SUBJECT: 1 RUN: 0 FOLD: 0 Correctly Classified Instances 4924 82.19 % Incorrectly Classified Instances 1067 17.81 % Kappa statistic 0.7922 Mean absolute error 0.0926 Root mean squared error 0.1962 Relative absolute error 37.8108 % Root relative squared error 56.0834 % Total Number of Instances 5991 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.783 0.04 0.767 0.783 0.775 0.968 chest 0.821 0.031 0.808 0.821 0.814 0.978 forearm 0.857 0.036 0.8 0.857 0.827 0.981 head 0.869 0.017 0.897 0.869 0.883 0.987 shin 0.814 0.019 0.876 0.814 0.844 0.976 thigh 0.794 0.033 0.8 0.794 0.797 0.973 upperarm 0.815 0.031 0.814 0.815 0.815 0.979 waist Weighted Avg. 0.822 0.03 0.823 0.822 0.822 0.978 === Confusion Matrix === a b c d e f g <-- classified as 673 24 39 7 15 43 58 | a = chest 41 682 31 12 9 20 36 | b = forearm 25 13 736 3 20 54 8 | c = head 18 13 17 749 29 17 19 | d = shin 27 28 17 38 699 24 26 | e = thigh 33 32 70 13 16 684 13 | f = upperarm 61 52 10 13 10 13 701 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4838 80.7545 % Incorrectly Classified Instances 1153 19.2455 % Kappa statistic 0.7755 Mean absolute error 0.0944 Root mean squared error 0.1992 Relative absolute error 38.564 % Root relative squared error 56.921 % Total Number of Instances 5991 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.799 0.041 0.764 0.799 0.781 0.967 chest 0.805 0.029 0.819 0.805 0.812 0.978 forearm 0.852 0.037 0.792 0.852 0.821 0.981 head 0.842 0.021 0.873 0.842 0.857 0.984 shin 0.771 0.022 0.856 0.771 0.811 0.972 thigh 0.78 0.034 0.792 0.78 0.786 0.97 upperarm 0.803 0.041 0.769 0.803 0.786 0.978 waist Weighted Avg. 0.808 0.032 0.809 0.808 0.808 0.976 === Confusion Matrix === a b c d e f g <-- classified as 686 27 36 5 21 35 49 | a = chest 37 669 24 12 16 21 52 | b = forearm 27 10 732 2 11 52 25 | c = head 23 17 23 726 34 15 24 | d = shin 33 18 19 52 662 42 33 | e = thigh 32 24 77 11 20 672 25 | f = upperarm 60 52 13 24 9 11 691 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4930 82.2901 % Incorrectly Classified Instances 1061 17.7099 % Kappa statistic 0.7934 Mean absolute error 0.0915 Root mean squared error 0.1953 Relative absolute error 37.3784 % Root relative squared error 55.802 % Total Number of Instances 5991 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.775 0.041 0.759 0.775 0.767 0.969 chest 0.83 0.032 0.806 0.83 0.818 0.979 forearm 0.868 0.033 0.816 0.868 0.842 0.984 head 0.861 0.017 0.895 0.861 0.878 0.983 shin 0.795 0.02 0.871 0.795 0.831 0.973 thigh 0.806 0.034 0.801 0.806 0.804 0.971 upperarm 0.824 0.03 0.819 0.824 0.822 0.98 waist Weighted Avg. 0.823 0.029 0.824 0.823 0.823 0.977 === Confusion Matrix === a b c d e f g <-- classified as 666 30 40 9 9 51 54 | a = chest 40 690 15 11 19 10 46 | b = forearm 24 21 746 0 12 50 6 | c = head 20 22 21 743 35 13 9 | d = shin 33 21 12 47 683 39 24 | e = thigh 34 23 65 10 18 694 17 | f = upperarm 60 49 15 10 8 9 708 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4893 81.6725 % Incorrectly Classified Instances 1098 18.3275 % Kappa statistic 0.7862 Mean absolute error 0.0939 Root mean squared error 0.1989 Relative absolute error 38.3302 % Root relative squared error 56.8384 % Total Number of Instances 5991 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.783 0.04 0.768 0.783 0.776 0.967 chest 0.847 0.033 0.804 0.847 0.825 0.976 forearm 0.859 0.032 0.819 0.859 0.838 0.98 head 0.838 0.018 0.885 0.838 0.861 0.978 shin 0.797 0.02 0.868 0.797 0.831 0.974 thigh 0.788 0.037 0.78 0.788 0.784 0.969 upperarm 0.806 0.033 0.802 0.806 0.804 0.979 waist Weighted Avg. 0.817 0.031 0.818 0.817 0.817 0.975 === Confusion Matrix === a b c d e f g <-- classified as 673 30 44 6 12 42 52 | a = chest 33 703 17 11 10 21 35 | b = forearm 16 21 737 0 15 61 8 | c = head 16 29 15 723 33 22 25 | d = shin 37 14 15 48 685 32 28 | e = thigh 46 23 62 13 16 679 23 | f = upperarm 55 54 10 16 18 14 693 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4953 82.6878 % Incorrectly Classified Instances 1037 17.3122 % Kappa statistic 0.798 Mean absolute error 0.091 Root mean squared error 0.1936 Relative absolute error 37.1549 % Root relative squared error 55.3255 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.794 0.034 0.794 0.794 0.794 0.974 chest 0.836 0.031 0.813 0.836 0.824 0.982 forearm 0.874 0.036 0.801 0.874 0.836 0.983 head 0.868 0.021 0.876 0.868 0.872 0.984 shin 0.801 0.017 0.885 0.801 0.841 0.977 thigh 0.765 0.032 0.801 0.765 0.783 0.973 upperarm 0.85 0.03 0.825 0.85 0.837 0.982 waist Weighted Avg. 0.827 0.029 0.828 0.827 0.827 0.979 === Confusion Matrix === a b c d e f g <-- classified as 682 38 28 8 11 40 52 | a = chest 40 694 19 10 11 16 40 | b = forearm 21 13 750 5 11 43 15 | c = head 10 22 18 749 31 16 17 | d = shin 38 18 14 50 688 33 18 | e = thigh 34 27 92 17 19 659 13 | f = upperarm 34 42 15 16 6 16 731 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4911 81.9866 % Incorrectly Classified Instances 1079 18.0134 % Kappa statistic 0.7898 Mean absolute error 0.0924 Root mean squared error 0.1965 Relative absolute error 37.717 % Root relative squared error 56.1499 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.778 0.043 0.751 0.778 0.764 0.968 chest 0.836 0.029 0.821 0.836 0.829 0.981 forearm 0.878 0.03 0.829 0.878 0.852 0.983 head 0.86 0.021 0.871 0.86 0.865 0.983 shin 0.781 0.022 0.855 0.781 0.816 0.974 thigh 0.806 0.033 0.806 0.806 0.806 0.973 upperarm 0.801 0.031 0.812 0.801 0.806 0.976 waist Weighted Avg. 0.82 0.03 0.821 0.82 0.82 0.977 === Confusion Matrix === a b c d e f g <-- classified as 668 24 40 11 12 52 52 | a = chest 36 694 16 10 13 21 40 | b = forearm 22 11 754 2 18 39 13 | c = head 15 22 11 741 37 18 18 | d = shin 46 17 12 52 671 30 31 | e = thigh 39 26 66 11 19 694 6 | f = upperarm 63 51 11 24 15 7 689 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4909 81.9533 % Incorrectly Classified Instances 1081 18.0467 % Kappa statistic 0.7894 Mean absolute error 0.0907 Root mean squared error 0.1953 Relative absolute error 37.0419 % Root relative squared error 55.8085 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.788 0.042 0.756 0.788 0.772 0.97 chest 0.813 0.03 0.813 0.813 0.813 0.975 forearm 0.845 0.032 0.817 0.845 0.831 0.981 head 0.883 0.018 0.894 0.883 0.888 0.987 shin 0.793 0.023 0.854 0.793 0.822 0.973 thigh 0.807 0.031 0.816 0.807 0.811 0.974 upperarm 0.807 0.035 0.792 0.807 0.8 0.976 waist Weighted Avg. 0.82 0.03 0.82 0.82 0.82 0.977 === Confusion Matrix === a b c d e f g <-- classified as 677 30 36 7 22 40 47 | a = chest 45 675 20 8 12 16 54 | b = forearm 26 14 726 5 15 56 17 | c = head 13 20 12 761 24 13 19 | d = shin 41 23 16 47 681 22 29 | e = thigh 27 22 67 9 25 695 16 | f = upperarm 66 46 12 14 18 10 694 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4871 81.3189 % Incorrectly Classified Instances 1119 18.6811 % Kappa statistic 0.7821 Mean absolute error 0.0932 Root mean squared error 0.1984 Relative absolute error 38.0399 % Root relative squared error 56.6998 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.772 0.048 0.729 0.772 0.75 0.966 chest 0.835 0.032 0.81 0.835 0.822 0.978 forearm 0.863 0.035 0.805 0.863 0.833 0.982 head 0.874 0.019 0.884 0.874 0.879 0.984 shin 0.786 0.023 0.852 0.786 0.818 0.972 thigh 0.78 0.033 0.799 0.78 0.79 0.971 upperarm 0.784 0.028 0.823 0.784 0.803 0.976 waist Weighted Avg. 0.813 0.031 0.815 0.813 0.813 0.976 === Confusion Matrix === a b c d e f g <-- classified as 663 32 42 8 20 46 48 | a = chest 45 693 14 13 15 12 38 | b = forearm 28 15 741 3 8 54 10 | c = head 18 14 16 753 31 14 16 | d = shin 39 20 18 45 675 37 25 | e = thigh 43 19 76 15 28 672 8 | f = upperarm 74 63 13 15 15 6 674 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4882 81.5025 % Incorrectly Classified Instances 1108 18.4975 % Kappa statistic 0.7842 Mean absolute error 0.0929 Root mean squared error 0.1976 Relative absolute error 37.9261 % Root relative squared error 56.4623 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.788 0.042 0.759 0.788 0.773 0.968 chest 0.838 0.03 0.817 0.838 0.827 0.981 forearm 0.873 0.033 0.816 0.873 0.844 0.982 head 0.846 0.021 0.87 0.846 0.858 0.981 shin 0.776 0.022 0.853 0.776 0.813 0.973 thigh 0.78 0.035 0.787 0.78 0.784 0.971 upperarm 0.805 0.032 0.81 0.805 0.807 0.977 waist Weighted Avg. 0.815 0.031 0.816 0.815 0.815 0.976 === Confusion Matrix === a b c d e f g <-- classified as 676 34 36 10 9 44 49 | a = chest 30 696 12 13 14 22 44 | b = forearm 22 12 750 2 14 46 13 | c = head 18 17 17 729 36 21 24 | d = shin 42 21 21 57 667 32 19 | e = thigh 39 18 75 16 28 672 13 | f = upperarm 64 54 8 11 14 17 692 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4854 81.0351 % Incorrectly Classified Instances 1136 18.9649 % Kappa statistic 0.7787 Mean absolute error 0.0951 Root mean squared error 0.2012 Relative absolute error 38.8498 % Root relative squared error 57.5004 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.766 0.046 0.734 0.766 0.75 0.964 chest 0.846 0.032 0.811 0.846 0.828 0.981 forearm 0.845 0.037 0.791 0.845 0.817 0.979 head 0.861 0.017 0.895 0.861 0.878 0.984 shin 0.775 0.021 0.859 0.775 0.815 0.97 thigh 0.776 0.035 0.791 0.776 0.783 0.965 upperarm 0.805 0.033 0.804 0.805 0.804 0.974 waist Weighted Avg. 0.81 0.032 0.812 0.81 0.811 0.974 === Confusion Matrix === a b c d e f g <-- classified as 657 31 52 5 14 48 51 | a = chest 40 703 13 8 11 12 44 | b = forearm 41 12 726 2 13 57 8 | c = head 15 19 15 742 38 16 17 | d = shin 44 23 20 46 666 33 27 | e = thigh 34 28 76 15 18 668 22 | f = upperarm 64 51 16 11 15 11 692 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 1 FOLD: 0 Correctly Classified Instances 4933 82.3402 % Incorrectly Classified Instances 1058 17.6598 % Kappa statistic 0.794 Mean absolute error 0.0919 Root mean squared error 0.1948 Relative absolute error 37.5089 % Root relative squared error 55.6572 % Total Number of Instances 5991 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.808 0.039 0.775 0.808 0.791 0.973 chest 0.826 0.03 0.816 0.826 0.821 0.98 forearm 0.863 0.032 0.818 0.863 0.84 0.984 head 0.872 0.024 0.86 0.872 0.866 0.984 shin 0.793 0.019 0.872 0.793 0.83 0.977 thigh 0.776 0.033 0.798 0.776 0.787 0.968 upperarm 0.827 0.028 0.83 0.827 0.828 0.981 waist Weighted Avg. 0.823 0.029 0.824 0.823 0.823 0.978 === Confusion Matrix === a b c d e f g <-- classified as 694 31 28 3 12 43 48 | a = chest 37 686 19 15 17 25 32 | b = forearm 30 13 741 2 12 49 12 | c = head 23 15 22 752 21 15 14 | d = shin 29 23 14 61 681 30 21 | e = thigh 34 28 69 18 25 668 19 | f = upperarm 48 45 13 23 13 7 711 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4895 81.7059 % Incorrectly Classified Instances 1096 18.2941 % Kappa statistic 0.7866 Mean absolute error 0.0916 Root mean squared error 0.196 Relative absolute error 37.4217 % Root relative squared error 56.0059 % Total Number of Instances 5991 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.789 0.046 0.74 0.789 0.764 0.967 chest 0.846 0.027 0.836 0.846 0.841 0.982 forearm 0.857 0.034 0.811 0.857 0.833 0.981 head 0.864 0.016 0.9 0.864 0.882 0.988 shin 0.792 0.022 0.859 0.792 0.824 0.974 thigh 0.76 0.036 0.779 0.76 0.769 0.968 upperarm 0.813 0.033 0.807 0.813 0.81 0.979 waist Weighted Avg. 0.817 0.031 0.819 0.817 0.817 0.977 === Confusion Matrix === a b c d e f g <-- classified as 678 28 36 3 15 52 47 | a = chest 40 703 14 9 9 16 40 | b = forearm 21 16 736 3 14 59 10 | c = head 22 17 11 745 30 17 20 | d = shin 46 18 18 42 680 25 30 | e = thigh 38 24 81 12 32 654 20 | f = upperarm 71 35 12 14 12 17 699 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4843 80.8379 % Incorrectly Classified Instances 1148 19.1621 % Kappa statistic 0.7764 Mean absolute error 0.0943 Root mean squared error 0.2 Relative absolute error 38.5249 % Root relative squared error 57.1526 % Total Number of Instances 5991 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.768 0.046 0.738 0.768 0.753 0.968 chest 0.817 0.034 0.797 0.817 0.807 0.975 forearm 0.843 0.036 0.796 0.843 0.819 0.979 head 0.84 0.018 0.889 0.84 0.864 0.98 shin 0.801 0.02 0.872 0.801 0.835 0.974 thigh 0.778 0.034 0.795 0.778 0.786 0.967 upperarm 0.812 0.037 0.784 0.812 0.798 0.975 waist Weighted Avg. 0.808 0.032 0.81 0.808 0.809 0.974 === Confusion Matrix === a b c d e f g <-- classified as 660 25 47 7 14 39 67 | a = chest 39 679 19 15 14 18 47 | b = forearm 36 17 724 2 11 51 18 | c = head 20 28 18 724 30 28 14 | d = shin 38 25 13 39 688 26 30 | e = thigh 43 26 72 14 20 670 16 | f = upperarm 58 52 16 13 12 11 698 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4931 82.3068 % Incorrectly Classified Instances 1060 17.6932 % Kappa statistic 0.7936 Mean absolute error 0.0915 Root mean squared error 0.195 Relative absolute error 37.3483 % Root relative squared error 55.7244 % Total Number of Instances 5991 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.783 0.042 0.756 0.783 0.77 0.967 chest 0.848 0.031 0.813 0.848 0.83 0.98 forearm 0.874 0.033 0.816 0.874 0.844 0.985 head 0.868 0.017 0.894 0.868 0.881 0.984 shin 0.782 0.019 0.872 0.782 0.825 0.976 thigh 0.796 0.035 0.795 0.796 0.795 0.974 upperarm 0.81 0.029 0.826 0.81 0.818 0.979 waist Weighted Avg. 0.823 0.029 0.825 0.823 0.823 0.978 === Confusion Matrix === a b c d e f g <-- classified as 673 34 35 8 9 49 51 | a = chest 32 705 19 9 10 20 36 | b = forearm 20 16 751 3 14 43 12 | c = head 16 16 11 748 34 15 22 | d = shin 48 18 22 42 672 36 21 | e = thigh 32 29 71 17 22 686 5 | f = upperarm 69 49 11 10 10 14 696 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4927 82.2538 % Incorrectly Classified Instances 1063 17.7462 % Kappa statistic 0.793 Mean absolute error 0.093 Root mean squared error 0.1975 Relative absolute error 37.9961 % Root relative squared error 56.4334 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.778 0.043 0.751 0.778 0.764 0.968 chest 0.845 0.028 0.827 0.845 0.836 0.98 forearm 0.86 0.032 0.817 0.86 0.838 0.98 head 0.868 0.019 0.884 0.868 0.876 0.985 shin 0.779 0.019 0.87 0.779 0.822 0.971 thigh 0.818 0.035 0.799 0.818 0.808 0.975 upperarm 0.812 0.03 0.819 0.812 0.815 0.977 waist Weighted Avg. 0.823 0.03 0.824 0.823 0.823 0.977 === Confusion Matrix === a b c d e f g <-- classified as 668 31 35 7 16 52 50 | a = chest 35 701 21 8 17 9 39 | b = forearm 34 7 739 3 13 54 9 | c = head 15 21 15 748 28 13 22 | d = shin 46 18 10 55 669 36 25 | e = thigh 26 26 69 10 17 704 9 | f = upperarm 65 44 16 15 9 13 698 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4922 82.1703 % Incorrectly Classified Instances 1068 17.8297 % Kappa statistic 0.792 Mean absolute error 0.0913 Root mean squared error 0.195 Relative absolute error 37.2737 % Root relative squared error 55.7326 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.782 0.041 0.762 0.782 0.772 0.966 chest 0.839 0.031 0.813 0.839 0.826 0.981 forearm 0.872 0.032 0.819 0.872 0.844 0.986 head 0.856 0.017 0.895 0.856 0.875 0.984 shin 0.799 0.017 0.885 0.799 0.84 0.979 thigh 0.791 0.034 0.797 0.791 0.794 0.972 upperarm 0.814 0.036 0.793 0.814 0.803 0.977 waist Weighted Avg. 0.822 0.03 0.823 0.822 0.822 0.978 === Confusion Matrix === a b c d e f g <-- classified as 672 33 36 6 14 33 65 | a = chest 36 696 15 9 11 15 48 | b = forearm 28 8 749 2 10 54 8 | c = head 15 20 20 738 33 11 25 | d = shin 36 22 15 33 686 46 21 | e = thigh 33 24 71 21 15 681 16 | f = upperarm 62 53 9 16 6 14 700 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4918 82.1035 % Incorrectly Classified Instances 1072 17.8965 % Kappa statistic 0.7912 Mean absolute error 0.0928 Root mean squared error 0.197 Relative absolute error 37.8822 % Root relative squared error 56.3084 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.772 0.042 0.754 0.772 0.763 0.965 chest 0.837 0.031 0.815 0.837 0.826 0.98 forearm 0.856 0.033 0.812 0.856 0.833 0.98 head 0.876 0.02 0.881 0.876 0.879 0.985 shin 0.773 0.019 0.871 0.773 0.819 0.971 thigh 0.81 0.032 0.808 0.81 0.809 0.973 upperarm 0.824 0.032 0.814 0.824 0.819 0.978 waist Weighted Avg. 0.821 0.03 0.822 0.821 0.821 0.976 === Confusion Matrix === a b c d e f g <-- classified as 662 33 48 17 8 47 43 | a = chest 39 695 15 6 15 11 49 | b = forearm 29 12 735 5 15 53 10 | c = head 13 19 13 756 35 10 17 | d = shin 41 25 16 48 664 33 32 | e = thigh 38 21 68 12 14 697 11 | f = upperarm 56 48 10 14 11 12 709 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4864 81.202 % Incorrectly Classified Instances 1126 18.798 % Kappa statistic 0.7807 Mean absolute error 0.0943 Root mean squared error 0.1989 Relative absolute error 38.5119 % Root relative squared error 56.8456 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.775 0.042 0.755 0.775 0.765 0.968 chest 0.83 0.033 0.803 0.83 0.816 0.981 forearm 0.866 0.036 0.803 0.866 0.833 0.98 head 0.839 0.021 0.868 0.839 0.853 0.982 shin 0.807 0.02 0.868 0.807 0.836 0.974 thigh 0.794 0.034 0.796 0.794 0.795 0.972 upperarm 0.773 0.033 0.798 0.773 0.786 0.975 waist Weighted Avg. 0.812 0.031 0.813 0.812 0.812 0.976 === Confusion Matrix === a b c d e f g <-- classified as 665 35 41 7 13 50 47 | a = chest 40 689 16 17 9 12 47 | b = forearm 27 14 744 4 13 45 12 | c = head 15 23 19 724 39 26 17 | d = shin 28 15 17 47 693 29 30 | e = thigh 37 17 73 13 22 684 15 | f = upperarm 69 65 17 22 9 13 665 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4905 81.8865 % Incorrectly Classified Instances 1085 18.1135 % Kappa statistic 0.7887 Mean absolute error 0.092 Root mean squared error 0.1963 Relative absolute error 37.5475 % Root relative squared error 56.1044 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.789 0.042 0.758 0.789 0.773 0.969 chest 0.823 0.028 0.828 0.823 0.825 0.977 forearm 0.859 0.034 0.808 0.859 0.833 0.98 head 0.862 0.018 0.891 0.862 0.876 0.985 shin 0.792 0.022 0.858 0.792 0.823 0.974 thigh 0.787 0.036 0.787 0.787 0.787 0.971 upperarm 0.82 0.032 0.811 0.82 0.816 0.98 waist Weighted Avg. 0.819 0.03 0.82 0.819 0.819 0.977 === Confusion Matrix === a b c d e f g <-- classified as 678 32 31 2 18 46 52 | a = chest 38 683 24 11 14 19 41 | b = forearm 21 19 737 2 19 49 11 | c = head 19 16 14 744 32 15 23 | d = shin 37 13 11 53 680 40 25 | e = thigh 38 28 81 10 14 678 12 | f = upperarm 64 34 14 13 16 14 705 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4871 81.3189 % Incorrectly Classified Instances 1119 18.6811 % Kappa statistic 0.7821 Mean absolute error 0.0943 Root mean squared error 0.1995 Relative absolute error 38.5064 % Root relative squared error 57.0068 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.794 0.041 0.765 0.794 0.779 0.97 chest 0.816 0.032 0.803 0.816 0.81 0.975 forearm 0.839 0.033 0.812 0.839 0.825 0.981 head 0.861 0.022 0.87 0.861 0.865 0.981 shin 0.794 0.024 0.846 0.794 0.819 0.972 thigh 0.785 0.037 0.782 0.785 0.783 0.97 upperarm 0.803 0.03 0.82 0.803 0.812 0.978 waist Weighted Avg. 0.813 0.031 0.814 0.813 0.813 0.975 === Confusion Matrix === a b c d e f g <-- classified as 682 26 37 6 18 47 43 | a = chest 46 678 17 14 11 20 45 | b = forearm 23 12 720 1 19 70 13 | c = head 21 16 14 742 38 19 12 | d = shin 32 24 15 55 682 25 26 | e = thigh 33 26 74 16 23 676 13 | f = upperarm 55 62 10 19 15 8 691 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 2 FOLD: 0 Correctly Classified Instances 4911 81.973 % Incorrectly Classified Instances 1080 18.027 % Kappa statistic 0.7897 Mean absolute error 0.0916 Root mean squared error 0.1963 Relative absolute error 37.4129 % Root relative squared error 56.0967 % Total Number of Instances 5991 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.785 0.041 0.762 0.785 0.773 0.969 chest 0.813 0.028 0.821 0.813 0.817 0.978 forearm 0.873 0.036 0.802 0.873 0.836 0.983 head 0.871 0.02 0.878 0.871 0.875 0.984 shin 0.8 0.019 0.877 0.8 0.837 0.973 thigh 0.784 0.033 0.802 0.784 0.793 0.97 upperarm 0.812 0.033 0.804 0.812 0.808 0.978 waist Weighted Avg. 0.82 0.03 0.821 0.82 0.82 0.977 === Confusion Matrix === a b c d e f g <-- classified as 674 25 38 8 12 45 57 | a = chest 43 675 20 16 14 15 47 | b = forearm 20 15 750 1 11 51 11 | c = head 21 19 15 751 27 16 13 | d = shin 35 10 18 52 687 29 28 | e = thigh 35 22 84 12 19 676 14 | f = upperarm 57 56 10 15 13 11 698 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4937 82.4069 % Incorrectly Classified Instances 1054 17.5931 % Kappa statistic 0.7947 Mean absolute error 0.0916 Root mean squared error 0.1951 Relative absolute error 37.4207 % Root relative squared error 55.7516 % Total Number of Instances 5991 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.793 0.038 0.777 0.793 0.785 0.971 chest 0.819 0.032 0.805 0.819 0.812 0.979 forearm 0.856 0.032 0.818 0.856 0.836 0.982 head 0.863 0.019 0.884 0.863 0.873 0.982 shin 0.817 0.02 0.874 0.817 0.845 0.979 thigh 0.792 0.033 0.801 0.792 0.797 0.973 upperarm 0.828 0.031 0.816 0.828 0.822 0.979 waist Weighted Avg. 0.824 0.029 0.825 0.824 0.824 0.978 === Confusion Matrix === a b c d e f g <-- classified as 681 33 31 8 9 46 51 | a = chest 41 681 23 12 12 13 49 | b = forearm 22 17 735 2 15 54 14 | c = head 18 22 18 744 30 14 16 | d = shin 34 12 10 49 702 33 19 | e = thigh 32 24 75 16 20 682 12 | f = upperarm 49 57 7 11 15 9 712 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4840 80.7878 % Incorrectly Classified Instances 1151 19.2122 % Kappa statistic 0.7759 Mean absolute error 0.0947 Root mean squared error 0.1999 Relative absolute error 38.653 % Root relative squared error 57.1322 % Total Number of Instances 5991 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.752 0.042 0.752 0.752 0.752 0.964 chest 0.827 0.035 0.793 0.827 0.81 0.977 forearm 0.858 0.035 0.802 0.858 0.829 0.98 head 0.846 0.017 0.896 0.846 0.87 0.984 shin 0.778 0.024 0.847 0.778 0.811 0.97 thigh 0.79 0.036 0.786 0.79 0.788 0.968 upperarm 0.806 0.036 0.788 0.806 0.797 0.977 waist Weighted Avg. 0.808 0.032 0.809 0.808 0.808 0.974 === Confusion Matrix === a b c d e f g <-- classified as 646 37 48 4 20 44 60 | a = chest 32 687 22 11 12 18 49 | b = forearm 30 15 737 3 11 55 8 | c = head 19 25 13 729 41 16 19 | d = shin 29 23 14 48 668 42 35 | e = thigh 43 23 75 8 17 680 15 | f = upperarm 60 56 10 11 20 10 693 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4911 81.973 % Incorrectly Classified Instances 1080 18.027 % Kappa statistic 0.7897 Mean absolute error 0.0909 Root mean squared error 0.1949 Relative absolute error 37.099 % Root relative squared error 55.7059 % Total Number of Instances 5991 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.773 0.039 0.769 0.773 0.771 0.967 chest 0.853 0.031 0.818 0.853 0.835 0.981 forearm 0.847 0.034 0.804 0.847 0.825 0.981 head 0.883 0.018 0.891 0.883 0.887 0.985 shin 0.766 0.02 0.864 0.766 0.812 0.97 thigh 0.81 0.037 0.788 0.81 0.798 0.975 upperarm 0.807 0.031 0.813 0.807 0.81 0.98 waist Weighted Avg. 0.82 0.03 0.821 0.82 0.82 0.977 === Confusion Matrix === a b c d e f g <-- classified as 664 26 28 9 14 59 59 | a = chest 34 709 19 6 16 17 30 | b = forearm 24 17 728 8 13 56 13 | c = head 9 16 13 761 34 10 19 | d = shin 45 25 23 46 658 33 29 | e = thigh 24 25 81 7 17 697 10 | f = upperarm 64 49 13 17 10 13 694 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4877 81.419 % Incorrectly Classified Instances 1113 18.581 % Kappa statistic 0.7832 Mean absolute error 0.0945 Root mean squared error 0.1995 Relative absolute error 38.5946 % Root relative squared error 57.0052 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.801 0.042 0.761 0.801 0.78 0.968 chest 0.823 0.029 0.822 0.823 0.823 0.978 forearm 0.85 0.034 0.806 0.85 0.827 0.98 head 0.853 0.02 0.875 0.853 0.864 0.983 shin 0.766 0.019 0.872 0.766 0.815 0.972 thigh 0.785 0.037 0.781 0.785 0.783 0.971 upperarm 0.822 0.035 0.796 0.822 0.809 0.978 waist Weighted Avg. 0.814 0.031 0.816 0.814 0.814 0.976 === Confusion Matrix === a b c d e f g <-- classified as 687 20 32 7 13 51 48 | a = chest 39 684 22 3 15 17 51 | b = forearm 28 14 730 1 15 58 13 | c = head 16 22 19 735 32 18 20 | d = shin 37 20 17 57 658 40 30 | e = thigh 38 29 70 16 13 676 19 | f = upperarm 58 43 16 21 9 6 707 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4894 81.7028 % Incorrectly Classified Instances 1096 18.2972 % Kappa statistic 0.7865 Mean absolute error 0.0943 Root mean squared error 0.1982 Relative absolute error 38.5173 % Root relative squared error 56.6545 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.811 0.046 0.748 0.811 0.778 0.97 chest 0.844 0.032 0.809 0.844 0.826 0.981 forearm 0.858 0.034 0.81 0.858 0.833 0.981 head 0.849 0.021 0.874 0.849 0.861 0.981 shin 0.783 0.018 0.881 0.783 0.829 0.97 thigh 0.793 0.037 0.784 0.793 0.789 0.969 upperarm 0.781 0.027 0.83 0.781 0.805 0.979 waist Weighted Avg. 0.817 0.03 0.819 0.817 0.817 0.976 === Confusion Matrix === a b c d e f g <-- classified as 696 28 48 9 15 35 27 | a = chest 29 701 19 10 7 26 39 | b = forearm 23 17 737 1 19 52 10 | c = head 16 24 17 732 27 24 22 | d = shin 37 23 14 53 673 34 25 | e = thigh 50 22 61 14 16 683 15 | f = upperarm 80 51 14 19 7 17 672 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4902 81.8364 % Incorrectly Classified Instances 1088 18.1636 % Kappa statistic 0.7881 Mean absolute error 0.0925 Root mean squared error 0.1968 Relative absolute error 37.7595 % Root relative squared error 56.2368 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.799 0.047 0.741 0.799 0.769 0.968 chest 0.842 0.031 0.813 0.842 0.827 0.981 forearm 0.859 0.037 0.793 0.859 0.825 0.982 head 0.851 0.019 0.885 0.851 0.868 0.982 shin 0.786 0.019 0.873 0.786 0.827 0.974 thigh 0.779 0.032 0.805 0.779 0.792 0.974 upperarm 0.814 0.027 0.834 0.814 0.824 0.978 waist Weighted Avg. 0.818 0.03 0.821 0.818 0.819 0.977 === Confusion Matrix === a b c d e f g <-- classified as 686 30 50 8 11 35 39 | a = chest 47 699 14 8 8 21 33 | b = forearm 35 12 737 3 10 46 15 | c = head 22 23 18 734 33 18 15 | d = shin 46 18 15 47 675 35 23 | e = thigh 32 24 77 19 24 671 14 | f = upperarm 58 54 18 10 12 8 700 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4894 81.7028 % Incorrectly Classified Instances 1096 18.2972 % Kappa statistic 0.7865 Mean absolute error 0.0932 Root mean squared error 0.1971 Relative absolute error 38.0501 % Root relative squared error 56.3399 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.78 0.041 0.761 0.78 0.771 0.968 chest 0.818 0.028 0.825 0.818 0.822 0.979 forearm 0.853 0.031 0.82 0.853 0.836 0.981 head 0.876 0.02 0.882 0.876 0.879 0.985 shin 0.807 0.022 0.858 0.807 0.831 0.979 thigh 0.791 0.037 0.782 0.791 0.786 0.969 upperarm 0.794 0.034 0.796 0.794 0.795 0.975 waist Weighted Avg. 0.817 0.031 0.818 0.817 0.817 0.977 === Confusion Matrix === a b c d e f g <-- classified as 670 28 39 4 23 44 51 | a = chest 40 679 18 13 10 16 54 | b = forearm 23 10 732 3 12 63 15 | c = head 11 15 15 756 31 18 17 | d = shin 29 19 11 48 693 37 22 | e = thigh 40 27 62 16 19 681 16 | f = upperarm 67 45 16 17 20 12 683 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4856 81.0684 % Incorrectly Classified Instances 1134 18.9316 % Kappa statistic 0.7791 Mean absolute error 0.0926 Root mean squared error 0.1974 Relative absolute error 37.7953 % Root relative squared error 56.4262 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.774 0.045 0.741 0.774 0.757 0.966 chest 0.819 0.032 0.806 0.819 0.812 0.979 forearm 0.86 0.038 0.79 0.86 0.824 0.981 head 0.853 0.02 0.877 0.853 0.865 0.984 shin 0.787 0.023 0.852 0.787 0.818 0.974 thigh 0.776 0.03 0.812 0.776 0.793 0.972 upperarm 0.806 0.033 0.806 0.806 0.806 0.979 waist Weighted Avg. 0.811 0.032 0.812 0.811 0.811 0.977 === Confusion Matrix === a b c d e f g <-- classified as 665 36 36 10 16 37 59 | a = chest 41 680 27 15 11 15 41 | b = forearm 27 16 739 4 17 48 8 | c = head 22 18 20 736 38 13 16 | d = shin 43 21 16 43 676 35 25 | e = thigh 42 18 79 17 19 668 18 | f = upperarm 57 55 18 14 16 7 692 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4934 82.3706 % Incorrectly Classified Instances 1056 17.6294 % Kappa statistic 0.7943 Mean absolute error 0.0912 Root mean squared error 0.1947 Relative absolute error 37.2528 % Root relative squared error 55.6482 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.776 0.038 0.772 0.776 0.774 0.969 chest 0.836 0.029 0.82 0.836 0.828 0.98 forearm 0.866 0.031 0.826 0.866 0.845 0.985 head 0.857 0.017 0.894 0.857 0.875 0.983 shin 0.808 0.022 0.862 0.808 0.834 0.975 thigh 0.813 0.034 0.799 0.813 0.806 0.974 upperarm 0.809 0.034 0.799 0.809 0.804 0.976 waist Weighted Avg. 0.824 0.029 0.825 0.824 0.824 0.978 === Confusion Matrix === a b c d e f g <-- classified as 667 27 42 6 14 44 59 | a = chest 36 694 17 7 15 16 45 | b = forearm 21 14 744 2 12 57 9 | c = head 21 12 11 739 35 18 26 | d = shin 37 27 8 45 694 27 21 | e = thigh 26 21 67 10 22 700 15 | f = upperarm 56 51 12 18 13 14 696 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 3 FOLD: 0 Correctly Classified Instances 4907 81.9062 % Incorrectly Classified Instances 1084 18.0938 % Kappa statistic 0.7889 Mean absolute error 0.0912 Root mean squared error 0.1958 Relative absolute error 37.2581 % Root relative squared error 55.9486 % Total Number of Instances 5991 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.794 0.039 0.775 0.794 0.784 0.971 chest 0.839 0.032 0.81 0.839 0.824 0.978 forearm 0.85 0.032 0.817 0.85 0.833 0.982 head 0.879 0.021 0.874 0.879 0.877 0.984 shin 0.792 0.022 0.856 0.792 0.823 0.975 thigh 0.789 0.035 0.792 0.789 0.79 0.973 upperarm 0.792 0.031 0.812 0.792 0.802 0.978 waist Weighted Avg. 0.819 0.03 0.82 0.819 0.819 0.977 === Confusion Matrix === a b c d e f g <-- classified as 682 24 29 6 18 47 53 | a = chest 26 696 17 2 13 24 52 | b = forearm 26 16 730 6 17 54 10 | c = head 11 19 17 759 29 14 14 | d = shin 39 15 15 59 680 32 19 | e = thigh 33 31 71 11 26 679 10 | f = upperarm 63 58 15 25 11 7 681 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4880 81.4555 % Incorrectly Classified Instances 1111 18.5445 % Kappa statistic 0.7837 Mean absolute error 0.0935 Root mean squared error 0.1985 Relative absolute error 38.1987 % Root relative squared error 56.7378 % Total Number of Instances 5991 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.75 0.041 0.756 0.75 0.753 0.966 chest 0.836 0.033 0.801 0.836 0.818 0.978 forearm 0.867 0.038 0.793 0.867 0.828 0.98 head 0.862 0.018 0.889 0.862 0.875 0.983 shin 0.794 0.018 0.882 0.794 0.836 0.973 thigh 0.78 0.036 0.786 0.78 0.783 0.973 upperarm 0.813 0.033 0.805 0.813 0.809 0.975 waist Weighted Avg. 0.815 0.031 0.816 0.815 0.815 0.975 === Confusion Matrix === a b c d e f g <-- classified as 644 36 44 4 16 53 62 | a = chest 31 694 16 16 13 19 41 | b = forearm 27 17 745 3 7 48 12 | c = head 23 20 18 744 23 18 17 | d = shin 33 20 26 43 682 28 27 | e = thigh 37 27 81 14 20 672 10 | f = upperarm 57 52 10 13 12 17 699 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4932 82.3235 % Incorrectly Classified Instances 1059 17.6765 % Kappa statistic 0.7938 Mean absolute error 0.0913 Root mean squared error 0.195 Relative absolute error 37.2984 % Root relative squared error 55.7223 % Total Number of Instances 5991 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.779 0.044 0.747 0.779 0.762 0.966 chest 0.865 0.034 0.803 0.865 0.833 0.981 forearm 0.871 0.03 0.829 0.871 0.85 0.985 head 0.857 0.019 0.882 0.857 0.869 0.985 shin 0.802 0.022 0.861 0.802 0.831 0.98 thigh 0.791 0.028 0.827 0.791 0.809 0.972 upperarm 0.799 0.029 0.822 0.799 0.81 0.979 waist Weighted Avg. 0.823 0.029 0.825 0.823 0.823 0.978 === Confusion Matrix === a b c d e f g <-- classified as 669 48 30 5 15 40 52 | a = chest 33 718 20 12 9 9 29 | b = forearm 36 12 748 2 10 39 12 | c = head 18 21 12 739 46 14 12 | d = shin 38 17 12 50 689 34 19 | e = thigh 34 23 69 11 18 682 25 | f = upperarm 68 55 11 19 13 7 687 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4896 81.7226 % Incorrectly Classified Instances 1095 18.2774 % Kappa statistic 0.7868 Mean absolute error 0.0932 Root mean squared error 0.1973 Relative absolute error 38.0534 % Root relative squared error 56.3918 % Total Number of Instances 5991 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.789 0.042 0.76 0.789 0.774 0.97 chest 0.823 0.03 0.814 0.823 0.819 0.978 forearm 0.882 0.038 0.797 0.882 0.838 0.981 head 0.862 0.016 0.898 0.862 0.88 0.982 shin 0.796 0.019 0.878 0.796 0.835 0.976 thigh 0.769 0.033 0.796 0.769 0.782 0.97 upperarm 0.799 0.036 0.79 0.799 0.794 0.978 waist Weighted Avg. 0.817 0.03 0.819 0.817 0.817 0.976 === Confusion Matrix === a b c d e f g <-- classified as 678 28 37 6 11 42 57 | a = chest 31 684 22 11 9 19 55 | b = forearm 19 7 758 3 13 44 15 | c = head 21 22 13 743 26 16 21 | d = shin 44 23 16 38 684 35 19 | e = thigh 40 17 88 15 23 662 16 | f = upperarm 59 59 17 11 13 14 687 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4885 81.5526 % Incorrectly Classified Instances 1105 18.4474 % Kappa statistic 0.7848 Mean absolute error 0.0938 Root mean squared error 0.198 Relative absolute error 38.3184 % Root relative squared error 56.5909 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.778 0.044 0.746 0.778 0.762 0.968 chest 0.854 0.034 0.803 0.854 0.828 0.979 forearm 0.857 0.035 0.802 0.857 0.828 0.98 head 0.862 0.015 0.906 0.862 0.883 0.986 shin 0.783 0.021 0.862 0.783 0.821 0.974 thigh 0.772 0.036 0.782 0.772 0.777 0.968 upperarm 0.803 0.03 0.82 0.803 0.812 0.977 waist Weighted Avg. 0.816 0.031 0.817 0.816 0.816 0.976 === Confusion Matrix === a b c d e f g <-- classified as 668 35 44 2 18 47 45 | a = chest 40 710 9 11 13 12 36 | b = forearm 25 18 735 0 8 61 11 | c = head 20 15 16 743 32 20 16 | d = shin 48 21 20 41 673 29 27 | e = thigh 32 32 81 7 27 665 17 | f = upperarm 62 53 12 16 10 16 691 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4888 81.6027 % Incorrectly Classified Instances 1102 18.3973 % Kappa statistic 0.7854 Mean absolute error 0.092 Root mean squared error 0.1958 Relative absolute error 37.5748 % Root relative squared error 55.9464 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.8 0.043 0.756 0.8 0.777 0.97 chest 0.832 0.03 0.817 0.832 0.824 0.979 forearm 0.857 0.035 0.802 0.857 0.829 0.984 head 0.867 0.02 0.881 0.867 0.874 0.985 shin 0.761 0.019 0.867 0.761 0.811 0.97 thigh 0.792 0.036 0.787 0.792 0.789 0.973 upperarm 0.805 0.031 0.814 0.805 0.809 0.979 waist Weighted Avg. 0.816 0.031 0.818 0.816 0.816 0.977 === Confusion Matrix === a b c d e f g <-- classified as 687 24 43 7 10 47 41 | a = chest 43 691 18 8 13 15 43 | b = forearm 26 12 735 4 15 59 7 | c = head 8 19 20 747 34 12 22 | d = shin 37 26 17 52 654 37 36 | e = thigh 39 22 73 21 15 682 9 | f = upperarm 69 52 10 9 13 15 692 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4880 81.4691 % Incorrectly Classified Instances 1110 18.5309 % Kappa statistic 0.7838 Mean absolute error 0.0942 Root mean squared error 0.1988 Relative absolute error 38.461 % Root relative squared error 56.8058 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.775 0.041 0.758 0.775 0.767 0.966 chest 0.842 0.031 0.812 0.842 0.827 0.98 forearm 0.845 0.039 0.784 0.845 0.813 0.977 head 0.857 0.021 0.875 0.857 0.866 0.979 shin 0.789 0.016 0.891 0.789 0.837 0.974 thigh 0.767 0.039 0.767 0.767 0.767 0.968 upperarm 0.828 0.029 0.829 0.828 0.828 0.98 waist Weighted Avg. 0.815 0.031 0.817 0.815 0.815 0.975 === Confusion Matrix === a b c d e f g <-- classified as 665 30 49 12 11 49 42 | a = chest 35 700 18 12 10 20 36 | b = forearm 27 15 726 3 15 58 15 | c = head 20 23 21 739 21 19 19 | d = shin 37 24 11 50 678 35 24 | e = thigh 43 28 90 15 14 660 11 | f = upperarm 50 42 11 14 12 19 712 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4942 82.5042 % Incorrectly Classified Instances 1048 17.4958 % Kappa statistic 0.7959 Mean absolute error 0.0908 Root mean squared error 0.1932 Relative absolute error 37.0645 % Root relative squared error 55.2001 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.796 0.044 0.753 0.796 0.774 0.969 chest 0.812 0.028 0.824 0.812 0.818 0.978 forearm 0.865 0.033 0.816 0.865 0.84 0.984 head 0.869 0.016 0.899 0.869 0.884 0.986 shin 0.795 0.021 0.863 0.795 0.828 0.975 thigh 0.813 0.028 0.827 0.813 0.82 0.976 upperarm 0.824 0.034 0.803 0.824 0.814 0.979 waist Weighted Avg. 0.825 0.029 0.827 0.825 0.825 0.978 === Confusion Matrix === a b c d e f g <-- classified as 683 30 40 7 10 32 56 | a = chest 48 675 27 8 14 12 47 | b = forearm 22 17 743 1 14 55 7 | c = head 20 14 11 749 38 14 16 | d = shin 47 18 10 43 683 25 33 | e = thigh 31 19 68 8 20 700 15 | f = upperarm 56 46 12 17 12 8 709 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4852 81.0017 % Incorrectly Classified Instances 1138 18.9983 % Kappa statistic 0.7784 Mean absolute error 0.0929 Root mean squared error 0.198 Relative absolute error 37.939 % Root relative squared error 56.5875 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.802 0.046 0.746 0.802 0.773 0.971 chest 0.82 0.034 0.796 0.82 0.808 0.979 forearm 0.842 0.032 0.817 0.842 0.829 0.98 head 0.841 0.019 0.881 0.841 0.861 0.983 shin 0.783 0.022 0.855 0.783 0.818 0.971 thigh 0.79 0.034 0.798 0.79 0.794 0.97 upperarm 0.792 0.036 0.788 0.792 0.79 0.976 waist Weighted Avg. 0.81 0.032 0.812 0.81 0.81 0.976 === Confusion Matrix === a b c d e f g <-- classified as 689 26 35 5 21 36 47 | a = chest 48 681 15 9 14 20 43 | b = forearm 34 14 723 1 17 56 14 | c = head 15 28 19 725 32 18 25 | d = shin 37 26 16 49 673 28 30 | e = thigh 35 23 60 18 21 680 24 | f = upperarm 65 58 17 16 9 14 681 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4850 80.9683 % Incorrectly Classified Instances 1140 19.0317 % Kappa statistic 0.778 Mean absolute error 0.0941 Root mean squared error 0.1994 Relative absolute error 38.4139 % Root relative squared error 56.9764 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.779 0.042 0.759 0.779 0.769 0.965 chest 0.822 0.026 0.838 0.822 0.83 0.981 forearm 0.865 0.037 0.798 0.865 0.83 0.981 head 0.83 0.022 0.862 0.83 0.845 0.98 shin 0.779 0.024 0.844 0.779 0.81 0.971 thigh 0.777 0.036 0.782 0.777 0.78 0.973 upperarm 0.817 0.035 0.794 0.817 0.806 0.979 waist Weighted Avg. 0.81 0.032 0.811 0.81 0.81 0.976 === Confusion Matrix === a b c d e f g <-- classified as 669 28 37 7 13 47 58 | a = chest 43 682 18 12 10 18 47 | b = forearm 28 12 743 2 13 51 10 | c = head 16 16 25 716 43 22 25 | d = shin 31 18 16 61 669 37 27 | e = thigh 27 18 83 20 29 669 15 | f = upperarm 68 40 9 13 16 11 702 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 4 FOLD: 0 Correctly Classified Instances 4913 82.0063 % Incorrectly Classified Instances 1078 17.9937 % Kappa statistic 0.7901 Mean absolute error 0.0921 Root mean squared error 0.1957 Relative absolute error 37.6205 % Root relative squared error 55.9337 % Total Number of Instances 5991 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.792 0.043 0.756 0.792 0.773 0.969 chest 0.846 0.031 0.816 0.846 0.831 0.982 forearm 0.86 0.034 0.807 0.86 0.833 0.983 head 0.857 0.021 0.871 0.857 0.864 0.984 shin 0.795 0.018 0.884 0.795 0.837 0.975 thigh 0.794 0.033 0.801 0.794 0.797 0.971 upperarm 0.798 0.03 0.816 0.798 0.807 0.979 waist Weighted Avg. 0.82 0.03 0.822 0.82 0.82 0.977 === Confusion Matrix === a b c d e f g <-- classified as 680 25 43 5 12 44 50 | a = chest 45 703 11 8 10 14 40 | b = forearm 26 14 738 2 8 57 13 | c = head 15 29 23 739 28 16 12 | d = shin 31 25 12 55 683 29 24 | e = thigh 36 22 71 13 20 684 16 | f = upperarm 67 43 16 26 12 10 686 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4926 82.2233 % Incorrectly Classified Instances 1065 17.7767 % Kappa statistic 0.7926 Mean absolute error 0.092 Root mean squared error 0.1963 Relative absolute error 37.5825 % Root relative squared error 56.0868 % Total Number of Instances 5991 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.772 0.045 0.742 0.772 0.757 0.964 chest 0.84 0.028 0.827 0.84 0.833 0.982 forearm 0.871 0.034 0.812 0.871 0.84 0.984 head 0.856 0.021 0.873 0.856 0.865 0.982 shin 0.796 0.019 0.872 0.796 0.833 0.975 thigh 0.799 0.03 0.817 0.799 0.808 0.975 upperarm 0.822 0.03 0.82 0.822 0.821 0.977 waist Weighted Avg. 0.822 0.03 0.824 0.822 0.822 0.977 === Confusion Matrix === a b c d e f g <-- classified as 663 29 48 4 11 43 61 | a = chest 43 698 10 14 10 15 41 | b = forearm 27 13 748 3 13 46 9 | c = head 25 15 16 738 37 15 16 | d = shin 41 23 11 57 684 23 20 | e = thigh 36 27 68 15 19 688 8 | f = upperarm 58 39 20 14 10 12 707 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4877 81.4054 % Incorrectly Classified Instances 1114 18.5946 % Kappa statistic 0.7831 Mean absolute error 0.0943 Root mean squared error 0.1996 Relative absolute error 38.504 % Root relative squared error 57.039 % Total Number of Instances 5991 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.778 0.042 0.756 0.778 0.766 0.966 chest 0.84 0.038 0.782 0.84 0.81 0.978 forearm 0.845 0.033 0.812 0.845 0.828 0.98 head 0.867 0.021 0.874 0.867 0.87 0.986 shin 0.787 0.019 0.873 0.787 0.828 0.971 thigh 0.8 0.035 0.796 0.8 0.798 0.971 upperarm 0.783 0.03 0.816 0.783 0.799 0.976 waist Weighted Avg. 0.814 0.031 0.816 0.814 0.814 0.975 === Confusion Matrix === a b c d e f g <-- classified as 668 37 32 10 13 45 54 | a = chest 40 698 18 13 14 16 32 | b = forearm 27 19 726 2 17 58 10 | c = head 14 24 19 747 26 14 18 | d = shin 35 24 13 51 676 30 30 | e = thigh 33 26 76 12 17 689 8 | f = upperarm 67 65 10 20 11 14 673 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4934 82.3569 % Incorrectly Classified Instances 1057 17.6431 % Kappa statistic 0.7942 Mean absolute error 0.0926 Root mean squared error 0.1962 Relative absolute error 37.8102 % Root relative squared error 56.081 % Total Number of Instances 5991 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.823 0.041 0.772 0.823 0.797 0.974 chest 0.807 0.029 0.816 0.807 0.812 0.975 forearm 0.871 0.036 0.803 0.871 0.836 0.984 head 0.866 0.02 0.879 0.866 0.872 0.982 shin 0.823 0.019 0.878 0.823 0.85 0.979 thigh 0.767 0.034 0.79 0.767 0.778 0.969 upperarm 0.808 0.027 0.834 0.808 0.821 0.98 waist Weighted Avg. 0.824 0.029 0.825 0.824 0.824 0.978 === Confusion Matrix === a b c d e f g <-- classified as 707 26 27 6 10 46 37 | a = chest 36 670 19 19 21 25 40 | b = forearm 28 13 748 2 10 48 10 | c = head 17 19 24 747 28 13 15 | d = shin 33 15 17 38 707 30 19 | e = thigh 40 26 86 14 18 660 17 | f = upperarm 55 52 10 24 11 13 695 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4870 81.3022 % Incorrectly Classified Instances 1120 18.6978 % Kappa statistic 0.7819 Mean absolute error 0.0935 Root mean squared error 0.1987 Relative absolute error 38.1981 % Root relative squared error 56.786 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.794 0.044 0.752 0.794 0.773 0.968 chest 0.847 0.035 0.796 0.847 0.821 0.98 forearm 0.841 0.032 0.815 0.841 0.828 0.979 head 0.853 0.019 0.884 0.853 0.868 0.983 shin 0.764 0.021 0.858 0.764 0.808 0.969 thigh 0.783 0.036 0.784 0.783 0.783 0.971 upperarm 0.812 0.031 0.814 0.812 0.813 0.979 waist Weighted Avg. 0.813 0.031 0.815 0.813 0.813 0.975 === Confusion Matrix === a b c d e f g <-- classified as 681 30 36 6 18 42 45 | a = chest 39 703 23 7 9 14 35 | b = forearm 28 12 722 3 17 60 17 | c = head 19 25 7 736 42 14 20 | d = shin 39 18 17 59 656 44 26 | e = thigh 46 25 70 14 15 674 17 | f = upperarm 53 70 11 8 8 12 698 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4900 81.803 % Incorrectly Classified Instances 1090 18.197 % Kappa statistic 0.7877 Mean absolute error 0.0925 Root mean squared error 0.1966 Relative absolute error 37.7719 % Root relative squared error 56.1703 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.775 0.04 0.764 0.775 0.77 0.97 chest 0.841 0.028 0.829 0.841 0.835 0.978 forearm 0.873 0.034 0.811 0.873 0.841 0.983 head 0.873 0.017 0.897 0.873 0.885 0.986 shin 0.785 0.022 0.855 0.785 0.818 0.972 thigh 0.771 0.036 0.78 0.771 0.776 0.97 upperarm 0.809 0.035 0.795 0.809 0.802 0.977 waist Weighted Avg. 0.818 0.03 0.819 0.818 0.818 0.977 === Confusion Matrix === a b c d e f g <-- classified as 665 28 41 3 20 46 55 | a = chest 29 698 20 9 10 20 44 | b = forearm 28 8 750 3 12 47 11 | c = head 16 12 10 753 29 20 23 | d = shin 39 13 21 45 674 44 23 | e = thigh 36 30 70 9 29 664 23 | f = upperarm 57 53 13 17 14 10 696 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4864 81.202 % Incorrectly Classified Instances 1126 18.798 % Kappa statistic 0.7807 Mean absolute error 0.0937 Root mean squared error 0.199 Relative absolute error 38.2579 % Root relative squared error 56.8798 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.743 0.041 0.751 0.743 0.747 0.963 chest 0.824 0.034 0.796 0.824 0.81 0.978 forearm 0.859 0.036 0.8 0.859 0.829 0.981 head 0.863 0.015 0.907 0.863 0.885 0.985 shin 0.802 0.023 0.854 0.802 0.827 0.974 thigh 0.779 0.037 0.781 0.779 0.78 0.967 upperarm 0.814 0.034 0.801 0.814 0.807 0.98 waist Weighted Avg. 0.812 0.031 0.813 0.812 0.812 0.975 === Confusion Matrix === a b c d e f g <-- classified as 638 50 50 6 16 50 49 | a = chest 38 684 21 11 17 12 47 | b = forearm 23 14 738 3 17 55 9 | c = head 14 18 15 744 32 20 19 | d = shin 39 17 15 39 689 31 29 | e = thigh 32 26 72 12 27 671 21 | f = upperarm 65 50 11 5 9 20 700 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4917 82.0868 % Incorrectly Classified Instances 1073 17.9132 % Kappa statistic 0.791 Mean absolute error 0.0917 Root mean squared error 0.1959 Relative absolute error 37.454 % Root relative squared error 55.9704 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.792 0.041 0.764 0.792 0.778 0.968 chest 0.83 0.027 0.834 0.83 0.832 0.981 forearm 0.86 0.032 0.818 0.86 0.839 0.982 head 0.864 0.02 0.876 0.864 0.87 0.981 shin 0.772 0.019 0.87 0.772 0.818 0.975 thigh 0.813 0.037 0.787 0.813 0.8 0.973 upperarm 0.815 0.033 0.806 0.815 0.81 0.981 waist Weighted Avg. 0.821 0.03 0.822 0.821 0.821 0.977 === Confusion Matrix === a b c d e f g <-- classified as 680 20 46 10 8 49 46 | a = chest 44 689 14 7 14 19 43 | b = forearm 29 7 739 4 11 53 16 | c = head 13 19 12 745 40 16 17 | d = shin 38 20 11 53 663 41 33 | e = thigh 28 19 67 15 18 700 14 | f = upperarm 58 52 14 16 8 11 701 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4903 81.8531 % Incorrectly Classified Instances 1087 18.1469 % Kappa statistic 0.7883 Mean absolute error 0.0916 Root mean squared error 0.1956 Relative absolute error 37.4075 % Root relative squared error 55.8948 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.776 0.041 0.759 0.776 0.768 0.968 chest 0.822 0.029 0.82 0.822 0.821 0.979 forearm 0.844 0.034 0.806 0.844 0.825 0.98 head 0.849 0.016 0.901 0.849 0.875 0.985 shin 0.799 0.021 0.866 0.799 0.831 0.975 thigh 0.807 0.035 0.797 0.807 0.802 0.974 upperarm 0.832 0.037 0.792 0.832 0.812 0.977 waist Weighted Avg. 0.819 0.03 0.82 0.819 0.819 0.977 === Confusion Matrix === a b c d e f g <-- classified as 667 33 29 9 15 43 63 | a = chest 44 683 24 4 13 15 48 | b = forearm 29 16 725 1 14 60 14 | c = head 23 17 18 732 30 21 21 | d = shin 34 25 17 38 686 32 27 | e = thigh 35 17 69 10 20 695 15 | f = upperarm 47 42 17 18 14 6 715 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4892 81.6694 % Incorrectly Classified Instances 1098 18.3306 % Kappa statistic 0.7861 Mean absolute error 0.0926 Root mean squared error 0.197 Relative absolute error 37.8233 % Root relative squared error 56.2851 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.795 0.04 0.768 0.795 0.781 0.97 chest 0.836 0.031 0.811 0.836 0.823 0.98 forearm 0.853 0.038 0.791 0.853 0.821 0.981 head 0.852 0.017 0.893 0.852 0.872 0.983 shin 0.799 0.021 0.865 0.799 0.831 0.975 thigh 0.768 0.033 0.796 0.768 0.782 0.97 upperarm 0.815 0.034 0.802 0.815 0.809 0.977 waist Weighted Avg. 0.817 0.031 0.818 0.817 0.817 0.977 === Confusion Matrix === a b c d e f g <-- classified as 683 25 36 11 15 43 46 | a = chest 32 695 23 7 11 12 51 | b = forearm 25 20 732 4 15 49 13 | c = head 22 20 15 734 32 21 18 | d = shin 27 28 15 38 686 34 31 | e = thigh 43 22 89 17 15 661 14 | f = upperarm 57 47 15 11 19 10 701 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 5 FOLD: 0 Correctly Classified Instances 4867 81.2385 % Incorrectly Classified Instances 1124 18.7615 % Kappa statistic 0.7811 Mean absolute error 0.0933 Root mean squared error 0.1981 Relative absolute error 38.0885 % Root relative squared error 56.5982 % Total Number of Instances 5991 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.765 0.043 0.75 0.765 0.757 0.968 chest 0.833 0.033 0.802 0.833 0.817 0.98 forearm 0.832 0.032 0.815 0.832 0.824 0.98 head 0.872 0.019 0.888 0.872 0.88 0.985 shin 0.786 0.019 0.877 0.786 0.829 0.975 thigh 0.799 0.039 0.776 0.799 0.787 0.97 upperarm 0.8 0.036 0.79 0.8 0.795 0.974 waist Weighted Avg. 0.812 0.031 0.814 0.812 0.813 0.976 === Confusion Matrix === a b c d e f g <-- classified as 657 36 45 6 12 49 54 | a = chest 40 692 14 12 10 20 43 | b = forearm 40 19 715 1 8 56 20 | c = head 14 23 7 752 30 19 17 | d = shin 38 17 9 43 675 43 34 | e = thigh 32 16 76 15 19 688 15 | f = upperarm 55 60 11 18 16 12 688 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4906 81.8895 % Incorrectly Classified Instances 1085 18.1105 % Kappa statistic 0.7887 Mean absolute error 0.0918 Root mean squared error 0.1963 Relative absolute error 37.478 % Root relative squared error 56.1088 % Total Number of Instances 5991 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.791 0.043 0.756 0.791 0.773 0.969 chest 0.818 0.032 0.804 0.818 0.811 0.98 forearm 0.86 0.033 0.812 0.86 0.836 0.982 head 0.87 0.018 0.89 0.87 0.88 0.983 shin 0.774 0.018 0.88 0.774 0.824 0.97 thigh 0.794 0.035 0.792 0.794 0.793 0.971 upperarm 0.823 0.032 0.811 0.823 0.817 0.979 waist Weighted Avg. 0.819 0.03 0.821 0.819 0.819 0.976 === Confusion Matrix === a b c d e f g <-- classified as 679 26 39 4 13 52 45 | a = chest 41 680 17 12 10 13 58 | b = forearm 25 15 739 3 16 51 10 | c = head 17 20 14 751 29 13 19 | d = shin 34 26 20 51 665 40 23 | e = thigh 47 25 72 8 15 684 10 | f = upperarm 55 54 9 15 8 11 708 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4957 82.7408 % Incorrectly Classified Instances 1034 17.2592 % Kappa statistic 0.7986 Mean absolute error 0.0906 Root mean squared error 0.1934 Relative absolute error 36.9761 % Root relative squared error 55.2756 % Total Number of Instances 5991 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.801 0.04 0.768 0.801 0.784 0.971 chest 0.853 0.031 0.817 0.853 0.835 0.982 forearm 0.857 0.032 0.817 0.857 0.836 0.983 head 0.877 0.018 0.891 0.877 0.884 0.987 shin 0.813 0.019 0.876 0.813 0.843 0.979 thigh 0.787 0.031 0.808 0.787 0.798 0.972 upperarm 0.805 0.029 0.822 0.805 0.813 0.978 waist Weighted Avg. 0.827 0.029 0.828 0.827 0.828 0.979 === Confusion Matrix === a b c d e f g <-- classified as 687 26 34 6 12 40 53 | a = chest 36 709 18 7 10 12 39 | b = forearm 30 14 736 4 12 53 10 | c = head 14 24 14 757 28 16 10 | d = shin 41 17 12 43 698 27 21 | e = thigh 30 32 72 11 21 678 17 | f = upperarm 56 46 15 22 16 13 692 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4871 81.3053 % Incorrectly Classified Instances 1120 18.6947 % Kappa statistic 0.7819 Mean absolute error 0.0933 Root mean squared error 0.1987 Relative absolute error 38.1093 % Root relative squared error 56.7793 % Total Number of Instances 5991 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.776 0.046 0.739 0.776 0.758 0.97 chest 0.823 0.033 0.8 0.823 0.811 0.977 forearm 0.866 0.032 0.821 0.866 0.843 0.982 head 0.856 0.02 0.879 0.856 0.867 0.983 shin 0.79 0.021 0.862 0.79 0.825 0.973 thigh 0.786 0.032 0.803 0.786 0.795 0.971 upperarm 0.793 0.034 0.796 0.793 0.794 0.976 waist Weighted Avg. 0.813 0.031 0.814 0.813 0.813 0.976 === Confusion Matrix === a b c d e f g <-- classified as 667 31 35 7 19 50 50 | a = chest 34 684 23 16 13 13 48 | b = forearm 27 16 743 1 9 45 17 | c = head 24 18 15 739 38 16 13 | d = shin 36 20 12 52 679 33 27 | e = thigh 40 26 65 15 18 677 20 | f = upperarm 74 60 12 11 12 9 682 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4870 81.3022 % Incorrectly Classified Instances 1120 18.6978 % Kappa statistic 0.7819 Mean absolute error 0.0934 Root mean squared error 0.1978 Relative absolute error 38.1307 % Root relative squared error 56.5164 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.767 0.041 0.76 0.767 0.764 0.967 chest 0.834 0.028 0.829 0.834 0.831 0.981 forearm 0.854 0.039 0.787 0.854 0.819 0.978 head 0.849 0.022 0.868 0.849 0.859 0.983 shin 0.772 0.02 0.868 0.772 0.817 0.971 thigh 0.795 0.036 0.788 0.795 0.791 0.97 upperarm 0.821 0.034 0.801 0.821 0.811 0.981 waist Weighted Avg. 0.813 0.031 0.815 0.813 0.813 0.976 === Confusion Matrix === a b c d e f g <-- classified as 659 22 64 7 14 38 55 | a = chest 36 693 28 14 10 15 35 | b = forearm 25 17 733 5 7 55 16 | c = head 15 20 15 732 35 20 25 | d = shin 40 21 15 51 663 40 29 | e = thigh 36 23 65 17 21 685 15 | f = upperarm 56 40 11 17 14 16 705 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4877 81.419 % Incorrectly Classified Instances 1113 18.581 % Kappa statistic 0.7832 Mean absolute error 0.093 Root mean squared error 0.1976 Relative absolute error 37.9655 % Root relative squared error 56.4791 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.775 0.04 0.765 0.775 0.77 0.966 chest 0.823 0.034 0.798 0.823 0.81 0.975 forearm 0.865 0.034 0.809 0.865 0.836 0.984 head 0.847 0.018 0.889 0.847 0.867 0.983 shin 0.776 0.021 0.86 0.776 0.816 0.974 thigh 0.792 0.037 0.78 0.792 0.786 0.971 upperarm 0.821 0.033 0.808 0.821 0.814 0.978 waist Weighted Avg. 0.814 0.031 0.816 0.814 0.814 0.976 === Confusion Matrix === a b c d e f g <-- classified as 666 39 32 5 12 55 50 | a = chest 31 683 19 11 16 15 55 | b = forearm 25 11 743 4 11 58 7 | c = head 20 25 17 730 34 20 16 | d = shin 38 19 21 50 667 37 27 | e = thigh 29 25 76 11 25 682 13 | f = upperarm 62 54 10 10 11 7 706 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4870 81.3022 % Incorrectly Classified Instances 1120 18.6978 % Kappa statistic 0.7819 Mean absolute error 0.093 Root mean squared error 0.1975 Relative absolute error 37.979 % Root relative squared error 56.4372 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.776 0.046 0.739 0.776 0.757 0.965 chest 0.827 0.027 0.83 0.827 0.828 0.977 forearm 0.859 0.036 0.798 0.859 0.827 0.982 head 0.869 0.018 0.893 0.869 0.881 0.987 shin 0.773 0.024 0.844 0.773 0.807 0.969 thigh 0.77 0.035 0.786 0.77 0.778 0.972 upperarm 0.817 0.032 0.812 0.817 0.815 0.978 waist Weighted Avg. 0.813 0.031 0.814 0.813 0.813 0.976 === Confusion Matrix === a b c d e f g <-- classified as 667 32 43 7 21 38 51 | a = chest 40 686 21 12 15 21 35 | b = forearm 32 15 738 3 17 47 7 | c = head 18 11 16 749 27 17 24 | d = shin 41 19 18 41 664 47 29 | e = thigh 44 26 73 11 27 663 17 | f = upperarm 61 38 16 16 16 10 703 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4921 82.1536 % Incorrectly Classified Instances 1069 17.8464 % Kappa statistic 0.7918 Mean absolute error 0.093 Root mean squared error 0.1968 Relative absolute error 37.9704 % Root relative squared error 56.2399 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.778 0.033 0.797 0.778 0.787 0.971 chest 0.831 0.035 0.792 0.831 0.811 0.978 forearm 0.852 0.035 0.803 0.852 0.827 0.981 head 0.867 0.017 0.898 0.867 0.882 0.986 shin 0.806 0.019 0.875 0.806 0.839 0.978 thigh 0.79 0.033 0.802 0.79 0.796 0.969 upperarm 0.828 0.036 0.793 0.828 0.81 0.978 waist Weighted Avg. 0.822 0.03 0.823 0.822 0.822 0.977 === Confusion Matrix === a b c d e f g <-- classified as 668 37 37 9 13 37 58 | a = chest 27 690 19 11 17 21 45 | b = forearm 27 17 732 1 16 55 11 | c = head 13 23 21 747 30 12 16 | d = shin 24 19 14 38 692 33 39 | e = thigh 33 32 67 16 16 680 17 | f = upperarm 46 53 22 10 7 10 712 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4902 81.8364 % Incorrectly Classified Instances 1088 18.1636 % Kappa statistic 0.7881 Mean absolute error 0.0926 Root mean squared error 0.1969 Relative absolute error 37.8237 % Root relative squared error 56.2688 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.797 0.042 0.759 0.797 0.778 0.968 chest 0.839 0.028 0.828 0.839 0.833 0.98 forearm 0.86 0.033 0.812 0.86 0.836 0.983 head 0.846 0.02 0.875 0.846 0.86 0.984 shin 0.807 0.021 0.863 0.807 0.834 0.976 thigh 0.779 0.038 0.775 0.779 0.777 0.971 upperarm 0.801 0.028 0.825 0.801 0.813 0.977 waist Weighted Avg. 0.818 0.03 0.82 0.818 0.819 0.977 === Confusion Matrix === a b c d e f g <-- classified as 685 22 41 8 9 48 46 | a = chest 47 696 14 6 10 24 33 | b = forearm 17 13 739 2 14 64 10 | c = head 16 17 12 729 45 22 21 | d = shin 36 17 13 50 693 27 23 | e = thigh 32 25 77 21 22 671 13 | f = upperarm 69 51 14 17 10 10 689 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4869 81.2855 % Incorrectly Classified Instances 1121 18.7145 % Kappa statistic 0.7817 Mean absolute error 0.0929 Root mean squared error 0.1974 Relative absolute error 37.9198 % Root relative squared error 56.4262 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.769 0.046 0.736 0.769 0.752 0.968 chest 0.818 0.03 0.814 0.818 0.816 0.98 forearm 0.849 0.035 0.801 0.849 0.824 0.981 head 0.848 0.019 0.881 0.848 0.864 0.981 shin 0.81 0.019 0.877 0.81 0.842 0.978 thigh 0.777 0.036 0.782 0.777 0.78 0.972 upperarm 0.819 0.032 0.81 0.819 0.814 0.98 waist Weighted Avg. 0.813 0.031 0.814 0.813 0.813 0.977 === Confusion Matrix === a b c d e f g <-- classified as 661 26 37 9 11 54 61 | a = chest 46 679 23 9 11 16 46 | b = forearm 31 11 729 2 16 61 9 | c = head 19 22 21 731 36 18 15 | d = shin 40 22 9 50 696 25 17 | e = thigh 44 18 81 13 19 669 17 | f = upperarm 57 56 10 16 5 12 704 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 6 FOLD: 0 Correctly Classified Instances 4874 81.3554 % Incorrectly Classified Instances 1117 18.6446 % Kappa statistic 0.7825 Mean absolute error 0.093 Root mean squared error 0.198 Relative absolute error 37.9779 % Root relative squared error 56.5725 % Total Number of Instances 5991 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.778 0.045 0.741 0.778 0.759 0.964 chest 0.816 0.031 0.808 0.816 0.812 0.977 forearm 0.838 0.035 0.802 0.838 0.82 0.98 head 0.864 0.019 0.885 0.864 0.875 0.988 shin 0.792 0.02 0.867 0.792 0.828 0.973 thigh 0.797 0.035 0.794 0.797 0.795 0.968 upperarm 0.81 0.032 0.807 0.81 0.809 0.978 waist Weighted Avg. 0.814 0.031 0.815 0.814 0.814 0.975 === Confusion Matrix === a b c d e f g <-- classified as 668 34 43 7 17 35 55 | a = chest 44 678 21 12 10 22 44 | b = forearm 29 16 720 1 13 65 15 | c = head 17 23 12 746 38 10 17 | d = shin 39 23 19 44 680 31 23 | e = thigh 36 21 71 21 14 686 12 | f = upperarm 68 44 12 12 12 15 696 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4880 81.4555 % Incorrectly Classified Instances 1111 18.5445 % Kappa statistic 0.7836 Mean absolute error 0.0915 Root mean squared error 0.1963 Relative absolute error 37.3726 % Root relative squared error 56.0952 % Total Number of Instances 5991 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.797 0.044 0.752 0.797 0.774 0.969 chest 0.827 0.03 0.817 0.827 0.822 0.982 forearm 0.856 0.037 0.795 0.856 0.824 0.98 head 0.847 0.019 0.881 0.847 0.864 0.98 shin 0.785 0.022 0.856 0.785 0.819 0.973 thigh 0.796 0.035 0.794 0.796 0.795 0.971 upperarm 0.795 0.03 0.818 0.795 0.807 0.979 waist Weighted Avg. 0.815 0.031 0.816 0.815 0.815 0.976 === Confusion Matrix === a b c d e f g <-- classified as 684 28 49 5 8 38 46 | a = chest 42 687 17 9 15 23 38 | b = forearm 29 15 735 3 10 54 13 | c = head 15 18 16 731 39 28 16 | d = shin 40 23 17 58 674 24 23 | e = thigh 36 17 74 10 23 685 16 | f = upperarm 64 53 16 14 18 11 684 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4884 81.5223 % Incorrectly Classified Instances 1107 18.4777 % Kappa statistic 0.7844 Mean absolute error 0.092 Root mean squared error 0.196 Relative absolute error 37.5687 % Root relative squared error 56.0106 % Total Number of Instances 5991 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.761 0.041 0.758 0.761 0.76 0.969 chest 0.853 0.034 0.804 0.853 0.828 0.981 forearm 0.856 0.033 0.814 0.856 0.834 0.984 head 0.853 0.017 0.894 0.853 0.873 0.984 shin 0.799 0.022 0.861 0.799 0.829 0.973 thigh 0.792 0.037 0.78 0.792 0.786 0.972 upperarm 0.794 0.033 0.803 0.794 0.798 0.975 waist Weighted Avg. 0.815 0.031 0.816 0.815 0.815 0.977 === Confusion Matrix === a b c d e f g <-- classified as 653 29 37 7 16 60 56 | a = chest 27 709 14 12 13 21 35 | b = forearm 27 16 735 1 13 54 13 | c = head 18 21 16 736 44 12 16 | d = shin 36 20 12 40 686 33 32 | e = thigh 33 25 75 10 20 682 16 | f = upperarm 67 62 14 17 5 12 683 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4831 80.6376 % Incorrectly Classified Instances 1160 19.3624 % Kappa statistic 0.7741 Mean absolute error 0.0937 Root mean squared error 0.1996 Relative absolute error 38.2571 % Root relative squared error 57.0381 % Total Number of Instances 5991 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.782 0.043 0.752 0.782 0.767 0.968 chest 0.814 0.034 0.792 0.814 0.803 0.978 forearm 0.845 0.035 0.8 0.845 0.822 0.98 head 0.845 0.021 0.872 0.845 0.858 0.982 shin 0.781 0.018 0.878 0.781 0.827 0.972 thigh 0.774 0.036 0.783 0.774 0.778 0.967 upperarm 0.803 0.038 0.782 0.803 0.792 0.975 waist Weighted Avg. 0.806 0.032 0.808 0.806 0.807 0.975 === Confusion Matrix === a b c d e f g <-- classified as 672 34 43 10 10 40 50 | a = chest 45 676 19 9 13 15 53 | b = forearm 32 20 726 2 10 53 16 | c = head 15 21 15 728 35 22 26 | d = shin 33 18 18 45 671 41 33 | e = thigh 35 36 74 22 13 667 15 | f = upperarm 62 49 13 19 12 14 691 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4940 82.4708 % Incorrectly Classified Instances 1050 17.5292 % Kappa statistic 0.7955 Mean absolute error 0.0912 Root mean squared error 0.1944 Relative absolute error 37.2377 % Root relative squared error 55.5526 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.799 0.037 0.784 0.799 0.791 0.97 chest 0.842 0.033 0.806 0.842 0.824 0.979 forearm 0.863 0.035 0.805 0.863 0.833 0.982 head 0.856 0.014 0.909 0.856 0.882 0.983 shin 0.807 0.021 0.864 0.807 0.834 0.975 thigh 0.792 0.035 0.792 0.792 0.792 0.973 upperarm 0.815 0.03 0.822 0.815 0.818 0.981 waist Weighted Avg. 0.825 0.029 0.826 0.825 0.825 0.977 === Confusion Matrix === a b c d e f g <-- classified as 686 34 45 3 12 41 38 | a = chest 31 699 20 10 14 20 36 | b = forearm 19 14 741 4 17 54 10 | c = head 12 19 16 738 33 20 24 | d = shin 38 17 11 39 693 32 29 | e = thigh 28 32 76 11 17 682 15 | f = upperarm 61 52 11 7 16 12 701 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4860 81.1352 % Incorrectly Classified Instances 1130 18.8648 % Kappa statistic 0.7799 Mean absolute error 0.0945 Root mean squared error 0.1993 Relative absolute error 38.5693 % Root relative squared error 56.9503 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.778 0.039 0.768 0.778 0.773 0.969 chest 0.836 0.029 0.822 0.836 0.829 0.98 forearm 0.87 0.037 0.796 0.87 0.831 0.983 head 0.849 0.02 0.875 0.849 0.862 0.98 shin 0.772 0.02 0.864 0.772 0.815 0.977 thigh 0.776 0.038 0.774 0.776 0.775 0.97 upperarm 0.8 0.035 0.791 0.8 0.795 0.974 waist Weighted Avg. 0.811 0.031 0.813 0.811 0.811 0.976 === Confusion Matrix === a b c d e f g <-- classified as 668 20 34 9 17 55 56 | a = chest 33 694 24 10 8 9 52 | b = forearm 25 12 747 2 11 53 9 | c = head 22 18 16 732 36 21 17 | d = shin 33 24 16 48 663 41 34 | e = thigh 38 24 84 17 16 668 14 | f = upperarm 51 52 18 19 16 16 688 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4899 81.7863 % Incorrectly Classified Instances 1091 18.2137 % Kappa statistic 0.7875 Mean absolute error 0.0927 Root mean squared error 0.1969 Relative absolute error 37.8695 % Root relative squared error 56.2615 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.785 0.045 0.743 0.785 0.763 0.967 chest 0.836 0.03 0.818 0.836 0.827 0.982 forearm 0.864 0.034 0.807 0.864 0.835 0.982 head 0.857 0.019 0.884 0.857 0.87 0.984 shin 0.793 0.02 0.869 0.793 0.829 0.975 thigh 0.794 0.033 0.803 0.794 0.799 0.972 upperarm 0.797 0.031 0.812 0.797 0.804 0.976 waist Weighted Avg. 0.818 0.03 0.819 0.818 0.818 0.977 === Confusion Matrix === a b c d e f g <-- classified as 674 25 42 6 10 50 52 | a = chest 45 694 20 5 10 11 45 | b = forearm 30 13 742 4 20 44 6 | c = head 22 23 16 739 26 15 21 | d = shin 45 15 14 51 681 33 20 | e = thigh 34 20 73 13 22 684 15 | f = upperarm 57 58 12 18 15 15 685 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4949 82.621 % Incorrectly Classified Instances 1041 17.379 % Kappa statistic 0.7972 Mean absolute error 0.0913 Root mean squared error 0.1945 Relative absolute error 37.2879 % Root relative squared error 55.5799 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.796 0.041 0.765 0.796 0.78 0.973 chest 0.835 0.028 0.827 0.835 0.831 0.979 forearm 0.856 0.031 0.823 0.856 0.839 0.983 head 0.875 0.018 0.89 0.875 0.882 0.985 shin 0.797 0.02 0.87 0.797 0.832 0.975 thigh 0.796 0.035 0.794 0.796 0.795 0.971 upperarm 0.829 0.03 0.821 0.829 0.825 0.98 waist Weighted Avg. 0.826 0.029 0.827 0.826 0.826 0.978 === Confusion Matrix === a b c d e f g <-- classified as 684 29 34 4 16 43 49 | a = chest 35 693 14 13 17 16 42 | b = forearm 28 15 735 1 15 52 13 | c = head 16 14 17 754 26 23 12 | d = shin 38 22 13 45 685 32 24 | e = thigh 40 20 72 15 14 685 15 | f = upperarm 53 45 8 15 14 12 713 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4881 81.4858 % Incorrectly Classified Instances 1109 18.5142 % Kappa statistic 0.784 Mean absolute error 0.0952 Root mean squared error 0.2003 Relative absolute error 38.8611 % Root relative squared error 57.2512 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.759 0.044 0.742 0.759 0.75 0.963 chest 0.804 0.029 0.819 0.804 0.811 0.972 forearm 0.865 0.035 0.804 0.865 0.833 0.981 head 0.87 0.018 0.889 0.87 0.879 0.985 shin 0.783 0.021 0.862 0.783 0.821 0.969 thigh 0.79 0.031 0.81 0.79 0.8 0.974 upperarm 0.833 0.037 0.789 0.833 0.81 0.978 waist Weighted Avg. 0.815 0.031 0.816 0.815 0.815 0.975 === Confusion Matrix === a b c d e f g <-- classified as 652 31 36 5 17 41 77 | a = chest 49 668 25 15 12 17 45 | b = forearm 30 14 742 3 8 48 13 | c = head 14 21 19 750 27 11 20 | d = shin 48 24 12 47 673 31 24 | e = thigh 30 19 81 10 29 680 12 | f = upperarm 56 39 8 14 15 12 716 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4935 82.3873 % Incorrectly Classified Instances 1055 17.6127 % Kappa statistic 0.7945 Mean absolute error 0.0922 Root mean squared error 0.1961 Relative absolute error 37.6587 % Root relative squared error 56.0431 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.799 0.043 0.758 0.799 0.778 0.966 chest 0.852 0.032 0.809 0.852 0.83 0.981 forearm 0.85 0.034 0.808 0.85 0.828 0.982 head 0.861 0.019 0.886 0.861 0.873 0.984 shin 0.801 0.022 0.859 0.801 0.829 0.974 thigh 0.77 0.03 0.812 0.77 0.79 0.972 upperarm 0.836 0.026 0.843 0.836 0.839 0.984 waist Weighted Avg. 0.824 0.029 0.825 0.824 0.824 0.977 === Confusion Matrix === a b c d e f g <-- classified as 686 41 43 7 11 38 33 | a = chest 33 708 17 9 15 16 33 | b = forearm 35 13 729 2 14 54 11 | c = head 18 20 19 742 34 10 19 | d = shin 30 16 13 56 688 30 26 | e = thigh 48 21 72 11 34 663 12 | f = upperarm 55 56 9 10 5 6 719 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 7 FOLD: 0 Correctly Classified Instances 4858 81.0883 % Incorrectly Classified Instances 1133 18.9117 % Kappa statistic 0.7794 Mean absolute error 0.0932 Root mean squared error 0.1983 Relative absolute error 38.0573 % Root relative squared error 56.672 % Total Number of Instances 5991 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.779 0.045 0.744 0.779 0.761 0.967 chest 0.811 0.032 0.802 0.811 0.806 0.976 forearm 0.858 0.04 0.783 0.858 0.819 0.98 head 0.845 0.017 0.891 0.845 0.867 0.982 shin 0.801 0.02 0.87 0.801 0.834 0.975 thigh 0.787 0.034 0.796 0.787 0.792 0.974 upperarm 0.795 0.033 0.804 0.795 0.8 0.977 waist Weighted Avg. 0.811 0.032 0.813 0.811 0.811 0.976 === Confusion Matrix === a b c d e f g <-- classified as 669 31 43 4 13 44 55 | a = chest 45 673 23 11 9 23 46 | b = forearm 26 20 737 1 14 51 10 | c = head 19 26 10 729 44 18 17 | d = shin 35 13 19 48 688 27 29 | e = thigh 31 26 93 8 15 678 10 | f = upperarm 74 50 16 17 8 11 684 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4841 80.8045 % Incorrectly Classified Instances 1150 19.1955 % Kappa statistic 0.7761 Mean absolute error 0.0935 Root mean squared error 0.1985 Relative absolute error 38.2001 % Root relative squared error 56.724 % Total Number of Instances 5991 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.794 0.043 0.757 0.794 0.775 0.967 chest 0.832 0.032 0.806 0.832 0.819 0.98 forearm 0.851 0.039 0.786 0.851 0.817 0.981 head 0.848 0.018 0.891 0.848 0.869 0.984 shin 0.775 0.02 0.864 0.775 0.817 0.973 thigh 0.764 0.036 0.781 0.764 0.772 0.966 upperarm 0.793 0.036 0.785 0.793 0.789 0.976 waist Weighted Avg. 0.808 0.032 0.81 0.808 0.808 0.975 === Confusion Matrix === a b c d e f g <-- classified as 682 28 36 10 15 42 46 | a = chest 42 691 17 6 12 16 47 | b = forearm 28 11 731 3 8 60 18 | c = head 19 21 22 732 35 14 20 | d = shin 33 19 24 47 666 38 32 | e = thigh 35 29 84 9 23 658 23 | f = upperarm 62 58 16 15 12 15 681 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4910 81.9563 % Incorrectly Classified Instances 1081 18.0437 % Kappa statistic 0.7895 Mean absolute error 0.0913 Root mean squared error 0.195 Relative absolute error 37.2616 % Root relative squared error 55.7357 % Total Number of Instances 5991 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.806 0.043 0.758 0.806 0.781 0.973 chest 0.838 0.032 0.81 0.838 0.824 0.981 forearm 0.874 0.033 0.814 0.874 0.843 0.985 head 0.862 0.022 0.866 0.862 0.864 0.983 shin 0.769 0.017 0.883 0.769 0.822 0.974 thigh 0.784 0.032 0.805 0.784 0.794 0.97 upperarm 0.805 0.031 0.813 0.805 0.809 0.979 waist Weighted Avg. 0.82 0.03 0.821 0.82 0.82 0.978 === Confusion Matrix === a b c d e f g <-- classified as 692 28 38 7 8 36 50 | a = chest 37 696 13 15 10 13 47 | b = forearm 16 16 750 1 14 50 11 | c = head 23 19 14 744 36 17 10 | d = shin 48 22 19 52 661 31 26 | e = thigh 37 26 76 19 13 675 15 | f = upperarm 60 52 11 21 7 17 692 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4933 82.3402 % Incorrectly Classified Instances 1058 17.6598 % Kappa statistic 0.794 Mean absolute error 0.0927 Root mean squared error 0.197 Relative absolute error 37.8439 % Root relative squared error 56.3012 % Total Number of Instances 5991 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.796 0.043 0.756 0.796 0.776 0.966 chest 0.838 0.028 0.828 0.838 0.833 0.981 forearm 0.858 0.032 0.816 0.858 0.836 0.979 head 0.884 0.021 0.878 0.884 0.881 0.986 shin 0.795 0.019 0.875 0.795 0.833 0.972 thigh 0.795 0.032 0.807 0.795 0.801 0.972 upperarm 0.799 0.031 0.813 0.799 0.806 0.976 waist Weighted Avg. 0.823 0.029 0.825 0.823 0.824 0.976 === Confusion Matrix === a b c d e f g <-- classified as 684 29 25 8 14 47 52 | a = chest 31 696 25 7 15 15 42 | b = forearm 30 11 736 3 18 45 15 | c = head 19 19 12 762 25 15 10 | d = shin 33 12 15 54 683 32 30 | e = thigh 39 23 73 18 15 685 9 | f = upperarm 69 51 16 16 11 10 687 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4911 81.9866 % Incorrectly Classified Instances 1079 18.0134 % Kappa statistic 0.7898 Mean absolute error 0.0914 Root mean squared error 0.1951 Relative absolute error 37.3023 % Root relative squared error 55.7486 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.772 0.044 0.745 0.772 0.758 0.965 chest 0.822 0.032 0.805 0.822 0.814 0.978 forearm 0.864 0.033 0.815 0.864 0.839 0.983 head 0.858 0.021 0.875 0.858 0.867 0.986 shin 0.804 0.019 0.878 0.804 0.84 0.976 thigh 0.793 0.035 0.793 0.793 0.793 0.974 upperarm 0.826 0.027 0.835 0.826 0.83 0.981 waist Weighted Avg. 0.82 0.03 0.821 0.82 0.82 0.978 === Confusion Matrix === a b c d e f g <-- classified as 662 34 44 7 13 49 49 | a = chest 52 683 15 19 13 17 32 | b = forearm 25 14 742 1 15 55 7 | c = head 18 18 17 740 34 18 17 | d = shin 39 18 14 44 691 31 22 | e = thigh 41 25 68 18 13 683 13 | f = upperarm 51 56 10 17 8 8 710 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4884 81.5359 % Incorrectly Classified Instances 1106 18.4641 % Kappa statistic 0.7846 Mean absolute error 0.0941 Root mean squared error 0.1992 Relative absolute error 38.4185 % Root relative squared error 56.9278 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.779 0.043 0.751 0.779 0.764 0.967 chest 0.842 0.03 0.819 0.842 0.83 0.983 forearm 0.872 0.037 0.796 0.872 0.832 0.982 head 0.838 0.018 0.885 0.838 0.861 0.98 shin 0.78 0.019 0.874 0.78 0.824 0.97 thigh 0.797 0.032 0.806 0.797 0.801 0.972 upperarm 0.801 0.035 0.792 0.801 0.797 0.974 waist Weighted Avg. 0.815 0.031 0.817 0.815 0.816 0.975 === Confusion Matrix === a b c d e f g <-- classified as 668 29 45 9 10 38 59 | a = chest 34 700 22 9 10 14 42 | b = forearm 37 7 749 3 9 44 10 | c = head 19 22 26 722 33 13 27 | d = shin 37 21 17 47 670 37 30 | e = thigh 37 24 69 12 20 686 13 | f = upperarm 58 52 13 14 15 19 689 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4904 81.8698 % Incorrectly Classified Instances 1086 18.1302 % Kappa statistic 0.7885 Mean absolute error 0.0923 Root mean squared error 0.1964 Relative absolute error 37.6952 % Root relative squared error 56.1193 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.785 0.042 0.76 0.785 0.772 0.97 chest 0.828 0.033 0.803 0.828 0.815 0.98 forearm 0.849 0.03 0.826 0.849 0.837 0.98 head 0.867 0.016 0.899 0.867 0.882 0.985 shin 0.786 0.022 0.856 0.786 0.819 0.975 thigh 0.797 0.035 0.79 0.797 0.794 0.973 upperarm 0.821 0.033 0.806 0.821 0.813 0.978 waist Weighted Avg. 0.819 0.03 0.82 0.819 0.819 0.977 === Confusion Matrix === a b c d e f g <-- classified as 674 38 34 5 15 53 40 | a = chest 31 687 18 12 12 20 50 | b = forearm 29 21 729 1 13 55 11 | c = head 11 16 15 747 34 16 23 | d = shin 47 28 10 48 675 24 27 | e = thigh 32 24 65 10 25 686 19 | f = upperarm 63 42 12 8 15 14 706 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4891 81.6528 % Incorrectly Classified Instances 1099 18.3472 % Kappa statistic 0.786 Mean absolute error 0.0921 Root mean squared error 0.1972 Relative absolute error 37.6013 % Root relative squared error 56.3445 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.78 0.04 0.764 0.78 0.772 0.97 chest 0.828 0.034 0.797 0.828 0.812 0.978 forearm 0.856 0.03 0.829 0.856 0.842 0.984 head 0.848 0.018 0.888 0.848 0.868 0.981 shin 0.786 0.021 0.861 0.786 0.822 0.972 thigh 0.804 0.039 0.775 0.804 0.789 0.972 upperarm 0.815 0.032 0.811 0.815 0.813 0.98 waist Weighted Avg. 0.817 0.031 0.818 0.817 0.817 0.977 === Confusion Matrix === a b c d e f g <-- classified as 670 35 32 8 13 50 51 | a = chest 45 687 14 11 17 17 39 | b = forearm 24 17 735 2 11 60 10 | c = head 17 23 11 731 35 23 22 | d = shin 44 21 11 46 675 37 25 | e = thigh 31 21 69 13 19 692 16 | f = upperarm 46 58 15 12 14 14 701 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4915 82.0534 % Incorrectly Classified Instances 1075 17.9466 % Kappa statistic 0.7906 Mean absolute error 0.0931 Root mean squared error 0.1967 Relative absolute error 38.0164 % Root relative squared error 56.2201 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.8 0.039 0.773 0.8 0.786 0.968 chest 0.827 0.028 0.824 0.827 0.825 0.981 forearm 0.863 0.037 0.794 0.863 0.827 0.983 head 0.863 0.017 0.896 0.863 0.879 0.986 shin 0.788 0.02 0.868 0.788 0.826 0.973 thigh 0.78 0.034 0.794 0.78 0.787 0.972 upperarm 0.823 0.033 0.805 0.823 0.814 0.979 waist Weighted Avg. 0.821 0.03 0.822 0.821 0.821 0.977 === Confusion Matrix === a b c d e f g <-- classified as 687 24 43 6 11 39 49 | a = chest 42 686 19 9 15 15 44 | b = forearm 23 13 741 4 14 53 11 | c = head 13 22 22 744 31 14 16 | d = shin 36 24 10 39 677 42 31 | e = thigh 31 16 89 17 16 672 20 | f = upperarm 57 48 9 11 16 11 708 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4870 81.3022 % Incorrectly Classified Instances 1120 18.6978 % Kappa statistic 0.7819 Mean absolute error 0.0943 Root mean squared error 0.1989 Relative absolute error 38.4967 % Root relative squared error 56.8288 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.773 0.043 0.749 0.773 0.761 0.968 chest 0.843 0.031 0.815 0.843 0.829 0.98 forearm 0.845 0.034 0.807 0.845 0.825 0.98 head 0.862 0.019 0.883 0.862 0.873 0.985 shin 0.786 0.022 0.858 0.786 0.82 0.974 thigh 0.767 0.034 0.792 0.767 0.779 0.967 upperarm 0.816 0.035 0.794 0.816 0.805 0.976 waist Weighted Avg. 0.813 0.031 0.814 0.813 0.813 0.976 === Confusion Matrix === a b c d e f g <-- classified as 664 34 37 6 18 46 54 | a = chest 35 700 19 11 10 10 45 | b = forearm 32 15 726 2 15 54 15 | c = head 21 12 19 743 33 17 17 | d = shin 31 21 13 52 675 34 33 | e = thigh 36 30 74 13 30 660 18 | f = upperarm 67 47 12 14 6 12 702 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 8 FOLD: 0 Correctly Classified Instances 4936 82.3903 % Incorrectly Classified Instances 1055 17.6097 % Kappa statistic 0.7946 Mean absolute error 0.0922 Root mean squared error 0.1954 Relative absolute error 37.6626 % Root relative squared error 55.8327 % Total Number of Instances 5991 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.809 0.042 0.765 0.809 0.786 0.972 chest 0.838 0.034 0.801 0.838 0.819 0.979 forearm 0.858 0.031 0.821 0.858 0.839 0.982 head 0.869 0.019 0.884 0.869 0.877 0.988 shin 0.793 0.019 0.874 0.793 0.832 0.972 thigh 0.8 0.033 0.804 0.8 0.802 0.973 upperarm 0.801 0.028 0.828 0.801 0.814 0.978 waist Weighted Avg. 0.824 0.029 0.825 0.824 0.824 0.978 === Confusion Matrix === a b c d e f g <-- classified as 695 25 32 3 16 43 45 | a = chest 36 696 20 11 16 17 35 | b = forearm 23 17 737 6 11 55 10 | c = head 15 24 16 749 32 17 9 | d = shin 35 24 14 45 681 30 30 | e = thigh 40 25 64 16 13 689 14 | f = upperarm 65 58 15 17 10 6 689 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4912 81.9897 % Incorrectly Classified Instances 1079 18.0103 % Kappa statistic 0.7899 Mean absolute error 0.0922 Root mean squared error 0.1962 Relative absolute error 37.645 % Root relative squared error 56.0677 % Total Number of Instances 5991 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.78 0.042 0.759 0.78 0.769 0.968 chest 0.857 0.034 0.802 0.857 0.828 0.982 forearm 0.86 0.035 0.802 0.86 0.83 0.981 head 0.853 0.018 0.887 0.853 0.869 0.984 shin 0.795 0.018 0.882 0.795 0.836 0.976 thigh 0.786 0.032 0.807 0.786 0.796 0.972 upperarm 0.809 0.031 0.812 0.809 0.811 0.978 waist Weighted Avg. 0.82 0.03 0.822 0.82 0.82 0.977 === Confusion Matrix === a b c d e f g <-- classified as 670 36 50 2 10 46 45 | a = chest 37 712 18 10 8 9 37 | b = forearm 23 14 739 6 14 49 14 | c = head 17 27 16 735 30 20 17 | d = shin 42 21 10 51 683 24 28 | e = thigh 30 26 79 10 19 677 20 | f = upperarm 64 52 9 15 10 14 696 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4898 81.756 % Incorrectly Classified Instances 1093 18.244 % Kappa statistic 0.7872 Mean absolute error 0.0911 Root mean squared error 0.1957 Relative absolute error 37.203 % Root relative squared error 55.917 % Total Number of Instances 5991 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.794 0.043 0.754 0.794 0.773 0.969 chest 0.832 0.031 0.812 0.832 0.822 0.981 forearm 0.868 0.032 0.818 0.868 0.842 0.983 head 0.874 0.02 0.88 0.874 0.877 0.989 shin 0.768 0.018 0.879 0.768 0.82 0.974 thigh 0.784 0.035 0.792 0.784 0.788 0.97 upperarm 0.803 0.034 0.8 0.803 0.802 0.978 waist Weighted Avg. 0.818 0.03 0.819 0.818 0.818 0.978 === Confusion Matrix === a b c d e f g <-- classified as 682 22 32 15 12 51 45 | a = chest 38 691 17 8 14 14 49 | b = forearm 25 15 746 1 8 52 12 | c = head 17 18 14 753 27 11 22 | d = shin 42 27 14 47 660 40 29 | e = thigh 36 26 74 13 21 675 16 | f = upperarm 65 52 15 19 9 9 691 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4897 81.7393 % Incorrectly Classified Instances 1094 18.2607 % Kappa statistic 0.787 Mean absolute error 0.0932 Root mean squared error 0.1974 Relative absolute error 38.0423 % Root relative squared error 56.4236 % Total Number of Instances 5991 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.799 0.043 0.758 0.799 0.778 0.969 chest 0.807 0.031 0.808 0.807 0.808 0.977 forearm 0.846 0.033 0.811 0.846 0.828 0.98 head 0.836 0.017 0.893 0.836 0.864 0.983 shin 0.815 0.025 0.846 0.815 0.83 0.975 thigh 0.81 0.036 0.791 0.81 0.8 0.971 upperarm 0.808 0.029 0.822 0.808 0.815 0.978 waist Weighted Avg. 0.817 0.03 0.819 0.817 0.818 0.976 === Confusion Matrix === a b c d e f g <-- classified as 686 27 31 5 15 46 49 | a = chest 51 671 18 15 17 19 40 | b = forearm 26 17 727 2 18 57 12 | c = head 21 23 19 721 42 21 15 | d = shin 27 19 14 40 700 33 26 | e = thigh 35 27 69 7 18 697 8 | f = upperarm 59 46 18 17 17 8 695 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4922 82.1703 % Incorrectly Classified Instances 1068 17.8297 % Kappa statistic 0.792 Mean absolute error 0.0929 Root mean squared error 0.1968 Relative absolute error 37.9324 % Root relative squared error 56.234 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.757 0.038 0.77 0.757 0.763 0.967 chest 0.818 0.031 0.81 0.818 0.814 0.976 forearm 0.867 0.039 0.79 0.867 0.827 0.98 head 0.865 0.014 0.914 0.865 0.889 0.986 shin 0.832 0.024 0.851 0.832 0.842 0.978 thigh 0.801 0.031 0.815 0.801 0.808 0.972 upperarm 0.81 0.032 0.809 0.81 0.81 0.979 waist Weighted Avg. 0.822 0.03 0.823 0.822 0.822 0.977 === Confusion Matrix === a b c d e f g <-- classified as 650 34 44 7 24 42 58 | a = chest 38 679 22 8 16 21 46 | b = forearm 26 16 745 4 13 44 11 | c = head 14 15 15 746 40 15 17 | d = shin 24 21 23 28 715 26 22 | e = thigh 23 21 79 14 23 690 11 | f = upperarm 69 52 15 9 9 9 697 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4939 82.4541 % Incorrectly Classified Instances 1051 17.5459 % Kappa statistic 0.7953 Mean absolute error 0.0917 Root mean squared error 0.1954 Relative absolute error 37.4352 % Root relative squared error 55.8425 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.768 0.041 0.76 0.768 0.764 0.965 chest 0.83 0.029 0.819 0.83 0.825 0.98 forearm 0.879 0.032 0.823 0.879 0.85 0.984 head 0.858 0.019 0.882 0.858 0.87 0.984 shin 0.794 0.018 0.883 0.794 0.836 0.975 thigh 0.812 0.033 0.807 0.812 0.81 0.972 upperarm 0.83 0.034 0.805 0.83 0.817 0.981 waist Weighted Avg. 0.825 0.029 0.826 0.825 0.825 0.977 === Confusion Matrix === a b c d e f g <-- classified as 659 30 51 8 12 48 50 | a = chest 38 689 13 18 12 13 47 | b = forearm 28 9 755 0 9 46 12 | c = head 11 20 17 740 35 20 19 | d = shin 38 20 14 42 682 32 31 | e = thigh 37 23 56 16 16 700 14 | f = upperarm 56 50 11 15 6 8 714 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4911 81.9866 % Incorrectly Classified Instances 1079 18.0134 % Kappa statistic 0.7898 Mean absolute error 0.0932 Root mean squared error 0.198 Relative absolute error 38.0625 % Root relative squared error 56.5718 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.774 0.044 0.746 0.774 0.76 0.968 chest 0.837 0.03 0.82 0.837 0.828 0.977 forearm 0.858 0.034 0.807 0.858 0.832 0.983 head 0.861 0.018 0.889 0.861 0.875 0.985 shin 0.794 0.018 0.882 0.794 0.836 0.973 thigh 0.789 0.035 0.791 0.789 0.79 0.969 upperarm 0.827 0.031 0.815 0.827 0.821 0.98 waist Weighted Avg. 0.82 0.03 0.822 0.82 0.82 0.976 === Confusion Matrix === a b c d e f g <-- classified as 664 36 42 4 10 48 54 | a = chest 41 695 17 13 7 19 38 | b = forearm 22 15 737 2 10 59 14 | c = head 15 21 21 743 30 11 22 | d = shin 42 20 14 53 682 32 16 | e = thigh 38 23 72 10 22 679 17 | f = upperarm 68 38 10 11 12 10 711 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4912 82.0033 % Incorrectly Classified Instances 1078 17.9967 % Kappa statistic 0.79 Mean absolute error 0.0925 Root mean squared error 0.1967 Relative absolute error 37.7688 % Root relative squared error 56.1998 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.796 0.042 0.763 0.796 0.779 0.971 chest 0.847 0.035 0.795 0.847 0.82 0.98 forearm 0.866 0.032 0.82 0.866 0.842 0.983 head 0.868 0.02 0.88 0.868 0.874 0.984 shin 0.804 0.018 0.88 0.804 0.841 0.976 thigh 0.767 0.034 0.792 0.767 0.779 0.97 upperarm 0.793 0.03 0.818 0.793 0.805 0.976 waist Weighted Avg. 0.82 0.03 0.821 0.82 0.82 0.977 === Confusion Matrix === a b c d e f g <-- classified as 684 38 31 6 15 39 46 | a = chest 34 703 18 12 9 16 38 | b = forearm 17 11 743 3 13 58 13 | c = head 20 20 8 749 26 21 19 | d = shin 33 22 10 54 691 29 20 | e = thigh 42 30 80 13 20 660 16 | f = upperarm 67 60 16 14 11 10 682 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4874 81.3689 % Incorrectly Classified Instances 1116 18.6311 % Kappa statistic 0.7826 Mean absolute error 0.0929 Root mean squared error 0.1975 Relative absolute error 37.9275 % Root relative squared error 56.4543 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.779 0.042 0.758 0.779 0.768 0.967 chest 0.83 0.029 0.821 0.83 0.826 0.979 forearm 0.853 0.037 0.795 0.853 0.823 0.982 head 0.87 0.027 0.847 0.87 0.858 0.982 shin 0.764 0.02 0.863 0.764 0.81 0.971 thigh 0.776 0.03 0.812 0.776 0.793 0.97 upperarm 0.824 0.033 0.808 0.824 0.816 0.978 waist Weighted Avg. 0.814 0.031 0.815 0.814 0.814 0.976 === Confusion Matrix === a b c d e f g <-- classified as 669 40 31 12 19 38 50 | a = chest 35 689 17 11 15 16 47 | b = forearm 42 16 732 4 10 44 10 | c = head 17 15 18 751 30 13 19 | d = shin 42 18 16 64 656 36 27 | e = thigh 31 17 91 20 19 668 15 | f = upperarm 47 44 16 25 11 8 709 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4803 80.1836 % Incorrectly Classified Instances 1187 19.8164 % Kappa statistic 0.7688 Mean absolute error 0.0951 Root mean squared error 0.2013 Relative absolute error 38.8496 % Root relative squared error 57.539 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.767 0.043 0.749 0.767 0.758 0.966 chest 0.824 0.033 0.802 0.824 0.813 0.979 forearm 0.851 0.037 0.795 0.851 0.822 0.976 head 0.846 0.021 0.869 0.846 0.857 0.981 shin 0.76 0.024 0.843 0.76 0.799 0.969 thigh 0.767 0.035 0.786 0.767 0.776 0.969 upperarm 0.799 0.038 0.777 0.799 0.788 0.975 waist Weighted Avg. 0.802 0.033 0.803 0.802 0.802 0.974 === Confusion Matrix === a b c d e f g <-- classified as 659 27 40 7 17 42 67 | a = chest 45 685 15 10 9 16 51 | b = forearm 23 18 731 5 18 53 11 | c = head 25 19 16 729 36 21 16 | d = shin 41 21 19 52 653 37 36 | e = thigh 31 20 87 21 26 660 16 | f = upperarm 56 64 11 15 16 11 686 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 9 FOLD: 0 Correctly Classified Instances 4856 81.0549 % Incorrectly Classified Instances 1135 18.9451 % Kappa statistic 0.779 Mean absolute error 0.095 Root mean squared error 0.2007 Relative absolute error 38.7868 % Root relative squared error 57.3595 % Total Number of Instances 5991 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.789 0.045 0.747 0.789 0.767 0.967 chest 0.847 0.034 0.802 0.847 0.824 0.979 forearm 0.856 0.03 0.825 0.856 0.84 0.982 head 0.843 0.018 0.886 0.843 0.864 0.981 shin 0.767 0.021 0.858 0.767 0.81 0.97 thigh 0.785 0.039 0.772 0.785 0.778 0.969 upperarm 0.787 0.034 0.797 0.787 0.792 0.974 waist Weighted Avg. 0.811 0.032 0.812 0.811 0.811 0.975 === Confusion Matrix === a b c d e f g <-- classified as 678 28 31 8 15 44 55 | a = chest 41 704 10 5 12 22 37 | b = forearm 22 19 735 3 12 53 15 | c = head 25 28 11 727 35 16 20 | d = shin 44 17 18 50 659 43 28 | e = thigh 38 24 73 13 20 676 17 | f = upperarm 60 58 13 15 15 22 677 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4888 81.5891 % Incorrectly Classified Instances 1103 18.4109 % Kappa statistic 0.7852 Mean absolute error 0.0925 Root mean squared error 0.1967 Relative absolute error 37.7726 % Root relative squared error 56.2078 % Total Number of Instances 5991 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.779 0.043 0.753 0.779 0.766 0.969 chest 0.816 0.028 0.826 0.816 0.821 0.979 forearm 0.851 0.033 0.81 0.851 0.83 0.983 head 0.865 0.022 0.869 0.865 0.867 0.984 shin 0.793 0.019 0.872 0.793 0.83 0.976 thigh 0.791 0.035 0.791 0.791 0.791 0.973 upperarm 0.816 0.035 0.798 0.816 0.807 0.977 waist Weighted Avg. 0.816 0.031 0.817 0.816 0.816 0.977 === Confusion Matrix === a b c d e f g <-- classified as 669 28 36 8 12 50 56 | a = chest 38 678 18 16 17 9 55 | b = forearm 29 12 731 4 13 57 13 | c = head 19 15 12 746 29 23 18 | d = shin 34 17 19 57 681 28 23 | e = thigh 37 26 70 13 21 681 13 | f = upperarm 62 45 16 14 8 13 702 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4894 81.6892 % Incorrectly Classified Instances 1097 18.3108 % Kappa statistic 0.7864 Mean absolute error 0.092 Root mean squared error 0.1968 Relative absolute error 37.5878 % Root relative squared error 56.2286 % Total Number of Instances 5991 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.752 0.039 0.764 0.752 0.758 0.967 chest 0.822 0.031 0.809 0.822 0.816 0.977 forearm 0.867 0.035 0.804 0.867 0.834 0.98 head 0.869 0.018 0.891 0.869 0.88 0.984 shin 0.816 0.022 0.863 0.816 0.839 0.979 thigh 0.78 0.035 0.787 0.78 0.784 0.966 upperarm 0.812 0.033 0.804 0.812 0.808 0.977 waist Weighted Avg. 0.817 0.031 0.818 0.817 0.817 0.976 === Confusion Matrix === a b c d e f g <-- classified as 646 35 41 9 17 56 55 | a = chest 38 683 28 13 9 15 45 | b = forearm 24 14 745 3 13 54 6 | c = head 13 26 18 749 28 13 15 | d = shin 40 16 14 40 701 30 18 | e = thigh 32 20 68 11 27 672 31 | f = upperarm 52 50 13 16 17 14 698 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4924 82.19 % Incorrectly Classified Instances 1067 17.81 % Kappa statistic 0.7922 Mean absolute error 0.0917 Root mean squared error 0.1954 Relative absolute error 37.4639 % Root relative squared error 55.8542 % Total Number of Instances 5991 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.766 0.04 0.762 0.766 0.764 0.964 chest 0.829 0.031 0.813 0.829 0.821 0.978 forearm 0.87 0.036 0.802 0.87 0.835 0.983 head 0.884 0.019 0.885 0.884 0.885 0.987 shin 0.814 0.022 0.861 0.814 0.837 0.976 thigh 0.776 0.031 0.807 0.776 0.791 0.973 upperarm 0.815 0.029 0.826 0.815 0.82 0.982 waist Weighted Avg. 0.822 0.03 0.822 0.822 0.822 0.977 === Confusion Matrix === a b c d e f g <-- classified as 658 34 44 7 15 51 50 | a = chest 33 689 23 14 17 17 38 | b = forearm 28 14 747 1 7 53 9 | c = head 12 14 13 762 38 10 13 | d = shin 34 25 11 41 699 21 28 | e = thigh 38 21 84 16 24 668 10 | f = upperarm 60 50 9 20 12 8 701 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4908 81.9366 % Incorrectly Classified Instances 1082 18.0634 % Kappa statistic 0.7893 Mean absolute error 0.0917 Root mean squared error 0.1953 Relative absolute error 37.4565 % Root relative squared error 55.8134 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.806 0.042 0.765 0.806 0.785 0.969 chest 0.857 0.035 0.797 0.857 0.826 0.981 forearm 0.859 0.035 0.804 0.859 0.831 0.982 head 0.835 0.021 0.872 0.835 0.853 0.982 shin 0.793 0.018 0.882 0.793 0.835 0.977 thigh 0.787 0.031 0.81 0.787 0.799 0.974 upperarm 0.8 0.03 0.819 0.8 0.809 0.979 waist Weighted Avg. 0.819 0.03 0.821 0.819 0.82 0.978 === Confusion Matrix === a b c d e f g <-- classified as 692 34 37 5 16 29 46 | a = chest 34 712 20 8 10 15 32 | b = forearm 22 22 738 2 11 55 9 | c = head 24 27 23 720 30 15 23 | d = shin 31 18 12 55 681 34 28 | e = thigh 36 31 74 17 11 678 14 | f = upperarm 66 49 14 19 13 11 687 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4869 81.2855 % Incorrectly Classified Instances 1121 18.7145 % Kappa statistic 0.7817 Mean absolute error 0.0935 Root mean squared error 0.199 Relative absolute error 38.1846 % Root relative squared error 56.8594 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.774 0.047 0.736 0.774 0.754 0.963 chest 0.831 0.031 0.811 0.831 0.821 0.979 forearm 0.841 0.032 0.815 0.841 0.828 0.98 head 0.867 0.017 0.894 0.867 0.88 0.985 shin 0.789 0.021 0.863 0.789 0.824 0.972 thigh 0.79 0.038 0.778 0.79 0.784 0.968 upperarm 0.799 0.032 0.805 0.799 0.802 0.978 waist Weighted Avg. 0.813 0.031 0.814 0.813 0.813 0.975 === Confusion Matrix === a b c d e f g <-- classified as 665 31 38 9 15 48 53 | a = chest 42 690 15 12 14 12 45 | b = forearm 26 12 722 5 14 70 10 | c = head 18 14 18 747 30 19 16 | d = shin 43 22 17 36 678 35 28 | e = thigh 41 28 65 14 19 680 14 | f = upperarm 69 54 11 13 16 10 687 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4967 82.9215 % Incorrectly Classified Instances 1023 17.0785 % Kappa statistic 0.8007 Mean absolute error 0.091 Root mean squared error 0.1939 Relative absolute error 37.1411 % Root relative squared error 55.4105 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.793 0.034 0.793 0.793 0.793 0.974 chest 0.842 0.024 0.849 0.842 0.846 0.98 forearm 0.877 0.034 0.813 0.877 0.844 0.984 head 0.855 0.022 0.869 0.855 0.862 0.983 shin 0.811 0.021 0.867 0.811 0.838 0.979 thigh 0.797 0.033 0.802 0.797 0.8 0.974 upperarm 0.83 0.032 0.815 0.83 0.823 0.981 waist Weighted Avg. 0.829 0.028 0.83 0.829 0.829 0.979 === Confusion Matrix === a b c d e f g <-- classified as 680 29 36 3 12 50 48 | a = chest 33 699 16 14 8 16 44 | b = forearm 21 11 753 3 18 45 8 | c = head 14 16 17 738 34 21 23 | d = shin 30 15 11 57 697 22 27 | e = thigh 27 17 80 14 25 686 12 | f = upperarm 52 36 13 20 10 15 714 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4868 81.2688 % Incorrectly Classified Instances 1122 18.7312 % Kappa statistic 0.7815 Mean absolute error 0.0931 Root mean squared error 0.1982 Relative absolute error 38.0333 % Root relative squared error 56.6392 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.768 0.042 0.753 0.768 0.761 0.967 chest 0.855 0.037 0.79 0.855 0.821 0.981 forearm 0.868 0.04 0.786 0.868 0.825 0.982 head 0.845 0.017 0.893 0.845 0.868 0.982 shin 0.776 0.019 0.872 0.776 0.821 0.97 thigh 0.784 0.032 0.806 0.784 0.795 0.973 upperarm 0.793 0.033 0.803 0.793 0.798 0.974 waist Weighted Avg. 0.813 0.031 0.815 0.813 0.813 0.976 === Confusion Matrix === a b c d e f g <-- classified as 659 40 46 7 14 33 59 | a = chest 34 710 16 9 10 18 33 | b = forearm 25 12 746 2 15 44 15 | c = head 18 27 23 729 32 11 23 | d = shin 33 33 15 40 667 49 22 | e = thigh 30 24 89 12 16 675 15 | f = upperarm 76 53 14 17 11 7 682 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4912 82.0033 % Incorrectly Classified Instances 1078 17.9967 % Kappa statistic 0.79 Mean absolute error 0.0927 Root mean squared error 0.1962 Relative absolute error 37.837 % Root relative squared error 56.0582 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.808 0.046 0.745 0.808 0.775 0.972 chest 0.842 0.031 0.812 0.842 0.827 0.981 forearm 0.839 0.029 0.827 0.839 0.833 0.98 head 0.871 0.016 0.901 0.871 0.886 0.987 shin 0.785 0.022 0.859 0.785 0.82 0.973 thigh 0.792 0.035 0.792 0.792 0.792 0.97 upperarm 0.803 0.03 0.818 0.803 0.811 0.981 waist Weighted Avg. 0.82 0.03 0.822 0.82 0.82 0.978 === Confusion Matrix === a b c d e f g <-- classified as 694 26 34 7 18 36 44 | a = chest 46 699 10 7 16 14 38 | b = forearm 37 12 720 2 9 58 20 | c = head 14 14 12 752 33 24 14 | d = shin 48 18 14 44 674 37 24 | e = thigh 35 32 65 9 24 682 14 | f = upperarm 58 60 16 14 11 10 691 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4828 80.601 % Incorrectly Classified Instances 1162 19.399 % Kappa statistic 0.7737 Mean absolute error 0.0942 Root mean squared error 0.1999 Relative absolute error 38.4731 % Root relative squared error 57.139 % Total Number of Instances 5990 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.771 0.044 0.745 0.771 0.757 0.966 chest 0.792 0.029 0.813 0.792 0.802 0.975 forearm 0.855 0.033 0.812 0.855 0.833 0.982 head 0.847 0.021 0.869 0.847 0.858 0.982 shin 0.764 0.023 0.85 0.764 0.804 0.971 thigh 0.794 0.035 0.791 0.794 0.792 0.971 upperarm 0.82 0.04 0.773 0.82 0.796 0.978 waist Weighted Avg. 0.806 0.032 0.807 0.806 0.806 0.975 === Confusion Matrix === a b c d e f g <-- classified as 662 30 35 11 10 49 62 | a = chest 37 657 24 18 14 17 63 | b = forearm 28 15 734 3 14 53 11 | c = head 14 21 15 730 48 12 22 | d = shin 46 13 18 55 656 38 33 | e = thigh 40 23 68 13 18 684 16 | f = upperarm 62 49 10 10 12 12 705 | g = waist ------------------------------------------------------------------------------------------------------ SUBJECT: 2 RUN: 0 FOLD: 0 Correctly Classified Instances 4767 86.6885 % Incorrectly Classified Instances 732 13.3115 % Kappa statistic 0.8446 Mean absolute error 0.072 Root mean squared error 0.1714 Relative absolute error 29.4274 % Root relative squared error 49.0064 % Total Number of Instances 5499 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.861 0.022 0.87 0.861 0.866 0.988 chest 0.847 0.025 0.821 0.847 0.834 0.985 forearm 0.824 0.032 0.817 0.824 0.821 0.98 head 0.929 0.008 0.953 0.929 0.941 0.997 shin 0.895 0.02 0.885 0.895 0.89 0.989 thigh 0.825 0.026 0.846 0.825 0.835 0.982 upperarm 0.882 0.023 0.871 0.882 0.876 0.99 waist Weighted Avg. 0.867 0.022 0.867 0.867 0.867 0.987 === Confusion Matrix === a b c d e f g <-- classified as 695 21 20 3 30 24 14 | a = chest 17 550 25 2 7 12 36 | b = forearm 17 39 667 0 6 57 23 | c = head 0 2 3 751 39 8 5 | d = shin 19 8 17 20 723 11 10 | e = thigh 31 19 63 10 1 668 18 | f = upperarm 20 31 21 2 11 10 713 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4778 86.8885 % Incorrectly Classified Instances 721 13.1115 % Kappa statistic 0.8469 Mean absolute error 0.072 Root mean squared error 0.1704 Relative absolute error 29.4078 % Root relative squared error 48.7082 % Total Number of Instances 5499 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.865 0.021 0.875 0.865 0.87 0.988 chest 0.807 0.017 0.863 0.807 0.834 0.985 forearm 0.853 0.036 0.802 0.853 0.827 0.982 head 0.926 0.009 0.946 0.926 0.936 0.995 shin 0.903 0.019 0.892 0.903 0.898 0.99 thigh 0.811 0.026 0.843 0.811 0.827 0.983 upperarm 0.905 0.025 0.864 0.905 0.884 0.992 waist Weighted Avg. 0.869 0.022 0.87 0.869 0.869 0.988 === Confusion Matrix === a b c d e f g <-- classified as 698 14 26 2 27 23 17 | a = chest 15 524 32 6 16 12 44 | b = forearm 17 24 690 4 2 56 16 | c = head 3 4 9 748 29 9 6 | d = shin 16 6 11 18 730 11 16 | e = thigh 34 11 75 12 5 657 16 | f = upperarm 15 24 17 1 9 11 731 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4777 86.8703 % Incorrectly Classified Instances 722 13.1297 % Kappa statistic 0.8467 Mean absolute error 0.0729 Root mean squared error 0.1719 Relative absolute error 29.7862 % Root relative squared error 49.1408 % Total Number of Instances 5499 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.893 0.024 0.867 0.893 0.88 0.99 chest 0.846 0.023 0.83 0.846 0.838 0.987 forearm 0.811 0.03 0.823 0.811 0.817 0.979 head 0.933 0.008 0.952 0.933 0.943 0.996 shin 0.88 0.019 0.888 0.88 0.884 0.987 thigh 0.825 0.027 0.842 0.825 0.833 0.98 upperarm 0.889 0.022 0.872 0.889 0.88 0.989 waist Weighted Avg. 0.869 0.022 0.869 0.869 0.869 0.987 === Confusion Matrix === a b c d e f g <-- classified as 721 15 21 2 23 14 11 | a = chest 14 548 22 4 12 10 38 | b = forearm 22 35 656 2 6 68 20 | c = head 0 1 4 754 37 6 6 | d = shin 27 13 15 17 712 13 12 | e = thigh 27 14 67 12 4 668 18 | f = upperarm 21 34 12 1 8 14 718 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4813 87.525 % Incorrectly Classified Instances 686 12.475 % Kappa statistic 0.8543 Mean absolute error 0.0722 Root mean squared error 0.1694 Relative absolute error 29.5091 % Root relative squared error 48.4389 % Total Number of Instances 5499 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.872 0.021 0.876 0.872 0.874 0.989 chest 0.836 0.021 0.843 0.836 0.84 0.986 forearm 0.828 0.031 0.821 0.828 0.825 0.98 head 0.938 0.007 0.956 0.938 0.947 0.996 shin 0.905 0.017 0.899 0.905 0.902 0.991 thigh 0.841 0.025 0.856 0.841 0.848 0.984 upperarm 0.899 0.023 0.872 0.899 0.885 0.991 waist Weighted Avg. 0.875 0.021 0.875 0.875 0.875 0.988 === Confusion Matrix === a b c d e f g <-- classified as 704 8 24 0 27 31 13 | a = chest 24 542 19 0 11 10 42 | b = forearm 26 35 670 1 7 52 18 | c = head 2 2 9 758 24 7 6 | d = shin 12 8 9 28 732 8 12 | e = thigh 21 17 66 6 3 681 16 | f = upperarm 15 31 19 0 10 7 726 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4734 86.0884 % Incorrectly Classified Instances 765 13.9116 % Kappa statistic 0.8376 Mean absolute error 0.0743 Root mean squared error 0.1749 Relative absolute error 30.3542 % Root relative squared error 50.0028 % Total Number of Instances 5499 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.871 0.023 0.868 0.871 0.87 0.987 chest 0.812 0.026 0.807 0.812 0.809 0.985 forearm 0.831 0.035 0.802 0.831 0.816 0.978 head 0.929 0.009 0.946 0.929 0.938 0.994 shin 0.878 0.018 0.893 0.878 0.885 0.99 thigh 0.812 0.026 0.844 0.812 0.828 0.983 upperarm 0.884 0.025 0.86 0.884 0.872 0.989 waist Weighted Avg. 0.861 0.023 0.861 0.861 0.861 0.986 === Confusion Matrix === a b c d e f g <-- classified as 703 20 26 4 15 27 12 | a = chest 22 526 22 5 9 13 51 | b = forearm 13 35 672 0 12 55 22 | c = head 2 2 9 751 36 5 3 | d = shin 19 15 10 24 710 15 16 | e = thigh 36 16 76 8 4 658 12 | f = upperarm 15 38 23 2 9 7 714 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4776 86.868 % Incorrectly Classified Instances 722 13.132 % Kappa statistic 0.8466 Mean absolute error 0.0738 Root mean squared error 0.1725 Relative absolute error 30.169 % Root relative squared error 49.3179 % Total Number of Instances 5498 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.882 0.022 0.875 0.882 0.878 0.988 chest 0.806 0.022 0.829 0.806 0.817 0.985 forearm 0.824 0.031 0.822 0.824 0.823 0.979 head 0.917 0.009 0.944 0.917 0.93 0.996 shin 0.889 0.021 0.878 0.889 0.883 0.989 thigh 0.863 0.025 0.855 0.863 0.859 0.984 upperarm 0.887 0.022 0.872 0.887 0.88 0.989 waist Weighted Avg. 0.869 0.022 0.869 0.869 0.869 0.987 === Confusion Matrix === a b c d e f g <-- classified as 712 12 21 3 26 20 13 | a = chest 29 522 32 3 9 8 45 | b = forearm 20 30 667 4 10 56 22 | c = head 0 2 7 741 40 10 8 | d = shin 24 6 13 26 718 14 7 | e = thigh 19 16 58 6 2 699 10 | f = upperarm 10 42 13 2 13 11 717 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4715 85.7585 % Incorrectly Classified Instances 783 14.2415 % Kappa statistic 0.8337 Mean absolute error 0.0753 Root mean squared error 0.1762 Relative absolute error 30.773 % Root relative squared error 50.3657 % Total Number of Instances 5498 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.859 0.024 0.86 0.859 0.859 0.986 chest 0.818 0.021 0.838 0.818 0.828 0.984 forearm 0.828 0.038 0.789 0.828 0.808 0.977 head 0.912 0.01 0.941 0.912 0.926 0.994 shin 0.885 0.019 0.889 0.885 0.887 0.989 thigh 0.821 0.03 0.825 0.821 0.823 0.981 upperarm 0.873 0.024 0.863 0.873 0.868 0.989 waist Weighted Avg. 0.858 0.024 0.858 0.858 0.858 0.986 === Confusion Matrix === a b c d e f g <-- classified as 693 16 26 5 19 30 18 | a = chest 16 531 40 3 10 12 37 | b = forearm 27 20 669 2 10 61 19 | c = head 2 3 12 737 33 14 7 | d = shin 25 7 5 27 715 13 16 | e = thigh 27 15 81 5 2 665 15 | f = upperarm 16 42 15 4 15 11 705 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4775 86.8498 % Incorrectly Classified Instances 723 13.1502 % Kappa statistic 0.8465 Mean absolute error 0.0734 Root mean squared error 0.1717 Relative absolute error 29.9853 % Root relative squared error 49.1015 % Total Number of Instances 5498 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.879 0.022 0.874 0.879 0.876 0.99 chest 0.855 0.021 0.842 0.855 0.849 0.987 forearm 0.827 0.035 0.802 0.827 0.814 0.977 head 0.915 0.008 0.951 0.915 0.932 0.994 shin 0.897 0.019 0.89 0.897 0.893 0.991 thigh 0.83 0.026 0.848 0.83 0.839 0.98 upperarm 0.875 0.022 0.872 0.875 0.873 0.99 waist Weighted Avg. 0.868 0.022 0.869 0.868 0.869 0.987 === Confusion Matrix === a b c d e f g <-- classified as 709 15 24 0 21 26 12 | a = chest 11 555 27 5 8 9 34 | b = forearm 22 26 669 2 8 55 27 | c = head 2 6 9 739 38 9 5 | d = shin 25 8 12 23 725 7 8 | e = thigh 22 13 77 5 3 672 18 | f = upperarm 20 36 16 3 12 14 706 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4756 86.5042 % Incorrectly Classified Instances 742 13.4958 % Kappa statistic 0.8424 Mean absolute error 0.0726 Root mean squared error 0.1717 Relative absolute error 29.6597 % Root relative squared error 49.0773 % Total Number of Instances 5498 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.879 0.021 0.879 0.879 0.879 0.99 chest 0.82 0.022 0.831 0.82 0.825 0.983 forearm 0.827 0.036 0.798 0.827 0.812 0.98 head 0.918 0.01 0.943 0.918 0.93 0.994 shin 0.901 0.017 0.902 0.901 0.902 0.99 thigh 0.831 0.028 0.836 0.831 0.833 0.982 upperarm 0.871 0.024 0.864 0.871 0.868 0.988 waist Weighted Avg. 0.865 0.023 0.866 0.865 0.865 0.987 === Confusion Matrix === a b c d e f g <-- classified as 709 11 23 3 16 30 15 | a = chest 19 532 32 1 8 15 42 | b = forearm 17 24 669 4 10 60 25 | c = head 2 4 9 742 29 12 10 | d = shin 19 4 17 25 728 6 9 | e = thigh 23 20 72 8 4 672 10 | f = upperarm 18 45 16 4 12 9 704 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4790 87.1226 % Incorrectly Classified Instances 708 12.8774 % Kappa statistic 0.8496 Mean absolute error 0.0714 Root mean squared error 0.1696 Relative absolute error 29.195 % Root relative squared error 48.4763 % Total Number of Instances 5498 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.866 0.019 0.886 0.866 0.876 0.989 chest 0.84 0.017 0.871 0.84 0.855 0.987 forearm 0.818 0.031 0.821 0.818 0.82 0.98 head 0.938 0.008 0.953 0.938 0.946 0.995 shin 0.884 0.02 0.885 0.884 0.884 0.989 thigh 0.849 0.033 0.816 0.849 0.832 0.984 upperarm 0.897 0.023 0.87 0.897 0.884 0.991 waist Weighted Avg. 0.871 0.022 0.872 0.871 0.871 0.988 === Confusion Matrix === a b c d e f g <-- classified as 699 14 25 0 22 36 11 | a = chest 13 545 26 2 10 15 38 | b = forearm 14 29 662 1 11 74 18 | c = head 1 1 4 758 31 8 5 | d = shin 26 4 13 28 714 9 14 | e = thigh 25 6 60 4 5 687 22 | f = upperarm 11 27 16 2 14 13 725 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 1 FOLD: 0 Correctly Classified Instances 4762 86.5976 % Incorrectly Classified Instances 737 13.4024 % Kappa statistic 0.8435 Mean absolute error 0.0721 Root mean squared error 0.1707 Relative absolute error 29.4838 % Root relative squared error 48.812 % Total Number of Instances 5499 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.872 0.019 0.887 0.872 0.879 0.99 chest 0.806 0.022 0.833 0.806 0.819 0.986 forearm 0.823 0.032 0.814 0.823 0.819 0.979 head 0.936 0.01 0.94 0.936 0.938 0.996 shin 0.884 0.017 0.897 0.884 0.89 0.989 thigh 0.832 0.029 0.833 0.832 0.832 0.982 upperarm 0.897 0.027 0.853 0.897 0.875 0.991 waist Weighted Avg. 0.866 0.022 0.866 0.866 0.866 0.988 === Confusion Matrix === a b c d e f g <-- classified as 704 19 20 1 17 31 15 | a = chest 22 523 30 3 11 11 49 | b = forearm 14 41 666 0 9 58 21 | c = head 2 2 6 756 30 6 6 | d = shin 20 4 10 30 715 14 16 | e = thigh 19 14 72 11 2 673 18 | f = upperarm 13 25 14 3 13 15 725 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4785 87.0158 % Incorrectly Classified Instances 714 12.9842 % Kappa statistic 0.8484 Mean absolute error 0.073 Root mean squared error 0.1709 Relative absolute error 29.8442 % Root relative squared error 48.8484 % Total Number of Instances 5499 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.876 0.023 0.866 0.876 0.871 0.988 chest 0.824 0.022 0.836 0.824 0.83 0.987 forearm 0.82 0.034 0.806 0.82 0.813 0.979 head 0.928 0.006 0.964 0.928 0.946 0.995 shin 0.913 0.016 0.908 0.913 0.911 0.993 thigh 0.831 0.029 0.834 0.831 0.832 0.98 upperarm 0.89 0.022 0.875 0.89 0.882 0.99 waist Weighted Avg. 0.87 0.022 0.871 0.87 0.87 0.988 === Confusion Matrix === a b c d e f g <-- classified as 707 17 23 1 22 22 15 | a = chest 19 535 31 2 9 6 47 | b = forearm 20 32 663 2 9 68 15 | c = head 0 1 6 750 26 18 7 | d = shin 24 7 8 17 739 7 7 | e = thigh 30 7 81 4 3 673 12 | f = upperarm 16 41 11 2 6 13 718 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4737 86.1429 % Incorrectly Classified Instances 762 13.8571 % Kappa statistic 0.8382 Mean absolute error 0.0748 Root mean squared error 0.1754 Relative absolute error 30.5644 % Root relative squared error 50.1317 % Total Number of Instances 5499 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.859 0.024 0.862 0.859 0.86 0.985 chest 0.81 0.022 0.832 0.81 0.821 0.985 forearm 0.829 0.033 0.814 0.829 0.822 0.979 head 0.925 0.008 0.95 0.925 0.937 0.995 shin 0.876 0.019 0.886 0.876 0.881 0.987 thigh 0.841 0.029 0.836 0.841 0.838 0.982 upperarm 0.88 0.027 0.847 0.88 0.863 0.988 waist Weighted Avg. 0.861 0.023 0.862 0.861 0.862 0.986 === Confusion Matrix === a b c d e f g <-- classified as 693 23 26 1 24 26 14 | a = chest 20 526 31 4 10 14 44 | b = forearm 19 20 671 3 5 58 33 | c = head 3 2 4 747 37 8 7 | d = shin 25 10 12 23 708 13 17 | e = thigh 28 13 64 7 4 681 13 | f = upperarm 16 38 16 1 11 15 711 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4768 86.7067 % Incorrectly Classified Instances 731 13.2933 % Kappa statistic 0.8448 Mean absolute error 0.0737 Root mean squared error 0.1725 Relative absolute error 30.1043 % Root relative squared error 49.3204 % Total Number of Instances 5499 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.88 0.022 0.871 0.88 0.875 0.989 chest 0.826 0.023 0.83 0.826 0.828 0.984 forearm 0.836 0.034 0.811 0.836 0.823 0.98 head 0.926 0.009 0.947 0.926 0.936 0.994 shin 0.884 0.017 0.898 0.884 0.891 0.99 thigh 0.831 0.029 0.831 0.831 0.831 0.981 upperarm 0.88 0.021 0.879 0.88 0.879 0.989 waist Weighted Avg. 0.867 0.022 0.868 0.867 0.867 0.987 === Confusion Matrix === a b c d e f g <-- classified as 710 14 19 3 16 30 15 | a = chest 13 536 32 2 17 16 33 | b = forearm 27 25 676 3 9 52 17 | c = head 2 4 8 748 27 15 4 | d = shin 16 8 17 23 714 12 18 | e = thigh 29 15 69 10 3 673 11 | f = upperarm 18 44 13 1 9 12 711 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4767 86.6885 % Incorrectly Classified Instances 732 13.3115 % Kappa statistic 0.8446 Mean absolute error 0.0735 Root mean squared error 0.1729 Relative absolute error 30.0385 % Root relative squared error 49.4405 % Total Number of Instances 5499 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.872 0.026 0.853 0.872 0.863 0.988 chest 0.824 0.021 0.843 0.824 0.833 0.985 forearm 0.843 0.035 0.806 0.843 0.824 0.979 head 0.933 0.01 0.944 0.933 0.938 0.996 shin 0.882 0.019 0.888 0.882 0.885 0.989 thigh 0.828 0.024 0.858 0.828 0.843 0.985 upperarm 0.876 0.022 0.875 0.876 0.876 0.987 waist Weighted Avg. 0.867 0.022 0.867 0.867 0.867 0.987 === Confusion Matrix === a b c d e f g <-- classified as 704 16 15 2 27 27 16 | a = chest 24 535 29 1 8 14 38 | b = forearm 29 28 682 1 9 46 14 | c = head 0 3 4 754 33 7 7 | d = shin 17 7 16 35 713 10 10 | e = thigh 29 10 78 4 2 671 16 | f = upperarm 22 36 22 2 11 7 708 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4724 85.9222 % Incorrectly Classified Instances 774 14.0778 % Kappa statistic 0.8356 Mean absolute error 0.0733 Root mean squared error 0.174 Relative absolute error 29.9613 % Root relative squared error 49.7338 % Total Number of Instances 5498 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.872 0.023 0.865 0.872 0.869 0.988 chest 0.829 0.024 0.822 0.829 0.826 0.983 forearm 0.794 0.033 0.804 0.794 0.799 0.976 head 0.925 0.011 0.936 0.925 0.93 0.995 shin 0.881 0.02 0.884 0.881 0.883 0.99 thigh 0.816 0.025 0.85 0.816 0.832 0.983 upperarm 0.892 0.028 0.847 0.892 0.869 0.99 waist Weighted Avg. 0.859 0.023 0.859 0.859 0.859 0.987 === Confusion Matrix === a b c d e f g <-- classified as 704 16 25 3 25 22 12 | a = chest 17 537 22 0 17 10 45 | b = forearm 29 36 642 2 8 62 30 | c = head 2 2 8 747 33 7 9 | d = shin 24 8 11 36 712 8 9 | e = thigh 19 17 77 9 2 661 25 | f = upperarm 19 37 14 1 8 8 721 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4736 86.1404 % Incorrectly Classified Instances 762 13.8596 % Kappa statistic 0.8382 Mean absolute error 0.0738 Root mean squared error 0.1729 Relative absolute error 30.1465 % Root relative squared error 49.4268 % Total Number of Instances 5498 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.869 0.023 0.869 0.869 0.869 0.989 chest 0.816 0.023 0.827 0.816 0.821 0.984 forearm 0.824 0.036 0.8 0.824 0.812 0.978 head 0.928 0.007 0.957 0.928 0.942 0.996 shin 0.899 0.019 0.89 0.899 0.894 0.989 thigh 0.802 0.03 0.821 0.802 0.811 0.979 upperarm 0.882 0.024 0.864 0.882 0.873 0.989 waist Weighted Avg. 0.861 0.023 0.862 0.861 0.862 0.986 === Confusion Matrix === a b c d e f g <-- classified as 701 17 22 1 21 38 7 | a = chest 21 529 26 4 12 7 49 | b = forearm 19 32 667 0 8 62 21 | c = head 2 2 7 750 35 8 4 | d = shin 22 7 9 18 726 14 12 | e = thigh 29 19 81 8 4 650 19 | f = upperarm 13 34 22 3 10 13 713 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4757 86.5224 % Incorrectly Classified Instances 741 13.4776 % Kappa statistic 0.8426 Mean absolute error 0.0731 Root mean squared error 0.1724 Relative absolute error 29.8916 % Root relative squared error 49.2925 % Total Number of Instances 5498 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.865 0.022 0.87 0.865 0.868 0.987 chest 0.829 0.024 0.82 0.829 0.824 0.986 forearm 0.829 0.032 0.816 0.829 0.823 0.979 head 0.912 0.008 0.951 0.912 0.931 0.994 shin 0.903 0.021 0.882 0.903 0.892 0.989 thigh 0.822 0.024 0.854 0.822 0.838 0.983 upperarm 0.889 0.025 0.859 0.889 0.873 0.99 waist Weighted Avg. 0.865 0.022 0.866 0.865 0.865 0.987 === Confusion Matrix === a b c d e f g <-- classified as 698 22 27 4 22 21 13 | a = chest 14 537 29 3 8 15 42 | b = forearm 20 31 671 1 9 51 26 | c = head 1 6 10 737 39 9 6 | d = shin 19 9 11 17 730 8 14 | e = thigh 33 18 59 11 6 666 17 | f = upperarm 17 32 15 2 14 10 718 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4788 87.0862 % Incorrectly Classified Instances 710 12.9138 % Kappa statistic 0.8492 Mean absolute error 0.0721 Root mean squared error 0.1708 Relative absolute error 29.4681 % Root relative squared error 48.8304 % Total Number of Instances 5498 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.884 0.022 0.876 0.884 0.88 0.99 chest 0.838 0.019 0.856 0.838 0.847 0.987 forearm 0.834 0.034 0.808 0.834 0.821 0.977 head 0.913 0.005 0.967 0.913 0.94 0.995 shin 0.894 0.024 0.866 0.894 0.879 0.987 thigh 0.852 0.028 0.839 0.852 0.846 0.985 upperarm 0.875 0.019 0.888 0.875 0.882 0.989 waist Weighted Avg. 0.871 0.022 0.872 0.871 0.871 0.987 === Confusion Matrix === a b c d e f g <-- classified as 713 12 19 0 31 25 7 | a = chest 21 543 29 2 8 11 34 | b = forearm 12 25 675 0 14 64 19 | c = head 3 5 7 738 41 9 5 | d = shin 26 8 14 15 722 11 12 | e = thigh 21 4 71 7 5 690 12 | f = upperarm 18 37 20 1 13 12 707 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4789 87.1044 % Incorrectly Classified Instances 709 12.8956 % Kappa statistic 0.8494 Mean absolute error 0.072 Root mean squared error 0.17 Relative absolute error 29.4393 % Root relative squared error 48.5962 % Total Number of Instances 5498 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.876 0.024 0.864 0.876 0.87 0.99 chest 0.849 0.023 0.834 0.849 0.841 0.987 forearm 0.835 0.032 0.819 0.835 0.827 0.981 head 0.927 0.007 0.96 0.927 0.943 0.995 shin 0.884 0.019 0.887 0.884 0.885 0.988 thigh 0.827 0.022 0.864 0.827 0.845 0.985 upperarm 0.895 0.024 0.866 0.895 0.88 0.99 waist Weighted Avg. 0.871 0.021 0.872 0.871 0.871 0.988 === Confusion Matrix === a b c d e f g <-- classified as 707 11 23 3 31 18 14 | a = chest 23 551 25 2 5 7 36 | b = forearm 10 33 675 2 3 59 26 | c = head 1 3 5 749 37 7 6 | d = shin 23 15 17 18 715 8 13 | e = thigh 36 13 67 4 3 669 17 | f = upperarm 18 35 12 2 12 6 723 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 2 FOLD: 0 Correctly Classified Instances 4793 87.1613 % Incorrectly Classified Instances 706 12.8387 % Kappa statistic 0.8501 Mean absolute error 0.0741 Root mean squared error 0.1726 Relative absolute error 30.268 % Root relative squared error 49.3379 % Total Number of Instances 5499 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.877 0.024 0.861 0.877 0.869 0.988 chest 0.827 0.019 0.851 0.827 0.839 0.986 forearm 0.847 0.031 0.825 0.847 0.836 0.982 head 0.915 0.009 0.947 0.915 0.931 0.994 shin 0.88 0.02 0.882 0.88 0.881 0.99 thigh 0.847 0.024 0.861 0.847 0.854 0.984 upperarm 0.9 0.023 0.873 0.9 0.886 0.99 waist Weighted Avg. 0.872 0.021 0.872 0.872 0.872 0.988 === Confusion Matrix === a b c d e f g <-- classified as 708 15 29 3 24 16 12 | a = chest 23 537 31 5 10 11 32 | b = forearm 16 30 685 2 6 53 17 | c = head 0 2 10 739 35 9 13 | d = shin 28 7 11 23 711 14 14 | e = thigh 36 11 50 5 4 686 18 | f = upperarm 11 29 14 3 16 8 727 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4789 87.0886 % Incorrectly Classified Instances 710 12.9114 % Kappa statistic 0.8493 Mean absolute error 0.0727 Root mean squared error 0.1707 Relative absolute error 29.7077 % Root relative squared error 48.7927 % Total Number of Instances 5499 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.891 0.022 0.874 0.891 0.882 0.988 chest 0.843 0.024 0.828 0.843 0.835 0.987 forearm 0.824 0.03 0.824 0.824 0.824 0.981 head 0.941 0.006 0.962 0.941 0.951 0.997 shin 0.897 0.019 0.89 0.897 0.893 0.989 thigh 0.822 0.027 0.841 0.822 0.831 0.982 upperarm 0.873 0.022 0.871 0.873 0.872 0.989 waist Weighted Avg. 0.871 0.021 0.871 0.871 0.871 0.988 === Confusion Matrix === a b c d e f g <-- classified as 719 11 16 1 29 17 14 | a = chest 18 547 22 1 4 9 48 | b = forearm 18 29 667 2 8 67 18 | c = head 1 3 4 760 31 7 2 | d = shin 19 10 11 19 725 14 10 | e = thigh 29 19 72 7 5 666 12 | f = upperarm 19 42 17 0 13 12 705 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4744 86.2702 % Incorrectly Classified Instances 755 13.7298 % Kappa statistic 0.8397 Mean absolute error 0.0727 Root mean squared error 0.1718 Relative absolute error 29.7159 % Root relative squared error 49.1097 % Total Number of Instances 5499 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.848 0.022 0.868 0.848 0.858 0.989 chest 0.818 0.02 0.843 0.818 0.83 0.985 forearm 0.828 0.037 0.795 0.828 0.811 0.977 head 0.923 0.009 0.947 0.923 0.935 0.995 shin 0.892 0.021 0.879 0.892 0.886 0.99 thigh 0.828 0.026 0.847 0.828 0.838 0.984 upperarm 0.892 0.025 0.86 0.892 0.876 0.99 waist Weighted Avg. 0.863 0.023 0.863 0.863 0.863 0.987 === Confusion Matrix === a b c d e f g <-- classified as 684 24 19 1 29 28 22 | a = chest 15 531 25 3 11 19 45 | b = forearm 28 31 670 2 9 46 23 | c = head 2 3 6 746 36 10 5 | d = shin 22 7 15 26 721 4 13 | e = thigh 22 10 88 6 4 671 9 | f = upperarm 15 24 20 4 10 14 721 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4777 86.8703 % Incorrectly Classified Instances 722 13.1297 % Kappa statistic 0.8467 Mean absolute error 0.0728 Root mean squared error 0.1712 Relative absolute error 29.7624 % Root relative squared error 48.9486 % Total Number of Instances 5499 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.874 0.022 0.871 0.874 0.873 0.988 chest 0.817 0.021 0.839 0.817 0.827 0.984 forearm 0.841 0.035 0.805 0.841 0.822 0.98 head 0.923 0.009 0.949 0.923 0.936 0.995 shin 0.899 0.021 0.881 0.899 0.89 0.989 thigh 0.831 0.024 0.858 0.831 0.844 0.984 upperarm 0.887 0.022 0.875 0.887 0.881 0.991 waist Weighted Avg. 0.869 0.022 0.869 0.869 0.869 0.987 === Confusion Matrix === a b c d e f g <-- classified as 705 10 25 1 32 28 6 | a = chest 18 530 31 1 7 12 50 | b = forearm 16 34 680 3 9 49 18 | c = head 2 2 11 746 33 7 7 | d = shin 19 11 16 23 727 5 8 | e = thigh 28 11 70 10 5 672 13 | f = upperarm 21 34 12 2 12 10 717 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4775 86.834 % Incorrectly Classified Instances 724 13.166 % Kappa statistic 0.8462 Mean absolute error 0.0724 Root mean squared error 0.1711 Relative absolute error 29.5883 % Root relative squared error 48.9299 % Total Number of Instances 5499 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.895 0.027 0.852 0.895 0.873 0.989 chest 0.826 0.019 0.851 0.826 0.838 0.987 forearm 0.832 0.036 0.797 0.832 0.814 0.98 head 0.917 0.007 0.957 0.917 0.937 0.995 shin 0.902 0.018 0.898 0.902 0.9 0.991 thigh 0.8 0.027 0.837 0.8 0.818 0.981 upperarm 0.899 0.02 0.888 0.899 0.893 0.992 waist Weighted Avg. 0.868 0.022 0.869 0.868 0.868 0.988 === Confusion Matrix === a b c d e f g <-- classified as 722 13 25 0 17 22 8 | a = chest 20 536 29 2 11 15 36 | b = forearm 32 27 673 1 4 52 20 | c = head 1 4 9 741 38 10 5 | d = shin 22 7 8 19 730 11 12 | e = thigh 29 16 90 11 5 647 11 | f = upperarm 21 27 10 0 8 16 726 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4795 87.2135 % Incorrectly Classified Instances 703 12.7865 % Kappa statistic 0.8507 Mean absolute error 0.0716 Root mean squared error 0.1698 Relative absolute error 29.2644 % Root relative squared error 48.5542 % Total Number of Instances 5498 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.881 0.021 0.877 0.881 0.879 0.99 chest 0.824 0.023 0.827 0.824 0.825 0.983 forearm 0.84 0.031 0.822 0.84 0.831 0.98 head 0.939 0.009 0.95 0.939 0.945 0.996 shin 0.885 0.016 0.904 0.885 0.894 0.991 thigh 0.848 0.026 0.849 0.848 0.849 0.985 upperarm 0.877 0.023 0.87 0.877 0.874 0.989 waist Weighted Avg. 0.872 0.021 0.873 0.872 0.872 0.988 === Confusion Matrix === a b c d e f g <-- classified as 711 19 21 2 18 23 13 | a = chest 18 534 31 3 14 9 39 | b = forearm 15 33 679 1 7 54 19 | c = head 1 2 2 759 24 13 7 | d = shin 25 6 13 24 716 9 16 | e = thigh 23 8 67 10 3 687 12 | f = upperarm 18 44 13 0 10 14 709 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4752 86.4314 % Incorrectly Classified Instances 746 13.5686 % Kappa statistic 0.8416 Mean absolute error 0.0739 Root mean squared error 0.1735 Relative absolute error 30.2155 % Root relative squared error 49.5915 % Total Number of Instances 5498 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.862 0.02 0.879 0.862 0.871 0.989 chest 0.83 0.021 0.843 0.83 0.837 0.986 forearm 0.81 0.033 0.81 0.81 0.81 0.978 head 0.929 0.011 0.934 0.929 0.932 0.995 shin 0.875 0.016 0.902 0.875 0.888 0.989 thigh 0.833 0.027 0.841 0.833 0.837 0.983 upperarm 0.903 0.029 0.841 0.903 0.871 0.989 waist Weighted Avg. 0.864 0.023 0.865 0.864 0.864 0.987 === Confusion Matrix === a b c d e f g <-- classified as 696 19 24 5 24 24 15 | a = chest 14 538 30 1 8 7 50 | b = forearm 22 27 655 3 6 68 28 | c = head 1 2 9 751 31 7 7 | d = shin 21 8 15 31 707 13 13 | e = thigh 21 13 66 10 0 675 25 | f = upperarm 17 31 10 3 8 9 730 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4757 86.5224 % Incorrectly Classified Instances 741 13.4776 % Kappa statistic 0.8426 Mean absolute error 0.0731 Root mean squared error 0.1722 Relative absolute error 29.8619 % Root relative squared error 49.2198 % Total Number of Instances 5498 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.857 0.018 0.889 0.857 0.873 0.988 chest 0.836 0.021 0.84 0.836 0.838 0.987 forearm 0.815 0.037 0.793 0.815 0.804 0.977 head 0.929 0.008 0.952 0.929 0.941 0.997 shin 0.889 0.018 0.893 0.889 0.891 0.988 thigh 0.826 0.027 0.84 0.826 0.833 0.983 upperarm 0.899 0.028 0.849 0.899 0.873 0.989 waist Weighted Avg. 0.865 0.023 0.866 0.865 0.865 0.987 === Confusion Matrix === a b c d e f g <-- classified as 692 19 27 3 26 27 13 | a = chest 14 542 26 1 8 9 48 | b = forearm 15 34 659 1 8 64 28 | c = head 1 1 10 751 32 8 5 | d = shin 18 6 14 25 718 12 15 | e = thigh 27 13 75 5 1 669 20 | f = upperarm 11 30 20 3 11 7 726 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4775 86.8498 % Incorrectly Classified Instances 723 13.1502 % Kappa statistic 0.8465 Mean absolute error 0.0737 Root mean squared error 0.173 Relative absolute error 30.0999 % Root relative squared error 49.4559 % Total Number of Instances 5498 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.875 0.019 0.89 0.875 0.883 0.99 chest 0.835 0.023 0.828 0.835 0.832 0.984 forearm 0.831 0.033 0.815 0.831 0.823 0.978 head 0.912 0.009 0.949 0.912 0.93 0.994 shin 0.899 0.02 0.883 0.899 0.891 0.99 thigh 0.841 0.026 0.848 0.841 0.844 0.981 upperarm 0.881 0.024 0.863 0.881 0.872 0.989 waist Weighted Avg. 0.868 0.022 0.869 0.868 0.869 0.987 === Confusion Matrix === a b c d e f g <-- classified as 706 13 24 1 21 29 13 | a = chest 20 541 25 2 9 12 39 | b = forearm 10 33 672 3 9 57 25 | c = head 3 5 8 737 40 7 8 | d = shin 19 8 10 21 726 8 16 | e = thigh 19 15 66 12 5 681 12 | f = upperarm 16 38 20 1 12 9 712 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4764 86.6497 % Incorrectly Classified Instances 734 13.3503 % Kappa statistic 0.8441 Mean absolute error 0.073 Root mean squared error 0.1727 Relative absolute error 29.8477 % Root relative squared error 49.3844 % Total Number of Instances 5498 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.877 0.02 0.881 0.877 0.879 0.988 chest 0.834 0.022 0.836 0.834 0.835 0.986 forearm 0.812 0.03 0.822 0.812 0.817 0.978 head 0.922 0.009 0.948 0.922 0.935 0.995 shin 0.881 0.017 0.9 0.881 0.891 0.988 thigh 0.841 0.03 0.828 0.841 0.835 0.982 upperarm 0.892 0.027 0.848 0.892 0.87 0.99 waist Weighted Avg. 0.866 0.022 0.867 0.866 0.867 0.987 === Confusion Matrix === a b c d e f g <-- classified as 708 9 22 3 17 33 15 | a = chest 13 541 22 2 12 12 47 | b = forearm 23 35 657 3 7 61 23 | c = head 1 4 3 745 32 15 8 | d = shin 25 6 15 26 712 11 13 | e = thigh 19 12 69 5 1 681 23 | f = upperarm 15 40 11 2 10 9 720 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 3 FOLD: 0 Correctly Classified Instances 4753 86.4339 % Incorrectly Classified Instances 746 13.5661 % Kappa statistic 0.8416 Mean absolute error 0.0735 Root mean squared error 0.1735 Relative absolute error 30.0574 % Root relative squared error 49.6144 % Total Number of Instances 5499 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.881 0.022 0.872 0.881 0.877 0.989 chest 0.823 0.021 0.838 0.823 0.83 0.986 forearm 0.823 0.036 0.797 0.823 0.81 0.978 head 0.929 0.01 0.941 0.929 0.935 0.994 shin 0.88 0.017 0.901 0.88 0.89 0.989 thigh 0.82 0.028 0.836 0.82 0.828 0.981 upperarm 0.886 0.024 0.863 0.886 0.874 0.989 waist Weighted Avg. 0.864 0.023 0.865 0.864 0.864 0.987 === Confusion Matrix === a b c d e f g <-- classified as 711 12 22 1 24 19 18 | a = chest 21 534 29 5 11 13 36 | b = forearm 26 29 666 2 6 60 20 | c = head 0 5 8 751 22 15 7 | d = shin 24 10 11 26 711 10 16 | e = thigh 21 10 83 10 5 664 17 | f = upperarm 12 37 17 3 10 13 716 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4747 86.3248 % Incorrectly Classified Instances 752 13.6752 % Kappa statistic 0.8403 Mean absolute error 0.0733 Root mean squared error 0.1732 Relative absolute error 29.961 % Root relative squared error 49.5217 % Total Number of Instances 5499 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.881 0.02 0.884 0.881 0.883 0.988 chest 0.829 0.02 0.846 0.829 0.837 0.985 forearm 0.815 0.032 0.817 0.815 0.816 0.979 head 0.92 0.01 0.942 0.92 0.93 0.997 shin 0.86 0.02 0.883 0.86 0.871 0.988 thigh 0.832 0.031 0.821 0.832 0.826 0.981 upperarm 0.9 0.027 0.85 0.9 0.874 0.991 waist Weighted Avg. 0.863 0.023 0.864 0.863 0.863 0.987 === Confusion Matrix === a b c d e f g <-- classified as 711 14 20 0 18 31 13 | a = chest 15 538 18 1 13 10 54 | b = forearm 18 25 659 2 12 74 19 | c = head 2 2 6 743 34 11 10 | d = shin 24 9 17 33 695 11 19 | e = thigh 21 16 74 9 3 674 13 | f = upperarm 13 32 13 1 12 10 727 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4751 86.3975 % Incorrectly Classified Instances 748 13.6025 % Kappa statistic 0.8412 Mean absolute error 0.0746 Root mean squared error 0.1733 Relative absolute error 30.5064 % Root relative squared error 49.5431 % Total Number of Instances 5499 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.87 0.022 0.874 0.87 0.872 0.989 chest 0.801 0.025 0.81 0.801 0.805 0.984 forearm 0.833 0.036 0.798 0.833 0.815 0.979 head 0.916 0.007 0.955 0.916 0.935 0.996 shin 0.891 0.022 0.876 0.891 0.884 0.99 thigh 0.842 0.026 0.848 0.842 0.845 0.984 upperarm 0.882 0.02 0.882 0.882 0.882 0.99 waist Weighted Avg. 0.864 0.023 0.865 0.864 0.864 0.987 === Confusion Matrix === a b c d e f g <-- classified as 702 17 26 2 30 20 10 | a = chest 23 519 38 3 5 12 48 | b = forearm 20 32 674 2 6 62 13 | c = head 0 3 11 740 42 7 5 | d = shin 22 13 14 18 721 12 9 | e = thigh 20 13 69 9 7 682 10 | f = upperarm 16 44 13 1 12 9 713 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4752 86.4157 % Incorrectly Classified Instances 747 13.5843 % Kappa statistic 0.8414 Mean absolute error 0.0726 Root mean squared error 0.1716 Relative absolute error 29.6819 % Root relative squared error 49.0642 % Total Number of Instances 5499 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.849 0.023 0.864 0.849 0.856 0.987 chest 0.847 0.017 0.871 0.847 0.859 0.989 forearm 0.832 0.034 0.809 0.832 0.82 0.982 head 0.928 0.01 0.942 0.928 0.935 0.996 shin 0.879 0.021 0.88 0.879 0.879 0.99 thigh 0.82 0.029 0.829 0.82 0.824 0.982 upperarm 0.891 0.025 0.858 0.891 0.874 0.99 waist Weighted Avg. 0.864 0.023 0.865 0.864 0.864 0.988 === Confusion Matrix === a b c d e f g <-- classified as 685 16 26 2 27 37 14 | a = chest 12 549 28 1 3 11 44 | b = forearm 18 20 673 0 11 61 26 | c = head 2 0 6 750 38 3 9 | d = shin 23 5 14 32 711 12 12 | e = thigh 37 11 71 7 6 664 14 | f = upperarm 16 29 14 4 12 13 720 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4767 86.6885 % Incorrectly Classified Instances 732 13.3115 % Kappa statistic 0.8446 Mean absolute error 0.0725 Root mean squared error 0.1707 Relative absolute error 29.6089 % Root relative squared error 48.7992 % Total Number of Instances 5499 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.87 0.022 0.872 0.87 0.871 0.989 chest 0.827 0.022 0.836 0.827 0.832 0.986 forearm 0.828 0.036 0.8 0.828 0.814 0.977 head 0.925 0.008 0.954 0.925 0.939 0.996 shin 0.912 0.02 0.887 0.912 0.899 0.991 thigh 0.823 0.026 0.848 0.823 0.835 0.983 upperarm 0.875 0.023 0.87 0.875 0.872 0.989 waist Weighted Avg. 0.867 0.022 0.867 0.867 0.867 0.987 === Confusion Matrix === a b c d e f g <-- classified as 702 17 20 3 27 29 9 | a = chest 20 536 31 0 7 13 41 | b = forearm 20 28 670 2 11 54 24 | c = head 1 5 7 747 34 10 4 | d = shin 19 5 8 22 738 8 9 | e = thigh 30 7 79 7 1 667 19 | f = upperarm 13 43 23 2 14 6 707 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4819 87.6501 % Incorrectly Classified Instances 679 12.3499 % Kappa statistic 0.8558 Mean absolute error 0.0708 Root mean squared error 0.1686 Relative absolute error 28.9346 % Root relative squared error 48.2036 % Total Number of Instances 5498 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.88 0.02 0.882 0.88 0.881 0.989 chest 0.846 0.023 0.829 0.846 0.837 0.987 forearm 0.845 0.03 0.828 0.845 0.837 0.98 head 0.932 0.006 0.963 0.932 0.947 0.995 shin 0.903 0.019 0.889 0.903 0.896 0.99 thigh 0.821 0.024 0.856 0.821 0.838 0.98 upperarm 0.902 0.021 0.883 0.902 0.892 0.992 waist Weighted Avg. 0.877 0.02 0.877 0.877 0.877 0.988 === Confusion Matrix === a b c d e f g <-- classified as 710 19 18 1 27 24 8 | a = chest 10 548 19 2 17 13 39 | b = forearm 14 38 684 2 10 41 20 | c = head 4 1 8 753 29 9 4 | d = shin 18 4 13 20 730 14 9 | e = thigh 33 21 67 4 3 665 17 | f = upperarm 16 30 17 0 5 11 729 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4773 86.8134 % Incorrectly Classified Instances 725 13.1866 % Kappa statistic 0.846 Mean absolute error 0.0724 Root mean squared error 0.1713 Relative absolute error 29.5937 % Root relative squared error 48.9688 % Total Number of Instances 5498 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.892 0.023 0.867 0.892 0.88 0.989 chest 0.835 0.023 0.827 0.835 0.831 0.985 forearm 0.835 0.034 0.808 0.835 0.822 0.979 head 0.922 0.006 0.964 0.922 0.942 0.994 shin 0.89 0.017 0.902 0.89 0.896 0.989 thigh 0.828 0.028 0.836 0.828 0.832 0.982 upperarm 0.868 0.022 0.871 0.868 0.869 0.989 waist Weighted Avg. 0.868 0.022 0.869 0.868 0.868 0.987 === Confusion Matrix === a b c d e f g <-- classified as 720 7 19 2 18 28 13 | a = chest 14 542 35 1 9 9 39 | b = forearm 16 34 675 1 5 52 25 | c = head 1 1 8 745 35 14 4 | d = shin 28 8 13 13 719 15 12 | e = thigh 28 16 70 10 4 671 11 | f = upperarm 23 47 15 1 7 14 701 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4771 86.777 % Incorrectly Classified Instances 727 13.223 % Kappa statistic 0.8456 Mean absolute error 0.073 Root mean squared error 0.1724 Relative absolute error 29.8407 % Root relative squared error 49.2744 % Total Number of Instances 5498 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.87 0.018 0.891 0.87 0.88 0.989 chest 0.831 0.022 0.836 0.831 0.833 0.982 forearm 0.842 0.033 0.815 0.842 0.828 0.979 head 0.929 0.009 0.946 0.929 0.938 0.995 shin 0.886 0.02 0.883 0.886 0.884 0.989 thigh 0.832 0.027 0.84 0.832 0.836 0.983 upperarm 0.877 0.024 0.861 0.877 0.869 0.99 waist Weighted Avg. 0.868 0.022 0.868 0.868 0.868 0.987 === Confusion Matrix === a b c d e f g <-- classified as 702 15 28 1 17 28 16 | a = chest 14 539 27 3 13 18 35 | b = forearm 18 34 681 2 7 50 17 | c = head 1 0 4 751 37 8 7 | d = shin 19 9 9 25 716 9 21 | e = thigh 21 16 68 9 4 673 18 | f = upperarm 13 32 19 3 17 15 709 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4752 86.4314 % Incorrectly Classified Instances 746 13.5686 % Kappa statistic 0.8416 Mean absolute error 0.074 Root mean squared error 0.1737 Relative absolute error 30.2608 % Root relative squared error 49.6534 % Total Number of Instances 5498 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.867 0.026 0.854 0.867 0.86 0.987 chest 0.837 0.02 0.848 0.837 0.843 0.986 forearm 0.811 0.032 0.815 0.811 0.813 0.977 head 0.916 0.009 0.948 0.916 0.931 0.992 shin 0.894 0.023 0.87 0.894 0.882 0.989 thigh 0.822 0.023 0.861 0.822 0.841 0.983 upperarm 0.899 0.026 0.854 0.899 0.876 0.99 waist Weighted Avg. 0.864 0.023 0.865 0.864 0.864 0.986 === Confusion Matrix === a b c d e f g <-- classified as 700 17 25 4 26 17 18 | a = chest 20 543 20 4 14 7 41 | b = forearm 26 26 656 2 7 60 32 | c = head 2 3 7 740 41 11 4 | d = shin 24 6 15 24 722 5 12 | e = thigh 34 15 68 5 5 665 17 | f = upperarm 14 30 14 2 15 7 726 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4741 86.2314 % Incorrectly Classified Instances 757 13.7686 % Kappa statistic 0.8392 Mean absolute error 0.0736 Root mean squared error 0.1732 Relative absolute error 30.0677 % Root relative squared error 49.5195 % Total Number of Instances 5498 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.866 0.025 0.857 0.866 0.861 0.986 chest 0.827 0.025 0.816 0.827 0.822 0.985 forearm 0.818 0.037 0.791 0.818 0.804 0.978 head 0.939 0.007 0.957 0.939 0.948 0.996 shin 0.89 0.019 0.892 0.89 0.891 0.989 thigh 0.823 0.027 0.842 0.823 0.833 0.983 upperarm 0.865 0.021 0.877 0.865 0.871 0.989 waist Weighted Avg. 0.862 0.023 0.863 0.862 0.863 0.987 === Confusion Matrix === a b c d e f g <-- classified as 699 16 26 4 26 23 13 | a = chest 20 537 34 1 8 15 34 | b = forearm 22 35 662 4 9 61 16 | c = head 2 3 7 759 26 6 5 | d = shin 23 11 15 16 719 11 13 | e = thigh 29 15 70 7 5 667 17 | f = upperarm 21 41 23 2 13 9 698 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 4 FOLD: 0 Correctly Classified Instances 4743 86.252 % Incorrectly Classified Instances 756 13.748 % Kappa statistic 0.8394 Mean absolute error 0.0752 Root mean squared error 0.1755 Relative absolute error 30.7371 % Root relative squared error 50.1631 % Total Number of Instances 5499 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.89 0.027 0.852 0.89 0.87 0.987 chest 0.803 0.021 0.834 0.803 0.818 0.982 forearm 0.806 0.036 0.792 0.806 0.799 0.973 head 0.934 0.008 0.953 0.934 0.944 0.997 shin 0.897 0.02 0.885 0.897 0.891 0.988 thigh 0.816 0.024 0.853 0.816 0.834 0.982 upperarm 0.88 0.024 0.865 0.88 0.872 0.99 waist Weighted Avg. 0.863 0.023 0.863 0.863 0.862 0.986 === Confusion Matrix === a b c d e f g <-- classified as 718 14 24 0 23 14 14 | a = chest 25 521 34 2 15 9 43 | b = forearm 30 26 652 4 13 60 24 | c = head 3 0 3 755 29 10 8 | d = shin 17 7 13 23 725 10 13 | e = thigh 34 15 79 7 5 661 9 | f = upperarm 16 42 18 1 9 11 711 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4769 86.7249 % Incorrectly Classified Instances 730 13.2751 % Kappa statistic 0.845 Mean absolute error 0.0725 Root mean squared error 0.1714 Relative absolute error 29.6397 % Root relative squared error 49.0012 % Total Number of Instances 5499 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.869 0.022 0.871 0.869 0.87 0.988 chest 0.798 0.022 0.826 0.798 0.812 0.985 forearm 0.838 0.034 0.81 0.838 0.824 0.981 head 0.947 0.008 0.955 0.947 0.951 0.997 shin 0.892 0.017 0.9 0.892 0.896 0.99 thigh 0.835 0.025 0.851 0.835 0.843 0.983 upperarm 0.879 0.026 0.851 0.879 0.865 0.988 waist Weighted Avg. 0.867 0.022 0.868 0.867 0.867 0.988 === Confusion Matrix === a b c d e f g <-- classified as 701 13 27 1 28 25 12 | a = chest 23 518 30 2 14 15 47 | b = forearm 18 32 678 1 6 47 27 | c = head 2 4 5 765 23 6 3 | d = shin 21 8 8 22 721 13 15 | e = thigh 19 16 71 7 1 676 20 | f = upperarm 21 36 18 3 8 12 710 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4766 86.6703 % Incorrectly Classified Instances 733 13.3297 % Kappa statistic 0.8444 Mean absolute error 0.0742 Root mean squared error 0.1731 Relative absolute error 30.3302 % Root relative squared error 49.4952 % Total Number of Instances 5499 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.85 0.022 0.869 0.85 0.86 0.986 chest 0.824 0.024 0.822 0.824 0.823 0.984 forearm 0.85 0.033 0.818 0.85 0.834 0.98 head 0.913 0.008 0.953 0.913 0.933 0.993 shin 0.894 0.02 0.883 0.894 0.888 0.989 thigh 0.835 0.026 0.847 0.835 0.841 0.982 upperarm 0.892 0.023 0.871 0.892 0.881 0.989 waist Weighted Avg. 0.867 0.022 0.867 0.867 0.867 0.986 === Confusion Matrix === a b c d e f g <-- classified as 686 23 26 4 23 31 14 | a = chest 22 535 27 2 11 12 40 | b = forearm 15 27 688 2 11 48 18 | c = head 2 6 5 738 36 13 8 | d = shin 24 14 10 19 722 8 11 | e = thigh 29 12 62 8 7 676 16 | f = upperarm 11 34 23 1 8 10 721 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4784 86.9976 % Incorrectly Classified Instances 715 13.0024 % Kappa statistic 0.8482 Mean absolute error 0.0719 Root mean squared error 0.1702 Relative absolute error 29.3908 % Root relative squared error 48.6473 % Total Number of Instances 5499 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.875 0.017 0.897 0.875 0.886 0.989 chest 0.827 0.021 0.838 0.827 0.833 0.984 forearm 0.831 0.033 0.811 0.831 0.821 0.979 head 0.922 0.01 0.938 0.922 0.93 0.995 shin 0.89 0.018 0.897 0.89 0.893 0.991 thigh 0.821 0.028 0.836 0.821 0.829 0.981 upperarm 0.916 0.024 0.87 0.916 0.892 0.991 waist Weighted Avg. 0.87 0.022 0.87 0.87 0.87 0.987 === Confusion Matrix === a b c d e f g <-- classified as 706 16 27 3 19 28 8 | a = chest 11 537 32 4 15 6 44 | b = forearm 13 37 672 2 6 61 18 | c = head 2 3 6 745 34 12 6 | d = shin 16 5 13 27 719 16 12 | e = thigh 27 17 66 11 1 665 23 | f = upperarm 12 26 13 2 8 7 740 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4766 86.6703 % Incorrectly Classified Instances 733 13.3297 % Kappa statistic 0.8443 Mean absolute error 0.0716 Root mean squared error 0.171 Relative absolute error 29.2577 % Root relative squared error 48.9015 % Total Number of Instances 5499 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.871 0.021 0.875 0.871 0.873 0.986 chest 0.823 0.021 0.842 0.823 0.832 0.988 forearm 0.81 0.038 0.786 0.81 0.798 0.975 head 0.928 0.005 0.97 0.928 0.949 0.996 shin 0.907 0.018 0.896 0.907 0.902 0.989 thigh 0.831 0.027 0.84 0.831 0.836 0.983 upperarm 0.889 0.025 0.858 0.889 0.873 0.99 waist Weighted Avg. 0.867 0.022 0.868 0.867 0.867 0.986 === Confusion Matrix === a b c d e f g <-- classified as 703 12 21 2 28 28 13 | a = chest 23 534 32 0 5 12 43 | b = forearm 19 38 655 1 8 57 31 | c = head 1 1 10 750 27 11 8 | d = shin 22 8 15 11 733 10 9 | e = thigh 19 8 82 8 5 673 15 | f = upperarm 16 33 18 1 12 10 718 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4805 87.3954 % Incorrectly Classified Instances 693 12.6046 % Kappa statistic 0.8528 Mean absolute error 0.0725 Root mean squared error 0.171 Relative absolute error 29.6211 % Root relative squared error 48.8747 % Total Number of Instances 5498 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.891 0.019 0.889 0.891 0.89 0.991 chest 0.86 0.021 0.844 0.86 0.852 0.986 forearm 0.832 0.032 0.817 0.832 0.824 0.98 head 0.929 0.009 0.947 0.929 0.938 0.994 shin 0.873 0.016 0.902 0.873 0.887 0.988 thigh 0.84 0.029 0.831 0.84 0.835 0.983 upperarm 0.891 0.02 0.887 0.891 0.889 0.991 waist Weighted Avg. 0.874 0.021 0.875 0.874 0.874 0.988 === Confusion Matrix === a b c d e f g <-- classified as 719 16 19 1 14 29 9 | a = chest 6 558 29 2 5 18 31 | b = forearm 16 28 672 0 10 63 19 | c = head 1 2 12 751 28 8 6 | d = shin 21 12 15 30 705 11 14 | e = thigh 30 6 66 8 7 680 13 | f = upperarm 16 39 10 1 13 9 720 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4724 85.9222 % Incorrectly Classified Instances 774 14.0778 % Kappa statistic 0.8356 Mean absolute error 0.0748 Root mean squared error 0.1741 Relative absolute error 30.5812 % Root relative squared error 49.7694 % Total Number of Instances 5498 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.864 0.027 0.848 0.864 0.856 0.986 chest 0.818 0.023 0.828 0.818 0.823 0.983 forearm 0.823 0.034 0.807 0.823 0.815 0.98 head 0.936 0.011 0.936 0.936 0.936 0.995 shin 0.874 0.015 0.907 0.874 0.89 0.991 thigh 0.815 0.028 0.837 0.815 0.826 0.983 upperarm 0.877 0.027 0.848 0.877 0.863 0.988 waist Weighted Avg. 0.859 0.023 0.86 0.859 0.859 0.987 === Confusion Matrix === a b c d e f g <-- classified as 697 18 20 6 19 27 20 | a = chest 16 530 30 6 7 10 49 | b = forearm 21 27 666 3 5 63 24 | c = head 2 4 8 756 28 7 3 | d = shin 27 9 8 32 706 9 17 | e = thigh 36 15 78 3 4 660 14 | f = upperarm 23 37 15 2 9 13 709 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4724 85.9222 % Incorrectly Classified Instances 774 14.0778 % Kappa statistic 0.8356 Mean absolute error 0.0745 Root mean squared error 0.1748 Relative absolute error 30.4291 % Root relative squared error 49.9673 % Total Number of Instances 5498 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.879 0.027 0.847 0.879 0.863 0.987 chest 0.806 0.023 0.825 0.806 0.815 0.985 forearm 0.806 0.033 0.807 0.806 0.806 0.979 head 0.921 0.007 0.956 0.921 0.938 0.995 shin 0.892 0.02 0.886 0.892 0.889 0.99 thigh 0.832 0.026 0.844 0.832 0.838 0.982 upperarm 0.869 0.027 0.846 0.869 0.857 0.987 waist Weighted Avg. 0.859 0.023 0.86 0.859 0.859 0.986 === Confusion Matrix === a b c d e f g <-- classified as 709 17 17 1 18 22 23 | a = chest 26 522 27 1 14 10 48 | b = forearm 35 27 652 1 7 67 20 | c = head 1 6 8 744 35 6 8 | d = shin 21 7 17 23 722 8 11 | e = thigh 27 14 70 6 1 673 18 | f = upperarm 18 40 17 2 18 11 702 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4778 86.9043 % Incorrectly Classified Instances 720 13.0957 % Kappa statistic 0.8471 Mean absolute error 0.0722 Root mean squared error 0.1706 Relative absolute error 29.5242 % Root relative squared error 48.7713 % Total Number of Instances 5498 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.867 0.023 0.864 0.867 0.866 0.989 chest 0.826 0.018 0.859 0.826 0.842 0.987 forearm 0.837 0.033 0.812 0.837 0.824 0.981 head 0.925 0.008 0.954 0.925 0.939 0.997 shin 0.901 0.023 0.869 0.901 0.885 0.99 thigh 0.833 0.026 0.846 0.833 0.839 0.983 upperarm 0.886 0.02 0.882 0.886 0.884 0.991 waist Weighted Avg. 0.869 0.022 0.87 0.869 0.869 0.988 === Confusion Matrix === a b c d e f g <-- classified as 700 10 26 2 28 30 11 | a = chest 20 535 34 3 8 12 36 | b = forearm 20 28 677 2 8 55 19 | c = head 1 2 3 747 48 3 4 | d = shin 27 2 12 18 729 12 9 | e = thigh 26 12 67 9 4 674 17 | f = upperarm 16 34 15 2 14 11 716 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4817 87.6137 % Incorrectly Classified Instances 681 12.3863 % Kappa statistic 0.8554 Mean absolute error 0.0716 Root mean squared error 0.169 Relative absolute error 29.2791 % Root relative squared error 48.3119 % Total Number of Instances 5498 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.881 0.019 0.891 0.881 0.886 0.991 chest 0.863 0.019 0.861 0.863 0.862 0.989 forearm 0.844 0.031 0.823 0.844 0.833 0.982 head 0.92 0.008 0.954 0.92 0.936 0.997 shin 0.879 0.02 0.882 0.879 0.88 0.987 thigh 0.842 0.024 0.86 0.842 0.851 0.984 upperarm 0.902 0.025 0.864 0.902 0.882 0.991 waist Weighted Avg. 0.876 0.021 0.877 0.876 0.876 0.989 === Confusion Matrix === a b c d e f g <-- classified as 711 13 25 2 27 20 9 | a = chest 12 559 14 1 7 5 50 | b = forearm 14 27 683 0 9 56 20 | c = head 1 2 3 743 41 8 10 | d = shin 21 15 14 26 711 12 10 | e = thigh 21 10 72 7 2 682 16 | f = upperarm 18 23 19 0 9 10 728 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 5 FOLD: 0 Correctly Classified Instances 4744 86.2702 % Incorrectly Classified Instances 755 13.7298 % Kappa statistic 0.8397 Mean absolute error 0.0726 Root mean squared error 0.1713 Relative absolute error 29.6705 % Root relative squared error 48.9674 % Total Number of Instances 5499 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.874 0.02 0.885 0.874 0.879 0.991 chest 0.817 0.024 0.822 0.817 0.819 0.987 forearm 0.813 0.037 0.79 0.813 0.801 0.979 head 0.947 0.011 0.939 0.947 0.943 0.997 shin 0.88 0.02 0.881 0.88 0.88 0.991 thigh 0.832 0.025 0.854 0.832 0.843 0.982 upperarm 0.868 0.024 0.862 0.868 0.865 0.988 waist Weighted Avg. 0.863 0.023 0.863 0.863 0.863 0.988 === Confusion Matrix === a b c d e f g <-- classified as 705 14 30 3 28 22 5 | a = chest 14 530 34 4 11 10 46 | b = forearm 21 31 658 3 13 59 24 | c = head 0 1 4 765 26 7 5 | d = shin 18 8 21 29 711 5 16 | e = thigh 27 19 64 8 2 674 16 | f = upperarm 12 42 22 3 16 12 701 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4748 86.343 % Incorrectly Classified Instances 751 13.657 % Kappa statistic 0.8406 Mean absolute error 0.0736 Root mean squared error 0.1736 Relative absolute error 30.082 % Root relative squared error 49.6384 % Total Number of Instances 5499 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.872 0.021 0.879 0.872 0.876 0.989 chest 0.837 0.025 0.815 0.837 0.826 0.985 forearm 0.81 0.034 0.806 0.81 0.808 0.976 head 0.947 0.01 0.941 0.947 0.944 0.995 shin 0.887 0.016 0.905 0.887 0.896 0.991 thigh 0.817 0.027 0.841 0.817 0.829 0.981 upperarm 0.869 0.027 0.849 0.869 0.859 0.987 waist Weighted Avg. 0.863 0.023 0.864 0.863 0.863 0.986 === Confusion Matrix === a b c d e f g <-- classified as 704 22 18 5 21 23 14 | a = chest 10 543 31 2 10 8 45 | b = forearm 20 38 655 4 10 57 25 | c = head 1 3 7 765 17 9 6 | d = shin 26 7 9 26 717 13 10 | e = thigh 28 13 71 6 5 662 25 | f = upperarm 12 40 22 5 12 15 702 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4755 86.4703 % Incorrectly Classified Instances 744 13.5297 % Kappa statistic 0.842 Mean absolute error 0.0736 Root mean squared error 0.1732 Relative absolute error 30.0943 % Root relative squared error 49.5217 % Total Number of Instances 5499 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.888 0.025 0.861 0.888 0.874 0.99 chest 0.838 0.021 0.845 0.838 0.841 0.988 forearm 0.854 0.038 0.795 0.854 0.824 0.98 head 0.905 0.005 0.969 0.905 0.936 0.993 shin 0.879 0.02 0.883 0.879 0.881 0.986 thigh 0.822 0.029 0.83 0.822 0.826 0.98 upperarm 0.861 0.021 0.878 0.861 0.869 0.989 waist Weighted Avg. 0.865 0.023 0.866 0.865 0.865 0.987 === Confusion Matrix === a b c d e f g <-- classified as 717 12 19 0 23 22 14 | a = chest 19 544 22 0 9 14 41 | b = forearm 16 27 691 0 5 60 10 | c = head 5 1 9 731 39 15 8 | d = shin 23 10 21 19 710 15 10 | e = thigh 30 10 82 3 5 666 14 | f = upperarm 23 40 25 1 13 10 696 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4757 86.5066 % Incorrectly Classified Instances 742 13.4934 % Kappa statistic 0.8424 Mean absolute error 0.0725 Root mean squared error 0.1714 Relative absolute error 29.6484 % Root relative squared error 49.0161 % Total Number of Instances 5499 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.865 0.021 0.876 0.865 0.87 0.987 chest 0.827 0.019 0.855 0.827 0.841 0.988 forearm 0.822 0.033 0.813 0.822 0.817 0.98 head 0.926 0.01 0.942 0.926 0.934 0.994 shin 0.892 0.02 0.884 0.892 0.888 0.99 thigh 0.828 0.026 0.844 0.828 0.836 0.982 upperarm 0.887 0.029 0.843 0.887 0.864 0.99 waist Weighted Avg. 0.865 0.023 0.865 0.865 0.865 0.987 === Confusion Matrix === a b c d e f g <-- classified as 698 10 22 4 20 31 22 | a = chest 17 537 23 3 14 5 50 | b = forearm 19 25 665 2 10 62 26 | c = head 2 1 8 748 36 7 6 | d = shin 19 6 11 26 721 11 14 | e = thigh 27 14 66 11 5 671 16 | f = upperarm 15 35 23 0 10 8 717 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4800 87.2886 % Incorrectly Classified Instances 699 12.7114 % Kappa statistic 0.8516 Mean absolute error 0.0722 Root mean squared error 0.1703 Relative absolute error 29.4887 % Root relative squared error 48.701 % Total Number of Instances 5499 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.866 0.022 0.872 0.866 0.869 0.988 chest 0.836 0.02 0.847 0.836 0.842 0.987 forearm 0.843 0.035 0.805 0.843 0.824 0.98 head 0.922 0.007 0.955 0.922 0.938 0.994 shin 0.905 0.017 0.901 0.905 0.903 0.991 thigh 0.848 0.025 0.856 0.848 0.852 0.985 upperarm 0.882 0.022 0.875 0.882 0.879 0.991 waist Weighted Avg. 0.873 0.021 0.874 0.873 0.873 0.988 === Confusion Matrix === a b c d e f g <-- classified as 699 10 31 1 24 25 17 | a = chest 13 542 29 2 7 11 44 | b = forearm 20 27 682 1 6 60 13 | c = head 1 7 11 745 36 7 1 | d = shin 22 8 10 21 732 5 11 | e = thigh 24 10 63 9 1 687 16 | f = upperarm 23 36 21 1 6 8 713 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4766 86.6861 % Incorrectly Classified Instances 732 13.3139 % Kappa statistic 0.8445 Mean absolute error 0.0741 Root mean squared error 0.1733 Relative absolute error 30.2656 % Root relative squared error 49.557 % Total Number of Instances 5498 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.874 0.021 0.878 0.874 0.876 0.988 chest 0.812 0.022 0.83 0.812 0.821 0.981 forearm 0.826 0.032 0.818 0.826 0.822 0.978 head 0.932 0.008 0.951 0.932 0.941 0.997 shin 0.881 0.021 0.877 0.881 0.879 0.989 thigh 0.823 0.025 0.851 0.823 0.837 0.983 upperarm 0.91 0.026 0.858 0.91 0.883 0.991 waist Weighted Avg. 0.867 0.022 0.867 0.867 0.867 0.987 === Confusion Matrix === a b c d e f g <-- classified as 705 21 25 0 24 21 11 | a = chest 18 526 31 2 21 15 35 | b = forearm 21 30 668 2 9 50 29 | c = head 1 3 3 753 29 10 9 | d = shin 19 10 7 24 713 15 21 | e = thigh 25 13 76 11 2 667 16 | f = upperarm 14 31 7 0 15 6 734 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4746 86.3223 % Incorrectly Classified Instances 752 13.6777 % Kappa statistic 0.8403 Mean absolute error 0.0747 Root mean squared error 0.1746 Relative absolute error 30.5292 % Root relative squared error 49.9304 % Total Number of Instances 5498 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.86 0.024 0.86 0.86 0.86 0.988 chest 0.835 0.024 0.822 0.835 0.828 0.986 forearm 0.821 0.028 0.833 0.821 0.827 0.978 head 0.911 0.009 0.944 0.911 0.927 0.994 shin 0.873 0.021 0.876 0.873 0.874 0.986 thigh 0.84 0.027 0.845 0.84 0.842 0.983 upperarm 0.899 0.026 0.858 0.899 0.878 0.99 waist Weighted Avg. 0.863 0.023 0.864 0.863 0.863 0.986 === Confusion Matrix === a b c d e f g <-- classified as 694 22 21 4 32 25 9 | a = chest 23 541 22 0 5 7 50 | b = forearm 17 39 663 2 9 61 17 | c = head 2 4 7 736 37 9 13 | d = shin 30 8 11 29 706 8 17 | e = thigh 25 14 67 6 4 680 14 | f = upperarm 16 30 5 3 13 15 726 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4813 87.5409 % Incorrectly Classified Instances 685 12.4591 % Kappa statistic 0.8545 Mean absolute error 0.0717 Root mean squared error 0.1692 Relative absolute error 29.2971 % Root relative squared error 48.377 % Total Number of Instances 5498 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.879 0.022 0.871 0.879 0.875 0.987 chest 0.813 0.019 0.85 0.813 0.831 0.983 forearm 0.845 0.032 0.818 0.845 0.832 0.982 head 0.943 0.008 0.951 0.943 0.947 0.995 shin 0.897 0.018 0.897 0.897 0.897 0.991 thigh 0.846 0.024 0.858 0.846 0.852 0.985 upperarm 0.892 0.021 0.878 0.892 0.885 0.989 waist Weighted Avg. 0.875 0.021 0.876 0.875 0.875 0.988 === Confusion Matrix === a b c d e f g <-- classified as 709 11 23 3 22 23 16 | a = chest 25 527 28 4 10 15 39 | b = forearm 19 24 684 2 10 53 17 | c = head 2 1 6 762 26 5 6 | d = shin 22 9 18 20 725 6 8 | e = thigh 27 13 61 8 2 685 14 | f = upperarm 10 35 16 2 13 11 721 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4766 86.6861 % Incorrectly Classified Instances 732 13.3139 % Kappa statistic 0.8445 Mean absolute error 0.0729 Root mean squared error 0.1721 Relative absolute error 29.7937 % Root relative squared error 49.1916 % Total Number of Instances 5498 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.862 0.021 0.878 0.862 0.87 0.988 chest 0.815 0.02 0.845 0.815 0.83 0.983 forearm 0.815 0.034 0.804 0.815 0.809 0.976 head 0.916 0.008 0.95 0.916 0.933 0.995 shin 0.907 0.02 0.887 0.907 0.897 0.99 thigh 0.838 0.025 0.852 0.838 0.845 0.984 upperarm 0.905 0.027 0.852 0.905 0.878 0.99 waist Weighted Avg. 0.867 0.022 0.867 0.867 0.867 0.987 === Confusion Matrix === a b c d e f g <-- classified as 696 17 26 1 24 30 13 | a = chest 24 529 32 4 9 12 39 | b = forearm 16 32 659 2 9 57 34 | c = head 1 2 13 740 36 7 9 | d = shin 17 6 7 22 733 7 16 | e = thigh 21 13 74 6 1 678 16 | f = upperarm 18 27 9 4 14 5 731 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4763 86.6315 % Incorrectly Classified Instances 735 13.3685 % Kappa statistic 0.8439 Mean absolute error 0.0731 Root mean squared error 0.1716 Relative absolute error 29.8876 % Root relative squared error 49.0479 % Total Number of Instances 5498 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.874 0.022 0.875 0.874 0.874 0.989 chest 0.835 0.024 0.824 0.835 0.829 0.987 forearm 0.854 0.037 0.801 0.854 0.827 0.979 head 0.915 0.007 0.956 0.915 0.935 0.995 shin 0.876 0.018 0.894 0.876 0.885 0.988 thigh 0.826 0.026 0.848 0.826 0.837 0.983 upperarm 0.879 0.023 0.868 0.879 0.873 0.99 waist Weighted Avg. 0.866 0.022 0.868 0.866 0.867 0.987 === Confusion Matrix === a b c d e f g <-- classified as 705 15 21 2 22 32 10 | a = chest 19 542 30 3 6 13 36 | b = forearm 18 30 691 0 3 39 28 | c = head 1 3 12 739 38 7 8 | d = shin 26 10 14 23 708 14 13 | e = thigh 22 16 83 5 2 668 13 | f = upperarm 15 42 12 1 13 15 710 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 6 FOLD: 0 Correctly Classified Instances 4750 86.3793 % Incorrectly Classified Instances 749 13.6207 % Kappa statistic 0.841 Mean absolute error 0.0739 Root mean squared error 0.1734 Relative absolute error 30.209 % Root relative squared error 49.5869 % Total Number of Instances 5499 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.854 0.022 0.87 0.854 0.862 0.985 chest 0.827 0.023 0.826 0.827 0.827 0.985 forearm 0.824 0.037 0.795 0.824 0.809 0.979 head 0.944 0.01 0.944 0.944 0.944 0.995 shin 0.892 0.017 0.9 0.892 0.896 0.992 thigh 0.809 0.026 0.842 0.809 0.825 0.981 upperarm 0.889 0.024 0.864 0.889 0.876 0.989 waist Weighted Avg. 0.864 0.023 0.864 0.864 0.864 0.987 === Confusion Matrix === a b c d e f g <-- classified as 689 13 32 4 21 33 15 | a = chest 15 537 35 0 11 11 40 | b = forearm 17 39 667 3 12 51 20 | c = head 2 5 4 763 24 6 4 | d = shin 17 9 11 30 721 11 9 | e = thigh 31 15 73 6 5 655 25 | f = upperarm 21 32 17 2 7 11 718 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4802 87.325 % Incorrectly Classified Instances 697 12.675 % Kappa statistic 0.852 Mean absolute error 0.0713 Root mean squared error 0.1683 Relative absolute error 29.1379 % Root relative squared error 48.1106 % Total Number of Instances 5499 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.89 0.018 0.895 0.89 0.892 0.992 chest 0.843 0.022 0.839 0.843 0.841 0.988 forearm 0.815 0.035 0.8 0.815 0.807 0.98 head 0.918 0.007 0.955 0.918 0.936 0.995 shin 0.905 0.017 0.9 0.905 0.902 0.992 thigh 0.847 0.027 0.845 0.847 0.846 0.982 upperarm 0.89 0.022 0.877 0.89 0.883 0.991 waist Weighted Avg. 0.873 0.021 0.874 0.873 0.874 0.988 === Confusion Matrix === a b c d e f g <-- classified as 718 12 23 1 20 19 14 | a = chest 16 547 33 2 7 10 34 | b = forearm 19 37 659 0 10 65 19 | c = head 0 4 9 742 37 8 8 | d = shin 20 5 11 19 731 10 12 | e = thigh 17 10 71 10 2 686 14 | f = upperarm 12 37 18 3 5 14 719 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4757 86.5066 % Incorrectly Classified Instances 742 13.4934 % Kappa statistic 0.8424 Mean absolute error 0.074 Root mean squared error 0.1735 Relative absolute error 30.2472 % Root relative squared error 49.5926 % Total Number of Instances 5499 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.87 0.022 0.872 0.87 0.871 0.987 chest 0.823 0.021 0.839 0.823 0.831 0.984 forearm 0.831 0.038 0.79 0.831 0.81 0.977 head 0.918 0.008 0.951 0.918 0.935 0.994 shin 0.878 0.019 0.891 0.878 0.884 0.989 thigh 0.826 0.026 0.847 0.826 0.836 0.982 upperarm 0.902 0.024 0.867 0.902 0.884 0.99 waist Weighted Avg. 0.865 0.023 0.866 0.865 0.865 0.986 === Confusion Matrix === a b c d e f g <-- classified as 702 15 34 5 17 24 10 | a = chest 25 533 29 2 11 14 34 | b = forearm 23 30 672 1 6 51 26 | c = head 0 1 11 742 37 10 7 | d = shin 14 11 23 23 710 13 15 | e = thigh 29 10 70 7 5 669 20 | f = upperarm 12 35 12 0 11 9 729 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4796 87.2159 % Incorrectly Classified Instances 703 12.7841 % Kappa statistic 0.8507 Mean absolute error 0.073 Root mean squared error 0.1713 Relative absolute error 29.8293 % Root relative squared error 48.97 % Total Number of Instances 5499 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.888 0.02 0.886 0.888 0.887 0.991 chest 0.832 0.017 0.865 0.832 0.848 0.986 forearm 0.839 0.034 0.809 0.839 0.824 0.979 head 0.913 0.009 0.949 0.913 0.931 0.995 shin 0.886 0.022 0.873 0.886 0.88 0.988 thigh 0.84 0.024 0.86 0.84 0.849 0.986 upperarm 0.899 0.024 0.866 0.899 0.882 0.99 waist Weighted Avg. 0.872 0.021 0.873 0.872 0.872 0.988 === Confusion Matrix === a b c d e f g <-- classified as 717 8 18 3 24 21 16 | a = chest 9 539 35 4 8 10 43 | b = forearm 20 25 679 1 10 55 19 | c = head 0 2 8 738 47 9 4 | d = shin 22 5 13 25 717 10 17 | e = thigh 27 11 68 6 5 680 13 | f = upperarm 14 33 18 1 10 6 726 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4782 86.9613 % Incorrectly Classified Instances 717 13.0387 % Kappa statistic 0.8478 Mean absolute error 0.0722 Root mean squared error 0.1708 Relative absolute error 29.4874 % Root relative squared error 48.8219 % Total Number of Instances 5499 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.87 0.023 0.869 0.87 0.869 0.99 chest 0.826 0.025 0.818 0.826 0.822 0.984 forearm 0.842 0.03 0.83 0.842 0.836 0.982 head 0.937 0.009 0.95 0.937 0.943 0.995 shin 0.888 0.019 0.889 0.888 0.888 0.988 thigh 0.836 0.024 0.858 0.836 0.847 0.981 upperarm 0.881 0.024 0.865 0.881 0.873 0.991 waist Weighted Avg. 0.87 0.022 0.87 0.87 0.87 0.987 === Confusion Matrix === a b c d e f g <-- classified as 702 20 24 0 23 27 11 | a = chest 27 535 20 2 8 8 48 | b = forearm 18 27 681 2 9 54 18 | c = head 1 1 5 757 35 6 3 | d = shin 22 10 8 23 718 13 15 | e = thigh 23 17 63 12 2 677 16 | f = upperarm 15 44 19 1 13 4 712 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4766 86.6861 % Incorrectly Classified Instances 732 13.3139 % Kappa statistic 0.8445 Mean absolute error 0.0734 Root mean squared error 0.1725 Relative absolute error 30.0018 % Root relative squared error 49.3218 % Total Number of Instances 5498 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.879 0.025 0.859 0.879 0.869 0.988 chest 0.835 0.023 0.828 0.835 0.832 0.986 forearm 0.823 0.03 0.826 0.823 0.825 0.979 head 0.929 0.009 0.947 0.929 0.938 0.996 shin 0.892 0.017 0.899 0.892 0.896 0.99 thigh 0.83 0.026 0.847 0.83 0.838 0.982 upperarm 0.874 0.026 0.855 0.874 0.864 0.99 waist Weighted Avg. 0.867 0.022 0.867 0.867 0.867 0.987 === Confusion Matrix === a b c d e f g <-- classified as 709 16 14 3 23 27 15 | a = chest 17 541 23 4 10 9 44 | b = forearm 29 25 666 1 6 54 28 | c = head 1 2 8 751 30 8 8 | d = shin 22 9 5 27 721 13 11 | e = thigh 31 12 73 5 3 672 14 | f = upperarm 16 48 17 2 9 10 706 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4736 86.1404 % Incorrectly Classified Instances 762 13.8596 % Kappa statistic 0.8381 Mean absolute error 0.0727 Root mean squared error 0.1732 Relative absolute error 29.712 % Root relative squared error 49.5307 % Total Number of Instances 5498 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.864 0.025 0.857 0.864 0.86 0.988 chest 0.801 0.02 0.843 0.801 0.821 0.983 forearm 0.813 0.036 0.795 0.813 0.804 0.977 head 0.928 0.008 0.954 0.928 0.941 0.996 shin 0.89 0.02 0.883 0.89 0.887 0.989 thigh 0.827 0.026 0.846 0.827 0.836 0.984 upperarm 0.895 0.027 0.852 0.895 0.873 0.988 waist Weighted Avg. 0.861 0.023 0.862 0.861 0.861 0.987 === Confusion Matrix === a b c d e f g <-- classified as 697 18 26 2 24 29 11 | a = chest 21 520 33 2 11 7 55 | b = forearm 17 34 658 5 7 60 28 | c = head 3 3 5 750 34 7 6 | d = shin 24 7 12 21 719 11 14 | e = thigh 30 15 75 4 4 669 12 | f = upperarm 21 20 19 2 15 8 723 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4743 86.2677 % Incorrectly Classified Instances 755 13.7323 % Kappa statistic 0.8397 Mean absolute error 0.0749 Root mean squared error 0.1739 Relative absolute error 30.6133 % Root relative squared error 49.714 % Total Number of Instances 5498 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.853 0.022 0.87 0.853 0.861 0.987 chest 0.823 0.024 0.823 0.823 0.823 0.985 forearm 0.841 0.035 0.804 0.841 0.822 0.979 head 0.928 0.008 0.953 0.928 0.94 0.996 shin 0.894 0.02 0.887 0.894 0.89 0.989 thigh 0.834 0.029 0.831 0.834 0.833 0.984 upperarm 0.859 0.022 0.869 0.859 0.864 0.988 waist Weighted Avg. 0.863 0.023 0.863 0.863 0.863 0.987 === Confusion Matrix === a b c d e f g <-- classified as 688 21 26 1 25 32 14 | a = chest 20 534 29 5 5 13 43 | b = forearm 16 36 680 0 6 50 21 | c = head 2 1 2 750 33 14 6 | d = shin 20 11 12 22 722 14 7 | e = thigh 23 9 76 5 7 675 14 | f = upperarm 22 37 21 4 16 14 694 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4746 86.3223 % Incorrectly Classified Instances 752 13.6777 % Kappa statistic 0.8403 Mean absolute error 0.0741 Root mean squared error 0.173 Relative absolute error 30.2667 % Root relative squared error 49.4684 % Total Number of Instances 5498 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.871 0.023 0.865 0.871 0.868 0.988 chest 0.826 0.024 0.825 0.826 0.825 0.985 forearm 0.832 0.037 0.793 0.832 0.812 0.982 head 0.921 0.009 0.945 0.921 0.933 0.994 shin 0.887 0.018 0.896 0.887 0.892 0.99 thigh 0.809 0.027 0.837 0.809 0.822 0.981 upperarm 0.89 0.021 0.879 0.89 0.884 0.99 waist Weighted Avg. 0.863 0.023 0.864 0.863 0.863 0.987 === Confusion Matrix === a b c d e f g <-- classified as 703 18 21 2 26 23 14 | a = chest 18 536 27 3 15 9 41 | b = forearm 21 30 672 4 3 61 17 | c = head 1 1 13 744 29 15 5 | d = shin 26 6 19 23 717 9 8 | e = thigh 26 17 86 10 2 655 14 | f = upperarm 18 42 9 1 8 11 719 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4778 86.9043 % Incorrectly Classified Instances 720 13.0957 % Kappa statistic 0.8471 Mean absolute error 0.072 Root mean squared error 0.1701 Relative absolute error 29.4136 % Root relative squared error 48.6343 % Total Number of Instances 5498 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.88 0.023 0.869 0.88 0.874 0.988 chest 0.82 0.019 0.85 0.82 0.835 0.988 forearm 0.822 0.034 0.808 0.822 0.815 0.98 head 0.934 0.01 0.943 0.934 0.938 0.995 shin 0.894 0.017 0.9 0.894 0.897 0.991 thigh 0.838 0.025 0.855 0.838 0.847 0.983 upperarm 0.886 0.026 0.856 0.886 0.871 0.989 waist Weighted Avg. 0.869 0.022 0.869 0.869 0.869 0.988 === Confusion Matrix === a b c d e f g <-- classified as 710 17 18 3 22 20 17 | a = chest 18 532 30 2 12 8 47 | b = forearm 22 28 665 5 5 65 19 | c = head 6 2 6 755 26 3 10 | d = shin 22 6 13 26 722 6 13 | e = thigh 29 11 65 9 3 679 14 | f = upperarm 10 30 26 1 12 13 715 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 7 FOLD: 0 Correctly Classified Instances 4741 86.2157 % Incorrectly Classified Instances 758 13.7843 % Kappa statistic 0.839 Mean absolute error 0.0745 Root mean squared error 0.1742 Relative absolute error 30.4648 % Root relative squared error 49.7993 % Total Number of Instances 5499 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.865 0.022 0.871 0.865 0.868 0.986 chest 0.812 0.024 0.821 0.812 0.816 0.983 forearm 0.82 0.036 0.796 0.82 0.808 0.977 head 0.936 0.007 0.956 0.936 0.946 0.995 shin 0.889 0.014 0.914 0.889 0.901 0.989 thigh 0.831 0.029 0.83 0.831 0.83 0.984 upperarm 0.874 0.027 0.846 0.874 0.859 0.989 waist Weighted Avg. 0.862 0.023 0.863 0.862 0.862 0.986 === Confusion Matrix === a b c d e f g <-- classified as 698 19 30 2 13 31 14 | a = chest 20 526 29 3 11 11 48 | b = forearm 13 30 663 3 8 64 28 | c = head 1 2 6 756 26 9 8 | d = shin 15 13 13 23 719 13 13 | e = thigh 29 10 73 4 3 673 18 | f = upperarm 25 41 19 0 7 10 706 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4755 86.4703 % Incorrectly Classified Instances 744 13.5297 % Kappa statistic 0.842 Mean absolute error 0.074 Root mean squared error 0.1734 Relative absolute error 30.2323 % Root relative squared error 49.5775 % Total Number of Instances 5499 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.885 0.023 0.867 0.885 0.876 0.988 chest 0.819 0.022 0.831 0.819 0.825 0.983 forearm 0.844 0.035 0.807 0.844 0.825 0.982 head 0.912 0.011 0.935 0.912 0.924 0.995 shin 0.885 0.021 0.88 0.885 0.882 0.989 thigh 0.821 0.024 0.854 0.821 0.837 0.984 upperarm 0.877 0.021 0.876 0.877 0.877 0.989 waist Weighted Avg. 0.865 0.023 0.865 0.865 0.865 0.987 === Confusion Matrix === a b c d e f g <-- classified as 714 16 23 1 24 17 12 | a = chest 22 531 34 6 8 17 30 | b = forearm 23 23 683 2 5 51 22 | c = head 2 5 6 737 42 7 9 | d = shin 19 13 9 29 716 10 13 | e = thigh 29 13 74 11 4 665 14 | f = upperarm 15 38 17 2 15 12 709 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4752 86.4157 % Incorrectly Classified Instances 747 13.5843 % Kappa statistic 0.8414 Mean absolute error 0.0727 Root mean squared error 0.1723 Relative absolute error 29.7217 % Root relative squared error 49.2719 % Total Number of Instances 5499 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.843 0.021 0.875 0.843 0.859 0.986 chest 0.829 0.022 0.834 0.829 0.832 0.985 forearm 0.829 0.036 0.798 0.829 0.813 0.978 head 0.934 0.009 0.95 0.934 0.942 0.997 shin 0.902 0.02 0.887 0.902 0.895 0.99 thigh 0.809 0.026 0.842 0.809 0.825 0.983 upperarm 0.896 0.025 0.861 0.896 0.878 0.991 waist Weighted Avg. 0.864 0.023 0.865 0.864 0.864 0.987 === Confusion Matrix === a b c d e f g <-- classified as 680 15 34 2 28 29 19 | a = chest 17 538 23 1 13 11 46 | b = forearm 19 26 670 1 10 66 16 | c = head 1 2 6 755 30 6 8 | d = shin 20 9 14 24 730 3 9 | e = thigh 26 20 80 8 2 655 19 | f = upperarm 14 35 13 4 10 8 724 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4767 86.6885 % Incorrectly Classified Instances 732 13.3115 % Kappa statistic 0.8446 Mean absolute error 0.0722 Root mean squared error 0.1706 Relative absolute error 29.4909 % Root relative squared error 48.7673 % Total Number of Instances 5499 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.857 0.024 0.86 0.857 0.859 0.987 chest 0.838 0.023 0.831 0.838 0.834 0.988 forearm 0.813 0.031 0.819 0.813 0.816 0.979 head 0.939 0.008 0.951 0.939 0.945 0.995 shin 0.89 0.019 0.891 0.89 0.89 0.989 thigh 0.842 0.028 0.839 0.842 0.84 0.984 upperarm 0.882 0.022 0.872 0.882 0.877 0.99 waist Weighted Avg. 0.867 0.022 0.867 0.867 0.867 0.987 === Confusion Matrix === a b c d e f g <-- classified as 692 10 26 2 29 34 14 | a = chest 13 544 26 3 13 10 40 | b = forearm 12 40 658 3 7 69 20 | c = head 3 3 5 759 24 4 10 | d = shin 29 9 13 21 719 7 10 | e = thigh 34 14 54 9 6 682 11 | f = upperarm 22 35 21 1 9 7 713 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4750 86.3793 % Incorrectly Classified Instances 749 13.6207 % Kappa statistic 0.8409 Mean absolute error 0.0727 Root mean squared error 0.172 Relative absolute error 29.7206 % Root relative squared error 49.1797 % Total Number of Instances 5499 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.877 0.023 0.869 0.877 0.873 0.99 chest 0.835 0.019 0.856 0.835 0.846 0.987 forearm 0.813 0.04 0.777 0.813 0.795 0.976 head 0.918 0.006 0.965 0.918 0.941 0.994 shin 0.885 0.018 0.893 0.885 0.889 0.99 thigh 0.81 0.031 0.82 0.81 0.815 0.982 upperarm 0.902 0.022 0.874 0.902 0.888 0.99 waist Weighted Avg. 0.864 0.023 0.865 0.864 0.864 0.987 === Confusion Matrix === a b c d e f g <-- classified as 708 12 26 0 21 28 12 | a = chest 14 542 31 1 13 10 38 | b = forearm 22 35 658 1 9 62 22 | c = head 0 1 14 742 31 16 4 | d = shin 29 8 14 19 715 17 6 | e = thigh 27 12 85 5 2 656 23 | f = upperarm 15 23 19 1 10 11 729 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4771 86.777 % Incorrectly Classified Instances 727 13.223 % Kappa statistic 0.8456 Mean absolute error 0.0733 Root mean squared error 0.173 Relative absolute error 29.9736 % Root relative squared error 49.4689 % Total Number of Instances 5498 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.881 0.024 0.862 0.881 0.871 0.989 chest 0.826 0.019 0.855 0.826 0.84 0.985 forearm 0.842 0.031 0.822 0.842 0.832 0.98 head 0.927 0.008 0.952 0.927 0.939 0.996 shin 0.873 0.018 0.895 0.873 0.883 0.988 thigh 0.818 0.027 0.839 0.818 0.829 0.979 upperarm 0.9 0.027 0.851 0.9 0.875 0.99 waist Weighted Avg. 0.868 0.022 0.868 0.868 0.868 0.987 === Confusion Matrix === a b c d e f g <-- classified as 711 10 17 2 24 25 18 | a = chest 23 536 36 0 10 9 35 | b = forearm 16 23 681 3 7 56 23 | c = head 3 4 8 749 26 8 10 | d = shin 23 9 11 24 705 17 19 | e = thigh 37 13 65 7 3 662 22 | f = upperarm 12 32 10 2 13 12 727 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4796 87.2317 % Incorrectly Classified Instances 702 12.7683 % Kappa statistic 0.8509 Mean absolute error 0.0723 Root mean squared error 0.1707 Relative absolute error 29.5631 % Root relative squared error 48.8079 % Total Number of Instances 5498 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.885 0.02 0.886 0.885 0.885 0.989 chest 0.829 0.025 0.818 0.829 0.823 0.986 forearm 0.822 0.029 0.832 0.822 0.827 0.98 head 0.921 0.007 0.96 0.921 0.94 0.995 shin 0.889 0.018 0.893 0.889 0.891 0.987 thigh 0.854 0.026 0.849 0.854 0.852 0.982 upperarm 0.899 0.025 0.862 0.899 0.88 0.991 waist Weighted Avg. 0.872 0.021 0.873 0.872 0.873 0.987 === Confusion Matrix === a b c d e f g <-- classified as 714 20 17 3 19 26 8 | a = chest 16 538 22 3 6 12 52 | b = forearm 21 37 665 2 9 56 19 | c = head 0 5 8 744 37 10 4 | d = shin 25 8 12 17 718 11 17 | e = thigh 16 17 63 4 2 691 16 | f = upperarm 14 33 12 2 13 8 726 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4773 86.8134 % Incorrectly Classified Instances 725 13.1866 % Kappa statistic 0.846 Mean absolute error 0.0731 Root mean squared error 0.1722 Relative absolute error 29.8668 % Root relative squared error 49.2179 % Total Number of Instances 5498 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.871 0.025 0.859 0.871 0.865 0.989 chest 0.824 0.023 0.828 0.824 0.826 0.985 forearm 0.848 0.031 0.825 0.848 0.836 0.98 head 0.918 0.008 0.95 0.918 0.934 0.994 shin 0.895 0.021 0.88 0.895 0.887 0.99 thigh 0.837 0.025 0.854 0.837 0.845 0.983 upperarm 0.875 0.021 0.877 0.875 0.876 0.99 waist Weighted Avg. 0.868 0.022 0.869 0.868 0.868 0.987 === Confusion Matrix === a b c d e f g <-- classified as 703 16 16 2 25 31 14 | a = chest 19 535 26 3 9 13 44 | b = forearm 20 26 686 3 8 43 23 | c = head 3 0 8 742 42 12 1 | d = shin 28 7 11 22 723 8 9 | e = thigh 27 15 70 6 6 678 8 | f = upperarm 18 47 15 3 9 9 706 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4776 86.868 % Incorrectly Classified Instances 722 13.132 % Kappa statistic 0.8466 Mean absolute error 0.0729 Root mean squared error 0.1717 Relative absolute error 29.8115 % Root relative squared error 49.0772 % Total Number of Instances 5498 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.896 0.02 0.886 0.896 0.891 0.991 chest 0.806 0.021 0.834 0.806 0.819 0.985 forearm 0.817 0.036 0.795 0.817 0.806 0.977 head 0.949 0.008 0.955 0.949 0.952 0.996 shin 0.876 0.016 0.904 0.876 0.89 0.989 thigh 0.836 0.024 0.858 0.836 0.847 0.984 upperarm 0.889 0.028 0.845 0.889 0.866 0.99 waist Weighted Avg. 0.869 0.022 0.869 0.869 0.869 0.987 === Confusion Matrix === a b c d e f g <-- classified as 723 11 20 2 20 21 10 | a = chest 15 522 31 3 8 10 59 | b = forearm 24 38 661 2 9 47 28 | c = head 1 0 3 767 27 5 5 | d = shin 24 8 18 21 708 14 15 | e = thigh 18 10 82 7 1 677 15 | f = upperarm 11 37 16 1 10 15 718 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4778 86.9043 % Incorrectly Classified Instances 720 13.0957 % Kappa statistic 0.8471 Mean absolute error 0.0721 Root mean squared error 0.1709 Relative absolute error 29.4845 % Root relative squared error 48.8622 % Total Number of Instances 5498 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.881 0.023 0.867 0.881 0.874 0.989 chest 0.83 0.023 0.829 0.83 0.83 0.986 forearm 0.824 0.031 0.821 0.824 0.823 0.979 head 0.911 0.007 0.955 0.911 0.932 0.993 shin 0.901 0.021 0.882 0.901 0.892 0.99 thigh 0.841 0.028 0.839 0.841 0.84 0.983 upperarm 0.887 0.02 0.886 0.887 0.887 0.991 waist Weighted Avg. 0.869 0.022 0.87 0.869 0.869 0.987 === Confusion Matrix === a b c d e f g <-- classified as 711 9 22 1 24 26 14 | a = chest 18 538 27 2 16 13 34 | b = forearm 19 38 667 0 7 60 18 | c = head 0 5 10 736 38 12 7 | d = shin 19 10 11 23 728 7 10 | e = thigh 33 16 59 9 3 681 9 | f = upperarm 20 33 16 0 9 13 717 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 8 FOLD: 0 Correctly Classified Instances 4751 86.3975 % Incorrectly Classified Instances 748 13.6025 % Kappa statistic 0.8412 Mean absolute error 0.0731 Root mean squared error 0.172 Relative absolute error 29.8845 % Root relative squared error 49.1677 % Total Number of Instances 5499 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.864 0.022 0.869 0.864 0.866 0.987 chest 0.837 0.019 0.854 0.837 0.845 0.988 forearm 0.808 0.033 0.807 0.808 0.808 0.979 head 0.934 0.01 0.941 0.934 0.938 0.996 shin 0.885 0.022 0.875 0.885 0.88 0.99 thigh 0.809 0.031 0.817 0.809 0.813 0.981 upperarm 0.906 0.021 0.882 0.906 0.894 0.991 waist Weighted Avg. 0.864 0.023 0.864 0.864 0.864 0.987 === Confusion Matrix === a b c d e f g <-- classified as 697 15 17 2 30 33 13 | a = chest 8 543 37 2 10 11 38 | b = forearm 20 28 654 2 16 74 15 | c = head 0 4 4 755 36 8 1 | d = shin 25 6 11 26 715 11 14 | e = thigh 30 19 77 12 0 655 17 | f = upperarm 22 21 10 3 10 10 732 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4755 86.4703 % Incorrectly Classified Instances 744 13.5297 % Kappa statistic 0.842 Mean absolute error 0.0729 Root mean squared error 0.1727 Relative absolute error 29.7939 % Root relative squared error 49.3782 % Total Number of Instances 5499 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.887 0.024 0.866 0.887 0.876 0.989 chest 0.81 0.023 0.823 0.81 0.817 0.984 forearm 0.832 0.033 0.811 0.832 0.821 0.98 head 0.92 0.009 0.949 0.92 0.934 0.995 shin 0.896 0.021 0.881 0.896 0.888 0.989 thigh 0.823 0.022 0.866 0.823 0.844 0.984 upperarm 0.874 0.026 0.853 0.874 0.863 0.987 waist Weighted Avg. 0.865 0.023 0.865 0.865 0.865 0.987 === Confusion Matrix === a b c d e f g <-- classified as 716 14 19 3 20 24 11 | a = chest 24 526 25 1 13 8 52 | b = forearm 17 34 673 3 9 46 27 | c = head 3 5 6 743 36 10 5 | d = shin 23 9 9 23 724 8 12 | e = thigh 22 14 78 8 6 667 15 | f = upperarm 22 37 20 2 14 7 706 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4749 86.3612 % Incorrectly Classified Instances 750 13.6388 % Kappa statistic 0.8407 Mean absolute error 0.0737 Root mean squared error 0.1736 Relative absolute error 30.1347 % Root relative squared error 49.6307 % Total Number of Instances 5499 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.866 0.025 0.858 0.866 0.862 0.988 chest 0.832 0.021 0.84 0.832 0.836 0.983 forearm 0.818 0.034 0.807 0.818 0.813 0.978 head 0.928 0.009 0.949 0.928 0.939 0.996 shin 0.894 0.021 0.88 0.894 0.887 0.99 thigh 0.828 0.027 0.84 0.828 0.834 0.98 upperarm 0.873 0.023 0.868 0.873 0.87 0.989 waist Weighted Avg. 0.864 0.023 0.864 0.864 0.864 0.986 === Confusion Matrix === a b c d e f g <-- classified as 699 18 22 4 31 22 11 | a = chest 23 540 25 3 8 14 36 | b = forearm 16 31 662 3 12 63 22 | c = head 1 2 7 750 32 8 8 | d = shin 21 6 11 21 722 15 12 | e = thigh 28 7 76 8 2 671 18 | f = upperarm 27 39 17 1 13 6 705 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4755 86.4703 % Incorrectly Classified Instances 744 13.5297 % Kappa statistic 0.842 Mean absolute error 0.0749 Root mean squared error 0.1741 Relative absolute error 30.6022 % Root relative squared error 49.7824 % Total Number of Instances 5499 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.857 0.023 0.867 0.857 0.862 0.985 chest 0.832 0.026 0.81 0.832 0.821 0.982 forearm 0.836 0.036 0.799 0.836 0.817 0.978 head 0.946 0.007 0.96 0.946 0.953 0.996 shin 0.89 0.016 0.908 0.89 0.899 0.988 thigh 0.821 0.027 0.841 0.821 0.831 0.982 upperarm 0.865 0.023 0.864 0.865 0.865 0.988 waist Weighted Avg. 0.865 0.022 0.866 0.865 0.865 0.986 === Confusion Matrix === a b c d e f g <-- classified as 692 26 29 1 12 28 19 | a = chest 23 540 25 2 12 8 39 | b = forearm 18 37 676 3 4 52 19 | c = head 1 1 8 764 24 7 3 | d = shin 22 4 13 21 719 12 17 | e = thigh 29 19 74 4 6 665 13 | f = upperarm 13 40 21 1 15 19 699 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4714 85.7247 % Incorrectly Classified Instances 785 14.2753 % Kappa statistic 0.8333 Mean absolute error 0.0736 Root mean squared error 0.1734 Relative absolute error 30.0633 % Root relative squared error 49.5781 % Total Number of Instances 5499 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.869 0.023 0.869 0.869 0.869 0.99 chest 0.792 0.022 0.825 0.792 0.808 0.985 forearm 0.828 0.037 0.794 0.828 0.81 0.979 head 0.908 0.008 0.952 0.908 0.93 0.994 shin 0.881 0.023 0.87 0.881 0.875 0.987 thigh 0.819 0.025 0.849 0.819 0.833 0.983 upperarm 0.891 0.029 0.843 0.891 0.866 0.991 waist Weighted Avg. 0.857 0.024 0.858 0.857 0.857 0.987 === Confusion Matrix === a b c d e f g <-- classified as 701 15 18 2 28 24 19 | a = chest 23 514 40 2 9 8 53 | b = forearm 18 30 669 2 10 53 26 | c = head 3 1 8 734 41 14 7 | d = shin 25 8 11 26 713 7 19 | e = thigh 25 16 87 2 7 663 10 | f = upperarm 12 39 10 3 12 12 720 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4782 86.9771 % Incorrectly Classified Instances 716 13.0229 % Kappa statistic 0.8479 Mean absolute error 0.0735 Root mean squared error 0.1729 Relative absolute error 30.045 % Root relative squared error 49.4175 % Total Number of Instances 5498 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.893 0.02 0.887 0.893 0.89 0.989 chest 0.827 0.021 0.843 0.827 0.835 0.987 forearm 0.834 0.036 0.802 0.834 0.818 0.978 head 0.913 0.01 0.941 0.913 0.927 0.992 shin 0.89 0.016 0.907 0.89 0.898 0.989 thigh 0.828 0.028 0.839 0.828 0.833 0.983 upperarm 0.893 0.023 0.87 0.893 0.881 0.991 waist Weighted Avg. 0.87 0.022 0.87 0.87 0.87 0.987 === Confusion Matrix === a b c d e f g <-- classified as 721 9 25 3 16 24 9 | a = chest 22 537 23 5 8 10 44 | b = forearm 15 29 675 3 4 61 22 | c = head 2 5 6 738 37 10 10 | d = shin 22 5 13 26 720 14 9 | e = thigh 24 13 82 6 0 670 14 | f = upperarm 7 39 18 3 9 10 721 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4797 87.2499 % Incorrectly Classified Instances 701 12.7501 % Kappa statistic 0.8511 Mean absolute error 0.0712 Root mean squared error 0.1693 Relative absolute error 29.0918 % Root relative squared error 48.4014 % Total Number of Instances 5498 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.866 0.022 0.873 0.866 0.869 0.988 chest 0.867 0.021 0.846 0.867 0.857 0.988 forearm 0.821 0.032 0.814 0.821 0.817 0.98 head 0.933 0.007 0.957 0.933 0.945 0.996 shin 0.895 0.02 0.884 0.895 0.889 0.99 thigh 0.838 0.025 0.855 0.838 0.846 0.982 upperarm 0.886 0.022 0.876 0.886 0.881 0.991 waist Weighted Avg. 0.872 0.021 0.873 0.872 0.873 0.988 === Confusion Matrix === a b c d e f g <-- classified as 699 13 27 2 29 27 10 | a = chest 20 562 18 0 7 9 32 | b = forearm 25 32 664 1 8 55 24 | c = head 0 1 6 754 32 11 4 | d = shin 18 7 20 21 724 5 14 | e = thigh 20 15 63 8 8 678 17 | f = upperarm 19 34 18 2 11 8 716 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4768 86.7224 % Incorrectly Classified Instances 730 13.2776 % Kappa statistic 0.845 Mean absolute error 0.0736 Root mean squared error 0.173 Relative absolute error 30.0704 % Root relative squared error 49.4702 % Total Number of Instances 5498 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.884 0.02 0.881 0.884 0.882 0.991 chest 0.849 0.025 0.822 0.849 0.835 0.985 forearm 0.816 0.031 0.818 0.816 0.817 0.977 head 0.925 0.009 0.944 0.925 0.934 0.993 shin 0.875 0.015 0.911 0.875 0.893 0.989 thigh 0.831 0.029 0.832 0.831 0.831 0.982 upperarm 0.889 0.025 0.858 0.889 0.873 0.989 waist Weighted Avg. 0.867 0.022 0.868 0.867 0.867 0.987 === Confusion Matrix === a b c d e f g <-- classified as 713 18 20 2 19 27 8 | a = chest 8 550 27 2 5 14 42 | b = forearm 18 36 660 0 6 61 28 | c = head 2 2 3 747 31 13 10 | d = shin 19 10 16 30 707 11 15 | e = thigh 29 15 66 9 2 673 16 | f = upperarm 20 38 15 1 6 10 718 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4800 87.3045 % Incorrectly Classified Instances 698 12.6955 % Kappa statistic 0.8518 Mean absolute error 0.072 Root mean squared error 0.1697 Relative absolute error 29.4235 % Root relative squared error 48.5162 % Total Number of Instances 5498 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.876 0.021 0.876 0.876 0.876 0.989 chest 0.829 0.022 0.833 0.829 0.831 0.986 forearm 0.859 0.034 0.815 0.859 0.836 0.981 head 0.938 0.006 0.962 0.938 0.95 0.997 shin 0.897 0.017 0.9 0.897 0.898 0.992 thigh 0.817 0.024 0.855 0.817 0.836 0.982 upperarm 0.886 0.023 0.868 0.886 0.877 0.99 waist Weighted Avg. 0.873 0.021 0.874 0.873 0.873 0.988 === Confusion Matrix === a b c d e f g <-- classified as 707 8 24 0 28 25 15 | a = chest 15 537 30 2 16 14 34 | b = forearm 18 29 695 1 4 49 13 | c = head 1 2 8 758 21 6 12 | d = shin 22 9 13 19 725 8 12 | e = thigh 32 20 64 8 1 662 23 | f = upperarm 12 40 19 0 11 10 716 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4806 87.4136 % Incorrectly Classified Instances 692 12.5864 % Kappa statistic 0.853 Mean absolute error 0.0715 Root mean squared error 0.169 Relative absolute error 29.215 % Root relative squared error 48.3179 % Total Number of Instances 5498 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.869 0.021 0.876 0.869 0.872 0.988 chest 0.819 0.023 0.825 0.819 0.822 0.984 forearm 0.841 0.032 0.82 0.841 0.83 0.981 head 0.936 0.007 0.958 0.936 0.947 0.995 shin 0.885 0.018 0.896 0.885 0.89 0.988 thigh 0.859 0.022 0.869 0.859 0.864 0.987 upperarm 0.9 0.023 0.869 0.9 0.884 0.991 waist Weighted Avg. 0.874 0.021 0.875 0.874 0.874 0.988 === Confusion Matrix === a b c d e f g <-- classified as 701 21 26 2 23 17 17 | a = chest 19 531 33 1 11 7 46 | b = forearm 18 33 680 3 9 50 16 | c = head 0 2 9 756 28 10 3 | d = shin 25 13 14 17 715 12 12 | e = thigh 27 11 47 10 3 696 16 | f = upperarm 10 33 20 0 9 9 727 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 9 FOLD: 0 Correctly Classified Instances 4781 86.9431 % Incorrectly Classified Instances 718 13.0569 % Kappa statistic 0.8475 Mean absolute error 0.0724 Root mean squared error 0.1711 Relative absolute error 29.5777 % Root relative squared error 48.9306 % Total Number of Instances 5499 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.882 0.021 0.88 0.882 0.881 0.989 chest 0.824 0.02 0.845 0.824 0.835 0.984 forearm 0.82 0.034 0.808 0.82 0.813 0.978 head 0.928 0.008 0.953 0.928 0.94 0.995 shin 0.884 0.017 0.902 0.884 0.893 0.989 thigh 0.858 0.028 0.843 0.858 0.851 0.986 upperarm 0.881 0.026 0.855 0.881 0.868 0.988 waist Weighted Avg. 0.869 0.022 0.87 0.869 0.87 0.987 === Confusion Matrix === a b c d e f g <-- classified as 712 17 26 1 20 18 13 | a = chest 19 535 27 1 12 6 49 | b = forearm 28 26 663 2 6 61 23 | c = head 2 2 7 750 27 13 7 | d = shin 19 11 15 21 714 11 17 | e = thigh 17 15 60 8 3 695 12 | f = upperarm 12 27 23 4 10 20 712 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4794 87.1795 % Incorrectly Classified Instances 705 12.8205 % Kappa statistic 0.8503 Mean absolute error 0.0715 Root mean squared error 0.1688 Relative absolute error 29.2129 % Root relative squared error 48.2683 % Total Number of Instances 5499 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.872 0.019 0.888 0.872 0.88 0.99 chest 0.82 0.023 0.825 0.82 0.822 0.985 forearm 0.833 0.034 0.807 0.833 0.82 0.983 head 0.936 0.007 0.959 0.936 0.947 0.996 shin 0.896 0.019 0.893 0.896 0.894 0.99 thigh 0.846 0.024 0.861 0.846 0.853 0.984 upperarm 0.89 0.024 0.865 0.89 0.877 0.99 waist Weighted Avg. 0.872 0.021 0.872 0.872 0.872 0.988 === Confusion Matrix === a b c d e f g <-- classified as 704 18 26 3 26 15 15 | a = chest 15 532 28 4 14 11 45 | b = forearm 11 36 674 1 6 59 22 | c = head 1 4 4 756 31 7 5 | d = shin 21 8 15 19 724 9 12 | e = thigh 24 12 69 5 2 685 13 | f = upperarm 17 35 19 0 8 10 719 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4759 86.543 % Incorrectly Classified Instances 740 13.457 % Kappa statistic 0.8428 Mean absolute error 0.0718 Root mean squared error 0.1708 Relative absolute error 29.3312 % Root relative squared error 48.8374 % Total Number of Instances 5499 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.872 0.02 0.883 0.872 0.878 0.989 chest 0.818 0.02 0.847 0.818 0.832 0.987 forearm 0.837 0.042 0.776 0.837 0.805 0.979 head 0.928 0.009 0.949 0.928 0.939 0.996 shin 0.889 0.018 0.897 0.889 0.893 0.99 thigh 0.817 0.026 0.844 0.817 0.83 0.981 upperarm 0.887 0.024 0.866 0.887 0.877 0.99 waist Weighted Avg. 0.865 0.023 0.867 0.865 0.866 0.987 === Confusion Matrix === a b c d e f g <-- classified as 704 8 31 5 17 28 14 | a = chest 23 531 33 1 12 9 40 | b = forearm 17 28 677 0 5 60 22 | c = head 1 4 9 750 33 8 3 | d = shin 16 7 16 28 719 11 12 | e = thigh 18 12 87 5 6 661 20 | f = upperarm 18 37 19 1 10 6 717 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4748 86.343 % Incorrectly Classified Instances 751 13.657 % Kappa statistic 0.8405 Mean absolute error 0.0743 Root mean squared error 0.1731 Relative absolute error 30.3474 % Root relative squared error 49.4876 % Total Number of Instances 5499 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.888 0.028 0.844 0.888 0.865 0.99 chest 0.838 0.022 0.837 0.838 0.838 0.985 forearm 0.82 0.033 0.81 0.82 0.814 0.978 head 0.923 0.007 0.96 0.923 0.941 0.992 shin 0.886 0.019 0.887 0.886 0.887 0.991 thigh 0.805 0.026 0.84 0.805 0.822 0.983 upperarm 0.879 0.023 0.866 0.879 0.872 0.99 waist Weighted Avg. 0.863 0.023 0.864 0.863 0.864 0.987 === Confusion Matrix === a b c d e f g <-- classified as 717 13 17 0 24 21 15 | a = chest 26 544 26 1 11 11 30 | b = forearm 19 30 663 3 8 61 25 | c = head 4 7 8 746 30 7 6 | d = shin 27 9 10 21 717 10 15 | e = thigh 37 14 80 6 2 651 19 | f = upperarm 20 33 15 0 16 14 710 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4749 86.3612 % Incorrectly Classified Instances 750 13.6388 % Kappa statistic 0.8407 Mean absolute error 0.0741 Root mean squared error 0.174 Relative absolute error 30.2708 % Root relative squared error 49.7569 % Total Number of Instances 5499 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.875 0.023 0.866 0.875 0.871 0.987 chest 0.8 0.019 0.848 0.8 0.823 0.985 forearm 0.814 0.035 0.801 0.814 0.808 0.979 head 0.918 0.01 0.939 0.918 0.929 0.995 shin 0.888 0.021 0.879 0.888 0.883 0.988 thigh 0.836 0.028 0.837 0.836 0.836 0.981 upperarm 0.902 0.023 0.873 0.902 0.887 0.992 waist Weighted Avg. 0.864 0.023 0.864 0.864 0.864 0.987 === Confusion Matrix === a b c d e f g <-- classified as 706 11 21 2 31 23 13 | a = chest 21 519 43 5 11 10 40 | b = forearm 30 23 658 4 7 65 21 | c = head 2 1 7 742 38 10 8 | d = shin 19 9 12 27 718 15 9 | e = thigh 24 15 68 8 3 677 15 | f = upperarm 13 34 12 2 9 9 729 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4744 86.2859 % Incorrectly Classified Instances 754 13.7141 % Kappa statistic 0.8399 Mean absolute error 0.0733 Root mean squared error 0.1728 Relative absolute error 29.9553 % Root relative squared error 49.3968 % Total Number of Instances 5498 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.884 0.023 0.866 0.884 0.875 0.988 chest 0.821 0.021 0.836 0.821 0.829 0.986 forearm 0.803 0.036 0.792 0.803 0.798 0.977 head 0.92 0.009 0.945 0.92 0.932 0.996 shin 0.882 0.02 0.886 0.882 0.884 0.989 thigh 0.81 0.025 0.849 0.81 0.829 0.982 upperarm 0.912 0.025 0.863 0.912 0.887 0.991 waist Weighted Avg. 0.863 0.023 0.863 0.863 0.863 0.987 === Confusion Matrix === a b c d e f g <-- classified as 713 12 22 1 17 27 15 | a = chest 18 532 31 1 6 10 50 | b = forearm 26 37 650 3 13 57 23 | c = head 1 3 6 743 41 10 4 | d = shin 22 11 18 26 713 6 12 | e = thigh 33 13 79 11 5 656 13 | f = upperarm 10 28 15 1 10 7 737 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4775 86.8498 % Incorrectly Classified Instances 723 13.1502 % Kappa statistic 0.8465 Mean absolute error 0.0732 Root mean squared error 0.1715 Relative absolute error 29.9167 % Root relative squared error 49.0356 % Total Number of Instances 5498 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.855 0.023 0.867 0.855 0.861 0.989 chest 0.836 0.024 0.826 0.836 0.831 0.985 forearm 0.842 0.028 0.839 0.842 0.84 0.981 head 0.931 0.007 0.956 0.931 0.943 0.995 shin 0.894 0.02 0.886 0.894 0.89 0.991 thigh 0.846 0.028 0.838 0.846 0.842 0.983 upperarm 0.87 0.024 0.863 0.87 0.866 0.99 waist Weighted Avg. 0.868 0.022 0.869 0.868 0.869 0.988 === Confusion Matrix === a b c d e f g <-- classified as 690 25 21 1 26 31 13 | a = chest 19 542 17 2 8 13 47 | b = forearm 18 32 681 2 5 55 16 | c = head 0 2 1 752 37 11 5 | d = shin 22 9 8 23 722 11 13 | e = thigh 28 7 64 5 3 685 18 | f = upperarm 19 39 20 2 14 11 703 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4724 85.9222 % Incorrectly Classified Instances 774 14.0778 % Kappa statistic 0.8356 Mean absolute error 0.0738 Root mean squared error 0.1742 Relative absolute error 30.1802 % Root relative squared error 49.8122 % Total Number of Instances 5498 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.866 0.021 0.875 0.866 0.87 0.989 chest 0.806 0.022 0.831 0.806 0.818 0.982 forearm 0.807 0.035 0.798 0.807 0.803 0.977 head 0.925 0.008 0.952 0.925 0.938 0.996 shin 0.879 0.023 0.868 0.879 0.873 0.988 thigh 0.826 0.028 0.836 0.826 0.831 0.981 upperarm 0.896 0.027 0.852 0.896 0.873 0.989 waist Weighted Avg. 0.859 0.024 0.86 0.859 0.859 0.986 === Confusion Matrix === a b c d e f g <-- classified as 699 19 13 1 37 27 11 | a = chest 20 522 31 1 9 14 51 | b = forearm 20 31 653 1 11 62 31 | c = head 1 1 12 747 33 11 3 | d = shin 30 3 16 25 710 11 13 | e = thigh 14 21 78 8 3 669 17 | f = upperarm 15 31 15 2 15 6 724 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4777 86.8861 % Incorrectly Classified Instances 721 13.1139 % Kappa statistic 0.8469 Mean absolute error 0.0723 Root mean squared error 0.1718 Relative absolute error 29.5669 % Root relative squared error 49.1187 % Total Number of Instances 5498 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.857 0.021 0.876 0.857 0.867 0.986 chest 0.832 0.026 0.808 0.832 0.82 0.986 forearm 0.836 0.03 0.825 0.836 0.83 0.98 head 0.928 0.011 0.936 0.928 0.932 0.994 shin 0.894 0.016 0.904 0.894 0.899 0.989 thigh 0.849 0.028 0.842 0.849 0.846 0.982 upperarm 0.879 0.02 0.882 0.879 0.88 0.99 waist Weighted Avg. 0.869 0.022 0.869 0.869 0.869 0.987 === Confusion Matrix === a b c d e f g <-- classified as 692 21 23 5 24 31 11 | a = chest 18 539 33 3 5 12 38 | b = forearm 17 36 676 1 8 59 12 | c = head 3 3 8 750 26 10 8 | d = shin 16 15 7 27 722 7 14 | e = thigh 24 16 56 11 3 688 12 | f = upperarm 20 37 16 4 11 10 710 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4774 86.8316 % Incorrectly Classified Instances 724 13.1684 % Kappa statistic 0.8463 Mean absolute error 0.0737 Root mean squared error 0.1728 Relative absolute error 30.135 % Root relative squared error 49.408 % Total Number of Instances 5498 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.877 0.022 0.874 0.877 0.876 0.989 chest 0.827 0.027 0.803 0.827 0.815 0.983 forearm 0.818 0.032 0.813 0.818 0.816 0.977 head 0.936 0.006 0.962 0.936 0.949 0.996 shin 0.912 0.016 0.905 0.912 0.909 0.989 thigh 0.816 0.023 0.862 0.816 0.838 0.981 upperarm 0.884 0.027 0.851 0.884 0.867 0.989 waist Weighted Avg. 0.868 0.022 0.869 0.868 0.868 0.986 === Confusion Matrix === a b c d e f g <-- classified as 708 18 25 1 18 17 20 | a = chest 18 537 24 4 8 10 48 | b = forearm 18 47 662 3 7 49 23 | c = head 0 4 2 756 30 9 7 | d = shin 19 4 9 14 737 13 12 | e = thigh 31 14 79 6 4 661 15 | f = upperarm 16 45 13 2 10 8 713 | g = waist ------------------------------------------------------------------------------------------------------ SUBJECT: 3 RUN: 0 FOLD: 0 Correctly Classified Instances 5131 83.7851 % Incorrectly Classified Instances 993 16.2149 % Kappa statistic 0.8108 Mean absolute error 0.0836 Root mean squared error 0.1869 Relative absolute error 34.1559 % Root relative squared error 53.3979 % Total Number of Instances 6124 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.864 0.028 0.837 0.864 0.851 0.986 chest 0.836 0.021 0.869 0.836 0.852 0.983 forearm 0.821 0.039 0.777 0.821 0.798 0.977 head 0.882 0.017 0.898 0.882 0.89 0.99 shin 0.825 0.023 0.856 0.825 0.84 0.985 thigh 0.779 0.03 0.81 0.779 0.794 0.97 upperarm 0.857 0.031 0.824 0.857 0.84 0.984 waist Weighted Avg. 0.838 0.027 0.839 0.838 0.838 0.982 === Confusion Matrix === a b c d e f g <-- classified as 757 10 39 1 12 42 15 | a = chest 20 729 35 4 9 15 60 | b = forearm 45 27 718 1 13 47 24 | c = head 2 6 11 772 51 11 22 | d = shin 21 17 21 48 721 24 22 | e = thigh 46 20 74 17 18 682 18 | f = upperarm 13 30 26 17 18 21 752 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 5175 84.5036 % Incorrectly Classified Instances 949 15.4964 % Kappa statistic 0.8192 Mean absolute error 0.0822 Root mean squared error 0.1839 Relative absolute error 33.5724 % Root relative squared error 52.5441 % Total Number of Instances 6124 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.881 0.025 0.854 0.881 0.867 0.987 chest 0.838 0.021 0.871 0.838 0.854 0.983 forearm 0.79 0.037 0.779 0.79 0.784 0.973 head 0.885 0.016 0.904 0.885 0.894 0.99 shin 0.856 0.023 0.859 0.856 0.857 0.987 thigh 0.784 0.031 0.808 0.784 0.796 0.973 upperarm 0.881 0.028 0.842 0.881 0.861 0.988 waist Weighted Avg. 0.845 0.026 0.845 0.845 0.845 0.983 === Confusion Matrix === a b c d e f g <-- classified as 772 5 33 2 11 33 20 | a = chest 14 731 41 7 10 24 45 | b = forearm 50 36 691 6 19 56 17 | c = head 3 4 16 774 55 10 13 | d = shin 13 8 15 45 748 22 23 | e = thigh 36 24 70 13 19 686 27 | f = upperarm 16 31 21 9 9 18 773 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 5139 83.9157 % Incorrectly Classified Instances 985 16.0843 % Kappa statistic 0.8123 Mean absolute error 0.0835 Root mean squared error 0.1868 Relative absolute error 34.085 % Root relative squared error 53.3795 % Total Number of Instances 6124 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.881 0.024 0.859 0.881 0.87 0.987 chest 0.826 0.027 0.837 0.826 0.831 0.98 forearm 0.789 0.039 0.771 0.789 0.78 0.969 head 0.879 0.013 0.918 0.879 0.898 0.989 shin 0.864 0.026 0.848 0.864 0.856 0.985 thigh 0.768 0.032 0.801 0.768 0.784 0.97 upperarm 0.868 0.027 0.843 0.868 0.855 0.985 waist Weighted Avg. 0.839 0.027 0.84 0.839 0.839 0.981 === Confusion Matrix === a b c d e f g <-- classified as 772 8 35 1 12 31 17 | a = chest 22 720 35 3 20 28 44 | b = forearm 40 45 690 3 13 60 24 | c = head 3 6 13 769 59 14 11 | d = shin 14 16 16 37 755 13 23 | e = thigh 34 37 84 11 14 672 23 | f = upperarm 14 28 22 14 17 21 761 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 5133 83.8315 % Incorrectly Classified Instances 990 16.1685 % Kappa statistic 0.8114 Mean absolute error 0.0825 Root mean squared error 0.1855 Relative absolute error 33.6904 % Root relative squared error 53.0068 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.873 0.026 0.847 0.873 0.86 0.985 chest 0.829 0.027 0.835 0.829 0.832 0.98 forearm 0.787 0.038 0.775 0.787 0.781 0.973 head 0.875 0.014 0.915 0.875 0.895 0.991 shin 0.848 0.023 0.861 0.848 0.854 0.985 thigh 0.793 0.032 0.806 0.793 0.8 0.974 upperarm 0.862 0.029 0.834 0.862 0.848 0.986 waist Weighted Avg. 0.838 0.027 0.839 0.838 0.838 0.982 === Confusion Matrix === a b c d e f g <-- classified as 765 12 41 0 14 31 13 | a = chest 25 723 36 4 9 21 54 | b = forearm 44 44 688 6 15 57 20 | c = head 1 6 14 765 47 24 17 | d = shin 13 14 32 28 742 20 26 | e = thigh 45 31 52 13 19 694 21 | f = upperarm 10 36 25 20 16 14 756 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 5113 83.5048 % Incorrectly Classified Instances 1010 16.4952 % Kappa statistic 0.8076 Mean absolute error 0.0834 Root mean squared error 0.1858 Relative absolute error 34.0386 % Root relative squared error 53.1099 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.866 0.03 0.827 0.866 0.846 0.986 chest 0.851 0.028 0.836 0.851 0.843 0.986 forearm 0.761 0.034 0.787 0.761 0.774 0.973 head 0.895 0.016 0.905 0.895 0.9 0.991 shin 0.84 0.023 0.861 0.84 0.85 0.984 thigh 0.783 0.031 0.809 0.783 0.796 0.972 upperarm 0.849 0.031 0.821 0.849 0.835 0.983 waist Weighted Avg. 0.835 0.027 0.835 0.835 0.835 0.982 === Confusion Matrix === a b c d e f g <-- classified as 758 7 39 3 12 38 18 | a = chest 14 742 31 3 11 19 52 | b = forearm 52 52 665 6 19 52 28 | c = head 5 6 7 782 37 19 18 | d = shin 13 16 21 45 735 21 24 | e = thigh 51 21 62 16 18 686 22 | f = upperarm 24 44 20 9 22 13 745 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 5108 83.4232 % Incorrectly Classified Instances 1015 16.5768 % Kappa statistic 0.8066 Mean absolute error 0.0847 Root mean squared error 0.1888 Relative absolute error 34.6058 % Root relative squared error 53.9605 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.869 0.025 0.852 0.869 0.86 0.985 chest 0.833 0.028 0.833 0.833 0.833 0.983 forearm 0.792 0.035 0.789 0.792 0.79 0.971 head 0.868 0.014 0.913 0.868 0.89 0.988 shin 0.85 0.028 0.837 0.85 0.844 0.984 thigh 0.772 0.034 0.792 0.772 0.782 0.972 upperarm 0.856 0.03 0.827 0.856 0.841 0.982 waist Weighted Avg. 0.834 0.028 0.835 0.834 0.834 0.981 === Confusion Matrix === a b c d e f g <-- classified as 760 12 34 1 15 35 18 | a = chest 20 726 37 3 7 26 53 | b = forearm 37 47 692 4 22 53 19 | c = head 2 8 10 759 60 17 18 | d = shin 10 14 26 34 744 25 22 | e = thigh 46 35 57 11 24 676 27 | f = upperarm 17 30 21 19 17 22 751 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 5174 84.5011 % Incorrectly Classified Instances 949 15.4989 % Kappa statistic 0.8192 Mean absolute error 0.082 Root mean squared error 0.1838 Relative absolute error 33.4892 % Root relative squared error 52.5252 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.879 0.024 0.859 0.879 0.869 0.988 chest 0.864 0.022 0.87 0.864 0.867 0.987 forearm 0.839 0.036 0.797 0.839 0.817 0.979 head 0.873 0.017 0.896 0.873 0.884 0.99 shin 0.85 0.021 0.871 0.85 0.861 0.984 thigh 0.733 0.033 0.786 0.733 0.758 0.965 upperarm 0.878 0.028 0.838 0.878 0.857 0.985 waist Weighted Avg. 0.845 0.026 0.845 0.845 0.845 0.983 === Confusion Matrix === a b c d e f g <-- classified as 769 10 26 2 10 36 22 | a = chest 14 753 23 4 10 30 38 | b = forearm 26 26 733 2 13 57 17 | c = head 4 7 16 763 43 17 24 | d = shin 18 11 21 45 744 20 16 | e = thigh 51 35 79 22 15 642 32 | f = upperarm 13 24 22 14 19 15 770 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 5103 83.3415 % Incorrectly Classified Instances 1020 16.6585 % Kappa statistic 0.8056 Mean absolute error 0.0836 Root mean squared error 0.1872 Relative absolute error 34.118 % Root relative squared error 53.5065 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.861 0.026 0.848 0.861 0.854 0.985 chest 0.831 0.022 0.86 0.831 0.845 0.984 forearm 0.78 0.034 0.795 0.78 0.788 0.975 head 0.87 0.02 0.879 0.87 0.874 0.987 shin 0.834 0.026 0.84 0.834 0.837 0.983 thigh 0.787 0.037 0.782 0.787 0.784 0.97 upperarm 0.871 0.03 0.831 0.871 0.851 0.986 waist Weighted Avg. 0.833 0.028 0.834 0.833 0.833 0.981 === Confusion Matrix === a b c d e f g <-- classified as 753 11 25 4 21 41 20 | a = chest 21 724 42 2 13 28 41 | b = forearm 43 26 682 4 19 75 25 | c = head 2 5 13 761 55 14 25 | d = shin 7 14 25 53 730 17 29 | e = thigh 48 26 57 27 14 689 15 | f = upperarm 14 36 14 15 17 17 764 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 5127 83.7335 % Incorrectly Classified Instances 996 16.2665 % Kappa statistic 0.8102 Mean absolute error 0.0819 Root mean squared error 0.1848 Relative absolute error 33.4467 % Root relative squared error 52.797 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.87 0.026 0.847 0.87 0.858 0.987 chest 0.838 0.024 0.854 0.838 0.846 0.984 forearm 0.781 0.038 0.773 0.781 0.777 0.971 head 0.901 0.016 0.905 0.901 0.903 0.994 shin 0.854 0.023 0.861 0.854 0.857 0.987 thigh 0.76 0.034 0.789 0.76 0.774 0.971 upperarm 0.857 0.029 0.833 0.857 0.845 0.985 waist Weighted Avg. 0.837 0.027 0.837 0.837 0.837 0.983 === Confusion Matrix === a b c d e f g <-- classified as 761 12 31 6 10 36 19 | a = chest 9 731 34 5 13 29 51 | b = forearm 44 40 683 1 20 63 23 | c = head 1 3 6 788 44 17 16 | d = shin 15 14 23 40 747 14 22 | e = thigh 48 24 84 20 14 665 20 | f = upperarm 20 32 23 11 20 19 752 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 5087 83.0802 % Incorrectly Classified Instances 1036 16.9198 % Kappa statistic 0.8026 Mean absolute error 0.0832 Root mean squared error 0.187 Relative absolute error 33.9589 % Root relative squared error 53.4363 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.856 0.025 0.85 0.856 0.853 0.987 chest 0.786 0.024 0.844 0.786 0.814 0.979 forearm 0.807 0.039 0.775 0.807 0.79 0.975 head 0.87 0.017 0.896 0.87 0.883 0.99 shin 0.854 0.023 0.86 0.854 0.857 0.985 thigh 0.76 0.03 0.806 0.76 0.782 0.971 upperarm 0.884 0.039 0.793 0.884 0.836 0.986 waist Weighted Avg. 0.831 0.028 0.832 0.831 0.831 0.982 === Confusion Matrix === a b c d e f g <-- classified as 749 8 44 2 18 32 22 | a = chest 20 685 44 1 15 34 73 | b = forearm 38 30 705 3 18 50 30 | c = head 2 14 17 761 45 13 23 | d = shin 4 14 18 48 747 15 29 | e = thigh 58 27 71 16 13 665 25 | f = upperarm 10 34 11 18 13 16 775 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 1 FOLD: 0 Correctly Classified Instances 5115 83.5238 % Incorrectly Classified Instances 1009 16.4762 % Kappa statistic 0.8078 Mean absolute error 0.0856 Root mean squared error 0.1886 Relative absolute error 34.9417 % Root relative squared error 53.8969 % Total Number of Instances 6124 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.833 0.027 0.838 0.833 0.836 0.982 chest 0.83 0.026 0.844 0.83 0.837 0.982 forearm 0.797 0.034 0.794 0.797 0.796 0.976 head 0.888 0.015 0.906 0.888 0.897 0.991 shin 0.841 0.024 0.852 0.841 0.846 0.985 thigh 0.807 0.036 0.79 0.807 0.798 0.972 upperarm 0.849 0.03 0.827 0.849 0.838 0.985 waist Weighted Avg. 0.835 0.027 0.836 0.835 0.835 0.982 === Confusion Matrix === a b c d e f g <-- classified as 730 8 44 2 18 44 30 | a = chest 16 724 40 6 13 29 44 | b = forearm 44 37 697 4 12 60 20 | c = head 4 11 6 777 51 12 14 | d = shin 16 13 21 39 736 24 26 | e = thigh 46 23 52 14 12 706 22 | f = upperarm 15 42 18 16 22 19 745 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 5132 83.8014 % Incorrectly Classified Instances 992 16.1986 % Kappa statistic 0.811 Mean absolute error 0.0818 Root mean squared error 0.1845 Relative absolute error 33.422 % Root relative squared error 52.7305 % Total Number of Instances 6124 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.868 0.026 0.848 0.868 0.858 0.987 chest 0.815 0.025 0.845 0.815 0.83 0.981 forearm 0.808 0.035 0.795 0.808 0.801 0.977 head 0.896 0.015 0.908 0.896 0.902 0.99 shin 0.849 0.025 0.851 0.849 0.85 0.985 thigh 0.767 0.031 0.803 0.767 0.784 0.972 upperarm 0.863 0.032 0.817 0.863 0.839 0.984 waist Weighted Avg. 0.838 0.027 0.838 0.838 0.838 0.982 === Confusion Matrix === a b c d e f g <-- classified as 760 11 35 0 14 34 22 | a = chest 22 711 34 4 16 28 57 | b = forearm 41 41 706 3 12 51 20 | c = head 0 7 8 784 47 12 17 | d = shin 15 12 22 35 743 18 30 | e = thigh 39 26 69 23 23 671 24 | f = upperarm 19 33 14 14 18 22 757 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 5135 83.8504 % Incorrectly Classified Instances 989 16.1496 % Kappa statistic 0.8116 Mean absolute error 0.0839 Root mean squared error 0.1868 Relative absolute error 34.2612 % Root relative squared error 53.3944 % Total Number of Instances 6124 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.871 0.025 0.854 0.871 0.863 0.985 chest 0.839 0.027 0.838 0.839 0.838 0.982 forearm 0.787 0.041 0.764 0.787 0.775 0.972 head 0.872 0.012 0.921 0.872 0.896 0.99 shin 0.844 0.021 0.868 0.844 0.856 0.984 thigh 0.777 0.033 0.798 0.777 0.787 0.972 upperarm 0.878 0.03 0.832 0.878 0.855 0.986 waist Weighted Avg. 0.839 0.027 0.839 0.839 0.839 0.982 === Confusion Matrix === a b c d e f g <-- classified as 763 15 33 1 13 30 21 | a = chest 18 732 42 5 7 21 47 | b = forearm 43 43 689 3 12 61 24 | c = head 3 6 14 763 49 20 20 | d = shin 9 18 23 37 738 23 26 | e = thigh 41 33 80 10 14 680 17 | f = upperarm 16 27 21 9 17 17 770 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 5189 84.746 % Incorrectly Classified Instances 934 15.254 % Kappa statistic 0.822 Mean absolute error 0.0828 Root mean squared error 0.1845 Relative absolute error 33.8 % Root relative squared error 52.7343 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.88 0.026 0.851 0.88 0.865 0.989 chest 0.86 0.025 0.85 0.86 0.855 0.983 forearm 0.787 0.031 0.809 0.787 0.798 0.972 head 0.893 0.016 0.902 0.893 0.897 0.991 shin 0.86 0.022 0.866 0.86 0.863 0.988 thigh 0.773 0.031 0.807 0.773 0.789 0.97 upperarm 0.879 0.027 0.845 0.879 0.862 0.988 waist Weighted Avg. 0.847 0.025 0.847 0.847 0.847 0.983 === Confusion Matrix === a b c d e f g <-- classified as 770 4 35 2 10 30 24 | a = chest 18 750 22 0 10 25 47 | b = forearm 40 38 689 5 20 67 16 | c = head 2 8 15 781 49 10 10 | d = shin 15 14 8 47 752 19 19 | e = thigh 42 28 68 18 18 676 25 | f = upperarm 18 40 15 13 9 11 771 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 5123 83.6681 % Incorrectly Classified Instances 1000 16.3319 % Kappa statistic 0.8095 Mean absolute error 0.0836 Root mean squared error 0.1869 Relative absolute error 34.1174 % Root relative squared error 53.4038 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.858 0.024 0.854 0.858 0.856 0.986 chest 0.838 0.025 0.85 0.838 0.844 0.985 forearm 0.785 0.034 0.793 0.785 0.789 0.971 head 0.865 0.018 0.887 0.865 0.876 0.988 shin 0.838 0.023 0.856 0.838 0.847 0.985 thigh 0.805 0.034 0.8 0.805 0.802 0.975 upperarm 0.868 0.032 0.818 0.868 0.842 0.984 waist Weighted Avg. 0.837 0.027 0.837 0.837 0.837 0.982 === Confusion Matrix === a b c d e f g <-- classified as 751 8 39 5 13 46 13 | a = chest 10 731 36 3 11 26 55 | b = forearm 38 42 687 6 20 51 31 | c = head 3 9 10 757 48 20 28 | d = shin 12 11 20 58 732 21 20 | e = thigh 45 26 55 13 10 704 22 | f = upperarm 20 33 19 11 21 12 761 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 5126 83.7171 % Incorrectly Classified Instances 997 16.2829 % Kappa statistic 0.81 Mean absolute error 0.0829 Root mean squared error 0.1857 Relative absolute error 33.8446 % Root relative squared error 53.0724 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.861 0.026 0.844 0.861 0.852 0.985 chest 0.851 0.024 0.853 0.851 0.852 0.984 forearm 0.794 0.041 0.763 0.794 0.778 0.976 head 0.881 0.014 0.911 0.881 0.896 0.991 shin 0.875 0.026 0.847 0.875 0.861 0.987 thigh 0.745 0.029 0.813 0.745 0.778 0.969 upperarm 0.853 0.029 0.831 0.853 0.842 0.985 waist Weighted Avg. 0.837 0.027 0.838 0.837 0.837 0.983 === Confusion Matrix === a b c d e f g <-- classified as 753 5 40 3 17 35 22 | a = chest 16 741 37 0 13 14 50 | b = forearm 36 36 694 3 19 63 23 | c = head 2 3 9 771 57 16 17 | d = shin 12 9 22 37 766 12 17 | e = thigh 53 35 81 17 14 653 23 | f = upperarm 20 40 26 15 18 10 748 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 5081 82.9822 % Incorrectly Classified Instances 1042 17.0178 % Kappa statistic 0.8015 Mean absolute error 0.0851 Root mean squared error 0.1897 Relative absolute error 34.735 % Root relative squared error 54.2007 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.877 0.026 0.848 0.877 0.862 0.987 chest 0.83 0.026 0.842 0.83 0.836 0.983 forearm 0.771 0.037 0.777 0.771 0.774 0.971 head 0.87 0.016 0.903 0.87 0.886 0.99 shin 0.834 0.027 0.838 0.834 0.836 0.982 thigh 0.776 0.036 0.783 0.776 0.779 0.969 upperarm 0.851 0.031 0.821 0.851 0.835 0.984 waist Weighted Avg. 0.83 0.028 0.83 0.83 0.83 0.981 === Confusion Matrix === a b c d e f g <-- classified as 767 14 32 1 11 33 17 | a = chest 15 724 31 5 12 31 54 | b = forearm 43 34 674 4 28 65 26 | c = head 2 3 15 760 59 18 17 | d = shin 20 20 20 36 730 18 31 | e = thigh 46 25 70 18 19 680 18 | f = upperarm 12 40 25 18 12 24 746 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 5159 84.2561 % Incorrectly Classified Instances 964 15.7439 % Kappa statistic 0.8163 Mean absolute error 0.0811 Root mean squared error 0.1831 Relative absolute error 33.1061 % Root relative squared error 52.3351 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.871 0.023 0.864 0.871 0.867 0.989 chest 0.821 0.023 0.853 0.821 0.837 0.984 forearm 0.817 0.035 0.795 0.817 0.806 0.977 head 0.887 0.018 0.892 0.887 0.889 0.991 shin 0.851 0.025 0.852 0.851 0.852 0.984 thigh 0.776 0.033 0.799 0.776 0.787 0.972 upperarm 0.875 0.027 0.843 0.875 0.858 0.987 waist Weighted Avg. 0.843 0.026 0.843 0.843 0.842 0.983 === Confusion Matrix === a b c d e f g <-- classified as 762 15 33 4 14 29 18 | a = chest 17 716 34 3 15 32 55 | b = forearm 35 36 714 7 20 49 13 | c = head 3 6 16 775 43 14 17 | d = shin 12 9 28 43 745 22 16 | e = thigh 39 31 60 20 22 680 24 | f = upperarm 14 26 13 17 15 25 767 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 5178 84.5664 % Incorrectly Classified Instances 945 15.4336 % Kappa statistic 0.8199 Mean absolute error 0.0806 Root mean squared error 0.1824 Relative absolute error 32.9075 % Root relative squared error 52.1379 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.886 0.027 0.846 0.886 0.865 0.986 chest 0.831 0.022 0.862 0.831 0.846 0.983 forearm 0.814 0.041 0.768 0.814 0.79 0.977 head 0.874 0.014 0.911 0.874 0.892 0.989 shin 0.856 0.022 0.869 0.856 0.862 0.986 thigh 0.774 0.028 0.824 0.774 0.798 0.973 upperarm 0.885 0.027 0.847 0.885 0.866 0.987 waist Weighted Avg. 0.846 0.026 0.847 0.846 0.846 0.983 === Confusion Matrix === a b c d e f g <-- classified as 775 5 36 4 7 30 18 | a = chest 21 725 46 5 12 26 37 | b = forearm 43 32 711 1 10 54 23 | c = head 3 8 18 764 54 12 15 | d = shin 16 10 23 37 749 14 26 | e = thigh 44 33 74 10 16 678 21 | f = upperarm 14 28 18 18 14 9 776 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 5104 83.3578 % Incorrectly Classified Instances 1019 16.6422 % Kappa statistic 0.8058 Mean absolute error 0.083 Root mean squared error 0.1867 Relative absolute error 33.9008 % Root relative squared error 53.3658 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.872 0.027 0.845 0.872 0.858 0.988 chest 0.85 0.023 0.86 0.85 0.855 0.983 forearm 0.783 0.038 0.775 0.783 0.779 0.971 head 0.872 0.019 0.886 0.872 0.879 0.988 shin 0.838 0.023 0.857 0.838 0.847 0.984 thigh 0.761 0.036 0.781 0.761 0.771 0.968 upperarm 0.86 0.029 0.832 0.86 0.846 0.984 waist Weighted Avg. 0.834 0.028 0.834 0.834 0.834 0.981 === Confusion Matrix === a b c d e f g <-- classified as 764 9 35 5 10 33 20 | a = chest 17 741 29 2 8 29 46 | b = forearm 46 36 684 6 18 63 21 | c = head 2 7 17 762 50 17 19 | d = shin 10 11 25 46 733 28 22 | e = thigh 49 26 74 19 17 666 24 | f = upperarm 16 32 19 20 19 17 754 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 2 FOLD: 0 Correctly Classified Instances 5142 83.9647 % Incorrectly Classified Instances 982 16.0353 % Kappa statistic 0.8129 Mean absolute error 0.0823 Root mean squared error 0.1861 Relative absolute error 33.6068 % Root relative squared error 53.1778 % Total Number of Instances 6124 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.863 0.029 0.834 0.863 0.848 0.984 chest 0.829 0.025 0.848 0.829 0.839 0.981 forearm 0.808 0.036 0.789 0.808 0.798 0.976 head 0.89 0.016 0.901 0.89 0.895 0.99 shin 0.861 0.021 0.874 0.861 0.867 0.985 thigh 0.765 0.03 0.807 0.765 0.785 0.97 upperarm 0.862 0.03 0.827 0.862 0.844 0.984 waist Weighted Avg. 0.84 0.027 0.84 0.84 0.84 0.981 === Confusion Matrix === a b c d e f g <-- classified as 756 6 39 4 16 36 19 | a = chest 23 722 32 1 13 29 51 | b = forearm 46 40 706 3 16 48 15 | c = head 4 3 10 779 44 16 19 | d = shin 16 11 21 40 753 13 21 | e = thigh 42 26 70 23 12 670 33 | f = upperarm 20 43 17 15 8 18 756 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 5124 83.6708 % Incorrectly Classified Instances 1000 16.3292 % Kappa statistic 0.8095 Mean absolute error 0.0837 Root mean squared error 0.1871 Relative absolute error 34.1639 % Root relative squared error 53.4547 % Total Number of Instances 6124 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.887 0.027 0.846 0.887 0.866 0.988 chest 0.831 0.026 0.842 0.831 0.837 0.983 forearm 0.794 0.039 0.773 0.794 0.783 0.973 head 0.879 0.018 0.891 0.879 0.885 0.989 shin 0.827 0.022 0.862 0.827 0.844 0.982 thigh 0.775 0.033 0.799 0.775 0.787 0.97 upperarm 0.863 0.026 0.846 0.863 0.854 0.985 waist Weighted Avg. 0.837 0.027 0.837 0.837 0.837 0.982 === Confusion Matrix === a b c d e f g <-- classified as 777 7 31 3 11 33 14 | a = chest 26 725 39 6 7 22 47 | b = forearm 46 42 694 5 19 50 18 | c = head 1 7 15 769 45 16 22 | d = shin 8 17 30 47 723 27 22 | e = thigh 46 33 70 15 18 679 15 | f = upperarm 14 30 19 18 16 23 757 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 5115 83.5238 % Incorrectly Classified Instances 1009 16.4762 % Kappa statistic 0.8078 Mean absolute error 0.0838 Root mean squared error 0.1869 Relative absolute error 34.2085 % Root relative squared error 53.4094 % Total Number of Instances 6124 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.88 0.027 0.846 0.88 0.863 0.986 chest 0.845 0.027 0.839 0.845 0.842 0.983 forearm 0.779 0.036 0.783 0.779 0.781 0.973 head 0.881 0.015 0.905 0.881 0.893 0.991 shin 0.84 0.025 0.851 0.84 0.845 0.985 thigh 0.751 0.035 0.781 0.751 0.766 0.97 upperarm 0.87 0.028 0.84 0.87 0.855 0.988 waist Weighted Avg. 0.835 0.027 0.835 0.835 0.835 0.982 === Confusion Matrix === a b c d e f g <-- classified as 771 9 39 0 14 32 11 | a = chest 17 737 28 6 10 24 50 | b = forearm 36 41 681 3 21 75 17 | c = head 1 6 11 771 52 11 23 | d = shin 16 12 22 39 734 28 23 | e = thigh 53 39 70 18 17 658 21 | f = upperarm 17 34 19 15 15 14 763 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 5113 83.5048 % Incorrectly Classified Instances 1010 16.4952 % Kappa statistic 0.8076 Mean absolute error 0.0829 Root mean squared error 0.1861 Relative absolute error 33.8696 % Root relative squared error 53.1782 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.845 0.025 0.849 0.845 0.847 0.986 chest 0.83 0.024 0.851 0.83 0.84 0.982 forearm 0.796 0.037 0.782 0.796 0.789 0.973 head 0.877 0.017 0.898 0.877 0.887 0.991 shin 0.86 0.026 0.848 0.86 0.854 0.987 thigh 0.776 0.033 0.797 0.776 0.787 0.972 upperarm 0.861 0.031 0.822 0.861 0.841 0.984 waist Weighted Avg. 0.835 0.027 0.835 0.835 0.835 0.982 === Confusion Matrix === a b c d e f g <-- classified as 739 14 38 3 15 46 20 | a = chest 18 724 39 3 13 24 51 | b = forearm 40 39 696 4 17 50 28 | c = head 1 2 11 767 63 12 19 | d = shin 9 13 16 43 752 18 23 | e = thigh 43 32 68 18 13 680 22 | f = upperarm 20 27 22 16 14 23 755 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 5168 84.4031 % Incorrectly Classified Instances 955 15.5969 % Kappa statistic 0.818 Mean absolute error 0.082 Root mean squared error 0.1838 Relative absolute error 33.4801 % Root relative squared error 52.5228 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.87 0.025 0.855 0.87 0.862 0.986 chest 0.843 0.022 0.863 0.843 0.853 0.986 forearm 0.803 0.036 0.787 0.803 0.795 0.977 head 0.874 0.013 0.918 0.874 0.896 0.988 shin 0.87 0.026 0.849 0.87 0.859 0.988 thigh 0.79 0.03 0.813 0.79 0.801 0.971 upperarm 0.859 0.03 0.827 0.859 0.843 0.984 waist Weighted Avg. 0.844 0.026 0.845 0.844 0.844 0.983 === Confusion Matrix === a b c d e f g <-- classified as 761 11 38 0 9 34 22 | a = chest 12 735 39 4 14 27 41 | b = forearm 40 27 702 6 17 58 24 | c = head 2 9 19 765 48 12 20 | d = shin 10 14 20 32 761 13 25 | e = thigh 48 20 55 13 23 691 25 | f = upperarm 17 36 19 13 24 15 753 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 5167 84.3867 % Incorrectly Classified Instances 956 15.6133 % Kappa statistic 0.8178 Mean absolute error 0.083 Root mean squared error 0.1855 Relative absolute error 33.8884 % Root relative squared error 53.0031 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.88 0.022 0.867 0.88 0.874 0.989 chest 0.843 0.025 0.848 0.843 0.845 0.981 forearm 0.8 0.037 0.783 0.8 0.791 0.973 head 0.895 0.015 0.91 0.895 0.903 0.99 shin 0.856 0.026 0.845 0.856 0.851 0.983 thigh 0.776 0.029 0.815 0.776 0.795 0.973 upperarm 0.857 0.027 0.839 0.857 0.848 0.985 waist Weighted Avg. 0.844 0.026 0.844 0.844 0.844 0.982 === Confusion Matrix === a b c d e f g <-- classified as 770 12 36 2 13 27 15 | a = chest 14 735 26 4 17 24 52 | b = forearm 27 48 699 4 23 53 20 | c = head 1 3 14 783 44 14 16 | d = shin 16 12 24 38 749 17 19 | e = thigh 46 25 71 14 18 679 22 | f = upperarm 14 32 23 15 22 19 752 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 5168 84.4031 % Incorrectly Classified Instances 955 15.5969 % Kappa statistic 0.818 Mean absolute error 0.0821 Root mean squared error 0.1841 Relative absolute error 33.5388 % Root relative squared error 52.6215 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.865 0.023 0.863 0.865 0.864 0.986 chest 0.854 0.02 0.875 0.854 0.865 0.986 forearm 0.802 0.036 0.788 0.802 0.795 0.975 head 0.881 0.016 0.903 0.881 0.892 0.99 shin 0.841 0.023 0.86 0.841 0.85 0.984 thigh 0.798 0.035 0.79 0.798 0.794 0.973 upperarm 0.867 0.029 0.834 0.867 0.85 0.984 waist Weighted Avg. 0.844 0.026 0.845 0.844 0.844 0.982 === Confusion Matrix === a b c d e f g <-- classified as 757 10 34 1 10 42 21 | a = chest 10 745 33 2 7 26 49 | b = forearm 42 30 702 3 13 66 19 | c = head 5 6 8 770 59 13 13 | d = shin 17 10 17 40 736 21 34 | e = thigh 34 25 73 16 14 698 15 | f = upperarm 12 25 24 21 17 18 760 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 5142 83.9784 % Incorrectly Classified Instances 981 16.0216 % Kappa statistic 0.8131 Mean absolute error 0.0829 Root mean squared error 0.1856 Relative absolute error 33.8528 % Root relative squared error 53.0348 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.859 0.022 0.866 0.859 0.863 0.985 chest 0.822 0.025 0.848 0.822 0.835 0.983 forearm 0.795 0.038 0.779 0.795 0.787 0.974 head 0.878 0.015 0.907 0.878 0.892 0.992 shin 0.858 0.024 0.855 0.858 0.857 0.987 thigh 0.791 0.034 0.794 0.791 0.792 0.973 upperarm 0.875 0.029 0.835 0.875 0.854 0.986 waist Weighted Avg. 0.84 0.027 0.84 0.84 0.84 0.983 === Confusion Matrix === a b c d e f g <-- classified as 752 8 34 2 11 45 23 | a = chest 14 717 34 4 9 31 63 | b = forearm 34 41 696 1 17 65 21 | c = head 1 3 20 767 59 12 12 | d = shin 11 15 25 44 751 17 12 | e = thigh 42 21 72 14 13 692 21 | f = upperarm 14 41 13 14 18 10 767 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 5151 84.1254 % Incorrectly Classified Instances 972 15.8746 % Kappa statistic 0.8148 Mean absolute error 0.0821 Root mean squared error 0.1843 Relative absolute error 33.5403 % Root relative squared error 52.6673 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.871 0.025 0.853 0.871 0.862 0.987 chest 0.835 0.021 0.867 0.835 0.85 0.986 forearm 0.808 0.031 0.813 0.808 0.81 0.976 head 0.871 0.018 0.89 0.871 0.88 0.989 shin 0.842 0.027 0.839 0.842 0.841 0.984 thigh 0.784 0.034 0.794 0.784 0.789 0.971 upperarm 0.878 0.029 0.834 0.878 0.856 0.988 waist Weighted Avg. 0.841 0.026 0.841 0.841 0.841 0.983 === Confusion Matrix === a b c d e f g <-- classified as 762 5 33 4 16 39 16 | a = chest 21 728 31 2 12 31 47 | b = forearm 39 28 707 7 19 54 21 | c = head 0 11 11 761 58 17 16 | d = shin 13 13 15 45 737 23 29 | e = thigh 42 26 60 17 20 686 24 | f = upperarm 16 29 13 19 16 14 770 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 5066 82.7372 % Incorrectly Classified Instances 1057 17.2628 % Kappa statistic 0.7986 Mean absolute error 0.0858 Root mean squared error 0.1902 Relative absolute error 35.0419 % Root relative squared error 54.3523 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.878 0.029 0.836 0.878 0.856 0.985 chest 0.8 0.024 0.849 0.8 0.824 0.981 forearm 0.779 0.039 0.77 0.779 0.775 0.97 head 0.879 0.016 0.899 0.879 0.889 0.989 shin 0.839 0.024 0.854 0.839 0.847 0.984 thigh 0.763 0.036 0.779 0.763 0.771 0.967 upperarm 0.853 0.034 0.807 0.853 0.829 0.983 waist Weighted Avg. 0.827 0.029 0.828 0.827 0.827 0.98 === Confusion Matrix === a b c d e f g <-- classified as 769 10 34 0 14 26 23 | a = chest 19 698 50 2 15 25 63 | b = forearm 48 31 681 7 13 71 23 | c = head 5 6 8 768 51 18 18 | d = shin 14 12 19 42 734 25 29 | e = thigh 51 31 68 19 15 668 23 | f = upperarm 14 34 24 16 17 24 748 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 3 FOLD: 0 Correctly Classified Instances 5125 83.6871 % Incorrectly Classified Instances 999 16.3129 % Kappa statistic 0.8097 Mean absolute error 0.0835 Root mean squared error 0.1865 Relative absolute error 34.094 % Root relative squared error 53.2828 % Total Number of Instances 6124 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.861 0.028 0.837 0.861 0.848 0.985 chest 0.849 0.026 0.842 0.849 0.845 0.983 forearm 0.814 0.035 0.794 0.814 0.804 0.977 head 0.869 0.015 0.905 0.869 0.886 0.989 shin 0.858 0.02 0.875 0.858 0.867 0.985 thigh 0.757 0.033 0.792 0.757 0.774 0.969 upperarm 0.852 0.032 0.817 0.852 0.834 0.984 waist Weighted Avg. 0.837 0.027 0.837 0.837 0.837 0.982 === Confusion Matrix === a b c d e f g <-- classified as 753 15 34 1 10 37 25 | a = chest 13 740 31 4 13 20 51 | b = forearm 37 34 712 2 12 65 13 | c = head 2 4 15 760 50 15 29 | d = shin 19 15 11 38 750 18 23 | e = thigh 59 27 72 12 17 663 26 | f = upperarm 17 44 22 23 5 19 747 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 5175 84.5036 % Incorrectly Classified Instances 949 15.4964 % Kappa statistic 0.8192 Mean absolute error 0.0819 Root mean squared error 0.1837 Relative absolute error 33.455 % Root relative squared error 52.4971 % Total Number of Instances 6124 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.872 0.024 0.857 0.872 0.865 0.987 chest 0.851 0.024 0.857 0.851 0.854 0.984 forearm 0.809 0.034 0.801 0.809 0.805 0.977 head 0.894 0.014 0.916 0.894 0.905 0.991 shin 0.846 0.022 0.867 0.846 0.856 0.986 thigh 0.775 0.034 0.792 0.775 0.784 0.97 upperarm 0.869 0.03 0.827 0.869 0.848 0.984 waist Weighted Avg. 0.845 0.026 0.845 0.845 0.845 0.983 === Confusion Matrix === a b c d e f g <-- classified as 763 8 38 2 9 32 23 | a = chest 17 742 36 2 7 30 38 | b = forearm 40 36 708 4 12 49 26 | c = head 1 4 11 782 50 13 14 | d = shin 7 14 19 32 739 35 28 | e = thigh 40 35 54 18 20 679 30 | f = upperarm 22 27 18 14 15 19 762 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 5176 84.5199 % Incorrectly Classified Instances 948 15.4801 % Kappa statistic 0.8194 Mean absolute error 0.0825 Root mean squared error 0.1846 Relative absolute error 33.687 % Root relative squared error 52.7638 % Total Number of Instances 6124 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.872 0.022 0.867 0.872 0.87 0.988 chest 0.849 0.025 0.849 0.849 0.849 0.984 forearm 0.793 0.034 0.795 0.793 0.794 0.974 head 0.89 0.017 0.896 0.89 0.893 0.99 shin 0.85 0.021 0.869 0.85 0.859 0.988 thigh 0.787 0.031 0.81 0.787 0.798 0.972 upperarm 0.876 0.03 0.831 0.876 0.853 0.986 waist Weighted Avg. 0.845 0.026 0.845 0.845 0.845 0.983 === Confusion Matrix === a b c d e f g <-- classified as 763 8 33 3 14 35 19 | a = chest 17 740 36 3 12 27 37 | b = forearm 33 43 694 1 25 46 33 | c = head 2 8 13 779 35 19 19 | d = shin 10 12 20 50 743 15 24 | e = thigh 38 34 66 15 10 689 24 | f = upperarm 17 27 11 18 16 20 768 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 5166 84.3704 % Incorrectly Classified Instances 957 15.6296 % Kappa statistic 0.8177 Mean absolute error 0.0826 Root mean squared error 0.1844 Relative absolute error 33.7198 % Root relative squared error 52.6925 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.875 0.022 0.867 0.875 0.871 0.988 chest 0.815 0.021 0.865 0.815 0.839 0.982 forearm 0.801 0.038 0.777 0.801 0.789 0.976 head 0.88 0.015 0.908 0.88 0.894 0.99 shin 0.871 0.025 0.853 0.871 0.862 0.986 thigh 0.792 0.032 0.807 0.792 0.799 0.973 upperarm 0.871 0.029 0.833 0.871 0.852 0.986 waist Weighted Avg. 0.844 0.026 0.844 0.844 0.844 0.983 === Confusion Matrix === a b c d e f g <-- classified as 766 8 43 0 9 31 18 | a = chest 12 711 42 5 11 31 60 | b = forearm 33 35 700 6 17 60 23 | c = head 4 7 13 770 56 13 12 | d = shin 12 12 18 36 762 12 23 | e = thigh 43 23 68 16 15 693 17 | f = upperarm 13 26 17 15 23 19 764 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 5113 83.5048 % Incorrectly Classified Instances 1010 16.4952 % Kappa statistic 0.8076 Mean absolute error 0.0836 Root mean squared error 0.1868 Relative absolute error 34.1407 % Root relative squared error 53.3902 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.865 0.02 0.88 0.865 0.873 0.987 chest 0.835 0.028 0.831 0.835 0.833 0.983 forearm 0.801 0.038 0.779 0.801 0.79 0.972 head 0.873 0.018 0.893 0.873 0.883 0.988 shin 0.822 0.023 0.855 0.822 0.838 0.983 thigh 0.776 0.036 0.78 0.776 0.778 0.97 upperarm 0.873 0.03 0.832 0.873 0.852 0.987 waist Weighted Avg. 0.835 0.027 0.836 0.835 0.835 0.982 === Confusion Matrix === a b c d e f g <-- classified as 757 6 36 5 9 46 16 | a = chest 12 728 35 3 12 34 48 | b = forearm 29 40 700 4 17 62 22 | c = head 5 9 12 764 52 15 18 | d = shin 11 18 28 51 719 17 31 | e = thigh 40 33 73 16 14 679 20 | f = upperarm 6 42 15 13 18 17 766 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 5141 83.9621 % Incorrectly Classified Instances 982 16.0379 % Kappa statistic 0.8129 Mean absolute error 0.0832 Root mean squared error 0.186 Relative absolute error 33.9702 % Root relative squared error 53.1621 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.856 0.023 0.859 0.856 0.857 0.987 chest 0.818 0.022 0.863 0.818 0.84 0.981 forearm 0.814 0.037 0.787 0.814 0.8 0.976 head 0.877 0.015 0.909 0.877 0.892 0.991 shin 0.835 0.025 0.846 0.835 0.841 0.983 thigh 0.811 0.034 0.801 0.811 0.806 0.973 upperarm 0.867 0.032 0.819 0.867 0.842 0.985 waist Weighted Avg. 0.84 0.027 0.841 0.84 0.84 0.982 === Confusion Matrix === a b c d e f g <-- classified as 749 6 33 6 19 44 18 | a = chest 20 713 38 1 9 25 66 | b = forearm 41 34 711 4 15 50 19 | c = head 1 5 13 767 51 16 22 | d = shin 13 19 23 44 731 26 19 | e = thigh 35 22 59 12 13 710 24 | f = upperarm 13 27 26 10 26 15 760 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 5107 83.4068 % Incorrectly Classified Instances 1016 16.5932 % Kappa statistic 0.8064 Mean absolute error 0.0829 Root mean squared error 0.1861 Relative absolute error 33.8351 % Root relative squared error 53.1861 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.872 0.029 0.836 0.872 0.854 0.986 chest 0.833 0.024 0.854 0.833 0.843 0.983 forearm 0.784 0.034 0.793 0.784 0.788 0.975 head 0.873 0.016 0.899 0.873 0.886 0.991 shin 0.855 0.028 0.834 0.855 0.844 0.985 thigh 0.746 0.029 0.813 0.746 0.778 0.97 upperarm 0.876 0.034 0.812 0.876 0.843 0.986 waist Weighted Avg. 0.834 0.028 0.834 0.834 0.834 0.982 === Confusion Matrix === a b c d e f g <-- classified as 764 9 31 1 16 33 22 | a = chest 25 726 29 3 17 17 55 | b = forearm 46 38 685 4 23 57 21 | c = head 5 7 11 763 57 11 20 | d = shin 11 7 23 40 748 19 27 | e = thigh 48 34 65 19 23 653 33 | f = upperarm 15 29 20 19 13 13 768 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 5063 82.6882 % Incorrectly Classified Instances 1060 17.3118 % Kappa statistic 0.798 Mean absolute error 0.0846 Root mean squared error 0.189 Relative absolute error 34.565 % Root relative squared error 54.0015 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.878 0.027 0.842 0.878 0.86 0.986 chest 0.805 0.025 0.844 0.805 0.824 0.982 forearm 0.761 0.039 0.763 0.761 0.762 0.968 head 0.878 0.016 0.903 0.878 0.89 0.99 shin 0.841 0.027 0.837 0.841 0.839 0.984 thigh 0.769 0.036 0.781 0.769 0.775 0.971 upperarm 0.856 0.032 0.819 0.856 0.837 0.983 waist Weighted Avg. 0.827 0.029 0.827 0.827 0.827 0.98 === Confusion Matrix === a b c d e f g <-- classified as 769 7 28 0 21 33 18 | a = chest 22 702 48 2 10 26 62 | b = forearm 44 47 665 5 22 68 23 | c = head 2 7 11 767 56 18 13 | d = shin 12 10 23 47 736 21 26 | e = thigh 46 24 69 18 21 673 24 | f = upperarm 18 35 27 10 13 23 751 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 5154 84.1744 % Incorrectly Classified Instances 969 15.8256 % Kappa statistic 0.8154 Mean absolute error 0.083 Root mean squared error 0.1853 Relative absolute error 33.9025 % Root relative squared error 52.9511 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.873 0.027 0.844 0.873 0.859 0.987 chest 0.854 0.028 0.837 0.854 0.846 0.985 forearm 0.796 0.041 0.762 0.796 0.779 0.973 head 0.887 0.015 0.909 0.887 0.898 0.992 shin 0.85 0.021 0.873 0.85 0.862 0.985 thigh 0.781 0.026 0.831 0.781 0.805 0.974 upperarm 0.851 0.027 0.841 0.851 0.846 0.984 waist Weighted Avg. 0.842 0.026 0.843 0.842 0.842 0.983 === Confusion Matrix === a b c d e f g <-- classified as 765 15 39 2 7 27 21 | a = chest 17 745 33 5 11 14 47 | b = forearm 46 35 696 8 15 55 19 | c = head 1 6 19 775 40 15 18 | d = shin 14 14 27 41 744 13 22 | e = thigh 48 31 75 8 16 683 14 | f = upperarm 15 44 24 14 19 15 746 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 5103 83.3415 % Incorrectly Classified Instances 1020 16.6585 % Kappa statistic 0.8056 Mean absolute error 0.0825 Root mean squared error 0.1864 Relative absolute error 33.7063 % Root relative squared error 53.2555 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.858 0.031 0.824 0.858 0.841 0.985 chest 0.842 0.025 0.849 0.842 0.845 0.981 forearm 0.793 0.038 0.779 0.793 0.786 0.976 head 0.856 0.014 0.908 0.856 0.881 0.985 shin 0.867 0.026 0.845 0.867 0.856 0.986 thigh 0.745 0.033 0.791 0.745 0.767 0.969 upperarm 0.872 0.027 0.842 0.872 0.857 0.987 waist Weighted Avg. 0.833 0.028 0.834 0.833 0.833 0.981 === Confusion Matrix === a b c d e f g <-- classified as 752 11 38 2 14 41 18 | a = chest 20 733 30 2 11 27 48 | b = forearm 51 43 693 0 17 54 16 | c = head 4 10 12 748 66 18 16 | d = shin 9 13 19 36 759 21 18 | e = thigh 59 23 80 22 11 653 28 | f = upperarm 18 30 18 14 20 12 765 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 4 FOLD: 0 Correctly Classified Instances 5169 84.4056 % Incorrectly Classified Instances 955 15.5944 % Kappa statistic 0.8181 Mean absolute error 0.0817 Root mean squared error 0.1843 Relative absolute error 33.3801 % Root relative squared error 52.6642 % Total Number of Instances 6124 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.872 0.025 0.855 0.872 0.863 0.987 chest 0.847 0.027 0.84 0.847 0.844 0.984 forearm 0.778 0.036 0.783 0.778 0.781 0.974 head 0.883 0.016 0.904 0.883 0.894 0.99 shin 0.853 0.022 0.867 0.853 0.86 0.984 thigh 0.806 0.029 0.823 0.806 0.814 0.977 upperarm 0.869 0.028 0.837 0.869 0.853 0.984 waist Weighted Avg. 0.844 0.026 0.844 0.844 0.844 0.983 === Confusion Matrix === a b c d e f g <-- classified as 764 8 36 4 13 29 22 | a = chest 14 739 32 2 12 26 47 | b = forearm 49 50 680 3 16 59 17 | c = head 0 6 13 772 47 15 21 | d = shin 15 13 19 41 746 13 28 | e = thigh 38 23 64 15 17 706 13 | f = upperarm 14 41 24 17 9 10 762 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 5183 84.6342 % Incorrectly Classified Instances 941 15.3658 % Kappa statistic 0.8207 Mean absolute error 0.0832 Root mean squared error 0.1847 Relative absolute error 33.9814 % Root relative squared error 52.7863 % Total Number of Instances 6124 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.869 0.023 0.865 0.869 0.867 0.987 chest 0.847 0.019 0.882 0.847 0.864 0.984 forearm 0.808 0.037 0.784 0.808 0.795 0.977 head 0.878 0.017 0.898 0.878 0.888 0.99 shin 0.858 0.025 0.851 0.858 0.855 0.986 thigh 0.795 0.03 0.813 0.795 0.804 0.972 upperarm 0.87 0.029 0.836 0.87 0.853 0.986 waist Weighted Avg. 0.846 0.026 0.847 0.846 0.846 0.983 === Confusion Matrix === a b c d e f g <-- classified as 761 6 35 2 16 39 17 | a = chest 13 739 40 5 14 17 44 | b = forearm 38 30 706 4 20 60 16 | c = head 4 7 12 767 47 11 26 | d = shin 12 11 24 44 751 13 20 | e = thigh 33 20 64 18 18 696 27 | f = upperarm 19 25 20 14 16 20 763 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 5114 83.5075 % Incorrectly Classified Instances 1010 16.4925 % Kappa statistic 0.8076 Mean absolute error 0.0836 Root mean squared error 0.1869 Relative absolute error 34.1437 % Root relative squared error 53.4205 % Total Number of Instances 6124 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.865 0.024 0.858 0.865 0.862 0.985 chest 0.826 0.028 0.83 0.826 0.828 0.982 forearm 0.802 0.038 0.78 0.802 0.791 0.974 head 0.868 0.017 0.896 0.868 0.882 0.989 shin 0.837 0.026 0.84 0.837 0.838 0.981 thigh 0.773 0.03 0.809 0.773 0.79 0.972 upperarm 0.875 0.029 0.834 0.875 0.854 0.986 waist Weighted Avg. 0.835 0.027 0.835 0.835 0.835 0.981 === Confusion Matrix === a b c d e f g <-- classified as 758 12 41 2 14 24 25 | a = chest 18 720 42 3 17 24 48 | b = forearm 35 44 701 3 13 55 23 | c = head 3 8 19 759 56 19 10 | d = shin 19 13 23 39 732 24 25 | e = thigh 34 35 62 22 24 677 22 | f = upperarm 16 35 11 19 15 14 767 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 5115 83.5375 % Incorrectly Classified Instances 1008 16.4625 % Kappa statistic 0.8079 Mean absolute error 0.0828 Root mean squared error 0.1857 Relative absolute error 33.808 % Root relative squared error 53.0758 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.863 0.028 0.837 0.863 0.85 0.986 chest 0.849 0.025 0.849 0.849 0.849 0.983 forearm 0.786 0.038 0.777 0.786 0.782 0.973 head 0.895 0.018 0.891 0.895 0.893 0.989 shin 0.837 0.023 0.86 0.837 0.848 0.985 thigh 0.76 0.035 0.785 0.76 0.772 0.969 upperarm 0.859 0.026 0.848 0.859 0.853 0.986 waist Weighted Avg. 0.835 0.027 0.835 0.835 0.835 0.982 === Confusion Matrix === a b c d e f g <-- classified as 755 10 36 4 21 34 15 | a = chest 15 740 29 2 7 33 46 | b = forearm 46 35 687 2 18 61 25 | c = head 2 8 9 783 45 15 13 | d = shin 16 16 24 49 732 21 17 | e = thigh 52 30 78 21 10 665 19 | f = upperarm 16 33 21 18 18 18 753 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 5104 83.3578 % Incorrectly Classified Instances 1019 16.6422 % Kappa statistic 0.8058 Mean absolute error 0.0839 Root mean squared error 0.1886 Relative absolute error 34.2476 % Root relative squared error 53.8982 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.886 0.023 0.867 0.886 0.876 0.987 chest 0.8 0.023 0.853 0.8 0.826 0.979 forearm 0.802 0.038 0.777 0.802 0.789 0.973 head 0.875 0.018 0.892 0.875 0.884 0.989 shin 0.805 0.022 0.861 0.805 0.832 0.982 thigh 0.786 0.037 0.78 0.786 0.783 0.971 upperarm 0.88 0.034 0.813 0.88 0.845 0.985 waist Weighted Avg. 0.834 0.028 0.835 0.834 0.834 0.981 === Confusion Matrix === a b c d e f g <-- classified as 775 7 33 2 8 37 13 | a = chest 21 698 33 3 11 27 79 | b = forearm 34 40 701 5 19 53 22 | c = head 2 4 16 766 46 26 15 | d = shin 9 15 32 50 704 35 30 | e = thigh 42 27 66 20 13 688 19 | f = upperarm 11 27 21 13 17 16 772 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 5129 83.7661 % Incorrectly Classified Instances 994 16.2339 % Kappa statistic 0.8106 Mean absolute error 0.0842 Root mean squared error 0.1869 Relative absolute error 34.3756 % Root relative squared error 53.4235 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.871 0.027 0.841 0.871 0.856 0.986 chest 0.83 0.022 0.863 0.83 0.846 0.983 forearm 0.812 0.038 0.781 0.812 0.796 0.976 head 0.875 0.014 0.913 0.875 0.894 0.989 shin 0.87 0.023 0.861 0.87 0.865 0.987 thigh 0.738 0.033 0.787 0.738 0.762 0.965 upperarm 0.867 0.031 0.822 0.867 0.844 0.985 waist Weighted Avg. 0.838 0.027 0.838 0.838 0.838 0.982 === Confusion Matrix === a b c d e f g <-- classified as 762 11 37 3 9 32 21 | a = chest 18 724 37 7 15 23 48 | b = forearm 42 18 710 3 18 62 21 | c = head 7 9 14 766 43 15 21 | d = shin 15 11 13 33 761 19 23 | e = thigh 48 33 76 15 26 646 31 | f = upperarm 14 33 22 12 12 24 760 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 5120 83.6191 % Incorrectly Classified Instances 1003 16.3809 % Kappa statistic 0.8089 Mean absolute error 0.0827 Root mean squared error 0.1862 Relative absolute error 33.7537 % Root relative squared error 53.202 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.873 0.027 0.843 0.873 0.858 0.987 chest 0.838 0.025 0.846 0.838 0.842 0.983 forearm 0.777 0.036 0.784 0.777 0.781 0.972 head 0.869 0.016 0.903 0.869 0.885 0.99 shin 0.864 0.025 0.853 0.864 0.858 0.987 thigh 0.778 0.03 0.812 0.778 0.795 0.97 upperarm 0.854 0.033 0.814 0.854 0.834 0.983 waist Weighted Avg. 0.836 0.027 0.836 0.836 0.836 0.982 === Confusion Matrix === a b c d e f g <-- classified as 764 11 33 4 10 35 18 | a = chest 19 731 33 2 10 21 56 | b = forearm 42 47 680 2 16 60 28 | c = head 3 7 11 760 55 12 27 | d = shin 14 4 23 44 755 16 18 | e = thigh 47 20 70 14 19 681 24 | f = upperarm 17 44 17 16 20 14 749 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 5179 84.5827 % Incorrectly Classified Instances 944 15.4173 % Kappa statistic 0.8201 Mean absolute error 0.0812 Root mean squared error 0.1824 Relative absolute error 33.1364 % Root relative squared error 52.1373 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.859 0.021 0.87 0.859 0.865 0.987 chest 0.845 0.022 0.865 0.845 0.855 0.986 forearm 0.803 0.034 0.796 0.803 0.8 0.976 head 0.885 0.014 0.915 0.885 0.899 0.991 shin 0.872 0.022 0.871 0.872 0.871 0.987 thigh 0.769 0.037 0.778 0.769 0.774 0.971 upperarm 0.887 0.03 0.829 0.887 0.857 0.986 waist Weighted Avg. 0.846 0.026 0.846 0.846 0.846 0.983 === Confusion Matrix === a b c d e f g <-- classified as 752 7 34 0 15 44 23 | a = chest 12 737 39 4 9 20 51 | b = forearm 32 38 703 4 13 69 16 | c = head 3 6 9 774 48 19 16 | d = shin 11 14 12 27 762 20 28 | e = thigh 40 30 71 18 17 673 26 | f = upperarm 14 20 15 19 11 20 778 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 5090 83.1292 % Incorrectly Classified Instances 1033 16.8708 % Kappa statistic 0.8032 Mean absolute error 0.0835 Root mean squared error 0.1886 Relative absolute error 34.1144 % Root relative squared error 53.9089 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.861 0.029 0.83 0.861 0.845 0.985 chest 0.827 0.024 0.85 0.827 0.838 0.98 forearm 0.775 0.036 0.782 0.775 0.778 0.97 head 0.888 0.014 0.916 0.888 0.902 0.991 shin 0.859 0.026 0.845 0.859 0.852 0.986 thigh 0.743 0.036 0.774 0.743 0.758 0.964 upperarm 0.867 0.031 0.823 0.867 0.844 0.983 waist Weighted Avg. 0.831 0.028 0.831 0.831 0.831 0.98 === Confusion Matrix === a b c d e f g <-- classified as 753 10 34 2 12 47 17 | a = chest 19 721 35 4 8 30 55 | b = forearm 47 45 678 4 22 57 22 | c = head 2 3 9 777 53 15 16 | d = shin 13 12 17 36 751 22 23 | e = thigh 52 27 78 13 24 650 31 | f = upperarm 21 30 16 12 19 19 760 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 5105 83.3742 % Incorrectly Classified Instances 1018 16.6258 % Kappa statistic 0.806 Mean absolute error 0.0835 Root mean squared error 0.1868 Relative absolute error 34.0942 % Root relative squared error 53.378 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.861 0.026 0.847 0.861 0.854 0.987 chest 0.836 0.026 0.841 0.836 0.838 0.981 forearm 0.778 0.04 0.766 0.778 0.772 0.971 head 0.88 0.015 0.908 0.88 0.894 0.99 shin 0.85 0.024 0.855 0.85 0.853 0.984 thigh 0.775 0.034 0.792 0.775 0.784 0.972 upperarm 0.856 0.029 0.83 0.856 0.843 0.985 waist Weighted Avg. 0.834 0.028 0.834 0.834 0.834 0.981 === Confusion Matrix === a b c d e f g <-- classified as 754 7 39 3 8 42 23 | a = chest 22 728 35 2 14 31 39 | b = forearm 42 48 680 4 13 64 23 | c = head 2 10 12 769 56 10 15 | d = shin 15 17 29 31 744 13 26 | e = thigh 42 29 66 16 16 679 28 | f = upperarm 13 27 27 22 19 18 751 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 5 FOLD: 0 Correctly Classified Instances 5096 83.2136 % Incorrectly Classified Instances 1028 16.7864 % Kappa statistic 0.8042 Mean absolute error 0.0838 Root mean squared error 0.1878 Relative absolute error 34.23 % Root relative squared error 53.6697 % Total Number of Instances 6124 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.857 0.026 0.847 0.857 0.852 0.985 chest 0.821 0.023 0.857 0.821 0.839 0.983 forearm 0.783 0.038 0.772 0.783 0.777 0.973 head 0.876 0.019 0.887 0.876 0.881 0.989 shin 0.838 0.025 0.849 0.838 0.843 0.984 thigh 0.785 0.037 0.782 0.785 0.784 0.968 upperarm 0.864 0.029 0.834 0.864 0.849 0.985 waist Weighted Avg. 0.832 0.028 0.833 0.832 0.832 0.981 === Confusion Matrix === a b c d e f g <-- classified as 751 12 40 2 11 44 16 | a = chest 24 716 33 4 9 36 50 | b = forearm 42 38 684 2 21 63 24 | c = head 1 6 20 766 52 14 15 | d = shin 10 10 23 52 733 20 27 | e = thigh 45 22 65 19 18 688 19 | f = upperarm 14 31 21 19 19 15 758 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 5124 83.6708 % Incorrectly Classified Instances 1000 16.3292 % Kappa statistic 0.8095 Mean absolute error 0.0833 Root mean squared error 0.1864 Relative absolute error 34.0214 % Root relative squared error 53.2562 % Total Number of Instances 6124 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.857 0.027 0.839 0.857 0.848 0.986 chest 0.852 0.025 0.85 0.852 0.851 0.986 forearm 0.788 0.041 0.764 0.788 0.776 0.971 head 0.876 0.012 0.923 0.876 0.899 0.991 shin 0.849 0.024 0.857 0.849 0.853 0.984 thigh 0.764 0.029 0.815 0.764 0.788 0.974 upperarm 0.87 0.033 0.816 0.87 0.842 0.985 waist Weighted Avg. 0.837 0.027 0.838 0.837 0.837 0.982 === Confusion Matrix === a b c d e f g <-- classified as 751 13 50 0 10 32 20 | a = chest 13 743 33 1 7 22 53 | b = forearm 49 36 689 3 22 49 26 | c = head 2 8 11 766 51 14 22 | d = shin 17 11 23 31 743 22 28 | e = thigh 51 25 74 15 19 669 23 | f = upperarm 12 38 22 14 15 13 763 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 5137 83.8831 % Incorrectly Classified Instances 987 16.1169 % Kappa statistic 0.812 Mean absolute error 0.0822 Root mean squared error 0.1847 Relative absolute error 33.5615 % Root relative squared error 52.7783 % Total Number of Instances 6124 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.872 0.026 0.849 0.872 0.86 0.989 chest 0.821 0.021 0.868 0.821 0.844 0.983 forearm 0.793 0.036 0.785 0.793 0.789 0.975 head 0.868 0.015 0.905 0.868 0.886 0.99 shin 0.871 0.025 0.854 0.871 0.862 0.986 thigh 0.777 0.038 0.775 0.777 0.776 0.969 upperarm 0.869 0.027 0.841 0.869 0.855 0.985 waist Weighted Avg. 0.839 0.027 0.839 0.839 0.839 0.982 === Confusion Matrix === a b c d e f g <-- classified as 764 6 30 4 13 43 16 | a = chest 22 716 45 3 11 29 46 | b = forearm 39 30 693 2 21 69 20 | c = head 4 9 11 759 62 18 11 | d = shin 11 12 15 32 762 16 27 | e = thigh 47 23 64 21 16 681 24 | f = upperarm 13 29 25 18 7 23 762 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 5142 83.9784 % Incorrectly Classified Instances 981 16.0216 % Kappa statistic 0.8131 Mean absolute error 0.0826 Root mean squared error 0.1854 Relative absolute error 33.719 % Root relative squared error 52.9915 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.865 0.03 0.83 0.865 0.847 0.984 chest 0.842 0.023 0.86 0.842 0.851 0.985 forearm 0.79 0.035 0.789 0.79 0.789 0.976 head 0.895 0.016 0.904 0.895 0.899 0.99 shin 0.846 0.023 0.86 0.846 0.853 0.984 thigh 0.774 0.034 0.789 0.774 0.781 0.97 upperarm 0.868 0.026 0.846 0.868 0.857 0.985 waist Weighted Avg. 0.84 0.027 0.84 0.84 0.84 0.982 === Confusion Matrix === a b c d e f g <-- classified as 757 6 37 2 18 34 21 | a = chest 30 734 34 3 11 20 40 | b = forearm 39 41 691 1 13 71 19 | c = head 2 5 10 783 44 15 16 | d = shin 17 11 17 45 739 24 21 | e = thigh 51 24 65 19 18 677 21 | f = upperarm 16 32 22 13 16 17 761 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 5098 83.2598 % Incorrectly Classified Instances 1025 16.7402 % Kappa statistic 0.8047 Mean absolute error 0.0841 Root mean squared error 0.1879 Relative absolute error 34.3272 % Root relative squared error 53.7053 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.872 0.027 0.845 0.872 0.858 0.988 chest 0.843 0.025 0.848 0.843 0.845 0.983 forearm 0.802 0.039 0.776 0.802 0.789 0.97 head 0.873 0.017 0.894 0.873 0.883 0.99 shin 0.828 0.024 0.854 0.828 0.841 0.983 thigh 0.766 0.03 0.812 0.766 0.788 0.969 upperarm 0.844 0.034 0.804 0.844 0.824 0.981 waist Weighted Avg. 0.833 0.028 0.833 0.833 0.833 0.98 === Confusion Matrix === a b c d e f g <-- classified as 763 8 41 2 11 31 19 | a = chest 18 735 32 5 8 14 60 | b = forearm 41 35 702 2 19 52 24 | c = head 4 8 11 764 54 14 20 | d = shin 11 14 28 45 724 20 32 | e = thigh 49 31 69 18 13 670 25 | f = upperarm 17 36 22 19 19 24 740 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 5152 84.1418 % Incorrectly Classified Instances 971 15.8582 % Kappa statistic 0.815 Mean absolute error 0.0811 Root mean squared error 0.1835 Relative absolute error 33.1162 % Root relative squared error 52.4458 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.89 0.028 0.843 0.89 0.866 0.989 chest 0.814 0.025 0.843 0.814 0.828 0.983 forearm 0.798 0.034 0.794 0.798 0.796 0.976 head 0.887 0.016 0.902 0.887 0.895 0.991 shin 0.862 0.023 0.86 0.862 0.861 0.986 thigh 0.763 0.03 0.807 0.763 0.784 0.971 upperarm 0.876 0.028 0.84 0.876 0.858 0.987 waist Weighted Avg. 0.841 0.026 0.841 0.841 0.841 0.983 === Confusion Matrix === a b c d e f g <-- classified as 779 8 27 0 18 28 15 | a = chest 18 710 39 4 17 32 52 | b = forearm 46 38 698 2 15 56 20 | c = head 2 6 14 776 41 19 17 | d = shin 9 19 17 40 753 12 24 | e = thigh 52 30 70 18 19 668 18 | f = upperarm 18 31 14 20 13 13 768 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 5144 84.0111 % Incorrectly Classified Instances 979 15.9889 % Kappa statistic 0.8135 Mean absolute error 0.0837 Root mean squared error 0.1864 Relative absolute error 34.1592 % Root relative squared error 53.2824 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.877 0.026 0.848 0.877 0.862 0.985 chest 0.837 0.025 0.849 0.837 0.843 0.981 forearm 0.802 0.034 0.797 0.802 0.799 0.976 head 0.878 0.017 0.895 0.878 0.886 0.989 shin 0.841 0.024 0.856 0.841 0.848 0.986 thigh 0.784 0.034 0.792 0.784 0.788 0.971 upperarm 0.862 0.026 0.845 0.862 0.853 0.985 waist Weighted Avg. 0.84 0.027 0.84 0.84 0.84 0.982 === Confusion Matrix === a b c d e f g <-- classified as 767 11 27 3 16 33 18 | a = chest 12 730 39 4 13 33 41 | b = forearm 46 39 701 4 12 56 16 | c = head 4 8 14 768 48 14 19 | d = shin 16 7 22 50 736 19 25 | e = thigh 41 34 58 15 21 686 20 | f = upperarm 18 31 19 14 14 25 756 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 5120 83.6191 % Incorrectly Classified Instances 1003 16.3809 % Kappa statistic 0.8089 Mean absolute error 0.0843 Root mean squared error 0.1873 Relative absolute error 34.4354 % Root relative squared error 53.519 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.847 0.022 0.864 0.847 0.855 0.983 chest 0.837 0.022 0.862 0.837 0.849 0.984 forearm 0.789 0.038 0.776 0.789 0.783 0.973 head 0.882 0.016 0.903 0.882 0.892 0.991 shin 0.862 0.027 0.84 0.862 0.851 0.986 thigh 0.774 0.031 0.806 0.774 0.79 0.972 upperarm 0.862 0.034 0.808 0.862 0.834 0.983 waist Weighted Avg. 0.836 0.027 0.837 0.836 0.836 0.982 === Confusion Matrix === a b c d e f g <-- classified as 741 9 42 3 17 31 32 | a = chest 16 730 25 3 12 25 61 | b = forearm 40 41 690 2 17 63 21 | c = head 1 2 12 772 54 12 22 | d = shin 10 14 19 42 754 13 23 | e = thigh 32 26 84 14 21 677 21 | f = upperarm 18 25 17 19 23 19 756 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 5147 84.0601 % Incorrectly Classified Instances 976 15.9399 % Kappa statistic 0.814 Mean absolute error 0.0831 Root mean squared error 0.1854 Relative absolute error 33.9271 % Root relative squared error 52.9734 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.882 0.023 0.864 0.882 0.873 0.988 chest 0.814 0.025 0.845 0.814 0.829 0.981 forearm 0.817 0.035 0.795 0.817 0.806 0.978 head 0.875 0.017 0.895 0.875 0.885 0.988 shin 0.843 0.023 0.859 0.843 0.851 0.985 thigh 0.776 0.033 0.795 0.776 0.785 0.97 upperarm 0.876 0.029 0.833 0.876 0.854 0.988 waist Weighted Avg. 0.841 0.027 0.841 0.841 0.841 0.983 === Confusion Matrix === a b c d e f g <-- classified as 772 8 29 4 15 34 13 | a = chest 16 710 39 6 9 35 57 | b = forearm 42 30 714 10 14 50 14 | c = head 0 6 10 766 53 18 22 | d = shin 11 16 28 38 738 25 19 | e = thigh 39 38 61 14 15 679 29 | f = upperarm 14 32 17 18 15 13 768 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 5170 84.4357 % Incorrectly Classified Instances 953 15.5643 % Kappa statistic 0.8184 Mean absolute error 0.0821 Root mean squared error 0.1848 Relative absolute error 33.5338 % Root relative squared error 52.8071 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.866 0.027 0.841 0.866 0.854 0.985 chest 0.85 0.026 0.845 0.85 0.847 0.982 forearm 0.819 0.036 0.789 0.819 0.804 0.974 head 0.876 0.014 0.915 0.876 0.895 0.99 shin 0.863 0.023 0.86 0.863 0.861 0.986 thigh 0.764 0.027 0.826 0.764 0.794 0.974 upperarm 0.872 0.028 0.838 0.872 0.855 0.983 waist Weighted Avg. 0.844 0.026 0.845 0.844 0.844 0.982 === Confusion Matrix === a b c d e f g <-- classified as 759 11 36 2 6 36 26 | a = chest 23 740 27 3 17 21 40 | b = forearm 36 41 716 3 17 38 23 | c = head 2 8 12 766 50 18 18 | d = shin 16 9 25 35 755 18 17 | e = thigh 47 28 76 19 13 669 24 | f = upperarm 19 39 15 9 20 10 765 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 6 FOLD: 0 Correctly Classified Instances 5124 83.6708 % Incorrectly Classified Instances 1000 16.3292 % Kappa statistic 0.8095 Mean absolute error 0.082 Root mean squared error 0.1851 Relative absolute error 33.4914 % Root relative squared error 52.8932 % Total Number of Instances 6124 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.881 0.026 0.851 0.881 0.866 0.988 chest 0.835 0.026 0.843 0.835 0.839 0.984 forearm 0.781 0.033 0.8 0.781 0.791 0.975 head 0.877 0.016 0.901 0.877 0.889 0.99 shin 0.848 0.022 0.864 0.848 0.856 0.987 thigh 0.786 0.033 0.797 0.786 0.792 0.976 upperarm 0.848 0.035 0.803 0.848 0.825 0.982 waist Weighted Avg. 0.837 0.027 0.837 0.837 0.837 0.983 === Confusion Matrix === a b c d e f g <-- classified as 772 7 40 1 4 33 19 | a = chest 15 728 30 1 11 37 50 | b = forearm 41 41 683 5 21 56 27 | c = head 1 5 15 767 53 9 25 | d = shin 11 8 18 41 742 21 34 | e = thigh 50 31 54 14 11 688 27 | f = upperarm 17 44 14 22 17 19 744 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 5144 83.9974 % Incorrectly Classified Instances 980 16.0026 % Kappa statistic 0.8133 Mean absolute error 0.0835 Root mean squared error 0.1862 Relative absolute error 34.0987 % Root relative squared error 53.2244 % Total Number of Instances 6124 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.86 0.027 0.841 0.86 0.85 0.984 chest 0.838 0.022 0.865 0.838 0.851 0.982 forearm 0.8 0.039 0.772 0.8 0.785 0.971 head 0.898 0.016 0.902 0.898 0.9 0.99 shin 0.853 0.021 0.869 0.853 0.861 0.986 thigh 0.771 0.032 0.801 0.771 0.786 0.971 upperarm 0.86 0.029 0.832 0.86 0.846 0.985 waist Weighted Avg. 0.84 0.027 0.84 0.84 0.84 0.981 === Confusion Matrix === a b c d e f g <-- classified as 753 8 36 6 11 38 24 | a = chest 15 731 40 3 9 22 52 | b = forearm 43 29 699 5 19 51 28 | c = head 4 8 12 786 44 12 9 | d = shin 18 9 25 39 746 23 15 | e = thigh 42 34 68 16 16 675 24 | f = upperarm 20 26 26 16 13 22 754 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 5156 84.1933 % Incorrectly Classified Instances 968 15.8067 % Kappa statistic 0.8156 Mean absolute error 0.0828 Root mean squared error 0.185 Relative absolute error 33.8158 % Root relative squared error 52.8764 % Total Number of Instances 6124 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.872 0.026 0.847 0.872 0.859 0.986 chest 0.838 0.024 0.852 0.838 0.845 0.986 forearm 0.817 0.034 0.8 0.817 0.809 0.978 head 0.885 0.015 0.905 0.885 0.895 0.99 shin 0.819 0.021 0.868 0.819 0.843 0.983 thigh 0.797 0.035 0.79 0.797 0.793 0.971 upperarm 0.865 0.028 0.836 0.865 0.85 0.986 waist Weighted Avg. 0.842 0.026 0.843 0.842 0.842 0.983 === Confusion Matrix === a b c d e f g <-- classified as 764 12 32 1 11 48 8 | a = chest 18 730 34 3 10 22 54 | b = forearm 41 31 714 2 13 59 14 | c = head 1 10 4 774 57 15 14 | d = shin 15 19 20 51 717 24 29 | e = thigh 51 19 59 12 7 698 30 | f = upperarm 12 36 29 12 11 18 759 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 5152 84.1418 % Incorrectly Classified Instances 971 15.8582 % Kappa statistic 0.815 Mean absolute error 0.0812 Root mean squared error 0.1837 Relative absolute error 33.1554 % Root relative squared error 52.5065 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.88 0.025 0.857 0.88 0.868 0.987 chest 0.838 0.025 0.847 0.838 0.843 0.985 forearm 0.77 0.032 0.801 0.77 0.785 0.974 head 0.864 0.013 0.916 0.864 0.889 0.99 shin 0.873 0.023 0.864 0.873 0.869 0.987 thigh 0.788 0.035 0.789 0.788 0.789 0.972 upperarm 0.877 0.032 0.819 0.877 0.847 0.985 waist Weighted Avg. 0.841 0.026 0.842 0.841 0.841 0.983 === Confusion Matrix === a b c d e f g <-- classified as 771 9 26 2 11 39 18 | a = chest 16 731 33 3 14 25 50 | b = forearm 55 44 673 1 13 65 23 | c = head 2 11 13 755 48 14 31 | d = shin 10 11 16 27 763 25 22 | e = thigh 36 30 61 17 16 690 26 | f = upperarm 10 27 18 19 18 16 769 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 5149 84.0928 % Incorrectly Classified Instances 974 15.9072 % Kappa statistic 0.8144 Mean absolute error 0.0825 Root mean squared error 0.1858 Relative absolute error 33.6834 % Root relative squared error 53.0866 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.865 0.024 0.857 0.865 0.861 0.987 chest 0.85 0.024 0.853 0.85 0.851 0.984 forearm 0.79 0.034 0.794 0.79 0.792 0.975 head 0.881 0.015 0.908 0.881 0.894 0.991 shin 0.838 0.024 0.851 0.838 0.844 0.985 thigh 0.783 0.034 0.791 0.783 0.787 0.968 upperarm 0.88 0.029 0.834 0.88 0.856 0.987 waist Weighted Avg. 0.841 0.027 0.841 0.841 0.841 0.982 === Confusion Matrix === a b c d e f g <-- classified as 757 13 24 1 12 45 23 | a = chest 16 741 29 3 11 23 49 | b = forearm 48 37 691 1 23 64 11 | c = head 0 8 11 770 51 16 18 | d = shin 10 11 27 43 732 17 34 | e = thigh 41 31 67 13 19 686 19 | f = upperarm 11 28 21 17 12 16 772 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 5137 83.8968 % Incorrectly Classified Instances 986 16.1032 % Kappa statistic 0.8121 Mean absolute error 0.0845 Root mean squared error 0.1868 Relative absolute error 34.4846 % Root relative squared error 53.3903 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.848 0.024 0.853 0.848 0.85 0.985 chest 0.837 0.023 0.86 0.837 0.848 0.984 forearm 0.803 0.039 0.773 0.803 0.788 0.973 head 0.878 0.014 0.912 0.878 0.894 0.991 shin 0.867 0.028 0.837 0.867 0.852 0.984 thigh 0.771 0.031 0.807 0.771 0.789 0.971 upperarm 0.869 0.028 0.836 0.869 0.852 0.986 waist Weighted Avg. 0.839 0.027 0.84 0.839 0.839 0.982 === Confusion Matrix === a b c d e f g <-- classified as 742 13 41 0 20 37 22 | a = chest 17 730 39 4 10 18 54 | b = forearm 39 32 703 5 17 51 28 | c = head 2 6 15 767 54 19 11 | d = shin 9 14 19 39 758 18 17 | e = thigh 42 33 81 7 21 675 17 | f = upperarm 19 21 12 19 26 18 762 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 5095 83.2108 % Incorrectly Classified Instances 1028 16.7892 % Kappa statistic 0.8041 Mean absolute error 0.0849 Root mean squared error 0.189 Relative absolute error 34.6628 % Root relative squared error 53.9987 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.87 0.027 0.843 0.87 0.856 0.987 chest 0.826 0.027 0.837 0.826 0.831 0.982 forearm 0.791 0.037 0.783 0.791 0.787 0.971 head 0.884 0.017 0.898 0.884 0.891 0.99 shin 0.846 0.024 0.856 0.846 0.851 0.983 thigh 0.758 0.034 0.79 0.758 0.774 0.967 upperarm 0.851 0.032 0.818 0.851 0.834 0.981 waist Weighted Avg. 0.832 0.028 0.832 0.832 0.832 0.98 === Confusion Matrix === a b c d e f g <-- classified as 761 4 39 4 12 31 24 | a = chest 11 720 38 1 11 34 57 | b = forearm 45 40 692 2 18 60 18 | c = head 5 6 8 773 45 13 24 | d = shin 14 19 19 46 740 17 20 | e = thigh 47 32 73 20 17 663 23 | f = upperarm 20 39 15 15 21 21 746 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 5124 83.6845 % Incorrectly Classified Instances 999 16.3155 % Kappa statistic 0.8097 Mean absolute error 0.0823 Root mean squared error 0.1859 Relative absolute error 33.6209 % Root relative squared error 53.132 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.882 0.025 0.857 0.882 0.869 0.986 chest 0.815 0.025 0.843 0.815 0.829 0.981 forearm 0.791 0.041 0.763 0.791 0.776 0.972 head 0.875 0.017 0.897 0.875 0.886 0.988 shin 0.854 0.024 0.856 0.854 0.855 0.984 thigh 0.776 0.03 0.812 0.776 0.794 0.973 upperarm 0.864 0.029 0.833 0.864 0.848 0.986 waist Weighted Avg. 0.837 0.027 0.837 0.837 0.837 0.981 === Confusion Matrix === a b c d e f g <-- classified as 772 12 33 4 12 27 15 | a = chest 19 711 46 5 14 23 54 | b = forearm 42 43 691 4 18 54 22 | c = head 4 6 12 766 52 20 15 | d = shin 6 16 24 40 747 15 27 | e = thigh 42 25 75 18 17 679 19 | f = upperarm 16 30 25 17 13 18 758 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 5155 84.1908 % Incorrectly Classified Instances 968 15.8092 % Kappa statistic 0.8156 Mean absolute error 0.0832 Root mean squared error 0.1854 Relative absolute error 33.9669 % Root relative squared error 52.9791 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.872 0.023 0.862 0.872 0.867 0.987 chest 0.844 0.025 0.85 0.844 0.847 0.981 forearm 0.793 0.039 0.773 0.793 0.783 0.974 head 0.883 0.016 0.902 0.883 0.893 0.989 shin 0.853 0.025 0.852 0.853 0.852 0.986 thigh 0.773 0.031 0.808 0.773 0.79 0.973 upperarm 0.876 0.026 0.849 0.876 0.862 0.986 waist Weighted Avg. 0.842 0.026 0.842 0.842 0.842 0.982 === Confusion Matrix === a b c d e f g <-- classified as 763 9 33 1 15 36 18 | a = chest 19 736 34 4 17 23 39 | b = forearm 38 43 693 3 18 55 24 | c = head 3 4 17 773 48 10 20 | d = shin 17 8 17 47 746 19 21 | e = thigh 35 31 80 20 18 676 15 | f = upperarm 10 35 23 9 14 18 768 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 5132 83.8151 % Incorrectly Classified Instances 991 16.1849 % Kappa statistic 0.8112 Mean absolute error 0.0835 Root mean squared error 0.1869 Relative absolute error 34.0925 % Root relative squared error 53.4142 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.859 0.025 0.853 0.859 0.856 0.987 chest 0.83 0.026 0.842 0.83 0.836 0.982 forearm 0.817 0.037 0.787 0.817 0.802 0.977 head 0.88 0.016 0.9 0.88 0.89 0.988 shin 0.839 0.022 0.864 0.839 0.851 0.985 thigh 0.785 0.036 0.785 0.785 0.785 0.967 upperarm 0.856 0.027 0.841 0.856 0.849 0.986 waist Weighted Avg. 0.838 0.027 0.839 0.838 0.838 0.982 === Confusion Matrix === a b c d e f g <-- classified as 752 8 38 1 11 41 24 | a = chest 19 724 37 4 10 30 48 | b = forearm 32 43 714 3 14 55 13 | c = head 4 4 16 770 45 20 16 | d = shin 10 12 27 47 734 24 21 | e = thigh 49 24 60 16 19 687 20 | f = upperarm 16 45 15 15 17 18 751 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 7 FOLD: 0 Correctly Classified Instances 5123 83.6545 % Incorrectly Classified Instances 1001 16.3455 % Kappa statistic 0.8093 Mean absolute error 0.0833 Root mean squared error 0.1868 Relative absolute error 34.0235 % Root relative squared error 53.3881 % Total Number of Instances 6124 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.869 0.025 0.852 0.869 0.86 0.984 chest 0.82 0.027 0.834 0.82 0.827 0.978 forearm 0.784 0.037 0.781 0.784 0.782 0.973 head 0.891 0.015 0.906 0.891 0.899 0.99 shin 0.85 0.023 0.858 0.85 0.854 0.985 thigh 0.777 0.032 0.801 0.777 0.789 0.973 upperarm 0.864 0.031 0.824 0.864 0.844 0.984 waist Weighted Avg. 0.837 0.027 0.837 0.837 0.836 0.981 === Confusion Matrix === a b c d e f g <-- classified as 761 11 38 3 13 35 15 | a = chest 20 715 39 5 17 26 50 | b = forearm 43 46 685 2 17 56 25 | c = head 3 10 11 780 42 13 16 | d = shin 6 12 26 38 744 20 29 | e = thigh 43 32 60 19 14 680 27 | f = upperarm 17 31 18 14 20 19 758 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 5127 83.7198 % Incorrectly Classified Instances 997 16.2802 % Kappa statistic 0.8101 Mean absolute error 0.0827 Root mean squared error 0.1856 Relative absolute error 33.7608 % Root relative squared error 53.0346 % Total Number of Instances 6124 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.853 0.026 0.843 0.853 0.848 0.986 chest 0.851 0.024 0.853 0.851 0.852 0.986 forearm 0.801 0.039 0.774 0.801 0.787 0.974 head 0.883 0.017 0.899 0.883 0.891 0.989 shin 0.848 0.021 0.872 0.848 0.86 0.986 thigh 0.769 0.033 0.795 0.769 0.782 0.972 upperarm 0.855 0.03 0.828 0.855 0.841 0.985 waist Weighted Avg. 0.837 0.027 0.838 0.837 0.837 0.983 === Confusion Matrix === a b c d e f g <-- classified as 747 11 35 0 11 45 27 | a = chest 17 742 35 2 10 19 47 | b = forearm 50 39 700 5 9 52 19 | c = head 3 3 11 773 46 17 22 | d = shin 13 11 24 37 742 23 25 | e = thigh 40 30 80 18 18 673 16 | f = upperarm 16 34 19 25 15 18 750 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 5138 83.8994 % Incorrectly Classified Instances 986 16.1006 % Kappa statistic 0.8122 Mean absolute error 0.0827 Root mean squared error 0.1857 Relative absolute error 33.7859 % Root relative squared error 53.0566 % Total Number of Instances 6124 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.87 0.03 0.831 0.87 0.85 0.986 chest 0.847 0.02 0.876 0.847 0.861 0.984 forearm 0.785 0.037 0.779 0.785 0.782 0.973 head 0.895 0.016 0.901 0.895 0.898 0.991 shin 0.846 0.022 0.862 0.846 0.854 0.984 thigh 0.767 0.037 0.777 0.767 0.772 0.972 upperarm 0.863 0.026 0.85 0.863 0.856 0.986 waist Weighted Avg. 0.839 0.027 0.839 0.839 0.839 0.982 === Confusion Matrix === a b c d e f g <-- classified as 762 3 41 5 9 40 16 | a = chest 19 739 34 3 7 29 41 | b = forearm 40 37 686 1 31 66 13 | c = head 1 6 18 783 42 11 14 | d = shin 16 8 22 43 740 20 26 | e = thigh 60 28 62 13 17 671 24 | f = upperarm 19 23 18 21 12 27 757 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 5122 83.6518 % Incorrectly Classified Instances 1001 16.3482 % Kappa statistic 0.8093 Mean absolute error 0.0836 Root mean squared error 0.1868 Relative absolute error 34.1306 % Root relative squared error 53.3746 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.863 0.024 0.857 0.863 0.86 0.986 chest 0.844 0.026 0.846 0.844 0.845 0.984 forearm 0.803 0.04 0.771 0.803 0.787 0.972 head 0.878 0.015 0.906 0.878 0.891 0.99 shin 0.855 0.028 0.836 0.855 0.845 0.984 thigh 0.763 0.03 0.81 0.763 0.785 0.972 upperarm 0.851 0.028 0.834 0.851 0.842 0.984 waist Weighted Avg. 0.837 0.027 0.837 0.837 0.837 0.982 === Confusion Matrix === a b c d e f g <-- classified as 756 13 35 0 19 33 20 | a = chest 10 735 38 4 11 25 48 | b = forearm 36 41 702 1 21 57 16 | c = head 2 10 6 767 60 15 14 | d = shin 12 18 22 43 748 10 22 | e = thigh 46 18 79 18 19 668 28 | f = upperarm 20 34 29 14 17 17 746 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 5137 83.8968 % Incorrectly Classified Instances 986 16.1032 % Kappa statistic 0.8121 Mean absolute error 0.0821 Root mean squared error 0.1843 Relative absolute error 33.5312 % Root relative squared error 52.6716 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.873 0.026 0.847 0.873 0.86 0.988 chest 0.83 0.023 0.858 0.83 0.844 0.985 forearm 0.793 0.036 0.787 0.793 0.79 0.974 head 0.874 0.017 0.897 0.874 0.885 0.989 shin 0.874 0.025 0.854 0.874 0.864 0.989 thigh 0.783 0.034 0.796 0.783 0.789 0.971 upperarm 0.845 0.028 0.836 0.845 0.841 0.984 waist Weighted Avg. 0.839 0.027 0.839 0.839 0.839 0.983 === Confusion Matrix === a b c d e f g <-- classified as 764 9 41 2 11 33 15 | a = chest 20 724 33 6 8 33 48 | b = forearm 45 37 693 5 17 57 20 | c = head 2 6 14 764 52 17 19 | d = shin 13 10 17 35 765 20 15 | e = thigh 36 30 61 17 18 686 28 | f = upperarm 22 28 22 23 25 16 741 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 5128 83.7498 % Incorrectly Classified Instances 995 16.2502 % Kappa statistic 0.8104 Mean absolute error 0.0828 Root mean squared error 0.1854 Relative absolute error 33.8303 % Root relative squared error 52.9685 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.873 0.024 0.86 0.873 0.867 0.987 chest 0.842 0.029 0.828 0.842 0.835 0.983 forearm 0.795 0.034 0.793 0.795 0.794 0.974 head 0.889 0.015 0.908 0.889 0.898 0.991 shin 0.831 0.024 0.852 0.831 0.841 0.985 thigh 0.772 0.034 0.793 0.772 0.782 0.968 upperarm 0.861 0.03 0.828 0.861 0.844 0.986 waist Weighted Avg. 0.837 0.027 0.838 0.837 0.837 0.982 === Confusion Matrix === a b c d e f g <-- classified as 764 10 24 0 21 36 20 | a = chest 18 734 32 3 15 17 53 | b = forearm 33 38 695 3 20 64 21 | c = head 1 9 12 777 42 17 16 | d = shin 13 11 25 44 727 29 26 | e = thigh 48 30 71 15 15 676 21 | f = upperarm 11 54 17 14 13 13 755 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 5099 83.2762 % Incorrectly Classified Instances 1024 16.7238 % Kappa statistic 0.8049 Mean absolute error 0.0843 Root mean squared error 0.188 Relative absolute error 34.437 % Root relative squared error 53.7311 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.858 0.023 0.859 0.858 0.859 0.988 chest 0.83 0.025 0.845 0.83 0.837 0.983 forearm 0.797 0.038 0.776 0.797 0.787 0.974 head 0.879 0.017 0.898 0.879 0.888 0.991 shin 0.819 0.024 0.849 0.819 0.834 0.983 thigh 0.785 0.035 0.79 0.785 0.788 0.969 upperarm 0.86 0.032 0.817 0.86 0.838 0.982 waist Weighted Avg. 0.833 0.028 0.833 0.833 0.833 0.981 === Confusion Matrix === a b c d e f g <-- classified as 751 11 37 0 13 39 24 | a = chest 12 724 35 2 12 28 59 | b = forearm 35 33 697 4 14 66 25 | c = head 0 4 13 768 59 8 22 | d = shin 18 11 28 51 717 27 23 | e = thigh 42 29 70 14 17 688 16 | f = upperarm 16 45 18 16 13 15 754 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 5111 83.4722 % Incorrectly Classified Instances 1012 16.5278 % Kappa statistic 0.8072 Mean absolute error 0.0849 Root mean squared error 0.1894 Relative absolute error 34.6635 % Root relative squared error 54.1384 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.865 0.026 0.848 0.865 0.856 0.986 chest 0.841 0.023 0.856 0.841 0.848 0.981 forearm 0.809 0.036 0.788 0.809 0.798 0.973 head 0.849 0.017 0.893 0.849 0.871 0.986 shin 0.844 0.025 0.851 0.844 0.848 0.981 thigh 0.766 0.033 0.795 0.766 0.78 0.967 upperarm 0.869 0.033 0.817 0.869 0.842 0.985 waist Weighted Avg. 0.835 0.028 0.835 0.835 0.835 0.98 === Confusion Matrix === a b c d e f g <-- classified as 757 6 38 4 14 33 23 | a = chest 22 733 36 1 10 21 49 | b = forearm 37 27 708 5 15 58 25 | c = head 3 7 16 743 63 21 22 | d = shin 9 16 15 44 738 23 29 | e = thigh 52 35 65 20 10 670 23 | f = upperarm 13 32 21 15 17 17 762 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 5165 84.3541 % Incorrectly Classified Instances 958 15.6459 % Kappa statistic 0.8175 Mean absolute error 0.082 Root mean squared error 0.1838 Relative absolute error 33.4967 % Root relative squared error 52.52 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.889 0.024 0.859 0.889 0.874 0.988 chest 0.814 0.025 0.845 0.814 0.829 0.981 forearm 0.787 0.032 0.802 0.787 0.795 0.975 head 0.874 0.015 0.907 0.874 0.891 0.99 shin 0.864 0.022 0.869 0.864 0.866 0.988 thigh 0.783 0.032 0.804 0.783 0.793 0.975 upperarm 0.893 0.033 0.821 0.893 0.855 0.988 waist Weighted Avg. 0.844 0.026 0.844 0.844 0.843 0.983 === Confusion Matrix === a b c d e f g <-- classified as 778 8 23 1 9 40 16 | a = chest 22 710 41 4 12 29 54 | b = forearm 40 40 689 7 21 53 25 | c = head 1 5 13 765 47 15 29 | d = shin 12 11 19 42 755 14 21 | e = thigh 43 32 61 14 14 685 26 | f = upperarm 10 34 13 10 11 16 783 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 5151 84.1254 % Incorrectly Classified Instances 972 15.8746 % Kappa statistic 0.8148 Mean absolute error 0.0816 Root mean squared error 0.1846 Relative absolute error 33.3298 % Root relative squared error 52.7611 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.862 0.023 0.863 0.862 0.862 0.986 chest 0.817 0.025 0.847 0.817 0.831 0.982 forearm 0.811 0.035 0.794 0.811 0.803 0.977 head 0.885 0.016 0.9 0.885 0.892 0.991 shin 0.862 0.022 0.865 0.862 0.863 0.985 thigh 0.779 0.03 0.811 0.779 0.795 0.968 upperarm 0.873 0.034 0.813 0.873 0.842 0.985 waist Weighted Avg. 0.841 0.026 0.842 0.841 0.841 0.982 === Confusion Matrix === a b c d e f g <-- classified as 754 9 42 3 10 34 23 | a = chest 17 712 38 5 15 33 52 | b = forearm 30 38 710 4 20 49 24 | c = head 5 6 8 774 45 15 22 | d = shin 9 17 21 37 753 12 25 | e = thigh 40 25 59 24 15 682 30 | f = upperarm 19 34 16 13 13 16 766 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 8 FOLD: 0 Correctly Classified Instances 5126 83.7035 % Incorrectly Classified Instances 998 16.2965 % Kappa statistic 0.8099 Mean absolute error 0.0829 Root mean squared error 0.1857 Relative absolute error 33.8617 % Root relative squared error 53.0803 % Total Number of Instances 6124 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.862 0.024 0.855 0.862 0.858 0.985 chest 0.812 0.025 0.845 0.812 0.828 0.983 forearm 0.792 0.034 0.796 0.792 0.794 0.976 head 0.883 0.016 0.904 0.883 0.894 0.991 shin 0.843 0.025 0.85 0.843 0.847 0.984 thigh 0.791 0.031 0.811 0.791 0.801 0.975 upperarm 0.876 0.036 0.802 0.876 0.837 0.985 waist Weighted Avg. 0.837 0.027 0.838 0.837 0.837 0.983 === Confusion Matrix === a b c d e f g <-- classified as 755 14 31 3 17 31 25 | a = chest 21 708 33 0 9 29 72 | b = forearm 30 43 692 6 21 56 26 | c = head 3 6 13 773 53 13 14 | d = shin 18 6 19 47 738 22 25 | e = thigh 41 27 59 11 17 692 28 | f = upperarm 15 34 22 15 13 10 768 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 5140 83.9321 % Incorrectly Classified Instances 984 16.0679 % Kappa statistic 0.8125 Mean absolute error 0.0836 Root mean squared error 0.1865 Relative absolute error 34.1384 % Root relative squared error 53.3062 % Total Number of Instances 6124 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.863 0.027 0.842 0.863 0.852 0.985 chest 0.838 0.024 0.853 0.838 0.846 0.984 forearm 0.805 0.037 0.783 0.805 0.794 0.972 head 0.886 0.014 0.911 0.886 0.898 0.992 shin 0.848 0.022 0.866 0.848 0.857 0.983 thigh 0.766 0.034 0.79 0.766 0.778 0.972 upperarm 0.869 0.029 0.834 0.869 0.851 0.986 waist Weighted Avg. 0.839 0.027 0.84 0.839 0.839 0.982 === Confusion Matrix === a b c d e f g <-- classified as 756 9 35 2 11 46 17 | a = chest 24 731 34 3 8 25 47 | b = forearm 46 36 704 1 13 56 18 | c = head 2 6 9 775 53 14 16 | d = shin 10 17 22 34 742 21 29 | e = thigh 45 31 72 19 13 670 25 | f = upperarm 15 27 23 17 17 16 762 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 5114 83.5075 % Incorrectly Classified Instances 1010 16.4925 % Kappa statistic 0.8076 Mean absolute error 0.0841 Root mean squared error 0.1874 Relative absolute error 34.3525 % Root relative squared error 53.553 % Total Number of Instances 6124 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.872 0.025 0.855 0.872 0.863 0.987 chest 0.829 0.024 0.851 0.829 0.84 0.984 forearm 0.793 0.038 0.777 0.793 0.785 0.973 head 0.882 0.013 0.919 0.882 0.9 0.99 shin 0.859 0.027 0.839 0.859 0.849 0.984 thigh 0.757 0.034 0.786 0.757 0.771 0.967 upperarm 0.853 0.031 0.822 0.853 0.837 0.984 waist Weighted Avg. 0.835 0.027 0.836 0.835 0.835 0.981 === Confusion Matrix === a b c d e f g <-- classified as 764 13 28 4 17 32 18 | a = chest 12 723 37 1 13 31 55 | b = forearm 31 44 693 2 21 64 19 | c = head 1 3 17 772 60 9 13 | d = shin 17 8 15 40 752 15 28 | e = thigh 51 25 79 10 19 662 29 | f = upperarm 18 34 23 11 14 29 748 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 5124 83.6845 % Incorrectly Classified Instances 999 16.3155 % Kappa statistic 0.8097 Mean absolute error 0.0832 Root mean squared error 0.186 Relative absolute error 33.954 % Root relative squared error 53.1666 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.855 0.026 0.844 0.855 0.85 0.985 chest 0.841 0.022 0.861 0.841 0.851 0.985 forearm 0.799 0.036 0.789 0.799 0.794 0.973 head 0.883 0.018 0.891 0.883 0.887 0.988 shin 0.846 0.026 0.844 0.846 0.845 0.985 thigh 0.768 0.032 0.801 0.768 0.784 0.97 upperarm 0.867 0.03 0.829 0.867 0.847 0.987 waist Weighted Avg. 0.837 0.027 0.837 0.837 0.837 0.982 === Confusion Matrix === a b c d e f g <-- classified as 748 6 37 0 18 46 20 | a = chest 23 733 34 3 9 20 50 | b = forearm 34 42 698 5 22 51 22 | c = head 5 7 10 773 47 13 20 | d = shin 9 11 18 50 739 17 30 | e = thigh 53 26 71 20 18 673 15 | f = upperarm 14 26 17 17 23 20 760 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 5138 83.9131 % Incorrectly Classified Instances 985 16.0869 % Kappa statistic 0.8123 Mean absolute error 0.083 Root mean squared error 0.1853 Relative absolute error 33.8915 % Root relative squared error 52.9555 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.88 0.026 0.851 0.88 0.865 0.989 chest 0.815 0.025 0.842 0.815 0.829 0.98 forearm 0.818 0.043 0.761 0.818 0.789 0.973 head 0.873 0.013 0.916 0.873 0.894 0.991 shin 0.858 0.02 0.877 0.858 0.868 0.988 thigh 0.768 0.028 0.819 0.768 0.793 0.974 upperarm 0.861 0.032 0.817 0.861 0.838 0.986 waist Weighted Avg. 0.839 0.027 0.841 0.839 0.839 0.983 === Confusion Matrix === a b c d e f g <-- classified as 770 5 44 1 3 30 22 | a = chest 16 711 43 3 12 29 58 | b = forearm 37 37 715 5 7 51 22 | c = head 4 7 11 764 53 12 24 | d = shin 15 9 31 32 750 15 22 | e = thigh 47 31 73 15 16 673 21 | f = upperarm 16 44 22 14 14 12 755 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 5121 83.6355 % Incorrectly Classified Instances 1002 16.3645 % Kappa statistic 0.8091 Mean absolute error 0.0839 Root mean squared error 0.1877 Relative absolute error 34.2617 % Root relative squared error 53.6464 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.887 0.027 0.847 0.887 0.867 0.988 chest 0.838 0.027 0.838 0.838 0.838 0.98 forearm 0.789 0.034 0.792 0.789 0.791 0.973 head 0.861 0.016 0.897 0.861 0.879 0.987 shin 0.831 0.024 0.851 0.831 0.841 0.984 thigh 0.771 0.034 0.789 0.771 0.779 0.968 upperarm 0.878 0.028 0.841 0.878 0.859 0.984 waist Weighted Avg. 0.836 0.027 0.836 0.836 0.836 0.981 === Confusion Matrix === a b c d e f g <-- classified as 776 11 33 1 10 28 16 | a = chest 15 731 38 3 9 26 50 | b = forearm 44 39 690 2 17 63 19 | c = head 3 11 11 753 54 15 28 | d = shin 18 12 21 45 726 31 21 | e = thigh 43 34 60 27 25 675 12 | f = upperarm 17 34 18 8 12 18 770 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 5152 84.1418 % Incorrectly Classified Instances 971 15.8582 % Kappa statistic 0.815 Mean absolute error 0.0824 Root mean squared error 0.1847 Relative absolute error 33.6392 % Root relative squared error 52.7958 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.874 0.021 0.876 0.874 0.875 0.989 chest 0.832 0.024 0.85 0.832 0.841 0.982 forearm 0.805 0.038 0.78 0.805 0.792 0.975 head 0.888 0.016 0.902 0.888 0.895 0.989 shin 0.846 0.023 0.861 0.846 0.854 0.984 thigh 0.788 0.033 0.798 0.788 0.793 0.97 upperarm 0.857 0.03 0.825 0.857 0.841 0.986 waist Weighted Avg. 0.841 0.026 0.842 0.841 0.842 0.982 === Confusion Matrix === a b c d e f g <-- classified as 765 6 30 3 14 32 25 | a = chest 12 725 40 5 18 34 37 | b = forearm 32 36 704 2 13 57 31 | c = head 5 8 10 776 38 18 19 | d = shin 9 13 28 46 740 21 18 | e = thigh 41 27 70 11 8 690 29 | f = upperarm 9 38 20 17 28 13 752 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 5131 83.7988 % Incorrectly Classified Instances 992 16.2012 % Kappa statistic 0.811 Mean absolute error 0.083 Root mean squared error 0.1865 Relative absolute error 33.8882 % Root relative squared error 53.3004 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.858 0.027 0.842 0.858 0.85 0.985 chest 0.843 0.024 0.855 0.843 0.849 0.983 forearm 0.799 0.035 0.793 0.799 0.796 0.974 head 0.89 0.013 0.919 0.89 0.904 0.992 shin 0.842 0.025 0.847 0.842 0.845 0.983 thigh 0.775 0.034 0.791 0.775 0.783 0.97 upperarm 0.859 0.031 0.823 0.859 0.84 0.983 waist Weighted Avg. 0.838 0.027 0.838 0.838 0.838 0.982 === Confusion Matrix === a b c d e f g <-- classified as 751 12 36 2 16 38 20 | a = chest 15 735 31 3 11 29 48 | b = forearm 46 33 699 3 17 55 22 | c = head 2 3 8 778 50 16 17 | d = shin 10 18 25 33 737 23 29 | e = thigh 52 23 65 12 19 678 26 | f = upperarm 16 36 18 16 20 18 753 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 5112 83.4885 % Incorrectly Classified Instances 1011 16.5115 % Kappa statistic 0.8074 Mean absolute error 0.0824 Root mean squared error 0.1857 Relative absolute error 33.6508 % Root relative squared error 53.0592 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.841 0.024 0.854 0.841 0.847 0.985 chest 0.83 0.026 0.843 0.83 0.837 0.983 forearm 0.802 0.038 0.778 0.802 0.79 0.973 head 0.859 0.016 0.902 0.859 0.88 0.99 shin 0.864 0.024 0.855 0.864 0.86 0.986 thigh 0.777 0.037 0.78 0.777 0.778 0.972 upperarm 0.87 0.028 0.838 0.87 0.853 0.986 waist Weighted Avg. 0.835 0.028 0.836 0.835 0.835 0.982 === Confusion Matrix === a b c d e f g <-- classified as 736 12 42 3 12 49 21 | a = chest 20 724 44 2 11 24 47 | b = forearm 30 38 702 3 18 63 21 | c = head 3 7 20 751 52 20 21 | d = shin 8 14 17 38 756 22 20 | e = thigh 48 30 67 13 19 680 18 | f = upperarm 17 34 10 23 16 14 763 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 5187 84.7134 % Incorrectly Classified Instances 936 15.2866 % Kappa statistic 0.8217 Mean absolute error 0.0819 Root mean squared error 0.1841 Relative absolute error 33.4488 % Root relative squared error 52.6156 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.895 0.027 0.846 0.895 0.87 0.988 chest 0.847 0.024 0.854 0.847 0.851 0.986 forearm 0.804 0.031 0.811 0.804 0.808 0.975 head 0.878 0.018 0.892 0.878 0.885 0.988 shin 0.853 0.022 0.864 0.853 0.858 0.986 thigh 0.786 0.03 0.814 0.786 0.8 0.971 upperarm 0.867 0.026 0.848 0.867 0.857 0.986 waist Weighted Avg. 0.847 0.025 0.847 0.847 0.847 0.983 === Confusion Matrix === a b c d e f g <-- classified as 784 8 39 1 16 20 8 | a = chest 14 739 27 5 13 23 51 | b = forearm 59 28 703 0 13 50 21 | c = head 1 8 13 767 49 18 18 | d = shin 14 19 10 46 746 24 16 | e = thigh 41 26 61 23 14 688 22 | f = upperarm 14 37 14 18 12 22 760 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 9 FOLD: 0 Correctly Classified Instances 5091 83.1319 % Incorrectly Classified Instances 1033 16.8681 % Kappa statistic 0.8032 Mean absolute error 0.0834 Root mean squared error 0.187 Relative absolute error 34.0404 % Root relative squared error 53.4328 % Total Number of Instances 6124 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.861 0.025 0.851 0.861 0.856 0.987 chest 0.835 0.026 0.841 0.835 0.838 0.981 forearm 0.792 0.038 0.777 0.792 0.784 0.975 head 0.88 0.018 0.889 0.88 0.885 0.988 shin 0.822 0.025 0.844 0.822 0.832 0.983 thigh 0.784 0.031 0.806 0.784 0.795 0.971 upperarm 0.846 0.032 0.814 0.846 0.83 0.983 waist Weighted Avg. 0.831 0.028 0.832 0.831 0.831 0.981 === Confusion Matrix === a b c d e f g <-- classified as 754 6 44 3 13 33 23 | a = chest 16 728 38 2 18 23 47 | b = forearm 38 47 692 7 14 53 23 | c = head 0 9 16 770 41 14 25 | d = shin 15 15 18 49 718 31 28 | e = thigh 41 22 63 17 22 687 24 | f = upperarm 22 39 20 18 25 11 742 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 5159 84.2423 % Incorrectly Classified Instances 965 15.7577 % Kappa statistic 0.8162 Mean absolute error 0.0825 Root mean squared error 0.1855 Relative absolute error 33.6688 % Root relative squared error 52.9982 % Total Number of Instances 6124 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.866 0.024 0.857 0.866 0.862 0.986 chest 0.826 0.022 0.861 0.826 0.843 0.982 forearm 0.8 0.036 0.785 0.8 0.793 0.974 head 0.881 0.014 0.914 0.881 0.897 0.99 shin 0.864 0.028 0.837 0.864 0.85 0.986 thigh 0.782 0.029 0.82 0.782 0.801 0.973 upperarm 0.878 0.031 0.827 0.878 0.852 0.985 waist Weighted Avg. 0.842 0.026 0.843 0.842 0.842 0.982 === Confusion Matrix === a b c d e f g <-- classified as 759 9 32 2 17 35 22 | a = chest 20 720 36 4 15 25 52 | b = forearm 48 39 699 2 16 46 24 | c = head 2 6 9 771 61 9 17 | d = shin 10 12 19 38 755 21 19 | e = thigh 36 22 75 13 18 685 27 | f = upperarm 11 28 20 14 20 14 770 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 5108 83.4095 % Incorrectly Classified Instances 1016 16.5905 % Kappa statistic 0.8064 Mean absolute error 0.0834 Root mean squared error 0.1865 Relative absolute error 34.069 % Root relative squared error 53.3009 % Total Number of Instances 6124 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.871 0.028 0.84 0.871 0.855 0.988 chest 0.838 0.023 0.86 0.838 0.849 0.985 forearm 0.781 0.036 0.784 0.781 0.783 0.973 head 0.878 0.017 0.896 0.878 0.887 0.99 shin 0.822 0.027 0.837 0.822 0.829 0.98 thigh 0.772 0.034 0.79 0.772 0.781 0.972 upperarm 0.877 0.03 0.832 0.877 0.854 0.986 waist Weighted Avg. 0.834 0.028 0.834 0.834 0.834 0.982 === Confusion Matrix === a b c d e f g <-- classified as 763 11 30 5 12 32 23 | a = chest 20 731 25 3 12 28 53 | b = forearm 47 34 683 4 20 72 14 | c = head 4 6 11 768 53 13 20 | d = shin 15 14 30 52 718 19 26 | e = thigh 45 29 71 14 22 676 19 | f = upperarm 14 25 21 11 21 16 769 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 5122 83.6518 % Incorrectly Classified Instances 1001 16.3482 % Kappa statistic 0.8093 Mean absolute error 0.0836 Root mean squared error 0.187 Relative absolute error 34.1514 % Root relative squared error 53.4485 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.863 0.023 0.864 0.863 0.864 0.984 chest 0.831 0.023 0.857 0.831 0.844 0.983 forearm 0.809 0.039 0.777 0.809 0.793 0.975 head 0.868 0.017 0.893 0.868 0.881 0.99 shin 0.851 0.025 0.849 0.851 0.85 0.986 thigh 0.771 0.035 0.787 0.771 0.779 0.969 upperarm 0.861 0.029 0.832 0.861 0.846 0.984 waist Weighted Avg. 0.837 0.027 0.837 0.837 0.837 0.981 === Confusion Matrix === a b c d e f g <-- classified as 756 8 44 2 10 35 21 | a = chest 13 725 30 5 8 41 50 | b = forearm 38 33 707 4 16 54 22 | c = head 1 5 14 759 68 6 21 | d = shin 13 10 19 45 745 29 14 | e = thigh 39 29 75 19 14 675 24 | f = upperarm 15 36 21 16 16 18 755 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 5046 82.4106 % Incorrectly Classified Instances 1077 17.5894 % Kappa statistic 0.7948 Mean absolute error 0.0848 Root mean squared error 0.1892 Relative absolute error 34.6403 % Root relative squared error 54.0626 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.855 0.028 0.835 0.855 0.845 0.987 chest 0.803 0.025 0.84 0.803 0.821 0.981 forearm 0.779 0.043 0.751 0.779 0.765 0.969 head 0.882 0.016 0.904 0.882 0.893 0.991 shin 0.84 0.025 0.851 0.84 0.845 0.985 thigh 0.753 0.036 0.775 0.753 0.764 0.968 upperarm 0.856 0.032 0.817 0.856 0.836 0.984 waist Weighted Avg. 0.824 0.029 0.825 0.824 0.824 0.981 === Confusion Matrix === a b c d e f g <-- classified as 748 11 45 1 12 41 17 | a = chest 19 700 41 5 5 37 65 | b = forearm 47 42 682 3 20 59 22 | c = head 3 6 13 771 51 14 16 | d = shin 17 11 23 40 735 20 29 | e = thigh 47 24 80 20 26 659 19 | f = upperarm 15 39 24 13 15 20 751 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 5118 83.5865 % Incorrectly Classified Instances 1005 16.4135 % Kappa statistic 0.8085 Mean absolute error 0.0834 Root mean squared error 0.187 Relative absolute error 34.0748 % Root relative squared error 53.4385 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.865 0.025 0.852 0.865 0.858 0.985 chest 0.82 0.027 0.834 0.82 0.827 0.983 forearm 0.791 0.037 0.779 0.791 0.785 0.973 head 0.879 0.016 0.901 0.879 0.89 0.989 shin 0.853 0.021 0.874 0.853 0.863 0.987 thigh 0.781 0.037 0.778 0.781 0.779 0.969 upperarm 0.863 0.028 0.836 0.863 0.85 0.984 waist Weighted Avg. 0.836 0.027 0.836 0.836 0.836 0.981 === Confusion Matrix === a b c d e f g <-- classified as 757 6 40 4 15 37 16 | a = chest 22 715 45 3 11 31 45 | b = forearm 39 31 692 7 21 63 22 | c = head 1 10 10 768 37 24 24 | d = shin 14 16 17 38 746 23 21 | e = thigh 45 40 66 15 6 683 20 | f = upperarm 11 39 18 17 18 17 757 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 5132 83.8151 % Incorrectly Classified Instances 991 16.1849 % Kappa statistic 0.8112 Mean absolute error 0.0827 Root mean squared error 0.1851 Relative absolute error 33.759 % Root relative squared error 52.8956 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.854 0.024 0.857 0.854 0.855 0.986 chest 0.869 0.027 0.844 0.869 0.856 0.984 forearm 0.793 0.038 0.775 0.793 0.784 0.974 head 0.881 0.014 0.91 0.881 0.895 0.991 shin 0.855 0.021 0.872 0.855 0.863 0.986 thigh 0.751 0.032 0.796 0.751 0.773 0.97 upperarm 0.864 0.032 0.817 0.864 0.84 0.987 waist Weighted Avg. 0.838 0.027 0.839 0.838 0.838 0.982 === Confusion Matrix === a b c d e f g <-- classified as 747 12 46 1 15 37 17 | a = chest 11 758 33 2 12 16 40 | b = forearm 28 43 694 5 17 60 28 | c = head 3 6 16 770 43 12 24 | d = shin 14 11 22 32 748 17 31 | e = thigh 55 33 66 21 13 657 30 | f = upperarm 14 35 19 15 10 26 758 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 5212 85.1217 % Incorrectly Classified Instances 911 14.8783 % Kappa statistic 0.8264 Mean absolute error 0.0808 Root mean squared error 0.1827 Relative absolute error 33.0047 % Root relative squared error 52.1976 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.881 0.026 0.85 0.881 0.865 0.988 chest 0.853 0.022 0.864 0.853 0.859 0.984 forearm 0.818 0.035 0.794 0.818 0.806 0.974 head 0.882 0.014 0.913 0.882 0.897 0.989 shin 0.857 0.021 0.871 0.857 0.864 0.986 thigh 0.779 0.029 0.816 0.779 0.797 0.973 upperarm 0.887 0.026 0.853 0.887 0.87 0.99 waist Weighted Avg. 0.851 0.025 0.852 0.851 0.851 0.983 === Confusion Matrix === a b c d e f g <-- classified as 771 7 26 2 14 34 21 | a = chest 20 744 44 4 10 14 36 | b = forearm 37 34 715 0 18 51 19 | c = head 3 5 18 772 45 20 12 | d = shin 6 12 25 38 750 20 24 | e = thigh 58 25 57 16 15 682 22 | f = upperarm 12 34 15 14 9 15 778 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 5127 83.7335 % Incorrectly Classified Instances 996 16.2665 % Kappa statistic 0.8102 Mean absolute error 0.0838 Root mean squared error 0.1875 Relative absolute error 34.2321 % Root relative squared error 53.5952 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.858 0.025 0.853 0.858 0.856 0.983 chest 0.83 0.024 0.852 0.83 0.841 0.982 forearm 0.819 0.035 0.796 0.819 0.807 0.975 head 0.879 0.015 0.907 0.879 0.893 0.99 shin 0.838 0.027 0.836 0.838 0.837 0.983 thigh 0.773 0.032 0.799 0.773 0.786 0.97 upperarm 0.864 0.031 0.822 0.864 0.843 0.985 waist Weighted Avg. 0.837 0.027 0.838 0.837 0.837 0.981 === Confusion Matrix === a b c d e f g <-- classified as 751 11 36 4 17 38 18 | a = chest 18 724 31 2 18 19 60 | b = forearm 39 27 716 4 14 56 18 | c = head 3 8 11 769 50 18 16 | d = shin 7 17 23 43 733 24 28 | e = thigh 50 27 65 12 21 676 24 | f = upperarm 12 36 18 14 24 15 758 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 5194 84.8277 % Incorrectly Classified Instances 929 15.1723 % Kappa statistic 0.823 Mean absolute error 0.0819 Root mean squared error 0.1833 Relative absolute error 33.4624 % Root relative squared error 52.3776 % Total Number of Instances 6123 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.877 0.025 0.856 0.877 0.866 0.987 chest 0.848 0.023 0.859 0.848 0.854 0.985 forearm 0.792 0.034 0.794 0.792 0.793 0.974 head 0.889 0.016 0.902 0.889 0.895 0.991 shin 0.867 0.021 0.874 0.867 0.871 0.987 thigh 0.799 0.034 0.798 0.799 0.799 0.972 upperarm 0.865 0.025 0.855 0.865 0.86 0.985 waist Weighted Avg. 0.848 0.025 0.848 0.848 0.848 0.983 === Confusion Matrix === a b c d e f g <-- classified as 767 11 29 1 9 38 20 | a = chest 15 739 31 4 11 34 37 | b = forearm 45 38 692 2 19 56 22 | c = head 3 2 16 778 50 12 14 | d = shin 14 7 15 42 759 18 20 | e = thigh 39 28 67 18 8 700 16 | f = upperarm 13 35 21 18 12 19 759 | g = waist ------------------------------------------------------------------------------------------------------ SUBJECT: 4 RUN: 0 FOLD: 0 Correctly Classified Instances 5253 75.3767 % Incorrectly Classified Instances 1716 24.6233 % Kappa statistic 0.7127 Mean absolute error 0.1208 Root mean squared error 0.2286 Relative absolute error 49.3336 % Root relative squared error 65.3312 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.772 0.05 0.72 0.772 0.745 0.961 chest 0.777 0.047 0.731 0.777 0.753 0.96 forearm 0.655 0.045 0.708 0.655 0.68 0.939 head 0.817 0.021 0.869 0.817 0.842 0.978 shin 0.779 0.033 0.799 0.779 0.789 0.964 thigh 0.702 0.056 0.676 0.702 0.689 0.937 upperarm 0.775 0.036 0.784 0.775 0.78 0.96 waist Weighted Avg. 0.754 0.041 0.755 0.754 0.754 0.957 === Confusion Matrix === a b c d e f g <-- classified as 767 37 59 3 21 82 25 | a = chest 48 770 53 15 14 25 66 | b = forearm 58 102 652 13 46 86 39 | c = head 14 18 25 814 51 52 22 | d = shin 40 13 33 44 775 58 32 | e = thigh 88 38 69 35 37 698 30 | f = upperarm 50 75 30 13 26 31 777 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 5224 74.9605 % Incorrectly Classified Instances 1745 25.0395 % Kappa statistic 0.7079 Mean absolute error 0.1194 Root mean squared error 0.2271 Relative absolute error 48.7635 % Root relative squared error 64.9039 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.765 0.043 0.747 0.765 0.756 0.963 chest 0.759 0.043 0.744 0.759 0.751 0.963 forearm 0.683 0.05 0.693 0.683 0.688 0.943 head 0.832 0.021 0.867 0.832 0.849 0.977 shin 0.761 0.039 0.764 0.761 0.763 0.962 thigh 0.676 0.057 0.664 0.676 0.67 0.936 upperarm 0.77 0.038 0.774 0.77 0.772 0.965 waist Weighted Avg. 0.75 0.042 0.75 0.75 0.75 0.958 === Confusion Matrix === a b c d e f g <-- classified as 760 29 52 11 25 83 33 | a = chest 39 752 78 11 20 24 67 | b = forearm 50 61 680 10 56 100 39 | c = head 10 17 18 829 58 43 21 | d = shin 41 13 55 48 758 50 31 | e = thigh 96 65 63 27 37 673 34 | f = upperarm 22 74 35 20 38 41 772 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 5182 74.3579 % Incorrectly Classified Instances 1787 25.6421 % Kappa statistic 0.7008 Mean absolute error 0.1217 Root mean squared error 0.2303 Relative absolute error 49.6933 % Root relative squared error 65.8133 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.77 0.047 0.73 0.77 0.75 0.961 chest 0.767 0.05 0.718 0.767 0.742 0.961 forearm 0.69 0.055 0.677 0.69 0.683 0.939 head 0.804 0.023 0.854 0.804 0.828 0.979 shin 0.78 0.038 0.773 0.78 0.777 0.963 thigh 0.633 0.05 0.68 0.633 0.656 0.933 upperarm 0.76 0.036 0.778 0.76 0.769 0.963 waist Weighted Avg. 0.744 0.043 0.744 0.744 0.744 0.957 === Confusion Matrix === a b c d e f g <-- classified as 765 40 64 6 22 81 15 | a = chest 40 760 75 7 14 27 68 | b = forearm 56 80 687 16 40 75 42 | c = head 11 22 18 801 83 41 20 | d = shin 48 17 40 37 777 42 35 | e = thigh 90 53 94 44 47 630 37 | f = upperarm 38 86 37 27 22 30 762 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 5270 75.6206 % Incorrectly Classified Instances 1699 24.3794 % Kappa statistic 0.7156 Mean absolute error 0.1187 Root mean squared error 0.2258 Relative absolute error 48.4511 % Root relative squared error 64.522 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.773 0.044 0.745 0.773 0.759 0.964 chest 0.775 0.045 0.741 0.775 0.757 0.963 forearm 0.685 0.051 0.692 0.685 0.689 0.942 head 0.819 0.021 0.867 0.819 0.843 0.979 shin 0.787 0.031 0.808 0.787 0.798 0.968 thigh 0.68 0.058 0.663 0.68 0.672 0.939 upperarm 0.773 0.035 0.788 0.773 0.78 0.964 waist Weighted Avg. 0.756 0.041 0.758 0.756 0.757 0.96 === Confusion Matrix === a b c d e f g <-- classified as 768 42 48 2 21 87 25 | a = chest 33 768 70 12 12 31 65 | b = forearm 55 68 682 23 44 88 36 | c = head 13 27 24 816 50 47 19 | d = shin 35 17 43 39 784 56 22 | e = thigh 98 50 70 26 32 677 42 | f = upperarm 29 65 48 23 27 35 775 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 5216 74.8457 % Incorrectly Classified Instances 1753 25.1543 % Kappa statistic 0.7065 Mean absolute error 0.1193 Root mean squared error 0.2274 Relative absolute error 48.7024 % Root relative squared error 64.9784 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.756 0.044 0.739 0.756 0.748 0.959 chest 0.789 0.044 0.75 0.789 0.769 0.967 forearm 0.682 0.053 0.683 0.682 0.683 0.934 head 0.833 0.025 0.849 0.833 0.841 0.979 shin 0.783 0.035 0.786 0.783 0.785 0.968 thigh 0.642 0.055 0.661 0.642 0.651 0.937 upperarm 0.753 0.038 0.771 0.753 0.762 0.961 waist Weighted Avg. 0.748 0.042 0.748 0.748 0.748 0.958 === Confusion Matrix === a b c d e f g <-- classified as 751 38 59 7 22 86 30 | a = chest 29 782 60 13 16 22 69 | b = forearm 51 65 679 21 37 95 47 | c = head 12 19 24 830 56 39 16 | d = shin 31 16 48 43 780 50 28 | e = thigh 103 50 82 41 47 639 34 | f = upperarm 39 73 42 23 34 36 755 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 5193 74.5157 % Incorrectly Classified Instances 1776 25.4843 % Kappa statistic 0.7027 Mean absolute error 0.1209 Root mean squared error 0.2287 Relative absolute error 49.3741 % Root relative squared error 65.3464 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.778 0.047 0.735 0.778 0.756 0.964 chest 0.769 0.049 0.724 0.769 0.746 0.961 forearm 0.675 0.05 0.693 0.675 0.684 0.943 head 0.802 0.02 0.872 0.802 0.836 0.976 shin 0.759 0.038 0.771 0.759 0.765 0.96 thigh 0.656 0.058 0.654 0.656 0.655 0.935 upperarm 0.776 0.037 0.778 0.776 0.777 0.965 waist Weighted Avg. 0.745 0.042 0.747 0.745 0.746 0.958 === Confusion Matrix === a b c d e f g <-- classified as 773 36 56 4 20 88 16 | a = chest 33 762 61 9 19 27 80 | b = forearm 53 92 672 9 48 73 48 | c = head 9 26 30 799 64 48 20 | d = shin 46 10 37 45 756 77 25 | e = thigh 99 56 86 26 43 653 33 | f = upperarm 38 71 27 24 31 33 778 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 5241 75.2045 % Incorrectly Classified Instances 1728 24.7955 % Kappa statistic 0.7107 Mean absolute error 0.1194 Root mean squared error 0.2277 Relative absolute error 48.7388 % Root relative squared error 65.0658 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.769 0.042 0.754 0.769 0.762 0.962 chest 0.765 0.043 0.748 0.765 0.756 0.963 forearm 0.667 0.05 0.691 0.667 0.679 0.935 head 0.808 0.022 0.858 0.808 0.832 0.977 shin 0.775 0.038 0.771 0.775 0.773 0.962 thigh 0.694 0.056 0.673 0.694 0.683 0.937 upperarm 0.785 0.038 0.775 0.785 0.78 0.966 waist Weighted Avg. 0.752 0.041 0.753 0.752 0.752 0.957 === Confusion Matrix === a b c d e f g <-- classified as 764 31 58 10 24 86 20 | a = chest 28 758 72 11 16 30 76 | b = forearm 48 85 664 21 55 82 40 | c = head 17 26 27 805 64 38 19 | d = shin 42 19 31 43 772 58 31 | e = thigh 82 47 77 23 34 691 42 | f = upperarm 32 48 32 25 36 42 787 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 5275 75.7032 % Incorrectly Classified Instances 1693 24.2968 % Kappa statistic 0.7165 Mean absolute error 0.1197 Root mean squared error 0.227 Relative absolute error 48.8611 % Root relative squared error 64.8665 % Total Number of Instances 6968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.803 0.044 0.751 0.803 0.776 0.969 chest 0.768 0.042 0.752 0.768 0.76 0.964 forearm 0.68 0.044 0.722 0.68 0.7 0.942 head 0.831 0.025 0.847 0.831 0.839 0.976 shin 0.775 0.038 0.773 0.775 0.774 0.964 thigh 0.664 0.054 0.673 0.664 0.669 0.933 upperarm 0.777 0.037 0.78 0.777 0.779 0.963 waist Weighted Avg. 0.757 0.04 0.757 0.757 0.757 0.959 === Confusion Matrix === a b c d e f g <-- classified as 798 32 40 5 21 74 24 | a = chest 29 760 67 11 20 35 68 | b = forearm 47 79 677 19 37 96 40 | c = head 4 23 25 828 58 34 24 | d = shin 48 12 32 49 772 56 27 | e = thigh 95 47 66 41 48 661 37 | f = upperarm 41 58 31 24 43 26 779 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 5237 75.1579 % Incorrectly Classified Instances 1731 24.8421 % Kappa statistic 0.7102 Mean absolute error 0.1196 Root mean squared error 0.2275 Relative absolute error 48.8481 % Root relative squared error 65.0094 % Total Number of Instances 6968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.79 0.046 0.739 0.79 0.764 0.964 chest 0.788 0.045 0.745 0.788 0.766 0.967 forearm 0.673 0.05 0.692 0.673 0.683 0.942 head 0.824 0.021 0.87 0.824 0.846 0.978 shin 0.754 0.036 0.778 0.754 0.766 0.961 thigh 0.698 0.054 0.685 0.698 0.692 0.943 upperarm 0.734 0.039 0.76 0.734 0.747 0.959 waist Weighted Avg. 0.752 0.041 0.753 0.752 0.752 0.959 === Confusion Matrix === a b c d e f g <-- classified as 785 33 48 1 24 76 27 | a = chest 30 780 78 7 18 18 59 | b = forearm 55 83 670 16 49 80 42 | c = head 12 20 24 821 56 40 23 | d = shin 36 19 42 44 751 62 42 | e = thigh 104 35 62 30 30 695 39 | f = upperarm 40 77 44 25 37 44 735 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 5262 75.5166 % Incorrectly Classified Instances 1706 24.4834 % Kappa statistic 0.7144 Mean absolute error 0.1189 Root mean squared error 0.2268 Relative absolute error 48.5628 % Root relative squared error 64.8255 % Total Number of Instances 6968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.785 0.043 0.754 0.785 0.769 0.966 chest 0.764 0.042 0.751 0.764 0.758 0.962 forearm 0.689 0.045 0.721 0.689 0.705 0.944 head 0.811 0.023 0.856 0.811 0.833 0.977 shin 0.766 0.036 0.779 0.766 0.772 0.965 thigh 0.687 0.056 0.673 0.687 0.68 0.937 upperarm 0.783 0.042 0.758 0.783 0.771 0.962 waist Weighted Avg. 0.755 0.041 0.756 0.755 0.755 0.959 === Confusion Matrix === a b c d e f g <-- classified as 780 36 49 2 31 72 24 | a = chest 32 756 64 13 15 32 78 | b = forearm 49 76 686 13 38 93 40 | c = head 11 21 18 808 57 47 34 | d = shin 41 17 39 55 763 59 22 | e = thigh 81 32 62 40 44 684 52 | f = upperarm 40 68 34 13 32 30 785 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 1 FOLD: 0 Correctly Classified Instances 5229 75.0323 % Incorrectly Classified Instances 1740 24.9677 % Kappa statistic 0.7087 Mean absolute error 0.1197 Root mean squared error 0.2277 Relative absolute error 48.8898 % Root relative squared error 65.0582 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.783 0.044 0.75 0.783 0.766 0.966 chest 0.76 0.047 0.73 0.76 0.745 0.963 forearm 0.689 0.047 0.711 0.689 0.7 0.941 head 0.796 0.02 0.869 0.796 0.831 0.977 shin 0.77 0.037 0.775 0.77 0.773 0.962 thigh 0.672 0.057 0.662 0.672 0.667 0.936 upperarm 0.782 0.04 0.766 0.782 0.774 0.966 waist Weighted Avg. 0.75 0.042 0.752 0.75 0.751 0.959 === Confusion Matrix === a b c d e f g <-- classified as 778 36 45 6 23 81 24 | a = chest 34 753 73 11 17 29 74 | b = forearm 44 81 686 15 41 91 38 | c = head 13 26 20 793 69 43 32 | d = shin 34 15 37 37 766 68 38 | e = thigh 104 44 72 36 38 669 33 | f = upperarm 31 76 32 15 34 30 784 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 5308 76.1659 % Incorrectly Classified Instances 1661 23.8341 % Kappa statistic 0.7219 Mean absolute error 0.1188 Root mean squared error 0.2259 Relative absolute error 48.53 % Root relative squared error 64.5623 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.778 0.045 0.743 0.778 0.76 0.963 chest 0.771 0.041 0.758 0.771 0.764 0.964 forearm 0.716 0.051 0.699 0.716 0.707 0.946 head 0.814 0.019 0.876 0.814 0.844 0.977 shin 0.791 0.033 0.802 0.791 0.796 0.965 thigh 0.675 0.051 0.689 0.675 0.682 0.935 upperarm 0.786 0.039 0.774 0.786 0.78 0.967 waist Weighted Avg. 0.762 0.04 0.763 0.762 0.762 0.96 === Confusion Matrix === a b c d e f g <-- classified as 773 29 64 5 28 67 27 | a = chest 33 763 74 11 15 28 66 | b = forearm 48 57 713 17 36 84 41 | c = head 12 22 31 811 49 48 23 | d = shin 42 20 32 41 788 47 26 | e = thigh 104 41 75 25 32 672 47 | f = upperarm 28 75 31 16 35 29 788 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 5250 75.3336 % Incorrectly Classified Instances 1719 24.6664 % Kappa statistic 0.7122 Mean absolute error 0.1192 Root mean squared error 0.227 Relative absolute error 48.681 % Root relative squared error 64.8779 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.804 0.047 0.742 0.804 0.771 0.963 chest 0.787 0.045 0.741 0.787 0.763 0.964 forearm 0.662 0.047 0.702 0.662 0.681 0.943 head 0.82 0.022 0.861 0.82 0.84 0.976 shin 0.761 0.036 0.777 0.761 0.769 0.962 thigh 0.677 0.053 0.679 0.677 0.678 0.941 upperarm 0.763 0.037 0.776 0.763 0.77 0.962 waist Weighted Avg. 0.753 0.041 0.754 0.753 0.753 0.959 === Confusion Matrix === a b c d e f g <-- classified as 798 34 41 8 20 74 18 | a = chest 30 779 55 14 15 23 74 | b = forearm 63 93 659 17 42 81 41 | c = head 7 22 24 817 63 43 20 | d = shin 41 25 41 40 758 57 34 | e = thigh 99 34 84 30 41 674 34 | f = upperarm 38 64 35 23 36 41 765 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 5252 75.3623 % Incorrectly Classified Instances 1717 24.6377 % Kappa statistic 0.7126 Mean absolute error 0.1191 Root mean squared error 0.2266 Relative absolute error 48.614 % Root relative squared error 64.7589 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.796 0.047 0.736 0.796 0.765 0.967 chest 0.761 0.044 0.742 0.761 0.751 0.963 forearm 0.682 0.05 0.696 0.682 0.689 0.941 head 0.826 0.024 0.849 0.826 0.838 0.979 shin 0.769 0.035 0.784 0.769 0.776 0.964 thigh 0.667 0.047 0.703 0.667 0.685 0.94 upperarm 0.774 0.04 0.766 0.774 0.77 0.963 waist Weighted Avg. 0.754 0.041 0.754 0.754 0.753 0.96 === Confusion Matrix === a b c d e f g <-- classified as 791 41 48 4 17 69 24 | a = chest 36 753 78 14 14 18 77 | b = forearm 59 80 679 15 52 68 43 | c = head 9 19 21 823 58 45 21 | d = shin 38 13 45 55 766 51 28 | e = thigh 97 51 67 36 36 664 44 | f = upperarm 44 58 38 22 34 30 776 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 5261 75.4915 % Incorrectly Classified Instances 1708 24.5085 % Kappa statistic 0.7141 Mean absolute error 0.1197 Root mean squared error 0.2274 Relative absolute error 48.8742 % Root relative squared error 64.9804 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.789 0.042 0.758 0.789 0.773 0.965 chest 0.784 0.048 0.73 0.784 0.756 0.966 forearm 0.682 0.048 0.705 0.682 0.694 0.94 head 0.817 0.021 0.867 0.817 0.841 0.977 shin 0.769 0.031 0.805 0.769 0.786 0.964 thigh 0.683 0.058 0.661 0.683 0.672 0.939 upperarm 0.759 0.038 0.769 0.759 0.764 0.96 waist Weighted Avg. 0.755 0.041 0.757 0.755 0.755 0.959 === Confusion Matrix === a b c d e f g <-- classified as 784 38 36 3 17 91 25 | a = chest 24 777 65 9 17 21 78 | b = forearm 47 84 679 14 36 96 39 | c = head 15 28 27 814 54 33 25 | d = shin 35 15 40 44 766 72 24 | e = thigh 94 44 80 25 35 680 37 | f = upperarm 35 78 36 30 27 35 761 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 5220 74.9031 % Incorrectly Classified Instances 1749 25.0969 % Kappa statistic 0.7072 Mean absolute error 0.1205 Root mean squared error 0.2281 Relative absolute error 49.1973 % Root relative squared error 65.1982 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.764 0.045 0.739 0.764 0.751 0.963 chest 0.765 0.042 0.75 0.765 0.758 0.964 forearm 0.68 0.047 0.706 0.68 0.693 0.939 head 0.831 0.023 0.859 0.831 0.845 0.98 shin 0.785 0.042 0.756 0.785 0.77 0.965 thigh 0.668 0.056 0.666 0.668 0.667 0.932 upperarm 0.75 0.038 0.769 0.75 0.759 0.96 waist Weighted Avg. 0.749 0.042 0.749 0.749 0.749 0.957 === Confusion Matrix === a b c d e f g <-- classified as 759 35 69 7 24 74 26 | a = chest 34 758 64 9 21 28 77 | b = forearm 44 71 677 17 52 90 44 | c = head 10 24 20 828 57 38 19 | d = shin 39 17 26 48 782 62 22 | e = thigh 97 48 65 28 55 665 37 | f = upperarm 44 57 38 27 43 42 751 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 5190 74.4727 % Incorrectly Classified Instances 1779 25.5273 % Kappa statistic 0.7022 Mean absolute error 0.1209 Root mean squared error 0.2297 Relative absolute error 49.3515 % Root relative squared error 65.636 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.792 0.051 0.721 0.792 0.755 0.961 chest 0.756 0.043 0.742 0.756 0.749 0.958 forearm 0.637 0.048 0.689 0.637 0.662 0.932 head 0.813 0.024 0.848 0.813 0.83 0.978 shin 0.754 0.035 0.782 0.754 0.768 0.962 thigh 0.667 0.06 0.65 0.667 0.659 0.935 upperarm 0.793 0.036 0.786 0.793 0.789 0.965 waist Weighted Avg. 0.745 0.043 0.746 0.745 0.745 0.956 === Confusion Matrix === a b c d e f g <-- classified as 787 34 41 8 24 87 13 | a = chest 40 749 70 12 19 33 68 | b = forearm 55 90 634 31 43 95 47 | c = head 16 23 24 810 60 46 17 | d = shin 47 12 49 45 751 65 27 | e = thigh 105 43 74 33 31 664 45 | f = upperarm 42 58 28 16 32 31 795 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 5237 75.1579 % Incorrectly Classified Instances 1731 24.8421 % Kappa statistic 0.7102 Mean absolute error 0.1205 Root mean squared error 0.2278 Relative absolute error 49.2082 % Root relative squared error 65.0866 % Total Number of Instances 6968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.769 0.044 0.745 0.769 0.757 0.961 chest 0.763 0.043 0.748 0.763 0.755 0.964 forearm 0.686 0.054 0.68 0.686 0.683 0.939 head 0.829 0.024 0.854 0.829 0.842 0.982 shin 0.783 0.032 0.804 0.783 0.793 0.965 thigh 0.676 0.059 0.656 0.676 0.666 0.938 upperarm 0.753 0.035 0.782 0.753 0.768 0.963 waist Weighted Avg. 0.752 0.041 0.753 0.752 0.752 0.959 === Confusion Matrix === a b c d e f g <-- classified as 764 39 60 7 20 88 15 | a = chest 37 756 70 13 17 31 67 | b = forearm 53 70 683 19 44 89 37 | c = head 16 12 25 826 47 47 23 | d = shin 30 9 46 40 780 57 34 | e = thigh 88 57 69 40 34 673 34 | f = upperarm 37 68 51 22 28 41 755 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 5260 75.4879 % Incorrectly Classified Instances 1708 24.5121 % Kappa statistic 0.714 Mean absolute error 0.1185 Root mean squared error 0.2263 Relative absolute error 48.3915 % Root relative squared error 64.6656 % Total Number of Instances 6968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.768 0.047 0.732 0.768 0.75 0.963 chest 0.765 0.046 0.735 0.765 0.75 0.965 forearm 0.678 0.047 0.705 0.678 0.691 0.94 head 0.832 0.021 0.868 0.832 0.85 0.98 shin 0.752 0.032 0.795 0.752 0.773 0.961 thigh 0.696 0.055 0.679 0.696 0.688 0.941 upperarm 0.791 0.038 0.778 0.791 0.785 0.967 waist Weighted Avg. 0.755 0.041 0.756 0.755 0.755 0.96 === Confusion Matrix === a b c d e f g <-- classified as 763 42 49 2 26 85 26 | a = chest 32 758 77 9 12 27 76 | b = forearm 55 72 675 15 40 101 37 | c = head 9 25 17 829 55 41 20 | d = shin 54 19 49 49 749 45 31 | e = thigh 93 43 67 31 32 693 36 | f = upperarm 37 72 24 20 28 28 793 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 5174 74.2537 % Incorrectly Classified Instances 1794 25.7463 % Kappa statistic 0.6996 Mean absolute error 0.1209 Root mean squared error 0.2287 Relative absolute error 49.3569 % Root relative squared error 65.3545 % Total Number of Instances 6968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.774 0.044 0.744 0.774 0.759 0.963 chest 0.75 0.044 0.738 0.75 0.744 0.96 forearm 0.675 0.055 0.671 0.675 0.673 0.938 head 0.796 0.022 0.856 0.796 0.825 0.977 shin 0.776 0.042 0.753 0.776 0.765 0.965 thigh 0.666 0.053 0.677 0.666 0.672 0.935 upperarm 0.759 0.039 0.765 0.759 0.762 0.962 waist Weighted Avg. 0.743 0.043 0.744 0.743 0.743 0.957 === Confusion Matrix === a b c d e f g <-- classified as 769 30 53 5 25 84 27 | a = chest 38 743 77 10 26 30 67 | b = forearm 62 84 672 15 42 80 40 | c = head 9 20 26 793 72 51 25 | d = shin 46 15 49 39 773 39 35 | e = thigh 71 42 85 43 51 663 40 | f = upperarm 38 73 40 21 37 32 761 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 2 FOLD: 0 Correctly Classified Instances 5323 76.3811 % Incorrectly Classified Instances 1646 23.6189 % Kappa statistic 0.7244 Mean absolute error 0.1184 Root mean squared error 0.2257 Relative absolute error 48.3535 % Root relative squared error 64.4918 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.8 0.039 0.775 0.8 0.787 0.966 chest 0.779 0.043 0.752 0.779 0.765 0.964 forearm 0.684 0.049 0.7 0.684 0.692 0.94 head 0.835 0.022 0.866 0.835 0.85 0.98 shin 0.79 0.036 0.783 0.79 0.787 0.967 thigh 0.694 0.053 0.684 0.694 0.689 0.939 upperarm 0.763 0.034 0.791 0.763 0.777 0.963 waist Weighted Avg. 0.764 0.039 0.764 0.764 0.764 0.96 === Confusion Matrix === a b c d e f g <-- classified as 795 35 54 6 16 66 22 | a = chest 26 772 60 16 13 35 69 | b = forearm 44 76 681 20 48 80 46 | c = head 10 21 15 832 59 44 15 | d = shin 31 11 49 39 787 55 24 | e = thigh 92 42 77 23 44 691 26 | f = upperarm 28 70 37 25 38 39 765 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 5235 75.1184 % Incorrectly Classified Instances 1734 24.8816 % Kappa statistic 0.7097 Mean absolute error 0.12 Root mean squared error 0.2284 Relative absolute error 49.0151 % Root relative squared error 65.2773 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.771 0.045 0.739 0.771 0.754 0.957 chest 0.765 0.05 0.719 0.765 0.741 0.961 forearm 0.688 0.047 0.708 0.688 0.698 0.942 head 0.811 0.022 0.86 0.811 0.835 0.977 shin 0.77 0.034 0.788 0.77 0.779 0.962 thigh 0.679 0.055 0.673 0.679 0.676 0.941 upperarm 0.773 0.037 0.78 0.773 0.777 0.965 waist Weighted Avg. 0.751 0.041 0.753 0.751 0.752 0.958 === Confusion Matrix === a b c d e f g <-- classified as 766 41 53 9 22 80 23 | a = chest 37 758 63 7 15 32 79 | b = forearm 41 91 685 14 35 84 45 | c = head 8 31 23 808 63 41 22 | d = shin 44 12 36 50 767 67 20 | e = thigh 98 53 67 35 36 676 30 | f = upperarm 43 68 40 17 35 24 775 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 5175 74.2574 % Incorrectly Classified Instances 1794 25.7426 % Kappa statistic 0.6997 Mean absolute error 0.1213 Root mean squared error 0.2293 Relative absolute error 49.5179 % Root relative squared error 65.5232 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.795 0.051 0.721 0.795 0.756 0.964 chest 0.749 0.049 0.718 0.749 0.733 0.959 forearm 0.679 0.053 0.68 0.679 0.68 0.938 head 0.814 0.024 0.851 0.814 0.832 0.979 shin 0.751 0.036 0.777 0.751 0.764 0.961 thigh 0.663 0.051 0.684 0.663 0.673 0.94 upperarm 0.747 0.036 0.775 0.747 0.761 0.961 waist Weighted Avg. 0.743 0.043 0.744 0.743 0.743 0.957 === Confusion Matrix === a b c d e f g <-- classified as 790 49 47 2 18 67 21 | a = chest 37 742 83 19 20 23 67 | b = forearm 58 84 676 13 43 89 32 | c = head 6 22 26 811 65 47 19 | d = shin 49 12 47 53 748 52 35 | e = thigh 110 42 69 36 35 660 43 | f = upperarm 46 82 46 19 34 27 748 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 5264 75.5345 % Incorrectly Classified Instances 1705 24.4655 % Kappa statistic 0.7146 Mean absolute error 0.119 Root mean squared error 0.2263 Relative absolute error 48.5814 % Root relative squared error 64.6645 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.775 0.046 0.738 0.775 0.756 0.965 chest 0.767 0.04 0.758 0.767 0.763 0.968 forearm 0.695 0.056 0.674 0.695 0.684 0.938 head 0.832 0.022 0.862 0.832 0.847 0.977 shin 0.784 0.03 0.811 0.784 0.797 0.968 thigh 0.671 0.058 0.659 0.671 0.665 0.937 upperarm 0.763 0.033 0.797 0.763 0.78 0.967 waist Weighted Avg. 0.755 0.041 0.757 0.755 0.756 0.96 === Confusion Matrix === a b c d e f g <-- classified as 770 29 62 4 16 90 23 | a = chest 33 760 91 9 14 23 61 | b = forearm 56 71 692 19 34 94 30 | c = head 11 17 20 829 51 52 16 | d = shin 36 19 40 40 780 51 29 | e = thigh 99 43 78 35 36 668 36 | f = upperarm 38 63 43 26 31 36 765 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 5216 74.8457 % Incorrectly Classified Instances 1753 25.1543 % Kappa statistic 0.7065 Mean absolute error 0.1187 Root mean squared error 0.2265 Relative absolute error 48.4689 % Root relative squared error 64.7362 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.768 0.044 0.744 0.768 0.756 0.967 chest 0.78 0.046 0.74 0.78 0.759 0.967 forearm 0.672 0.047 0.703 0.672 0.687 0.942 head 0.821 0.026 0.842 0.821 0.831 0.979 shin 0.776 0.034 0.793 0.776 0.784 0.963 thigh 0.662 0.057 0.66 0.662 0.661 0.934 upperarm 0.759 0.04 0.759 0.759 0.759 0.961 waist Weighted Avg. 0.748 0.042 0.749 0.748 0.748 0.959 === Confusion Matrix === a b c d e f g <-- classified as 763 41 46 8 22 93 20 | a = chest 30 773 59 10 14 30 75 | b = forearm 51 90 669 25 46 69 46 | c = head 10 17 19 818 59 48 25 | d = shin 38 20 40 39 773 62 24 | e = thigh 91 43 77 40 34 659 51 | f = upperarm 43 61 41 32 27 37 761 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 5274 75.678 % Incorrectly Classified Instances 1695 24.322 % Kappa statistic 0.7162 Mean absolute error 0.1191 Root mean squared error 0.2265 Relative absolute error 48.638 % Root relative squared error 64.7373 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.798 0.042 0.758 0.798 0.777 0.966 chest 0.784 0.039 0.77 0.784 0.777 0.965 forearm 0.682 0.051 0.691 0.682 0.686 0.939 head 0.795 0.024 0.846 0.795 0.82 0.975 shin 0.768 0.04 0.761 0.768 0.765 0.964 thigh 0.678 0.053 0.681 0.678 0.68 0.938 upperarm 0.792 0.035 0.794 0.792 0.793 0.966 waist Weighted Avg. 0.757 0.041 0.757 0.757 0.757 0.959 === Confusion Matrix === a b c d e f g <-- classified as 792 30 56 6 19 69 21 | a = chest 32 777 68 12 22 30 50 | b = forearm 59 72 679 23 53 70 40 | c = head 17 16 27 792 69 54 21 | d = shin 37 16 41 44 765 64 29 | e = thigh 76 47 79 31 42 675 45 | f = upperarm 32 51 33 28 35 29 794 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 5257 75.4341 % Incorrectly Classified Instances 1712 24.5659 % Kappa statistic 0.7134 Mean absolute error 0.1196 Root mean squared error 0.2272 Relative absolute error 48.8297 % Root relative squared error 64.9211 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.779 0.04 0.763 0.779 0.771 0.965 chest 0.771 0.045 0.74 0.771 0.755 0.962 forearm 0.684 0.054 0.68 0.684 0.682 0.94 head 0.813 0.019 0.877 0.813 0.844 0.977 shin 0.786 0.036 0.785 0.786 0.785 0.962 thigh 0.69 0.054 0.682 0.69 0.686 0.942 upperarm 0.756 0.039 0.764 0.756 0.76 0.963 waist Weighted Avg. 0.754 0.041 0.756 0.754 0.755 0.959 === Confusion Matrix === a b c d e f g <-- classified as 774 30 56 2 21 81 29 | a = chest 31 764 73 10 22 23 68 | b = forearm 49 75 681 19 44 77 51 | c = head 13 25 34 810 55 37 22 | d = shin 34 14 39 35 783 63 28 | e = thigh 78 41 85 35 33 687 36 | f = upperarm 35 84 33 13 40 39 758 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 5184 74.3972 % Incorrectly Classified Instances 1784 25.6028 % Kappa statistic 0.7013 Mean absolute error 0.1207 Root mean squared error 0.2293 Relative absolute error 49.2963 % Root relative squared error 65.5417 % Total Number of Instances 6968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.751 0.045 0.734 0.751 0.742 0.96 chest 0.777 0.049 0.726 0.777 0.751 0.96 forearm 0.667 0.047 0.704 0.667 0.685 0.935 head 0.824 0.024 0.849 0.824 0.836 0.98 shin 0.764 0.035 0.782 0.764 0.773 0.962 thigh 0.662 0.056 0.664 0.662 0.663 0.933 upperarm 0.762 0.042 0.752 0.762 0.757 0.962 waist Weighted Avg. 0.744 0.043 0.744 0.744 0.744 0.956 === Confusion Matrix === a b c d e f g <-- classified as 746 37 64 6 23 86 31 | a = chest 32 769 57 11 20 30 71 | b = forearm 48 84 664 17 44 96 42 | c = head 13 19 26 821 58 37 22 | d = shin 49 13 30 52 761 50 41 | e = thigh 89 59 64 39 41 659 45 | f = upperarm 40 78 38 21 26 35 764 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 5254 75.4018 % Incorrectly Classified Instances 1714 24.5982 % Kappa statistic 0.713 Mean absolute error 0.1198 Root mean squared error 0.2271 Relative absolute error 48.9135 % Root relative squared error 64.8864 % Total Number of Instances 6968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.789 0.05 0.722 0.789 0.754 0.962 chest 0.787 0.041 0.76 0.787 0.773 0.967 forearm 0.685 0.048 0.702 0.685 0.694 0.947 head 0.805 0.02 0.873 0.805 0.838 0.978 shin 0.775 0.04 0.766 0.775 0.77 0.963 thigh 0.674 0.054 0.677 0.674 0.675 0.938 upperarm 0.763 0.034 0.789 0.763 0.776 0.961 waist Weighted Avg. 0.754 0.041 0.756 0.754 0.754 0.959 === Confusion Matrix === a b c d e f g <-- classified as 783 33 46 7 26 73 25 | a = chest 38 779 69 5 22 14 63 | b = forearm 68 72 682 11 47 84 31 | c = head 14 22 28 802 58 51 21 | d = shin 38 9 42 46 772 64 25 | e = thigh 99 41 66 33 46 671 40 | f = upperarm 44 69 38 15 37 34 765 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 5200 74.6269 % Incorrectly Classified Instances 1768 25.3731 % Kappa statistic 0.704 Mean absolute error 0.1212 Root mean squared error 0.2293 Relative absolute error 49.4699 % Root relative squared error 65.53 % Total Number of Instances 6968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.754 0.047 0.726 0.754 0.74 0.962 chest 0.774 0.045 0.739 0.774 0.756 0.962 forearm 0.673 0.05 0.694 0.673 0.683 0.941 head 0.826 0.021 0.867 0.826 0.846 0.978 shin 0.765 0.037 0.774 0.765 0.769 0.965 thigh 0.641 0.058 0.65 0.641 0.645 0.934 upperarm 0.79 0.038 0.778 0.79 0.784 0.964 waist Weighted Avg. 0.746 0.042 0.747 0.746 0.746 0.958 === Confusion Matrix === a b c d e f g <-- classified as 749 38 58 3 28 94 23 | a = chest 44 766 54 13 16 29 68 | b = forearm 59 76 670 15 47 85 43 | c = head 11 22 23 823 55 35 27 | d = shin 33 20 48 46 762 57 30 | e = thigh 105 53 82 32 51 638 35 | f = upperarm 31 61 31 17 26 44 792 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 3 FOLD: 0 Correctly Classified Instances 5271 75.635 % Incorrectly Classified Instances 1698 24.365 % Kappa statistic 0.7157 Mean absolute error 0.1188 Root mean squared error 0.2262 Relative absolute error 48.498 % Root relative squared error 64.6518 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.749 0.04 0.756 0.749 0.753 0.96 chest 0.775 0.043 0.749 0.775 0.762 0.964 forearm 0.676 0.052 0.683 0.676 0.679 0.945 head 0.825 0.019 0.878 0.825 0.851 0.979 shin 0.814 0.037 0.787 0.814 0.801 0.971 thigh 0.695 0.055 0.679 0.695 0.687 0.936 upperarm 0.759 0.038 0.77 0.759 0.765 0.96 waist Weighted Avg. 0.756 0.041 0.757 0.756 0.757 0.959 === Confusion Matrix === a b c d e f g <-- classified as 744 34 55 4 26 101 29 | a = chest 33 768 77 9 15 24 65 | b = forearm 45 80 673 14 52 88 44 | c = head 7 23 28 822 52 42 22 | d = shin 41 16 25 40 811 42 21 | e = thigh 71 35 79 29 43 692 46 | f = upperarm 43 70 49 18 31 30 761 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 5237 75.1471 % Incorrectly Classified Instances 1732 24.8529 % Kappa statistic 0.7101 Mean absolute error 0.1193 Root mean squared error 0.2274 Relative absolute error 48.7101 % Root relative squared error 64.988 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.765 0.045 0.74 0.765 0.752 0.963 chest 0.791 0.047 0.735 0.791 0.762 0.963 forearm 0.695 0.044 0.725 0.695 0.709 0.94 head 0.801 0.022 0.857 0.801 0.828 0.975 shin 0.792 0.038 0.779 0.792 0.785 0.967 thigh 0.654 0.058 0.651 0.654 0.653 0.932 upperarm 0.761 0.036 0.782 0.761 0.771 0.964 waist Weighted Avg. 0.751 0.041 0.753 0.751 0.752 0.958 === Confusion Matrix === a b c d e f g <-- classified as 760 37 41 8 26 93 28 | a = chest 27 784 60 16 19 24 61 | b = forearm 40 75 692 19 37 93 40 | c = head 11 22 22 798 71 50 22 | d = shin 37 13 40 36 789 54 27 | e = thigh 112 57 69 34 37 651 35 | f = upperarm 40 79 31 20 34 35 763 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 5287 75.8645 % Incorrectly Classified Instances 1682 24.1355 % Kappa statistic 0.7184 Mean absolute error 0.1186 Root mean squared error 0.226 Relative absolute error 48.4267 % Root relative squared error 64.5778 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.809 0.046 0.746 0.809 0.776 0.966 chest 0.774 0.046 0.736 0.774 0.755 0.965 forearm 0.678 0.047 0.705 0.678 0.691 0.94 head 0.823 0.022 0.86 0.823 0.841 0.977 shin 0.768 0.031 0.806 0.768 0.787 0.965 thigh 0.662 0.048 0.699 0.662 0.68 0.94 upperarm 0.796 0.042 0.761 0.796 0.779 0.965 waist Weighted Avg. 0.759 0.04 0.759 0.759 0.758 0.96 === Confusion Matrix === a b c d e f g <-- classified as 803 35 49 4 13 70 19 | a = chest 28 767 68 7 17 28 76 | b = forearm 56 85 675 19 33 75 53 | c = head 13 24 25 820 55 37 22 | d = shin 40 18 49 44 765 47 33 | e = thigh 98 44 68 38 41 659 47 | f = upperarm 38 69 24 21 25 27 798 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 5247 75.2906 % Incorrectly Classified Instances 1722 24.7094 % Kappa statistic 0.7117 Mean absolute error 0.1205 Root mean squared error 0.2275 Relative absolute error 49.1983 % Root relative squared error 65.0096 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.779 0.043 0.751 0.779 0.765 0.966 chest 0.746 0.04 0.757 0.746 0.751 0.959 forearm 0.657 0.051 0.684 0.657 0.67 0.935 head 0.812 0.023 0.852 0.812 0.832 0.979 shin 0.801 0.039 0.773 0.801 0.787 0.966 thigh 0.686 0.056 0.672 0.686 0.679 0.94 upperarm 0.788 0.037 0.784 0.788 0.786 0.967 waist Weighted Avg. 0.753 0.041 0.753 0.753 0.753 0.959 === Confusion Matrix === a b c d e f g <-- classified as 774 37 66 1 24 68 23 | a = chest 41 739 69 14 21 33 74 | b = forearm 46 78 654 29 52 105 32 | c = head 11 16 24 809 66 44 26 | d = shin 34 16 44 42 798 44 18 | e = thigh 94 35 59 37 42 683 45 | f = upperarm 31 55 40 17 30 39 790 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 5194 74.5301 % Incorrectly Classified Instances 1775 25.4699 % Kappa statistic 0.7029 Mean absolute error 0.1199 Root mean squared error 0.2286 Relative absolute error 48.9562 % Root relative squared error 65.3253 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.77 0.044 0.743 0.77 0.756 0.962 chest 0.777 0.049 0.725 0.777 0.75 0.963 forearm 0.673 0.047 0.706 0.673 0.689 0.94 head 0.806 0.021 0.865 0.806 0.835 0.976 shin 0.755 0.04 0.76 0.755 0.758 0.96 thigh 0.661 0.06 0.649 0.661 0.655 0.933 upperarm 0.774 0.037 0.778 0.774 0.776 0.963 waist Weighted Avg. 0.745 0.042 0.747 0.745 0.746 0.957 === Confusion Matrix === a b c d e f g <-- classified as 765 43 47 3 25 80 31 | a = chest 38 770 68 12 20 17 66 | b = forearm 55 83 670 18 46 93 30 | c = head 11 15 21 803 65 57 24 | d = shin 39 21 36 44 752 72 32 | e = thigh 89 56 81 29 44 658 38 | f = upperarm 33 74 26 19 37 37 776 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 5222 74.9318 % Incorrectly Classified Instances 1747 25.0682 % Kappa statistic 0.7075 Mean absolute error 0.1208 Root mean squared error 0.2287 Relative absolute error 49.3113 % Root relative squared error 65.3567 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.773 0.047 0.731 0.773 0.751 0.96 chest 0.777 0.042 0.755 0.777 0.766 0.969 forearm 0.652 0.053 0.673 0.652 0.663 0.93 head 0.815 0.02 0.872 0.815 0.843 0.98 shin 0.778 0.037 0.78 0.778 0.779 0.963 thigh 0.686 0.06 0.657 0.686 0.671 0.938 upperarm 0.764 0.035 0.788 0.764 0.776 0.962 waist Weighted Avg. 0.749 0.042 0.751 0.749 0.75 0.957 === Confusion Matrix === a b c d e f g <-- classified as 768 30 53 9 28 85 21 | a = chest 36 769 71 6 16 30 62 | b = forearm 73 73 649 14 47 93 46 | c = head 10 29 28 812 58 35 24 | d = shin 39 10 44 41 775 65 22 | e = thigh 88 41 78 28 47 683 31 | f = upperarm 37 66 41 21 23 48 766 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 5291 75.9219 % Incorrectly Classified Instances 1678 24.0781 % Kappa statistic 0.7191 Mean absolute error 0.1196 Root mean squared error 0.227 Relative absolute error 48.8548 % Root relative squared error 64.8814 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.8 0.047 0.739 0.8 0.768 0.966 chest 0.767 0.038 0.771 0.767 0.769 0.965 forearm 0.706 0.048 0.711 0.706 0.708 0.945 head 0.803 0.021 0.867 0.803 0.834 0.975 shin 0.773 0.033 0.795 0.773 0.784 0.964 thigh 0.696 0.054 0.681 0.696 0.689 0.941 upperarm 0.77 0.04 0.762 0.77 0.766 0.963 waist Weighted Avg. 0.759 0.04 0.761 0.759 0.76 0.96 === Confusion Matrix === a b c d e f g <-- classified as 795 31 47 3 22 69 27 | a = chest 38 759 59 11 10 32 81 | b = forearm 54 61 702 13 35 83 47 | c = head 14 18 22 800 71 51 20 | d = shin 37 14 36 48 770 59 32 | e = thigh 102 38 77 24 28 693 34 | f = upperarm 36 63 44 24 33 30 772 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 5215 74.8421 % Incorrectly Classified Instances 1753 25.1579 % Kappa statistic 0.7065 Mean absolute error 0.1202 Root mean squared error 0.2278 Relative absolute error 49.0681 % Root relative squared error 65.1123 % Total Number of Instances 6968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.777 0.044 0.745 0.777 0.761 0.964 chest 0.779 0.046 0.736 0.779 0.757 0.962 forearm 0.688 0.052 0.686 0.688 0.687 0.943 head 0.834 0.023 0.857 0.834 0.845 0.978 shin 0.755 0.035 0.781 0.755 0.768 0.961 thigh 0.643 0.054 0.664 0.643 0.653 0.937 upperarm 0.763 0.038 0.771 0.763 0.767 0.962 waist Weighted Avg. 0.748 0.042 0.749 0.748 0.748 0.958 === Confusion Matrix === a b c d e f g <-- classified as 772 37 53 7 17 77 31 | a = chest 27 771 73 14 14 25 66 | b = forearm 48 80 685 15 44 86 37 | c = head 7 19 18 831 59 46 16 | d = shin 48 11 45 39 751 61 40 | e = thigh 98 55 86 39 41 640 37 | f = upperarm 36 74 38 25 35 29 765 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 5243 75.244 % Incorrectly Classified Instances 1725 24.756 % Kappa statistic 0.7112 Mean absolute error 0.1199 Root mean squared error 0.2287 Relative absolute error 48.9624 % Root relative squared error 65.356 % Total Number of Instances 6968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.783 0.046 0.74 0.783 0.761 0.963 chest 0.75 0.043 0.744 0.75 0.747 0.961 forearm 0.674 0.048 0.702 0.674 0.688 0.937 head 0.827 0.023 0.856 0.827 0.841 0.977 shin 0.752 0.036 0.777 0.752 0.764 0.959 thigh 0.699 0.058 0.668 0.699 0.683 0.937 upperarm 0.78 0.035 0.788 0.78 0.784 0.968 waist Weighted Avg. 0.752 0.041 0.753 0.752 0.753 0.957 === Confusion Matrix === a b c d e f g <-- classified as 778 25 60 4 23 87 16 | a = chest 45 743 69 10 21 34 69 | b = forearm 60 76 671 20 46 86 36 | c = head 7 23 23 824 50 56 13 | d = shin 41 21 41 51 749 57 36 | e = thigh 95 47 50 31 36 696 40 | f = upperarm 26 64 42 23 39 26 782 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 5246 75.287 % Incorrectly Classified Instances 1722 24.713 % Kappa statistic 0.7117 Mean absolute error 0.1204 Root mean squared error 0.2282 Relative absolute error 49.1806 % Root relative squared error 65.201 % Total Number of Instances 6968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.775 0.045 0.74 0.775 0.758 0.964 chest 0.769 0.05 0.717 0.769 0.742 0.959 forearm 0.69 0.051 0.695 0.69 0.693 0.94 head 0.833 0.022 0.861 0.833 0.847 0.98 shin 0.777 0.033 0.799 0.777 0.788 0.962 thigh 0.67 0.051 0.686 0.67 0.678 0.939 upperarm 0.754 0.036 0.779 0.754 0.767 0.96 waist Weighted Avg. 0.753 0.041 0.754 0.753 0.753 0.958 === Confusion Matrix === a b c d e f g <-- classified as 770 38 52 5 26 79 23 | a = chest 33 762 78 10 15 26 67 | b = forearm 40 95 687 10 43 79 41 | c = head 10 21 22 830 45 40 28 | d = shin 45 16 32 48 774 53 28 | e = thigh 101 56 72 35 37 667 27 | f = upperarm 41 75 46 26 29 29 756 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 4 FOLD: 0 Correctly Classified Instances 5205 74.6879 % Incorrectly Classified Instances 1764 25.3121 % Kappa statistic 0.7047 Mean absolute error 0.1205 Root mean squared error 0.2286 Relative absolute error 49.2125 % Root relative squared error 65.3414 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.783 0.045 0.743 0.783 0.763 0.963 chest 0.766 0.047 0.728 0.766 0.747 0.963 forearm 0.685 0.049 0.701 0.685 0.693 0.94 head 0.818 0.025 0.843 0.818 0.83 0.978 shin 0.768 0.04 0.763 0.768 0.765 0.963 thigh 0.64 0.051 0.676 0.64 0.658 0.935 upperarm 0.767 0.038 0.773 0.767 0.77 0.965 waist Weighted Avg. 0.747 0.042 0.747 0.747 0.747 0.958 === Confusion Matrix === a b c d e f g <-- classified as 778 37 60 5 16 72 25 | a = chest 35 759 65 10 20 26 76 | b = forearm 44 79 682 25 50 79 37 | c = head 10 24 18 815 68 48 13 | d = shin 39 18 39 52 765 54 29 | e = thigh 101 53 74 38 46 637 46 | f = upperarm 40 72 35 22 38 26 769 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 5253 75.3767 % Incorrectly Classified Instances 1716 24.6233 % Kappa statistic 0.7127 Mean absolute error 0.12 Root mean squared error 0.2284 Relative absolute error 48.986 % Root relative squared error 65.2795 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.776 0.048 0.727 0.776 0.751 0.96 chest 0.775 0.047 0.731 0.775 0.753 0.961 forearm 0.679 0.051 0.69 0.679 0.684 0.935 head 0.819 0.02 0.87 0.819 0.844 0.98 shin 0.775 0.033 0.798 0.775 0.787 0.964 thigh 0.679 0.051 0.689 0.679 0.684 0.939 upperarm 0.772 0.037 0.779 0.772 0.776 0.963 waist Weighted Avg. 0.754 0.041 0.755 0.754 0.754 0.957 === Confusion Matrix === a b c d e f g <-- classified as 771 36 69 9 25 68 15 | a = chest 47 768 54 10 18 21 73 | b = forearm 48 85 676 14 40 84 49 | c = head 13 20 29 816 50 47 21 | d = shin 47 19 35 39 772 58 26 | e = thigh 99 48 72 31 34 676 35 | f = upperarm 35 74 45 19 28 27 774 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 5270 75.6206 % Incorrectly Classified Instances 1699 24.3794 % Kappa statistic 0.7156 Mean absolute error 0.1198 Root mean squared error 0.2275 Relative absolute error 48.9027 % Root relative squared error 65.0269 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.794 0.04 0.768 0.794 0.781 0.965 chest 0.78 0.046 0.738 0.78 0.759 0.963 forearm 0.67 0.044 0.718 0.67 0.693 0.938 head 0.825 0.026 0.841 0.825 0.833 0.978 shin 0.779 0.035 0.788 0.779 0.783 0.967 thigh 0.674 0.057 0.662 0.674 0.668 0.936 upperarm 0.771 0.037 0.779 0.771 0.775 0.965 waist Weighted Avg. 0.756 0.041 0.756 0.756 0.756 0.959 === Confusion Matrix === a b c d e f g <-- classified as 788 36 41 2 17 83 26 | a = chest 36 773 60 13 15 30 64 | b = forearm 48 87 667 18 49 90 37 | c = head 9 22 19 822 56 42 26 | d = shin 45 9 26 54 776 59 27 | e = thigh 79 48 75 44 39 671 39 | f = upperarm 21 72 41 24 33 38 773 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 5224 74.9605 % Incorrectly Classified Instances 1745 25.0395 % Kappa statistic 0.7079 Mean absolute error 0.1203 Root mean squared error 0.2286 Relative absolute error 49.1081 % Root relative squared error 65.3289 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.791 0.047 0.738 0.791 0.763 0.963 chest 0.774 0.042 0.752 0.774 0.763 0.968 forearm 0.686 0.053 0.684 0.686 0.685 0.942 head 0.794 0.021 0.864 0.794 0.828 0.974 shin 0.733 0.034 0.78 0.733 0.756 0.958 thigh 0.697 0.056 0.674 0.697 0.686 0.943 upperarm 0.772 0.039 0.769 0.772 0.771 0.963 waist Weighted Avg. 0.75 0.042 0.752 0.75 0.75 0.959 === Confusion Matrix === a b c d e f g <-- classified as 785 36 59 3 13 70 27 | a = chest 37 767 74 6 13 26 68 | b = forearm 54 70 683 20 52 75 42 | c = head 17 20 27 791 61 55 25 | d = shin 37 15 48 57 730 74 35 | e = thigh 94 41 70 23 37 694 36 | f = upperarm 40 71 37 15 30 35 774 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 5252 75.3623 % Incorrectly Classified Instances 1717 24.6377 % Kappa statistic 0.7126 Mean absolute error 0.1194 Root mean squared error 0.2265 Relative absolute error 48.7588 % Root relative squared error 64.719 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.756 0.047 0.728 0.756 0.742 0.963 chest 0.777 0.044 0.747 0.777 0.762 0.964 forearm 0.688 0.048 0.707 0.688 0.698 0.945 head 0.825 0.021 0.869 0.825 0.847 0.979 shin 0.774 0.035 0.788 0.774 0.781 0.968 thigh 0.678 0.057 0.666 0.678 0.672 0.937 upperarm 0.776 0.037 0.78 0.776 0.778 0.959 waist Weighted Avg. 0.754 0.041 0.755 0.754 0.754 0.959 === Confusion Matrix === a b c d e f g <-- classified as 751 44 62 4 24 90 18 | a = chest 30 770 59 14 24 24 70 | b = forearm 54 81 685 10 38 93 34 | c = head 6 22 28 822 51 39 28 | d = shin 47 8 41 44 771 61 24 | e = thigh 97 45 59 34 40 675 46 | f = upperarm 47 61 35 18 31 32 778 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 5241 75.2045 % Incorrectly Classified Instances 1728 24.7955 % Kappa statistic 0.7107 Mean absolute error 0.12 Root mean squared error 0.2279 Relative absolute error 48.9917 % Root relative squared error 65.1283 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.776 0.048 0.729 0.776 0.752 0.963 chest 0.761 0.043 0.744 0.761 0.752 0.963 forearm 0.694 0.049 0.702 0.694 0.698 0.942 head 0.825 0.022 0.862 0.825 0.843 0.979 shin 0.777 0.041 0.76 0.777 0.769 0.961 thigh 0.67 0.049 0.695 0.67 0.682 0.934 upperarm 0.76 0.037 0.778 0.76 0.769 0.96 waist Weighted Avg. 0.752 0.041 0.753 0.752 0.752 0.958 === Confusion Matrix === a b c d e f g <-- classified as 771 37 54 5 26 75 25 | a = chest 32 754 78 14 11 21 81 | b = forearm 64 70 691 19 54 67 30 | c = head 12 21 17 822 65 42 17 | d = shin 37 21 39 33 774 55 37 | e = thigh 101 49 75 33 43 667 28 | f = upperarm 41 62 31 28 45 33 762 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 5249 75.3193 % Incorrectly Classified Instances 1720 24.6807 % Kappa statistic 0.7121 Mean absolute error 0.1193 Root mean squared error 0.2268 Relative absolute error 48.6939 % Root relative squared error 64.802 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.772 0.04 0.762 0.772 0.767 0.962 chest 0.768 0.047 0.732 0.768 0.75 0.964 forearm 0.694 0.049 0.703 0.694 0.699 0.945 head 0.809 0.022 0.86 0.809 0.834 0.977 shin 0.764 0.036 0.778 0.764 0.771 0.96 thigh 0.682 0.057 0.668 0.682 0.675 0.939 upperarm 0.783 0.038 0.778 0.783 0.781 0.967 waist Weighted Avg. 0.753 0.041 0.754 0.753 0.754 0.959 === Confusion Matrix === a b c d e f g <-- classified as 767 45 53 5 23 83 18 | a = chest 33 761 77 11 16 23 70 | b = forearm 41 69 691 16 45 92 41 | c = head 12 22 16 806 75 42 23 | d = shin 28 22 50 44 760 65 26 | e = thigh 94 52 64 36 25 679 46 | f = upperarm 32 68 32 19 33 33 785 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 5263 75.531 % Incorrectly Classified Instances 1705 24.469 % Kappa statistic 0.7145 Mean absolute error 0.1197 Root mean squared error 0.2275 Relative absolute error 48.8817 % Root relative squared error 65.0122 % Total Number of Instances 6968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.795 0.044 0.752 0.795 0.773 0.964 chest 0.779 0.044 0.745 0.779 0.761 0.961 forearm 0.66 0.05 0.686 0.66 0.673 0.936 head 0.817 0.021 0.868 0.817 0.842 0.98 shin 0.758 0.035 0.784 0.758 0.771 0.962 thigh 0.68 0.051 0.692 0.68 0.686 0.938 upperarm 0.797 0.041 0.765 0.797 0.781 0.966 waist Weighted Avg. 0.755 0.041 0.756 0.755 0.755 0.958 === Confusion Matrix === a b c d e f g <-- classified as 790 34 39 4 25 71 31 | a = chest 33 771 68 10 20 15 73 | b = forearm 62 88 657 14 41 90 43 | c = head 8 20 27 814 50 49 28 | d = shin 49 18 50 47 755 45 32 | e = thigh 83 35 85 34 43 677 38 | f = upperarm 26 69 32 15 29 32 799 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 5243 75.244 % Incorrectly Classified Instances 1725 24.756 % Kappa statistic 0.7112 Mean absolute error 0.1202 Root mean squared error 0.2278 Relative absolute error 49.0617 % Root relative squared error 65.0903 % Total Number of Instances 6968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.787 0.043 0.755 0.787 0.77 0.964 chest 0.763 0.043 0.747 0.763 0.755 0.962 forearm 0.695 0.051 0.696 0.695 0.696 0.945 head 0.809 0.022 0.857 0.809 0.833 0.976 shin 0.786 0.037 0.781 0.786 0.784 0.963 thigh 0.665 0.057 0.662 0.665 0.664 0.934 upperarm 0.761 0.037 0.775 0.761 0.768 0.962 waist Weighted Avg. 0.752 0.041 0.753 0.752 0.753 0.958 === Confusion Matrix === a b c d e f g <-- classified as 782 32 55 3 22 78 22 | a = chest 38 755 70 13 17 33 64 | b = forearm 42 77 692 18 37 83 46 | c = head 11 22 22 806 64 51 20 | d = shin 37 11 45 43 783 54 23 | e = thigh 92 49 73 30 42 662 47 | f = upperarm 34 65 37 27 37 39 763 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 5234 75.1148 % Incorrectly Classified Instances 1734 24.8852 % Kappa statistic 0.7097 Mean absolute error 0.1187 Root mean squared error 0.2259 Relative absolute error 48.4573 % Root relative squared error 64.5444 % Total Number of Instances 6968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.776 0.04 0.764 0.776 0.77 0.966 chest 0.766 0.038 0.767 0.766 0.766 0.966 forearm 0.647 0.052 0.673 0.647 0.66 0.933 head 0.821 0.024 0.852 0.821 0.836 0.979 shin 0.788 0.041 0.761 0.788 0.774 0.967 thigh 0.677 0.055 0.671 0.677 0.674 0.935 upperarm 0.782 0.039 0.77 0.782 0.776 0.965 waist Weighted Avg. 0.751 0.041 0.751 0.751 0.751 0.959 === Confusion Matrix === a b c d e f g <-- classified as 771 27 50 10 33 75 28 | a = chest 29 758 80 6 14 25 78 | b = forearm 56 76 644 19 49 107 44 | c = head 9 25 20 818 60 42 22 | d = shin 32 13 37 55 785 47 27 | e = thigh 76 45 82 32 51 674 35 | f = upperarm 36 44 44 20 40 34 784 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 5 FOLD: 0 Correctly Classified Instances 5203 74.6592 % Incorrectly Classified Instances 1766 25.3408 % Kappa statistic 0.7044 Mean absolute error 0.1192 Root mean squared error 0.2274 Relative absolute error 48.6713 % Root relative squared error 64.9993 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.768 0.045 0.74 0.768 0.754 0.964 chest 0.771 0.04 0.761 0.771 0.766 0.966 forearm 0.685 0.054 0.679 0.685 0.682 0.939 head 0.821 0.023 0.857 0.821 0.839 0.978 shin 0.744 0.036 0.777 0.744 0.76 0.965 thigh 0.663 0.059 0.652 0.663 0.657 0.933 upperarm 0.774 0.039 0.768 0.774 0.771 0.965 waist Weighted Avg. 0.747 0.042 0.748 0.747 0.747 0.959 === Confusion Matrix === a b c d e f g <-- classified as 763 26 52 3 24 92 34 | a = chest 34 763 72 9 21 20 71 | b = forearm 52 74 682 16 44 89 39 | c = head 14 21 24 818 45 48 26 | d = shin 38 12 52 61 741 64 28 | e = thigh 94 43 87 29 46 660 36 | f = upperarm 36 64 35 18 33 40 776 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 5208 74.731 % Incorrectly Classified Instances 1761 25.269 % Kappa statistic 0.7052 Mean absolute error 0.1204 Root mean squared error 0.2292 Relative absolute error 49.1727 % Root relative squared error 65.5046 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.786 0.046 0.741 0.786 0.763 0.965 chest 0.761 0.044 0.743 0.761 0.751 0.964 forearm 0.673 0.049 0.696 0.673 0.684 0.937 head 0.821 0.026 0.842 0.821 0.832 0.977 shin 0.766 0.039 0.766 0.766 0.766 0.961 thigh 0.668 0.053 0.678 0.668 0.673 0.935 upperarm 0.756 0.039 0.765 0.756 0.761 0.959 waist Weighted Avg. 0.747 0.042 0.747 0.747 0.747 0.957 === Confusion Matrix === a b c d e f g <-- classified as 781 44 50 4 27 68 20 | a = chest 29 753 63 10 12 38 85 | b = forearm 51 84 670 25 49 75 42 | c = head 5 18 31 818 67 42 15 | d = shin 46 15 27 61 763 55 29 | e = thigh 104 47 74 28 35 665 42 | f = upperarm 38 53 47 25 43 38 758 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 5216 74.8457 % Incorrectly Classified Instances 1753 25.1543 % Kappa statistic 0.7065 Mean absolute error 0.121 Root mean squared error 0.2292 Relative absolute error 49.3938 % Root relative squared error 65.498 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.792 0.045 0.746 0.792 0.768 0.961 chest 0.751 0.046 0.73 0.751 0.74 0.96 forearm 0.678 0.053 0.683 0.678 0.68 0.937 head 0.813 0.021 0.864 0.813 0.838 0.98 shin 0.779 0.042 0.756 0.779 0.767 0.961 thigh 0.661 0.05 0.69 0.661 0.675 0.935 upperarm 0.765 0.037 0.776 0.765 0.77 0.958 waist Weighted Avg. 0.748 0.042 0.749 0.748 0.748 0.956 === Confusion Matrix === a b c d e f g <-- classified as 787 30 49 6 28 67 27 | a = chest 45 743 73 8 18 31 72 | b = forearm 47 83 675 16 39 83 53 | c = head 10 20 17 810 85 36 18 | d = shin 44 22 56 31 776 47 20 | e = thigh 88 47 77 44 49 658 32 | f = upperarm 34 73 42 22 32 32 767 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 5237 75.1471 % Incorrectly Classified Instances 1732 24.8529 % Kappa statistic 0.71 Mean absolute error 0.121 Root mean squared error 0.229 Relative absolute error 49.4231 % Root relative squared error 65.4478 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.786 0.04 0.764 0.786 0.775 0.967 chest 0.76 0.037 0.772 0.76 0.766 0.961 forearm 0.681 0.051 0.692 0.681 0.686 0.941 head 0.802 0.022 0.861 0.802 0.831 0.975 shin 0.767 0.042 0.752 0.767 0.759 0.956 thigh 0.68 0.06 0.653 0.68 0.667 0.938 upperarm 0.784 0.038 0.777 0.784 0.781 0.965 waist Weighted Avg. 0.751 0.041 0.753 0.751 0.752 0.958 === Confusion Matrix === a b c d e f g <-- classified as 781 29 46 3 23 90 22 | a = chest 31 753 78 7 21 32 69 | b = forearm 50 56 678 14 60 99 39 | c = head 10 18 30 799 63 51 25 | d = shin 32 24 33 49 763 61 33 | e = thigh 85 38 79 29 49 677 38 | f = upperarm 33 58 36 27 36 26 786 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 5327 76.4385 % Incorrectly Classified Instances 1642 23.5615 % Kappa statistic 0.7251 Mean absolute error 0.1186 Root mean squared error 0.2254 Relative absolute error 48.447 % Root relative squared error 64.4062 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.787 0.041 0.761 0.787 0.774 0.966 chest 0.8 0.043 0.756 0.8 0.777 0.967 forearm 0.675 0.043 0.726 0.675 0.7 0.942 head 0.838 0.023 0.857 0.838 0.848 0.979 shin 0.78 0.031 0.809 0.78 0.794 0.963 thigh 0.698 0.059 0.664 0.698 0.681 0.938 upperarm 0.772 0.036 0.784 0.772 0.778 0.964 waist Weighted Avg. 0.764 0.039 0.765 0.764 0.765 0.96 === Confusion Matrix === a b c d e f g <-- classified as 781 36 49 5 16 82 24 | a = chest 23 793 61 9 14 27 64 | b = forearm 45 88 672 18 39 94 39 | c = head 8 16 24 835 53 43 17 | d = shin 37 11 34 41 777 68 28 | e = thigh 94 37 57 41 31 695 41 | f = upperarm 38 68 29 25 31 37 774 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 5244 75.2475 % Incorrectly Classified Instances 1725 24.7525 % Kappa statistic 0.7112 Mean absolute error 0.1203 Root mean squared error 0.2279 Relative absolute error 49.1168 % Root relative squared error 65.1282 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.797 0.046 0.744 0.797 0.769 0.964 chest 0.78 0.048 0.731 0.78 0.755 0.96 forearm 0.682 0.047 0.706 0.682 0.694 0.943 head 0.817 0.022 0.861 0.817 0.839 0.976 shin 0.781 0.039 0.77 0.781 0.775 0.967 thigh 0.682 0.053 0.682 0.682 0.682 0.937 upperarm 0.729 0.034 0.781 0.729 0.754 0.959 waist Weighted Avg. 0.752 0.041 0.754 0.752 0.753 0.958 === Confusion Matrix === a b c d e f g <-- classified as 791 46 47 6 19 71 13 | a = chest 32 773 63 12 19 25 67 | b = forearm 57 62 679 18 49 85 45 | c = head 6 27 28 814 64 38 19 | d = shin 35 16 41 43 778 57 26 | e = thigh 96 56 62 35 33 679 35 | f = upperarm 46 77 42 17 49 41 730 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 5250 75.3336 % Incorrectly Classified Instances 1719 24.6664 % Kappa statistic 0.7122 Mean absolute error 0.1193 Root mean squared error 0.227 Relative absolute error 48.7031 % Root relative squared error 64.8737 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.771 0.044 0.747 0.771 0.759 0.966 chest 0.767 0.044 0.744 0.767 0.755 0.963 forearm 0.67 0.051 0.685 0.67 0.678 0.942 head 0.833 0.021 0.869 0.833 0.851 0.979 shin 0.749 0.037 0.771 0.749 0.76 0.959 thigh 0.685 0.052 0.688 0.685 0.686 0.94 upperarm 0.797 0.039 0.773 0.797 0.785 0.969 waist Weighted Avg. 0.753 0.041 0.754 0.753 0.753 0.96 === Confusion Matrix === a b c d e f g <-- classified as 766 26 66 4 22 87 22 | a = chest 34 760 68 9 27 15 78 | b = forearm 58 79 667 20 48 86 37 | c = head 6 28 19 830 54 35 24 | d = shin 40 13 53 44 746 65 35 | e = thigh 81 45 70 35 44 682 39 | f = upperarm 41 70 31 13 26 22 799 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 5251 75.3588 % Incorrectly Classified Instances 1717 24.6412 % Kappa statistic 0.7125 Mean absolute error 0.119 Root mean squared error 0.226 Relative absolute error 48.5731 % Root relative squared error 64.5877 % Total Number of Instances 6968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.775 0.039 0.765 0.775 0.77 0.966 chest 0.789 0.049 0.728 0.789 0.757 0.964 forearm 0.661 0.049 0.693 0.661 0.677 0.938 head 0.817 0.022 0.863 0.817 0.84 0.978 shin 0.787 0.034 0.794 0.787 0.79 0.968 thigh 0.678 0.054 0.677 0.678 0.678 0.937 upperarm 0.766 0.041 0.76 0.766 0.763 0.964 waist Weighted Avg. 0.754 0.041 0.754 0.754 0.754 0.96 === Confusion Matrix === a b c d e f g <-- classified as 770 41 55 5 27 73 22 | a = chest 32 782 56 14 10 25 72 | b = forearm 50 106 658 21 37 91 32 | c = head 12 13 22 814 56 41 38 | d = shin 30 18 42 30 784 57 35 | e = thigh 82 46 73 35 41 675 43 | f = upperarm 30 68 44 24 33 35 768 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 5194 74.5408 % Incorrectly Classified Instances 1774 25.4592 % Kappa statistic 0.703 Mean absolute error 0.1198 Root mean squared error 0.2275 Relative absolute error 48.911 % Root relative squared error 65.0064 % Total Number of Instances 6968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.746 0.048 0.722 0.746 0.734 0.958 chest 0.749 0.046 0.73 0.749 0.739 0.96 forearm 0.691 0.053 0.684 0.691 0.688 0.945 head 0.817 0.023 0.856 0.817 0.836 0.979 shin 0.772 0.034 0.79 0.772 0.781 0.968 thigh 0.677 0.057 0.663 0.677 0.67 0.938 upperarm 0.764 0.035 0.784 0.764 0.774 0.964 waist Weighted Avg. 0.745 0.042 0.747 0.745 0.746 0.959 === Confusion Matrix === a b c d e f g <-- classified as 741 40 65 6 32 84 25 | a = chest 38 742 88 12 23 21 67 | b = forearm 54 74 688 13 40 87 39 | c = head 15 23 24 814 49 52 19 | d = shin 47 12 43 48 769 60 17 | e = thigh 97 47 65 37 31 674 44 | f = upperarm 35 79 33 21 30 38 766 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 5304 76.1194 % Incorrectly Classified Instances 1664 23.8806 % Kappa statistic 0.7214 Mean absolute error 0.1194 Root mean squared error 0.2265 Relative absolute error 48.7598 % Root relative squared error 64.7171 % Total Number of Instances 6968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.771 0.047 0.734 0.771 0.752 0.959 chest 0.793 0.042 0.756 0.793 0.774 0.967 forearm 0.701 0.046 0.719 0.701 0.71 0.941 head 0.819 0.022 0.859 0.819 0.839 0.979 shin 0.781 0.031 0.806 0.781 0.793 0.967 thigh 0.68 0.055 0.674 0.68 0.677 0.938 upperarm 0.782 0.036 0.787 0.782 0.785 0.964 waist Weighted Avg. 0.761 0.04 0.762 0.761 0.761 0.959 === Confusion Matrix === a b c d e f g <-- classified as 766 35 64 3 21 80 24 | a = chest 34 786 57 13 13 23 65 | b = forearm 48 70 697 12 40 89 39 | c = head 16 25 23 816 57 40 19 | d = shin 38 13 27 53 778 60 27 | e = thigh 105 51 65 28 31 677 38 | f = upperarm 37 59 36 25 25 36 784 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 6 FOLD: 0 Correctly Classified Instances 5233 75.0897 % Incorrectly Classified Instances 1736 24.9103 % Kappa statistic 0.7094 Mean absolute error 0.1195 Root mean squared error 0.2277 Relative absolute error 48.7853 % Root relative squared error 65.0687 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.769 0.043 0.748 0.769 0.758 0.961 chest 0.771 0.046 0.735 0.771 0.753 0.964 forearm 0.685 0.05 0.697 0.685 0.691 0.94 head 0.822 0.021 0.867 0.822 0.844 0.982 shin 0.772 0.04 0.762 0.772 0.767 0.964 thigh 0.679 0.055 0.674 0.679 0.676 0.938 upperarm 0.757 0.036 0.781 0.757 0.769 0.962 waist Weighted Avg. 0.751 0.042 0.752 0.751 0.751 0.959 === Confusion Matrix === a b c d e f g <-- classified as 764 43 47 5 27 84 23 | a = chest 32 764 69 9 25 21 71 | b = forearm 50 80 682 14 48 78 43 | c = head 8 22 21 819 63 49 14 | d = shin 45 16 32 51 769 55 28 | e = thigh 87 50 82 23 44 676 34 | f = upperarm 36 64 46 24 33 40 759 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 5293 75.9506 % Incorrectly Classified Instances 1676 24.0494 % Kappa statistic 0.7194 Mean absolute error 0.1187 Root mean squared error 0.2261 Relative absolute error 48.4798 % Root relative squared error 64.6045 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.784 0.043 0.753 0.784 0.769 0.964 chest 0.779 0.045 0.742 0.779 0.76 0.962 forearm 0.687 0.045 0.718 0.687 0.703 0.94 head 0.838 0.022 0.864 0.838 0.851 0.979 shin 0.777 0.036 0.782 0.777 0.779 0.964 thigh 0.672 0.056 0.666 0.672 0.669 0.936 upperarm 0.778 0.034 0.794 0.778 0.786 0.968 waist Weighted Avg. 0.76 0.04 0.76 0.76 0.76 0.959 === Confusion Matrix === a b c d e f g <-- classified as 779 36 53 7 19 78 21 | a = chest 26 772 69 4 20 36 64 | b = forearm 55 76 684 20 46 87 27 | c = head 8 22 21 835 51 38 21 | d = shin 40 18 31 41 774 65 27 | e = thigh 91 42 69 36 47 669 42 | f = upperarm 35 74 25 23 33 32 780 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 5158 74.0135 % Incorrectly Classified Instances 1811 25.9865 % Kappa statistic 0.6968 Mean absolute error 0.1212 Root mean squared error 0.2299 Relative absolute error 49.5095 % Root relative squared error 65.7067 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.756 0.045 0.736 0.756 0.746 0.962 chest 0.758 0.044 0.739 0.758 0.748 0.962 forearm 0.691 0.053 0.687 0.691 0.689 0.939 head 0.798 0.025 0.839 0.798 0.818 0.973 shin 0.745 0.036 0.775 0.745 0.759 0.961 thigh 0.681 0.057 0.665 0.681 0.673 0.935 upperarm 0.751 0.043 0.748 0.751 0.75 0.958 waist Weighted Avg. 0.74 0.043 0.741 0.74 0.741 0.956 === Confusion Matrix === a b c d e f g <-- classified as 751 36 63 5 27 85 26 | a = chest 33 751 84 14 18 20 71 | b = forearm 54 72 688 12 33 91 45 | c = head 17 23 22 795 57 47 35 | d = shin 40 19 49 56 742 60 30 | e = thigh 87 44 57 41 42 678 47 | f = upperarm 38 71 39 24 39 38 753 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 5263 75.5202 % Incorrectly Classified Instances 1706 24.4798 % Kappa statistic 0.7144 Mean absolute error 0.1189 Root mean squared error 0.2267 Relative absolute error 48.5451 % Root relative squared error 64.7876 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.79 0.045 0.745 0.79 0.767 0.966 chest 0.772 0.042 0.752 0.772 0.762 0.964 forearm 0.678 0.046 0.71 0.678 0.694 0.94 head 0.806 0.022 0.857 0.806 0.831 0.978 shin 0.79 0.037 0.779 0.79 0.785 0.963 thigh 0.658 0.055 0.667 0.658 0.663 0.934 upperarm 0.791 0.038 0.778 0.791 0.785 0.966 waist Weighted Avg. 0.755 0.041 0.756 0.755 0.755 0.959 === Confusion Matrix === a b c d e f g <-- classified as 785 40 39 5 23 80 22 | a = chest 33 765 64 18 15 30 66 | b = forearm 46 75 675 18 48 86 47 | c = head 16 20 27 803 65 39 26 | d = shin 33 14 36 47 787 53 26 | e = thigh 108 41 78 36 38 655 39 | f = upperarm 32 62 32 10 34 39 793 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 5214 74.817 % Incorrectly Classified Instances 1755 25.183 % Kappa statistic 0.7062 Mean absolute error 0.1212 Root mean squared error 0.2289 Relative absolute error 49.508 % Root relative squared error 65.4145 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.758 0.044 0.743 0.758 0.75 0.962 chest 0.772 0.043 0.746 0.772 0.759 0.966 forearm 0.697 0.053 0.688 0.697 0.693 0.942 head 0.806 0.025 0.844 0.806 0.825 0.977 shin 0.759 0.036 0.78 0.759 0.769 0.963 thigh 0.659 0.056 0.664 0.659 0.662 0.931 upperarm 0.785 0.038 0.776 0.785 0.781 0.967 waist Weighted Avg. 0.748 0.042 0.749 0.748 0.748 0.958 === Confusion Matrix === a b c d e f g <-- classified as 753 40 68 6 21 83 23 | a = chest 29 765 68 13 14 28 74 | b = forearm 46 69 694 19 40 85 42 | c = head 13 25 23 803 68 49 15 | d = shin 43 17 43 56 756 53 28 | e = thigh 97 45 85 29 38 656 45 | f = upperarm 32 64 28 25 32 34 787 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 5227 75.0036 % Incorrectly Classified Instances 1742 24.9964 % Kappa statistic 0.7084 Mean absolute error 0.1196 Root mean squared error 0.2278 Relative absolute error 48.8215 % Root relative squared error 65.1044 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.77 0.047 0.731 0.77 0.75 0.96 chest 0.763 0.046 0.735 0.763 0.749 0.96 forearm 0.668 0.05 0.691 0.668 0.68 0.936 head 0.821 0.019 0.878 0.821 0.849 0.976 shin 0.77 0.035 0.783 0.77 0.777 0.961 thigh 0.688 0.055 0.676 0.688 0.682 0.943 upperarm 0.769 0.04 0.765 0.769 0.767 0.961 waist Weighted Avg. 0.75 0.042 0.751 0.75 0.75 0.957 === Confusion Matrix === a b c d e f g <-- classified as 765 43 50 7 23 78 28 | a = chest 45 756 72 4 21 28 65 | b = forearm 61 86 665 13 39 92 39 | c = head 7 18 27 818 62 37 27 | d = shin 42 11 50 40 767 53 33 | e = thigh 85 44 68 29 39 685 45 | f = upperarm 41 71 30 21 28 40 771 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 5248 75.3049 % Incorrectly Classified Instances 1721 24.6951 % Kappa statistic 0.7119 Mean absolute error 0.1196 Root mean squared error 0.2265 Relative absolute error 48.8501 % Root relative squared error 64.7393 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.787 0.044 0.747 0.787 0.766 0.966 chest 0.775 0.051 0.717 0.775 0.745 0.965 forearm 0.688 0.052 0.687 0.688 0.687 0.944 head 0.799 0.021 0.866 0.799 0.831 0.976 shin 0.783 0.035 0.786 0.783 0.784 0.969 thigh 0.664 0.048 0.697 0.664 0.68 0.941 upperarm 0.775 0.037 0.781 0.775 0.778 0.965 waist Weighted Avg. 0.753 0.041 0.754 0.753 0.753 0.961 === Confusion Matrix === a b c d e f g <-- classified as 782 40 47 5 19 79 22 | a = chest 26 768 76 9 13 30 69 | b = forearm 49 95 685 16 55 61 35 | c = head 17 28 25 796 59 49 22 | d = shin 41 12 52 33 779 47 31 | e = thigh 99 58 72 37 29 661 39 | f = upperarm 33 70 40 23 37 22 777 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 5289 75.9041 % Incorrectly Classified Instances 1679 24.0959 % Kappa statistic 0.7189 Mean absolute error 0.1195 Root mean squared error 0.2266 Relative absolute error 48.7925 % Root relative squared error 64.7554 % Total Number of Instances 6968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.806 0.045 0.75 0.806 0.777 0.969 chest 0.764 0.041 0.753 0.764 0.758 0.962 forearm 0.686 0.044 0.724 0.686 0.704 0.94 head 0.821 0.022 0.862 0.821 0.841 0.975 shin 0.77 0.034 0.791 0.77 0.78 0.964 thigh 0.694 0.057 0.672 0.694 0.683 0.938 upperarm 0.772 0.039 0.769 0.772 0.771 0.961 waist Weighted Avg. 0.759 0.04 0.76 0.759 0.759 0.958 === Confusion Matrix === a b c d e f g <-- classified as 800 30 31 0 26 84 22 | a = chest 33 756 62 13 16 31 79 | b = forearm 53 80 683 21 37 87 35 | c = head 9 18 25 818 57 41 28 | d = shin 42 12 39 47 767 55 34 | e = thigh 95 48 69 27 31 691 34 | f = upperarm 34 60 35 23 36 40 774 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 5240 75.2009 % Incorrectly Classified Instances 1728 24.7991 % Kappa statistic 0.7107 Mean absolute error 0.1197 Root mean squared error 0.2275 Relative absolute error 48.8939 % Root relative squared error 65.0219 % Total Number of Instances 6968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.781 0.047 0.736 0.781 0.758 0.964 chest 0.769 0.044 0.745 0.769 0.756 0.964 forearm 0.657 0.05 0.688 0.657 0.672 0.935 head 0.829 0.024 0.851 0.829 0.84 0.979 shin 0.772 0.034 0.789 0.772 0.78 0.965 thigh 0.698 0.053 0.689 0.698 0.694 0.942 upperarm 0.757 0.038 0.769 0.757 0.763 0.963 waist Weighted Avg. 0.752 0.041 0.752 0.752 0.752 0.959 === Confusion Matrix === a b c d e f g <-- classified as 776 36 59 6 16 74 26 | a = chest 32 761 66 16 16 23 76 | b = forearm 66 78 654 25 37 92 44 | c = head 8 18 23 826 64 35 22 | d = shin 36 12 41 45 769 61 32 | e = thigh 100 39 70 35 28 695 28 | f = upperarm 36 78 37 18 45 29 759 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 5270 75.6315 % Incorrectly Classified Instances 1698 24.3685 % Kappa statistic 0.7157 Mean absolute error 0.1198 Root mean squared error 0.2281 Relative absolute error 48.9197 % Root relative squared error 65.1889 % Total Number of Instances 6968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.785 0.043 0.754 0.785 0.769 0.963 chest 0.78 0.041 0.759 0.78 0.769 0.965 forearm 0.696 0.05 0.699 0.696 0.698 0.94 head 0.822 0.021 0.868 0.822 0.844 0.979 shin 0.773 0.038 0.774 0.773 0.773 0.959 thigh 0.671 0.057 0.664 0.671 0.668 0.934 upperarm 0.766 0.036 0.784 0.766 0.775 0.961 waist Weighted Avg. 0.756 0.041 0.757 0.756 0.757 0.957 === Confusion Matrix === a b c d e f g <-- classified as 780 34 52 1 21 82 23 | a = chest 31 772 70 10 16 19 72 | b = forearm 47 67 693 18 46 89 36 | c = head 6 26 20 819 54 54 17 | d = shin 34 11 45 43 770 66 27 | e = thigh 93 41 75 32 49 668 37 | f = upperarm 44 66 36 21 39 28 768 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 7 FOLD: 0 Correctly Classified Instances 5191 74.487 % Incorrectly Classified Instances 1778 25.513 % Kappa statistic 0.7024 Mean absolute error 0.121 Root mean squared error 0.2297 Relative absolute error 49.4261 % Root relative squared error 65.6422 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.769 0.044 0.744 0.769 0.756 0.965 chest 0.766 0.051 0.715 0.766 0.739 0.963 forearm 0.672 0.048 0.702 0.672 0.687 0.94 head 0.824 0.021 0.869 0.824 0.846 0.979 shin 0.756 0.039 0.764 0.756 0.76 0.956 thigh 0.662 0.057 0.658 0.662 0.66 0.934 upperarm 0.764 0.038 0.77 0.764 0.767 0.963 waist Weighted Avg. 0.745 0.043 0.746 0.745 0.745 0.957 === Confusion Matrix === a b c d e f g <-- classified as 764 48 52 3 24 81 22 | a = chest 30 759 72 14 11 28 77 | b = forearm 54 86 669 14 48 85 39 | c = head 7 27 13 821 60 45 23 | d = shin 40 25 37 40 753 70 31 | e = thigh 96 45 75 32 51 659 37 | f = upperarm 36 72 35 21 39 33 766 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 5273 75.6637 % Incorrectly Classified Instances 1696 24.3363 % Kappa statistic 0.7161 Mean absolute error 0.1202 Root mean squared error 0.2281 Relative absolute error 49.063 % Root relative squared error 65.1797 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.789 0.046 0.741 0.789 0.764 0.962 chest 0.782 0.05 0.722 0.782 0.751 0.963 forearm 0.658 0.042 0.722 0.658 0.689 0.94 head 0.843 0.022 0.864 0.843 0.854 0.98 shin 0.791 0.034 0.797 0.791 0.794 0.966 thigh 0.674 0.051 0.688 0.674 0.681 0.937 upperarm 0.758 0.039 0.765 0.758 0.762 0.96 waist Weighted Avg. 0.757 0.041 0.757 0.757 0.756 0.958 === Confusion Matrix === a b c d e f g <-- classified as 784 31 56 3 20 77 23 | a = chest 38 775 49 11 16 24 78 | b = forearm 52 105 655 20 43 82 38 | c = head 9 17 17 840 58 36 19 | d = shin 38 14 33 37 788 49 37 | e = thigh 92 54 68 40 31 671 39 | f = upperarm 45 78 29 21 33 36 760 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 5166 74.1283 % Incorrectly Classified Instances 1803 25.8717 % Kappa statistic 0.6982 Mean absolute error 0.1215 Root mean squared error 0.2296 Relative absolute error 49.6071 % Root relative squared error 65.622 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.772 0.049 0.724 0.772 0.747 0.965 chest 0.756 0.047 0.726 0.756 0.741 0.962 forearm 0.667 0.052 0.68 0.667 0.674 0.936 head 0.796 0.022 0.86 0.796 0.827 0.977 shin 0.753 0.037 0.771 0.753 0.762 0.957 thigh 0.669 0.055 0.669 0.669 0.669 0.938 upperarm 0.775 0.039 0.768 0.775 0.772 0.965 waist Weighted Avg. 0.741 0.043 0.743 0.741 0.742 0.957 === Confusion Matrix === a b c d e f g <-- classified as 767 34 53 8 23 83 26 | a = chest 41 749 74 11 19 26 71 | b = forearm 64 88 664 13 40 86 40 | c = head 10 25 26 793 66 47 29 | d = shin 31 15 58 50 750 60 32 | e = thigh 103 51 68 29 41 666 37 | f = upperarm 43 69 33 18 34 28 777 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 5304 76.1085 % Incorrectly Classified Instances 1665 23.8915 % Kappa statistic 0.7213 Mean absolute error 0.1174 Root mean squared error 0.2247 Relative absolute error 47.9297 % Root relative squared error 64.2047 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.781 0.039 0.768 0.781 0.774 0.964 chest 0.783 0.042 0.756 0.783 0.769 0.967 forearm 0.669 0.048 0.7 0.669 0.684 0.939 head 0.831 0.025 0.846 0.831 0.838 0.981 shin 0.76 0.032 0.798 0.76 0.778 0.967 thigh 0.717 0.054 0.69 0.717 0.703 0.945 upperarm 0.786 0.039 0.774 0.786 0.78 0.966 waist Weighted Avg. 0.761 0.04 0.762 0.761 0.761 0.961 === Confusion Matrix === a b c d e f g <-- classified as 776 36 53 7 22 69 31 | a = chest 28 776 62 11 20 26 68 | b = forearm 46 90 666 20 45 95 33 | c = head 6 21 17 828 50 48 26 | d = shin 42 11 38 60 757 53 35 | e = thigh 81 42 65 29 28 713 37 | f = upperarm 32 51 50 24 27 30 788 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 5264 75.5345 % Incorrectly Classified Instances 1705 24.4655 % Kappa statistic 0.7146 Mean absolute error 0.1205 Root mean squared error 0.2277 Relative absolute error 49.2202 % Root relative squared error 65.083 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.79 0.045 0.746 0.79 0.767 0.962 chest 0.758 0.038 0.766 0.758 0.762 0.963 forearm 0.686 0.051 0.69 0.686 0.688 0.937 head 0.817 0.019 0.877 0.817 0.846 0.98 shin 0.774 0.034 0.79 0.774 0.782 0.966 thigh 0.711 0.06 0.664 0.711 0.687 0.943 upperarm 0.751 0.038 0.77 0.751 0.761 0.959 waist Weighted Avg. 0.755 0.041 0.758 0.755 0.756 0.958 === Confusion Matrix === a b c d e f g <-- classified as 784 30 45 1 25 86 22 | a = chest 24 751 83 7 17 30 79 | b = forearm 55 60 683 19 51 85 42 | c = head 9 20 31 814 53 44 25 | d = shin 52 9 38 37 771 61 28 | e = thigh 94 36 65 30 34 708 29 | f = upperarm 33 74 45 20 25 52 753 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 5254 75.391 % Incorrectly Classified Instances 1715 24.609 % Kappa statistic 0.7129 Mean absolute error 0.1186 Root mean squared error 0.2266 Relative absolute error 48.4212 % Root relative squared error 64.758 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.783 0.042 0.758 0.783 0.77 0.964 chest 0.781 0.044 0.746 0.781 0.763 0.965 forearm 0.696 0.05 0.699 0.696 0.698 0.946 head 0.816 0.026 0.841 0.816 0.828 0.975 shin 0.755 0.038 0.769 0.755 0.762 0.961 thigh 0.683 0.054 0.679 0.683 0.681 0.938 upperarm 0.762 0.034 0.791 0.762 0.776 0.965 waist Weighted Avg. 0.754 0.041 0.755 0.754 0.754 0.959 === Confusion Matrix === a b c d e f g <-- classified as 778 41 52 4 16 80 22 | a = chest 35 774 62 14 22 20 64 | b = forearm 45 69 693 17 55 82 34 | c = head 17 24 20 813 58 43 21 | d = shin 38 16 36 62 752 57 35 | e = thigh 83 48 88 34 37 680 26 | f = upperarm 31 66 40 23 38 40 764 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 5281 75.7784 % Incorrectly Classified Instances 1688 24.2216 % Kappa statistic 0.7174 Mean absolute error 0.1201 Root mean squared error 0.2273 Relative absolute error 49.021 % Root relative squared error 64.9646 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.787 0.042 0.758 0.787 0.772 0.968 chest 0.766 0.046 0.733 0.766 0.749 0.96 forearm 0.709 0.052 0.696 0.709 0.702 0.943 head 0.823 0.021 0.865 0.823 0.844 0.975 shin 0.781 0.033 0.799 0.781 0.79 0.963 thigh 0.656 0.052 0.677 0.656 0.666 0.93 upperarm 0.783 0.037 0.783 0.783 0.783 0.967 waist Weighted Avg. 0.758 0.04 0.759 0.758 0.758 0.958 === Confusion Matrix === a b c d e f g <-- classified as 781 39 52 6 24 71 20 | a = chest 36 759 82 14 13 23 64 | b = forearm 47 72 706 16 38 78 39 | c = head 8 24 28 820 48 48 20 | d = shin 31 22 41 37 777 60 27 | e = thigh 92 49 77 31 46 653 48 | f = upperarm 35 71 29 24 27 31 785 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 5230 75.0574 % Incorrectly Classified Instances 1738 24.9426 % Kappa statistic 0.709 Mean absolute error 0.1202 Root mean squared error 0.2277 Relative absolute error 49.0845 % Root relative squared error 65.0837 % Total Number of Instances 6968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.775 0.047 0.733 0.775 0.754 0.963 chest 0.763 0.042 0.748 0.763 0.755 0.963 forearm 0.679 0.051 0.691 0.679 0.685 0.94 head 0.796 0.023 0.854 0.796 0.824 0.976 shin 0.776 0.037 0.778 0.776 0.777 0.964 thigh 0.665 0.051 0.685 0.665 0.675 0.94 upperarm 0.799 0.04 0.77 0.799 0.785 0.965 waist Weighted Avg. 0.751 0.042 0.751 0.751 0.751 0.959 === Confusion Matrix === a b c d e f g <-- classified as 770 36 55 4 23 79 26 | a = chest 40 755 61 11 21 20 82 | b = forearm 57 67 676 30 36 85 45 | c = head 15 19 33 793 74 48 14 | d = shin 43 22 38 46 773 46 28 | e = thigh 95 44 84 27 39 662 44 | f = upperarm 30 66 32 18 28 27 801 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 5292 75.9472 % Incorrectly Classified Instances 1676 24.0528 % Kappa statistic 0.7194 Mean absolute error 0.1183 Root mean squared error 0.2257 Relative absolute error 48.32 % Root relative squared error 64.4908 % Total Number of Instances 6968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.793 0.045 0.747 0.793 0.769 0.964 chest 0.777 0.04 0.763 0.777 0.77 0.964 forearm 0.685 0.05 0.695 0.685 0.69 0.942 head 0.832 0.023 0.858 0.832 0.845 0.981 shin 0.796 0.037 0.784 0.796 0.79 0.967 thigh 0.667 0.053 0.679 0.667 0.673 0.936 upperarm 0.766 0.034 0.793 0.766 0.779 0.963 waist Weighted Avg. 0.759 0.04 0.76 0.759 0.759 0.96 === Confusion Matrix === a b c d e f g <-- classified as 787 34 50 4 16 80 22 | a = chest 28 769 69 8 21 30 65 | b = forearm 54 74 682 12 48 81 45 | c = head 7 21 23 829 56 40 20 | d = shin 37 14 40 41 793 54 17 | e = thigh 98 45 75 42 39 664 32 | f = upperarm 43 51 43 30 38 29 768 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 5205 74.6986 % Incorrectly Classified Instances 1763 25.3014 % Kappa statistic 0.7048 Mean absolute error 0.1202 Root mean squared error 0.2289 Relative absolute error 49.0984 % Root relative squared error 65.4103 % Total Number of Instances 6968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.764 0.045 0.74 0.764 0.752 0.96 chest 0.753 0.046 0.73 0.753 0.741 0.961 forearm 0.673 0.047 0.705 0.673 0.688 0.942 head 0.819 0.02 0.875 0.819 0.846 0.976 shin 0.77 0.04 0.764 0.77 0.767 0.96 thigh 0.681 0.058 0.663 0.681 0.672 0.936 upperarm 0.768 0.041 0.761 0.768 0.765 0.961 waist Weighted Avg. 0.747 0.042 0.748 0.747 0.747 0.957 === Confusion Matrix === a b c d e f g <-- classified as 759 37 42 2 34 98 21 | a = chest 33 745 74 13 16 29 80 | b = forearm 55 88 670 15 34 89 45 | c = head 13 19 18 816 61 38 31 | d = shin 46 19 42 42 767 56 24 | e = thigh 85 53 61 31 46 678 41 | f = upperarm 35 59 44 14 46 34 770 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 8 FOLD: 0 Correctly Classified Instances 5192 74.5014 % Incorrectly Classified Instances 1777 25.4986 % Kappa statistic 0.7025 Mean absolute error 0.1196 Root mean squared error 0.2281 Relative absolute error 48.8328 % Root relative squared error 65.1782 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.783 0.044 0.746 0.783 0.764 0.968 chest 0.751 0.047 0.727 0.751 0.739 0.962 forearm 0.652 0.051 0.681 0.652 0.666 0.936 head 0.828 0.023 0.856 0.828 0.842 0.981 shin 0.759 0.034 0.786 0.759 0.772 0.962 thigh 0.663 0.056 0.663 0.663 0.663 0.932 upperarm 0.779 0.042 0.758 0.779 0.768 0.96 waist Weighted Avg. 0.745 0.042 0.745 0.745 0.745 0.957 === Confusion Matrix === a b c d e f g <-- classified as 778 29 56 5 19 79 27 | a = chest 40 744 75 8 21 27 76 | b = forearm 52 92 649 23 44 90 46 | c = head 9 22 29 825 48 47 16 | d = shin 42 22 38 43 755 60 35 | e = thigh 91 48 73 35 39 660 50 | f = upperarm 31 66 33 25 34 32 781 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 5285 75.8358 % Incorrectly Classified Instances 1684 24.1642 % Kappa statistic 0.7181 Mean absolute error 0.1184 Root mean squared error 0.226 Relative absolute error 48.3418 % Root relative squared error 64.5798 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.796 0.043 0.755 0.796 0.775 0.967 chest 0.794 0.044 0.749 0.794 0.771 0.964 forearm 0.663 0.046 0.704 0.663 0.683 0.935 head 0.832 0.025 0.846 0.832 0.839 0.98 shin 0.784 0.035 0.787 0.784 0.786 0.97 thigh 0.667 0.051 0.687 0.667 0.677 0.935 upperarm 0.772 0.037 0.778 0.772 0.775 0.962 waist Weighted Avg. 0.758 0.04 0.758 0.758 0.758 0.959 === Confusion Matrix === a b c d e f g <-- classified as 790 29 47 1 22 77 27 | a = chest 34 787 60 14 16 23 57 | b = forearm 51 83 660 21 57 85 39 | c = head 8 25 30 829 46 37 21 | d = shin 30 13 39 53 781 48 32 | e = thigh 101 41 65 39 40 664 45 | f = upperarm 33 73 36 23 30 33 774 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 5224 74.9605 % Incorrectly Classified Instances 1745 25.0395 % Kappa statistic 0.7079 Mean absolute error 0.12 Root mean squared error 0.228 Relative absolute error 48.9835 % Root relative squared error 65.1574 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.796 0.044 0.75 0.796 0.772 0.962 chest 0.763 0.046 0.734 0.763 0.748 0.964 forearm 0.67 0.049 0.697 0.67 0.683 0.944 head 0.8 0.021 0.864 0.8 0.831 0.979 shin 0.767 0.036 0.779 0.767 0.773 0.963 thigh 0.69 0.062 0.65 0.69 0.67 0.933 upperarm 0.761 0.034 0.788 0.761 0.775 0.964 waist Weighted Avg. 0.75 0.042 0.752 0.75 0.75 0.958 === Confusion Matrix === a b c d e f g <-- classified as 790 30 42 4 24 79 24 | a = chest 37 756 61 11 16 37 73 | b = forearm 54 83 667 15 47 102 28 | c = head 11 35 20 797 63 45 25 | d = shin 32 19 41 44 764 73 23 | e = thigh 86 41 80 36 33 687 32 | f = upperarm 44 66 46 15 34 34 763 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 5273 75.6637 % Incorrectly Classified Instances 1696 24.3363 % Kappa statistic 0.7161 Mean absolute error 0.12 Root mean squared error 0.2267 Relative absolute error 48.988 % Root relative squared error 64.7845 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.784 0.039 0.767 0.784 0.776 0.965 chest 0.77 0.042 0.75 0.77 0.76 0.965 forearm 0.686 0.048 0.704 0.686 0.695 0.939 head 0.815 0.021 0.868 0.815 0.841 0.977 shin 0.789 0.037 0.781 0.789 0.785 0.966 thigh 0.681 0.057 0.667 0.681 0.674 0.939 upperarm 0.77 0.039 0.767 0.77 0.769 0.964 waist Weighted Avg. 0.757 0.041 0.758 0.757 0.757 0.959 === Confusion Matrix === a b c d e f g <-- classified as 779 41 47 4 29 73 20 | a = chest 35 763 58 12 19 30 74 | b = forearm 43 77 683 10 42 98 43 | c = head 10 17 25 812 51 47 34 | d = shin 36 10 46 49 786 49 20 | e = thigh 80 46 70 33 44 678 44 | f = upperarm 32 63 41 16 36 42 772 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 5246 75.2762 % Incorrectly Classified Instances 1723 24.7238 % Kappa statistic 0.7116 Mean absolute error 0.1201 Root mean squared error 0.228 Relative absolute error 49.06 % Root relative squared error 65.1643 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.78 0.042 0.755 0.78 0.767 0.964 chest 0.768 0.049 0.724 0.768 0.745 0.963 forearm 0.681 0.051 0.692 0.681 0.687 0.938 head 0.823 0.018 0.884 0.823 0.852 0.977 shin 0.767 0.036 0.779 0.767 0.773 0.961 thigh 0.67 0.052 0.683 0.67 0.676 0.941 upperarm 0.779 0.041 0.761 0.779 0.77 0.962 waist Weighted Avg. 0.753 0.041 0.754 0.753 0.753 0.958 === Confusion Matrix === a b c d e f g <-- classified as 775 40 55 6 13 79 26 | a = chest 30 761 60 7 20 30 83 | b = forearm 50 86 678 15 36 83 47 | c = head 12 29 21 820 64 34 16 | d = shin 35 19 50 43 764 56 29 | e = thigh 87 50 77 26 44 667 44 | f = upperarm 37 66 39 11 40 28 781 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 5176 74.2718 % Incorrectly Classified Instances 1793 25.7282 % Kappa statistic 0.6998 Mean absolute error 0.1211 Root mean squared error 0.2302 Relative absolute error 49.4578 % Root relative squared error 65.7713 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.759 0.046 0.733 0.759 0.745 0.962 chest 0.776 0.047 0.734 0.776 0.754 0.965 forearm 0.684 0.05 0.696 0.684 0.69 0.933 head 0.812 0.022 0.862 0.812 0.836 0.977 shin 0.768 0.038 0.773 0.768 0.77 0.96 thigh 0.642 0.058 0.647 0.642 0.645 0.929 upperarm 0.757 0.04 0.761 0.757 0.759 0.961 waist Weighted Avg. 0.743 0.043 0.744 0.743 0.743 0.955 === Confusion Matrix === a b c d e f g <-- classified as 754 40 60 0 25 92 23 | a = chest 26 769 61 10 18 27 80 | b = forearm 50 75 681 14 43 90 42 | c = head 7 20 27 809 65 43 25 | d = shin 46 16 40 47 765 54 28 | e = thigh 102 58 77 34 44 639 41 | f = upperarm 44 70 32 25 30 42 759 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 5215 74.8314 % Incorrectly Classified Instances 1754 25.1686 % Kappa statistic 0.7064 Mean absolute error 0.1198 Root mean squared error 0.2279 Relative absolute error 48.9087 % Root relative squared error 65.1189 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.753 0.049 0.72 0.753 0.736 0.956 chest 0.75 0.042 0.749 0.75 0.749 0.961 forearm 0.696 0.051 0.696 0.696 0.696 0.941 head 0.822 0.022 0.862 0.822 0.842 0.978 shin 0.763 0.038 0.77 0.763 0.767 0.965 thigh 0.672 0.054 0.676 0.672 0.674 0.94 upperarm 0.781 0.039 0.771 0.781 0.776 0.965 waist Weighted Avg. 0.748 0.042 0.749 0.748 0.749 0.958 === Confusion Matrix === a b c d e f g <-- classified as 748 35 66 3 33 85 24 | a = chest 30 743 92 12 11 26 77 | b = forearm 53 66 693 18 49 73 43 | c = head 13 22 17 819 60 44 21 | d = shin 57 14 31 49 760 57 28 | e = thigh 102 49 66 32 38 669 39 | f = upperarm 36 63 31 17 36 36 783 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 5267 75.5884 % Incorrectly Classified Instances 1701 24.4116 % Kappa statistic 0.7152 Mean absolute error 0.12 Root mean squared error 0.2275 Relative absolute error 48.9961 % Root relative squared error 65.0124 % Total Number of Instances 6968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.776 0.043 0.752 0.776 0.764 0.964 chest 0.781 0.044 0.745 0.781 0.762 0.965 forearm 0.693 0.05 0.7 0.693 0.697 0.943 head 0.831 0.02 0.873 0.831 0.852 0.98 shin 0.754 0.039 0.765 0.754 0.759 0.956 thigh 0.679 0.055 0.673 0.679 0.676 0.939 upperarm 0.776 0.035 0.791 0.776 0.783 0.965 waist Weighted Avg. 0.756 0.041 0.757 0.756 0.756 0.959 === Confusion Matrix === a b c d e f g <-- classified as 771 36 58 5 22 78 24 | a = chest 27 773 68 14 22 34 52 | b = forearm 55 68 690 18 47 76 41 | c = head 11 16 23 828 59 41 18 | d = shin 39 17 44 42 751 65 38 | e = thigh 91 53 74 27 41 676 33 | f = upperarm 31 75 29 14 40 35 778 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 5290 75.9185 % Incorrectly Classified Instances 1678 24.0815 % Kappa statistic 0.7191 Mean absolute error 0.1188 Root mean squared error 0.2262 Relative absolute error 48.5155 % Root relative squared error 64.635 % Total Number of Instances 6968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.785 0.044 0.746 0.785 0.765 0.965 chest 0.792 0.043 0.754 0.792 0.772 0.966 forearm 0.69 0.048 0.706 0.69 0.698 0.94 head 0.807 0.023 0.854 0.807 0.83 0.977 shin 0.779 0.035 0.785 0.779 0.782 0.964 thigh 0.681 0.055 0.675 0.681 0.678 0.94 upperarm 0.779 0.033 0.799 0.779 0.789 0.965 waist Weighted Avg. 0.759 0.04 0.76 0.759 0.759 0.96 === Confusion Matrix === a b c d e f g <-- classified as 780 42 51 6 22 74 18 | a = chest 27 784 61 10 19 22 67 | b = forearm 48 77 687 16 34 90 43 | c = head 17 25 27 804 63 39 21 | d = shin 38 13 37 47 776 64 21 | e = thigh 102 41 77 37 35 678 26 | f = upperarm 33 58 33 21 39 37 781 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 5239 75.1866 % Incorrectly Classified Instances 1729 24.8134 % Kappa statistic 0.7105 Mean absolute error 0.1214 Root mean squared error 0.2293 Relative absolute error 49.5848 % Root relative squared error 65.5241 % Total Number of Instances 6968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.771 0.041 0.758 0.771 0.765 0.961 chest 0.794 0.044 0.747 0.794 0.77 0.963 forearm 0.703 0.046 0.719 0.703 0.711 0.946 head 0.803 0.026 0.839 0.803 0.821 0.975 shin 0.775 0.037 0.777 0.775 0.776 0.963 thigh 0.67 0.055 0.67 0.67 0.67 0.935 upperarm 0.748 0.041 0.754 0.748 0.751 0.958 waist Weighted Avg. 0.752 0.041 0.752 0.752 0.752 0.957 === Confusion Matrix === a b c d e f g <-- classified as 766 33 44 7 33 86 24 | a = chest 34 786 63 10 15 24 58 | b = forearm 39 78 699 13 37 80 49 | c = head 12 22 19 800 63 54 26 | d = shin 37 9 34 49 772 55 40 | e = thigh 81 48 73 37 43 667 47 | f = upperarm 41 76 40 37 30 29 749 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 9 FOLD: 0 Correctly Classified Instances 5215 74.8314 % Incorrectly Classified Instances 1754 25.1686 % Kappa statistic 0.7064 Mean absolute error 0.1195 Root mean squared error 0.2279 Relative absolute error 48.805 % Root relative squared error 65.1151 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.775 0.043 0.75 0.775 0.762 0.965 chest 0.79 0.046 0.741 0.79 0.765 0.965 forearm 0.671 0.047 0.702 0.671 0.687 0.94 head 0.802 0.027 0.831 0.802 0.817 0.976 shin 0.759 0.035 0.785 0.759 0.772 0.963 thigh 0.675 0.058 0.658 0.675 0.666 0.937 upperarm 0.766 0.037 0.775 0.766 0.771 0.963 waist Weighted Avg. 0.748 0.042 0.749 0.748 0.748 0.958 === Confusion Matrix === a b c d e f g <-- classified as 770 42 57 4 20 80 21 | a = chest 33 783 60 9 13 33 60 | b = forearm 54 84 668 19 42 83 45 | c = head 14 27 22 799 57 57 20 | d = shin 34 15 38 57 755 66 30 | e = thigh 89 40 68 46 34 672 47 | f = upperarm 32 66 38 27 41 30 768 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 5248 75.3049 % Incorrectly Classified Instances 1721 24.6951 % Kappa statistic 0.7119 Mean absolute error 0.1196 Root mean squared error 0.2274 Relative absolute error 48.8521 % Root relative squared error 64.9799 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.771 0.043 0.751 0.771 0.761 0.963 chest 0.77 0.047 0.731 0.77 0.75 0.963 forearm 0.689 0.049 0.701 0.689 0.695 0.937 head 0.809 0.022 0.86 0.809 0.834 0.979 shin 0.792 0.036 0.785 0.792 0.789 0.967 thigh 0.675 0.053 0.681 0.675 0.678 0.935 upperarm 0.765 0.039 0.767 0.765 0.766 0.964 waist Weighted Avg. 0.753 0.041 0.754 0.753 0.753 0.958 === Confusion Matrix === a b c d e f g <-- classified as 766 46 56 4 24 74 24 | a = chest 33 762 70 17 16 24 68 | b = forearm 38 84 686 14 42 81 50 | c = head 15 23 22 806 58 46 26 | d = shin 37 15 32 40 789 60 23 | e = thigh 92 41 75 37 37 672 42 | f = upperarm 39 71 37 19 39 30 767 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 5218 74.8744 % Incorrectly Classified Instances 1751 25.1256 % Kappa statistic 0.7069 Mean absolute error 0.1197 Root mean squared error 0.2282 Relative absolute error 48.8742 % Root relative squared error 65.2061 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.758 0.042 0.749 0.758 0.753 0.957 chest 0.769 0.044 0.744 0.769 0.756 0.962 forearm 0.691 0.048 0.704 0.691 0.698 0.942 head 0.814 0.022 0.858 0.814 0.836 0.978 shin 0.738 0.036 0.774 0.738 0.755 0.961 thigh 0.676 0.058 0.662 0.676 0.669 0.936 upperarm 0.795 0.043 0.758 0.795 0.776 0.963 waist Weighted Avg. 0.749 0.042 0.75 0.749 0.749 0.957 === Confusion Matrix === a b c d e f g <-- classified as 753 35 53 11 27 79 36 | a = chest 29 761 72 7 19 23 79 | b = forearm 52 86 688 13 42 82 32 | c = head 8 21 27 811 57 48 24 | d = shin 33 19 38 53 735 77 41 | e = thigh 98 47 72 30 34 673 42 | f = upperarm 33 54 27 20 36 35 797 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 5243 75.2332 % Incorrectly Classified Instances 1726 24.7668 % Kappa statistic 0.7111 Mean absolute error 0.1202 Root mean squared error 0.2287 Relative absolute error 49.088 % Root relative squared error 65.3653 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.792 0.044 0.75 0.792 0.77 0.962 chest 0.769 0.044 0.743 0.769 0.756 0.962 forearm 0.657 0.049 0.689 0.657 0.672 0.935 head 0.829 0.02 0.874 0.829 0.851 0.98 shin 0.77 0.037 0.778 0.77 0.774 0.963 thigh 0.67 0.056 0.666 0.67 0.668 0.934 upperarm 0.779 0.039 0.77 0.779 0.775 0.963 waist Weighted Avg. 0.752 0.041 0.753 0.752 0.752 0.957 === Confusion Matrix === a b c d e f g <-- classified as 787 34 43 5 26 76 23 | a = chest 31 761 74 11 18 28 67 | b = forearm 58 76 654 11 49 106 42 | c = head 15 24 13 826 56 36 26 | d = shin 41 18 43 41 767 57 29 | e = thigh 89 41 83 28 41 667 46 | f = upperarm 28 70 39 23 29 32 781 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 5206 74.7023 % Incorrectly Classified Instances 1763 25.2977 % Kappa statistic 0.7049 Mean absolute error 0.1207 Root mean squared error 0.2286 Relative absolute error 49.285 % Root relative squared error 65.3221 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.762 0.047 0.731 0.762 0.746 0.965 chest 0.763 0.048 0.725 0.763 0.743 0.962 forearm 0.669 0.048 0.698 0.669 0.683 0.932 head 0.803 0.023 0.853 0.803 0.827 0.976 shin 0.775 0.034 0.789 0.775 0.782 0.962 thigh 0.689 0.058 0.663 0.689 0.676 0.942 upperarm 0.767 0.036 0.78 0.767 0.774 0.965 waist Weighted Avg. 0.747 0.042 0.749 0.747 0.747 0.958 === Confusion Matrix === a b c d e f g <-- classified as 757 33 57 2 22 94 28 | a = chest 32 756 67 19 14 26 77 | b = forearm 55 85 666 23 40 91 36 | c = head 11 28 26 800 61 50 20 | d = shin 58 15 36 40 772 50 25 | e = thigh 85 52 75 24 42 686 31 | f = upperarm 38 74 27 30 27 37 769 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 5256 75.4197 % Incorrectly Classified Instances 1713 24.5803 % Kappa statistic 0.7132 Mean absolute error 0.1196 Root mean squared error 0.2265 Relative absolute error 48.8405 % Root relative squared error 64.7314 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.787 0.046 0.738 0.787 0.762 0.965 chest 0.778 0.041 0.76 0.778 0.769 0.966 forearm 0.673 0.047 0.704 0.673 0.688 0.942 head 0.817 0.022 0.86 0.817 0.838 0.98 shin 0.799 0.039 0.774 0.799 0.786 0.968 thigh 0.665 0.056 0.665 0.665 0.665 0.936 upperarm 0.76 0.036 0.782 0.76 0.771 0.96 waist Weighted Avg. 0.754 0.041 0.755 0.754 0.754 0.96 === Confusion Matrix === a b c d e f g <-- classified as 781 34 46 2 20 87 23 | a = chest 39 771 62 10 22 21 66 | b = forearm 50 79 670 18 49 91 39 | c = head 14 23 20 814 65 39 21 | d = shin 33 7 32 47 796 56 25 | e = thigh 93 39 84 38 40 662 39 | f = upperarm 48 61 38 17 37 39 762 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 5289 75.8932 % Incorrectly Classified Instances 1680 24.1068 % Kappa statistic 0.7188 Mean absolute error 0.1187 Root mean squared error 0.2254 Relative absolute error 48.4568 % Root relative squared error 64.4092 % Total Number of Instances 6969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.783 0.045 0.743 0.783 0.763 0.964 chest 0.752 0.039 0.76 0.752 0.756 0.963 forearm 0.701 0.046 0.717 0.701 0.709 0.946 head 0.833 0.02 0.872 0.833 0.852 0.981 shin 0.774 0.036 0.782 0.774 0.778 0.963 thigh 0.697 0.054 0.682 0.697 0.69 0.941 upperarm 0.771 0.04 0.764 0.771 0.768 0.963 waist Weighted Avg. 0.759 0.04 0.76 0.759 0.759 0.96 === Confusion Matrix === a b c d e f g <-- classified as 778 34 55 8 26 67 25 | a = chest 37 745 67 7 22 32 81 | b = forearm 55 73 698 16 35 77 42 | c = head 9 16 22 830 55 47 17 | d = shin 43 11 33 40 771 63 35 | e = thigh 87 40 61 29 45 694 39 | f = upperarm 38 61 38 22 32 38 773 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 5245 75.2727 % Incorrectly Classified Instances 1723 24.7273 % Kappa statistic 0.7115 Mean absolute error 0.1196 Root mean squared error 0.2275 Relative absolute error 48.8313 % Root relative squared error 65.0043 % Total Number of Instances 6968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.783 0.045 0.742 0.783 0.762 0.964 chest 0.776 0.045 0.74 0.776 0.758 0.963 forearm 0.695 0.053 0.684 0.695 0.69 0.944 head 0.804 0.022 0.858 0.804 0.83 0.978 shin 0.761 0.037 0.776 0.761 0.768 0.961 thigh 0.668 0.051 0.687 0.668 0.678 0.938 upperarm 0.78 0.035 0.789 0.78 0.785 0.965 waist Weighted Avg. 0.753 0.041 0.754 0.753 0.753 0.959 === Confusion Matrix === a b c d e f g <-- classified as 778 37 54 5 19 79 21 | a = chest 36 769 65 5 9 37 70 | b = forearm 52 83 692 19 43 70 36 | c = head 5 21 31 801 70 45 23 | d = shin 36 9 60 57 758 47 29 | e = thigh 101 44 80 32 43 665 30 | f = upperarm 40 76 29 15 35 25 782 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 5250 75.3444 % Incorrectly Classified Instances 1718 24.6556 % Kappa statistic 0.7124 Mean absolute error 0.1196 Root mean squared error 0.2268 Relative absolute error 48.8255 % Root relative squared error 64.8202 % Total Number of Instances 6968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.775 0.046 0.738 0.775 0.756 0.963 chest 0.778 0.046 0.739 0.778 0.758 0.963 forearm 0.686 0.049 0.702 0.686 0.694 0.942 head 0.816 0.026 0.842 0.816 0.829 0.976 shin 0.778 0.036 0.784 0.778 0.781 0.963 thigh 0.685 0.052 0.686 0.685 0.686 0.942 upperarm 0.754 0.034 0.788 0.754 0.771 0.964 waist Weighted Avg. 0.753 0.041 0.754 0.753 0.754 0.959 === Confusion Matrix === a b c d e f g <-- classified as 770 36 57 7 26 78 19 | a = chest 35 771 61 12 18 19 75 | b = forearm 45 73 683 30 42 89 33 | c = head 11 27 26 813 61 40 18 | d = shin 48 17 44 40 775 50 22 | e = thigh 91 54 60 36 35 682 37 | f = upperarm 43 65 42 28 32 36 756 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 5207 74.7273 % Incorrectly Classified Instances 1761 25.2727 % Kappa statistic 0.7052 Mean absolute error 0.1198 Root mean squared error 0.2275 Relative absolute error 48.9231 % Root relative squared error 64.9996 % Total Number of Instances 6968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.811 0.047 0.743 0.811 0.775 0.965 chest 0.767 0.047 0.729 0.767 0.747 0.967 forearm 0.65 0.051 0.68 0.65 0.665 0.938 head 0.829 0.025 0.848 0.829 0.839 0.976 shin 0.755 0.035 0.783 0.755 0.769 0.961 thigh 0.669 0.055 0.671 0.669 0.67 0.937 upperarm 0.75 0.035 0.781 0.75 0.765 0.963 waist Weighted Avg. 0.747 0.042 0.748 0.747 0.747 0.958 === Confusion Matrix === a b c d e f g <-- classified as 805 28 51 8 21 63 17 | a = chest 32 760 80 14 12 27 66 | b = forearm 55 81 647 23 53 97 39 | c = head 10 23 14 826 58 38 27 | d = shin 45 17 43 48 752 65 26 | e = thigh 96 54 72 39 32 666 36 | f = upperarm 41 80 45 16 32 37 751 | g = waist ------------------------------------------------------------------------------------------------------ SUBJECT: 5 RUN: 0 FOLD: 0 Correctly Classified Instances 5116 76.2444 % Incorrectly Classified Instances 1594 23.7556 % Kappa statistic 0.7228 Mean absolute error 0.1147 Root mean squared error 0.2233 Relative absolute error 46.8208 % Root relative squared error 63.8035 % Total Number of Instances 6710 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.783 0.036 0.786 0.783 0.785 0.97 chest 0.746 0.037 0.771 0.746 0.758 0.957 forearm 0.714 0.047 0.715 0.714 0.715 0.941 head 0.811 0.023 0.855 0.811 0.833 0.978 shin 0.791 0.035 0.789 0.791 0.79 0.966 thigh 0.687 0.046 0.712 0.687 0.7 0.944 upperarm 0.804 0.053 0.717 0.804 0.758 0.965 waist Weighted Avg. 0.762 0.04 0.764 0.762 0.763 0.96 === Confusion Matrix === a b c d e f g <-- classified as 752 28 30 9 40 65 36 | a = chest 30 711 55 10 26 40 81 | b = forearm 29 54 685 21 30 69 71 | c = head 7 18 34 778 51 35 36 | d = shin 53 15 18 44 759 34 37 | e = thigh 54 42 101 30 30 659 43 | f = upperarm 32 54 35 18 26 23 772 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 5088 75.8271 % Incorrectly Classified Instances 1622 24.1729 % Kappa statistic 0.718 Mean absolute error 0.1134 Root mean squared error 0.2222 Relative absolute error 46.2979 % Root relative squared error 63.5055 % Total Number of Instances 6710 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.823 0.042 0.766 0.823 0.793 0.974 chest 0.782 0.039 0.769 0.782 0.775 0.961 forearm 0.687 0.045 0.719 0.687 0.703 0.943 head 0.822 0.023 0.854 0.822 0.837 0.978 shin 0.728 0.031 0.796 0.728 0.761 0.964 thigh 0.697 0.047 0.71 0.697 0.703 0.943 upperarm 0.77 0.054 0.703 0.77 0.735 0.962 waist Weighted Avg. 0.758 0.04 0.76 0.758 0.758 0.961 === Confusion Matrix === a b c d e f g <-- classified as 790 27 23 5 34 39 42 | a = chest 33 745 50 9 20 34 62 | b = forearm 47 42 659 24 29 85 73 | c = head 13 18 37 788 33 34 36 | d = shin 72 38 27 35 699 48 41 | e = thigh 41 42 85 34 31 668 58 | f = upperarm 36 57 35 28 32 33 739 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 5092 75.8867 % Incorrectly Classified Instances 1618 24.1133 % Kappa statistic 0.7187 Mean absolute error 0.1139 Root mean squared error 0.2229 Relative absolute error 46.4909 % Root relative squared error 63.699 % Total Number of Instances 6710 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.781 0.045 0.744 0.781 0.762 0.966 chest 0.751 0.039 0.763 0.751 0.757 0.962 forearm 0.691 0.049 0.703 0.691 0.697 0.936 head 0.847 0.023 0.858 0.847 0.852 0.98 shin 0.759 0.033 0.792 0.759 0.775 0.963 thigh 0.694 0.045 0.722 0.694 0.708 0.947 upperarm 0.788 0.048 0.734 0.788 0.76 0.965 waist Weighted Avg. 0.759 0.04 0.759 0.759 0.759 0.96 === Confusion Matrix === a b c d e f g <-- classified as 750 36 32 10 35 55 42 | a = chest 46 716 58 7 20 34 72 | b = forearm 58 42 663 23 43 69 61 | c = head 7 14 39 812 30 28 29 | d = shin 62 27 28 41 729 39 34 | e = thigh 54 47 91 31 34 666 36 | f = upperarm 31 57 32 22 30 32 756 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 5123 76.3601 % Incorrectly Classified Instances 1586 23.6399 % Kappa statistic 0.7242 Mean absolute error 0.1114 Root mean squared error 0.2197 Relative absolute error 45.4778 % Root relative squared error 62.7961 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.825 0.039 0.78 0.825 0.802 0.973 chest 0.775 0.043 0.748 0.775 0.761 0.965 forearm 0.683 0.047 0.71 0.683 0.696 0.942 head 0.831 0.023 0.856 0.831 0.843 0.98 shin 0.753 0.032 0.795 0.753 0.774 0.962 thigh 0.701 0.047 0.714 0.701 0.707 0.952 upperarm 0.777 0.045 0.744 0.777 0.76 0.963 waist Weighted Avg. 0.764 0.039 0.764 0.764 0.763 0.962 === Confusion Matrix === a b c d e f g <-- classified as 792 31 20 4 36 54 23 | a = chest 38 739 46 6 27 33 64 | b = forearm 39 51 655 24 27 83 80 | c = head 12 21 32 797 41 28 28 | d = shin 48 36 37 51 723 35 30 | e = thigh 53 55 95 28 25 672 31 | f = upperarm 34 55 38 21 30 36 745 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 5095 75.9428 % Incorrectly Classified Instances 1614 24.0572 % Kappa statistic 0.7193 Mean absolute error 0.113 Root mean squared error 0.2218 Relative absolute error 46.1379 % Root relative squared error 63.3886 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.808 0.041 0.768 0.808 0.787 0.969 chest 0.744 0.041 0.75 0.744 0.747 0.957 forearm 0.697 0.051 0.694 0.697 0.695 0.943 head 0.82 0.022 0.864 0.82 0.841 0.977 shin 0.781 0.038 0.774 0.781 0.778 0.965 thigh 0.694 0.041 0.741 0.694 0.717 0.947 upperarm 0.772 0.047 0.731 0.772 0.751 0.963 waist Weighted Avg. 0.759 0.04 0.76 0.759 0.759 0.96 === Confusion Matrix === a b c d e f g <-- classified as 776 25 35 9 35 40 40 | a = chest 48 709 61 7 29 34 65 | b = forearm 45 46 668 27 36 75 62 | c = head 12 12 41 786 56 23 29 | d = shin 44 24 23 39 750 40 40 | e = thigh 56 55 95 20 30 666 37 | f = upperarm 30 74 39 22 33 21 740 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 5161 76.9265 % Incorrectly Classified Instances 1548 23.0735 % Kappa statistic 0.7308 Mean absolute error 0.1118 Root mean squared error 0.2196 Relative absolute error 45.6638 % Root relative squared error 62.755 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.814 0.037 0.784 0.814 0.799 0.971 chest 0.764 0.041 0.754 0.764 0.759 0.961 forearm 0.73 0.051 0.706 0.73 0.718 0.944 head 0.821 0.017 0.887 0.821 0.853 0.982 shin 0.78 0.04 0.767 0.78 0.773 0.968 thigh 0.685 0.042 0.731 0.685 0.708 0.946 upperarm 0.79 0.041 0.763 0.79 0.777 0.969 waist Weighted Avg. 0.769 0.038 0.77 0.769 0.769 0.963 === Confusion Matrix === a b c d e f g <-- classified as 781 27 29 5 38 46 33 | a = chest 34 728 57 6 36 30 62 | b = forearm 36 41 700 23 44 68 47 | c = head 13 16 49 787 42 25 27 | d = shin 46 29 33 31 749 43 29 | e = thigh 55 58 98 23 31 658 37 | f = upperarm 31 66 25 12 37 30 758 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 5157 76.8669 % Incorrectly Classified Instances 1552 23.1331 % Kappa statistic 0.7301 Mean absolute error 0.1118 Root mean squared error 0.2197 Relative absolute error 45.6665 % Root relative squared error 62.7924 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.805 0.041 0.768 0.805 0.786 0.971 chest 0.8 0.036 0.786 0.8 0.793 0.971 forearm 0.703 0.049 0.707 0.703 0.705 0.94 head 0.812 0.02 0.87 0.812 0.84 0.979 shin 0.769 0.039 0.766 0.769 0.767 0.965 thigh 0.697 0.04 0.743 0.697 0.719 0.953 upperarm 0.796 0.045 0.747 0.796 0.77 0.966 waist Weighted Avg. 0.769 0.039 0.77 0.769 0.769 0.963 === Confusion Matrix === a b c d e f g <-- classified as 772 29 28 7 39 51 33 | a = chest 34 762 51 5 20 22 59 | b = forearm 44 42 674 23 36 62 78 | c = head 11 14 45 779 59 31 20 | d = shin 53 29 26 38 738 43 33 | e = thigh 51 41 100 22 41 669 36 | f = upperarm 40 52 29 21 31 23 763 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 5119 76.3005 % Incorrectly Classified Instances 1590 23.6995 % Kappa statistic 0.7235 Mean absolute error 0.1122 Root mean squared error 0.2209 Relative absolute error 45.8037 % Root relative squared error 63.1134 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.806 0.037 0.786 0.806 0.796 0.972 chest 0.781 0.043 0.752 0.781 0.766 0.964 forearm 0.692 0.048 0.707 0.692 0.7 0.939 head 0.821 0.027 0.835 0.821 0.828 0.979 shin 0.769 0.034 0.792 0.769 0.78 0.968 thigh 0.681 0.043 0.724 0.681 0.702 0.942 upperarm 0.791 0.045 0.744 0.791 0.767 0.965 waist Weighted Avg. 0.763 0.039 0.763 0.763 0.763 0.961 === Confusion Matrix === a b c d e f g <-- classified as 773 29 21 8 38 50 40 | a = chest 29 744 58 8 22 35 57 | b = forearm 42 50 664 39 24 73 67 | c = head 7 19 42 787 42 32 30 | d = shin 51 34 23 44 738 37 33 | e = thigh 44 55 108 30 35 654 34 | f = upperarm 37 59 23 26 33 22 759 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 5124 76.375 % Incorrectly Classified Instances 1585 23.625 % Kappa statistic 0.7244 Mean absolute error 0.1131 Root mean squared error 0.2222 Relative absolute error 46.2024 % Root relative squared error 63.4909 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.811 0.041 0.767 0.811 0.788 0.972 chest 0.765 0.036 0.779 0.765 0.772 0.963 forearm 0.699 0.051 0.697 0.699 0.698 0.938 head 0.824 0.022 0.863 0.824 0.843 0.98 shin 0.78 0.039 0.771 0.78 0.776 0.968 thigh 0.688 0.04 0.742 0.688 0.714 0.945 upperarm 0.779 0.047 0.733 0.779 0.755 0.96 waist Weighted Avg. 0.764 0.039 0.764 0.764 0.764 0.961 === Confusion Matrix === a b c d e f g <-- classified as 778 20 33 8 41 49 30 | a = chest 47 730 39 4 27 33 74 | b = forearm 46 54 670 25 31 58 75 | c = head 8 10 48 790 47 26 30 | d = shin 48 29 35 41 748 32 26 | e = thigh 51 46 99 28 37 660 38 | f = upperarm 37 48 37 19 39 32 748 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 5122 76.3452 % Incorrectly Classified Instances 1587 23.6548 % Kappa statistic 0.724 Mean absolute error 0.1117 Root mean squared error 0.2202 Relative absolute error 45.6308 % Root relative squared error 62.9277 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.818 0.042 0.764 0.818 0.79 0.973 chest 0.766 0.039 0.767 0.766 0.767 0.965 forearm 0.707 0.046 0.72 0.707 0.713 0.946 head 0.828 0.022 0.863 0.828 0.845 0.98 shin 0.764 0.035 0.785 0.764 0.774 0.968 thigh 0.664 0.044 0.715 0.664 0.689 0.94 upperarm 0.797 0.048 0.733 0.797 0.764 0.966 waist Weighted Avg. 0.763 0.039 0.764 0.763 0.763 0.963 === Confusion Matrix === a b c d e f g <-- classified as 784 29 21 4 30 48 43 | a = chest 38 731 46 11 31 29 68 | b = forearm 51 50 678 21 27 74 58 | c = head 9 14 32 794 52 36 22 | d = shin 55 21 31 40 733 36 43 | e = thigh 62 59 98 23 36 637 44 | f = upperarm 27 49 36 27 25 31 765 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 1 FOLD: 0 Correctly Classified Instances 5133 76.4978 % Incorrectly Classified Instances 1577 23.5022 % Kappa statistic 0.7258 Mean absolute error 0.1128 Root mean squared error 0.2216 Relative absolute error 46.0688 % Root relative squared error 63.3236 % Total Number of Instances 6710 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.82 0.042 0.763 0.82 0.791 0.97 chest 0.779 0.038 0.772 0.779 0.776 0.966 forearm 0.708 0.047 0.713 0.708 0.711 0.939 head 0.819 0.022 0.86 0.819 0.839 0.976 shin 0.761 0.038 0.771 0.761 0.766 0.965 thigh 0.687 0.038 0.752 0.687 0.718 0.948 upperarm 0.781 0.049 0.729 0.781 0.754 0.964 waist Weighted Avg. 0.765 0.039 0.766 0.765 0.765 0.961 === Confusion Matrix === a b c d e f g <-- classified as 787 25 23 7 34 36 48 | a = chest 39 743 44 9 36 22 61 | b = forearm 42 43 679 27 36 69 63 | c = head 9 14 47 785 49 29 26 | d = shin 63 31 31 33 731 29 42 | e = thigh 48 51 100 28 34 659 39 | f = upperarm 43 55 28 24 28 32 749 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 5143 76.6468 % Incorrectly Classified Instances 1567 23.3532 % Kappa statistic 0.7275 Mean absolute error 0.1119 Root mean squared error 0.2195 Relative absolute error 45.6995 % Root relative squared error 62.718 % Total Number of Instances 6710 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.826 0.039 0.781 0.826 0.803 0.975 chest 0.747 0.036 0.775 0.747 0.761 0.962 forearm 0.719 0.052 0.697 0.719 0.708 0.944 head 0.833 0.021 0.87 0.833 0.851 0.981 shin 0.779 0.036 0.784 0.779 0.782 0.969 thigh 0.679 0.043 0.724 0.679 0.701 0.946 upperarm 0.781 0.046 0.739 0.781 0.76 0.968 waist Weighted Avg. 0.766 0.039 0.767 0.766 0.766 0.964 === Confusion Matrix === a b c d e f g <-- classified as 793 19 27 4 34 51 32 | a = chest 35 713 68 11 24 36 67 | b = forearm 28 39 690 28 45 66 63 | c = head 14 16 26 799 39 37 28 | d = shin 44 25 33 36 748 38 36 | e = thigh 70 43 109 23 25 651 38 | f = upperarm 32 65 37 17 39 20 749 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 5137 76.5574 % Incorrectly Classified Instances 1573 23.4426 % Kappa statistic 0.7265 Mean absolute error 0.1123 Root mean squared error 0.2208 Relative absolute error 45.8655 % Root relative squared error 63.087 % Total Number of Instances 6710 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.823 0.041 0.77 0.823 0.796 0.971 chest 0.783 0.043 0.75 0.783 0.766 0.962 forearm 0.678 0.038 0.747 0.678 0.711 0.942 head 0.827 0.022 0.865 0.827 0.845 0.977 shin 0.769 0.036 0.783 0.769 0.776 0.967 thigh 0.689 0.041 0.736 0.689 0.712 0.947 upperarm 0.791 0.053 0.715 0.791 0.751 0.963 waist Weighted Avg. 0.766 0.039 0.767 0.766 0.765 0.961 === Confusion Matrix === a b c d e f g <-- classified as 790 34 20 7 40 47 22 | a = chest 42 746 39 3 24 29 70 | b = forearm 51 49 650 29 32 65 83 | c = head 14 20 31 793 34 30 37 | d = shin 48 28 26 39 738 41 40 | e = thigh 53 63 76 24 33 661 50 | f = upperarm 28 55 28 22 42 25 759 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 5124 76.375 % Incorrectly Classified Instances 1585 23.625 % Kappa statistic 0.7244 Mean absolute error 0.1123 Root mean squared error 0.2207 Relative absolute error 45.8562 % Root relative squared error 63.08 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.781 0.039 0.768 0.781 0.775 0.967 chest 0.785 0.041 0.759 0.785 0.772 0.964 forearm 0.699 0.047 0.713 0.699 0.706 0.944 head 0.839 0.02 0.873 0.839 0.856 0.979 shin 0.755 0.033 0.791 0.755 0.773 0.966 thigh 0.695 0.046 0.716 0.695 0.705 0.946 upperarm 0.792 0.049 0.731 0.792 0.76 0.964 waist Weighted Avg. 0.764 0.039 0.765 0.764 0.764 0.961 === Confusion Matrix === a b c d e f g <-- classified as 750 29 31 7 37 57 49 | a = chest 39 748 49 10 27 28 52 | b = forearm 41 49 670 20 29 77 73 | c = head 11 16 40 805 37 28 22 | d = shin 55 38 26 40 724 43 33 | e = thigh 50 54 81 23 34 667 51 | f = upperarm 30 51 43 17 27 31 760 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 5126 76.4048 % Incorrectly Classified Instances 1583 23.5952 % Kappa statistic 0.7247 Mean absolute error 0.1131 Root mean squared error 0.2215 Relative absolute error 46.1892 % Root relative squared error 63.2944 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.805 0.037 0.783 0.805 0.794 0.971 chest 0.775 0.041 0.758 0.775 0.767 0.966 forearm 0.704 0.042 0.736 0.704 0.72 0.943 head 0.834 0.026 0.843 0.834 0.839 0.978 shin 0.78 0.032 0.803 0.78 0.792 0.969 thigh 0.667 0.045 0.713 0.667 0.689 0.943 upperarm 0.783 0.053 0.713 0.783 0.747 0.962 waist Weighted Avg. 0.764 0.039 0.764 0.764 0.764 0.962 === Confusion Matrix === a b c d e f g <-- classified as 773 38 22 5 24 52 46 | a = chest 25 739 46 4 25 37 77 | b = forearm 52 41 675 31 33 66 61 | c = head 9 19 35 800 40 30 26 | d = shin 41 19 21 49 748 32 49 | e = thigh 51 57 96 34 39 640 43 | f = upperarm 36 62 22 26 22 40 751 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 5124 76.375 % Incorrectly Classified Instances 1585 23.625 % Kappa statistic 0.7244 Mean absolute error 0.1131 Root mean squared error 0.2213 Relative absolute error 46.185 % Root relative squared error 63.2401 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.787 0.039 0.771 0.787 0.779 0.969 chest 0.764 0.041 0.756 0.764 0.76 0.963 forearm 0.701 0.047 0.713 0.701 0.707 0.94 head 0.853 0.021 0.872 0.853 0.862 0.982 shin 0.755 0.035 0.783 0.755 0.769 0.965 thigh 0.691 0.046 0.715 0.691 0.703 0.947 upperarm 0.795 0.047 0.738 0.795 0.765 0.965 waist Weighted Avg. 0.764 0.039 0.764 0.764 0.764 0.961 === Confusion Matrix === a b c d e f g <-- classified as 755 27 28 12 44 53 40 | a = chest 38 728 56 8 22 34 67 | b = forearm 40 35 672 27 32 73 80 | c = head 6 14 33 818 42 22 24 | d = shin 42 36 35 38 725 53 31 | e = thigh 62 64 92 17 32 663 29 | f = upperarm 36 59 26 18 29 29 763 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 5164 76.9712 % Incorrectly Classified Instances 1545 23.0288 % Kappa statistic 0.7313 Mean absolute error 0.1118 Root mean squared error 0.22 Relative absolute error 45.6452 % Root relative squared error 62.879 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.811 0.038 0.78 0.811 0.795 0.972 chest 0.753 0.034 0.786 0.753 0.77 0.963 forearm 0.707 0.05 0.702 0.707 0.704 0.94 head 0.822 0.018 0.885 0.822 0.852 0.979 shin 0.778 0.034 0.79 0.778 0.784 0.968 thigh 0.718 0.044 0.732 0.718 0.725 0.946 upperarm 0.798 0.05 0.725 0.798 0.76 0.966 waist Weighted Avg. 0.77 0.038 0.772 0.77 0.77 0.962 === Confusion Matrix === a b c d e f g <-- classified as 778 24 29 6 41 40 41 | a = chest 36 718 57 4 30 42 66 | b = forearm 51 39 678 15 30 70 76 | c = head 6 16 45 788 43 32 29 | d = shin 54 27 29 37 747 32 34 | e = thigh 40 44 98 20 24 689 44 | f = upperarm 33 45 30 20 30 36 766 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 5149 76.7477 % Incorrectly Classified Instances 1560 23.2523 % Kappa statistic 0.7287 Mean absolute error 0.1116 Root mean squared error 0.2205 Relative absolute error 45.587 % Root relative squared error 63.0078 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.824 0.045 0.755 0.824 0.788 0.971 chest 0.768 0.042 0.75 0.768 0.759 0.963 forearm 0.697 0.043 0.731 0.697 0.713 0.944 head 0.819 0.02 0.871 0.819 0.844 0.981 shin 0.766 0.033 0.795 0.766 0.78 0.961 thigh 0.689 0.039 0.746 0.689 0.717 0.946 upperarm 0.81 0.049 0.733 0.81 0.77 0.965 waist Weighted Avg. 0.767 0.039 0.769 0.767 0.767 0.962 === Confusion Matrix === a b c d e f g <-- classified as 790 32 19 8 35 45 30 | a = chest 41 732 53 10 25 30 62 | b = forearm 48 51 668 23 30 66 73 | c = head 9 19 32 785 42 30 42 | d = shin 55 31 38 29 735 34 38 | e = thigh 66 55 79 28 31 661 39 | f = upperarm 37 56 25 18 26 20 778 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 5040 75.123 % Incorrectly Classified Instances 1669 24.877 % Kappa statistic 0.7098 Mean absolute error 0.1146 Root mean squared error 0.2238 Relative absolute error 46.7996 % Root relative squared error 63.9687 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.782 0.043 0.75 0.782 0.766 0.967 chest 0.762 0.039 0.764 0.762 0.763 0.964 forearm 0.689 0.052 0.689 0.689 0.689 0.94 head 0.809 0.023 0.852 0.809 0.83 0.977 shin 0.735 0.038 0.762 0.735 0.749 0.961 thigh 0.705 0.05 0.701 0.705 0.703 0.946 upperarm 0.776 0.044 0.747 0.776 0.761 0.966 waist Weighted Avg. 0.751 0.041 0.752 0.751 0.751 0.96 === Confusion Matrix === a b c d e f g <-- classified as 750 23 29 3 45 64 45 | a = chest 43 726 57 6 25 36 60 | b = forearm 38 57 661 24 38 77 64 | c = head 13 12 46 776 40 43 29 | d = shin 65 34 39 48 706 42 26 | e = thigh 56 37 97 26 39 676 28 | f = upperarm 35 61 31 28 33 27 745 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 5074 75.6298 % Incorrectly Classified Instances 1635 24.3702 % Kappa statistic 0.7157 Mean absolute error 0.1142 Root mean squared error 0.2232 Relative absolute error 46.6152 % Root relative squared error 63.7934 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.808 0.037 0.783 0.808 0.795 0.972 chest 0.746 0.043 0.741 0.746 0.744 0.959 forearm 0.702 0.045 0.721 0.702 0.711 0.941 head 0.83 0.025 0.846 0.83 0.838 0.978 shin 0.773 0.037 0.779 0.773 0.776 0.966 thigh 0.664 0.042 0.723 0.664 0.692 0.944 upperarm 0.771 0.054 0.703 0.771 0.736 0.96 waist Weighted Avg. 0.756 0.041 0.757 0.756 0.756 0.96 === Confusion Matrix === a b c d e f g <-- classified as 775 32 26 7 31 47 41 | a = chest 37 711 48 6 29 37 85 | b = forearm 40 49 673 25 33 69 70 | c = head 6 13 34 796 49 24 37 | d = shin 47 27 30 45 742 33 36 | e = thigh 56 65 99 35 24 637 43 | f = upperarm 29 62 24 27 44 34 740 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 2 FOLD: 0 Correctly Classified Instances 5091 75.8718 % Incorrectly Classified Instances 1619 24.1282 % Kappa statistic 0.7185 Mean absolute error 0.1143 Root mean squared error 0.2235 Relative absolute error 46.6577 % Root relative squared error 63.8785 % Total Number of Instances 6710 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.805 0.042 0.763 0.805 0.784 0.968 chest 0.751 0.038 0.765 0.751 0.758 0.958 forearm 0.697 0.046 0.718 0.697 0.707 0.938 head 0.818 0.021 0.869 0.818 0.843 0.979 shin 0.768 0.036 0.781 0.768 0.774 0.963 thigh 0.68 0.05 0.696 0.68 0.688 0.942 upperarm 0.792 0.05 0.727 0.792 0.758 0.964 waist Weighted Avg. 0.759 0.04 0.76 0.759 0.759 0.959 === Confusion Matrix === a b c d e f g <-- classified as 773 32 23 5 30 60 37 | a = chest 46 716 44 5 32 33 77 | b = forearm 40 44 668 28 39 77 63 | c = head 14 16 40 784 41 35 29 | d = shin 51 27 32 32 737 50 31 | e = thigh 50 53 93 32 30 653 49 | f = upperarm 39 48 31 16 35 30 760 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 5153 76.7958 % Incorrectly Classified Instances 1557 23.2042 % Kappa statistic 0.7293 Mean absolute error 0.1129 Root mean squared error 0.2212 Relative absolute error 46.0978 % Root relative squared error 63.218 % Total Number of Instances 6710 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.804 0.041 0.766 0.804 0.785 0.968 chest 0.779 0.038 0.775 0.779 0.777 0.965 forearm 0.692 0.047 0.712 0.692 0.702 0.939 head 0.847 0.019 0.88 0.847 0.863 0.981 shin 0.759 0.035 0.786 0.759 0.772 0.966 thigh 0.697 0.044 0.727 0.697 0.712 0.945 upperarm 0.798 0.048 0.735 0.798 0.765 0.965 waist Weighted Avg. 0.768 0.039 0.769 0.768 0.768 0.961 === Confusion Matrix === a b c d e f g <-- classified as 772 28 31 5 41 43 40 | a = chest 36 742 52 7 26 24 66 | b = forearm 52 45 664 21 33 80 64 | c = head 14 15 31 812 32 33 22 | d = shin 56 29 28 33 729 43 42 | e = thigh 51 46 89 29 34 669 42 | f = upperarm 27 53 37 16 33 28 765 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 5120 76.304 % Incorrectly Classified Instances 1590 23.696 % Kappa statistic 0.7235 Mean absolute error 0.1135 Root mean squared error 0.222 Relative absolute error 46.3527 % Root relative squared error 63.4537 % Total Number of Instances 6710 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.802 0.041 0.765 0.802 0.783 0.969 chest 0.781 0.039 0.767 0.781 0.774 0.966 forearm 0.698 0.045 0.72 0.698 0.709 0.94 head 0.824 0.024 0.849 0.824 0.836 0.979 shin 0.768 0.038 0.773 0.768 0.77 0.969 thigh 0.68 0.04 0.738 0.68 0.708 0.943 upperarm 0.789 0.048 0.731 0.789 0.759 0.964 waist Weighted Avg. 0.763 0.039 0.763 0.763 0.763 0.961 === Confusion Matrix === a b c d e f g <-- classified as 770 35 31 9 30 51 34 | a = chest 43 744 46 8 22 23 67 | b = forearm 52 39 669 30 44 54 71 | c = head 6 16 36 790 42 38 31 | d = shin 52 28 30 40 737 36 37 | e = thigh 51 56 87 30 45 653 38 | f = upperarm 33 52 30 23 34 30 757 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 5126 76.4048 % Incorrectly Classified Instances 1583 23.5952 % Kappa statistic 0.7247 Mean absolute error 0.1125 Root mean squared error 0.2206 Relative absolute error 45.9346 % Root relative squared error 63.0364 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.813 0.035 0.793 0.813 0.803 0.972 chest 0.754 0.037 0.772 0.754 0.763 0.964 forearm 0.682 0.047 0.709 0.682 0.695 0.941 head 0.825 0.025 0.849 0.825 0.837 0.981 shin 0.771 0.037 0.776 0.771 0.774 0.966 thigh 0.707 0.047 0.714 0.707 0.71 0.95 upperarm 0.796 0.048 0.736 0.796 0.765 0.968 waist Weighted Avg. 0.764 0.039 0.764 0.764 0.764 0.963 === Confusion Matrix === a b c d e f g <-- classified as 780 26 22 6 29 52 44 | a = chest 26 719 63 9 31 44 61 | b = forearm 39 51 654 28 38 76 73 | c = head 7 16 34 791 51 38 22 | d = shin 54 24 30 42 740 35 35 | e = thigh 46 42 93 28 33 678 39 | f = upperarm 31 53 26 28 31 27 764 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 5075 75.6447 % Incorrectly Classified Instances 1634 24.3553 % Kappa statistic 0.7159 Mean absolute error 0.1128 Root mean squared error 0.2215 Relative absolute error 46.0443 % Root relative squared error 63.3046 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.794 0.038 0.777 0.794 0.785 0.969 chest 0.775 0.045 0.742 0.775 0.758 0.964 forearm 0.697 0.05 0.698 0.697 0.697 0.935 head 0.811 0.018 0.88 0.811 0.844 0.98 shin 0.761 0.033 0.792 0.761 0.776 0.963 thigh 0.677 0.044 0.719 0.677 0.697 0.944 upperarm 0.78 0.055 0.703 0.78 0.739 0.965 waist Weighted Avg. 0.756 0.041 0.759 0.756 0.757 0.96 === Confusion Matrix === a b c d e f g <-- classified as 761 40 26 4 42 43 43 | a = chest 22 739 60 3 24 34 71 | b = forearm 42 52 668 18 30 66 83 | c = head 9 22 42 778 39 41 28 | d = shin 60 24 26 33 731 41 45 | e = thigh 53 60 99 23 28 649 47 | f = upperarm 33 59 36 25 29 29 749 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 5127 76.4197 % Incorrectly Classified Instances 1582 23.5803 % Kappa statistic 0.7249 Mean absolute error 0.1118 Root mean squared error 0.2209 Relative absolute error 45.6532 % Root relative squared error 63.1304 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.84 0.044 0.763 0.84 0.8 0.975 chest 0.766 0.038 0.768 0.766 0.767 0.961 forearm 0.724 0.05 0.707 0.724 0.715 0.944 head 0.819 0.021 0.866 0.819 0.842 0.977 shin 0.76 0.035 0.782 0.76 0.771 0.965 thigh 0.681 0.039 0.745 0.681 0.712 0.945 upperarm 0.759 0.048 0.725 0.759 0.742 0.961 waist Weighted Avg. 0.764 0.039 0.765 0.764 0.764 0.961 === Confusion Matrix === a b c d e f g <-- classified as 806 23 19 2 26 43 40 | a = chest 43 730 55 8 26 32 59 | b = forearm 38 39 694 24 33 66 65 | c = head 5 10 46 785 56 20 37 | d = shin 63 33 29 43 730 30 32 | e = thigh 54 51 104 24 30 653 43 | f = upperarm 48 64 35 20 32 32 729 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 5106 76.1067 % Incorrectly Classified Instances 1603 23.8933 % Kappa statistic 0.7212 Mean absolute error 0.1138 Root mean squared error 0.2228 Relative absolute error 46.4631 % Root relative squared error 63.6582 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.767 0.043 0.749 0.767 0.758 0.965 chest 0.775 0.04 0.762 0.775 0.769 0.962 forearm 0.712 0.046 0.72 0.712 0.716 0.945 head 0.84 0.023 0.859 0.84 0.85 0.978 shin 0.75 0.035 0.782 0.75 0.766 0.965 thigh 0.673 0.046 0.71 0.673 0.691 0.941 upperarm 0.809 0.046 0.746 0.809 0.777 0.965 waist Weighted Avg. 0.761 0.04 0.761 0.761 0.761 0.96 === Confusion Matrix === a b c d e f g <-- classified as 736 34 31 10 43 68 37 | a = chest 38 739 52 7 32 28 57 | b = forearm 44 40 683 24 38 64 66 | c = head 12 14 33 806 33 29 32 | d = shin 57 32 24 45 720 44 38 | e = thigh 57 59 104 26 34 645 34 | f = upperarm 39 52 21 20 21 30 777 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 5124 76.375 % Incorrectly Classified Instances 1585 23.625 % Kappa statistic 0.7244 Mean absolute error 0.113 Root mean squared error 0.221 Relative absolute error 46.1252 % Root relative squared error 63.1473 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.807 0.039 0.774 0.807 0.79 0.972 chest 0.767 0.041 0.757 0.767 0.762 0.964 forearm 0.703 0.05 0.7 0.703 0.701 0.942 head 0.791 0.021 0.861 0.791 0.825 0.979 shin 0.779 0.034 0.792 0.779 0.785 0.964 thigh 0.687 0.041 0.739 0.687 0.712 0.949 upperarm 0.811 0.049 0.734 0.811 0.771 0.966 waist Weighted Avg. 0.764 0.039 0.765 0.764 0.764 0.962 === Confusion Matrix === a b c d e f g <-- classified as 774 25 37 7 42 44 30 | a = chest 39 731 54 5 18 29 77 | b = forearm 44 49 674 23 21 80 68 | c = head 11 17 54 759 52 32 34 | d = shin 47 40 30 41 748 23 31 | e = thigh 54 55 88 26 35 659 42 | f = upperarm 31 49 26 21 29 25 779 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 5153 76.8073 % Incorrectly Classified Instances 1556 23.1927 % Kappa statistic 0.7294 Mean absolute error 0.1097 Root mean squared error 0.2178 Relative absolute error 44.805 % Root relative squared error 62.2481 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.81 0.039 0.775 0.81 0.792 0.972 chest 0.774 0.04 0.762 0.774 0.768 0.964 forearm 0.683 0.041 0.734 0.683 0.708 0.945 head 0.852 0.023 0.86 0.852 0.856 0.981 shin 0.756 0.031 0.804 0.756 0.779 0.968 thigh 0.701 0.042 0.738 0.701 0.719 0.951 upperarm 0.801 0.055 0.71 0.801 0.753 0.966 waist Weighted Avg. 0.768 0.039 0.769 0.768 0.768 0.964 === Confusion Matrix === a b c d e f g <-- classified as 778 24 28 8 27 52 43 | a = chest 41 738 42 5 15 34 79 | b = forearm 52 44 655 25 35 70 78 | c = head 9 18 30 817 35 23 27 | d = shin 46 29 30 48 725 34 47 | e = thigh 52 54 83 24 34 672 40 | f = upperarm 26 61 24 23 31 26 768 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 5133 76.5092 % Incorrectly Classified Instances 1576 23.4908 % Kappa statistic 0.7259 Mean absolute error 0.113 Root mean squared error 0.2212 Relative absolute error 46.1476 % Root relative squared error 63.2086 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.823 0.04 0.774 0.823 0.798 0.972 chest 0.768 0.039 0.764 0.768 0.766 0.962 forearm 0.696 0.043 0.73 0.696 0.712 0.944 head 0.821 0.022 0.862 0.821 0.841 0.979 shin 0.756 0.036 0.776 0.756 0.766 0.965 thigh 0.693 0.042 0.733 0.693 0.713 0.944 upperarm 0.799 0.051 0.723 0.799 0.759 0.962 waist Weighted Avg. 0.765 0.039 0.766 0.765 0.765 0.961 === Confusion Matrix === a b c d e f g <-- classified as 790 25 21 10 41 36 37 | a = chest 33 733 46 8 24 35 75 | b = forearm 43 41 667 23 45 70 70 | c = head 17 20 24 787 40 35 36 | d = shin 44 28 35 48 725 46 33 | e = thigh 60 56 87 23 25 665 43 | f = upperarm 34 57 34 14 34 20 766 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 3 FOLD: 0 Correctly Classified Instances 5039 75.0969 % Incorrectly Classified Instances 1671 24.9031 % Kappa statistic 0.7095 Mean absolute error 0.1158 Root mean squared error 0.2254 Relative absolute error 47.3039 % Root relative squared error 64.4038 % Total Number of Instances 6710 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.805 0.045 0.749 0.805 0.776 0.969 chest 0.772 0.045 0.74 0.772 0.756 0.965 forearm 0.693 0.05 0.696 0.693 0.695 0.935 head 0.814 0.022 0.859 0.814 0.836 0.978 shin 0.733 0.033 0.789 0.733 0.76 0.962 thigh 0.665 0.048 0.699 0.665 0.681 0.939 upperarm 0.774 0.047 0.731 0.774 0.752 0.96 waist Weighted Avg. 0.751 0.042 0.752 0.751 0.751 0.958 === Confusion Matrix === a b c d e f g <-- classified as 773 39 21 6 32 53 36 | a = chest 36 736 55 7 21 38 60 | b = forearm 49 47 665 27 37 69 65 | c = head 14 22 35 781 43 33 31 | d = shin 53 34 33 48 704 48 40 | e = thigh 61 59 108 24 29 638 41 | f = upperarm 46 57 38 16 26 34 742 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 5077 75.6632 % Incorrectly Classified Instances 1633 24.3368 % Kappa statistic 0.7161 Mean absolute error 0.1133 Root mean squared error 0.2224 Relative absolute error 46.2732 % Root relative squared error 63.5598 % Total Number of Instances 6710 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.806 0.04 0.772 0.806 0.789 0.968 chest 0.76 0.045 0.735 0.76 0.747 0.962 forearm 0.694 0.045 0.721 0.694 0.707 0.941 head 0.815 0.024 0.848 0.815 0.831 0.978 shin 0.771 0.034 0.79 0.771 0.78 0.966 thigh 0.668 0.042 0.726 0.668 0.696 0.945 upperarm 0.782 0.054 0.709 0.782 0.744 0.962 waist Weighted Avg. 0.757 0.041 0.757 0.757 0.756 0.961 === Confusion Matrix === a b c d e f g <-- classified as 774 32 26 11 33 51 33 | a = chest 35 725 53 7 30 40 64 | b = forearm 44 47 666 28 28 65 81 | c = head 4 24 40 782 42 28 39 | d = shin 48 30 22 36 739 34 50 | e = thigh 63 58 87 36 34 641 41 | f = upperarm 34 70 30 22 29 24 750 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 5175 77.1237 % Incorrectly Classified Instances 1535 22.8763 % Kappa statistic 0.7331 Mean absolute error 0.1104 Root mean squared error 0.2184 Relative absolute error 45.0892 % Root relative squared error 62.4117 % Total Number of Instances 6710 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.83 0.034 0.802 0.83 0.816 0.979 chest 0.733 0.036 0.773 0.733 0.752 0.96 forearm 0.7 0.045 0.724 0.7 0.712 0.938 head 0.836 0.023 0.86 0.836 0.848 0.982 shin 0.789 0.038 0.778 0.789 0.784 0.967 thigh 0.702 0.045 0.722 0.702 0.712 0.949 upperarm 0.808 0.047 0.741 0.808 0.773 0.966 waist Weighted Avg. 0.771 0.038 0.771 0.771 0.771 0.963 === Confusion Matrix === a b c d e f g <-- classified as 797 19 18 8 40 49 29 | a = chest 44 699 57 7 29 37 81 | b = forearm 33 52 671 31 34 74 64 | c = head 6 12 31 802 42 32 34 | d = shin 49 27 24 38 757 36 28 | e = thigh 40 54 96 24 37 674 35 | f = upperarm 25 41 30 23 34 31 775 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 5131 76.4794 % Incorrectly Classified Instances 1578 23.5206 % Kappa statistic 0.7256 Mean absolute error 0.1126 Root mean squared error 0.221 Relative absolute error 45.9605 % Root relative squared error 63.1495 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.829 0.041 0.772 0.829 0.8 0.972 chest 0.778 0.041 0.757 0.778 0.767 0.961 forearm 0.711 0.044 0.729 0.711 0.72 0.947 head 0.815 0.022 0.859 0.815 0.837 0.975 shin 0.765 0.033 0.795 0.765 0.78 0.961 thigh 0.666 0.041 0.732 0.666 0.698 0.945 upperarm 0.789 0.052 0.716 0.789 0.751 0.965 waist Weighted Avg. 0.765 0.039 0.766 0.765 0.765 0.961 === Confusion Matrix === a b c d e f g <-- classified as 796 26 18 8 36 44 32 | a = chest 35 741 48 6 24 25 74 | b = forearm 38 50 682 23 27 63 76 | c = head 16 13 41 782 37 34 36 | d = shin 59 26 24 40 734 41 36 | e = thigh 55 52 95 31 41 639 46 | f = upperarm 32 71 28 20 24 27 757 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 5134 76.5241 % Incorrectly Classified Instances 1575 23.4759 % Kappa statistic 0.7261 Mean absolute error 0.1111 Root mean squared error 0.219 Relative absolute error 45.3794 % Root relative squared error 62.5979 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.803 0.038 0.777 0.803 0.79 0.971 chest 0.788 0.041 0.761 0.788 0.774 0.966 forearm 0.69 0.051 0.695 0.69 0.692 0.94 head 0.827 0.02 0.874 0.827 0.85 0.979 shin 0.766 0.033 0.795 0.766 0.78 0.97 thigh 0.69 0.043 0.73 0.69 0.71 0.951 upperarm 0.792 0.048 0.732 0.792 0.761 0.967 waist Weighted Avg. 0.765 0.039 0.766 0.765 0.765 0.964 === Confusion Matrix === a b c d e f g <-- classified as 771 31 27 6 27 51 47 | a = chest 35 751 49 8 26 32 52 | b = forearm 56 41 662 14 38 78 70 | c = head 8 20 47 793 41 22 28 | d = shin 44 31 41 36 735 33 40 | e = thigh 52 49 94 31 30 662 41 | f = upperarm 26 64 33 19 28 29 760 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 5120 76.3154 % Incorrectly Classified Instances 1589 23.6846 % Kappa statistic 0.7237 Mean absolute error 0.1132 Root mean squared error 0.2216 Relative absolute error 46.2113 % Root relative squared error 63.3324 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.801 0.044 0.753 0.801 0.776 0.967 chest 0.769 0.034 0.789 0.769 0.779 0.966 forearm 0.675 0.049 0.696 0.675 0.685 0.933 head 0.84 0.026 0.842 0.84 0.841 0.979 shin 0.758 0.033 0.792 0.758 0.775 0.967 thigh 0.698 0.044 0.726 0.698 0.711 0.946 upperarm 0.801 0.046 0.745 0.801 0.772 0.965 waist Weighted Avg. 0.763 0.039 0.763 0.763 0.763 0.96 === Confusion Matrix === a b c d e f g <-- classified as 768 25 30 6 41 54 35 | a = chest 47 733 52 10 20 27 64 | b = forearm 47 40 647 33 47 78 67 | c = head 8 15 43 806 33 30 24 | d = shin 61 28 31 49 728 35 28 | e = thigh 55 35 101 28 26 669 45 | f = upperarm 34 53 26 25 24 29 769 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 5141 76.6284 % Incorrectly Classified Instances 1568 23.3716 % Kappa statistic 0.7273 Mean absolute error 0.1129 Root mean squared error 0.2212 Relative absolute error 46.112 % Root relative squared error 63.2177 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.815 0.04 0.773 0.815 0.794 0.971 chest 0.758 0.039 0.765 0.758 0.761 0.959 forearm 0.693 0.043 0.731 0.693 0.712 0.943 head 0.834 0.023 0.856 0.834 0.845 0.982 shin 0.774 0.037 0.778 0.774 0.776 0.968 thigh 0.704 0.043 0.73 0.704 0.717 0.946 upperarm 0.785 0.048 0.733 0.785 0.759 0.963 waist Weighted Avg. 0.766 0.039 0.766 0.766 0.766 0.962 === Confusion Matrix === a b c d e f g <-- classified as 782 33 16 11 32 48 37 | a = chest 25 722 66 9 27 36 68 | b = forearm 44 44 665 26 35 78 67 | c = head 10 13 36 800 45 33 22 | d = shin 54 29 18 40 743 34 42 | e = thigh 53 49 78 29 37 675 38 | f = upperarm 44 54 31 20 36 21 754 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 5147 76.7178 % Incorrectly Classified Instances 1562 23.2822 % Kappa statistic 0.7284 Mean absolute error 0.1119 Root mean squared error 0.2207 Relative absolute error 45.696 % Root relative squared error 63.0741 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.802 0.039 0.772 0.802 0.787 0.97 chest 0.772 0.038 0.772 0.772 0.772 0.964 forearm 0.709 0.047 0.716 0.709 0.712 0.945 head 0.835 0.021 0.871 0.835 0.853 0.978 shin 0.772 0.032 0.799 0.772 0.785 0.967 thigh 0.692 0.045 0.719 0.692 0.706 0.943 upperarm 0.788 0.049 0.727 0.788 0.756 0.964 waist Weighted Avg. 0.767 0.039 0.768 0.767 0.767 0.961 === Confusion Matrix === a b c d e f g <-- classified as 769 22 37 5 26 55 45 | a = chest 36 736 46 3 32 29 71 | b = forearm 47 43 680 22 30 73 64 | c = head 15 12 29 801 45 31 26 | d = shin 46 32 30 35 741 40 36 | e = thigh 54 53 95 26 25 664 42 | f = upperarm 29 55 33 28 28 31 756 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 5066 75.5105 % Incorrectly Classified Instances 1643 24.4895 % Kappa statistic 0.7143 Mean absolute error 0.1149 Root mean squared error 0.2243 Relative absolute error 46.9156 % Root relative squared error 64.0901 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.782 0.039 0.769 0.782 0.776 0.969 chest 0.754 0.041 0.753 0.754 0.754 0.961 forearm 0.7 0.051 0.695 0.7 0.698 0.938 head 0.812 0.021 0.865 0.812 0.838 0.978 shin 0.782 0.037 0.778 0.782 0.78 0.967 thigh 0.682 0.043 0.725 0.682 0.703 0.938 upperarm 0.773 0.053 0.709 0.773 0.74 0.964 waist Weighted Avg. 0.755 0.041 0.756 0.755 0.755 0.959 === Confusion Matrix === a b c d e f g <-- classified as 750 30 33 7 37 56 46 | a = chest 37 719 59 4 24 32 78 | b = forearm 39 55 671 25 37 67 65 | c = head 8 14 47 779 37 37 37 | d = shin 49 29 35 34 751 33 29 | e = thigh 51 50 90 31 34 654 49 | f = upperarm 41 58 30 21 45 23 742 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 5152 76.7924 % Incorrectly Classified Instances 1557 23.2076 % Kappa statistic 0.7292 Mean absolute error 0.111 Root mean squared error 0.2189 Relative absolute error 45.3413 % Root relative squared error 62.5653 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.81 0.039 0.775 0.81 0.792 0.971 chest 0.778 0.039 0.766 0.778 0.772 0.966 forearm 0.739 0.048 0.718 0.739 0.729 0.949 head 0.831 0.021 0.867 0.831 0.849 0.979 shin 0.746 0.034 0.786 0.746 0.765 0.962 thigh 0.682 0.042 0.73 0.682 0.705 0.949 upperarm 0.79 0.047 0.738 0.79 0.763 0.967 waist Weighted Avg. 0.768 0.039 0.769 0.768 0.768 0.963 === Confusion Matrix === a b c d e f g <-- classified as 777 32 28 5 31 44 42 | a = chest 36 741 47 6 29 37 57 | b = forearm 46 37 709 17 32 55 63 | c = head 11 8 44 797 40 34 25 | d = shin 51 27 37 36 716 48 45 | e = thigh 51 54 97 26 40 654 37 | f = upperarm 30 68 25 32 23 24 758 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 4 FOLD: 0 Correctly Classified Instances 5080 75.7079 % Incorrectly Classified Instances 1630 24.2921 % Kappa statistic 0.7166 Mean absolute error 0.1132 Root mean squared error 0.2227 Relative absolute error 46.243 % Root relative squared error 63.6454 % Total Number of Instances 6710 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.799 0.04 0.771 0.799 0.784 0.97 chest 0.764 0.04 0.762 0.764 0.763 0.962 forearm 0.697 0.05 0.701 0.697 0.699 0.941 head 0.811 0.024 0.851 0.811 0.831 0.979 shin 0.764 0.035 0.783 0.764 0.773 0.966 thigh 0.684 0.042 0.729 0.684 0.706 0.946 upperarm 0.781 0.053 0.71 0.781 0.744 0.963 waist Weighted Avg. 0.757 0.04 0.758 0.757 0.757 0.961 === Confusion Matrix === a b c d e f g <-- classified as 766 25 26 6 43 45 48 | a = chest 40 728 56 10 21 32 66 | b = forearm 42 43 668 22 26 65 93 | c = head 8 11 57 778 42 38 25 | d = shin 53 30 32 42 733 34 36 | e = thigh 56 51 84 34 40 657 38 | f = upperarm 29 68 30 22 31 30 750 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 5123 76.3487 % Incorrectly Classified Instances 1587 23.6513 % Kappa statistic 0.7241 Mean absolute error 0.1139 Root mean squared error 0.2225 Relative absolute error 46.4951 % Root relative squared error 63.5869 % Total Number of Instances 6710 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.786 0.042 0.759 0.786 0.772 0.966 chest 0.8 0.043 0.754 0.8 0.776 0.967 forearm 0.693 0.045 0.722 0.693 0.707 0.939 head 0.84 0.022 0.865 0.84 0.852 0.981 shin 0.76 0.035 0.782 0.76 0.771 0.965 thigh 0.672 0.042 0.726 0.672 0.698 0.937 upperarm 0.793 0.047 0.738 0.793 0.764 0.963 waist Weighted Avg. 0.763 0.039 0.764 0.763 0.763 0.96 === Confusion Matrix === a b c d e f g <-- classified as 754 37 29 3 44 57 35 | a = chest 36 762 38 4 27 26 60 | b = forearm 49 53 665 30 28 69 65 | c = head 6 13 31 806 44 32 27 | d = shin 58 37 25 44 730 30 36 | e = thigh 53 68 100 22 25 645 47 | f = upperarm 38 40 33 23 36 29 761 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 5151 76.766 % Incorrectly Classified Instances 1559 23.234 % Kappa statistic 0.7289 Mean absolute error 0.1119 Root mean squared error 0.2202 Relative absolute error 45.6889 % Root relative squared error 62.9198 % Total Number of Instances 6710 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.83 0.042 0.767 0.83 0.797 0.971 chest 0.753 0.038 0.765 0.753 0.759 0.965 forearm 0.708 0.048 0.71 0.708 0.709 0.945 head 0.837 0.022 0.863 0.837 0.85 0.979 shin 0.763 0.027 0.822 0.763 0.791 0.964 thigh 0.683 0.048 0.703 0.683 0.693 0.943 upperarm 0.799 0.044 0.75 0.799 0.774 0.967 waist Weighted Avg. 0.768 0.039 0.769 0.768 0.768 0.962 === Confusion Matrix === a b c d e f g <-- classified as 796 31 17 13 29 49 24 | a = chest 42 718 65 6 15 36 71 | b = forearm 36 41 679 20 29 86 68 | c = head 10 17 29 803 36 37 27 | d = shin 57 32 25 38 732 44 32 | e = thigh 65 47 107 25 27 656 33 | f = upperarm 32 53 35 26 22 25 767 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 5123 76.3601 % Incorrectly Classified Instances 1586 23.6399 % Kappa statistic 0.7242 Mean absolute error 0.1122 Root mean squared error 0.221 Relative absolute error 45.8141 % Root relative squared error 63.1694 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.803 0.038 0.778 0.803 0.79 0.971 chest 0.771 0.038 0.771 0.771 0.771 0.965 forearm 0.687 0.047 0.709 0.687 0.698 0.941 head 0.812 0.021 0.867 0.812 0.839 0.98 shin 0.796 0.037 0.78 0.796 0.788 0.968 thigh 0.688 0.043 0.728 0.688 0.708 0.942 upperarm 0.788 0.052 0.717 0.788 0.751 0.967 waist Weighted Avg. 0.764 0.039 0.765 0.764 0.764 0.962 === Confusion Matrix === a b c d e f g <-- classified as 770 29 29 9 35 44 43 | a = chest 43 736 53 5 24 26 67 | b = forearm 40 41 659 25 39 77 78 | c = head 10 16 38 779 44 33 39 | d = shin 41 28 27 34 763 35 31 | e = thigh 50 53 83 31 42 660 40 | f = upperarm 36 51 40 15 31 31 756 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 5104 76.0769 % Incorrectly Classified Instances 1605 23.9231 % Kappa statistic 0.7209 Mean absolute error 0.1132 Root mean squared error 0.2224 Relative absolute error 46.24 % Root relative squared error 63.5587 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.798 0.036 0.785 0.798 0.792 0.969 chest 0.765 0.045 0.738 0.765 0.751 0.961 forearm 0.693 0.047 0.71 0.693 0.702 0.941 head 0.828 0.023 0.857 0.828 0.842 0.978 shin 0.765 0.037 0.778 0.765 0.771 0.962 thigh 0.693 0.047 0.712 0.693 0.703 0.95 upperarm 0.782 0.044 0.747 0.782 0.764 0.965 waist Weighted Avg. 0.761 0.04 0.761 0.761 0.761 0.961 === Confusion Matrix === a b c d e f g <-- classified as 765 24 23 4 43 57 43 | a = chest 35 730 54 9 27 39 60 | b = forearm 47 55 665 32 32 75 53 | c = head 9 16 46 794 40 32 22 | d = shin 46 33 28 42 734 39 37 | e = thigh 46 52 96 20 41 665 39 | f = upperarm 26 79 24 26 27 27 751 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 5110 76.1663 % Incorrectly Classified Instances 1599 23.8337 % Kappa statistic 0.7219 Mean absolute error 0.113 Root mean squared error 0.2214 Relative absolute error 46.136 % Root relative squared error 63.2745 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.809 0.044 0.754 0.809 0.781 0.972 chest 0.752 0.039 0.76 0.752 0.756 0.965 forearm 0.696 0.045 0.719 0.696 0.707 0.941 head 0.826 0.018 0.882 0.826 0.853 0.978 shin 0.763 0.037 0.775 0.763 0.769 0.966 thigh 0.707 0.045 0.726 0.707 0.716 0.946 upperarm 0.779 0.05 0.724 0.779 0.75 0.962 waist Weighted Avg. 0.762 0.04 0.763 0.762 0.762 0.961 === Confusion Matrix === a b c d e f g <-- classified as 777 31 26 3 36 51 36 | a = chest 45 717 46 1 30 33 81 | b = forearm 46 52 667 21 43 62 68 | c = head 9 24 40 792 35 34 25 | d = shin 58 29 29 33 732 44 35 | e = thigh 54 42 94 27 24 678 40 | f = upperarm 41 48 26 21 44 32 747 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 5093 75.913 % Incorrectly Classified Instances 1616 24.087 % Kappa statistic 0.719 Mean absolute error 0.1139 Root mean squared error 0.2224 Relative absolute error 46.5017 % Root relative squared error 63.568 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.808 0.042 0.762 0.808 0.785 0.971 chest 0.745 0.041 0.752 0.745 0.749 0.959 forearm 0.71 0.047 0.717 0.71 0.713 0.941 head 0.811 0.023 0.852 0.811 0.831 0.978 shin 0.778 0.034 0.793 0.778 0.785 0.969 thigh 0.682 0.043 0.725 0.682 0.703 0.946 upperarm 0.779 0.051 0.718 0.779 0.747 0.965 waist Weighted Avg. 0.759 0.04 0.76 0.759 0.759 0.961 === Confusion Matrix === a b c d e f g <-- classified as 776 38 26 6 31 47 36 | a = chest 38 710 48 7 37 44 69 | b = forearm 50 41 681 24 26 73 64 | c = head 14 18 36 778 45 27 41 | d = shin 44 32 32 38 747 34 33 | e = thigh 55 43 94 31 32 654 50 | f = upperarm 41 62 33 29 24 23 747 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 5192 77.3886 % Incorrectly Classified Instances 1517 22.6114 % Kappa statistic 0.7362 Mean absolute error 0.1115 Root mean squared error 0.2193 Relative absolute error 45.5489 % Root relative squared error 62.6764 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.817 0.039 0.776 0.817 0.796 0.972 chest 0.794 0.044 0.749 0.794 0.771 0.964 forearm 0.7 0.042 0.737 0.7 0.718 0.939 head 0.837 0.02 0.874 0.837 0.855 0.979 shin 0.779 0.033 0.797 0.779 0.788 0.968 thigh 0.704 0.039 0.753 0.704 0.727 0.949 upperarm 0.786 0.047 0.737 0.786 0.761 0.965 waist Weighted Avg. 0.774 0.038 0.775 0.774 0.774 0.962 === Confusion Matrix === a b c d e f g <-- classified as 784 33 25 4 30 52 32 | a = chest 28 757 43 8 27 20 70 | b = forearm 53 49 671 23 41 59 63 | c = head 12 15 30 803 36 28 35 | d = shin 52 25 25 43 748 37 30 | e = thigh 49 65 92 16 23 675 39 | f = upperarm 32 67 25 22 33 26 754 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 5086 75.8086 % Incorrectly Classified Instances 1623 24.1914 % Kappa statistic 0.7178 Mean absolute error 0.1135 Root mean squared error 0.2227 Relative absolute error 46.342 % Root relative squared error 63.6309 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.802 0.038 0.779 0.802 0.79 0.974 chest 0.745 0.042 0.745 0.745 0.745 0.957 forearm 0.704 0.052 0.693 0.704 0.698 0.942 head 0.823 0.021 0.868 0.823 0.845 0.978 shin 0.745 0.034 0.783 0.745 0.763 0.964 thigh 0.691 0.043 0.729 0.691 0.71 0.945 upperarm 0.797 0.052 0.719 0.797 0.756 0.962 waist Weighted Avg. 0.758 0.04 0.76 0.758 0.758 0.96 === Confusion Matrix === a b c d e f g <-- classified as 770 28 31 8 38 46 39 | a = chest 28 710 59 10 37 37 72 | b = forearm 45 51 675 22 22 71 73 | c = head 9 11 46 789 40 27 37 | d = shin 59 34 36 42 715 40 34 | e = thigh 48 54 98 23 30 663 43 | f = upperarm 30 65 29 15 31 25 764 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 5180 77.2097 % Incorrectly Classified Instances 1529 22.7903 % Kappa statistic 0.7341 Mean absolute error 0.1113 Root mean squared error 0.219 Relative absolute error 45.4573 % Root relative squared error 62.5724 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.807 0.038 0.782 0.807 0.794 0.971 chest 0.77 0.037 0.773 0.77 0.772 0.967 forearm 0.716 0.047 0.719 0.716 0.718 0.942 head 0.846 0.021 0.869 0.846 0.857 0.982 shin 0.767 0.034 0.791 0.767 0.778 0.965 thigh 0.688 0.041 0.737 0.688 0.712 0.946 upperarm 0.81 0.048 0.736 0.81 0.772 0.966 waist Weighted Avg. 0.772 0.038 0.773 0.772 0.772 0.963 === Confusion Matrix === a b c d e f g <-- classified as 775 33 35 10 28 36 43 | a = chest 38 734 42 11 26 45 57 | b = forearm 38 47 687 21 35 71 60 | c = head 7 9 32 811 48 22 30 | d = shin 47 34 32 39 736 36 36 | e = thigh 58 45 88 23 33 660 52 | f = upperarm 28 47 39 18 25 25 777 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 5 FOLD: 0 Correctly Classified Instances 5156 76.8405 % Incorrectly Classified Instances 1554 23.1595 % Kappa statistic 0.7298 Mean absolute error 0.1113 Root mean squared error 0.219 Relative absolute error 45.4364 % Root relative squared error 62.5768 % Total Number of Instances 6710 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.821 0.037 0.786 0.821 0.803 0.974 chest 0.77 0.038 0.77 0.77 0.77 0.967 forearm 0.718 0.05 0.707 0.718 0.713 0.946 head 0.823 0.024 0.853 0.823 0.838 0.977 shin 0.764 0.035 0.786 0.764 0.774 0.963 thigh 0.69 0.045 0.717 0.69 0.703 0.947 upperarm 0.794 0.041 0.762 0.794 0.778 0.967 waist Weighted Avg. 0.768 0.039 0.769 0.768 0.768 0.963 === Confusion Matrix === a b c d e f g <-- classified as 787 20 25 8 34 58 27 | a = chest 36 734 50 8 22 38 65 | b = forearm 41 48 689 22 33 66 60 | c = head 12 13 47 789 46 28 24 | d = shin 47 26 33 50 733 45 26 | e = thigh 46 59 94 28 35 662 36 | f = upperarm 32 53 37 20 30 26 762 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 5095 75.9314 % Incorrectly Classified Instances 1615 24.0686 % Kappa statistic 0.7192 Mean absolute error 0.1141 Root mean squared error 0.2225 Relative absolute error 46.5907 % Root relative squared error 63.5875 % Total Number of Instances 6710 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.809 0.039 0.774 0.809 0.791 0.97 chest 0.762 0.044 0.743 0.762 0.753 0.961 forearm 0.683 0.044 0.721 0.683 0.702 0.944 head 0.815 0.02 0.87 0.815 0.842 0.977 shin 0.764 0.036 0.78 0.764 0.772 0.961 thigh 0.704 0.044 0.727 0.704 0.715 0.946 upperarm 0.778 0.053 0.709 0.778 0.742 0.962 waist Weighted Avg. 0.759 0.04 0.761 0.759 0.759 0.96 === Confusion Matrix === a b c d e f g <-- classified as 776 24 31 6 28 54 40 | a = chest 40 727 42 8 21 36 80 | b = forearm 49 58 655 22 27 71 77 | c = head 10 20 30 782 56 30 31 | d = shin 49 29 38 34 733 37 40 | e = thigh 48 51 80 28 38 675 39 | f = upperarm 30 69 32 19 37 26 747 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 5109 76.1401 % Incorrectly Classified Instances 1601 23.8599 % Kappa statistic 0.7216 Mean absolute error 0.1126 Root mean squared error 0.2212 Relative absolute error 45.975 % Root relative squared error 63.2067 % Total Number of Instances 6710 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.809 0.041 0.766 0.809 0.787 0.971 chest 0.758 0.041 0.755 0.758 0.757 0.962 forearm 0.706 0.049 0.707 0.706 0.706 0.94 head 0.82 0.022 0.859 0.82 0.839 0.978 shin 0.75 0.032 0.798 0.75 0.773 0.968 thigh 0.694 0.044 0.723 0.694 0.709 0.945 upperarm 0.793 0.049 0.729 0.793 0.759 0.965 waist Weighted Avg. 0.761 0.04 0.763 0.761 0.761 0.961 === Confusion Matrix === a b c d e f g <-- classified as 776 37 25 7 28 50 36 | a = chest 39 723 58 5 20 36 73 | b = forearm 43 36 677 27 35 67 74 | c = head 12 19 42 786 40 33 27 | d = shin 57 35 29 46 720 37 36 | e = thigh 54 49 103 20 30 666 37 | f = upperarm 32 58 24 24 29 32 761 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 5095 75.9428 % Incorrectly Classified Instances 1614 24.0572 % Kappa statistic 0.7193 Mean absolute error 0.1147 Root mean squared error 0.2236 Relative absolute error 46.8175 % Root relative squared error 63.8895 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.819 0.046 0.748 0.819 0.782 0.969 chest 0.786 0.037 0.78 0.786 0.783 0.969 forearm 0.687 0.047 0.708 0.687 0.697 0.934 head 0.814 0.023 0.855 0.814 0.834 0.976 shin 0.768 0.036 0.782 0.768 0.775 0.964 thigh 0.664 0.043 0.72 0.664 0.691 0.942 upperarm 0.778 0.049 0.727 0.778 0.752 0.964 waist Weighted Avg. 0.759 0.04 0.76 0.759 0.759 0.96 === Confusion Matrix === a b c d e f g <-- classified as 786 30 24 5 30 38 47 | a = chest 40 749 48 7 26 30 53 | b = forearm 40 42 659 31 35 81 71 | c = head 12 13 35 781 49 24 45 | d = shin 63 19 28 47 737 40 26 | e = thigh 68 49 96 24 47 637 38 | f = upperarm 42 58 41 18 19 35 746 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 5110 76.1663 % Incorrectly Classified Instances 1599 23.8337 % Kappa statistic 0.7219 Mean absolute error 0.1127 Root mean squared error 0.222 Relative absolute error 46.0214 % Root relative squared error 63.4405 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.784 0.039 0.772 0.784 0.778 0.967 chest 0.748 0.038 0.765 0.748 0.756 0.958 forearm 0.7 0.049 0.704 0.7 0.702 0.939 head 0.859 0.021 0.872 0.859 0.866 0.982 shin 0.769 0.031 0.805 0.769 0.786 0.972 thigh 0.7 0.049 0.703 0.7 0.701 0.944 upperarm 0.772 0.051 0.718 0.772 0.744 0.961 waist Weighted Avg. 0.762 0.04 0.763 0.762 0.762 0.96 === Confusion Matrix === a b c d e f g <-- classified as 753 28 22 6 43 65 43 | a = chest 31 713 59 4 32 32 82 | b = forearm 50 34 671 27 27 83 67 | c = head 8 10 27 824 29 32 29 | d = shin 54 31 31 33 738 44 29 | e = thigh 50 50 99 29 19 671 41 | f = upperarm 30 66 44 22 29 28 740 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 5160 76.9116 % Incorrectly Classified Instances 1549 23.0884 % Kappa statistic 0.7306 Mean absolute error 0.1119 Root mean squared error 0.2201 Relative absolute error 45.6795 % Root relative squared error 62.8977 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.807 0.038 0.781 0.807 0.794 0.971 chest 0.781 0.042 0.753 0.781 0.767 0.964 forearm 0.699 0.045 0.721 0.699 0.71 0.944 head 0.822 0.022 0.863 0.822 0.842 0.981 shin 0.801 0.034 0.799 0.801 0.8 0.972 thigh 0.691 0.041 0.736 0.691 0.713 0.949 upperarm 0.783 0.047 0.734 0.783 0.758 0.965 waist Weighted Avg. 0.769 0.038 0.77 0.769 0.769 0.964 === Confusion Matrix === a b c d e f g <-- classified as 775 29 24 8 31 56 37 | a = chest 31 744 45 6 23 34 70 | b = forearm 39 60 670 22 32 74 62 | c = head 5 15 40 788 54 25 32 | d = shin 47 25 25 33 769 26 35 | e = thigh 61 50 100 26 23 663 36 | f = upperarm 34 65 25 30 31 23 751 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 5117 76.2707 % Incorrectly Classified Instances 1592 23.7293 % Kappa statistic 0.7232 Mean absolute error 0.1138 Root mean squared error 0.2224 Relative absolute error 46.4521 % Root relative squared error 63.5662 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.815 0.044 0.755 0.815 0.784 0.97 chest 0.775 0.039 0.765 0.775 0.77 0.963 forearm 0.696 0.048 0.708 0.696 0.702 0.939 head 0.81 0.02 0.873 0.81 0.84 0.979 shin 0.751 0.038 0.769 0.751 0.76 0.964 thigh 0.699 0.04 0.744 0.699 0.72 0.946 upperarm 0.794 0.048 0.735 0.794 0.763 0.965 waist Weighted Avg. 0.763 0.04 0.764 0.763 0.763 0.961 === Confusion Matrix === a b c d e f g <-- classified as 782 27 21 7 39 47 37 | a = chest 44 739 53 7 27 23 60 | b = forearm 44 60 667 19 44 64 61 | c = head 11 9 44 777 48 37 33 | d = shin 55 30 33 40 721 39 42 | e = thigh 55 49 90 20 33 670 42 | f = upperarm 45 52 34 20 26 21 761 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 5175 77.1352 % Incorrectly Classified Instances 1534 22.8648 % Kappa statistic 0.7332 Mean absolute error 0.1105 Root mean squared error 0.2182 Relative absolute error 45.1397 % Root relative squared error 62.3497 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.808 0.039 0.774 0.808 0.791 0.971 chest 0.782 0.039 0.769 0.782 0.775 0.97 forearm 0.706 0.043 0.733 0.706 0.719 0.943 head 0.836 0.02 0.873 0.836 0.854 0.982 shin 0.768 0.034 0.79 0.768 0.779 0.966 thigh 0.689 0.042 0.734 0.689 0.711 0.946 upperarm 0.81 0.049 0.733 0.81 0.77 0.967 waist Weighted Avg. 0.771 0.038 0.772 0.771 0.771 0.963 === Confusion Matrix === a b c d e f g <-- classified as 776 36 21 4 43 43 37 | a = chest 21 745 52 9 26 35 65 | b = forearm 44 33 677 29 38 68 70 | c = head 7 14 35 802 32 38 31 | d = shin 61 28 30 32 737 31 41 | e = thigh 53 60 89 25 32 661 39 | f = upperarm 41 53 20 18 25 25 777 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 5087 75.8235 % Incorrectly Classified Instances 1622 24.1765 % Kappa statistic 0.7179 Mean absolute error 0.1137 Root mean squared error 0.2228 Relative absolute error 46.4233 % Root relative squared error 63.6595 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.786 0.038 0.777 0.786 0.781 0.969 chest 0.758 0.041 0.754 0.758 0.756 0.96 forearm 0.702 0.048 0.708 0.702 0.705 0.939 head 0.823 0.025 0.846 0.823 0.834 0.978 shin 0.765 0.04 0.76 0.765 0.763 0.962 thigh 0.68 0.044 0.719 0.68 0.699 0.943 upperarm 0.794 0.045 0.745 0.794 0.769 0.965 waist Weighted Avg. 0.758 0.04 0.758 0.758 0.758 0.959 === Confusion Matrix === a b c d e f g <-- classified as 754 35 31 13 45 46 35 | a = chest 40 722 48 10 34 40 59 | b = forearm 36 52 673 20 47 72 59 | c = head 11 18 42 789 49 26 24 | d = shin 50 29 24 47 734 39 36 | e = thigh 47 51 97 37 27 653 48 | f = upperarm 33 51 35 17 30 32 762 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 5113 76.2111 % Incorrectly Classified Instances 1596 23.7889 % Kappa statistic 0.7225 Mean absolute error 0.1125 Root mean squared error 0.2208 Relative absolute error 45.9492 % Root relative squared error 63.0934 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.81 0.042 0.762 0.81 0.785 0.971 chest 0.754 0.037 0.771 0.754 0.762 0.963 forearm 0.706 0.044 0.727 0.706 0.716 0.945 head 0.82 0.025 0.847 0.82 0.833 0.979 shin 0.778 0.037 0.776 0.778 0.777 0.967 thigh 0.673 0.043 0.723 0.673 0.697 0.947 upperarm 0.794 0.049 0.731 0.794 0.761 0.966 waist Weighted Avg. 0.762 0.04 0.762 0.762 0.762 0.962 === Confusion Matrix === a b c d e f g <-- classified as 777 20 29 8 40 43 42 | a = chest 48 719 49 6 23 34 74 | b = forearm 47 38 677 28 35 65 69 | c = head 10 20 37 786 45 36 25 | d = shin 55 30 22 48 746 37 21 | e = thigh 53 52 90 31 39 646 49 | f = upperarm 30 54 27 21 33 33 762 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 6 FOLD: 0 Correctly Classified Instances 5123 76.3487 % Incorrectly Classified Instances 1587 23.6513 % Kappa statistic 0.7241 Mean absolute error 0.1136 Root mean squared error 0.223 Relative absolute error 46.3976 % Root relative squared error 63.738 % Total Number of Instances 6710 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.803 0.039 0.775 0.803 0.789 0.969 chest 0.757 0.038 0.766 0.757 0.761 0.962 forearm 0.687 0.044 0.723 0.687 0.705 0.94 head 0.833 0.025 0.85 0.833 0.841 0.979 shin 0.755 0.038 0.767 0.755 0.761 0.961 thigh 0.722 0.042 0.74 0.722 0.731 0.95 upperarm 0.788 0.05 0.725 0.788 0.755 0.963 waist Weighted Avg. 0.763 0.039 0.764 0.763 0.763 0.96 === Confusion Matrix === a b c d e f g <-- classified as 770 29 26 11 40 49 34 | a = chest 38 721 47 8 27 36 76 | b = forearm 44 39 659 29 45 68 75 | c = head 8 21 41 799 39 22 29 | d = shin 52 33 32 45 725 34 39 | e = thigh 50 44 77 27 35 693 34 | f = upperarm 32 54 29 21 34 34 756 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 5171 77.0641 % Incorrectly Classified Instances 1539 22.9359 % Kappa statistic 0.7324 Mean absolute error 0.1129 Root mean squared error 0.2212 Relative absolute error 46.1129 % Root relative squared error 63.2055 % Total Number of Instances 6710 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.826 0.041 0.77 0.826 0.797 0.973 chest 0.769 0.039 0.766 0.769 0.768 0.961 forearm 0.714 0.048 0.712 0.714 0.713 0.941 head 0.839 0.02 0.875 0.839 0.857 0.979 shin 0.752 0.033 0.79 0.752 0.771 0.963 thigh 0.688 0.038 0.753 0.688 0.719 0.946 upperarm 0.806 0.048 0.736 0.806 0.769 0.966 waist Weighted Avg. 0.771 0.038 0.772 0.771 0.77 0.961 === Confusion Matrix === a b c d e f g <-- classified as 792 27 14 4 43 49 30 | a = chest 36 733 57 10 26 24 67 | b = forearm 46 44 685 20 34 67 63 | c = head 19 10 44 805 32 26 23 | d = shin 47 33 29 44 722 35 50 | e = thigh 47 56 99 19 34 660 45 | f = upperarm 41 54 34 18 23 16 774 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 5208 77.6155 % Incorrectly Classified Instances 1502 22.3845 % Kappa statistic 0.7388 Mean absolute error 0.1117 Root mean squared error 0.2188 Relative absolute error 45.6264 % Root relative squared error 62.5264 % Total Number of Instances 6710 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.815 0.037 0.788 0.815 0.801 0.974 chest 0.79 0.041 0.762 0.79 0.776 0.967 forearm 0.728 0.047 0.72 0.728 0.724 0.943 head 0.843 0.021 0.87 0.843 0.856 0.98 shin 0.789 0.032 0.803 0.789 0.796 0.969 thigh 0.69 0.036 0.76 0.69 0.723 0.949 upperarm 0.779 0.047 0.736 0.779 0.757 0.963 waist Weighted Avg. 0.776 0.037 0.777 0.776 0.776 0.964 === Confusion Matrix === a b c d e f g <-- classified as 782 41 29 8 26 37 36 | a = chest 41 753 40 5 18 34 62 | b = forearm 38 47 698 16 35 53 72 | c = head 8 16 34 808 38 26 29 | d = shin 41 27 32 38 757 31 34 | e = thigh 56 36 109 28 34 662 35 | f = upperarm 27 68 28 26 35 28 748 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 5188 77.329 % Incorrectly Classified Instances 1521 22.671 % Kappa statistic 0.7355 Mean absolute error 0.1103 Root mean squared error 0.2177 Relative absolute error 45.0373 % Root relative squared error 62.215 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.82 0.038 0.782 0.82 0.8 0.971 chest 0.753 0.038 0.766 0.753 0.76 0.962 forearm 0.709 0.043 0.733 0.709 0.721 0.941 head 0.815 0.021 0.865 0.815 0.84 0.979 shin 0.767 0.032 0.8 0.767 0.783 0.968 thigh 0.734 0.047 0.723 0.734 0.728 0.952 upperarm 0.815 0.045 0.751 0.815 0.782 0.97 waist Weighted Avg. 0.773 0.038 0.774 0.773 0.773 0.963 === Confusion Matrix === a b c d e f g <-- classified as 786 24 22 9 32 49 37 | a = chest 39 718 59 8 29 37 63 | b = forearm 50 48 680 22 26 61 72 | c = head 14 15 45 782 34 39 30 | d = shin 50 29 27 44 736 50 24 | e = thigh 39 44 76 29 34 704 33 | f = upperarm 27 59 19 10 29 34 782 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 5135 76.539 % Incorrectly Classified Instances 1574 23.461 % Kappa statistic 0.7263 Mean absolute error 0.1119 Root mean squared error 0.2204 Relative absolute error 45.6838 % Root relative squared error 62.9896 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.807 0.038 0.779 0.807 0.793 0.974 chest 0.787 0.038 0.774 0.787 0.78 0.967 forearm 0.683 0.046 0.711 0.683 0.697 0.942 head 0.824 0.026 0.842 0.824 0.833 0.976 shin 0.786 0.036 0.786 0.786 0.786 0.966 thigh 0.676 0.046 0.712 0.676 0.693 0.94 upperarm 0.795 0.044 0.75 0.795 0.772 0.966 waist Weighted Avg. 0.765 0.039 0.765 0.765 0.765 0.962 === Confusion Matrix === a b c d e f g <-- classified as 774 25 30 11 36 52 31 | a = chest 31 750 43 3 22 35 69 | b = forearm 44 52 655 33 36 81 58 | c = head 11 14 37 790 51 29 27 | d = shin 53 18 33 42 755 34 25 | e = thigh 50 60 88 34 35 648 44 | f = upperarm 30 50 35 25 26 31 763 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 5110 76.1663 % Incorrectly Classified Instances 1599 23.8337 % Kappa statistic 0.7219 Mean absolute error 0.113 Root mean squared error 0.2214 Relative absolute error 46.1398 % Root relative squared error 63.2576 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.788 0.041 0.764 0.788 0.775 0.968 chest 0.779 0.043 0.749 0.779 0.763 0.965 forearm 0.701 0.05 0.7 0.701 0.7 0.941 head 0.829 0.022 0.861 0.829 0.845 0.98 shin 0.776 0.033 0.796 0.776 0.786 0.968 thigh 0.675 0.042 0.727 0.675 0.7 0.943 upperarm 0.785 0.046 0.739 0.785 0.761 0.967 waist Weighted Avg. 0.762 0.04 0.762 0.762 0.762 0.962 === Confusion Matrix === a b c d e f g <-- classified as 756 29 32 8 41 51 43 | a = chest 31 742 49 7 25 35 64 | b = forearm 50 50 672 28 26 77 56 | c = head 13 13 34 795 34 36 34 | d = shin 54 32 36 34 745 24 35 | e = thigh 47 67 104 27 33 647 34 | f = upperarm 39 58 33 24 32 20 753 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 5114 76.226 % Incorrectly Classified Instances 1595 23.774 % Kappa statistic 0.7226 Mean absolute error 0.1127 Root mean squared error 0.221 Relative absolute error 45.9991 % Root relative squared error 63.1514 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.8 0.038 0.777 0.8 0.789 0.969 chest 0.764 0.042 0.752 0.764 0.758 0.964 forearm 0.683 0.046 0.71 0.683 0.696 0.939 head 0.819 0.019 0.875 0.819 0.846 0.981 shin 0.784 0.034 0.795 0.784 0.79 0.968 thigh 0.687 0.049 0.701 0.687 0.694 0.943 upperarm 0.799 0.049 0.732 0.799 0.764 0.965 waist Weighted Avg. 0.762 0.04 0.763 0.762 0.762 0.961 === Confusion Matrix === a b c d e f g <-- classified as 768 27 28 7 32 57 41 | a = chest 42 728 45 8 26 40 64 | b = forearm 46 49 655 14 36 90 69 | c = head 7 18 36 785 53 31 29 | d = shin 53 33 27 29 753 37 28 | e = thigh 41 53 101 30 25 659 50 | f = upperarm 31 60 30 24 22 26 766 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 5130 76.4645 % Incorrectly Classified Instances 1579 23.5355 % Kappa statistic 0.7254 Mean absolute error 0.1132 Root mean squared error 0.2215 Relative absolute error 46.2118 % Root relative squared error 63.3097 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.801 0.038 0.778 0.801 0.79 0.969 chest 0.775 0.043 0.749 0.775 0.762 0.964 forearm 0.683 0.043 0.724 0.683 0.703 0.94 head 0.844 0.023 0.86 0.844 0.852 0.982 shin 0.752 0.036 0.776 0.752 0.764 0.96 thigh 0.684 0.036 0.759 0.684 0.72 0.947 upperarm 0.813 0.054 0.714 0.813 0.76 0.966 waist Weighted Avg. 0.765 0.039 0.766 0.765 0.764 0.961 === Confusion Matrix === a b c d e f g <-- classified as 769 26 23 5 41 45 51 | a = chest 39 739 52 4 25 25 69 | b = forearm 51 53 655 31 34 59 76 | c = head 7 19 25 809 52 21 26 | d = shin 47 26 32 50 722 34 49 | e = thigh 46 66 94 25 30 656 42 | f = upperarm 29 58 24 17 27 24 780 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 5056 75.3615 % Incorrectly Classified Instances 1653 24.6385 % Kappa statistic 0.7125 Mean absolute error 0.1138 Root mean squared error 0.2231 Relative absolute error 46.4785 % Root relative squared error 63.7603 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.814 0.044 0.755 0.814 0.783 0.969 chest 0.764 0.041 0.755 0.764 0.76 0.963 forearm 0.698 0.049 0.705 0.698 0.701 0.945 head 0.814 0.022 0.863 0.814 0.838 0.977 shin 0.741 0.034 0.784 0.741 0.762 0.965 thigh 0.688 0.046 0.714 0.688 0.701 0.946 upperarm 0.756 0.052 0.708 0.756 0.731 0.961 waist Weighted Avg. 0.754 0.041 0.755 0.754 0.754 0.961 === Confusion Matrix === a b c d e f g <-- classified as 781 34 31 6 23 41 44 | a = chest 41 729 57 6 23 32 66 | b = forearm 38 40 669 21 34 83 74 | c = head 8 21 41 781 54 34 20 | d = shin 60 28 28 45 711 37 50 | e = thigh 69 48 84 25 28 660 45 | f = upperarm 38 65 39 21 34 37 725 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 5117 76.2707 % Incorrectly Classified Instances 1592 23.7293 % Kappa statistic 0.7232 Mean absolute error 0.1137 Root mean squared error 0.2225 Relative absolute error 46.4356 % Root relative squared error 63.5781 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.813 0.04 0.774 0.813 0.793 0.972 chest 0.746 0.035 0.78 0.746 0.763 0.961 forearm 0.711 0.046 0.719 0.711 0.715 0.944 head 0.831 0.023 0.858 0.831 0.844 0.978 shin 0.784 0.037 0.779 0.784 0.782 0.97 thigh 0.67 0.045 0.713 0.67 0.691 0.941 upperarm 0.783 0.051 0.719 0.783 0.75 0.961 waist Weighted Avg. 0.763 0.04 0.763 0.763 0.763 0.961 === Confusion Matrix === a b c d e f g <-- classified as 780 21 24 5 33 53 44 | a = chest 35 712 59 3 36 35 74 | b = forearm 33 49 682 28 34 69 64 | c = head 5 14 31 797 39 33 40 | d = shin 52 31 20 36 752 40 28 | e = thigh 62 49 98 26 38 643 43 | f = upperarm 41 37 34 34 33 29 751 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 7 FOLD: 0 Correctly Classified Instances 5107 76.1103 % Incorrectly Classified Instances 1603 23.8897 % Kappa statistic 0.7213 Mean absolute error 0.1118 Root mean squared error 0.2205 Relative absolute error 45.648 % Root relative squared error 63.0021 % Total Number of Instances 6710 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.817 0.043 0.762 0.817 0.788 0.973 chest 0.794 0.046 0.743 0.794 0.767 0.962 forearm 0.687 0.044 0.722 0.687 0.704 0.943 head 0.825 0.021 0.868 0.825 0.846 0.979 shin 0.758 0.037 0.773 0.758 0.766 0.965 thigh 0.663 0.036 0.754 0.663 0.705 0.946 upperarm 0.784 0.052 0.715 0.784 0.748 0.963 waist Weighted Avg. 0.761 0.04 0.762 0.761 0.761 0.962 === Confusion Matrix === a b c d e f g <-- classified as 784 33 18 7 42 37 39 | a = chest 35 757 45 6 21 22 68 | b = forearm 51 50 659 24 40 63 72 | c = head 13 19 32 791 42 23 39 | d = shin 59 33 23 30 728 47 40 | e = thigh 51 60 101 33 36 636 42 | f = upperarm 36 67 35 20 33 16 752 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 5141 76.617 % Incorrectly Classified Instances 1569 23.383 % Kappa statistic 0.7272 Mean absolute error 0.1125 Root mean squared error 0.2203 Relative absolute error 45.941 % Root relative squared error 62.9678 % Total Number of Instances 6710 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.78 0.035 0.788 0.78 0.784 0.968 chest 0.764 0.042 0.752 0.764 0.758 0.965 forearm 0.717 0.048 0.714 0.717 0.716 0.944 head 0.84 0.025 0.848 0.84 0.844 0.981 shin 0.775 0.034 0.791 0.775 0.783 0.968 thigh 0.687 0.039 0.746 0.687 0.716 0.944 upperarm 0.799 0.05 0.728 0.799 0.762 0.964 waist Weighted Avg. 0.766 0.039 0.767 0.766 0.766 0.962 === Confusion Matrix === a b c d e f g <-- classified as 749 37 29 11 39 46 49 | a = chest 33 729 50 4 34 29 75 | b = forearm 38 45 688 31 27 64 66 | c = head 5 17 43 806 29 29 30 | d = shin 57 24 27 45 744 32 31 | e = thigh 42 68 92 30 33 659 35 | f = upperarm 27 50 35 23 34 24 766 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 5126 76.3934 % Incorrectly Classified Instances 1584 23.6066 % Kappa statistic 0.7246 Mean absolute error 0.1127 Root mean squared error 0.2213 Relative absolute error 46.0194 % Root relative squared error 63.2431 % Total Number of Instances 6710 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.805 0.038 0.782 0.805 0.793 0.969 chest 0.778 0.045 0.74 0.778 0.758 0.962 forearm 0.68 0.043 0.726 0.68 0.702 0.936 head 0.847 0.02 0.875 0.847 0.861 0.979 shin 0.749 0.033 0.79 0.749 0.769 0.964 thigh 0.702 0.045 0.723 0.702 0.712 0.948 upperarm 0.787 0.052 0.718 0.787 0.751 0.967 waist Weighted Avg. 0.764 0.039 0.765 0.764 0.764 0.961 === Confusion Matrix === a b c d e f g <-- classified as 773 31 23 8 37 51 37 | a = chest 38 741 45 4 19 35 71 | b = forearm 36 47 652 25 34 76 89 | c = head 6 15 36 812 32 30 28 | d = shin 55 40 35 46 719 41 24 | e = thigh 45 61 83 19 30 674 48 | f = upperarm 36 66 24 14 39 25 755 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 5125 76.3899 % Incorrectly Classified Instances 1584 23.6101 % Kappa statistic 0.7245 Mean absolute error 0.1139 Root mean squared error 0.2233 Relative absolute error 46.529 % Root relative squared error 63.8027 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.811 0.043 0.761 0.811 0.785 0.972 chest 0.781 0.039 0.766 0.781 0.773 0.967 forearm 0.692 0.044 0.725 0.692 0.708 0.941 head 0.805 0.019 0.876 0.805 0.839 0.978 shin 0.754 0.037 0.775 0.754 0.764 0.962 thigh 0.703 0.045 0.725 0.703 0.714 0.944 upperarm 0.801 0.05 0.729 0.801 0.763 0.966 waist Weighted Avg. 0.764 0.039 0.765 0.764 0.764 0.961 === Confusion Matrix === a b c d e f g <-- classified as 779 31 25 4 40 44 37 | a = chest 42 744 44 9 15 29 70 | b = forearm 46 45 664 20 34 79 71 | c = head 10 16 33 772 64 36 28 | d = shin 66 25 21 39 723 46 39 | e = thigh 45 48 97 21 34 675 40 | f = upperarm 36 62 32 16 23 22 768 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 5110 76.1663 % Incorrectly Classified Instances 1599 23.8337 % Kappa statistic 0.7219 Mean absolute error 0.1126 Root mean squared error 0.2211 Relative absolute error 45.9777 % Root relative squared error 63.1708 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.803 0.042 0.763 0.803 0.782 0.972 chest 0.742 0.041 0.751 0.742 0.747 0.959 forearm 0.723 0.048 0.714 0.723 0.719 0.942 head 0.836 0.022 0.861 0.836 0.849 0.98 shin 0.755 0.035 0.784 0.755 0.769 0.963 thigh 0.693 0.047 0.709 0.693 0.701 0.945 upperarm 0.78 0.043 0.752 0.78 0.766 0.966 waist Weighted Avg. 0.762 0.04 0.762 0.762 0.762 0.961 === Confusion Matrix === a b c d e f g <-- classified as 771 26 21 5 39 60 38 | a = chest 36 707 54 13 37 42 64 | b = forearm 48 46 693 32 26 61 53 | c = head 9 19 39 802 38 33 19 | d = shin 53 37 38 32 724 38 37 | e = thigh 62 49 88 29 31 665 36 | f = upperarm 32 57 37 18 28 39 748 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 5161 76.9265 % Incorrectly Classified Instances 1548 23.0735 % Kappa statistic 0.7308 Mean absolute error 0.1113 Root mean squared error 0.2194 Relative absolute error 45.4613 % Root relative squared error 62.6905 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.823 0.043 0.762 0.823 0.791 0.974 chest 0.781 0.037 0.778 0.781 0.779 0.965 forearm 0.715 0.044 0.73 0.715 0.722 0.946 head 0.819 0.021 0.869 0.819 0.843 0.978 shin 0.771 0.034 0.791 0.771 0.781 0.968 thigh 0.685 0.041 0.736 0.685 0.71 0.947 upperarm 0.792 0.05 0.727 0.792 0.758 0.966 waist Weighted Avg. 0.769 0.038 0.77 0.769 0.769 0.964 === Confusion Matrix === a b c d e f g <-- classified as 789 25 22 7 43 40 33 | a = chest 29 744 54 1 22 35 68 | b = forearm 44 43 686 19 33 69 65 | c = head 15 10 37 785 39 31 42 | d = shin 50 31 33 42 740 34 30 | e = thigh 71 42 87 24 30 657 48 | f = upperarm 38 61 21 25 28 27 760 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 5112 76.1962 % Incorrectly Classified Instances 1597 23.8038 % Kappa statistic 0.7223 Mean absolute error 0.1132 Root mean squared error 0.222 Relative absolute error 46.2247 % Root relative squared error 63.451 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.803 0.037 0.782 0.803 0.792 0.969 chest 0.781 0.035 0.788 0.781 0.784 0.967 forearm 0.666 0.052 0.681 0.666 0.673 0.93 head 0.821 0.024 0.849 0.821 0.835 0.977 shin 0.761 0.037 0.776 0.761 0.769 0.966 thigh 0.698 0.049 0.705 0.698 0.701 0.941 upperarm 0.804 0.044 0.755 0.804 0.779 0.967 waist Weighted Avg. 0.762 0.04 0.762 0.762 0.762 0.96 === Confusion Matrix === a b c d e f g <-- classified as 770 19 34 10 34 62 30 | a = chest 28 744 69 8 25 32 47 | b = forearm 44 53 639 23 45 87 68 | c = head 7 13 40 787 51 35 26 | d = shin 52 25 33 44 731 33 42 | e = thigh 58 48 94 26 26 669 38 | f = upperarm 26 42 30 29 30 31 772 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 5093 75.913 % Incorrectly Classified Instances 1616 24.087 % Kappa statistic 0.719 Mean absolute error 0.1135 Root mean squared error 0.2223 Relative absolute error 46.364 % Root relative squared error 63.5259 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.799 0.041 0.764 0.799 0.781 0.97 chest 0.747 0.037 0.768 0.747 0.757 0.963 forearm 0.701 0.048 0.71 0.701 0.705 0.938 head 0.838 0.022 0.864 0.838 0.851 0.981 shin 0.753 0.038 0.767 0.753 0.76 0.966 thigh 0.699 0.042 0.735 0.699 0.717 0.947 upperarm 0.777 0.053 0.712 0.777 0.743 0.962 waist Weighted Avg. 0.759 0.04 0.76 0.759 0.759 0.961 === Confusion Matrix === a b c d e f g <-- classified as 766 21 30 6 41 52 43 | a = chest 40 712 53 7 30 30 81 | b = forearm 52 49 672 23 36 64 63 | c = head 7 11 38 804 38 25 36 | d = shin 47 40 25 44 723 42 39 | e = thigh 53 47 92 18 39 670 40 | f = upperarm 37 47 37 29 36 28 746 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 5131 76.4794 % Incorrectly Classified Instances 1578 23.5206 % Kappa statistic 0.7256 Mean absolute error 0.1126 Root mean squared error 0.2207 Relative absolute error 45.9591 % Root relative squared error 63.0684 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.792 0.035 0.789 0.792 0.791 0.971 chest 0.765 0.035 0.782 0.765 0.773 0.964 forearm 0.701 0.046 0.719 0.701 0.71 0.946 head 0.82 0.024 0.852 0.82 0.836 0.975 shin 0.793 0.037 0.781 0.793 0.787 0.967 thigh 0.685 0.046 0.711 0.685 0.698 0.945 upperarm 0.798 0.051 0.723 0.798 0.759 0.964 waist Weighted Avg. 0.765 0.039 0.765 0.765 0.765 0.962 === Confusion Matrix === a b c d e f g <-- classified as 760 33 24 9 37 59 37 | a = chest 27 729 47 9 35 33 73 | b = forearm 27 32 672 26 36 86 80 | c = head 16 18 33 786 47 28 31 | d = shin 40 19 36 35 761 36 33 | e = thigh 52 51 100 36 24 657 39 | f = upperarm 41 50 23 21 34 25 766 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 5103 76.062 % Incorrectly Classified Instances 1606 23.938 % Kappa statistic 0.7207 Mean absolute error 0.1137 Root mean squared error 0.2223 Relative absolute error 46.417 % Root relative squared error 63.5273 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.803 0.04 0.769 0.803 0.786 0.971 chest 0.749 0.041 0.753 0.749 0.751 0.962 forearm 0.728 0.05 0.709 0.728 0.718 0.945 head 0.82 0.022 0.863 0.82 0.841 0.979 shin 0.764 0.034 0.789 0.764 0.776 0.967 thigh 0.687 0.048 0.706 0.687 0.696 0.944 upperarm 0.774 0.045 0.742 0.774 0.757 0.962 waist Weighted Avg. 0.761 0.04 0.762 0.761 0.761 0.962 === Confusion Matrix === a b c d e f g <-- classified as 770 22 29 7 37 60 34 | a = chest 45 714 53 11 28 39 63 | b = forearm 37 48 698 20 38 64 54 | c = head 8 26 49 786 33 30 27 | d = shin 59 25 28 38 733 37 40 | e = thigh 54 46 95 32 32 659 41 | f = upperarm 28 67 32 17 28 45 743 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 8 FOLD: 0 Correctly Classified Instances 5137 76.5574 % Incorrectly Classified Instances 1573 23.4426 % Kappa statistic 0.7265 Mean absolute error 0.1131 Root mean squared error 0.2214 Relative absolute error 46.1693 % Root relative squared error 63.2609 % Total Number of Instances 6710 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.819 0.04 0.775 0.819 0.796 0.971 chest 0.781 0.044 0.748 0.781 0.764 0.968 forearm 0.706 0.047 0.713 0.706 0.71 0.941 head 0.833 0.021 0.867 0.833 0.85 0.981 shin 0.76 0.035 0.786 0.76 0.773 0.966 thigh 0.688 0.044 0.724 0.688 0.705 0.943 upperarm 0.773 0.043 0.749 0.773 0.761 0.966 waist Weighted Avg. 0.766 0.039 0.766 0.766 0.765 0.962 === Confusion Matrix === a b c d e f g <-- classified as 785 22 23 4 43 50 32 | a = chest 33 744 57 6 19 35 59 | b = forearm 52 46 677 19 37 65 63 | c = head 12 17 35 799 41 27 28 | d = shin 50 24 30 46 730 45 35 | e = thigh 45 62 101 33 28 660 31 | f = upperarm 36 80 26 15 31 30 742 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 5150 76.7511 % Incorrectly Classified Instances 1560 23.2489 % Kappa statistic 0.7288 Mean absolute error 0.112 Root mean squared error 0.2202 Relative absolute error 45.7504 % Root relative squared error 62.9268 % Total Number of Instances 6710 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.819 0.037 0.789 0.819 0.803 0.975 chest 0.773 0.041 0.757 0.773 0.765 0.962 forearm 0.722 0.046 0.722 0.722 0.722 0.948 head 0.797 0.023 0.85 0.797 0.822 0.978 shin 0.793 0.036 0.788 0.793 0.79 0.97 thigh 0.694 0.042 0.732 0.694 0.712 0.945 upperarm 0.776 0.046 0.74 0.776 0.757 0.963 waist Weighted Avg. 0.768 0.039 0.768 0.768 0.767 0.963 === Confusion Matrix === a b c d e f g <-- classified as 785 29 29 6 33 40 37 | a = chest 37 737 45 9 25 26 74 | b = forearm 31 61 692 25 27 70 53 | c = head 10 21 48 764 47 37 32 | d = shin 52 25 23 47 761 28 24 | e = thigh 48 45 94 25 40 666 42 | f = upperarm 32 56 28 23 33 43 745 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 5088 75.8271 % Incorrectly Classified Instances 1622 24.1729 % Kappa statistic 0.718 Mean absolute error 0.1137 Root mean squared error 0.2229 Relative absolute error 46.4362 % Root relative squared error 63.7115 % Total Number of Instances 6710 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.801 0.045 0.75 0.801 0.775 0.969 chest 0.773 0.045 0.74 0.773 0.756 0.961 forearm 0.673 0.047 0.706 0.673 0.689 0.933 head 0.831 0.019 0.878 0.831 0.854 0.978 shin 0.745 0.034 0.785 0.745 0.764 0.964 thigh 0.7 0.043 0.73 0.7 0.715 0.946 upperarm 0.785 0.049 0.728 0.785 0.756 0.964 waist Weighted Avg. 0.758 0.04 0.759 0.758 0.758 0.959 === Confusion Matrix === a b c d e f g <-- classified as 768 33 25 4 41 53 35 | a = chest 43 737 48 6 17 27 75 | b = forearm 52 57 645 25 45 64 71 | c = head 5 14 38 797 38 33 34 | d = shin 64 39 29 35 715 44 34 | e = thigh 55 49 100 20 31 672 33 | f = upperarm 37 67 29 21 24 28 754 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 5126 76.4048 % Incorrectly Classified Instances 1583 23.5952 % Kappa statistic 0.7247 Mean absolute error 0.1118 Root mean squared error 0.2201 Relative absolute error 45.6609 % Root relative squared error 62.9129 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.817 0.038 0.782 0.817 0.799 0.973 chest 0.749 0.041 0.75 0.749 0.75 0.958 forearm 0.7 0.05 0.7 0.7 0.7 0.941 head 0.823 0.022 0.864 0.823 0.843 0.981 shin 0.792 0.036 0.784 0.792 0.788 0.968 thigh 0.668 0.038 0.745 0.668 0.705 0.946 upperarm 0.799 0.05 0.728 0.799 0.762 0.97 waist Weighted Avg. 0.764 0.039 0.765 0.764 0.764 0.962 === Confusion Matrix === a b c d e f g <-- classified as 784 30 25 8 27 48 38 | a = chest 31 714 53 11 30 36 78 | b = forearm 47 55 671 23 40 56 67 | c = head 9 18 34 789 54 31 24 | d = shin 41 20 30 38 760 30 40 | e = thigh 55 49 115 27 32 641 40 | f = upperarm 35 66 31 17 26 18 767 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 5103 76.062 % Incorrectly Classified Instances 1606 23.938 % Kappa statistic 0.7207 Mean absolute error 0.1129 Root mean squared error 0.2214 Relative absolute error 46.088 % Root relative squared error 63.2714 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.803 0.045 0.751 0.803 0.776 0.971 chest 0.778 0.037 0.775 0.778 0.776 0.966 forearm 0.681 0.047 0.707 0.681 0.694 0.937 head 0.814 0.022 0.86 0.814 0.837 0.977 shin 0.773 0.034 0.793 0.773 0.783 0.967 thigh 0.673 0.047 0.703 0.673 0.688 0.943 upperarm 0.803 0.047 0.739 0.803 0.769 0.967 waist Weighted Avg. 0.761 0.04 0.761 0.761 0.76 0.961 === Confusion Matrix === a b c d e f g <-- classified as 771 25 25 9 29 61 40 | a = chest 41 741 50 2 18 38 63 | b = forearm 39 45 653 31 38 75 78 | c = head 19 13 36 781 47 35 28 | d = shin 59 33 30 32 741 34 30 | e = thigh 62 45 98 37 38 645 34 | f = upperarm 36 54 31 16 23 29 771 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 5168 77.0309 % Incorrectly Classified Instances 1541 22.9691 % Kappa statistic 0.732 Mean absolute error 0.1107 Root mean squared error 0.2184 Relative absolute error 45.2209 % Root relative squared error 62.4099 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.808 0.04 0.773 0.808 0.79 0.971 chest 0.765 0.038 0.771 0.765 0.768 0.967 forearm 0.722 0.045 0.728 0.722 0.725 0.947 head 0.838 0.023 0.861 0.838 0.849 0.98 shin 0.777 0.031 0.808 0.777 0.792 0.968 thigh 0.698 0.04 0.745 0.698 0.721 0.948 upperarm 0.784 0.052 0.714 0.784 0.748 0.965 waist Weighted Avg. 0.77 0.038 0.771 0.77 0.77 0.964 === Confusion Matrix === a b c d e f g <-- classified as 776 28 32 9 30 46 39 | a = chest 37 729 52 15 25 28 67 | b = forearm 42 32 692 21 27 72 73 | c = head 9 18 38 804 36 24 30 | d = shin 52 27 26 39 746 28 42 | e = thigh 54 53 87 22 24 669 50 | f = upperarm 34 59 24 24 35 31 752 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 5039 75.1081 % Incorrectly Classified Instances 1670 24.8919 % Kappa statistic 0.7096 Mean absolute error 0.1134 Root mean squared error 0.223 Relative absolute error 46.2937 % Root relative squared error 63.7156 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.8 0.043 0.758 0.8 0.779 0.969 chest 0.752 0.042 0.746 0.752 0.749 0.963 forearm 0.668 0.047 0.701 0.668 0.684 0.94 head 0.83 0.023 0.857 0.83 0.843 0.978 shin 0.749 0.037 0.771 0.749 0.76 0.961 thigh 0.683 0.043 0.725 0.683 0.703 0.942 upperarm 0.775 0.054 0.704 0.775 0.738 0.96 waist Weighted Avg. 0.751 0.041 0.752 0.751 0.751 0.959 === Confusion Matrix === a b c d e f g <-- classified as 768 34 30 6 36 49 37 | a = chest 45 717 46 7 22 33 83 | b = forearm 45 43 641 29 40 74 87 | c = head 12 16 30 796 49 30 26 | d = shin 59 26 39 39 719 40 38 | e = thigh 47 68 88 29 31 655 41 | f = upperarm 37 57 40 23 36 23 743 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 5137 76.5688 % Incorrectly Classified Instances 1572 23.4312 % Kappa statistic 0.7266 Mean absolute error 0.1124 Root mean squared error 0.2207 Relative absolute error 45.9005 % Root relative squared error 63.0656 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.774 0.038 0.775 0.774 0.774 0.968 chest 0.761 0.035 0.782 0.761 0.771 0.965 forearm 0.703 0.045 0.722 0.703 0.712 0.942 head 0.828 0.021 0.868 0.828 0.847 0.979 shin 0.766 0.037 0.774 0.766 0.77 0.964 thigh 0.728 0.048 0.715 0.728 0.721 0.953 upperarm 0.801 0.049 0.731 0.801 0.765 0.965 waist Weighted Avg. 0.766 0.039 0.767 0.766 0.766 0.962 === Confusion Matrix === a b c d e f g <-- classified as 743 27 31 7 40 64 48 | a = chest 27 725 48 10 30 39 74 | b = forearm 53 43 674 25 27 66 71 | c = head 11 12 38 794 48 30 26 | d = shin 59 25 35 36 735 43 27 | e = thigh 48 46 74 20 37 698 36 | f = upperarm 18 49 33 23 32 36 768 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 5113 76.2111 % Incorrectly Classified Instances 1596 23.7889 % Kappa statistic 0.7225 Mean absolute error 0.1137 Root mean squared error 0.2225 Relative absolute error 46.4111 % Root relative squared error 63.5864 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.813 0.04 0.774 0.813 0.793 0.971 chest 0.775 0.043 0.749 0.775 0.762 0.964 forearm 0.706 0.048 0.712 0.706 0.709 0.942 head 0.809 0.023 0.857 0.809 0.832 0.975 shin 0.748 0.035 0.783 0.748 0.765 0.963 thigh 0.701 0.045 0.722 0.701 0.711 0.948 upperarm 0.783 0.045 0.744 0.783 0.763 0.963 waist Weighted Avg. 0.762 0.04 0.763 0.762 0.762 0.961 === Confusion Matrix === a b c d e f g <-- classified as 780 35 30 11 35 35 33 | a = chest 38 739 61 8 31 25 52 | b = forearm 38 47 677 22 32 83 60 | c = head 12 20 48 776 31 35 37 | d = shin 50 37 22 50 718 50 33 | e = thigh 55 49 86 22 31 672 44 | f = upperarm 35 59 27 17 39 31 751 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 5125 76.3899 % Incorrectly Classified Instances 1584 23.6101 % Kappa statistic 0.7245 Mean absolute error 0.1128 Root mean squared error 0.2212 Relative absolute error 46.076 % Root relative squared error 63.2065 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.813 0.041 0.766 0.813 0.789 0.974 chest 0.752 0.04 0.756 0.752 0.754 0.961 forearm 0.698 0.047 0.712 0.698 0.705 0.941 head 0.856 0.023 0.861 0.856 0.858 0.981 shin 0.75 0.032 0.796 0.75 0.773 0.964 thigh 0.684 0.041 0.737 0.684 0.71 0.946 upperarm 0.795 0.051 0.722 0.795 0.757 0.966 waist Weighted Avg. 0.764 0.039 0.764 0.764 0.764 0.962 === Confusion Matrix === a b c d e f g <-- classified as 780 36 27 11 31 35 39 | a = chest 40 717 52 5 29 46 65 | b = forearm 48 36 669 23 35 70 78 | c = head 1 15 43 821 37 22 20 | d = shin 59 39 22 36 720 38 46 | e = thigh 53 49 93 35 28 656 45 | f = upperarm 37 56 34 23 24 23 762 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 9 FOLD: 0 Correctly Classified Instances 5078 75.6781 % Incorrectly Classified Instances 1632 24.3219 % Kappa statistic 0.7162 Mean absolute error 0.1143 Root mean squared error 0.2238 Relative absolute error 46.685 % Root relative squared error 63.9604 % Total Number of Instances 6710 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.773 0.04 0.762 0.773 0.767 0.969 chest 0.759 0.041 0.755 0.759 0.757 0.962 forearm 0.686 0.049 0.702 0.686 0.694 0.938 head 0.833 0.02 0.874 0.833 0.853 0.978 shin 0.752 0.033 0.791 0.752 0.771 0.964 thigh 0.698 0.049 0.706 0.698 0.702 0.939 upperarm 0.797 0.053 0.717 0.797 0.755 0.965 waist Weighted Avg. 0.757 0.041 0.758 0.757 0.757 0.959 === Confusion Matrix === a b c d e f g <-- classified as 742 36 31 2 37 65 47 | a = chest 38 723 47 4 22 42 77 | b = forearm 44 46 658 26 42 73 70 | c = head 14 14 31 799 34 37 30 | d = shin 56 27 40 40 721 35 40 | e = thigh 50 57 91 22 32 670 38 | f = upperarm 30 54 39 21 24 27 765 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 5054 75.3204 % Incorrectly Classified Instances 1656 24.6796 % Kappa statistic 0.7121 Mean absolute error 0.1148 Root mean squared error 0.2249 Relative absolute error 46.8847 % Root relative squared error 64.2715 % Total Number of Instances 6710 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.799 0.04 0.769 0.799 0.783 0.968 chest 0.743 0.04 0.756 0.743 0.75 0.96 forearm 0.716 0.053 0.695 0.716 0.705 0.939 head 0.801 0.025 0.844 0.801 0.822 0.978 shin 0.77 0.036 0.78 0.77 0.775 0.964 thigh 0.669 0.045 0.713 0.669 0.69 0.939 upperarm 0.775 0.05 0.722 0.775 0.747 0.961 waist Weighted Avg. 0.753 0.041 0.754 0.753 0.753 0.958 === Confusion Matrix === a b c d e f g <-- classified as 767 27 31 11 40 46 38 | a = chest 40 708 63 4 23 38 77 | b = forearm 34 37 687 34 36 61 70 | c = head 6 18 43 768 56 36 32 | d = shin 55 32 27 35 738 45 27 | e = thigh 59 54 105 30 27 642 43 | f = upperarm 37 60 33 28 26 32 744 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 5184 77.2578 % Incorrectly Classified Instances 1526 22.7422 % Kappa statistic 0.7347 Mean absolute error 0.1113 Root mean squared error 0.219 Relative absolute error 45.4442 % Root relative squared error 62.5863 % Total Number of Instances 6710 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.799 0.037 0.785 0.799 0.792 0.974 chest 0.775 0.04 0.762 0.775 0.769 0.962 forearm 0.711 0.045 0.724 0.711 0.718 0.941 head 0.821 0.02 0.873 0.821 0.846 0.982 shin 0.789 0.034 0.796 0.789 0.792 0.97 thigh 0.711 0.042 0.738 0.711 0.724 0.953 upperarm 0.802 0.047 0.738 0.802 0.769 0.966 waist Weighted Avg. 0.773 0.038 0.774 0.773 0.773 0.964 === Confusion Matrix === a b c d e f g <-- classified as 766 29 31 11 30 46 46 | a = chest 30 739 55 8 30 36 55 | b = forearm 39 45 682 24 24 70 75 | c = head 13 14 44 787 43 26 32 | d = shin 58 27 22 33 757 35 28 | e = thigh 41 53 81 24 41 683 37 | f = upperarm 29 63 27 15 26 30 770 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 5151 76.7775 % Incorrectly Classified Instances 1558 23.2225 % Kappa statistic 0.7291 Mean absolute error 0.1114 Root mean squared error 0.2191 Relative absolute error 45.48 % Root relative squared error 62.6214 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.798 0.037 0.783 0.798 0.79 0.971 chest 0.759 0.038 0.768 0.759 0.763 0.965 forearm 0.708 0.046 0.719 0.708 0.713 0.944 head 0.844 0.022 0.866 0.844 0.855 0.981 shin 0.77 0.035 0.784 0.77 0.777 0.966 thigh 0.718 0.042 0.738 0.718 0.728 0.949 upperarm 0.778 0.05 0.721 0.778 0.748 0.963 waist Weighted Avg. 0.768 0.039 0.768 0.768 0.768 0.963 === Confusion Matrix === a b c d e f g <-- classified as 765 35 20 8 37 46 48 | a = chest 40 723 54 6 29 33 68 | b = forearm 40 47 679 19 39 69 66 | c = head 8 12 38 809 37 25 30 | d = shin 37 26 35 34 739 42 47 | e = thigh 51 43 87 33 26 689 30 | f = upperarm 36 55 32 25 36 29 747 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 5124 76.375 % Incorrectly Classified Instances 1585 23.625 % Kappa statistic 0.7244 Mean absolute error 0.1119 Root mean squared error 0.2206 Relative absolute error 45.6866 % Root relative squared error 63.0403 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.825 0.041 0.769 0.825 0.796 0.971 chest 0.782 0.043 0.749 0.782 0.765 0.962 forearm 0.677 0.048 0.701 0.677 0.689 0.941 head 0.842 0.02 0.877 0.842 0.859 0.979 shin 0.781 0.027 0.826 0.781 0.803 0.971 thigh 0.653 0.046 0.705 0.653 0.678 0.943 upperarm 0.788 0.05 0.725 0.788 0.755 0.964 waist Weighted Avg. 0.764 0.039 0.764 0.764 0.763 0.962 === Confusion Matrix === a b c d e f g <-- classified as 791 28 21 7 28 49 35 | a = chest 40 745 52 8 18 29 61 | b = forearm 33 58 649 21 28 88 82 | c = head 11 19 37 807 29 32 24 | d = shin 56 27 28 34 750 36 29 | e = thigh 55 61 116 21 24 626 56 | f = upperarm 43 57 23 22 31 28 756 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 5137 76.5688 % Incorrectly Classified Instances 1572 23.4312 % Kappa statistic 0.7266 Mean absolute error 0.1126 Root mean squared error 0.2208 Relative absolute error 45.9878 % Root relative squared error 63.1022 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.805 0.042 0.764 0.805 0.784 0.969 chest 0.79 0.042 0.756 0.79 0.773 0.965 forearm 0.704 0.045 0.724 0.704 0.714 0.939 head 0.822 0.022 0.86 0.822 0.841 0.978 shin 0.771 0.036 0.781 0.771 0.776 0.967 thigh 0.682 0.039 0.742 0.682 0.711 0.949 upperarm 0.786 0.047 0.736 0.786 0.76 0.965 waist Weighted Avg. 0.766 0.039 0.766 0.766 0.765 0.962 === Confusion Matrix === a b c d e f g <-- classified as 772 30 23 7 33 42 52 | a = chest 24 754 54 5 30 25 62 | b = forearm 57 51 675 24 33 64 55 | c = head 8 18 35 788 50 31 29 | d = shin 49 31 20 42 740 43 35 | e = thigh 58 55 92 29 34 654 37 | f = upperarm 43 59 33 21 27 22 754 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 5138 76.5837 % Incorrectly Classified Instances 1571 23.4163 % Kappa statistic 0.7268 Mean absolute error 0.1139 Root mean squared error 0.2221 Relative absolute error 46.51 % Root relative squared error 63.4805 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.831 0.042 0.766 0.831 0.797 0.971 chest 0.781 0.035 0.789 0.781 0.785 0.965 forearm 0.688 0.044 0.722 0.688 0.705 0.94 head 0.819 0.023 0.854 0.819 0.836 0.978 shin 0.774 0.036 0.783 0.774 0.778 0.963 thigh 0.663 0.044 0.717 0.663 0.689 0.945 upperarm 0.805 0.049 0.732 0.805 0.767 0.967 waist Weighted Avg. 0.766 0.039 0.766 0.766 0.765 0.961 === Confusion Matrix === a b c d e f g <-- classified as 797 26 19 8 35 44 30 | a = chest 45 745 37 3 26 29 69 | b = forearm 46 40 660 33 35 83 62 | c = head 9 15 43 785 43 30 34 | d = shin 52 25 30 36 743 31 43 | e = thigh 63 46 97 32 40 636 45 | f = upperarm 29 47 28 22 27 34 772 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 5159 76.8967 % Incorrectly Classified Instances 1550 23.1033 % Kappa statistic 0.7305 Mean absolute error 0.1115 Root mean squared error 0.2199 Relative absolute error 45.54 % Root relative squared error 62.8352 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.823 0.037 0.787 0.823 0.804 0.975 chest 0.766 0.041 0.757 0.766 0.762 0.965 forearm 0.715 0.043 0.736 0.715 0.726 0.947 head 0.826 0.022 0.862 0.826 0.843 0.98 shin 0.76 0.038 0.772 0.76 0.766 0.961 thigh 0.694 0.039 0.746 0.694 0.719 0.945 upperarm 0.798 0.05 0.728 0.798 0.761 0.967 waist Weighted Avg. 0.769 0.039 0.77 0.769 0.769 0.963 === Confusion Matrix === a b c d e f g <-- classified as 790 29 23 3 39 45 31 | a = chest 38 730 37 10 30 34 74 | b = forearm 47 46 686 16 37 61 66 | c = head 14 17 35 792 38 25 38 | d = shin 36 45 32 50 730 33 34 | e = thigh 56 43 90 22 39 666 43 | f = upperarm 23 54 29 26 33 29 765 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 5140 76.6135 % Incorrectly Classified Instances 1569 23.3865 % Kappa statistic 0.7272 Mean absolute error 0.1137 Root mean squared error 0.2222 Relative absolute error 46.4085 % Root relative squared error 63.4891 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.799 0.041 0.765 0.799 0.782 0.97 chest 0.772 0.04 0.763 0.772 0.768 0.965 forearm 0.73 0.044 0.735 0.73 0.733 0.941 head 0.823 0.023 0.855 0.823 0.838 0.979 shin 0.746 0.037 0.772 0.746 0.758 0.96 thigh 0.702 0.043 0.729 0.702 0.715 0.944 upperarm 0.791 0.045 0.746 0.791 0.768 0.964 waist Weighted Avg. 0.766 0.039 0.767 0.766 0.766 0.961 === Confusion Matrix === a b c d e f g <-- classified as 767 37 25 5 41 55 30 | a = chest 29 736 51 7 23 35 72 | b = forearm 38 50 700 22 38 54 57 | c = head 13 11 35 789 45 41 25 | d = shin 68 27 29 48 716 36 36 | e = thigh 59 44 82 30 33 673 38 | f = upperarm 28 59 30 22 32 29 759 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 5150 76.7626 % Incorrectly Classified Instances 1559 23.2374 % Kappa statistic 0.7289 Mean absolute error 0.1113 Root mean squared error 0.2194 Relative absolute error 45.466 % Root relative squared error 62.6923 % Total Number of Instances 6709 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.824 0.04 0.775 0.824 0.799 0.973 chest 0.74 0.033 0.786 0.74 0.762 0.963 forearm 0.707 0.054 0.685 0.707 0.696 0.94 head 0.829 0.022 0.861 0.829 0.845 0.978 shin 0.781 0.033 0.796 0.781 0.789 0.971 thigh 0.705 0.039 0.749 0.705 0.726 0.947 upperarm 0.787 0.049 0.73 0.787 0.758 0.964 waist Weighted Avg. 0.768 0.039 0.769 0.768 0.768 0.962 === Confusion Matrix === a b c d e f g <-- classified as 791 21 25 7 37 48 31 | a = chest 39 705 63 7 29 32 78 | b = forearm 51 34 678 27 34 58 77 | c = head 6 12 44 795 42 29 31 | d = shin 50 25 28 40 750 33 34 | e = thigh 44 46 111 26 28 676 28 | f = upperarm 40 54 41 21 22 26 755 | g = waist ------------------------------------------------------------------------------------------------------ SUBJECT: 6 RUN: 0 FOLD: 0 Correctly Classified Instances 4667 79.5331 % Incorrectly Classified Instances 1201 20.4669 % Kappa statistic 0.7612 Mean absolute error 0.1035 Root mean squared error 0.2085 Relative absolute error 42.2796 % Root relative squared error 59.5924 % Total Number of Instances 5868 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.79 0.038 0.778 0.79 0.784 0.971 chest 0.785 0.039 0.77 0.785 0.777 0.97 forearm 0.814 0.034 0.799 0.814 0.806 0.975 head 0.873 0.019 0.885 0.873 0.879 0.983 shin 0.755 0.034 0.783 0.755 0.769 0.971 thigh 0.781 0.041 0.763 0.781 0.772 0.967 upperarm 0.769 0.034 0.79 0.769 0.78 0.968 waist Weighted Avg. 0.795 0.034 0.796 0.795 0.795 0.972 === Confusion Matrix === a b c d e f g <-- classified as 664 51 25 5 18 42 36 | a = chest 33 656 58 5 13 20 51 | b = forearm 35 38 685 2 14 34 34 | c = head 12 4 16 734 50 15 10 | d = shin 15 19 23 60 624 66 19 | e = thigh 50 21 28 9 54 657 22 | f = upperarm 44 63 22 14 24 27 647 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4730 80.6067 % Incorrectly Classified Instances 1138 19.3933 % Kappa statistic 0.7737 Mean absolute error 0.1006 Root mean squared error 0.2049 Relative absolute error 41.0845 % Root relative squared error 58.562 % Total Number of Instances 5868 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.793 0.037 0.78 0.793 0.787 0.974 chest 0.795 0.038 0.778 0.795 0.786 0.969 forearm 0.843 0.032 0.816 0.843 0.829 0.98 head 0.905 0.019 0.89 0.905 0.897 0.989 shin 0.75 0.026 0.826 0.75 0.787 0.967 thigh 0.773 0.04 0.765 0.773 0.769 0.965 upperarm 0.782 0.035 0.789 0.782 0.786 0.969 waist Weighted Avg. 0.806 0.032 0.806 0.806 0.806 0.973 === Confusion Matrix === a b c d e f g <-- classified as 667 48 18 7 12 57 32 | a = chest 38 665 51 2 8 18 55 | b = forearm 21 43 710 2 14 25 27 | c = head 10 4 8 761 36 8 14 | d = shin 22 15 23 49 619 72 25 | e = thigh 55 17 34 17 45 650 23 | f = upperarm 42 63 26 17 15 20 658 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4732 80.6408 % Incorrectly Classified Instances 1136 19.3592 % Kappa statistic 0.7741 Mean absolute error 0.1019 Root mean squared error 0.206 Relative absolute error 41.5913 % Root relative squared error 58.8831 % Total Number of Instances 5868 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.823 0.036 0.794 0.823 0.808 0.975 chest 0.778 0.039 0.769 0.778 0.773 0.971 forearm 0.845 0.035 0.802 0.845 0.823 0.978 head 0.888 0.018 0.892 0.888 0.89 0.988 shin 0.741 0.027 0.82 0.741 0.778 0.971 thigh 0.8 0.035 0.792 0.8 0.796 0.968 upperarm 0.768 0.037 0.778 0.768 0.773 0.967 waist Weighted Avg. 0.806 0.032 0.807 0.806 0.806 0.974 === Confusion Matrix === a b c d e f g <-- classified as 692 39 13 2 10 54 31 | a = chest 39 651 70 1 12 12 52 | b = forearm 20 43 711 2 13 20 32 | c = head 10 6 8 747 39 16 15 | d = shin 25 14 20 63 611 58 34 | e = thigh 41 24 30 11 42 674 20 | f = upperarm 45 70 34 11 18 17 646 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4633 78.9671 % Incorrectly Classified Instances 1234 21.0329 % Kappa statistic 0.7546 Mean absolute error 0.1035 Root mean squared error 0.2098 Relative absolute error 42.2505 % Root relative squared error 59.9536 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.797 0.041 0.766 0.797 0.781 0.971 chest 0.772 0.037 0.774 0.772 0.773 0.967 forearm 0.83 0.035 0.797 0.83 0.813 0.98 head 0.868 0.018 0.891 0.868 0.88 0.986 shin 0.736 0.032 0.788 0.736 0.761 0.961 thigh 0.75 0.043 0.745 0.75 0.748 0.962 upperarm 0.774 0.039 0.77 0.774 0.772 0.965 waist Weighted Avg. 0.79 0.035 0.79 0.79 0.79 0.97 === Confusion Matrix === a b c d e f g <-- classified as 670 47 16 12 15 48 33 | a = chest 40 645 59 3 13 22 54 | b = forearm 23 36 698 1 14 30 39 | c = head 14 7 11 731 42 20 17 | d = shin 27 20 22 48 607 72 29 | e = thigh 54 21 29 19 64 631 23 | f = upperarm 47 57 41 6 15 24 651 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4714 80.3477 % Incorrectly Classified Instances 1153 19.6523 % Kappa statistic 0.7707 Mean absolute error 0.1019 Root mean squared error 0.2062 Relative absolute error 41.6247 % Root relative squared error 58.9391 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.811 0.04 0.773 0.811 0.792 0.975 chest 0.806 0.037 0.786 0.806 0.796 0.972 forearm 0.843 0.033 0.809 0.843 0.826 0.979 head 0.879 0.018 0.893 0.879 0.886 0.987 shin 0.733 0.025 0.829 0.733 0.778 0.966 thigh 0.779 0.039 0.771 0.779 0.775 0.967 upperarm 0.772 0.039 0.77 0.772 0.771 0.97 waist Weighted Avg. 0.803 0.033 0.804 0.803 0.803 0.974 === Confusion Matrix === a b c d e f g <-- classified as 682 40 22 4 10 48 35 | a = chest 28 674 52 3 5 16 58 | b = forearm 24 35 709 3 10 31 29 | c = head 15 4 12 740 38 13 20 | d = shin 38 18 14 57 605 58 35 | e = thigh 59 23 38 8 41 655 17 | f = upperarm 36 64 29 14 21 28 649 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4702 80.1432 % Incorrectly Classified Instances 1165 19.8568 % Kappa statistic 0.7683 Mean absolute error 0.1022 Root mean squared error 0.2059 Relative absolute error 41.7408 % Root relative squared error 58.8275 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.819 0.037 0.787 0.819 0.803 0.976 chest 0.787 0.035 0.791 0.787 0.789 0.972 forearm 0.847 0.034 0.807 0.847 0.826 0.981 head 0.85 0.016 0.898 0.85 0.874 0.986 shin 0.76 0.033 0.79 0.76 0.775 0.969 thigh 0.766 0.04 0.763 0.766 0.764 0.964 upperarm 0.78 0.037 0.778 0.78 0.779 0.968 waist Weighted Avg. 0.801 0.033 0.802 0.801 0.802 0.974 === Confusion Matrix === a b c d e f g <-- classified as 689 40 19 6 10 41 36 | a = chest 41 658 47 1 12 20 57 | b = forearm 18 40 712 2 13 30 26 | c = head 13 6 16 716 57 18 16 | d = shin 22 15 24 48 627 62 27 | e = thigh 51 16 40 16 49 644 25 | f = upperarm 41 57 24 8 26 29 656 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4661 79.4443 % Incorrectly Classified Instances 1206 20.5557 % Kappa statistic 0.7602 Mean absolute error 0.1032 Root mean squared error 0.208 Relative absolute error 42.1528 % Root relative squared error 59.4445 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.815 0.037 0.789 0.815 0.801 0.976 chest 0.778 0.039 0.767 0.778 0.772 0.97 forearm 0.834 0.035 0.8 0.834 0.816 0.979 head 0.83 0.019 0.882 0.83 0.855 0.982 shin 0.753 0.032 0.792 0.753 0.772 0.966 thigh 0.767 0.04 0.764 0.767 0.766 0.967 upperarm 0.785 0.039 0.773 0.785 0.778 0.967 waist Weighted Avg. 0.794 0.034 0.795 0.794 0.795 0.972 === Confusion Matrix === a b c d e f g <-- classified as 686 48 13 4 13 52 26 | a = chest 31 650 44 6 15 22 68 | b = forearm 37 33 702 3 19 21 27 | c = head 12 13 19 698 49 25 25 | d = shin 17 26 17 49 621 62 33 | e = thigh 47 15 53 17 49 645 15 | f = upperarm 40 62 30 14 18 17 659 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4715 80.3648 % Incorrectly Classified Instances 1152 19.6352 % Kappa statistic 0.7709 Mean absolute error 0.1018 Root mean squared error 0.206 Relative absolute error 41.5833 % Root relative squared error 58.8836 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.817 0.035 0.797 0.817 0.807 0.975 chest 0.786 0.036 0.782 0.786 0.784 0.967 forearm 0.847 0.032 0.814 0.847 0.83 0.98 head 0.868 0.017 0.898 0.868 0.883 0.987 shin 0.781 0.035 0.785 0.781 0.783 0.963 thigh 0.761 0.04 0.76 0.761 0.761 0.965 upperarm 0.765 0.034 0.791 0.765 0.778 0.972 waist Weighted Avg. 0.804 0.033 0.804 0.804 0.804 0.973 === Confusion Matrix === a b c d e f g <-- classified as 688 39 18 3 17 55 22 | a = chest 29 657 48 1 10 33 58 | b = forearm 19 38 713 2 18 28 24 | c = head 11 6 13 730 48 15 18 | d = shin 23 14 19 54 644 48 23 | e = thigh 47 17 36 17 59 640 25 | f = upperarm 46 69 29 6 24 23 643 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4682 79.8023 % Incorrectly Classified Instances 1185 20.1977 % Kappa statistic 0.7643 Mean absolute error 0.1021 Root mean squared error 0.2067 Relative absolute error 41.7046 % Root relative squared error 59.0624 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.806 0.036 0.788 0.806 0.797 0.976 chest 0.754 0.033 0.789 0.754 0.771 0.966 forearm 0.827 0.042 0.767 0.827 0.796 0.977 head 0.848 0.015 0.903 0.848 0.874 0.984 shin 0.771 0.028 0.821 0.771 0.795 0.971 thigh 0.793 0.043 0.755 0.793 0.774 0.966 upperarm 0.787 0.038 0.776 0.787 0.781 0.969 waist Weighted Avg. 0.798 0.034 0.8 0.798 0.798 0.973 === Confusion Matrix === a b c d e f g <-- classified as 679 35 21 3 18 45 41 | a = chest 33 630 72 3 5 28 65 | b = forearm 27 42 696 4 8 34 31 | c = head 10 8 17 713 47 29 17 | d = shin 21 13 27 48 636 56 24 | e = thigh 47 16 41 10 47 667 13 | f = upperarm 45 54 33 9 14 24 661 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4695 80.0239 % Incorrectly Classified Instances 1172 19.9761 % Kappa statistic 0.7669 Mean absolute error 0.1008 Root mean squared error 0.2054 Relative absolute error 41.1438 % Root relative squared error 58.6863 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.803 0.038 0.78 0.803 0.791 0.974 chest 0.78 0.035 0.789 0.78 0.785 0.971 forearm 0.824 0.035 0.799 0.824 0.811 0.979 head 0.872 0.014 0.911 0.872 0.891 0.986 shin 0.754 0.031 0.799 0.754 0.776 0.968 thigh 0.792 0.044 0.749 0.792 0.77 0.968 upperarm 0.776 0.036 0.783 0.776 0.779 0.969 waist Weighted Avg. 0.8 0.033 0.801 0.8 0.801 0.974 === Confusion Matrix === a b c d e f g <-- classified as 675 34 16 3 13 69 31 | a = chest 32 652 65 2 11 22 52 | b = forearm 26 43 694 0 17 31 31 | c = head 11 4 14 733 55 9 15 | d = shin 29 18 18 44 623 66 28 | e = thigh 51 17 29 12 42 666 24 | f = upperarm 41 58 33 11 19 26 652 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 1 FOLD: 0 Correctly Classified Instances 4728 80.5726 % Incorrectly Classified Instances 1140 19.4274 % Kappa statistic 0.7733 Mean absolute error 0.1018 Root mean squared error 0.2055 Relative absolute error 41.5703 % Root relative squared error 58.725 % Total Number of Instances 5868 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.805 0.037 0.785 0.805 0.795 0.972 chest 0.78 0.035 0.786 0.78 0.783 0.968 forearm 0.855 0.034 0.806 0.855 0.83 0.981 head 0.872 0.017 0.897 0.872 0.884 0.989 shin 0.773 0.028 0.82 0.773 0.796 0.971 thigh 0.772 0.036 0.784 0.772 0.778 0.967 upperarm 0.782 0.04 0.766 0.782 0.774 0.97 waist Weighted Avg. 0.806 0.032 0.806 0.806 0.806 0.974 === Confusion Matrix === a b c d e f g <-- classified as 678 45 26 4 15 46 28 | a = chest 26 652 61 4 15 21 57 | b = forearm 29 26 719 1 11 23 32 | c = head 7 8 7 734 41 17 28 | d = shin 22 18 23 49 638 50 25 | e = thigh 56 17 32 15 41 649 31 | f = upperarm 46 63 24 11 17 22 658 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4655 79.3286 % Incorrectly Classified Instances 1213 20.6714 % Kappa statistic 0.7588 Mean absolute error 0.1042 Root mean squared error 0.2094 Relative absolute error 42.5487 % Root relative squared error 59.8425 % Total Number of Instances 5868 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.79 0.037 0.783 0.79 0.787 0.973 chest 0.793 0.043 0.753 0.793 0.772 0.965 forearm 0.838 0.038 0.788 0.838 0.812 0.978 head 0.856 0.016 0.902 0.856 0.879 0.986 shin 0.754 0.031 0.797 0.754 0.775 0.966 thigh 0.736 0.044 0.738 0.736 0.737 0.96 upperarm 0.785 0.033 0.8 0.785 0.792 0.972 waist Weighted Avg. 0.793 0.034 0.794 0.793 0.794 0.972 === Confusion Matrix === a b c d e f g <-- classified as 665 52 24 2 12 60 27 | a = chest 27 663 69 3 10 17 47 | b = forearm 27 33 705 1 17 24 34 | c = head 10 11 12 720 57 22 9 | d = shin 19 18 17 42 622 77 30 | e = thigh 63 30 46 20 45 620 18 | f = upperarm 38 74 22 10 17 20 660 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4683 79.8057 % Incorrectly Classified Instances 1185 20.1943 % Kappa statistic 0.7644 Mean absolute error 0.1025 Root mean squared error 0.2073 Relative absolute error 41.8518 % Root relative squared error 59.229 % Total Number of Instances 5868 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.804 0.04 0.773 0.804 0.788 0.976 chest 0.788 0.034 0.795 0.788 0.792 0.971 forearm 0.82 0.036 0.79 0.82 0.805 0.977 head 0.857 0.019 0.884 0.857 0.87 0.985 shin 0.783 0.036 0.782 0.783 0.783 0.965 thigh 0.767 0.038 0.77 0.767 0.768 0.971 upperarm 0.766 0.033 0.796 0.766 0.781 0.968 waist Weighted Avg. 0.798 0.034 0.799 0.798 0.798 0.973 === Confusion Matrix === a b c d e f g <-- classified as 677 42 21 9 12 51 30 | a = chest 32 659 51 4 14 29 47 | b = forearm 28 47 690 5 15 28 28 | c = head 17 4 12 721 54 17 16 | d = shin 18 11 25 53 647 49 23 | e = thigh 58 8 34 13 62 645 21 | f = upperarm 46 58 40 11 23 19 644 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4702 80.1432 % Incorrectly Classified Instances 1165 19.8568 % Kappa statistic 0.7683 Mean absolute error 0.1011 Root mean squared error 0.2061 Relative absolute error 41.2753 % Root relative squared error 58.8933 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.791 0.038 0.779 0.791 0.785 0.971 chest 0.792 0.038 0.775 0.792 0.783 0.971 forearm 0.834 0.032 0.811 0.834 0.822 0.98 head 0.873 0.014 0.913 0.873 0.892 0.986 shin 0.746 0.027 0.82 0.746 0.781 0.966 thigh 0.792 0.04 0.767 0.792 0.779 0.967 upperarm 0.782 0.043 0.755 0.782 0.768 0.969 waist Weighted Avg. 0.801 0.033 0.803 0.801 0.802 0.973 === Confusion Matrix === a b c d e f g <-- classified as 665 40 22 5 13 55 41 | a = chest 38 662 42 1 8 24 61 | b = forearm 22 38 701 5 15 27 33 | c = head 8 7 9 734 44 15 24 | d = shin 30 23 26 38 616 60 33 | e = thigh 49 19 34 13 38 666 22 | f = upperarm 42 65 30 8 17 21 658 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4706 80.2114 % Incorrectly Classified Instances 1161 19.7886 % Kappa statistic 0.7691 Mean absolute error 0.1024 Root mean squared error 0.2076 Relative absolute error 41.8196 % Root relative squared error 59.3324 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.828 0.035 0.797 0.828 0.812 0.974 chest 0.764 0.038 0.77 0.764 0.767 0.966 forearm 0.827 0.034 0.805 0.827 0.815 0.976 head 0.874 0.018 0.889 0.874 0.881 0.985 shin 0.76 0.03 0.808 0.76 0.783 0.97 thigh 0.778 0.04 0.764 0.778 0.771 0.966 upperarm 0.784 0.036 0.785 0.784 0.784 0.97 waist Weighted Avg. 0.802 0.033 0.802 0.802 0.802 0.972 === Confusion Matrix === a b c d e f g <-- classified as 696 41 18 2 12 48 24 | a = chest 36 639 64 5 10 14 68 | b = forearm 30 42 696 1 15 29 29 | c = head 6 9 14 735 45 19 13 | d = shin 21 12 17 56 627 67 25 | e = thigh 52 21 32 15 45 654 22 | f = upperarm 32 66 24 13 22 25 659 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4659 79.4103 % Incorrectly Classified Instances 1208 20.5897 % Kappa statistic 0.7598 Mean absolute error 0.1023 Root mean squared error 0.2074 Relative absolute error 41.7525 % Root relative squared error 59.2622 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.793 0.041 0.765 0.793 0.779 0.974 chest 0.76 0.04 0.761 0.76 0.76 0.97 forearm 0.827 0.034 0.803 0.827 0.815 0.979 head 0.883 0.015 0.908 0.883 0.896 0.986 shin 0.761 0.028 0.816 0.761 0.787 0.969 thigh 0.766 0.042 0.751 0.766 0.759 0.961 upperarm 0.768 0.04 0.761 0.768 0.764 0.964 waist Weighted Avg. 0.794 0.034 0.795 0.794 0.794 0.972 === Confusion Matrix === a b c d e f g <-- classified as 667 41 11 5 23 49 45 | a = chest 33 635 66 3 11 24 64 | b = forearm 30 39 696 2 12 35 28 | c = head 14 6 11 743 35 15 17 | d = shin 27 18 21 36 628 67 28 | e = thigh 58 21 32 19 46 644 21 | f = upperarm 43 74 30 10 15 23 646 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4669 79.5807 % Incorrectly Classified Instances 1198 20.4193 % Kappa statistic 0.7618 Mean absolute error 0.1029 Root mean squared error 0.2083 Relative absolute error 42.0166 % Root relative squared error 59.5399 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.8 0.036 0.788 0.8 0.794 0.972 chest 0.787 0.038 0.775 0.787 0.781 0.97 forearm 0.824 0.035 0.798 0.824 0.811 0.978 head 0.859 0.017 0.894 0.859 0.876 0.985 shin 0.748 0.034 0.784 0.748 0.766 0.966 thigh 0.778 0.042 0.755 0.778 0.766 0.965 upperarm 0.774 0.036 0.781 0.774 0.778 0.965 waist Weighted Avg. 0.796 0.034 0.796 0.796 0.796 0.972 === Confusion Matrix === a b c d e f g <-- classified as 673 40 25 5 14 60 24 | a = chest 35 659 58 4 14 18 49 | b = forearm 26 31 694 1 23 26 41 | c = head 10 13 15 722 45 20 16 | d = shin 24 15 20 53 617 64 32 | e = thigh 43 25 33 10 56 654 20 | f = upperarm 43 67 25 13 18 24 650 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4710 80.2795 % Incorrectly Classified Instances 1157 19.7205 % Kappa statistic 0.7699 Mean absolute error 0.1019 Root mean squared error 0.2063 Relative absolute error 41.6189 % Root relative squared error 58.9651 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.816 0.039 0.778 0.816 0.796 0.977 chest 0.793 0.034 0.796 0.793 0.795 0.969 forearm 0.837 0.036 0.798 0.837 0.817 0.979 head 0.874 0.018 0.893 0.874 0.883 0.985 shin 0.764 0.029 0.814 0.764 0.788 0.967 thigh 0.782 0.042 0.759 0.782 0.77 0.967 upperarm 0.752 0.034 0.787 0.752 0.769 0.966 waist Weighted Avg. 0.803 0.033 0.803 0.803 0.803 0.973 === Confusion Matrix === a b c d e f g <-- classified as 686 39 16 6 12 56 26 | a = chest 39 664 52 2 11 21 48 | b = forearm 22 42 705 2 12 25 34 | c = head 16 7 14 735 41 20 8 | d = shin 19 14 25 50 630 55 32 | e = thigh 48 15 36 17 44 658 23 | f = upperarm 52 53 36 11 24 32 632 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4720 80.45 % Incorrectly Classified Instances 1147 19.55 % Kappa statistic 0.7719 Mean absolute error 0.1008 Root mean squared error 0.2045 Relative absolute error 41.1755 % Root relative squared error 58.4368 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.835 0.038 0.785 0.835 0.809 0.979 chest 0.778 0.035 0.789 0.778 0.783 0.972 forearm 0.841 0.032 0.816 0.841 0.828 0.98 head 0.868 0.019 0.884 0.868 0.876 0.987 shin 0.747 0.03 0.803 0.747 0.774 0.966 thigh 0.794 0.04 0.77 0.794 0.782 0.967 upperarm 0.768 0.035 0.787 0.768 0.777 0.969 waist Weighted Avg. 0.804 0.033 0.805 0.804 0.804 0.974 === Confusion Matrix === a b c d e f g <-- classified as 702 34 13 8 8 50 26 | a = chest 31 650 52 2 11 29 61 | b = forearm 26 36 708 3 14 32 23 | c = head 12 7 13 731 46 14 19 | d = shin 25 18 31 62 616 48 25 | e = thigh 45 23 27 7 50 668 21 | f = upperarm 53 56 24 14 22 26 645 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4753 81.0124 % Incorrectly Classified Instances 1114 18.9876 % Kappa statistic 0.7785 Mean absolute error 0.1005 Root mean squared error 0.2044 Relative absolute error 41.0329 % Root relative squared error 58.4032 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.8 0.035 0.793 0.8 0.796 0.976 chest 0.793 0.039 0.772 0.793 0.782 0.97 forearm 0.849 0.029 0.832 0.849 0.841 0.981 head 0.879 0.018 0.89 0.879 0.885 0.985 shin 0.764 0.029 0.814 0.764 0.788 0.969 thigh 0.775 0.036 0.781 0.775 0.778 0.966 upperarm 0.81 0.036 0.791 0.81 0.8 0.972 waist Weighted Avg. 0.81 0.032 0.81 0.81 0.81 0.974 === Confusion Matrix === a b c d e f g <-- classified as 673 60 9 9 14 43 33 | a = chest 32 663 45 3 12 17 64 | b = forearm 21 35 715 1 10 36 24 | c = head 13 3 14 740 44 18 10 | d = shin 22 16 22 56 630 53 26 | e = thigh 55 21 29 16 45 652 23 | f = upperarm 33 61 25 6 19 16 680 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 2 FOLD: 0 Correctly Classified Instances 4667 79.5331 % Incorrectly Classified Instances 1201 20.4669 % Kappa statistic 0.7612 Mean absolute error 0.103 Root mean squared error 0.2086 Relative absolute error 42.0586 % Root relative squared error 59.6146 % Total Number of Instances 5868 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.811 0.039 0.776 0.811 0.793 0.974 chest 0.778 0.035 0.787 0.778 0.782 0.969 forearm 0.837 0.034 0.805 0.837 0.821 0.981 head 0.859 0.021 0.873 0.859 0.866 0.985 shin 0.712 0.03 0.793 0.712 0.75 0.961 thigh 0.781 0.041 0.762 0.781 0.772 0.968 upperarm 0.788 0.039 0.773 0.788 0.78 0.968 waist Weighted Avg. 0.795 0.034 0.796 0.795 0.795 0.972 === Confusion Matrix === a b c d e f g <-- classified as 683 44 15 5 12 44 39 | a = chest 32 650 55 3 9 33 54 | b = forearm 21 39 704 2 12 29 34 | c = head 16 3 17 723 48 19 16 | d = shin 32 19 24 67 587 61 35 | e = thigh 52 14 36 15 50 657 17 | f = upperarm 44 57 23 13 22 19 663 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4720 80.4363 % Incorrectly Classified Instances 1148 19.5637 % Kappa statistic 0.7717 Mean absolute error 0.1019 Root mean squared error 0.2065 Relative absolute error 41.6236 % Root relative squared error 59.012 % Total Number of Instances 5868 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.809 0.034 0.798 0.809 0.804 0.977 chest 0.78 0.033 0.797 0.78 0.788 0.969 forearm 0.853 0.039 0.786 0.853 0.818 0.979 head 0.871 0.019 0.887 0.871 0.879 0.984 shin 0.741 0.026 0.821 0.741 0.779 0.969 thigh 0.775 0.043 0.749 0.775 0.762 0.962 upperarm 0.801 0.034 0.798 0.801 0.8 0.97 waist Weighted Avg. 0.804 0.033 0.805 0.804 0.804 0.973 === Confusion Matrix === a b c d e f g <-- classified as 681 41 16 4 13 62 25 | a = chest 31 652 71 1 8 24 49 | b = forearm 22 32 717 0 14 29 27 | c = head 10 11 16 733 37 18 17 | d = shin 17 15 27 63 611 69 23 | e = thigh 53 13 39 15 39 652 30 | f = upperarm 39 54 26 10 22 16 674 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4674 79.6524 % Incorrectly Classified Instances 1194 20.3476 % Kappa statistic 0.7626 Mean absolute error 0.1025 Root mean squared error 0.2079 Relative absolute error 41.8655 % Root relative squared error 59.4107 % Total Number of Instances 5868 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.798 0.04 0.771 0.798 0.784 0.971 chest 0.786 0.038 0.775 0.786 0.78 0.967 forearm 0.828 0.033 0.806 0.828 0.817 0.979 head 0.865 0.017 0.893 0.865 0.879 0.983 shin 0.75 0.029 0.809 0.75 0.779 0.968 thigh 0.793 0.042 0.761 0.793 0.776 0.968 upperarm 0.755 0.038 0.767 0.755 0.761 0.963 waist Weighted Avg. 0.797 0.034 0.797 0.797 0.797 0.971 === Confusion Matrix === a b c d e f g <-- classified as 672 46 15 6 13 49 41 | a = chest 32 657 52 6 15 26 48 | b = forearm 34 39 696 0 12 27 33 | c = head 11 8 10 728 41 21 23 | d = shin 29 15 27 51 619 58 26 | e = thigh 45 14 33 16 44 667 22 | f = upperarm 49 69 30 8 21 29 635 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4732 80.6545 % Incorrectly Classified Instances 1135 19.3455 % Kappa statistic 0.7743 Mean absolute error 0.1014 Root mean squared error 0.2047 Relative absolute error 41.4185 % Root relative squared error 58.5009 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.832 0.037 0.788 0.832 0.81 0.978 chest 0.778 0.036 0.78 0.778 0.779 0.971 forearm 0.843 0.034 0.807 0.843 0.825 0.98 head 0.869 0.016 0.899 0.869 0.884 0.985 shin 0.759 0.032 0.795 0.759 0.777 0.97 thigh 0.786 0.039 0.772 0.786 0.779 0.968 upperarm 0.778 0.031 0.807 0.778 0.792 0.965 waist Weighted Avg. 0.807 0.032 0.807 0.807 0.807 0.974 === Confusion Matrix === a b c d e f g <-- classified as 700 43 15 4 7 52 20 | a = chest 34 650 61 2 15 21 53 | b = forearm 24 45 710 0 12 26 25 | c = head 15 6 12 731 43 17 17 | d = shin 22 17 19 54 626 60 27 | e = thigh 42 22 30 12 60 661 14 | f = upperarm 51 50 33 10 24 19 654 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4704 80.1773 % Incorrectly Classified Instances 1163 19.8227 % Kappa statistic 0.7687 Mean absolute error 0.1014 Root mean squared error 0.2061 Relative absolute error 41.4163 % Root relative squared error 58.9008 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.801 0.035 0.792 0.801 0.797 0.972 chest 0.776 0.039 0.768 0.776 0.772 0.969 forearm 0.84 0.034 0.804 0.84 0.822 0.981 head 0.856 0.016 0.9 0.856 0.878 0.987 shin 0.782 0.029 0.817 0.782 0.799 0.971 thigh 0.773 0.042 0.756 0.773 0.764 0.966 upperarm 0.784 0.037 0.782 0.784 0.783 0.967 waist Weighted Avg. 0.802 0.033 0.803 0.802 0.802 0.973 === Confusion Matrix === a b c d e f g <-- classified as 674 39 27 2 15 58 26 | a = chest 38 649 53 6 12 22 56 | b = forearm 19 35 707 3 14 35 29 | c = head 13 10 18 720 48 13 19 | d = shin 16 16 17 43 645 56 32 | e = thigh 55 25 29 16 44 650 22 | f = upperarm 36 71 28 10 11 26 659 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4674 79.6659 % Incorrectly Classified Instances 1193 20.3341 % Kappa statistic 0.7628 Mean absolute error 0.1034 Root mean squared error 0.208 Relative absolute error 42.2127 % Root relative squared error 59.4503 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.812 0.035 0.793 0.812 0.803 0.976 chest 0.788 0.043 0.755 0.788 0.771 0.967 forearm 0.812 0.036 0.789 0.812 0.8 0.975 head 0.873 0.015 0.906 0.873 0.889 0.989 shin 0.75 0.032 0.795 0.75 0.772 0.967 thigh 0.776 0.036 0.784 0.776 0.78 0.967 upperarm 0.763 0.04 0.761 0.763 0.762 0.966 waist Weighted Avg. 0.797 0.034 0.798 0.797 0.797 0.973 === Confusion Matrix === a b c d e f g <-- classified as 683 42 12 4 19 47 34 | a = chest 25 659 55 2 8 17 70 | b = forearm 28 45 684 5 19 29 32 | c = head 12 10 12 734 52 9 12 | d = shin 25 20 27 46 619 56 32 | e = thigh 51 21 41 6 47 653 22 | f = upperarm 37 76 36 13 15 22 642 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4673 79.6489 % Incorrectly Classified Instances 1194 20.3511 % Kappa statistic 0.7626 Mean absolute error 0.1024 Root mean squared error 0.2066 Relative absolute error 41.8084 % Root relative squared error 59.0536 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.785 0.039 0.771 0.785 0.778 0.972 chest 0.794 0.041 0.765 0.794 0.779 0.973 forearm 0.84 0.034 0.803 0.84 0.821 0.978 head 0.866 0.016 0.902 0.866 0.883 0.986 shin 0.763 0.029 0.814 0.763 0.788 0.968 thigh 0.76 0.04 0.759 0.76 0.759 0.966 upperarm 0.768 0.039 0.768 0.768 0.768 0.967 waist Weighted Avg. 0.796 0.034 0.797 0.796 0.797 0.973 === Confusion Matrix === a b c d e f g <-- classified as 660 49 24 6 17 51 34 | a = chest 38 664 52 3 6 17 56 | b = forearm 22 41 707 5 11 30 26 | c = head 16 4 9 728 47 12 25 | d = shin 28 19 19 40 630 64 26 | e = thigh 53 20 39 16 46 639 28 | f = upperarm 39 71 30 9 17 29 645 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4711 80.2966 % Incorrectly Classified Instances 1156 19.7034 % Kappa statistic 0.7701 Mean absolute error 0.1017 Root mean squared error 0.2059 Relative absolute error 41.5083 % Root relative squared error 58.8299 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.801 0.035 0.793 0.801 0.797 0.977 chest 0.798 0.033 0.799 0.798 0.798 0.973 forearm 0.834 0.032 0.813 0.834 0.823 0.979 head 0.868 0.016 0.9 0.868 0.884 0.987 shin 0.765 0.035 0.784 0.765 0.775 0.965 thigh 0.761 0.044 0.745 0.761 0.753 0.961 upperarm 0.793 0.035 0.79 0.793 0.791 0.971 waist Weighted Avg. 0.803 0.033 0.804 0.803 0.803 0.973 === Confusion Matrix === a b c d e f g <-- classified as 674 39 21 5 15 53 34 | a = chest 25 667 53 3 9 27 52 | b = forearm 24 35 702 2 12 36 31 | c = head 12 4 11 730 57 16 11 | d = shin 32 16 13 50 632 60 23 | e = thigh 49 20 35 12 59 640 26 | f = upperarm 34 54 28 9 22 27 666 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4703 80.1602 % Incorrectly Classified Instances 1164 19.8398 % Kappa statistic 0.7685 Mean absolute error 0.1019 Root mean squared error 0.2063 Relative absolute error 41.6082 % Root relative squared error 58.967 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.828 0.041 0.772 0.828 0.799 0.976 chest 0.772 0.037 0.775 0.772 0.773 0.966 forearm 0.811 0.033 0.803 0.811 0.807 0.976 head 0.879 0.017 0.895 0.879 0.887 0.988 shin 0.747 0.03 0.804 0.747 0.774 0.965 thigh 0.773 0.038 0.772 0.773 0.772 0.966 upperarm 0.801 0.034 0.796 0.801 0.798 0.971 waist Weighted Avg. 0.802 0.033 0.802 0.802 0.802 0.973 === Confusion Matrix === a b c d e f g <-- classified as 696 42 19 4 15 43 22 | a = chest 41 646 65 4 11 18 52 | b = forearm 32 42 683 2 14 35 34 | c = head 12 8 9 739 47 16 10 | d = shin 20 13 25 55 616 63 33 | e = thigh 62 22 29 13 43 650 22 | f = upperarm 39 61 21 9 20 17 673 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4704 80.1773 % Incorrectly Classified Instances 1163 19.8227 % Kappa statistic 0.7687 Mean absolute error 0.1022 Root mean squared error 0.2066 Relative absolute error 41.7201 % Root relative squared error 59.0421 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.811 0.039 0.779 0.811 0.794 0.974 chest 0.78 0.035 0.787 0.78 0.783 0.968 forearm 0.844 0.033 0.81 0.844 0.827 0.981 head 0.874 0.018 0.891 0.874 0.882 0.985 shin 0.775 0.031 0.804 0.775 0.789 0.969 thigh 0.749 0.041 0.753 0.749 0.751 0.962 upperarm 0.779 0.034 0.792 0.779 0.785 0.971 waist Weighted Avg. 0.802 0.033 0.802 0.802 0.802 0.973 === Confusion Matrix === a b c d e f g <-- classified as 682 41 19 8 14 51 26 | a = chest 40 653 48 4 18 21 53 | b = forearm 24 28 710 2 14 33 30 | c = head 6 10 16 735 44 18 12 | d = shin 18 24 11 47 639 56 30 | e = thigh 57 16 47 17 53 631 21 | f = upperarm 49 58 26 12 13 28 654 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 3 FOLD: 0 Correctly Classified Instances 4749 80.9305 % Incorrectly Classified Instances 1119 19.0695 % Kappa statistic 0.7775 Mean absolute error 0.1 Root mean squared error 0.2042 Relative absolute error 40.8515 % Root relative squared error 58.3524 % Total Number of Instances 5868 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.809 0.035 0.794 0.809 0.801 0.975 chest 0.797 0.034 0.798 0.797 0.797 0.97 forearm 0.845 0.031 0.818 0.845 0.832 0.977 head 0.875 0.021 0.872 0.875 0.874 0.986 shin 0.75 0.028 0.813 0.75 0.781 0.964 thigh 0.79 0.038 0.778 0.79 0.783 0.967 upperarm 0.798 0.035 0.793 0.798 0.795 0.972 waist Weighted Avg. 0.809 0.032 0.809 0.809 0.809 0.973 === Confusion Matrix === a b c d e f g <-- classified as 681 36 24 8 12 50 31 | a = chest 33 667 55 3 15 21 43 | b = forearm 29 28 711 6 9 28 30 | c = head 14 3 9 736 45 16 18 | d = shin 16 23 28 55 619 58 26 | e = thigh 51 20 21 18 40 664 27 | f = upperarm 34 59 21 18 21 17 671 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4603 78.4424 % Incorrectly Classified Instances 1265 21.5576 % Kappa statistic 0.7485 Mean absolute error 0.1052 Root mean squared error 0.2115 Relative absolute error 42.9626 % Root relative squared error 60.4472 % Total Number of Instances 5868 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.809 0.037 0.785 0.809 0.797 0.973 chest 0.743 0.039 0.759 0.743 0.751 0.965 forearm 0.818 0.039 0.777 0.818 0.797 0.974 head 0.844 0.014 0.91 0.844 0.876 0.985 shin 0.757 0.032 0.794 0.757 0.775 0.968 thigh 0.766 0.048 0.729 0.766 0.747 0.963 upperarm 0.754 0.042 0.749 0.754 0.752 0.964 waist Weighted Avg. 0.784 0.036 0.786 0.784 0.785 0.97 === Confusion Matrix === a b c d e f g <-- classified as 680 47 19 1 11 54 29 | a = chest 34 622 66 3 8 32 72 | b = forearm 33 31 688 2 13 38 36 | c = head 12 6 17 710 52 25 19 | d = shin 21 17 18 49 625 67 29 | e = thigh 41 25 42 6 56 644 27 | f = upperarm 45 72 35 9 22 24 634 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4710 80.2658 % Incorrectly Classified Instances 1158 19.7342 % Kappa statistic 0.7698 Mean absolute error 0.1025 Root mean squared error 0.2074 Relative absolute error 41.8562 % Root relative squared error 59.284 % Total Number of Instances 5868 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.819 0.035 0.798 0.819 0.809 0.977 chest 0.794 0.037 0.782 0.794 0.788 0.968 forearm 0.819 0.035 0.795 0.819 0.807 0.977 head 0.868 0.018 0.888 0.868 0.878 0.983 shin 0.759 0.032 0.798 0.759 0.778 0.967 thigh 0.787 0.037 0.78 0.787 0.783 0.966 upperarm 0.771 0.036 0.78 0.771 0.775 0.964 waist Weighted Avg. 0.803 0.033 0.803 0.803 0.803 0.972 === Confusion Matrix === a b c d e f g <-- classified as 689 45 18 3 11 48 27 | a = chest 30 664 56 3 10 21 52 | b = forearm 22 51 690 3 19 23 34 | c = head 9 12 11 730 47 15 17 | d = shin 20 14 26 54 627 48 37 | e = thigh 45 11 39 17 51 662 16 | f = upperarm 48 52 28 12 21 32 648 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4707 80.2284 % Incorrectly Classified Instances 1160 19.7716 % Kappa statistic 0.7693 Mean absolute error 0.1019 Root mean squared error 0.2064 Relative absolute error 41.5949 % Root relative squared error 58.9798 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.815 0.035 0.796 0.815 0.805 0.976 chest 0.782 0.035 0.786 0.782 0.784 0.971 forearm 0.812 0.032 0.808 0.812 0.81 0.978 head 0.857 0.015 0.904 0.857 0.88 0.985 shin 0.771 0.032 0.796 0.771 0.783 0.97 thigh 0.774 0.04 0.766 0.774 0.77 0.968 upperarm 0.804 0.041 0.768 0.804 0.786 0.969 waist Weighted Avg. 0.802 0.033 0.803 0.802 0.803 0.974 === Confusion Matrix === a b c d e f g <-- classified as 685 47 15 3 13 40 38 | a = chest 30 654 57 3 9 15 68 | b = forearm 23 43 684 1 13 41 37 | c = head 14 5 13 721 48 20 20 | d = shin 24 17 16 49 636 58 25 | e = thigh 48 19 38 14 55 651 16 | f = upperarm 37 47 24 7 25 25 676 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4643 79.1375 % Incorrectly Classified Instances 1224 20.8625 % Kappa statistic 0.7566 Mean absolute error 0.1031 Root mean squared error 0.2084 Relative absolute error 42.1176 % Root relative squared error 59.5569 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.794 0.042 0.76 0.794 0.777 0.973 chest 0.772 0.04 0.762 0.772 0.767 0.964 forearm 0.838 0.034 0.806 0.838 0.822 0.981 head 0.866 0.016 0.901 0.866 0.883 0.987 shin 0.72 0.03 0.798 0.72 0.757 0.962 thigh 0.779 0.046 0.739 0.779 0.758 0.964 upperarm 0.769 0.036 0.782 0.769 0.776 0.969 waist Weighted Avg. 0.791 0.035 0.793 0.791 0.791 0.971 === Confusion Matrix === a b c d e f g <-- classified as 668 46 15 5 15 56 36 | a = chest 43 645 64 3 12 21 48 | b = forearm 28 40 706 0 15 31 22 | c = head 13 6 8 728 44 22 20 | d = shin 28 20 23 53 594 74 33 | e = thigh 57 14 36 8 50 656 21 | f = upperarm 42 75 24 11 14 28 646 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4723 80.5011 % Incorrectly Classified Instances 1144 19.4989 % Kappa statistic 0.7725 Mean absolute error 0.1011 Root mean squared error 0.2042 Relative absolute error 41.2956 % Root relative squared error 58.3662 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.81 0.035 0.795 0.81 0.802 0.977 chest 0.791 0.035 0.791 0.791 0.791 0.973 forearm 0.855 0.033 0.811 0.855 0.832 0.981 head 0.873 0.019 0.883 0.873 0.878 0.987 shin 0.737 0.029 0.806 0.737 0.77 0.969 thigh 0.794 0.044 0.751 0.794 0.772 0.969 upperarm 0.774 0.032 0.801 0.774 0.787 0.969 waist Weighted Avg. 0.805 0.033 0.806 0.805 0.805 0.975 === Confusion Matrix === a b c d e f g <-- classified as 681 33 20 5 15 57 30 | a = chest 35 661 47 4 15 26 48 | b = forearm 26 28 720 2 11 24 31 | c = head 13 9 13 735 44 17 11 | d = shin 16 20 27 61 608 74 19 | e = thigh 53 18 26 12 42 668 22 | f = upperarm 33 67 35 13 19 23 650 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4709 80.2625 % Incorrectly Classified Instances 1158 19.7375 % Kappa statistic 0.7697 Mean absolute error 0.1018 Root mean squared error 0.2063 Relative absolute error 41.5797 % Root relative squared error 58.9419 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.811 0.042 0.764 0.811 0.787 0.973 chest 0.775 0.037 0.775 0.775 0.775 0.969 forearm 0.848 0.034 0.809 0.848 0.828 0.981 head 0.867 0.017 0.895 0.867 0.881 0.984 shin 0.749 0.027 0.82 0.749 0.783 0.968 thigh 0.801 0.038 0.781 0.801 0.791 0.968 upperarm 0.765 0.036 0.782 0.765 0.774 0.967 waist Weighted Avg. 0.803 0.033 0.804 0.803 0.803 0.973 === Confusion Matrix === a b c d e f g <-- classified as 682 34 26 6 22 47 24 | a = chest 42 648 54 0 6 25 61 | b = forearm 28 33 714 2 12 26 27 | c = head 15 8 13 730 44 12 20 | d = shin 29 19 26 53 618 55 25 | e = thigh 48 14 29 15 39 674 22 | f = upperarm 49 80 21 10 13 24 643 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4730 80.6204 % Incorrectly Classified Instances 1137 19.3796 % Kappa statistic 0.7739 Mean absolute error 0.1008 Root mean squared error 0.2047 Relative absolute error 41.155 % Root relative squared error 58.4893 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.811 0.041 0.769 0.811 0.789 0.972 chest 0.8 0.036 0.788 0.8 0.794 0.971 forearm 0.843 0.032 0.816 0.843 0.829 0.98 head 0.88 0.016 0.9 0.88 0.89 0.989 shin 0.775 0.03 0.809 0.775 0.791 0.972 thigh 0.757 0.039 0.766 0.757 0.762 0.966 upperarm 0.776 0.033 0.799 0.776 0.787 0.972 waist Weighted Avg. 0.806 0.032 0.807 0.806 0.806 0.975 === Confusion Matrix === a b c d e f g <-- classified as 682 38 22 3 14 52 30 | a = chest 37 669 52 3 16 17 42 | b = forearm 23 37 710 2 12 32 26 | c = head 9 4 9 741 49 15 15 | d = shin 28 14 18 43 639 57 26 | e = thigh 54 27 33 22 43 637 25 | f = upperarm 54 60 26 9 17 22 652 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4658 79.3932 % Incorrectly Classified Instances 1209 20.6068 % Kappa statistic 0.7596 Mean absolute error 0.1036 Root mean squared error 0.2088 Relative absolute error 42.2847 % Root relative squared error 59.6569 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.804 0.041 0.767 0.804 0.785 0.974 chest 0.794 0.038 0.775 0.794 0.784 0.972 forearm 0.806 0.035 0.795 0.806 0.8 0.977 head 0.863 0.015 0.904 0.863 0.883 0.985 shin 0.766 0.031 0.802 0.766 0.784 0.97 thigh 0.734 0.043 0.742 0.734 0.738 0.96 upperarm 0.79 0.037 0.779 0.79 0.784 0.967 waist Weighted Avg. 0.794 0.034 0.795 0.794 0.794 0.972 === Confusion Matrix === a b c d e f g <-- classified as 677 52 17 4 19 46 27 | a = chest 32 664 51 1 12 21 55 | b = forearm 28 35 678 3 12 45 40 | c = head 16 10 15 726 42 16 16 | d = shin 26 18 20 45 632 63 21 | e = thigh 58 27 36 17 57 617 29 | f = upperarm 46 51 36 7 14 23 664 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4678 79.7341 % Incorrectly Classified Instances 1189 20.2659 % Kappa statistic 0.7636 Mean absolute error 0.1022 Root mean squared error 0.207 Relative absolute error 41.7191 % Root relative squared error 59.169 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.823 0.04 0.774 0.823 0.798 0.975 chest 0.778 0.039 0.768 0.778 0.773 0.968 forearm 0.83 0.032 0.811 0.83 0.82 0.979 head 0.866 0.013 0.918 0.866 0.891 0.986 shin 0.776 0.033 0.793 0.776 0.784 0.964 thigh 0.748 0.042 0.751 0.748 0.749 0.964 upperarm 0.761 0.037 0.774 0.761 0.767 0.967 waist Weighted Avg. 0.797 0.034 0.798 0.797 0.798 0.972 === Confusion Matrix === a b c d e f g <-- classified as 693 35 12 5 19 55 23 | a = chest 37 650 50 4 12 26 57 | b = forearm 20 44 698 1 14 24 40 | c = head 14 6 18 728 44 17 14 | d = shin 21 17 17 38 640 61 31 | e = thigh 58 30 36 7 59 629 22 | f = upperarm 52 64 30 10 19 26 640 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 4 FOLD: 0 Correctly Classified Instances 4669 79.5671 % Incorrectly Classified Instances 1199 20.4329 % Kappa statistic 0.7616 Mean absolute error 0.1026 Root mean squared error 0.2078 Relative absolute error 41.8888 % Root relative squared error 59.3772 % Total Number of Instances 5868 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.806 0.033 0.803 0.806 0.805 0.974 chest 0.772 0.038 0.772 0.772 0.772 0.969 forearm 0.83 0.039 0.782 0.83 0.805 0.977 head 0.878 0.019 0.887 0.878 0.882 0.986 shin 0.769 0.032 0.799 0.769 0.783 0.97 thigh 0.751 0.038 0.766 0.751 0.759 0.967 upperarm 0.763 0.04 0.762 0.763 0.762 0.965 waist Weighted Avg. 0.796 0.034 0.796 0.796 0.796 0.973 === Confusion Matrix === a b c d e f g <-- classified as 678 44 14 5 14 51 35 | a = chest 28 645 65 2 10 17 69 | b = forearm 30 35 698 3 14 28 33 | c = head 10 7 13 739 44 12 17 | d = shin 15 12 27 54 635 62 21 | e = thigh 38 22 44 20 59 632 26 | f = upperarm 45 70 32 10 19 23 642 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4653 79.2945 % Incorrectly Classified Instances 1215 20.7055 % Kappa statistic 0.7584 Mean absolute error 0.1035 Root mean squared error 0.2089 Relative absolute error 42.2536 % Root relative squared error 59.6946 % Total Number of Instances 5868 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.799 0.038 0.78 0.799 0.789 0.975 chest 0.78 0.038 0.774 0.78 0.777 0.969 forearm 0.825 0.036 0.794 0.825 0.809 0.978 head 0.848 0.019 0.885 0.848 0.866 0.982 shin 0.735 0.031 0.796 0.735 0.764 0.963 thigh 0.791 0.044 0.752 0.791 0.771 0.964 upperarm 0.772 0.037 0.776 0.772 0.774 0.967 waist Weighted Avg. 0.793 0.035 0.794 0.793 0.793 0.971 === Confusion Matrix === a b c d e f g <-- classified as 672 42 18 3 12 57 37 | a = chest 43 652 54 2 9 20 56 | b = forearm 16 44 694 3 21 34 29 | c = head 17 6 16 714 47 24 18 | d = shin 27 18 23 61 607 65 25 | e = thigh 37 22 38 13 44 665 22 | f = upperarm 50 58 31 11 23 19 649 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4646 79.1752 % Incorrectly Classified Instances 1222 20.8248 % Kappa statistic 0.757 Mean absolute error 0.1028 Root mean squared error 0.2085 Relative absolute error 41.9613 % Root relative squared error 59.5722 % Total Number of Instances 5868 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.819 0.038 0.785 0.819 0.802 0.975 chest 0.779 0.04 0.764 0.779 0.771 0.967 forearm 0.807 0.031 0.814 0.807 0.811 0.973 head 0.856 0.018 0.891 0.856 0.873 0.984 shin 0.739 0.031 0.794 0.739 0.766 0.967 thigh 0.753 0.046 0.733 0.753 0.743 0.961 upperarm 0.787 0.04 0.768 0.787 0.777 0.968 waist Weighted Avg. 0.792 0.035 0.793 0.792 0.792 0.971 === Confusion Matrix === a b c d e f g <-- classified as 690 34 20 5 12 58 23 | a = chest 42 651 48 2 12 23 58 | b = forearm 24 52 679 4 12 39 31 | c = head 7 10 15 721 50 20 19 | d = shin 22 22 22 55 610 64 30 | e = thigh 52 18 32 15 52 633 39 | f = upperarm 42 65 18 7 20 27 662 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4661 79.4443 % Incorrectly Classified Instances 1206 20.5557 % Kappa statistic 0.7602 Mean absolute error 0.1033 Root mean squared error 0.2086 Relative absolute error 42.1783 % Root relative squared error 59.599 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.791 0.042 0.761 0.791 0.776 0.968 chest 0.792 0.042 0.76 0.792 0.776 0.973 forearm 0.812 0.036 0.789 0.812 0.8 0.975 head 0.856 0.014 0.911 0.856 0.883 0.988 shin 0.738 0.03 0.802 0.738 0.769 0.965 thigh 0.788 0.04 0.769 0.788 0.779 0.964 upperarm 0.782 0.037 0.779 0.782 0.781 0.968 waist Weighted Avg. 0.794 0.034 0.796 0.794 0.795 0.972 === Confusion Matrix === a b c d e f g <-- classified as 666 57 28 0 12 50 29 | a = chest 32 662 55 3 13 15 56 | b = forearm 35 36 684 1 17 39 30 | c = head 17 6 10 720 58 14 16 | d = shin 25 21 27 45 609 62 36 | e = thigh 58 26 32 10 33 663 19 | f = upperarm 42 63 31 11 17 19 657 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4653 79.308 % Incorrectly Classified Instances 1214 20.692 % Kappa statistic 0.7586 Mean absolute error 0.102 Root mean squared error 0.2067 Relative absolute error 41.6702 % Root relative squared error 59.0813 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.804 0.039 0.774 0.804 0.789 0.975 chest 0.751 0.04 0.756 0.751 0.753 0.965 forearm 0.835 0.037 0.791 0.835 0.812 0.979 head 0.87 0.019 0.887 0.87 0.879 0.987 shin 0.748 0.03 0.803 0.748 0.775 0.969 thigh 0.781 0.038 0.773 0.781 0.777 0.97 upperarm 0.761 0.038 0.771 0.761 0.766 0.969 waist Weighted Avg. 0.793 0.034 0.794 0.793 0.793 0.973 === Confusion Matrix === a b c d e f g <-- classified as 677 46 23 8 12 50 26 | a = chest 46 628 57 5 16 25 59 | b = forearm 29 31 703 3 14 21 41 | c = head 9 14 11 732 41 13 21 | d = shin 22 19 21 56 617 62 28 | e = thigh 43 20 46 12 48 657 15 | f = upperarm 49 73 28 9 20 22 639 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4727 80.5693 % Incorrectly Classified Instances 1140 19.4307 % Kappa statistic 0.7733 Mean absolute error 0.1013 Root mean squared error 0.2058 Relative absolute error 41.3697 % Root relative squared error 58.7991 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.818 0.039 0.777 0.818 0.797 0.972 chest 0.79 0.034 0.795 0.79 0.793 0.969 forearm 0.85 0.035 0.803 0.85 0.826 0.981 head 0.868 0.017 0.894 0.868 0.881 0.983 shin 0.761 0.026 0.825 0.761 0.792 0.969 thigh 0.771 0.039 0.767 0.771 0.769 0.964 upperarm 0.781 0.036 0.785 0.781 0.783 0.967 waist Weighted Avg. 0.806 0.032 0.807 0.806 0.806 0.972 === Confusion Matrix === a b c d e f g <-- classified as 688 38 13 6 21 42 33 | a = chest 31 661 55 2 11 24 53 | b = forearm 23 35 716 2 11 29 26 | c = head 17 7 15 730 34 23 15 | d = shin 25 18 16 52 628 50 36 | e = thigh 66 16 38 16 40 648 17 | f = upperarm 35 56 39 9 16 29 656 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4724 80.5182 % Incorrectly Classified Instances 1143 19.4818 % Kappa statistic 0.7727 Mean absolute error 0.1003 Root mean squared error 0.2044 Relative absolute error 40.9657 % Root relative squared error 58.405 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.809 0.037 0.784 0.809 0.796 0.974 chest 0.793 0.042 0.761 0.793 0.777 0.966 forearm 0.847 0.031 0.821 0.847 0.834 0.982 head 0.872 0.017 0.894 0.872 0.883 0.987 shin 0.772 0.028 0.819 0.772 0.795 0.971 thigh 0.774 0.037 0.779 0.774 0.776 0.968 upperarm 0.769 0.036 0.783 0.769 0.776 0.97 waist Weighted Avg. 0.805 0.032 0.806 0.805 0.805 0.974 === Confusion Matrix === a b c d e f g <-- classified as 680 46 21 5 15 46 28 | a = chest 31 664 50 2 9 27 54 | b = forearm 26 43 713 0 8 20 32 | c = head 5 10 9 733 44 23 17 | d = shin 24 16 18 50 637 45 35 | e = thigh 56 20 33 16 52 651 13 | f = upperarm 45 74 24 14 13 24 646 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4716 80.3818 % Incorrectly Classified Instances 1151 19.6182 % Kappa statistic 0.7711 Mean absolute error 0.1028 Root mean squared error 0.2064 Relative absolute error 41.9949 % Root relative squared error 58.9892 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.823 0.036 0.794 0.823 0.808 0.978 chest 0.782 0.032 0.802 0.782 0.792 0.971 forearm 0.822 0.031 0.815 0.822 0.818 0.978 head 0.866 0.015 0.905 0.866 0.885 0.988 shin 0.776 0.036 0.777 0.776 0.776 0.965 thigh 0.776 0.04 0.764 0.776 0.77 0.971 upperarm 0.781 0.038 0.774 0.781 0.778 0.967 waist Weighted Avg. 0.804 0.033 0.805 0.804 0.804 0.974 === Confusion Matrix === a b c d e f g <-- classified as 692 32 11 5 19 46 36 | a = chest 33 654 57 1 10 22 59 | b = forearm 27 40 692 4 13 31 35 | c = head 13 6 10 728 52 16 16 | d = shin 26 13 26 41 640 53 26 | e = thigh 46 19 26 14 63 653 20 | f = upperarm 34 51 27 11 27 34 657 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4766 81.234 % Incorrectly Classified Instances 1101 18.766 % Kappa statistic 0.7811 Mean absolute error 0.1015 Root mean squared error 0.2054 Relative absolute error 41.4525 % Root relative squared error 58.6897 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.81 0.031 0.812 0.81 0.811 0.973 chest 0.786 0.033 0.8 0.786 0.793 0.969 forearm 0.852 0.032 0.818 0.852 0.835 0.983 head 0.876 0.017 0.897 0.876 0.886 0.986 shin 0.759 0.025 0.832 0.759 0.794 0.969 thigh 0.794 0.041 0.765 0.794 0.779 0.967 upperarm 0.809 0.041 0.769 0.809 0.788 0.97 waist Weighted Avg. 0.812 0.031 0.813 0.812 0.812 0.974 === Confusion Matrix === a b c d e f g <-- classified as 681 46 15 3 10 44 42 | a = chest 26 657 57 5 5 24 62 | b = forearm 21 26 717 2 23 26 27 | c = head 12 6 13 737 38 19 16 | d = shin 18 18 14 50 626 69 30 | e = thigh 46 24 23 14 39 668 27 | f = upperarm 35 44 37 11 11 23 680 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4720 80.45 % Incorrectly Classified Instances 1147 19.55 % Kappa statistic 0.7719 Mean absolute error 0.1019 Root mean squared error 0.2067 Relative absolute error 41.6239 % Root relative squared error 59.0737 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.82 0.039 0.778 0.82 0.799 0.976 chest 0.787 0.034 0.792 0.787 0.789 0.971 forearm 0.843 0.032 0.814 0.843 0.828 0.981 head 0.872 0.019 0.883 0.872 0.877 0.985 shin 0.771 0.031 0.801 0.771 0.786 0.966 thigh 0.759 0.04 0.763 0.759 0.761 0.965 upperarm 0.779 0.032 0.803 0.779 0.791 0.97 waist Weighted Avg. 0.804 0.033 0.805 0.804 0.804 0.974 === Confusion Matrix === a b c d e f g <-- classified as 690 39 14 6 15 49 28 | a = chest 35 658 62 2 15 20 44 | b = forearm 26 30 709 3 9 30 34 | c = head 14 5 10 733 45 19 15 | d = shin 19 14 17 55 636 61 23 | e = thigh 67 14 35 19 51 639 17 | f = upperarm 36 71 24 12 23 20 655 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 5 FOLD: 0 Correctly Classified Instances 4666 79.516 % Incorrectly Classified Instances 1202 20.484 % Kappa statistic 0.761 Mean absolute error 0.1036 Root mean squared error 0.209 Relative absolute error 42.3005 % Root relative squared error 59.7238 % Total Number of Instances 5868 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.825 0.039 0.78 0.825 0.802 0.976 chest 0.777 0.04 0.765 0.777 0.771 0.966 forearm 0.81 0.034 0.8 0.81 0.805 0.978 head 0.861 0.015 0.907 0.861 0.884 0.982 shin 0.745 0.032 0.793 0.745 0.768 0.964 thigh 0.759 0.041 0.758 0.759 0.758 0.964 upperarm 0.788 0.039 0.771 0.788 0.78 0.969 waist Weighted Avg. 0.795 0.034 0.796 0.795 0.795 0.971 === Confusion Matrix === a b c d e f g <-- classified as 694 40 14 2 11 48 32 | a = chest 40 650 54 5 13 19 56 | b = forearm 20 50 681 5 19 33 33 | c = head 18 12 11 725 44 17 15 | d = shin 23 17 20 39 615 72 39 | e = thigh 54 16 42 12 57 638 22 | f = upperarm 41 65 29 11 17 15 663 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4622 78.7662 % Incorrectly Classified Instances 1246 21.2338 % Kappa statistic 0.7523 Mean absolute error 0.1053 Root mean squared error 0.2104 Relative absolute error 42.9775 % Root relative squared error 60.1339 % Total Number of Instances 5868 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.801 0.039 0.774 0.801 0.787 0.973 chest 0.78 0.039 0.77 0.78 0.775 0.968 forearm 0.845 0.035 0.803 0.845 0.824 0.98 head 0.856 0.022 0.865 0.856 0.86 0.985 shin 0.741 0.034 0.781 0.741 0.76 0.966 thigh 0.746 0.041 0.754 0.746 0.75 0.96 upperarm 0.743 0.038 0.766 0.743 0.754 0.964 waist Weighted Avg. 0.788 0.035 0.788 0.788 0.787 0.971 === Confusion Matrix === a b c d e f g <-- classified as 674 39 16 7 19 54 32 | a = chest 36 653 63 6 11 15 53 | b = forearm 15 41 711 3 11 26 34 | c = head 14 8 10 721 54 17 18 | d = shin 27 14 23 60 611 56 34 | e = thigh 51 27 39 23 54 627 20 | f = upperarm 54 66 23 14 22 37 625 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4672 79.6183 % Incorrectly Classified Instances 1196 20.3817 % Kappa statistic 0.7622 Mean absolute error 0.1026 Root mean squared error 0.2079 Relative absolute error 41.8937 % Root relative squared error 59.409 % Total Number of Instances 5868 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.803 0.036 0.787 0.803 0.795 0.976 chest 0.795 0.037 0.782 0.795 0.789 0.969 forearm 0.844 0.036 0.795 0.844 0.819 0.981 head 0.834 0.018 0.885 0.834 0.859 0.983 shin 0.741 0.035 0.778 0.741 0.759 0.966 thigh 0.783 0.045 0.745 0.783 0.763 0.967 upperarm 0.773 0.031 0.808 0.773 0.79 0.968 waist Weighted Avg. 0.796 0.034 0.797 0.796 0.796 0.973 === Confusion Matrix === a b c d e f g <-- classified as 676 47 17 5 12 54 31 | a = chest 33 665 60 3 11 23 41 | b = forearm 25 36 710 1 12 37 20 | c = head 10 10 18 701 63 22 17 | d = shin 24 14 24 57 611 69 26 | e = thigh 49 17 32 12 54 659 19 | f = upperarm 42 61 32 13 22 21 650 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4752 80.9954 % Incorrectly Classified Instances 1115 19.0046 % Kappa statistic 0.7783 Mean absolute error 0.1002 Root mean squared error 0.2041 Relative absolute error 40.9126 % Root relative squared error 58.3129 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.824 0.038 0.782 0.824 0.803 0.975 chest 0.789 0.032 0.806 0.789 0.798 0.97 forearm 0.843 0.029 0.829 0.843 0.836 0.982 head 0.885 0.017 0.9 0.885 0.892 0.99 shin 0.765 0.028 0.816 0.765 0.79 0.97 thigh 0.792 0.043 0.753 0.792 0.772 0.967 upperarm 0.77 0.035 0.788 0.77 0.779 0.969 waist Weighted Avg. 0.81 0.032 0.811 0.81 0.81 0.975 === Confusion Matrix === a b c d e f g <-- classified as 694 30 18 6 12 49 33 | a = chest 37 660 41 3 11 26 58 | b = forearm 30 22 710 2 14 36 28 | c = head 11 6 12 744 40 14 14 | d = shin 21 16 17 52 631 63 25 | e = thigh 53 20 32 8 46 666 16 | f = upperarm 41 65 26 12 19 30 647 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4698 80.075 % Incorrectly Classified Instances 1169 19.925 % Kappa statistic 0.7675 Mean absolute error 0.1026 Root mean squared error 0.2078 Relative absolute error 41.8832 % Root relative squared error 59.3702 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.802 0.037 0.782 0.802 0.792 0.972 chest 0.776 0.037 0.778 0.776 0.777 0.97 forearm 0.854 0.03 0.825 0.854 0.839 0.979 head 0.873 0.021 0.873 0.873 0.873 0.985 shin 0.744 0.03 0.803 0.744 0.772 0.967 thigh 0.76 0.038 0.768 0.76 0.764 0.962 upperarm 0.795 0.038 0.777 0.795 0.786 0.968 waist Weighted Avg. 0.801 0.033 0.801 0.801 0.801 0.972 === Confusion Matrix === a b c d e f g <-- classified as 675 57 11 8 10 52 29 | a = chest 28 649 52 5 12 22 68 | b = forearm 26 29 719 2 12 24 30 | c = head 11 3 11 734 52 13 17 | d = shin 23 15 21 64 614 62 26 | e = thigh 55 21 36 20 48 639 22 | f = upperarm 45 60 22 8 17 20 668 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4726 80.5522 % Incorrectly Classified Instances 1141 19.4478 % Kappa statistic 0.7731 Mean absolute error 0.1004 Root mean squared error 0.2047 Relative absolute error 41.0146 % Root relative squared error 58.5109 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.832 0.039 0.78 0.832 0.806 0.975 chest 0.78 0.033 0.799 0.78 0.789 0.971 forearm 0.818 0.034 0.802 0.818 0.81 0.976 head 0.873 0.017 0.898 0.873 0.885 0.985 shin 0.755 0.03 0.806 0.755 0.78 0.964 thigh 0.773 0.039 0.768 0.773 0.771 0.97 upperarm 0.806 0.036 0.789 0.806 0.797 0.97 waist Weighted Avg. 0.806 0.032 0.806 0.806 0.806 0.973 === Confusion Matrix === a b c d e f g <-- classified as 700 44 16 5 16 33 27 | a = chest 29 652 66 4 11 21 53 | b = forearm 34 39 689 4 11 34 31 | c = head 13 5 11 734 34 27 17 | d = shin 25 13 21 50 624 62 31 | e = thigh 47 15 32 10 65 650 22 | f = upperarm 49 48 24 10 13 19 677 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4715 80.3648 % Incorrectly Classified Instances 1152 19.6352 % Kappa statistic 0.7709 Mean absolute error 0.1004 Root mean squared error 0.2046 Relative absolute error 40.9965 % Root relative squared error 58.4793 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.803 0.035 0.794 0.803 0.798 0.976 chest 0.801 0.044 0.751 0.801 0.775 0.967 forearm 0.833 0.032 0.812 0.833 0.822 0.979 head 0.88 0.017 0.897 0.88 0.888 0.986 shin 0.762 0.027 0.822 0.762 0.791 0.972 thigh 0.788 0.04 0.768 0.788 0.778 0.97 upperarm 0.758 0.034 0.787 0.758 0.773 0.966 waist Weighted Avg. 0.804 0.033 0.805 0.804 0.804 0.974 === Confusion Matrix === a b c d e f g <-- classified as 675 48 19 4 8 51 36 | a = chest 34 670 46 2 12 28 44 | b = forearm 22 52 701 2 13 27 25 | c = head 12 8 11 740 41 14 15 | d = shin 25 20 17 54 629 53 28 | e = thigh 43 13 40 14 44 663 24 | f = upperarm 39 81 29 9 18 27 637 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4665 79.5125 % Incorrectly Classified Instances 1202 20.4875 % Kappa statistic 0.761 Mean absolute error 0.1029 Root mean squared error 0.208 Relative absolute error 42.0089 % Root relative squared error 59.4422 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.792 0.037 0.78 0.792 0.786 0.973 chest 0.774 0.04 0.761 0.774 0.767 0.967 forearm 0.837 0.033 0.811 0.837 0.824 0.979 head 0.838 0.016 0.899 0.838 0.868 0.981 shin 0.776 0.034 0.788 0.776 0.782 0.968 thigh 0.773 0.042 0.757 0.773 0.765 0.964 upperarm 0.775 0.037 0.777 0.775 0.776 0.968 waist Weighted Avg. 0.795 0.034 0.796 0.795 0.795 0.971 === Confusion Matrix === a b c d e f g <-- classified as 666 45 20 2 17 57 34 | a = chest 47 647 47 0 19 20 56 | b = forearm 25 38 705 1 16 24 33 | c = head 12 8 17 705 55 27 17 | d = shin 14 15 23 52 640 60 21 | e = thigh 44 23 35 19 44 650 26 | f = upperarm 46 74 22 5 21 21 652 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4730 80.6204 % Incorrectly Classified Instances 1137 19.3796 % Kappa statistic 0.7739 Mean absolute error 0.1018 Root mean squared error 0.206 Relative absolute error 41.5521 % Root relative squared error 58.8562 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.8 0.035 0.795 0.8 0.797 0.975 chest 0.797 0.034 0.798 0.797 0.797 0.971 forearm 0.841 0.039 0.782 0.841 0.811 0.976 head 0.882 0.018 0.891 0.882 0.886 0.988 shin 0.761 0.029 0.812 0.761 0.786 0.967 thigh 0.776 0.037 0.78 0.776 0.778 0.968 upperarm 0.785 0.035 0.789 0.785 0.787 0.967 waist Weighted Avg. 0.806 0.032 0.807 0.806 0.806 0.973 === Confusion Matrix === a b c d e f g <-- classified as 673 34 29 3 15 57 30 | a = chest 24 666 64 2 12 18 50 | b = forearm 24 36 708 1 15 26 32 | c = head 11 9 10 742 43 12 14 | d = shin 26 14 24 51 628 52 30 | e = thigh 52 15 43 19 38 653 21 | f = upperarm 37 61 27 15 22 19 660 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4689 79.9216 % Incorrectly Classified Instances 1178 20.0784 % Kappa statistic 0.7657 Mean absolute error 0.1024 Root mean squared error 0.2065 Relative absolute error 41.8017 % Root relative squared error 59.0121 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.804 0.039 0.775 0.804 0.789 0.973 chest 0.778 0.034 0.791 0.778 0.784 0.97 forearm 0.82 0.036 0.792 0.82 0.806 0.98 head 0.886 0.015 0.909 0.886 0.897 0.989 shin 0.75 0.032 0.792 0.75 0.77 0.969 thigh 0.774 0.04 0.762 0.774 0.768 0.965 upperarm 0.781 0.037 0.778 0.781 0.779 0.966 waist Weighted Avg. 0.799 0.033 0.8 0.799 0.799 0.973 === Confusion Matrix === a b c d e f g <-- classified as 676 36 21 6 17 56 29 | a = chest 37 650 59 1 17 16 56 | b = forearm 30 40 690 4 14 27 36 | c = head 8 3 14 746 38 20 13 | d = shin 26 18 25 46 619 59 32 | e = thigh 50 18 32 8 60 651 22 | f = upperarm 45 57 30 10 17 25 657 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 6 FOLD: 0 Correctly Classified Instances 4648 79.2093 % Incorrectly Classified Instances 1220 20.7907 % Kappa statistic 0.7574 Mean absolute error 0.103 Root mean squared error 0.2091 Relative absolute error 42.0671 % Root relative squared error 59.7637 % Total Number of Instances 5868 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.803 0.04 0.771 0.803 0.787 0.971 chest 0.772 0.042 0.755 0.772 0.763 0.963 forearm 0.833 0.036 0.797 0.833 0.814 0.978 head 0.87 0.018 0.889 0.87 0.88 0.987 shin 0.713 0.026 0.819 0.713 0.762 0.962 thigh 0.784 0.045 0.747 0.784 0.765 0.964 upperarm 0.769 0.037 0.776 0.769 0.773 0.964 waist Weighted Avg. 0.792 0.035 0.793 0.792 0.792 0.97 === Confusion Matrix === a b c d e f g <-- classified as 676 53 26 7 11 51 18 | a = chest 43 645 58 3 11 22 54 | b = forearm 20 41 701 3 14 30 33 | c = head 10 11 15 732 35 15 23 | d = shin 37 18 26 49 588 75 32 | e = thigh 48 18 33 14 43 660 26 | f = upperarm 43 68 21 15 16 31 646 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4655 79.3286 % Incorrectly Classified Instances 1213 20.6714 % Kappa statistic 0.7588 Mean absolute error 0.104 Root mean squared error 0.21 Relative absolute error 42.4632 % Root relative squared error 60.0203 % Total Number of Instances 5868 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.815 0.043 0.759 0.815 0.786 0.974 chest 0.746 0.044 0.739 0.746 0.743 0.963 forearm 0.836 0.036 0.795 0.836 0.815 0.978 head 0.879 0.015 0.906 0.879 0.892 0.986 shin 0.75 0.028 0.812 0.75 0.78 0.964 thigh 0.775 0.039 0.771 0.775 0.773 0.963 upperarm 0.75 0.036 0.779 0.75 0.764 0.964 waist Weighted Avg. 0.793 0.034 0.794 0.793 0.793 0.97 === Confusion Matrix === a b c d e f g <-- classified as 686 50 16 4 6 51 29 | a = chest 48 624 64 1 17 24 58 | b = forearm 19 41 704 1 11 36 30 | c = head 13 9 8 740 47 13 12 | d = shin 34 25 22 52 619 46 27 | e = thigh 54 16 43 9 44 652 23 | f = upperarm 50 79 29 10 18 24 630 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4719 80.4192 % Incorrectly Classified Instances 1149 19.5808 % Kappa statistic 0.7716 Mean absolute error 0.103 Root mean squared error 0.2082 Relative absolute error 42.0737 % Root relative squared error 59.4944 % Total Number of Instances 5868 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.816 0.037 0.787 0.816 0.801 0.973 chest 0.788 0.034 0.795 0.788 0.792 0.969 forearm 0.824 0.033 0.809 0.824 0.816 0.976 head 0.867 0.018 0.891 0.867 0.879 0.986 shin 0.777 0.03 0.81 0.777 0.793 0.969 thigh 0.78 0.041 0.763 0.78 0.771 0.963 upperarm 0.776 0.037 0.778 0.776 0.777 0.965 waist Weighted Avg. 0.804 0.033 0.805 0.804 0.804 0.972 === Confusion Matrix === a b c d e f g <-- classified as 687 35 21 7 21 46 25 | a = chest 34 659 46 4 10 20 63 | b = forearm 22 35 693 5 21 36 29 | c = head 15 4 15 730 44 15 19 | d = shin 23 16 25 40 641 58 22 | e = thigh 45 26 30 21 35 656 28 | f = upperarm 47 54 27 12 19 29 653 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4709 80.2625 % Incorrectly Classified Instances 1158 19.7375 % Kappa statistic 0.7697 Mean absolute error 0.1019 Root mean squared error 0.2065 Relative absolute error 41.6143 % Root relative squared error 59.0132 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.788 0.036 0.786 0.788 0.787 0.973 chest 0.803 0.039 0.776 0.803 0.789 0.969 forearm 0.855 0.034 0.808 0.855 0.831 0.982 head 0.852 0.018 0.891 0.852 0.871 0.983 shin 0.779 0.031 0.805 0.779 0.792 0.97 thigh 0.778 0.039 0.77 0.778 0.774 0.963 upperarm 0.763 0.035 0.787 0.763 0.775 0.969 waist Weighted Avg. 0.803 0.033 0.803 0.803 0.803 0.973 === Confusion Matrix === a b c d e f g <-- classified as 663 52 16 4 15 56 35 | a = chest 29 671 56 2 9 18 51 | b = forearm 29 39 719 3 11 15 25 | c = head 12 6 14 717 52 20 21 | d = shin 19 14 20 44 643 59 26 | e = thigh 53 16 39 17 46 654 16 | f = upperarm 38 67 26 18 23 27 642 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4688 79.9046 % Incorrectly Classified Instances 1179 20.0954 % Kappa statistic 0.7655 Mean absolute error 0.1026 Root mean squared error 0.2074 Relative absolute error 41.8981 % Root relative squared error 59.2818 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.797 0.039 0.775 0.797 0.785 0.974 chest 0.777 0.036 0.78 0.777 0.778 0.971 forearm 0.829 0.034 0.803 0.829 0.816 0.978 head 0.872 0.016 0.9 0.872 0.886 0.989 shin 0.76 0.033 0.792 0.76 0.776 0.968 thigh 0.774 0.039 0.767 0.774 0.77 0.964 upperarm 0.785 0.037 0.78 0.785 0.782 0.965 waist Weighted Avg. 0.799 0.033 0.8 0.799 0.799 0.973 === Confusion Matrix === a b c d e f g <-- classified as 670 39 13 3 12 64 40 | a = chest 40 650 60 2 12 27 46 | b = forearm 33 36 697 3 12 27 33 | c = head 11 6 12 733 55 11 13 | d = shin 23 19 24 51 627 50 31 | e = thigh 46 19 31 13 58 651 23 | f = upperarm 42 64 31 9 16 19 660 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4710 80.2795 % Incorrectly Classified Instances 1157 19.7205 % Kappa statistic 0.7699 Mean absolute error 0.1015 Root mean squared error 0.2058 Relative absolute error 41.462 % Root relative squared error 58.8184 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.823 0.034 0.804 0.823 0.813 0.974 chest 0.806 0.039 0.773 0.806 0.789 0.974 forearm 0.832 0.032 0.813 0.832 0.823 0.98 head 0.859 0.018 0.89 0.859 0.874 0.985 shin 0.754 0.032 0.796 0.754 0.775 0.965 thigh 0.78 0.042 0.758 0.78 0.769 0.966 upperarm 0.765 0.034 0.789 0.765 0.777 0.968 waist Weighted Avg. 0.803 0.033 0.803 0.803 0.803 0.973 === Confusion Matrix === a b c d e f g <-- classified as 692 39 16 4 12 54 24 | a = chest 31 675 50 3 12 21 45 | b = forearm 24 43 700 3 13 29 29 | c = head 10 13 9 722 48 21 18 | d = shin 19 18 18 59 622 54 35 | e = thigh 50 21 30 8 55 656 21 | f = upperarm 35 64 38 12 19 30 643 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4700 80.1091 % Incorrectly Classified Instances 1167 19.8909 % Kappa statistic 0.7679 Mean absolute error 0.1012 Root mean squared error 0.2052 Relative absolute error 41.3175 % Root relative squared error 58.6342 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.828 0.036 0.794 0.828 0.81 0.977 chest 0.78 0.036 0.784 0.78 0.782 0.97 forearm 0.828 0.034 0.803 0.828 0.815 0.979 head 0.861 0.017 0.893 0.861 0.877 0.984 shin 0.747 0.032 0.795 0.747 0.77 0.968 thigh 0.779 0.04 0.764 0.779 0.771 0.968 upperarm 0.785 0.037 0.779 0.785 0.782 0.969 waist Weighted Avg. 0.801 0.033 0.802 0.801 0.801 0.974 === Confusion Matrix === a b c d e f g <-- classified as 696 31 20 7 18 40 29 | a = chest 28 652 55 4 16 18 63 | b = forearm 29 31 697 2 12 35 36 | c = head 15 11 17 724 42 16 16 | d = shin 20 19 18 51 616 75 26 | e = thigh 43 24 28 15 59 655 17 | f = upperarm 46 64 33 8 12 18 660 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4721 80.467 % Incorrectly Classified Instances 1146 19.533 % Kappa statistic 0.7721 Mean absolute error 0.1015 Root mean squared error 0.2057 Relative absolute error 41.4563 % Root relative squared error 58.7841 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.794 0.038 0.779 0.794 0.786 0.974 chest 0.787 0.037 0.779 0.787 0.783 0.972 forearm 0.838 0.035 0.802 0.838 0.82 0.98 head 0.891 0.022 0.871 0.891 0.881 0.986 shin 0.782 0.028 0.821 0.782 0.801 0.97 thigh 0.762 0.036 0.779 0.762 0.77 0.967 upperarm 0.778 0.032 0.802 0.778 0.79 0.968 waist Weighted Avg. 0.805 0.033 0.805 0.805 0.804 0.974 === Confusion Matrix === a b c d e f g <-- classified as 668 47 27 4 19 46 30 | a = chest 27 658 58 6 11 24 52 | b = forearm 37 36 706 4 9 20 30 | c = head 16 7 10 749 35 16 8 | d = shin 11 12 15 62 645 54 26 | e = thigh 56 23 39 21 46 641 15 | f = upperarm 43 62 25 14 21 22 654 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4699 80.092 % Incorrectly Classified Instances 1168 19.908 % Kappa statistic 0.7677 Mean absolute error 0.1021 Root mean squared error 0.2065 Relative absolute error 41.6736 % Root relative squared error 59.0109 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.806 0.037 0.787 0.806 0.796 0.975 chest 0.782 0.033 0.799 0.782 0.79 0.97 forearm 0.847 0.039 0.786 0.847 0.815 0.978 head 0.863 0.015 0.904 0.863 0.883 0.986 shin 0.751 0.03 0.804 0.751 0.776 0.966 thigh 0.765 0.04 0.761 0.765 0.763 0.968 upperarm 0.792 0.039 0.773 0.792 0.782 0.97 waist Weighted Avg. 0.801 0.033 0.802 0.801 0.801 0.973 === Confusion Matrix === a b c d e f g <-- classified as 678 35 21 5 11 57 34 | a = chest 37 654 58 2 9 17 59 | b = forearm 23 33 713 4 15 25 29 | c = head 8 4 9 726 47 26 21 | d = shin 23 19 29 52 620 56 27 | e = thigh 56 13 46 9 49 643 25 | f = upperarm 37 61 31 5 20 21 665 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4740 80.7909 % Incorrectly Classified Instances 1127 19.2091 % Kappa statistic 0.7759 Mean absolute error 0.1005 Root mean squared error 0.2035 Relative absolute error 41.0345 % Root relative squared error 58.1608 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.809 0.031 0.812 0.809 0.81 0.978 chest 0.794 0.037 0.783 0.794 0.789 0.972 forearm 0.829 0.034 0.805 0.829 0.817 0.979 head 0.866 0.019 0.882 0.866 0.874 0.986 shin 0.752 0.029 0.811 0.752 0.78 0.972 thigh 0.799 0.039 0.776 0.799 0.787 0.971 upperarm 0.806 0.036 0.789 0.806 0.797 0.975 waist Weighted Avg. 0.808 0.032 0.808 0.808 0.808 0.976 === Confusion Matrix === a b c d e f g <-- classified as 680 46 18 7 15 46 29 | a = chest 25 664 62 1 15 16 53 | b = forearm 19 47 698 2 14 37 25 | c = head 8 2 19 728 46 19 19 | d = shin 27 12 20 56 621 59 31 | e = thigh 42 20 30 16 37 672 24 | f = upperarm 36 57 20 15 18 17 677 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 7 FOLD: 0 Correctly Classified Instances 4714 80.334 % Incorrectly Classified Instances 1154 19.666 % Kappa statistic 0.7706 Mean absolute error 0.1032 Root mean squared error 0.2076 Relative absolute error 42.1284 % Root relative squared error 59.3362 % Total Number of Instances 5868 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.793 0.032 0.805 0.793 0.799 0.971 chest 0.8 0.039 0.773 0.8 0.786 0.969 forearm 0.847 0.032 0.815 0.847 0.83 0.98 head 0.862 0.017 0.897 0.862 0.879 0.983 shin 0.77 0.029 0.813 0.77 0.791 0.966 thigh 0.785 0.042 0.759 0.785 0.772 0.964 upperarm 0.765 0.039 0.767 0.765 0.766 0.965 waist Weighted Avg. 0.803 0.033 0.804 0.803 0.804 0.971 === Confusion Matrix === a b c d e f g <-- classified as 668 46 13 7 12 60 36 | a = chest 31 670 45 5 13 21 52 | b = forearm 23 38 712 2 13 23 30 | c = head 8 11 13 726 50 12 22 | d = shin 18 18 19 40 635 61 34 | e = thigh 46 20 43 16 35 660 21 | f = upperarm 36 64 29 13 23 32 643 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4732 80.6408 % Incorrectly Classified Instances 1136 19.3592 % Kappa statistic 0.7741 Mean absolute error 0.1018 Root mean squared error 0.2055 Relative absolute error 41.5573 % Root relative squared error 58.7321 % Total Number of Instances 5868 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.803 0.036 0.787 0.803 0.795 0.974 chest 0.792 0.037 0.779 0.792 0.786 0.972 forearm 0.842 0.029 0.828 0.842 0.835 0.982 head 0.884 0.017 0.896 0.884 0.89 0.988 shin 0.775 0.031 0.806 0.775 0.79 0.968 thigh 0.784 0.039 0.773 0.784 0.778 0.969 upperarm 0.765 0.037 0.778 0.765 0.771 0.966 waist Weighted Avg. 0.806 0.032 0.807 0.806 0.806 0.974 === Confusion Matrix === a b c d e f g <-- classified as 676 52 17 4 9 55 29 | a = chest 29 663 52 5 12 16 60 | b = forearm 23 34 708 3 15 33 25 | c = head 14 7 7 744 40 12 18 | d = shin 27 17 10 47 639 53 32 | e = thigh 49 17 31 16 49 659 20 | f = upperarm 41 61 30 11 29 25 643 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4694 79.9932 % Incorrectly Classified Instances 1174 20.0068 % Kappa statistic 0.7666 Mean absolute error 0.1015 Root mean squared error 0.2058 Relative absolute error 41.4573 % Root relative squared error 58.8009 % Total Number of Instances 5868 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.816 0.035 0.794 0.816 0.805 0.978 chest 0.77 0.038 0.769 0.77 0.77 0.97 forearm 0.82 0.036 0.791 0.82 0.806 0.977 head 0.857 0.017 0.896 0.857 0.876 0.985 shin 0.763 0.031 0.804 0.763 0.783 0.969 thigh 0.786 0.038 0.774 0.786 0.78 0.971 upperarm 0.786 0.038 0.776 0.786 0.781 0.966 waist Weighted Avg. 0.8 0.033 0.801 0.8 0.8 0.974 === Confusion Matrix === a b c d e f g <-- classified as 687 48 15 1 14 49 28 | a = chest 22 644 69 2 18 18 63 | b = forearm 31 45 690 2 12 27 34 | c = head 13 2 16 722 48 25 16 | d = shin 19 15 26 56 630 53 27 | e = thigh 47 20 29 15 47 661 22 | f = upperarm 46 63 27 8 15 21 660 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4681 79.7852 % Incorrectly Classified Instances 1186 20.2148 % Kappa statistic 0.7642 Mean absolute error 0.1026 Root mean squared error 0.2079 Relative absolute error 41.9058 % Root relative squared error 59.4198 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.81 0.039 0.778 0.81 0.794 0.974 chest 0.773 0.038 0.773 0.773 0.773 0.968 forearm 0.817 0.032 0.811 0.817 0.814 0.978 head 0.86 0.018 0.891 0.86 0.875 0.985 shin 0.764 0.032 0.798 0.764 0.78 0.971 thigh 0.775 0.041 0.758 0.775 0.767 0.963 upperarm 0.786 0.037 0.78 0.786 0.783 0.967 waist Weighted Avg. 0.798 0.034 0.799 0.798 0.798 0.972 === Confusion Matrix === a b c d e f g <-- classified as 681 44 14 6 10 56 30 | a = chest 39 646 49 3 16 28 55 | b = forearm 34 40 688 3 14 24 39 | c = head 13 7 15 723 45 19 19 | d = shin 16 17 23 54 631 60 25 | e = thigh 48 21 34 16 52 652 18 | f = upperarm 44 61 25 6 23 21 660 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4687 79.8875 % Incorrectly Classified Instances 1180 20.1125 % Kappa statistic 0.7653 Mean absolute error 0.1025 Root mean squared error 0.208 Relative absolute error 41.8653 % Root relative squared error 59.4291 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.828 0.044 0.757 0.828 0.791 0.974 chest 0.764 0.031 0.805 0.764 0.784 0.963 forearm 0.842 0.037 0.792 0.842 0.816 0.978 head 0.876 0.017 0.897 0.876 0.886 0.984 shin 0.745 0.029 0.81 0.745 0.777 0.966 thigh 0.761 0.041 0.755 0.761 0.758 0.964 upperarm 0.774 0.036 0.784 0.774 0.779 0.966 waist Weighted Avg. 0.799 0.034 0.8 0.799 0.799 0.971 === Confusion Matrix === a b c d e f g <-- classified as 696 27 20 2 15 52 29 | a = chest 50 639 55 6 6 27 53 | b = forearm 28 31 709 5 13 27 29 | c = head 14 8 12 737 43 13 14 | d = shin 24 15 30 49 615 64 28 | e = thigh 63 18 32 10 52 640 26 | f = upperarm 44 56 37 13 15 25 651 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4640 79.0864 % Incorrectly Classified Instances 1227 20.9136 % Kappa statistic 0.756 Mean absolute error 0.1037 Root mean squared error 0.209 Relative absolute error 42.3479 % Root relative squared error 59.7369 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.782 0.039 0.772 0.782 0.777 0.97 chest 0.78 0.04 0.766 0.78 0.773 0.971 forearm 0.83 0.037 0.79 0.83 0.809 0.976 head 0.854 0.019 0.885 0.854 0.869 0.985 shin 0.738 0.032 0.79 0.738 0.763 0.965 thigh 0.775 0.046 0.74 0.775 0.757 0.964 upperarm 0.775 0.033 0.799 0.775 0.787 0.972 waist Weighted Avg. 0.791 0.035 0.792 0.791 0.791 0.972 === Confusion Matrix === a b c d e f g <-- classified as 658 47 24 6 22 63 21 | a = chest 43 652 65 2 9 21 44 | b = forearm 28 37 699 1 12 33 32 | c = head 7 12 9 718 55 26 14 | d = shin 29 16 26 56 609 58 31 | e = thigh 51 20 33 16 47 652 22 | f = upperarm 36 67 29 12 17 28 652 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4695 80.0239 % Incorrectly Classified Instances 1172 19.9761 % Kappa statistic 0.7669 Mean absolute error 0.1026 Root mean squared error 0.2073 Relative absolute error 41.8941 % Root relative squared error 59.2433 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.822 0.04 0.776 0.822 0.798 0.973 chest 0.763 0.031 0.802 0.763 0.782 0.968 forearm 0.83 0.035 0.8 0.83 0.815 0.977 head 0.875 0.016 0.902 0.875 0.888 0.987 shin 0.738 0.029 0.804 0.738 0.77 0.964 thigh 0.781 0.044 0.747 0.781 0.764 0.967 upperarm 0.791 0.038 0.779 0.791 0.785 0.97 waist Weighted Avg. 0.8 0.033 0.801 0.8 0.8 0.972 === Confusion Matrix === a b c d e f g <-- classified as 691 34 22 3 14 43 34 | a = chest 45 638 52 4 12 20 65 | b = forearm 23 38 699 1 15 45 21 | c = head 11 4 11 736 45 20 14 | d = shin 23 16 30 44 609 74 29 | e = thigh 51 15 33 16 43 657 26 | f = upperarm 47 51 27 12 19 20 665 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4663 79.4784 % Incorrectly Classified Instances 1204 20.5216 % Kappa statistic 0.7606 Mean absolute error 0.1026 Root mean squared error 0.2077 Relative absolute error 41.8792 % Root relative squared error 59.3639 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.825 0.04 0.774 0.825 0.799 0.971 chest 0.781 0.041 0.761 0.781 0.771 0.969 forearm 0.818 0.035 0.798 0.818 0.808 0.976 head 0.864 0.017 0.893 0.864 0.879 0.989 shin 0.739 0.029 0.806 0.739 0.771 0.969 thigh 0.759 0.04 0.76 0.759 0.759 0.965 upperarm 0.775 0.037 0.778 0.775 0.777 0.968 waist Weighted Avg. 0.795 0.034 0.796 0.795 0.795 0.972 === Confusion Matrix === a b c d e f g <-- classified as 694 41 15 5 14 41 31 | a = chest 31 653 57 0 16 23 56 | b = forearm 26 37 689 1 17 37 35 | c = head 12 8 14 727 45 23 12 | d = shin 30 19 23 55 610 62 26 | e = thigh 59 17 36 20 45 638 26 | f = upperarm 45 83 29 6 10 16 652 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4705 80.1943 % Incorrectly Classified Instances 1162 19.8057 % Kappa statistic 0.7689 Mean absolute error 0.1015 Root mean squared error 0.2058 Relative absolute error 41.4344 % Root relative squared error 58.822 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.801 0.038 0.78 0.801 0.791 0.974 chest 0.786 0.035 0.787 0.786 0.786 0.97 forearm 0.846 0.032 0.816 0.846 0.83 0.981 head 0.854 0.015 0.905 0.854 0.879 0.987 shin 0.771 0.032 0.796 0.771 0.783 0.969 thigh 0.763 0.043 0.75 0.763 0.757 0.963 upperarm 0.792 0.036 0.786 0.792 0.789 0.969 waist Weighted Avg. 0.802 0.033 0.803 0.802 0.802 0.973 === Confusion Matrix === a b c d e f g <-- classified as 674 38 16 3 21 63 26 | a = chest 43 657 53 0 9 22 52 | b = forearm 23 38 712 4 9 28 28 | c = head 8 9 16 718 53 21 16 | d = shin 18 16 18 46 636 54 37 | e = thigh 55 22 34 9 57 642 22 | f = upperarm 43 55 24 13 14 26 666 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4728 80.5863 % Incorrectly Classified Instances 1139 19.4137 % Kappa statistic 0.7735 Mean absolute error 0.1009 Root mean squared error 0.2042 Relative absolute error 41.2115 % Root relative squared error 58.3571 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.811 0.036 0.791 0.811 0.801 0.978 chest 0.805 0.038 0.781 0.805 0.793 0.972 forearm 0.842 0.034 0.806 0.842 0.824 0.981 head 0.869 0.019 0.883 0.869 0.876 0.986 shin 0.733 0.026 0.822 0.733 0.775 0.967 thigh 0.778 0.037 0.777 0.778 0.777 0.968 upperarm 0.801 0.037 0.786 0.801 0.793 0.973 waist Weighted Avg. 0.806 0.032 0.807 0.806 0.806 0.975 === Confusion Matrix === a b c d e f g <-- classified as 682 53 14 7 14 40 31 | a = chest 30 673 53 3 6 22 49 | b = forearm 20 44 708 0 9 27 33 | c = head 18 6 14 731 46 13 13 | d = shin 24 12 21 61 605 63 39 | e = thigh 51 19 41 16 41 655 19 | f = upperarm 37 55 27 10 15 23 674 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 8 FOLD: 0 Correctly Classified Instances 4717 80.3851 % Incorrectly Classified Instances 1151 19.6149 % Kappa statistic 0.7712 Mean absolute error 0.1018 Root mean squared error 0.2061 Relative absolute error 41.5877 % Root relative squared error 58.9122 % Total Number of Instances 5868 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.81 0.034 0.799 0.81 0.804 0.977 chest 0.8 0.037 0.781 0.8 0.791 0.969 forearm 0.836 0.036 0.797 0.836 0.816 0.976 head 0.876 0.016 0.9 0.876 0.888 0.987 shin 0.76 0.027 0.823 0.76 0.79 0.971 thigh 0.767 0.042 0.754 0.767 0.76 0.967 upperarm 0.776 0.037 0.779 0.776 0.778 0.967 waist Weighted Avg. 0.804 0.033 0.805 0.804 0.804 0.973 === Confusion Matrix === a b c d e f g <-- classified as 681 41 18 5 15 55 26 | a = chest 30 670 52 1 6 25 53 | b = forearm 16 46 703 1 19 30 26 | c = head 10 7 10 738 34 23 20 | d = shin 22 19 24 46 628 50 37 | e = thigh 44 26 50 16 37 645 23 | f = upperarm 49 49 25 13 24 28 652 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4665 79.499 % Incorrectly Classified Instances 1203 20.501 % Kappa statistic 0.7608 Mean absolute error 0.1031 Root mean squared error 0.2088 Relative absolute error 42.1037 % Root relative squared error 59.6617 % Total Number of Instances 5868 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.816 0.037 0.785 0.816 0.8 0.974 chest 0.78 0.039 0.768 0.78 0.774 0.965 forearm 0.818 0.032 0.811 0.818 0.815 0.978 head 0.842 0.018 0.89 0.842 0.865 0.983 shin 0.754 0.031 0.798 0.754 0.775 0.967 thigh 0.768 0.043 0.749 0.768 0.758 0.964 upperarm 0.786 0.039 0.772 0.786 0.779 0.967 waist Weighted Avg. 0.795 0.034 0.796 0.795 0.795 0.971 === Confusion Matrix === a b c d e f g <-- classified as 686 43 14 4 6 58 30 | a = chest 37 652 47 6 12 15 67 | b = forearm 20 47 688 5 20 24 37 | c = head 13 9 17 709 56 22 16 | d = shin 21 19 24 50 623 69 20 | e = thigh 53 18 35 13 51 646 25 | f = upperarm 44 61 23 10 13 29 661 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4712 80.2999 % Incorrectly Classified Instances 1156 19.7001 % Kappa statistic 0.7702 Mean absolute error 0.1016 Root mean squared error 0.2058 Relative absolute error 41.4687 % Root relative squared error 58.8063 % Total Number of Instances 5868 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.799 0.039 0.776 0.799 0.787 0.972 chest 0.786 0.037 0.781 0.786 0.784 0.971 forearm 0.843 0.032 0.814 0.843 0.828 0.979 head 0.844 0.016 0.898 0.844 0.87 0.985 shin 0.772 0.03 0.81 0.772 0.791 0.969 thigh 0.775 0.039 0.769 0.775 0.772 0.969 upperarm 0.8 0.038 0.78 0.8 0.79 0.969 waist Weighted Avg. 0.803 0.033 0.804 0.803 0.803 0.974 === Confusion Matrix === a b c d e f g <-- classified as 672 50 13 9 20 47 30 | a = chest 32 657 50 1 16 23 57 | b = forearm 32 37 710 1 7 28 27 | c = head 9 4 19 711 53 19 27 | d = shin 27 18 15 36 637 64 28 | e = thigh 52 19 38 17 42 652 21 | f = upperarm 42 56 27 17 11 15 673 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4670 79.5978 % Incorrectly Classified Instances 1197 20.4022 % Kappa statistic 0.762 Mean absolute error 0.1029 Root mean squared error 0.2081 Relative absolute error 42.0152 % Root relative squared error 59.4618 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.809 0.043 0.759 0.809 0.783 0.97 chest 0.768 0.035 0.784 0.768 0.776 0.968 forearm 0.838 0.032 0.814 0.838 0.826 0.979 head 0.885 0.018 0.894 0.885 0.889 0.989 shin 0.762 0.032 0.797 0.762 0.779 0.968 thigh 0.74 0.041 0.75 0.74 0.745 0.96 upperarm 0.769 0.037 0.775 0.769 0.772 0.966 waist Weighted Avg. 0.796 0.034 0.796 0.796 0.796 0.971 === Confusion Matrix === a b c d e f g <-- classified as 680 42 24 5 12 46 32 | a = chest 48 642 59 2 11 18 56 | b = forearm 23 29 706 2 15 33 34 | c = head 12 7 6 744 41 15 16 | d = shin 28 12 15 54 629 68 19 | e = thigh 57 22 37 18 54 622 31 | f = upperarm 48 65 20 7 27 27 647 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4705 80.1943 % Incorrectly Classified Instances 1162 19.8057 % Kappa statistic 0.7689 Mean absolute error 0.1023 Root mean squared error 0.2072 Relative absolute error 41.7863 % Root relative squared error 59.2016 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.81 0.039 0.778 0.81 0.794 0.974 chest 0.768 0.036 0.782 0.768 0.775 0.965 forearm 0.85 0.035 0.803 0.85 0.826 0.979 head 0.867 0.016 0.901 0.867 0.884 0.986 shin 0.761 0.028 0.815 0.761 0.787 0.967 thigh 0.782 0.04 0.764 0.782 0.773 0.968 upperarm 0.774 0.037 0.777 0.774 0.775 0.97 waist Weighted Avg. 0.802 0.033 0.803 0.802 0.802 0.973 === Confusion Matrix === a b c d e f g <-- classified as 681 33 20 6 19 51 31 | a = chest 46 642 54 2 12 22 58 | b = forearm 21 37 716 4 10 26 28 | c = head 18 2 14 729 37 23 18 | d = shin 24 17 16 44 628 63 33 | e = thigh 41 22 39 11 51 658 19 | f = upperarm 44 68 33 13 14 18 651 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4683 79.8193 % Incorrectly Classified Instances 1184 20.1807 % Kappa statistic 0.7646 Mean absolute error 0.1022 Root mean squared error 0.2065 Relative absolute error 41.7422 % Root relative squared error 59.0173 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.788 0.037 0.782 0.788 0.785 0.974 chest 0.773 0.039 0.766 0.773 0.77 0.968 forearm 0.842 0.037 0.792 0.842 0.816 0.978 head 0.879 0.019 0.887 0.879 0.883 0.985 shin 0.775 0.03 0.809 0.775 0.791 0.974 thigh 0.773 0.038 0.771 0.773 0.772 0.966 upperarm 0.757 0.035 0.782 0.757 0.769 0.968 waist Weighted Avg. 0.798 0.034 0.798 0.798 0.798 0.973 === Confusion Matrix === a b c d e f g <-- classified as 663 52 27 7 10 47 35 | a = chest 36 646 59 5 14 20 56 | b = forearm 29 36 709 2 12 31 23 | c = head 11 6 10 739 40 16 19 | d = shin 16 12 17 57 639 56 28 | e = thigh 40 25 40 12 57 650 17 | f = upperarm 53 66 33 11 18 23 637 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4681 79.7852 % Incorrectly Classified Instances 1186 20.2148 % Kappa statistic 0.7642 Mean absolute error 0.1009 Root mean squared error 0.2056 Relative absolute error 41.1828 % Root relative squared error 58.76 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.825 0.04 0.775 0.825 0.799 0.976 chest 0.783 0.039 0.768 0.783 0.776 0.971 forearm 0.808 0.034 0.8 0.808 0.804 0.978 head 0.864 0.018 0.889 0.864 0.876 0.986 shin 0.743 0.032 0.792 0.743 0.767 0.962 thigh 0.772 0.036 0.784 0.772 0.778 0.968 upperarm 0.788 0.037 0.782 0.788 0.785 0.97 waist Weighted Avg. 0.798 0.034 0.798 0.798 0.798 0.973 === Confusion Matrix === a b c d e f g <-- classified as 694 43 11 8 14 39 32 | a = chest 32 655 60 4 10 26 49 | b = forearm 33 42 680 1 15 29 42 | c = head 11 12 13 727 50 14 14 | d = shin 26 19 22 60 613 53 32 | e = thigh 59 15 41 11 50 649 16 | f = upperarm 41 67 23 7 22 18 663 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4672 79.6318 % Incorrectly Classified Instances 1195 20.3682 % Kappa statistic 0.7624 Mean absolute error 0.1027 Root mean squared error 0.2078 Relative absolute error 41.9253 % Root relative squared error 59.3783 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.791 0.037 0.784 0.791 0.787 0.974 chest 0.798 0.041 0.763 0.798 0.78 0.968 forearm 0.814 0.034 0.802 0.814 0.808 0.979 head 0.894 0.018 0.892 0.894 0.893 0.987 shin 0.726 0.03 0.797 0.726 0.76 0.964 thigh 0.776 0.044 0.749 0.776 0.762 0.965 upperarm 0.774 0.034 0.791 0.774 0.782 0.968 waist Weighted Avg. 0.796 0.034 0.797 0.796 0.796 0.972 === Confusion Matrix === a b c d e f g <-- classified as 666 53 22 2 13 63 23 | a = chest 25 667 57 2 12 19 54 | b = forearm 26 51 685 2 13 37 28 | c = head 6 7 6 752 46 11 13 | d = shin 23 22 24 60 599 65 32 | e = thigh 48 18 35 19 46 653 22 | f = upperarm 56 56 25 6 23 24 650 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4719 80.4329 % Incorrectly Classified Instances 1148 19.5671 % Kappa statistic 0.7717 Mean absolute error 0.1018 Root mean squared error 0.2052 Relative absolute error 41.5813 % Root relative squared error 58.6451 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.815 0.037 0.785 0.815 0.8 0.978 chest 0.786 0.036 0.785 0.786 0.785 0.973 forearm 0.835 0.034 0.805 0.835 0.82 0.979 head 0.862 0.016 0.901 0.862 0.881 0.985 shin 0.77 0.029 0.811 0.77 0.79 0.966 thigh 0.791 0.04 0.768 0.791 0.779 0.969 upperarm 0.771 0.036 0.782 0.771 0.777 0.968 waist Weighted Avg. 0.804 0.033 0.805 0.804 0.805 0.974 === Confusion Matrix === a b c d e f g <-- classified as 686 41 18 4 14 54 25 | a = chest 38 657 61 3 9 17 51 | b = forearm 25 35 702 1 15 32 31 | c = head 15 4 14 725 51 18 14 | d = shin 19 21 15 45 635 56 34 | e = thigh 50 10 32 16 42 666 26 | f = upperarm 41 69 30 11 17 24 648 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4680 79.7682 % Incorrectly Classified Instances 1187 20.2318 % Kappa statistic 0.764 Mean absolute error 0.1021 Root mean squared error 0.2066 Relative absolute error 41.6815 % Root relative squared error 59.0335 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.811 0.038 0.78 0.811 0.795 0.974 chest 0.78 0.034 0.792 0.78 0.786 0.968 forearm 0.845 0.038 0.79 0.845 0.817 0.979 head 0.859 0.016 0.9 0.859 0.879 0.987 shin 0.753 0.032 0.796 0.753 0.774 0.968 thigh 0.755 0.044 0.742 0.755 0.748 0.963 upperarm 0.78 0.035 0.79 0.78 0.785 0.971 waist Weighted Avg. 0.798 0.034 0.799 0.798 0.798 0.973 === Confusion Matrix === a b c d e f g <-- classified as 683 40 16 6 10 55 32 | a = chest 30 653 67 1 11 22 53 | b = forearm 24 33 711 0 11 34 28 | c = head 11 4 16 722 53 24 11 | d = shin 25 14 31 48 621 61 25 | e = thigh 70 19 25 16 51 635 25 | f = upperarm 33 61 34 9 23 25 655 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 9 FOLD: 0 Correctly Classified Instances 4716 80.3681 % Incorrectly Classified Instances 1152 19.6319 % Kappa statistic 0.771 Mean absolute error 0.1013 Root mean squared error 0.2054 Relative absolute error 41.347 % Root relative squared error 58.6868 % Total Number of Instances 5868 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.822 0.031 0.815 0.822 0.818 0.976 chest 0.77 0.035 0.786 0.77 0.778 0.97 forearm 0.823 0.036 0.791 0.823 0.807 0.976 head 0.88 0.017 0.895 0.88 0.887 0.989 shin 0.772 0.032 0.798 0.772 0.785 0.967 thigh 0.778 0.041 0.759 0.778 0.768 0.968 upperarm 0.78 0.036 0.785 0.78 0.782 0.97 waist Weighted Avg. 0.804 0.033 0.804 0.804 0.804 0.974 === Confusion Matrix === a b c d e f g <-- classified as 691 34 22 4 12 50 28 | a = chest 37 644 60 2 8 22 63 | b = forearm 22 47 692 1 14 33 32 | c = head 5 6 19 741 39 19 13 | d = shin 20 17 16 53 638 56 26 | e = thigh 42 21 32 15 59 654 18 | f = upperarm 31 50 34 12 30 28 656 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4659 79.3967 % Incorrectly Classified Instances 1209 20.6033 % Kappa statistic 0.7596 Mean absolute error 0.1038 Root mean squared error 0.209 Relative absolute error 42.3725 % Root relative squared error 59.7364 % Total Number of Instances 5868 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.804 0.041 0.766 0.804 0.784 0.974 chest 0.769 0.036 0.781 0.769 0.775 0.965 forearm 0.824 0.034 0.8 0.824 0.812 0.979 head 0.865 0.018 0.892 0.865 0.878 0.986 shin 0.749 0.032 0.795 0.749 0.771 0.967 thigh 0.762 0.039 0.765 0.762 0.764 0.962 upperarm 0.783 0.041 0.763 0.783 0.773 0.966 waist Weighted Avg. 0.794 0.034 0.795 0.794 0.794 0.971 === Confusion Matrix === a b c d e f g <-- classified as 677 45 22 5 8 49 36 | a = chest 39 643 53 1 11 27 62 | b = forearm 29 42 693 3 13 23 38 | c = head 13 8 12 728 49 16 16 | d = shin 32 10 26 56 619 59 24 | e = thigh 46 23 37 14 52 641 28 | f = upperarm 48 52 23 9 27 23 658 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4659 79.3967 % Incorrectly Classified Instances 1209 20.6033 % Kappa statistic 0.7596 Mean absolute error 0.1029 Root mean squared error 0.2083 Relative absolute error 42.0309 % Root relative squared error 59.5411 % Total Number of Instances 5868 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.795 0.039 0.773 0.795 0.783 0.97 chest 0.777 0.033 0.797 0.777 0.786 0.974 forearm 0.826 0.035 0.8 0.826 0.813 0.978 head 0.88 0.018 0.891 0.88 0.885 0.985 shin 0.741 0.035 0.778 0.741 0.759 0.964 thigh 0.766 0.043 0.747 0.766 0.756 0.964 upperarm 0.773 0.038 0.774 0.773 0.774 0.968 waist Weighted Avg. 0.794 0.034 0.794 0.794 0.794 0.972 === Confusion Matrix === a b c d e f g <-- classified as 669 42 18 7 17 58 31 | a = chest 33 650 57 5 18 16 58 | b = forearm 24 35 695 2 15 39 31 | c = head 14 4 12 741 39 13 19 | d = shin 27 21 22 48 611 67 29 | e = thigh 53 11 37 17 58 644 21 | f = upperarm 46 53 28 12 27 25 649 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4692 79.9727 % Incorrectly Classified Instances 1175 20.0273 % Kappa statistic 0.7663 Mean absolute error 0.1019 Root mean squared error 0.2069 Relative absolute error 41.5976 % Root relative squared error 59.1192 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.785 0.042 0.757 0.785 0.771 0.973 chest 0.793 0.042 0.761 0.793 0.777 0.971 forearm 0.839 0.032 0.812 0.839 0.826 0.979 head 0.879 0.017 0.896 0.879 0.887 0.986 shin 0.737 0.026 0.822 0.737 0.777 0.964 thigh 0.788 0.042 0.758 0.788 0.773 0.966 upperarm 0.775 0.032 0.802 0.775 0.788 0.965 waist Weighted Avg. 0.8 0.033 0.801 0.8 0.8 0.972 === Confusion Matrix === a b c d e f g <-- classified as 661 50 25 6 13 57 30 | a = chest 41 664 51 2 9 14 56 | b = forearm 30 36 706 1 13 36 19 | c = head 15 4 12 739 46 15 10 | d = shin 28 20 18 54 608 66 31 | e = thigh 53 24 30 16 40 663 15 | f = upperarm 45 75 27 7 11 24 651 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4697 80.058 % Incorrectly Classified Instances 1170 19.942 % Kappa statistic 0.7673 Mean absolute error 0.1018 Root mean squared error 0.2061 Relative absolute error 41.5569 % Root relative squared error 58.9049 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.79 0.041 0.764 0.79 0.777 0.971 chest 0.773 0.036 0.782 0.773 0.777 0.968 forearm 0.862 0.033 0.816 0.862 0.838 0.983 head 0.883 0.015 0.911 0.883 0.897 0.987 shin 0.766 0.03 0.805 0.766 0.785 0.97 thigh 0.766 0.04 0.762 0.766 0.764 0.964 upperarm 0.763 0.038 0.769 0.763 0.766 0.967 waist Weighted Avg. 0.801 0.033 0.801 0.801 0.801 0.973 === Confusion Matrix === a b c d e f g <-- classified as 664 36 19 3 16 66 37 | a = chest 46 646 45 7 10 18 64 | b = forearm 19 35 726 2 14 23 23 | c = head 13 4 10 743 37 15 19 | d = shin 22 27 22 46 632 51 25 | e = thigh 57 13 35 8 59 645 25 | f = upperarm 48 65 33 7 17 29 641 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4662 79.4614 % Incorrectly Classified Instances 1205 20.5386 % Kappa statistic 0.7604 Mean absolute error 0.1038 Root mean squared error 0.2084 Relative absolute error 42.3756 % Root relative squared error 59.5641 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.805 0.037 0.786 0.805 0.796 0.976 chest 0.778 0.041 0.759 0.778 0.768 0.968 forearm 0.828 0.035 0.8 0.828 0.814 0.978 head 0.857 0.022 0.868 0.857 0.862 0.987 shin 0.743 0.026 0.825 0.743 0.782 0.969 thigh 0.782 0.04 0.766 0.782 0.774 0.968 upperarm 0.768 0.04 0.764 0.768 0.766 0.966 waist Weighted Avg. 0.795 0.034 0.795 0.795 0.795 0.973 === Confusion Matrix === a b c d e f g <-- classified as 677 58 10 5 11 42 38 | a = chest 27 650 64 3 9 29 54 | b = forearm 27 36 697 0 18 30 34 | c = head 11 9 16 721 47 21 16 | d = shin 24 10 22 69 613 55 32 | e = thigh 55 16 33 18 35 658 26 | f = upperarm 40 77 29 15 10 24 646 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4729 80.6034 % Incorrectly Classified Instances 1138 19.3966 % Kappa statistic 0.7737 Mean absolute error 0.1005 Root mean squared error 0.2043 Relative absolute error 41.0554 % Root relative squared error 58.3916 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.824 0.035 0.797 0.824 0.811 0.978 chest 0.806 0.035 0.794 0.806 0.8 0.972 forearm 0.836 0.034 0.805 0.836 0.82 0.979 head 0.861 0.017 0.897 0.861 0.879 0.985 shin 0.784 0.03 0.811 0.784 0.797 0.971 thigh 0.761 0.039 0.766 0.761 0.763 0.965 upperarm 0.769 0.037 0.777 0.769 0.773 0.967 waist Weighted Avg. 0.806 0.032 0.807 0.806 0.806 0.974 === Confusion Matrix === a b c d e f g <-- classified as 693 36 14 5 13 45 35 | a = chest 31 674 46 3 11 25 46 | b = forearm 29 32 704 4 13 28 32 | c = head 15 4 7 724 49 24 18 | d = shin 14 15 22 42 647 53 32 | e = thigh 48 23 43 20 44 640 23 | f = upperarm 39 65 39 9 21 21 647 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4697 80.058 % Incorrectly Classified Instances 1170 19.942 % Kappa statistic 0.7673 Mean absolute error 0.1021 Root mean squared error 0.2075 Relative absolute error 41.6825 % Root relative squared error 59.2976 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.813 0.036 0.79 0.813 0.801 0.976 chest 0.766 0.038 0.768 0.766 0.767 0.965 forearm 0.824 0.033 0.807 0.824 0.816 0.975 head 0.882 0.015 0.908 0.882 0.895 0.985 shin 0.76 0.032 0.798 0.76 0.778 0.969 thigh 0.766 0.042 0.752 0.766 0.759 0.963 upperarm 0.792 0.036 0.784 0.792 0.788 0.969 waist Weighted Avg. 0.801 0.033 0.801 0.801 0.801 0.972 === Confusion Matrix === a b c d e f g <-- classified as 684 38 15 2 18 56 28 | a = chest 38 640 64 2 15 20 57 | b = forearm 25 40 694 5 14 27 37 | c = head 11 9 4 742 49 17 9 | d = shin 18 19 25 42 627 66 28 | e = thigh 50 29 33 13 48 644 24 | f = upperarm 40 58 25 11 15 26 666 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4694 80.0068 % Incorrectly Classified Instances 1173 19.9932 % Kappa statistic 0.7667 Mean absolute error 0.1021 Root mean squared error 0.2067 Relative absolute error 41.6814 % Root relative squared error 59.0658 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.803 0.036 0.787 0.803 0.795 0.975 chest 0.809 0.039 0.773 0.809 0.791 0.968 forearm 0.844 0.039 0.782 0.844 0.812 0.979 head 0.845 0.016 0.901 0.845 0.872 0.984 shin 0.752 0.035 0.781 0.752 0.766 0.966 thigh 0.778 0.038 0.776 0.778 0.777 0.968 upperarm 0.769 0.03 0.809 0.769 0.789 0.969 waist Weighted Avg. 0.8 0.033 0.801 0.8 0.8 0.973 === Confusion Matrix === a b c d e f g <-- classified as 675 38 25 5 18 55 25 | a = chest 34 676 51 2 12 18 43 | b = forearm 17 38 711 4 17 34 21 | c = head 15 8 15 711 61 15 16 | d = shin 26 20 27 50 620 52 30 | e = thigh 49 22 43 9 46 654 18 | f = upperarm 42 72 37 8 20 15 647 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4718 80.4159 % Incorrectly Classified Instances 1149 19.5841 % Kappa statistic 0.7715 Mean absolute error 0.1017 Root mean squared error 0.2055 Relative absolute error 41.5406 % Root relative squared error 58.7302 % Total Number of Instances 5867 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.822 0.035 0.799 0.822 0.81 0.976 chest 0.776 0.039 0.769 0.776 0.773 0.971 forearm 0.828 0.034 0.801 0.828 0.814 0.98 head 0.869 0.018 0.888 0.869 0.879 0.984 shin 0.755 0.027 0.82 0.755 0.786 0.967 thigh 0.79 0.036 0.787 0.79 0.788 0.97 upperarm 0.788 0.039 0.77 0.788 0.779 0.97 waist Weighted Avg. 0.804 0.033 0.805 0.804 0.804 0.974 === Confusion Matrix === a b c d e f g <-- classified as 691 38 20 5 10 48 29 | a = chest 32 649 62 5 9 22 57 | b = forearm 22 52 697 1 8 28 34 | c = head 11 8 13 731 41 15 22 | d = shin 22 21 22 53 623 48 36 | e = thigh 49 16 30 18 44 664 20 | f = upperarm 38 60 26 10 25 19 663 | g = waist ------------------------------------------------------------------------------------------------------ SUBJECT: 7 RUN: 0 FOLD: 0 Correctly Classified Instances 4965 79.759 % Incorrectly Classified Instances 1260 20.241 % Kappa statistic 0.7639 Mean absolute error 0.0954 Root mean squared error 0.2036 Relative absolute error 38.9482 % Root relative squared error 58.1854 % Total Number of Instances 6225 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.79 0.049 0.73 0.79 0.759 0.969 chest 0.747 0.032 0.796 0.747 0.771 0.969 forearm 0.812 0.037 0.788 0.812 0.8 0.974 head 0.836 0.023 0.859 0.836 0.847 0.982 shin 0.799 0.027 0.83 0.799 0.814 0.974 thigh 0.817 0.031 0.817 0.817 0.817 0.975 upperarm 0.782 0.039 0.772 0.782 0.777 0.966 waist Weighted Avg. 0.798 0.034 0.799 0.798 0.798 0.973 === Confusion Matrix === a b c d e f g <-- classified as 702 38 23 14 17 55 40 | a = chest 57 660 72 14 10 23 48 | b = forearm 28 55 723 7 27 17 33 | c = head 23 11 11 744 53 21 27 | d = shin 57 18 16 34 712 26 28 | e = thigh 43 16 25 23 26 728 30 | f = upperarm 51 31 48 30 13 21 696 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4932 79.2289 % Incorrectly Classified Instances 1293 20.7711 % Kappa statistic 0.7577 Mean absolute error 0.0965 Root mean squared error 0.2051 Relative absolute error 39.385 % Root relative squared error 58.6088 % Total Number of Instances 6225 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.811 0.052 0.722 0.811 0.764 0.973 chest 0.763 0.028 0.816 0.763 0.789 0.969 forearm 0.793 0.04 0.769 0.793 0.781 0.972 head 0.825 0.024 0.853 0.825 0.839 0.977 shin 0.803 0.03 0.819 0.803 0.811 0.973 thigh 0.798 0.032 0.804 0.798 0.801 0.972 upperarm 0.753 0.037 0.775 0.753 0.764 0.963 waist Weighted Avg. 0.792 0.035 0.794 0.792 0.793 0.971 === Confusion Matrix === a b c d e f g <-- classified as 721 20 23 10 22 54 39 | a = chest 62 675 73 11 15 16 33 | b = forearm 45 48 707 14 27 15 35 | c = head 16 9 12 733 51 35 33 | d = shin 45 16 10 47 715 31 26 | e = thigh 44 21 30 28 28 711 29 | f = upperarm 65 38 64 16 15 22 670 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4961 79.6948 % Incorrectly Classified Instances 1264 20.3052 % Kappa statistic 0.7631 Mean absolute error 0.0967 Root mean squared error 0.2036 Relative absolute error 39.489 % Root relative squared error 58.1701 % Total Number of Instances 6225 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.819 0.046 0.748 0.819 0.782 0.972 chest 0.784 0.029 0.816 0.784 0.8 0.972 forearm 0.791 0.041 0.763 0.791 0.777 0.974 head 0.829 0.022 0.861 0.829 0.845 0.984 shin 0.785 0.03 0.813 0.785 0.799 0.971 thigh 0.808 0.032 0.808 0.808 0.808 0.974 upperarm 0.762 0.036 0.779 0.762 0.77 0.968 waist Weighted Avg. 0.797 0.034 0.798 0.797 0.797 0.974 === Confusion Matrix === a b c d e f g <-- classified as 728 19 26 16 18 46 36 | a = chest 51 694 66 9 14 24 27 | b = forearm 42 52 705 6 27 21 38 | c = head 15 6 12 737 56 32 31 | d = shin 47 24 17 44 699 24 35 | e = thigh 45 18 39 19 25 720 25 | f = upperarm 45 38 59 25 21 24 678 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 5022 80.6747 % Incorrectly Classified Instances 1203 19.3253 % Kappa statistic 0.7745 Mean absolute error 0.0952 Root mean squared error 0.2018 Relative absolute error 38.8571 % Root relative squared error 57.6654 % Total Number of Instances 6225 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.827 0.047 0.744 0.827 0.783 0.973 chest 0.775 0.028 0.819 0.775 0.797 0.971 forearm 0.832 0.041 0.773 0.832 0.801 0.974 head 0.821 0.022 0.863 0.821 0.841 0.982 shin 0.809 0.025 0.842 0.809 0.825 0.979 thigh 0.799 0.027 0.833 0.799 0.816 0.975 upperarm 0.784 0.035 0.789 0.784 0.786 0.97 waist Weighted Avg. 0.807 0.032 0.809 0.807 0.807 0.975 === Confusion Matrix === a b c d e f g <-- classified as 735 27 29 11 16 44 27 | a = chest 64 685 66 11 13 10 35 | b = forearm 34 41 741 5 27 14 29 | c = head 16 13 13 730 53 28 36 | d = shin 50 13 19 34 720 29 25 | e = thigh 49 17 26 34 18 713 35 | f = upperarm 40 40 65 21 8 18 698 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4977 79.9647 % Incorrectly Classified Instances 1247 20.0353 % Kappa statistic 0.7663 Mean absolute error 0.0957 Root mean squared error 0.2024 Relative absolute error 39.0897 % Root relative squared error 57.8508 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.804 0.042 0.763 0.804 0.783 0.973 chest 0.795 0.03 0.815 0.795 0.805 0.974 forearm 0.81 0.04 0.77 0.81 0.79 0.974 head 0.825 0.027 0.836 0.825 0.83 0.979 shin 0.804 0.028 0.826 0.804 0.815 0.976 thigh 0.813 0.033 0.804 0.813 0.808 0.974 upperarm 0.746 0.033 0.789 0.746 0.767 0.97 waist Weighted Avg. 0.8 0.033 0.8 0.8 0.8 0.974 === Confusion Matrix === a b c d e f g <-- classified as 715 32 28 8 12 62 32 | a = chest 37 703 69 8 14 17 36 | b = forearm 35 47 721 15 31 12 29 | c = head 15 11 13 733 54 34 29 | d = shin 45 12 10 55 716 27 25 | e = thigh 40 15 35 30 20 725 27 | f = upperarm 50 43 60 28 20 25 664 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4894 78.6311 % Incorrectly Classified Instances 1330 21.3689 % Kappa statistic 0.7507 Mean absolute error 0.0985 Root mean squared error 0.2074 Relative absolute error 40.2335 % Root relative squared error 59.2799 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.801 0.044 0.751 0.801 0.775 0.973 chest 0.777 0.032 0.799 0.777 0.788 0.971 forearm 0.771 0.04 0.762 0.771 0.766 0.967 head 0.819 0.03 0.82 0.819 0.82 0.978 shin 0.77 0.03 0.812 0.77 0.79 0.97 thigh 0.797 0.031 0.813 0.797 0.805 0.975 upperarm 0.77 0.042 0.753 0.77 0.761 0.966 waist Weighted Avg. 0.786 0.036 0.787 0.786 0.786 0.971 === Confusion Matrix === a b c d e f g <-- classified as 712 24 30 16 23 45 39 | a = chest 47 687 64 8 20 14 44 | b = forearm 45 58 686 15 32 15 39 | c = head 9 14 11 729 44 44 39 | d = shin 47 23 20 52 685 30 33 | e = thigh 36 19 30 38 27 710 31 | f = upperarm 52 35 59 31 13 15 685 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 5008 80.4627 % Incorrectly Classified Instances 1216 19.5373 % Kappa statistic 0.7721 Mean absolute error 0.0956 Root mean squared error 0.2023 Relative absolute error 39.0423 % Root relative squared error 57.8126 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.807 0.043 0.758 0.807 0.781 0.971 chest 0.79 0.026 0.833 0.79 0.811 0.973 forearm 0.794 0.036 0.786 0.794 0.79 0.974 head 0.854 0.024 0.858 0.854 0.856 0.982 shin 0.796 0.027 0.83 0.796 0.812 0.973 thigh 0.813 0.031 0.813 0.813 0.813 0.975 upperarm 0.78 0.041 0.761 0.78 0.77 0.969 waist Weighted Avg. 0.805 0.033 0.806 0.805 0.805 0.974 === Confusion Matrix === a b c d e f g <-- classified as 717 24 31 12 20 45 40 | a = chest 44 698 54 10 16 21 41 | b = forearm 46 37 707 9 40 22 29 | c = head 15 7 6 760 36 29 37 | d = shin 51 15 15 40 708 24 37 | e = thigh 35 23 30 25 20 724 34 | f = upperarm 38 34 56 30 13 25 694 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4965 79.7719 % Incorrectly Classified Instances 1259 20.2281 % Kappa statistic 0.764 Mean absolute error 0.0958 Root mean squared error 0.2035 Relative absolute error 39.1317 % Root relative squared error 58.1504 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.82 0.046 0.747 0.82 0.782 0.975 chest 0.757 0.029 0.81 0.757 0.782 0.968 forearm 0.799 0.035 0.79 0.799 0.794 0.972 head 0.829 0.023 0.857 0.829 0.843 0.984 shin 0.808 0.026 0.838 0.808 0.823 0.975 thigh 0.81 0.035 0.793 0.81 0.802 0.975 upperarm 0.761 0.04 0.758 0.761 0.759 0.964 waist Weighted Avg. 0.798 0.034 0.799 0.798 0.798 0.973 === Confusion Matrix === a b c d e f g <-- classified as 729 28 21 10 11 55 35 | a = chest 53 669 71 11 9 20 51 | b = forearm 38 47 711 9 27 17 41 | c = head 13 3 10 738 56 31 39 | d = shin 46 15 15 38 719 33 24 | e = thigh 41 24 27 31 20 722 26 | f = upperarm 56 40 45 24 16 32 677 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 5017 80.6073 % Incorrectly Classified Instances 1207 19.3927 % Kappa statistic 0.7738 Mean absolute error 0.0936 Root mean squared error 0.1999 Relative absolute error 38.2299 % Root relative squared error 57.1145 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.829 0.047 0.747 0.829 0.786 0.977 chest 0.814 0.031 0.814 0.814 0.814 0.974 forearm 0.806 0.034 0.8 0.806 0.803 0.975 head 0.831 0.024 0.854 0.831 0.842 0.981 shin 0.767 0.028 0.822 0.767 0.794 0.973 thigh 0.811 0.03 0.817 0.811 0.814 0.978 upperarm 0.783 0.033 0.797 0.783 0.79 0.97 waist Weighted Avg. 0.806 0.032 0.807 0.806 0.806 0.976 === Confusion Matrix === a b c d e f g <-- classified as 737 32 21 10 19 41 29 | a = chest 43 720 50 10 13 13 35 | b = forearm 36 50 717 9 28 21 29 | c = head 15 11 11 740 50 33 30 | d = shin 56 21 18 49 683 29 34 | e = thigh 46 18 33 32 19 723 20 | f = upperarm 54 32 46 17 19 25 697 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4980 80.0129 % Incorrectly Classified Instances 1244 19.9871 % Kappa statistic 0.7668 Mean absolute error 0.0958 Root mean squared error 0.2031 Relative absolute error 39.1225 % Root relative squared error 58.0473 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.823 0.047 0.743 0.823 0.781 0.975 chest 0.761 0.029 0.813 0.761 0.786 0.967 forearm 0.79 0.035 0.792 0.79 0.791 0.972 head 0.839 0.023 0.858 0.839 0.848 0.983 shin 0.794 0.03 0.815 0.794 0.805 0.974 thigh 0.805 0.027 0.831 0.805 0.818 0.975 upperarm 0.788 0.041 0.76 0.788 0.774 0.969 waist Weighted Avg. 0.8 0.033 0.802 0.8 0.8 0.973 === Confusion Matrix === a b c d e f g <-- classified as 732 33 27 12 17 34 34 | a = chest 65 673 62 9 15 19 41 | b = forearm 45 51 703 6 31 15 39 | c = head 24 7 9 747 44 25 34 | d = shin 40 10 14 41 707 34 44 | e = thigh 32 18 29 34 32 717 29 | f = upperarm 47 36 44 22 21 19 701 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 1 FOLD: 0 Correctly Classified Instances 4997 80.2731 % Incorrectly Classified Instances 1228 19.7269 % Kappa statistic 0.7699 Mean absolute error 0.0947 Root mean squared error 0.2011 Relative absolute error 38.664 % Root relative squared error 57.4826 % Total Number of Instances 6225 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.814 0.047 0.742 0.814 0.776 0.973 chest 0.798 0.029 0.821 0.798 0.809 0.973 forearm 0.807 0.035 0.792 0.807 0.799 0.973 head 0.844 0.027 0.837 0.844 0.841 0.98 shin 0.782 0.026 0.836 0.782 0.808 0.974 thigh 0.807 0.029 0.821 0.807 0.814 0.977 upperarm 0.767 0.036 0.78 0.767 0.773 0.968 waist Weighted Avg. 0.803 0.033 0.804 0.803 0.803 0.974 === Confusion Matrix === a b c d e f g <-- classified as 724 30 26 9 23 52 25 | a = chest 43 706 57 13 9 15 42 | b = forearm 41 39 718 13 24 21 34 | c = head 25 14 11 751 40 21 28 | d = shin 46 18 16 49 696 28 37 | e = thigh 40 18 28 30 29 719 27 | f = upperarm 57 35 51 32 12 20 683 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4928 79.1647 % Incorrectly Classified Instances 1297 20.8353 % Kappa statistic 0.7569 Mean absolute error 0.0958 Root mean squared error 0.2039 Relative absolute error 39.123 % Root relative squared error 58.2627 % Total Number of Instances 6225 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.821 0.052 0.726 0.821 0.771 0.975 chest 0.758 0.031 0.8 0.758 0.779 0.967 forearm 0.787 0.038 0.775 0.787 0.781 0.97 head 0.811 0.025 0.842 0.811 0.827 0.981 shin 0.809 0.028 0.829 0.809 0.819 0.975 thigh 0.792 0.031 0.81 0.792 0.801 0.973 upperarm 0.763 0.038 0.771 0.763 0.767 0.966 waist Weighted Avg. 0.792 0.035 0.793 0.792 0.792 0.972 === Confusion Matrix === a b c d e f g <-- classified as 730 24 23 6 14 50 42 | a = chest 59 670 64 11 12 19 49 | b = forearm 41 51 701 15 26 19 38 | c = head 22 16 11 722 59 29 31 | d = shin 47 15 22 44 720 23 19 | e = thigh 48 21 33 33 27 706 23 | f = upperarm 58 40 51 26 10 26 679 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 5011 80.498 % Incorrectly Classified Instances 1214 19.502 % Kappa statistic 0.7725 Mean absolute error 0.0967 Root mean squared error 0.2035 Relative absolute error 39.496 % Root relative squared error 58.1469 % Total Number of Instances 6225 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.794 0.043 0.754 0.794 0.774 0.973 chest 0.79 0.028 0.823 0.79 0.806 0.972 forearm 0.81 0.035 0.795 0.81 0.803 0.976 head 0.822 0.025 0.845 0.822 0.834 0.979 shin 0.793 0.027 0.833 0.793 0.812 0.971 thigh 0.833 0.031 0.82 0.833 0.826 0.973 upperarm 0.792 0.039 0.771 0.792 0.782 0.97 waist Weighted Avg. 0.805 0.033 0.806 0.805 0.805 0.973 === Confusion Matrix === a b c d e f g <-- classified as 706 34 27 15 22 48 37 | a = chest 52 698 58 9 8 22 37 | b = forearm 31 45 722 18 30 14 31 | c = head 26 10 13 732 43 31 35 | d = shin 51 14 18 43 706 24 34 | e = thigh 28 15 21 27 23 742 35 | f = upperarm 42 32 49 22 16 24 705 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4963 79.7269 % Incorrectly Classified Instances 1262 20.2731 % Kappa statistic 0.7635 Mean absolute error 0.0973 Root mean squared error 0.2055 Relative absolute error 39.7271 % Root relative squared error 58.7393 % Total Number of Instances 6225 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.805 0.046 0.746 0.805 0.774 0.97 chest 0.774 0.028 0.819 0.774 0.796 0.97 forearm 0.815 0.04 0.772 0.815 0.793 0.971 head 0.828 0.027 0.836 0.828 0.832 0.979 shin 0.78 0.029 0.816 0.78 0.798 0.971 thigh 0.795 0.03 0.816 0.795 0.805 0.974 upperarm 0.784 0.036 0.785 0.784 0.785 0.967 waist Weighted Avg. 0.797 0.034 0.798 0.797 0.797 0.972 === Confusion Matrix === a b c d e f g <-- classified as 716 29 27 13 19 53 32 | a = chest 50 684 76 8 15 11 40 | b = forearm 45 43 726 15 23 14 25 | c = head 14 9 10 737 53 31 36 | d = shin 52 12 15 43 694 38 36 | e = thigh 43 18 38 35 27 708 22 | f = upperarm 40 40 49 31 19 13 698 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 5031 80.8323 % Incorrectly Classified Instances 1193 19.1677 % Kappa statistic 0.7764 Mean absolute error 0.0937 Root mean squared error 0.2003 Relative absolute error 38.2449 % Root relative squared error 57.2436 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.825 0.044 0.756 0.825 0.789 0.975 chest 0.775 0.03 0.809 0.775 0.791 0.969 forearm 0.807 0.034 0.8 0.807 0.803 0.972 head 0.847 0.023 0.862 0.847 0.854 0.983 shin 0.819 0.029 0.826 0.819 0.822 0.976 thigh 0.828 0.029 0.825 0.828 0.826 0.979 upperarm 0.757 0.034 0.787 0.757 0.772 0.969 waist Weighted Avg. 0.808 0.032 0.809 0.808 0.808 0.975 === Confusion Matrix === a b c d e f g <-- classified as 733 24 21 11 20 42 38 | a = chest 54 685 65 11 14 17 38 | b = forearm 35 47 718 7 34 15 34 | c = head 13 9 9 754 49 30 26 | d = shin 44 12 11 41 729 31 22 | e = thigh 39 23 25 20 22 738 24 | f = upperarm 52 47 49 31 15 22 674 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 5029 80.8001 % Incorrectly Classified Instances 1195 19.1999 % Kappa statistic 0.776 Mean absolute error 0.094 Root mean squared error 0.2005 Relative absolute error 38.3971 % Root relative squared error 57.2844 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.801 0.042 0.761 0.801 0.78 0.971 chest 0.792 0.031 0.811 0.792 0.801 0.972 forearm 0.808 0.037 0.785 0.808 0.796 0.975 head 0.86 0.023 0.862 0.86 0.861 0.986 shin 0.802 0.029 0.823 0.802 0.812 0.973 thigh 0.811 0.028 0.827 0.811 0.819 0.975 upperarm 0.782 0.034 0.791 0.782 0.786 0.971 waist Weighted Avg. 0.808 0.032 0.809 0.808 0.808 0.975 === Confusion Matrix === a b c d e f g <-- classified as 712 29 24 13 26 47 38 | a = chest 53 700 60 11 15 15 30 | b = forearm 26 52 719 8 32 18 35 | c = head 14 8 11 765 40 23 29 | d = shin 43 20 16 40 714 31 26 | e = thigh 44 18 35 21 24 723 26 | f = upperarm 44 36 51 29 17 17 696 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4995 80.2539 % Incorrectly Classified Instances 1229 19.7461 % Kappa statistic 0.7696 Mean absolute error 0.0952 Root mean squared error 0.2022 Relative absolute error 38.8695 % Root relative squared error 57.7734 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.817 0.051 0.726 0.817 0.769 0.972 chest 0.785 0.025 0.837 0.785 0.81 0.974 forearm 0.791 0.036 0.785 0.791 0.788 0.972 head 0.843 0.024 0.854 0.843 0.848 0.981 shin 0.783 0.024 0.845 0.783 0.813 0.976 thigh 0.817 0.033 0.805 0.817 0.811 0.974 upperarm 0.782 0.037 0.781 0.782 0.782 0.97 waist Weighted Avg. 0.803 0.033 0.805 0.803 0.803 0.974 === Confusion Matrix === a b c d e f g <-- classified as 726 23 29 7 15 48 41 | a = chest 53 694 57 9 12 15 44 | b = forearm 49 47 704 9 27 22 32 | c = head 19 7 14 749 41 32 27 | d = shin 60 9 16 50 698 29 29 | e = thigh 49 17 27 29 19 728 22 | f = upperarm 44 32 50 24 14 30 696 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4949 79.5148 % Incorrectly Classified Instances 1275 20.4852 % Kappa statistic 0.761 Mean absolute error 0.097 Root mean squared error 0.2047 Relative absolute error 39.5936 % Root relative squared error 58.5056 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.796 0.045 0.745 0.796 0.77 0.975 chest 0.781 0.026 0.833 0.781 0.806 0.97 forearm 0.813 0.035 0.795 0.813 0.804 0.977 head 0.826 0.026 0.839 0.826 0.832 0.981 shin 0.772 0.029 0.815 0.772 0.793 0.973 thigh 0.802 0.037 0.783 0.802 0.792 0.972 upperarm 0.776 0.04 0.764 0.776 0.77 0.964 waist Weighted Avg. 0.795 0.034 0.796 0.795 0.795 0.973 === Confusion Matrix === a b c d e f g <-- classified as 708 25 22 17 22 57 38 | a = chest 47 690 67 7 13 23 37 | b = forearm 38 50 724 7 25 12 34 | c = head 11 10 4 734 47 38 45 | d = shin 47 13 19 50 687 40 34 | e = thigh 49 12 27 33 31 715 25 | f = upperarm 50 28 48 27 18 28 691 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4956 79.6272 % Incorrectly Classified Instances 1268 20.3728 % Kappa statistic 0.7623 Mean absolute error 0.0956 Root mean squared error 0.203 Relative absolute error 39.0176 % Root relative squared error 58.0061 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.844 0.045 0.758 0.844 0.799 0.978 chest 0.758 0.032 0.798 0.758 0.777 0.971 forearm 0.793 0.042 0.761 0.793 0.777 0.97 head 0.821 0.022 0.859 0.821 0.84 0.98 shin 0.789 0.028 0.823 0.789 0.806 0.975 thigh 0.811 0.03 0.817 0.811 0.814 0.978 upperarm 0.758 0.038 0.768 0.758 0.763 0.967 waist Weighted Avg. 0.796 0.034 0.798 0.796 0.796 0.974 === Confusion Matrix === a b c d e f g <-- classified as 750 23 26 9 15 38 28 | a = chest 50 670 80 8 16 21 39 | b = forearm 40 51 706 8 35 15 35 | c = head 13 12 11 730 48 39 36 | d = shin 40 21 19 46 702 29 33 | e = thigh 38 22 29 27 20 723 33 | f = upperarm 58 41 57 22 17 20 675 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4927 79.1613 % Incorrectly Classified Instances 1297 20.8387 % Kappa statistic 0.7569 Mean absolute error 0.0978 Root mean squared error 0.2066 Relative absolute error 39.9334 % Root relative squared error 59.0339 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.8 0.051 0.724 0.8 0.76 0.97 chest 0.763 0.029 0.812 0.763 0.787 0.971 forearm 0.796 0.042 0.759 0.796 0.777 0.97 head 0.832 0.023 0.858 0.832 0.845 0.98 shin 0.781 0.028 0.825 0.781 0.803 0.972 thigh 0.823 0.035 0.796 0.823 0.809 0.976 upperarm 0.747 0.035 0.78 0.747 0.763 0.962 waist Weighted Avg. 0.792 0.035 0.793 0.792 0.792 0.972 === Confusion Matrix === a b c d e f g <-- classified as 711 25 24 11 17 62 39 | a = chest 63 675 71 10 12 17 37 | b = forearm 40 54 708 9 38 11 30 | c = head 19 2 6 740 47 43 32 | d = shin 60 16 19 43 695 29 28 | e = thigh 44 18 29 27 18 733 22 | f = upperarm 45 41 76 22 15 26 665 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 2 FOLD: 0 Correctly Classified Instances 4978 79.9679 % Incorrectly Classified Instances 1247 20.0321 % Kappa statistic 0.7663 Mean absolute error 0.0968 Root mean squared error 0.2044 Relative absolute error 39.5338 % Root relative squared error 58.4076 % Total Number of Instances 6225 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.82 0.046 0.748 0.82 0.782 0.972 chest 0.768 0.027 0.826 0.768 0.796 0.97 forearm 0.801 0.037 0.785 0.801 0.793 0.972 head 0.822 0.025 0.846 0.822 0.834 0.979 shin 0.78 0.028 0.822 0.78 0.8 0.971 thigh 0.807 0.033 0.804 0.807 0.806 0.974 upperarm 0.799 0.038 0.776 0.799 0.787 0.97 waist Weighted Avg. 0.8 0.033 0.801 0.8 0.8 0.973 === Confusion Matrix === a b c d e f g <-- classified as 729 28 27 10 10 44 41 | a = chest 50 679 69 5 20 19 42 | b = forearm 40 48 714 14 25 13 37 | c = head 19 11 10 732 52 44 22 | d = shin 41 18 11 52 694 38 36 | e = thigh 41 14 29 29 32 719 27 | f = upperarm 55 24 49 23 11 17 711 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4987 80.1124 % Incorrectly Classified Instances 1238 19.8876 % Kappa statistic 0.768 Mean absolute error 0.0956 Root mean squared error 0.2038 Relative absolute error 39.0392 % Root relative squared error 58.246 % Total Number of Instances 6225 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.813 0.044 0.755 0.813 0.783 0.975 chest 0.776 0.027 0.828 0.776 0.801 0.969 forearm 0.798 0.039 0.774 0.798 0.786 0.972 head 0.843 0.025 0.848 0.843 0.846 0.983 shin 0.802 0.028 0.824 0.802 0.813 0.972 thigh 0.79 0.031 0.811 0.79 0.8 0.971 upperarm 0.785 0.038 0.776 0.785 0.781 0.969 waist Weighted Avg. 0.801 0.033 0.802 0.801 0.801 0.973 === Confusion Matrix === a b c d e f g <-- classified as 723 24 35 11 19 46 31 | a = chest 44 686 67 7 13 15 52 | b = forearm 40 47 711 12 33 14 34 | c = head 12 10 10 750 43 34 31 | d = shin 49 16 14 44 714 30 23 | e = thigh 47 14 27 41 27 704 31 | f = upperarm 43 32 55 19 17 25 699 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4981 80.0161 % Incorrectly Classified Instances 1244 19.9839 % Kappa statistic 0.7669 Mean absolute error 0.0959 Root mean squared error 0.2035 Relative absolute error 39.1611 % Root relative squared error 58.1448 % Total Number of Instances 6225 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.814 0.047 0.744 0.814 0.778 0.975 chest 0.796 0.032 0.804 0.796 0.8 0.97 forearm 0.795 0.035 0.791 0.795 0.793 0.969 head 0.822 0.023 0.856 0.822 0.839 0.979 shin 0.771 0.027 0.829 0.771 0.799 0.973 thigh 0.816 0.03 0.82 0.816 0.818 0.978 upperarm 0.787 0.04 0.768 0.787 0.777 0.968 waist Weighted Avg. 0.8 0.033 0.802 0.8 0.8 0.973 === Confusion Matrix === a b c d e f g <-- classified as 724 35 25 8 26 45 26 | a = chest 56 704 59 7 15 13 30 | b = forearm 40 48 708 14 25 16 40 | c = head 21 19 10 732 36 35 37 | d = shin 54 19 15 42 686 30 44 | e = thigh 35 22 26 25 22 727 34 | f = upperarm 43 29 52 27 18 21 700 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4991 80.1767 % Incorrectly Classified Instances 1234 19.8233 % Kappa statistic 0.7687 Mean absolute error 0.0949 Root mean squared error 0.2025 Relative absolute error 38.7577 % Root relative squared error 57.8734 % Total Number of Instances 6225 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.801 0.045 0.748 0.801 0.773 0.972 chest 0.773 0.033 0.794 0.773 0.784 0.97 forearm 0.798 0.037 0.78 0.798 0.789 0.971 head 0.839 0.021 0.867 0.839 0.853 0.979 shin 0.806 0.028 0.828 0.806 0.817 0.976 thigh 0.807 0.032 0.808 0.807 0.807 0.973 upperarm 0.789 0.034 0.793 0.789 0.791 0.97 waist Weighted Avg. 0.802 0.033 0.803 0.802 0.802 0.973 === Confusion Matrix === a b c d e f g <-- classified as 712 33 27 12 22 51 32 | a = chest 51 684 68 8 15 29 30 | b = forearm 38 52 710 13 33 13 31 | c = head 23 12 6 746 45 33 24 | d = shin 45 12 18 30 718 26 42 | e = thigh 44 22 32 28 22 719 24 | f = upperarm 39 46 49 23 12 19 702 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4991 80.1896 % Incorrectly Classified Instances 1233 19.8104 % Kappa statistic 0.7689 Mean absolute error 0.0966 Root mean squared error 0.2037 Relative absolute error 39.4292 % Root relative squared error 58.2021 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.826 0.046 0.75 0.826 0.786 0.973 chest 0.772 0.031 0.804 0.772 0.788 0.971 forearm 0.796 0.038 0.779 0.796 0.787 0.971 head 0.822 0.022 0.861 0.822 0.841 0.981 shin 0.806 0.028 0.829 0.806 0.817 0.975 thigh 0.824 0.03 0.819 0.824 0.821 0.976 upperarm 0.769 0.036 0.78 0.769 0.774 0.966 waist Weighted Avg. 0.802 0.033 0.803 0.802 0.802 0.973 === Confusion Matrix === a b c d e f g <-- classified as 734 29 17 11 20 45 33 | a = chest 47 683 74 10 10 23 38 | b = forearm 40 50 708 10 33 14 35 | c = head 18 10 6 731 48 40 36 | d = shin 46 16 19 39 717 25 28 | e = thigh 36 22 31 25 20 734 23 | f = upperarm 58 39 54 23 17 15 684 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4983 80.0611 % Incorrectly Classified Instances 1241 19.9389 % Kappa statistic 0.7674 Mean absolute error 0.096 Root mean squared error 0.203 Relative absolute error 39.209 % Root relative squared error 58.0148 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.803 0.046 0.744 0.803 0.772 0.972 chest 0.782 0.031 0.805 0.782 0.793 0.973 forearm 0.818 0.034 0.802 0.818 0.81 0.976 head 0.828 0.023 0.857 0.828 0.842 0.981 shin 0.781 0.026 0.832 0.781 0.806 0.976 thigh 0.818 0.034 0.803 0.818 0.811 0.976 upperarm 0.774 0.039 0.77 0.774 0.772 0.966 waist Weighted Avg. 0.801 0.033 0.802 0.801 0.801 0.974 === Confusion Matrix === a b c d e f g <-- classified as 714 36 27 9 14 50 39 | a = chest 54 691 67 10 11 12 39 | b = forearm 36 39 728 9 24 20 34 | c = head 16 11 10 736 46 39 31 | d = shin 47 17 15 51 695 31 34 | e = thigh 42 23 16 24 28 730 29 | f = upperarm 51 41 45 20 17 27 689 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4939 79.3541 % Incorrectly Classified Instances 1285 20.6459 % Kappa statistic 0.7591 Mean absolute error 0.0974 Root mean squared error 0.2049 Relative absolute error 39.7591 % Root relative squared error 58.5655 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.801 0.044 0.753 0.801 0.776 0.974 chest 0.795 0.026 0.835 0.795 0.815 0.975 forearm 0.801 0.042 0.762 0.801 0.781 0.971 head 0.819 0.028 0.832 0.819 0.825 0.979 shin 0.769 0.029 0.816 0.769 0.792 0.97 thigh 0.816 0.03 0.818 0.816 0.817 0.976 upperarm 0.754 0.043 0.747 0.754 0.751 0.965 waist Weighted Avg. 0.794 0.034 0.795 0.794 0.794 0.973 === Confusion Matrix === a b c d e f g <-- classified as 712 23 30 15 17 51 41 | a = chest 48 703 54 12 12 13 42 | b = forearm 26 51 713 17 25 12 46 | c = head 11 11 9 728 55 31 44 | d = shin 62 11 24 43 684 32 34 | e = thigh 33 20 38 29 24 728 20 | f = upperarm 53 23 68 31 21 23 671 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4968 79.8201 % Incorrectly Classified Instances 1256 20.1799 % Kappa statistic 0.7646 Mean absolute error 0.0964 Root mean squared error 0.2038 Relative absolute error 39.3494 % Root relative squared error 58.2413 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.823 0.049 0.736 0.823 0.777 0.972 chest 0.779 0.03 0.813 0.779 0.796 0.971 forearm 0.781 0.037 0.78 0.781 0.78 0.97 head 0.843 0.023 0.857 0.843 0.85 0.982 shin 0.797 0.03 0.814 0.797 0.805 0.972 thigh 0.809 0.031 0.814 0.809 0.811 0.974 upperarm 0.755 0.035 0.782 0.755 0.768 0.967 waist Weighted Avg. 0.798 0.034 0.799 0.798 0.798 0.973 === Confusion Matrix === a b c d e f g <-- classified as 732 24 26 15 16 45 31 | a = chest 51 689 64 9 12 20 39 | b = forearm 49 47 695 13 31 22 33 | c = head 15 10 8 750 54 21 32 | d = shin 47 19 16 39 709 35 25 | e = thigh 53 12 29 20 29 721 27 | f = upperarm 48 46 53 29 20 22 672 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 5013 80.5431 % Incorrectly Classified Instances 1211 19.4569 % Kappa statistic 0.773 Mean absolute error 0.095 Root mean squared error 0.202 Relative absolute error 38.8103 % Root relative squared error 57.735 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.827 0.042 0.767 0.827 0.796 0.974 chest 0.776 0.03 0.81 0.776 0.793 0.971 forearm 0.822 0.035 0.796 0.822 0.809 0.977 head 0.855 0.03 0.826 0.855 0.84 0.982 shin 0.789 0.026 0.834 0.789 0.811 0.974 thigh 0.807 0.029 0.822 0.807 0.814 0.976 upperarm 0.762 0.034 0.787 0.762 0.774 0.967 waist Weighted Avg. 0.805 0.032 0.806 0.805 0.805 0.974 === Confusion Matrix === a b c d e f g <-- classified as 735 24 16 14 12 47 41 | a = chest 57 686 61 19 12 17 32 | b = forearm 32 43 732 7 35 15 26 | c = head 10 11 13 761 40 29 26 | d = shin 43 15 20 56 702 28 26 | e = thigh 39 20 26 30 25 719 32 | f = upperarm 42 48 52 34 16 20 678 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 5031 80.8323 % Incorrectly Classified Instances 1193 19.1677 % Kappa statistic 0.7764 Mean absolute error 0.0941 Root mean squared error 0.2009 Relative absolute error 38.4209 % Root relative squared error 57.4195 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.793 0.038 0.777 0.793 0.785 0.975 chest 0.79 0.028 0.822 0.79 0.806 0.97 forearm 0.808 0.035 0.794 0.808 0.801 0.974 head 0.835 0.023 0.857 0.835 0.846 0.982 shin 0.826 0.026 0.839 0.826 0.832 0.978 thigh 0.816 0.035 0.797 0.816 0.806 0.975 upperarm 0.791 0.038 0.776 0.791 0.784 0.969 waist Weighted Avg. 0.808 0.032 0.809 0.808 0.808 0.975 === Confusion Matrix === a b c d e f g <-- classified as 705 40 20 14 19 56 35 | a = chest 46 698 49 9 16 16 50 | b = forearm 35 43 719 9 31 25 28 | c = head 11 9 8 743 40 37 42 | d = shin 43 11 17 38 735 20 26 | e = thigh 30 18 39 34 21 727 22 | f = upperarm 37 30 54 20 14 31 704 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 3 FOLD: 0 Correctly Classified Instances 4939 79.3414 % Incorrectly Classified Instances 1286 20.6586 % Kappa statistic 0.759 Mean absolute error 0.0967 Root mean squared error 0.2045 Relative absolute error 39.4797 % Root relative squared error 58.448 % Total Number of Instances 6225 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.79 0.049 0.73 0.79 0.759 0.971 chest 0.779 0.032 0.8 0.779 0.789 0.971 forearm 0.789 0.036 0.784 0.789 0.786 0.972 head 0.827 0.024 0.854 0.827 0.84 0.983 shin 0.801 0.028 0.829 0.801 0.815 0.974 thigh 0.8 0.034 0.799 0.8 0.8 0.972 upperarm 0.769 0.039 0.766 0.769 0.767 0.964 waist Weighted Avg. 0.793 0.034 0.795 0.793 0.794 0.972 === Confusion Matrix === a b c d e f g <-- classified as 702 24 27 12 19 57 48 | a = chest 50 689 65 13 12 22 34 | b = forearm 41 52 703 11 34 11 39 | c = head 22 10 12 735 41 33 36 | d = shin 46 23 12 42 713 27 27 | e = thigh 53 22 25 27 26 713 25 | f = upperarm 47 41 53 21 15 29 684 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4896 78.6506 % Incorrectly Classified Instances 1329 21.3494 % Kappa statistic 0.7509 Mean absolute error 0.0976 Root mean squared error 0.2063 Relative absolute error 39.8386 % Root relative squared error 58.9517 % Total Number of Instances 6225 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.804 0.046 0.745 0.804 0.773 0.974 chest 0.736 0.031 0.799 0.736 0.766 0.967 forearm 0.829 0.039 0.781 0.829 0.805 0.973 head 0.812 0.028 0.826 0.812 0.819 0.978 shin 0.748 0.03 0.807 0.748 0.777 0.967 thigh 0.8 0.037 0.784 0.8 0.792 0.972 upperarm 0.774 0.038 0.771 0.774 0.772 0.969 waist Weighted Avg. 0.787 0.036 0.787 0.787 0.786 0.971 === Confusion Matrix === a b c d e f g <-- classified as 715 34 30 8 19 54 29 | a = chest 67 651 78 9 16 20 43 | b = forearm 22 36 739 13 27 19 35 | c = head 18 13 7 722 60 44 25 | d = shin 43 21 22 66 666 33 39 | e = thigh 50 24 24 33 13 714 34 | f = upperarm 45 36 46 23 24 27 689 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4989 80.1446 % Incorrectly Classified Instances 1236 19.8554 % Kappa statistic 0.7684 Mean absolute error 0.0953 Root mean squared error 0.2026 Relative absolute error 38.8968 % Root relative squared error 57.8961 % Total Number of Instances 6225 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.811 0.047 0.743 0.811 0.776 0.971 chest 0.769 0.028 0.817 0.769 0.793 0.97 forearm 0.788 0.038 0.775 0.788 0.781 0.971 head 0.852 0.025 0.851 0.852 0.851 0.983 shin 0.804 0.026 0.839 0.804 0.822 0.976 thigh 0.817 0.031 0.815 0.817 0.816 0.975 upperarm 0.769 0.037 0.778 0.769 0.773 0.97 waist Weighted Avg. 0.801 0.033 0.803 0.801 0.802 0.974 === Confusion Matrix === a b c d e f g <-- classified as 721 31 22 11 15 53 36 | a = chest 52 680 70 8 13 24 37 | b = forearm 38 51 702 14 30 15 41 | c = head 12 10 8 757 47 25 30 | d = shin 55 7 15 45 716 29 23 | e = thigh 38 23 30 26 18 729 28 | f = upperarm 54 30 59 29 14 20 684 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4977 79.9518 % Incorrectly Classified Instances 1248 20.0482 % Kappa statistic 0.7661 Mean absolute error 0.0966 Root mean squared error 0.2041 Relative absolute error 39.4377 % Root relative squared error 58.3329 % Total Number of Instances 6225 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.812 0.042 0.765 0.812 0.788 0.974 chest 0.798 0.032 0.806 0.798 0.802 0.969 forearm 0.79 0.04 0.766 0.79 0.778 0.968 head 0.826 0.026 0.843 0.826 0.834 0.979 shin 0.801 0.027 0.832 0.801 0.816 0.974 thigh 0.802 0.031 0.811 0.802 0.807 0.972 upperarm 0.767 0.036 0.78 0.767 0.773 0.966 waist Weighted Avg. 0.8 0.033 0.8 0.8 0.8 0.972 === Confusion Matrix === a b c d e f g <-- classified as 722 28 28 21 11 44 35 | a = chest 38 705 70 7 12 19 33 | b = forearm 40 51 703 10 32 21 33 | c = head 19 21 13 735 50 20 32 | d = shin 40 10 20 48 714 32 27 | e = thigh 42 26 24 24 27 715 33 | f = upperarm 43 34 60 27 12 31 683 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 5020 80.6555 % Incorrectly Classified Instances 1204 19.3445 % Kappa statistic 0.7743 Mean absolute error 0.0942 Root mean squared error 0.2008 Relative absolute error 38.4815 % Root relative squared error 57.3823 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.803 0.043 0.759 0.803 0.78 0.973 chest 0.793 0.026 0.837 0.793 0.814 0.977 forearm 0.812 0.038 0.782 0.812 0.797 0.974 head 0.851 0.024 0.854 0.851 0.852 0.983 shin 0.798 0.026 0.834 0.798 0.816 0.976 thigh 0.818 0.032 0.811 0.818 0.815 0.977 upperarm 0.771 0.037 0.776 0.771 0.773 0.967 waist Weighted Avg. 0.807 0.032 0.807 0.807 0.807 0.975 === Confusion Matrix === a b c d e f g <-- classified as 714 24 22 15 21 55 38 | a = chest 44 701 62 10 9 15 43 | b = forearm 30 47 723 8 30 17 35 | c = head 14 7 12 757 37 30 33 | d = shin 54 20 10 39 710 31 26 | e = thigh 33 10 33 36 27 729 23 | f = upperarm 52 29 63 21 17 22 686 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4912 78.9203 % Incorrectly Classified Instances 1312 21.0797 % Kappa statistic 0.7541 Mean absolute error 0.0974 Root mean squared error 0.2051 Relative absolute error 39.7706 % Root relative squared error 58.6219 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.804 0.048 0.735 0.804 0.768 0.97 chest 0.759 0.027 0.823 0.759 0.79 0.969 forearm 0.784 0.037 0.781 0.784 0.783 0.971 head 0.801 0.025 0.843 0.801 0.821 0.978 shin 0.796 0.032 0.805 0.796 0.8 0.971 thigh 0.799 0.034 0.798 0.799 0.799 0.977 upperarm 0.781 0.043 0.751 0.781 0.766 0.969 waist Weighted Avg. 0.789 0.035 0.791 0.789 0.79 0.972 === Confusion Matrix === a b c d e f g <-- classified as 715 25 24 11 22 46 46 | a = chest 60 671 75 14 14 15 35 | b = forearm 42 42 698 9 36 24 39 | c = head 15 15 10 713 62 43 32 | d = shin 40 12 19 40 708 34 37 | e = thigh 45 20 19 30 24 712 41 | f = upperarm 56 30 49 29 13 18 695 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 5001 80.3503 % Incorrectly Classified Instances 1223 19.6497 % Kappa statistic 0.7708 Mean absolute error 0.0954 Root mean squared error 0.2026 Relative absolute error 38.9687 % Root relative squared error 57.8852 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.82 0.046 0.746 0.82 0.781 0.974 chest 0.759 0.027 0.824 0.759 0.79 0.971 forearm 0.788 0.037 0.779 0.788 0.783 0.972 head 0.839 0.023 0.86 0.839 0.849 0.981 shin 0.808 0.026 0.836 0.808 0.822 0.977 thigh 0.815 0.027 0.834 0.815 0.825 0.975 upperarm 0.796 0.042 0.758 0.796 0.776 0.969 waist Weighted Avg. 0.804 0.033 0.805 0.804 0.804 0.974 === Confusion Matrix === a b c d e f g <-- classified as 729 26 26 13 20 44 31 | a = chest 61 671 57 11 11 17 56 | b = forearm 45 51 701 7 31 14 41 | c = head 15 9 14 747 45 27 33 | d = shin 44 11 17 36 719 23 40 | e = thigh 42 13 33 28 24 726 25 | f = upperarm 41 33 52 27 10 19 708 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4927 79.1613 % Incorrectly Classified Instances 1297 20.8387 % Kappa statistic 0.7569 Mean absolute error 0.0969 Root mean squared error 0.2049 Relative absolute error 39.582 % Root relative squared error 58.545 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.8 0.05 0.727 0.8 0.762 0.971 chest 0.761 0.028 0.816 0.761 0.788 0.969 forearm 0.783 0.041 0.762 0.783 0.772 0.97 head 0.842 0.023 0.857 0.842 0.849 0.982 shin 0.775 0.034 0.794 0.775 0.785 0.973 thigh 0.823 0.035 0.798 0.823 0.81 0.977 upperarm 0.757 0.032 0.798 0.757 0.777 0.964 waist Weighted Avg. 0.792 0.035 0.793 0.792 0.792 0.972 === Confusion Matrix === a b c d e f g <-- classified as 711 22 29 13 32 51 31 | a = chest 59 673 69 9 17 17 40 | b = forearm 48 49 697 9 41 24 22 | c = head 17 5 7 749 43 38 31 | d = shin 61 16 20 42 690 29 32 | e = thigh 38 18 32 24 31 733 15 | f = upperarm 44 42 61 28 15 26 674 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 5010 80.4949 % Incorrectly Classified Instances 1214 19.5051 % Kappa statistic 0.7724 Mean absolute error 0.0955 Root mean squared error 0.202 Relative absolute error 39.0028 % Root relative squared error 57.7261 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.843 0.05 0.736 0.843 0.786 0.978 chest 0.791 0.026 0.833 0.791 0.811 0.973 forearm 0.808 0.035 0.792 0.808 0.8 0.975 head 0.834 0.022 0.861 0.834 0.847 0.982 shin 0.78 0.026 0.832 0.78 0.805 0.975 thigh 0.815 0.032 0.808 0.815 0.812 0.973 upperarm 0.765 0.035 0.786 0.765 0.776 0.967 waist Weighted Avg. 0.805 0.033 0.807 0.805 0.805 0.975 === Confusion Matrix === a b c d e f g <-- classified as 749 18 24 6 20 44 28 | a = chest 53 699 62 11 12 15 32 | b = forearm 44 40 719 9 28 18 32 | c = head 24 9 8 742 38 34 35 | d = shin 55 15 17 40 694 38 31 | e = thigh 41 13 29 28 27 726 27 | f = upperarm 51 45 49 26 15 23 681 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 5033 80.8644 % Incorrectly Classified Instances 1191 19.1356 % Kappa statistic 0.7768 Mean absolute error 0.0947 Root mean squared error 0.2015 Relative absolute error 38.673 % Root relative squared error 57.5817 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.81 0.044 0.756 0.81 0.782 0.973 chest 0.788 0.031 0.81 0.788 0.799 0.971 forearm 0.816 0.031 0.812 0.816 0.814 0.978 head 0.829 0.024 0.851 0.829 0.84 0.981 shin 0.811 0.03 0.82 0.811 0.815 0.977 thigh 0.823 0.03 0.823 0.823 0.823 0.977 upperarm 0.784 0.034 0.794 0.784 0.789 0.971 waist Weighted Avg. 0.809 0.032 0.809 0.809 0.809 0.975 === Confusion Matrix === a b c d e f g <-- classified as 720 34 20 10 23 47 35 | a = chest 45 697 53 11 17 21 41 | b = forearm 32 52 726 10 28 13 29 | c = head 13 8 11 737 56 36 28 | d = shin 45 19 10 46 722 24 24 | e = thigh 42 11 32 30 19 733 24 | f = upperarm 56 39 42 22 16 17 698 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 4 FOLD: 0 Correctly Classified Instances 4991 80.1767 % Incorrectly Classified Instances 1234 19.8233 % Kappa statistic 0.7687 Mean absolute error 0.0962 Root mean squared error 0.2034 Relative absolute error 39.2917 % Root relative squared error 58.1189 % Total Number of Instances 6225 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.809 0.046 0.746 0.809 0.776 0.973 chest 0.775 0.028 0.821 0.775 0.797 0.973 forearm 0.807 0.039 0.777 0.807 0.792 0.971 head 0.822 0.022 0.862 0.822 0.842 0.982 shin 0.788 0.027 0.832 0.788 0.809 0.975 thigh 0.817 0.033 0.806 0.817 0.812 0.974 upperarm 0.794 0.037 0.779 0.794 0.787 0.969 waist Weighted Avg. 0.802 0.033 0.803 0.802 0.802 0.974 === Confusion Matrix === a b c d e f g <-- classified as 719 25 27 11 21 41 45 | a = chest 54 685 73 6 9 16 41 | b = forearm 41 47 719 7 29 12 36 | c = head 18 17 6 732 41 48 28 | d = shin 47 11 16 50 701 40 25 | e = thigh 47 15 31 24 21 728 25 | f = upperarm 38 34 53 19 21 18 707 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 5004 80.3855 % Incorrectly Classified Instances 1221 19.6145 % Kappa statistic 0.7712 Mean absolute error 0.0966 Root mean squared error 0.2034 Relative absolute error 39.448 % Root relative squared error 58.1198 % Total Number of Instances 6225 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.822 0.048 0.739 0.822 0.778 0.973 chest 0.781 0.025 0.839 0.781 0.809 0.972 forearm 0.828 0.037 0.788 0.828 0.807 0.975 head 0.824 0.022 0.863 0.824 0.843 0.979 shin 0.792 0.029 0.82 0.792 0.806 0.971 thigh 0.795 0.029 0.82 0.795 0.807 0.975 upperarm 0.785 0.039 0.772 0.785 0.779 0.968 waist Weighted Avg. 0.804 0.033 0.806 0.804 0.804 0.973 === Confusion Matrix === a b c d e f g <-- classified as 731 22 29 13 15 38 41 | a = chest 57 690 58 10 14 17 38 | b = forearm 45 35 738 6 28 14 25 | c = head 13 9 10 733 55 31 39 | d = shin 52 16 12 41 705 32 32 | e = thigh 44 20 31 27 30 708 31 | f = upperarm 47 30 59 19 13 23 699 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 5011 80.498 % Incorrectly Classified Instances 1214 19.502 % Kappa statistic 0.7725 Mean absolute error 0.094 Root mean squared error 0.2016 Relative absolute error 38.3857 % Root relative squared error 57.6207 % Total Number of Instances 6225 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.791 0.04 0.766 0.791 0.778 0.971 chest 0.765 0.028 0.816 0.765 0.79 0.968 forearm 0.792 0.034 0.797 0.792 0.795 0.973 head 0.86 0.025 0.854 0.86 0.857 0.982 shin 0.788 0.029 0.819 0.788 0.803 0.972 thigh 0.834 0.031 0.816 0.834 0.825 0.979 upperarm 0.806 0.04 0.77 0.806 0.787 0.971 waist Weighted Avg. 0.805 0.033 0.805 0.805 0.805 0.974 === Confusion Matrix === a b c d e f g <-- classified as 703 33 30 12 25 52 34 | a = chest 53 676 57 13 13 22 50 | b = forearm 26 46 706 7 42 19 45 | c = head 14 8 8 765 41 19 35 | d = shin 50 12 13 51 701 38 25 | e = thigh 32 15 27 24 25 743 25 | f = upperarm 40 38 45 24 9 17 717 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4916 78.9719 % Incorrectly Classified Instances 1309 21.0281 % Kappa statistic 0.7547 Mean absolute error 0.0971 Root mean squared error 0.2056 Relative absolute error 39.6512 % Root relative squared error 58.7596 % Total Number of Instances 6225 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.832 0.052 0.727 0.832 0.776 0.974 chest 0.76 0.029 0.811 0.76 0.785 0.966 forearm 0.815 0.04 0.773 0.815 0.793 0.975 head 0.819 0.025 0.848 0.819 0.833 0.979 shin 0.771 0.028 0.819 0.771 0.794 0.971 thigh 0.788 0.032 0.806 0.788 0.797 0.973 upperarm 0.743 0.039 0.76 0.743 0.751 0.964 waist Weighted Avg. 0.79 0.035 0.792 0.79 0.79 0.972 === Confusion Matrix === a b c d e f g <-- classified as 740 33 17 8 11 50 30 | a = chest 62 672 74 12 16 14 34 | b = forearm 31 42 725 5 30 15 42 | c = head 24 9 12 729 54 24 38 | d = shin 55 20 14 42 687 40 33 | e = thigh 47 19 24 41 26 702 32 | f = upperarm 59 34 72 23 15 26 661 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 5044 81.0411 % Incorrectly Classified Instances 1180 18.9589 % Kappa statistic 0.7788 Mean absolute error 0.0938 Root mean squared error 0.1995 Relative absolute error 38.2929 % Root relative squared error 56.9993 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.822 0.042 0.764 0.822 0.792 0.975 chest 0.801 0.031 0.811 0.801 0.806 0.976 forearm 0.81 0.032 0.81 0.81 0.81 0.977 head 0.839 0.026 0.845 0.839 0.842 0.983 shin 0.788 0.028 0.823 0.788 0.805 0.975 thigh 0.824 0.029 0.828 0.824 0.826 0.978 upperarm 0.789 0.034 0.797 0.789 0.793 0.972 waist Weighted Avg. 0.81 0.032 0.811 0.81 0.81 0.977 === Confusion Matrix === a b c d e f g <-- classified as 731 30 18 9 26 41 34 | a = chest 57 708 54 7 14 17 27 | b = forearm 40 48 721 9 27 18 27 | c = head 16 8 8 747 46 26 39 | d = shin 39 22 14 53 701 30 31 | e = thigh 32 21 25 33 25 734 21 | f = upperarm 42 36 50 26 13 21 702 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4934 79.2738 % Incorrectly Classified Instances 1290 20.7262 % Kappa statistic 0.7582 Mean absolute error 0.097 Root mean squared error 0.205 Relative absolute error 39.6116 % Root relative squared error 58.5852 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.81 0.046 0.747 0.81 0.777 0.973 chest 0.777 0.028 0.821 0.777 0.798 0.973 forearm 0.779 0.041 0.762 0.779 0.77 0.969 head 0.834 0.028 0.831 0.834 0.832 0.979 shin 0.785 0.031 0.809 0.785 0.797 0.973 thigh 0.8 0.032 0.809 0.8 0.805 0.972 upperarm 0.764 0.037 0.777 0.764 0.771 0.966 waist Weighted Avg. 0.793 0.035 0.794 0.793 0.793 0.972 === Confusion Matrix === a b c d e f g <-- classified as 720 24 31 12 19 48 35 | a = chest 50 687 67 16 11 20 33 | b = forearm 44 53 693 12 33 15 40 | c = head 19 12 9 742 54 32 22 | d = shin 38 19 22 51 699 28 33 | e = thigh 39 13 34 30 30 713 32 | f = upperarm 54 29 54 30 18 25 680 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4961 79.7076 % Incorrectly Classified Instances 1263 20.2924 % Kappa statistic 0.7633 Mean absolute error 0.097 Root mean squared error 0.2043 Relative absolute error 39.6056 % Root relative squared error 58.3696 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.816 0.049 0.735 0.816 0.773 0.972 chest 0.769 0.03 0.81 0.769 0.789 0.968 forearm 0.784 0.041 0.761 0.784 0.773 0.97 head 0.861 0.024 0.857 0.861 0.859 0.986 shin 0.791 0.024 0.846 0.791 0.818 0.976 thigh 0.8 0.03 0.815 0.8 0.808 0.971 upperarm 0.758 0.038 0.767 0.758 0.763 0.965 waist Weighted Avg. 0.797 0.034 0.799 0.797 0.797 0.972 === Confusion Matrix === a b c d e f g <-- classified as 725 28 26 14 14 51 31 | a = chest 54 680 68 11 13 15 43 | b = forearm 51 35 698 11 24 22 49 | c = head 15 11 15 765 32 28 23 | d = shin 48 23 17 44 704 21 33 | e = thigh 48 17 37 21 29 714 26 | f = upperarm 45 46 56 27 16 25 675 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4950 79.5308 % Incorrectly Classified Instances 1274 20.4692 % Kappa statistic 0.7612 Mean absolute error 0.0959 Root mean squared error 0.2038 Relative absolute error 39.1432 % Root relative squared error 58.2451 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.816 0.041 0.769 0.816 0.791 0.973 chest 0.768 0.031 0.802 0.768 0.785 0.967 forearm 0.794 0.036 0.787 0.794 0.791 0.974 head 0.822 0.025 0.843 0.822 0.833 0.979 shin 0.799 0.03 0.818 0.799 0.808 0.973 thigh 0.818 0.032 0.81 0.818 0.814 0.976 upperarm 0.749 0.043 0.742 0.749 0.746 0.965 waist Weighted Avg. 0.795 0.034 0.796 0.795 0.795 0.972 === Confusion Matrix === a b c d e f g <-- classified as 725 21 18 5 20 56 44 | a = chest 37 679 73 12 17 12 54 | b = forearm 29 51 707 9 39 21 34 | c = head 14 12 13 731 50 31 38 | d = shin 53 11 14 45 711 26 30 | e = thigh 38 18 27 31 16 730 32 | f = upperarm 47 55 46 34 16 25 667 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4963 79.7397 % Incorrectly Classified Instances 1261 20.2603 % Kappa statistic 0.7636 Mean absolute error 0.0961 Root mean squared error 0.2035 Relative absolute error 39.2225 % Root relative squared error 58.1576 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.829 0.049 0.739 0.829 0.782 0.977 chest 0.781 0.031 0.809 0.781 0.795 0.972 forearm 0.794 0.035 0.793 0.794 0.793 0.972 head 0.812 0.025 0.843 0.812 0.828 0.979 shin 0.785 0.03 0.814 0.785 0.799 0.972 thigh 0.814 0.031 0.813 0.814 0.813 0.978 upperarm 0.766 0.036 0.78 0.766 0.773 0.967 waist Weighted Avg. 0.797 0.034 0.799 0.797 0.798 0.974 === Confusion Matrix === a b c d e f g <-- classified as 737 17 23 14 18 52 28 | a = chest 40 691 63 12 15 18 46 | b = forearm 40 58 707 14 28 14 29 | c = head 16 13 9 722 56 36 37 | d = shin 61 14 15 43 699 26 32 | e = thigh 48 22 27 25 24 725 20 | f = upperarm 55 39 48 26 19 21 682 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4975 79.9325 % Incorrectly Classified Instances 1249 20.0675 % Kappa statistic 0.7659 Mean absolute error 0.0955 Root mean squared error 0.2028 Relative absolute error 38.9825 % Root relative squared error 57.949 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.792 0.044 0.751 0.792 0.771 0.97 chest 0.781 0.03 0.812 0.781 0.796 0.971 forearm 0.788 0.038 0.775 0.788 0.781 0.972 head 0.827 0.024 0.852 0.827 0.839 0.98 shin 0.806 0.029 0.821 0.806 0.813 0.976 thigh 0.817 0.028 0.832 0.817 0.824 0.978 upperarm 0.785 0.041 0.76 0.785 0.772 0.97 waist Weighted Avg. 0.799 0.033 0.8 0.799 0.8 0.974 === Confusion Matrix === a b c d e f g <-- classified as 704 33 29 12 18 45 48 | a = chest 44 691 68 7 16 17 42 | b = forearm 43 49 701 15 32 10 40 | c = head 14 10 9 735 51 36 34 | d = shin 46 9 21 40 717 24 33 | e = thigh 35 24 24 32 24 728 24 | f = upperarm 51 35 53 22 15 15 699 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 5 FOLD: 0 Correctly Classified Instances 4984 80.0643 % Incorrectly Classified Instances 1241 19.9357 % Kappa statistic 0.7674 Mean absolute error 0.0951 Root mean squared error 0.2021 Relative absolute error 38.8514 % Root relative squared error 57.7516 % Total Number of Instances 6225 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.818 0.04 0.773 0.818 0.795 0.976 chest 0.802 0.032 0.805 0.802 0.803 0.972 forearm 0.77 0.033 0.796 0.77 0.782 0.973 head 0.831 0.025 0.848 0.831 0.839 0.982 shin 0.784 0.03 0.814 0.784 0.799 0.972 thigh 0.813 0.03 0.82 0.813 0.816 0.975 upperarm 0.787 0.043 0.755 0.787 0.771 0.969 waist Weighted Avg. 0.801 0.033 0.801 0.801 0.801 0.974 === Confusion Matrix === a b c d e f g <-- classified as 727 36 23 8 24 37 34 | a = chest 41 709 57 9 14 15 39 | b = forearm 38 55 685 15 29 22 46 | c = head 12 13 8 740 53 25 39 | d = shin 50 17 11 42 698 36 36 | e = thigh 32 14 29 32 27 725 33 | f = upperarm 41 37 48 27 13 24 700 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4926 79.1325 % Incorrectly Classified Instances 1299 20.8675 % Kappa statistic 0.7565 Mean absolute error 0.0967 Root mean squared error 0.2049 Relative absolute error 39.4737 % Root relative squared error 58.5619 % Total Number of Instances 6225 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.802 0.049 0.733 0.802 0.766 0.967 chest 0.785 0.03 0.814 0.785 0.799 0.972 forearm 0.806 0.037 0.785 0.806 0.795 0.974 head 0.817 0.03 0.818 0.817 0.817 0.98 shin 0.785 0.03 0.814 0.785 0.799 0.974 thigh 0.779 0.032 0.802 0.779 0.79 0.971 upperarm 0.765 0.036 0.782 0.765 0.773 0.966 waist Weighted Avg. 0.791 0.035 0.792 0.791 0.792 0.972 === Confusion Matrix === a b c d e f g <-- classified as 713 22 29 25 19 39 42 | a = chest 53 694 61 11 16 18 31 | b = forearm 41 51 717 11 22 21 27 | c = head 16 10 6 727 60 39 32 | d = shin 50 21 12 48 699 36 24 | e = thigh 42 18 35 42 26 695 34 | f = upperarm 58 37 53 25 17 19 681 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4921 79.0522 % Incorrectly Classified Instances 1304 20.9478 % Kappa statistic 0.7556 Mean absolute error 0.096 Root mean squared error 0.205 Relative absolute error 39.1984 % Root relative squared error 58.5743 % Total Number of Instances 6225 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.825 0.046 0.748 0.825 0.784 0.969 chest 0.775 0.033 0.794 0.775 0.784 0.969 forearm 0.791 0.037 0.779 0.791 0.785 0.971 head 0.811 0.028 0.827 0.811 0.819 0.978 shin 0.771 0.024 0.842 0.771 0.805 0.974 thigh 0.801 0.032 0.806 0.801 0.804 0.975 upperarm 0.76 0.043 0.749 0.76 0.754 0.964 waist Weighted Avg. 0.791 0.035 0.792 0.791 0.791 0.972 === Confusion Matrix === a b c d e f g <-- classified as 733 19 23 14 18 50 32 | a = chest 55 685 62 11 10 12 49 | b = forearm 39 57 705 13 25 19 33 | c = head 16 17 11 722 49 30 45 | d = shin 49 15 16 54 686 36 34 | e = thigh 39 25 23 37 19 714 34 | f = upperarm 49 45 65 22 8 25 676 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4994 80.2249 % Incorrectly Classified Instances 1231 19.7751 % Kappa statistic 0.7693 Mean absolute error 0.0943 Root mean squared error 0.2015 Relative absolute error 38.5147 % Root relative squared error 57.5928 % Total Number of Instances 6225 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.829 0.044 0.757 0.829 0.792 0.974 chest 0.77 0.025 0.839 0.77 0.803 0.97 forearm 0.819 0.043 0.76 0.819 0.788 0.974 head 0.824 0.024 0.85 0.824 0.837 0.98 shin 0.798 0.03 0.816 0.798 0.807 0.976 thigh 0.806 0.029 0.822 0.806 0.814 0.975 upperarm 0.77 0.035 0.785 0.77 0.777 0.967 waist Weighted Avg. 0.802 0.033 0.804 0.802 0.802 0.974 === Confusion Matrix === a b c d e f g <-- classified as 737 19 25 10 17 45 36 | a = chest 48 681 78 7 15 14 41 | b = forearm 43 42 730 9 27 14 26 | c = head 16 8 15 733 49 38 31 | d = shin 44 17 12 46 710 28 33 | e = thigh 41 13 36 32 30 718 21 | f = upperarm 44 32 65 25 22 17 685 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4988 80.1414 % Incorrectly Classified Instances 1236 19.8586 % Kappa statistic 0.7683 Mean absolute error 0.0961 Root mean squared error 0.2032 Relative absolute error 39.2315 % Root relative squared error 58.0787 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.825 0.043 0.761 0.825 0.792 0.976 chest 0.775 0.027 0.825 0.775 0.799 0.971 forearm 0.788 0.032 0.803 0.788 0.795 0.971 head 0.841 0.025 0.847 0.841 0.844 0.981 shin 0.788 0.031 0.809 0.788 0.798 0.973 thigh 0.811 0.038 0.781 0.811 0.796 0.975 upperarm 0.782 0.035 0.79 0.782 0.786 0.97 waist Weighted Avg. 0.801 0.033 0.802 0.801 0.801 0.974 === Confusion Matrix === a b c d e f g <-- classified as 733 16 15 10 21 59 35 | a = chest 54 685 61 9 22 23 30 | b = forearm 36 46 702 5 34 30 38 | c = head 13 9 11 748 46 35 27 | d = shin 46 19 11 48 701 36 29 | e = thigh 36 20 26 28 32 723 26 | f = upperarm 45 35 48 35 11 20 696 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4994 80.2378 % Incorrectly Classified Instances 1230 19.7622 % Kappa statistic 0.7694 Mean absolute error 0.0962 Root mean squared error 0.2036 Relative absolute error 39.2948 % Root relative squared error 58.1942 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.804 0.044 0.751 0.804 0.777 0.97 chest 0.777 0.028 0.823 0.777 0.799 0.972 forearm 0.833 0.038 0.784 0.833 0.808 0.975 head 0.837 0.023 0.86 0.837 0.848 0.982 shin 0.788 0.029 0.817 0.788 0.802 0.974 thigh 0.809 0.032 0.811 0.809 0.81 0.976 upperarm 0.769 0.037 0.778 0.769 0.773 0.966 waist Weighted Avg. 0.802 0.033 0.803 0.802 0.803 0.973 === Confusion Matrix === a b c d e f g <-- classified as 715 29 29 15 20 45 36 | a = chest 46 687 68 12 8 22 41 | b = forearm 32 39 741 7 33 12 26 | c = head 16 11 9 744 54 31 24 | d = shin 51 16 21 37 702 32 32 | e = thigh 41 15 27 28 23 721 36 | f = upperarm 51 38 50 22 19 26 684 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4992 80.2057 % Incorrectly Classified Instances 1232 19.7943 % Kappa statistic 0.7691 Mean absolute error 0.095 Root mean squared error 0.2017 Relative absolute error 38.7938 % Root relative squared error 57.6405 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.81 0.045 0.748 0.81 0.778 0.974 chest 0.766 0.029 0.812 0.766 0.788 0.972 forearm 0.802 0.034 0.796 0.802 0.799 0.974 head 0.829 0.019 0.877 0.829 0.853 0.983 shin 0.807 0.03 0.817 0.807 0.812 0.974 thigh 0.819 0.035 0.799 0.819 0.809 0.975 upperarm 0.781 0.038 0.775 0.781 0.778 0.97 waist Weighted Avg. 0.802 0.033 0.803 0.802 0.802 0.975 === Confusion Matrix === a b c d e f g <-- classified as 720 31 18 9 15 58 38 | a = chest 45 678 61 13 21 23 44 | b = forearm 30 48 714 7 36 20 35 | c = head 20 7 10 737 47 31 37 | d = shin 51 21 18 33 718 26 23 | e = thigh 48 15 29 22 22 730 25 | f = upperarm 48 35 47 19 20 26 695 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 5011 80.5109 % Incorrectly Classified Instances 1213 19.4891 % Kappa statistic 0.7726 Mean absolute error 0.0957 Root mean squared error 0.2024 Relative absolute error 39.0869 % Root relative squared error 57.8321 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.811 0.042 0.764 0.811 0.787 0.974 chest 0.79 0.035 0.79 0.79 0.79 0.973 forearm 0.791 0.035 0.79 0.791 0.791 0.974 head 0.841 0.023 0.857 0.841 0.849 0.984 shin 0.797 0.027 0.829 0.797 0.813 0.974 thigh 0.818 0.029 0.825 0.818 0.821 0.976 upperarm 0.788 0.036 0.786 0.788 0.787 0.966 waist Weighted Avg. 0.805 0.032 0.806 0.805 0.805 0.975 === Confusion Matrix === a b c d e f g <-- classified as 721 44 28 7 14 51 24 | a = chest 48 699 65 8 15 18 32 | b = forearm 36 55 704 11 38 11 35 | c = head 13 9 10 748 45 28 36 | d = shin 43 8 20 46 709 32 32 | e = thigh 35 22 24 32 17 729 32 | f = upperarm 48 48 40 21 17 15 701 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4989 80.1575 % Incorrectly Classified Instances 1235 19.8425 % Kappa statistic 0.7685 Mean absolute error 0.0983 Root mean squared error 0.2057 Relative absolute error 40.1327 % Root relative squared error 58.7705 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.821 0.049 0.738 0.821 0.777 0.972 chest 0.75 0.028 0.817 0.75 0.782 0.968 forearm 0.802 0.039 0.774 0.802 0.788 0.967 head 0.838 0.021 0.867 0.838 0.853 0.983 shin 0.792 0.029 0.821 0.792 0.806 0.972 thigh 0.828 0.032 0.813 0.828 0.82 0.973 upperarm 0.779 0.034 0.794 0.779 0.786 0.97 waist Weighted Avg. 0.802 0.033 0.803 0.802 0.802 0.972 === Confusion Matrix === a b c d e f g <-- classified as 730 33 21 13 12 51 29 | a = chest 55 663 83 9 20 23 31 | b = forearm 33 44 714 15 33 15 36 | c = head 19 11 4 746 51 27 32 | d = shin 55 14 15 31 705 36 34 | e = thigh 53 16 28 17 21 738 18 | f = upperarm 44 31 58 29 17 18 693 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 5001 80.3503 % Incorrectly Classified Instances 1223 19.6497 % Kappa statistic 0.7708 Mean absolute error 0.0957 Root mean squared error 0.2027 Relative absolute error 39.0757 % Root relative squared error 57.9277 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.837 0.042 0.767 0.837 0.8 0.975 chest 0.774 0.023 0.845 0.774 0.808 0.974 forearm 0.819 0.039 0.779 0.819 0.798 0.973 head 0.817 0.029 0.822 0.817 0.82 0.979 shin 0.79 0.029 0.821 0.79 0.805 0.974 thigh 0.824 0.031 0.818 0.824 0.821 0.977 upperarm 0.764 0.036 0.78 0.764 0.772 0.968 waist Weighted Avg. 0.804 0.033 0.805 0.804 0.804 0.974 === Confusion Matrix === a b c d e f g <-- classified as 744 23 25 5 12 43 37 | a = chest 43 684 69 14 14 20 40 | b = forearm 30 37 729 14 36 14 30 | c = head 25 11 6 727 39 39 43 | d = shin 44 11 20 53 703 32 27 | e = thigh 44 15 23 33 27 734 15 | f = upperarm 40 28 64 38 25 15 680 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 6 FOLD: 0 Correctly Classified Instances 4899 78.6988 % Incorrectly Classified Instances 1326 21.3012 % Kappa statistic 0.7515 Mean absolute error 0.0977 Root mean squared error 0.2057 Relative absolute error 39.8933 % Root relative squared error 58.7928 % Total Number of Instances 6225 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.831 0.051 0.732 0.831 0.778 0.976 chest 0.747 0.029 0.81 0.747 0.777 0.97 forearm 0.788 0.036 0.783 0.788 0.786 0.973 head 0.833 0.028 0.834 0.833 0.833 0.982 shin 0.776 0.034 0.794 0.776 0.785 0.97 thigh 0.78 0.034 0.794 0.78 0.787 0.97 upperarm 0.754 0.037 0.771 0.754 0.763 0.965 waist Weighted Avg. 0.787 0.036 0.788 0.787 0.787 0.972 === Confusion Matrix === a b c d e f g <-- classified as 739 24 22 10 17 48 29 | a = chest 67 660 60 10 17 26 44 | b = forearm 34 51 702 9 41 20 34 | c = head 16 14 9 741 56 24 30 | d = shin 51 13 15 54 691 38 28 | e = thigh 39 16 36 38 33 695 34 | f = upperarm 64 37 52 27 15 24 671 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4936 79.2932 % Incorrectly Classified Instances 1289 20.7068 % Kappa statistic 0.7584 Mean absolute error 0.0981 Root mean squared error 0.2063 Relative absolute error 40.0623 % Root relative squared error 58.9637 % Total Number of Instances 6225 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.803 0.045 0.748 0.803 0.775 0.967 chest 0.779 0.028 0.822 0.779 0.8 0.969 forearm 0.802 0.043 0.757 0.802 0.779 0.97 head 0.827 0.029 0.825 0.827 0.826 0.977 shin 0.78 0.025 0.836 0.78 0.807 0.974 thigh 0.8 0.031 0.81 0.8 0.805 0.976 upperarm 0.758 0.04 0.762 0.758 0.76 0.966 waist Weighted Avg. 0.793 0.035 0.794 0.793 0.793 0.971 === Confusion Matrix === a b c d e f g <-- classified as 714 19 34 14 17 56 35 | a = chest 41 689 79 9 15 17 34 | b = forearm 37 49 715 11 24 15 40 | c = head 19 15 9 736 42 34 35 | d = shin 50 15 13 61 694 21 36 | e = thigh 41 20 29 34 23 713 31 | f = upperarm 52 31 66 27 15 24 675 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4983 80.0482 % Incorrectly Classified Instances 1242 19.9518 % Kappa statistic 0.7672 Mean absolute error 0.0953 Root mean squared error 0.2029 Relative absolute error 38.9317 % Root relative squared error 57.9762 % Total Number of Instances 6225 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.818 0.047 0.743 0.818 0.779 0.974 chest 0.782 0.032 0.801 0.782 0.791 0.973 forearm 0.793 0.035 0.792 0.793 0.793 0.974 head 0.835 0.028 0.835 0.835 0.835 0.981 shin 0.783 0.025 0.84 0.783 0.81 0.973 thigh 0.834 0.034 0.806 0.834 0.82 0.976 upperarm 0.758 0.033 0.795 0.758 0.776 0.965 waist Weighted Avg. 0.8 0.033 0.802 0.8 0.801 0.974 === Confusion Matrix === a b c d e f g <-- classified as 727 30 16 14 15 56 31 | a = chest 44 691 65 12 14 21 37 | b = forearm 45 50 707 12 34 14 29 | c = head 13 16 10 743 41 38 29 | d = shin 55 18 14 47 697 33 26 | e = thigh 37 19 32 26 12 743 22 | f = upperarm 57 39 49 36 17 17 675 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4983 80.0482 % Incorrectly Classified Instances 1242 19.9518 % Kappa statistic 0.7672 Mean absolute error 0.0965 Root mean squared error 0.2031 Relative absolute error 39.3905 % Root relative squared error 58.0346 % Total Number of Instances 6225 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.839 0.047 0.75 0.839 0.792 0.978 chest 0.782 0.028 0.824 0.782 0.802 0.971 forearm 0.794 0.036 0.787 0.794 0.791 0.972 head 0.827 0.026 0.841 0.827 0.834 0.982 shin 0.748 0.026 0.829 0.748 0.787 0.969 thigh 0.837 0.034 0.803 0.837 0.82 0.977 upperarm 0.775 0.037 0.78 0.775 0.777 0.97 waist Weighted Avg. 0.8 0.033 0.802 0.8 0.8 0.974 === Confusion Matrix === a b c d e f g <-- classified as 746 18 22 10 21 42 30 | a = chest 48 691 62 12 10 22 39 | b = forearm 34 47 707 12 31 23 36 | c = head 22 13 11 736 44 39 25 | d = shin 57 25 17 51 666 35 39 | e = thigh 34 13 22 29 21 747 26 | f = upperarm 54 32 57 25 10 22 690 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4978 79.9807 % Incorrectly Classified Instances 1246 20.0193 % Kappa statistic 0.7664 Mean absolute error 0.096 Root mean squared error 0.2039 Relative absolute error 39.1958 % Root relative squared error 58.2801 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.813 0.041 0.768 0.813 0.79 0.972 chest 0.788 0.031 0.81 0.788 0.799 0.972 forearm 0.798 0.042 0.759 0.798 0.778 0.971 head 0.835 0.025 0.85 0.835 0.842 0.982 shin 0.794 0.026 0.834 0.794 0.814 0.976 thigh 0.816 0.033 0.804 0.816 0.81 0.974 upperarm 0.754 0.035 0.781 0.754 0.767 0.966 waist Weighted Avg. 0.8 0.033 0.801 0.8 0.8 0.973 === Confusion Matrix === a b c d e f g <-- classified as 723 26 26 8 21 51 34 | a = chest 46 697 80 2 13 16 30 | b = forearm 39 48 710 11 30 18 34 | c = head 21 8 9 742 34 35 40 | d = shin 34 20 17 57 707 27 28 | e = thigh 34 22 27 29 30 728 22 | f = upperarm 45 40 67 24 13 30 671 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 5032 80.8483 % Incorrectly Classified Instances 1192 19.1517 % Kappa statistic 0.7766 Mean absolute error 0.0941 Root mean squared error 0.2006 Relative absolute error 38.4252 % Root relative squared error 57.321 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.828 0.047 0.746 0.828 0.785 0.976 chest 0.811 0.026 0.838 0.811 0.824 0.976 forearm 0.812 0.035 0.794 0.812 0.803 0.975 head 0.84 0.025 0.849 0.84 0.845 0.98 shin 0.81 0.028 0.829 0.81 0.82 0.974 thigh 0.777 0.026 0.835 0.777 0.805 0.972 upperarm 0.781 0.037 0.78 0.781 0.78 0.969 waist Weighted Avg. 0.808 0.032 0.81 0.808 0.809 0.975 === Confusion Matrix === a b c d e f g <-- classified as 736 18 21 12 22 47 33 | a = chest 52 717 53 7 9 7 39 | b = forearm 34 42 723 14 32 12 33 | c = head 16 6 11 747 51 30 28 | d = shin 41 17 16 46 722 25 24 | e = thigh 52 17 38 32 21 692 39 | f = upperarm 55 39 49 22 14 16 695 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 5013 80.5431 % Incorrectly Classified Instances 1211 19.4569 % Kappa statistic 0.773 Mean absolute error 0.0957 Root mean squared error 0.2018 Relative absolute error 39.0764 % Root relative squared error 57.6777 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.801 0.044 0.753 0.801 0.776 0.972 chest 0.805 0.026 0.835 0.805 0.819 0.976 forearm 0.821 0.04 0.774 0.821 0.797 0.974 head 0.829 0.022 0.864 0.829 0.846 0.98 shin 0.792 0.023 0.849 0.792 0.82 0.974 thigh 0.808 0.032 0.81 0.808 0.809 0.976 upperarm 0.782 0.04 0.766 0.782 0.774 0.97 waist Weighted Avg. 0.805 0.032 0.807 0.805 0.806 0.975 === Confusion Matrix === a b c d e f g <-- classified as 712 27 33 15 14 49 39 | a = chest 41 712 58 15 9 14 36 | b = forearm 36 34 731 10 25 19 35 | c = head 20 9 19 737 41 32 31 | d = shin 55 15 19 24 705 28 44 | e = thigh 48 20 28 26 21 720 28 | f = upperarm 34 36 56 26 15 27 696 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4988 80.1414 % Incorrectly Classified Instances 1236 19.8586 % Kappa statistic 0.7683 Mean absolute error 0.0948 Root mean squared error 0.2016 Relative absolute error 38.7201 % Root relative squared error 57.6225 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.803 0.049 0.734 0.803 0.767 0.973 chest 0.784 0.03 0.814 0.784 0.799 0.973 forearm 0.8 0.031 0.813 0.8 0.806 0.975 head 0.84 0.022 0.863 0.84 0.851 0.983 shin 0.793 0.027 0.829 0.793 0.811 0.976 thigh 0.804 0.032 0.806 0.804 0.805 0.975 upperarm 0.785 0.041 0.763 0.785 0.774 0.97 waist Weighted Avg. 0.801 0.033 0.803 0.801 0.802 0.975 === Confusion Matrix === a b c d e f g <-- classified as 714 31 21 5 21 52 45 | a = chest 57 694 54 10 6 17 47 | b = forearm 37 52 712 11 26 17 35 | c = head 13 9 7 747 48 28 37 | d = shin 58 18 14 35 706 29 30 | e = thigh 52 13 22 35 30 716 23 | f = upperarm 42 36 46 23 15 29 699 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4965 79.7719 % Incorrectly Classified Instances 1259 20.2281 % Kappa statistic 0.764 Mean absolute error 0.0944 Root mean squared error 0.2029 Relative absolute error 38.5645 % Root relative squared error 57.9891 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.792 0.043 0.754 0.792 0.772 0.973 chest 0.778 0.033 0.795 0.778 0.787 0.969 forearm 0.779 0.04 0.762 0.779 0.77 0.967 head 0.82 0.021 0.869 0.82 0.844 0.981 shin 0.8 0.027 0.832 0.8 0.816 0.972 thigh 0.824 0.028 0.833 0.824 0.828 0.979 upperarm 0.791 0.044 0.75 0.791 0.77 0.967 waist Weighted Avg. 0.798 0.034 0.799 0.798 0.798 0.972 === Confusion Matrix === a b c d e f g <-- classified as 704 39 29 10 22 40 45 | a = chest 39 688 80 8 12 16 41 | b = forearm 45 58 693 11 28 17 38 | c = head 21 7 12 730 54 24 42 | d = shin 46 17 12 38 712 30 35 | e = thigh 40 24 23 22 14 734 34 | f = upperarm 39 32 60 21 14 20 704 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4939 79.3541 % Incorrectly Classified Instances 1285 20.6459 % Kappa statistic 0.7591 Mean absolute error 0.0961 Root mean squared error 0.2039 Relative absolute error 39.2451 % Root relative squared error 58.2743 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.802 0.047 0.74 0.802 0.77 0.971 chest 0.726 0.028 0.814 0.726 0.767 0.966 forearm 0.8 0.037 0.784 0.8 0.792 0.973 head 0.826 0.023 0.856 0.826 0.84 0.982 shin 0.827 0.032 0.811 0.827 0.819 0.979 thigh 0.807 0.034 0.799 0.807 0.803 0.973 upperarm 0.766 0.04 0.761 0.766 0.764 0.968 waist Weighted Avg. 0.794 0.034 0.795 0.794 0.794 0.973 === Confusion Matrix === a b c d e f g <-- classified as 713 28 33 14 20 47 34 | a = chest 64 642 72 18 16 22 50 | b = forearm 35 48 712 12 24 21 38 | c = head 12 9 6 735 54 37 37 | d = shin 40 10 12 38 736 29 25 | e = thigh 40 17 28 20 37 719 30 | f = upperarm 60 35 45 22 21 25 682 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 7 FOLD: 0 Correctly Classified Instances 4976 79.9357 % Incorrectly Classified Instances 1249 20.0643 % Kappa statistic 0.7659 Mean absolute error 0.0975 Root mean squared error 0.2049 Relative absolute error 39.8176 % Root relative squared error 58.5689 % Total Number of Instances 6225 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.802 0.044 0.754 0.802 0.777 0.973 chest 0.775 0.034 0.789 0.775 0.782 0.97 forearm 0.801 0.033 0.803 0.801 0.802 0.971 head 0.818 0.025 0.845 0.818 0.831 0.98 shin 0.794 0.029 0.822 0.794 0.808 0.971 thigh 0.822 0.034 0.802 0.822 0.812 0.975 upperarm 0.783 0.036 0.786 0.783 0.784 0.969 waist Weighted Avg. 0.799 0.033 0.8 0.799 0.8 0.973 === Confusion Matrix === a b c d e f g <-- classified as 713 32 22 11 24 57 30 | a = chest 55 685 69 5 11 16 43 | b = forearm 35 58 713 17 21 18 28 | c = head 19 19 6 728 54 30 34 | d = shin 52 19 11 47 707 29 25 | e = thigh 36 21 27 27 18 733 30 | f = upperarm 36 34 40 27 25 31 697 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4981 80.0161 % Incorrectly Classified Instances 1244 19.9839 % Kappa statistic 0.7669 Mean absolute error 0.0951 Root mean squared error 0.2023 Relative absolute error 38.82 % Root relative squared error 57.7987 % Total Number of Instances 6225 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.814 0.046 0.748 0.814 0.78 0.974 chest 0.774 0.03 0.812 0.774 0.793 0.975 forearm 0.819 0.036 0.79 0.819 0.804 0.974 head 0.846 0.022 0.864 0.846 0.855 0.982 shin 0.789 0.023 0.852 0.789 0.819 0.975 thigh 0.789 0.032 0.803 0.789 0.796 0.972 upperarm 0.77 0.044 0.745 0.77 0.757 0.965 waist Weighted Avg. 0.8 0.033 0.802 0.8 0.801 0.974 === Confusion Matrix === a b c d e f g <-- classified as 724 26 23 15 13 51 37 | a = chest 55 684 65 8 13 14 45 | b = forearm 27 54 730 9 26 12 33 | c = head 10 5 4 753 43 32 43 | d = shin 41 19 19 37 702 32 40 | e = thigh 57 21 30 27 17 703 36 | f = upperarm 54 33 53 23 10 32 685 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 5001 80.3373 % Incorrectly Classified Instances 1224 19.6627 % Kappa statistic 0.7706 Mean absolute error 0.0956 Root mean squared error 0.2022 Relative absolute error 39.0535 % Root relative squared error 57.7763 % Total Number of Instances 6225 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.809 0.041 0.768 0.809 0.788 0.973 chest 0.783 0.03 0.813 0.783 0.798 0.971 forearm 0.816 0.035 0.795 0.816 0.805 0.977 head 0.822 0.03 0.822 0.822 0.822 0.979 shin 0.798 0.028 0.828 0.798 0.812 0.975 thigh 0.824 0.031 0.817 0.824 0.821 0.976 upperarm 0.772 0.036 0.783 0.772 0.778 0.972 waist Weighted Avg. 0.803 0.033 0.804 0.803 0.803 0.975 === Confusion Matrix === a b c d e f g <-- classified as 719 31 24 14 19 54 28 | a = chest 56 692 56 12 14 13 41 | b = forearm 26 50 727 8 28 20 32 | c = head 16 13 13 732 52 34 30 | d = shin 41 24 13 49 710 25 28 | e = thigh 31 14 28 32 21 734 31 | f = upperarm 47 27 54 43 14 18 687 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4978 79.9679 % Incorrectly Classified Instances 1247 20.0321 % Kappa statistic 0.7663 Mean absolute error 0.0954 Root mean squared error 0.2024 Relative absolute error 38.959 % Root relative squared error 57.8398 % Total Number of Instances 6225 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.817 0.048 0.741 0.817 0.777 0.972 chest 0.787 0.029 0.817 0.787 0.802 0.972 forearm 0.806 0.038 0.778 0.806 0.792 0.971 head 0.837 0.024 0.851 0.837 0.844 0.981 shin 0.779 0.029 0.819 0.779 0.798 0.974 thigh 0.816 0.029 0.825 0.816 0.821 0.978 upperarm 0.756 0.037 0.775 0.756 0.766 0.969 waist Weighted Avg. 0.8 0.033 0.801 0.8 0.8 0.974 === Confusion Matrix === a b c d e f g <-- classified as 726 25 19 13 22 44 40 | a = chest 41 696 64 14 13 17 39 | b = forearm 43 40 718 6 37 15 32 | c = head 22 8 7 745 49 33 26 | d = shin 55 22 15 44 693 25 36 | e = thigh 46 19 32 26 19 727 22 | f = upperarm 47 42 68 27 13 20 673 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4917 79.0006 % Incorrectly Classified Instances 1307 20.9994 % Kappa statistic 0.755 Mean absolute error 0.0977 Root mean squared error 0.2063 Relative absolute error 39.8973 % Root relative squared error 58.9605 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.787 0.049 0.729 0.787 0.757 0.969 chest 0.726 0.028 0.81 0.726 0.766 0.966 forearm 0.808 0.039 0.776 0.808 0.792 0.973 head 0.836 0.025 0.85 0.836 0.843 0.982 shin 0.798 0.03 0.817 0.798 0.807 0.974 thigh 0.806 0.033 0.805 0.806 0.805 0.973 upperarm 0.769 0.042 0.752 0.769 0.76 0.964 waist Weighted Avg. 0.79 0.035 0.791 0.79 0.79 0.972 === Confusion Matrix === a b c d e f g <-- classified as 700 25 26 11 19 57 51 | a = chest 73 642 69 6 19 21 54 | b = forearm 37 48 719 9 32 12 33 | c = head 16 10 12 744 41 29 38 | d = shin 45 24 13 41 710 31 26 | e = thigh 39 13 38 37 23 718 23 | f = upperarm 50 31 49 27 25 24 684 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 5017 80.6073 % Incorrectly Classified Instances 1207 19.3927 % Kappa statistic 0.7738 Mean absolute error 0.0944 Root mean squared error 0.2014 Relative absolute error 38.5553 % Root relative squared error 57.5464 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.823 0.044 0.756 0.823 0.788 0.974 chest 0.791 0.027 0.827 0.791 0.809 0.974 forearm 0.798 0.036 0.786 0.798 0.792 0.972 head 0.86 0.023 0.862 0.86 0.861 0.985 shin 0.792 0.028 0.825 0.792 0.808 0.973 thigh 0.799 0.028 0.827 0.799 0.813 0.976 upperarm 0.78 0.04 0.767 0.78 0.773 0.967 waist Weighted Avg. 0.806 0.032 0.807 0.806 0.806 0.974 === Confusion Matrix === a b c d e f g <-- classified as 732 30 24 10 15 40 38 | a = chest 30 699 68 12 21 13 41 | b = forearm 36 40 710 9 26 25 44 | c = head 10 9 10 765 38 27 31 | d = shin 51 18 21 38 705 28 29 | e = thigh 47 16 26 30 32 712 28 | f = upperarm 62 33 44 23 18 16 694 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4989 80.1575 % Incorrectly Classified Instances 1235 19.8425 % Kappa statistic 0.7685 Mean absolute error 0.0953 Root mean squared error 0.2026 Relative absolute error 38.9327 % Root relative squared error 57.89 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.819 0.043 0.76 0.819 0.788 0.974 chest 0.794 0.028 0.824 0.794 0.809 0.973 forearm 0.801 0.036 0.787 0.801 0.794 0.974 head 0.814 0.025 0.843 0.814 0.828 0.978 shin 0.788 0.03 0.816 0.788 0.802 0.976 thigh 0.807 0.033 0.805 0.807 0.806 0.971 upperarm 0.788 0.037 0.782 0.788 0.785 0.966 waist Weighted Avg. 0.802 0.033 0.802 0.802 0.802 0.973 === Confusion Matrix === a b c d e f g <-- classified as 728 20 17 12 22 51 39 | a = chest 43 702 60 13 12 20 34 | b = forearm 46 46 713 8 30 13 34 | c = head 13 14 15 724 58 38 27 | d = shin 43 13 19 54 702 31 29 | e = thigh 40 20 28 30 22 719 32 | f = upperarm 45 37 54 18 14 21 701 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4994 80.2378 % Incorrectly Classified Instances 1230 19.7622 % Kappa statistic 0.7694 Mean absolute error 0.095 Root mean squared error 0.202 Relative absolute error 38.7998 % Root relative squared error 57.7248 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.831 0.046 0.75 0.831 0.789 0.976 chest 0.78 0.029 0.818 0.78 0.798 0.973 forearm 0.801 0.036 0.787 0.801 0.794 0.971 head 0.846 0.024 0.853 0.846 0.849 0.982 shin 0.77 0.027 0.825 0.77 0.797 0.973 thigh 0.819 0.032 0.813 0.819 0.816 0.978 upperarm 0.77 0.036 0.779 0.77 0.774 0.966 waist Weighted Avg. 0.802 0.033 0.804 0.802 0.802 0.974 === Confusion Matrix === a b c d e f g <-- classified as 739 22 26 9 21 40 32 | a = chest 46 690 66 12 14 18 39 | b = forearm 39 46 713 12 34 20 26 | c = head 15 9 3 752 41 32 37 | d = shin 51 20 15 47 685 37 35 | e = thigh 45 11 27 29 24 730 25 | f = upperarm 50 46 56 21 11 21 685 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4994 80.2378 % Incorrectly Classified Instances 1230 19.7622 % Kappa statistic 0.7694 Mean absolute error 0.0952 Root mean squared error 0.2027 Relative absolute error 38.8879 % Root relative squared error 57.9285 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.831 0.044 0.76 0.831 0.794 0.975 chest 0.784 0.028 0.821 0.784 0.802 0.969 forearm 0.81 0.041 0.766 0.81 0.788 0.973 head 0.818 0.025 0.844 0.818 0.831 0.979 shin 0.789 0.028 0.825 0.789 0.806 0.976 thigh 0.808 0.029 0.826 0.808 0.817 0.976 upperarm 0.776 0.036 0.784 0.776 0.78 0.97 waist Weighted Avg. 0.802 0.033 0.804 0.802 0.803 0.974 === Confusion Matrix === a b c d e f g <-- classified as 739 19 32 13 14 33 39 | a = chest 53 694 67 7 7 25 32 | b = forearm 32 46 721 13 33 12 33 | c = head 23 11 16 727 52 29 31 | d = shin 46 9 11 52 702 32 38 | e = thigh 42 22 36 26 28 720 17 | f = upperarm 38 44 58 23 15 21 691 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4897 78.6793 % Incorrectly Classified Instances 1327 21.3207 % Kappa statistic 0.7513 Mean absolute error 0.0972 Root mean squared error 0.2063 Relative absolute error 39.6787 % Root relative squared error 58.9533 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.817 0.051 0.728 0.817 0.77 0.973 chest 0.783 0.028 0.825 0.783 0.803 0.969 forearm 0.769 0.039 0.768 0.769 0.768 0.967 head 0.807 0.023 0.852 0.807 0.828 0.979 shin 0.774 0.029 0.816 0.774 0.795 0.971 thigh 0.797 0.037 0.781 0.797 0.789 0.973 upperarm 0.762 0.042 0.752 0.762 0.757 0.965 waist Weighted Avg. 0.787 0.036 0.789 0.787 0.787 0.971 === Confusion Matrix === a b c d e f g <-- classified as 726 28 16 9 15 52 43 | a = chest 51 692 66 9 10 22 34 | b = forearm 49 45 684 13 43 21 35 | c = head 18 7 17 717 51 41 38 | d = shin 54 11 18 44 689 35 39 | e = thigh 51 21 26 28 21 711 34 | f = upperarm 48 35 64 22 15 28 678 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 8 FOLD: 0 Correctly Classified Instances 4971 79.8554 % Incorrectly Classified Instances 1254 20.1446 % Kappa statistic 0.765 Mean absolute error 0.0959 Root mean squared error 0.2038 Relative absolute error 39.1562 % Root relative squared error 58.2288 % Total Number of Instances 6225 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.821 0.043 0.762 0.821 0.79 0.975 chest 0.77 0.031 0.803 0.77 0.786 0.967 forearm 0.789 0.038 0.776 0.789 0.782 0.974 head 0.825 0.023 0.855 0.825 0.84 0.98 shin 0.783 0.028 0.821 0.783 0.802 0.972 thigh 0.804 0.031 0.811 0.804 0.807 0.97 upperarm 0.798 0.04 0.769 0.798 0.783 0.968 waist Weighted Avg. 0.799 0.034 0.8 0.799 0.799 0.972 === Confusion Matrix === a b c d e f g <-- classified as 730 34 17 7 19 54 28 | a = chest 50 681 72 7 10 20 44 | b = forearm 39 49 703 14 29 15 42 | c = head 20 13 17 733 44 28 34 | d = shin 42 20 23 45 698 30 33 | e = thigh 37 22 27 22 35 716 32 | f = upperarm 40 29 47 29 15 20 710 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4932 79.2289 % Incorrectly Classified Instances 1293 20.7711 % Kappa statistic 0.7577 Mean absolute error 0.0989 Root mean squared error 0.2072 Relative absolute error 40.3854 % Root relative squared error 59.2043 % Total Number of Instances 6225 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.791 0.046 0.742 0.791 0.766 0.968 chest 0.752 0.027 0.823 0.752 0.786 0.967 forearm 0.814 0.041 0.77 0.814 0.791 0.97 head 0.833 0.027 0.838 0.833 0.835 0.98 shin 0.803 0.033 0.802 0.803 0.803 0.975 thigh 0.808 0.034 0.798 0.808 0.803 0.972 upperarm 0.745 0.035 0.779 0.745 0.762 0.964 waist Weighted Avg. 0.792 0.035 0.793 0.792 0.792 0.971 === Confusion Matrix === a b c d e f g <-- classified as 703 31 24 12 27 56 36 | a = chest 60 665 75 13 7 23 41 | b = forearm 36 37 725 11 40 19 23 | c = head 17 5 9 741 51 40 27 | d = shin 43 14 18 43 715 23 34 | e = thigh 33 12 35 34 30 720 27 | f = upperarm 55 44 56 30 21 21 663 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4937 79.3092 % Incorrectly Classified Instances 1288 20.6908 % Kappa statistic 0.7586 Mean absolute error 0.0965 Root mean squared error 0.2047 Relative absolute error 39.4208 % Root relative squared error 58.4995 % Total Number of Instances 6225 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.807 0.044 0.752 0.807 0.778 0.971 chest 0.761 0.032 0.799 0.761 0.78 0.972 forearm 0.822 0.04 0.773 0.822 0.797 0.973 head 0.799 0.023 0.854 0.799 0.825 0.978 shin 0.779 0.029 0.819 0.779 0.798 0.972 thigh 0.809 0.035 0.795 0.809 0.802 0.973 upperarm 0.774 0.039 0.77 0.774 0.772 0.967 waist Weighted Avg. 0.793 0.034 0.795 0.793 0.793 0.972 === Confusion Matrix === a b c d e f g <-- classified as 717 25 25 9 24 49 40 | a = chest 38 673 74 9 17 23 50 | b = forearm 29 54 732 11 21 12 31 | c = head 15 15 18 711 53 39 39 | d = shin 55 20 16 44 693 36 26 | e = thigh 45 17 33 31 24 722 20 | f = upperarm 55 38 49 18 14 27 689 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 5027 80.755 % Incorrectly Classified Instances 1198 19.245 % Kappa statistic 0.7755 Mean absolute error 0.0942 Root mean squared error 0.201 Relative absolute error 38.4507 % Root relative squared error 57.4385 % Total Number of Instances 6225 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.818 0.039 0.779 0.818 0.798 0.976 chest 0.799 0.028 0.825 0.799 0.811 0.976 forearm 0.801 0.038 0.779 0.801 0.79 0.971 head 0.84 0.025 0.848 0.84 0.844 0.981 shin 0.806 0.027 0.833 0.806 0.819 0.974 thigh 0.803 0.032 0.809 0.803 0.806 0.976 upperarm 0.787 0.036 0.784 0.787 0.785 0.971 waist Weighted Avg. 0.808 0.032 0.808 0.808 0.808 0.975 === Confusion Matrix === a b c d e f g <-- classified as 727 25 22 14 15 46 40 | a = chest 43 706 57 8 11 24 35 | b = forearm 40 49 713 9 30 17 32 | c = head 19 1 11 748 47 33 31 | d = shin 32 19 19 48 717 31 24 | e = thigh 33 22 30 32 28 716 31 | f = upperarm 39 34 63 23 13 18 700 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4971 79.8683 % Incorrectly Classified Instances 1253 20.1317 % Kappa statistic 0.7651 Mean absolute error 0.0966 Root mean squared error 0.2041 Relative absolute error 39.4489 % Root relative squared error 58.3188 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.816 0.043 0.759 0.816 0.786 0.972 chest 0.752 0.028 0.818 0.752 0.784 0.968 forearm 0.776 0.039 0.768 0.776 0.772 0.972 head 0.854 0.028 0.838 0.854 0.846 0.981 shin 0.781 0.026 0.834 0.781 0.807 0.975 thigh 0.828 0.034 0.802 0.828 0.815 0.976 upperarm 0.783 0.037 0.778 0.783 0.781 0.972 waist Weighted Avg. 0.799 0.034 0.8 0.799 0.799 0.974 === Confusion Matrix === a b c d e f g <-- classified as 725 30 26 10 17 53 28 | a = chest 61 665 72 21 17 18 30 | b = forearm 33 48 691 11 37 17 53 | c = head 12 9 6 760 38 30 35 | d = shin 47 8 24 52 695 35 29 | e = thigh 33 17 34 30 15 738 24 | f = upperarm 44 36 47 23 14 29 697 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 5009 80.4788 % Incorrectly Classified Instances 1215 19.5212 % Kappa statistic 0.7723 Mean absolute error 0.0947 Root mean squared error 0.2009 Relative absolute error 38.6691 % Root relative squared error 57.4146 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.814 0.047 0.743 0.814 0.777 0.974 chest 0.803 0.028 0.828 0.803 0.815 0.974 forearm 0.8 0.032 0.805 0.8 0.803 0.976 head 0.838 0.028 0.831 0.838 0.834 0.981 shin 0.77 0.029 0.817 0.77 0.793 0.972 thigh 0.827 0.03 0.82 0.827 0.823 0.979 upperarm 0.781 0.033 0.797 0.781 0.789 0.971 waist Weighted Avg. 0.805 0.033 0.806 0.805 0.805 0.975 === Confusion Matrix === a b c d e f g <-- classified as 724 25 25 14 19 47 35 | a = chest 46 710 54 5 16 16 37 | b = forearm 33 46 712 9 40 18 32 | c = head 25 9 7 746 58 20 25 | d = shin 48 20 15 59 685 38 25 | e = thigh 47 17 23 36 8 737 23 | f = upperarm 52 31 48 29 12 23 695 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4893 78.615 % Incorrectly Classified Instances 1331 21.385 % Kappa statistic 0.7505 Mean absolute error 0.0976 Root mean squared error 0.2065 Relative absolute error 39.8423 % Root relative squared error 59.024 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.79 0.052 0.716 0.79 0.751 0.969 chest 0.771 0.032 0.8 0.771 0.785 0.967 forearm 0.784 0.038 0.773 0.784 0.779 0.972 head 0.829 0.026 0.842 0.829 0.836 0.979 shin 0.775 0.026 0.83 0.775 0.802 0.974 thigh 0.797 0.034 0.797 0.797 0.797 0.969 upperarm 0.756 0.041 0.756 0.756 0.756 0.964 waist Weighted Avg. 0.786 0.036 0.788 0.786 0.787 0.971 === Confusion Matrix === a b c d e f g <-- classified as 702 40 31 10 17 54 35 | a = chest 49 682 69 12 17 22 33 | b = forearm 49 54 698 7 27 18 37 | c = head 17 17 10 738 35 36 37 | d = shin 55 13 15 49 690 27 41 | e = thigh 53 17 24 28 25 710 34 | f = upperarm 55 30 56 32 20 24 673 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4998 80.3021 % Incorrectly Classified Instances 1226 19.6979 % Kappa statistic 0.7702 Mean absolute error 0.095 Root mean squared error 0.2017 Relative absolute error 38.7716 % Root relative squared error 57.6434 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.81 0.047 0.741 0.81 0.774 0.971 chest 0.793 0.029 0.82 0.793 0.806 0.977 forearm 0.824 0.036 0.793 0.824 0.808 0.975 head 0.838 0.023 0.859 0.838 0.849 0.981 shin 0.794 0.028 0.828 0.794 0.811 0.976 thigh 0.816 0.03 0.819 0.816 0.817 0.976 upperarm 0.746 0.037 0.769 0.746 0.758 0.965 waist Weighted Avg. 0.803 0.033 0.804 0.803 0.803 0.975 === Confusion Matrix === a b c d e f g <-- classified as 720 21 26 16 21 37 48 | a = chest 52 702 61 5 14 14 37 | b = forearm 32 36 733 8 27 22 32 | c = head 23 12 5 745 44 30 30 | d = shin 55 17 13 35 707 31 32 | e = thigh 42 23 24 31 24 727 20 | f = upperarm 48 45 62 27 17 27 664 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 5007 80.4467 % Incorrectly Classified Instances 1217 19.5533 % Kappa statistic 0.7719 Mean absolute error 0.0948 Root mean squared error 0.202 Relative absolute error 38.6997 % Root relative squared error 57.7312 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.834 0.042 0.766 0.834 0.798 0.978 chest 0.782 0.03 0.814 0.782 0.798 0.97 forearm 0.798 0.035 0.79 0.798 0.794 0.972 head 0.841 0.023 0.858 0.841 0.85 0.981 shin 0.792 0.028 0.826 0.792 0.809 0.974 thigh 0.81 0.03 0.82 0.81 0.815 0.975 upperarm 0.774 0.04 0.764 0.774 0.769 0.965 waist Weighted Avg. 0.804 0.033 0.805 0.804 0.805 0.974 === Confusion Matrix === a b c d e f g <-- classified as 741 24 27 5 16 46 30 | a = chest 53 692 49 12 19 15 45 | b = forearm 36 43 710 11 29 20 41 | c = head 11 12 11 748 45 23 39 | d = shin 52 18 15 44 705 29 27 | e = thigh 34 13 28 34 29 722 31 | f = upperarm 40 48 59 18 10 26 689 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4993 80.2217 % Incorrectly Classified Instances 1231 19.7783 % Kappa statistic 0.7693 Mean absolute error 0.0946 Root mean squared error 0.2013 Relative absolute error 38.6166 % Root relative squared error 57.5318 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.846 0.051 0.734 0.846 0.786 0.976 chest 0.747 0.028 0.816 0.747 0.78 0.968 forearm 0.805 0.042 0.764 0.805 0.784 0.972 head 0.843 0.022 0.862 0.843 0.852 0.985 shin 0.801 0.027 0.832 0.801 0.816 0.976 thigh 0.805 0.026 0.838 0.805 0.821 0.976 upperarm 0.77 0.035 0.787 0.77 0.778 0.969 waist Weighted Avg. 0.802 0.033 0.805 0.802 0.802 0.974 === Confusion Matrix === a b c d e f g <-- classified as 752 20 25 15 13 33 31 | a = chest 64 660 78 11 16 13 42 | b = forearm 41 58 717 7 30 16 22 | c = head 16 7 9 749 46 26 36 | d = shin 57 19 13 34 713 26 28 | e = thigh 51 18 36 22 21 717 26 | f = upperarm 43 27 61 31 18 25 685 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 9 FOLD: 0 Correctly Classified Instances 4960 79.6787 % Incorrectly Classified Instances 1265 20.3213 % Kappa statistic 0.7629 Mean absolute error 0.0968 Root mean squared error 0.204 Relative absolute error 39.5306 % Root relative squared error 58.3106 % Total Number of Instances 6225 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.804 0.048 0.737 0.804 0.769 0.971 chest 0.765 0.027 0.824 0.765 0.793 0.973 forearm 0.816 0.038 0.781 0.816 0.798 0.974 head 0.83 0.027 0.839 0.83 0.835 0.981 shin 0.772 0.031 0.805 0.772 0.788 0.972 thigh 0.809 0.027 0.833 0.809 0.821 0.974 upperarm 0.781 0.039 0.769 0.781 0.775 0.968 waist Weighted Avg. 0.797 0.034 0.798 0.797 0.797 0.973 === Confusion Matrix === a b c d e f g <-- classified as 715 23 26 9 31 48 37 | a = chest 52 677 76 9 14 14 43 | b = forearm 38 35 726 8 28 10 45 | c = head 17 11 9 739 50 30 34 | d = shin 66 23 14 48 687 27 25 | e = thigh 34 22 30 33 26 721 25 | f = upperarm 48 31 48 35 17 16 695 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4949 79.502 % Incorrectly Classified Instances 1276 20.498 % Kappa statistic 0.7609 Mean absolute error 0.0965 Root mean squared error 0.2042 Relative absolute error 39.3946 % Root relative squared error 58.3449 % Total Number of Instances 6225 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.814 0.048 0.74 0.814 0.776 0.975 chest 0.791 0.032 0.805 0.791 0.798 0.972 forearm 0.806 0.036 0.788 0.806 0.797 0.974 head 0.817 0.023 0.857 0.817 0.837 0.98 shin 0.785 0.035 0.79 0.785 0.788 0.974 thigh 0.793 0.029 0.818 0.793 0.806 0.972 upperarm 0.758 0.037 0.776 0.758 0.767 0.965 waist Weighted Avg. 0.795 0.034 0.796 0.795 0.795 0.973 === Confusion Matrix === a b c d e f g <-- classified as 724 28 24 13 21 42 37 | a = chest 53 700 53 7 17 12 43 | b = forearm 31 50 717 6 35 16 35 | c = head 24 7 7 727 61 36 28 | d = shin 44 27 19 47 699 29 25 | e = thigh 43 20 33 32 29 707 27 | f = upperarm 59 38 57 16 23 22 675 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4959 79.6627 % Incorrectly Classified Instances 1266 20.3373 % Kappa statistic 0.7627 Mean absolute error 0.0954 Root mean squared error 0.2027 Relative absolute error 38.9393 % Root relative squared error 57.9225 % Total Number of Instances 6225 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.805 0.045 0.751 0.805 0.777 0.973 chest 0.773 0.027 0.825 0.773 0.798 0.972 forearm 0.797 0.038 0.777 0.797 0.787 0.974 head 0.846 0.025 0.851 0.846 0.848 0.983 shin 0.774 0.027 0.826 0.774 0.799 0.973 thigh 0.827 0.036 0.792 0.827 0.809 0.977 upperarm 0.754 0.039 0.763 0.754 0.758 0.965 waist Weighted Avg. 0.797 0.034 0.798 0.797 0.797 0.974 === Confusion Matrix === a b c d e f g <-- classified as 716 27 29 11 18 61 27 | a = chest 57 683 62 10 10 18 44 | b = forearm 45 45 710 5 27 21 38 | c = head 13 8 10 753 44 31 31 | d = shin 40 13 20 49 689 37 42 | e = thigh 36 12 23 27 29 737 27 | f = upperarm 47 40 60 30 17 25 671 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4935 79.2771 % Incorrectly Classified Instances 1290 20.7229 % Kappa statistic 0.7582 Mean absolute error 0.0973 Root mean squared error 0.2051 Relative absolute error 39.7109 % Root relative squared error 58.6023 % Total Number of Instances 6225 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.804 0.04 0.768 0.804 0.786 0.97 chest 0.779 0.031 0.804 0.779 0.791 0.974 forearm 0.778 0.038 0.773 0.778 0.775 0.969 head 0.83 0.028 0.834 0.83 0.832 0.981 shin 0.786 0.028 0.822 0.786 0.803 0.975 thigh 0.796 0.036 0.788 0.796 0.792 0.972 upperarm 0.776 0.04 0.765 0.776 0.771 0.969 waist Weighted Avg. 0.793 0.035 0.793 0.793 0.793 0.973 === Confusion Matrix === a b c d e f g <-- classified as 715 20 28 15 15 57 39 | a = chest 39 689 73 15 18 20 30 | b = forearm 41 54 693 12 35 17 39 | c = head 15 9 7 738 51 38 31 | d = shin 40 18 16 40 700 36 41 | e = thigh 46 26 27 32 19 709 32 | f = upperarm 35 41 53 33 14 23 691 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 5020 80.6555 % Incorrectly Classified Instances 1204 19.3445 % Kappa statistic 0.7743 Mean absolute error 0.0942 Root mean squared error 0.2006 Relative absolute error 38.4751 % Root relative squared error 57.3291 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.829 0.048 0.742 0.829 0.783 0.977 chest 0.775 0.027 0.828 0.775 0.801 0.973 forearm 0.823 0.039 0.779 0.823 0.8 0.975 head 0.853 0.024 0.856 0.853 0.854 0.984 shin 0.789 0.023 0.851 0.789 0.819 0.975 thigh 0.796 0.027 0.831 0.796 0.813 0.973 upperarm 0.782 0.038 0.774 0.782 0.778 0.97 waist Weighted Avg. 0.807 0.032 0.809 0.807 0.807 0.975 === Confusion Matrix === a b c d e f g <-- classified as 737 23 24 11 14 51 29 | a = chest 48 685 65 12 14 15 45 | b = forearm 35 44 733 9 27 10 33 | c = head 19 12 13 758 36 22 29 | d = shin 60 13 15 42 702 24 34 | e = thigh 47 19 28 33 22 709 33 | f = upperarm 47 31 63 21 10 22 696 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4970 79.8522 % Incorrectly Classified Instances 1254 20.1478 % Kappa statistic 0.7649 Mean absolute error 0.0954 Root mean squared error 0.2037 Relative absolute error 38.9383 % Root relative squared error 58.1987 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.835 0.042 0.767 0.835 0.799 0.974 chest 0.775 0.033 0.797 0.775 0.786 0.97 forearm 0.783 0.039 0.768 0.783 0.776 0.969 head 0.808 0.024 0.849 0.808 0.828 0.98 shin 0.797 0.029 0.819 0.797 0.808 0.974 thigh 0.814 0.031 0.814 0.814 0.814 0.977 upperarm 0.779 0.036 0.783 0.779 0.781 0.967 waist Weighted Avg. 0.799 0.034 0.799 0.799 0.799 0.973 === Confusion Matrix === a b c d e f g <-- classified as 742 20 24 13 20 46 24 | a = chest 50 685 71 8 15 13 42 | b = forearm 35 63 697 17 33 12 33 | c = head 21 16 6 718 56 36 36 | d = shin 39 20 15 42 709 36 29 | e = thigh 43 16 36 23 20 726 28 | f = upperarm 38 40 58 25 13 23 693 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4980 80.0129 % Incorrectly Classified Instances 1244 19.9871 % Kappa statistic 0.7668 Mean absolute error 0.0952 Root mean squared error 0.2029 Relative absolute error 38.8935 % Root relative squared error 57.9706 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.801 0.043 0.755 0.801 0.777 0.971 chest 0.782 0.032 0.802 0.782 0.792 0.972 forearm 0.794 0.035 0.792 0.794 0.793 0.973 head 0.841 0.025 0.849 0.841 0.845 0.982 shin 0.792 0.024 0.847 0.792 0.819 0.974 thigh 0.816 0.037 0.785 0.816 0.8 0.973 upperarm 0.774 0.037 0.778 0.774 0.776 0.968 waist Weighted Avg. 0.8 0.033 0.801 0.8 0.8 0.973 === Confusion Matrix === a b c d e f g <-- classified as 712 39 22 6 20 52 38 | a = chest 43 691 57 8 11 31 43 | b = forearm 33 53 707 16 28 21 32 | c = head 11 11 7 748 35 40 37 | d = shin 41 15 14 50 705 36 29 | e = thigh 39 20 33 32 22 728 18 | f = upperarm 64 33 53 21 11 19 689 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 5009 80.4788 % Incorrectly Classified Instances 1215 19.5212 % Kappa statistic 0.7723 Mean absolute error 0.095 Root mean squared error 0.2012 Relative absolute error 38.8041 % Root relative squared error 57.5021 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.811 0.04 0.772 0.811 0.791 0.975 chest 0.787 0.031 0.806 0.787 0.797 0.97 forearm 0.807 0.034 0.798 0.807 0.802 0.977 head 0.83 0.023 0.856 0.83 0.843 0.98 shin 0.772 0.027 0.827 0.772 0.798 0.97 thigh 0.846 0.034 0.808 0.846 0.827 0.98 upperarm 0.78 0.039 0.771 0.78 0.775 0.969 waist Weighted Avg. 0.805 0.033 0.806 0.805 0.805 0.975 === Confusion Matrix === a b c d e f g <-- classified as 721 33 14 12 22 49 38 | a = chest 43 696 71 8 11 20 35 | b = forearm 35 58 718 9 26 14 30 | c = head 19 8 9 739 45 34 36 | d = shin 44 16 15 48 687 43 37 | e = thigh 28 11 24 22 22 754 30 | f = upperarm 44 41 49 25 18 19 694 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4965 79.7719 % Incorrectly Classified Instances 1259 20.2281 % Kappa statistic 0.764 Mean absolute error 0.0963 Root mean squared error 0.2033 Relative absolute error 39.3025 % Root relative squared error 58.095 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.812 0.05 0.729 0.812 0.768 0.97 chest 0.773 0.026 0.831 0.773 0.801 0.969 forearm 0.794 0.036 0.787 0.794 0.791 0.971 head 0.824 0.025 0.843 0.824 0.833 0.981 shin 0.792 0.031 0.808 0.792 0.8 0.972 thigh 0.813 0.031 0.814 0.813 0.813 0.977 upperarm 0.776 0.036 0.782 0.776 0.779 0.969 waist Weighted Avg. 0.798 0.034 0.799 0.798 0.798 0.973 === Confusion Matrix === a b c d e f g <-- classified as 722 22 33 17 18 44 33 | a = chest 51 683 57 7 18 25 43 | b = forearm 45 42 707 9 38 20 29 | c = head 19 6 13 733 53 32 34 | d = shin 59 12 19 45 705 23 27 | e = thigh 43 15 23 35 24 724 27 | f = upperarm 51 42 46 23 16 21 691 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4953 79.579 % Incorrectly Classified Instances 1271 20.421 % Kappa statistic 0.7618 Mean absolute error 0.096 Root mean squared error 0.2036 Relative absolute error 39.1825 % Root relative squared error 58.1789 % Total Number of Instances 6224 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.796 0.053 0.714 0.796 0.753 0.971 chest 0.779 0.031 0.804 0.779 0.791 0.97 forearm 0.799 0.037 0.785 0.799 0.792 0.971 head 0.828 0.024 0.854 0.828 0.841 0.98 shin 0.81 0.026 0.836 0.81 0.823 0.978 thigh 0.807 0.03 0.819 0.807 0.813 0.976 upperarm 0.751 0.037 0.771 0.751 0.761 0.966 waist Weighted Avg. 0.796 0.034 0.798 0.796 0.796 0.973 === Confusion Matrix === a b c d e f g <-- classified as 708 31 23 9 16 55 47 | a = chest 69 689 56 12 15 11 32 | b = forearm 46 45 711 11 25 17 35 | c = head 15 13 14 737 47 30 34 | d = shin 53 10 14 44 721 26 22 | e = thigh 38 19 34 30 23 719 28 | f = upperarm 63 50 54 20 15 20 668 | g = waist ------------------------------------------------------------------------------------------------------ SUBJECT: 8 RUN: 0 FOLD: 0 Correctly Classified Instances 5079 76.2155 % Incorrectly Classified Instances 1585 23.7845 % Kappa statistic 0.7225 Mean absolute error 0.1145 Root mean squared error 0.2223 Relative absolute error 46.7675 % Root relative squared error 63.5205 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.655 0.054 0.669 0.655 0.662 0.934 chest 0.738 0.042 0.745 0.738 0.741 0.957 forearm 0.824 0.051 0.729 0.824 0.774 0.971 head 0.856 0.015 0.904 0.856 0.879 0.983 shin 0.795 0.032 0.806 0.795 0.8 0.97 thigh 0.754 0.04 0.757 0.754 0.756 0.956 upperarm 0.714 0.043 0.734 0.714 0.724 0.952 waist Weighted Avg. 0.762 0.04 0.763 0.762 0.762 0.96 === Confusion Matrix === a b c d e f g <-- classified as 623 65 66 4 22 69 102 | a = chest 68 701 76 7 33 35 30 | b = forearm 35 50 784 0 8 44 31 | c = head 17 14 11 815 60 15 20 | d = shin 40 18 22 47 759 36 33 | e = thigh 62 42 61 9 30 717 30 | f = upperarm 86 51 55 20 30 31 680 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 5063 75.9754 % Incorrectly Classified Instances 1601 24.0246 % Kappa statistic 0.7197 Mean absolute error 0.1157 Root mean squared error 0.2242 Relative absolute error 47.2568 % Root relative squared error 64.0759 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.688 0.053 0.686 0.688 0.687 0.943 chest 0.692 0.039 0.748 0.692 0.719 0.95 forearm 0.817 0.051 0.728 0.817 0.77 0.967 head 0.843 0.016 0.895 0.843 0.869 0.982 shin 0.777 0.029 0.815 0.777 0.796 0.966 thigh 0.761 0.04 0.761 0.761 0.761 0.956 upperarm 0.741 0.052 0.702 0.741 0.721 0.952 waist Weighted Avg. 0.76 0.04 0.762 0.76 0.76 0.96 === Confusion Matrix === a b c d e f g <-- classified as 654 52 60 5 28 51 101 | a = chest 55 657 107 7 39 48 37 | b = forearm 34 51 778 2 9 37 41 | c = head 17 8 14 803 44 26 40 | d = shin 38 20 25 51 742 35 44 | e = thigh 58 45 41 19 29 724 36 | f = upperarm 98 45 44 10 19 31 705 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 5088 76.3505 % Incorrectly Classified Instances 1576 23.6495 % Kappa statistic 0.7241 Mean absolute error 0.1153 Root mean squared error 0.2225 Relative absolute error 47.1009 % Root relative squared error 63.5717 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.683 0.053 0.682 0.683 0.682 0.94 chest 0.714 0.04 0.749 0.714 0.731 0.956 forearm 0.844 0.048 0.745 0.844 0.791 0.974 head 0.852 0.016 0.9 0.852 0.875 0.985 shin 0.782 0.03 0.811 0.782 0.796 0.969 thigh 0.756 0.048 0.724 0.756 0.74 0.954 upperarm 0.713 0.041 0.745 0.713 0.729 0.956 waist Weighted Avg. 0.764 0.039 0.765 0.764 0.764 0.962 === Confusion Matrix === a b c d e f g <-- classified as 649 54 48 4 20 79 96 | a = chest 52 678 103 7 36 55 19 | b = forearm 30 45 804 0 9 40 25 | c = head 15 11 14 811 45 20 36 | d = shin 43 27 25 45 747 43 25 | e = thigh 56 44 43 20 38 720 31 | f = upperarm 107 46 42 14 26 38 679 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 5083 76.2755 % Incorrectly Classified Instances 1581 23.7245 % Kappa statistic 0.7232 Mean absolute error 0.1149 Root mean squared error 0.2223 Relative absolute error 46.9309 % Root relative squared error 63.5358 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.652 0.058 0.652 0.652 0.652 0.941 chest 0.718 0.04 0.747 0.718 0.732 0.957 forearm 0.821 0.049 0.735 0.821 0.775 0.97 head 0.853 0.014 0.91 0.853 0.881 0.984 shin 0.795 0.03 0.814 0.795 0.804 0.966 thigh 0.765 0.04 0.759 0.765 0.762 0.956 upperarm 0.736 0.044 0.736 0.736 0.736 0.955 waist Weighted Avg. 0.763 0.04 0.765 0.763 0.763 0.961 === Confusion Matrix === a b c d e f g <-- classified as 619 69 48 5 31 74 104 | a = chest 57 682 103 7 26 43 32 | b = forearm 42 50 782 1 7 45 26 | c = head 13 7 15 812 57 19 29 | d = shin 53 17 25 37 759 32 32 | e = thigh 64 41 48 14 28 728 29 | f = upperarm 102 47 43 16 25 18 701 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 5058 75.9004 % Incorrectly Classified Instances 1606 24.0996 % Kappa statistic 0.7188 Mean absolute error 0.1147 Root mean squared error 0.2225 Relative absolute error 46.8456 % Root relative squared error 63.5719 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.711 0.052 0.694 0.711 0.702 0.949 chest 0.688 0.044 0.72 0.688 0.704 0.948 forearm 0.813 0.052 0.722 0.813 0.765 0.969 head 0.842 0.016 0.896 0.842 0.868 0.985 shin 0.783 0.03 0.814 0.783 0.798 0.967 thigh 0.748 0.041 0.753 0.748 0.751 0.956 upperarm 0.727 0.045 0.728 0.727 0.728 0.954 waist Weighted Avg. 0.759 0.04 0.761 0.759 0.759 0.961 === Confusion Matrix === a b c d e f g <-- classified as 676 55 46 5 22 50 97 | a = chest 61 654 112 7 30 51 35 | b = forearm 31 55 775 2 8 52 30 | c = head 9 15 10 802 67 15 34 | d = shin 38 21 28 51 747 35 34 | e = thigh 65 51 56 13 27 712 28 | f = upperarm 94 57 47 15 17 30 692 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 5008 75.1501 % Incorrectly Classified Instances 1656 24.8499 % Kappa statistic 0.7101 Mean absolute error 0.1164 Root mean squared error 0.2246 Relative absolute error 47.5305 % Root relative squared error 64.1731 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.651 0.053 0.673 0.651 0.662 0.938 chest 0.718 0.045 0.728 0.718 0.723 0.951 forearm 0.825 0.049 0.737 0.825 0.779 0.969 head 0.839 0.018 0.884 0.839 0.861 0.984 shin 0.761 0.035 0.786 0.761 0.773 0.964 thigh 0.762 0.043 0.749 0.762 0.755 0.958 upperarm 0.705 0.048 0.71 0.705 0.707 0.95 waist Weighted Avg. 0.752 0.041 0.752 0.752 0.751 0.959 === Confusion Matrix === a b c d e f g <-- classified as 619 69 50 3 20 79 111 | a = chest 49 682 97 5 39 41 37 | b = forearm 37 52 786 4 11 34 29 | c = head 15 15 8 799 66 22 27 | d = shin 42 25 23 56 726 42 40 | e = thigh 54 43 48 16 36 725 30 | f = upperarm 104 51 54 21 26 25 671 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 5129 76.9658 % Incorrectly Classified Instances 1535 23.0342 % Kappa statistic 0.7313 Mean absolute error 0.1145 Root mean squared error 0.2207 Relative absolute error 46.7455 % Root relative squared error 63.0636 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.69 0.051 0.692 0.69 0.691 0.944 chest 0.707 0.037 0.762 0.707 0.733 0.957 forearm 0.834 0.049 0.74 0.834 0.784 0.969 head 0.847 0.013 0.917 0.847 0.881 0.985 shin 0.791 0.028 0.824 0.791 0.807 0.971 thigh 0.785 0.045 0.744 0.785 0.764 0.962 upperarm 0.733 0.046 0.726 0.733 0.73 0.958 waist Weighted Avg. 0.77 0.038 0.772 0.77 0.77 0.964 === Confusion Matrix === a b c d e f g <-- classified as 656 41 53 4 22 76 99 | a = chest 55 671 99 9 25 54 36 | b = forearm 34 46 795 1 10 40 27 | c = head 14 6 11 807 60 25 30 | d = shin 39 23 29 31 755 35 42 | e = thigh 60 42 40 11 23 747 29 | f = upperarm 90 52 47 17 21 27 698 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 5098 76.5006 % Incorrectly Classified Instances 1566 23.4994 % Kappa statistic 0.7258 Mean absolute error 0.1147 Root mean squared error 0.2219 Relative absolute error 46.8453 % Root relative squared error 63.4239 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.687 0.05 0.697 0.687 0.692 0.943 chest 0.733 0.044 0.734 0.733 0.734 0.952 forearm 0.846 0.054 0.722 0.846 0.779 0.971 head 0.864 0.016 0.898 0.864 0.881 0.981 shin 0.763 0.027 0.824 0.763 0.792 0.968 thigh 0.748 0.04 0.758 0.748 0.753 0.959 upperarm 0.714 0.043 0.737 0.714 0.725 0.957 waist Weighted Avg. 0.765 0.039 0.767 0.765 0.765 0.961 === Confusion Matrix === a b c d e f g <-- classified as 653 57 63 2 22 63 91 | a = chest 57 696 98 7 27 29 35 | b = forearm 21 53 806 3 5 40 25 | c = head 18 9 20 823 47 19 17 | d = shin 39 21 28 49 728 48 41 | e = thigh 65 50 46 18 27 712 34 | f = upperarm 84 62 56 14 28 28 680 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 5021 75.3451 % Incorrectly Classified Instances 1643 24.6549 % Kappa statistic 0.7124 Mean absolute error 0.117 Root mean squared error 0.2248 Relative absolute error 47.7579 % Root relative squared error 64.2481 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.671 0.056 0.667 0.671 0.669 0.943 chest 0.732 0.043 0.741 0.732 0.737 0.953 forearm 0.82 0.05 0.734 0.82 0.774 0.969 head 0.823 0.016 0.895 0.823 0.857 0.979 shin 0.765 0.029 0.816 0.765 0.79 0.961 thigh 0.734 0.045 0.73 0.734 0.732 0.953 upperarm 0.729 0.05 0.71 0.729 0.72 0.954 waist Weighted Avg. 0.753 0.041 0.756 0.753 0.754 0.959 === Confusion Matrix === a b c d e f g <-- classified as 638 54 60 8 18 66 107 | a = chest 66 695 76 9 22 45 36 | b = forearm 34 53 781 4 11 47 23 | c = head 20 10 12 784 65 28 34 | d = shin 47 26 33 35 730 39 44 | e = thigh 69 47 53 21 24 699 39 | f = upperarm 83 53 49 15 25 33 694 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 5031 75.5065 % Incorrectly Classified Instances 1632 24.4935 % Kappa statistic 0.7142 Mean absolute error 0.1163 Root mean squared error 0.2241 Relative absolute error 47.4709 % Root relative squared error 64.0328 % Total Number of Instances 6663 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.653 0.054 0.67 0.653 0.661 0.938 chest 0.717 0.048 0.714 0.717 0.715 0.951 forearm 0.82 0.05 0.731 0.82 0.773 0.97 head 0.842 0.015 0.906 0.842 0.873 0.983 shin 0.775 0.032 0.803 0.775 0.788 0.967 thigh 0.744 0.045 0.735 0.744 0.74 0.958 upperarm 0.733 0.043 0.74 0.733 0.737 0.957 waist Weighted Avg. 0.755 0.041 0.757 0.755 0.755 0.96 === Confusion Matrix === a b c d e f g <-- classified as 621 76 59 3 31 75 86 | a = chest 53 680 92 12 28 48 36 | b = forearm 32 58 781 3 11 41 26 | c = head 19 14 11 802 64 17 25 | d = shin 31 29 24 40 740 44 47 | e = thigh 73 44 58 17 25 708 26 | f = upperarm 98 52 43 8 23 30 699 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 1 FOLD: 0 Correctly Classified Instances 5045 75.7053 % Incorrectly Classified Instances 1619 24.2947 % Kappa statistic 0.7166 Mean absolute error 0.1172 Root mean squared error 0.2252 Relative absolute error 47.875 % Root relative squared error 64.3505 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.671 0.056 0.667 0.671 0.669 0.94 chest 0.733 0.043 0.738 0.733 0.735 0.956 forearm 0.833 0.05 0.735 0.833 0.781 0.97 head 0.83 0.016 0.894 0.83 0.861 0.982 shin 0.78 0.029 0.818 0.78 0.799 0.962 thigh 0.737 0.037 0.77 0.737 0.753 0.954 upperarm 0.715 0.052 0.696 0.715 0.706 0.947 waist Weighted Avg. 0.757 0.04 0.76 0.757 0.758 0.959 === Confusion Matrix === a b c d e f g <-- classified as 638 52 53 8 19 59 122 | a = chest 53 696 96 12 22 35 36 | b = forearm 39 54 794 0 6 35 25 | c = head 17 15 13 790 65 22 30 | d = shin 43 17 37 41 744 36 36 | e = thigh 66 48 40 20 28 702 48 | f = upperarm 101 61 48 13 25 23 681 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 5092 76.4106 % Incorrectly Classified Instances 1572 23.5894 % Kappa statistic 0.7248 Mean absolute error 0.1136 Root mean squared error 0.221 Relative absolute error 46.4071 % Root relative squared error 63.159 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.652 0.049 0.688 0.652 0.669 0.943 chest 0.713 0.043 0.736 0.713 0.724 0.954 forearm 0.834 0.05 0.734 0.834 0.781 0.972 head 0.869 0.012 0.923 0.869 0.895 0.985 shin 0.767 0.03 0.812 0.767 0.789 0.963 thigh 0.785 0.044 0.748 0.785 0.766 0.966 upperarm 0.729 0.047 0.72 0.729 0.724 0.953 waist Weighted Avg. 0.764 0.039 0.766 0.764 0.764 0.962 === Confusion Matrix === a b c d e f g <-- classified as 619 58 56 3 34 74 106 | a = chest 44 677 96 9 34 49 41 | b = forearm 34 54 795 1 7 39 23 | c = head 21 11 10 828 42 14 27 | d = shin 34 31 32 39 732 43 43 | e = thigh 59 37 37 11 31 747 30 | f = upperarm 89 52 57 6 22 32 694 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 5077 76.1855 % Incorrectly Classified Instances 1587 23.8145 % Kappa statistic 0.7222 Mean absolute error 0.1165 Root mean squared error 0.2235 Relative absolute error 47.573 % Root relative squared error 63.8632 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.691 0.058 0.663 0.691 0.676 0.943 chest 0.725 0.041 0.748 0.725 0.737 0.954 forearm 0.827 0.047 0.746 0.827 0.784 0.971 head 0.846 0.017 0.895 0.846 0.869 0.982 shin 0.769 0.03 0.81 0.769 0.789 0.964 thigh 0.744 0.043 0.741 0.744 0.743 0.955 upperarm 0.731 0.042 0.745 0.731 0.738 0.956 waist Weighted Avg. 0.762 0.04 0.764 0.762 0.762 0.961 === Confusion Matrix === a b c d e f g <-- classified as 656 68 50 4 19 68 85 | a = chest 65 689 83 5 36 40 32 | b = forearm 38 50 788 5 7 41 24 | c = head 17 12 10 806 54 23 31 | d = shin 47 22 24 48 734 43 36 | e = thigh 73 37 59 14 31 708 30 | f = upperarm 94 43 43 19 25 32 696 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 5057 75.8854 % Incorrectly Classified Instances 1607 24.1146 % Kappa statistic 0.7187 Mean absolute error 0.1168 Root mean squared error 0.2244 Relative absolute error 47.6744 % Root relative squared error 64.1297 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.664 0.053 0.675 0.664 0.669 0.939 chest 0.719 0.043 0.736 0.719 0.727 0.951 forearm 0.831 0.049 0.737 0.831 0.781 0.97 head 0.836 0.015 0.902 0.836 0.868 0.981 shin 0.781 0.029 0.82 0.781 0.8 0.967 thigh 0.758 0.046 0.732 0.758 0.745 0.957 upperarm 0.723 0.046 0.725 0.723 0.724 0.952 waist Weighted Avg. 0.759 0.04 0.761 0.759 0.759 0.96 === Confusion Matrix === a b c d e f g <-- classified as 631 58 54 0 20 79 109 | a = chest 62 683 92 7 35 46 25 | b = forearm 24 57 791 3 6 45 26 | c = head 12 15 16 797 51 24 38 | d = shin 42 23 24 48 745 40 32 | e = thigh 72 46 44 12 25 722 31 | f = upperarm 92 46 52 17 26 31 688 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 5040 75.6303 % Incorrectly Classified Instances 1624 24.3697 % Kappa statistic 0.7157 Mean absolute error 0.1154 Root mean squared error 0.2237 Relative absolute error 47.1394 % Root relative squared error 63.9141 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.672 0.049 0.695 0.672 0.683 0.94 chest 0.699 0.041 0.738 0.699 0.718 0.954 forearm 0.827 0.055 0.715 0.827 0.767 0.968 head 0.857 0.015 0.904 0.857 0.88 0.986 shin 0.77 0.032 0.803 0.77 0.786 0.964 thigh 0.737 0.045 0.733 0.737 0.735 0.954 upperarm 0.732 0.048 0.719 0.732 0.726 0.956 waist Weighted Avg. 0.756 0.041 0.758 0.756 0.756 0.96 === Confusion Matrix === a b c d e f g <-- classified as 639 50 57 8 23 71 103 | a = chest 52 664 109 7 34 46 38 | b = forearm 33 50 787 3 9 43 27 | c = head 11 7 9 816 52 26 31 | d = shin 39 29 31 46 735 33 42 | e = thigh 54 63 53 15 33 701 32 | f = upperarm 91 37 54 8 29 36 698 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 5104 76.5906 % Incorrectly Classified Instances 1560 23.4094 % Kappa statistic 0.7269 Mean absolute error 0.1143 Root mean squared error 0.2218 Relative absolute error 46.6639 % Root relative squared error 63.3921 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.682 0.055 0.673 0.682 0.677 0.942 chest 0.737 0.036 0.775 0.737 0.756 0.957 forearm 0.845 0.052 0.73 0.845 0.783 0.974 head 0.851 0.018 0.887 0.851 0.869 0.983 shin 0.769 0.028 0.822 0.769 0.794 0.964 thigh 0.766 0.043 0.748 0.766 0.757 0.956 upperarm 0.712 0.041 0.742 0.712 0.727 0.953 waist Weighted Avg. 0.766 0.039 0.768 0.766 0.766 0.961 === Confusion Matrix === a b c d e f g <-- classified as 649 45 70 10 28 63 86 | a = chest 58 700 98 12 22 30 30 | b = forearm 33 38 804 3 6 44 24 | c = head 15 6 15 810 51 25 30 | d = shin 43 17 26 49 734 52 34 | e = thigh 58 46 45 13 29 728 32 | f = upperarm 109 51 44 16 23 31 679 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 5065 76.0054 % Incorrectly Classified Instances 1599 23.9946 % Kappa statistic 0.7201 Mean absolute error 0.1158 Root mean squared error 0.2239 Relative absolute error 47.2954 % Root relative squared error 63.973 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.691 0.054 0.679 0.691 0.685 0.943 chest 0.695 0.042 0.733 0.695 0.714 0.949 forearm 0.821 0.048 0.742 0.821 0.779 0.972 head 0.848 0.015 0.906 0.848 0.876 0.983 shin 0.785 0.032 0.806 0.785 0.795 0.967 thigh 0.755 0.046 0.731 0.755 0.743 0.952 upperarm 0.725 0.043 0.737 0.725 0.731 0.95 waist Weighted Avg. 0.76 0.04 0.762 0.76 0.76 0.96 === Confusion Matrix === a b c d e f g <-- classified as 657 54 62 2 31 64 81 | a = chest 53 660 98 4 43 56 35 | b = forearm 22 57 782 0 11 45 36 | c = head 20 12 10 807 53 28 22 | d = shin 39 21 18 49 750 44 34 | e = thigh 73 49 43 8 22 719 38 | f = upperarm 104 47 41 21 21 28 690 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 5116 76.7707 % Incorrectly Classified Instances 1548 23.2293 % Kappa statistic 0.729 Mean absolute error 0.1144 Root mean squared error 0.2214 Relative absolute error 46.7164 % Root relative squared error 63.2846 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.673 0.047 0.706 0.673 0.689 0.94 chest 0.717 0.044 0.73 0.717 0.723 0.954 forearm 0.818 0.053 0.721 0.818 0.767 0.965 head 0.869 0.017 0.895 0.869 0.882 0.986 shin 0.793 0.028 0.824 0.793 0.808 0.967 thigh 0.768 0.038 0.769 0.768 0.769 0.957 upperarm 0.736 0.044 0.737 0.736 0.737 0.959 waist Weighted Avg. 0.768 0.039 0.769 0.768 0.768 0.961 === Confusion Matrix === a b c d e f g <-- classified as 640 59 60 7 28 52 105 | a = chest 50 680 99 7 30 42 41 | b = forearm 33 57 780 8 3 43 29 | c = head 9 12 11 827 54 21 18 | d = shin 40 19 25 44 757 38 32 | e = thigh 46 47 56 20 27 731 25 | f = upperarm 89 57 51 11 20 23 701 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 5091 76.3956 % Incorrectly Classified Instances 1573 23.6044 % Kappa statistic 0.7246 Mean absolute error 0.1148 Root mean squared error 0.222 Relative absolute error 46.8684 % Root relative squared error 63.4558 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.699 0.052 0.691 0.699 0.695 0.946 chest 0.706 0.04 0.744 0.706 0.725 0.95 forearm 0.817 0.046 0.748 0.817 0.781 0.97 head 0.835 0.016 0.894 0.835 0.864 0.982 shin 0.794 0.032 0.807 0.794 0.8 0.97 thigh 0.758 0.046 0.733 0.758 0.745 0.953 upperarm 0.737 0.043 0.741 0.737 0.739 0.958 waist Weighted Avg. 0.764 0.039 0.766 0.764 0.764 0.962 === Confusion Matrix === a b c d e f g <-- classified as 665 45 50 4 26 68 93 | a = chest 64 670 92 9 34 51 29 | b = forearm 32 58 779 1 14 47 22 | c = head 20 18 9 795 52 25 33 | d = shin 40 21 22 44 758 37 33 | e = thigh 50 38 57 20 30 722 35 | f = upperarm 91 50 33 16 25 35 702 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 5099 76.5271 % Incorrectly Classified Instances 1564 23.4729 % Kappa statistic 0.7261 Mean absolute error 0.1155 Root mean squared error 0.2223 Relative absolute error 47.1542 % Root relative squared error 63.5149 % Total Number of Instances 6663 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.701 0.053 0.689 0.701 0.695 0.944 chest 0.706 0.044 0.729 0.706 0.717 0.949 forearm 0.825 0.051 0.73 0.825 0.774 0.968 head 0.847 0.014 0.912 0.847 0.878 0.984 shin 0.789 0.032 0.807 0.789 0.798 0.972 thigh 0.762 0.038 0.771 0.762 0.766 0.959 upperarm 0.727 0.044 0.735 0.727 0.731 0.956 waist Weighted Avg. 0.765 0.039 0.768 0.765 0.766 0.962 === Confusion Matrix === a b c d e f g <-- classified as 667 60 54 3 28 61 78 | a = chest 57 670 108 4 35 39 36 | b = forearm 35 41 786 2 13 40 36 | c = head 20 12 12 806 54 15 33 | d = shin 55 23 24 40 753 29 30 | e = thigh 49 55 43 13 30 725 37 | f = upperarm 85 58 50 16 20 31 692 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 2 FOLD: 0 Correctly Classified Instances 5063 75.9754 % Incorrectly Classified Instances 1601 24.0246 % Kappa statistic 0.7197 Mean absolute error 0.1162 Root mean squared error 0.2239 Relative absolute error 47.4608 % Root relative squared error 63.9876 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.67 0.051 0.685 0.67 0.677 0.938 chest 0.722 0.041 0.746 0.722 0.734 0.95 forearm 0.821 0.049 0.735 0.821 0.776 0.97 head 0.831 0.016 0.898 0.831 0.863 0.982 shin 0.788 0.033 0.8 0.788 0.794 0.966 thigh 0.756 0.043 0.746 0.756 0.751 0.959 upperarm 0.729 0.047 0.721 0.729 0.725 0.954 waist Weighted Avg. 0.76 0.04 0.762 0.76 0.76 0.96 === Confusion Matrix === a b c d e f g <-- classified as 637 53 58 3 36 68 96 | a = chest 63 686 91 7 28 41 34 | b = forearm 33 50 782 4 9 40 34 | c = head 10 13 14 791 60 26 38 | d = shin 43 20 26 48 753 35 30 | e = thigh 60 44 52 14 25 720 37 | f = upperarm 84 54 41 14 30 35 694 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 5057 75.8854 % Incorrectly Classified Instances 1607 24.1146 % Kappa statistic 0.7187 Mean absolute error 0.1167 Root mean squared error 0.2244 Relative absolute error 47.6693 % Root relative squared error 64.1194 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.668 0.055 0.67 0.668 0.669 0.941 chest 0.701 0.045 0.722 0.701 0.712 0.949 forearm 0.831 0.048 0.742 0.831 0.784 0.97 head 0.841 0.014 0.908 0.841 0.873 0.981 shin 0.783 0.032 0.806 0.783 0.794 0.963 thigh 0.776 0.044 0.748 0.776 0.762 0.958 upperarm 0.712 0.044 0.728 0.712 0.72 0.952 waist Weighted Avg. 0.759 0.04 0.761 0.759 0.759 0.959 === Confusion Matrix === a b c d e f g <-- classified as 635 50 63 6 27 67 103 | a = chest 73 666 85 11 32 48 35 | b = forearm 23 61 791 3 7 42 25 | c = head 23 14 11 801 62 22 20 | d = shin 46 35 19 31 747 38 38 | e = thigh 59 42 42 12 26 739 32 | f = upperarm 89 54 55 18 26 32 678 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 5119 76.8157 % Incorrectly Classified Instances 1545 23.1843 % Kappa statistic 0.7295 Mean absolute error 0.1147 Root mean squared error 0.2216 Relative absolute error 46.8288 % Root relative squared error 63.3297 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.679 0.051 0.69 0.679 0.684 0.942 chest 0.736 0.044 0.736 0.736 0.736 0.952 forearm 0.836 0.047 0.748 0.836 0.79 0.974 head 0.864 0.017 0.893 0.864 0.878 0.985 shin 0.756 0.026 0.83 0.756 0.791 0.968 thigh 0.754 0.042 0.751 0.754 0.753 0.956 upperarm 0.752 0.044 0.74 0.752 0.746 0.957 waist Weighted Avg. 0.768 0.039 0.77 0.768 0.768 0.962 === Confusion Matrix === a b c d e f g <-- classified as 645 63 48 4 24 67 99 | a = chest 51 699 85 9 26 42 38 | b = forearm 35 61 797 2 3 36 19 | c = head 13 10 16 823 48 14 29 | d = shin 41 23 29 52 721 45 43 | e = thigh 62 52 51 16 30 718 23 | f = upperarm 88 42 39 16 17 34 716 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 5116 76.7707 % Incorrectly Classified Instances 1548 23.2293 % Kappa statistic 0.729 Mean absolute error 0.1151 Root mean squared error 0.2224 Relative absolute error 46.9876 % Root relative squared error 63.5506 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.702 0.054 0.686 0.702 0.694 0.944 chest 0.736 0.042 0.745 0.736 0.74 0.958 forearm 0.838 0.049 0.741 0.838 0.787 0.971 head 0.847 0.018 0.888 0.847 0.867 0.98 shin 0.761 0.028 0.821 0.761 0.79 0.967 thigh 0.762 0.038 0.771 0.762 0.766 0.958 upperarm 0.728 0.044 0.736 0.728 0.732 0.955 waist Weighted Avg. 0.768 0.039 0.77 0.768 0.768 0.962 === Confusion Matrix === a b c d e f g <-- classified as 667 53 49 6 22 58 95 | a = chest 48 699 94 4 36 42 27 | b = forearm 26 63 799 3 7 30 25 | c = head 20 14 8 807 48 21 35 | d = shin 44 22 25 55 726 41 41 | e = thigh 58 43 55 22 23 725 26 | f = upperarm 110 44 48 12 22 23 693 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 5019 75.3151 % Incorrectly Classified Instances 1645 24.6849 % Kappa statistic 0.712 Mean absolute error 0.1167 Root mean squared error 0.2248 Relative absolute error 47.6341 % Root relative squared error 64.2459 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.649 0.054 0.666 0.649 0.657 0.934 chest 0.682 0.047 0.709 0.682 0.695 0.949 forearm 0.825 0.054 0.72 0.825 0.769 0.966 head 0.867 0.015 0.904 0.867 0.885 0.983 shin 0.778 0.029 0.818 0.778 0.797 0.966 thigh 0.752 0.041 0.751 0.752 0.752 0.954 upperarm 0.72 0.048 0.715 0.72 0.717 0.955 waist Weighted Avg. 0.753 0.041 0.755 0.753 0.753 0.958 === Confusion Matrix === a b c d e f g <-- classified as 617 73 65 4 28 60 104 | a = chest 46 648 118 8 30 52 48 | b = forearm 36 60 786 0 10 40 21 | c = head 22 15 8 825 39 24 19 | d = shin 38 16 29 46 742 38 45 | e = thigh 58 48 43 12 39 716 36 | f = upperarm 110 54 43 18 19 23 685 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 5084 76.2905 % Incorrectly Classified Instances 1580 23.7095 % Kappa statistic 0.7234 Mean absolute error 0.1151 Root mean squared error 0.2227 Relative absolute error 47.0128 % Root relative squared error 63.6457 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.705 0.055 0.682 0.705 0.693 0.944 chest 0.725 0.042 0.743 0.725 0.734 0.956 forearm 0.826 0.047 0.744 0.826 0.783 0.969 head 0.842 0.015 0.906 0.842 0.873 0.984 shin 0.78 0.033 0.799 0.78 0.789 0.967 thigh 0.746 0.04 0.759 0.746 0.752 0.956 upperarm 0.716 0.046 0.722 0.716 0.719 0.947 waist Weighted Avg. 0.763 0.04 0.765 0.763 0.763 0.96 === Confusion Matrix === a b c d e f g <-- classified as 670 52 53 3 25 61 87 | a = chest 61 689 92 5 32 39 32 | b = forearm 38 44 787 3 6 39 36 | c = head 10 8 12 802 67 17 36 | d = shin 45 21 20 47 744 41 36 | e = thigh 66 57 40 13 30 710 36 | f = upperarm 92 56 54 12 27 29 682 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 5065 76.0054 % Incorrectly Classified Instances 1599 23.9946 % Kappa statistic 0.7201 Mean absolute error 0.1148 Root mean squared error 0.2221 Relative absolute error 46.8815 % Root relative squared error 63.4762 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.655 0.051 0.682 0.655 0.668 0.937 chest 0.698 0.039 0.747 0.698 0.722 0.951 forearm 0.823 0.057 0.708 0.823 0.761 0.969 head 0.87 0.015 0.906 0.87 0.887 0.988 shin 0.757 0.029 0.811 0.757 0.783 0.968 thigh 0.773 0.044 0.743 0.773 0.758 0.96 upperarm 0.745 0.044 0.738 0.745 0.741 0.96 waist Weighted Avg. 0.76 0.04 0.762 0.76 0.76 0.962 === Confusion Matrix === a b c d e f g <-- classified as 623 58 70 4 25 71 100 | a = chest 47 662 116 3 36 53 32 | b = forearm 38 49 784 1 11 42 28 | c = head 12 10 16 828 44 15 27 | d = shin 58 20 28 50 723 43 33 | e = thigh 43 45 56 11 29 736 32 | f = upperarm 93 42 38 17 23 30 709 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 5110 76.6807 % Incorrectly Classified Instances 1554 23.3193 % Kappa statistic 0.7279 Mean absolute error 0.1144 Root mean squared error 0.2217 Relative absolute error 46.7322 % Root relative squared error 63.3624 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.691 0.048 0.703 0.691 0.697 0.945 chest 0.703 0.041 0.739 0.703 0.72 0.949 forearm 0.833 0.049 0.738 0.833 0.783 0.97 head 0.862 0.014 0.913 0.862 0.887 0.985 shin 0.785 0.031 0.809 0.785 0.797 0.967 thigh 0.757 0.044 0.74 0.757 0.748 0.956 upperarm 0.736 0.044 0.736 0.736 0.736 0.956 waist Weighted Avg. 0.767 0.039 0.768 0.767 0.767 0.961 === Confusion Matrix === a b c d e f g <-- classified as 657 53 55 7 29 52 98 | a = chest 50 667 96 7 45 50 34 | b = forearm 34 37 794 4 7 57 20 | c = head 12 13 9 821 48 22 27 | d = shin 35 22 29 37 750 37 45 | e = thigh 55 54 51 13 31 720 27 | f = upperarm 91 57 42 10 17 35 701 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 5057 75.8854 % Incorrectly Classified Instances 1607 24.1146 % Kappa statistic 0.7187 Mean absolute error 0.1158 Root mean squared error 0.2232 Relative absolute error 47.2812 % Root relative squared error 63.7941 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.683 0.056 0.669 0.683 0.676 0.946 chest 0.72 0.045 0.726 0.72 0.723 0.954 forearm 0.825 0.049 0.737 0.825 0.779 0.969 head 0.83 0.015 0.903 0.83 0.865 0.981 shin 0.796 0.031 0.812 0.796 0.804 0.971 thigh 0.749 0.043 0.746 0.749 0.747 0.957 upperarm 0.709 0.043 0.736 0.709 0.722 0.953 waist Weighted Avg. 0.759 0.04 0.761 0.759 0.759 0.962 === Confusion Matrix === a b c d e f g <-- classified as 650 58 51 1 30 59 102 | a = chest 61 683 91 5 32 50 27 | b = forearm 32 48 786 4 12 44 27 | c = head 22 16 12 790 56 22 34 | d = shin 34 30 21 48 760 39 23 | e = thigh 81 44 42 19 23 712 30 | f = upperarm 92 62 63 8 23 29 676 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 5059 75.9268 % Incorrectly Classified Instances 1604 24.0732 % Kappa statistic 0.7191 Mean absolute error 0.1156 Root mean squared error 0.2235 Relative absolute error 47.185 % Root relative squared error 63.858 % Total Number of Instances 6663 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.681 0.053 0.68 0.681 0.681 0.942 chest 0.73 0.042 0.743 0.73 0.736 0.957 forearm 0.817 0.049 0.737 0.817 0.775 0.969 head 0.822 0.015 0.9 0.822 0.859 0.98 shin 0.779 0.028 0.822 0.779 0.8 0.965 thigh 0.775 0.049 0.724 0.775 0.748 0.957 upperarm 0.709 0.044 0.728 0.709 0.718 0.951 waist Weighted Avg. 0.759 0.04 0.762 0.759 0.76 0.96 === Confusion Matrix === a b c d e f g <-- classified as 648 54 61 6 20 73 89 | a = chest 49 693 94 5 21 53 34 | b = forearm 40 55 778 1 6 43 29 | c = head 13 10 14 783 70 33 29 | d = shin 48 20 25 45 744 41 32 | e = thigh 52 45 43 12 23 738 39 | f = upperarm 103 56 40 18 21 39 675 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 3 FOLD: 0 Correctly Classified Instances 5026 75.4202 % Incorrectly Classified Instances 1638 24.5798 % Kappa statistic 0.7132 Mean absolute error 0.1159 Root mean squared error 0.224 Relative absolute error 47.3183 % Root relative squared error 64.027 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.658 0.053 0.675 0.658 0.667 0.941 chest 0.681 0.044 0.721 0.681 0.701 0.947 forearm 0.845 0.054 0.723 0.845 0.779 0.974 head 0.834 0.015 0.901 0.834 0.866 0.979 shin 0.759 0.034 0.79 0.759 0.774 0.962 thigh 0.769 0.048 0.728 0.769 0.748 0.957 upperarm 0.733 0.039 0.756 0.733 0.745 0.961 waist Weighted Avg. 0.754 0.041 0.756 0.754 0.754 0.96 === Confusion Matrix === a b c d e f g <-- classified as 626 68 68 3 32 67 87 | a = chest 67 647 103 8 39 51 35 | b = forearm 28 45 805 2 6 48 19 | c = head 18 8 14 794 60 30 28 | d = shin 48 26 29 46 724 49 32 | e = thigh 57 43 45 13 38 732 24 | f = upperarm 83 60 50 15 17 29 698 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 5053 75.8253 % Incorrectly Classified Instances 1611 24.1747 % Kappa statistic 0.718 Mean absolute error 0.1156 Root mean squared error 0.2226 Relative absolute error 47.2012 % Root relative squared error 63.5996 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.667 0.057 0.662 0.667 0.664 0.944 chest 0.699 0.041 0.74 0.699 0.719 0.947 forearm 0.834 0.053 0.725 0.834 0.776 0.972 head 0.849 0.015 0.902 0.849 0.874 0.985 shin 0.795 0.029 0.82 0.795 0.807 0.97 thigh 0.747 0.038 0.766 0.747 0.756 0.958 upperarm 0.717 0.049 0.709 0.717 0.713 0.952 waist Weighted Avg. 0.758 0.04 0.761 0.758 0.759 0.961 === Confusion Matrix === a b c d e f g <-- classified as 634 53 67 6 22 55 114 | a = chest 64 664 101 9 32 43 37 | b = forearm 32 56 795 3 4 36 27 | c = head 15 11 15 808 57 12 34 | d = shin 39 20 25 40 758 38 34 | e = thigh 73 42 45 12 34 711 35 | f = upperarm 101 51 49 18 17 33 683 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 5088 76.3505 % Incorrectly Classified Instances 1576 23.6495 % Kappa statistic 0.7241 Mean absolute error 0.1163 Root mean squared error 0.2241 Relative absolute error 47.4822 % Root relative squared error 64.0496 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.681 0.055 0.672 0.681 0.677 0.941 chest 0.729 0.044 0.733 0.729 0.731 0.952 forearm 0.835 0.05 0.736 0.835 0.782 0.97 head 0.837 0.012 0.92 0.837 0.877 0.982 shin 0.764 0.027 0.823 0.764 0.792 0.96 thigh 0.759 0.044 0.743 0.759 0.751 0.954 upperarm 0.737 0.043 0.741 0.737 0.739 0.954 waist Weighted Avg. 0.764 0.039 0.767 0.764 0.764 0.959 === Confusion Matrix === a b c d e f g <-- classified as 648 59 59 5 29 64 87 | a = chest 52 693 93 7 25 48 32 | b = forearm 36 43 796 0 6 47 25 | c = head 13 16 14 797 57 22 33 | d = shin 56 30 30 34 729 36 39 | e = thigh 74 47 44 13 21 723 30 | f = upperarm 85 57 46 10 19 33 702 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 5096 76.4706 % Incorrectly Classified Instances 1568 23.5294 % Kappa statistic 0.7255 Mean absolute error 0.1152 Root mean squared error 0.2226 Relative absolute error 47.0503 % Root relative squared error 63.6257 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.679 0.052 0.686 0.679 0.683 0.943 chest 0.74 0.041 0.748 0.74 0.744 0.956 forearm 0.828 0.046 0.749 0.828 0.787 0.972 head 0.864 0.015 0.908 0.864 0.886 0.984 shin 0.774 0.03 0.813 0.774 0.793 0.968 thigh 0.728 0.043 0.739 0.728 0.733 0.955 upperarm 0.739 0.048 0.721 0.739 0.73 0.952 waist Weighted Avg. 0.765 0.039 0.766 0.765 0.765 0.962 === Confusion Matrix === a b c d e f g <-- classified as 646 67 51 5 19 62 101 | a = chest 61 703 82 5 33 40 26 | b = forearm 29 44 789 0 12 42 37 | c = head 22 7 14 823 41 19 26 | d = shin 34 20 20 44 738 48 50 | e = thigh 70 47 49 13 47 693 33 | f = upperarm 80 52 48 16 18 34 704 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 5078 76.2005 % Incorrectly Classified Instances 1586 23.7995 % Kappa statistic 0.7223 Mean absolute error 0.1162 Root mean squared error 0.2236 Relative absolute error 47.4633 % Root relative squared error 63.8916 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.671 0.055 0.669 0.671 0.67 0.94 chest 0.727 0.041 0.746 0.727 0.737 0.955 forearm 0.815 0.044 0.756 0.815 0.784 0.97 head 0.853 0.017 0.893 0.853 0.873 0.982 shin 0.795 0.03 0.818 0.795 0.806 0.97 thigh 0.748 0.043 0.742 0.748 0.745 0.952 upperarm 0.725 0.047 0.719 0.725 0.722 0.952 waist Weighted Avg. 0.762 0.04 0.763 0.762 0.762 0.96 === Confusion Matrix === a b c d e f g <-- classified as 638 44 59 8 20 70 112 | a = chest 48 691 70 12 30 56 43 | b = forearm 37 58 777 3 9 42 27 | c = head 12 12 21 812 49 20 26 | d = shin 48 21 19 44 758 36 28 | e = thigh 61 45 47 20 33 712 34 | f = upperarm 110 55 35 10 28 24 690 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 5024 75.3902 % Incorrectly Classified Instances 1640 24.6098 % Kappa statistic 0.7129 Mean absolute error 0.1166 Root mean squared error 0.225 Relative absolute error 47.597 % Root relative squared error 64.3046 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.677 0.055 0.672 0.677 0.674 0.934 chest 0.682 0.037 0.753 0.682 0.716 0.953 forearm 0.827 0.058 0.705 0.827 0.761 0.965 head 0.849 0.016 0.898 0.849 0.873 0.983 shin 0.775 0.036 0.785 0.775 0.78 0.964 thigh 0.755 0.041 0.753 0.755 0.754 0.957 upperarm 0.712 0.044 0.728 0.712 0.72 0.952 waist Weighted Avg. 0.754 0.041 0.756 0.754 0.754 0.958 === Confusion Matrix === a b c d e f g <-- classified as 644 45 66 4 28 65 99 | a = chest 65 648 99 9 43 46 40 | b = forearm 26 56 788 2 14 43 24 | c = head 14 12 13 808 59 18 28 | d = shin 51 19 30 52 740 30 33 | e = thigh 60 40 58 12 34 718 29 | f = upperarm 99 40 63 13 25 34 678 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 5051 75.7953 % Incorrectly Classified Instances 1613 24.2047 % Kappa statistic 0.7176 Mean absolute error 0.1153 Root mean squared error 0.2234 Relative absolute error 47.0998 % Root relative squared error 63.8302 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.672 0.051 0.685 0.672 0.678 0.943 chest 0.713 0.039 0.754 0.713 0.733 0.956 forearm 0.835 0.054 0.721 0.835 0.774 0.966 head 0.849 0.016 0.898 0.849 0.873 0.983 shin 0.772 0.032 0.799 0.772 0.785 0.966 thigh 0.738 0.042 0.744 0.738 0.741 0.955 upperarm 0.726 0.047 0.718 0.726 0.722 0.949 waist Weighted Avg. 0.758 0.04 0.76 0.758 0.758 0.96 === Confusion Matrix === a b c d e f g <-- classified as 639 44 61 1 26 67 113 | a = chest 53 677 113 5 30 41 30 | b = forearm 40 38 796 5 9 42 23 | c = head 10 17 10 809 56 14 37 | d = shin 44 24 25 52 737 39 34 | e = thigh 66 56 45 13 35 702 34 | f = upperarm 81 42 54 16 29 39 691 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 5085 76.3055 % Incorrectly Classified Instances 1579 23.6945 % Kappa statistic 0.7236 Mean absolute error 0.1149 Root mean squared error 0.2223 Relative absolute error 46.917 % Root relative squared error 63.5329 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.688 0.05 0.696 0.688 0.692 0.942 chest 0.709 0.042 0.738 0.709 0.723 0.955 forearm 0.82 0.051 0.729 0.82 0.772 0.968 head 0.849 0.017 0.893 0.849 0.87 0.985 shin 0.78 0.032 0.802 0.78 0.791 0.967 thigh 0.763 0.042 0.753 0.763 0.758 0.958 upperarm 0.731 0.043 0.74 0.731 0.736 0.957 waist Weighted Avg. 0.763 0.039 0.764 0.763 0.763 0.962 === Confusion Matrix === a b c d e f g <-- classified as 654 64 44 4 30 61 93 | a = chest 46 673 106 10 39 36 39 | b = forearm 44 57 781 4 4 45 17 | c = head 13 12 8 809 63 21 27 | d = shin 34 21 25 49 745 48 33 | e = thigh 65 38 52 13 22 726 36 | f = upperarm 83 47 56 17 26 27 697 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 5074 76.1405 % Incorrectly Classified Instances 1590 23.8595 % Kappa statistic 0.7216 Mean absolute error 0.1152 Root mean squared error 0.2224 Relative absolute error 47.0489 % Root relative squared error 63.5485 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.694 0.055 0.676 0.694 0.685 0.943 chest 0.692 0.047 0.709 0.692 0.7 0.949 forearm 0.842 0.05 0.738 0.842 0.787 0.973 head 0.85 0.016 0.896 0.85 0.872 0.984 shin 0.782 0.033 0.799 0.782 0.79 0.968 thigh 0.761 0.039 0.766 0.761 0.763 0.961 upperarm 0.708 0.038 0.757 0.708 0.732 0.958 waist Weighted Avg. 0.761 0.04 0.763 0.761 0.762 0.962 === Confusion Matrix === a b c d e f g <-- classified as 659 68 43 4 30 61 85 | a = chest 72 657 113 4 27 45 31 | b = forearm 27 52 802 2 5 42 22 | c = head 12 12 16 810 66 15 22 | d = shin 51 26 20 44 747 30 37 | e = thigh 61 49 54 15 29 724 20 | f = upperarm 93 63 38 25 31 28 675 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 5148 77.2625 % Incorrectly Classified Instances 1515 22.7375 % Kappa statistic 0.7347 Mean absolute error 0.1141 Root mean squared error 0.2209 Relative absolute error 46.5851 % Root relative squared error 63.1259 % Total Number of Instances 6663 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.689 0.045 0.718 0.689 0.703 0.945 chest 0.726 0.042 0.741 0.726 0.733 0.957 forearm 0.822 0.051 0.728 0.822 0.772 0.968 head 0.852 0.014 0.912 0.852 0.881 0.981 shin 0.791 0.025 0.843 0.791 0.816 0.97 thigh 0.784 0.042 0.756 0.784 0.769 0.962 upperarm 0.745 0.046 0.729 0.745 0.737 0.956 waist Weighted Avg. 0.773 0.038 0.775 0.773 0.773 0.963 === Confusion Matrix === a b c d e f g <-- classified as 655 56 53 6 26 63 92 | a = chest 47 689 104 4 32 41 32 | b = forearm 30 58 783 2 7 44 28 | c = head 18 16 13 811 40 24 30 | d = shin 27 26 24 42 755 36 45 | e = thigh 45 43 43 15 23 746 37 | f = upperarm 90 42 56 9 13 33 709 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 4 FOLD: 0 Correctly Classified Instances 5089 76.3655 % Incorrectly Classified Instances 1575 23.6345 % Kappa statistic 0.7243 Mean absolute error 0.1159 Root mean squared error 0.2232 Relative absolute error 47.3288 % Root relative squared error 63.7844 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.671 0.049 0.694 0.671 0.682 0.94 chest 0.726 0.041 0.745 0.726 0.736 0.952 forearm 0.83 0.052 0.728 0.83 0.775 0.972 head 0.867 0.014 0.91 0.867 0.888 0.989 shin 0.771 0.03 0.81 0.771 0.79 0.965 thigh 0.749 0.041 0.752 0.749 0.751 0.955 upperarm 0.731 0.048 0.719 0.731 0.725 0.954 waist Weighted Avg. 0.764 0.039 0.765 0.764 0.764 0.961 === Confusion Matrix === a b c d e f g <-- classified as 638 58 62 3 24 56 110 | a = chest 48 690 93 6 26 52 35 | b = forearm 29 45 791 0 10 50 28 | c = head 13 13 7 825 63 11 20 | d = shin 43 17 25 45 736 39 49 | e = thigh 56 50 61 11 31 713 30 | f = upperarm 92 53 48 17 19 27 696 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 5052 75.8103 % Incorrectly Classified Instances 1612 24.1897 % Kappa statistic 0.7178 Mean absolute error 0.1166 Root mean squared error 0.2246 Relative absolute error 47.608 % Root relative squared error 64.1832 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.677 0.056 0.668 0.677 0.673 0.941 chest 0.728 0.044 0.733 0.728 0.731 0.95 forearm 0.81 0.046 0.748 0.81 0.778 0.969 head 0.839 0.018 0.888 0.839 0.863 0.981 shin 0.767 0.027 0.826 0.767 0.796 0.966 thigh 0.754 0.048 0.724 0.754 0.739 0.955 upperarm 0.73 0.044 0.735 0.73 0.732 0.953 waist Weighted Avg. 0.758 0.04 0.76 0.758 0.759 0.959 === Confusion Matrix === a b c d e f g <-- classified as 644 60 47 6 21 72 101 | a = chest 56 692 94 10 24 47 27 | b = forearm 45 52 772 1 7 50 26 | c = head 19 11 14 799 57 21 31 | d = shin 38 26 30 50 732 44 34 | e = thigh 78 43 31 19 31 718 32 | f = upperarm 84 60 44 15 14 40 695 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 5068 76.0504 % Incorrectly Classified Instances 1596 23.9496 % Kappa statistic 0.7206 Mean absolute error 0.117 Root mean squared error 0.2244 Relative absolute error 47.7644 % Root relative squared error 64.1378 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.668 0.053 0.676 0.668 0.672 0.939 chest 0.693 0.04 0.742 0.693 0.716 0.947 forearm 0.841 0.054 0.724 0.841 0.778 0.97 head 0.841 0.014 0.91 0.841 0.874 0.982 shin 0.781 0.032 0.805 0.781 0.793 0.965 thigh 0.766 0.043 0.748 0.766 0.757 0.958 upperarm 0.734 0.044 0.735 0.734 0.735 0.953 waist Weighted Avg. 0.761 0.04 0.763 0.761 0.761 0.959 === Confusion Matrix === a b c d e f g <-- classified as 635 56 61 2 32 58 107 | a = chest 66 658 105 7 31 50 33 | b = forearm 32 46 801 1 8 48 17 | c = head 13 16 9 801 59 24 30 | d = shin 55 19 28 37 745 35 35 | e = thigh 58 45 49 17 24 729 30 | f = upperarm 80 47 54 15 26 31 699 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 5052 75.8103 % Incorrectly Classified Instances 1612 24.1897 % Kappa statistic 0.7178 Mean absolute error 0.1163 Root mean squared error 0.2246 Relative absolute error 47.4752 % Root relative squared error 64.1822 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.678 0.056 0.668 0.678 0.673 0.941 chest 0.698 0.04 0.745 0.698 0.721 0.949 forearm 0.825 0.052 0.726 0.825 0.772 0.967 head 0.829 0.016 0.899 0.829 0.862 0.98 shin 0.773 0.032 0.804 0.773 0.788 0.964 thigh 0.752 0.041 0.752 0.752 0.752 0.956 upperarm 0.752 0.046 0.731 0.752 0.742 0.957 waist Weighted Avg. 0.758 0.04 0.761 0.758 0.759 0.959 === Confusion Matrix === a b c d e f g <-- classified as 645 57 51 7 27 70 94 | a = chest 63 663 105 6 38 38 37 | b = forearm 33 48 786 5 5 43 33 | c = head 22 12 11 789 54 20 44 | d = shin 47 20 27 44 737 43 36 | e = thigh 66 51 55 11 34 716 19 | f = upperarm 89 39 48 16 22 22 716 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 5030 75.4802 % Incorrectly Classified Instances 1634 24.5198 % Kappa statistic 0.7139 Mean absolute error 0.1166 Root mean squared error 0.2252 Relative absolute error 47.6073 % Root relative squared error 64.3456 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.663 0.051 0.685 0.663 0.674 0.938 chest 0.734 0.044 0.735 0.734 0.734 0.951 forearm 0.828 0.049 0.737 0.828 0.78 0.971 head 0.843 0.015 0.902 0.843 0.872 0.983 shin 0.752 0.034 0.787 0.752 0.769 0.959 thigh 0.757 0.047 0.727 0.757 0.742 0.953 upperarm 0.706 0.046 0.721 0.706 0.714 0.949 waist Weighted Avg. 0.755 0.041 0.756 0.755 0.755 0.958 === Confusion Matrix === a b c d e f g <-- classified as 630 62 55 1 32 70 100 | a = chest 51 697 83 6 33 38 42 | b = forearm 33 49 788 2 11 46 23 | c = head 11 9 14 803 69 21 25 | d = shin 39 24 26 52 718 57 39 | e = thigh 56 57 45 16 26 721 31 | f = upperarm 100 50 58 10 23 39 673 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 5116 76.7707 % Incorrectly Classified Instances 1548 23.2293 % Kappa statistic 0.729 Mean absolute error 0.1151 Root mean squared error 0.2222 Relative absolute error 46.9815 % Root relative squared error 63.5095 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.709 0.05 0.704 0.709 0.706 0.949 chest 0.723 0.042 0.74 0.723 0.732 0.956 forearm 0.836 0.049 0.74 0.836 0.785 0.971 head 0.836 0.015 0.902 0.836 0.868 0.983 shin 0.783 0.034 0.796 0.783 0.789 0.964 thigh 0.762 0.039 0.764 0.762 0.763 0.958 upperarm 0.724 0.042 0.741 0.724 0.732 0.955 waist Weighted Avg. 0.768 0.039 0.77 0.768 0.768 0.962 === Confusion Matrix === a b c d e f g <-- classified as 674 54 53 2 33 64 70 | a = chest 48 687 95 5 33 41 41 | b = forearm 21 56 796 2 12 37 28 | c = head 18 16 15 796 60 21 26 | d = shin 41 23 23 43 748 37 40 | e = thigh 62 33 54 13 29 725 36 | f = upperarm 94 59 40 21 25 24 690 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 5131 76.9958 % Incorrectly Classified Instances 1533 23.0042 % Kappa statistic 0.7316 Mean absolute error 0.1134 Root mean squared error 0.2203 Relative absolute error 46.3237 % Root relative squared error 62.965 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.693 0.051 0.692 0.693 0.693 0.946 chest 0.746 0.041 0.752 0.746 0.749 0.956 forearm 0.827 0.05 0.736 0.827 0.778 0.971 head 0.857 0.015 0.904 0.857 0.88 0.981 shin 0.783 0.028 0.827 0.783 0.804 0.97 thigh 0.757 0.041 0.756 0.757 0.757 0.958 upperarm 0.726 0.043 0.737 0.726 0.731 0.954 waist Weighted Avg. 0.77 0.038 0.772 0.77 0.77 0.962 === Confusion Matrix === a b c d e f g <-- classified as 659 56 57 5 21 65 88 | a = chest 49 708 81 2 31 42 36 | b = forearm 29 51 787 6 7 49 23 | c = head 18 12 17 817 42 21 26 | d = shin 40 27 26 46 748 33 35 | e = thigh 60 37 47 16 32 721 39 | f = upperarm 97 50 55 12 24 23 691 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 5096 76.4706 % Incorrectly Classified Instances 1568 23.5294 % Kappa statistic 0.7255 Mean absolute error 0.1144 Root mean squared error 0.2213 Relative absolute error 46.7294 % Root relative squared error 63.2468 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.662 0.053 0.675 0.662 0.669 0.939 chest 0.724 0.042 0.74 0.724 0.732 0.958 forearm 0.826 0.052 0.727 0.826 0.773 0.967 head 0.855 0.016 0.902 0.855 0.878 0.985 shin 0.785 0.028 0.825 0.785 0.805 0.97 thigh 0.776 0.04 0.765 0.776 0.77 0.961 upperarm 0.724 0.044 0.731 0.724 0.727 0.951 waist Weighted Avg. 0.765 0.039 0.766 0.765 0.765 0.961 === Confusion Matrix === a b c d e f g <-- classified as 630 72 60 9 23 53 104 | a = chest 55 687 96 6 28 48 29 | b = forearm 42 45 787 3 5 36 35 | c = head 15 17 15 815 49 15 27 | d = shin 42 20 24 39 750 48 32 | e = thigh 48 42 42 22 32 738 27 | f = upperarm 101 45 58 10 22 27 689 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 5066 76.0204 % Incorrectly Classified Instances 1598 23.9796 % Kappa statistic 0.7202 Mean absolute error 0.1151 Root mean squared error 0.2227 Relative absolute error 46.9825 % Root relative squared error 63.6285 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.678 0.054 0.675 0.678 0.677 0.941 chest 0.714 0.044 0.73 0.714 0.722 0.954 forearm 0.83 0.047 0.747 0.83 0.786 0.97 head 0.841 0.015 0.901 0.841 0.87 0.983 shin 0.79 0.032 0.804 0.79 0.797 0.97 thigh 0.769 0.043 0.75 0.769 0.759 0.958 upperarm 0.7 0.044 0.725 0.7 0.712 0.952 waist Weighted Avg. 0.76 0.04 0.762 0.76 0.76 0.961 === Confusion Matrix === a b c d e f g <-- classified as 645 57 52 5 25 70 97 | a = chest 70 678 87 13 30 44 27 | b = forearm 28 56 791 0 12 39 27 | c = head 20 16 5 801 59 21 31 | d = shin 41 22 30 42 754 30 36 | e = thigh 54 45 53 9 24 731 35 | f = upperarm 97 55 41 19 34 40 666 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 5072 76.1219 % Incorrectly Classified Instances 1591 23.8781 % Kappa statistic 0.7214 Mean absolute error 0.1149 Root mean squared error 0.2223 Relative absolute error 46.902 % Root relative squared error 63.5239 % Total Number of Instances 6663 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.667 0.056 0.665 0.667 0.666 0.936 chest 0.712 0.04 0.747 0.712 0.729 0.954 forearm 0.818 0.053 0.721 0.818 0.767 0.972 head 0.852 0.013 0.915 0.852 0.882 0.984 shin 0.794 0.03 0.816 0.794 0.804 0.971 thigh 0.749 0.042 0.748 0.749 0.749 0.957 upperarm 0.736 0.045 0.733 0.736 0.735 0.955 waist Weighted Avg. 0.761 0.04 0.764 0.761 0.762 0.961 === Confusion Matrix === a b c d e f g <-- classified as 634 51 68 1 29 61 107 | a = chest 63 676 95 5 35 40 35 | b = forearm 31 50 780 1 8 49 34 | c = head 11 14 11 811 55 25 25 | d = shin 46 20 23 44 757 32 32 | e = thigh 75 51 60 12 19 713 22 | f = upperarm 93 43 45 12 25 33 701 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 5 FOLD: 0 Correctly Classified Instances 5109 76.6657 % Incorrectly Classified Instances 1555 23.3343 % Kappa statistic 0.7278 Mean absolute error 0.1149 Root mean squared error 0.2219 Relative absolute error 46.9356 % Root relative squared error 63.426 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.656 0.049 0.69 0.656 0.672 0.942 chest 0.727 0.044 0.732 0.727 0.73 0.956 forearm 0.848 0.052 0.733 0.848 0.786 0.973 head 0.841 0.014 0.91 0.841 0.874 0.982 shin 0.783 0.028 0.823 0.783 0.803 0.967 thigh 0.77 0.037 0.777 0.77 0.774 0.96 upperarm 0.741 0.048 0.718 0.741 0.729 0.953 waist Weighted Avg. 0.767 0.039 0.769 0.767 0.767 0.962 === Confusion Matrix === a b c d e f g <-- classified as 624 66 55 5 22 66 113 | a = chest 55 690 103 3 31 34 33 | b = forearm 30 46 808 3 6 36 24 | c = head 15 12 8 801 60 22 34 | d = shin 45 31 22 44 748 28 37 | e = thigh 57 44 52 11 19 733 36 | f = upperarm 79 53 55 13 23 24 705 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 5055 75.8553 % Incorrectly Classified Instances 1609 24.1447 % Kappa statistic 0.7183 Mean absolute error 0.1155 Root mean squared error 0.2229 Relative absolute error 47.1532 % Root relative squared error 63.7111 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.677 0.053 0.681 0.677 0.679 0.939 chest 0.697 0.044 0.723 0.697 0.71 0.951 forearm 0.812 0.055 0.711 0.812 0.758 0.971 head 0.843 0.013 0.915 0.843 0.878 0.984 shin 0.798 0.028 0.827 0.798 0.812 0.966 thigh 0.751 0.046 0.732 0.751 0.741 0.955 upperarm 0.731 0.043 0.74 0.731 0.736 0.955 waist Weighted Avg. 0.759 0.04 0.761 0.759 0.759 0.96 === Confusion Matrix === a b c d e f g <-- classified as 644 68 64 3 13 69 90 | a = chest 61 662 100 6 33 55 33 | b = forearm 29 57 774 3 6 54 30 | c = head 22 11 16 803 56 16 28 | d = shin 34 23 33 34 762 38 31 | e = thigh 61 49 54 15 26 714 32 | f = upperarm 94 45 48 14 25 30 696 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 5118 76.8007 % Incorrectly Classified Instances 1546 23.1993 % Kappa statistic 0.7293 Mean absolute error 0.1138 Root mean squared error 0.221 Relative absolute error 46.4776 % Root relative squared error 63.1503 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.69 0.048 0.705 0.69 0.697 0.946 chest 0.695 0.039 0.747 0.695 0.72 0.952 forearm 0.836 0.052 0.729 0.836 0.779 0.971 head 0.866 0.015 0.905 0.866 0.885 0.986 shin 0.791 0.031 0.808 0.791 0.799 0.971 thigh 0.769 0.043 0.749 0.769 0.759 0.963 upperarm 0.73 0.042 0.743 0.73 0.736 0.953 waist Weighted Avg. 0.768 0.039 0.769 0.768 0.768 0.963 === Confusion Matrix === a b c d e f g <-- classified as 656 46 63 2 27 68 89 | a = chest 45 660 115 9 37 49 35 | b = forearm 31 45 797 0 7 46 27 | c = head 14 6 13 824 57 7 31 | d = shin 39 19 22 45 755 36 39 | e = thigh 61 44 48 14 33 731 20 | f = upperarm 85 63 36 16 18 39 695 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 5041 75.6453 % Incorrectly Classified Instances 1623 24.3547 % Kappa statistic 0.7159 Mean absolute error 0.1166 Root mean squared error 0.225 Relative absolute error 47.6278 % Root relative squared error 64.3041 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.678 0.053 0.68 0.678 0.679 0.94 chest 0.717 0.039 0.752 0.717 0.734 0.952 forearm 0.808 0.057 0.704 0.808 0.752 0.964 head 0.85 0.018 0.885 0.85 0.867 0.985 shin 0.78 0.028 0.823 0.78 0.801 0.966 thigh 0.749 0.044 0.738 0.749 0.743 0.958 upperarm 0.713 0.044 0.728 0.713 0.72 0.947 waist Weighted Avg. 0.756 0.041 0.759 0.756 0.757 0.959 === Confusion Matrix === a b c d e f g <-- classified as 644 49 61 8 25 65 98 | a = chest 53 681 102 10 31 50 23 | b = forearm 39 56 769 4 7 49 28 | c = head 10 6 15 810 56 21 35 | d = shin 39 19 18 55 745 41 38 | e = thigh 68 41 65 14 19 713 32 | f = upperarm 94 54 62 14 22 27 679 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 5088 76.3505 % Incorrectly Classified Instances 1576 23.6495 % Kappa statistic 0.7241 Mean absolute error 0.1153 Root mean squared error 0.2227 Relative absolute error 47.0699 % Root relative squared error 63.6295 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.692 0.055 0.677 0.692 0.684 0.941 chest 0.685 0.044 0.72 0.685 0.702 0.95 forearm 0.82 0.045 0.752 0.82 0.785 0.971 head 0.861 0.017 0.892 0.861 0.877 0.983 shin 0.784 0.031 0.81 0.784 0.797 0.968 thigh 0.782 0.043 0.753 0.782 0.767 0.958 upperarm 0.72 0.041 0.745 0.72 0.732 0.958 waist Weighted Avg. 0.764 0.039 0.764 0.764 0.764 0.961 === Confusion Matrix === a b c d e f g <-- classified as 657 55 59 4 24 63 88 | a = chest 72 651 108 6 41 40 32 | b = forearm 29 56 781 3 8 48 27 | c = head 11 13 12 821 55 20 21 | d = shin 44 23 19 51 749 34 35 | e = thigh 48 59 32 15 23 744 31 | f = upperarm 109 47 27 20 25 39 685 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 5110 76.6807 % Incorrectly Classified Instances 1554 23.3193 % Kappa statistic 0.7279 Mean absolute error 0.1149 Root mean squared error 0.2218 Relative absolute error 46.9065 % Root relative squared error 63.3984 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.687 0.057 0.668 0.687 0.677 0.942 chest 0.723 0.037 0.766 0.723 0.744 0.955 forearm 0.851 0.049 0.742 0.851 0.793 0.973 head 0.859 0.016 0.902 0.859 0.88 0.983 shin 0.745 0.028 0.815 0.745 0.779 0.96 thigh 0.769 0.042 0.755 0.769 0.762 0.96 upperarm 0.733 0.044 0.736 0.733 0.735 0.959 waist Weighted Avg. 0.767 0.039 0.769 0.767 0.767 0.962 === Confusion Matrix === a b c d e f g <-- classified as 653 48 49 3 30 69 99 | a = chest 55 687 102 4 26 44 32 | b = forearm 33 43 810 1 12 33 20 | c = head 23 17 8 819 39 20 27 | d = shin 51 24 33 47 711 49 39 | e = thigh 65 35 37 17 33 732 33 | f = upperarm 98 43 52 17 21 23 698 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 5060 75.9304 % Incorrectly Classified Instances 1604 24.0696 % Kappa statistic 0.7192 Mean absolute error 0.115 Root mean squared error 0.2233 Relative absolute error 46.9431 % Root relative squared error 63.8052 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.656 0.05 0.684 0.656 0.67 0.941 chest 0.722 0.041 0.746 0.722 0.734 0.951 forearm 0.83 0.051 0.73 0.83 0.777 0.971 head 0.838 0.017 0.89 0.838 0.863 0.978 shin 0.765 0.029 0.815 0.765 0.789 0.967 thigh 0.75 0.042 0.748 0.75 0.749 0.951 upperarm 0.753 0.05 0.716 0.753 0.734 0.955 waist Weighted Avg. 0.759 0.04 0.761 0.759 0.759 0.959 === Confusion Matrix === a b c d e f g <-- classified as 624 66 57 8 19 72 105 | a = chest 63 686 88 7 26 34 46 | b = forearm 35 54 791 3 6 32 32 | c = head 10 8 18 798 68 29 21 | d = shin 35 23 26 54 730 49 37 | e = thigh 59 47 53 15 21 714 43 | f = upperarm 86 36 51 12 26 24 717 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 5026 75.4202 % Incorrectly Classified Instances 1638 24.5798 % Kappa statistic 0.7132 Mean absolute error 0.117 Root mean squared error 0.2246 Relative absolute error 47.7889 % Root relative squared error 64.1724 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.641 0.05 0.682 0.641 0.661 0.941 chest 0.727 0.043 0.736 0.727 0.732 0.957 forearm 0.812 0.049 0.734 0.812 0.771 0.968 head 0.839 0.014 0.908 0.839 0.872 0.982 shin 0.803 0.032 0.81 0.803 0.806 0.968 thigh 0.736 0.047 0.725 0.736 0.731 0.952 upperarm 0.72 0.052 0.697 0.72 0.708 0.955 waist Weighted Avg. 0.754 0.041 0.756 0.754 0.754 0.96 === Confusion Matrix === a b c d e f g <-- classified as 610 52 58 7 28 74 122 | a = chest 56 690 83 6 28 46 40 | b = forearm 33 57 774 0 12 47 30 | c = head 10 14 14 799 56 23 36 | d = shin 29 17 28 38 766 39 37 | e = thigh 59 57 56 14 32 701 33 | f = upperarm 98 50 42 16 24 37 686 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 5076 76.1705 % Incorrectly Classified Instances 1588 23.8295 % Kappa statistic 0.722 Mean absolute error 0.1154 Root mean squared error 0.2234 Relative absolute error 47.1157 % Root relative squared error 63.8459 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.677 0.053 0.68 0.677 0.679 0.944 chest 0.721 0.042 0.741 0.721 0.731 0.954 forearm 0.827 0.051 0.731 0.827 0.776 0.97 head 0.843 0.013 0.913 0.843 0.877 0.979 shin 0.787 0.031 0.808 0.787 0.797 0.965 thigh 0.761 0.041 0.753 0.761 0.757 0.956 upperarm 0.716 0.046 0.722 0.716 0.719 0.951 waist Weighted Avg. 0.762 0.04 0.764 0.762 0.762 0.96 === Confusion Matrix === a b c d e f g <-- classified as 644 54 62 3 28 58 102 | a = chest 45 684 95 5 35 47 38 | b = forearm 36 60 788 1 3 46 19 | c = head 14 12 16 803 57 16 34 | d = shin 51 23 22 39 751 39 29 | e = thigh 55 40 46 13 33 724 41 | f = upperarm 102 50 49 16 23 31 682 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 5095 76.4671 % Incorrectly Classified Instances 1568 23.5329 % Kappa statistic 0.7254 Mean absolute error 0.1158 Root mean squared error 0.2233 Relative absolute error 47.2993 % Root relative squared error 63.823 % Total Number of Instances 6663 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.69 0.052 0.689 0.69 0.689 0.938 chest 0.719 0.044 0.732 0.719 0.725 0.958 forearm 0.815 0.055 0.713 0.815 0.761 0.963 head 0.857 0.015 0.908 0.857 0.882 0.984 shin 0.778 0.031 0.807 0.778 0.792 0.964 thigh 0.779 0.038 0.773 0.779 0.776 0.963 upperarm 0.714 0.04 0.746 0.714 0.73 0.956 waist Weighted Avg. 0.765 0.039 0.767 0.765 0.765 0.961 === Confusion Matrix === a b c d e f g <-- classified as 656 51 63 6 29 59 87 | a = chest 60 682 107 9 27 38 26 | b = forearm 41 59 777 2 9 41 24 | c = head 11 13 17 816 57 12 26 | d = shin 37 28 32 40 742 35 40 | e = thigh 48 41 43 11 39 742 28 | f = upperarm 99 58 50 15 17 33 680 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 6 FOLD: 0 Correctly Classified Instances 5042 75.6603 % Incorrectly Classified Instances 1622 24.3397 % Kappa statistic 0.716 Mean absolute error 0.1161 Root mean squared error 0.2235 Relative absolute error 47.4191 % Root relative squared error 63.8811 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.647 0.053 0.671 0.647 0.659 0.936 chest 0.719 0.042 0.741 0.719 0.73 0.956 forearm 0.836 0.054 0.719 0.836 0.773 0.969 head 0.848 0.016 0.9 0.848 0.873 0.983 shin 0.782 0.032 0.804 0.782 0.793 0.965 thigh 0.762 0.042 0.75 0.762 0.756 0.96 upperarm 0.703 0.045 0.722 0.703 0.712 0.95 waist Weighted Avg. 0.757 0.041 0.758 0.757 0.757 0.96 === Confusion Matrix === a b c d e f g <-- classified as 615 60 73 4 26 68 105 | a = chest 55 682 90 3 32 47 40 | b = forearm 33 47 797 4 11 44 17 | c = head 18 14 11 807 51 24 27 | d = shin 45 15 27 45 747 35 41 | e = thigh 56 50 49 12 32 725 28 | f = upperarm 94 52 61 22 30 24 669 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 5064 75.9904 % Incorrectly Classified Instances 1600 24.0096 % Kappa statistic 0.7199 Mean absolute error 0.1152 Root mean squared error 0.2231 Relative absolute error 47.0441 % Root relative squared error 63.7456 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.685 0.052 0.687 0.685 0.686 0.946 chest 0.72 0.044 0.73 0.72 0.725 0.953 forearm 0.825 0.05 0.733 0.825 0.776 0.971 head 0.834 0.013 0.912 0.834 0.871 0.981 shin 0.768 0.034 0.792 0.768 0.779 0.964 thigh 0.762 0.044 0.744 0.762 0.753 0.958 upperarm 0.727 0.043 0.739 0.727 0.733 0.956 waist Weighted Avg. 0.76 0.04 0.762 0.76 0.76 0.961 === Confusion Matrix === a b c d e f g <-- classified as 651 55 56 3 25 65 96 | a = chest 64 683 96 5 27 43 31 | b = forearm 37 54 786 0 8 43 25 | c = head 17 12 14 794 72 17 26 | d = shin 47 22 23 46 733 51 33 | e = thigh 52 53 41 14 34 725 33 | f = upperarm 80 57 57 9 27 30 692 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 5083 76.2755 % Incorrectly Classified Instances 1581 23.7245 % Kappa statistic 0.7232 Mean absolute error 0.1144 Root mean squared error 0.2216 Relative absolute error 46.7154 % Root relative squared error 63.3279 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.654 0.048 0.696 0.654 0.674 0.943 chest 0.732 0.044 0.735 0.732 0.734 0.955 forearm 0.831 0.047 0.747 0.831 0.787 0.971 head 0.841 0.018 0.884 0.841 0.862 0.982 shin 0.763 0.031 0.803 0.763 0.782 0.967 thigh 0.787 0.043 0.755 0.787 0.771 0.964 upperarm 0.731 0.046 0.726 0.731 0.728 0.953 waist Weighted Avg. 0.763 0.04 0.764 0.763 0.763 0.962 === Confusion Matrix === a b c d e f g <-- classified as 622 66 59 9 28 57 110 | a = chest 54 695 85 15 25 48 27 | b = forearm 34 48 792 3 9 42 25 | c = head 11 20 11 801 57 19 34 | d = shin 36 25 33 53 728 43 36 | e = thigh 57 40 32 15 28 749 31 | f = upperarm 80 52 48 10 32 34 696 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 5086 76.3205 % Incorrectly Classified Instances 1578 23.6795 % Kappa statistic 0.7237 Mean absolute error 0.1159 Root mean squared error 0.2233 Relative absolute error 47.3251 % Root relative squared error 63.8238 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.686 0.048 0.702 0.686 0.694 0.943 chest 0.701 0.044 0.724 0.701 0.712 0.95 forearm 0.826 0.051 0.729 0.826 0.775 0.972 head 0.844 0.015 0.901 0.844 0.872 0.984 shin 0.79 0.03 0.815 0.79 0.803 0.969 thigh 0.755 0.043 0.746 0.755 0.751 0.957 upperarm 0.741 0.044 0.737 0.741 0.739 0.952 waist Weighted Avg. 0.763 0.039 0.765 0.763 0.763 0.961 === Confusion Matrix === a b c d e f g <-- classified as 652 63 56 1 26 63 90 | a = chest 55 666 107 4 42 39 37 | b = forearm 22 50 787 3 6 51 34 | c = head 15 18 9 804 54 20 33 | d = shin 39 24 30 45 754 30 32 | e = thigh 61 54 52 16 24 718 26 | f = upperarm 85 45 38 19 19 41 705 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 5097 76.4856 % Incorrectly Classified Instances 1567 23.5144 % Kappa statistic 0.7257 Mean absolute error 0.1152 Root mean squared error 0.2223 Relative absolute error 47.0422 % Root relative squared error 63.5394 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.67 0.055 0.668 0.67 0.669 0.934 chest 0.714 0.04 0.746 0.714 0.729 0.956 forearm 0.835 0.053 0.726 0.835 0.777 0.967 head 0.851 0.015 0.907 0.851 0.878 0.985 shin 0.787 0.028 0.824 0.787 0.805 0.967 thigh 0.766 0.041 0.758 0.766 0.762 0.962 upperarm 0.731 0.043 0.74 0.731 0.735 0.956 waist Weighted Avg. 0.765 0.039 0.767 0.765 0.765 0.961 === Confusion Matrix === a b c d e f g <-- classified as 637 54 63 6 28 69 94 | a = chest 65 678 110 5 24 42 26 | b = forearm 33 53 796 1 8 39 23 | c = head 15 12 8 811 50 22 35 | d = shin 38 26 24 37 751 40 38 | e = thigh 63 38 50 14 29 728 29 | f = upperarm 102 48 45 20 21 20 696 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 5052 75.8103 % Incorrectly Classified Instances 1612 24.1897 % Kappa statistic 0.7178 Mean absolute error 0.1158 Root mean squared error 0.2235 Relative absolute error 47.2929 % Root relative squared error 63.8603 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.668 0.051 0.684 0.668 0.676 0.94 chest 0.703 0.04 0.745 0.703 0.723 0.952 forearm 0.835 0.053 0.726 0.835 0.777 0.97 head 0.842 0.016 0.897 0.842 0.869 0.984 shin 0.767 0.029 0.814 0.767 0.79 0.966 thigh 0.744 0.045 0.734 0.744 0.739 0.953 upperarm 0.747 0.048 0.722 0.747 0.734 0.958 waist Weighted Avg. 0.758 0.04 0.76 0.758 0.758 0.96 === Confusion Matrix === a b c d e f g <-- classified as 635 55 56 8 19 75 103 | a = chest 67 668 91 6 30 52 36 | b = forearm 33 42 796 3 12 36 31 | c = head 9 8 17 802 59 26 31 | d = shin 34 28 30 50 732 41 39 | e = thigh 57 52 61 12 28 708 34 | f = upperarm 94 44 45 13 19 26 711 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 5083 76.2755 % Incorrectly Classified Instances 1581 23.7245 % Kappa statistic 0.7232 Mean absolute error 0.1145 Root mean squared error 0.2215 Relative absolute error 46.7446 % Root relative squared error 63.3124 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.703 0.059 0.664 0.703 0.683 0.945 chest 0.698 0.04 0.744 0.698 0.72 0.954 forearm 0.835 0.051 0.734 0.835 0.781 0.972 head 0.855 0.013 0.918 0.855 0.885 0.984 shin 0.782 0.026 0.833 0.782 0.806 0.969 thigh 0.733 0.046 0.726 0.733 0.73 0.953 upperarm 0.732 0.042 0.744 0.732 0.738 0.959 waist Weighted Avg. 0.763 0.04 0.766 0.763 0.764 0.962 === Confusion Matrix === a b c d e f g <-- classified as 669 50 56 1 15 69 91 | a = chest 66 663 101 6 27 50 37 | b = forearm 25 59 796 3 7 42 21 | c = head 23 9 10 814 44 28 24 | d = shin 46 19 25 36 746 46 36 | e = thigh 76 47 51 12 37 698 31 | f = upperarm 102 44 46 15 20 28 697 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 5093 76.4256 % Incorrectly Classified Instances 1571 23.5744 % Kappa statistic 0.725 Mean absolute error 0.1156 Root mean squared error 0.2231 Relative absolute error 47.191 % Root relative squared error 63.7642 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.681 0.052 0.684 0.681 0.682 0.945 chest 0.709 0.042 0.737 0.709 0.723 0.952 forearm 0.826 0.052 0.726 0.826 0.773 0.97 head 0.864 0.017 0.895 0.864 0.879 0.982 shin 0.777 0.029 0.819 0.777 0.797 0.966 thigh 0.742 0.037 0.769 0.742 0.755 0.954 upperarm 0.75 0.046 0.732 0.75 0.741 0.95 waist Weighted Avg. 0.764 0.039 0.766 0.764 0.764 0.96 === Confusion Matrix === a b c d e f g <-- classified as 647 60 56 5 29 52 101 | a = chest 54 674 114 7 30 33 38 | b = forearm 43 51 786 1 6 39 26 | c = head 15 14 15 823 50 15 20 | d = shin 40 25 18 55 742 36 39 | e = thigh 66 48 45 22 27 706 38 | f = upperarm 81 43 48 7 22 37 715 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 5031 75.4952 % Incorrectly Classified Instances 1633 24.5048 % Kappa statistic 0.7141 Mean absolute error 0.116 Root mean squared error 0.2239 Relative absolute error 47.3645 % Root relative squared error 63.9738 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.675 0.058 0.661 0.675 0.668 0.941 chest 0.705 0.045 0.723 0.705 0.714 0.948 forearm 0.797 0.049 0.73 0.797 0.762 0.969 head 0.84 0.015 0.902 0.84 0.87 0.983 shin 0.787 0.032 0.806 0.787 0.797 0.969 thigh 0.759 0.041 0.756 0.759 0.758 0.958 upperarm 0.72 0.046 0.721 0.72 0.721 0.953 waist Weighted Avg. 0.755 0.041 0.757 0.755 0.756 0.96 === Confusion Matrix === a b c d e f g <-- classified as 641 66 60 7 24 62 90 | a = chest 59 670 99 12 35 39 36 | b = forearm 37 65 759 1 6 46 38 | c = head 15 13 12 800 62 20 30 | d = shin 55 13 21 39 752 35 40 | e = thigh 61 50 48 12 27 723 31 | f = upperarm 102 50 41 16 27 31 686 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 5061 75.9568 % Incorrectly Classified Instances 1602 24.0432 % Kappa statistic 0.7195 Mean absolute error 0.1143 Root mean squared error 0.2219 Relative absolute error 46.6877 % Root relative squared error 63.4261 % Total Number of Instances 6663 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.691 0.052 0.687 0.691 0.689 0.948 chest 0.718 0.044 0.731 0.718 0.724 0.951 forearm 0.821 0.053 0.722 0.821 0.769 0.97 head 0.849 0.015 0.902 0.849 0.874 0.984 shin 0.785 0.03 0.812 0.785 0.798 0.968 thigh 0.739 0.044 0.737 0.739 0.738 0.956 upperarm 0.713 0.042 0.74 0.713 0.726 0.954 waist Weighted Avg. 0.76 0.04 0.762 0.76 0.76 0.961 === Confusion Matrix === a b c d e f g <-- classified as 657 50 59 6 21 68 90 | a = chest 50 681 98 9 32 47 32 | b = forearm 27 55 782 2 8 49 29 | c = head 16 10 10 808 67 20 21 | d = shin 40 25 32 40 750 34 34 | e = thigh 69 46 55 19 26 704 33 | f = upperarm 97 64 47 12 20 33 679 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 7 FOLD: 0 Correctly Classified Instances 5040 75.6303 % Incorrectly Classified Instances 1624 24.3697 % Kappa statistic 0.7157 Mean absolute error 0.1164 Root mean squared error 0.2245 Relative absolute error 47.5191 % Root relative squared error 64.1476 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.65 0.049 0.688 0.65 0.668 0.935 chest 0.717 0.043 0.734 0.717 0.725 0.95 forearm 0.843 0.055 0.72 0.843 0.777 0.973 head 0.836 0.017 0.893 0.836 0.864 0.981 shin 0.759 0.033 0.795 0.759 0.776 0.965 thigh 0.771 0.046 0.738 0.771 0.754 0.959 upperarm 0.718 0.043 0.738 0.718 0.728 0.948 waist Weighted Avg. 0.756 0.041 0.758 0.756 0.756 0.959 === Confusion Matrix === a b c d e f g <-- classified as 618 63 65 5 37 67 96 | a = chest 43 681 106 6 25 55 34 | b = forearm 34 41 803 5 9 42 19 | c = head 19 21 13 796 51 23 29 | d = shin 44 25 30 51 724 45 35 | e = thigh 52 44 43 14 35 734 30 | f = upperarm 88 53 55 14 30 28 684 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 5044 75.6903 % Incorrectly Classified Instances 1620 24.3097 % Kappa statistic 0.7164 Mean absolute error 0.1149 Root mean squared error 0.2225 Relative absolute error 46.9312 % Root relative squared error 63.5887 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.699 0.052 0.691 0.699 0.695 0.946 chest 0.733 0.04 0.751 0.733 0.742 0.956 forearm 0.799 0.051 0.722 0.799 0.758 0.968 head 0.837 0.017 0.892 0.837 0.864 0.98 shin 0.768 0.033 0.797 0.768 0.782 0.969 thigh 0.743 0.044 0.737 0.743 0.74 0.955 upperarm 0.72 0.046 0.723 0.72 0.721 0.955 waist Weighted Avg. 0.757 0.041 0.759 0.757 0.757 0.961 === Confusion Matrix === a b c d e f g <-- classified as 665 48 60 2 20 63 93 | a = chest 40 696 93 3 35 43 40 | b = forearm 30 55 761 4 8 61 34 | c = head 18 15 14 797 63 21 24 | d = shin 48 24 26 53 733 33 37 | e = thigh 54 40 56 21 39 707 35 | f = upperarm 108 49 44 13 22 31 685 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 5037 75.5852 % Incorrectly Classified Instances 1627 24.4148 % Kappa statistic 0.7152 Mean absolute error 0.1158 Root mean squared error 0.2238 Relative absolute error 47.28 % Root relative squared error 63.9548 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.664 0.057 0.661 0.664 0.662 0.94 chest 0.717 0.037 0.763 0.717 0.739 0.958 forearm 0.82 0.053 0.719 0.82 0.766 0.967 head 0.838 0.014 0.91 0.838 0.873 0.979 shin 0.774 0.036 0.78 0.774 0.777 0.963 thigh 0.754 0.039 0.761 0.754 0.758 0.957 upperarm 0.725 0.048 0.715 0.725 0.72 0.956 waist Weighted Avg. 0.756 0.041 0.759 0.756 0.756 0.96 === Confusion Matrix === a b c d e f g <-- classified as 631 62 56 6 24 66 106 | a = chest 59 681 96 4 48 34 28 | b = forearm 39 51 781 2 9 41 30 | c = head 16 13 15 798 59 19 32 | d = shin 53 19 28 37 738 30 49 | e = thigh 65 35 55 13 36 718 30 | f = upperarm 92 31 55 17 32 35 690 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 5124 76.8908 % Incorrectly Classified Instances 1540 23.1092 % Kappa statistic 0.7304 Mean absolute error 0.1142 Root mean squared error 0.2208 Relative absolute error 46.6338 % Root relative squared error 63.0895 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.69 0.052 0.689 0.69 0.689 0.945 chest 0.722 0.044 0.73 0.722 0.726 0.952 forearm 0.831 0.047 0.746 0.831 0.786 0.974 head 0.859 0.015 0.906 0.859 0.882 0.984 shin 0.779 0.025 0.837 0.779 0.807 0.97 thigh 0.738 0.039 0.758 0.738 0.748 0.958 upperarm 0.763 0.047 0.731 0.763 0.747 0.958 waist Weighted Avg. 0.769 0.039 0.771 0.769 0.769 0.963 === Confusion Matrix === a b c d e f g <-- classified as 656 66 53 5 20 54 97 | a = chest 65 685 92 5 30 38 34 | b = forearm 35 49 792 0 8 42 27 | c = head 16 11 12 818 43 19 33 | d = shin 42 20 23 47 744 41 38 | e = thigh 58 59 54 12 28 703 38 | f = upperarm 80 48 35 16 16 31 726 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 5104 76.5906 % Incorrectly Classified Instances 1560 23.4094 % Kappa statistic 0.7269 Mean absolute error 0.1158 Root mean squared error 0.2223 Relative absolute error 47.3032 % Root relative squared error 63.5324 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.664 0.052 0.681 0.664 0.672 0.943 chest 0.733 0.046 0.725 0.733 0.729 0.952 forearm 0.842 0.049 0.743 0.842 0.789 0.973 head 0.859 0.014 0.91 0.859 0.884 0.985 shin 0.799 0.028 0.828 0.799 0.813 0.968 thigh 0.741 0.04 0.757 0.741 0.749 0.958 upperarm 0.724 0.045 0.728 0.724 0.726 0.957 waist Weighted Avg. 0.766 0.039 0.768 0.766 0.766 0.962 === Confusion Matrix === a b c d e f g <-- classified as 631 64 63 3 27 61 102 | a = chest 56 696 84 9 27 41 36 | b = forearm 26 54 802 3 8 38 22 | c = head 13 11 14 818 44 22 30 | d = shin 38 19 27 40 763 36 32 | e = thigh 63 51 50 13 34 705 36 | f = upperarm 100 65 39 13 18 28 689 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 5094 76.4406 % Incorrectly Classified Instances 1570 23.5594 % Kappa statistic 0.7251 Mean absolute error 0.1152 Root mean squared error 0.2225 Relative absolute error 47.0483 % Root relative squared error 63.5895 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.694 0.058 0.667 0.694 0.68 0.937 chest 0.713 0.04 0.746 0.713 0.729 0.954 forearm 0.836 0.057 0.71 0.836 0.768 0.968 head 0.856 0.012 0.923 0.856 0.888 0.983 shin 0.794 0.03 0.816 0.794 0.805 0.968 thigh 0.75 0.039 0.762 0.75 0.756 0.958 upperarm 0.707 0.039 0.751 0.707 0.729 0.956 waist Weighted Avg. 0.764 0.039 0.768 0.764 0.765 0.961 === Confusion Matrix === a b c d e f g <-- classified as 660 50 78 4 25 55 79 | a = chest 71 677 103 5 31 32 30 | b = forearm 35 50 796 2 11 38 20 | c = head 16 8 13 815 51 20 29 | d = shin 45 16 24 30 758 38 44 | e = thigh 65 52 54 18 28 714 21 | f = upperarm 97 55 53 9 25 40 674 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 5093 76.4256 % Incorrectly Classified Instances 1571 23.5744 % Kappa statistic 0.725 Mean absolute error 0.1161 Root mean squared error 0.2237 Relative absolute error 47.4254 % Root relative squared error 63.9275 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.668 0.051 0.686 0.668 0.677 0.94 chest 0.712 0.042 0.738 0.712 0.725 0.949 forearm 0.828 0.051 0.729 0.828 0.775 0.968 head 0.857 0.015 0.906 0.857 0.881 0.985 shin 0.77 0.029 0.818 0.77 0.793 0.966 thigh 0.77 0.046 0.738 0.77 0.753 0.956 upperarm 0.745 0.042 0.747 0.745 0.746 0.958 waist Weighted Avg. 0.764 0.039 0.766 0.764 0.764 0.96 === Confusion Matrix === a b c d e f g <-- classified as 635 64 55 6 24 68 99 | a = chest 52 676 100 7 26 55 33 | b = forearm 38 47 788 2 2 48 27 | c = head 18 7 14 817 58 18 21 | d = shin 43 31 22 44 735 44 36 | e = thigh 54 48 52 11 30 732 24 | f = upperarm 85 43 50 15 23 27 710 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 5084 76.2905 % Incorrectly Classified Instances 1580 23.7095 % Kappa statistic 0.7234 Mean absolute error 0.1135 Root mean squared error 0.2212 Relative absolute error 46.3563 % Root relative squared error 63.217 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.685 0.052 0.685 0.685 0.685 0.941 chest 0.707 0.038 0.758 0.707 0.732 0.953 forearm 0.82 0.048 0.738 0.82 0.777 0.969 head 0.857 0.017 0.892 0.857 0.874 0.985 shin 0.771 0.032 0.801 0.771 0.785 0.967 thigh 0.763 0.042 0.75 0.763 0.757 0.959 upperarm 0.736 0.046 0.726 0.736 0.731 0.956 waist Weighted Avg. 0.763 0.04 0.764 0.763 0.763 0.962 === Confusion Matrix === a b c d e f g <-- classified as 651 43 57 6 30 73 91 | a = chest 54 672 94 9 37 44 40 | b = forearm 36 47 781 5 9 37 37 | c = head 13 13 8 817 64 13 25 | d = shin 39 25 23 48 736 41 43 | e = thigh 68 42 47 14 25 726 29 | f = upperarm 89 45 48 17 18 34 701 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 5036 75.5702 % Incorrectly Classified Instances 1628 24.4298 % Kappa statistic 0.715 Mean absolute error 0.1167 Root mean squared error 0.2252 Relative absolute error 47.6672 % Root relative squared error 64.3537 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.681 0.052 0.687 0.681 0.684 0.941 chest 0.697 0.043 0.728 0.697 0.712 0.947 forearm 0.83 0.047 0.745 0.83 0.785 0.971 head 0.848 0.019 0.884 0.848 0.866 0.983 shin 0.76 0.033 0.795 0.76 0.777 0.965 thigh 0.767 0.046 0.735 0.767 0.751 0.956 upperarm 0.707 0.045 0.722 0.707 0.714 0.946 waist Weighted Avg. 0.756 0.041 0.757 0.756 0.756 0.958 === Confusion Matrix === a b c d e f g <-- classified as 647 52 47 3 28 74 99 | a = chest 68 662 98 10 31 38 43 | b = forearm 30 53 791 1 5 52 21 | c = head 15 19 10 808 59 16 26 | d = shin 39 24 30 61 725 48 27 | e = thigh 43 48 36 19 33 730 43 | f = upperarm 100 51 50 12 31 35 673 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 5066 76.0318 % Incorrectly Classified Instances 1597 23.9682 % Kappa statistic 0.7204 Mean absolute error 0.1155 Root mean squared error 0.2228 Relative absolute error 47.1759 % Root relative squared error 63.6794 % Total Number of Instances 6663 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.678 0.052 0.684 0.678 0.681 0.945 chest 0.718 0.046 0.723 0.718 0.721 0.956 forearm 0.801 0.05 0.729 0.801 0.763 0.967 head 0.841 0.017 0.893 0.841 0.866 0.984 shin 0.79 0.028 0.826 0.79 0.808 0.967 thigh 0.756 0.046 0.732 0.756 0.744 0.96 upperarm 0.737 0.041 0.748 0.737 0.742 0.955 waist Weighted Avg. 0.76 0.04 0.762 0.76 0.761 0.962 === Confusion Matrix === a b c d e f g <-- classified as 644 71 53 6 23 64 89 | a = chest 54 682 92 3 29 54 36 | b = forearm 45 54 763 1 11 48 31 | c = head 17 10 16 801 56 27 25 | d = shin 37 23 21 53 754 38 28 | e = thigh 70 40 50 16 28 720 28 | f = upperarm 75 63 51 17 12 32 702 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 8 FOLD: 0 Correctly Classified Instances 5057 75.8854 % Incorrectly Classified Instances 1607 24.1146 % Kappa statistic 0.7187 Mean absolute error 0.1158 Root mean squared error 0.2229 Relative absolute error 47.2775 % Root relative squared error 63.7115 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.667 0.052 0.682 0.667 0.674 0.94 chest 0.713 0.042 0.738 0.713 0.726 0.954 forearm 0.82 0.049 0.737 0.82 0.777 0.97 head 0.855 0.018 0.889 0.855 0.872 0.985 shin 0.779 0.029 0.818 0.779 0.798 0.97 thigh 0.77 0.043 0.747 0.77 0.758 0.96 upperarm 0.707 0.048 0.708 0.707 0.708 0.952 waist Weighted Avg. 0.759 0.04 0.76 0.759 0.759 0.962 === Confusion Matrix === a b c d e f g <-- classified as 634 55 53 4 29 60 116 | a = chest 58 677 94 7 24 47 42 | b = forearm 32 55 781 3 4 51 26 | c = head 15 9 15 815 59 17 23 | d = shin 29 23 28 54 744 45 32 | e = thigh 62 40 38 17 24 733 38 | f = upperarm 100 58 50 17 26 28 673 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 5085 76.3055 % Incorrectly Classified Instances 1579 23.6945 % Kappa statistic 0.7236 Mean absolute error 0.1147 Root mean squared error 0.2221 Relative absolute error 46.8192 % Root relative squared error 63.4825 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.664 0.049 0.691 0.664 0.677 0.943 chest 0.719 0.039 0.755 0.719 0.737 0.952 forearm 0.823 0.05 0.731 0.823 0.774 0.97 head 0.829 0.015 0.901 0.829 0.863 0.982 shin 0.792 0.03 0.815 0.792 0.803 0.968 thigh 0.753 0.046 0.732 0.753 0.742 0.957 upperarm 0.763 0.047 0.732 0.763 0.747 0.958 waist Weighted Avg. 0.763 0.039 0.765 0.763 0.763 0.961 === Confusion Matrix === a b c d e f g <-- classified as 631 60 60 5 30 66 99 | a = chest 56 682 94 10 27 47 33 | b = forearm 40 47 784 3 8 39 32 | c = head 22 12 9 789 54 33 33 | d = shin 32 14 32 43 756 41 37 | e = thigh 57 48 51 11 36 717 32 | f = upperarm 75 40 42 15 17 37 726 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 5052 75.8103 % Incorrectly Classified Instances 1612 24.1897 % Kappa statistic 0.7178 Mean absolute error 0.1168 Root mean squared error 0.2241 Relative absolute error 47.7061 % Root relative squared error 64.0389 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.678 0.055 0.673 0.678 0.676 0.941 chest 0.718 0.043 0.737 0.718 0.727 0.955 forearm 0.839 0.05 0.739 0.839 0.786 0.968 head 0.849 0.017 0.893 0.849 0.87 0.984 shin 0.757 0.03 0.807 0.757 0.781 0.967 thigh 0.749 0.041 0.752 0.749 0.751 0.958 upperarm 0.716 0.047 0.718 0.716 0.717 0.955 waist Weighted Avg. 0.758 0.04 0.76 0.758 0.758 0.961 === Confusion Matrix === a b c d e f g <-- classified as 645 60 57 2 22 71 94 | a = chest 54 681 97 6 29 48 34 | b = forearm 33 52 800 1 8 32 27 | c = head 17 12 12 808 61 16 26 | d = shin 41 23 24 53 723 40 51 | e = thigh 69 43 46 13 32 713 36 | f = upperarm 99 53 47 22 21 28 682 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 5057 75.8854 % Incorrectly Classified Instances 1607 24.1146 % Kappa statistic 0.7187 Mean absolute error 0.1159 Root mean squared error 0.2235 Relative absolute error 47.3186 % Root relative squared error 63.8779 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.675 0.052 0.684 0.675 0.679 0.942 chest 0.713 0.039 0.751 0.713 0.731 0.955 forearm 0.823 0.053 0.723 0.823 0.77 0.97 head 0.824 0.017 0.891 0.824 0.856 0.979 shin 0.778 0.034 0.794 0.778 0.786 0.963 thigh 0.758 0.044 0.74 0.758 0.749 0.957 upperarm 0.742 0.043 0.743 0.742 0.743 0.954 waist Weighted Avg. 0.759 0.04 0.761 0.759 0.759 0.96 === Confusion Matrix === a b c d e f g <-- classified as 642 49 63 7 37 65 88 | a = chest 45 677 97 9 36 49 37 | b = forearm 39 49 784 2 12 44 23 | c = head 14 18 17 784 59 25 35 | d = shin 48 25 24 47 742 34 34 | e = thigh 69 41 49 18 26 721 27 | f = upperarm 82 42 50 13 23 36 707 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 5045 75.7053 % Incorrectly Classified Instances 1619 24.2947 % Kappa statistic 0.7166 Mean absolute error 0.1156 Root mean squared error 0.2238 Relative absolute error 47.1922 % Root relative squared error 63.9425 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.665 0.052 0.68 0.665 0.672 0.942 chest 0.711 0.04 0.748 0.711 0.729 0.953 forearm 0.829 0.049 0.738 0.829 0.781 0.97 head 0.841 0.016 0.9 0.841 0.87 0.981 shin 0.781 0.037 0.781 0.781 0.781 0.966 thigh 0.757 0.047 0.727 0.757 0.742 0.955 upperarm 0.716 0.043 0.737 0.716 0.726 0.955 waist Weighted Avg. 0.757 0.04 0.759 0.757 0.757 0.96 === Confusion Matrix === a b c d e f g <-- classified as 632 56 57 7 28 87 84 | a = chest 61 675 96 6 38 42 32 | b = forearm 27 41 790 0 8 56 31 | c = head 15 14 13 801 66 20 23 | d = shin 41 14 28 45 745 40 41 | e = thigh 55 52 35 19 37 720 33 | f = upperarm 99 50 52 12 32 26 682 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 5018 75.3001 % Incorrectly Classified Instances 1646 24.6999 % Kappa statistic 0.7118 Mean absolute error 0.1172 Root mean squared error 0.2251 Relative absolute error 47.8447 % Root relative squared error 64.3409 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.66 0.053 0.674 0.66 0.667 0.939 chest 0.714 0.052 0.697 0.714 0.705 0.95 forearm 0.83 0.051 0.732 0.83 0.778 0.971 head 0.854 0.016 0.9 0.854 0.877 0.985 shin 0.753 0.027 0.822 0.753 0.786 0.965 thigh 0.763 0.041 0.754 0.763 0.758 0.955 upperarm 0.697 0.048 0.706 0.697 0.702 0.95 waist Weighted Avg. 0.753 0.041 0.755 0.753 0.753 0.959 === Confusion Matrix === a b c d e f g <-- classified as 628 66 66 0 19 67 105 | a = chest 55 678 104 4 26 38 45 | b = forearm 40 54 791 2 5 39 22 | c = head 10 19 13 813 50 16 31 | d = shin 47 34 21 52 718 42 40 | e = thigh 51 58 44 12 28 726 33 | f = upperarm 101 64 41 20 27 35 664 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 5153 77.3259 % Incorrectly Classified Instances 1511 22.6741 % Kappa statistic 0.7355 Mean absolute error 0.1122 Root mean squared error 0.2184 Relative absolute error 45.808 % Root relative squared error 62.4014 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.725 0.052 0.699 0.725 0.711 0.95 chest 0.724 0.04 0.75 0.724 0.737 0.955 forearm 0.851 0.053 0.73 0.851 0.786 0.975 head 0.845 0.018 0.887 0.845 0.865 0.982 shin 0.787 0.027 0.832 0.787 0.809 0.971 thigh 0.739 0.032 0.792 0.739 0.765 0.959 upperarm 0.742 0.043 0.742 0.742 0.742 0.959 waist Weighted Avg. 0.773 0.038 0.776 0.773 0.774 0.964 === Confusion Matrix === a b c d e f g <-- classified as 689 48 55 7 16 44 92 | a = chest 57 688 94 8 34 34 35 | b = forearm 27 58 811 2 5 31 19 | c = head 20 8 15 804 51 17 37 | d = shin 36 22 27 45 751 39 34 | e = thigh 68 49 60 21 21 704 29 | f = upperarm 89 44 49 19 25 20 706 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 5057 75.8854 % Incorrectly Classified Instances 1607 24.1146 % Kappa statistic 0.7187 Mean absolute error 0.1172 Root mean squared error 0.2249 Relative absolute error 47.8405 % Root relative squared error 64.2709 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.672 0.051 0.685 0.672 0.678 0.939 chest 0.718 0.042 0.741 0.718 0.729 0.95 forearm 0.829 0.052 0.727 0.829 0.775 0.97 head 0.84 0.013 0.917 0.84 0.877 0.983 shin 0.773 0.033 0.798 0.773 0.785 0.962 thigh 0.753 0.045 0.735 0.753 0.744 0.958 upperarm 0.727 0.046 0.726 0.727 0.727 0.95 waist Weighted Avg. 0.759 0.04 0.761 0.759 0.759 0.959 === Confusion Matrix === a b c d e f g <-- classified as 639 44 66 4 35 53 110 | a = chest 53 682 98 4 39 41 33 | b = forearm 28 46 790 2 8 52 27 | c = head 21 14 12 800 58 21 26 | d = shin 43 25 19 41 737 54 35 | e = thigh 59 55 45 13 33 717 30 | f = upperarm 90 54 56 8 14 38 692 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 5083 76.2755 % Incorrectly Classified Instances 1581 23.7245 % Kappa statistic 0.7232 Mean absolute error 0.1162 Root mean squared error 0.2241 Relative absolute error 47.4617 % Root relative squared error 64.0409 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.693 0.055 0.677 0.693 0.685 0.943 chest 0.699 0.043 0.731 0.699 0.715 0.949 forearm 0.815 0.049 0.735 0.815 0.773 0.967 head 0.864 0.015 0.906 0.864 0.884 0.985 shin 0.775 0.029 0.815 0.775 0.794 0.967 thigh 0.771 0.044 0.746 0.771 0.758 0.956 upperarm 0.723 0.042 0.741 0.723 0.732 0.95 waist Weighted Avg. 0.763 0.04 0.765 0.763 0.763 0.96 === Confusion Matrix === a b c d e f g <-- classified as 658 55 54 3 24 57 99 | a = chest 67 664 91 7 38 54 29 | b = forearm 40 54 776 1 8 47 26 | c = head 17 14 9 823 46 23 21 | d = shin 49 20 30 46 740 38 32 | e = thigh 51 45 51 14 24 734 33 | f = upperarm 90 56 45 14 28 31 688 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 5125 76.9173 % Incorrectly Classified Instances 1538 23.0827 % Kappa statistic 0.7307 Mean absolute error 0.113 Root mean squared error 0.2199 Relative absolute error 46.1475 % Root relative squared error 62.8314 % Total Number of Instances 6663 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.693 0.056 0.674 0.693 0.683 0.943 chest 0.727 0.045 0.727 0.727 0.727 0.958 forearm 0.815 0.048 0.738 0.815 0.775 0.971 head 0.872 0.014 0.913 0.872 0.892 0.985 shin 0.782 0.025 0.838 0.782 0.809 0.968 thigh 0.761 0.039 0.763 0.761 0.762 0.959 upperarm 0.734 0.042 0.746 0.734 0.74 0.957 waist Weighted Avg. 0.769 0.038 0.772 0.769 0.77 0.963 === Confusion Matrix === a b c d e f g <-- classified as 658 73 59 1 17 53 89 | a = chest 56 690 92 9 23 39 40 | b = forearm 33 58 776 3 9 45 28 | c = head 14 11 10 831 50 16 21 | d = shin 51 25 20 44 747 38 30 | e = thigh 69 44 53 10 22 724 30 | f = upperarm 95 48 41 12 23 34 699 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 9 FOLD: 0 Correctly Classified Instances 5110 76.6807 % Incorrectly Classified Instances 1554 23.3193 % Kappa statistic 0.7279 Mean absolute error 0.1144 Root mean squared error 0.2214 Relative absolute error 46.709 % Root relative squared error 63.2579 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.666 0.048 0.696 0.666 0.681 0.943 chest 0.731 0.04 0.753 0.731 0.741 0.956 forearm 0.825 0.052 0.724 0.825 0.771 0.97 head 0.843 0.013 0.913 0.843 0.876 0.981 shin 0.783 0.027 0.829 0.783 0.805 0.969 thigh 0.771 0.043 0.747 0.771 0.759 0.956 upperarm 0.75 0.048 0.724 0.75 0.737 0.956 waist Weighted Avg. 0.767 0.039 0.77 0.767 0.767 0.962 === Confusion Matrix === a b c d e f g <-- classified as 633 63 55 8 17 73 102 | a = chest 49 694 100 3 30 48 26 | b = forearm 26 60 785 0 7 44 30 | c = head 14 13 15 803 53 23 32 | d = shin 44 18 28 37 747 38 42 | e = thigh 59 39 45 12 23 733 40 | f = upperarm 84 35 56 17 24 22 715 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 5044 75.6903 % Incorrectly Classified Instances 1620 24.3097 % Kappa statistic 0.7164 Mean absolute error 0.116 Root mean squared error 0.2236 Relative absolute error 47.3647 % Root relative squared error 63.8965 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.672 0.057 0.661 0.672 0.666 0.937 chest 0.703 0.038 0.755 0.703 0.728 0.952 forearm 0.833 0.054 0.719 0.833 0.772 0.968 head 0.852 0.015 0.907 0.852 0.879 0.983 shin 0.758 0.03 0.811 0.758 0.784 0.965 thigh 0.756 0.046 0.731 0.756 0.743 0.957 upperarm 0.724 0.044 0.735 0.724 0.729 0.956 waist Weighted Avg. 0.757 0.041 0.76 0.757 0.757 0.96 === Confusion Matrix === a b c d e f g <-- classified as 638 52 75 0 18 69 98 | a = chest 56 668 104 6 34 44 38 | b = forearm 43 47 793 1 5 41 22 | c = head 17 5 8 812 58 24 29 | d = shin 51 17 28 51 724 47 37 | e = thigh 72 41 56 9 29 719 25 | f = upperarm 88 55 39 16 25 40 690 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 5073 76.1255 % Incorrectly Classified Instances 1591 23.8745 % Kappa statistic 0.7215 Mean absolute error 0.1151 Root mean squared error 0.2232 Relative absolute error 47.0046 % Root relative squared error 63.7873 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.687 0.057 0.667 0.687 0.677 0.943 chest 0.699 0.04 0.742 0.699 0.719 0.954 forearm 0.841 0.048 0.744 0.841 0.79 0.969 head 0.832 0.015 0.905 0.832 0.867 0.98 shin 0.786 0.033 0.8 0.786 0.793 0.964 thigh 0.745 0.041 0.753 0.745 0.749 0.957 upperarm 0.738 0.045 0.733 0.738 0.736 0.956 waist Weighted Avg. 0.761 0.04 0.764 0.761 0.762 0.96 === Confusion Matrix === a b c d e f g <-- classified as 653 56 47 7 33 47 107 | a = chest 68 663 96 7 36 47 32 | b = forearm 33 38 801 4 8 43 26 | c = head 23 18 11 793 61 24 23 | d = shin 38 24 23 37 751 40 42 | e = thigh 67 50 59 13 28 709 26 | f = upperarm 97 45 39 15 22 31 703 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 5099 76.5156 % Incorrectly Classified Instances 1565 23.4844 % Kappa statistic 0.726 Mean absolute error 0.1139 Root mean squared error 0.2212 Relative absolute error 46.5014 % Root relative squared error 63.2141 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.705 0.054 0.686 0.705 0.695 0.949 chest 0.713 0.038 0.756 0.713 0.734 0.955 forearm 0.821 0.051 0.727 0.821 0.771 0.969 head 0.859 0.015 0.904 0.859 0.881 0.983 shin 0.774 0.026 0.83 0.774 0.801 0.966 thigh 0.75 0.038 0.766 0.75 0.758 0.955 upperarm 0.734 0.051 0.707 0.734 0.721 0.955 waist Weighted Avg. 0.765 0.039 0.768 0.765 0.766 0.962 === Confusion Matrix === a b c d e f g <-- classified as 670 40 54 4 17 53 113 | a = chest 55 677 94 8 28 48 39 | b = forearm 37 53 782 5 6 43 27 | c = head 13 8 14 818 49 16 34 | d = shin 48 29 28 41 739 35 35 | e = thigh 65 44 47 17 24 714 41 | f = upperarm 89 45 57 12 27 23 699 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 5033 75.5252 % Incorrectly Classified Instances 1631 24.4748 % Kappa statistic 0.7145 Mean absolute error 0.1154 Root mean squared error 0.2234 Relative absolute error 47.1031 % Root relative squared error 63.8283 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.655 0.054 0.67 0.655 0.662 0.937 chest 0.702 0.046 0.718 0.702 0.71 0.951 forearm 0.83 0.055 0.715 0.83 0.768 0.968 head 0.837 0.017 0.892 0.837 0.864 0.984 shin 0.776 0.029 0.82 0.776 0.797 0.966 thigh 0.766 0.043 0.746 0.766 0.756 0.961 upperarm 0.721 0.042 0.742 0.721 0.731 0.953 waist Weighted Avg. 0.755 0.041 0.757 0.755 0.755 0.96 === Confusion Matrix === a b c d e f g <-- classified as 623 57 71 4 26 72 98 | a = chest 60 666 104 9 29 55 26 | b = forearm 31 49 791 2 15 34 31 | c = head 17 16 13 797 52 23 34 | d = shin 44 31 26 52 741 35 26 | e = thigh 48 53 57 14 27 729 24 | f = upperarm 107 56 45 15 14 29 686 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4989 74.8649 % Incorrectly Classified Instances 1675 25.1351 % Kappa statistic 0.7068 Mean absolute error 0.117 Root mean squared error 0.2263 Relative absolute error 47.7899 % Root relative squared error 64.6653 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.677 0.052 0.684 0.677 0.68 0.939 chest 0.692 0.046 0.714 0.692 0.703 0.945 forearm 0.794 0.055 0.705 0.794 0.747 0.966 head 0.849 0.017 0.891 0.849 0.869 0.983 shin 0.75 0.032 0.798 0.75 0.773 0.963 thigh 0.778 0.048 0.73 0.778 0.753 0.958 upperarm 0.7 0.043 0.732 0.7 0.715 0.951 waist Weighted Avg. 0.749 0.042 0.751 0.749 0.749 0.958 === Confusion Matrix === a b c d e f g <-- classified as 644 64 60 4 19 64 96 | a = chest 50 657 118 9 38 48 29 | b = forearm 35 64 757 2 9 51 35 | c = head 17 14 15 808 59 21 18 | d = shin 42 28 26 60 716 50 33 | e = thigh 51 41 46 12 28 741 33 | f = upperarm 103 52 51 12 28 40 666 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 5118 76.8007 % Incorrectly Classified Instances 1546 23.1993 % Kappa statistic 0.7293 Mean absolute error 0.1137 Root mean squared error 0.2206 Relative absolute error 46.4368 % Root relative squared error 63.029 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.688 0.053 0.686 0.688 0.687 0.942 chest 0.723 0.038 0.758 0.723 0.74 0.955 forearm 0.834 0.047 0.747 0.834 0.788 0.974 head 0.838 0.017 0.891 0.838 0.864 0.983 shin 0.783 0.031 0.809 0.783 0.796 0.968 thigh 0.774 0.041 0.758 0.774 0.766 0.961 upperarm 0.735 0.044 0.738 0.735 0.736 0.956 waist Weighted Avg. 0.768 0.039 0.77 0.768 0.768 0.963 === Confusion Matrix === a b c d e f g <-- classified as 654 54 57 4 27 68 87 | a = chest 70 687 91 6 31 30 35 | b = forearm 29 52 795 4 7 39 27 | c = head 19 14 11 798 58 19 33 | d = shin 32 20 28 49 747 46 32 | e = thigh 55 38 37 19 31 737 35 | f = upperarm 95 41 45 16 22 33 700 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 5064 75.9904 % Incorrectly Classified Instances 1600 24.0096 % Kappa statistic 0.7199 Mean absolute error 0.1162 Root mean squared error 0.2229 Relative absolute error 47.4317 % Root relative squared error 63.6908 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.656 0.057 0.656 0.656 0.656 0.936 chest 0.72 0.04 0.751 0.72 0.735 0.956 forearm 0.855 0.051 0.737 0.855 0.792 0.972 head 0.841 0.013 0.914 0.841 0.876 0.984 shin 0.787 0.029 0.821 0.787 0.804 0.967 thigh 0.743 0.042 0.748 0.743 0.745 0.955 upperarm 0.716 0.049 0.71 0.716 0.713 0.954 waist Weighted Avg. 0.76 0.04 0.763 0.76 0.76 0.96 === Confusion Matrix === a b c d e f g <-- classified as 624 61 56 8 27 65 110 | a = chest 48 684 95 8 30 39 46 | b = forearm 35 34 815 1 8 36 24 | c = head 23 11 11 801 54 28 24 | d = shin 37 29 24 31 751 41 41 | e = thigh 70 40 63 13 26 707 33 | f = upperarm 114 52 42 14 19 29 682 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 5045 75.7053 % Incorrectly Classified Instances 1619 24.2947 % Kappa statistic 0.7166 Mean absolute error 0.1167 Root mean squared error 0.2242 Relative absolute error 47.6399 % Root relative squared error 64.0692 % Total Number of Instances 6664 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.683 0.058 0.662 0.683 0.673 0.939 chest 0.723 0.041 0.744 0.723 0.734 0.956 forearm 0.806 0.049 0.731 0.806 0.767 0.969 head 0.862 0.018 0.888 0.862 0.875 0.985 shin 0.76 0.027 0.822 0.76 0.79 0.963 thigh 0.746 0.04 0.756 0.746 0.751 0.955 upperarm 0.718 0.049 0.71 0.718 0.714 0.952 waist Weighted Avg. 0.757 0.04 0.759 0.757 0.758 0.96 === Confusion Matrix === a b c d e f g <-- classified as 650 57 56 4 23 60 101 | a = chest 64 687 93 14 29 38 25 | b = forearm 40 65 768 1 3 46 30 | c = head 13 8 12 821 47 15 36 | d = shin 49 17 24 52 725 40 47 | e = thigh 64 42 50 19 27 710 40 | f = upperarm 102 47 47 14 28 30 684 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 5120 76.8423 % Incorrectly Classified Instances 1543 23.1577 % Kappa statistic 0.7298 Mean absolute error 0.1154 Root mean squared error 0.2227 Relative absolute error 47.1174 % Root relative squared error 63.6338 % Total Number of Instances 6663 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.695 0.049 0.704 0.695 0.699 0.943 chest 0.727 0.044 0.734 0.727 0.731 0.953 forearm 0.835 0.048 0.742 0.835 0.786 0.969 head 0.858 0.016 0.9 0.858 0.878 0.984 shin 0.797 0.03 0.815 0.797 0.806 0.97 thigh 0.757 0.041 0.754 0.757 0.756 0.956 upperarm 0.709 0.042 0.738 0.709 0.723 0.954 waist Weighted Avg. 0.768 0.039 0.77 0.768 0.768 0.961 === Confusion Matrix === a b c d e f g <-- classified as 661 54 45 5 27 73 86 | a = chest 50 691 86 8 33 42 40 | b = forearm 21 51 795 2 12 48 23 | c = head 13 12 18 817 47 15 30 | d = shin 35 22 26 41 760 32 38 | e = thigh 57 53 53 15 30 721 23 | f = upperarm 102 58 48 20 24 25 675 | g = waist ------------------------------------------------------------------------------------------------------ SUBJECT: 9 RUN: 0 FOLD: 0 Correctly Classified Instances 5211 85.0776 % Incorrectly Classified Instances 914 14.9224 % Kappa statistic 0.8259 Mean absolute error 0.0785 Root mean squared error 0.1802 Relative absolute error 32.0613 % Root relative squared error 51.4916 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.897 0.029 0.84 0.897 0.868 0.989 chest 0.804 0.029 0.821 0.804 0.813 0.979 forearm 0.891 0.024 0.863 0.891 0.877 0.988 head 0.864 0.017 0.893 0.864 0.878 0.987 shin 0.817 0.024 0.848 0.817 0.832 0.98 thigh 0.85 0.027 0.841 0.85 0.846 0.979 upperarm 0.831 0.024 0.851 0.831 0.841 0.984 waist Weighted Avg. 0.851 0.025 0.851 0.851 0.851 0.984 === Confusion Matrix === a b c d e f g <-- classified as 786 15 12 6 12 27 18 | a = chest 32 702 37 5 13 31 53 | b = forearm 15 27 780 7 15 14 17 | c = head 9 15 14 757 55 12 14 | d = shin 21 19 15 51 714 39 15 | e = thigh 34 28 30 9 20 745 10 | f = upperarm 39 49 16 13 13 18 727 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 5234 85.4531 % Incorrectly Classified Instances 891 14.5469 % Kappa statistic 0.8303 Mean absolute error 0.0774 Root mean squared error 0.1776 Relative absolute error 31.6101 % Root relative squared error 50.7547 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.908 0.026 0.852 0.908 0.879 0.992 chest 0.794 0.028 0.826 0.794 0.81 0.976 forearm 0.907 0.026 0.853 0.907 0.879 0.989 head 0.865 0.017 0.894 0.865 0.879 0.986 shin 0.83 0.023 0.858 0.83 0.844 0.984 thigh 0.85 0.028 0.834 0.85 0.842 0.982 upperarm 0.828 0.021 0.866 0.828 0.846 0.985 waist Weighted Avg. 0.855 0.024 0.855 0.855 0.854 0.985 === Confusion Matrix === a b c d e f g <-- classified as 795 10 11 2 15 24 19 | a = chest 25 693 45 9 19 41 41 | b = forearm 11 25 794 5 10 10 20 | c = head 11 15 21 757 50 11 10 | d = shin 21 12 16 46 725 45 9 | e = thigh 37 32 23 7 19 745 13 | f = upperarm 33 52 21 21 7 17 725 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 5298 86.498 % Incorrectly Classified Instances 827 13.502 % Kappa statistic 0.8425 Mean absolute error 0.0766 Root mean squared error 0.1753 Relative absolute error 31.2916 % Root relative squared error 50.0893 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.894 0.024 0.859 0.894 0.876 0.989 chest 0.828 0.028 0.829 0.828 0.829 0.982 forearm 0.915 0.023 0.869 0.915 0.891 0.991 head 0.853 0.014 0.908 0.853 0.879 0.987 shin 0.838 0.019 0.879 0.838 0.858 0.98 thigh 0.864 0.023 0.864 0.864 0.864 0.985 upperarm 0.863 0.025 0.85 0.863 0.857 0.987 waist Weighted Avg. 0.865 0.023 0.865 0.865 0.865 0.986 === Confusion Matrix === a b c d e f g <-- classified as 783 24 12 3 10 22 22 | a = chest 18 723 32 7 14 27 52 | b = forearm 14 23 801 3 9 14 11 | c = head 11 20 17 746 43 11 27 | d = shin 28 15 18 37 733 36 8 | e = thigh 31 25 24 11 15 756 13 | f = upperarm 26 42 18 15 10 9 756 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 5240 85.551 % Incorrectly Classified Instances 885 14.449 % Kappa statistic 0.8314 Mean absolute error 0.0778 Root mean squared error 0.1775 Relative absolute error 31.7848 % Root relative squared error 50.7298 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.913 0.03 0.836 0.913 0.873 0.992 chest 0.791 0.027 0.828 0.791 0.809 0.978 forearm 0.915 0.025 0.859 0.915 0.886 0.991 head 0.855 0.014 0.911 0.855 0.882 0.987 shin 0.826 0.023 0.856 0.826 0.841 0.983 thigh 0.85 0.024 0.854 0.85 0.852 0.983 upperarm 0.837 0.025 0.848 0.837 0.843 0.985 waist Weighted Avg. 0.856 0.024 0.856 0.856 0.855 0.985 === Confusion Matrix === a b c d e f g <-- classified as 800 18 9 1 12 22 14 | a = chest 28 690 50 2 16 35 51 | b = forearm 8 26 801 2 12 14 12 | c = head 14 10 14 749 54 11 24 | d = shin 23 18 16 46 723 35 14 | e = thigh 43 24 17 15 16 744 16 | f = upperarm 41 47 26 7 12 10 733 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 5233 85.4367 % Incorrectly Classified Instances 892 14.5633 % Kappa statistic 0.8301 Mean absolute error 0.0774 Root mean squared error 0.1783 Relative absolute error 31.6 % Root relative squared error 50.9586 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.893 0.025 0.858 0.893 0.875 0.99 chest 0.8 0.027 0.832 0.8 0.816 0.977 forearm 0.905 0.028 0.844 0.905 0.874 0.99 head 0.854 0.015 0.903 0.854 0.878 0.989 shin 0.837 0.027 0.838 0.837 0.837 0.982 thigh 0.857 0.022 0.867 0.857 0.862 0.984 upperarm 0.834 0.026 0.84 0.834 0.837 0.985 waist Weighted Avg. 0.854 0.024 0.855 0.854 0.854 0.985 === Confusion Matrix === a b c d e f g <-- classified as 782 19 11 2 13 25 24 | a = chest 30 698 57 2 14 23 48 | b = forearm 11 17 792 1 12 19 23 | c = head 5 16 11 748 72 9 15 | d = shin 20 17 16 51 732 25 14 | e = thigh 28 25 27 10 20 750 15 | f = upperarm 35 47 24 14 11 14 731 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 5250 85.7143 % Incorrectly Classified Instances 875 14.2857 % Kappa statistic 0.8333 Mean absolute error 0.0774 Root mean squared error 0.1775 Relative absolute error 31.5897 % Root relative squared error 50.7166 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.894 0.028 0.841 0.894 0.867 0.987 chest 0.806 0.028 0.828 0.806 0.817 0.981 forearm 0.901 0.018 0.891 0.901 0.896 0.991 head 0.861 0.018 0.889 0.861 0.875 0.987 shin 0.829 0.028 0.833 0.829 0.831 0.982 thigh 0.861 0.025 0.851 0.861 0.856 0.983 upperarm 0.849 0.022 0.867 0.849 0.858 0.987 waist Weighted Avg. 0.857 0.024 0.857 0.857 0.857 0.985 === Confusion Matrix === a b c d e f g <-- classified as 784 10 9 3 13 36 22 | a = chest 32 703 32 6 21 33 45 | b = forearm 8 30 788 3 11 15 20 | c = head 8 17 14 754 58 14 11 | d = shin 29 23 11 50 725 29 8 | e = thigh 40 17 12 16 29 753 8 | f = upperarm 31 49 18 16 13 5 743 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 5205 84.9796 % Incorrectly Classified Instances 920 15.0204 % Kappa statistic 0.8248 Mean absolute error 0.0796 Root mean squared error 0.1814 Relative absolute error 32.5166 % Root relative squared error 51.8359 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.902 0.032 0.826 0.902 0.862 0.988 chest 0.795 0.031 0.811 0.795 0.803 0.976 forearm 0.89 0.026 0.849 0.89 0.869 0.988 head 0.864 0.017 0.895 0.864 0.879 0.987 shin 0.802 0.021 0.863 0.802 0.832 0.977 thigh 0.856 0.026 0.847 0.856 0.852 0.983 upperarm 0.839 0.022 0.862 0.839 0.85 0.984 waist Weighted Avg. 0.85 0.025 0.85 0.85 0.85 0.983 === Confusion Matrix === a b c d e f g <-- classified as 791 23 12 5 10 22 14 | a = chest 31 693 43 7 18 37 43 | b = forearm 19 27 779 2 10 23 15 | c = head 13 18 16 757 48 5 19 | d = shin 26 27 16 53 702 34 17 | e = thigh 45 23 22 13 13 749 10 | f = upperarm 33 43 30 9 12 14 734 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 5256 85.8122 % Incorrectly Classified Instances 869 14.1878 % Kappa statistic 0.8345 Mean absolute error 0.0775 Root mean squared error 0.177 Relative absolute error 31.6488 % Root relative squared error 50.5757 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.891 0.031 0.826 0.891 0.857 0.988 chest 0.806 0.025 0.843 0.806 0.824 0.98 forearm 0.913 0.026 0.855 0.913 0.883 0.991 head 0.844 0.015 0.902 0.844 0.872 0.986 shin 0.849 0.021 0.87 0.849 0.859 0.984 thigh 0.864 0.019 0.882 0.864 0.873 0.987 upperarm 0.84 0.028 0.834 0.84 0.837 0.985 waist Weighted Avg. 0.858 0.024 0.859 0.858 0.858 0.986 === Confusion Matrix === a b c d e f g <-- classified as 781 17 16 2 13 22 26 | a = chest 28 703 48 5 11 22 55 | b = forearm 14 25 799 4 8 11 14 | c = head 24 11 15 739 59 7 21 | d = shin 17 13 17 39 743 31 15 | e = thigh 44 23 15 11 11 756 15 | f = upperarm 37 42 25 19 9 8 735 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 5213 85.1102 % Incorrectly Classified Instances 912 14.8898 % Kappa statistic 0.8263 Mean absolute error 0.0794 Root mean squared error 0.1795 Relative absolute error 32.4017 % Root relative squared error 51.2991 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.888 0.03 0.834 0.888 0.86 0.988 chest 0.812 0.029 0.822 0.812 0.817 0.977 forearm 0.898 0.025 0.855 0.898 0.876 0.991 head 0.858 0.018 0.886 0.858 0.872 0.988 shin 0.817 0.023 0.853 0.817 0.835 0.98 thigh 0.856 0.023 0.861 0.856 0.859 0.984 upperarm 0.827 0.025 0.848 0.827 0.837 0.984 waist Weighted Avg. 0.851 0.025 0.851 0.851 0.851 0.985 === Confusion Matrix === a b c d e f g <-- classified as 779 17 18 3 10 27 23 | a = chest 29 708 43 4 12 34 42 | b = forearm 15 30 785 3 9 12 20 | c = head 6 19 10 752 53 12 24 | d = shin 36 14 17 58 715 21 14 | e = thigh 32 26 26 15 20 750 7 | f = upperarm 37 47 19 14 19 15 724 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 5241 85.5673 % Incorrectly Classified Instances 884 14.4327 % Kappa statistic 0.8316 Mean absolute error 0.0775 Root mean squared error 0.1767 Relative absolute error 31.6271 % Root relative squared error 50.4826 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.927 0.029 0.843 0.927 0.883 0.991 chest 0.787 0.027 0.828 0.787 0.807 0.981 forearm 0.894 0.025 0.854 0.894 0.874 0.989 head 0.874 0.018 0.888 0.874 0.881 0.987 shin 0.817 0.023 0.855 0.817 0.836 0.98 thigh 0.833 0.021 0.867 0.833 0.85 0.982 upperarm 0.857 0.024 0.855 0.857 0.856 0.987 waist Weighted Avg. 0.856 0.024 0.856 0.856 0.855 0.985 === Confusion Matrix === a b c d e f g <-- classified as 813 14 5 6 9 21 9 | a = chest 24 686 47 7 21 30 57 | b = forearm 6 37 781 3 11 14 22 | c = head 14 13 12 766 53 3 15 | d = shin 23 10 21 55 715 38 13 | e = thigh 49 24 28 14 20 730 11 | f = upperarm 35 45 20 12 7 6 750 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 1 FOLD: 0 Correctly Classified Instances 5242 85.5837 % Incorrectly Classified Instances 883 14.4163 % Kappa statistic 0.8318 Mean absolute error 0.0775 Root mean squared error 0.178 Relative absolute error 31.656 % Root relative squared error 50.8608 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.897 0.028 0.843 0.897 0.869 0.991 chest 0.795 0.03 0.812 0.795 0.803 0.975 forearm 0.896 0.026 0.852 0.896 0.874 0.99 head 0.868 0.015 0.904 0.868 0.885 0.986 shin 0.84 0.02 0.875 0.84 0.857 0.981 thigh 0.858 0.022 0.865 0.858 0.862 0.983 upperarm 0.837 0.026 0.842 0.837 0.839 0.985 waist Weighted Avg. 0.856 0.024 0.856 0.856 0.856 0.984 === Confusion Matrix === a b c d e f g <-- classified as 787 19 8 4 11 27 21 | a = chest 32 693 50 4 13 34 46 | b = forearm 11 29 784 4 9 15 23 | c = head 8 19 15 760 48 8 18 | d = shin 24 16 18 45 734 23 14 | e = thigh 36 24 20 15 14 752 15 | f = upperarm 36 53 25 9 10 10 732 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 5254 85.7796 % Incorrectly Classified Instances 871 14.2204 % Kappa statistic 0.8341 Mean absolute error 0.0785 Root mean squared error 0.1783 Relative absolute error 32.044 % Root relative squared error 50.9434 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.91 0.027 0.849 0.91 0.878 0.989 chest 0.79 0.032 0.806 0.79 0.798 0.976 forearm 0.89 0.027 0.845 0.89 0.867 0.989 head 0.89 0.016 0.903 0.89 0.897 0.987 shin 0.833 0.016 0.898 0.833 0.864 0.984 thigh 0.855 0.027 0.843 0.855 0.849 0.983 upperarm 0.835 0.022 0.866 0.835 0.85 0.985 waist Weighted Avg. 0.858 0.024 0.858 0.858 0.858 0.985 === Confusion Matrix === a b c d e f g <-- classified as 798 20 13 2 6 22 16 | a = chest 26 689 52 4 10 43 48 | b = forearm 18 35 779 4 8 17 14 | c = head 13 12 18 780 36 6 11 | d = shin 17 12 24 52 728 32 9 | e = thigh 36 33 22 9 12 749 15 | f = upperarm 32 54 14 13 11 20 731 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 5246 85.649 % Incorrectly Classified Instances 879 14.351 % Kappa statistic 0.8326 Mean absolute error 0.0783 Root mean squared error 0.1781 Relative absolute error 31.9911 % Root relative squared error 50.8853 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.895 0.032 0.824 0.895 0.858 0.989 chest 0.817 0.029 0.824 0.817 0.82 0.982 forearm 0.92 0.026 0.857 0.92 0.888 0.99 head 0.86 0.015 0.905 0.86 0.882 0.987 shin 0.833 0.022 0.866 0.833 0.849 0.983 thigh 0.837 0.022 0.864 0.837 0.85 0.982 upperarm 0.834 0.023 0.86 0.834 0.847 0.986 waist Weighted Avg. 0.856 0.024 0.857 0.856 0.856 0.985 === Confusion Matrix === a b c d e f g <-- classified as 784 20 11 3 17 24 17 | a = chest 32 712 41 3 11 27 46 | b = forearm 8 20 805 4 14 9 15 | c = head 18 10 17 753 48 13 17 | d = shin 27 22 14 43 729 31 9 | e = thigh 46 31 25 8 18 733 15 | f = upperarm 36 49 26 18 5 11 730 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 5212 85.0939 % Incorrectly Classified Instances 913 14.9061 % Kappa statistic 0.8261 Mean absolute error 0.0785 Root mean squared error 0.179 Relative absolute error 32.0516 % Root relative squared error 51.1444 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.901 0.029 0.838 0.901 0.868 0.989 chest 0.805 0.032 0.808 0.805 0.806 0.976 forearm 0.902 0.021 0.876 0.902 0.889 0.991 head 0.84 0.016 0.899 0.84 0.868 0.988 shin 0.825 0.022 0.862 0.825 0.843 0.982 thigh 0.853 0.026 0.846 0.853 0.849 0.983 upperarm 0.831 0.028 0.832 0.831 0.831 0.984 waist Weighted Avg. 0.851 0.025 0.851 0.851 0.851 0.985 === Confusion Matrix === a b c d e f g <-- classified as 789 18 9 3 5 25 27 | a = chest 31 702 34 5 10 31 59 | b = forearm 12 31 789 2 7 16 18 | c = head 14 16 12 736 70 9 19 | d = shin 20 27 15 42 722 41 8 | e = thigh 44 19 22 12 16 747 16 | f = upperarm 31 56 20 19 8 14 727 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 5227 85.3388 % Incorrectly Classified Instances 898 14.6612 % Kappa statistic 0.829 Mean absolute error 0.0782 Root mean squared error 0.1787 Relative absolute error 31.9503 % Root relative squared error 51.0756 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.898 0.028 0.843 0.898 0.87 0.989 chest 0.799 0.032 0.805 0.799 0.802 0.977 forearm 0.895 0.023 0.867 0.895 0.881 0.989 head 0.866 0.019 0.886 0.866 0.876 0.988 shin 0.815 0.021 0.866 0.815 0.84 0.982 thigh 0.847 0.024 0.853 0.847 0.85 0.982 upperarm 0.853 0.024 0.856 0.853 0.854 0.985 waist Weighted Avg. 0.853 0.024 0.854 0.853 0.853 0.985 === Confusion Matrix === a b c d e f g <-- classified as 787 19 13 4 7 29 17 | a = chest 33 697 31 4 20 33 54 | b = forearm 11 28 783 6 6 18 23 | c = head 10 21 19 759 45 8 14 | d = shin 31 18 15 59 713 31 8 | e = thigh 34 31 22 16 21 741 10 | f = upperarm 28 52 20 9 11 9 747 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 5294 86.4327 % Incorrectly Classified Instances 831 13.5673 % Kappa statistic 0.8417 Mean absolute error 0.0756 Root mean squared error 0.1751 Relative absolute error 30.8869 % Root relative squared error 50.0434 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.903 0.029 0.84 0.903 0.87 0.99 chest 0.807 0.023 0.855 0.807 0.831 0.981 forearm 0.913 0.023 0.868 0.913 0.89 0.991 head 0.863 0.015 0.905 0.863 0.884 0.987 shin 0.848 0.023 0.862 0.848 0.855 0.98 thigh 0.871 0.023 0.862 0.871 0.866 0.985 upperarm 0.845 0.023 0.861 0.845 0.853 0.987 waist Weighted Avg. 0.864 0.023 0.865 0.864 0.864 0.986 === Confusion Matrix === a b c d e f g <-- classified as 791 12 15 1 15 23 19 | a = chest 26 704 38 3 18 34 49 | b = forearm 11 22 799 2 11 14 16 | c = head 12 16 18 756 47 9 18 | d = shin 25 8 13 50 742 29 8 | e = thigh 41 20 20 7 16 762 9 | f = upperarm 36 41 18 16 12 13 740 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 5230 85.3878 % Incorrectly Classified Instances 895 14.6122 % Kappa statistic 0.8295 Mean absolute error 0.078 Root mean squared error 0.1788 Relative absolute error 31.8299 % Root relative squared error 51.0955 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.876 0.028 0.841 0.876 0.858 0.987 chest 0.822 0.029 0.825 0.822 0.824 0.98 forearm 0.904 0.021 0.877 0.904 0.89 0.99 head 0.864 0.018 0.886 0.864 0.875 0.988 shin 0.818 0.024 0.849 0.818 0.834 0.978 thigh 0.85 0.025 0.851 0.85 0.851 0.983 upperarm 0.842 0.025 0.847 0.842 0.845 0.985 waist Weighted Avg. 0.854 0.024 0.854 0.854 0.854 0.984 === Confusion Matrix === a b c d e f g <-- classified as 767 27 13 5 15 29 20 | a = chest 30 718 33 6 16 22 48 | b = forearm 10 23 791 5 11 18 17 | c = head 10 9 12 756 50 14 24 | d = shin 22 23 15 51 716 32 16 | e = thigh 39 25 17 16 26 744 8 | f = upperarm 34 45 21 14 9 15 738 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 5185 84.6531 % Incorrectly Classified Instances 940 15.3469 % Kappa statistic 0.821 Mean absolute error 0.078 Root mean squared error 0.1794 Relative absolute error 31.8406 % Root relative squared error 51.2586 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.896 0.027 0.848 0.896 0.871 0.989 chest 0.781 0.028 0.821 0.781 0.8 0.978 forearm 0.894 0.028 0.843 0.894 0.868 0.989 head 0.862 0.019 0.884 0.862 0.873 0.988 shin 0.801 0.024 0.847 0.801 0.823 0.979 thigh 0.866 0.026 0.848 0.866 0.857 0.984 upperarm 0.825 0.027 0.835 0.825 0.83 0.983 waist Weighted Avg. 0.847 0.026 0.846 0.847 0.846 0.984 === Confusion Matrix === a b c d e f g <-- classified as 786 21 15 3 9 28 15 | a = chest 20 682 55 4 17 36 59 | b = forearm 14 25 781 4 15 12 23 | c = head 14 18 7 754 57 13 12 | d = shin 22 19 16 60 701 38 19 | e = thigh 35 21 17 10 19 758 15 | f = upperarm 36 45 35 18 10 9 723 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 5246 85.649 % Incorrectly Classified Instances 879 14.351 % Kappa statistic 0.8326 Mean absolute error 0.0771 Root mean squared error 0.1769 Relative absolute error 31.4808 % Root relative squared error 50.5619 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.913 0.025 0.86 0.913 0.886 0.992 chest 0.803 0.027 0.83 0.803 0.816 0.978 forearm 0.908 0.025 0.857 0.908 0.882 0.992 head 0.852 0.017 0.896 0.852 0.873 0.987 shin 0.83 0.024 0.851 0.83 0.84 0.982 thigh 0.842 0.023 0.861 0.842 0.852 0.984 upperarm 0.847 0.027 0.841 0.847 0.844 0.986 waist Weighted Avg. 0.856 0.024 0.857 0.856 0.856 0.986 === Confusion Matrix === a b c d e f g <-- classified as 801 14 8 5 12 16 21 | a = chest 21 701 39 8 13 39 52 | b = forearm 15 25 794 4 11 10 15 | c = head 4 9 20 746 62 11 24 | d = shin 24 16 17 45 726 35 12 | e = thigh 29 28 32 15 18 737 16 | f = upperarm 37 52 16 10 11 8 741 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 5198 84.8653 % Incorrectly Classified Instances 927 15.1347 % Kappa statistic 0.8234 Mean absolute error 0.0791 Root mean squared error 0.1798 Relative absolute error 32.2937 % Root relative squared error 51.3915 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.877 0.028 0.84 0.877 0.858 0.989 chest 0.812 0.03 0.816 0.812 0.814 0.979 forearm 0.897 0.028 0.844 0.897 0.87 0.99 head 0.849 0.016 0.897 0.849 0.873 0.986 shin 0.809 0.025 0.844 0.809 0.826 0.978 thigh 0.864 0.025 0.85 0.864 0.857 0.986 upperarm 0.832 0.024 0.851 0.832 0.842 0.985 waist Weighted Avg. 0.849 0.025 0.849 0.849 0.849 0.985 === Confusion Matrix === a b c d e f g <-- classified as 769 22 17 1 18 30 20 | a = chest 20 708 40 7 17 31 49 | b = forearm 13 26 785 3 13 19 16 | c = head 14 17 19 744 56 6 20 | d = shin 32 14 20 48 708 37 16 | e = thigh 35 24 28 12 14 756 6 | f = upperarm 32 57 21 14 13 10 728 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 2 FOLD: 0 Correctly Classified Instances 5235 85.4694 % Incorrectly Classified Instances 890 14.5306 % Kappa statistic 0.8305 Mean absolute error 0.0769 Root mean squared error 0.1776 Relative absolute error 31.4114 % Root relative squared error 50.759 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.889 0.027 0.848 0.889 0.868 0.989 chest 0.808 0.032 0.808 0.808 0.808 0.977 forearm 0.907 0.028 0.845 0.907 0.875 0.989 head 0.87 0.016 0.902 0.87 0.886 0.986 shin 0.822 0.02 0.873 0.822 0.847 0.984 thigh 0.843 0.024 0.853 0.843 0.848 0.983 upperarm 0.842 0.023 0.857 0.842 0.85 0.987 waist Weighted Avg. 0.855 0.024 0.855 0.855 0.855 0.985 === Confusion Matrix === a b c d e f g <-- classified as 780 18 17 1 17 21 23 | a = chest 29 705 52 2 10 32 42 | b = forearm 12 33 794 2 7 11 16 | c = head 15 17 16 762 38 8 20 | d = shin 20 17 15 49 718 46 9 | e = thigh 34 34 23 13 20 738 13 | f = upperarm 30 48 23 16 12 9 738 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 5230 85.3878 % Incorrectly Classified Instances 895 14.6122 % Kappa statistic 0.8295 Mean absolute error 0.0783 Root mean squared error 0.1782 Relative absolute error 31.9772 % Root relative squared error 50.9276 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.905 0.03 0.837 0.905 0.87 0.991 chest 0.778 0.027 0.828 0.778 0.802 0.975 forearm 0.902 0.027 0.847 0.902 0.874 0.99 head 0.872 0.015 0.907 0.872 0.889 0.989 shin 0.796 0.022 0.856 0.796 0.825 0.979 thigh 0.878 0.027 0.845 0.878 0.861 0.984 upperarm 0.846 0.023 0.86 0.846 0.853 0.985 waist Weighted Avg. 0.854 0.024 0.854 0.854 0.853 0.985 === Confusion Matrix === a b c d e f g <-- classified as 794 17 12 2 9 26 17 | a = chest 30 678 52 8 17 32 55 | b = forearm 15 31 789 2 11 12 15 | c = head 13 12 9 764 56 9 13 | d = shin 25 16 25 53 696 47 12 | e = thigh 33 21 23 7 14 768 9 | f = upperarm 39 44 21 6 10 15 741 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 5207 85.0122 % Incorrectly Classified Instances 918 14.9878 % Kappa statistic 0.8251 Mean absolute error 0.0786 Root mean squared error 0.1797 Relative absolute error 32.0897 % Root relative squared error 51.3467 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.872 0.031 0.823 0.872 0.847 0.986 chest 0.803 0.027 0.832 0.803 0.817 0.98 forearm 0.905 0.027 0.849 0.905 0.876 0.99 head 0.853 0.016 0.899 0.853 0.875 0.986 shin 0.831 0.022 0.861 0.831 0.846 0.98 thigh 0.847 0.028 0.834 0.847 0.84 0.983 upperarm 0.84 0.023 0.858 0.84 0.849 0.986 waist Weighted Avg. 0.85 0.025 0.851 0.85 0.85 0.985 === Confusion Matrix === a b c d e f g <-- classified as 765 22 15 4 11 42 18 | a = chest 31 700 47 4 13 32 45 | b = forearm 8 24 791 1 16 18 16 | c = head 9 19 13 747 53 17 18 | d = shin 25 12 18 51 727 28 14 | e = thigh 46 22 29 12 14 741 11 | f = upperarm 46 42 19 12 10 11 736 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 5197 84.849 % Incorrectly Classified Instances 928 15.151 % Kappa statistic 0.8232 Mean absolute error 0.0789 Root mean squared error 0.18 Relative absolute error 32.2354 % Root relative squared error 51.4255 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.883 0.031 0.825 0.883 0.853 0.988 chest 0.811 0.03 0.816 0.811 0.814 0.979 forearm 0.888 0.022 0.872 0.888 0.88 0.988 head 0.837 0.019 0.882 0.837 0.859 0.984 shin 0.83 0.026 0.84 0.83 0.835 0.983 thigh 0.85 0.022 0.863 0.85 0.857 0.984 upperarm 0.841 0.026 0.843 0.841 0.842 0.984 waist Weighted Avg. 0.848 0.025 0.849 0.848 0.848 0.984 === Confusion Matrix === a b c d e f g <-- classified as 774 17 14 7 17 21 27 | a = chest 29 707 31 4 19 29 53 | b = forearm 15 31 776 9 9 14 20 | c = head 18 17 11 733 66 12 19 | d = shin 24 20 14 54 726 26 11 | e = thigh 52 19 19 14 20 744 7 | f = upperarm 26 55 25 10 7 16 737 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 5288 86.3347 % Incorrectly Classified Instances 837 13.6653 % Kappa statistic 0.8406 Mean absolute error 0.0766 Root mean squared error 0.1752 Relative absolute error 31.2648 % Root relative squared error 50.0559 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.924 0.024 0.867 0.924 0.895 0.992 chest 0.815 0.028 0.831 0.815 0.823 0.981 forearm 0.911 0.024 0.863 0.911 0.887 0.992 head 0.868 0.014 0.915 0.868 0.89 0.988 shin 0.83 0.021 0.868 0.83 0.849 0.983 thigh 0.85 0.026 0.843 0.85 0.846 0.983 upperarm 0.846 0.023 0.858 0.846 0.852 0.985 waist Weighted Avg. 0.863 0.023 0.864 0.863 0.863 0.986 === Confusion Matrix === a b c d e f g <-- classified as 810 12 5 7 8 21 14 | a = chest 24 711 33 2 19 30 53 | b = forearm 7 27 797 4 2 20 18 | c = head 8 15 20 760 49 12 12 | d = shin 24 14 13 38 726 42 18 | e = thigh 36 27 31 10 20 744 7 | f = upperarm 25 50 24 10 12 14 740 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 5239 85.5347 % Incorrectly Classified Instances 886 14.4653 % Kappa statistic 0.8312 Mean absolute error 0.077 Root mean squared error 0.1775 Relative absolute error 31.4619 % Root relative squared error 50.7176 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.898 0.032 0.823 0.898 0.859 0.988 chest 0.814 0.027 0.833 0.814 0.823 0.98 forearm 0.903 0.024 0.862 0.903 0.882 0.991 head 0.872 0.017 0.895 0.872 0.883 0.988 shin 0.81 0.02 0.871 0.81 0.84 0.981 thigh 0.85 0.023 0.859 0.85 0.855 0.984 upperarm 0.839 0.025 0.849 0.839 0.844 0.983 waist Weighted Avg. 0.855 0.024 0.856 0.855 0.855 0.985 === Confusion Matrix === a b c d e f g <-- classified as 787 18 13 1 6 29 22 | a = chest 22 711 46 6 13 28 47 | b = forearm 15 21 790 1 10 18 20 | c = head 13 10 17 764 48 6 18 | d = shin 26 19 22 58 709 30 11 | e = thigh 51 23 13 15 16 744 13 | f = upperarm 42 52 15 9 12 11 734 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 5208 85.0286 % Incorrectly Classified Instances 917 14.9714 % Kappa statistic 0.8253 Mean absolute error 0.0799 Root mean squared error 0.1802 Relative absolute error 32.6132 % Root relative squared error 51.4984 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.9 0.026 0.853 0.9 0.876 0.99 chest 0.778 0.029 0.816 0.778 0.796 0.978 forearm 0.907 0.027 0.847 0.907 0.876 0.99 head 0.872 0.018 0.891 0.872 0.882 0.989 shin 0.822 0.025 0.846 0.822 0.834 0.978 thigh 0.829 0.023 0.855 0.829 0.842 0.982 upperarm 0.845 0.026 0.843 0.845 0.844 0.984 waist Weighted Avg. 0.85 0.025 0.85 0.85 0.85 0.985 === Confusion Matrix === a b c d e f g <-- classified as 788 24 9 1 12 22 20 | a = chest 29 679 59 4 17 37 48 | b = forearm 13 24 794 3 8 11 22 | c = head 7 5 15 763 52 11 22 | d = shin 23 15 21 52 719 30 15 | e = thigh 39 36 21 14 29 726 11 | f = upperarm 25 49 18 19 13 12 739 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 5251 85.7306 % Incorrectly Classified Instances 874 14.2694 % Kappa statistic 0.8335 Mean absolute error 0.0765 Root mean squared error 0.1758 Relative absolute error 31.237 % Root relative squared error 50.2483 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.906 0.028 0.845 0.906 0.874 0.991 chest 0.777 0.028 0.823 0.777 0.799 0.979 forearm 0.911 0.025 0.858 0.911 0.884 0.991 head 0.853 0.013 0.918 0.853 0.884 0.987 shin 0.841 0.025 0.85 0.841 0.845 0.981 thigh 0.862 0.019 0.885 0.862 0.873 0.987 upperarm 0.851 0.03 0.828 0.851 0.839 0.984 waist Weighted Avg. 0.857 0.024 0.858 0.857 0.857 0.986 === Confusion Matrix === a b c d e f g <-- classified as 794 20 10 2 14 17 19 | a = chest 37 678 35 8 22 28 65 | b = forearm 11 24 797 3 10 14 16 | c = head 15 12 17 746 54 7 24 | d = shin 20 18 27 33 736 23 18 | e = thigh 36 26 18 7 21 755 13 | f = upperarm 27 46 25 14 9 9 745 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 5248 85.6816 % Incorrectly Classified Instances 877 14.3184 % Kappa statistic 0.833 Mean absolute error 0.0777 Root mean squared error 0.1774 Relative absolute error 31.7105 % Root relative squared error 50.6945 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.889 0.026 0.85 0.889 0.869 0.989 chest 0.818 0.026 0.839 0.818 0.828 0.981 forearm 0.903 0.021 0.878 0.903 0.89 0.99 head 0.853 0.02 0.876 0.853 0.864 0.988 shin 0.838 0.027 0.837 0.838 0.837 0.98 thigh 0.87 0.023 0.864 0.87 0.867 0.987 upperarm 0.827 0.024 0.854 0.827 0.84 0.985 waist Weighted Avg. 0.857 0.024 0.857 0.857 0.857 0.986 === Confusion Matrix === a b c d e f g <-- classified as 779 12 16 4 21 26 18 | a = chest 29 713 37 6 13 26 48 | b = forearm 19 20 790 8 15 9 14 | c = head 10 17 9 747 61 11 21 | d = shin 17 22 8 52 733 36 7 | e = thigh 30 20 19 12 17 762 16 | f = upperarm 32 46 21 24 16 12 724 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 5217 85.1755 % Incorrectly Classified Instances 908 14.8245 % Kappa statistic 0.827 Mean absolute error 0.0789 Root mean squared error 0.1795 Relative absolute error 32.2173 % Root relative squared error 51.2959 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.896 0.028 0.841 0.896 0.868 0.989 chest 0.807 0.029 0.824 0.807 0.816 0.977 forearm 0.891 0.024 0.86 0.891 0.875 0.99 head 0.84 0.019 0.879 0.84 0.859 0.987 shin 0.83 0.025 0.848 0.83 0.839 0.98 thigh 0.864 0.019 0.883 0.864 0.874 0.984 upperarm 0.833 0.029 0.827 0.833 0.83 0.985 waist Weighted Avg. 0.852 0.025 0.852 0.852 0.852 0.985 === Confusion Matrix === a b c d e f g <-- classified as 785 21 11 4 10 24 21 | a = chest 17 704 43 11 18 26 53 | b = forearm 12 28 780 7 9 11 28 | c = head 17 20 13 736 72 2 16 | d = shin 32 16 8 50 726 30 13 | e = thigh 30 26 23 9 10 757 21 | f = upperarm 40 39 29 20 11 7 729 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 3 FOLD: 0 Correctly Classified Instances 5207 85.0122 % Incorrectly Classified Instances 918 14.9878 % Kappa statistic 0.8251 Mean absolute error 0.0776 Root mean squared error 0.1787 Relative absolute error 31.6987 % Root relative squared error 51.0609 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.881 0.027 0.845 0.881 0.863 0.99 chest 0.81 0.03 0.818 0.81 0.814 0.978 forearm 0.907 0.026 0.853 0.907 0.879 0.991 head 0.854 0.019 0.881 0.854 0.867 0.985 shin 0.801 0.022 0.858 0.801 0.829 0.979 thigh 0.851 0.023 0.858 0.851 0.855 0.982 upperarm 0.846 0.027 0.839 0.846 0.843 0.986 waist Weighted Avg. 0.85 0.025 0.85 0.85 0.85 0.985 === Confusion Matrix === a b c d e f g <-- classified as 773 27 14 2 16 23 22 | a = chest 28 706 42 4 8 33 51 | b = forearm 12 23 794 2 13 13 18 | c = head 15 24 15 747 52 7 15 | d = shin 24 14 19 60 701 37 20 | e = thigh 33 21 26 15 19 745 16 | f = upperarm 30 48 21 18 8 10 741 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 5295 86.449 % Incorrectly Classified Instances 830 13.551 % Kappa statistic 0.8419 Mean absolute error 0.0764 Root mean squared error 0.1748 Relative absolute error 31.1975 % Root relative squared error 49.9671 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.906 0.029 0.841 0.906 0.873 0.99 chest 0.817 0.025 0.845 0.817 0.831 0.982 forearm 0.904 0.022 0.875 0.904 0.889 0.99 head 0.873 0.015 0.905 0.873 0.889 0.989 shin 0.829 0.023 0.857 0.829 0.843 0.983 thigh 0.887 0.024 0.858 0.887 0.872 0.988 upperarm 0.835 0.02 0.872 0.835 0.853 0.987 waist Weighted Avg. 0.864 0.023 0.865 0.864 0.864 0.987 === Confusion Matrix === a b c d e f g <-- classified as 795 23 9 1 7 25 17 | a = chest 39 713 32 4 15 31 39 | b = forearm 10 27 791 2 10 17 18 | c = head 10 8 15 764 56 4 18 | d = shin 20 17 18 52 725 36 7 | e = thigh 31 19 19 4 18 776 8 | f = upperarm 40 37 20 17 15 15 731 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 5234 85.4531 % Incorrectly Classified Instances 891 14.5469 % Kappa statistic 0.8303 Mean absolute error 0.0774 Root mean squared error 0.1779 Relative absolute error 31.5985 % Root relative squared error 50.8398 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.917 0.031 0.831 0.917 0.872 0.991 chest 0.793 0.028 0.825 0.793 0.808 0.975 forearm 0.906 0.024 0.862 0.906 0.883 0.991 head 0.869 0.018 0.891 0.869 0.88 0.988 shin 0.827 0.021 0.87 0.827 0.848 0.984 thigh 0.845 0.024 0.852 0.845 0.848 0.982 upperarm 0.825 0.024 0.852 0.825 0.839 0.985 waist Weighted Avg. 0.855 0.024 0.855 0.855 0.854 0.985 === Confusion Matrix === a b c d e f g <-- classified as 804 14 11 5 6 23 14 | a = chest 32 692 49 7 17 32 44 | b = forearm 13 27 792 3 8 18 13 | c = head 12 8 16 761 47 7 25 | d = shin 21 22 12 51 724 32 13 | e = thigh 52 21 17 11 19 739 16 | f = upperarm 33 55 22 16 11 16 722 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 5245 85.6327 % Incorrectly Classified Instances 880 14.3673 % Kappa statistic 0.8324 Mean absolute error 0.0783 Root mean squared error 0.1785 Relative absolute error 31.9619 % Root relative squared error 51.0108 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.886 0.028 0.839 0.886 0.862 0.988 chest 0.809 0.027 0.832 0.809 0.82 0.979 forearm 0.9 0.027 0.846 0.9 0.873 0.99 head 0.871 0.017 0.898 0.871 0.884 0.989 shin 0.835 0.024 0.854 0.835 0.845 0.981 thigh 0.866 0.022 0.865 0.866 0.866 0.986 upperarm 0.826 0.022 0.863 0.826 0.844 0.985 waist Weighted Avg. 0.856 0.024 0.857 0.856 0.856 0.985 === Confusion Matrix === a b c d e f g <-- classified as 776 19 19 6 13 25 18 | a = chest 31 706 58 2 13 18 45 | b = forearm 15 30 787 0 15 16 11 | c = head 13 8 4 763 57 11 20 | d = shin 16 11 16 54 731 37 10 | e = thigh 42 16 18 15 15 759 11 | f = upperarm 32 59 28 10 12 11 723 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 5211 85.0776 % Incorrectly Classified Instances 914 14.9224 % Kappa statistic 0.8259 Mean absolute error 0.0792 Root mean squared error 0.1802 Relative absolute error 32.3349 % Root relative squared error 51.4867 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.903 0.028 0.844 0.903 0.873 0.989 chest 0.79 0.028 0.826 0.79 0.808 0.978 forearm 0.905 0.026 0.852 0.905 0.878 0.991 head 0.841 0.018 0.887 0.841 0.864 0.985 shin 0.813 0.024 0.847 0.813 0.83 0.978 thigh 0.858 0.024 0.857 0.858 0.858 0.984 upperarm 0.845 0.026 0.843 0.845 0.844 0.985 waist Weighted Avg. 0.851 0.025 0.851 0.851 0.85 0.984 === Confusion Matrix === a b c d e f g <-- classified as 791 17 13 3 12 24 16 | a = chest 27 689 47 6 15 33 55 | b = forearm 11 20 792 4 13 17 18 | c = head 14 23 16 737 57 9 20 | d = shin 29 16 18 57 711 31 13 | e = thigh 29 27 24 9 19 752 16 | f = upperarm 36 42 20 15 12 11 739 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 5238 85.5184 % Incorrectly Classified Instances 887 14.4816 % Kappa statistic 0.831 Mean absolute error 0.0775 Root mean squared error 0.1767 Relative absolute error 31.6297 % Root relative squared error 50.5097 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.896 0.027 0.846 0.896 0.87 0.99 chest 0.819 0.031 0.812 0.819 0.816 0.981 forearm 0.879 0.022 0.867 0.879 0.873 0.988 head 0.871 0.016 0.9 0.871 0.885 0.989 shin 0.821 0.02 0.871 0.821 0.845 0.981 thigh 0.845 0.023 0.861 0.845 0.853 0.982 upperarm 0.856 0.029 0.832 0.856 0.844 0.985 waist Weighted Avg. 0.855 0.024 0.856 0.855 0.855 0.985 === Confusion Matrix === a b c d e f g <-- classified as 785 16 6 5 9 27 28 | a = chest 20 714 26 6 18 29 59 | b = forearm 17 38 769 4 8 13 26 | c = head 8 13 17 763 51 12 12 | d = shin 28 21 17 44 718 30 17 | e = thigh 42 29 30 14 12 740 9 | f = upperarm 28 48 22 12 8 8 749 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 5246 85.649 % Incorrectly Classified Instances 879 14.351 % Kappa statistic 0.8326 Mean absolute error 0.0784 Root mean squared error 0.1786 Relative absolute error 32.0103 % Root relative squared error 51.0292 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.89 0.024 0.862 0.89 0.876 0.989 chest 0.804 0.03 0.817 0.804 0.81 0.979 forearm 0.912 0.028 0.844 0.912 0.876 0.991 head 0.885 0.018 0.889 0.885 0.887 0.988 shin 0.841 0.022 0.867 0.841 0.854 0.981 thigh 0.847 0.023 0.859 0.847 0.853 0.984 upperarm 0.816 0.022 0.859 0.816 0.837 0.984 waist Weighted Avg. 0.856 0.024 0.857 0.856 0.856 0.985 === Confusion Matrix === a b c d e f g <-- classified as 780 14 16 2 14 32 18 | a = chest 24 701 50 6 14 21 56 | b = forearm 9 22 798 6 8 17 15 | c = head 6 13 14 775 45 11 12 | d = shin 19 15 18 47 736 32 8 | e = thigh 36 27 24 17 22 742 8 | f = upperarm 31 66 26 19 10 9 714 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 5201 84.9143 % Incorrectly Classified Instances 924 15.0857 % Kappa statistic 0.824 Mean absolute error 0.0785 Root mean squared error 0.1796 Relative absolute error 32.0629 % Root relative squared error 51.3306 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.897 0.03 0.832 0.897 0.863 0.989 chest 0.799 0.031 0.811 0.799 0.805 0.979 forearm 0.882 0.025 0.857 0.882 0.869 0.99 head 0.855 0.016 0.898 0.855 0.876 0.987 shin 0.83 0.024 0.85 0.83 0.84 0.979 thigh 0.827 0.022 0.861 0.827 0.844 0.981 upperarm 0.853 0.027 0.838 0.853 0.846 0.986 waist Weighted Avg. 0.849 0.025 0.85 0.849 0.849 0.984 === Confusion Matrix === a b c d e f g <-- classified as 786 22 13 3 7 25 20 | a = chest 30 697 31 8 22 34 50 | b = forearm 18 31 772 4 15 14 21 | c = head 7 13 21 749 56 7 23 | d = shin 25 15 21 49 726 26 13 | e = thigh 51 31 24 8 20 724 17 | f = upperarm 28 50 19 13 8 11 747 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 5246 85.649 % Incorrectly Classified Instances 879 14.351 % Kappa statistic 0.8326 Mean absolute error 0.0789 Root mean squared error 0.1796 Relative absolute error 32.1985 % Root relative squared error 51.3335 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.903 0.026 0.852 0.903 0.877 0.99 chest 0.799 0.027 0.829 0.799 0.814 0.978 forearm 0.901 0.023 0.868 0.901 0.884 0.99 head 0.869 0.017 0.897 0.869 0.883 0.987 shin 0.826 0.023 0.856 0.826 0.841 0.981 thigh 0.845 0.026 0.846 0.845 0.845 0.982 upperarm 0.853 0.026 0.848 0.853 0.85 0.985 waist Weighted Avg. 0.856 0.024 0.857 0.856 0.856 0.985 === Confusion Matrix === a b c d e f g <-- classified as 792 19 8 6 12 19 21 | a = chest 20 697 43 6 19 38 49 | b = forearm 9 29 788 5 9 16 19 | c = head 10 18 12 761 46 10 19 | d = shin 24 18 18 38 722 39 15 | e = thigh 39 24 25 16 21 739 11 | f = upperarm 36 36 14 16 14 13 747 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 5246 85.649 % Incorrectly Classified Instances 879 14.351 % Kappa statistic 0.8326 Mean absolute error 0.0771 Root mean squared error 0.1769 Relative absolute error 31.5023 % Root relative squared error 50.5608 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.906 0.029 0.84 0.906 0.872 0.989 chest 0.807 0.028 0.827 0.807 0.817 0.979 forearm 0.903 0.024 0.863 0.903 0.883 0.991 head 0.838 0.014 0.906 0.838 0.871 0.984 shin 0.848 0.025 0.849 0.848 0.848 0.984 thigh 0.855 0.025 0.853 0.855 0.854 0.985 upperarm 0.838 0.023 0.86 0.838 0.849 0.986 waist Weighted Avg. 0.856 0.024 0.857 0.856 0.856 0.985 === Confusion Matrix === a b c d e f g <-- classified as 795 16 9 2 15 25 15 | a = chest 24 704 36 6 17 37 48 | b = forearm 9 23 790 1 14 18 20 | c = head 19 21 15 734 58 12 17 | d = shin 22 15 17 46 741 26 7 | e = thigh 39 23 24 8 21 748 12 | f = upperarm 38 49 24 13 7 11 734 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 4 FOLD: 0 Correctly Classified Instances 5272 86.0735 % Incorrectly Classified Instances 853 13.9265 % Kappa statistic 0.8375 Mean absolute error 0.0774 Root mean squared error 0.1761 Relative absolute error 31.6236 % Root relative squared error 50.3189 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.909 0.03 0.835 0.909 0.871 0.989 chest 0.806 0.026 0.838 0.806 0.822 0.979 forearm 0.911 0.025 0.858 0.911 0.883 0.991 head 0.857 0.014 0.91 0.857 0.883 0.987 shin 0.834 0.022 0.861 0.834 0.847 0.981 thigh 0.865 0.022 0.87 0.865 0.868 0.986 upperarm 0.842 0.023 0.857 0.842 0.85 0.987 waist Weighted Avg. 0.861 0.023 0.861 0.861 0.861 0.986 === Confusion Matrix === a b c d e f g <-- classified as 797 13 10 3 15 18 21 | a = chest 29 703 39 4 15 35 47 | b = forearm 15 24 796 2 12 15 10 | c = head 9 15 20 751 52 8 21 | d = shin 28 14 21 45 730 25 12 | e = thigh 32 24 25 9 16 758 12 | f = upperarm 44 46 17 11 8 12 737 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 5227 85.3388 % Incorrectly Classified Instances 898 14.6612 % Kappa statistic 0.829 Mean absolute error 0.0785 Root mean squared error 0.1791 Relative absolute error 32.0419 % Root relative squared error 51.1754 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.883 0.026 0.849 0.883 0.865 0.989 chest 0.821 0.032 0.811 0.821 0.816 0.98 forearm 0.906 0.026 0.852 0.906 0.878 0.99 head 0.848 0.015 0.902 0.848 0.874 0.986 shin 0.821 0.023 0.858 0.821 0.839 0.98 thigh 0.87 0.022 0.867 0.87 0.868 0.987 upperarm 0.825 0.026 0.84 0.825 0.832 0.983 waist Weighted Avg. 0.853 0.024 0.854 0.853 0.853 0.985 === Confusion Matrix === a b c d e f g <-- classified as 774 22 21 5 9 22 24 | a = chest 29 717 39 5 16 20 47 | b = forearm 11 25 792 4 13 11 18 | c = head 10 24 16 742 52 14 17 | d = shin 18 19 16 47 718 36 21 | e = thigh 34 24 19 7 19 762 11 | f = upperarm 36 53 27 13 10 14 722 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 5206 84.9959 % Incorrectly Classified Instances 919 15.0041 % Kappa statistic 0.825 Mean absolute error 0.0785 Root mean squared error 0.1792 Relative absolute error 32.0549 % Root relative squared error 51.2071 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.903 0.031 0.831 0.903 0.866 0.989 chest 0.779 0.029 0.818 0.779 0.798 0.978 forearm 0.893 0.025 0.858 0.893 0.875 0.989 head 0.865 0.02 0.877 0.865 0.871 0.987 shin 0.837 0.022 0.862 0.837 0.849 0.981 thigh 0.859 0.024 0.856 0.859 0.857 0.983 upperarm 0.814 0.024 0.848 0.814 0.83 0.982 waist Weighted Avg. 0.85 0.025 0.85 0.85 0.85 0.984 === Confusion Matrix === a b c d e f g <-- classified as 792 26 12 4 9 21 13 | a = chest 25 680 37 9 23 44 55 | b = forearm 17 25 781 5 11 18 18 | c = head 8 21 12 757 55 8 14 | d = shin 21 16 21 50 732 23 12 | e = thigh 42 16 21 16 12 752 16 | f = upperarm 48 47 26 22 7 13 712 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 5231 85.4041 % Incorrectly Classified Instances 894 14.5959 % Kappa statistic 0.8297 Mean absolute error 0.0775 Root mean squared error 0.1777 Relative absolute error 31.6472 % Root relative squared error 50.7791 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.908 0.027 0.85 0.908 0.878 0.99 chest 0.812 0.029 0.822 0.812 0.817 0.979 forearm 0.901 0.028 0.844 0.901 0.871 0.991 head 0.84 0.015 0.901 0.84 0.869 0.987 shin 0.823 0.023 0.857 0.823 0.839 0.982 thigh 0.847 0.025 0.85 0.847 0.848 0.984 upperarm 0.848 0.023 0.86 0.848 0.854 0.986 waist Weighted Avg. 0.854 0.024 0.855 0.854 0.854 0.986 === Confusion Matrix === a b c d e f g <-- classified as 796 10 13 2 9 25 22 | a = chest 25 709 45 8 8 37 41 | b = forearm 9 31 788 3 13 18 13 | c = head 8 18 21 736 65 6 22 | d = shin 25 19 20 51 719 32 8 | e = thigh 44 22 32 7 14 741 15 | f = upperarm 30 54 15 10 11 13 742 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 5213 85.1102 % Incorrectly Classified Instances 912 14.8898 % Kappa statistic 0.8263 Mean absolute error 0.0783 Root mean squared error 0.1789 Relative absolute error 31.9667 % Root relative squared error 51.1272 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.901 0.028 0.842 0.901 0.871 0.989 chest 0.792 0.029 0.821 0.792 0.806 0.98 forearm 0.898 0.025 0.858 0.898 0.878 0.99 head 0.872 0.018 0.893 0.872 0.882 0.988 shin 0.814 0.02 0.873 0.814 0.842 0.984 thigh 0.858 0.028 0.835 0.858 0.847 0.982 upperarm 0.822 0.027 0.837 0.822 0.829 0.983 waist Weighted Avg. 0.851 0.025 0.851 0.851 0.851 0.985 === Confusion Matrix === a b c d e f g <-- classified as 790 21 13 2 8 28 15 | a = chest 26 691 50 5 11 35 54 | b = forearm 7 26 786 0 13 19 24 | c = head 11 14 16 764 44 10 17 | d = shin 22 15 9 57 711 41 19 | e = thigh 37 28 20 11 17 751 11 | f = upperarm 45 47 22 17 10 15 720 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 5237 85.502 % Incorrectly Classified Instances 888 14.498 % Kappa statistic 0.8309 Mean absolute error 0.0779 Root mean squared error 0.1784 Relative absolute error 31.7924 % Root relative squared error 50.9795 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.892 0.028 0.843 0.892 0.867 0.989 chest 0.815 0.031 0.814 0.815 0.814 0.979 forearm 0.906 0.026 0.854 0.906 0.879 0.99 head 0.857 0.015 0.907 0.857 0.881 0.987 shin 0.837 0.024 0.854 0.837 0.845 0.979 thigh 0.822 0.022 0.859 0.822 0.84 0.983 upperarm 0.856 0.024 0.858 0.856 0.857 0.986 waist Weighted Avg. 0.855 0.024 0.856 0.855 0.855 0.985 === Confusion Matrix === a b c d e f g <-- classified as 781 23 11 4 15 20 22 | a = chest 29 711 39 6 15 25 47 | b = forearm 9 25 793 2 14 15 17 | c = head 12 17 19 751 52 9 16 | d = shin 19 20 17 35 732 40 12 | e = thigh 45 42 26 15 18 719 10 | f = upperarm 31 36 24 15 11 9 750 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 5248 85.6816 % Incorrectly Classified Instances 877 14.3184 % Kappa statistic 0.833 Mean absolute error 0.0771 Root mean squared error 0.1775 Relative absolute error 31.4684 % Root relative squared error 50.727 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.912 0.029 0.839 0.912 0.874 0.991 chest 0.786 0.026 0.834 0.786 0.809 0.976 forearm 0.893 0.024 0.859 0.893 0.876 0.989 head 0.865 0.014 0.91 0.865 0.887 0.989 shin 0.819 0.022 0.859 0.819 0.839 0.979 thigh 0.849 0.025 0.848 0.849 0.849 0.983 upperarm 0.873 0.026 0.851 0.873 0.862 0.988 waist Weighted Avg. 0.857 0.024 0.857 0.857 0.856 0.985 === Confusion Matrix === a b c d e f g <-- classified as 799 14 9 1 13 22 18 | a = chest 35 685 51 5 14 36 46 | b = forearm 20 26 781 5 9 15 19 | c = head 10 13 12 758 49 11 23 | d = shin 22 29 20 36 717 38 13 | e = thigh 39 18 28 15 17 743 15 | f = upperarm 27 36 8 13 16 11 765 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 5205 84.9796 % Incorrectly Classified Instances 920 15.0204 % Kappa statistic 0.8248 Mean absolute error 0.0789 Root mean squared error 0.1799 Relative absolute error 32.2082 % Root relative squared error 51.3982 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.881 0.028 0.838 0.881 0.859 0.988 chest 0.767 0.027 0.826 0.767 0.795 0.975 forearm 0.913 0.026 0.856 0.913 0.884 0.989 head 0.852 0.019 0.88 0.852 0.865 0.986 shin 0.823 0.024 0.853 0.823 0.838 0.98 thigh 0.854 0.023 0.861 0.854 0.857 0.983 upperarm 0.858 0.028 0.835 0.858 0.846 0.986 waist Weighted Avg. 0.85 0.025 0.85 0.85 0.849 0.984 === Confusion Matrix === a b c d e f g <-- classified as 772 16 10 2 13 34 29 | a = chest 32 669 46 9 16 37 63 | b = forearm 14 25 799 7 10 7 13 | c = head 15 13 14 746 61 13 14 | d = shin 23 21 18 54 720 22 17 | e = thigh 42 22 22 14 15 747 13 | f = upperarm 23 44 24 16 9 8 752 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 5238 85.5184 % Incorrectly Classified Instances 887 14.4816 % Kappa statistic 0.831 Mean absolute error 0.077 Root mean squared error 0.1774 Relative absolute error 31.4547 % Root relative squared error 50.6975 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.877 0.026 0.849 0.877 0.862 0.987 chest 0.831 0.029 0.827 0.831 0.829 0.981 forearm 0.907 0.02 0.881 0.907 0.894 0.991 head 0.862 0.016 0.901 0.862 0.881 0.988 shin 0.827 0.025 0.845 0.827 0.836 0.983 thigh 0.856 0.027 0.84 0.856 0.848 0.983 upperarm 0.825 0.025 0.845 0.825 0.835 0.984 waist Weighted Avg. 0.855 0.024 0.855 0.855 0.855 0.985 === Confusion Matrix === a b c d e f g <-- classified as 768 23 9 2 20 31 23 | a = chest 26 725 29 5 8 42 37 | b = forearm 12 27 794 0 13 14 15 | c = head 9 7 13 755 60 10 22 | d = shin 22 14 19 46 724 32 18 | e = thigh 38 26 16 12 17 750 17 | f = upperarm 30 55 21 18 15 14 722 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 5267 85.9918 % Incorrectly Classified Instances 858 14.0082 % Kappa statistic 0.8366 Mean absolute error 0.0773 Root mean squared error 0.1759 Relative absolute error 31.5604 % Root relative squared error 50.2666 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.908 0.028 0.844 0.908 0.875 0.99 chest 0.802 0.026 0.836 0.802 0.819 0.982 forearm 0.913 0.024 0.865 0.913 0.888 0.991 head 0.857 0.015 0.903 0.857 0.879 0.988 shin 0.841 0.022 0.865 0.841 0.853 0.984 thigh 0.856 0.023 0.859 0.856 0.858 0.986 upperarm 0.842 0.025 0.85 0.842 0.846 0.984 waist Weighted Avg. 0.86 0.023 0.86 0.86 0.86 0.987 === Confusion Matrix === a b c d e f g <-- classified as 795 14 8 6 7 27 19 | a = chest 25 699 42 5 20 32 49 | b = forearm 11 24 799 2 6 13 20 | c = head 14 13 11 751 54 11 22 | d = shin 28 11 11 44 736 33 12 | e = thigh 35 26 25 13 19 750 8 | f = upperarm 34 49 28 11 9 7 737 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 5 FOLD: 0 Correctly Classified Instances 5217 85.1755 % Incorrectly Classified Instances 908 14.8245 % Kappa statistic 0.827 Mean absolute error 0.0776 Root mean squared error 0.1782 Relative absolute error 31.6939 % Root relative squared error 50.9253 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.908 0.033 0.821 0.908 0.862 0.991 chest 0.793 0.029 0.821 0.793 0.807 0.977 forearm 0.886 0.024 0.859 0.886 0.872 0.988 head 0.864 0.019 0.882 0.864 0.873 0.989 shin 0.825 0.02 0.874 0.825 0.849 0.984 thigh 0.847 0.025 0.85 0.847 0.848 0.983 upperarm 0.84 0.023 0.859 0.84 0.849 0.986 waist Weighted Avg. 0.852 0.025 0.852 0.852 0.852 0.985 === Confusion Matrix === a b c d e f g <-- classified as 795 18 7 1 6 29 20 | a = chest 30 692 50 8 14 38 41 | b = forearm 20 27 775 5 13 15 20 | c = head 19 10 21 757 48 5 16 | d = shin 23 16 13 55 722 36 10 | e = thigh 42 32 19 14 13 741 14 | f = upperarm 39 48 17 18 10 8 735 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 5215 85.1429 % Incorrectly Classified Instances 910 14.8571 % Kappa statistic 0.8267 Mean absolute error 0.0778 Root mean squared error 0.1785 Relative absolute error 31.7663 % Root relative squared error 51.0107 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.905 0.025 0.856 0.905 0.88 0.99 chest 0.819 0.03 0.817 0.819 0.818 0.979 forearm 0.896 0.026 0.853 0.896 0.874 0.991 head 0.839 0.02 0.875 0.839 0.857 0.984 shin 0.826 0.024 0.853 0.826 0.839 0.982 thigh 0.845 0.023 0.86 0.845 0.852 0.984 upperarm 0.83 0.025 0.846 0.83 0.838 0.983 waist Weighted Avg. 0.851 0.025 0.852 0.851 0.851 0.985 === Confusion Matrix === a b c d e f g <-- classified as 793 19 11 5 4 27 17 | a = chest 27 714 40 7 17 25 42 | b = forearm 10 28 784 6 7 20 20 | c = head 15 17 16 735 58 10 25 | d = shin 17 16 19 62 723 26 12 | e = thigh 29 30 28 9 24 739 16 | f = upperarm 35 50 21 16 15 12 727 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 5233 85.4367 % Incorrectly Classified Instances 892 14.5633 % Kappa statistic 0.8301 Mean absolute error 0.0775 Root mean squared error 0.1767 Relative absolute error 31.641 % Root relative squared error 50.5041 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.887 0.024 0.86 0.887 0.873 0.99 chest 0.8 0.029 0.822 0.8 0.811 0.978 forearm 0.882 0.024 0.858 0.882 0.87 0.989 head 0.865 0.017 0.895 0.865 0.88 0.989 shin 0.835 0.025 0.85 0.835 0.843 0.981 thigh 0.854 0.025 0.853 0.854 0.853 0.986 upperarm 0.856 0.026 0.844 0.856 0.85 0.988 waist Weighted Avg. 0.854 0.024 0.854 0.854 0.854 0.986 === Confusion Matrix === a b c d e f g <-- classified as 777 15 17 5 14 26 22 | a = chest 28 698 34 7 20 30 55 | b = forearm 15 32 772 8 11 15 22 | c = head 8 17 11 758 54 9 19 | d = shin 23 16 21 36 731 37 11 | e = thigh 34 22 28 12 22 747 10 | f = upperarm 19 49 17 21 8 12 750 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 5272 86.0735 % Incorrectly Classified Instances 853 13.9265 % Kappa statistic 0.8375 Mean absolute error 0.0773 Root mean squared error 0.1764 Relative absolute error 31.5642 % Root relative squared error 50.4003 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.899 0.028 0.841 0.899 0.869 0.988 chest 0.796 0.024 0.846 0.796 0.82 0.98 forearm 0.91 0.025 0.859 0.91 0.883 0.989 head 0.869 0.015 0.905 0.869 0.886 0.988 shin 0.858 0.026 0.845 0.858 0.851 0.986 thigh 0.855 0.021 0.87 0.855 0.862 0.985 upperarm 0.839 0.022 0.863 0.839 0.851 0.985 waist Weighted Avg. 0.861 0.023 0.861 0.861 0.86 0.986 === Confusion Matrix === a b c d e f g <-- classified as 788 17 14 3 17 26 12 | a = chest 26 694 45 5 19 31 52 | b = forearm 11 22 795 2 13 13 18 | c = head 13 10 13 761 56 6 17 | d = shin 18 16 10 44 751 29 7 | e = thigh 40 19 23 10 24 748 11 | f = upperarm 41 42 26 16 9 7 735 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 5268 86.0082 % Incorrectly Classified Instances 857 13.9918 % Kappa statistic 0.8368 Mean absolute error 0.0776 Root mean squared error 0.1765 Relative absolute error 31.6749 % Root relative squared error 50.444 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.891 0.023 0.867 0.891 0.879 0.99 chest 0.776 0.025 0.838 0.776 0.806 0.979 forearm 0.908 0.023 0.868 0.908 0.888 0.99 head 0.874 0.014 0.91 0.874 0.892 0.99 shin 0.834 0.023 0.856 0.834 0.845 0.981 thigh 0.88 0.026 0.849 0.88 0.864 0.988 upperarm 0.856 0.028 0.834 0.856 0.845 0.984 waist Weighted Avg. 0.86 0.023 0.86 0.86 0.86 0.986 === Confusion Matrix === a b c d e f g <-- classified as 781 13 11 6 13 29 24 | a = chest 24 677 41 5 23 33 69 | b = forearm 6 22 794 4 13 20 15 | c = head 10 11 11 766 53 7 18 | d = shin 24 16 14 43 730 38 10 | e = thigh 31 23 19 6 13 770 13 | f = upperarm 25 46 25 12 8 10 750 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 5210 85.0612 % Incorrectly Classified Instances 915 14.9388 % Kappa statistic 0.8257 Mean absolute error 0.0784 Root mean squared error 0.1801 Relative absolute error 32.0297 % Root relative squared error 51.4549 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.888 0.03 0.834 0.888 0.86 0.989 chest 0.805 0.028 0.825 0.805 0.815 0.978 forearm 0.911 0.023 0.868 0.911 0.889 0.99 head 0.865 0.018 0.89 0.865 0.877 0.987 shin 0.801 0.024 0.85 0.801 0.825 0.978 thigh 0.835 0.029 0.828 0.835 0.832 0.981 upperarm 0.848 0.023 0.861 0.848 0.854 0.985 waist Weighted Avg. 0.851 0.025 0.851 0.851 0.85 0.984 === Confusion Matrix === a b c d e f g <-- classified as 779 20 12 4 11 31 20 | a = chest 23 702 41 8 14 39 45 | b = forearm 9 27 797 3 11 19 9 | c = head 13 15 10 758 53 14 13 | d = shin 29 19 15 60 701 34 17 | e = thigh 42 26 25 14 21 731 16 | f = upperarm 39 42 18 5 14 15 742 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 5235 85.4694 % Incorrectly Classified Instances 890 14.5306 % Kappa statistic 0.8305 Mean absolute error 0.0779 Root mean squared error 0.178 Relative absolute error 31.8065 % Root relative squared error 50.8715 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.893 0.027 0.846 0.893 0.869 0.989 chest 0.782 0.029 0.819 0.782 0.8 0.975 forearm 0.913 0.026 0.854 0.913 0.882 0.99 head 0.865 0.016 0.899 0.865 0.882 0.987 shin 0.838 0.024 0.853 0.838 0.845 0.981 thigh 0.855 0.027 0.843 0.855 0.849 0.982 upperarm 0.837 0.021 0.87 0.837 0.853 0.987 waist Weighted Avg. 0.855 0.024 0.855 0.855 0.854 0.984 === Confusion Matrix === a b c d e f g <-- classified as 783 10 25 4 15 26 14 | a = chest 34 682 49 3 14 45 45 | b = forearm 9 32 799 1 8 9 17 | c = head 7 20 14 757 50 13 14 | d = shin 16 16 20 48 733 37 5 | e = thigh 41 23 9 14 26 749 14 | f = upperarm 35 50 20 15 13 10 732 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 5198 84.8653 % Incorrectly Classified Instances 927 15.1347 % Kappa statistic 0.8234 Mean absolute error 0.08 Root mean squared error 0.1816 Relative absolute error 32.6871 % Root relative squared error 51.8907 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.884 0.028 0.839 0.884 0.861 0.987 chest 0.819 0.028 0.829 0.819 0.824 0.978 forearm 0.91 0.027 0.849 0.91 0.878 0.991 head 0.854 0.016 0.899 0.854 0.876 0.988 shin 0.808 0.023 0.853 0.808 0.83 0.98 thigh 0.846 0.026 0.847 0.846 0.846 0.981 upperarm 0.821 0.028 0.828 0.821 0.824 0.982 waist Weighted Avg. 0.849 0.025 0.849 0.849 0.848 0.984 === Confusion Matrix === a b c d e f g <-- classified as 775 23 11 2 15 28 23 | a = chest 25 714 37 5 12 22 57 | b = forearm 10 30 796 0 12 14 13 | c = head 9 11 18 747 59 7 24 | d = shin 27 13 13 50 707 43 22 | e = thigh 36 29 36 10 14 741 10 | f = upperarm 42 41 27 17 10 20 718 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 5241 85.5673 % Incorrectly Classified Instances 884 14.4327 % Kappa statistic 0.8316 Mean absolute error 0.0772 Root mean squared error 0.1778 Relative absolute error 31.5366 % Root relative squared error 50.7963 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.892 0.028 0.84 0.892 0.865 0.988 chest 0.821 0.03 0.818 0.821 0.819 0.979 forearm 0.899 0.024 0.864 0.899 0.881 0.991 head 0.85 0.016 0.901 0.85 0.875 0.986 shin 0.832 0.023 0.857 0.832 0.844 0.981 thigh 0.862 0.025 0.854 0.862 0.858 0.985 upperarm 0.833 0.023 0.86 0.833 0.846 0.985 waist Weighted Avg. 0.856 0.024 0.856 0.856 0.856 0.985 === Confusion Matrix === a b c d e f g <-- classified as 781 28 8 4 12 23 20 | a = chest 31 717 36 1 12 35 41 | b = forearm 15 23 787 6 9 13 22 | c = head 14 11 17 745 53 16 20 | d = shin 20 26 20 39 727 34 8 | e = thigh 32 22 20 17 22 755 8 | f = upperarm 37 50 23 15 13 8 729 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 5264 85.9429 % Incorrectly Classified Instances 861 14.0571 % Kappa statistic 0.836 Mean absolute error 0.0782 Root mean squared error 0.1788 Relative absolute error 31.9339 % Root relative squared error 51.0845 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.908 0.028 0.844 0.908 0.875 0.99 chest 0.795 0.024 0.847 0.795 0.82 0.98 forearm 0.903 0.025 0.859 0.903 0.88 0.989 head 0.879 0.012 0.923 0.879 0.901 0.99 shin 0.824 0.023 0.857 0.824 0.84 0.977 thigh 0.845 0.025 0.851 0.845 0.848 0.981 upperarm 0.863 0.028 0.839 0.863 0.851 0.984 waist Weighted Avg. 0.859 0.023 0.86 0.859 0.859 0.985 === Confusion Matrix === a b c d e f g <-- classified as 795 17 7 0 13 20 24 | a = chest 29 694 40 4 18 32 56 | b = forearm 12 20 790 2 11 22 18 | c = head 8 12 15 770 50 10 11 | d = shin 29 18 21 37 720 28 21 | e = thigh 44 24 23 9 21 740 15 | f = upperarm 25 34 24 12 7 18 755 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 6 FOLD: 0 Correctly Classified Instances 5235 85.4694 % Incorrectly Classified Instances 890 14.5306 % Kappa statistic 0.8305 Mean absolute error 0.0785 Root mean squared error 0.1787 Relative absolute error 32.0457 % Root relative squared error 51.0758 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.892 0.027 0.846 0.892 0.868 0.99 chest 0.784 0.026 0.835 0.784 0.809 0.978 forearm 0.897 0.026 0.849 0.897 0.873 0.99 head 0.853 0.017 0.891 0.853 0.871 0.985 shin 0.833 0.022 0.862 0.833 0.847 0.982 thigh 0.86 0.024 0.859 0.86 0.859 0.985 upperarm 0.865 0.027 0.842 0.865 0.854 0.985 waist Weighted Avg. 0.855 0.024 0.855 0.855 0.854 0.985 === Confusion Matrix === a b c d e f g <-- classified as 781 17 9 3 16 26 24 | a = chest 39 684 46 9 11 34 50 | b = forearm 17 25 784 3 12 15 18 | c = head 13 9 16 746 54 11 26 | d = shin 21 13 19 54 729 24 15 | e = thigh 33 27 28 11 15 753 9 | f = upperarm 19 44 21 11 9 14 758 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 5290 86.3673 % Incorrectly Classified Instances 835 13.6327 % Kappa statistic 0.841 Mean absolute error 0.0773 Root mean squared error 0.1762 Relative absolute error 31.5518 % Root relative squared error 50.3604 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.912 0.029 0.84 0.912 0.875 0.99 chest 0.825 0.027 0.836 0.825 0.83 0.98 forearm 0.927 0.022 0.875 0.927 0.9 0.991 head 0.862 0.017 0.894 0.862 0.878 0.988 shin 0.811 0.022 0.859 0.811 0.835 0.982 thigh 0.846 0.021 0.873 0.846 0.859 0.984 upperarm 0.863 0.022 0.87 0.863 0.866 0.987 waist Weighted Avg. 0.864 0.023 0.864 0.864 0.863 0.986 === Confusion Matrix === a b c d e f g <-- classified as 799 13 5 5 13 20 21 | a = chest 29 720 35 3 12 34 40 | b = forearm 12 28 811 2 6 6 10 | c = head 11 11 14 754 59 6 20 | d = shin 27 23 15 57 709 32 11 | e = thigh 46 26 23 10 19 741 11 | f = upperarm 27 40 24 12 7 10 756 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 5253 85.7633 % Incorrectly Classified Instances 872 14.2367 % Kappa statistic 0.8339 Mean absolute error 0.0774 Root mean squared error 0.1771 Relative absolute error 31.6093 % Root relative squared error 50.6041 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.901 0.025 0.859 0.901 0.88 0.989 chest 0.823 0.028 0.828 0.823 0.826 0.981 forearm 0.922 0.025 0.859 0.922 0.889 0.991 head 0.855 0.016 0.9 0.855 0.877 0.989 shin 0.816 0.022 0.861 0.816 0.838 0.982 thigh 0.863 0.026 0.845 0.863 0.854 0.984 upperarm 0.823 0.024 0.853 0.823 0.838 0.983 waist Weighted Avg. 0.858 0.024 0.858 0.858 0.857 0.986 === Confusion Matrix === a b c d e f g <-- classified as 789 15 14 1 13 27 17 | a = chest 15 718 36 6 17 29 51 | b = forearm 11 22 807 2 8 14 11 | c = head 14 15 16 749 51 14 17 | d = shin 25 16 16 51 713 35 18 | e = thigh 31 25 27 12 15 756 10 | f = upperarm 33 56 24 11 11 20 721 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 5256 85.8122 % Incorrectly Classified Instances 869 14.1878 % Kappa statistic 0.8345 Mean absolute error 0.0774 Root mean squared error 0.1772 Relative absolute error 31.6151 % Root relative squared error 50.6251 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.9 0.028 0.843 0.9 0.87 0.988 chest 0.806 0.027 0.832 0.806 0.819 0.979 forearm 0.894 0.023 0.864 0.894 0.879 0.991 head 0.876 0.017 0.898 0.876 0.887 0.989 shin 0.826 0.019 0.876 0.826 0.851 0.984 thigh 0.858 0.026 0.844 0.858 0.851 0.984 upperarm 0.847 0.025 0.852 0.847 0.849 0.984 waist Weighted Avg. 0.858 0.024 0.858 0.858 0.858 0.986 === Confusion Matrix === a b c d e f g <-- classified as 788 16 16 3 10 28 15 | a = chest 34 703 36 4 14 33 48 | b = forearm 9 34 782 8 11 12 19 | c = head 11 13 17 767 41 10 17 | d = shin 28 9 18 43 723 42 12 | e = thigh 35 26 14 14 17 752 18 | f = upperarm 30 44 22 15 9 14 741 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 5215 85.1429 % Incorrectly Classified Instances 910 14.8571 % Kappa statistic 0.8267 Mean absolute error 0.0782 Root mean squared error 0.1791 Relative absolute error 31.9373 % Root relative squared error 51.1897 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.906 0.027 0.848 0.906 0.877 0.99 chest 0.782 0.031 0.809 0.782 0.795 0.975 forearm 0.911 0.025 0.859 0.911 0.884 0.989 head 0.848 0.017 0.892 0.848 0.87 0.988 shin 0.843 0.024 0.856 0.843 0.85 0.983 thigh 0.838 0.023 0.858 0.838 0.848 0.978 upperarm 0.831 0.027 0.838 0.831 0.834 0.985 waist Weighted Avg. 0.851 0.025 0.851 0.851 0.851 0.984 === Confusion Matrix === a b c d e f g <-- classified as 795 23 14 2 5 22 16 | a = chest 21 682 54 4 18 38 55 | b = forearm 18 20 797 2 8 13 17 | c = head 10 16 10 743 62 13 22 | d = shin 15 20 14 50 738 25 13 | e = thigh 37 33 21 14 19 733 18 | f = upperarm 41 49 18 18 12 10 727 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 5259 85.8612 % Incorrectly Classified Instances 866 14.1388 % Kappa statistic 0.835 Mean absolute error 0.0772 Root mean squared error 0.1762 Relative absolute error 31.5385 % Root relative squared error 50.3424 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.909 0.027 0.851 0.909 0.879 0.991 chest 0.794 0.026 0.835 0.794 0.814 0.98 forearm 0.894 0.023 0.864 0.894 0.879 0.99 head 0.858 0.019 0.885 0.858 0.871 0.985 shin 0.841 0.023 0.86 0.841 0.85 0.98 thigh 0.872 0.021 0.873 0.872 0.872 0.989 upperarm 0.842 0.026 0.843 0.842 0.843 0.987 waist Weighted Avg. 0.859 0.024 0.859 0.859 0.858 0.986 === Confusion Matrix === a b c d e f g <-- classified as 797 15 11 4 7 24 19 | a = chest 28 692 45 7 12 32 56 | b = forearm 11 25 782 5 17 11 24 | c = head 15 15 16 752 50 10 18 | d = shin 21 14 18 46 736 28 12 | e = thigh 38 21 13 11 21 763 8 | f = upperarm 27 47 20 25 13 6 737 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 5209 85.0449 % Incorrectly Classified Instances 916 14.9551 % Kappa statistic 0.8255 Mean absolute error 0.0796 Root mean squared error 0.1814 Relative absolute error 32.5069 % Root relative squared error 51.8361 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.888 0.03 0.834 0.888 0.86 0.989 chest 0.794 0.028 0.824 0.794 0.808 0.975 forearm 0.913 0.025 0.859 0.913 0.885 0.99 head 0.837 0.019 0.881 0.837 0.858 0.985 shin 0.834 0.026 0.844 0.834 0.839 0.98 thigh 0.851 0.023 0.862 0.851 0.857 0.984 upperarm 0.835 0.025 0.85 0.835 0.843 0.983 waist Weighted Avg. 0.85 0.025 0.851 0.85 0.85 0.984 === Confusion Matrix === a b c d e f g <-- classified as 779 18 7 9 15 24 25 | a = chest 24 692 45 9 22 26 54 | b = forearm 11 21 799 5 7 16 16 | c = head 17 17 20 733 63 8 18 | d = shin 25 17 12 47 730 33 11 | e = thigh 40 31 26 14 14 745 5 | f = upperarm 38 44 21 15 14 12 731 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 5186 84.6694 % Incorrectly Classified Instances 939 15.3306 % Kappa statistic 0.8211 Mean absolute error 0.0783 Root mean squared error 0.1803 Relative absolute error 31.9526 % Root relative squared error 51.5384 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.897 0.031 0.828 0.897 0.861 0.989 chest 0.806 0.027 0.831 0.806 0.818 0.98 forearm 0.905 0.03 0.836 0.905 0.869 0.99 head 0.84 0.017 0.891 0.84 0.865 0.985 shin 0.829 0.024 0.85 0.829 0.839 0.979 thigh 0.831 0.024 0.854 0.831 0.842 0.982 upperarm 0.818 0.026 0.841 0.818 0.83 0.982 waist Weighted Avg. 0.847 0.026 0.847 0.847 0.846 0.984 === Confusion Matrix === a b c d e f g <-- classified as 787 21 14 7 11 20 17 | a = chest 29 703 39 5 10 29 57 | b = forearm 12 18 792 2 11 18 22 | c = head 13 21 24 736 57 9 16 | d = shin 29 15 24 41 725 33 8 | e = thigh 39 24 29 14 27 727 15 | f = upperarm 42 44 25 21 12 15 716 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 5213 85.1102 % Incorrectly Classified Instances 912 14.8898 % Kappa statistic 0.8263 Mean absolute error 0.0779 Root mean squared error 0.1795 Relative absolute error 31.804 % Root relative squared error 51.2909 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.876 0.028 0.841 0.876 0.858 0.988 chest 0.798 0.03 0.814 0.798 0.806 0.978 forearm 0.903 0.021 0.878 0.903 0.89 0.991 head 0.864 0.018 0.887 0.864 0.876 0.988 shin 0.809 0.023 0.854 0.809 0.831 0.977 thigh 0.861 0.027 0.842 0.861 0.851 0.982 upperarm 0.847 0.027 0.841 0.847 0.844 0.986 waist Weighted Avg. 0.851 0.025 0.851 0.851 0.851 0.984 === Confusion Matrix === a b c d e f g <-- classified as 768 23 9 7 14 34 22 | a = chest 29 696 37 8 17 33 52 | b = forearm 12 25 790 4 8 20 16 | c = head 6 17 13 757 56 8 19 | d = shin 25 23 15 51 708 36 17 | e = thigh 36 20 21 12 19 753 14 | f = upperarm 37 51 15 14 7 10 741 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 5256 85.8122 % Incorrectly Classified Instances 869 14.1878 % Kappa statistic 0.8345 Mean absolute error 0.0767 Root mean squared error 0.176 Relative absolute error 31.3231 % Root relative squared error 50.2976 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.91 0.03 0.833 0.91 0.87 0.99 chest 0.809 0.026 0.836 0.809 0.822 0.98 forearm 0.891 0.025 0.857 0.891 0.874 0.99 head 0.877 0.015 0.909 0.877 0.893 0.989 shin 0.848 0.025 0.848 0.848 0.848 0.984 thigh 0.841 0.021 0.87 0.841 0.855 0.983 upperarm 0.831 0.023 0.857 0.831 0.844 0.986 waist Weighted Avg. 0.858 0.024 0.859 0.858 0.858 0.986 === Confusion Matrix === a b c d e f g <-- classified as 797 19 17 2 9 18 14 | a = chest 30 706 41 6 15 30 45 | b = forearm 12 32 779 2 13 16 20 | c = head 8 13 12 768 54 8 13 | d = shin 23 12 15 42 742 27 14 | e = thigh 46 21 15 13 29 736 15 | f = upperarm 41 41 30 12 13 11 728 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 7 FOLD: 0 Correctly Classified Instances 5199 84.8816 % Incorrectly Classified Instances 926 15.1184 % Kappa statistic 0.8236 Mean absolute error 0.0795 Root mean squared error 0.1817 Relative absolute error 32.4514 % Root relative squared error 51.9129 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.904 0.028 0.842 0.904 0.872 0.989 chest 0.78 0.034 0.791 0.78 0.785 0.973 forearm 0.897 0.024 0.86 0.897 0.878 0.989 head 0.872 0.014 0.909 0.872 0.89 0.989 shin 0.79 0.022 0.859 0.79 0.823 0.977 thigh 0.851 0.026 0.847 0.851 0.849 0.983 upperarm 0.847 0.028 0.836 0.847 0.842 0.984 waist Weighted Avg. 0.849 0.025 0.849 0.849 0.849 0.983 === Confusion Matrix === a b c d e f g <-- classified as 793 19 11 6 5 25 18 | a = chest 31 681 50 4 19 30 58 | b = forearm 15 40 785 3 8 10 14 | c = head 11 13 11 763 48 14 15 | d = shin 24 31 16 43 691 42 28 | e = thigh 38 31 18 10 21 745 12 | f = upperarm 30 46 22 10 12 14 741 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 5205 84.9796 % Incorrectly Classified Instances 920 15.0204 % Kappa statistic 0.8248 Mean absolute error 0.078 Root mean squared error 0.1789 Relative absolute error 31.8594 % Root relative squared error 51.125 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.879 0.026 0.847 0.879 0.863 0.988 chest 0.818 0.028 0.829 0.818 0.824 0.981 forearm 0.877 0.024 0.858 0.877 0.867 0.989 head 0.849 0.021 0.871 0.849 0.86 0.987 shin 0.822 0.024 0.852 0.822 0.837 0.979 thigh 0.869 0.028 0.838 0.869 0.853 0.985 upperarm 0.835 0.024 0.854 0.835 0.845 0.984 waist Weighted Avg. 0.85 0.025 0.85 0.85 0.85 0.985 === Confusion Matrix === a b c d e f g <-- classified as 771 19 13 5 19 33 17 | a = chest 19 714 28 12 11 42 47 | b = forearm 16 32 767 4 14 22 20 | c = head 14 17 22 743 54 8 17 | d = shin 27 11 25 52 719 30 11 | e = thigh 31 20 17 15 19 760 13 | f = upperarm 32 48 22 22 8 12 731 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 5247 85.6653 % Incorrectly Classified Instances 878 14.3347 % Kappa statistic 0.8328 Mean absolute error 0.0769 Root mean squared error 0.1768 Relative absolute error 31.4206 % Root relative squared error 50.5111 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.888 0.025 0.854 0.888 0.871 0.989 chest 0.816 0.03 0.817 0.816 0.817 0.979 forearm 0.917 0.026 0.856 0.917 0.885 0.99 head 0.866 0.015 0.905 0.866 0.885 0.989 shin 0.826 0.023 0.857 0.826 0.841 0.981 thigh 0.859 0.025 0.852 0.859 0.856 0.985 upperarm 0.824 0.023 0.858 0.824 0.841 0.985 waist Weighted Avg. 0.857 0.024 0.857 0.857 0.856 0.985 === Confusion Matrix === a b c d e f g <-- classified as 778 23 14 3 11 25 22 | a = chest 24 712 40 4 14 28 51 | b = forearm 14 23 802 5 9 14 8 | c = head 10 21 10 759 53 8 15 | d = shin 23 12 20 47 723 40 10 | e = thigh 28 27 25 9 21 752 13 | f = upperarm 34 53 26 12 13 16 721 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 5257 85.8286 % Incorrectly Classified Instances 868 14.1714 % Kappa statistic 0.8347 Mean absolute error 0.0773 Root mean squared error 0.177 Relative absolute error 31.549 % Root relative squared error 50.5718 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.901 0.031 0.83 0.901 0.864 0.989 chest 0.787 0.023 0.85 0.787 0.817 0.981 forearm 0.926 0.025 0.862 0.926 0.893 0.993 head 0.862 0.017 0.896 0.862 0.878 0.986 shin 0.833 0.022 0.866 0.833 0.849 0.985 thigh 0.864 0.022 0.865 0.864 0.864 0.987 upperarm 0.836 0.026 0.843 0.836 0.839 0.984 waist Weighted Avg. 0.858 0.024 0.859 0.858 0.858 0.986 === Confusion Matrix === a b c d e f g <-- classified as 789 13 16 4 7 23 24 | a = chest 36 686 44 2 17 40 47 | b = forearm 10 20 810 4 8 9 14 | c = head 9 13 16 755 55 6 22 | d = shin 30 13 9 52 729 27 15 | e = thigh 38 16 21 11 19 756 14 | f = upperarm 39 46 24 15 7 13 732 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 5245 85.6327 % Incorrectly Classified Instances 880 14.3673 % Kappa statistic 0.8324 Mean absolute error 0.0769 Root mean squared error 0.1765 Relative absolute error 31.416 % Root relative squared error 50.4337 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.919 0.027 0.85 0.919 0.883 0.992 chest 0.803 0.028 0.824 0.803 0.813 0.98 forearm 0.903 0.029 0.838 0.903 0.869 0.99 head 0.856 0.014 0.909 0.856 0.882 0.989 shin 0.814 0.023 0.857 0.814 0.835 0.981 thigh 0.865 0.024 0.858 0.865 0.862 0.984 upperarm 0.834 0.022 0.862 0.834 0.848 0.985 waist Weighted Avg. 0.856 0.024 0.857 0.856 0.856 0.986 === Confusion Matrix === a b c d e f g <-- classified as 805 17 10 2 11 15 16 | a = chest 22 700 47 1 14 32 56 | b = forearm 16 27 790 5 9 14 14 | c = head 14 13 18 750 64 5 12 | d = shin 21 20 20 48 712 47 7 | e = thigh 35 22 32 7 10 757 12 | f = upperarm 34 50 26 12 11 12 731 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 5218 85.1918 % Incorrectly Classified Instances 907 14.8082 % Kappa statistic 0.8272 Mean absolute error 0.078 Root mean squared error 0.1785 Relative absolute error 31.8688 % Root relative squared error 51.024 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.897 0.029 0.839 0.897 0.867 0.989 chest 0.787 0.027 0.827 0.787 0.806 0.978 forearm 0.895 0.028 0.844 0.895 0.869 0.99 head 0.863 0.015 0.905 0.863 0.884 0.986 shin 0.822 0.024 0.849 0.822 0.835 0.979 thigh 0.856 0.024 0.856 0.856 0.856 0.985 upperarm 0.844 0.026 0.847 0.844 0.845 0.984 waist Weighted Avg. 0.852 0.025 0.852 0.852 0.852 0.985 === Confusion Matrix === a b c d e f g <-- classified as 786 18 13 4 8 24 23 | a = chest 35 686 44 9 19 29 50 | b = forearm 10 23 783 4 23 13 19 | c = head 11 16 17 756 53 13 10 | d = shin 20 16 23 42 718 35 20 | e = thigh 38 31 23 8 14 750 12 | f = upperarm 37 40 25 12 11 12 739 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 5255 85.7959 % Incorrectly Classified Instances 870 14.2041 % Kappa statistic 0.8343 Mean absolute error 0.0782 Root mean squared error 0.1788 Relative absolute error 31.9337 % Root relative squared error 51.0878 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.908 0.028 0.845 0.908 0.875 0.99 chest 0.806 0.025 0.844 0.806 0.825 0.978 forearm 0.902 0.022 0.871 0.902 0.886 0.991 head 0.85 0.018 0.89 0.85 0.87 0.988 shin 0.85 0.026 0.842 0.85 0.846 0.982 thigh 0.833 0.025 0.849 0.833 0.841 0.98 upperarm 0.856 0.022 0.866 0.856 0.861 0.987 waist Weighted Avg. 0.858 0.024 0.858 0.858 0.858 0.985 === Confusion Matrix === a b c d e f g <-- classified as 795 13 8 2 14 27 17 | a = chest 28 703 46 6 14 41 34 | b = forearm 13 26 789 1 8 12 26 | c = head 11 12 14 745 63 12 19 | d = shin 15 13 14 58 743 26 5 | e = thigh 48 25 20 13 25 730 15 | f = upperarm 31 41 15 12 15 12 750 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 5271 86.0571 % Incorrectly Classified Instances 854 13.9429 % Kappa statistic 0.8373 Mean absolute error 0.078 Root mean squared error 0.1779 Relative absolute error 31.8667 % Root relative squared error 50.8344 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.906 0.028 0.843 0.906 0.874 0.99 chest 0.822 0.028 0.83 0.822 0.826 0.979 forearm 0.902 0.022 0.87 0.902 0.885 0.989 head 0.871 0.016 0.9 0.871 0.885 0.987 shin 0.841 0.018 0.886 0.841 0.863 0.981 thigh 0.842 0.023 0.857 0.842 0.85 0.98 upperarm 0.839 0.026 0.842 0.839 0.84 0.984 waist Weighted Avg. 0.861 0.023 0.861 0.861 0.86 0.984 === Confusion Matrix === a b c d e f g <-- classified as 795 24 10 3 11 21 13 | a = chest 21 717 38 5 11 25 55 | b = forearm 13 28 788 4 6 15 20 | c = head 13 11 13 763 41 13 22 | d = shin 21 15 11 42 736 34 16 | e = thigh 44 24 26 15 17 738 12 | f = upperarm 36 45 20 16 9 15 734 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 5220 85.2245 % Incorrectly Classified Instances 905 14.7755 % Kappa statistic 0.8276 Mean absolute error 0.0776 Root mean squared error 0.1787 Relative absolute error 31.6825 % Root relative squared error 51.0788 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.895 0.026 0.852 0.895 0.873 0.988 chest 0.815 0.031 0.815 0.815 0.815 0.979 forearm 0.911 0.027 0.85 0.911 0.88 0.99 head 0.833 0.017 0.889 0.833 0.86 0.984 shin 0.831 0.025 0.849 0.831 0.84 0.982 thigh 0.839 0.023 0.858 0.839 0.848 0.985 upperarm 0.841 0.024 0.854 0.841 0.847 0.986 waist Weighted Avg. 0.852 0.025 0.853 0.852 0.852 0.985 === Confusion Matrix === a b c d e f g <-- classified as 785 15 22 3 10 27 15 | a = chest 22 711 45 1 16 33 44 | b = forearm 8 25 796 4 8 15 18 | c = head 20 15 15 730 58 11 27 | d = shin 22 21 16 50 727 28 11 | e = thigh 36 31 19 16 28 735 11 | f = upperarm 28 54 23 17 9 8 736 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 5263 85.9265 % Incorrectly Classified Instances 862 14.0735 % Kappa statistic 0.8358 Mean absolute error 0.0782 Root mean squared error 0.1774 Relative absolute error 31.9175 % Root relative squared error 50.6902 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.902 0.028 0.841 0.902 0.871 0.99 chest 0.802 0.024 0.845 0.802 0.823 0.979 forearm 0.906 0.026 0.855 0.906 0.88 0.99 head 0.874 0.016 0.901 0.874 0.888 0.989 shin 0.814 0.02 0.87 0.814 0.841 0.981 thigh 0.864 0.026 0.848 0.864 0.856 0.983 upperarm 0.853 0.024 0.856 0.853 0.854 0.986 waist Weighted Avg. 0.859 0.023 0.86 0.859 0.859 0.985 === Confusion Matrix === a b c d e f g <-- classified as 791 10 9 3 13 30 21 | a = chest 29 699 45 5 15 28 51 | b = forearm 5 23 793 1 12 24 17 | c = head 6 16 13 766 52 8 15 | d = shin 31 15 20 51 712 34 12 | e = thigh 43 21 23 13 9 756 10 | f = upperarm 35 43 24 11 5 11 746 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 8 FOLD: 0 Correctly Classified Instances 5261 85.8939 % Incorrectly Classified Instances 864 14.1061 % Kappa statistic 0.8354 Mean absolute error 0.0758 Root mean squared error 0.1755 Relative absolute error 30.9551 % Root relative squared error 50.1551 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.896 0.028 0.843 0.896 0.869 0.989 chest 0.812 0.026 0.838 0.812 0.825 0.98 forearm 0.908 0.024 0.865 0.908 0.886 0.989 head 0.863 0.017 0.895 0.863 0.879 0.987 shin 0.825 0.023 0.859 0.825 0.841 0.981 thigh 0.867 0.023 0.863 0.867 0.865 0.986 upperarm 0.84 0.025 0.851 0.84 0.845 0.986 waist Weighted Avg. 0.859 0.024 0.859 0.859 0.859 0.986 === Confusion Matrix === a b c d e f g <-- classified as 786 19 7 3 15 26 21 | a = chest 24 708 38 4 21 33 44 | b = forearm 13 26 794 3 10 13 15 | c = head 13 7 18 756 50 11 21 | d = shin 24 21 19 50 722 26 13 | e = thigh 37 18 23 10 13 759 15 | f = upperarm 35 46 19 19 10 11 736 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 5253 85.7633 % Incorrectly Classified Instances 872 14.2367 % Kappa statistic 0.8339 Mean absolute error 0.0785 Root mean squared error 0.1795 Relative absolute error 32.0583 % Root relative squared error 51.3083 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.892 0.026 0.854 0.892 0.872 0.988 chest 0.821 0.03 0.822 0.821 0.822 0.979 forearm 0.905 0.025 0.856 0.905 0.88 0.99 head 0.855 0.016 0.898 0.855 0.876 0.987 shin 0.823 0.021 0.867 0.823 0.845 0.979 thigh 0.859 0.025 0.853 0.859 0.856 0.983 upperarm 0.848 0.024 0.856 0.848 0.852 0.983 waist Weighted Avg. 0.858 0.024 0.858 0.858 0.858 0.984 === Confusion Matrix === a b c d e f g <-- classified as 782 20 15 4 15 28 13 | a = chest 24 716 40 2 5 37 48 | b = forearm 5 31 791 5 10 7 25 | c = head 9 19 20 749 53 9 17 | d = shin 30 15 14 48 720 34 14 | e = thigh 39 24 23 11 18 752 8 | f = upperarm 27 46 21 15 9 15 743 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 5214 85.1265 % Incorrectly Classified Instances 911 14.8735 % Kappa statistic 0.8265 Mean absolute error 0.0773 Root mean squared error 0.1774 Relative absolute error 31.5452 % Root relative squared error 50.6927 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.887 0.031 0.827 0.887 0.856 0.987 chest 0.779 0.029 0.815 0.779 0.796 0.979 forearm 0.909 0.026 0.856 0.909 0.881 0.992 head 0.869 0.014 0.912 0.869 0.89 0.989 shin 0.82 0.023 0.856 0.82 0.838 0.984 thigh 0.865 0.023 0.86 0.865 0.863 0.985 upperarm 0.83 0.027 0.836 0.83 0.833 0.984 waist Weighted Avg. 0.851 0.025 0.852 0.851 0.851 0.986 === Confusion Matrix === a b c d e f g <-- classified as 778 24 14 0 13 27 21 | a = chest 32 679 41 6 20 39 55 | b = forearm 9 31 795 5 9 12 14 | c = head 12 15 13 761 43 11 21 | d = shin 24 18 19 50 717 26 20 | e = thigh 46 20 19 2 19 757 12 | f = upperarm 40 46 28 10 17 8 727 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 5248 85.6816 % Incorrectly Classified Instances 877 14.3184 % Kappa statistic 0.833 Mean absolute error 0.0773 Root mean squared error 0.1773 Relative absolute error 31.5606 % Root relative squared error 50.6576 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.901 0.028 0.844 0.901 0.871 0.991 chest 0.812 0.029 0.824 0.812 0.818 0.979 forearm 0.897 0.025 0.858 0.897 0.877 0.99 head 0.854 0.017 0.895 0.854 0.874 0.987 shin 0.823 0.021 0.868 0.823 0.845 0.979 thigh 0.86 0.025 0.85 0.86 0.855 0.985 upperarm 0.852 0.023 0.861 0.852 0.856 0.986 waist Weighted Avg. 0.857 0.024 0.857 0.857 0.857 0.986 === Confusion Matrix === a b c d e f g <-- classified as 789 23 7 3 4 30 20 | a = chest 27 708 47 5 12 32 41 | b = forearm 10 21 785 4 14 16 25 | c = head 13 13 14 748 57 15 16 | d = shin 20 21 26 47 719 32 9 | e = thigh 46 27 17 8 16 753 9 | f = upperarm 30 46 19 21 6 8 746 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 5257 85.8286 % Incorrectly Classified Instances 868 14.1714 % Kappa statistic 0.8347 Mean absolute error 0.0774 Root mean squared error 0.1766 Relative absolute error 31.5928 % Root relative squared error 50.4691 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.908 0.024 0.863 0.908 0.885 0.991 chest 0.81 0.03 0.816 0.81 0.813 0.979 forearm 0.904 0.021 0.878 0.904 0.891 0.992 head 0.857 0.016 0.897 0.857 0.877 0.986 shin 0.827 0.021 0.866 0.827 0.846 0.981 thigh 0.85 0.027 0.839 0.85 0.845 0.979 upperarm 0.851 0.025 0.849 0.851 0.85 0.987 waist Weighted Avg. 0.858 0.024 0.858 0.858 0.858 0.985 === Confusion Matrix === a b c d e f g <-- classified as 795 14 9 4 11 22 21 | a = chest 33 706 32 11 14 32 44 | b = forearm 8 31 791 4 6 21 14 | c = head 12 21 12 751 50 7 23 | d = shin 14 15 14 45 724 50 13 | e = thigh 34 27 22 13 18 745 17 | f = upperarm 25 51 21 9 13 11 745 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 5229 85.3714 % Incorrectly Classified Instances 896 14.6286 % Kappa statistic 0.8293 Mean absolute error 0.0775 Root mean squared error 0.1774 Relative absolute error 31.6358 % Root relative squared error 50.6832 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.896 0.028 0.844 0.896 0.869 0.99 chest 0.782 0.028 0.825 0.782 0.803 0.979 forearm 0.918 0.026 0.856 0.918 0.886 0.991 head 0.839 0.015 0.904 0.839 0.87 0.987 shin 0.848 0.028 0.836 0.848 0.842 0.982 thigh 0.869 0.024 0.86 0.869 0.864 0.985 upperarm 0.824 0.023 0.854 0.824 0.839 0.985 waist Weighted Avg. 0.854 0.024 0.854 0.854 0.853 0.986 === Confusion Matrix === a b c d e f g <-- classified as 785 21 15 3 17 24 11 | a = chest 25 682 50 6 20 31 58 | b = forearm 13 19 803 0 7 15 18 | c = head 7 11 17 735 81 12 13 | d = shin 22 20 13 36 742 29 13 | e = thigh 32 25 18 14 16 761 10 | f = upperarm 46 49 22 19 5 13 721 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 5220 85.2245 % Incorrectly Classified Instances 905 14.7755 % Kappa statistic 0.8276 Mean absolute error 0.079 Root mean squared error 0.1797 Relative absolute error 32.244 % Root relative squared error 51.3485 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.908 0.029 0.841 0.908 0.873 0.99 chest 0.808 0.031 0.812 0.808 0.81 0.978 forearm 0.893 0.029 0.836 0.893 0.863 0.99 head 0.864 0.019 0.882 0.864 0.873 0.987 shin 0.83 0.021 0.866 0.83 0.848 0.981 thigh 0.84 0.022 0.866 0.84 0.853 0.981 upperarm 0.823 0.021 0.865 0.823 0.844 0.984 waist Weighted Avg. 0.852 0.025 0.853 0.852 0.852 0.984 === Confusion Matrix === a b c d e f g <-- classified as 795 14 15 4 9 26 13 | a = chest 32 705 41 4 19 19 52 | b = forearm 16 22 781 5 9 22 20 | c = head 17 18 22 757 44 8 10 | d = shin 24 17 16 54 726 30 8 | e = thigh 36 27 32 18 18 736 9 | f = upperarm 25 65 27 16 13 9 720 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 5175 84.4898 % Incorrectly Classified Instances 950 15.5102 % Kappa statistic 0.819 Mean absolute error 0.0791 Root mean squared error 0.1809 Relative absolute error 32.2838 % Root relative squared error 51.7017 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.893 0.03 0.83 0.893 0.86 0.989 chest 0.812 0.034 0.797 0.812 0.804 0.979 forearm 0.882 0.022 0.867 0.882 0.875 0.987 head 0.854 0.017 0.893 0.854 0.873 0.985 shin 0.811 0.026 0.84 0.811 0.826 0.981 thigh 0.819 0.021 0.865 0.819 0.842 0.981 upperarm 0.842 0.029 0.827 0.842 0.835 0.984 waist Weighted Avg. 0.845 0.026 0.846 0.845 0.845 0.984 === Confusion Matrix === a b c d e f g <-- classified as 782 26 7 2 8 25 26 | a = chest 29 709 40 5 10 22 58 | b = forearm 13 35 772 2 16 14 23 | c = head 14 16 10 748 57 9 22 | d = shin 31 17 20 53 710 32 12 | e = thigh 37 44 22 13 29 717 13 | f = upperarm 36 43 19 15 15 10 737 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 5217 85.1755 % Incorrectly Classified Instances 908 14.8245 % Kappa statistic 0.827 Mean absolute error 0.0788 Root mean squared error 0.1787 Relative absolute error 32.1573 % Root relative squared error 51.0635 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.9 0.03 0.835 0.9 0.866 0.989 chest 0.781 0.031 0.807 0.781 0.794 0.976 forearm 0.896 0.024 0.863 0.896 0.879 0.99 head 0.865 0.017 0.893 0.865 0.879 0.987 shin 0.841 0.022 0.864 0.841 0.852 0.984 thigh 0.845 0.026 0.846 0.845 0.845 0.985 upperarm 0.834 0.023 0.856 0.834 0.845 0.985 waist Weighted Avg. 0.852 0.025 0.852 0.852 0.852 0.985 === Confusion Matrix === a b c d e f g <-- classified as 789 16 12 5 14 25 16 | a = chest 28 682 51 3 17 36 56 | b = forearm 20 30 784 7 5 17 12 | c = head 12 13 15 757 55 7 16 | d = shin 21 13 12 44 736 40 9 | e = thigh 38 28 22 15 19 739 14 | f = upperarm 37 63 12 17 6 10 730 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 5237 85.502 % Incorrectly Classified Instances 888 14.498 % Kappa statistic 0.8309 Mean absolute error 0.0776 Root mean squared error 0.1775 Relative absolute error 31.6859 % Root relative squared error 50.7389 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.897 0.028 0.844 0.897 0.87 0.989 chest 0.814 0.027 0.833 0.814 0.823 0.979 forearm 0.913 0.026 0.854 0.913 0.882 0.99 head 0.87 0.019 0.886 0.87 0.878 0.988 shin 0.821 0.023 0.857 0.821 0.838 0.981 thigh 0.848 0.023 0.861 0.848 0.854 0.983 upperarm 0.822 0.024 0.852 0.822 0.837 0.985 waist Weighted Avg. 0.855 0.024 0.855 0.855 0.855 0.985 === Confusion Matrix === a b c d e f g <-- classified as 787 18 12 3 8 19 30 | a = chest 26 711 44 6 15 30 41 | b = forearm 9 24 799 3 15 13 12 | c = head 13 11 13 761 53 8 16 | d = shin 27 15 15 56 718 30 14 | e = thigh 36 21 30 16 18 742 12 | f = upperarm 34 54 23 14 11 20 719 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 9 FOLD: 0 Correctly Classified Instances 5262 85.9102 % Incorrectly Classified Instances 863 14.0898 % Kappa statistic 0.8356 Mean absolute error 0.0766 Root mean squared error 0.1761 Relative absolute error 31.2724 % Root relative squared error 50.3364 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.895 0.026 0.85 0.895 0.872 0.99 chest 0.802 0.028 0.825 0.802 0.813 0.978 forearm 0.912 0.025 0.859 0.912 0.885 0.991 head 0.872 0.017 0.896 0.872 0.884 0.989 shin 0.807 0.021 0.865 0.807 0.835 0.98 thigh 0.859 0.024 0.855 0.859 0.857 0.985 upperarm 0.866 0.023 0.864 0.866 0.865 0.988 waist Weighted Avg. 0.859 0.023 0.859 0.859 0.859 0.986 === Confusion Matrix === a b c d e f g <-- classified as 785 19 12 6 13 26 16 | a = chest 30 700 51 5 13 34 40 | b = forearm 11 19 797 8 7 16 16 | c = head 9 16 13 764 50 9 15 | d = shin 32 22 13 47 706 33 22 | e = thigh 30 28 26 10 19 752 10 | f = upperarm 26 44 16 13 8 10 758 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 5293 86.4163 % Incorrectly Classified Instances 832 13.5837 % Kappa statistic 0.8415 Mean absolute error 0.0749 Root mean squared error 0.173 Relative absolute error 30.5897 % Root relative squared error 49.4525 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.918 0.026 0.857 0.918 0.887 0.992 chest 0.816 0.027 0.836 0.816 0.826 0.982 forearm 0.916 0.025 0.859 0.916 0.887 0.992 head 0.851 0.016 0.898 0.851 0.874 0.988 shin 0.838 0.024 0.855 0.838 0.846 0.984 thigh 0.866 0.021 0.873 0.866 0.87 0.985 upperarm 0.843 0.021 0.872 0.843 0.858 0.988 waist Weighted Avg. 0.864 0.023 0.864 0.864 0.864 0.987 === Confusion Matrix === a b c d e f g <-- classified as 805 16 10 2 11 21 12 | a = chest 19 712 44 10 17 27 44 | b = forearm 14 19 801 0 5 18 17 | c = head 6 12 19 745 62 16 15 | d = shin 34 16 16 48 733 20 8 | e = thigh 35 24 20 8 18 759 12 | f = upperarm 26 53 22 17 11 8 738 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 5156 84.1796 % Incorrectly Classified Instances 969 15.8204 % Kappa statistic 0.8154 Mean absolute error 0.0802 Root mean squared error 0.1824 Relative absolute error 32.7632 % Root relative squared error 52.1356 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.895 0.031 0.827 0.895 0.86 0.989 chest 0.782 0.028 0.825 0.782 0.803 0.975 forearm 0.901 0.028 0.841 0.901 0.87 0.989 head 0.841 0.016 0.898 0.841 0.868 0.987 shin 0.821 0.025 0.847 0.821 0.833 0.981 thigh 0.816 0.025 0.845 0.816 0.83 0.979 upperarm 0.837 0.032 0.815 0.837 0.826 0.982 waist Weighted Avg. 0.842 0.026 0.842 0.842 0.842 0.983 === Confusion Matrix === a b c d e f g <-- classified as 784 23 11 5 13 21 19 | a = chest 33 683 47 4 15 31 60 | b = forearm 10 22 788 1 11 17 26 | c = head 9 14 15 736 62 11 28 | d = shin 20 13 18 53 718 40 13 | e = thigh 53 26 30 9 23 715 20 | f = upperarm 39 47 28 12 6 11 732 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 5230 85.3878 % Incorrectly Classified Instances 895 14.6122 % Kappa statistic 0.8295 Mean absolute error 0.0791 Root mean squared error 0.1798 Relative absolute error 32.2869 % Root relative squared error 51.3911 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.903 0.03 0.834 0.903 0.867 0.989 chest 0.794 0.027 0.828 0.794 0.81 0.978 forearm 0.905 0.022 0.874 0.905 0.889 0.991 head 0.834 0.018 0.888 0.834 0.861 0.984 shin 0.843 0.022 0.863 0.843 0.853 0.981 thigh 0.856 0.022 0.866 0.856 0.861 0.984 upperarm 0.841 0.03 0.826 0.841 0.834 0.984 waist Weighted Avg. 0.854 0.024 0.854 0.854 0.854 0.984 === Confusion Matrix === a b c d e f g <-- classified as 791 15 13 6 10 17 24 | a = chest 26 692 38 1 15 40 60 | b = forearm 12 22 792 6 7 16 20 | c = head 17 18 12 731 60 12 26 | d = shin 26 13 13 53 737 18 14 | e = thigh 35 37 18 11 14 750 11 | f = upperarm 41 39 20 15 11 13 737 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 5231 85.4041 % Incorrectly Classified Instances 894 14.5959 % Kappa statistic 0.8297 Mean absolute error 0.0771 Root mean squared error 0.1769 Relative absolute error 31.4992 % Root relative squared error 50.5646 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.903 0.023 0.867 0.903 0.885 0.992 chest 0.817 0.029 0.822 0.817 0.819 0.979 forearm 0.881 0.024 0.858 0.881 0.869 0.988 head 0.864 0.017 0.896 0.864 0.88 0.989 shin 0.84 0.024 0.854 0.84 0.847 0.983 thigh 0.848 0.027 0.838 0.848 0.843 0.982 upperarm 0.825 0.026 0.844 0.825 0.834 0.983 waist Weighted Avg. 0.854 0.024 0.854 0.854 0.854 0.985 === Confusion Matrix === a b c d e f g <-- classified as 791 14 4 3 7 32 25 | a = chest 21 712 41 4 11 34 49 | b = forearm 10 36 771 4 13 18 23 | c = head 12 12 13 757 59 8 15 | d = shin 10 19 19 47 734 35 10 | e = thigh 38 22 29 13 19 743 12 | f = upperarm 30 51 22 17 16 17 723 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 5242 85.5837 % Incorrectly Classified Instances 883 14.4163 % Kappa statistic 0.8318 Mean absolute error 0.0781 Root mean squared error 0.1784 Relative absolute error 31.8848 % Root relative squared error 50.9824 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.886 0.027 0.846 0.886 0.866 0.987 chest 0.791 0.029 0.819 0.791 0.805 0.978 forearm 0.897 0.026 0.851 0.897 0.874 0.989 head 0.862 0.015 0.903 0.862 0.882 0.986 shin 0.841 0.022 0.867 0.841 0.854 0.981 thigh 0.864 0.024 0.855 0.864 0.86 0.986 upperarm 0.849 0.025 0.85 0.849 0.85 0.983 waist Weighted Avg. 0.856 0.024 0.856 0.856 0.856 0.984 === Confusion Matrix === a b c d e f g <-- classified as 776 17 18 7 6 30 22 | a = chest 32 690 44 9 12 34 51 | b = forearm 14 30 785 5 15 9 17 | c = head 9 16 9 755 54 10 23 | d = shin 28 12 19 37 736 35 8 | e = thigh 32 23 29 9 16 756 10 | f = upperarm 26 54 18 14 10 10 744 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 5224 85.2898 % Incorrectly Classified Instances 901 14.7102 % Kappa statistic 0.8284 Mean absolute error 0.0777 Root mean squared error 0.1788 Relative absolute error 31.7423 % Root relative squared error 51.1 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.9 0.027 0.849 0.9 0.874 0.99 chest 0.818 0.029 0.825 0.818 0.821 0.981 forearm 0.895 0.026 0.853 0.895 0.873 0.989 head 0.841 0.018 0.885 0.841 0.862 0.985 shin 0.826 0.027 0.835 0.826 0.831 0.977 thigh 0.853 0.026 0.847 0.853 0.85 0.981 upperarm 0.838 0.019 0.879 0.838 0.858 0.987 waist Weighted Avg. 0.853 0.025 0.853 0.853 0.853 0.984 === Confusion Matrix === a b c d e f g <-- classified as 788 19 15 3 13 26 12 | a = chest 35 713 39 7 16 28 34 | b = forearm 13 24 783 4 19 16 16 | c = head 13 19 23 737 57 12 15 | d = shin 16 19 18 51 723 39 9 | e = thigh 37 24 18 12 23 746 15 | f = upperarm 26 46 22 19 15 14 734 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 5269 86.0245 % Incorrectly Classified Instances 856 13.9755 % Kappa statistic 0.837 Mean absolute error 0.0773 Root mean squared error 0.1768 Relative absolute error 31.5642 % Root relative squared error 50.5172 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.879 0.026 0.85 0.879 0.864 0.987 chest 0.8 0.023 0.851 0.8 0.825 0.98 forearm 0.913 0.023 0.87 0.913 0.891 0.99 head 0.873 0.017 0.897 0.873 0.885 0.989 shin 0.834 0.024 0.854 0.834 0.844 0.982 thigh 0.874 0.024 0.857 0.874 0.865 0.986 upperarm 0.847 0.026 0.843 0.847 0.845 0.984 waist Weighted Avg. 0.86 0.023 0.86 0.86 0.86 0.985 === Confusion Matrix === a b c d e f g <-- classified as 771 22 10 7 18 28 21 | a = chest 25 698 40 4 14 30 61 | b = forearm 9 26 799 3 7 18 13 | c = head 11 13 16 765 49 8 14 | d = shin 21 9 17 56 730 28 14 | e = thigh 30 16 19 9 21 765 15 | f = upperarm 40 36 17 9 16 16 741 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 5207 85.0122 % Incorrectly Classified Instances 918 14.9878 % Kappa statistic 0.8251 Mean absolute error 0.0796 Root mean squared error 0.1803 Relative absolute error 32.5137 % Root relative squared error 51.532 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.892 0.031 0.829 0.892 0.859 0.989 chest 0.8 0.031 0.812 0.8 0.806 0.975 forearm 0.885 0.021 0.874 0.885 0.879 0.991 head 0.861 0.015 0.905 0.861 0.882 0.988 shin 0.809 0.022 0.859 0.809 0.833 0.981 thigh 0.862 0.026 0.849 0.862 0.855 0.984 upperarm 0.842 0.029 0.827 0.842 0.835 0.984 waist Weighted Avg. 0.85 0.025 0.851 0.85 0.85 0.985 === Confusion Matrix === a b c d e f g <-- classified as 782 18 7 2 16 29 23 | a = chest 31 698 36 5 15 27 60 | b = forearm 18 37 774 3 9 17 17 | c = head 14 12 15 754 52 7 22 | d = shin 25 24 20 47 708 34 17 | e = thigh 38 25 10 12 21 754 15 | f = upperarm 35 46 24 10 3 20 737 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 5236 85.4857 % Incorrectly Classified Instances 889 14.5143 % Kappa statistic 0.8307 Mean absolute error 0.0773 Root mean squared error 0.1769 Relative absolute error 31.5751 % Root relative squared error 50.5445 % Total Number of Instances 6125 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.9 0.029 0.84 0.9 0.869 0.99 chest 0.806 0.027 0.834 0.806 0.82 0.981 forearm 0.912 0.023 0.866 0.912 0.889 0.991 head 0.872 0.018 0.891 0.872 0.882 0.989 shin 0.811 0.025 0.844 0.811 0.828 0.982 thigh 0.863 0.024 0.859 0.863 0.861 0.985 upperarm 0.819 0.024 0.849 0.819 0.834 0.985 waist Weighted Avg. 0.855 0.024 0.855 0.855 0.854 0.986 === Confusion Matrix === a b c d e f g <-- classified as 789 17 14 1 10 26 20 | a = chest 30 703 33 4 23 30 49 | b = forearm 11 26 798 0 11 14 15 | c = head 9 9 15 764 50 10 19 | d = shin 22 19 14 58 710 40 12 | e = thigh 36 20 17 15 19 755 13 | f = upperarm 42 49 30 15 18 4 717 | g = waist ------------------------------------------------------------------------------------------------------ SUBJECT: 10 RUN: 0 FOLD: 0 Correctly Classified Instances 4766 83.2489 % Incorrectly Classified Instances 959 16.7511 % Kappa statistic 0.8046 Mean absolute error 0.085 Root mean squared error 0.1881 Relative absolute error 34.7225 % Root relative squared error 53.7566 % Total Number of Instances 5725 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.863 0.021 0.872 0.863 0.867 0.987 chest 0.78 0.023 0.848 0.78 0.813 0.978 forearm 0.88 0.039 0.789 0.88 0.832 0.983 head 0.884 0.015 0.908 0.884 0.896 0.99 shin 0.746 0.019 0.87 0.746 0.803 0.974 thigh 0.833 0.033 0.806 0.833 0.819 0.978 upperarm 0.841 0.045 0.757 0.841 0.797 0.976 waist Weighted Avg. 0.832 0.028 0.836 0.832 0.833 0.981 === Confusion Matrix === a b c d e f g <-- classified as 707 20 15 1 12 28 36 | a = chest 34 636 62 9 8 13 53 | b = forearm 10 23 720 3 3 32 27 | c = head 4 10 10 723 35 19 17 | d = shin 23 9 28 44 610 50 54 | e = thigh 14 16 48 8 17 681 34 | f = upperarm 19 36 29 8 16 22 689 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4709 82.2533 % Incorrectly Classified Instances 1016 17.7467 % Kappa statistic 0.793 Mean absolute error 0.0866 Root mean squared error 0.1913 Relative absolute error 35.3505 % Root relative squared error 54.6749 % Total Number of Instances 5725 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.856 0.027 0.841 0.856 0.848 0.985 chest 0.783 0.021 0.863 0.783 0.821 0.975 forearm 0.863 0.045 0.761 0.863 0.809 0.98 head 0.879 0.014 0.91 0.879 0.894 0.99 shin 0.765 0.025 0.836 0.765 0.799 0.975 thigh 0.78 0.032 0.803 0.78 0.791 0.975 upperarm 0.832 0.043 0.765 0.832 0.797 0.974 waist Weighted Avg. 0.823 0.03 0.825 0.823 0.823 0.979 === Confusion Matrix === a b c d e f g <-- classified as 701 21 24 3 6 31 33 | a = chest 31 638 68 11 13 10 44 | b = forearm 21 24 706 1 12 31 23 | c = head 5 5 13 719 37 15 24 | d = shin 16 12 27 41 626 49 47 | e = thigh 23 17 53 11 38 638 38 | f = upperarm 37 22 37 4 17 21 681 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4728 82.5852 % Incorrectly Classified Instances 997 17.4148 % Kappa statistic 0.7968 Mean absolute error 0.0882 Root mean squared error 0.1925 Relative absolute error 36.0338 % Root relative squared error 54.9979 % Total Number of Instances 5725 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.879 0.029 0.834 0.879 0.856 0.987 chest 0.801 0.022 0.859 0.801 0.829 0.977 forearm 0.845 0.041 0.773 0.845 0.807 0.978 head 0.875 0.013 0.919 0.875 0.897 0.99 shin 0.775 0.023 0.848 0.775 0.81 0.974 thigh 0.806 0.035 0.793 0.806 0.799 0.975 upperarm 0.8 0.04 0.77 0.8 0.785 0.972 waist Weighted Avg. 0.826 0.029 0.828 0.826 0.826 0.979 === Confusion Matrix === a b c d e f g <-- classified as 720 29 20 0 8 25 17 | a = chest 25 654 55 6 7 11 58 | b = forearm 17 30 691 0 8 40 32 | c = head 8 5 8 716 41 23 17 | d = shin 23 12 25 34 634 47 43 | e = thigh 30 7 58 15 21 659 28 | f = upperarm 40 24 37 8 29 26 654 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4739 82.7773 % Incorrectly Classified Instances 986 17.2227 % Kappa statistic 0.7991 Mean absolute error 0.0873 Root mean squared error 0.191 Relative absolute error 35.667 % Root relative squared error 54.5871 % Total Number of Instances 5725 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.866 0.026 0.847 0.866 0.856 0.986 chest 0.806 0.021 0.865 0.806 0.834 0.976 forearm 0.866 0.037 0.797 0.866 0.83 0.98 head 0.888 0.014 0.912 0.888 0.9 0.991 shin 0.77 0.024 0.843 0.77 0.805 0.979 thigh 0.796 0.035 0.791 0.796 0.793 0.973 upperarm 0.803 0.044 0.754 0.803 0.778 0.972 waist Weighted Avg. 0.828 0.029 0.83 0.828 0.828 0.979 === Confusion Matrix === a b c d e f g <-- classified as 709 15 19 1 13 31 31 | a = chest 30 658 46 3 9 13 57 | b = forearm 12 20 709 0 9 36 33 | c = head 4 10 8 726 36 18 16 | d = shin 19 11 24 44 629 43 47 | e = thigh 26 14 52 17 27 650 31 | f = upperarm 37 33 32 5 23 31 658 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4738 82.7743 % Incorrectly Classified Instances 986 17.2257 % Kappa statistic 0.799 Mean absolute error 0.0873 Root mean squared error 0.191 Relative absolute error 35.6577 % Root relative squared error 54.5881 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.852 0.028 0.838 0.852 0.845 0.984 chest 0.804 0.024 0.85 0.804 0.826 0.978 forearm 0.86 0.039 0.788 0.86 0.822 0.982 head 0.876 0.014 0.911 0.876 0.893 0.989 shin 0.781 0.026 0.835 0.781 0.807 0.974 thigh 0.802 0.032 0.805 0.802 0.803 0.977 upperarm 0.819 0.039 0.778 0.819 0.798 0.973 waist Weighted Avg. 0.828 0.029 0.829 0.828 0.828 0.979 === Confusion Matrix === a b c d e f g <-- classified as 698 26 21 4 17 23 30 | a = chest 34 655 55 2 12 9 48 | b = forearm 15 25 704 5 6 34 30 | c = head 4 10 10 716 42 23 12 | d = shin 23 14 19 42 638 49 32 | e = thigh 23 15 50 10 25 656 39 | f = upperarm 36 26 34 7 24 21 671 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4759 83.1412 % Incorrectly Classified Instances 965 16.8588 % Kappa statistic 0.8033 Mean absolute error 0.0861 Root mean squared error 0.1898 Relative absolute error 35.1639 % Root relative squared error 54.2441 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.858 0.029 0.831 0.858 0.844 0.983 chest 0.833 0.026 0.843 0.833 0.838 0.979 forearm 0.864 0.031 0.823 0.864 0.843 0.983 head 0.879 0.012 0.925 0.879 0.901 0.989 shin 0.756 0.024 0.841 0.756 0.796 0.97 thigh 0.806 0.035 0.792 0.806 0.799 0.977 upperarm 0.823 0.04 0.775 0.823 0.798 0.974 waist Weighted Avg. 0.831 0.028 0.833 0.831 0.832 0.979 === Confusion Matrix === a b c d e f g <-- classified as 703 27 14 1 13 33 28 | a = chest 28 679 46 4 7 9 42 | b = forearm 20 24 708 3 5 31 28 | c = head 4 8 10 718 43 17 17 | d = shin 18 22 23 29 618 63 44 | e = thigh 33 14 36 15 24 659 37 | f = upperarm 40 31 23 6 25 20 674 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4718 82.4249 % Incorrectly Classified Instances 1006 17.5751 % Kappa statistic 0.795 Mean absolute error 0.0879 Root mean squared error 0.1925 Relative absolute error 35.9052 % Root relative squared error 55.0137 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.872 0.024 0.86 0.872 0.866 0.986 chest 0.79 0.022 0.859 0.79 0.823 0.978 forearm 0.862 0.041 0.78 0.862 0.819 0.98 head 0.849 0.013 0.914 0.849 0.881 0.988 shin 0.78 0.029 0.817 0.78 0.798 0.973 thigh 0.804 0.038 0.781 0.804 0.792 0.974 upperarm 0.812 0.039 0.776 0.812 0.794 0.972 waist Weighted Avg. 0.824 0.029 0.827 0.824 0.825 0.979 === Confusion Matrix === a b c d e f g <-- classified as 715 17 14 1 11 36 26 | a = chest 30 644 62 3 14 11 51 | b = forearm 16 21 705 4 7 42 23 | c = head 1 9 14 694 58 17 24 | d = shin 12 14 33 42 637 44 35 | e = thigh 24 18 44 10 31 658 33 | f = upperarm 33 27 32 5 22 35 665 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4755 83.0713 % Incorrectly Classified Instances 969 16.9287 % Kappa statistic 0.8025 Mean absolute error 0.0871 Root mean squared error 0.1908 Relative absolute error 35.5458 % Root relative squared error 54.5214 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.858 0.027 0.843 0.858 0.851 0.987 chest 0.817 0.023 0.853 0.817 0.835 0.98 forearm 0.863 0.039 0.787 0.863 0.823 0.98 head 0.869 0.012 0.926 0.869 0.896 0.985 shin 0.79 0.027 0.831 0.79 0.81 0.973 thigh 0.819 0.029 0.827 0.819 0.823 0.978 upperarm 0.799 0.042 0.762 0.799 0.78 0.971 waist Weighted Avg. 0.831 0.028 0.833 0.831 0.831 0.979 === Confusion Matrix === a b c d e f g <-- classified as 703 14 21 2 21 28 30 | a = chest 25 666 53 10 10 10 41 | b = forearm 12 38 706 5 5 23 29 | c = head 6 5 12 710 40 22 22 | d = shin 17 16 27 26 646 37 49 | e = thigh 26 11 42 10 26 670 33 | f = upperarm 45 31 36 4 29 20 654 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4754 83.0538 % Incorrectly Classified Instances 970 16.9462 % Kappa statistic 0.8023 Mean absolute error 0.0876 Root mean squared error 0.1906 Relative absolute error 35.7566 % Root relative squared error 54.4633 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.871 0.025 0.853 0.871 0.862 0.987 chest 0.804 0.022 0.861 0.804 0.831 0.974 forearm 0.873 0.038 0.794 0.873 0.832 0.984 head 0.89 0.014 0.911 0.89 0.9 0.991 shin 0.753 0.023 0.846 0.753 0.797 0.974 thigh 0.8 0.034 0.798 0.8 0.799 0.976 upperarm 0.824 0.042 0.765 0.824 0.794 0.975 waist Weighted Avg. 0.831 0.028 0.833 0.831 0.831 0.98 === Confusion Matrix === a b c d e f g <-- classified as 713 20 13 0 9 33 31 | a = chest 28 655 54 5 9 12 52 | b = forearm 13 21 714 2 7 30 31 | c = head 2 4 9 727 39 22 14 | d = shin 26 14 24 41 616 52 45 | e = thigh 20 17 52 17 24 654 34 | f = upperarm 34 30 33 6 24 17 675 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4748 82.949 % Incorrectly Classified Instances 976 17.051 % Kappa statistic 0.8011 Mean absolute error 0.0864 Root mean squared error 0.1901 Relative absolute error 35.2758 % Root relative squared error 54.3336 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.85 0.029 0.832 0.85 0.841 0.985 chest 0.815 0.024 0.851 0.815 0.833 0.978 forearm 0.885 0.04 0.788 0.885 0.834 0.983 head 0.864 0.016 0.898 0.864 0.881 0.987 shin 0.8 0.022 0.859 0.8 0.828 0.977 thigh 0.782 0.029 0.816 0.782 0.799 0.974 upperarm 0.811 0.039 0.775 0.811 0.792 0.974 waist Weighted Avg. 0.829 0.028 0.831 0.829 0.83 0.98 === Confusion Matrix === a b c d e f g <-- classified as 696 18 17 1 11 39 37 | a = chest 23 664 57 10 11 5 45 | b = forearm 14 25 724 4 5 33 13 | c = head 6 7 11 706 45 11 31 | d = shin 28 11 20 35 654 33 37 | e = thigh 31 21 51 22 23 640 30 | f = upperarm 39 34 39 8 12 23 664 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 1 FOLD: 0 Correctly Classified Instances 4719 82.4279 % Incorrectly Classified Instances 1006 17.5721 % Kappa statistic 0.795 Mean absolute error 0.0875 Root mean squared error 0.1917 Relative absolute error 35.7296 % Root relative squared error 54.7745 % Total Number of Instances 5725 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.871 0.029 0.835 0.871 0.852 0.987 chest 0.808 0.021 0.863 0.808 0.834 0.979 forearm 0.845 0.04 0.777 0.845 0.81 0.977 head 0.872 0.014 0.913 0.872 0.892 0.99 shin 0.753 0.023 0.846 0.753 0.797 0.971 thigh 0.797 0.037 0.784 0.797 0.79 0.975 upperarm 0.825 0.041 0.77 0.825 0.797 0.976 waist Weighted Avg. 0.824 0.029 0.827 0.824 0.825 0.979 === Confusion Matrix === a b c d e f g <-- classified as 713 25 20 4 12 25 20 | a = chest 19 659 53 11 10 8 56 | b = forearm 21 29 691 4 7 38 28 | c = head 3 10 15 713 40 19 18 | d = shin 27 10 25 31 615 64 45 | e = thigh 27 15 53 12 24 652 35 | f = upperarm 44 16 32 6 19 26 676 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4744 82.8646 % Incorrectly Classified Instances 981 17.1354 % Kappa statistic 0.8001 Mean absolute error 0.087 Root mean squared error 0.1907 Relative absolute error 35.505 % Root relative squared error 54.498 % Total Number of Instances 5725 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.867 0.029 0.834 0.867 0.85 0.985 chest 0.81 0.024 0.846 0.81 0.828 0.977 forearm 0.852 0.036 0.797 0.852 0.824 0.98 head 0.881 0.014 0.91 0.881 0.896 0.99 shin 0.772 0.021 0.857 0.772 0.813 0.973 thigh 0.793 0.033 0.798 0.793 0.796 0.975 upperarm 0.824 0.041 0.769 0.824 0.796 0.972 waist Weighted Avg. 0.829 0.029 0.83 0.829 0.829 0.979 === Confusion Matrix === a b c d e f g <-- classified as 710 26 16 2 8 29 28 | a = chest 25 661 52 8 13 11 46 | b = forearm 18 23 697 4 7 34 35 | c = head 3 11 13 721 28 19 23 | d = shin 24 12 15 38 631 53 44 | e = thigh 32 20 49 13 28 649 27 | f = upperarm 39 28 32 6 21 18 675 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4709 82.2533 % Incorrectly Classified Instances 1016 17.7467 % Kappa statistic 0.793 Mean absolute error 0.0884 Root mean squared error 0.1931 Relative absolute error 36.0766 % Root relative squared error 55.1962 % Total Number of Instances 5725 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.835 0.026 0.843 0.835 0.839 0.982 chest 0.795 0.025 0.838 0.795 0.816 0.973 forearm 0.874 0.039 0.79 0.874 0.83 0.982 head 0.875 0.014 0.914 0.875 0.894 0.987 shin 0.756 0.025 0.834 0.756 0.793 0.972 thigh 0.808 0.033 0.804 0.808 0.806 0.978 upperarm 0.813 0.045 0.749 0.813 0.78 0.971 waist Weighted Avg. 0.823 0.03 0.825 0.823 0.823 0.978 === Confusion Matrix === a b c d e f g <-- classified as 684 22 26 1 17 35 34 | a = chest 33 648 55 7 8 13 51 | b = forearm 19 27 716 3 4 23 27 | c = head 8 4 9 716 39 15 27 | d = shin 18 19 27 38 618 46 51 | e = thigh 26 15 38 12 33 661 33 | f = upperarm 23 38 35 6 22 29 666 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4788 83.6332 % Incorrectly Classified Instances 937 16.3668 % Kappa statistic 0.8091 Mean absolute error 0.0865 Root mean squared error 0.1897 Relative absolute error 35.3222 % Root relative squared error 54.1977 % Total Number of Instances 5725 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.88 0.026 0.851 0.88 0.866 0.987 chest 0.802 0.02 0.871 0.802 0.835 0.978 forearm 0.858 0.039 0.788 0.858 0.822 0.982 head 0.892 0.013 0.922 0.892 0.907 0.99 shin 0.787 0.021 0.86 0.787 0.822 0.977 thigh 0.816 0.035 0.796 0.816 0.806 0.977 upperarm 0.817 0.038 0.782 0.817 0.799 0.972 waist Weighted Avg. 0.836 0.027 0.838 0.836 0.837 0.98 === Confusion Matrix === a b c d e f g <-- classified as 721 14 20 0 7 30 27 | a = chest 33 654 60 4 12 10 42 | b = forearm 14 24 703 3 4 40 31 | c = head 3 9 7 730 34 19 16 | d = shin 19 15 23 34 644 42 41 | e = thigh 27 12 41 14 26 667 30 | f = upperarm 30 23 38 7 22 30 669 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4739 82.7918 % Incorrectly Classified Instances 985 17.2082 % Kappa statistic 0.7992 Mean absolute error 0.0872 Root mean squared error 0.1909 Relative absolute error 35.6107 % Root relative squared error 54.543 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.874 0.03 0.828 0.874 0.85 0.987 chest 0.777 0.02 0.864 0.777 0.818 0.975 forearm 0.858 0.038 0.79 0.858 0.823 0.981 head 0.878 0.015 0.908 0.878 0.892 0.991 shin 0.796 0.025 0.842 0.796 0.818 0.977 thigh 0.782 0.03 0.812 0.782 0.797 0.973 upperarm 0.83 0.042 0.767 0.83 0.797 0.976 waist Weighted Avg. 0.828 0.029 0.83 0.828 0.828 0.98 === Confusion Matrix === a b c d e f g <-- classified as 716 20 13 4 11 29 26 | a = chest 39 633 69 5 15 5 49 | b = forearm 17 24 703 4 10 29 32 | c = head 5 9 7 717 47 12 20 | d = shin 23 9 17 35 651 44 39 | e = thigh 29 11 58 22 18 640 40 | f = upperarm 36 27 23 3 21 29 679 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4740 82.8092 % Incorrectly Classified Instances 984 17.1908 % Kappa statistic 0.7994 Mean absolute error 0.0871 Root mean squared error 0.1906 Relative absolute error 35.5685 % Root relative squared error 54.4723 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.857 0.024 0.854 0.857 0.856 0.986 chest 0.788 0.02 0.865 0.788 0.825 0.977 forearm 0.884 0.037 0.798 0.884 0.839 0.984 head 0.862 0.013 0.914 0.862 0.887 0.988 shin 0.768 0.027 0.825 0.768 0.795 0.973 thigh 0.813 0.034 0.797 0.813 0.805 0.976 upperarm 0.825 0.043 0.76 0.825 0.792 0.974 waist Weighted Avg. 0.828 0.029 0.831 0.828 0.828 0.98 === Confusion Matrix === a b c d e f g <-- classified as 702 18 19 1 23 28 28 | a = chest 35 642 55 4 9 16 54 | b = forearm 13 23 723 3 9 25 22 | c = head 4 8 10 704 45 26 20 | d = shin 15 10 21 42 628 51 51 | e = thigh 21 17 47 5 25 665 38 | f = upperarm 32 24 31 11 22 23 676 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4736 82.7393 % Incorrectly Classified Instances 988 17.2607 % Kappa statistic 0.7986 Mean absolute error 0.0878 Root mean squared error 0.1916 Relative absolute error 35.8361 % Root relative squared error 54.744 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.842 0.025 0.851 0.842 0.847 0.985 chest 0.839 0.026 0.843 0.839 0.841 0.98 forearm 0.863 0.031 0.824 0.863 0.843 0.983 head 0.867 0.014 0.909 0.867 0.887 0.988 shin 0.753 0.028 0.818 0.753 0.784 0.972 thigh 0.804 0.035 0.791 0.804 0.798 0.975 upperarm 0.823 0.042 0.765 0.823 0.793 0.973 waist Weighted Avg. 0.827 0.029 0.829 0.827 0.828 0.98 === Confusion Matrix === a b c d e f g <-- classified as 690 25 13 1 15 39 36 | a = chest 22 684 36 4 11 9 49 | b = forearm 14 28 706 2 3 37 28 | c = head 3 7 9 708 59 15 16 | d = shin 24 17 29 42 616 49 41 | e = thigh 25 18 36 18 26 658 37 | f = upperarm 33 32 28 4 23 25 674 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4740 82.8092 % Incorrectly Classified Instances 984 17.1908 % Kappa statistic 0.7994 Mean absolute error 0.0873 Root mean squared error 0.1917 Relative absolute error 35.6274 % Root relative squared error 54.7844 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.873 0.03 0.83 0.873 0.851 0.985 chest 0.804 0.024 0.848 0.804 0.825 0.977 forearm 0.856 0.038 0.791 0.856 0.822 0.982 head 0.871 0.014 0.91 0.871 0.891 0.989 shin 0.762 0.022 0.85 0.762 0.803 0.973 thigh 0.82 0.035 0.796 0.82 0.808 0.975 upperarm 0.811 0.038 0.783 0.811 0.797 0.975 waist Weighted Avg. 0.828 0.029 0.83 0.828 0.828 0.98 === Confusion Matrix === a b c d e f g <-- classified as 715 25 12 3 14 27 23 | a = chest 31 655 56 11 8 17 37 | b = forearm 21 26 700 6 7 38 20 | c = head 6 7 5 712 47 14 26 | d = shin 22 11 27 31 623 55 49 | e = thigh 28 12 46 15 17 671 29 | f = upperarm 38 36 39 4 17 21 664 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4739 82.7918 % Incorrectly Classified Instances 985 17.2082 % Kappa statistic 0.7992 Mean absolute error 0.0859 Root mean squared error 0.1893 Relative absolute error 35.0783 % Root relative squared error 54.1042 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.849 0.031 0.822 0.849 0.835 0.985 chest 0.802 0.022 0.857 0.802 0.829 0.977 forearm 0.888 0.044 0.769 0.888 0.824 0.984 head 0.864 0.011 0.93 0.864 0.896 0.988 shin 0.782 0.025 0.838 0.782 0.809 0.975 thigh 0.807 0.027 0.832 0.807 0.819 0.979 upperarm 0.803 0.04 0.769 0.803 0.786 0.972 waist Weighted Avg. 0.828 0.029 0.831 0.828 0.828 0.98 === Confusion Matrix === a b c d e f g <-- classified as 695 22 31 1 7 27 36 | a = chest 27 654 62 5 6 7 54 | b = forearm 15 25 726 0 7 25 20 | c = head 5 8 12 706 48 22 16 | d = shin 31 11 29 34 640 27 46 | e = thigh 23 8 56 10 35 660 26 | f = upperarm 49 35 28 3 21 25 658 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4728 82.5996 % Incorrectly Classified Instances 996 17.4004 % Kappa statistic 0.797 Mean absolute error 0.0863 Root mean squared error 0.1903 Relative absolute error 35.2587 % Root relative squared error 54.3902 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.884 0.025 0.855 0.884 0.869 0.987 chest 0.822 0.022 0.862 0.822 0.842 0.977 forearm 0.844 0.04 0.781 0.844 0.811 0.982 head 0.876 0.015 0.905 0.876 0.891 0.99 shin 0.764 0.023 0.844 0.764 0.802 0.976 thigh 0.79 0.038 0.778 0.79 0.784 0.974 upperarm 0.802 0.04 0.768 0.802 0.785 0.972 waist Weighted Avg. 0.826 0.029 0.828 0.826 0.826 0.98 === Confusion Matrix === a b c d e f g <-- classified as 725 16 17 2 8 31 21 | a = chest 27 670 46 4 7 9 52 | b = forearm 13 32 690 2 6 41 34 | c = head 1 1 10 716 42 23 24 | d = shin 21 9 31 51 624 45 36 | e = thigh 26 24 54 13 24 646 31 | f = upperarm 35 25 36 3 28 35 657 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 2 FOLD: 0 Correctly Classified Instances 4804 83.9127 % Incorrectly Classified Instances 921 16.0873 % Kappa statistic 0.8123 Mean absolute error 0.0857 Root mean squared error 0.1883 Relative absolute error 34.9953 % Root relative squared error 53.8165 % Total Number of Instances 5725 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.871 0.027 0.842 0.871 0.856 0.986 chest 0.808 0.022 0.858 0.808 0.832 0.976 forearm 0.884 0.036 0.805 0.884 0.843 0.983 head 0.871 0.011 0.928 0.871 0.899 0.989 shin 0.791 0.021 0.863 0.791 0.825 0.977 thigh 0.826 0.032 0.813 0.826 0.82 0.978 upperarm 0.823 0.039 0.78 0.823 0.801 0.973 waist Weighted Avg. 0.839 0.027 0.841 0.839 0.839 0.98 === Confusion Matrix === a b c d e f g <-- classified as 713 21 19 0 10 30 26 | a = chest 34 659 55 6 8 9 45 | b = forearm 15 20 723 4 6 27 23 | c = head 7 10 7 712 35 16 30 | d = shin 25 9 21 35 647 45 36 | e = thigh 23 25 36 5 23 676 30 | f = upperarm 30 24 37 5 21 28 674 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4722 82.4803 % Incorrectly Classified Instances 1003 17.5197 % Kappa statistic 0.7956 Mean absolute error 0.0865 Root mean squared error 0.1908 Relative absolute error 35.3222 % Root relative squared error 54.5328 % Total Number of Instances 5725 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.879 0.026 0.849 0.879 0.864 0.987 chest 0.81 0.025 0.844 0.81 0.827 0.976 forearm 0.858 0.041 0.776 0.858 0.815 0.98 head 0.864 0.015 0.906 0.864 0.885 0.99 shin 0.76 0.028 0.819 0.76 0.789 0.973 thigh 0.791 0.03 0.815 0.791 0.802 0.979 upperarm 0.811 0.039 0.775 0.811 0.792 0.973 waist Weighted Avg. 0.825 0.029 0.826 0.825 0.825 0.98 === Confusion Matrix === a b c d e f g <-- classified as 720 18 14 6 12 23 26 | a = chest 32 661 54 4 9 9 47 | b = forearm 15 29 703 0 7 40 25 | c = head 4 10 11 706 52 16 18 | d = shin 19 16 33 44 622 36 48 | e = thigh 22 13 56 14 37 646 29 | f = upperarm 36 36 35 5 20 23 664 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4726 82.5502 % Incorrectly Classified Instances 999 17.4498 % Kappa statistic 0.7964 Mean absolute error 0.0872 Root mean squared error 0.1914 Relative absolute error 35.6097 % Root relative squared error 54.6839 % Total Number of Instances 5725 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.866 0.028 0.836 0.866 0.851 0.985 chest 0.788 0.021 0.861 0.788 0.823 0.977 forearm 0.847 0.04 0.78 0.847 0.812 0.979 head 0.873 0.012 0.925 0.873 0.898 0.987 shin 0.778 0.024 0.842 0.778 0.809 0.975 thigh 0.801 0.033 0.802 0.801 0.801 0.977 upperarm 0.827 0.045 0.754 0.827 0.789 0.973 waist Weighted Avg. 0.826 0.029 0.828 0.826 0.826 0.979 === Confusion Matrix === a b c d e f g <-- classified as 709 16 15 1 18 29 31 | a = chest 27 642 54 6 12 10 64 | b = forearm 17 32 694 2 8 40 26 | c = head 6 8 12 713 41 19 18 | d = shin 29 5 20 34 636 44 50 | e = thigh 27 14 56 11 23 655 32 | f = upperarm 33 29 39 4 17 20 677 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4714 82.3406 % Incorrectly Classified Instances 1011 17.6594 % Kappa statistic 0.794 Mean absolute error 0.0874 Root mean squared error 0.1913 Relative absolute error 35.6853 % Root relative squared error 54.6824 % Total Number of Instances 5725 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.86 0.027 0.843 0.86 0.851 0.986 chest 0.823 0.022 0.862 0.823 0.842 0.979 forearm 0.855 0.04 0.78 0.855 0.816 0.978 head 0.87 0.014 0.91 0.87 0.89 0.991 shin 0.762 0.025 0.834 0.762 0.796 0.973 thigh 0.776 0.036 0.783 0.776 0.78 0.971 upperarm 0.818 0.042 0.765 0.818 0.791 0.975 waist Weighted Avg. 0.823 0.029 0.825 0.823 0.824 0.979 === Confusion Matrix === a b c d e f g <-- classified as 704 23 11 1 11 33 36 | a = chest 24 671 53 7 7 14 39 | b = forearm 19 22 700 4 5 34 35 | c = head 1 13 11 711 43 18 20 | d = shin 28 8 25 44 623 49 41 | e = thigh 29 15 57 9 38 635 35 | f = upperarm 30 26 40 5 20 28 670 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4751 83.0014 % Incorrectly Classified Instances 973 16.9986 % Kappa statistic 0.8017 Mean absolute error 0.0858 Root mean squared error 0.1893 Relative absolute error 35.0328 % Root relative squared error 54.0933 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.853 0.027 0.842 0.853 0.848 0.987 chest 0.794 0.023 0.851 0.794 0.822 0.978 forearm 0.861 0.04 0.78 0.861 0.819 0.983 head 0.885 0.013 0.92 0.885 0.902 0.99 shin 0.793 0.023 0.854 0.793 0.822 0.979 thigh 0.807 0.034 0.797 0.807 0.802 0.977 upperarm 0.817 0.039 0.78 0.817 0.798 0.973 waist Weighted Avg. 0.83 0.028 0.832 0.83 0.83 0.981 === Confusion Matrix === a b c d e f g <-- classified as 699 21 25 3 12 34 25 | a = chest 29 647 57 2 11 13 56 | b = forearm 16 33 704 3 10 27 25 | c = head 6 4 11 724 28 22 23 | d = shin 16 15 21 36 648 49 32 | e = thigh 25 14 50 18 23 660 28 | f = upperarm 39 26 34 1 27 23 669 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4775 83.4207 % Incorrectly Classified Instances 949 16.5793 % Kappa statistic 0.8066 Mean absolute error 0.0849 Root mean squared error 0.1886 Relative absolute error 34.679 % Root relative squared error 53.8959 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.858 0.028 0.839 0.858 0.849 0.986 chest 0.805 0.023 0.851 0.805 0.827 0.979 forearm 0.902 0.04 0.791 0.902 0.843 0.982 head 0.877 0.011 0.929 0.877 0.902 0.988 shin 0.77 0.026 0.831 0.77 0.799 0.974 thigh 0.804 0.03 0.819 0.804 0.812 0.976 upperarm 0.823 0.036 0.793 0.823 0.808 0.976 waist Weighted Avg. 0.834 0.028 0.836 0.834 0.834 0.98 === Confusion Matrix === a b c d e f g <-- classified as 703 17 24 2 15 25 33 | a = chest 34 656 54 4 9 12 46 | b = forearm 20 10 738 1 6 22 21 | c = head 4 15 13 717 42 15 12 | d = shin 24 16 26 36 629 52 34 | e = thigh 19 20 52 11 28 658 30 | f = upperarm 34 37 26 1 28 19 674 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4697 82.058 % Incorrectly Classified Instances 1027 17.942 % Kappa statistic 0.7907 Mean absolute error 0.0895 Root mean squared error 0.1944 Relative absolute error 36.5421 % Root relative squared error 55.5629 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.874 0.029 0.836 0.874 0.855 0.987 chest 0.801 0.022 0.86 0.801 0.83 0.979 forearm 0.85 0.037 0.792 0.85 0.82 0.979 head 0.868 0.018 0.891 0.868 0.879 0.989 shin 0.744 0.022 0.847 0.744 0.792 0.972 thigh 0.814 0.036 0.79 0.814 0.802 0.976 upperarm 0.792 0.046 0.743 0.792 0.767 0.969 waist Weighted Avg. 0.821 0.03 0.823 0.821 0.821 0.979 === Confusion Matrix === a b c d e f g <-- classified as 716 23 21 1 6 28 24 | a = chest 30 653 54 7 11 10 50 | b = forearm 12 25 695 8 9 35 34 | c = head 5 7 10 710 44 22 20 | d = shin 19 12 28 40 608 52 58 | e = thigh 26 11 39 20 18 666 38 | f = upperarm 48 28 31 11 22 30 649 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4718 82.4249 % Incorrectly Classified Instances 1006 17.5751 % Kappa statistic 0.795 Mean absolute error 0.0876 Root mean squared error 0.1915 Relative absolute error 35.7886 % Root relative squared error 54.7388 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.849 0.028 0.838 0.849 0.843 0.983 chest 0.796 0.025 0.842 0.796 0.818 0.978 forearm 0.841 0.037 0.793 0.841 0.816 0.981 head 0.877 0.014 0.911 0.877 0.893 0.99 shin 0.787 0.025 0.838 0.787 0.812 0.975 thigh 0.813 0.034 0.799 0.813 0.806 0.976 upperarm 0.807 0.042 0.76 0.807 0.783 0.97 waist Weighted Avg. 0.824 0.029 0.826 0.824 0.825 0.979 === Confusion Matrix === a b c d e f g <-- classified as 696 23 25 2 12 28 34 | a = chest 33 649 63 4 14 6 46 | b = forearm 14 29 688 3 9 52 23 | c = head 3 8 7 717 39 20 24 | d = shin 21 19 15 32 643 39 48 | e = thigh 22 15 39 20 24 665 33 | f = upperarm 42 28 31 9 26 22 660 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4755 83.0713 % Incorrectly Classified Instances 969 16.9287 % Kappa statistic 0.8025 Mean absolute error 0.0866 Root mean squared error 0.1895 Relative absolute error 35.3567 % Root relative squared error 54.1641 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.855 0.024 0.855 0.855 0.855 0.987 chest 0.811 0.024 0.849 0.811 0.829 0.979 forearm 0.856 0.035 0.801 0.856 0.827 0.984 head 0.868 0.013 0.92 0.868 0.893 0.989 shin 0.782 0.022 0.858 0.782 0.818 0.973 thigh 0.808 0.035 0.793 0.808 0.8 0.974 upperarm 0.835 0.044 0.759 0.835 0.795 0.977 waist Weighted Avg. 0.831 0.028 0.833 0.831 0.831 0.981 === Confusion Matrix === a b c d e f g <-- classified as 700 27 19 3 16 23 31 | a = chest 24 661 50 9 9 12 50 | b = forearm 14 31 700 3 3 42 25 | c = head 6 4 10 709 38 27 23 | d = shin 19 12 24 28 640 50 45 | e = thigh 23 20 44 11 16 661 43 | f = upperarm 33 24 27 8 24 19 684 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4745 82.8966 % Incorrectly Classified Instances 979 17.1034 % Kappa statistic 0.8005 Mean absolute error 0.0879 Root mean squared error 0.1917 Relative absolute error 35.8885 % Root relative squared error 54.7926 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.894 0.028 0.841 0.894 0.867 0.988 chest 0.78 0.026 0.831 0.78 0.805 0.972 forearm 0.869 0.041 0.78 0.869 0.822 0.982 head 0.887 0.013 0.92 0.887 0.903 0.989 shin 0.77 0.023 0.85 0.77 0.808 0.971 thigh 0.797 0.032 0.806 0.797 0.801 0.975 upperarm 0.805 0.037 0.785 0.805 0.794 0.975 waist Weighted Avg. 0.829 0.029 0.831 0.829 0.829 0.979 === Confusion Matrix === a b c d e f g <-- classified as 732 25 14 2 12 22 12 | a = chest 39 636 60 8 8 19 45 | b = forearm 14 30 711 4 5 25 29 | c = head 3 8 11 725 39 16 15 | d = shin 24 11 25 32 630 52 44 | e = thigh 20 21 58 10 21 652 36 | f = upperarm 38 34 32 7 26 23 659 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 3 FOLD: 0 Correctly Classified Instances 4752 83.0044 % Incorrectly Classified Instances 973 16.9956 % Kappa statistic 0.8017 Mean absolute error 0.0872 Root mean squared error 0.1904 Relative absolute error 35.6048 % Root relative squared error 54.4162 % Total Number of Instances 5725 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.869 0.026 0.849 0.869 0.859 0.987 chest 0.823 0.02 0.871 0.823 0.847 0.98 forearm 0.867 0.041 0.78 0.867 0.821 0.982 head 0.864 0.013 0.918 0.864 0.89 0.989 shin 0.743 0.025 0.829 0.743 0.784 0.971 thigh 0.812 0.035 0.794 0.812 0.803 0.977 upperarm 0.832 0.038 0.785 0.832 0.807 0.975 waist Weighted Avg. 0.83 0.028 0.832 0.83 0.83 0.98 === Confusion Matrix === a b c d e f g <-- classified as 712 18 19 2 14 29 25 | a = chest 20 671 55 5 14 7 43 | b = forearm 15 25 710 0 5 38 26 | c = head 7 10 13 706 39 22 20 | d = shin 26 14 32 38 608 54 46 | e = thigh 23 11 47 13 33 664 27 | f = upperarm 36 21 34 5 20 22 681 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4735 82.7074 % Incorrectly Classified Instances 990 17.2926 % Kappa statistic 0.7982 Mean absolute error 0.0869 Root mean squared error 0.1904 Relative absolute error 35.4972 % Root relative squared error 54.4233 % Total Number of Instances 5725 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.896 0.025 0.855 0.896 0.875 0.989 chest 0.775 0.022 0.856 0.775 0.814 0.977 forearm 0.867 0.039 0.79 0.867 0.827 0.982 head 0.857 0.013 0.916 0.857 0.886 0.988 shin 0.757 0.025 0.832 0.757 0.793 0.974 thigh 0.811 0.031 0.813 0.811 0.812 0.978 upperarm 0.827 0.047 0.747 0.827 0.785 0.976 waist Weighted Avg. 0.827 0.029 0.83 0.827 0.827 0.981 === Confusion Matrix === a b c d e f g <-- classified as 734 13 14 1 11 20 26 | a = chest 33 632 68 8 9 11 54 | b = forearm 12 25 710 4 4 31 33 | c = head 6 11 12 700 58 11 19 | d = shin 17 19 27 32 619 49 55 | e = thigh 22 14 40 14 23 663 42 | f = upperarm 34 24 28 5 20 31 677 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4706 82.2009 % Incorrectly Classified Instances 1019 17.7991 % Kappa statistic 0.7923 Mean absolute error 0.088 Root mean squared error 0.1921 Relative absolute error 35.9164 % Root relative squared error 54.894 % Total Number of Instances 5725 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.867 0.029 0.833 0.867 0.85 0.985 chest 0.79 0.025 0.842 0.79 0.815 0.977 forearm 0.84 0.042 0.771 0.84 0.804 0.979 head 0.873 0.014 0.913 0.873 0.892 0.989 shin 0.775 0.021 0.861 0.775 0.816 0.975 thigh 0.789 0.033 0.8 0.789 0.794 0.973 upperarm 0.821 0.045 0.753 0.821 0.785 0.975 waist Weighted Avg. 0.822 0.03 0.825 0.822 0.822 0.979 === Confusion Matrix === a b c d e f g <-- classified as 710 20 22 1 10 29 27 | a = chest 27 644 63 5 13 10 53 | b = forearm 16 34 688 6 7 38 30 | c = head 8 6 16 713 28 20 26 | d = shin 21 12 22 39 634 42 48 | e = thigh 32 16 50 15 23 645 37 | f = upperarm 38 33 31 2 21 22 672 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4760 83.1441 % Incorrectly Classified Instances 965 16.8559 % Kappa statistic 0.8033 Mean absolute error 0.0852 Root mean squared error 0.1881 Relative absolute error 34.7807 % Root relative squared error 53.7447 % Total Number of Instances 5725 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.876 0.032 0.82 0.876 0.847 0.986 chest 0.801 0.023 0.855 0.801 0.827 0.977 forearm 0.868 0.036 0.799 0.868 0.832 0.981 head 0.895 0.013 0.918 0.895 0.906 0.989 shin 0.77 0.02 0.863 0.77 0.814 0.974 thigh 0.787 0.036 0.784 0.787 0.786 0.975 upperarm 0.823 0.036 0.794 0.823 0.808 0.976 waist Weighted Avg. 0.831 0.028 0.833 0.831 0.831 0.98 === Confusion Matrix === a b c d e f g <-- classified as 718 17 19 1 11 31 23 | a = chest 40 654 47 1 10 10 54 | b = forearm 19 21 710 3 3 43 19 | c = head 3 11 8 731 30 22 12 | d = shin 23 17 22 38 629 46 42 | e = thigh 41 19 51 16 22 644 25 | f = upperarm 32 26 32 6 24 25 674 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4716 82.3899 % Incorrectly Classified Instances 1008 17.6101 % Kappa statistic 0.7945 Mean absolute error 0.0891 Root mean squared error 0.1936 Relative absolute error 36.3762 % Root relative squared error 55.3171 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.877 0.024 0.859 0.877 0.868 0.986 chest 0.789 0.027 0.829 0.789 0.809 0.975 forearm 0.85 0.044 0.763 0.85 0.804 0.98 head 0.879 0.016 0.903 0.879 0.891 0.99 shin 0.761 0.023 0.844 0.761 0.801 0.973 thigh 0.802 0.033 0.802 0.802 0.802 0.977 upperarm 0.809 0.038 0.78 0.809 0.794 0.969 waist Weighted Avg. 0.824 0.029 0.826 0.824 0.824 0.979 === Confusion Matrix === a b c d e f g <-- classified as 718 18 20 3 14 21 25 | a = chest 26 644 67 8 16 9 46 | b = forearm 19 31 695 3 6 31 33 | c = head 5 11 10 719 40 17 16 | d = shin 14 16 19 42 622 62 42 | e = thigh 16 26 60 15 20 656 25 | f = upperarm 38 31 40 6 19 22 662 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4747 82.9315 % Incorrectly Classified Instances 977 17.0685 % Kappa statistic 0.8009 Mean absolute error 0.0869 Root mean squared error 0.1907 Relative absolute error 35.467 % Root relative squared error 54.502 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.88 0.026 0.849 0.88 0.865 0.986 chest 0.794 0.023 0.854 0.794 0.823 0.977 forearm 0.873 0.043 0.771 0.873 0.819 0.982 head 0.873 0.012 0.925 0.873 0.898 0.987 shin 0.763 0.023 0.844 0.763 0.801 0.972 thigh 0.809 0.033 0.805 0.809 0.807 0.976 upperarm 0.813 0.039 0.775 0.813 0.794 0.974 waist Weighted Avg. 0.829 0.028 0.832 0.829 0.83 0.979 === Confusion Matrix === a b c d e f g <-- classified as 721 15 13 1 10 30 29 | a = chest 21 647 67 8 13 9 50 | b = forearm 12 27 714 2 5 32 26 | c = head 4 9 10 714 43 20 18 | d = shin 30 12 37 32 623 45 38 | e = thigh 21 17 48 9 29 662 32 | f = upperarm 40 31 37 6 15 24 666 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4705 82.1978 % Incorrectly Classified Instances 1019 17.8022 % Kappa statistic 0.7923 Mean absolute error 0.0868 Root mean squared error 0.1906 Relative absolute error 35.4295 % Root relative squared error 54.4654 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.847 0.025 0.847 0.847 0.847 0.986 chest 0.8 0.021 0.862 0.8 0.83 0.979 forearm 0.852 0.039 0.787 0.852 0.818 0.982 head 0.857 0.014 0.91 0.857 0.883 0.99 shin 0.767 0.027 0.826 0.767 0.796 0.974 thigh 0.814 0.038 0.783 0.814 0.798 0.976 upperarm 0.816 0.044 0.757 0.816 0.785 0.974 waist Weighted Avg. 0.822 0.03 0.825 0.822 0.822 0.98 === Confusion Matrix === a b c d e f g <-- classified as 694 24 25 3 11 32 30 | a = chest 24 652 52 6 8 15 58 | b = forearm 14 22 697 3 8 44 30 | c = head 3 8 8 701 60 21 17 | d = shin 22 9 23 39 627 51 46 | e = thigh 22 12 49 13 22 666 34 | f = upperarm 40 29 32 5 23 22 668 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4716 82.3899 % Incorrectly Classified Instances 1008 17.6101 % Kappa statistic 0.7945 Mean absolute error 0.0874 Root mean squared error 0.192 Relative absolute error 35.683 % Root relative squared error 54.8549 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.861 0.023 0.863 0.861 0.862 0.987 chest 0.788 0.025 0.841 0.788 0.814 0.975 forearm 0.858 0.04 0.783 0.858 0.819 0.98 head 0.862 0.018 0.889 0.862 0.875 0.988 shin 0.759 0.028 0.821 0.759 0.789 0.973 thigh 0.823 0.034 0.799 0.823 0.811 0.98 upperarm 0.817 0.038 0.781 0.817 0.798 0.973 waist Weighted Avg. 0.824 0.029 0.825 0.824 0.824 0.979 === Confusion Matrix === a b c d e f g <-- classified as 705 24 16 1 9 37 27 | a = chest 25 642 64 8 12 7 57 | b = forearm 16 24 702 7 7 41 21 | c = head 3 10 10 705 53 14 23 | d = shin 21 19 24 48 621 47 38 | e = thigh 22 17 39 17 28 672 22 | f = upperarm 25 27 42 7 26 23 669 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4760 83.1586 % Incorrectly Classified Instances 964 16.8414 % Kappa statistic 0.8035 Mean absolute error 0.0856 Root mean squared error 0.1894 Relative absolute error 34.9721 % Root relative squared error 54.1267 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.851 0.027 0.841 0.851 0.846 0.984 chest 0.801 0.023 0.852 0.801 0.826 0.977 forearm 0.875 0.039 0.788 0.875 0.829 0.983 head 0.88 0.011 0.928 0.88 0.903 0.991 shin 0.809 0.023 0.852 0.809 0.83 0.978 thigh 0.789 0.031 0.81 0.789 0.799 0.975 upperarm 0.816 0.042 0.766 0.816 0.79 0.97 waist Weighted Avg. 0.832 0.028 0.834 0.832 0.832 0.98 === Confusion Matrix === a b c d e f g <-- classified as 697 25 19 3 9 35 31 | a = chest 35 653 62 10 8 10 37 | b = forearm 20 18 716 2 7 28 27 | c = head 2 5 10 719 40 16 25 | d = shin 17 12 20 29 662 33 45 | e = thigh 25 18 60 6 25 645 39 | f = upperarm 33 35 22 6 26 29 668 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4732 82.6695 % Incorrectly Classified Instances 992 17.3305 % Kappa statistic 0.7978 Mean absolute error 0.0867 Root mean squared error 0.1903 Relative absolute error 35.3928 % Root relative squared error 54.3758 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.834 0.031 0.816 0.834 0.825 0.982 chest 0.817 0.021 0.866 0.817 0.841 0.977 forearm 0.874 0.039 0.787 0.874 0.829 0.982 head 0.873 0.013 0.919 0.873 0.895 0.99 shin 0.789 0.025 0.842 0.789 0.814 0.977 thigh 0.78 0.031 0.809 0.78 0.794 0.973 upperarm 0.821 0.042 0.765 0.821 0.792 0.975 waist Weighted Avg. 0.827 0.029 0.829 0.827 0.827 0.979 === Confusion Matrix === a b c d e f g <-- classified as 683 25 26 0 14 36 35 | a = chest 35 666 43 3 10 13 45 | b = forearm 17 28 715 5 7 24 22 | c = head 7 8 10 713 44 14 21 | d = shin 24 10 20 37 645 43 39 | e = thigh 28 12 57 10 28 638 45 | f = upperarm 43 20 37 8 18 21 672 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 4 FOLD: 0 Correctly Classified Instances 4704 82.1659 % Incorrectly Classified Instances 1021 17.8341 % Kappa statistic 0.7919 Mean absolute error 0.0878 Root mean squared error 0.1931 Relative absolute error 35.8471 % Root relative squared error 55.1971 % Total Number of Instances 5725 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.851 0.026 0.845 0.851 0.848 0.985 chest 0.802 0.024 0.849 0.802 0.825 0.976 forearm 0.857 0.039 0.786 0.857 0.82 0.981 head 0.858 0.012 0.924 0.858 0.89 0.989 shin 0.76 0.024 0.841 0.76 0.798 0.971 thigh 0.792 0.038 0.778 0.792 0.785 0.972 upperarm 0.83 0.046 0.751 0.83 0.789 0.973 waist Weighted Avg. 0.822 0.03 0.825 0.822 0.822 0.978 === Confusion Matrix === a b c d e f g <-- classified as 697 17 18 3 13 41 30 | a = chest 31 654 54 6 9 10 51 | b = forearm 14 34 702 2 4 35 28 | c = head 6 5 14 701 47 18 26 | d = shin 18 16 30 29 622 51 52 | e = thigh 25 14 51 12 30 648 38 | f = upperarm 34 30 24 6 15 30 680 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4759 83.1266 % Incorrectly Classified Instances 966 16.8734 % Kappa statistic 0.8031 Mean absolute error 0.0878 Root mean squared error 0.1913 Relative absolute error 35.8329 % Root relative squared error 54.6688 % Total Number of Instances 5725 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.855 0.027 0.84 0.855 0.847 0.985 chest 0.817 0.021 0.864 0.817 0.84 0.978 forearm 0.866 0.041 0.778 0.866 0.82 0.979 head 0.874 0.015 0.905 0.874 0.889 0.987 shin 0.792 0.022 0.858 0.792 0.824 0.978 thigh 0.8 0.031 0.811 0.8 0.805 0.974 upperarm 0.816 0.039 0.777 0.816 0.796 0.974 waist Weighted Avg. 0.831 0.028 0.833 0.831 0.832 0.979 === Confusion Matrix === a b c d e f g <-- classified as 700 21 28 1 10 24 35 | a = chest 27 666 58 9 7 12 36 | b = forearm 11 21 709 3 8 36 31 | c = head 6 9 9 714 46 16 17 | d = shin 24 8 16 47 648 41 34 | e = thigh 24 12 57 12 20 654 39 | f = upperarm 41 34 34 3 16 23 668 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4728 82.5852 % Incorrectly Classified Instances 997 17.4148 % Kappa statistic 0.7968 Mean absolute error 0.0865 Root mean squared error 0.1903 Relative absolute error 35.3342 % Root relative squared error 54.3874 % Total Number of Instances 5725 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.866 0.025 0.852 0.866 0.859 0.988 chest 0.803 0.026 0.839 0.803 0.82 0.979 forearm 0.857 0.036 0.798 0.857 0.826 0.982 head 0.875 0.014 0.91 0.875 0.892 0.986 shin 0.771 0.025 0.838 0.771 0.803 0.976 thigh 0.801 0.036 0.786 0.801 0.793 0.977 upperarm 0.808 0.041 0.769 0.808 0.788 0.971 waist Weighted Avg. 0.826 0.029 0.827 0.826 0.826 0.98 === Confusion Matrix === a b c d e f g <-- classified as 709 20 18 1 13 29 29 | a = chest 25 655 57 5 8 14 52 | b = forearm 9 32 702 3 12 34 27 | c = head 6 7 7 715 39 20 23 | d = shin 27 12 22 37 630 50 39 | e = thigh 23 19 43 18 31 655 29 | f = upperarm 33 36 31 7 19 31 662 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4744 82.8646 % Incorrectly Classified Instances 981 17.1354 % Kappa statistic 0.8001 Mean absolute error 0.0877 Root mean squared error 0.1917 Relative absolute error 35.8149 % Root relative squared error 54.7949 % Total Number of Instances 5725 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.853 0.024 0.856 0.853 0.855 0.984 chest 0.793 0.018 0.879 0.793 0.834 0.976 forearm 0.875 0.042 0.777 0.875 0.823 0.979 head 0.859 0.013 0.915 0.859 0.887 0.988 shin 0.767 0.027 0.826 0.767 0.796 0.974 thigh 0.802 0.033 0.803 0.802 0.802 0.975 upperarm 0.85 0.043 0.768 0.85 0.807 0.976 waist Weighted Avg. 0.829 0.029 0.832 0.829 0.829 0.979 === Confusion Matrix === a b c d e f g <-- classified as 699 20 24 0 13 32 31 | a = chest 32 647 46 5 18 11 57 | b = forearm 14 18 716 4 7 29 30 | c = head 7 5 12 703 51 16 24 | d = shin 18 14 26 44 627 50 38 | e = thigh 21 12 66 10 23 656 30 | f = upperarm 26 20 32 2 20 23 696 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4755 83.0713 % Incorrectly Classified Instances 969 16.9287 % Kappa statistic 0.8025 Mean absolute error 0.0859 Root mean squared error 0.1889 Relative absolute error 35.0773 % Root relative squared error 53.9754 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.872 0.027 0.843 0.872 0.857 0.987 chest 0.795 0.021 0.865 0.795 0.829 0.979 forearm 0.848 0.038 0.788 0.848 0.817 0.982 head 0.885 0.015 0.91 0.885 0.897 0.99 shin 0.765 0.029 0.815 0.765 0.789 0.971 thigh 0.812 0.028 0.827 0.812 0.819 0.978 upperarm 0.838 0.04 0.779 0.838 0.807 0.979 waist Weighted Avg. 0.831 0.028 0.832 0.831 0.831 0.981 === Confusion Matrix === a b c d e f g <-- classified as 714 19 17 4 18 24 23 | a = chest 28 648 67 3 9 11 49 | b = forearm 17 33 694 6 5 35 28 | c = head 3 2 9 724 52 14 14 | d = shin 25 15 28 39 625 40 45 | e = thigh 25 15 35 14 29 664 36 | f = upperarm 35 17 31 6 29 15 686 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4798 83.8225 % Incorrectly Classified Instances 926 16.1775 % Kappa statistic 0.8113 Mean absolute error 0.0848 Root mean squared error 0.1867 Relative absolute error 34.6205 % Root relative squared error 53.3637 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.884 0.025 0.856 0.884 0.87 0.988 chest 0.81 0.023 0.852 0.81 0.83 0.977 forearm 0.853 0.035 0.804 0.853 0.828 0.982 head 0.867 0.014 0.91 0.867 0.888 0.989 shin 0.796 0.021 0.866 0.796 0.829 0.98 thigh 0.822 0.034 0.803 0.822 0.812 0.98 upperarm 0.836 0.037 0.789 0.836 0.812 0.979 waist Weighted Avg. 0.838 0.027 0.84 0.838 0.838 0.982 === Confusion Matrix === a b c d e f g <-- classified as 724 23 12 4 7 25 24 | a = chest 21 660 58 6 13 11 46 | b = forearm 23 34 698 2 8 25 28 | c = head 4 12 10 709 33 28 22 | d = shin 11 8 16 41 650 55 36 | e = thigh 21 18 43 10 27 672 27 | f = upperarm 42 20 31 7 13 21 685 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4686 81.8658 % Incorrectly Classified Instances 1038 18.1342 % Kappa statistic 0.7884 Mean absolute error 0.0875 Root mean squared error 0.1922 Relative absolute error 35.7281 % Root relative squared error 54.9196 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.85 0.027 0.84 0.85 0.845 0.986 chest 0.774 0.024 0.841 0.774 0.806 0.974 forearm 0.866 0.041 0.78 0.866 0.82 0.983 head 0.879 0.015 0.908 0.879 0.893 0.99 shin 0.752 0.023 0.845 0.752 0.796 0.974 thigh 0.819 0.038 0.782 0.819 0.8 0.979 upperarm 0.791 0.043 0.752 0.791 0.771 0.967 waist Weighted Avg. 0.819 0.03 0.821 0.819 0.819 0.979 === Confusion Matrix === a b c d e f g <-- classified as 697 21 19 1 17 33 32 | a = chest 30 631 64 8 11 20 51 | b = forearm 15 29 708 2 2 34 28 | c = head 6 11 9 719 43 17 13 | d = shin 21 17 24 42 615 49 50 | e = thigh 22 9 49 14 15 669 39 | f = upperarm 39 32 35 6 25 34 647 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4719 82.4423 % Incorrectly Classified Instances 1005 17.5577 % Kappa statistic 0.7952 Mean absolute error 0.0877 Root mean squared error 0.192 Relative absolute error 35.802 % Root relative squared error 54.876 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.879 0.027 0.845 0.879 0.862 0.986 chest 0.809 0.024 0.85 0.809 0.829 0.978 forearm 0.859 0.038 0.791 0.859 0.824 0.981 head 0.857 0.014 0.911 0.857 0.883 0.99 shin 0.762 0.025 0.833 0.762 0.796 0.972 thigh 0.8 0.034 0.799 0.8 0.799 0.975 upperarm 0.806 0.043 0.756 0.806 0.78 0.971 waist Weighted Avg. 0.824 0.029 0.826 0.824 0.825 0.979 === Confusion Matrix === a b c d e f g <-- classified as 720 20 20 1 7 28 23 | a = chest 30 659 48 6 10 11 51 | b = forearm 19 23 703 5 7 34 27 | c = head 4 16 8 700 47 20 22 | d = shin 15 14 27 35 623 49 55 | e = thigh 21 17 47 13 31 654 35 | f = upperarm 43 26 36 8 23 23 660 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4755 83.0713 % Incorrectly Classified Instances 969 16.9287 % Kappa statistic 0.8025 Mean absolute error 0.0865 Root mean squared error 0.1897 Relative absolute error 35.3145 % Root relative squared error 54.2016 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.858 0.027 0.844 0.858 0.851 0.985 chest 0.8 0.024 0.849 0.8 0.824 0.975 forearm 0.879 0.036 0.804 0.879 0.84 0.984 head 0.886 0.01 0.934 0.886 0.91 0.991 shin 0.77 0.028 0.82 0.77 0.794 0.976 thigh 0.815 0.032 0.808 0.815 0.811 0.977 upperarm 0.806 0.041 0.767 0.806 0.786 0.972 waist Weighted Avg. 0.831 0.028 0.832 0.831 0.831 0.98 === Confusion Matrix === a b c d e f g <-- classified as 703 28 12 1 11 25 39 | a = chest 34 652 53 5 16 14 41 | b = forearm 14 21 719 1 3 38 22 | c = head 3 3 6 724 49 14 18 | d = shin 29 12 30 27 630 41 49 | e = thigh 25 16 34 13 32 667 31 | f = upperarm 25 36 40 4 27 27 660 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4707 82.2327 % Incorrectly Classified Instances 1017 17.7673 % Kappa statistic 0.7927 Mean absolute error 0.0876 Root mean squared error 0.192 Relative absolute error 35.7762 % Root relative squared error 54.8743 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.873 0.029 0.835 0.873 0.854 0.986 chest 0.789 0.024 0.845 0.789 0.816 0.977 forearm 0.886 0.042 0.779 0.886 0.829 0.983 head 0.859 0.013 0.915 0.859 0.886 0.989 shin 0.748 0.025 0.834 0.748 0.789 0.971 thigh 0.793 0.035 0.791 0.793 0.792 0.973 upperarm 0.807 0.04 0.773 0.807 0.79 0.975 waist Weighted Avg. 0.822 0.03 0.825 0.822 0.822 0.979 === Confusion Matrix === a b c d e f g <-- classified as 715 22 21 1 15 23 22 | a = chest 34 643 60 5 11 8 54 | b = forearm 11 15 725 2 5 36 24 | c = head 1 16 13 702 45 22 18 | d = shin 27 12 30 42 612 50 45 | e = thigh 33 19 48 11 27 649 31 | f = upperarm 35 34 34 4 19 32 661 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 5 FOLD: 0 Correctly Classified Instances 4697 82.0437 % Incorrectly Classified Instances 1028 17.9563 % Kappa statistic 0.7905 Mean absolute error 0.0886 Root mean squared error 0.193 Relative absolute error 36.1789 % Root relative squared error 55.1631 % Total Number of Instances 5725 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.848 0.028 0.836 0.848 0.842 0.984 chest 0.8 0.024 0.845 0.8 0.822 0.977 forearm 0.859 0.038 0.792 0.859 0.824 0.981 head 0.864 0.014 0.911 0.864 0.887 0.99 shin 0.765 0.025 0.835 0.765 0.798 0.973 thigh 0.792 0.035 0.788 0.792 0.79 0.973 upperarm 0.814 0.045 0.752 0.814 0.782 0.972 waist Weighted Avg. 0.82 0.03 0.823 0.82 0.821 0.979 === Confusion Matrix === a b c d e f g <-- classified as 695 17 24 1 11 42 30 | a = chest 25 652 54 3 13 10 58 | b = forearm 12 21 703 3 13 33 33 | c = head 2 10 10 707 47 21 21 | d = shin 21 24 24 39 626 40 44 | e = thigh 31 21 48 15 21 647 34 | f = upperarm 45 27 25 8 19 28 667 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4773 83.3712 % Incorrectly Classified Instances 952 16.6288 % Kappa statistic 0.806 Mean absolute error 0.0865 Root mean squared error 0.1893 Relative absolute error 35.3061 % Root relative squared error 54.0904 % Total Number of Instances 5725 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.861 0.03 0.826 0.861 0.843 0.986 chest 0.798 0.02 0.867 0.798 0.831 0.978 forearm 0.864 0.038 0.791 0.864 0.826 0.983 head 0.889 0.011 0.932 0.889 0.91 0.991 shin 0.771 0.019 0.87 0.771 0.818 0.974 thigh 0.822 0.033 0.804 0.822 0.813 0.976 upperarm 0.832 0.042 0.769 0.832 0.799 0.975 waist Weighted Avg. 0.834 0.028 0.837 0.834 0.834 0.98 === Confusion Matrix === a b c d e f g <-- classified as 705 14 23 1 14 33 29 | a = chest 35 650 56 4 7 8 55 | b = forearm 21 29 708 1 4 37 19 | c = head 2 4 7 726 37 15 26 | d = shin 25 9 27 29 631 51 46 | e = thigh 32 14 40 15 15 672 30 | f = upperarm 34 30 34 3 17 20 681 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4734 82.69 % Incorrectly Classified Instances 991 17.31 % Kappa statistic 0.798 Mean absolute error 0.0878 Root mean squared error 0.1922 Relative absolute error 35.8535 % Root relative squared error 54.9386 % Total Number of Instances 5725 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.85 0.026 0.843 0.85 0.846 0.984 chest 0.8 0.024 0.845 0.8 0.822 0.976 forearm 0.869 0.041 0.782 0.869 0.823 0.981 head 0.892 0.013 0.918 0.892 0.905 0.989 shin 0.796 0.027 0.832 0.796 0.814 0.977 thigh 0.779 0.034 0.793 0.779 0.786 0.974 upperarm 0.802 0.037 0.785 0.802 0.793 0.972 waist Weighted Avg. 0.827 0.029 0.828 0.827 0.827 0.979 === Confusion Matrix === a b c d e f g <-- classified as 696 22 30 2 16 26 27 | a = chest 31 652 53 8 11 9 51 | b = forearm 14 25 712 3 6 40 19 | c = head 1 8 1 729 48 18 12 | d = shin 20 12 23 28 651 44 40 | e = thigh 27 23 51 18 31 637 31 | f = upperarm 37 30 41 6 19 29 657 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4679 81.7293 % Incorrectly Classified Instances 1046 18.2707 % Kappa statistic 0.7868 Mean absolute error 0.0881 Root mean squared error 0.1929 Relative absolute error 35.9545 % Root relative squared error 55.1381 % Total Number of Instances 5725 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.871 0.029 0.833 0.871 0.851 0.987 chest 0.804 0.022 0.858 0.804 0.83 0.973 forearm 0.851 0.041 0.774 0.851 0.811 0.981 head 0.863 0.015 0.903 0.863 0.882 0.989 shin 0.754 0.025 0.834 0.754 0.792 0.973 thigh 0.79 0.036 0.785 0.79 0.787 0.976 upperarm 0.789 0.044 0.749 0.789 0.769 0.97 waist Weighted Avg. 0.817 0.03 0.819 0.817 0.818 0.979 === Confusion Matrix === a b c d e f g <-- classified as 713 19 19 0 14 26 28 | a = chest 26 655 53 3 12 16 50 | b = forearm 23 26 697 4 3 31 35 | c = head 7 3 15 705 37 26 24 | d = shin 27 14 27 47 617 40 46 | e = thigh 19 14 60 15 31 646 33 | f = upperarm 41 32 29 7 26 38 646 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4758 83.1237 % Incorrectly Classified Instances 966 16.8763 % Kappa statistic 0.8031 Mean absolute error 0.0875 Root mean squared error 0.1906 Relative absolute error 35.7413 % Root relative squared error 54.4675 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.869 0.023 0.865 0.869 0.867 0.986 chest 0.825 0.025 0.843 0.825 0.834 0.983 forearm 0.872 0.038 0.792 0.872 0.83 0.981 head 0.863 0.012 0.922 0.863 0.891 0.988 shin 0.77 0.024 0.845 0.77 0.806 0.976 thigh 0.814 0.032 0.808 0.814 0.811 0.975 upperarm 0.806 0.043 0.759 0.806 0.782 0.971 waist Weighted Avg. 0.831 0.028 0.833 0.831 0.832 0.98 === Confusion Matrix === a b c d e f g <-- classified as 712 18 15 2 7 29 36 | a = chest 20 672 60 4 9 9 41 | b = forearm 13 26 713 1 3 30 32 | c = head 4 9 16 705 43 16 24 | d = shin 20 18 16 37 630 54 43 | e = thigh 17 20 44 12 26 666 33 | f = upperarm 37 34 36 4 28 20 660 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4748 82.949 % Incorrectly Classified Instances 976 17.051 % Kappa statistic 0.8011 Mean absolute error 0.0862 Root mean squared error 0.1899 Relative absolute error 35.2161 % Root relative squared error 54.2581 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.869 0.024 0.859 0.869 0.864 0.988 chest 0.81 0.025 0.845 0.81 0.827 0.976 forearm 0.855 0.035 0.802 0.855 0.827 0.982 head 0.852 0.012 0.922 0.852 0.885 0.987 shin 0.757 0.024 0.84 0.757 0.796 0.974 thigh 0.841 0.036 0.796 0.841 0.818 0.979 upperarm 0.823 0.043 0.761 0.823 0.791 0.975 waist Weighted Avg. 0.829 0.028 0.832 0.829 0.83 0.98 === Confusion Matrix === a b c d e f g <-- classified as 712 19 22 2 10 22 32 | a = chest 29 660 46 9 10 16 45 | b = forearm 13 30 699 0 6 39 31 | c = head 7 16 8 696 48 18 24 | d = shin 15 14 26 36 619 53 55 | e = thigh 24 12 39 7 23 688 25 | f = upperarm 29 30 32 5 21 28 674 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4753 83.0363 % Incorrectly Classified Instances 971 16.9637 % Kappa statistic 0.8021 Mean absolute error 0.0859 Root mean squared error 0.1901 Relative absolute error 35.0734 % Root relative squared error 54.3302 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.884 0.025 0.855 0.884 0.869 0.989 chest 0.792 0.022 0.856 0.792 0.822 0.976 forearm 0.87 0.038 0.791 0.87 0.829 0.981 head 0.878 0.014 0.91 0.878 0.893 0.988 shin 0.758 0.024 0.841 0.758 0.797 0.971 thigh 0.798 0.032 0.807 0.798 0.803 0.978 upperarm 0.833 0.042 0.767 0.833 0.799 0.976 waist Weighted Avg. 0.83 0.028 0.832 0.83 0.83 0.98 === Confusion Matrix === a b c d e f g <-- classified as 724 17 12 1 14 24 27 | a = chest 25 646 64 6 16 9 50 | b = forearm 13 25 712 5 4 30 29 | c = head 5 7 10 717 34 25 19 | d = shin 20 13 32 43 619 49 41 | e = thigh 20 12 48 12 32 653 41 | f = upperarm 40 35 22 4 17 19 682 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4788 83.6478 % Incorrectly Classified Instances 936 16.3522 % Kappa statistic 0.8092 Mean absolute error 0.0855 Root mean squared error 0.1884 Relative absolute error 34.9067 % Root relative squared error 53.8443 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.867 0.028 0.838 0.867 0.852 0.983 chest 0.806 0.022 0.857 0.806 0.831 0.977 forearm 0.861 0.041 0.779 0.861 0.818 0.981 head 0.889 0.012 0.923 0.889 0.905 0.99 shin 0.786 0.02 0.868 0.786 0.825 0.976 thigh 0.812 0.03 0.818 0.812 0.815 0.978 upperarm 0.835 0.037 0.79 0.835 0.812 0.978 waist Weighted Avg. 0.836 0.027 0.839 0.836 0.837 0.98 === Confusion Matrix === a b c d e f g <-- classified as 710 24 17 3 6 27 32 | a = chest 33 658 57 5 8 13 42 | b = forearm 14 31 704 3 8 29 29 | c = head 2 7 11 727 36 17 18 | d = shin 31 11 21 33 642 40 39 | e = thigh 25 15 60 14 18 664 22 | f = upperarm 32 22 34 3 22 22 683 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4721 82.4773 % Incorrectly Classified Instances 1003 17.5227 % Kappa statistic 0.7956 Mean absolute error 0.0876 Root mean squared error 0.1913 Relative absolute error 35.7721 % Root relative squared error 54.6645 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.862 0.028 0.837 0.862 0.85 0.986 chest 0.769 0.022 0.851 0.769 0.808 0.973 forearm 0.885 0.042 0.779 0.885 0.829 0.983 head 0.866 0.014 0.911 0.866 0.888 0.989 shin 0.769 0.027 0.824 0.769 0.795 0.976 thigh 0.812 0.029 0.824 0.812 0.818 0.977 upperarm 0.811 0.042 0.763 0.811 0.786 0.975 waist Weighted Avg. 0.825 0.029 0.827 0.825 0.825 0.98 === Confusion Matrix === a b c d e f g <-- classified as 706 33 16 1 13 24 26 | a = chest 38 627 67 6 6 8 63 | b = forearm 17 21 724 7 6 24 19 | c = head 4 10 13 708 48 19 16 | d = shin 19 10 30 38 628 43 49 | e = thigh 23 13 44 9 32 664 33 | f = upperarm 36 23 35 8 29 24 664 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4754 83.0538 % Incorrectly Classified Instances 970 16.9462 % Kappa statistic 0.8023 Mean absolute error 0.086 Root mean squared error 0.1892 Relative absolute error 35.1068 % Root relative squared error 54.0715 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.868 0.025 0.853 0.868 0.86 0.987 chest 0.81 0.024 0.851 0.81 0.83 0.98 forearm 0.856 0.044 0.765 0.856 0.808 0.981 head 0.888 0.015 0.909 0.888 0.898 0.99 shin 0.788 0.018 0.877 0.788 0.83 0.977 thigh 0.791 0.035 0.791 0.791 0.791 0.974 upperarm 0.813 0.037 0.785 0.813 0.799 0.973 waist Weighted Avg. 0.831 0.028 0.833 0.831 0.831 0.98 === Confusion Matrix === a b c d e f g <-- classified as 711 18 24 3 6 34 23 | a = chest 31 660 62 9 6 7 40 | b = forearm 14 33 700 2 4 42 23 | c = head 5 9 12 726 33 18 15 | d = shin 17 11 26 35 644 46 38 | e = thigh 23 15 55 13 22 647 43 | f = upperarm 33 30 36 11 19 24 666 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 6 FOLD: 0 Correctly Classified Instances 4746 82.8996 % Incorrectly Classified Instances 979 17.1004 % Kappa statistic 0.8005 Mean absolute error 0.0876 Root mean squared error 0.1914 Relative absolute error 35.785 % Root relative squared error 54.7048 % Total Number of Instances 5725 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.857 0.026 0.847 0.857 0.852 0.986 chest 0.8 0.02 0.868 0.8 0.833 0.977 forearm 0.859 0.04 0.782 0.859 0.819 0.979 head 0.879 0.012 0.924 0.879 0.901 0.989 shin 0.781 0.024 0.843 0.781 0.811 0.976 thigh 0.818 0.038 0.782 0.818 0.8 0.974 upperarm 0.808 0.039 0.774 0.808 0.791 0.974 waist Weighted Avg. 0.829 0.029 0.832 0.829 0.829 0.979 === Confusion Matrix === a b c d e f g <-- classified as 703 20 23 0 16 30 28 | a = chest 30 652 52 8 16 7 50 | b = forearm 15 22 703 3 4 43 28 | c = head 5 2 13 718 29 27 23 | d = shin 18 16 23 37 639 52 33 | e = thigh 24 13 48 8 25 669 31 | f = upperarm 35 26 37 3 29 27 662 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4732 82.655 % Incorrectly Classified Instances 993 17.345 % Kappa statistic 0.7976 Mean absolute error 0.0875 Root mean squared error 0.1919 Relative absolute error 35.7267 % Root relative squared error 54.8304 % Total Number of Instances 5725 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.867 0.028 0.838 0.867 0.852 0.983 chest 0.791 0.025 0.842 0.791 0.816 0.974 forearm 0.864 0.044 0.765 0.864 0.811 0.978 head 0.886 0.013 0.918 0.886 0.902 0.99 shin 0.763 0.02 0.867 0.763 0.811 0.977 thigh 0.786 0.032 0.804 0.786 0.795 0.975 upperarm 0.828 0.041 0.773 0.828 0.8 0.974 waist Weighted Avg. 0.827 0.029 0.829 0.827 0.827 0.979 === Confusion Matrix === a b c d e f g <-- classified as 710 25 19 1 9 28 27 | a = chest 34 645 64 7 11 10 44 | b = forearm 18 25 708 3 3 38 24 | c = head 7 8 11 725 38 11 18 | d = shin 25 15 23 37 624 44 50 | e = thigh 23 22 66 12 16 642 36 | f = upperarm 30 26 35 5 19 26 678 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4729 82.6026 % Incorrectly Classified Instances 996 17.3974 % Kappa statistic 0.797 Mean absolute error 0.0878 Root mean squared error 0.1914 Relative absolute error 35.8665 % Root relative squared error 54.705 % Total Number of Instances 5725 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.869 0.026 0.85 0.869 0.859 0.988 chest 0.813 0.025 0.844 0.813 0.828 0.98 forearm 0.845 0.039 0.784 0.845 0.813 0.979 head 0.874 0.013 0.918 0.874 0.895 0.989 shin 0.761 0.026 0.829 0.761 0.794 0.973 thigh 0.798 0.033 0.802 0.798 0.8 0.974 upperarm 0.821 0.041 0.768 0.821 0.793 0.972 waist Weighted Avg. 0.826 0.029 0.828 0.826 0.826 0.979 === Confusion Matrix === a b c d e f g <-- classified as 712 26 14 2 12 22 31 | a = chest 28 663 64 9 5 10 36 | b = forearm 17 26 692 1 11 44 28 | c = head 2 15 10 715 49 9 18 | d = shin 17 13 29 34 622 49 53 | e = thigh 25 15 38 14 36 653 37 | f = upperarm 37 28 36 4 15 27 672 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4729 82.6026 % Incorrectly Classified Instances 996 17.3974 % Kappa statistic 0.797 Mean absolute error 0.0867 Root mean squared error 0.1907 Relative absolute error 35.4119 % Root relative squared error 54.5054 % Total Number of Instances 5725 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.858 0.029 0.832 0.858 0.845 0.985 chest 0.795 0.022 0.855 0.795 0.824 0.976 forearm 0.846 0.04 0.78 0.846 0.811 0.98 head 0.874 0.015 0.907 0.874 0.89 0.99 shin 0.774 0.022 0.855 0.774 0.812 0.976 thigh 0.823 0.035 0.798 0.823 0.81 0.976 upperarm 0.812 0.04 0.771 0.812 0.791 0.973 waist Weighted Avg. 0.826 0.029 0.828 0.826 0.826 0.979 === Confusion Matrix === a b c d e f g <-- classified as 703 17 25 1 11 27 35 | a = chest 27 648 53 8 12 12 55 | b = forearm 18 36 693 1 4 44 23 | c = head 8 7 10 715 38 21 19 | d = shin 29 11 22 42 632 40 41 | e = thigh 17 12 58 14 19 673 25 | f = upperarm 43 27 28 7 23 26 665 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4724 82.5297 % Incorrectly Classified Instances 1000 17.4703 % Kappa statistic 0.7962 Mean absolute error 0.0873 Root mean squared error 0.1911 Relative absolute error 35.6463 % Root relative squared error 54.6024 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.861 0.028 0.839 0.861 0.85 0.986 chest 0.786 0.02 0.867 0.786 0.824 0.976 forearm 0.867 0.038 0.791 0.867 0.827 0.983 head 0.878 0.014 0.915 0.878 0.896 0.989 shin 0.772 0.022 0.852 0.772 0.81 0.976 thigh 0.797 0.034 0.798 0.797 0.798 0.976 upperarm 0.817 0.049 0.737 0.817 0.775 0.973 waist Weighted Avg. 0.825 0.029 0.828 0.825 0.826 0.98 === Confusion Matrix === a b c d e f g <-- classified as 705 17 18 0 10 33 36 | a = chest 33 641 57 6 14 12 53 | b = forearm 13 18 709 5 6 26 41 | c = head 5 8 11 718 40 18 18 | d = shin 21 8 29 40 631 45 43 | e = thigh 27 16 45 12 19 652 47 | f = upperarm 36 31 27 4 21 31 668 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4751 83.0014 % Incorrectly Classified Instances 973 16.9986 % Kappa statistic 0.8017 Mean absolute error 0.087 Root mean squared error 0.191 Relative absolute error 35.5153 % Root relative squared error 54.5806 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.864 0.029 0.835 0.864 0.849 0.984 chest 0.815 0.02 0.87 0.815 0.842 0.978 forearm 0.896 0.043 0.776 0.896 0.832 0.985 head 0.884 0.017 0.897 0.884 0.89 0.985 shin 0.741 0.021 0.853 0.741 0.793 0.972 thigh 0.806 0.029 0.824 0.806 0.815 0.978 upperarm 0.805 0.04 0.772 0.805 0.788 0.972 waist Weighted Avg. 0.83 0.028 0.832 0.83 0.83 0.979 === Confusion Matrix === a b c d e f g <-- classified as 708 17 29 2 11 25 27 | a = chest 39 665 47 6 11 10 38 | b = forearm 16 17 733 2 8 19 23 | c = head 1 11 17 722 23 16 27 | d = shin 26 16 25 45 605 47 53 | e = thigh 23 13 49 19 28 659 27 | f = upperarm 35 25 44 9 23 24 659 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4738 82.7743 % Incorrectly Classified Instances 986 17.2257 % Kappa statistic 0.799 Mean absolute error 0.087 Root mean squared error 0.1906 Relative absolute error 35.5249 % Root relative squared error 54.4814 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.873 0.028 0.837 0.873 0.855 0.986 chest 0.821 0.021 0.867 0.821 0.843 0.979 forearm 0.866 0.036 0.8 0.866 0.831 0.981 head 0.862 0.014 0.91 0.862 0.885 0.989 shin 0.771 0.024 0.842 0.771 0.805 0.972 thigh 0.791 0.038 0.779 0.791 0.785 0.974 upperarm 0.811 0.04 0.773 0.811 0.791 0.975 waist Weighted Avg. 0.828 0.029 0.83 0.828 0.828 0.98 === Confusion Matrix === a b c d e f g <-- classified as 715 11 19 3 11 37 23 | a = chest 26 669 56 5 6 10 43 | b = forearm 22 22 708 2 6 32 26 | c = head 4 7 9 704 49 26 18 | d = shin 20 14 27 34 631 50 42 | e = thigh 28 17 37 20 26 647 43 | f = upperarm 39 32 29 6 20 29 664 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4730 82.6345 % Incorrectly Classified Instances 994 17.3655 % Kappa statistic 0.7974 Mean absolute error 0.087 Root mean squared error 0.1911 Relative absolute error 35.5424 % Root relative squared error 54.609 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.858 0.023 0.863 0.858 0.86 0.986 chest 0.804 0.022 0.86 0.804 0.831 0.977 forearm 0.866 0.033 0.814 0.866 0.839 0.984 head 0.852 0.014 0.91 0.852 0.88 0.989 shin 0.763 0.029 0.813 0.763 0.787 0.973 thigh 0.82 0.036 0.791 0.82 0.806 0.979 upperarm 0.822 0.045 0.751 0.822 0.785 0.974 waist Weighted Avg. 0.826 0.029 0.829 0.826 0.827 0.98 === Confusion Matrix === a b c d e f g <-- classified as 703 18 20 1 16 37 24 | a = chest 23 655 44 5 12 15 61 | b = forearm 14 26 708 6 8 30 26 | c = head 2 8 9 696 54 22 26 | d = shin 20 15 21 41 624 48 49 | e = thigh 18 14 40 10 28 671 37 | f = upperarm 35 26 28 6 26 25 673 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4731 82.652 % Incorrectly Classified Instances 993 17.348 % Kappa statistic 0.7976 Mean absolute error 0.0867 Root mean squared error 0.1905 Relative absolute error 35.3995 % Root relative squared error 54.4369 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.88 0.025 0.854 0.88 0.867 0.986 chest 0.802 0.022 0.858 0.802 0.829 0.979 forearm 0.868 0.044 0.766 0.868 0.814 0.981 head 0.867 0.014 0.91 0.867 0.888 0.989 shin 0.763 0.029 0.817 0.763 0.789 0.973 thigh 0.797 0.031 0.81 0.797 0.803 0.977 upperarm 0.808 0.037 0.784 0.808 0.796 0.974 waist Weighted Avg. 0.827 0.029 0.828 0.827 0.827 0.98 === Confusion Matrix === a b c d e f g <-- classified as 721 19 27 2 7 18 25 | a = chest 25 654 63 8 10 10 45 | b = forearm 11 23 710 3 12 32 27 | c = head 2 6 10 708 61 12 18 | d = shin 27 20 14 39 624 53 41 | e = thigh 25 16 60 14 25 652 26 | f = upperarm 33 24 43 4 25 28 662 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4731 82.652 % Incorrectly Classified Instances 993 17.348 % Kappa statistic 0.7976 Mean absolute error 0.0866 Root mean squared error 0.1899 Relative absolute error 35.3699 % Root relative squared error 54.27 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.858 0.025 0.85 0.858 0.854 0.987 chest 0.79 0.022 0.856 0.79 0.822 0.978 forearm 0.869 0.039 0.787 0.869 0.826 0.984 head 0.879 0.015 0.908 0.879 0.893 0.99 shin 0.77 0.025 0.837 0.77 0.802 0.975 thigh 0.801 0.033 0.802 0.801 0.801 0.974 upperarm 0.818 0.043 0.761 0.818 0.789 0.973 waist Weighted Avg. 0.827 0.029 0.829 0.827 0.827 0.98 === Confusion Matrix === a b c d e f g <-- classified as 703 18 17 1 15 29 36 | a = chest 36 644 64 3 10 13 45 | b = forearm 19 24 711 3 6 30 25 | c = head 5 9 8 718 41 19 17 | d = shin 11 13 25 44 630 45 50 | e = thigh 20 19 48 13 26 655 37 | f = upperarm 33 25 31 9 25 26 670 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 7 FOLD: 0 Correctly Classified Instances 4721 82.4629 % Incorrectly Classified Instances 1004 17.5371 % Kappa statistic 0.7954 Mean absolute error 0.0874 Root mean squared error 0.1912 Relative absolute error 35.7065 % Root relative squared error 54.6508 % Total Number of Instances 5725 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.841 0.026 0.841 0.841 0.841 0.985 chest 0.816 0.024 0.849 0.816 0.832 0.981 forearm 0.863 0.04 0.784 0.863 0.822 0.982 head 0.874 0.014 0.913 0.874 0.893 0.989 shin 0.771 0.027 0.825 0.771 0.797 0.976 thigh 0.817 0.039 0.778 0.817 0.797 0.975 upperarm 0.79 0.034 0.794 0.79 0.792 0.974 waist Weighted Avg. 0.825 0.029 0.826 0.825 0.825 0.98 === Confusion Matrix === a b c d e f g <-- classified as 689 22 23 1 13 42 29 | a = chest 24 665 63 8 10 9 36 | b = forearm 15 19 707 2 9 42 25 | c = head 3 15 9 715 43 16 17 | d = shin 27 18 20 35 630 51 36 | e = thigh 26 11 49 15 24 668 25 | f = upperarm 35 33 31 7 35 31 647 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4741 82.8122 % Incorrectly Classified Instances 984 17.1878 % Kappa statistic 0.7995 Mean absolute error 0.0869 Root mean squared error 0.1906 Relative absolute error 35.4816 % Root relative squared error 54.4729 % Total Number of Instances 5725 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.862 0.026 0.846 0.862 0.854 0.987 chest 0.837 0.022 0.863 0.837 0.85 0.981 forearm 0.847 0.034 0.804 0.847 0.825 0.983 head 0.861 0.013 0.919 0.861 0.889 0.988 shin 0.765 0.023 0.845 0.765 0.803 0.972 thigh 0.807 0.038 0.781 0.807 0.794 0.975 upperarm 0.818 0.044 0.756 0.818 0.786 0.972 waist Weighted Avg. 0.828 0.029 0.831 0.828 0.829 0.98 === Confusion Matrix === a b c d e f g <-- classified as 706 19 15 2 10 27 40 | a = chest 27 682 42 6 13 6 39 | b = forearm 18 30 694 0 4 49 24 | c = head 7 3 15 704 48 14 27 | d = shin 21 9 20 30 625 65 47 | e = thigh 23 13 42 18 23 660 39 | f = upperarm 33 34 35 6 17 24 670 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4732 82.655 % Incorrectly Classified Instances 993 17.345 % Kappa statistic 0.7976 Mean absolute error 0.0874 Root mean squared error 0.1905 Relative absolute error 35.6888 % Root relative squared error 54.4415 % Total Number of Instances 5725 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.875 0.026 0.85 0.875 0.862 0.987 chest 0.785 0.023 0.851 0.785 0.817 0.977 forearm 0.844 0.039 0.783 0.844 0.812 0.979 head 0.891 0.012 0.923 0.891 0.907 0.989 shin 0.778 0.024 0.844 0.778 0.81 0.98 thigh 0.792 0.034 0.794 0.792 0.793 0.977 upperarm 0.819 0.044 0.757 0.819 0.787 0.971 waist Weighted Avg. 0.827 0.029 0.829 0.827 0.827 0.98 === Confusion Matrix === a b c d e f g <-- classified as 717 10 12 0 10 37 33 | a = chest 32 640 64 6 14 8 51 | b = forearm 15 30 691 3 10 37 33 | c = head 5 9 6 729 37 15 17 | d = shin 16 16 20 31 636 48 50 | e = thigh 24 17 57 16 25 648 31 | f = upperarm 35 30 33 5 22 23 671 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4742 82.8297 % Incorrectly Classified Instances 983 17.1703 % Kappa statistic 0.7997 Mean absolute error 0.0875 Root mean squared error 0.1914 Relative absolute error 35.7342 % Root relative squared error 54.6836 % Total Number of Instances 5725 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.863 0.028 0.836 0.863 0.849 0.985 chest 0.827 0.024 0.849 0.827 0.838 0.975 forearm 0.852 0.043 0.767 0.852 0.807 0.98 head 0.884 0.013 0.92 0.884 0.901 0.989 shin 0.764 0.023 0.849 0.764 0.804 0.975 thigh 0.803 0.032 0.805 0.803 0.804 0.974 upperarm 0.805 0.036 0.786 0.805 0.795 0.973 waist Weighted Avg. 0.828 0.029 0.83 0.828 0.829 0.979 === Confusion Matrix === a b c d e f g <-- classified as 707 20 30 1 13 21 27 | a = chest 32 675 51 3 6 11 38 | b = forearm 15 33 697 7 9 32 25 | c = head 3 11 16 723 34 19 12 | d = shin 20 10 26 38 624 52 47 | e = thigh 23 14 57 7 30 657 30 | f = upperarm 46 32 32 7 19 24 659 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4710 82.2851 % Incorrectly Classified Instances 1014 17.7149 % Kappa statistic 0.7933 Mean absolute error 0.0889 Root mean squared error 0.1937 Relative absolute error 36.2967 % Root relative squared error 55.3514 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.863 0.026 0.849 0.863 0.856 0.986 chest 0.808 0.023 0.855 0.808 0.83 0.977 forearm 0.852 0.04 0.781 0.852 0.815 0.98 head 0.847 0.013 0.917 0.847 0.88 0.989 shin 0.792 0.027 0.832 0.792 0.812 0.974 thigh 0.781 0.036 0.785 0.781 0.783 0.97 upperarm 0.817 0.043 0.759 0.817 0.787 0.972 waist Weighted Avg. 0.823 0.03 0.825 0.823 0.823 0.978 === Confusion Matrix === a b c d e f g <-- classified as 707 23 22 4 8 30 25 | a = chest 27 659 54 6 11 13 46 | b = forearm 10 23 697 3 9 41 35 | c = head 6 8 12 692 58 21 20 | d = shin 22 11 19 33 648 44 41 | e = thigh 24 16 55 13 26 638 45 | f = upperarm 37 31 33 4 19 26 669 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4757 83.1062 % Incorrectly Classified Instances 967 16.8938 % Kappa statistic 0.8029 Mean absolute error 0.0866 Root mean squared error 0.1899 Relative absolute error 35.3463 % Root relative squared error 54.2628 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.861 0.027 0.842 0.861 0.851 0.983 chest 0.823 0.024 0.85 0.823 0.837 0.977 forearm 0.87 0.038 0.791 0.87 0.829 0.983 head 0.874 0.014 0.91 0.874 0.891 0.988 shin 0.758 0.023 0.846 0.758 0.799 0.975 thigh 0.819 0.031 0.814 0.819 0.817 0.979 upperarm 0.812 0.039 0.776 0.812 0.794 0.971 waist Weighted Avg. 0.831 0.028 0.833 0.831 0.831 0.979 === Confusion Matrix === a b c d e f g <-- classified as 705 23 20 0 15 32 24 | a = chest 32 671 49 5 11 8 39 | b = forearm 13 33 712 2 3 26 29 | c = head 4 6 8 714 41 17 27 | d = shin 26 14 23 43 620 46 46 | e = thigh 25 14 44 15 23 670 27 | f = upperarm 32 28 44 6 20 24 665 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4729 82.6171 % Incorrectly Classified Instances 995 17.3829 % Kappa statistic 0.7972 Mean absolute error 0.0859 Root mean squared error 0.1906 Relative absolute error 35.0879 % Root relative squared error 54.464 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.874 0.03 0.831 0.874 0.852 0.984 chest 0.76 0.025 0.836 0.76 0.796 0.973 forearm 0.875 0.044 0.767 0.875 0.818 0.982 head 0.894 0.015 0.91 0.894 0.902 0.991 shin 0.773 0.018 0.875 0.773 0.821 0.975 thigh 0.797 0.028 0.827 0.797 0.812 0.976 upperarm 0.811 0.043 0.757 0.811 0.783 0.972 waist Weighted Avg. 0.826 0.029 0.829 0.826 0.826 0.979 === Confusion Matrix === a b c d e f g <-- classified as 716 23 18 4 7 25 26 | a = chest 31 619 71 5 11 12 66 | b = forearm 12 29 716 4 0 32 25 | c = head 4 11 6 730 38 12 16 | d = shin 30 13 31 39 632 30 43 | e = thigh 32 16 48 16 17 652 37 | f = upperarm 37 29 43 4 17 25 664 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4740 82.8092 % Incorrectly Classified Instances 984 17.1908 % Kappa statistic 0.7994 Mean absolute error 0.0873 Root mean squared error 0.191 Relative absolute error 35.663 % Root relative squared error 54.5775 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.857 0.024 0.858 0.857 0.858 0.985 chest 0.791 0.02 0.867 0.791 0.827 0.976 forearm 0.88 0.044 0.768 0.88 0.821 0.983 head 0.878 0.014 0.911 0.878 0.894 0.99 shin 0.756 0.028 0.82 0.756 0.786 0.97 thigh 0.819 0.031 0.815 0.819 0.817 0.98 upperarm 0.816 0.04 0.775 0.816 0.795 0.972 waist Weighted Avg. 0.828 0.029 0.831 0.828 0.828 0.979 === Confusion Matrix === a b c d e f g <-- classified as 702 23 23 1 12 31 27 | a = chest 20 645 65 7 13 16 49 | b = forearm 22 24 720 2 6 25 19 | c = head 6 4 16 717 47 16 11 | d = shin 18 11 30 47 618 37 57 | e = thigh 16 14 46 9 32 670 31 | f = upperarm 34 23 37 4 26 27 668 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4765 83.246 % Incorrectly Classified Instances 959 16.754 % Kappa statistic 0.8045 Mean absolute error 0.0866 Root mean squared error 0.1902 Relative absolute error 35.3775 % Root relative squared error 54.3407 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.886 0.026 0.85 0.886 0.868 0.988 chest 0.805 0.02 0.869 0.805 0.836 0.98 forearm 0.873 0.038 0.794 0.873 0.832 0.982 head 0.874 0.014 0.914 0.874 0.894 0.988 shin 0.757 0.022 0.849 0.757 0.8 0.971 thigh 0.814 0.031 0.812 0.814 0.813 0.976 upperarm 0.818 0.044 0.756 0.818 0.786 0.974 waist Weighted Avg. 0.832 0.028 0.835 0.832 0.833 0.98 === Confusion Matrix === a b c d e f g <-- classified as 726 13 10 2 12 25 31 | a = chest 33 656 56 3 6 9 52 | b = forearm 15 22 714 7 4 25 31 | c = head 4 7 11 714 42 17 22 | d = shin 22 15 27 39 619 50 46 | e = thigh 23 20 45 12 18 666 34 | f = upperarm 31 22 36 4 28 28 670 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4771 83.3508 % Incorrectly Classified Instances 953 16.6492 % Kappa statistic 0.8058 Mean absolute error 0.0861 Root mean squared error 0.1895 Relative absolute error 35.1692 % Root relative squared error 54.1417 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.871 0.024 0.859 0.871 0.865 0.987 chest 0.79 0.02 0.87 0.79 0.828 0.976 forearm 0.874 0.04 0.783 0.874 0.826 0.983 head 0.854 0.015 0.902 0.854 0.877 0.985 shin 0.795 0.021 0.862 0.795 0.827 0.977 thigh 0.807 0.033 0.801 0.807 0.804 0.976 upperarm 0.844 0.04 0.777 0.844 0.809 0.977 waist Weighted Avg. 0.834 0.028 0.836 0.834 0.834 0.98 === Confusion Matrix === a b c d e f g <-- classified as 714 26 17 1 12 22 28 | a = chest 24 644 71 10 5 8 53 | b = forearm 14 11 715 4 5 38 31 | c = head 3 10 9 698 41 34 22 | d = shin 21 13 25 39 650 42 28 | e = thigh 24 17 41 12 28 660 36 | f = upperarm 31 19 35 10 13 20 690 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 8 FOLD: 0 Correctly Classified Instances 4725 82.5328 % Incorrectly Classified Instances 1000 17.4672 % Kappa statistic 0.7962 Mean absolute error 0.0874 Root mean squared error 0.1918 Relative absolute error 35.6845 % Root relative squared error 54.8097 % Total Number of Instances 5725 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.857 0.026 0.844 0.857 0.85 0.985 chest 0.809 0.021 0.863 0.809 0.835 0.977 forearm 0.86 0.036 0.797 0.86 0.827 0.981 head 0.88 0.015 0.907 0.88 0.893 0.99 shin 0.768 0.023 0.849 0.768 0.806 0.976 thigh 0.793 0.037 0.779 0.793 0.786 0.972 upperarm 0.811 0.044 0.755 0.811 0.782 0.969 waist Weighted Avg. 0.825 0.029 0.827 0.825 0.826 0.979 === Confusion Matrix === a b c d e f g <-- classified as 702 20 23 1 7 34 32 | a = chest 24 659 49 7 8 8 60 | b = forearm 16 25 704 2 5 38 29 | c = head 4 7 5 719 50 16 16 | d = shin 20 15 18 42 628 58 37 | e = thigh 27 12 48 15 25 649 42 | f = upperarm 39 26 36 7 17 30 664 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4742 82.8297 % Incorrectly Classified Instances 983 17.1703 % Kappa statistic 0.7997 Mean absolute error 0.0876 Root mean squared error 0.1911 Relative absolute error 35.7713 % Root relative squared error 54.625 % Total Number of Instances 5725 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.869 0.03 0.83 0.869 0.849 0.985 chest 0.812 0.028 0.829 0.812 0.82 0.977 forearm 0.86 0.036 0.798 0.86 0.828 0.984 head 0.874 0.013 0.918 0.874 0.895 0.985 shin 0.748 0.019 0.866 0.748 0.803 0.974 thigh 0.818 0.033 0.804 0.818 0.811 0.978 upperarm 0.817 0.041 0.77 0.817 0.793 0.976 waist Weighted Avg. 0.828 0.029 0.831 0.828 0.828 0.98 === Confusion Matrix === a b c d e f g <-- classified as 712 23 15 1 8 29 31 | a = chest 34 662 57 6 6 9 41 | b = forearm 16 33 704 5 5 33 23 | c = head 4 16 11 714 35 20 17 | d = shin 25 18 23 37 612 49 54 | e = thigh 26 17 43 12 17 669 34 | f = upperarm 41 30 29 3 24 23 669 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4755 83.0568 % Incorrectly Classified Instances 970 16.9432 % Kappa statistic 0.8023 Mean absolute error 0.0856 Root mean squared error 0.1887 Relative absolute error 34.9511 % Root relative squared error 53.9314 % Total Number of Instances 5725 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.86 0.029 0.834 0.86 0.847 0.986 chest 0.815 0.023 0.853 0.815 0.834 0.982 forearm 0.874 0.037 0.798 0.874 0.834 0.985 head 0.864 0.013 0.918 0.864 0.89 0.99 shin 0.784 0.022 0.854 0.784 0.817 0.974 thigh 0.803 0.032 0.807 0.803 0.805 0.976 upperarm 0.814 0.042 0.765 0.814 0.789 0.972 waist Weighted Avg. 0.831 0.028 0.833 0.831 0.831 0.981 === Confusion Matrix === a b c d e f g <-- classified as 704 19 21 5 10 33 27 | a = chest 27 664 53 10 8 7 46 | b = forearm 12 30 716 3 6 29 23 | c = head 5 9 4 706 46 19 28 | d = shin 16 17 24 31 641 46 43 | e = thigh 32 18 40 11 22 657 38 | f = upperarm 48 21 39 3 18 23 667 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4728 82.5852 % Incorrectly Classified Instances 997 17.4148 % Kappa statistic 0.7968 Mean absolute error 0.0871 Root mean squared error 0.1916 Relative absolute error 35.5549 % Root relative squared error 54.7664 % Total Number of Instances 5725 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.857 0.028 0.837 0.857 0.847 0.984 chest 0.821 0.021 0.867 0.821 0.843 0.978 forearm 0.855 0.044 0.764 0.855 0.807 0.98 head 0.871 0.013 0.916 0.871 0.893 0.987 shin 0.784 0.025 0.838 0.784 0.81 0.977 thigh 0.796 0.035 0.792 0.796 0.794 0.974 upperarm 0.797 0.037 0.783 0.797 0.79 0.973 waist Weighted Avg. 0.826 0.029 0.828 0.826 0.826 0.979 === Confusion Matrix === a b c d e f g <-- classified as 703 17 22 3 10 34 31 | a = chest 25 669 57 6 7 10 41 | b = forearm 17 27 699 3 6 39 27 | c = head 6 4 15 712 42 23 15 | d = shin 26 14 28 37 641 42 30 | e = thigh 20 14 50 13 33 651 37 | f = upperarm 43 27 44 3 26 23 653 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4768 83.2984 % Incorrectly Classified Instances 956 16.7016 % Kappa statistic 0.8051 Mean absolute error 0.0867 Root mean squared error 0.1895 Relative absolute error 35.4195 % Root relative squared error 54.1515 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.871 0.023 0.864 0.871 0.867 0.986 chest 0.808 0.023 0.855 0.808 0.83 0.978 forearm 0.875 0.04 0.784 0.875 0.827 0.981 head 0.873 0.014 0.913 0.873 0.893 0.99 shin 0.772 0.028 0.824 0.772 0.797 0.973 thigh 0.807 0.029 0.822 0.807 0.814 0.979 upperarm 0.825 0.039 0.781 0.825 0.803 0.974 waist Weighted Avg. 0.833 0.028 0.835 0.833 0.833 0.98 === Confusion Matrix === a b c d e f g <-- classified as 713 22 17 1 12 28 26 | a = chest 29 659 51 3 15 10 49 | b = forearm 13 26 716 3 7 29 24 | c = head 1 9 14 714 47 13 20 | d = shin 19 12 30 43 631 41 41 | e = thigh 22 12 50 12 33 660 29 | f = upperarm 28 31 35 6 21 22 675 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4745 82.8966 % Incorrectly Classified Instances 979 17.1034 % Kappa statistic 0.8005 Mean absolute error 0.0871 Root mean squared error 0.1916 Relative absolute error 35.575 % Root relative squared error 54.7451 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.879 0.025 0.853 0.879 0.866 0.987 chest 0.782 0.022 0.858 0.782 0.818 0.974 forearm 0.868 0.041 0.779 0.868 0.821 0.979 head 0.859 0.014 0.912 0.859 0.885 0.984 shin 0.769 0.025 0.836 0.769 0.801 0.975 thigh 0.825 0.033 0.807 0.825 0.816 0.978 upperarm 0.821 0.04 0.774 0.821 0.797 0.974 waist Weighted Avg. 0.829 0.029 0.831 0.829 0.829 0.979 === Confusion Matrix === a b c d e f g <-- classified as 720 16 10 3 13 25 32 | a = chest 30 638 68 5 16 12 47 | b = forearm 14 25 710 1 5 30 33 | c = head 4 9 16 703 42 23 21 | d = shin 21 13 25 43 628 48 39 | e = thigh 15 18 52 10 24 674 24 | f = upperarm 40 25 30 6 23 23 672 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4743 82.8616 % Incorrectly Classified Instances 981 17.1384 % Kappa statistic 0.8001 Mean absolute error 0.087 Root mean squared error 0.1905 Relative absolute error 35.5346 % Root relative squared error 54.433 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.871 0.027 0.846 0.871 0.858 0.985 chest 0.81 0.021 0.865 0.81 0.837 0.976 forearm 0.885 0.039 0.79 0.885 0.835 0.983 head 0.851 0.014 0.911 0.851 0.88 0.99 shin 0.785 0.029 0.82 0.785 0.802 0.974 thigh 0.778 0.031 0.805 0.778 0.791 0.974 upperarm 0.822 0.039 0.778 0.822 0.799 0.975 waist Weighted Avg. 0.829 0.029 0.831 0.829 0.829 0.98 === Confusion Matrix === a b c d e f g <-- classified as 713 19 21 1 14 29 22 | a = chest 30 660 53 10 8 13 41 | b = forearm 18 15 724 1 8 29 23 | c = head 4 10 16 696 55 17 20 | d = shin 24 11 19 35 641 41 46 | e = thigh 20 17 56 13 36 636 40 | f = upperarm 34 31 28 8 20 25 673 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4749 82.9665 % Incorrectly Classified Instances 975 17.0335 % Kappa statistic 0.8013 Mean absolute error 0.0866 Root mean squared error 0.1903 Relative absolute error 35.371 % Root relative squared error 54.3948 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.861 0.026 0.847 0.861 0.854 0.985 chest 0.806 0.024 0.849 0.806 0.827 0.981 forearm 0.866 0.041 0.78 0.866 0.82 0.98 head 0.884 0.014 0.914 0.884 0.899 0.992 shin 0.76 0.024 0.839 0.76 0.798 0.975 thigh 0.813 0.031 0.814 0.813 0.813 0.977 upperarm 0.818 0.039 0.777 0.818 0.797 0.972 waist Weighted Avg. 0.83 0.028 0.831 0.83 0.83 0.98 === Confusion Matrix === a b c d e f g <-- classified as 705 30 16 2 17 26 23 | a = chest 31 657 57 5 9 7 49 | b = forearm 19 25 708 3 8 29 26 | c = head 4 7 12 723 42 13 17 | d = shin 20 9 24 39 621 51 53 | e = thigh 24 19 55 10 21 665 24 | f = upperarm 29 27 36 9 22 26 670 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4729 82.6171 % Incorrectly Classified Instances 995 17.3829 % Kappa statistic 0.7972 Mean absolute error 0.0873 Root mean squared error 0.1911 Relative absolute error 35.6543 % Root relative squared error 54.6102 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.874 0.027 0.845 0.874 0.86 0.987 chest 0.788 0.022 0.858 0.788 0.821 0.973 forearm 0.863 0.041 0.778 0.863 0.819 0.982 head 0.869 0.013 0.917 0.869 0.893 0.991 shin 0.767 0.025 0.837 0.767 0.8 0.973 thigh 0.801 0.034 0.797 0.801 0.799 0.975 upperarm 0.822 0.042 0.767 0.822 0.794 0.975 waist Weighted Avg. 0.826 0.029 0.829 0.826 0.826 0.979 === Confusion Matrix === a b c d e f g <-- classified as 716 17 19 2 14 24 27 | a = chest 32 642 58 6 12 15 50 | b = forearm 16 27 706 2 3 29 35 | c = head 4 9 4 710 46 22 22 | d = shin 24 15 31 29 627 54 38 | e = thigh 29 12 53 19 18 655 32 | f = upperarm 26 26 36 6 29 23 673 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4730 82.6345 % Incorrectly Classified Instances 994 17.3655 % Kappa statistic 0.7974 Mean absolute error 0.0872 Root mean squared error 0.1917 Relative absolute error 35.5974 % Root relative squared error 54.7857 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.866 0.024 0.857 0.866 0.861 0.987 chest 0.79 0.023 0.852 0.79 0.82 0.977 forearm 0.861 0.04 0.784 0.861 0.821 0.979 head 0.873 0.015 0.905 0.873 0.888 0.988 shin 0.78 0.025 0.838 0.78 0.808 0.974 thigh 0.798 0.036 0.788 0.798 0.793 0.976 upperarm 0.817 0.04 0.773 0.817 0.795 0.974 waist Weighted Avg. 0.826 0.029 0.828 0.826 0.827 0.979 === Confusion Matrix === a b c d e f g <-- classified as 709 20 23 0 9 27 31 | a = chest 27 644 62 5 12 17 48 | b = forearm 12 29 704 6 4 39 24 | c = head 7 7 7 713 46 20 17 | d = shin 20 11 24 36 638 49 40 | e = thigh 22 14 49 20 24 653 36 | f = upperarm 30 31 29 8 28 24 669 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 9 FOLD: 0 Correctly Classified Instances 4701 82.1135 % Incorrectly Classified Instances 1024 17.8865 % Kappa statistic 0.7913 Mean absolute error 0.089 Root mean squared error 0.1943 Relative absolute error 36.3511 % Root relative squared error 55.5189 % Total Number of Instances 5725 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.856 0.029 0.833 0.856 0.844 0.985 chest 0.796 0.024 0.844 0.796 0.819 0.976 forearm 0.852 0.041 0.777 0.852 0.813 0.979 head 0.871 0.015 0.907 0.871 0.889 0.988 shin 0.753 0.024 0.838 0.753 0.793 0.972 thigh 0.807 0.036 0.787 0.807 0.797 0.973 upperarm 0.812 0.039 0.776 0.812 0.794 0.972 waist Weighted Avg. 0.821 0.03 0.823 0.821 0.821 0.978 === Confusion Matrix === a b c d e f g <-- classified as 701 19 23 3 14 31 28 | a = chest 37 649 55 3 7 9 55 | b = forearm 19 29 698 3 10 25 35 | c = head 3 10 13 712 41 24 14 | d = shin 26 14 27 46 616 57 32 | e = thigh 17 20 51 14 28 660 28 | f = upperarm 39 28 31 4 19 33 665 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4743 82.8472 % Incorrectly Classified Instances 982 17.1528 % Kappa statistic 0.7999 Mean absolute error 0.0874 Root mean squared error 0.1917 Relative absolute error 35.6953 % Root relative squared error 54.7757 % Total Number of Instances 5725 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.852 0.026 0.846 0.852 0.849 0.985 chest 0.84 0.025 0.848 0.84 0.844 0.979 forearm 0.866 0.037 0.797 0.866 0.83 0.982 head 0.862 0.012 0.924 0.862 0.892 0.986 shin 0.762 0.02 0.862 0.762 0.809 0.974 thigh 0.809 0.04 0.771 0.809 0.79 0.973 upperarm 0.808 0.04 0.772 0.808 0.79 0.974 waist Weighted Avg. 0.828 0.029 0.831 0.828 0.829 0.979 === Confusion Matrix === a b c d e f g <-- classified as 698 24 24 1 13 36 23 | a = chest 26 685 44 4 8 15 33 | b = forearm 11 20 709 3 3 41 32 | c = head 4 7 10 704 38 30 24 | d = shin 17 12 29 34 623 55 48 | e = thigh 28 22 42 10 18 662 36 | f = upperarm 41 38 32 6 20 20 662 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4740 82.7948 % Incorrectly Classified Instances 985 17.2052 % Kappa statistic 0.7993 Mean absolute error 0.0879 Root mean squared error 0.1915 Relative absolute error 35.8903 % Root relative squared error 54.7305 % Total Number of Instances 5725 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.83 0.023 0.858 0.83 0.844 0.984 chest 0.807 0.024 0.848 0.807 0.827 0.98 forearm 0.873 0.039 0.788 0.873 0.829 0.983 head 0.878 0.011 0.928 0.878 0.902 0.99 shin 0.76 0.022 0.851 0.76 0.803 0.973 thigh 0.823 0.035 0.797 0.823 0.81 0.977 upperarm 0.824 0.046 0.749 0.824 0.785 0.973 waist Weighted Avg. 0.828 0.029 0.831 0.828 0.828 0.98 === Confusion Matrix === a b c d e f g <-- classified as 680 28 24 1 14 31 41 | a = chest 27 658 60 4 6 7 53 | b = forearm 12 27 715 2 5 35 23 | c = head 2 5 6 717 39 16 32 | d = shin 23 13 28 35 622 55 42 | e = thigh 21 11 42 10 26 673 35 | f = upperarm 28 34 32 4 19 27 675 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4778 83.4585 % Incorrectly Classified Instances 947 16.5415 % Kappa statistic 0.807 Mean absolute error 0.086 Root mean squared error 0.1893 Relative absolute error 35.1139 % Root relative squared error 54.1027 % Total Number of Instances 5725 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.882 0.029 0.834 0.882 0.857 0.987 chest 0.806 0.02 0.868 0.806 0.836 0.977 forearm 0.88 0.038 0.795 0.88 0.835 0.984 head 0.884 0.015 0.908 0.884 0.896 0.99 shin 0.768 0.022 0.852 0.768 0.808 0.974 thigh 0.793 0.033 0.8 0.793 0.797 0.977 upperarm 0.829 0.035 0.797 0.829 0.813 0.976 waist Weighted Avg. 0.835 0.028 0.836 0.835 0.834 0.981 === Confusion Matrix === a b c d e f g <-- classified as 722 22 21 0 10 30 14 | a = chest 29 658 54 7 10 5 53 | b = forearm 21 20 720 3 5 33 16 | c = head 4 12 6 722 39 20 14 | d = shin 25 18 18 38 628 48 43 | e = thigh 28 8 54 18 28 649 33 | f = upperarm 37 20 33 7 17 26 679 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4720 82.4598 % Incorrectly Classified Instances 1004 17.5402 % Kappa statistic 0.7954 Mean absolute error 0.087 Root mean squared error 0.1911 Relative absolute error 35.5444 % Root relative squared error 54.606 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.879 0.025 0.853 0.879 0.866 0.988 chest 0.794 0.022 0.859 0.794 0.825 0.975 forearm 0.869 0.039 0.787 0.869 0.826 0.984 head 0.854 0.014 0.912 0.854 0.882 0.988 shin 0.773 0.026 0.833 0.773 0.802 0.972 thigh 0.783 0.036 0.782 0.783 0.783 0.973 upperarm 0.819 0.043 0.762 0.819 0.789 0.975 waist Weighted Avg. 0.825 0.029 0.827 0.825 0.825 0.979 === Confusion Matrix === a b c d e f g <-- classified as 720 18 13 1 9 26 32 | a = chest 27 648 50 8 15 11 57 | b = forearm 14 29 711 4 3 36 21 | c = head 8 12 8 698 51 20 20 | d = shin 20 5 31 31 632 53 46 | e = thigh 23 23 62 13 22 640 34 | f = upperarm 32 19 28 10 27 32 671 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4715 82.3725 % Incorrectly Classified Instances 1009 17.6275 % Kappa statistic 0.7943 Mean absolute error 0.0877 Root mean squared error 0.1924 Relative absolute error 35.8098 % Root relative squared error 54.9851 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.866 0.028 0.837 0.866 0.851 0.984 chest 0.802 0.021 0.862 0.802 0.831 0.974 forearm 0.863 0.039 0.787 0.863 0.823 0.982 head 0.87 0.014 0.914 0.87 0.892 0.99 shin 0.758 0.027 0.824 0.758 0.79 0.972 thigh 0.787 0.026 0.835 0.787 0.811 0.976 upperarm 0.819 0.051 0.729 0.819 0.772 0.969 waist Weighted Avg. 0.824 0.029 0.827 0.824 0.824 0.978 === Confusion Matrix === a b c d e f g <-- classified as 709 18 17 1 13 24 37 | a = chest 30 654 53 4 20 11 43 | b = forearm 13 22 706 4 4 30 39 | c = head 6 9 9 712 46 11 25 | d = shin 21 16 26 42 619 35 58 | e = thigh 24 15 53 11 24 644 47 | f = upperarm 44 25 33 5 25 16 671 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4760 83.1586 % Incorrectly Classified Instances 964 16.8414 % Kappa statistic 0.8035 Mean absolute error 0.0867 Root mean squared error 0.19 Relative absolute error 35.407 % Root relative squared error 54.3051 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.867 0.028 0.837 0.867 0.852 0.984 chest 0.809 0.021 0.867 0.809 0.837 0.979 forearm 0.859 0.041 0.779 0.859 0.817 0.98 head 0.878 0.015 0.908 0.878 0.892 0.987 shin 0.788 0.024 0.847 0.788 0.817 0.974 thigh 0.801 0.032 0.807 0.801 0.804 0.974 upperarm 0.819 0.037 0.788 0.819 0.804 0.974 waist Weighted Avg. 0.832 0.028 0.833 0.832 0.832 0.979 === Confusion Matrix === a b c d e f g <-- classified as 710 15 26 1 8 32 27 | a = chest 31 659 59 5 7 12 42 | b = forearm 23 26 703 3 8 32 23 | c = head 8 4 10 718 44 15 19 | d = shin 25 15 21 41 644 41 30 | e = thigh 22 9 48 16 29 655 39 | f = upperarm 29 32 35 7 20 25 671 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4762 83.1936 % Incorrectly Classified Instances 962 16.8064 % Kappa statistic 0.8039 Mean absolute error 0.0849 Root mean squared error 0.188 Relative absolute error 34.669 % Root relative squared error 53.7174 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.862 0.029 0.833 0.862 0.847 0.985 chest 0.787 0.023 0.852 0.787 0.818 0.977 forearm 0.868 0.039 0.789 0.868 0.827 0.981 head 0.869 0.011 0.927 0.869 0.897 0.991 shin 0.799 0.026 0.838 0.799 0.818 0.98 thigh 0.804 0.031 0.813 0.804 0.809 0.979 upperarm 0.834 0.038 0.786 0.834 0.809 0.977 waist Weighted Avg. 0.832 0.028 0.834 0.832 0.832 0.981 === Confusion Matrix === a b c d e f g <-- classified as 706 23 23 4 9 29 25 | a = chest 36 641 57 9 8 15 49 | b = forearm 19 22 710 2 8 35 22 | c = head 3 13 13 711 45 19 14 | d = shin 22 11 17 33 653 35 46 | e = thigh 25 16 52 5 32 658 30 | f = upperarm 37 26 28 3 24 18 683 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4756 83.0887 % Incorrectly Classified Instances 968 16.9113 % Kappa statistic 0.8027 Mean absolute error 0.0868 Root mean squared error 0.1911 Relative absolute error 35.4337 % Root relative squared error 54.6058 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.88 0.026 0.851 0.88 0.866 0.988 chest 0.8 0.023 0.853 0.8 0.826 0.975 forearm 0.857 0.041 0.777 0.857 0.815 0.98 head 0.877 0.015 0.906 0.877 0.891 0.987 shin 0.765 0.023 0.847 0.765 0.804 0.973 thigh 0.815 0.029 0.827 0.815 0.821 0.978 upperarm 0.822 0.041 0.769 0.822 0.795 0.974 waist Weighted Avg. 0.831 0.028 0.833 0.831 0.831 0.979 === Confusion Matrix === a b c d e f g <-- classified as 721 24 11 0 13 27 23 | a = chest 30 652 57 7 9 5 55 | b = forearm 15 33 701 6 5 23 35 | c = head 0 7 11 717 44 26 13 | d = shin 23 12 35 44 625 36 42 | e = thigh 25 20 41 10 21 667 34 | f = upperarm 33 16 46 7 21 23 673 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4755 83.0713 % Incorrectly Classified Instances 969 16.9287 % Kappa statistic 0.8025 Mean absolute error 0.0866 Root mean squared error 0.1901 Relative absolute error 35.3779 % Root relative squared error 54.324 % Total Number of Instances 5724 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.872 0.025 0.853 0.872 0.862 0.987 chest 0.798 0.023 0.854 0.798 0.825 0.978 forearm 0.867 0.04 0.782 0.867 0.822 0.982 head 0.88 0.012 0.922 0.88 0.9 0.99 shin 0.767 0.025 0.836 0.767 0.8 0.973 thigh 0.825 0.032 0.81 0.825 0.818 0.978 upperarm 0.807 0.04 0.772 0.807 0.789 0.968 waist Weighted Avg. 0.831 0.028 0.833 0.831 0.831 0.98 === Confusion Matrix === a b c d e f g <-- classified as 715 19 19 4 14 26 23 | a = chest 31 650 69 4 10 13 38 | b = forearm 15 27 709 1 6 29 31 | c = head 4 12 8 719 39 10 25 | d = shin 19 16 22 39 627 48 47 | e = thigh 18 14 45 9 26 675 31 | f = upperarm 36 23 35 4 28 32 660 | g = waist ------------------------------------------------------------------------------------------------------ SUBJECT: 11 RUN: 0 FOLD: 0 Correctly Classified Instances 4781 79.7232 % Incorrectly Classified Instances 1216 20.2768 % Kappa statistic 0.7634 Mean absolute error 0.1006 Root mean squared error 0.2067 Relative absolute error 41.0824 % Root relative squared error 59.0737 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.796 0.042 0.759 0.796 0.777 0.97 chest 0.726 0.047 0.719 0.726 0.722 0.955 forearm 0.87 0.036 0.802 0.87 0.835 0.983 head 0.821 0.018 0.886 0.821 0.852 0.98 shin 0.781 0.028 0.824 0.781 0.802 0.971 thigh 0.812 0.031 0.816 0.812 0.814 0.978 upperarm 0.775 0.036 0.784 0.775 0.779 0.968 waist Weighted Avg. 0.797 0.034 0.799 0.797 0.797 0.972 === Confusion Matrix === a b c d e f g <-- classified as 682 60 16 4 9 49 37 | a = chest 59 619 76 10 26 15 48 | b = forearm 16 47 746 3 11 14 20 | c = head 23 29 11 704 45 20 26 | d = shin 24 31 15 42 671 44 32 | e = thigh 46 36 10 15 34 695 20 | f = upperarm 48 39 56 17 18 15 664 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4746 79.1396 % Incorrectly Classified Instances 1251 20.8604 % Kappa statistic 0.7566 Mean absolute error 0.1031 Root mean squared error 0.21 Relative absolute error 42.1191 % Root relative squared error 60.0232 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.755 0.046 0.732 0.755 0.743 0.965 chest 0.716 0.045 0.727 0.716 0.722 0.952 forearm 0.867 0.038 0.792 0.867 0.828 0.982 head 0.826 0.018 0.885 0.826 0.855 0.977 shin 0.778 0.026 0.835 0.778 0.805 0.968 thigh 0.8 0.035 0.792 0.8 0.796 0.972 upperarm 0.797 0.036 0.786 0.797 0.791 0.97 waist Weighted Avg. 0.791 0.035 0.793 0.791 0.792 0.97 === Confusion Matrix === a b c d e f g <-- classified as 647 59 27 8 17 57 42 | a = chest 69 611 80 6 25 22 40 | b = forearm 11 55 743 2 8 14 24 | c = head 30 15 10 709 35 25 34 | d = shin 22 34 23 40 668 49 23 | e = thigh 58 19 12 23 36 685 23 | f = upperarm 47 47 43 13 11 13 683 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4801 80.0567 % Incorrectly Classified Instances 1196 19.9433 % Kappa statistic 0.7673 Mean absolute error 0.1007 Root mean squared error 0.2062 Relative absolute error 41.1121 % Root relative squared error 58.9224 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.802 0.039 0.775 0.802 0.788 0.973 chest 0.695 0.04 0.744 0.695 0.719 0.954 forearm 0.88 0.038 0.794 0.88 0.835 0.985 head 0.845 0.018 0.885 0.845 0.864 0.982 shin 0.787 0.026 0.833 0.787 0.809 0.972 thigh 0.805 0.034 0.798 0.805 0.802 0.974 upperarm 0.79 0.038 0.778 0.79 0.784 0.97 waist Weighted Avg. 0.801 0.033 0.801 0.801 0.8 0.973 === Confusion Matrix === a b c d e f g <-- classified as 687 40 24 11 14 55 26 | a = chest 48 593 92 10 29 14 67 | b = forearm 11 55 754 0 10 9 18 | c = head 24 18 5 724 39 16 31 | d = shin 22 24 17 31 676 63 26 | e = thigh 56 26 9 28 23 689 25 | f = upperarm 38 41 49 14 21 17 678 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4770 79.5398 % Incorrectly Classified Instances 1227 20.4602 % Kappa statistic 0.7613 Mean absolute error 0.1014 Root mean squared error 0.2079 Relative absolute error 41.4215 % Root relative squared error 59.4191 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.802 0.043 0.758 0.802 0.779 0.972 chest 0.717 0.047 0.715 0.717 0.716 0.952 forearm 0.855 0.036 0.798 0.855 0.826 0.983 head 0.821 0.018 0.886 0.821 0.852 0.981 shin 0.803 0.025 0.844 0.803 0.823 0.976 thigh 0.786 0.03 0.816 0.786 0.801 0.971 upperarm 0.782 0.04 0.764 0.782 0.773 0.966 waist Weighted Avg. 0.795 0.034 0.797 0.795 0.796 0.972 === Confusion Matrix === a b c d e f g <-- classified as 688 50 22 7 7 41 43 | a = chest 61 612 73 13 26 19 49 | b = forearm 12 74 732 1 4 7 26 | c = head 23 14 9 704 47 24 36 | d = shin 31 22 15 32 690 46 23 | e = thigh 51 32 19 24 27 673 30 | f = upperarm 42 52 47 14 17 15 671 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4810 80.2068 % Incorrectly Classified Instances 1187 19.7932 % Kappa statistic 0.7691 Mean absolute error 0.1001 Root mean squared error 0.2062 Relative absolute error 40.8583 % Root relative squared error 58.9177 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.819 0.046 0.749 0.819 0.782 0.972 chest 0.708 0.043 0.734 0.708 0.72 0.955 forearm 0.861 0.032 0.818 0.861 0.839 0.984 head 0.846 0.018 0.884 0.846 0.865 0.981 shin 0.796 0.027 0.832 0.796 0.814 0.972 thigh 0.779 0.03 0.815 0.779 0.797 0.974 upperarm 0.804 0.036 0.79 0.804 0.797 0.969 waist Weighted Avg. 0.802 0.033 0.803 0.802 0.802 0.972 === Confusion Matrix === a b c d e f g <-- classified as 703 45 24 8 15 35 28 | a = chest 62 603 70 13 21 14 69 | b = forearm 14 62 737 0 11 10 22 | c = head 23 13 8 725 43 28 17 | d = shin 22 28 24 29 684 48 24 | e = thigh 64 31 8 27 36 668 23 | f = upperarm 51 40 30 18 12 17 690 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4777 79.6565 % Incorrectly Classified Instances 1220 20.3435 % Kappa statistic 0.7627 Mean absolute error 0.1024 Root mean squared error 0.2091 Relative absolute error 41.8172 % Root relative squared error 59.7508 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.807 0.046 0.747 0.807 0.776 0.968 chest 0.728 0.043 0.739 0.728 0.733 0.956 forearm 0.856 0.037 0.792 0.856 0.823 0.983 head 0.825 0.016 0.894 0.825 0.858 0.982 shin 0.773 0.026 0.833 0.773 0.802 0.966 thigh 0.799 0.034 0.798 0.799 0.799 0.97 upperarm 0.788 0.036 0.785 0.788 0.787 0.967 waist Weighted Avg. 0.797 0.034 0.798 0.797 0.797 0.97 === Confusion Matrix === a b c d e f g <-- classified as 692 52 25 5 8 42 34 | a = chest 67 620 73 7 21 19 45 | b = forearm 17 50 733 1 11 16 28 | c = head 22 14 12 707 46 29 27 | d = shin 24 29 24 35 664 54 29 | e = thigh 58 29 14 18 31 685 22 | f = upperarm 46 45 44 18 16 13 676 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4776 79.6398 % Incorrectly Classified Instances 1221 20.3602 % Kappa statistic 0.7625 Mean absolute error 0.1011 Root mean squared error 0.2071 Relative absolute error 41.2804 % Root relative squared error 59.192 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.812 0.048 0.737 0.812 0.772 0.971 chest 0.748 0.045 0.736 0.748 0.742 0.962 forearm 0.852 0.036 0.799 0.852 0.825 0.982 head 0.811 0.017 0.891 0.811 0.849 0.979 shin 0.783 0.025 0.84 0.783 0.811 0.972 thigh 0.782 0.034 0.795 0.782 0.788 0.97 upperarm 0.787 0.034 0.795 0.787 0.791 0.969 waist Weighted Avg. 0.796 0.034 0.799 0.796 0.797 0.972 === Confusion Matrix === a b c d e f g <-- classified as 696 37 23 6 6 61 28 | a = chest 62 638 70 9 21 9 44 | b = forearm 18 61 729 1 10 14 23 | c = head 24 21 9 696 48 34 26 | d = shin 29 33 17 35 672 48 24 | e = thigh 58 34 12 21 33 670 29 | f = upperarm 58 43 52 13 10 7 675 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4776 79.6398 % Incorrectly Classified Instances 1221 20.3602 % Kappa statistic 0.7625 Mean absolute error 0.1014 Root mean squared error 0.2084 Relative absolute error 41.4092 % Root relative squared error 59.5596 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.797 0.041 0.766 0.797 0.781 0.971 chest 0.734 0.045 0.732 0.734 0.733 0.956 forearm 0.87 0.042 0.774 0.87 0.82 0.982 head 0.829 0.018 0.882 0.829 0.855 0.981 shin 0.795 0.025 0.841 0.795 0.817 0.973 thigh 0.79 0.031 0.808 0.79 0.799 0.969 upperarm 0.76 0.035 0.783 0.76 0.771 0.967 waist Weighted Avg. 0.796 0.034 0.798 0.796 0.797 0.971 === Confusion Matrix === a b c d e f g <-- classified as 683 36 23 8 9 55 43 | a = chest 52 626 81 9 19 15 51 | b = forearm 14 70 745 1 4 8 14 | c = head 28 16 12 711 35 27 29 | d = shin 29 26 22 35 682 45 19 | e = thigh 45 35 18 16 41 677 25 | f = upperarm 41 46 61 26 21 11 652 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4772 79.5731 % Incorrectly Classified Instances 1225 20.4269 % Kappa statistic 0.7617 Mean absolute error 0.1015 Root mean squared error 0.2075 Relative absolute error 41.4639 % Root relative squared error 59.2943 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.781 0.048 0.732 0.781 0.756 0.969 chest 0.709 0.045 0.725 0.709 0.717 0.953 forearm 0.877 0.032 0.818 0.877 0.847 0.986 head 0.839 0.019 0.88 0.839 0.859 0.979 shin 0.779 0.028 0.824 0.779 0.8 0.971 thigh 0.79 0.033 0.798 0.79 0.794 0.975 upperarm 0.795 0.033 0.799 0.795 0.797 0.971 waist Weighted Avg. 0.796 0.034 0.797 0.796 0.796 0.972 === Confusion Matrix === a b c d e f g <-- classified as 669 50 21 8 16 50 43 | a = chest 74 605 71 7 23 28 45 | b = forearm 11 54 751 2 6 12 20 | c = head 31 18 5 720 42 21 21 | d = shin 19 35 22 52 668 47 15 | e = thigh 69 25 11 16 31 677 28 | f = upperarm 41 47 37 13 25 13 682 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4727 78.8359 % Incorrectly Classified Instances 1269 21.1641 % Kappa statistic 0.7531 Mean absolute error 0.1027 Root mean squared error 0.2092 Relative absolute error 41.9428 % Root relative squared error 59.7883 % Total Number of Instances 5996 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.785 0.049 0.727 0.785 0.755 0.969 chest 0.699 0.044 0.727 0.699 0.712 0.955 forearm 0.86 0.039 0.788 0.86 0.822 0.983 head 0.83 0.018 0.884 0.83 0.856 0.98 shin 0.807 0.026 0.839 0.807 0.822 0.975 thigh 0.782 0.034 0.795 0.782 0.788 0.972 upperarm 0.756 0.038 0.769 0.756 0.763 0.964 waist Weighted Avg. 0.788 0.035 0.79 0.788 0.788 0.971 === Confusion Matrix === a b c d e f g <-- classified as 673 40 20 7 19 61 37 | a = chest 67 596 85 12 19 19 55 | b = forearm 22 49 736 2 9 10 28 | c = head 26 28 7 712 37 27 21 | d = shin 21 20 20 38 692 40 27 | e = thigh 60 38 7 23 32 669 27 | f = upperarm 57 49 59 11 17 16 649 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 1 FOLD: 0 Correctly Classified Instances 4764 79.4397 % Incorrectly Classified Instances 1233 20.5603 % Kappa statistic 0.7601 Mean absolute error 0.1018 Root mean squared error 0.2082 Relative absolute error 41.5503 % Root relative squared error 59.4957 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.807 0.045 0.748 0.807 0.777 0.973 chest 0.7 0.045 0.722 0.7 0.711 0.95 forearm 0.868 0.034 0.811 0.868 0.839 0.982 head 0.823 0.015 0.904 0.823 0.862 0.975 shin 0.782 0.025 0.842 0.782 0.811 0.972 thigh 0.788 0.035 0.79 0.788 0.789 0.973 upperarm 0.793 0.042 0.757 0.793 0.774 0.967 waist Weighted Avg. 0.794 0.034 0.797 0.794 0.795 0.97 === Confusion Matrix === a b c d e f g <-- classified as 692 44 15 2 9 52 43 | a = chest 63 596 75 17 20 21 60 | b = forearm 14 55 743 1 7 10 26 | c = head 26 22 8 706 40 29 27 | d = shin 26 31 13 24 672 55 38 | e = thigh 57 37 10 17 37 675 24 | f = upperarm 47 40 52 14 13 12 680 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4801 80.0567 % Incorrectly Classified Instances 1196 19.9433 % Kappa statistic 0.7673 Mean absolute error 0.0997 Root mean squared error 0.2053 Relative absolute error 40.6972 % Root relative squared error 58.6783 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.807 0.043 0.759 0.807 0.782 0.973 chest 0.713 0.045 0.723 0.713 0.718 0.954 forearm 0.854 0.035 0.804 0.854 0.828 0.983 head 0.841 0.019 0.881 0.841 0.861 0.982 shin 0.787 0.025 0.838 0.787 0.812 0.973 thigh 0.805 0.031 0.814 0.805 0.809 0.974 upperarm 0.796 0.035 0.792 0.796 0.794 0.973 waist Weighted Avg. 0.801 0.033 0.802 0.801 0.801 0.973 === Confusion Matrix === a b c d e f g <-- classified as 692 47 18 8 12 49 31 | a = chest 62 608 81 8 25 14 55 | b = forearm 20 68 731 2 9 8 18 | c = head 27 17 8 721 38 28 18 | d = shin 24 21 19 41 676 46 32 | e = thigh 46 27 9 23 37 690 25 | f = upperarm 41 53 43 15 10 13 683 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4755 79.2896 % Incorrectly Classified Instances 1242 20.7104 % Kappa statistic 0.7584 Mean absolute error 0.1024 Root mean squared error 0.2086 Relative absolute error 41.8288 % Root relative squared error 59.6244 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.757 0.049 0.719 0.757 0.738 0.962 chest 0.723 0.049 0.712 0.723 0.717 0.958 forearm 0.876 0.035 0.808 0.876 0.841 0.983 head 0.824 0.017 0.89 0.824 0.856 0.98 shin 0.809 0.024 0.849 0.809 0.828 0.972 thigh 0.774 0.031 0.808 0.774 0.79 0.972 upperarm 0.787 0.037 0.779 0.787 0.783 0.971 waist Weighted Avg. 0.793 0.035 0.795 0.793 0.793 0.971 === Confusion Matrix === a b c d e f g <-- classified as 649 63 23 10 15 50 47 | a = chest 65 617 82 12 9 18 50 | b = forearm 13 47 750 1 9 14 22 | c = head 22 27 8 706 43 26 25 | d = shin 23 36 15 30 695 41 19 | e = thigh 73 31 7 24 31 663 28 | f = upperarm 58 46 43 10 17 9 675 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4789 79.8566 % Incorrectly Classified Instances 1208 20.1434 % Kappa statistic 0.765 Mean absolute error 0.1011 Root mean squared error 0.2077 Relative absolute error 41.2796 % Root relative squared error 59.3487 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.79 0.046 0.742 0.79 0.765 0.968 chest 0.719 0.038 0.756 0.719 0.737 0.958 forearm 0.88 0.038 0.793 0.88 0.834 0.984 head 0.814 0.02 0.873 0.814 0.842 0.978 shin 0.764 0.025 0.835 0.764 0.798 0.967 thigh 0.82 0.032 0.81 0.82 0.815 0.975 upperarm 0.803 0.035 0.792 0.803 0.797 0.97 waist Weighted Avg. 0.799 0.034 0.8 0.799 0.798 0.972 === Confusion Matrix === a b c d e f g <-- classified as 677 54 24 10 12 50 30 | a = chest 67 613 87 9 19 14 44 | b = forearm 9 35 753 5 9 12 33 | c = head 24 16 10 698 45 31 33 | d = shin 32 32 25 45 656 48 21 | e = thigh 54 21 8 20 31 703 20 | f = upperarm 49 40 43 13 14 10 689 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4679 78.0223 % Incorrectly Classified Instances 1318 21.9777 % Kappa statistic 0.7436 Mean absolute error 0.1037 Root mean squared error 0.2112 Relative absolute error 42.3543 % Root relative squared error 60.3639 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.779 0.048 0.731 0.779 0.754 0.967 chest 0.691 0.048 0.705 0.691 0.698 0.95 forearm 0.852 0.041 0.776 0.852 0.812 0.982 head 0.821 0.018 0.882 0.821 0.851 0.978 shin 0.775 0.027 0.826 0.775 0.8 0.974 thigh 0.783 0.038 0.777 0.783 0.78 0.972 upperarm 0.76 0.037 0.776 0.76 0.768 0.964 waist Weighted Avg. 0.78 0.037 0.782 0.78 0.78 0.97 === Confusion Matrix === a b c d e f g <-- classified as 668 54 28 12 10 42 43 | a = chest 71 589 82 9 25 26 51 | b = forearm 16 64 729 2 6 13 26 | c = head 29 23 8 704 40 27 26 | d = shin 21 27 22 38 666 63 22 | e = thigh 61 31 21 19 34 671 20 | f = upperarm 48 47 50 14 25 22 652 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4801 80.0567 % Incorrectly Classified Instances 1196 19.9433 % Kappa statistic 0.7673 Mean absolute error 0.1008 Root mean squared error 0.2064 Relative absolute error 41.1452 % Root relative squared error 58.9711 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.819 0.042 0.766 0.819 0.792 0.974 chest 0.726 0.048 0.716 0.726 0.721 0.955 forearm 0.871 0.036 0.8 0.871 0.834 0.984 head 0.839 0.018 0.888 0.839 0.863 0.98 shin 0.795 0.026 0.836 0.795 0.815 0.972 thigh 0.776 0.03 0.814 0.776 0.794 0.974 upperarm 0.777 0.034 0.793 0.777 0.785 0.968 waist Weighted Avg. 0.801 0.033 0.802 0.801 0.801 0.972 === Confusion Matrix === a b c d e f g <-- classified as 702 47 16 7 7 49 29 | a = chest 50 619 85 9 26 17 47 | b = forearm 17 61 746 0 8 6 18 | c = head 24 18 12 720 42 20 22 | d = shin 26 27 14 35 683 46 28 | e = thigh 51 36 13 27 35 664 30 | f = upperarm 46 56 46 13 16 14 667 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4735 78.9561 % Incorrectly Classified Instances 1262 21.0439 % Kappa statistic 0.7545 Mean absolute error 0.1024 Root mean squared error 0.2096 Relative absolute error 41.8308 % Root relative squared error 59.9014 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.802 0.045 0.748 0.802 0.774 0.97 chest 0.722 0.046 0.722 0.722 0.722 0.955 forearm 0.852 0.039 0.783 0.852 0.816 0.982 head 0.829 0.018 0.882 0.829 0.855 0.981 shin 0.77 0.031 0.805 0.77 0.787 0.967 thigh 0.779 0.027 0.827 0.779 0.802 0.971 upperarm 0.773 0.038 0.772 0.773 0.772 0.967 waist Weighted Avg. 0.79 0.035 0.791 0.79 0.79 0.971 === Confusion Matrix === a b c d e f g <-- classified as 688 42 28 4 19 46 31 | a = chest 59 616 77 8 24 16 53 | b = forearm 12 69 729 2 3 14 27 | c = head 23 14 9 711 53 19 29 | d = shin 27 27 23 49 661 36 35 | e = thigh 57 40 11 19 41 667 21 | f = upperarm 54 45 54 13 20 9 663 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4818 80.3402 % Incorrectly Classified Instances 1179 19.6598 % Kappa statistic 0.7706 Mean absolute error 0.0994 Root mean squared error 0.205 Relative absolute error 40.5952 % Root relative squared error 58.5701 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.793 0.04 0.77 0.793 0.781 0.969 chest 0.742 0.039 0.757 0.742 0.75 0.962 forearm 0.877 0.037 0.8 0.877 0.837 0.984 head 0.834 0.018 0.887 0.834 0.86 0.983 shin 0.795 0.027 0.829 0.795 0.811 0.972 thigh 0.773 0.036 0.78 0.773 0.777 0.97 upperarm 0.809 0.032 0.807 0.809 0.808 0.972 waist Weighted Avg. 0.803 0.033 0.804 0.803 0.803 0.973 === Confusion Matrix === a b c d e f g <-- classified as 680 38 27 13 13 59 28 | a = chest 54 633 72 11 22 19 42 | b = forearm 10 53 752 2 17 5 18 | c = head 20 17 12 716 41 27 25 | d = shin 27 28 16 21 682 56 28 | e = thigh 61 34 15 26 33 662 25 | f = upperarm 31 33 46 18 15 21 693 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4761 79.3897 % Incorrectly Classified Instances 1236 20.6103 % Kappa statistic 0.7595 Mean absolute error 0.1018 Root mean squared error 0.2086 Relative absolute error 41.5641 % Root relative squared error 59.6039 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.81 0.044 0.756 0.81 0.782 0.972 chest 0.717 0.041 0.742 0.717 0.729 0.953 forearm 0.851 0.036 0.798 0.851 0.823 0.981 head 0.821 0.017 0.889 0.821 0.853 0.981 shin 0.805 0.03 0.817 0.805 0.811 0.968 thigh 0.79 0.032 0.804 0.79 0.797 0.973 upperarm 0.763 0.04 0.76 0.763 0.762 0.963 waist Weighted Avg. 0.794 0.034 0.795 0.794 0.794 0.97 === Confusion Matrix === a b c d e f g <-- classified as 695 49 16 5 13 52 28 | a = chest 65 612 71 13 22 18 52 | b = forearm 17 58 729 3 11 13 26 | c = head 28 11 8 704 42 20 45 | d = shin 21 22 25 33 691 45 21 | e = thigh 49 21 14 18 44 676 34 | f = upperarm 44 52 51 16 23 17 654 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4745 79.1361 % Incorrectly Classified Instances 1251 20.8639 % Kappa statistic 0.7566 Mean absolute error 0.1026 Root mean squared error 0.2095 Relative absolute error 41.9035 % Root relative squared error 59.8668 % Total Number of Instances 5996 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.779 0.038 0.772 0.779 0.776 0.971 chest 0.719 0.043 0.733 0.719 0.726 0.952 forearm 0.86 0.039 0.787 0.86 0.822 0.983 head 0.833 0.02 0.873 0.833 0.853 0.982 shin 0.784 0.028 0.822 0.784 0.803 0.971 thigh 0.782 0.034 0.791 0.782 0.786 0.971 upperarm 0.781 0.04 0.766 0.781 0.773 0.968 waist Weighted Avg. 0.791 0.035 0.792 0.791 0.791 0.971 === Confusion Matrix === a b c d e f g <-- classified as 668 46 22 5 13 55 48 | a = chest 52 613 82 8 28 17 52 | b = forearm 11 56 737 2 14 13 24 | c = head 21 10 8 715 46 25 33 | d = shin 23 28 21 42 673 51 20 | e = thigh 52 31 16 32 28 669 28 | f = upperarm 38 52 50 15 17 16 670 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 2 FOLD: 0 Correctly Classified Instances 4765 79.4564 % Incorrectly Classified Instances 1232 20.5436 % Kappa statistic 0.7603 Mean absolute error 0.1015 Root mean squared error 0.2072 Relative absolute error 41.4314 % Root relative squared error 59.2203 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.825 0.045 0.754 0.825 0.788 0.975 chest 0.712 0.046 0.719 0.712 0.715 0.95 forearm 0.841 0.039 0.781 0.841 0.81 0.982 head 0.825 0.017 0.889 0.825 0.856 0.98 shin 0.781 0.024 0.846 0.781 0.812 0.97 thigh 0.81 0.034 0.798 0.81 0.804 0.975 upperarm 0.768 0.034 0.789 0.768 0.778 0.971 waist Weighted Avg. 0.795 0.034 0.797 0.795 0.795 0.972 === Confusion Matrix === a b c d e f g <-- classified as 708 37 20 7 12 47 27 | a = chest 70 607 74 13 25 18 46 | b = forearm 15 72 720 0 8 14 27 | c = head 22 16 7 707 38 34 33 | d = shin 30 32 26 30 671 50 20 | e = thigh 50 34 15 20 21 694 23 | f = upperarm 44 46 60 18 18 13 658 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4752 79.2396 % Incorrectly Classified Instances 1245 20.7604 % Kappa statistic 0.7578 Mean absolute error 0.1016 Root mean squared error 0.2081 Relative absolute error 41.4853 % Root relative squared error 59.459 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.794 0.044 0.75 0.794 0.771 0.969 chest 0.742 0.051 0.706 0.742 0.723 0.953 forearm 0.868 0.035 0.803 0.868 0.834 0.985 head 0.82 0.019 0.877 0.82 0.847 0.982 shin 0.777 0.024 0.844 0.777 0.809 0.972 thigh 0.776 0.03 0.814 0.776 0.795 0.975 upperarm 0.769 0.039 0.769 0.769 0.769 0.966 waist Weighted Avg. 0.792 0.035 0.795 0.792 0.793 0.972 === Confusion Matrix === a b c d e f g <-- classified as 681 58 24 7 6 39 43 | a = chest 53 633 77 12 21 17 40 | b = forearm 11 61 743 2 8 7 24 | c = head 24 19 7 703 45 30 29 | d = shin 22 32 17 41 667 43 36 | e = thigh 72 39 7 21 27 665 26 | f = upperarm 45 55 50 16 16 16 660 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4808 80.1734 % Incorrectly Classified Instances 1189 19.8266 % Kappa statistic 0.7687 Mean absolute error 0.1013 Root mean squared error 0.207 Relative absolute error 41.3689 % Root relative squared error 59.1567 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.793 0.044 0.752 0.793 0.772 0.967 chest 0.722 0.043 0.737 0.722 0.729 0.957 forearm 0.865 0.035 0.805 0.865 0.834 0.984 head 0.827 0.015 0.903 0.827 0.864 0.981 shin 0.79 0.028 0.825 0.79 0.807 0.975 thigh 0.797 0.031 0.812 0.797 0.804 0.971 upperarm 0.817 0.036 0.789 0.817 0.803 0.974 waist Weighted Avg. 0.802 0.033 0.803 0.802 0.802 0.973 === Confusion Matrix === a b c d e f g <-- classified as 680 56 21 8 16 43 33 | a = chest 62 616 71 10 21 19 54 | b = forearm 9 64 741 0 11 10 22 | c = head 30 7 15 709 42 28 26 | d = shin 23 28 20 34 678 47 28 | e = thigh 56 28 16 14 36 683 24 | f = upperarm 44 37 37 10 18 11 701 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4746 79.1396 % Incorrectly Classified Instances 1251 20.8604 % Kappa statistic 0.7566 Mean absolute error 0.1032 Root mean squared error 0.21 Relative absolute error 42.1562 % Root relative squared error 60.0112 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.789 0.042 0.756 0.789 0.772 0.969 chest 0.712 0.041 0.741 0.712 0.726 0.957 forearm 0.869 0.039 0.787 0.869 0.826 0.982 head 0.814 0.016 0.895 0.814 0.852 0.98 shin 0.78 0.03 0.814 0.78 0.796 0.968 thigh 0.768 0.034 0.792 0.768 0.779 0.968 upperarm 0.809 0.041 0.767 0.809 0.787 0.969 waist Weighted Avg. 0.791 0.035 0.793 0.791 0.791 0.97 === Confusion Matrix === a b c d e f g <-- classified as 676 44 27 4 9 57 40 | a = chest 54 607 78 8 25 20 61 | b = forearm 13 53 745 1 10 8 27 | c = head 23 24 13 698 49 27 24 | d = shin 30 26 22 40 669 44 27 | e = thigh 61 29 20 17 40 657 32 | f = upperarm 37 36 42 12 20 17 694 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4764 79.4397 % Incorrectly Classified Instances 1233 20.5603 % Kappa statistic 0.7601 Mean absolute error 0.1016 Root mean squared error 0.2085 Relative absolute error 41.4796 % Root relative squared error 59.5908 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.788 0.044 0.75 0.788 0.768 0.968 chest 0.735 0.043 0.739 0.735 0.737 0.958 forearm 0.866 0.035 0.804 0.866 0.834 0.984 head 0.844 0.022 0.866 0.844 0.855 0.981 shin 0.781 0.027 0.826 0.781 0.803 0.969 thigh 0.78 0.03 0.814 0.78 0.797 0.971 upperarm 0.767 0.039 0.767 0.767 0.767 0.964 waist Weighted Avg. 0.794 0.034 0.795 0.794 0.794 0.971 === Confusion Matrix === a b c d e f g <-- classified as 675 47 15 9 12 53 46 | a = chest 57 627 75 6 30 13 45 | b = forearm 12 58 742 3 8 9 25 | c = head 20 12 6 724 44 24 28 | d = shin 20 31 21 45 670 43 28 | e = thigh 55 31 14 26 34 668 28 | f = upperarm 61 42 50 23 13 11 658 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4761 79.3897 % Incorrectly Classified Instances 1236 20.6103 % Kappa statistic 0.7595 Mean absolute error 0.101 Root mean squared error 0.2077 Relative absolute error 41.2261 % Root relative squared error 59.3535 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.805 0.045 0.749 0.805 0.776 0.972 chest 0.685 0.044 0.723 0.685 0.703 0.952 forearm 0.874 0.035 0.806 0.874 0.839 0.982 head 0.836 0.017 0.89 0.836 0.862 0.98 shin 0.786 0.029 0.821 0.786 0.803 0.971 thigh 0.799 0.038 0.779 0.799 0.789 0.975 upperarm 0.773 0.033 0.795 0.773 0.784 0.969 waist Weighted Avg. 0.794 0.034 0.795 0.794 0.794 0.971 === Confusion Matrix === a b c d e f g <-- classified as 690 52 15 2 11 59 28 | a = chest 69 584 85 15 24 27 49 | b = forearm 14 49 748 1 11 14 19 | c = head 23 20 5 717 39 23 31 | d = shin 28 21 20 40 675 53 22 | e = thigh 50 25 10 23 42 684 22 | f = upperarm 47 57 45 8 20 18 663 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4773 79.5898 % Incorrectly Classified Instances 1224 20.4102 % Kappa statistic 0.7619 Mean absolute error 0.1009 Root mean squared error 0.2074 Relative absolute error 41.1872 % Root relative squared error 59.2781 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.798 0.047 0.739 0.798 0.767 0.97 chest 0.705 0.042 0.734 0.705 0.719 0.953 forearm 0.864 0.038 0.793 0.864 0.827 0.982 head 0.832 0.017 0.893 0.832 0.861 0.981 shin 0.81 0.026 0.84 0.81 0.825 0.974 thigh 0.78 0.034 0.791 0.78 0.786 0.972 upperarm 0.781 0.034 0.792 0.781 0.786 0.968 waist Weighted Avg. 0.796 0.034 0.797 0.796 0.796 0.972 === Confusion Matrix === a b c d e f g <-- classified as 684 46 33 8 16 52 18 | a = chest 69 601 72 7 20 17 67 | b = forearm 14 57 740 2 7 12 24 | c = head 31 18 10 714 37 25 23 | d = shin 26 17 14 29 696 51 26 | e = thigh 50 38 16 27 39 668 18 | f = upperarm 52 42 48 13 14 19 670 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4781 79.7232 % Incorrectly Classified Instances 1216 20.2768 % Kappa statistic 0.7634 Mean absolute error 0.1017 Root mean squared error 0.2084 Relative absolute error 41.509 % Root relative squared error 59.5488 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.799 0.046 0.744 0.799 0.771 0.969 chest 0.712 0.04 0.747 0.712 0.729 0.955 forearm 0.873 0.038 0.794 0.873 0.831 0.983 head 0.832 0.019 0.877 0.832 0.854 0.976 shin 0.796 0.024 0.845 0.796 0.82 0.971 thigh 0.792 0.03 0.814 0.792 0.803 0.973 upperarm 0.776 0.039 0.769 0.776 0.773 0.966 waist Weighted Avg. 0.797 0.034 0.799 0.797 0.797 0.971 === Confusion Matrix === a b c d e f g <-- classified as 685 45 20 8 12 54 33 | a = chest 48 607 80 12 19 21 66 | b = forearm 25 45 747 2 8 6 23 | c = head 24 23 13 714 40 18 26 | d = shin 31 20 17 37 684 45 25 | e = thigh 59 30 6 23 33 678 27 | f = upperarm 49 43 58 18 13 11 666 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4774 79.6065 % Incorrectly Classified Instances 1223 20.3935 % Kappa statistic 0.7621 Mean absolute error 0.1018 Root mean squared error 0.2079 Relative absolute error 41.5563 % Root relative squared error 59.4243 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.791 0.046 0.742 0.791 0.766 0.969 chest 0.728 0.042 0.742 0.728 0.735 0.956 forearm 0.871 0.036 0.803 0.871 0.836 0.984 head 0.853 0.023 0.863 0.853 0.858 0.98 shin 0.768 0.027 0.825 0.768 0.796 0.969 thigh 0.777 0.032 0.802 0.777 0.79 0.968 upperarm 0.783 0.033 0.8 0.783 0.792 0.97 waist Weighted Avg. 0.796 0.034 0.797 0.796 0.796 0.971 === Confusion Matrix === a b c d e f g <-- classified as 678 34 22 9 15 63 36 | a = chest 64 620 76 11 25 17 39 | b = forearm 16 62 746 2 5 9 16 | c = head 22 18 8 732 39 17 22 | d = shin 30 31 19 44 660 48 27 | e = thigh 63 23 11 30 36 666 28 | f = upperarm 41 48 47 20 20 10 672 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4783 79.7698 % Incorrectly Classified Instances 1213 20.2302 % Kappa statistic 0.764 Mean absolute error 0.1006 Root mean squared error 0.2068 Relative absolute error 41.0978 % Root relative squared error 59.0925 % Total Number of Instances 5996 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.788 0.045 0.747 0.788 0.767 0.968 chest 0.729 0.042 0.742 0.729 0.735 0.957 forearm 0.873 0.037 0.798 0.873 0.834 0.983 head 0.8 0.017 0.887 0.8 0.842 0.98 shin 0.804 0.026 0.839 0.804 0.821 0.974 thigh 0.789 0.031 0.809 0.789 0.799 0.976 upperarm 0.8 0.039 0.775 0.8 0.788 0.97 waist Weighted Avg. 0.798 0.034 0.8 0.798 0.798 0.973 === Confusion Matrix === a b c d e f g <-- classified as 676 52 22 6 13 45 44 | a = chest 62 621 76 7 17 14 55 | b = forearm 12 53 747 1 6 15 22 | c = head 24 22 9 686 46 35 35 | d = shin 19 26 21 40 691 41 21 | e = thigh 59 28 11 19 42 676 22 | f = upperarm 53 35 50 14 9 10 686 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 3 FOLD: 0 Correctly Classified Instances 4790 79.8733 % Incorrectly Classified Instances 1207 20.1267 % Kappa statistic 0.7652 Mean absolute error 0.1007 Root mean squared error 0.2065 Relative absolute error 41.1067 % Root relative squared error 59.0111 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.782 0.042 0.755 0.782 0.768 0.968 chest 0.739 0.045 0.732 0.739 0.735 0.96 forearm 0.86 0.036 0.799 0.86 0.828 0.983 head 0.834 0.017 0.891 0.834 0.862 0.98 shin 0.804 0.023 0.855 0.804 0.829 0.972 thigh 0.783 0.034 0.792 0.783 0.787 0.971 upperarm 0.789 0.037 0.779 0.789 0.784 0.969 waist Weighted Avg. 0.799 0.034 0.8 0.799 0.799 0.972 === Confusion Matrix === a b c d e f g <-- classified as 671 45 23 6 8 69 36 | a = chest 58 630 78 10 19 11 47 | b = forearm 9 60 736 0 8 10 33 | c = head 22 27 15 716 32 21 25 | d = shin 22 16 16 38 690 52 24 | e = thigh 59 34 12 19 35 670 27 | f = upperarm 48 49 41 15 15 13 677 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4798 80.0067 % Incorrectly Classified Instances 1199 19.9933 % Kappa statistic 0.7667 Mean absolute error 0.1006 Root mean squared error 0.2068 Relative absolute error 41.0855 % Root relative squared error 59.091 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.786 0.042 0.758 0.786 0.772 0.969 chest 0.727 0.045 0.728 0.727 0.727 0.956 forearm 0.873 0.034 0.812 0.873 0.841 0.983 head 0.847 0.018 0.884 0.847 0.865 0.981 shin 0.773 0.025 0.836 0.773 0.803 0.97 thigh 0.794 0.032 0.806 0.794 0.8 0.974 upperarm 0.801 0.037 0.782 0.801 0.791 0.97 waist Weighted Avg. 0.8 0.033 0.801 0.8 0.8 0.972 === Confusion Matrix === a b c d e f g <-- classified as 674 52 17 4 17 59 35 | a = chest 55 619 73 9 29 13 54 | b = forearm 13 49 748 1 8 11 27 | c = head 28 14 3 727 35 25 26 | d = shin 26 42 19 39 663 49 20 | e = thigh 52 26 16 22 31 680 29 | f = upperarm 41 48 45 20 10 7 687 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4804 80.1067 % Incorrectly Classified Instances 1193 19.8933 % Kappa statistic 0.7679 Mean absolute error 0.1004 Root mean squared error 0.2059 Relative absolute error 40.98 % Root relative squared error 58.8443 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.803 0.04 0.771 0.803 0.787 0.972 chest 0.734 0.044 0.733 0.734 0.733 0.961 forearm 0.879 0.038 0.793 0.879 0.833 0.985 head 0.816 0.019 0.879 0.816 0.846 0.977 shin 0.794 0.027 0.833 0.794 0.813 0.972 thigh 0.78 0.031 0.809 0.78 0.794 0.974 upperarm 0.802 0.033 0.8 0.802 0.801 0.972 waist Weighted Avg. 0.801 0.033 0.802 0.801 0.801 0.973 === Confusion Matrix === a b c d e f g <-- classified as 689 56 24 5 11 45 28 | a = chest 46 625 76 14 20 21 50 | b = forearm 14 54 753 0 6 10 20 | c = head 20 25 10 700 51 23 29 | d = shin 20 27 19 42 681 47 22 | e = thigh 65 23 14 26 37 668 23 | f = upperarm 40 43 54 9 12 12 688 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4779 79.6898 % Incorrectly Classified Instances 1218 20.3102 % Kappa statistic 0.763 Mean absolute error 0.1018 Root mean squared error 0.2077 Relative absolute error 41.5794 % Root relative squared error 59.359 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.798 0.047 0.739 0.798 0.767 0.969 chest 0.705 0.038 0.752 0.705 0.728 0.958 forearm 0.876 0.04 0.785 0.876 0.828 0.984 head 0.816 0.018 0.886 0.816 0.849 0.981 shin 0.799 0.03 0.815 0.799 0.807 0.972 thigh 0.803 0.031 0.811 0.803 0.807 0.976 upperarm 0.782 0.032 0.802 0.782 0.792 0.97 waist Weighted Avg. 0.797 0.034 0.798 0.797 0.797 0.973 === Confusion Matrix === a b c d e f g <-- classified as 684 43 25 10 21 45 29 | a = chest 73 601 88 9 26 8 48 | b = forearm 15 48 751 2 6 20 15 | c = head 23 16 12 699 54 25 28 | d = shin 27 20 13 37 686 48 28 | e = thigh 49 39 11 19 33 687 18 | f = upperarm 55 32 57 13 16 14 671 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4741 79.0562 % Incorrectly Classified Instances 1256 20.9438 % Kappa statistic 0.7557 Mean absolute error 0.1027 Root mean squared error 0.2096 Relative absolute error 41.9269 % Root relative squared error 59.8907 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.796 0.051 0.724 0.796 0.758 0.969 chest 0.696 0.042 0.735 0.696 0.715 0.954 forearm 0.876 0.035 0.805 0.876 0.839 0.983 head 0.828 0.016 0.895 0.828 0.861 0.978 shin 0.783 0.026 0.833 0.783 0.807 0.974 thigh 0.777 0.034 0.792 0.777 0.784 0.972 upperarm 0.776 0.04 0.763 0.776 0.769 0.963 waist Weighted Avg. 0.791 0.035 0.792 0.791 0.791 0.97 === Confusion Matrix === a b c d e f g <-- classified as 682 44 18 9 15 52 37 | a = chest 77 594 72 12 21 16 61 | b = forearm 18 41 750 0 12 10 25 | c = head 22 19 11 710 35 31 29 | d = shin 32 22 25 31 673 51 25 | e = thigh 64 31 10 17 39 666 30 | f = upperarm 47 57 46 14 13 15 666 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4772 79.5731 % Incorrectly Classified Instances 1225 20.4269 % Kappa statistic 0.7617 Mean absolute error 0.1011 Root mean squared error 0.2073 Relative absolute error 41.2866 % Root relative squared error 59.2408 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.8 0.046 0.745 0.8 0.772 0.971 chest 0.728 0.042 0.743 0.728 0.735 0.955 forearm 0.854 0.039 0.787 0.854 0.819 0.981 head 0.807 0.018 0.883 0.807 0.843 0.981 shin 0.801 0.03 0.817 0.801 0.809 0.97 thigh 0.777 0.029 0.815 0.777 0.796 0.972 upperarm 0.802 0.035 0.793 0.802 0.797 0.97 waist Weighted Avg. 0.796 0.034 0.797 0.796 0.796 0.972 === Confusion Matrix === a b c d e f g <-- classified as 686 46 30 9 9 38 39 | a = chest 53 621 84 13 32 16 34 | b = forearm 23 69 731 1 8 6 18 | c = head 29 10 7 692 48 36 35 | d = shin 26 28 25 30 688 40 22 | e = thigh 52 32 16 22 37 666 32 | f = upperarm 52 30 36 17 20 15 688 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4711 78.5559 % Incorrectly Classified Instances 1286 21.4441 % Kappa statistic 0.7498 Mean absolute error 0.1028 Root mean squared error 0.2109 Relative absolute error 41.9928 % Root relative squared error 60.2584 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.805 0.049 0.734 0.805 0.768 0.969 chest 0.701 0.048 0.706 0.701 0.704 0.949 forearm 0.854 0.037 0.794 0.854 0.823 0.981 head 0.824 0.018 0.887 0.824 0.854 0.982 shin 0.772 0.028 0.823 0.772 0.796 0.967 thigh 0.771 0.038 0.773 0.771 0.772 0.968 upperarm 0.772 0.033 0.796 0.772 0.783 0.968 waist Weighted Avg. 0.786 0.036 0.788 0.786 0.786 0.969 === Confusion Matrix === a b c d e f g <-- classified as 690 54 15 2 11 62 23 | a = chest 61 598 86 10 26 17 55 | b = forearm 16 66 731 1 10 14 18 | c = head 23 18 8 706 43 33 26 | d = shin 29 39 20 34 663 47 27 | e = thigh 68 31 13 26 37 661 21 | f = upperarm 53 41 48 17 16 21 662 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4744 79.1062 % Incorrectly Classified Instances 1253 20.8938 % Kappa statistic 0.7562 Mean absolute error 0.1017 Root mean squared error 0.2084 Relative absolute error 41.5298 % Root relative squared error 59.543 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.797 0.046 0.742 0.797 0.768 0.968 chest 0.68 0.041 0.731 0.68 0.705 0.951 forearm 0.848 0.039 0.786 0.848 0.816 0.982 head 0.832 0.019 0.877 0.832 0.854 0.981 shin 0.767 0.026 0.83 0.767 0.797 0.97 thigh 0.817 0.032 0.808 0.817 0.813 0.977 upperarm 0.796 0.039 0.771 0.796 0.783 0.967 waist Weighted Avg. 0.791 0.035 0.792 0.791 0.791 0.971 === Confusion Matrix === a b c d e f g <-- classified as 683 44 23 7 11 57 32 | a = chest 72 580 90 16 23 15 57 | b = forearm 15 60 726 2 9 9 35 | c = head 20 14 8 714 49 20 33 | d = shin 33 27 24 40 659 52 24 | e = thigh 53 31 8 19 24 700 22 | f = upperarm 45 37 45 16 19 13 682 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4756 79.3063 % Incorrectly Classified Instances 1241 20.6937 % Kappa statistic 0.7586 Mean absolute error 0.1022 Root mean squared error 0.2092 Relative absolute error 41.7329 % Root relative squared error 59.7868 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.812 0.042 0.763 0.812 0.787 0.971 chest 0.7 0.047 0.712 0.7 0.706 0.948 forearm 0.856 0.039 0.787 0.856 0.82 0.98 head 0.84 0.016 0.9 0.84 0.869 0.982 shin 0.794 0.028 0.825 0.794 0.809 0.973 thigh 0.779 0.031 0.81 0.779 0.794 0.968 upperarm 0.769 0.04 0.764 0.769 0.766 0.967 waist Weighted Avg. 0.793 0.034 0.795 0.793 0.793 0.97 === Confusion Matrix === a b c d e f g <-- classified as 696 46 29 8 8 35 35 | a = chest 62 597 76 8 23 27 60 | b = forearm 6 62 733 3 9 12 31 | c = head 22 22 8 721 44 19 22 | d = shin 27 25 14 31 682 46 34 | e = thigh 55 37 11 20 44 668 22 | f = upperarm 44 49 60 10 17 18 659 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4793 79.9366 % Incorrectly Classified Instances 1203 20.0634 % Kappa statistic 0.7659 Mean absolute error 0.1019 Root mean squared error 0.2075 Relative absolute error 41.6031 % Root relative squared error 59.3009 % Total Number of Instances 5996 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.79 0.04 0.765 0.79 0.777 0.971 chest 0.751 0.041 0.751 0.751 0.751 0.96 forearm 0.863 0.035 0.805 0.863 0.833 0.983 head 0.832 0.021 0.87 0.832 0.851 0.979 shin 0.794 0.028 0.826 0.794 0.81 0.97 thigh 0.784 0.033 0.799 0.784 0.791 0.973 upperarm 0.781 0.036 0.785 0.781 0.783 0.971 waist Weighted Avg. 0.799 0.033 0.8 0.799 0.799 0.972 === Confusion Matrix === a b c d e f g <-- classified as 677 36 22 12 15 49 46 | a = chest 46 641 67 8 28 22 41 | b = forearm 12 55 739 3 8 11 28 | c = head 30 16 8 714 45 19 26 | d = shin 27 29 23 33 681 46 19 | e = thigh 52 35 12 29 33 671 24 | f = upperarm 41 42 47 22 14 22 670 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 4 FOLD: 0 Correctly Classified Instances 4720 78.706 % Incorrectly Classified Instances 1277 21.294 % Kappa statistic 0.7516 Mean absolute error 0.104 Root mean squared error 0.2113 Relative absolute error 42.4683 % Root relative squared error 60.3925 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.752 0.047 0.726 0.752 0.738 0.963 chest 0.668 0.043 0.721 0.668 0.693 0.947 forearm 0.872 0.039 0.788 0.872 0.828 0.982 head 0.833 0.019 0.881 0.833 0.856 0.978 shin 0.787 0.029 0.821 0.787 0.804 0.974 thigh 0.792 0.032 0.803 0.792 0.798 0.971 upperarm 0.805 0.039 0.774 0.805 0.789 0.971 waist Weighted Avg. 0.787 0.035 0.788 0.787 0.787 0.969 === Confusion Matrix === a b c d e f g <-- classified as 645 55 23 8 22 61 44 | a = chest 75 570 94 10 27 19 58 | b = forearm 16 50 747 5 3 11 25 | c = head 30 19 6 715 45 22 21 | d = shin 23 25 24 35 675 43 33 | e = thigh 66 29 12 16 35 678 20 | f = upperarm 34 43 42 23 15 10 690 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4763 79.423 % Incorrectly Classified Instances 1234 20.577 % Kappa statistic 0.7599 Mean absolute error 0.1026 Root mean squared error 0.2087 Relative absolute error 41.8763 % Root relative squared error 59.655 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.784 0.047 0.734 0.784 0.758 0.965 chest 0.719 0.047 0.716 0.719 0.718 0.956 forearm 0.855 0.035 0.805 0.855 0.829 0.982 head 0.816 0.014 0.904 0.816 0.858 0.979 shin 0.804 0.027 0.832 0.804 0.818 0.973 thigh 0.791 0.03 0.815 0.791 0.803 0.974 upperarm 0.789 0.039 0.77 0.789 0.78 0.968 waist Weighted Avg. 0.794 0.034 0.797 0.794 0.795 0.971 === Confusion Matrix === a b c d e f g <-- classified as 672 64 24 6 13 45 33 | a = chest 57 613 79 4 22 15 62 | b = forearm 13 57 733 3 10 14 27 | c = head 28 18 12 700 46 20 34 | d = shin 19 29 17 33 690 47 23 | e = thigh 64 33 10 16 33 678 23 | f = upperarm 63 42 36 12 15 13 677 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4720 78.706 % Incorrectly Classified Instances 1277 21.294 % Kappa statistic 0.7516 Mean absolute error 0.1015 Root mean squared error 0.2085 Relative absolute error 41.4506 % Root relative squared error 59.5938 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.785 0.043 0.752 0.785 0.768 0.97 chest 0.704 0.049 0.703 0.704 0.704 0.953 forearm 0.839 0.039 0.782 0.839 0.809 0.983 head 0.824 0.02 0.875 0.824 0.849 0.98 shin 0.802 0.03 0.818 0.802 0.81 0.973 thigh 0.775 0.032 0.804 0.775 0.789 0.972 upperarm 0.78 0.036 0.783 0.78 0.782 0.969 waist Weighted Avg. 0.787 0.035 0.788 0.787 0.787 0.971 === Confusion Matrix === a b c d e f g <-- classified as 673 55 27 5 11 50 36 | a = chest 53 600 82 14 32 18 53 | b = forearm 17 86 719 1 7 7 20 | c = head 22 19 5 706 58 25 22 | d = shin 16 23 18 37 689 47 29 | e = thigh 67 28 14 28 31 664 25 | f = upperarm 47 42 55 16 14 15 669 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4780 79.7065 % Incorrectly Classified Instances 1217 20.2935 % Kappa statistic 0.7632 Mean absolute error 0.1014 Root mean squared error 0.2074 Relative absolute error 41.418 % Root relative squared error 59.278 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.792 0.043 0.755 0.792 0.773 0.97 chest 0.729 0.045 0.73 0.729 0.73 0.958 forearm 0.87 0.035 0.805 0.87 0.836 0.984 head 0.84 0.018 0.886 0.84 0.862 0.984 shin 0.793 0.03 0.818 0.793 0.805 0.971 thigh 0.785 0.03 0.815 0.785 0.8 0.974 upperarm 0.769 0.037 0.778 0.769 0.774 0.965 waist Weighted Avg. 0.797 0.034 0.798 0.797 0.797 0.972 === Confusion Matrix === a b c d e f g <-- classified as 679 50 26 4 17 53 28 | a = chest 53 622 72 13 18 19 56 | b = forearm 7 55 745 3 11 11 24 | c = head 24 11 9 720 52 12 29 | d = shin 28 31 15 44 681 41 19 | e = thigh 57 30 11 17 37 673 32 | f = upperarm 51 53 48 12 17 17 660 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4820 80.3735 % Incorrectly Classified Instances 1177 19.6265 % Kappa statistic 0.771 Mean absolute error 0.0998 Root mean squared error 0.2048 Relative absolute error 40.7369 % Root relative squared error 58.5246 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.772 0.038 0.772 0.772 0.772 0.968 chest 0.732 0.039 0.755 0.732 0.743 0.96 forearm 0.87 0.038 0.793 0.87 0.83 0.982 head 0.846 0.017 0.893 0.846 0.869 0.982 shin 0.797 0.029 0.823 0.797 0.81 0.973 thigh 0.818 0.033 0.807 0.818 0.812 0.978 upperarm 0.79 0.036 0.787 0.79 0.788 0.97 waist Weighted Avg. 0.804 0.033 0.804 0.804 0.804 0.973 === Confusion Matrix === a b c d e f g <-- classified as 662 41 24 10 14 57 49 | a = chest 64 624 77 5 28 14 41 | b = forearm 14 53 745 1 13 6 24 | c = head 20 18 10 725 36 22 26 | d = shin 19 23 19 38 685 49 26 | e = thigh 43 24 14 17 40 701 18 | f = upperarm 35 43 50 16 16 20 678 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4778 79.6732 % Incorrectly Classified Instances 1219 20.3268 % Kappa statistic 0.7629 Mean absolute error 0.1003 Root mean squared error 0.2066 Relative absolute error 40.9474 % Root relative squared error 59.0302 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.802 0.041 0.763 0.802 0.782 0.971 chest 0.739 0.045 0.733 0.739 0.736 0.959 forearm 0.861 0.037 0.793 0.861 0.826 0.984 head 0.834 0.016 0.898 0.834 0.865 0.982 shin 0.769 0.025 0.836 0.769 0.801 0.971 thigh 0.795 0.036 0.788 0.795 0.791 0.97 upperarm 0.777 0.037 0.777 0.777 0.777 0.969 waist Weighted Avg. 0.797 0.034 0.799 0.797 0.797 0.972 === Confusion Matrix === a b c d e f g <-- classified as 687 41 23 8 8 49 41 | a = chest 51 630 69 12 27 17 47 | b = forearm 16 60 737 0 7 14 22 | c = head 23 16 9 715 39 27 28 | d = shin 27 38 20 25 661 60 28 | e = thigh 52 31 10 22 36 681 25 | f = upperarm 44 43 61 14 13 16 667 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4764 79.4397 % Incorrectly Classified Instances 1233 20.5603 % Kappa statistic 0.7601 Mean absolute error 0.1024 Root mean squared error 0.2088 Relative absolute error 41.8086 % Root relative squared error 59.6558 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.809 0.044 0.755 0.809 0.781 0.973 chest 0.723 0.043 0.738 0.723 0.731 0.953 forearm 0.871 0.034 0.811 0.871 0.84 0.984 head 0.807 0.017 0.887 0.807 0.845 0.979 shin 0.797 0.03 0.815 0.797 0.806 0.972 thigh 0.782 0.032 0.804 0.782 0.793 0.971 upperarm 0.772 0.04 0.761 0.772 0.766 0.967 waist Weighted Avg. 0.794 0.034 0.796 0.794 0.795 0.971 === Confusion Matrix === a b c d e f g <-- classified as 693 42 15 6 13 49 39 | a = chest 58 617 73 8 30 13 54 | b = forearm 13 54 746 1 12 6 24 | c = head 29 19 6 692 46 31 35 | d = shin 28 24 16 33 685 48 25 | e = thigh 53 32 14 22 35 669 31 | f = upperarm 44 48 50 18 20 16 662 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4757 79.323 % Incorrectly Classified Instances 1240 20.677 % Kappa statistic 0.7588 Mean absolute error 0.1019 Root mean squared error 0.2083 Relative absolute error 41.5964 % Root relative squared error 59.527 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.813 0.044 0.755 0.813 0.783 0.971 chest 0.701 0.045 0.722 0.701 0.711 0.955 forearm 0.859 0.038 0.792 0.859 0.824 0.982 head 0.81 0.017 0.888 0.81 0.847 0.979 shin 0.795 0.03 0.815 0.795 0.805 0.971 thigh 0.787 0.029 0.82 0.787 0.803 0.972 upperarm 0.787 0.039 0.771 0.787 0.779 0.967 waist Weighted Avg. 0.793 0.034 0.795 0.793 0.793 0.971 === Confusion Matrix === a b c d e f g <-- classified as 697 46 25 6 15 42 26 | a = chest 70 598 72 11 25 15 62 | b = forearm 11 63 735 0 6 12 29 | c = head 19 18 12 695 50 33 31 | d = shin 25 31 24 42 683 33 21 | e = thigh 46 31 15 16 43 674 31 | f = upperarm 55 41 45 13 16 13 675 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4714 78.606 % Incorrectly Classified Instances 1283 21.394 % Kappa statistic 0.7504 Mean absolute error 0.1018 Root mean squared error 0.2091 Relative absolute error 41.5746 % Root relative squared error 59.7654 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.8 0.05 0.728 0.8 0.762 0.969 chest 0.707 0.04 0.744 0.707 0.725 0.954 forearm 0.849 0.037 0.793 0.849 0.82 0.983 head 0.836 0.02 0.872 0.836 0.854 0.98 shin 0.779 0.025 0.84 0.779 0.808 0.972 thigh 0.759 0.035 0.783 0.759 0.771 0.966 upperarm 0.773 0.042 0.753 0.773 0.763 0.967 waist Weighted Avg. 0.786 0.036 0.788 0.786 0.786 0.97 === Confusion Matrix === a b c d e f g <-- classified as 686 50 20 8 8 51 35 | a = chest 74 603 76 10 20 14 56 | b = forearm 24 47 727 3 12 14 29 | c = head 23 16 6 717 38 31 27 | d = shin 27 24 25 31 668 50 33 | e = thigh 56 34 12 37 30 650 37 | f = upperarm 52 37 51 16 19 20 663 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4762 79.4196 % Incorrectly Classified Instances 1234 20.5804 % Kappa statistic 0.7599 Mean absolute error 0.1005 Root mean squared error 0.2067 Relative absolute error 41.0238 % Root relative squared error 59.0758 % Total Number of Instances 5996 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.822 0.038 0.783 0.822 0.802 0.974 chest 0.733 0.05 0.709 0.733 0.72 0.955 forearm 0.84 0.041 0.773 0.84 0.805 0.982 head 0.825 0.02 0.872 0.825 0.848 0.981 shin 0.766 0.025 0.839 0.766 0.801 0.969 thigh 0.789 0.033 0.797 0.789 0.793 0.974 upperarm 0.785 0.033 0.799 0.785 0.792 0.971 waist Weighted Avg. 0.794 0.034 0.796 0.794 0.795 0.972 === Confusion Matrix === a b c d e f g <-- classified as 705 41 21 13 8 46 24 | a = chest 45 625 90 9 18 24 42 | b = forearm 12 69 719 2 14 16 24 | c = head 16 25 12 708 38 29 30 | d = shin 33 34 21 36 657 44 33 | e = thigh 53 37 15 27 33 675 16 | f = upperarm 36 51 52 17 15 13 673 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 5 FOLD: 0 Correctly Classified Instances 4735 78.9561 % Incorrectly Classified Instances 1262 21.0439 % Kappa statistic 0.7545 Mean absolute error 0.1033 Root mean squared error 0.2105 Relative absolute error 42.2 % Root relative squared error 60.1681 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.813 0.045 0.753 0.813 0.782 0.971 chest 0.71 0.043 0.733 0.71 0.721 0.954 forearm 0.868 0.039 0.789 0.868 0.826 0.982 head 0.793 0.017 0.888 0.793 0.837 0.975 shin 0.792 0.031 0.812 0.792 0.802 0.971 thigh 0.763 0.034 0.789 0.763 0.776 0.969 upperarm 0.788 0.038 0.776 0.788 0.782 0.97 waist Weighted Avg. 0.79 0.035 0.791 0.79 0.79 0.97 === Confusion Matrix === a b c d e f g <-- classified as 697 35 23 4 9 58 31 | a = chest 59 606 87 9 23 15 54 | b = forearm 16 56 743 2 9 9 21 | c = head 26 21 13 680 57 24 37 | d = shin 21 24 16 35 680 56 27 | e = thigh 60 36 14 26 42 654 25 | f = upperarm 47 49 46 10 17 13 675 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4763 79.423 % Incorrectly Classified Instances 1234 20.577 % Kappa statistic 0.7599 Mean absolute error 0.1015 Root mean squared error 0.2078 Relative absolute error 41.4269 % Root relative squared error 59.3924 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.791 0.048 0.734 0.791 0.761 0.969 chest 0.713 0.049 0.705 0.713 0.709 0.955 forearm 0.843 0.031 0.82 0.843 0.832 0.982 head 0.834 0.017 0.889 0.834 0.861 0.981 shin 0.794 0.03 0.817 0.794 0.805 0.97 thigh 0.79 0.03 0.816 0.79 0.803 0.973 upperarm 0.793 0.035 0.79 0.793 0.792 0.97 waist Weighted Avg. 0.794 0.034 0.796 0.794 0.795 0.972 === Confusion Matrix === a b c d e f g <-- classified as 678 47 22 6 12 61 31 | a = chest 64 608 61 8 41 15 56 | b = forearm 23 72 722 3 8 9 19 | c = head 30 20 5 716 37 19 31 | d = shin 27 45 15 30 682 38 22 | e = thigh 49 33 13 23 40 677 22 | f = upperarm 53 37 42 19 15 11 680 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4774 79.6065 % Incorrectly Classified Instances 1223 20.3935 % Kappa statistic 0.7621 Mean absolute error 0.1014 Root mean squared error 0.2075 Relative absolute error 41.3993 % Root relative squared error 59.2868 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.807 0.041 0.766 0.807 0.786 0.972 chest 0.717 0.045 0.725 0.717 0.721 0.957 forearm 0.867 0.039 0.788 0.867 0.825 0.982 head 0.827 0.018 0.886 0.827 0.856 0.984 shin 0.782 0.023 0.85 0.782 0.815 0.971 thigh 0.809 0.034 0.798 0.809 0.803 0.972 upperarm 0.762 0.038 0.77 0.762 0.766 0.966 waist Weighted Avg. 0.796 0.034 0.798 0.796 0.796 0.972 === Confusion Matrix === a b c d e f g <-- classified as 692 42 22 4 9 55 33 | a = chest 61 612 88 6 17 17 52 | b = forearm 10 52 742 2 5 16 29 | c = head 20 20 10 709 50 23 25 | d = shin 20 34 16 40 672 51 26 | e = thigh 51 32 10 20 21 693 30 | f = upperarm 49 52 54 19 17 13 654 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4779 79.6898 % Incorrectly Classified Instances 1218 20.3102 % Kappa statistic 0.763 Mean absolute error 0.1012 Root mean squared error 0.2073 Relative absolute error 41.3236 % Root relative squared error 59.2458 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.805 0.049 0.734 0.805 0.768 0.969 chest 0.719 0.042 0.739 0.719 0.729 0.958 forearm 0.861 0.034 0.808 0.861 0.834 0.981 head 0.842 0.02 0.873 0.842 0.857 0.983 shin 0.774 0.026 0.834 0.774 0.803 0.972 thigh 0.777 0.032 0.803 0.777 0.79 0.969 upperarm 0.798 0.034 0.796 0.798 0.797 0.971 waist Weighted Avg. 0.797 0.034 0.798 0.797 0.797 0.972 === Confusion Matrix === a b c d e f g <-- classified as 690 43 22 6 15 43 38 | a = chest 62 613 79 13 19 22 44 | b = forearm 16 55 738 0 11 15 22 | c = head 25 10 6 722 43 29 22 | d = shin 39 25 18 42 665 42 28 | e = thigh 66 39 7 29 28 666 22 | f = upperarm 42 45 43 15 16 12 685 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4758 79.3397 % Incorrectly Classified Instances 1239 20.6603 % Kappa statistic 0.759 Mean absolute error 0.1009 Root mean squared error 0.2079 Relative absolute error 41.2047 % Root relative squared error 59.4128 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.779 0.044 0.746 0.779 0.762 0.966 chest 0.727 0.041 0.748 0.727 0.737 0.955 forearm 0.863 0.037 0.797 0.863 0.829 0.985 head 0.826 0.02 0.874 0.826 0.849 0.975 shin 0.787 0.027 0.829 0.787 0.808 0.973 thigh 0.799 0.037 0.785 0.799 0.792 0.973 upperarm 0.772 0.036 0.783 0.772 0.777 0.967 waist Weighted Avg. 0.793 0.034 0.794 0.793 0.793 0.971 === Confusion Matrix === a b c d e f g <-- classified as 668 39 31 10 15 58 36 | a = chest 49 619 76 16 29 16 47 | b = forearm 12 54 740 1 12 11 27 | c = head 31 24 9 708 33 29 23 | d = shin 37 14 17 38 676 55 22 | e = thigh 44 33 11 19 36 685 29 | f = upperarm 55 45 45 18 14 19 662 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4793 79.9233 % Incorrectly Classified Instances 1204 20.0767 % Kappa statistic 0.7658 Mean absolute error 0.1009 Root mean squared error 0.2066 Relative absolute error 41.1952 % Root relative squared error 59.031 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.775 0.042 0.755 0.775 0.765 0.971 chest 0.72 0.046 0.721 0.72 0.72 0.953 forearm 0.881 0.036 0.803 0.881 0.84 0.985 head 0.837 0.018 0.885 0.837 0.86 0.982 shin 0.789 0.026 0.834 0.789 0.811 0.969 thigh 0.805 0.031 0.813 0.805 0.809 0.977 upperarm 0.788 0.035 0.792 0.788 0.79 0.97 waist Weighted Avg. 0.799 0.033 0.8 0.799 0.799 0.972 === Confusion Matrix === a b c d e f g <-- classified as 664 63 26 10 6 59 29 | a = chest 59 614 79 12 23 14 52 | b = forearm 11 56 755 2 3 9 21 | c = head 22 18 7 717 48 23 22 | d = shin 23 28 20 36 678 43 31 | e = thigh 55 30 10 20 29 689 23 | f = upperarm 46 43 43 13 26 11 676 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4797 79.99 % Incorrectly Classified Instances 1200 20.01 % Kappa statistic 0.7665 Mean absolute error 0.1005 Root mean squared error 0.2067 Relative absolute error 41.0462 % Root relative squared error 59.0626 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.798 0.047 0.737 0.798 0.767 0.969 chest 0.728 0.038 0.76 0.728 0.744 0.955 forearm 0.87 0.037 0.798 0.87 0.832 0.984 head 0.836 0.017 0.894 0.836 0.864 0.981 shin 0.81 0.024 0.848 0.81 0.828 0.977 thigh 0.787 0.032 0.802 0.787 0.795 0.973 upperarm 0.769 0.038 0.772 0.769 0.771 0.968 waist Weighted Avg. 0.8 0.033 0.802 0.8 0.8 0.972 === Confusion Matrix === a b c d e f g <-- classified as 685 49 19 8 8 47 42 | a = chest 67 621 65 5 24 20 51 | b = forearm 12 51 745 1 6 14 27 | c = head 30 16 7 717 45 19 24 | d = shin 20 19 28 30 695 44 22 | e = thigh 57 27 18 21 30 674 29 | f = upperarm 58 34 52 20 12 22 660 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4766 79.4731 % Incorrectly Classified Instances 1231 20.5269 % Kappa statistic 0.7605 Mean absolute error 0.1017 Root mean squared error 0.2083 Relative absolute error 41.5228 % Root relative squared error 59.5296 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.804 0.043 0.758 0.804 0.781 0.97 chest 0.708 0.042 0.738 0.708 0.723 0.955 forearm 0.863 0.044 0.765 0.863 0.811 0.981 head 0.824 0.016 0.896 0.824 0.859 0.98 shin 0.775 0.028 0.823 0.775 0.798 0.97 thigh 0.792 0.03 0.814 0.792 0.803 0.972 upperarm 0.796 0.037 0.782 0.796 0.789 0.968 waist Weighted Avg. 0.795 0.034 0.797 0.795 0.795 0.971 === Confusion Matrix === a b c d e f g <-- classified as 690 40 29 1 19 39 40 | a = chest 52 604 101 11 20 18 47 | b = forearm 14 49 739 3 12 8 31 | c = head 21 16 11 707 47 29 27 | d = shin 29 30 19 35 665 49 31 | e = thigh 59 37 16 22 30 678 14 | f = upperarm 45 42 51 10 15 12 683 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4767 79.4897 % Incorrectly Classified Instances 1230 20.5103 % Kappa statistic 0.7607 Mean absolute error 0.1014 Root mean squared error 0.2074 Relative absolute error 41.3892 % Root relative squared error 59.2749 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.784 0.044 0.75 0.784 0.767 0.971 chest 0.716 0.045 0.723 0.716 0.72 0.955 forearm 0.838 0.033 0.807 0.838 0.822 0.983 head 0.83 0.016 0.894 0.83 0.861 0.982 shin 0.8 0.031 0.813 0.8 0.806 0.969 thigh 0.776 0.031 0.807 0.776 0.791 0.974 upperarm 0.821 0.039 0.779 0.821 0.799 0.969 waist Weighted Avg. 0.795 0.034 0.796 0.795 0.795 0.972 === Confusion Matrix === a b c d e f g <-- classified as 673 45 17 8 15 53 47 | a = chest 71 611 71 8 22 14 56 | b = forearm 17 79 717 1 16 7 19 | c = head 18 24 9 712 35 31 29 | d = shin 19 33 22 32 686 40 26 | e = thigh 60 23 10 24 52 664 23 | f = upperarm 39 30 42 11 18 14 704 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4734 78.9526 % Incorrectly Classified Instances 1262 21.0474 % Kappa statistic 0.7544 Mean absolute error 0.1035 Root mean squared error 0.2106 Relative absolute error 42.2658 % Root relative squared error 60.1946 % Total Number of Instances 5996 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.81 0.046 0.746 0.81 0.777 0.971 chest 0.709 0.043 0.734 0.709 0.722 0.952 forearm 0.871 0.037 0.795 0.871 0.832 0.982 head 0.822 0.021 0.866 0.822 0.843 0.98 shin 0.781 0.028 0.824 0.781 0.802 0.973 thigh 0.779 0.036 0.782 0.779 0.781 0.969 upperarm 0.754 0.034 0.785 0.754 0.769 0.965 waist Weighted Avg. 0.79 0.035 0.79 0.79 0.789 0.97 === Confusion Matrix === a b c d e f g <-- classified as 694 44 24 9 14 39 33 | a = chest 65 605 64 15 26 25 53 | b = forearm 12 55 746 3 4 14 22 | c = head 22 18 11 705 36 36 30 | d = shin 31 21 17 46 670 57 16 | e = thigh 62 33 14 21 36 667 23 | f = upperarm 44 48 62 15 27 15 647 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 6 FOLD: 0 Correctly Classified Instances 4754 79.273 % Incorrectly Classified Instances 1243 20.727 % Kappa statistic 0.7582 Mean absolute error 0.1029 Root mean squared error 0.209 Relative absolute error 42.0136 % Root relative squared error 59.7277 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.797 0.043 0.755 0.797 0.775 0.972 chest 0.729 0.045 0.729 0.729 0.729 0.956 forearm 0.859 0.038 0.789 0.859 0.822 0.983 head 0.826 0.016 0.897 0.826 0.86 0.979 shin 0.775 0.031 0.807 0.775 0.791 0.967 thigh 0.781 0.035 0.787 0.781 0.784 0.972 upperarm 0.782 0.033 0.796 0.782 0.789 0.968 waist Weighted Avg. 0.793 0.035 0.794 0.793 0.793 0.971 === Confusion Matrix === a b c d e f g <-- classified as 683 44 24 5 16 62 23 | a = chest 54 622 82 8 21 15 51 | b = forearm 13 64 736 2 8 10 24 | c = head 25 18 11 708 51 25 19 | d = shin 36 21 21 33 666 57 25 | e = thigh 60 27 10 21 40 669 30 | f = upperarm 34 57 49 12 23 12 670 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4767 79.4897 % Incorrectly Classified Instances 1230 20.5103 % Kappa statistic 0.7607 Mean absolute error 0.1022 Root mean squared error 0.2084 Relative absolute error 41.7415 % Root relative squared error 59.5614 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.779 0.044 0.746 0.779 0.762 0.969 chest 0.702 0.044 0.727 0.702 0.714 0.954 forearm 0.874 0.042 0.776 0.874 0.822 0.982 head 0.823 0.016 0.896 0.823 0.858 0.981 shin 0.794 0.026 0.835 0.794 0.814 0.973 thigh 0.786 0.033 0.8 0.786 0.793 0.971 upperarm 0.807 0.034 0.796 0.807 0.801 0.972 waist Weighted Avg. 0.795 0.034 0.797 0.795 0.795 0.972 === Confusion Matrix === a b c d e f g <-- classified as 668 50 21 12 12 55 40 | a = chest 60 598 90 5 25 21 53 | b = forearm 10 59 749 3 3 11 22 | c = head 20 19 11 705 53 17 32 | d = shin 23 31 28 22 681 54 19 | e = thigh 63 24 18 32 35 674 11 | f = upperarm 51 41 48 8 7 11 692 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4775 79.6231 % Incorrectly Classified Instances 1222 20.3769 % Kappa statistic 0.7623 Mean absolute error 0.0999 Root mean squared error 0.2065 Relative absolute error 40.7892 % Root relative squared error 59.0037 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.794 0.044 0.752 0.794 0.773 0.969 chest 0.705 0.041 0.742 0.705 0.723 0.954 forearm 0.855 0.042 0.771 0.855 0.811 0.983 head 0.833 0.016 0.899 0.833 0.865 0.981 shin 0.787 0.026 0.836 0.787 0.811 0.973 thigh 0.804 0.033 0.802 0.804 0.803 0.974 upperarm 0.795 0.037 0.783 0.795 0.789 0.971 waist Weighted Avg. 0.796 0.034 0.798 0.796 0.796 0.972 === Confusion Matrix === a b c d e f g <-- classified as 681 47 24 4 18 46 38 | a = chest 67 601 80 10 24 20 50 | b = forearm 14 62 733 3 9 13 23 | c = head 21 14 15 714 32 35 26 | d = shin 28 22 27 36 675 43 27 | e = thigh 51 31 9 19 33 689 25 | f = upperarm 43 33 63 8 16 13 682 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4712 78.5726 % Incorrectly Classified Instances 1285 21.4274 % Kappa statistic 0.75 Mean absolute error 0.1022 Root mean squared error 0.2103 Relative absolute error 41.7475 % Root relative squared error 60.0945 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.756 0.045 0.737 0.756 0.746 0.963 chest 0.715 0.044 0.731 0.715 0.723 0.958 forearm 0.866 0.041 0.778 0.866 0.82 0.983 head 0.803 0.018 0.882 0.803 0.841 0.976 shin 0.801 0.027 0.831 0.801 0.815 0.976 thigh 0.776 0.033 0.796 0.776 0.786 0.97 upperarm 0.783 0.042 0.757 0.783 0.77 0.967 waist Weighted Avg. 0.786 0.036 0.788 0.786 0.786 0.97 === Confusion Matrix === a b c d e f g <-- classified as 649 58 29 5 12 56 49 | a = chest 53 610 94 6 25 19 46 | b = forearm 20 49 741 1 9 13 23 | c = head 31 14 8 688 46 21 49 | d = shin 24 21 22 40 687 43 21 | e = thigh 52 35 12 27 38 665 28 | f = upperarm 52 47 46 13 10 18 672 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4759 79.3563 % Incorrectly Classified Instances 1238 20.6437 % Kappa statistic 0.7592 Mean absolute error 0.1013 Root mean squared error 0.2079 Relative absolute error 41.3621 % Root relative squared error 59.411 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.805 0.043 0.758 0.805 0.781 0.972 chest 0.693 0.042 0.731 0.693 0.712 0.955 forearm 0.886 0.036 0.804 0.886 0.843 0.985 head 0.821 0.02 0.872 0.821 0.846 0.981 shin 0.777 0.03 0.81 0.777 0.794 0.968 thigh 0.778 0.032 0.8 0.778 0.789 0.974 upperarm 0.795 0.037 0.782 0.795 0.788 0.968 waist Weighted Avg. 0.794 0.034 0.794 0.794 0.793 0.972 === Confusion Matrix === a b c d e f g <-- classified as 690 48 21 6 12 48 32 | a = chest 76 591 84 16 19 15 52 | b = forearm 12 44 758 0 16 9 17 | c = head 24 20 7 704 51 28 24 | d = shin 32 29 18 38 667 48 26 | e = thigh 43 37 9 19 43 667 39 | f = upperarm 33 39 46 24 15 19 682 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4763 79.423 % Incorrectly Classified Instances 1234 20.577 % Kappa statistic 0.7599 Mean absolute error 0.1016 Root mean squared error 0.2076 Relative absolute error 41.5034 % Root relative squared error 59.3189 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.796 0.045 0.749 0.796 0.771 0.971 chest 0.721 0.048 0.713 0.721 0.717 0.95 forearm 0.846 0.037 0.793 0.846 0.819 0.983 head 0.843 0.018 0.884 0.843 0.863 0.98 shin 0.78 0.025 0.836 0.78 0.807 0.972 thigh 0.789 0.031 0.809 0.789 0.799 0.974 upperarm 0.786 0.036 0.786 0.786 0.786 0.97 waist Weighted Avg. 0.794 0.034 0.796 0.794 0.795 0.972 === Confusion Matrix === a b c d e f g <-- classified as 682 44 27 8 10 43 43 | a = chest 66 615 82 14 18 20 38 | b = forearm 14 64 724 2 8 14 30 | c = head 20 14 6 723 38 28 29 | d = shin 33 40 19 36 670 41 20 | e = thigh 49 38 14 18 39 675 23 | f = upperarm 47 48 41 17 18 13 674 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4758 79.3397 % Incorrectly Classified Instances 1239 20.6603 % Kappa statistic 0.759 Mean absolute error 0.1023 Root mean squared error 0.2084 Relative absolute error 41.7759 % Root relative squared error 59.5628 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.807 0.045 0.751 0.807 0.778 0.97 chest 0.716 0.044 0.732 0.716 0.724 0.956 forearm 0.867 0.035 0.805 0.867 0.835 0.983 head 0.822 0.018 0.886 0.822 0.852 0.981 shin 0.775 0.028 0.822 0.775 0.798 0.969 thigh 0.78 0.032 0.802 0.78 0.791 0.971 upperarm 0.786 0.04 0.767 0.786 0.776 0.97 waist Weighted Avg. 0.793 0.034 0.795 0.793 0.793 0.971 === Confusion Matrix === a b c d e f g <-- classified as 692 45 23 5 10 43 39 | a = chest 57 611 76 13 20 17 59 | b = forearm 19 51 742 1 12 10 21 | c = head 20 16 9 705 56 27 25 | d = shin 24 25 18 39 666 54 33 | e = thigh 62 37 13 18 30 668 28 | f = upperarm 48 50 41 15 16 14 674 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4765 79.4564 % Incorrectly Classified Instances 1232 20.5436 % Kappa statistic 0.7603 Mean absolute error 0.1008 Root mean squared error 0.2068 Relative absolute error 41.147 % Root relative squared error 59.0858 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.795 0.046 0.742 0.795 0.767 0.971 chest 0.736 0.047 0.72 0.736 0.728 0.959 forearm 0.846 0.032 0.813 0.846 0.829 0.983 head 0.831 0.018 0.886 0.831 0.857 0.98 shin 0.799 0.031 0.813 0.799 0.806 0.972 thigh 0.793 0.032 0.807 0.793 0.8 0.973 upperarm 0.762 0.034 0.791 0.762 0.776 0.966 waist Weighted Avg. 0.795 0.034 0.796 0.795 0.795 0.972 === Confusion Matrix === a b c d e f g <-- classified as 681 45 32 5 10 48 36 | a = chest 55 628 65 12 33 14 46 | b = forearm 15 68 724 1 12 7 29 | c = head 22 33 5 713 40 23 22 | d = shin 28 25 16 35 686 51 18 | e = thigh 59 29 6 27 34 679 22 | f = upperarm 58 44 42 12 29 19 654 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4726 78.8061 % Incorrectly Classified Instances 1271 21.1939 % Kappa statistic 0.7527 Mean absolute error 0.1019 Root mean squared error 0.2097 Relative absolute error 41.5892 % Root relative squared error 59.9322 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.8 0.048 0.735 0.8 0.766 0.969 chest 0.702 0.046 0.716 0.702 0.709 0.953 forearm 0.859 0.036 0.798 0.859 0.827 0.981 head 0.818 0.02 0.873 0.818 0.845 0.98 shin 0.792 0.027 0.831 0.792 0.811 0.974 thigh 0.777 0.035 0.789 0.777 0.783 0.969 upperarm 0.768 0.035 0.784 0.768 0.776 0.965 waist Weighted Avg. 0.788 0.035 0.789 0.788 0.788 0.97 === Confusion Matrix === a b c d e f g <-- classified as 686 50 16 9 10 59 27 | a = chest 68 599 82 10 25 15 54 | b = forearm 19 56 735 1 8 10 27 | c = head 26 20 9 702 41 31 29 | d = shin 15 31 19 39 680 53 22 | e = thigh 62 33 14 24 35 665 23 | f = upperarm 57 48 46 19 19 10 659 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4804 80.1201 % Incorrectly Classified Instances 1192 19.8799 % Kappa statistic 0.7681 Mean absolute error 0.1005 Root mean squared error 0.2065 Relative absolute error 41.0347 % Root relative squared error 59.0174 % Total Number of Instances 5996 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.797 0.049 0.73 0.797 0.762 0.971 chest 0.734 0.039 0.756 0.734 0.745 0.956 forearm 0.881 0.035 0.807 0.881 0.842 0.983 head 0.832 0.018 0.886 0.832 0.858 0.98 shin 0.802 0.024 0.847 0.802 0.824 0.973 thigh 0.775 0.033 0.795 0.775 0.785 0.972 upperarm 0.788 0.033 0.798 0.788 0.793 0.969 waist Weighted Avg. 0.801 0.033 0.803 0.801 0.801 0.972 === Confusion Matrix === a b c d e f g <-- classified as 683 39 24 8 14 62 27 | a = chest 80 626 66 5 23 14 39 | b = forearm 10 48 754 3 9 14 18 | c = head 29 18 6 714 39 27 25 | d = shin 19 27 14 36 689 42 32 | e = thigh 68 33 14 21 27 663 30 | f = upperarm 46 37 56 19 12 12 675 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 7 FOLD: 0 Correctly Classified Instances 4744 79.1062 % Incorrectly Classified Instances 1253 20.8938 % Kappa statistic 0.7562 Mean absolute error 0.1013 Root mean squared error 0.2079 Relative absolute error 41.3567 % Root relative squared error 59.4203 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.787 0.039 0.772 0.787 0.779 0.97 chest 0.712 0.048 0.712 0.712 0.712 0.955 forearm 0.852 0.041 0.776 0.852 0.812 0.981 head 0.812 0.021 0.868 0.812 0.839 0.98 shin 0.775 0.029 0.816 0.775 0.795 0.967 thigh 0.792 0.032 0.805 0.792 0.799 0.972 upperarm 0.807 0.035 0.794 0.807 0.8 0.973 waist Weighted Avg. 0.791 0.035 0.792 0.791 0.791 0.971 === Confusion Matrix === a b c d e f g <-- classified as 675 51 28 7 10 51 36 | a = chest 56 607 90 7 29 18 45 | b = forearm 12 64 729 3 10 11 27 | c = head 24 27 11 696 51 25 23 | d = shin 25 29 20 41 666 50 28 | e = thigh 48 30 13 29 38 679 20 | f = upperarm 34 44 48 19 12 9 692 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4743 79.0895 % Incorrectly Classified Instances 1254 20.9105 % Kappa statistic 0.756 Mean absolute error 0.1009 Root mean squared error 0.2086 Relative absolute error 41.2088 % Root relative squared error 59.6126 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.804 0.047 0.742 0.804 0.772 0.969 chest 0.695 0.045 0.718 0.695 0.706 0.95 forearm 0.863 0.037 0.795 0.863 0.828 0.982 head 0.824 0.018 0.884 0.824 0.853 0.978 shin 0.766 0.027 0.827 0.766 0.795 0.97 thigh 0.798 0.035 0.793 0.798 0.796 0.974 upperarm 0.786 0.035 0.787 0.786 0.786 0.965 waist Weighted Avg. 0.791 0.035 0.792 0.791 0.791 0.97 === Confusion Matrix === a b c d e f g <-- classified as 689 52 16 3 16 53 28 | a = chest 66 593 86 11 26 17 54 | b = forearm 11 64 739 1 7 10 24 | c = head 29 20 9 707 44 21 28 | d = shin 27 27 23 41 658 57 26 | e = thigh 57 26 14 23 31 683 22 | f = upperarm 50 44 42 14 14 20 674 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4763 79.423 % Incorrectly Classified Instances 1234 20.577 % Kappa statistic 0.7599 Mean absolute error 0.1022 Root mean squared error 0.2093 Relative absolute error 41.7393 % Root relative squared error 59.8117 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.803 0.04 0.77 0.803 0.786 0.971 chest 0.703 0.041 0.739 0.703 0.721 0.95 forearm 0.902 0.038 0.797 0.902 0.846 0.984 head 0.832 0.02 0.873 0.832 0.852 0.98 shin 0.786 0.028 0.826 0.786 0.805 0.972 thigh 0.764 0.037 0.777 0.764 0.77 0.97 upperarm 0.769 0.036 0.781 0.769 0.775 0.966 waist Weighted Avg. 0.794 0.034 0.795 0.794 0.794 0.971 === Confusion Matrix === a b c d e f g <-- classified as 688 45 21 5 12 54 32 | a = chest 53 600 73 14 29 27 57 | b = forearm 9 45 772 1 4 5 20 | c = head 22 14 12 714 43 32 21 | d = shin 17 26 25 35 675 56 25 | e = thigh 56 39 17 24 36 654 30 | f = upperarm 49 43 49 25 18 14 660 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4795 79.9566 % Incorrectly Classified Instances 1202 20.0434 % Kappa statistic 0.7662 Mean absolute error 0.1023 Root mean squared error 0.2084 Relative absolute error 41.759 % Root relative squared error 59.553 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.807 0.044 0.755 0.807 0.781 0.967 chest 0.736 0.043 0.74 0.736 0.738 0.959 forearm 0.856 0.039 0.788 0.856 0.821 0.982 head 0.829 0.018 0.882 0.829 0.855 0.977 shin 0.793 0.02 0.866 0.793 0.828 0.973 thigh 0.793 0.03 0.815 0.793 0.804 0.971 upperarm 0.782 0.04 0.766 0.782 0.774 0.968 waist Weighted Avg. 0.8 0.033 0.802 0.8 0.8 0.971 === Confusion Matrix === a b c d e f g <-- classified as 692 37 25 10 11 41 41 | a = chest 64 628 82 6 15 12 46 | b = forearm 14 63 734 0 9 13 24 | c = head 29 24 5 711 34 21 34 | d = shin 23 23 17 34 680 54 27 | e = thigh 49 27 19 24 25 679 33 | f = upperarm 45 47 50 21 11 13 671 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4746 79.1396 % Incorrectly Classified Instances 1251 20.8604 % Kappa statistic 0.7566 Mean absolute error 0.1013 Root mean squared error 0.2079 Relative absolute error 41.3808 % Root relative squared error 59.4081 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.803 0.046 0.742 0.803 0.771 0.972 chest 0.717 0.044 0.73 0.717 0.724 0.958 forearm 0.852 0.042 0.772 0.852 0.81 0.981 head 0.843 0.017 0.893 0.843 0.867 0.982 shin 0.787 0.029 0.819 0.787 0.803 0.971 thigh 0.772 0.032 0.801 0.772 0.786 0.974 upperarm 0.766 0.033 0.794 0.766 0.78 0.967 waist Weighted Avg. 0.791 0.035 0.793 0.791 0.792 0.972 === Confusion Matrix === a b c d e f g <-- classified as 688 54 29 8 11 43 24 | a = chest 51 612 100 5 27 11 47 | b = forearm 13 58 730 4 15 14 23 | c = head 27 14 4 723 35 31 24 | d = shin 25 30 15 41 675 52 20 | e = thigh 60 31 13 15 44 661 32 | f = upperarm 63 39 55 14 17 13 657 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4754 79.273 % Incorrectly Classified Instances 1243 20.727 % Kappa statistic 0.7582 Mean absolute error 0.1022 Root mean squared error 0.209 Relative absolute error 41.7294 % Root relative squared error 59.7396 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.789 0.048 0.731 0.789 0.759 0.968 chest 0.705 0.045 0.724 0.705 0.714 0.951 forearm 0.847 0.032 0.813 0.847 0.83 0.981 head 0.825 0.016 0.894 0.825 0.858 0.981 shin 0.8 0.027 0.83 0.8 0.814 0.974 thigh 0.799 0.037 0.782 0.799 0.79 0.974 upperarm 0.784 0.035 0.787 0.784 0.786 0.969 waist Weighted Avg. 0.793 0.035 0.794 0.793 0.793 0.971 === Confusion Matrix === a b c d e f g <-- classified as 676 46 22 4 7 59 43 | a = chest 71 601 68 8 23 22 60 | b = forearm 19 61 726 2 8 19 22 | c = head 24 19 6 708 55 21 25 | d = shin 25 26 15 34 686 52 20 | e = thigh 59 37 12 20 32 684 12 | f = upperarm 51 40 44 16 16 18 673 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4785 79.7899 % Incorrectly Classified Instances 1212 20.2101 % Kappa statistic 0.7642 Mean absolute error 0.1017 Root mean squared error 0.2074 Relative absolute error 41.5421 % Root relative squared error 59.2742 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.798 0.047 0.739 0.798 0.767 0.97 chest 0.733 0.043 0.741 0.733 0.737 0.957 forearm 0.867 0.036 0.799 0.867 0.831 0.984 head 0.839 0.016 0.9 0.839 0.869 0.983 shin 0.772 0.025 0.836 0.772 0.802 0.973 thigh 0.792 0.032 0.803 0.792 0.797 0.974 upperarm 0.784 0.036 0.783 0.784 0.783 0.969 waist Weighted Avg. 0.798 0.034 0.8 0.798 0.798 0.973 === Confusion Matrix === a b c d e f g <-- classified as 684 40 21 7 13 59 33 | a = chest 63 625 68 6 23 19 49 | b = forearm 19 53 742 0 11 7 24 | c = head 23 17 7 720 34 23 34 | d = shin 31 36 23 38 662 47 21 | e = thigh 65 23 16 16 32 679 26 | f = upperarm 41 50 52 13 17 12 673 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4776 79.6398 % Incorrectly Classified Instances 1221 20.3602 % Kappa statistic 0.7625 Mean absolute error 0.1016 Root mean squared error 0.2077 Relative absolute error 41.4775 % Root relative squared error 59.3511 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.802 0.044 0.753 0.802 0.777 0.97 chest 0.717 0.044 0.729 0.717 0.723 0.956 forearm 0.856 0.034 0.808 0.856 0.832 0.983 head 0.817 0.016 0.896 0.817 0.855 0.981 shin 0.817 0.033 0.806 0.817 0.812 0.973 thigh 0.789 0.028 0.824 0.789 0.806 0.974 upperarm 0.776 0.039 0.768 0.776 0.772 0.967 waist Weighted Avg. 0.796 0.034 0.798 0.796 0.797 0.972 === Confusion Matrix === a b c d e f g <-- classified as 687 47 16 7 14 40 46 | a = chest 71 612 70 10 20 15 55 | b = forearm 16 65 733 1 9 9 23 | c = head 19 16 8 700 54 28 32 | d = shin 19 25 22 31 702 34 26 | e = thigh 56 30 4 24 48 676 19 | f = upperarm 44 44 54 8 24 18 666 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4776 79.6398 % Incorrectly Classified Instances 1221 20.3602 % Kappa statistic 0.7625 Mean absolute error 0.1009 Root mean squared error 0.2073 Relative absolute error 41.1956 % Root relative squared error 59.2288 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.777 0.043 0.751 0.777 0.764 0.967 chest 0.727 0.044 0.733 0.727 0.73 0.955 forearm 0.873 0.036 0.802 0.873 0.836 0.984 head 0.831 0.018 0.887 0.831 0.858 0.981 shin 0.789 0.033 0.801 0.789 0.795 0.968 thigh 0.776 0.031 0.808 0.776 0.792 0.971 upperarm 0.802 0.034 0.799 0.802 0.8 0.972 waist Weighted Avg. 0.796 0.034 0.797 0.796 0.796 0.971 === Confusion Matrix === a b c d e f g <-- classified as 667 44 29 7 19 58 34 | a = chest 60 620 73 13 35 17 35 | b = forearm 13 55 747 0 7 11 23 | c = head 21 19 7 712 45 25 28 | d = shin 26 35 26 32 678 37 25 | e = thigh 53 31 9 28 43 665 28 | f = upperarm 48 42 40 11 19 10 687 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4799 80.0367 % Incorrectly Classified Instances 1197 19.9633 % Kappa statistic 0.7671 Mean absolute error 0.1021 Root mean squared error 0.2075 Relative absolute error 41.7016 % Root relative squared error 59.2888 % Total Number of Instances 5996 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.823 0.044 0.759 0.823 0.79 0.971 chest 0.722 0.044 0.732 0.722 0.727 0.958 forearm 0.874 0.032 0.819 0.874 0.846 0.986 head 0.818 0.018 0.885 0.818 0.85 0.978 shin 0.788 0.026 0.835 0.788 0.811 0.971 thigh 0.772 0.032 0.803 0.772 0.788 0.971 upperarm 0.805 0.038 0.779 0.805 0.792 0.97 waist Weighted Avg. 0.8 0.033 0.802 0.8 0.8 0.972 === Confusion Matrix === a b c d e f g <-- classified as 706 50 18 5 8 41 30 | a = chest 62 615 72 13 18 15 57 | b = forearm 8 61 748 4 5 10 20 | c = head 27 24 3 701 50 27 25 | d = shin 24 20 19 35 677 51 33 | e = thigh 57 35 12 24 36 662 31 | f = upperarm 46 35 41 10 17 18 690 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 8 FOLD: 0 Correctly Classified Instances 4768 79.5064 % Incorrectly Classified Instances 1229 20.4936 % Kappa statistic 0.7609 Mean absolute error 0.1015 Root mean squared error 0.2079 Relative absolute error 41.4518 % Root relative squared error 59.4037 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.793 0.048 0.735 0.793 0.763 0.969 chest 0.696 0.04 0.742 0.696 0.718 0.952 forearm 0.854 0.037 0.792 0.854 0.822 0.982 head 0.837 0.019 0.878 0.837 0.857 0.983 shin 0.82 0.029 0.827 0.82 0.823 0.975 thigh 0.77 0.029 0.814 0.77 0.791 0.968 upperarm 0.795 0.036 0.785 0.795 0.79 0.968 waist Weighted Avg. 0.795 0.034 0.796 0.795 0.795 0.971 === Confusion Matrix === a b c d e f g <-- classified as 680 38 25 8 13 50 43 | a = chest 72 594 86 16 28 15 42 | b = forearm 8 60 731 0 13 10 34 | c = head 28 18 8 718 41 17 28 | d = shin 29 15 15 31 704 52 13 | e = thigh 59 35 15 27 34 659 27 | f = upperarm 49 41 43 18 18 7 682 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4826 80.4736 % Incorrectly Classified Instances 1171 19.5264 % Kappa statistic 0.7722 Mean absolute error 0.1002 Root mean squared error 0.2053 Relative absolute error 40.9069 % Root relative squared error 58.6643 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.807 0.046 0.747 0.807 0.776 0.971 chest 0.702 0.036 0.762 0.702 0.731 0.955 forearm 0.877 0.035 0.806 0.877 0.84 0.985 head 0.841 0.018 0.887 0.841 0.864 0.982 shin 0.8 0.026 0.836 0.8 0.817 0.973 thigh 0.79 0.032 0.804 0.79 0.797 0.973 upperarm 0.815 0.034 0.798 0.815 0.806 0.974 waist Weighted Avg. 0.805 0.033 0.806 0.805 0.805 0.973 === Confusion Matrix === a b c d e f g <-- classified as 692 33 23 7 19 53 30 | a = chest 68 599 75 14 25 19 53 | b = forearm 13 47 751 3 10 10 22 | c = head 23 18 5 722 38 27 25 | d = shin 34 23 19 34 687 38 24 | e = thigh 60 31 13 20 33 676 23 | f = upperarm 36 35 46 14 10 18 699 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4759 79.3563 % Incorrectly Classified Instances 1238 20.6437 % Kappa statistic 0.7592 Mean absolute error 0.1006 Root mean squared error 0.2068 Relative absolute error 41.0818 % Root relative squared error 59.0941 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.805 0.044 0.755 0.805 0.779 0.97 chest 0.709 0.044 0.73 0.709 0.719 0.955 forearm 0.854 0.035 0.801 0.854 0.826 0.982 head 0.825 0.017 0.893 0.825 0.858 0.981 shin 0.8 0.031 0.812 0.8 0.806 0.972 thigh 0.773 0.032 0.802 0.773 0.788 0.974 upperarm 0.788 0.039 0.771 0.788 0.779 0.971 waist Weighted Avg. 0.794 0.034 0.795 0.794 0.794 0.972 === Confusion Matrix === a b c d e f g <-- classified as 690 42 23 3 16 45 38 | a = chest 56 605 82 8 22 18 62 | b = forearm 16 64 731 4 6 8 27 | c = head 17 19 10 708 48 29 27 | d = shin 30 19 21 34 687 46 22 | e = thigh 62 29 9 20 49 662 25 | f = upperarm 43 51 37 16 18 17 676 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4699 78.3558 % Incorrectly Classified Instances 1298 21.6442 % Kappa statistic 0.7475 Mean absolute error 0.1044 Root mean squared error 0.2125 Relative absolute error 42.649 % Root relative squared error 60.7299 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.795 0.044 0.75 0.795 0.772 0.971 chest 0.707 0.044 0.727 0.707 0.717 0.952 forearm 0.857 0.039 0.783 0.857 0.819 0.98 head 0.781 0.016 0.889 0.781 0.831 0.977 shin 0.774 0.03 0.811 0.774 0.792 0.969 thigh 0.771 0.036 0.783 0.771 0.777 0.966 upperarm 0.8 0.043 0.758 0.8 0.778 0.966 waist Weighted Avg. 0.784 0.036 0.786 0.784 0.784 0.969 === Confusion Matrix === a b c d e f g <-- classified as 681 51 20 5 12 48 40 | a = chest 57 603 79 7 28 23 56 | b = forearm 10 57 734 1 11 17 26 | c = head 34 17 11 670 55 36 35 | d = shin 29 25 25 30 665 49 36 | e = thigh 52 36 15 29 38 660 26 | f = upperarm 45 41 53 12 11 10 686 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4768 79.5064 % Incorrectly Classified Instances 1229 20.4936 % Kappa statistic 0.7609 Mean absolute error 0.1021 Root mean squared error 0.2082 Relative absolute error 41.6724 % Root relative squared error 59.5093 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.773 0.047 0.733 0.773 0.752 0.966 chest 0.72 0.046 0.722 0.72 0.721 0.956 forearm 0.86 0.036 0.801 0.86 0.829 0.981 head 0.81 0.018 0.881 0.81 0.844 0.978 shin 0.795 0.028 0.826 0.795 0.81 0.975 thigh 0.812 0.029 0.822 0.812 0.817 0.976 upperarm 0.796 0.035 0.792 0.796 0.794 0.97 waist Weighted Avg. 0.795 0.034 0.797 0.795 0.795 0.972 === Confusion Matrix === a b c d e f g <-- classified as 663 55 24 10 17 51 38 | a = chest 71 614 69 14 18 14 53 | b = forearm 17 58 736 2 11 11 21 | c = head 28 19 19 694 47 21 29 | d = shin 22 36 23 38 682 40 17 | e = thigh 56 27 8 20 29 696 21 | f = upperarm 48 41 40 10 22 14 683 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4756 79.3063 % Incorrectly Classified Instances 1241 20.6937 % Kappa statistic 0.7586 Mean absolute error 0.1009 Root mean squared error 0.2078 Relative absolute error 41.2026 % Root relative squared error 59.3853 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.8 0.047 0.738 0.8 0.767 0.969 chest 0.736 0.05 0.71 0.736 0.723 0.958 forearm 0.865 0.032 0.816 0.865 0.84 0.985 head 0.834 0.016 0.895 0.834 0.864 0.982 shin 0.781 0.025 0.842 0.781 0.81 0.971 thigh 0.775 0.037 0.778 0.775 0.776 0.968 upperarm 0.761 0.034 0.789 0.761 0.775 0.967 waist Weighted Avg. 0.793 0.034 0.795 0.793 0.794 0.971 === Confusion Matrix === a b c d e f g <-- classified as 686 53 17 7 12 53 30 | a = chest 60 628 71 5 13 18 58 | b = forearm 16 68 741 2 5 13 12 | c = head 21 23 6 715 33 29 30 | d = shin 28 27 13 34 670 61 25 | e = thigh 62 31 14 23 44 664 19 | f = upperarm 57 54 46 13 19 16 652 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4782 79.7399 % Incorrectly Classified Instances 1215 20.2601 % Kappa statistic 0.7636 Mean absolute error 0.1013 Root mean squared error 0.2072 Relative absolute error 41.359 % Root relative squared error 59.2159 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.797 0.044 0.751 0.797 0.773 0.971 chest 0.734 0.048 0.718 0.734 0.726 0.957 forearm 0.867 0.034 0.808 0.867 0.837 0.984 head 0.834 0.018 0.883 0.834 0.858 0.982 shin 0.781 0.025 0.838 0.781 0.808 0.971 thigh 0.79 0.03 0.817 0.79 0.803 0.976 upperarm 0.778 0.037 0.779 0.778 0.779 0.967 waist Weighted Avg. 0.797 0.034 0.799 0.797 0.798 0.972 === Confusion Matrix === a b c d e f g <-- classified as 684 56 21 11 11 41 34 | a = chest 57 626 68 12 20 14 56 | b = forearm 13 62 743 1 4 12 22 | c = head 24 21 3 715 45 22 27 | d = shin 23 33 13 44 670 49 26 | e = thigh 63 35 13 16 29 677 24 | f = upperarm 47 39 58 11 21 14 667 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4769 79.5231 % Incorrectly Classified Instances 1228 20.4769 % Kappa statistic 0.7611 Mean absolute error 0.1018 Root mean squared error 0.2089 Relative absolute error 41.5644 % Root relative squared error 59.697 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.811 0.045 0.751 0.811 0.78 0.971 chest 0.715 0.043 0.734 0.715 0.724 0.953 forearm 0.88 0.038 0.794 0.88 0.835 0.983 head 0.831 0.02 0.875 0.831 0.852 0.978 shin 0.775 0.03 0.811 0.775 0.793 0.969 thigh 0.784 0.035 0.791 0.784 0.787 0.97 upperarm 0.77 0.028 0.819 0.77 0.794 0.968 waist Weighted Avg. 0.795 0.034 0.796 0.795 0.795 0.97 === Confusion Matrix === a b c d e f g <-- classified as 695 40 12 8 14 58 30 | a = chest 67 610 88 12 25 23 28 | b = forearm 16 47 754 0 6 14 20 | c = head 28 18 8 712 48 23 20 | d = shin 30 33 22 38 665 44 26 | e = thigh 49 38 7 22 47 672 22 | f = upperarm 40 45 59 22 15 16 661 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4765 79.4564 % Incorrectly Classified Instances 1232 20.5436 % Kappa statistic 0.7603 Mean absolute error 0.1011 Root mean squared error 0.207 Relative absolute error 41.2647 % Root relative squared error 59.1654 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.792 0.046 0.744 0.792 0.767 0.969 chest 0.704 0.044 0.728 0.704 0.716 0.955 forearm 0.866 0.041 0.778 0.866 0.82 0.982 head 0.837 0.016 0.895 0.837 0.865 0.979 shin 0.788 0.025 0.839 0.788 0.813 0.971 thigh 0.789 0.035 0.788 0.789 0.788 0.974 upperarm 0.786 0.032 0.801 0.786 0.793 0.97 waist Weighted Avg. 0.795 0.034 0.796 0.795 0.795 0.971 === Confusion Matrix === a b c d e f g <-- classified as 679 45 34 4 14 56 25 | a = chest 62 600 92 8 28 19 43 | b = forearm 14 60 741 2 6 14 19 | c = head 20 19 5 718 39 27 30 | d = shin 26 36 22 26 677 51 21 | e = thigh 58 28 12 24 30 676 29 | f = upperarm 54 36 46 20 13 15 674 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4752 79.2528 % Incorrectly Classified Instances 1244 20.7472 % Kappa statistic 0.758 Mean absolute error 0.1014 Root mean squared error 0.2079 Relative absolute error 41.3994 % Root relative squared error 59.3999 % Total Number of Instances 5996 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.788 0.044 0.749 0.788 0.768 0.971 chest 0.7 0.045 0.719 0.7 0.709 0.953 forearm 0.868 0.039 0.788 0.868 0.826 0.982 head 0.845 0.017 0.894 0.845 0.869 0.982 shin 0.781 0.026 0.831 0.781 0.806 0.97 thigh 0.792 0.033 0.8 0.792 0.796 0.975 upperarm 0.774 0.038 0.774 0.774 0.774 0.968 waist Weighted Avg. 0.793 0.035 0.794 0.793 0.793 0.972 === Confusion Matrix === a b c d e f g <-- classified as 675 51 27 3 8 60 33 | a = chest 54 596 89 8 32 17 56 | b = forearm 13 50 743 3 9 8 30 | c = head 23 18 7 725 39 29 17 | d = shin 27 33 14 45 671 40 29 | e = thigh 54 35 9 20 31 678 29 | f = upperarm 55 46 54 7 17 15 664 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 9 FOLD: 0 Correctly Classified Instances 4751 79.2229 % Incorrectly Classified Instances 1246 20.7771 % Kappa statistic 0.7576 Mean absolute error 0.1017 Root mean squared error 0.2083 Relative absolute error 41.5106 % Root relative squared error 59.5341 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.796 0.05 0.727 0.796 0.76 0.97 chest 0.681 0.042 0.73 0.681 0.704 0.952 forearm 0.879 0.037 0.799 0.879 0.837 0.984 head 0.808 0.015 0.899 0.808 0.851 0.979 shin 0.795 0.027 0.83 0.795 0.812 0.971 thigh 0.797 0.032 0.808 0.797 0.802 0.972 upperarm 0.79 0.04 0.768 0.79 0.779 0.968 waist Weighted Avg. 0.792 0.035 0.794 0.792 0.792 0.971 === Confusion Matrix === a b c d e f g <-- classified as 683 48 23 6 12 55 31 | a = chest 73 580 89 10 18 14 68 | b = forearm 13 49 753 1 9 11 21 | c = head 25 24 7 693 51 25 33 | d = shin 28 35 14 27 682 49 23 | e = thigh 53 27 10 17 38 682 29 | f = upperarm 64 32 47 17 12 8 678 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4746 79.1396 % Incorrectly Classified Instances 1251 20.8604 % Kappa statistic 0.7566 Mean absolute error 0.1015 Root mean squared error 0.2077 Relative absolute error 41.432 % Root relative squared error 59.3683 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.783 0.047 0.734 0.783 0.758 0.968 chest 0.697 0.047 0.709 0.697 0.703 0.954 forearm 0.873 0.035 0.804 0.873 0.837 0.985 head 0.815 0.02 0.869 0.815 0.841 0.978 shin 0.782 0.03 0.814 0.782 0.798 0.97 thigh 0.8 0.029 0.824 0.8 0.812 0.978 upperarm 0.789 0.034 0.793 0.789 0.791 0.972 waist Weighted Avg. 0.791 0.035 0.793 0.791 0.791 0.972 === Confusion Matrix === a b c d e f g <-- classified as 672 62 19 7 18 47 33 | a = chest 61 594 82 16 31 11 57 | b = forearm 16 51 747 4 10 8 20 | c = head 29 23 8 699 45 24 30 | d = shin 22 30 21 46 671 41 27 | e = thigh 64 29 11 23 34 686 10 | f = upperarm 51 49 41 9 15 16 677 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4772 79.5731 % Incorrectly Classified Instances 1225 20.4269 % Kappa statistic 0.7617 Mean absolute error 0.1023 Root mean squared error 0.2083 Relative absolute error 41.7888 % Root relative squared error 59.5213 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.807 0.044 0.754 0.807 0.779 0.971 chest 0.722 0.045 0.727 0.722 0.725 0.956 forearm 0.854 0.038 0.789 0.854 0.82 0.983 head 0.84 0.016 0.898 0.84 0.868 0.981 shin 0.811 0.025 0.845 0.811 0.828 0.976 thigh 0.772 0.031 0.805 0.772 0.789 0.969 upperarm 0.763 0.04 0.763 0.763 0.763 0.964 waist Weighted Avg. 0.796 0.034 0.797 0.796 0.796 0.971 === Confusion Matrix === a b c d e f g <-- classified as 692 33 26 8 11 51 37 | a = chest 59 616 85 4 22 20 47 | b = forearm 9 58 731 2 6 16 34 | c = head 23 19 7 720 33 23 32 | d = shin 25 26 14 37 696 37 23 | e = thigh 62 33 14 19 37 662 30 | f = upperarm 48 62 49 12 19 13 655 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4779 79.6898 % Incorrectly Classified Instances 1218 20.3102 % Kappa statistic 0.763 Mean absolute error 0.1016 Root mean squared error 0.2076 Relative absolute error 41.4722 % Root relative squared error 59.3395 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.809 0.046 0.748 0.809 0.777 0.97 chest 0.719 0.043 0.734 0.719 0.726 0.955 forearm 0.86 0.036 0.797 0.86 0.827 0.983 head 0.823 0.018 0.886 0.823 0.853 0.979 shin 0.776 0.026 0.834 0.776 0.804 0.969 thigh 0.805 0.034 0.8 0.805 0.802 0.975 upperarm 0.787 0.035 0.791 0.787 0.789 0.967 waist Weighted Avg. 0.797 0.034 0.799 0.797 0.797 0.971 === Confusion Matrix === a b c d e f g <-- classified as 693 46 15 11 6 49 37 | a = chest 65 613 74 12 28 17 44 | b = forearm 19 64 736 0 6 11 20 | c = head 26 20 13 705 41 26 26 | d = shin 33 36 13 31 667 57 22 | e = thigh 42 21 13 25 37 690 29 | f = upperarm 49 35 59 12 15 13 675 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4794 79.94 % Incorrectly Classified Instances 1203 20.06 % Kappa statistic 0.766 Mean absolute error 0.102 Root mean squared error 0.2076 Relative absolute error 41.6524 % Root relative squared error 59.3159 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.776 0.039 0.769 0.776 0.772 0.969 chest 0.719 0.04 0.749 0.719 0.734 0.959 forearm 0.876 0.037 0.799 0.876 0.836 0.984 head 0.821 0.018 0.881 0.821 0.85 0.978 shin 0.782 0.031 0.81 0.782 0.796 0.971 thigh 0.819 0.031 0.817 0.819 0.818 0.976 upperarm 0.802 0.039 0.776 0.802 0.789 0.971 waist Weighted Avg. 0.799 0.033 0.8 0.799 0.799 0.973 === Confusion Matrix === a b c d e f g <-- classified as 665 41 31 6 23 52 39 | a = chest 53 613 74 11 27 17 58 | b = forearm 10 54 750 2 6 11 23 | c = head 26 11 13 704 52 22 29 | d = shin 25 25 23 43 672 47 24 | e = thigh 45 28 11 15 30 702 26 | f = upperarm 41 46 37 18 20 8 688 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4754 79.273 % Incorrectly Classified Instances 1243 20.727 % Kappa statistic 0.7582 Mean absolute error 0.1025 Root mean squared error 0.2092 Relative absolute error 41.871 % Root relative squared error 59.7963 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.796 0.043 0.754 0.796 0.775 0.971 chest 0.703 0.049 0.705 0.703 0.704 0.948 forearm 0.864 0.037 0.796 0.864 0.829 0.983 head 0.824 0.02 0.875 0.824 0.849 0.98 shin 0.799 0.027 0.83 0.799 0.814 0.973 thigh 0.783 0.031 0.81 0.783 0.796 0.972 upperarm 0.78 0.035 0.787 0.78 0.783 0.97 waist Weighted Avg. 0.793 0.035 0.794 0.793 0.793 0.971 === Confusion Matrix === a b c d e f g <-- classified as 682 42 27 6 14 42 44 | a = chest 58 600 88 9 27 16 55 | b = forearm 13 63 740 2 15 10 13 | c = head 27 20 4 706 43 39 18 | d = shin 19 34 19 41 686 37 23 | e = thigh 66 37 6 27 22 671 28 | f = upperarm 39 55 46 16 20 13 669 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4741 79.0562 % Incorrectly Classified Instances 1256 20.9438 % Kappa statistic 0.7557 Mean absolute error 0.1011 Root mean squared error 0.2082 Relative absolute error 41.3028 % Root relative squared error 59.5079 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.782 0.046 0.739 0.782 0.76 0.968 chest 0.706 0.043 0.733 0.706 0.719 0.957 forearm 0.867 0.036 0.802 0.867 0.833 0.982 head 0.843 0.019 0.882 0.843 0.862 0.981 shin 0.763 0.028 0.82 0.763 0.79 0.966 thigh 0.789 0.033 0.798 0.789 0.793 0.971 upperarm 0.786 0.04 0.767 0.786 0.776 0.968 waist Weighted Avg. 0.791 0.035 0.792 0.791 0.791 0.971 === Confusion Matrix === a b c d e f g <-- classified as 670 50 19 7 17 55 39 | a = chest 69 602 73 9 28 16 56 | b = forearm 13 54 742 2 9 10 26 | c = head 27 19 8 723 39 22 20 | d = shin 26 27 21 45 655 51 34 | e = thigh 56 27 9 19 40 675 30 | f = upperarm 46 42 53 15 11 17 674 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4779 79.6898 % Incorrectly Classified Instances 1218 20.3102 % Kappa statistic 0.7631 Mean absolute error 0.0992 Root mean squared error 0.2056 Relative absolute error 40.5135 % Root relative squared error 58.7526 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.793 0.046 0.742 0.793 0.767 0.971 chest 0.751 0.043 0.744 0.751 0.748 0.959 forearm 0.863 0.034 0.809 0.863 0.835 0.982 head 0.832 0.018 0.884 0.832 0.857 0.982 shin 0.79 0.023 0.851 0.79 0.82 0.974 thigh 0.782 0.039 0.769 0.782 0.775 0.973 upperarm 0.766 0.033 0.793 0.766 0.779 0.966 waist Weighted Avg. 0.797 0.034 0.799 0.797 0.797 0.973 === Confusion Matrix === a b c d e f g <-- classified as 680 44 21 9 11 59 33 | a = chest 62 641 66 10 14 21 39 | b = forearm 20 54 739 0 7 12 24 | c = head 22 15 8 714 41 26 32 | d = shin 17 30 24 34 679 57 18 | e = thigh 66 35 10 24 27 669 25 | f = upperarm 50 43 46 17 19 26 657 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4747 79.1562 % Incorrectly Classified Instances 1250 20.8438 % Kappa statistic 0.7568 Mean absolute error 0.1022 Root mean squared error 0.2084 Relative absolute error 41.743 % Root relative squared error 59.5651 % Total Number of Instances 5997 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.793 0.042 0.758 0.793 0.775 0.97 chest 0.73 0.047 0.72 0.73 0.725 0.955 forearm 0.852 0.036 0.8 0.852 0.825 0.982 head 0.826 0.016 0.899 0.826 0.861 0.983 shin 0.787 0.03 0.814 0.787 0.8 0.972 thigh 0.764 0.034 0.789 0.764 0.776 0.971 upperarm 0.788 0.039 0.772 0.788 0.78 0.967 waist Weighted Avg. 0.792 0.035 0.793 0.792 0.792 0.971 === Confusion Matrix === a b c d e f g <-- classified as 680 48 23 8 11 47 40 | a = chest 60 623 68 10 19 22 51 | b = forearm 14 69 730 1 9 11 23 | c = head 22 19 4 709 50 27 27 | d = shin 27 33 12 28 676 53 30 | e = thigh 48 41 22 20 43 654 28 | f = upperarm 46 32 54 13 22 15 675 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4759 79.3696 % Incorrectly Classified Instances 1237 20.6304 % Kappa statistic 0.7593 Mean absolute error 0.101 Root mean squared error 0.2078 Relative absolute error 41.2513 % Root relative squared error 59.3816 % Total Number of Instances 5996 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.797 0.046 0.742 0.797 0.768 0.97 chest 0.733 0.044 0.733 0.733 0.733 0.957 forearm 0.849 0.036 0.797 0.849 0.823 0.983 head 0.837 0.019 0.881 0.837 0.858 0.982 shin 0.779 0.029 0.82 0.779 0.799 0.971 thigh 0.776 0.035 0.786 0.776 0.781 0.968 upperarm 0.785 0.031 0.807 0.785 0.796 0.972 waist Weighted Avg. 0.794 0.034 0.795 0.794 0.794 0.972 === Confusion Matrix === a b c d e f g <-- classified as 683 55 13 10 17 49 30 | a = chest 62 625 79 6 19 17 45 | b = forearm 13 56 728 2 17 14 27 | c = head 28 14 7 718 44 27 20 | d = shin 27 20 23 38 668 61 21 | e = thigh 57 39 14 28 36 664 18 | f = upperarm 51 44 49 13 14 13 673 | g = waist ------------------------------------------------------------------------------------------------------ SUBJECT: 12 RUN: 0 FOLD: 0 Correctly Classified Instances 4893 84.4786 % Incorrectly Classified Instances 899 15.5214 % Kappa statistic 0.8189 Mean absolute error 0.0796 Root mean squared error 0.181 Relative absolute error 32.5114 % Root relative squared error 51.7215 % Total Number of Instances 5792 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.889 0.034 0.813 0.889 0.849 0.987 chest 0.788 0.032 0.803 0.788 0.796 0.974 forearm 0.869 0.027 0.843 0.869 0.856 0.988 head 0.909 0.011 0.932 0.909 0.921 0.994 shin 0.836 0.032 0.813 0.836 0.824 0.981 thigh 0.792 0.022 0.855 0.792 0.822 0.98 upperarm 0.831 0.023 0.86 0.831 0.845 0.985 waist Weighted Avg. 0.845 0.026 0.846 0.845 0.845 0.984 === Confusion Matrix === a b c d e f g <-- classified as 736 9 4 5 24 32 18 | a = chest 28 650 55 12 16 19 45 | b = forearm 6 52 720 2 16 12 21 | c = head 6 14 12 753 30 7 6 | d = shin 39 9 29 10 692 34 15 | e = thigh 53 30 9 11 62 654 7 | f = upperarm 37 45 25 15 11 7 688 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4936 85.221 % Incorrectly Classified Instances 856 14.779 % Kappa statistic 0.8276 Mean absolute error 0.0785 Root mean squared error 0.1792 Relative absolute error 32.0535 % Root relative squared error 51.2249 % Total Number of Instances 5792 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.867 0.03 0.826 0.867 0.846 0.985 chest 0.791 0.031 0.811 0.791 0.801 0.975 forearm 0.87 0.021 0.873 0.87 0.871 0.988 head 0.901 0.012 0.926 0.901 0.913 0.994 shin 0.855 0.03 0.824 0.855 0.839 0.982 thigh 0.828 0.025 0.849 0.828 0.838 0.986 upperarm 0.853 0.023 0.86 0.853 0.856 0.986 waist Weighted Avg. 0.852 0.025 0.853 0.852 0.852 0.985 === Confusion Matrix === a b c d e f g <-- classified as 718 14 2 1 23 45 25 | a = chest 27 652 57 14 15 16 43 | b = forearm 7 45 721 3 18 10 25 | c = head 7 19 3 746 33 12 8 | d = shin 33 8 17 19 708 36 7 | e = thigh 42 26 4 13 50 685 7 | f = upperarm 35 40 22 10 12 3 706 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4926 85.0483 % Incorrectly Classified Instances 866 14.9517 % Kappa statistic 0.8256 Mean absolute error 0.0797 Root mean squared error 0.1807 Relative absolute error 32.5253 % Root relative squared error 51.6314 % Total Number of Instances 5792 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.868 0.034 0.808 0.868 0.837 0.985 chest 0.813 0.029 0.825 0.813 0.819 0.977 forearm 0.877 0.025 0.853 0.877 0.865 0.988 head 0.929 0.013 0.922 0.929 0.925 0.996 shin 0.809 0.027 0.833 0.809 0.821 0.98 thigh 0.842 0.025 0.849 0.842 0.845 0.985 upperarm 0.815 0.021 0.865 0.815 0.84 0.983 waist Weighted Avg. 0.85 0.025 0.851 0.85 0.85 0.985 === Confusion Matrix === a b c d e f g <-- classified as 719 12 5 3 23 42 24 | a = chest 20 670 54 12 13 16 39 | b = forearm 10 40 727 3 20 8 21 | c = head 8 7 6 769 18 14 6 | d = shin 40 21 27 23 670 37 10 | e = thigh 46 17 6 11 46 696 5 | f = upperarm 47 45 27 13 14 7 675 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4938 85.2555 % Incorrectly Classified Instances 854 14.7445 % Kappa statistic 0.828 Mean absolute error 0.0793 Root mean squared error 0.1805 Relative absolute error 32.3655 % Root relative squared error 51.5905 % Total Number of Instances 5792 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.872 0.033 0.813 0.872 0.841 0.985 chest 0.81 0.029 0.822 0.81 0.816 0.976 forearm 0.879 0.022 0.872 0.879 0.876 0.989 head 0.921 0.012 0.926 0.921 0.924 0.996 shin 0.837 0.029 0.829 0.837 0.833 0.979 thigh 0.819 0.022 0.864 0.819 0.84 0.98 upperarm 0.83 0.025 0.846 0.83 0.838 0.983 waist Weighted Avg. 0.853 0.025 0.853 0.853 0.853 0.984 === Confusion Matrix === a b c d e f g <-- classified as 721 13 5 3 31 33 21 | a = chest 18 668 48 10 14 12 55 | b = forearm 5 39 729 1 22 12 21 | c = head 5 16 5 763 25 6 8 | d = shin 37 14 14 26 693 36 8 | e = thigh 56 24 5 11 42 677 12 | f = upperarm 45 39 30 10 9 8 687 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4966 85.739 % Incorrectly Classified Instances 826 14.261 % Kappa statistic 0.8336 Mean absolute error 0.0774 Root mean squared error 0.1776 Relative absolute error 31.6243 % Root relative squared error 50.7624 % Total Number of Instances 5792 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.879 0.034 0.81 0.879 0.843 0.985 chest 0.813 0.031 0.811 0.813 0.812 0.978 forearm 0.889 0.019 0.885 0.889 0.887 0.991 head 0.919 0.013 0.921 0.919 0.92 0.994 shin 0.848 0.025 0.848 0.848 0.848 0.981 thigh 0.827 0.02 0.872 0.827 0.849 0.985 upperarm 0.826 0.023 0.859 0.826 0.842 0.984 waist Weighted Avg. 0.857 0.024 0.858 0.857 0.857 0.985 === Confusion Matrix === a b c d e f g <-- classified as 728 15 0 4 24 37 20 | a = chest 23 671 48 10 12 15 46 | b = forearm 7 40 737 0 14 4 27 | c = head 18 7 3 761 23 8 8 | d = shin 34 16 14 26 701 31 5 | e = thigh 49 36 3 9 40 684 6 | f = upperarm 40 42 28 16 13 5 684 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4933 85.1839 % Incorrectly Classified Instances 858 14.8161 % Kappa statistic 0.8271 Mean absolute error 0.0782 Root mean squared error 0.1788 Relative absolute error 31.9491 % Root relative squared error 51.1026 % Total Number of Instances 5791 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.882 0.029 0.835 0.882 0.858 0.987 chest 0.798 0.029 0.818 0.798 0.808 0.979 forearm 0.859 0.021 0.873 0.859 0.866 0.988 head 0.92 0.015 0.912 0.92 0.916 0.994 shin 0.83 0.029 0.829 0.83 0.829 0.98 thigh 0.813 0.024 0.851 0.813 0.831 0.983 upperarm 0.862 0.026 0.845 0.862 0.854 0.985 waist Weighted Avg. 0.852 0.025 0.852 0.852 0.852 0.985 === Confusion Matrix === a b c d e f g <-- classified as 730 13 2 3 15 38 27 | a = chest 21 658 58 15 16 14 43 | b = forearm 9 43 712 1 19 15 30 | c = head 8 8 2 761 34 8 6 | d = shin 29 15 16 31 686 38 12 | e = thigh 45 31 4 15 47 672 13 | f = upperarm 32 36 22 8 11 5 714 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4952 85.512 % Incorrectly Classified Instances 839 14.488 % Kappa statistic 0.831 Mean absolute error 0.0795 Root mean squared error 0.1794 Relative absolute error 32.4735 % Root relative squared error 51.266 % Total Number of Instances 5791 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.865 0.031 0.821 0.865 0.842 0.986 chest 0.796 0.026 0.835 0.796 0.815 0.979 forearm 0.891 0.023 0.868 0.891 0.88 0.99 head 0.915 0.011 0.932 0.915 0.924 0.995 shin 0.839 0.026 0.845 0.839 0.842 0.98 thigh 0.85 0.024 0.855 0.85 0.853 0.983 upperarm 0.829 0.028 0.831 0.829 0.83 0.982 waist Weighted Avg. 0.855 0.024 0.855 0.855 0.855 0.985 === Confusion Matrix === a b c d e f g <-- classified as 716 17 5 1 23 37 29 | a = chest 18 657 52 8 12 19 59 | b = forearm 3 39 739 1 14 9 24 | c = head 8 13 2 757 26 11 10 | d = shin 37 9 19 23 694 38 7 | e = thigh 43 18 6 9 37 703 11 | f = upperarm 47 34 28 13 15 5 686 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4968 85.7883 % Incorrectly Classified Instances 823 14.2117 % Kappa statistic 0.8342 Mean absolute error 0.0761 Root mean squared error 0.1767 Relative absolute error 31.059 % Root relative squared error 50.4889 % Total Number of Instances 5791 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.877 0.032 0.818 0.877 0.847 0.984 chest 0.818 0.027 0.832 0.818 0.825 0.979 forearm 0.905 0.022 0.874 0.905 0.889 0.992 head 0.925 0.014 0.917 0.925 0.921 0.995 shin 0.855 0.027 0.842 0.855 0.848 0.981 thigh 0.814 0.022 0.861 0.814 0.837 0.98 upperarm 0.812 0.022 0.863 0.812 0.836 0.985 waist Weighted Avg. 0.858 0.024 0.858 0.858 0.858 0.985 === Confusion Matrix === a b c d e f g <-- classified as 726 15 4 4 19 37 23 | a = chest 18 675 55 13 9 15 40 | b = forearm 4 34 750 3 12 6 20 | c = head 6 6 2 765 33 7 8 | d = shin 29 7 14 22 707 40 8 | e = thigh 53 22 6 13 52 673 8 | f = upperarm 51 52 27 14 8 4 672 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4906 84.7177 % Incorrectly Classified Instances 885 15.2823 % Kappa statistic 0.8217 Mean absolute error 0.0788 Root mean squared error 0.1803 Relative absolute error 32.1949 % Root relative squared error 51.5173 % Total Number of Instances 5791 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.862 0.034 0.807 0.862 0.834 0.987 chest 0.802 0.027 0.834 0.802 0.818 0.976 forearm 0.89 0.021 0.875 0.89 0.883 0.99 head 0.909 0.011 0.93 0.909 0.919 0.994 shin 0.846 0.03 0.824 0.846 0.835 0.983 thigh 0.793 0.027 0.829 0.793 0.811 0.98 upperarm 0.826 0.027 0.834 0.826 0.83 0.981 waist Weighted Avg. 0.847 0.025 0.848 0.847 0.847 0.984 === Confusion Matrix === a b c d e f g <-- classified as 714 14 4 4 18 51 23 | a = chest 22 662 41 11 13 20 56 | b = forearm 5 37 738 2 12 9 26 | c = head 7 9 3 753 39 6 11 | d = shin 38 5 19 19 700 39 7 | e = thigh 60 25 9 11 53 655 13 | f = upperarm 39 42 29 10 14 10 684 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4875 84.1824 % Incorrectly Classified Instances 916 15.8176 % Kappa statistic 0.8155 Mean absolute error 0.0812 Root mean squared error 0.1832 Relative absolute error 33.1518 % Root relative squared error 52.3614 % Total Number of Instances 5791 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.865 0.036 0.798 0.865 0.83 0.985 chest 0.781 0.029 0.816 0.781 0.798 0.975 forearm 0.871 0.025 0.853 0.871 0.862 0.987 head 0.901 0.016 0.906 0.901 0.904 0.994 shin 0.838 0.026 0.842 0.838 0.84 0.98 thigh 0.843 0.024 0.852 0.843 0.847 0.983 upperarm 0.795 0.028 0.827 0.795 0.81 0.981 waist Weighted Avg. 0.842 0.026 0.842 0.842 0.842 0.984 === Confusion Matrix === a b c d e f g <-- classified as 716 11 7 2 22 44 26 | a = chest 25 644 64 12 12 18 50 | b = forearm 9 43 722 3 18 5 29 | c = head 9 16 1 746 35 11 10 | d = shin 32 11 18 28 693 34 11 | e = thigh 50 17 12 7 32 696 12 | f = upperarm 56 47 22 25 11 9 658 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 1 FOLD: 0 Correctly Classified Instances 4878 84.2196 % Incorrectly Classified Instances 914 15.7804 % Kappa statistic 0.8159 Mean absolute error 0.08 Root mean squared error 0.1824 Relative absolute error 32.6655 % Root relative squared error 52.1199 % Total Number of Instances 5792 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.862 0.034 0.809 0.862 0.835 0.986 chest 0.793 0.026 0.833 0.793 0.812 0.979 forearm 0.883 0.025 0.855 0.883 0.869 0.988 head 0.915 0.014 0.915 0.915 0.915 0.995 shin 0.82 0.031 0.815 0.82 0.817 0.977 thigh 0.823 0.026 0.84 0.823 0.832 0.983 upperarm 0.798 0.027 0.829 0.798 0.814 0.98 waist Weighted Avg. 0.842 0.026 0.842 0.842 0.842 0.984 === Confusion Matrix === a b c d e f g <-- classified as 714 11 4 4 19 48 28 | a = chest 19 654 57 11 12 22 50 | b = forearm 6 32 732 0 22 12 25 | c = head 8 7 4 758 35 8 8 | d = shin 39 15 21 30 678 33 11 | e = thigh 41 22 7 9 53 681 14 | f = upperarm 56 44 31 16 13 7 661 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4895 84.5131 % Incorrectly Classified Instances 897 15.4869 % Kappa statistic 0.8193 Mean absolute error 0.0805 Root mean squared error 0.1826 Relative absolute error 32.8653 % Root relative squared error 52.1961 % Total Number of Instances 5792 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.876 0.037 0.799 0.876 0.836 0.984 chest 0.782 0.029 0.816 0.782 0.799 0.975 forearm 0.877 0.024 0.859 0.877 0.868 0.988 head 0.92 0.015 0.913 0.92 0.916 0.993 shin 0.826 0.03 0.822 0.826 0.824 0.978 thigh 0.82 0.021 0.867 0.82 0.843 0.984 upperarm 0.815 0.025 0.843 0.815 0.829 0.981 waist Weighted Avg. 0.845 0.026 0.846 0.845 0.845 0.983 === Confusion Matrix === a b c d e f g <-- classified as 725 14 2 1 24 34 28 | a = chest 25 645 60 17 14 16 48 | b = forearm 8 44 727 4 14 8 24 | c = head 9 10 1 762 30 7 9 | d = shin 36 14 21 26 683 35 12 | e = thigh 59 19 6 11 49 678 5 | f = upperarm 45 44 29 14 17 4 675 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4955 85.549 % Incorrectly Classified Instances 837 14.451 % Kappa statistic 0.8314 Mean absolute error 0.077 Root mean squared error 0.1771 Relative absolute error 31.4499 % Root relative squared error 50.5999 % Total Number of Instances 5792 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.871 0.029 0.835 0.871 0.853 0.988 chest 0.798 0.022 0.856 0.798 0.826 0.977 forearm 0.871 0.023 0.862 0.871 0.866 0.988 head 0.906 0.012 0.926 0.906 0.916 0.995 shin 0.871 0.03 0.83 0.871 0.85 0.986 thigh 0.823 0.024 0.852 0.823 0.838 0.982 upperarm 0.849 0.029 0.831 0.849 0.84 0.985 waist Weighted Avg. 0.855 0.024 0.856 0.855 0.855 0.986 === Confusion Matrix === a b c d e f g <-- classified as 721 10 5 4 19 45 24 | a = chest 19 658 46 18 14 17 53 | b = forearm 6 34 722 1 16 14 36 | c = head 6 15 4 750 39 5 9 | d = shin 32 2 21 14 720 32 6 | e = thigh 48 18 8 11 46 681 15 | f = upperarm 31 32 32 12 13 5 703 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4952 85.4972 % Incorrectly Classified Instances 840 14.5028 % Kappa statistic 0.8308 Mean absolute error 0.0779 Root mean squared error 0.1786 Relative absolute error 31.7903 % Root relative squared error 51.0314 % Total Number of Instances 5792 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.877 0.027 0.844 0.877 0.86 0.987 chest 0.805 0.029 0.824 0.805 0.814 0.977 forearm 0.877 0.023 0.867 0.877 0.872 0.99 head 0.919 0.012 0.925 0.919 0.922 0.994 shin 0.828 0.029 0.824 0.828 0.826 0.979 thigh 0.823 0.026 0.839 0.823 0.831 0.981 upperarm 0.855 0.023 0.862 0.855 0.859 0.986 waist Weighted Avg. 0.855 0.024 0.855 0.855 0.855 0.985 === Confusion Matrix === a b c d e f g <-- classified as 726 11 1 2 28 35 25 | a = chest 20 664 57 7 16 18 43 | b = forearm 7 41 727 2 19 10 23 | c = head 5 11 6 761 24 12 9 | d = shin 26 16 18 23 685 51 8 | e = thigh 48 28 3 15 47 681 5 | f = upperarm 28 35 27 13 12 5 708 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4940 85.2901 % Incorrectly Classified Instances 852 14.7099 % Kappa statistic 0.8284 Mean absolute error 0.0792 Root mean squared error 0.1802 Relative absolute error 32.3583 % Root relative squared error 51.4975 % Total Number of Instances 5792 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.878 0.033 0.815 0.878 0.845 0.983 chest 0.798 0.032 0.806 0.798 0.802 0.975 forearm 0.895 0.024 0.863 0.895 0.879 0.99 head 0.938 0.009 0.944 0.938 0.941 0.996 shin 0.846 0.023 0.859 0.846 0.853 0.984 thigh 0.815 0.023 0.855 0.815 0.835 0.979 upperarm 0.8 0.027 0.83 0.8 0.814 0.979 waist Weighted Avg. 0.853 0.025 0.853 0.853 0.853 0.984 === Confusion Matrix === a b c d e f g <-- classified as 727 11 6 3 23 37 21 | a = chest 22 658 46 6 10 18 65 | b = forearm 5 43 742 1 11 7 20 | c = head 10 4 4 777 18 5 10 | d = shin 31 11 21 16 700 40 8 | e = thigh 46 35 9 11 40 674 12 | f = upperarm 51 54 32 9 13 7 662 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4930 85.1321 % Incorrectly Classified Instances 861 14.8679 % Kappa statistic 0.8265 Mean absolute error 0.0784 Root mean squared error 0.1788 Relative absolute error 31.993 % Root relative squared error 51.0972 % Total Number of Instances 5791 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.853 0.035 0.803 0.853 0.827 0.983 chest 0.793 0.025 0.842 0.793 0.816 0.979 forearm 0.895 0.027 0.847 0.895 0.87 0.989 head 0.914 0.013 0.922 0.914 0.918 0.995 shin 0.835 0.029 0.828 0.835 0.831 0.979 thigh 0.868 0.023 0.862 0.868 0.865 0.987 upperarm 0.802 0.022 0.86 0.802 0.83 0.984 waist Weighted Avg. 0.851 0.025 0.852 0.851 0.851 0.985 === Confusion Matrix === a b c d e f g <-- classified as 706 12 5 4 34 42 25 | a = chest 22 654 64 12 17 14 42 | b = forearm 7 35 742 5 16 7 17 | c = head 4 13 7 756 26 10 11 | d = shin 42 9 17 24 691 37 8 | e = thigh 39 13 11 4 37 717 5 | f = upperarm 59 41 30 15 14 5 664 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4947 85.4257 % Incorrectly Classified Instances 844 14.5743 % Kappa statistic 0.83 Mean absolute error 0.0785 Root mean squared error 0.1787 Relative absolute error 32.0391 % Root relative squared error 51.0642 % Total Number of Instances 5791 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.883 0.036 0.803 0.883 0.841 0.985 chest 0.815 0.029 0.822 0.815 0.818 0.976 forearm 0.895 0.02 0.881 0.895 0.888 0.99 head 0.907 0.013 0.923 0.907 0.915 0.995 shin 0.827 0.025 0.845 0.827 0.836 0.979 thigh 0.826 0.022 0.864 0.826 0.845 0.984 upperarm 0.827 0.025 0.848 0.827 0.837 0.985 waist Weighted Avg. 0.854 0.024 0.855 0.854 0.854 0.985 === Confusion Matrix === a b c d e f g <-- classified as 731 12 6 0 16 39 24 | a = chest 22 672 46 10 16 17 42 | b = forearm 3 39 742 0 16 8 21 | c = head 14 13 5 750 30 7 8 | d = shin 43 8 17 26 685 33 16 | e = thigh 53 26 1 13 39 682 12 | f = upperarm 44 48 25 14 9 3 685 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4913 84.8385 % Incorrectly Classified Instances 878 15.1615 % Kappa statistic 0.8231 Mean absolute error 0.0783 Root mean squared error 0.1796 Relative absolute error 31.9575 % Root relative squared error 51.3344 % Total Number of Instances 5791 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.876 0.036 0.802 0.876 0.837 0.986 chest 0.796 0.03 0.815 0.796 0.806 0.977 forearm 0.876 0.019 0.883 0.876 0.879 0.99 head 0.906 0.014 0.916 0.906 0.911 0.993 shin 0.847 0.027 0.839 0.847 0.843 0.983 thigh 0.791 0.023 0.851 0.791 0.82 0.982 upperarm 0.848 0.027 0.838 0.848 0.843 0.984 waist Weighted Avg. 0.848 0.025 0.849 0.848 0.848 0.985 === Confusion Matrix === a b c d e f g <-- classified as 725 8 4 7 18 43 23 | a = chest 25 657 58 9 11 14 51 | b = forearm 8 45 726 5 11 4 30 | c = head 12 16 0 749 30 11 9 | d = shin 37 16 11 20 701 33 10 | e = thigh 56 27 4 15 58 653 13 | f = upperarm 41 37 19 13 7 9 702 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4956 85.5811 % Incorrectly Classified Instances 835 14.4189 % Kappa statistic 0.8318 Mean absolute error 0.0783 Root mean squared error 0.1785 Relative absolute error 31.9527 % Root relative squared error 50.9976 % Total Number of Instances 5791 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.903 0.035 0.811 0.903 0.855 0.989 chest 0.817 0.026 0.838 0.817 0.827 0.977 forearm 0.883 0.02 0.881 0.883 0.882 0.99 head 0.902 0.014 0.913 0.902 0.908 0.991 shin 0.844 0.028 0.835 0.844 0.84 0.983 thigh 0.81 0.021 0.866 0.81 0.837 0.983 upperarm 0.831 0.024 0.853 0.831 0.842 0.983 waist Weighted Avg. 0.856 0.024 0.857 0.856 0.856 0.985 === Confusion Matrix === a b c d e f g <-- classified as 747 11 1 3 21 26 18 | a = chest 17 673 51 19 15 8 41 | b = forearm 5 45 732 3 12 7 25 | c = head 7 12 4 747 32 13 13 | d = shin 37 6 19 15 699 42 10 | e = thigh 56 23 3 16 47 670 12 | f = upperarm 52 33 21 15 11 8 688 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4931 85.1494 % Incorrectly Classified Instances 860 14.8506 % Kappa statistic 0.8267 Mean absolute error 0.0794 Root mean squared error 0.1799 Relative absolute error 32.4108 % Root relative squared error 51.4241 % Total Number of Instances 5791 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.868 0.029 0.832 0.868 0.85 0.986 chest 0.785 0.032 0.804 0.785 0.794 0.974 forearm 0.864 0.02 0.876 0.864 0.87 0.989 head 0.923 0.012 0.925 0.923 0.924 0.995 shin 0.84 0.031 0.817 0.84 0.828 0.979 thigh 0.837 0.023 0.859 0.837 0.848 0.983 upperarm 0.843 0.025 0.849 0.843 0.846 0.986 waist Weighted Avg. 0.851 0.025 0.852 0.851 0.851 0.985 === Confusion Matrix === a b c d e f g <-- classified as 719 18 4 3 26 33 25 | a = chest 21 647 50 15 18 20 53 | b = forearm 4 47 716 2 28 8 24 | c = head 5 9 5 764 28 7 10 | d = shin 33 17 17 23 695 35 7 | e = thigh 46 28 7 8 41 692 5 | f = upperarm 36 39 18 11 15 11 698 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 2 FOLD: 0 Correctly Classified Instances 4949 85.4454 % Incorrectly Classified Instances 843 14.5546 % Kappa statistic 0.8302 Mean absolute error 0.0782 Root mean squared error 0.1787 Relative absolute error 31.9387 % Root relative squared error 51.073 % Total Number of Instances 5792 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.857 0.03 0.827 0.857 0.842 0.985 chest 0.795 0.026 0.836 0.795 0.815 0.979 forearm 0.881 0.023 0.865 0.881 0.873 0.988 head 0.912 0.011 0.932 0.912 0.922 0.995 shin 0.857 0.031 0.822 0.857 0.839 0.983 thigh 0.837 0.023 0.86 0.837 0.848 0.982 upperarm 0.842 0.026 0.843 0.842 0.842 0.984 waist Weighted Avg. 0.854 0.024 0.855 0.854 0.854 0.985 === Confusion Matrix === a b c d e f g <-- classified as 709 11 2 7 30 46 22 | a = chest 14 656 57 12 17 18 51 | b = forearm 7 32 730 2 23 7 28 | c = head 10 14 4 755 31 7 7 | d = shin 36 7 22 17 710 26 10 | e = thigh 41 24 5 10 43 692 12 | f = upperarm 40 41 24 7 10 9 697 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4937 85.2383 % Incorrectly Classified Instances 855 14.7617 % Kappa statistic 0.8278 Mean absolute error 0.078 Root mean squared error 0.1781 Relative absolute error 31.8475 % Root relative squared error 50.9097 % Total Number of Instances 5792 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.88 0.035 0.806 0.88 0.841 0.985 chest 0.793 0.03 0.812 0.793 0.802 0.977 forearm 0.908 0.021 0.879 0.908 0.893 0.992 head 0.926 0.012 0.925 0.926 0.926 0.995 shin 0.83 0.025 0.845 0.83 0.837 0.982 thigh 0.815 0.022 0.859 0.815 0.836 0.981 upperarm 0.814 0.025 0.844 0.814 0.829 0.982 waist Weighted Avg. 0.852 0.025 0.853 0.852 0.852 0.985 === Confusion Matrix === a b c d e f g <-- classified as 729 9 4 5 23 32 26 | a = chest 17 654 56 17 14 16 51 | b = forearm 5 42 753 2 8 3 16 | c = head 7 10 4 767 21 8 11 | d = shin 43 10 17 21 686 41 9 | e = thigh 55 25 5 6 50 674 12 | f = upperarm 49 55 18 11 10 11 674 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4938 85.2555 % Incorrectly Classified Instances 854 14.7445 % Kappa statistic 0.828 Mean absolute error 0.0786 Root mean squared error 0.1801 Relative absolute error 32.1146 % Root relative squared error 51.4581 % Total Number of Instances 5792 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.862 0.032 0.817 0.862 0.839 0.985 chest 0.821 0.028 0.831 0.821 0.826 0.98 forearm 0.877 0.025 0.855 0.877 0.866 0.988 head 0.913 0.012 0.929 0.913 0.921 0.993 shin 0.823 0.027 0.835 0.823 0.829 0.98 thigh 0.83 0.026 0.843 0.83 0.836 0.983 upperarm 0.842 0.023 0.862 0.842 0.852 0.984 waist Weighted Avg. 0.853 0.025 0.853 0.853 0.853 0.985 === Confusion Matrix === a b c d e f g <-- classified as 714 16 6 2 15 49 26 | a = chest 20 677 57 9 11 12 39 | b = forearm 9 33 727 0 27 8 25 | c = head 5 10 3 756 33 13 8 | d = shin 34 19 18 26 681 40 9 | e = thigh 47 25 10 12 42 686 5 | f = upperarm 45 35 29 9 7 6 697 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4943 85.3419 % Incorrectly Classified Instances 849 14.6581 % Kappa statistic 0.829 Mean absolute error 0.079 Root mean squared error 0.1794 Relative absolute error 32.2761 % Root relative squared error 51.262 % Total Number of Instances 5792 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.878 0.035 0.809 0.878 0.842 0.985 chest 0.796 0.027 0.83 0.796 0.813 0.978 forearm 0.876 0.02 0.882 0.876 0.879 0.988 head 0.906 0.013 0.921 0.906 0.914 0.993 shin 0.84 0.031 0.82 0.84 0.83 0.98 thigh 0.844 0.022 0.866 0.844 0.855 0.987 upperarm 0.833 0.024 0.852 0.833 0.842 0.982 waist Weighted Avg. 0.853 0.024 0.854 0.853 0.853 0.985 === Confusion Matrix === a b c d e f g <-- classified as 727 11 4 6 22 30 28 | a = chest 16 657 59 13 17 15 48 | b = forearm 10 44 726 5 11 12 21 | c = head 7 6 6 750 43 10 6 | d = shin 40 15 14 22 695 36 5 | e = thigh 44 21 0 6 46 698 12 | f = upperarm 55 38 14 12 14 5 690 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4929 85.1001 % Incorrectly Classified Instances 863 14.8999 % Kappa statistic 0.8262 Mean absolute error 0.0799 Root mean squared error 0.1815 Relative absolute error 32.6195 % Root relative squared error 51.872 % Total Number of Instances 5792 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.874 0.036 0.8 0.874 0.836 0.985 chest 0.811 0.025 0.843 0.811 0.826 0.974 forearm 0.877 0.022 0.872 0.877 0.874 0.989 head 0.908 0.015 0.913 0.908 0.91 0.992 shin 0.845 0.031 0.819 0.845 0.832 0.979 thigh 0.819 0.022 0.86 0.819 0.839 0.982 upperarm 0.822 0.023 0.857 0.822 0.839 0.983 waist Weighted Avg. 0.851 0.025 0.852 0.851 0.851 0.983 === Confusion Matrix === a b c d e f g <-- classified as 724 11 4 1 28 38 22 | a = chest 31 669 46 13 16 13 37 | b = forearm 7 41 727 2 17 7 28 | c = head 16 9 5 752 28 7 11 | d = shin 24 7 20 28 699 41 8 | e = thigh 57 18 6 10 51 677 8 | f = upperarm 46 39 26 18 14 4 681 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4914 84.8558 % Incorrectly Classified Instances 877 15.1442 % Kappa statistic 0.8233 Mean absolute error 0.0785 Root mean squared error 0.1795 Relative absolute error 32.0679 % Root relative squared error 51.3105 % Total Number of Instances 5791 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.851 0.032 0.815 0.851 0.833 0.985 chest 0.811 0.028 0.827 0.811 0.819 0.979 forearm 0.879 0.025 0.857 0.879 0.868 0.989 head 0.913 0.011 0.934 0.913 0.924 0.996 shin 0.836 0.031 0.82 0.836 0.828 0.978 thigh 0.819 0.024 0.852 0.819 0.835 0.98 upperarm 0.831 0.027 0.839 0.831 0.835 0.984 waist Weighted Avg. 0.849 0.025 0.849 0.849 0.849 0.984 === Confusion Matrix === a b c d e f g <-- classified as 705 15 7 1 30 38 32 | a = chest 15 668 55 9 15 15 47 | b = forearm 5 46 729 0 13 10 26 | c = head 5 11 4 756 35 8 9 | d = shin 38 10 21 18 691 45 4 | e = thigh 56 18 7 10 45 677 14 | f = upperarm 41 40 28 15 14 2 688 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4933 85.1839 % Incorrectly Classified Instances 858 14.8161 % Kappa statistic 0.8271 Mean absolute error 0.0793 Root mean squared error 0.1801 Relative absolute error 32.3967 % Root relative squared error 51.4681 % Total Number of Instances 5791 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.891 0.034 0.815 0.891 0.851 0.987 chest 0.795 0.027 0.829 0.795 0.812 0.974 forearm 0.872 0.026 0.848 0.872 0.86 0.987 head 0.923 0.012 0.928 0.923 0.925 0.996 shin 0.845 0.028 0.836 0.845 0.841 0.981 thigh 0.813 0.022 0.859 0.813 0.835 0.983 upperarm 0.824 0.024 0.851 0.824 0.837 0.984 waist Weighted Avg. 0.852 0.025 0.852 0.852 0.852 0.985 === Confusion Matrix === a b c d e f g <-- classified as 738 8 5 3 19 33 22 | a = chest 22 655 60 9 15 18 45 | b = forearm 10 41 723 4 18 7 26 | c = head 6 9 4 764 29 8 8 | d = shin 34 10 22 15 699 35 12 | e = thigh 56 23 10 10 50 672 6 | f = upperarm 40 44 29 18 6 9 682 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4959 85.6329 % Incorrectly Classified Instances 832 14.3671 % Kappa statistic 0.8324 Mean absolute error 0.0782 Root mean squared error 0.1785 Relative absolute error 31.9406 % Root relative squared error 51.0019 % Total Number of Instances 5791 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.874 0.031 0.826 0.874 0.849 0.987 chest 0.798 0.028 0.827 0.798 0.812 0.977 forearm 0.897 0.02 0.884 0.897 0.89 0.993 head 0.92 0.012 0.929 0.92 0.925 0.995 shin 0.847 0.028 0.835 0.847 0.841 0.981 thigh 0.824 0.023 0.856 0.824 0.84 0.983 upperarm 0.833 0.026 0.84 0.833 0.837 0.982 waist Weighted Avg. 0.856 0.024 0.857 0.856 0.856 0.985 === Confusion Matrix === a b c d e f g <-- classified as 724 15 4 3 21 38 23 | a = chest 26 658 44 4 9 19 65 | b = forearm 5 36 744 3 14 7 20 | c = head 5 10 4 761 21 14 12 | d = shin 35 12 19 25 701 33 3 | e = thigh 46 23 3 9 56 681 8 | f = upperarm 36 42 24 14 18 4 690 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4929 85.1148 % Incorrectly Classified Instances 862 14.8852 % Kappa statistic 0.8263 Mean absolute error 0.0785 Root mean squared error 0.18 Relative absolute error 32.043 % Root relative squared error 51.4376 % Total Number of Instances 5791 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.872 0.033 0.814 0.872 0.842 0.984 chest 0.81 0.032 0.81 0.81 0.81 0.974 forearm 0.869 0.023 0.862 0.869 0.865 0.987 head 0.918 0.014 0.918 0.918 0.918 0.995 shin 0.856 0.028 0.838 0.856 0.847 0.983 thigh 0.82 0.02 0.87 0.82 0.844 0.981 upperarm 0.814 0.024 0.85 0.814 0.832 0.985 waist Weighted Avg. 0.851 0.025 0.852 0.851 0.851 0.984 === Confusion Matrix === a b c d e f g <-- classified as 722 10 7 3 19 39 28 | a = chest 14 668 57 13 13 18 42 | b = forearm 5 51 720 0 22 10 21 | c = head 4 19 4 759 27 5 9 | d = shin 33 9 14 23 709 26 14 | e = thigh 56 22 11 19 36 677 5 | f = upperarm 53 46 22 10 20 3 674 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4897 84.5623 % Incorrectly Classified Instances 894 15.4377 % Kappa statistic 0.8199 Mean absolute error 0.0797 Root mean squared error 0.1821 Relative absolute error 32.5535 % Root relative squared error 52.0415 % Total Number of Instances 5791 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.895 0.034 0.813 0.895 0.852 0.986 chest 0.764 0.03 0.81 0.764 0.786 0.972 forearm 0.889 0.024 0.862 0.889 0.875 0.989 head 0.906 0.015 0.911 0.906 0.908 0.994 shin 0.835 0.029 0.829 0.835 0.832 0.979 thigh 0.811 0.024 0.85 0.811 0.83 0.981 upperarm 0.82 0.025 0.846 0.82 0.833 0.984 waist Weighted Avg. 0.846 0.026 0.846 0.846 0.845 0.984 === Confusion Matrix === a b c d e f g <-- classified as 741 16 4 2 23 28 14 | a = chest 28 630 56 14 15 20 62 | b = forearm 2 41 737 2 16 16 15 | c = head 10 12 3 749 30 7 16 | d = shin 34 14 13 29 691 39 8 | e = thigh 57 23 7 13 47 670 9 | f = upperarm 39 42 35 13 12 8 679 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 3 FOLD: 0 Correctly Classified Instances 4905 84.6858 % Incorrectly Classified Instances 887 15.3142 % Kappa statistic 0.8213 Mean absolute error 0.0809 Root mean squared error 0.1819 Relative absolute error 33.025 % Root relative squared error 51.9766 % Total Number of Instances 5792 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.865 0.033 0.812 0.865 0.837 0.985 chest 0.802 0.031 0.811 0.802 0.807 0.976 forearm 0.883 0.022 0.871 0.883 0.877 0.989 head 0.912 0.013 0.92 0.912 0.916 0.994 shin 0.844 0.029 0.83 0.844 0.837 0.982 thigh 0.805 0.027 0.834 0.805 0.819 0.982 upperarm 0.816 0.024 0.852 0.816 0.834 0.982 waist Weighted Avg. 0.847 0.026 0.847 0.847 0.847 0.984 === Confusion Matrix === a b c d e f g <-- classified as 716 15 2 11 23 32 29 | a = chest 18 662 57 12 12 23 41 | b = forearm 7 43 732 0 15 12 20 | c = head 8 12 4 754 29 13 7 | d = shin 32 8 15 21 699 44 9 | e = thigh 53 27 8 5 57 666 11 | f = upperarm 48 49 22 17 7 9 676 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4965 85.7217 % Incorrectly Classified Instances 827 14.2783 % Kappa statistic 0.8334 Mean absolute error 0.0795 Root mean squared error 0.1792 Relative absolute error 32.4459 % Root relative squared error 51.203 % Total Number of Instances 5792 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.882 0.031 0.824 0.882 0.852 0.986 chest 0.812 0.026 0.84 0.812 0.826 0.978 forearm 0.884 0.023 0.864 0.884 0.874 0.99 head 0.905 0.013 0.922 0.905 0.913 0.994 shin 0.842 0.027 0.841 0.842 0.841 0.982 thigh 0.828 0.019 0.878 0.828 0.853 0.983 upperarm 0.848 0.028 0.836 0.848 0.842 0.984 waist Weighted Avg. 0.857 0.024 0.858 0.857 0.857 0.985 === Confusion Matrix === a b c d e f g <-- classified as 730 15 3 1 16 35 28 | a = chest 17 670 58 13 12 13 42 | b = forearm 11 42 733 1 16 6 20 | c = head 7 12 3 749 34 6 17 | d = shin 32 11 18 25 696 30 15 | e = thigh 43 16 8 14 45 685 16 | f = upperarm 46 32 25 9 9 5 702 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4903 84.6512 % Incorrectly Classified Instances 889 15.3488 % Kappa statistic 0.8209 Mean absolute error 0.0782 Root mean squared error 0.1793 Relative absolute error 31.9125 % Root relative squared error 51.2367 % Total Number of Instances 5792 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.864 0.033 0.813 0.864 0.837 0.983 chest 0.778 0.029 0.819 0.778 0.798 0.977 forearm 0.879 0.023 0.866 0.879 0.873 0.99 head 0.903 0.012 0.926 0.903 0.914 0.995 shin 0.845 0.031 0.821 0.845 0.833 0.982 thigh 0.827 0.024 0.851 0.827 0.839 0.985 upperarm 0.829 0.028 0.834 0.829 0.831 0.983 waist Weighted Avg. 0.847 0.026 0.847 0.847 0.846 0.985 === Confusion Matrix === a b c d e f g <-- classified as 715 17 3 3 18 44 28 | a = chest 26 642 53 13 20 17 54 | b = forearm 4 36 729 4 20 6 30 | c = head 10 14 2 748 30 12 12 | d = shin 32 12 31 13 699 37 3 | e = thigh 49 24 2 12 46 684 10 | f = upperarm 44 39 22 15 18 4 686 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4906 84.703 % Incorrectly Classified Instances 886 15.297 % Kappa statistic 0.8215 Mean absolute error 0.0795 Root mean squared error 0.182 Relative absolute error 32.4493 % Root relative squared error 52.0082 % Total Number of Instances 5792 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.865 0.03 0.829 0.865 0.846 0.983 chest 0.788 0.027 0.829 0.788 0.808 0.974 forearm 0.895 0.026 0.854 0.895 0.874 0.988 head 0.909 0.014 0.917 0.909 0.913 0.995 shin 0.831 0.032 0.81 0.831 0.82 0.977 thigh 0.816 0.026 0.841 0.816 0.828 0.981 upperarm 0.825 0.024 0.851 0.825 0.838 0.982 waist Weighted Avg. 0.847 0.025 0.847 0.847 0.847 0.983 === Confusion Matrix === a b c d e f g <-- classified as 716 9 4 4 31 40 24 | a = chest 22 650 67 11 18 15 42 | b = forearm 6 31 742 1 17 8 24 | c = head 5 17 8 753 26 10 9 | d = shin 28 12 16 24 687 48 12 | e = thigh 45 18 5 19 56 675 9 | f = upperarm 42 47 27 9 13 7 683 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4955 85.549 % Incorrectly Classified Instances 837 14.451 % Kappa statistic 0.8314 Mean absolute error 0.0776 Root mean squared error 0.1779 Relative absolute error 31.6966 % Root relative squared error 50.8309 % Total Number of Instances 5792 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.874 0.035 0.807 0.874 0.839 0.986 chest 0.785 0.025 0.837 0.785 0.811 0.975 forearm 0.879 0.019 0.885 0.879 0.882 0.989 head 0.937 0.013 0.922 0.937 0.929 0.995 shin 0.856 0.029 0.83 0.856 0.843 0.984 thigh 0.805 0.022 0.862 0.805 0.833 0.982 upperarm 0.85 0.025 0.849 0.85 0.85 0.983 waist Weighted Avg. 0.855 0.024 0.856 0.855 0.855 0.985 === Confusion Matrix === a b c d e f g <-- classified as 724 11 6 3 29 37 18 | a = chest 29 648 47 12 11 25 53 | b = forearm 6 43 729 3 13 9 26 | c = head 5 6 6 776 22 2 11 | d = shin 45 5 12 23 708 26 8 | e = thigh 51 33 6 15 47 666 9 | f = upperarm 37 28 18 10 23 8 704 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4915 84.8731 % Incorrectly Classified Instances 876 15.1269 % Kappa statistic 0.8235 Mean absolute error 0.0779 Root mean squared error 0.1793 Relative absolute error 31.829 % Root relative squared error 51.2416 % Total Number of Instances 5791 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.88 0.032 0.819 0.88 0.849 0.988 chest 0.818 0.03 0.821 0.818 0.819 0.979 forearm 0.877 0.023 0.867 0.877 0.872 0.988 head 0.9 0.014 0.915 0.9 0.907 0.992 shin 0.832 0.027 0.836 0.832 0.834 0.981 thigh 0.826 0.025 0.845 0.826 0.835 0.982 upperarm 0.808 0.026 0.84 0.808 0.824 0.982 waist Weighted Avg. 0.849 0.025 0.849 0.849 0.849 0.985 === Confusion Matrix === a b c d e f g <-- classified as 729 8 3 4 17 44 23 | a = chest 18 674 56 8 8 15 45 | b = forearm 4 41 727 5 21 7 24 | c = head 14 10 6 745 31 10 12 | d = shin 35 10 19 21 688 41 13 | e = thigh 45 30 8 10 41 683 10 | f = upperarm 45 48 20 21 17 8 669 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4878 84.2342 % Incorrectly Classified Instances 913 15.7658 % Kappa statistic 0.8161 Mean absolute error 0.0813 Root mean squared error 0.1836 Relative absolute error 33.1856 % Root relative squared error 52.4541 % Total Number of Instances 5791 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.867 0.035 0.806 0.867 0.835 0.985 chest 0.794 0.027 0.828 0.794 0.81 0.976 forearm 0.867 0.028 0.838 0.867 0.852 0.988 head 0.913 0.012 0.924 0.913 0.919 0.994 shin 0.826 0.03 0.822 0.826 0.824 0.978 thigh 0.814 0.027 0.835 0.814 0.824 0.979 upperarm 0.815 0.025 0.847 0.815 0.831 0.981 waist Weighted Avg. 0.842 0.026 0.843 0.842 0.842 0.983 === Confusion Matrix === a b c d e f g <-- classified as 718 17 7 4 21 40 21 | a = chest 25 654 61 9 11 22 42 | b = forearm 3 36 719 7 16 13 35 | c = head 8 6 5 756 39 4 10 | d = shin 31 14 24 18 683 49 8 | e = thigh 63 22 6 10 47 673 6 | f = upperarm 43 41 36 14 14 5 675 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4956 85.5811 % Incorrectly Classified Instances 835 14.4189 % Kappa statistic 0.8318 Mean absolute error 0.0779 Root mean squared error 0.1774 Relative absolute error 31.8199 % Root relative squared error 50.6826 % Total Number of Instances 5791 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.879 0.036 0.803 0.879 0.839 0.986 chest 0.808 0.03 0.819 0.808 0.814 0.976 forearm 0.889 0.02 0.882 0.889 0.885 0.991 head 0.928 0.012 0.93 0.928 0.929 0.995 shin 0.849 0.025 0.848 0.849 0.849 0.984 thigh 0.818 0.021 0.864 0.818 0.841 0.983 upperarm 0.819 0.024 0.849 0.819 0.833 0.985 waist Weighted Avg. 0.856 0.024 0.856 0.856 0.856 0.986 === Confusion Matrix === a b c d e f g <-- classified as 727 8 4 5 27 40 16 | a = chest 28 667 44 9 10 13 54 | b = forearm 3 45 737 1 11 10 22 | c = head 3 9 5 768 29 6 8 | d = shin 34 8 17 27 703 29 10 | e = thigh 63 27 7 4 38 676 11 | f = upperarm 47 50 22 12 11 8 678 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4946 85.4084 % Incorrectly Classified Instances 845 14.5916 % Kappa statistic 0.8298 Mean absolute error 0.077 Root mean squared error 0.1772 Relative absolute error 31.4575 % Root relative squared error 50.6477 % Total Number of Instances 5791 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.866 0.034 0.808 0.866 0.836 0.987 chest 0.794 0.022 0.86 0.794 0.825 0.978 forearm 0.881 0.023 0.867 0.881 0.874 0.989 head 0.909 0.013 0.923 0.909 0.916 0.995 shin 0.847 0.031 0.821 0.847 0.834 0.98 thigh 0.839 0.021 0.867 0.839 0.853 0.985 upperarm 0.843 0.027 0.839 0.843 0.841 0.986 waist Weighted Avg. 0.854 0.024 0.855 0.854 0.854 0.986 === Confusion Matrix === a b c d e f g <-- classified as 717 12 6 2 18 44 29 | a = chest 24 655 54 18 19 9 46 | b = forearm 9 25 730 1 32 8 24 | c = head 6 8 4 752 30 12 15 | d = shin 36 14 13 27 701 30 7 | e = thigh 50 19 4 8 39 693 13 | f = upperarm 45 29 31 7 15 3 698 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4917 84.9076 % Incorrectly Classified Instances 874 15.0924 % Kappa statistic 0.8239 Mean absolute error 0.0785 Root mean squared error 0.1802 Relative absolute error 32.0452 % Root relative squared error 51.4891 % Total Number of Instances 5791 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.873 0.034 0.809 0.873 0.84 0.986 chest 0.795 0.028 0.824 0.795 0.809 0.977 forearm 0.902 0.023 0.87 0.902 0.886 0.99 head 0.919 0.014 0.917 0.919 0.918 0.996 shin 0.801 0.029 0.82 0.801 0.81 0.976 thigh 0.828 0.024 0.85 0.828 0.839 0.981 upperarm 0.825 0.023 0.856 0.825 0.84 0.986 waist Weighted Avg. 0.849 0.025 0.849 0.849 0.849 0.984 === Confusion Matrix === a b c d e f g <-- classified as 723 7 0 3 26 44 25 | a = chest 20 656 52 11 20 19 47 | b = forearm 4 41 748 2 13 7 14 | c = head 10 8 2 760 32 10 5 | d = shin 41 14 27 32 663 36 15 | e = thigh 46 25 5 10 47 684 9 | f = upperarm 50 45 26 11 8 5 683 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 4 FOLD: 0 Correctly Classified Instances 4933 85.1692 % Incorrectly Classified Instances 859 14.8308 % Kappa statistic 0.827 Mean absolute error 0.0793 Root mean squared error 0.1803 Relative absolute error 32.3968 % Root relative squared error 51.5364 % Total Number of Instances 5792 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.903 0.036 0.807 0.903 0.852 0.986 chest 0.801 0.026 0.835 0.801 0.818 0.979 forearm 0.885 0.028 0.843 0.885 0.864 0.988 head 0.908 0.011 0.93 0.908 0.919 0.994 shin 0.833 0.029 0.826 0.833 0.83 0.981 thigh 0.821 0.02 0.872 0.821 0.846 0.982 upperarm 0.809 0.022 0.859 0.809 0.833 0.98 waist Weighted Avg. 0.852 0.025 0.853 0.852 0.852 0.984 === Confusion Matrix === a b c d e f g <-- classified as 748 12 5 1 18 25 19 | a = chest 26 661 61 7 10 16 44 | b = forearm 6 42 734 4 17 5 21 | c = head 14 9 4 752 32 12 5 | d = shin 38 10 21 21 689 36 12 | e = thigh 50 19 6 11 53 679 9 | f = upperarm 45 39 40 13 15 6 670 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4918 84.9102 % Incorrectly Classified Instances 874 15.0898 % Kappa statistic 0.824 Mean absolute error 0.0805 Root mean squared error 0.182 Relative absolute error 32.859 % Root relative squared error 52.0017 % Total Number of Instances 5792 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.883 0.034 0.812 0.883 0.846 0.987 chest 0.788 0.03 0.811 0.788 0.8 0.974 forearm 0.877 0.022 0.871 0.877 0.874 0.989 head 0.901 0.014 0.913 0.901 0.907 0.994 shin 0.86 0.026 0.848 0.86 0.854 0.985 thigh 0.804 0.027 0.833 0.804 0.818 0.977 upperarm 0.831 0.023 0.858 0.831 0.844 0.983 waist Weighted Avg. 0.849 0.025 0.849 0.849 0.849 0.984 === Confusion Matrix === a b c d e f g <-- classified as 731 15 6 1 16 41 18 | a = chest 25 650 49 15 12 24 50 | b = forearm 3 46 727 2 13 12 26 | c = head 9 20 7 746 27 12 7 | d = shin 31 7 16 23 712 34 5 | e = thigh 63 26 8 13 44 664 8 | f = upperarm 38 37 22 17 16 10 688 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4929 85.1001 % Incorrectly Classified Instances 863 14.8999 % Kappa statistic 0.8262 Mean absolute error 0.0791 Root mean squared error 0.1794 Relative absolute error 32.292 % Root relative squared error 51.2794 % Total Number of Instances 5792 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.859 0.033 0.811 0.859 0.834 0.984 chest 0.784 0.027 0.829 0.784 0.806 0.977 forearm 0.879 0.024 0.858 0.879 0.868 0.99 head 0.912 0.012 0.924 0.912 0.918 0.995 shin 0.856 0.027 0.84 0.856 0.848 0.98 thigh 0.828 0.026 0.839 0.828 0.834 0.983 upperarm 0.838 0.023 0.858 0.838 0.848 0.985 waist Weighted Avg. 0.851 0.025 0.851 0.851 0.851 0.985 === Confusion Matrix === a b c d e f g <-- classified as 711 13 3 4 17 58 22 | a = chest 23 647 66 14 13 15 47 | b = forearm 5 45 729 0 18 11 21 | c = head 6 7 7 755 28 12 13 | d = shin 35 7 23 20 709 27 7 | e = thigh 56 22 3 14 42 684 5 | f = upperarm 41 39 19 10 17 8 694 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4930 85.1174 % Incorrectly Classified Instances 862 14.8826 % Kappa statistic 0.8264 Mean absolute error 0.0782 Root mean squared error 0.1786 Relative absolute error 31.9432 % Root relative squared error 51.0435 % Total Number of Instances 5792 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.876 0.035 0.806 0.876 0.839 0.985 chest 0.785 0.032 0.805 0.785 0.795 0.973 forearm 0.879 0.02 0.88 0.879 0.88 0.99 head 0.913 0.014 0.917 0.913 0.915 0.993 shin 0.839 0.025 0.85 0.839 0.844 0.984 thigh 0.824 0.022 0.861 0.824 0.842 0.983 upperarm 0.841 0.026 0.843 0.841 0.842 0.985 waist Weighted Avg. 0.851 0.025 0.852 0.851 0.851 0.985 === Confusion Matrix === a b c d e f g <-- classified as 725 16 6 4 21 32 24 | a = chest 22 648 45 16 13 28 53 | b = forearm 5 39 729 3 13 12 28 | c = head 11 18 3 756 27 5 8 | d = shin 40 9 19 23 695 30 12 | e = thigh 51 27 6 15 41 681 5 | f = upperarm 46 48 20 7 8 3 696 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4935 85.2037 % Incorrectly Classified Instances 857 14.7963 % Kappa statistic 0.8274 Mean absolute error 0.0784 Root mean squared error 0.179 Relative absolute error 32.0306 % Root relative squared error 51.1533 % Total Number of Instances 5792 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.89 0.038 0.794 0.89 0.839 0.986 chest 0.813 0.029 0.822 0.813 0.818 0.977 forearm 0.887 0.021 0.878 0.887 0.882 0.989 head 0.914 0.014 0.918 0.914 0.916 0.994 shin 0.839 0.029 0.83 0.839 0.835 0.982 thigh 0.814 0.021 0.868 0.814 0.84 0.981 upperarm 0.807 0.022 0.862 0.807 0.833 0.984 waist Weighted Avg. 0.852 0.025 0.853 0.852 0.852 0.985 === Confusion Matrix === a b c d e f g <-- classified as 736 8 3 2 20 40 18 | a = chest 28 671 47 12 17 11 39 | b = forearm 13 37 735 3 15 6 20 | c = head 4 17 2 757 31 7 10 | d = shin 40 14 16 25 695 29 9 | e = thigh 51 27 7 11 47 673 11 | f = upperarm 55 42 27 15 12 9 668 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4916 84.8903 % Incorrectly Classified Instances 875 15.1097 % Kappa statistic 0.8237 Mean absolute error 0.0785 Root mean squared error 0.1797 Relative absolute error 32.0442 % Root relative squared error 51.3452 % Total Number of Instances 5791 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.849 0.032 0.817 0.849 0.833 0.985 chest 0.794 0.024 0.847 0.794 0.82 0.98 forearm 0.885 0.024 0.863 0.885 0.874 0.988 head 0.919 0.014 0.917 0.919 0.918 0.995 shin 0.839 0.03 0.823 0.839 0.831 0.978 thigh 0.83 0.025 0.846 0.83 0.838 0.983 upperarm 0.826 0.028 0.83 0.826 0.828 0.982 waist Weighted Avg. 0.849 0.025 0.849 0.849 0.849 0.985 === Confusion Matrix === a b c d e f g <-- classified as 703 14 3 3 27 45 33 | a = chest 22 654 57 11 14 15 51 | b = forearm 5 28 734 3 18 13 28 | c = head 8 10 2 761 28 8 11 | d = shin 35 9 22 26 694 33 8 | e = thigh 46 19 4 12 51 686 9 | f = upperarm 41 38 29 14 11 11 684 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4897 84.5623 % Incorrectly Classified Instances 894 15.4377 % Kappa statistic 0.8199 Mean absolute error 0.0802 Root mean squared error 0.182 Relative absolute error 32.7342 % Root relative squared error 52.0138 % Total Number of Instances 5791 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.867 0.034 0.809 0.867 0.837 0.985 chest 0.782 0.029 0.815 0.782 0.798 0.975 forearm 0.884 0.021 0.874 0.884 0.879 0.99 head 0.923 0.012 0.926 0.923 0.924 0.995 shin 0.832 0.033 0.806 0.832 0.819 0.977 thigh 0.814 0.025 0.847 0.814 0.83 0.981 upperarm 0.818 0.025 0.846 0.818 0.832 0.983 waist Weighted Avg. 0.846 0.026 0.846 0.846 0.846 0.984 === Confusion Matrix === a b c d e f g <-- classified as 718 16 2 2 31 37 22 | a = chest 27 644 60 9 16 17 51 | b = forearm 1 39 733 4 26 6 20 | c = head 4 6 3 764 29 10 12 | d = shin 35 12 15 23 688 48 6 | e = thigh 53 23 6 12 48 673 12 | f = upperarm 50 50 20 11 16 4 677 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4937 85.253 % Incorrectly Classified Instances 854 14.747 % Kappa statistic 0.828 Mean absolute error 0.079 Root mean squared error 0.1797 Relative absolute error 32.2559 % Root relative squared error 51.3618 % Total Number of Instances 5791 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.871 0.032 0.819 0.871 0.844 0.983 chest 0.8 0.028 0.825 0.8 0.812 0.978 forearm 0.875 0.023 0.864 0.875 0.869 0.989 head 0.915 0.011 0.932 0.915 0.924 0.995 shin 0.856 0.031 0.82 0.856 0.838 0.982 thigh 0.823 0.02 0.871 0.823 0.846 0.985 upperarm 0.827 0.026 0.84 0.827 0.834 0.984 waist Weighted Avg. 0.853 0.025 0.853 0.853 0.853 0.985 === Confusion Matrix === a b c d e f g <-- classified as 721 13 2 4 26 31 31 | a = chest 21 660 57 6 16 18 47 | b = forearm 5 44 725 1 24 5 25 | c = head 6 11 4 757 31 7 11 | d = shin 32 11 16 17 708 34 9 | e = thigh 51 25 4 11 48 681 7 | f = upperarm 44 36 31 16 10 6 685 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4942 85.3393 % Incorrectly Classified Instances 849 14.6607 % Kappa statistic 0.829 Mean absolute error 0.0772 Root mean squared error 0.178 Relative absolute error 31.5179 % Root relative squared error 50.8644 % Total Number of Instances 5791 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.849 0.03 0.824 0.849 0.836 0.985 chest 0.802 0.028 0.828 0.802 0.815 0.977 forearm 0.893 0.021 0.879 0.893 0.886 0.991 head 0.909 0.014 0.914 0.909 0.912 0.994 shin 0.839 0.03 0.823 0.839 0.831 0.982 thigh 0.83 0.024 0.853 0.83 0.841 0.981 upperarm 0.851 0.024 0.854 0.851 0.852 0.986 waist Weighted Avg. 0.853 0.024 0.853 0.853 0.853 0.985 === Confusion Matrix === a b c d e f g <-- classified as 703 10 6 5 27 45 32 | a = chest 20 662 47 20 14 15 47 | b = forearm 7 39 740 1 13 8 21 | c = head 8 9 6 752 36 7 9 | d = shin 34 11 20 24 694 38 6 | e = thigh 49 27 4 5 50 686 6 | f = upperarm 32 42 19 16 9 5 705 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4963 85.702 % Incorrectly Classified Instances 828 14.298 % Kappa statistic 0.8332 Mean absolute error 0.0779 Root mean squared error 0.1781 Relative absolute error 31.7992 % Root relative squared error 50.8884 % Total Number of Instances 5791 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.889 0.032 0.824 0.889 0.855 0.987 chest 0.806 0.027 0.833 0.806 0.819 0.977 forearm 0.879 0.024 0.859 0.879 0.869 0.988 head 0.94 0.012 0.926 0.94 0.933 0.996 shin 0.837 0.023 0.857 0.837 0.847 0.98 thigh 0.834 0.023 0.856 0.834 0.845 0.983 upperarm 0.814 0.025 0.844 0.814 0.829 0.984 waist Weighted Avg. 0.857 0.024 0.857 0.857 0.857 0.985 === Confusion Matrix === a b c d e f g <-- classified as 736 7 6 6 18 33 22 | a = chest 16 665 58 12 15 15 44 | b = forearm 4 40 729 2 12 14 28 | c = head 9 6 2 777 20 7 6 | d = shin 31 16 15 20 692 41 12 | e = thigh 48 20 7 7 42 690 13 | f = upperarm 49 44 32 15 8 6 674 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 5 FOLD: 0 Correctly Classified Instances 4946 85.3936 % Incorrectly Classified Instances 846 14.6064 % Kappa statistic 0.8296 Mean absolute error 0.0784 Root mean squared error 0.179 Relative absolute error 32.0217 % Root relative squared error 51.1561 % Total Number of Instances 5792 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.857 0.032 0.815 0.857 0.836 0.983 chest 0.789 0.027 0.827 0.789 0.808 0.978 forearm 0.895 0.025 0.859 0.895 0.877 0.989 head 0.93 0.012 0.928 0.93 0.929 0.996 shin 0.847 0.027 0.841 0.847 0.844 0.98 thigh 0.832 0.019 0.88 0.832 0.855 0.985 upperarm 0.827 0.028 0.83 0.827 0.829 0.982 waist Weighted Avg. 0.854 0.024 0.854 0.854 0.854 0.985 === Confusion Matrix === a b c d e f g <-- classified as 710 14 8 10 25 28 33 | a = chest 27 651 55 8 19 16 49 | b = forearm 3 29 742 0 17 13 25 | c = head 5 10 2 770 20 11 10 | d = shin 26 20 22 26 701 22 11 | e = thigh 49 22 5 10 41 687 12 | f = upperarm 51 41 30 6 11 4 685 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4958 85.6008 % Incorrectly Classified Instances 834 14.3992 % Kappa statistic 0.832 Mean absolute error 0.078 Root mean squared error 0.1781 Relative absolute error 31.8485 % Root relative squared error 50.9037 % Total Number of Instances 5792 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.866 0.032 0.819 0.866 0.842 0.987 chest 0.792 0.026 0.835 0.792 0.813 0.974 forearm 0.883 0.021 0.877 0.883 0.88 0.99 head 0.92 0.01 0.938 0.92 0.929 0.995 shin 0.838 0.031 0.816 0.838 0.827 0.98 thigh 0.844 0.022 0.864 0.844 0.854 0.985 upperarm 0.848 0.026 0.846 0.848 0.847 0.983 waist Weighted Avg. 0.856 0.024 0.857 0.856 0.856 0.985 === Confusion Matrix === a b c d e f g <-- classified as 717 7 4 5 30 45 20 | a = chest 30 653 53 7 17 16 48 | b = forearm 6 46 732 1 15 3 26 | c = head 6 11 5 762 32 5 7 | d = shin 33 12 16 16 694 38 19 | e = thigh 38 21 3 10 49 698 8 | f = upperarm 45 32 22 11 13 3 702 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4917 84.893 % Incorrectly Classified Instances 875 15.107 % Kappa statistic 0.8238 Mean absolute error 0.0793 Root mean squared error 0.1807 Relative absolute error 32.3762 % Root relative squared error 51.648 % Total Number of Instances 5792 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.867 0.03 0.826 0.867 0.846 0.985 chest 0.784 0.03 0.813 0.784 0.798 0.974 forearm 0.891 0.025 0.856 0.891 0.874 0.99 head 0.92 0.014 0.916 0.92 0.918 0.995 shin 0.808 0.026 0.836 0.808 0.822 0.98 thigh 0.827 0.026 0.841 0.827 0.834 0.983 upperarm 0.844 0.024 0.852 0.844 0.848 0.984 waist Weighted Avg. 0.849 0.025 0.849 0.849 0.849 0.984 === Confusion Matrix === a b c d e f g <-- classified as 718 17 3 0 17 49 24 | a = chest 26 646 57 14 14 17 50 | b = forearm 7 32 739 1 22 10 18 | c = head 15 8 2 762 22 9 10 | d = shin 31 17 29 29 669 42 11 | e = thigh 43 29 8 8 47 684 8 | f = upperarm 29 46 25 18 9 2 699 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4910 84.7721 % Incorrectly Classified Instances 882 15.2279 % Kappa statistic 0.8223 Mean absolute error 0.0793 Root mean squared error 0.181 Relative absolute error 32.3623 % Root relative squared error 51.7233 % Total Number of Instances 5792 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.875 0.034 0.81 0.875 0.841 0.987 chest 0.789 0.03 0.816 0.789 0.802 0.978 forearm 0.862 0.025 0.853 0.862 0.858 0.986 head 0.913 0.013 0.922 0.913 0.917 0.995 shin 0.85 0.029 0.828 0.85 0.839 0.98 thigh 0.794 0.022 0.855 0.794 0.824 0.981 upperarm 0.849 0.024 0.853 0.849 0.851 0.987 waist Weighted Avg. 0.848 0.025 0.848 0.848 0.848 0.985 === Confusion Matrix === a b c d e f g <-- classified as 724 12 5 3 34 33 16 | a = chest 21 651 60 13 10 18 52 | b = forearm 9 50 715 2 17 6 30 | c = head 9 11 3 756 29 10 10 | d = shin 30 8 24 19 704 40 3 | e = thigh 62 31 8 15 44 657 10 | f = upperarm 39 35 23 12 12 4 703 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4929 85.1001 % Incorrectly Classified Instances 863 14.8999 % Kappa statistic 0.8262 Mean absolute error 0.0796 Root mean squared error 0.1812 Relative absolute error 32.5202 % Root relative squared error 51.7902 % Total Number of Instances 5792 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.876 0.03 0.83 0.876 0.852 0.983 chest 0.805 0.032 0.807 0.805 0.806 0.977 forearm 0.881 0.023 0.863 0.881 0.872 0.988 head 0.901 0.014 0.915 0.901 0.908 0.991 shin 0.844 0.03 0.823 0.844 0.833 0.978 thigh 0.823 0.021 0.869 0.823 0.845 0.983 upperarm 0.827 0.024 0.853 0.827 0.84 0.983 waist Weighted Avg. 0.851 0.025 0.851 0.851 0.851 0.983 === Confusion Matrix === a b c d e f g <-- classified as 725 14 4 1 25 35 24 | a = chest 24 664 58 14 14 11 40 | b = forearm 3 42 730 5 18 7 24 | c = head 8 8 3 746 41 11 11 | d = shin 37 9 20 19 698 36 8 | e = thigh 39 33 10 13 40 681 11 | f = upperarm 37 53 21 17 12 3 685 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4954 85.5465 % Incorrectly Classified Instances 837 14.4535 % Kappa statistic 0.8314 Mean absolute error 0.0777 Root mean squared error 0.1779 Relative absolute error 31.7093 % Root relative squared error 50.8424 % Total Number of Instances 5791 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.883 0.031 0.827 0.883 0.854 0.986 chest 0.798 0.028 0.827 0.798 0.812 0.976 forearm 0.896 0.024 0.862 0.896 0.879 0.989 head 0.918 0.011 0.934 0.918 0.926 0.996 shin 0.838 0.026 0.845 0.838 0.842 0.981 thigh 0.844 0.023 0.859 0.844 0.851 0.985 upperarm 0.812 0.026 0.837 0.812 0.824 0.981 waist Weighted Avg. 0.855 0.024 0.856 0.855 0.855 0.985 === Confusion Matrix === a b c d e f g <-- classified as 731 13 6 4 20 29 25 | a = chest 19 658 56 11 13 15 53 | b = forearm 6 34 743 3 11 11 21 | c = head 7 11 5 759 29 7 9 | d = shin 33 12 17 21 693 42 9 | e = thigh 42 22 7 8 36 698 14 | f = upperarm 46 46 28 7 18 11 672 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4940 85.3048 % Incorrectly Classified Instances 851 14.6952 % Kappa statistic 0.8286 Mean absolute error 0.0781 Root mean squared error 0.179 Relative absolute error 31.8709 % Root relative squared error 51.1609 % Total Number of Instances 5791 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.885 0.037 0.798 0.885 0.84 0.986 chest 0.807 0.024 0.846 0.807 0.826 0.979 forearm 0.876 0.021 0.875 0.876 0.875 0.989 head 0.909 0.013 0.92 0.909 0.915 0.994 shin 0.851 0.028 0.833 0.851 0.842 0.981 thigh 0.823 0.023 0.854 0.823 0.839 0.983 upperarm 0.819 0.024 0.851 0.819 0.834 0.983 waist Weighted Avg. 0.853 0.024 0.854 0.853 0.853 0.985 === Confusion Matrix === a b c d e f g <-- classified as 733 7 4 3 25 37 19 | a = chest 21 666 54 11 9 17 47 | b = forearm 6 34 726 3 20 11 29 | c = head 10 12 1 752 29 13 10 | d = shin 41 10 16 21 704 30 5 | e = thigh 57 18 8 8 46 681 9 | f = upperarm 50 40 21 19 12 8 678 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4935 85.2184 % Incorrectly Classified Instances 856 14.7816 % Kappa statistic 0.8275 Mean absolute error 0.0797 Root mean squared error 0.1814 Relative absolute error 32.549 % Root relative squared error 51.8489 % Total Number of Instances 5791 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.872 0.035 0.804 0.872 0.837 0.985 chest 0.81 0.031 0.815 0.81 0.812 0.975 forearm 0.881 0.022 0.872 0.881 0.876 0.99 head 0.92 0.011 0.934 0.92 0.927 0.995 shin 0.822 0.027 0.836 0.822 0.829 0.979 thigh 0.83 0.024 0.854 0.83 0.842 0.978 upperarm 0.831 0.024 0.855 0.831 0.843 0.984 waist Weighted Avg. 0.852 0.025 0.853 0.852 0.852 0.984 === Confusion Matrix === a b c d e f g <-- classified as 722 12 3 1 22 44 24 | a = chest 19 668 51 11 14 12 50 | b = forearm 5 52 730 3 15 5 19 | c = head 3 13 6 761 34 4 6 | d = shin 48 11 17 18 680 43 10 | e = thigh 58 19 3 14 39 686 8 | f = upperarm 43 45 27 7 9 9 688 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4892 84.4759 % Incorrectly Classified Instances 899 15.5241 % Kappa statistic 0.8189 Mean absolute error 0.0794 Root mean squared error 0.1812 Relative absolute error 32.4062 % Root relative squared error 51.7897 % Total Number of Instances 5791 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.874 0.037 0.797 0.874 0.834 0.986 chest 0.79 0.027 0.827 0.79 0.808 0.976 forearm 0.87 0.022 0.868 0.87 0.869 0.989 head 0.909 0.017 0.901 0.909 0.905 0.994 shin 0.857 0.029 0.833 0.857 0.845 0.984 thigh 0.809 0.023 0.855 0.809 0.831 0.98 upperarm 0.803 0.026 0.835 0.803 0.819 0.979 waist Weighted Avg. 0.845 0.026 0.845 0.845 0.845 0.984 === Confusion Matrix === a b c d e f g <-- classified as 724 11 6 4 15 38 30 | a = chest 26 652 56 17 12 17 45 | b = forearm 8 44 721 1 21 10 24 | c = head 6 10 6 753 27 12 14 | d = shin 33 7 13 28 709 28 9 | e = thigh 61 23 8 15 42 668 9 | f = upperarm 50 41 21 18 25 8 665 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4916 84.8903 % Incorrectly Classified Instances 875 15.1097 % Kappa statistic 0.8237 Mean absolute error 0.0787 Root mean squared error 0.1796 Relative absolute error 32.1219 % Root relative squared error 51.3329 % Total Number of Instances 5791 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.865 0.035 0.804 0.865 0.834 0.985 chest 0.784 0.028 0.822 0.784 0.803 0.977 forearm 0.887 0.023 0.868 0.887 0.877 0.989 head 0.906 0.012 0.924 0.906 0.915 0.995 shin 0.856 0.029 0.831 0.856 0.843 0.983 thigh 0.82 0.027 0.837 0.82 0.828 0.983 upperarm 0.825 0.022 0.86 0.825 0.842 0.984 waist Weighted Avg. 0.849 0.025 0.849 0.849 0.849 0.985 === Confusion Matrix === a b c d e f g <-- classified as 716 13 4 5 17 46 27 | a = chest 18 647 57 16 15 24 48 | b = forearm 3 47 735 1 14 7 22 | c = head 10 18 3 750 32 10 5 | d = shin 33 9 14 19 708 40 4 | e = thigh 48 22 3 13 58 677 5 | f = upperarm 62 31 31 8 8 5 683 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 6 FOLD: 0 Correctly Classified Instances 4910 84.7721 % Incorrectly Classified Instances 882 15.2279 % Kappa statistic 0.8223 Mean absolute error 0.079 Root mean squared error 0.1806 Relative absolute error 32.2614 % Root relative squared error 51.6149 % Total Number of Instances 5792 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.857 0.035 0.801 0.857 0.828 0.983 chest 0.784 0.03 0.815 0.784 0.799 0.972 forearm 0.885 0.025 0.855 0.885 0.87 0.988 head 0.918 0.011 0.935 0.918 0.926 0.994 shin 0.834 0.028 0.83 0.834 0.832 0.981 thigh 0.81 0.024 0.847 0.81 0.828 0.984 upperarm 0.844 0.024 0.853 0.844 0.849 0.986 waist Weighted Avg. 0.848 0.025 0.848 0.848 0.848 0.984 === Confusion Matrix === a b c d e f g <-- classified as 710 20 2 3 24 46 23 | a = chest 23 647 60 14 14 22 45 | b = forearm 5 37 734 2 21 7 23 | c = head 6 17 2 760 23 11 9 | d = shin 46 13 22 17 690 30 9 | e = thigh 57 25 13 6 45 670 11 | f = upperarm 39 35 25 11 14 5 699 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4911 84.7894 % Incorrectly Classified Instances 881 15.2106 % Kappa statistic 0.8225 Mean absolute error 0.0789 Root mean squared error 0.1809 Relative absolute error 32.231 % Root relative squared error 51.7057 % Total Number of Instances 5792 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.868 0.036 0.802 0.868 0.834 0.982 chest 0.793 0.027 0.83 0.793 0.811 0.976 forearm 0.878 0.023 0.865 0.878 0.871 0.989 head 0.906 0.01 0.936 0.906 0.921 0.994 shin 0.842 0.03 0.822 0.842 0.832 0.977 thigh 0.814 0.025 0.845 0.814 0.829 0.98 upperarm 0.835 0.026 0.842 0.835 0.838 0.984 waist Weighted Avg. 0.848 0.025 0.849 0.848 0.848 0.983 === Confusion Matrix === a b c d e f g <-- classified as 719 12 4 3 16 41 33 | a = chest 25 654 51 10 17 18 50 | b = forearm 9 31 728 1 20 16 24 | c = head 10 13 7 750 33 10 5 | d = shin 40 13 20 15 697 34 9 | e = thigh 53 25 2 11 54 672 9 | f = upperarm 41 40 30 11 11 4 691 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4943 85.3419 % Incorrectly Classified Instances 849 14.6581 % Kappa statistic 0.829 Mean absolute error 0.0795 Root mean squared error 0.1795 Relative absolute error 32.4632 % Root relative squared error 51.3006 % Total Number of Instances 5792 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.874 0.032 0.82 0.874 0.846 0.986 chest 0.818 0.028 0.829 0.818 0.824 0.977 forearm 0.882 0.021 0.876 0.882 0.879 0.991 head 0.92 0.013 0.924 0.92 0.922 0.994 shin 0.827 0.03 0.82 0.827 0.824 0.979 thigh 0.828 0.024 0.851 0.828 0.839 0.983 upperarm 0.824 0.023 0.856 0.824 0.839 0.984 waist Weighted Avg. 0.853 0.024 0.854 0.853 0.853 0.985 === Confusion Matrix === a b c d e f g <-- classified as 724 15 5 3 21 40 20 | a = chest 25 675 42 10 18 14 41 | b = forearm 4 43 731 3 20 6 22 | c = head 9 13 2 762 25 8 9 | d = shin 39 6 19 25 685 42 12 | e = thigh 39 28 9 9 46 684 11 | f = upperarm 43 34 26 13 20 10 682 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4902 84.634 % Incorrectly Classified Instances 890 15.366 % Kappa statistic 0.8207 Mean absolute error 0.0791 Root mean squared error 0.1811 Relative absolute error 32.2912 % Root relative squared error 51.7649 % Total Number of Instances 5792 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.88 0.036 0.804 0.88 0.84 0.987 chest 0.783 0.03 0.814 0.783 0.798 0.975 forearm 0.883 0.026 0.852 0.883 0.867 0.989 head 0.925 0.015 0.91 0.925 0.917 0.995 shin 0.825 0.026 0.84 0.825 0.832 0.978 thigh 0.804 0.025 0.844 0.804 0.823 0.98 upperarm 0.824 0.022 0.863 0.824 0.843 0.984 waist Weighted Avg. 0.846 0.026 0.847 0.846 0.846 0.984 === Confusion Matrix === a b c d e f g <-- classified as 729 16 4 2 18 32 27 | a = chest 26 646 73 15 12 16 37 | b = forearm 3 39 732 2 14 14 25 | c = head 8 11 2 766 27 9 5 | d = shin 35 16 17 28 683 44 5 | e = thigh 66 27 4 10 46 664 9 | f = upperarm 40 39 27 19 13 8 682 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4930 85.1174 % Incorrectly Classified Instances 862 14.8826 % Kappa statistic 0.8264 Mean absolute error 0.0786 Root mean squared error 0.1795 Relative absolute error 32.1136 % Root relative squared error 51.2955 % Total Number of Instances 5792 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.873 0.031 0.824 0.873 0.848 0.986 chest 0.793 0.03 0.812 0.793 0.802 0.978 forearm 0.876 0.022 0.868 0.876 0.872 0.987 head 0.926 0.012 0.93 0.926 0.928 0.996 shin 0.857 0.026 0.846 0.857 0.852 0.986 thigh 0.807 0.024 0.848 0.807 0.827 0.98 upperarm 0.826 0.028 0.83 0.826 0.828 0.983 waist Weighted Avg. 0.851 0.025 0.851 0.851 0.851 0.985 === Confusion Matrix === a b c d e f g <-- classified as 723 8 3 7 23 42 22 | a = chest 20 654 48 12 18 16 57 | b = forearm 8 42 726 2 9 11 31 | c = head 6 10 0 766 22 8 15 | d = shin 30 13 16 19 710 35 5 | e = thigh 56 30 7 9 48 667 10 | f = upperarm 34 48 36 9 9 8 684 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4993 86.22 % Incorrectly Classified Instances 798 13.78 % Kappa statistic 0.8392 Mean absolute error 0.0768 Root mean squared error 0.176 Relative absolute error 31.3642 % Root relative squared error 50.3087 % Total Number of Instances 5791 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.873 0.034 0.812 0.873 0.842 0.987 chest 0.795 0.023 0.851 0.795 0.822 0.979 forearm 0.893 0.02 0.882 0.893 0.887 0.99 head 0.925 0.012 0.927 0.925 0.926 0.996 shin 0.839 0.027 0.837 0.839 0.838 0.981 thigh 0.846 0.022 0.867 0.846 0.857 0.984 upperarm 0.864 0.023 0.861 0.864 0.862 0.986 waist Weighted Avg. 0.862 0.023 0.863 0.862 0.862 0.986 === Confusion Matrix === a b c d e f g <-- classified as 723 12 3 4 24 44 18 | a = chest 23 656 54 14 14 13 51 | b = forearm 7 35 740 2 14 5 26 | c = head 5 5 3 765 36 6 7 | d = shin 31 10 20 26 694 34 12 | e = thigh 55 18 5 7 41 700 1 | f = upperarm 46 35 14 7 6 5 715 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4964 85.7192 % Incorrectly Classified Instances 827 14.2808 % Kappa statistic 0.8334 Mean absolute error 0.0774 Root mean squared error 0.1772 Relative absolute error 31.6209 % Root relative squared error 50.6459 % Total Number of Instances 5791 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.857 0.031 0.822 0.857 0.839 0.985 chest 0.804 0.028 0.825 0.804 0.814 0.977 forearm 0.9 0.02 0.885 0.9 0.892 0.991 head 0.907 0.011 0.934 0.907 0.92 0.994 shin 0.875 0.033 0.815 0.875 0.844 0.983 thigh 0.836 0.023 0.857 0.836 0.846 0.986 upperarm 0.821 0.021 0.868 0.821 0.844 0.984 waist Weighted Avg. 0.857 0.024 0.858 0.857 0.857 0.986 === Confusion Matrix === a b c d e f g <-- classified as 710 17 3 2 32 36 28 | a = chest 23 663 55 11 13 18 42 | b = forearm 5 34 746 2 19 12 11 | c = head 5 6 6 750 41 10 9 | d = shin 26 9 12 16 724 34 6 | e = thigh 45 26 6 7 45 691 7 | f = upperarm 50 49 15 15 14 5 680 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4902 84.6486 % Incorrectly Classified Instances 889 15.3514 % Kappa statistic 0.8209 Mean absolute error 0.0797 Root mean squared error 0.1816 Relative absolute error 32.5466 % Root relative squared error 51.8908 % Total Number of Instances 5791 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.867 0.03 0.829 0.867 0.848 0.987 chest 0.793 0.029 0.818 0.793 0.805 0.973 forearm 0.866 0.024 0.859 0.866 0.862 0.987 head 0.917 0.016 0.908 0.917 0.912 0.995 shin 0.837 0.03 0.821 0.837 0.829 0.98 thigh 0.822 0.024 0.849 0.822 0.835 0.982 upperarm 0.824 0.026 0.842 0.824 0.833 0.982 waist Weighted Avg. 0.846 0.026 0.846 0.846 0.846 0.984 === Confusion Matrix === a b c d e f g <-- classified as 717 9 4 3 27 41 26 | a = chest 22 654 59 12 13 17 48 | b = forearm 5 49 718 1 23 9 24 | c = head 5 15 4 759 24 9 12 | d = shin 27 7 21 37 692 36 7 | e = thigh 48 20 3 10 55 680 11 | f = upperarm 41 46 27 14 9 9 682 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4934 85.2012 % Incorrectly Classified Instances 857 14.7988 % Kappa statistic 0.8273 Mean absolute error 0.0789 Root mean squared error 0.1799 Relative absolute error 32.2289 % Root relative squared error 51.4226 % Total Number of Instances 5791 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.905 0.033 0.82 0.905 0.86 0.988 chest 0.8 0.027 0.832 0.8 0.816 0.979 forearm 0.876 0.023 0.862 0.876 0.869 0.989 head 0.909 0.014 0.917 0.909 0.913 0.995 shin 0.83 0.029 0.829 0.83 0.829 0.98 thigh 0.832 0.023 0.857 0.832 0.844 0.984 upperarm 0.813 0.024 0.85 0.813 0.831 0.981 waist Weighted Avg. 0.852 0.025 0.852 0.852 0.852 0.985 === Confusion Matrix === a b c d e f g <-- classified as 749 3 3 2 27 27 17 | a = chest 17 659 54 11 13 21 49 | b = forearm 9 36 726 4 14 13 27 | c = head 11 12 7 753 33 7 5 | d = shin 36 9 20 22 686 39 15 | e = thigh 48 27 3 12 43 688 6 | f = upperarm 43 46 29 17 12 8 673 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4907 84.7349 % Incorrectly Classified Instances 884 15.2651 % Kappa statistic 0.8219 Mean absolute error 0.0798 Root mean squared error 0.181 Relative absolute error 32.5837 % Root relative squared error 51.717 % Total Number of Instances 5791 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.867 0.033 0.816 0.867 0.841 0.985 chest 0.8 0.031 0.813 0.8 0.806 0.977 forearm 0.9 0.021 0.876 0.9 0.888 0.991 head 0.886 0.015 0.908 0.886 0.897 0.993 shin 0.832 0.027 0.836 0.832 0.834 0.981 thigh 0.822 0.021 0.867 0.822 0.844 0.983 upperarm 0.824 0.03 0.819 0.824 0.821 0.98 waist Weighted Avg. 0.847 0.025 0.848 0.847 0.847 0.984 === Confusion Matrix === a b c d e f g <-- classified as 718 22 6 4 14 38 26 | a = chest 20 659 56 10 14 11 54 | b = forearm 4 35 746 4 7 3 30 | c = head 11 13 6 734 36 14 14 | d = shin 34 16 17 26 688 34 12 | e = thigh 52 22 5 13 40 680 15 | f = upperarm 41 44 16 17 24 4 682 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 7 FOLD: 0 Correctly Classified Instances 4970 85.808 % Incorrectly Classified Instances 822 14.192 % Kappa statistic 0.8344 Mean absolute error 0.0776 Root mean squared error 0.1773 Relative absolute error 31.6672 % Root relative squared error 50.6652 % Total Number of Instances 5792 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.89 0.033 0.818 0.89 0.853 0.987 chest 0.799 0.028 0.824 0.799 0.811 0.978 forearm 0.901 0.022 0.874 0.901 0.887 0.991 head 0.918 0.012 0.929 0.918 0.923 0.994 shin 0.85 0.028 0.836 0.85 0.843 0.982 thigh 0.816 0.022 0.863 0.816 0.839 0.981 upperarm 0.832 0.021 0.867 0.832 0.849 0.984 waist Weighted Avg. 0.858 0.024 0.859 0.858 0.858 0.985 === Confusion Matrix === a b c d e f g <-- classified as 737 13 4 4 24 31 15 | a = chest 23 659 50 10 16 15 52 | b = forearm 6 29 747 3 20 6 18 | c = head 12 12 6 760 25 6 7 | d = shin 36 15 16 12 703 39 6 | e = thigh 47 33 6 15 43 675 8 | f = upperarm 40 39 26 14 10 10 689 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4888 84.3923 % Incorrectly Classified Instances 904 15.6077 % Kappa statistic 0.8179 Mean absolute error 0.0802 Root mean squared error 0.1833 Relative absolute error 32.735 % Root relative squared error 52.378 % Total Number of Instances 5792 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.88 0.036 0.803 0.88 0.84 0.983 chest 0.783 0.032 0.802 0.783 0.793 0.973 forearm 0.881 0.024 0.862 0.881 0.871 0.989 head 0.915 0.013 0.922 0.915 0.919 0.995 shin 0.835 0.027 0.836 0.835 0.835 0.978 thigh 0.8 0.026 0.839 0.8 0.819 0.98 upperarm 0.813 0.025 0.847 0.813 0.829 0.984 waist Weighted Avg. 0.844 0.026 0.844 0.844 0.844 0.983 === Confusion Matrix === a b c d e f g <-- classified as 728 18 1 2 20 34 24 | a = chest 21 646 59 10 14 26 49 | b = forearm 7 46 730 1 14 9 22 | c = head 9 11 7 758 24 12 7 | d = shin 39 7 20 22 691 40 9 | e = thigh 52 26 7 16 53 662 11 | f = upperarm 51 51 23 13 11 6 673 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4958 85.6008 % Incorrectly Classified Instances 834 14.3992 % Kappa statistic 0.832 Mean absolute error 0.0776 Root mean squared error 0.1774 Relative absolute error 31.7016 % Root relative squared error 50.6952 % Total Number of Instances 5792 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.862 0.033 0.813 0.862 0.837 0.985 chest 0.818 0.026 0.842 0.818 0.83 0.982 forearm 0.891 0.015 0.91 0.891 0.901 0.992 head 0.912 0.01 0.936 0.912 0.924 0.995 shin 0.859 0.034 0.808 0.859 0.833 0.981 thigh 0.814 0.023 0.854 0.814 0.833 0.982 upperarm 0.836 0.027 0.838 0.836 0.837 0.984 waist Weighted Avg. 0.856 0.024 0.857 0.856 0.856 0.986 === Confusion Matrix === a b c d e f g <-- classified as 714 9 5 5 25 38 32 | a = chest 17 675 35 15 15 13 55 | b = forearm 3 36 739 3 22 4 22 | c = head 7 9 3 755 37 9 8 | d = shin 29 18 5 12 711 43 10 | e = thigh 61 18 6 4 58 672 7 | f = upperarm 47 37 19 13 12 8 692 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4930 85.1174 % Incorrectly Classified Instances 862 14.8826 % Kappa statistic 0.8264 Mean absolute error 0.0789 Root mean squared error 0.1795 Relative absolute error 32.2324 % Root relative squared error 51.3105 % Total Number of Instances 5792 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.88 0.033 0.817 0.88 0.848 0.987 chest 0.789 0.028 0.824 0.789 0.806 0.975 forearm 0.877 0.025 0.852 0.877 0.864 0.989 head 0.911 0.011 0.931 0.911 0.921 0.995 shin 0.841 0.026 0.844 0.841 0.842 0.982 thigh 0.827 0.025 0.844 0.827 0.835 0.982 upperarm 0.833 0.025 0.849 0.833 0.841 0.984 waist Weighted Avg. 0.851 0.025 0.852 0.851 0.851 0.985 === Confusion Matrix === a b c d e f g <-- classified as 729 11 5 2 16 41 24 | a = chest 24 651 65 12 9 18 46 | b = forearm 2 49 727 1 14 9 27 | c = head 7 9 3 754 37 10 8 | d = shin 31 10 26 16 696 40 9 | e = thigh 55 25 3 10 41 683 9 | f = upperarm 44 35 24 15 12 8 690 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4925 85.0311 % Incorrectly Classified Instances 867 14.9689 % Kappa statistic 0.8254 Mean absolute error 0.0787 Root mean squared error 0.1792 Relative absolute error 32.126 % Root relative squared error 51.2025 % Total Number of Instances 5792 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.872 0.036 0.8 0.872 0.834 0.986 chest 0.801 0.029 0.822 0.801 0.812 0.979 forearm 0.884 0.024 0.858 0.884 0.871 0.989 head 0.905 0.013 0.92 0.905 0.912 0.993 shin 0.83 0.027 0.835 0.83 0.832 0.981 thigh 0.841 0.023 0.861 0.841 0.851 0.985 upperarm 0.819 0.022 0.861 0.819 0.84 0.984 waist Weighted Avg. 0.85 0.025 0.851 0.85 0.85 0.985 === Confusion Matrix === a b c d e f g <-- classified as 722 19 2 2 25 32 26 | a = chest 33 661 55 10 14 12 40 | b = forearm 9 43 733 2 15 12 15 | c = head 11 14 4 749 29 12 9 | d = shin 23 15 25 32 687 38 8 | e = thigh 50 13 6 10 41 695 11 | f = upperarm 55 39 29 9 12 6 678 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4964 85.7192 % Incorrectly Classified Instances 827 14.2808 % Kappa statistic 0.8334 Mean absolute error 0.0779 Root mean squared error 0.1784 Relative absolute error 31.8205 % Root relative squared error 50.9745 % Total Number of Instances 5791 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.883 0.032 0.821 0.883 0.851 0.987 chest 0.81 0.027 0.834 0.81 0.822 0.976 forearm 0.873 0.023 0.865 0.873 0.869 0.989 head 0.924 0.011 0.933 0.924 0.928 0.994 shin 0.844 0.028 0.835 0.844 0.839 0.98 thigh 0.82 0.023 0.857 0.82 0.838 0.983 upperarm 0.847 0.023 0.858 0.847 0.852 0.983 waist Weighted Avg. 0.857 0.024 0.858 0.857 0.857 0.985 === Confusion Matrix === a b c d e f g <-- classified as 731 5 2 1 26 44 19 | a = chest 17 668 53 10 14 18 45 | b = forearm 10 41 724 4 11 12 27 | c = head 11 12 2 764 25 2 11 | d = shin 32 10 23 24 698 33 7 | e = thigh 53 28 5 7 49 678 7 | f = upperarm 36 37 28 9 13 4 701 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4910 84.7867 % Incorrectly Classified Instances 881 15.2133 % Kappa statistic 0.8225 Mean absolute error 0.0803 Root mean squared error 0.1821 Relative absolute error 32.789 % Root relative squared error 52.0296 % Total Number of Instances 5791 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.851 0.035 0.802 0.851 0.826 0.984 chest 0.8 0.029 0.823 0.8 0.811 0.978 forearm 0.872 0.025 0.856 0.872 0.864 0.988 head 0.917 0.011 0.931 0.917 0.924 0.994 shin 0.859 0.029 0.83 0.859 0.844 0.981 thigh 0.819 0.023 0.856 0.819 0.837 0.979 upperarm 0.818 0.026 0.841 0.818 0.829 0.981 waist Weighted Avg. 0.848 0.025 0.848 0.848 0.848 0.984 === Confusion Matrix === a b c d e f g <-- classified as 705 16 5 5 20 48 29 | a = chest 28 660 60 8 13 12 44 | b = forearm 7 41 723 1 25 9 23 | c = head 5 11 2 758 31 9 11 | d = shin 30 14 16 16 710 31 10 | e = thigh 51 25 8 12 43 677 11 | f = upperarm 53 35 31 14 13 5 677 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4986 86.0991 % Incorrectly Classified Instances 805 13.9009 % Kappa statistic 0.8378 Mean absolute error 0.0772 Root mean squared error 0.1766 Relative absolute error 31.5057 % Root relative squared error 50.4637 % Total Number of Instances 5791 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.896 0.031 0.829 0.896 0.861 0.987 chest 0.827 0.026 0.839 0.827 0.833 0.979 forearm 0.89 0.019 0.886 0.89 0.888 0.99 head 0.924 0.015 0.913 0.924 0.918 0.995 shin 0.825 0.027 0.835 0.825 0.83 0.98 thigh 0.816 0.019 0.878 0.816 0.846 0.984 upperarm 0.849 0.025 0.85 0.849 0.85 0.984 waist Weighted Avg. 0.861 0.023 0.861 0.861 0.861 0.985 === Confusion Matrix === a b c d e f g <-- classified as 742 13 4 3 24 22 20 | a = chest 17 682 42 12 18 13 41 | b = forearm 6 37 738 2 13 10 23 | c = head 4 6 4 764 26 5 18 | d = shin 44 14 18 25 682 39 5 | e = thigh 55 17 7 16 40 675 17 | f = upperarm 27 44 20 15 14 5 703 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4942 85.3393 % Incorrectly Classified Instances 849 14.6607 % Kappa statistic 0.829 Mean absolute error 0.0789 Root mean squared error 0.1797 Relative absolute error 32.2257 % Root relative squared error 51.3622 % Total Number of Instances 5791 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.883 0.031 0.828 0.883 0.854 0.988 chest 0.774 0.029 0.814 0.774 0.794 0.974 forearm 0.882 0.022 0.869 0.882 0.875 0.988 head 0.897 0.012 0.924 0.897 0.911 0.993 shin 0.844 0.028 0.835 0.844 0.839 0.981 thigh 0.86 0.022 0.866 0.86 0.863 0.987 upperarm 0.833 0.027 0.839 0.833 0.836 0.984 waist Weighted Avg. 0.853 0.024 0.854 0.853 0.853 0.985 === Confusion Matrix === a b c d e f g <-- classified as 731 9 4 7 20 29 28 | a = chest 23 638 59 10 20 17 57 | b = forearm 4 44 731 2 17 10 21 | c = head 8 17 4 743 33 11 12 | d = shin 40 6 15 22 698 35 11 | e = thigh 40 20 5 9 39 711 3 | f = upperarm 37 50 23 11 9 8 690 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4912 84.8213 % Incorrectly Classified Instances 879 15.1787 % Kappa statistic 0.8229 Mean absolute error 0.0803 Root mean squared error 0.1821 Relative absolute error 32.7753 % Root relative squared error 52.0468 % Total Number of Instances 5791 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.862 0.035 0.803 0.862 0.832 0.984 chest 0.792 0.031 0.81 0.792 0.801 0.977 forearm 0.882 0.023 0.863 0.882 0.872 0.989 head 0.928 0.015 0.913 0.928 0.92 0.996 shin 0.828 0.026 0.842 0.828 0.835 0.979 thigh 0.83 0.024 0.852 0.83 0.841 0.983 upperarm 0.815 0.023 0.856 0.815 0.835 0.983 waist Weighted Avg. 0.848 0.025 0.848 0.848 0.848 0.984 === Confusion Matrix === a b c d e f g <-- classified as 714 17 2 3 22 48 22 | a = chest 21 653 64 16 11 13 46 | b = forearm 4 44 731 3 13 9 25 | c = head 6 10 3 768 25 10 6 | d = shin 39 10 20 27 685 34 12 | e = thigh 52 29 6 7 44 686 3 | f = upperarm 53 43 21 17 14 5 675 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 8 FOLD: 0 Correctly Classified Instances 4916 84.8757 % Incorrectly Classified Instances 876 15.1243 % Kappa statistic 0.8235 Mean absolute error 0.0795 Root mean squared error 0.1808 Relative absolute error 32.459 % Root relative squared error 51.6693 % Total Number of Instances 5792 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.864 0.036 0.799 0.864 0.83 0.983 chest 0.794 0.028 0.825 0.794 0.809 0.974 forearm 0.889 0.021 0.876 0.889 0.883 0.989 head 0.908 0.012 0.925 0.908 0.917 0.996 shin 0.84 0.03 0.822 0.84 0.831 0.979 thigh 0.831 0.022 0.865 0.831 0.848 0.983 upperarm 0.815 0.027 0.833 0.815 0.824 0.983 waist Weighted Avg. 0.849 0.025 0.849 0.849 0.849 0.984 === Confusion Matrix === a b c d e f g <-- classified as 715 18 2 1 25 40 27 | a = chest 21 655 58 17 10 12 52 | b = forearm 2 32 737 1 17 11 29 | c = head 10 10 2 752 33 12 9 | d = shin 50 11 17 19 695 28 7 | e = thigh 43 25 5 7 49 687 11 | f = upperarm 54 43 20 16 16 4 675 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4922 84.9793 % Incorrectly Classified Instances 870 15.0207 % Kappa statistic 0.8248 Mean absolute error 0.0806 Root mean squared error 0.1819 Relative absolute error 32.9021 % Root relative squared error 51.9855 % Total Number of Instances 5792 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.878 0.035 0.807 0.878 0.841 0.986 chest 0.789 0.029 0.82 0.789 0.804 0.976 forearm 0.881 0.024 0.858 0.881 0.869 0.989 head 0.915 0.013 0.923 0.915 0.919 0.993 shin 0.826 0.027 0.838 0.826 0.832 0.98 thigh 0.831 0.022 0.861 0.831 0.846 0.983 upperarm 0.829 0.025 0.845 0.829 0.837 0.982 waist Weighted Avg. 0.85 0.025 0.85 0.85 0.85 0.984 === Confusion Matrix === a b c d e f g <-- classified as 727 10 3 4 24 34 26 | a = chest 27 651 56 12 13 19 47 | b = forearm 2 41 730 2 15 10 29 | c = head 10 11 8 758 29 5 7 | d = shin 36 14 20 28 683 36 10 | e = thigh 51 27 8 5 42 687 7 | f = upperarm 48 40 26 12 9 7 686 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4942 85.3246 % Incorrectly Classified Instances 850 14.6754 % Kappa statistic 0.8288 Mean absolute error 0.0787 Root mean squared error 0.179 Relative absolute error 32.1299 % Root relative squared error 51.1615 % Total Number of Instances 5792 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.889 0.034 0.813 0.889 0.849 0.987 chest 0.808 0.027 0.831 0.808 0.819 0.978 forearm 0.854 0.019 0.881 0.854 0.867 0.986 head 0.908 0.012 0.924 0.908 0.916 0.994 shin 0.839 0.027 0.838 0.839 0.839 0.981 thigh 0.838 0.025 0.847 0.838 0.843 0.984 upperarm 0.836 0.026 0.844 0.836 0.84 0.982 waist Weighted Avg. 0.853 0.024 0.854 0.853 0.853 0.985 === Confusion Matrix === a b c d e f g <-- classified as 736 15 3 5 18 33 18 | a = chest 23 667 44 14 15 15 47 | b = forearm 5 46 708 2 18 22 28 | c = head 6 14 4 752 28 7 17 | d = shin 41 8 17 20 694 37 10 | e = thigh 48 22 0 11 45 693 8 | f = upperarm 46 31 28 10 10 11 692 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4920 84.9448 % Incorrectly Classified Instances 872 15.0552 % Kappa statistic 0.8244 Mean absolute error 0.0799 Root mean squared error 0.1812 Relative absolute error 32.6091 % Root relative squared error 51.7739 % Total Number of Instances 5792 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.863 0.028 0.838 0.863 0.851 0.984 chest 0.785 0.028 0.821 0.785 0.803 0.975 forearm 0.888 0.026 0.851 0.888 0.869 0.99 head 0.925 0.015 0.913 0.925 0.919 0.994 shin 0.868 0.032 0.817 0.868 0.842 0.983 thigh 0.799 0.024 0.85 0.799 0.824 0.979 upperarm 0.816 0.023 0.857 0.816 0.836 0.981 waist Weighted Avg. 0.849 0.025 0.85 0.849 0.849 0.984 === Confusion Matrix === a b c d e f g <-- classified as 714 13 8 1 27 37 27 | a = chest 14 648 62 15 22 20 44 | b = forearm 4 44 736 1 19 6 19 | c = head 7 10 6 766 22 10 7 | d = shin 22 11 18 18 719 32 8 | e = thigh 47 26 10 17 58 661 8 | f = upperarm 44 37 25 21 13 12 676 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4930 85.1174 % Incorrectly Classified Instances 862 14.8826 % Kappa statistic 0.8264 Mean absolute error 0.078 Root mean squared error 0.1783 Relative absolute error 31.8682 % Root relative squared error 50.9564 % Total Number of Instances 5792 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.874 0.037 0.798 0.874 0.835 0.985 chest 0.832 0.029 0.827 0.832 0.829 0.982 forearm 0.876 0.02 0.878 0.876 0.877 0.991 head 0.908 0.014 0.914 0.908 0.911 0.994 shin 0.821 0.028 0.831 0.821 0.826 0.979 thigh 0.827 0.023 0.856 0.827 0.841 0.985 upperarm 0.82 0.022 0.861 0.82 0.84 0.984 waist Weighted Avg. 0.851 0.025 0.852 0.851 0.851 0.986 === Confusion Matrix === a b c d e f g <-- classified as 724 10 6 7 21 36 24 | a = chest 29 686 37 12 9 10 42 | b = forearm 7 43 726 2 21 11 19 | c = head 8 10 8 751 31 9 10 | d = shin 33 14 25 28 680 42 6 | e = thigh 58 21 1 10 44 684 9 | f = upperarm 48 46 24 12 12 7 679 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4938 85.2702 % Incorrectly Classified Instances 853 14.7298 % Kappa statistic 0.8282 Mean absolute error 0.0783 Root mean squared error 0.1787 Relative absolute error 31.9642 % Root relative squared error 51.0599 % Total Number of Instances 5791 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.87 0.032 0.819 0.87 0.844 0.987 chest 0.8 0.029 0.822 0.8 0.811 0.978 forearm 0.888 0.021 0.878 0.888 0.883 0.991 head 0.938 0.016 0.91 0.938 0.924 0.995 shin 0.826 0.028 0.833 0.826 0.83 0.98 thigh 0.813 0.025 0.846 0.813 0.829 0.98 upperarm 0.835 0.023 0.859 0.835 0.847 0.985 waist Weighted Avg. 0.853 0.025 0.853 0.853 0.852 0.985 === Confusion Matrix === a b c d e f g <-- classified as 720 11 2 5 21 45 24 | a = chest 15 659 55 11 17 16 51 | b = forearm 6 46 736 1 12 8 20 | c = head 6 5 3 776 25 8 4 | d = shin 37 9 11 36 684 41 10 | e = thigh 46 27 14 13 51 672 4 | f = upperarm 49 45 17 11 11 4 691 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4918 84.9249 % Incorrectly Classified Instances 873 15.0751 % Kappa statistic 0.8241 Mean absolute error 0.0786 Root mean squared error 0.1805 Relative absolute error 32.078 % Root relative squared error 51.5896 % Total Number of Instances 5791 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.857 0.031 0.824 0.857 0.84 0.984 chest 0.797 0.029 0.821 0.797 0.809 0.977 forearm 0.865 0.026 0.85 0.865 0.857 0.986 head 0.912 0.012 0.924 0.912 0.918 0.994 shin 0.848 0.028 0.834 0.848 0.841 0.981 thigh 0.825 0.022 0.86 0.825 0.842 0.982 upperarm 0.841 0.028 0.835 0.841 0.838 0.984 waist Weighted Avg. 0.849 0.025 0.85 0.849 0.849 0.984 === Confusion Matrix === a b c d e f g <-- classified as 710 10 7 1 28 42 30 | a = chest 17 657 60 9 9 20 52 | b = forearm 5 49 717 7 17 6 28 | c = head 6 10 3 754 32 9 13 | d = shin 26 10 24 26 702 32 8 | e = thigh 62 23 3 9 41 682 7 | f = upperarm 36 41 30 10 13 2 696 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4988 86.1337 % Incorrectly Classified Instances 803 13.8663 % Kappa statistic 0.8382 Mean absolute error 0.0763 Root mean squared error 0.1754 Relative absolute error 31.1533 % Root relative squared error 50.1213 % Total Number of Instances 5791 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.883 0.032 0.822 0.883 0.851 0.987 chest 0.801 0.031 0.811 0.801 0.806 0.977 forearm 0.882 0.018 0.894 0.882 0.888 0.991 head 0.932 0.012 0.929 0.932 0.931 0.997 shin 0.849 0.027 0.838 0.849 0.843 0.983 thigh 0.846 0.022 0.866 0.846 0.856 0.985 upperarm 0.836 0.02 0.873 0.836 0.854 0.985 waist Weighted Avg. 0.861 0.023 0.862 0.861 0.861 0.986 === Confusion Matrix === a b c d e f g <-- classified as 731 14 0 3 26 32 22 | a = chest 26 661 42 11 21 23 41 | b = forearm 4 42 731 2 15 12 23 | c = head 11 15 1 772 21 3 5 | d = shin 35 10 16 24 702 35 5 | e = thigh 44 23 3 11 41 699 5 | f = upperarm 38 50 25 8 12 3 692 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4920 84.9594 % Incorrectly Classified Instances 871 15.0406 % Kappa statistic 0.8245 Mean absolute error 0.0799 Root mean squared error 0.1811 Relative absolute error 32.6131 % Root relative squared error 51.7428 % Total Number of Instances 5791 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.879 0.034 0.811 0.879 0.844 0.987 chest 0.788 0.028 0.824 0.788 0.805 0.976 forearm 0.885 0.026 0.852 0.885 0.868 0.988 head 0.889 0.01 0.936 0.889 0.912 0.992 shin 0.833 0.029 0.829 0.833 0.831 0.98 thigh 0.835 0.025 0.848 0.835 0.841 0.983 upperarm 0.837 0.024 0.855 0.837 0.846 0.985 waist Weighted Avg. 0.85 0.025 0.851 0.85 0.85 0.985 === Confusion Matrix === a b c d e f g <-- classified as 728 9 1 4 21 40 25 | a = chest 21 650 64 11 15 20 44 | b = forearm 10 35 734 4 20 9 17 | c = head 11 9 6 736 38 17 11 | d = shin 38 15 31 13 689 30 11 | e = thigh 52 25 7 6 36 690 10 | f = upperarm 38 46 19 12 12 8 693 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4925 85.0458 % Incorrectly Classified Instances 866 14.9542 % Kappa statistic 0.8255 Mean absolute error 0.0783 Root mean squared error 0.1793 Relative absolute error 31.9867 % Root relative squared error 51.2532 % Total Number of Instances 5791 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.868 0.036 0.802 0.868 0.834 0.986 chest 0.793 0.028 0.823 0.793 0.807 0.975 forearm 0.905 0.025 0.86 0.905 0.882 0.99 head 0.906 0.011 0.931 0.906 0.918 0.995 shin 0.843 0.024 0.852 0.843 0.847 0.981 thigh 0.8 0.027 0.834 0.8 0.817 0.981 upperarm 0.838 0.024 0.856 0.838 0.847 0.984 waist Weighted Avg. 0.85 0.025 0.851 0.85 0.85 0.984 === Confusion Matrix === a b c d e f g <-- classified as 719 16 3 3 16 49 22 | a = chest 26 654 62 9 7 20 47 | b = forearm 6 36 750 1 14 5 17 | c = head 7 13 7 750 28 11 12 | d = shin 35 9 19 19 697 39 9 | e = thigh 61 28 9 14 43 661 10 | f = upperarm 42 39 22 10 13 8 694 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 9 FOLD: 0 Correctly Classified Instances 4897 84.5477 % Incorrectly Classified Instances 895 15.4523 % Kappa statistic 0.8197 Mean absolute error 0.0791 Root mean squared error 0.1804 Relative absolute error 32.3083 % Root relative squared error 51.5613 % Total Number of Instances 5792 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.864 0.043 0.769 0.864 0.813 0.983 chest 0.79 0.028 0.825 0.79 0.807 0.978 forearm 0.89 0.022 0.873 0.89 0.882 0.989 head 0.929 0.013 0.924 0.929 0.927 0.995 shin 0.846 0.028 0.835 0.846 0.841 0.983 thigh 0.811 0.025 0.843 0.811 0.827 0.984 upperarm 0.787 0.022 0.857 0.787 0.821 0.98 waist Weighted Avg. 0.845 0.026 0.847 0.845 0.845 0.985 === Confusion Matrix === a b c d e f g <-- classified as 715 16 1 2 23 43 28 | a = chest 30 652 54 11 17 16 45 | b = forearm 6 35 738 3 16 7 24 | c = head 5 14 4 769 24 8 4 | d = shin 41 14 8 21 700 39 4 | e = thigh 70 23 6 8 45 671 4 | f = upperarm 63 36 34 18 13 12 652 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4923 84.9965 % Incorrectly Classified Instances 869 15.0035 % Kappa statistic 0.825 Mean absolute error 0.0791 Root mean squared error 0.1797 Relative absolute error 32.2815 % Root relative squared error 51.3558 % Total Number of Instances 5792 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.877 0.031 0.823 0.877 0.849 0.986 chest 0.798 0.03 0.817 0.798 0.807 0.978 forearm 0.882 0.026 0.848 0.882 0.865 0.99 head 0.912 0.012 0.926 0.912 0.919 0.995 shin 0.826 0.031 0.814 0.826 0.82 0.978 thigh 0.831 0.024 0.852 0.831 0.841 0.984 upperarm 0.825 0.02 0.872 0.825 0.848 0.984 waist Weighted Avg. 0.85 0.025 0.851 0.85 0.85 0.985 === Confusion Matrix === a b c d e f g <-- classified as 726 14 4 4 27 38 15 | a = chest 24 658 62 14 11 17 39 | b = forearm 7 41 731 3 19 7 21 | c = head 4 12 6 754 35 7 9 | d = shin 35 11 21 25 684 43 9 | e = thigh 47 23 5 10 48 687 7 | f = upperarm 39 46 33 4 16 7 683 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4908 84.7376 % Incorrectly Classified Instances 884 15.2624 % Kappa statistic 0.8219 Mean absolute error 0.0796 Root mean squared error 0.1803 Relative absolute error 32.4945 % Root relative squared error 51.5156 % Total Number of Instances 5792 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.862 0.036 0.801 0.862 0.831 0.985 chest 0.795 0.029 0.82 0.795 0.807 0.978 forearm 0.894 0.023 0.868 0.894 0.881 0.99 head 0.913 0.013 0.921 0.913 0.917 0.995 shin 0.826 0.028 0.833 0.826 0.83 0.982 thigh 0.822 0.026 0.842 0.822 0.832 0.983 upperarm 0.819 0.024 0.85 0.819 0.834 0.983 waist Weighted Avg. 0.847 0.025 0.848 0.847 0.847 0.985 === Confusion Matrix === a b c d e f g <-- classified as 714 12 6 1 20 47 28 | a = chest 23 656 57 11 16 17 45 | b = forearm 4 32 741 4 16 7 25 | c = head 11 11 3 755 30 10 7 | d = shin 42 16 19 22 684 37 8 | e = thigh 54 27 5 11 43 680 7 | f = upperarm 43 46 23 16 12 10 678 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4937 85.2383 % Incorrectly Classified Instances 855 14.7617 % Kappa statistic 0.8278 Mean absolute error 0.0795 Root mean squared error 0.1807 Relative absolute error 32.4425 % Root relative squared error 51.6494 % Total Number of Instances 5792 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.866 0.034 0.811 0.866 0.838 0.985 chest 0.815 0.029 0.825 0.815 0.82 0.978 forearm 0.885 0.022 0.872 0.885 0.879 0.989 head 0.908 0.011 0.933 0.908 0.92 0.993 shin 0.856 0.029 0.832 0.856 0.844 0.981 thigh 0.825 0.024 0.849 0.825 0.837 0.98 upperarm 0.812 0.024 0.85 0.812 0.83 0.982 waist Weighted Avg. 0.852 0.025 0.853 0.852 0.852 0.984 === Confusion Matrix === a b c d e f g <-- classified as 717 16 4 3 29 32 27 | a = chest 19 672 54 12 17 13 38 | b = forearm 8 34 734 2 14 10 27 | c = head 9 10 2 751 27 16 12 | d = shin 30 11 11 20 709 43 4 | e = thigh 56 19 6 9 44 682 11 | f = upperarm 45 53 31 8 12 7 672 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4870 84.0815 % Incorrectly Classified Instances 922 15.9185 % Kappa statistic 0.8143 Mean absolute error 0.0796 Root mean squared error 0.1824 Relative absolute error 32.518 % Root relative squared error 52.1145 % Total Number of Instances 5792 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.877 0.034 0.81 0.877 0.842 0.985 chest 0.772 0.029 0.818 0.772 0.794 0.972 forearm 0.873 0.023 0.866 0.873 0.87 0.988 head 0.903 0.014 0.914 0.903 0.909 0.994 shin 0.816 0.032 0.808 0.816 0.812 0.979 thigh 0.813 0.024 0.847 0.813 0.83 0.983 upperarm 0.831 0.029 0.825 0.831 0.828 0.983 waist Weighted Avg. 0.841 0.027 0.841 0.841 0.841 0.984 === Confusion Matrix === a b c d e f g <-- classified as 725 12 0 3 24 41 22 | a = chest 18 637 53 10 12 24 71 | b = forearm 7 41 724 2 18 11 26 | c = head 7 16 4 748 37 7 9 | d = shin 38 12 28 28 676 35 11 | e = thigh 51 27 2 16 52 672 7 | f = upperarm 49 34 25 11 18 3 688 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4952 85.512 % Incorrectly Classified Instances 839 14.488 % Kappa statistic 0.831 Mean absolute error 0.0771 Root mean squared error 0.1771 Relative absolute error 31.4726 % Root relative squared error 50.6166 % Total Number of Instances 5791 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.882 0.032 0.82 0.882 0.85 0.986 chest 0.819 0.033 0.806 0.819 0.813 0.975 forearm 0.852 0.024 0.858 0.852 0.855 0.987 head 0.925 0.011 0.931 0.925 0.928 0.996 shin 0.845 0.023 0.859 0.845 0.852 0.983 thigh 0.845 0.02 0.877 0.845 0.861 0.984 upperarm 0.818 0.026 0.839 0.818 0.828 0.983 waist Weighted Avg. 0.855 0.024 0.856 0.855 0.855 0.985 === Confusion Matrix === a b c d e f g <-- classified as 730 14 5 3 19 31 26 | a = chest 19 675 55 13 9 11 42 | b = forearm 10 56 706 3 14 11 29 | c = head 8 12 3 766 25 9 5 | d = shin 33 10 23 17 699 30 15 | e = thigh 38 23 6 7 41 699 13 | f = upperarm 52 47 25 14 7 6 677 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4957 85.5983 % Incorrectly Classified Instances 834 14.4017 % Kappa statistic 0.832 Mean absolute error 0.0781 Root mean squared error 0.1788 Relative absolute error 31.8965 % Root relative squared error 51.086 % Total Number of Instances 5791 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.871 0.03 0.827 0.871 0.848 0.987 chest 0.784 0.024 0.842 0.784 0.812 0.977 forearm 0.887 0.021 0.875 0.887 0.881 0.989 head 0.912 0.012 0.926 0.912 0.919 0.995 shin 0.86 0.031 0.82 0.86 0.839 0.981 thigh 0.83 0.023 0.858 0.83 0.843 0.981 upperarm 0.849 0.026 0.847 0.849 0.848 0.985 waist Weighted Avg. 0.856 0.024 0.856 0.856 0.856 0.985 === Confusion Matrix === a b c d e f g <-- classified as 721 6 2 2 23 46 28 | a = chest 25 646 55 15 17 17 49 | b = forearm 3 34 735 2 21 9 25 | c = head 7 11 4 755 31 8 12 | d = shin 33 11 17 17 711 30 8 | e = thigh 47 21 7 9 52 686 5 | f = upperarm 36 38 20 15 12 4 703 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4917 84.9076 % Incorrectly Classified Instances 874 15.0924 % Kappa statistic 0.8239 Mean absolute error 0.0785 Root mean squared error 0.1794 Relative absolute error 32.0428 % Root relative squared error 51.2723 % Total Number of Instances 5791 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.862 0.032 0.817 0.862 0.839 0.986 chest 0.778 0.03 0.814 0.778 0.796 0.977 forearm 0.877 0.022 0.869 0.877 0.873 0.989 head 0.915 0.013 0.92 0.915 0.918 0.993 shin 0.852 0.029 0.832 0.852 0.842 0.982 thigh 0.82 0.023 0.856 0.82 0.837 0.982 upperarm 0.838 0.027 0.837 0.838 0.838 0.984 waist Weighted Avg. 0.849 0.025 0.849 0.849 0.849 0.985 === Confusion Matrix === a b c d e f g <-- classified as 714 14 4 5 23 41 27 | a = chest 32 642 63 5 16 18 49 | b = forearm 6 44 727 1 21 8 22 | c = head 11 9 4 758 27 7 12 | d = shin 27 9 14 28 705 33 11 | e = thigh 47 29 6 7 46 677 14 | f = upperarm 37 42 19 20 9 7 694 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4934 85.2012 % Incorrectly Classified Instances 857 14.7988 % Kappa statistic 0.8273 Mean absolute error 0.0798 Root mean squared error 0.1808 Relative absolute error 32.602 % Root relative squared error 51.6658 % Total Number of Instances 5791 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.888 0.034 0.815 0.888 0.85 0.986 chest 0.795 0.027 0.83 0.795 0.812 0.976 forearm 0.876 0.023 0.865 0.876 0.871 0.988 head 0.914 0.017 0.902 0.914 0.908 0.993 shin 0.83 0.026 0.843 0.83 0.836 0.979 thigh 0.823 0.021 0.867 0.823 0.845 0.982 upperarm 0.838 0.026 0.843 0.838 0.841 0.985 waist Weighted Avg. 0.852 0.025 0.852 0.852 0.852 0.984 === Confusion Matrix === a b c d e f g <-- classified as 735 13 2 3 21 28 26 | a = chest 25 656 61 12 9 16 46 | b = forearm 8 41 726 3 11 13 27 | c = head 10 8 6 757 31 8 8 | d = shin 41 6 20 32 686 31 11 | e = thigh 45 24 5 15 46 680 11 | f = upperarm 38 42 19 17 10 8 694 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4941 85.3221 % Incorrectly Classified Instances 850 14.6779 % Kappa statistic 0.8288 Mean absolute error 0.0777 Root mean squared error 0.1784 Relative absolute error 31.7353 % Root relative squared error 50.9809 % Total Number of Instances 5791 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.888 0.034 0.813 0.888 0.849 0.986 chest 0.796 0.026 0.838 0.796 0.817 0.979 forearm 0.902 0.023 0.867 0.902 0.884 0.991 head 0.908 0.013 0.918 0.908 0.913 0.995 shin 0.825 0.027 0.838 0.825 0.831 0.979 thigh 0.814 0.023 0.856 0.814 0.834 0.984 upperarm 0.839 0.026 0.845 0.839 0.842 0.985 waist Weighted Avg. 0.853 0.024 0.854 0.853 0.853 0.985 === Confusion Matrix === a b c d e f g <-- classified as 735 9 4 2 20 38 20 | a = chest 23 657 49 13 13 16 54 | b = forearm 4 39 748 1 8 6 23 | c = head 9 9 3 752 37 8 10 | d = shin 36 10 26 24 682 39 10 | e = thigh 48 25 7 18 46 672 10 | f = upperarm 49 35 26 9 8 6 695 | g = waist ------------------------------------------------------------------------------------------------------ SUBJECT: 13 RUN: 0 FOLD: 0 Correctly Classified Instances 4734 79.3098 % Incorrectly Classified Instances 1235 20.6902 % Kappa statistic 0.7586 Mean absolute error 0.1044 Root mean squared error 0.2103 Relative absolute error 42.6265 % Root relative squared error 60.0917 % Total Number of Instances 5969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.742 0.042 0.746 0.742 0.744 0.961 chest 0.715 0.029 0.803 0.715 0.756 0.958 forearm 0.791 0.036 0.786 0.791 0.789 0.968 head 0.925 0.018 0.898 0.925 0.911 0.993 shin 0.789 0.033 0.797 0.789 0.793 0.968 thigh 0.772 0.033 0.793 0.772 0.783 0.967 upperarm 0.817 0.05 0.733 0.817 0.772 0.97 waist Weighted Avg. 0.793 0.034 0.794 0.793 0.793 0.969 === Confusion Matrix === a b c d e f g <-- classified as 633 15 27 20 38 56 64 | a = chest 34 607 67 7 27 35 72 | b = forearm 21 44 679 3 38 24 49 | c = head 14 4 6 789 19 16 5 | d = shin 45 25 18 18 673 32 42 | e = thigh 47 37 33 27 28 657 22 | f = upperarm 54 24 34 15 21 8 696 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4695 78.6696 % Incorrectly Classified Instances 1273 21.3304 % Kappa statistic 0.7511 Mean absolute error 0.1042 Root mean squared error 0.2108 Relative absolute error 42.5457 % Root relative squared error 60.2487 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.742 0.041 0.752 0.742 0.747 0.96 chest 0.716 0.037 0.762 0.716 0.738 0.957 forearm 0.754 0.038 0.771 0.754 0.762 0.964 head 0.896 0.014 0.916 0.896 0.906 0.993 shin 0.809 0.035 0.793 0.809 0.801 0.97 thigh 0.764 0.036 0.78 0.764 0.772 0.966 upperarm 0.826 0.048 0.739 0.826 0.78 0.973 waist Weighted Avg. 0.787 0.036 0.788 0.787 0.787 0.969 === Confusion Matrix === a b c d e f g <-- classified as 633 31 12 11 38 64 64 | a = chest 40 607 80 9 24 32 56 | b = forearm 17 54 646 2 49 35 54 | c = head 19 10 1 764 22 24 13 | d = shin 44 24 26 16 690 20 33 | e = thigh 44 39 33 22 35 651 28 | f = upperarm 45 32 40 10 12 9 704 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4691 78.6025 % Incorrectly Classified Instances 1277 21.3975 % Kappa statistic 0.7504 Mean absolute error 0.104 Root mean squared error 0.2111 Relative absolute error 42.4755 % Root relative squared error 60.3363 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.741 0.043 0.742 0.741 0.741 0.96 chest 0.699 0.033 0.777 0.699 0.736 0.951 forearm 0.786 0.037 0.783 0.786 0.785 0.965 head 0.899 0.014 0.912 0.899 0.906 0.993 shin 0.811 0.036 0.789 0.811 0.8 0.969 thigh 0.741 0.039 0.762 0.741 0.751 0.961 upperarm 0.824 0.048 0.742 0.824 0.781 0.971 waist Weighted Avg. 0.786 0.036 0.787 0.786 0.786 0.967 === Confusion Matrix === a b c d e f g <-- classified as 632 30 25 10 28 68 60 | a = chest 41 593 69 9 34 39 63 | b = forearm 26 52 674 6 41 21 37 | c = head 16 5 3 767 19 30 13 | d = shin 36 18 21 13 692 27 46 | e = thigh 59 31 39 29 38 631 25 | f = upperarm 42 34 30 7 25 12 702 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4702 78.7869 % Incorrectly Classified Instances 1266 21.2131 % Kappa statistic 0.7525 Mean absolute error 0.104 Root mean squared error 0.2105 Relative absolute error 42.4682 % Root relative squared error 60.1463 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.723 0.037 0.765 0.723 0.744 0.962 chest 0.715 0.036 0.769 0.715 0.741 0.956 forearm 0.775 0.033 0.798 0.775 0.786 0.969 head 0.905 0.015 0.909 0.905 0.907 0.993 shin 0.817 0.036 0.789 0.817 0.803 0.972 thigh 0.771 0.04 0.763 0.771 0.767 0.965 upperarm 0.809 0.051 0.726 0.809 0.765 0.967 waist Weighted Avg. 0.788 0.035 0.789 0.788 0.788 0.969 === Confusion Matrix === a b c d e f g <-- classified as 616 25 19 13 38 77 64 | a = chest 38 607 72 4 27 31 70 | b = forearm 18 51 664 1 41 32 50 | c = head 16 7 1 772 17 29 11 | d = shin 36 18 15 19 697 26 42 | e = thigh 36 41 30 28 37 657 23 | f = upperarm 45 40 31 12 26 9 689 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4686 78.5188 % Incorrectly Classified Instances 1282 21.4812 % Kappa statistic 0.7494 Mean absolute error 0.1037 Root mean squared error 0.2102 Relative absolute error 42.3279 % Root relative squared error 60.067 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.748 0.042 0.749 0.748 0.748 0.96 chest 0.701 0.039 0.748 0.701 0.724 0.955 forearm 0.776 0.041 0.763 0.776 0.769 0.966 head 0.909 0.013 0.919 0.909 0.914 0.991 shin 0.816 0.03 0.817 0.816 0.816 0.972 thigh 0.751 0.037 0.771 0.751 0.761 0.967 upperarm 0.796 0.048 0.733 0.796 0.763 0.969 waist Weighted Avg. 0.785 0.036 0.786 0.785 0.785 0.968 === Confusion Matrix === a b c d e f g <-- classified as 637 32 28 9 33 48 65 | a = chest 42 595 73 8 29 35 67 | b = forearm 25 46 665 3 44 27 47 | c = head 11 4 4 775 16 33 10 | d = shin 38 24 22 13 696 27 33 | e = thigh 57 49 42 23 16 640 25 | f = upperarm 41 45 38 12 18 20 678 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4727 79.2058 % Incorrectly Classified Instances 1241 20.7942 % Kappa statistic 0.7574 Mean absolute error 0.1042 Root mean squared error 0.2103 Relative absolute error 42.5539 % Root relative squared error 60.0946 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.749 0.041 0.751 0.749 0.75 0.959 chest 0.721 0.031 0.795 0.721 0.756 0.957 forearm 0.772 0.034 0.791 0.772 0.782 0.964 head 0.918 0.014 0.915 0.918 0.916 0.994 shin 0.798 0.033 0.801 0.798 0.8 0.97 thigh 0.757 0.035 0.785 0.757 0.771 0.964 upperarm 0.829 0.054 0.718 0.829 0.769 0.968 waist Weighted Avg. 0.792 0.035 0.794 0.792 0.792 0.968 === Confusion Matrix === a b c d e f g <-- classified as 639 21 23 16 35 59 60 | a = chest 44 612 54 6 23 29 81 | b = forearm 19 53 662 2 41 31 49 | c = head 10 6 1 782 18 23 12 | d = shin 49 19 24 12 681 24 44 | e = thigh 44 30 43 25 34 645 31 | f = upperarm 46 29 30 12 18 11 706 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4704 78.8204 % Incorrectly Classified Instances 1264 21.1796 % Kappa statistic 0.7529 Mean absolute error 0.1055 Root mean squared error 0.2123 Relative absolute error 43.0688 % Root relative squared error 60.6632 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.76 0.046 0.734 0.76 0.747 0.96 chest 0.707 0.034 0.774 0.707 0.739 0.955 forearm 0.785 0.038 0.774 0.785 0.78 0.966 head 0.913 0.014 0.915 0.913 0.914 0.992 shin 0.802 0.036 0.788 0.802 0.795 0.969 thigh 0.741 0.035 0.777 0.741 0.758 0.961 upperarm 0.81 0.043 0.757 0.81 0.783 0.972 waist Weighted Avg. 0.788 0.035 0.789 0.788 0.788 0.968 === Confusion Matrix === a b c d e f g <-- classified as 648 24 20 11 43 50 57 | a = chest 49 600 81 2 25 41 51 | b = forearm 22 52 673 1 33 29 47 | c = head 19 6 2 778 16 23 8 | d = shin 41 19 18 23 684 30 38 | e = thigh 62 40 42 22 35 631 20 | f = upperarm 42 34 33 13 32 8 690 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4678 78.3847 % Incorrectly Classified Instances 1290 21.6153 % Kappa statistic 0.7478 Mean absolute error 0.1043 Root mean squared error 0.2121 Relative absolute error 42.5695 % Root relative squared error 60.6157 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.744 0.042 0.745 0.744 0.745 0.96 chest 0.68 0.035 0.765 0.68 0.72 0.947 forearm 0.788 0.041 0.763 0.788 0.775 0.963 head 0.9 0.012 0.925 0.9 0.913 0.991 shin 0.825 0.039 0.781 0.825 0.803 0.973 thigh 0.751 0.036 0.776 0.751 0.763 0.963 upperarm 0.798 0.047 0.738 0.798 0.767 0.966 waist Weighted Avg. 0.784 0.036 0.785 0.784 0.784 0.966 === Confusion Matrix === a b c d e f g <-- classified as 635 32 19 13 45 55 54 | a = chest 48 577 81 5 26 34 78 | b = forearm 37 41 675 1 36 28 39 | c = head 12 5 3 767 24 32 9 | d = shin 35 24 22 10 704 24 34 | e = thigh 42 41 45 22 34 640 28 | f = upperarm 43 34 40 11 32 12 680 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4705 78.8371 % Incorrectly Classified Instances 1263 21.1629 % Kappa statistic 0.7531 Mean absolute error 0.1038 Root mean squared error 0.2104 Relative absolute error 42.4029 % Root relative squared error 60.1382 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.773 0.042 0.752 0.773 0.762 0.96 chest 0.729 0.036 0.773 0.729 0.75 0.957 forearm 0.77 0.037 0.776 0.77 0.773 0.966 head 0.911 0.019 0.891 0.911 0.901 0.993 shin 0.807 0.035 0.795 0.807 0.801 0.971 thigh 0.741 0.036 0.776 0.741 0.758 0.962 upperarm 0.789 0.043 0.754 0.789 0.771 0.972 waist Weighted Avg. 0.788 0.035 0.788 0.788 0.788 0.969 === Confusion Matrix === a b c d e f g <-- classified as 659 20 19 17 31 50 57 | a = chest 31 619 72 4 24 43 56 | b = forearm 29 54 660 5 35 30 44 | c = head 18 5 3 776 25 19 6 | d = shin 36 20 23 22 688 28 36 | e = thigh 53 48 36 33 31 631 20 | f = upperarm 50 35 38 14 31 12 672 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4713 78.9712 % Incorrectly Classified Instances 1255 21.0288 % Kappa statistic 0.7547 Mean absolute error 0.1049 Root mean squared error 0.211 Relative absolute error 42.8205 % Root relative squared error 60.2887 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.747 0.04 0.755 0.747 0.751 0.958 chest 0.69 0.036 0.763 0.69 0.725 0.953 forearm 0.784 0.037 0.78 0.784 0.782 0.967 head 0.897 0.015 0.907 0.897 0.902 0.992 shin 0.817 0.032 0.811 0.817 0.814 0.973 thigh 0.779 0.035 0.789 0.779 0.784 0.968 upperarm 0.813 0.051 0.728 0.813 0.768 0.968 waist Weighted Avg. 0.79 0.035 0.791 0.79 0.79 0.968 === Confusion Matrix === a b c d e f g <-- classified as 637 30 20 15 30 53 68 | a = chest 50 586 72 8 23 36 74 | b = forearm 16 48 672 1 41 30 49 | c = head 13 6 4 764 19 33 13 | d = shin 44 27 19 12 697 18 36 | e = thigh 48 33 35 24 29 664 19 | f = upperarm 36 38 39 18 20 8 693 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 1 FOLD: 0 Correctly Classified Instances 4700 78.7402 % Incorrectly Classified Instances 1269 21.2598 % Kappa statistic 0.752 Mean absolute error 0.1051 Root mean squared error 0.2119 Relative absolute error 42.9312 % Root relative squared error 60.5493 % Total Number of Instances 5969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.732 0.044 0.737 0.732 0.734 0.955 chest 0.703 0.036 0.762 0.703 0.732 0.954 forearm 0.769 0.035 0.786 0.769 0.778 0.966 head 0.903 0.013 0.919 0.903 0.911 0.993 shin 0.802 0.032 0.806 0.802 0.804 0.969 thigh 0.775 0.037 0.779 0.775 0.777 0.963 upperarm 0.829 0.051 0.73 0.829 0.776 0.97 waist Weighted Avg. 0.787 0.035 0.789 0.787 0.787 0.967 === Confusion Matrix === a b c d e f g <-- classified as 624 34 20 10 36 65 64 | a = chest 50 597 77 6 23 34 62 | b = forearm 15 49 659 4 49 22 59 | c = head 20 7 2 770 24 17 13 | d = shin 42 24 19 17 684 34 33 | e = thigh 58 38 29 18 19 660 30 | f = upperarm 38 34 32 13 14 15 706 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4697 78.7031 % Incorrectly Classified Instances 1271 21.2969 % Kappa statistic 0.7515 Mean absolute error 0.104 Root mean squared error 0.2108 Relative absolute error 42.4655 % Root relative squared error 60.2389 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.757 0.043 0.746 0.757 0.751 0.962 chest 0.708 0.033 0.78 0.708 0.742 0.96 forearm 0.788 0.04 0.77 0.788 0.779 0.964 head 0.903 0.015 0.91 0.903 0.906 0.991 shin 0.803 0.033 0.8 0.803 0.802 0.971 thigh 0.755 0.035 0.781 0.755 0.768 0.961 upperarm 0.796 0.049 0.729 0.796 0.761 0.97 waist Weighted Avg. 0.787 0.035 0.788 0.787 0.787 0.968 === Confusion Matrix === a b c d e f g <-- classified as 645 18 23 23 38 49 56 | a = chest 33 601 82 5 26 30 72 | b = forearm 23 58 675 0 25 25 51 | c = head 12 4 3 770 17 35 12 | d = shin 52 24 18 18 685 26 30 | e = thigh 46 37 40 22 33 643 31 | f = upperarm 54 29 36 8 32 15 678 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4732 79.2895 % Incorrectly Classified Instances 1236 20.7105 % Kappa statistic 0.7584 Mean absolute error 0.1034 Root mean squared error 0.2098 Relative absolute error 42.2346 % Root relative squared error 59.9495 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.757 0.038 0.771 0.757 0.764 0.962 chest 0.72 0.035 0.772 0.72 0.745 0.958 forearm 0.789 0.034 0.797 0.789 0.793 0.966 head 0.917 0.014 0.914 0.917 0.915 0.992 shin 0.808 0.037 0.783 0.808 0.795 0.97 thigh 0.748 0.036 0.777 0.748 0.762 0.963 upperarm 0.812 0.048 0.739 0.812 0.774 0.97 waist Weighted Avg. 0.793 0.035 0.793 0.793 0.793 0.969 === Confusion Matrix === a b c d e f g <-- classified as 645 30 16 11 26 65 59 | a = chest 34 611 63 6 36 29 70 | b = forearm 19 44 676 4 41 26 47 | c = head 7 6 4 782 22 25 7 | d = shin 40 22 19 20 689 25 38 | e = thigh 49 48 38 23 34 637 23 | f = upperarm 43 30 32 10 32 13 692 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4731 79.2728 % Incorrectly Classified Instances 1237 20.7272 % Kappa statistic 0.7582 Mean absolute error 0.1045 Root mean squared error 0.2104 Relative absolute error 42.6659 % Root relative squared error 60.1281 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.768 0.038 0.773 0.768 0.771 0.963 chest 0.716 0.033 0.781 0.716 0.747 0.952 forearm 0.785 0.04 0.768 0.785 0.777 0.968 head 0.905 0.018 0.896 0.905 0.9 0.989 shin 0.816 0.033 0.804 0.816 0.81 0.972 thigh 0.765 0.036 0.78 0.765 0.773 0.966 upperarm 0.793 0.045 0.748 0.793 0.77 0.968 waist Weighted Avg. 0.793 0.035 0.793 0.793 0.792 0.969 === Confusion Matrix === a b c d e f g <-- classified as 655 15 26 12 31 60 54 | a = chest 40 607 70 8 27 31 65 | b = forearm 24 41 673 1 40 32 46 | c = head 14 6 4 772 18 27 12 | d = shin 37 28 20 16 696 23 33 | e = thigh 38 42 38 34 30 652 18 | f = upperarm 39 38 45 19 24 11 676 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4748 79.5576 % Incorrectly Classified Instances 1220 20.4424 % Kappa statistic 0.7615 Mean absolute error 0.1048 Root mean squared error 0.2109 Relative absolute error 42.7744 % Root relative squared error 60.2763 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.769 0.037 0.777 0.769 0.773 0.962 chest 0.709 0.032 0.784 0.709 0.744 0.958 forearm 0.777 0.04 0.768 0.777 0.772 0.965 head 0.899 0.015 0.908 0.899 0.903 0.993 shin 0.819 0.034 0.8 0.819 0.809 0.972 thigh 0.79 0.032 0.806 0.79 0.798 0.969 upperarm 0.805 0.049 0.734 0.805 0.768 0.968 waist Weighted Avg. 0.796 0.034 0.796 0.796 0.795 0.969 === Confusion Matrix === a b c d e f g <-- classified as 656 25 25 9 38 42 58 | a = chest 32 601 70 8 20 30 87 | b = forearm 30 52 667 5 38 28 38 | c = head 14 6 1 766 29 30 6 | d = shin 32 14 26 18 699 25 39 | e = thigh 35 32 40 20 31 673 21 | f = upperarm 45 37 40 18 19 7 686 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4650 77.9155 % Incorrectly Classified Instances 1318 22.0845 % Kappa statistic 0.7423 Mean absolute error 0.1052 Root mean squared error 0.2132 Relative absolute error 42.9423 % Root relative squared error 60.9159 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.702 0.041 0.74 0.702 0.721 0.955 chest 0.69 0.034 0.772 0.69 0.729 0.952 forearm 0.778 0.04 0.766 0.778 0.772 0.965 head 0.914 0.016 0.907 0.914 0.911 0.994 shin 0.814 0.036 0.792 0.814 0.803 0.969 thigh 0.742 0.039 0.761 0.742 0.751 0.959 upperarm 0.813 0.053 0.719 0.813 0.763 0.969 waist Weighted Avg. 0.779 0.037 0.78 0.779 0.779 0.966 === Confusion Matrix === a b c d e f g <-- classified as 599 31 24 15 34 66 84 | a = chest 41 586 81 7 32 37 65 | b = forearm 21 38 667 0 44 33 54 | c = head 10 4 4 779 18 27 10 | d = shin 41 19 22 17 694 25 35 | e = thigh 57 47 36 28 29 632 23 | f = upperarm 40 34 37 13 25 10 693 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4765 79.8425 % Incorrectly Classified Instances 1203 20.1575 % Kappa statistic 0.7648 Mean absolute error 0.1027 Root mean squared error 0.2091 Relative absolute error 41.9545 % Root relative squared error 59.7621 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.747 0.042 0.749 0.747 0.748 0.96 chest 0.731 0.029 0.809 0.731 0.768 0.958 forearm 0.788 0.037 0.781 0.788 0.784 0.964 head 0.906 0.012 0.929 0.906 0.917 0.992 shin 0.841 0.034 0.805 0.841 0.822 0.974 thigh 0.748 0.039 0.76 0.748 0.754 0.963 upperarm 0.829 0.043 0.762 0.829 0.794 0.97 waist Weighted Avg. 0.798 0.034 0.799 0.798 0.798 0.969 === Confusion Matrix === a b c d e f g <-- classified as 637 27 15 7 38 72 57 | a = chest 44 621 69 5 24 33 53 | b = forearm 23 41 675 3 38 29 48 | c = head 11 7 5 772 26 22 9 | d = shin 42 12 16 7 717 28 31 | e = thigh 50 44 44 31 24 637 22 | f = upperarm 43 16 40 6 24 17 706 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4729 79.2393 % Incorrectly Classified Instances 1239 20.7607 % Kappa statistic 0.7578 Mean absolute error 0.1039 Root mean squared error 0.2101 Relative absolute error 42.4239 % Root relative squared error 60.033 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.743 0.039 0.76 0.743 0.752 0.96 chest 0.713 0.035 0.77 0.713 0.74 0.951 forearm 0.805 0.037 0.787 0.805 0.796 0.968 head 0.903 0.018 0.892 0.903 0.897 0.993 shin 0.808 0.033 0.805 0.808 0.806 0.972 thigh 0.771 0.034 0.792 0.771 0.781 0.966 upperarm 0.804 0.047 0.742 0.804 0.772 0.969 waist Weighted Avg. 0.792 0.035 0.792 0.792 0.792 0.968 === Confusion Matrix === a b c d e f g <-- classified as 634 30 20 14 36 50 69 | a = chest 49 605 62 2 32 34 65 | b = forearm 27 46 690 5 24 25 40 | c = head 19 5 0 769 19 32 8 | d = shin 33 27 26 18 689 21 39 | e = thigh 37 37 42 33 29 657 17 | f = upperarm 35 36 37 21 27 11 685 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4703 78.8036 % Incorrectly Classified Instances 1265 21.1964 % Kappa statistic 0.7527 Mean absolute error 0.1039 Root mean squared error 0.2107 Relative absolute error 42.4354 % Root relative squared error 60.224 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.758 0.048 0.726 0.758 0.742 0.96 chest 0.708 0.036 0.768 0.708 0.737 0.954 forearm 0.768 0.036 0.783 0.768 0.775 0.966 head 0.914 0.015 0.911 0.914 0.913 0.992 shin 0.804 0.031 0.813 0.804 0.808 0.972 thigh 0.745 0.037 0.773 0.745 0.759 0.961 upperarm 0.818 0.046 0.747 0.818 0.781 0.97 waist Weighted Avg. 0.788 0.035 0.789 0.788 0.788 0.968 === Confusion Matrix === a b c d e f g <-- classified as 647 27 22 10 29 60 58 | a = chest 38 601 73 7 24 41 65 | b = forearm 34 52 658 2 35 31 45 | c = head 17 4 1 779 19 26 6 | d = shin 55 18 16 20 686 22 36 | e = thigh 59 46 28 26 32 635 26 | f = upperarm 41 35 42 11 19 7 697 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4671 78.2674 % Incorrectly Classified Instances 1297 21.7326 % Kappa statistic 0.7465 Mean absolute error 0.1054 Root mean squared error 0.2127 Relative absolute error 43.0553 % Root relative squared error 60.7969 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.726 0.038 0.763 0.726 0.744 0.961 chest 0.682 0.031 0.785 0.682 0.73 0.948 forearm 0.77 0.037 0.776 0.77 0.773 0.967 head 0.905 0.016 0.905 0.905 0.905 0.992 shin 0.795 0.037 0.782 0.795 0.788 0.965 thigh 0.781 0.042 0.757 0.781 0.769 0.966 upperarm 0.819 0.053 0.72 0.819 0.766 0.97 waist Weighted Avg. 0.783 0.036 0.784 0.783 0.782 0.967 === Confusion Matrix === a b c d e f g <-- classified as 619 28 23 14 49 51 69 | a = chest 42 579 67 7 21 58 75 | b = forearm 14 58 660 3 38 41 43 | c = head 14 5 3 772 17 29 13 | d = shin 42 12 23 16 678 30 52 | e = thigh 38 32 34 25 37 665 20 | f = upperarm 42 24 41 16 27 4 698 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 2 FOLD: 0 Correctly Classified Instances 4664 78.137 % Incorrectly Classified Instances 1305 21.863 % Kappa statistic 0.7449 Mean absolute error 0.1061 Root mean squared error 0.2139 Relative absolute error 43.3409 % Root relative squared error 61.1238 % Total Number of Instances 5969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.735 0.046 0.727 0.735 0.731 0.957 chest 0.711 0.033 0.78 0.711 0.744 0.955 forearm 0.751 0.037 0.774 0.751 0.763 0.959 head 0.896 0.016 0.903 0.896 0.899 0.991 shin 0.819 0.034 0.801 0.819 0.81 0.974 thigh 0.737 0.037 0.767 0.737 0.752 0.96 upperarm 0.819 0.052 0.726 0.819 0.77 0.969 waist Weighted Avg. 0.781 0.036 0.782 0.781 0.781 0.966 === Confusion Matrix === a b c d e f g <-- classified as 627 21 16 18 40 59 72 | a = chest 52 604 69 4 31 32 57 | b = forearm 29 55 644 2 32 35 60 | c = head 22 4 4 764 17 34 8 | d = shin 40 17 22 16 699 20 39 | e = thigh 55 35 42 32 32 628 28 | f = upperarm 38 38 35 10 22 11 698 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4717 79.0382 % Incorrectly Classified Instances 1251 20.9618 % Kappa statistic 0.7554 Mean absolute error 0.1037 Root mean squared error 0.2097 Relative absolute error 42.3298 % Root relative squared error 59.9367 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.757 0.044 0.742 0.757 0.749 0.961 chest 0.701 0.033 0.779 0.701 0.738 0.957 forearm 0.775 0.037 0.779 0.775 0.777 0.966 head 0.925 0.013 0.924 0.925 0.924 0.994 shin 0.79 0.029 0.819 0.79 0.804 0.971 thigh 0.76 0.037 0.775 0.76 0.767 0.965 upperarm 0.824 0.052 0.725 0.824 0.771 0.972 waist Weighted Avg. 0.79 0.035 0.792 0.79 0.79 0.969 === Confusion Matrix === a b c d e f g <-- classified as 646 27 18 10 32 62 58 | a = chest 34 595 78 3 21 40 78 | b = forearm 28 50 665 0 32 26 57 | c = head 14 3 2 788 16 20 9 | d = shin 48 22 17 27 674 29 36 | e = thigh 55 39 36 19 27 647 28 | f = upperarm 46 28 38 6 21 11 702 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4731 79.2728 % Incorrectly Classified Instances 1237 20.7272 % Kappa statistic 0.7582 Mean absolute error 0.1036 Root mean squared error 0.2088 Relative absolute error 42.298 % Root relative squared error 59.6634 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.732 0.039 0.755 0.732 0.743 0.96 chest 0.696 0.038 0.752 0.696 0.723 0.956 forearm 0.791 0.037 0.781 0.791 0.786 0.969 head 0.927 0.016 0.908 0.927 0.918 0.993 shin 0.811 0.031 0.814 0.811 0.813 0.971 thigh 0.772 0.033 0.794 0.772 0.783 0.966 upperarm 0.819 0.047 0.743 0.819 0.779 0.973 waist Weighted Avg. 0.793 0.035 0.793 0.793 0.792 0.97 === Confusion Matrix === a b c d e f g <-- classified as 624 25 26 13 39 65 61 | a = chest 42 591 75 6 28 40 67 | b = forearm 16 60 678 2 28 25 48 | c = head 13 9 2 790 21 12 5 | d = shin 46 24 21 16 692 22 32 | e = thigh 39 34 36 33 24 658 28 | f = upperarm 46 43 30 10 18 7 698 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4765 79.8425 % Incorrectly Classified Instances 1203 20.1575 % Kappa statistic 0.7648 Mean absolute error 0.1026 Root mean squared error 0.2085 Relative absolute error 41.8757 % Root relative squared error 59.5823 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.734 0.034 0.783 0.734 0.757 0.961 chest 0.737 0.029 0.809 0.737 0.771 0.964 forearm 0.798 0.037 0.782 0.798 0.79 0.969 head 0.918 0.017 0.901 0.918 0.909 0.994 shin 0.822 0.037 0.788 0.822 0.804 0.97 thigh 0.761 0.037 0.775 0.761 0.768 0.963 upperarm 0.819 0.044 0.755 0.819 0.786 0.972 waist Weighted Avg. 0.798 0.034 0.799 0.798 0.798 0.97 === Confusion Matrix === a b c d e f g <-- classified as 626 23 22 20 33 60 69 | a = chest 35 626 66 7 29 35 51 | b = forearm 18 42 684 5 38 30 40 | c = head 8 4 3 782 20 30 5 | d = shin 26 16 27 17 701 30 36 | e = thigh 48 31 29 26 44 648 26 | f = upperarm 39 32 44 11 25 3 698 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4709 78.9042 % Incorrectly Classified Instances 1259 21.0958 % Kappa statistic 0.7539 Mean absolute error 0.1041 Root mean squared error 0.2108 Relative absolute error 42.5054 % Root relative squared error 60.2504 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.764 0.042 0.752 0.764 0.758 0.965 chest 0.708 0.037 0.761 0.708 0.733 0.952 forearm 0.779 0.036 0.786 0.779 0.783 0.967 head 0.901 0.016 0.901 0.901 0.901 0.992 shin 0.802 0.032 0.807 0.802 0.804 0.965 thigh 0.765 0.038 0.773 0.765 0.769 0.966 upperarm 0.803 0.046 0.746 0.803 0.773 0.968 waist Weighted Avg. 0.789 0.035 0.789 0.789 0.789 0.968 === Confusion Matrix === a b c d e f g <-- classified as 652 24 13 11 31 61 61 | a = chest 36 601 79 8 25 36 64 | b = forearm 19 48 668 5 34 41 42 | c = head 16 11 3 768 22 22 10 | d = shin 47 20 23 15 684 24 40 | e = thigh 48 46 29 28 33 652 16 | f = upperarm 49 40 35 17 19 8 684 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4731 79.2728 % Incorrectly Classified Instances 1237 20.7272 % Kappa statistic 0.7582 Mean absolute error 0.1042 Root mean squared error 0.2107 Relative absolute error 42.5294 % Root relative squared error 60.202 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.768 0.038 0.772 0.768 0.77 0.965 chest 0.723 0.039 0.756 0.723 0.739 0.956 forearm 0.775 0.037 0.778 0.775 0.776 0.965 head 0.899 0.014 0.914 0.899 0.907 0.991 shin 0.807 0.036 0.787 0.807 0.797 0.966 thigh 0.765 0.034 0.79 0.765 0.778 0.966 upperarm 0.812 0.044 0.755 0.812 0.782 0.969 waist Weighted Avg. 0.793 0.035 0.793 0.793 0.793 0.968 === Confusion Matrix === a b c d e f g <-- classified as 655 28 22 8 42 48 50 | a = chest 35 614 71 4 24 40 61 | b = forearm 19 54 664 5 48 25 42 | c = head 20 6 2 766 20 28 10 | d = shin 41 23 24 15 688 26 36 | e = thigh 46 47 37 23 21 652 26 | f = upperarm 32 40 34 17 31 6 692 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4653 77.9658 % Incorrectly Classified Instances 1315 22.0342 % Kappa statistic 0.7429 Mean absolute error 0.1049 Root mean squared error 0.2125 Relative absolute error 42.8223 % Root relative squared error 60.7329 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.754 0.045 0.737 0.754 0.745 0.955 chest 0.673 0.032 0.776 0.673 0.721 0.955 forearm 0.776 0.039 0.768 0.776 0.772 0.964 head 0.89 0.014 0.912 0.89 0.901 0.991 shin 0.816 0.036 0.792 0.816 0.804 0.972 thigh 0.743 0.035 0.78 0.743 0.761 0.963 upperarm 0.806 0.056 0.707 0.806 0.753 0.964 waist Weighted Avg. 0.78 0.037 0.782 0.78 0.78 0.966 === Confusion Matrix === a b c d e f g <-- classified as 642 28 22 18 33 51 58 | a = chest 41 571 82 6 31 34 84 | b = forearm 26 37 665 4 42 26 57 | c = head 17 4 3 759 20 30 20 | d = shin 42 20 15 12 696 25 43 | e = thigh 61 44 36 17 38 633 23 | f = upperarm 42 32 43 16 19 13 687 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4673 78.3009 % Incorrectly Classified Instances 1295 21.6991 % Kappa statistic 0.7468 Mean absolute error 0.1051 Root mean squared error 0.2125 Relative absolute error 42.911 % Root relative squared error 60.7206 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.714 0.038 0.757 0.714 0.735 0.956 chest 0.706 0.039 0.751 0.706 0.727 0.955 forearm 0.777 0.038 0.773 0.777 0.775 0.965 head 0.907 0.013 0.921 0.907 0.914 0.993 shin 0.822 0.037 0.789 0.822 0.805 0.973 thigh 0.755 0.039 0.762 0.755 0.758 0.96 upperarm 0.8 0.049 0.731 0.8 0.764 0.968 waist Weighted Avg. 0.783 0.036 0.783 0.783 0.783 0.967 === Confusion Matrix === a b c d e f g <-- classified as 608 40 27 9 43 66 59 | a = chest 30 599 79 6 31 29 75 | b = forearm 25 43 666 1 49 35 38 | c = head 9 4 1 774 15 35 15 | d = shin 38 24 16 13 701 24 37 | e = thigh 44 50 39 25 24 643 27 | f = upperarm 49 38 34 12 25 12 682 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4663 78.1334 % Incorrectly Classified Instances 1305 21.8666 % Kappa statistic 0.7449 Mean absolute error 0.1061 Root mean squared error 0.2132 Relative absolute error 43.3202 % Root relative squared error 60.9208 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.717 0.039 0.755 0.717 0.736 0.956 chest 0.697 0.038 0.754 0.697 0.724 0.948 forearm 0.762 0.037 0.777 0.762 0.77 0.967 head 0.912 0.016 0.904 0.912 0.908 0.993 shin 0.822 0.038 0.781 0.822 0.801 0.969 thigh 0.749 0.038 0.769 0.749 0.759 0.964 upperarm 0.81 0.05 0.73 0.81 0.768 0.968 waist Weighted Avg. 0.781 0.036 0.781 0.781 0.781 0.966 === Confusion Matrix === a b c d e f g <-- classified as 612 30 29 13 39 70 60 | a = chest 45 591 66 6 27 39 74 | b = forearm 19 61 653 3 40 26 55 | c = head 5 10 1 778 28 24 7 | d = shin 37 17 18 18 701 23 39 | e = thigh 51 41 40 28 34 638 20 | f = upperarm 42 34 33 15 28 10 690 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4750 79.5912 % Incorrectly Classified Instances 1218 20.4088 % Kappa statistic 0.7619 Mean absolute error 0.1036 Root mean squared error 0.21 Relative absolute error 42.2948 % Root relative squared error 60.0244 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.801 0.042 0.761 0.801 0.781 0.965 chest 0.692 0.029 0.801 0.692 0.743 0.95 forearm 0.805 0.035 0.793 0.805 0.799 0.968 head 0.891 0.014 0.913 0.891 0.902 0.992 shin 0.816 0.035 0.795 0.816 0.806 0.971 thigh 0.754 0.039 0.764 0.754 0.759 0.963 upperarm 0.812 0.045 0.751 0.812 0.781 0.967 waist Weighted Avg. 0.796 0.034 0.797 0.796 0.796 0.968 === Confusion Matrix === a b c d e f g <-- classified as 683 13 17 9 24 44 63 | a = chest 47 587 59 7 34 46 68 | b = forearm 25 34 690 3 38 35 32 | c = head 16 4 6 760 23 34 10 | d = shin 32 27 21 18 696 21 38 | e = thigh 55 45 39 20 33 642 18 | f = upperarm 39 23 38 15 27 18 692 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 3 FOLD: 0 Correctly Classified Instances 4695 78.6564 % Incorrectly Classified Instances 1274 21.3436 % Kappa statistic 0.751 Mean absolute error 0.1052 Root mean squared error 0.2116 Relative absolute error 42.9502 % Root relative squared error 60.4608 % Total Number of Instances 5969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.756 0.042 0.75 0.756 0.753 0.962 chest 0.702 0.034 0.772 0.702 0.735 0.959 forearm 0.758 0.041 0.757 0.758 0.758 0.961 head 0.899 0.016 0.906 0.899 0.902 0.99 shin 0.83 0.036 0.792 0.83 0.811 0.97 thigh 0.739 0.035 0.781 0.739 0.759 0.961 upperarm 0.82 0.045 0.752 0.82 0.785 0.972 waist Weighted Avg. 0.787 0.036 0.787 0.787 0.786 0.968 === Confusion Matrix === a b c d e f g <-- classified as 645 22 19 18 42 56 51 | a = chest 44 596 86 3 29 37 54 | b = forearm 23 59 650 3 36 30 56 | c = head 17 8 6 767 15 28 12 | d = shin 36 10 30 19 708 17 33 | e = thigh 46 49 38 27 37 630 25 | f = upperarm 49 28 30 10 27 9 699 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4711 78.9377 % Incorrectly Classified Instances 1257 21.0623 % Kappa statistic 0.7543 Mean absolute error 0.1035 Root mean squared error 0.2102 Relative absolute error 42.2653 % Root relative squared error 60.0812 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.743 0.044 0.736 0.743 0.739 0.957 chest 0.715 0.036 0.766 0.715 0.74 0.953 forearm 0.79 0.036 0.785 0.79 0.788 0.97 head 0.912 0.016 0.905 0.912 0.908 0.993 shin 0.805 0.03 0.817 0.805 0.811 0.973 thigh 0.781 0.039 0.77 0.781 0.775 0.966 upperarm 0.779 0.044 0.747 0.779 0.763 0.968 waist Weighted Avg. 0.789 0.035 0.789 0.789 0.789 0.968 === Confusion Matrix === a b c d e f g <-- classified as 633 29 21 9 29 63 68 | a = chest 41 607 57 4 37 33 70 | b = forearm 29 57 677 2 25 35 32 | c = head 16 8 2 778 12 31 6 | d = shin 46 19 21 23 687 25 32 | e = thigh 44 39 32 29 26 665 17 | f = upperarm 51 33 52 15 25 12 664 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4722 79.122 % Incorrectly Classified Instances 1246 20.878 % Kappa statistic 0.7564 Mean absolute error 0.1029 Root mean squared error 0.209 Relative absolute error 42.0034 % Root relative squared error 59.7407 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.752 0.04 0.759 0.752 0.756 0.962 chest 0.728 0.041 0.747 0.728 0.737 0.957 forearm 0.774 0.04 0.766 0.774 0.77 0.964 head 0.913 0.012 0.93 0.913 0.921 0.994 shin 0.836 0.034 0.802 0.836 0.819 0.974 thigh 0.729 0.033 0.785 0.729 0.756 0.962 upperarm 0.806 0.044 0.752 0.806 0.778 0.97 waist Weighted Avg. 0.791 0.035 0.792 0.791 0.791 0.969 === Confusion Matrix === a b c d e f g <-- classified as 641 33 28 9 37 47 57 | a = chest 47 617 73 1 25 37 48 | b = forearm 15 53 664 1 38 37 50 | c = head 23 5 1 779 18 18 9 | d = shin 36 23 25 9 713 20 27 | e = thigh 49 51 34 26 36 621 35 | f = upperarm 33 44 42 13 22 11 687 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4740 79.4236 % Incorrectly Classified Instances 1228 20.5764 % Kappa statistic 0.7599 Mean absolute error 0.103 Root mean squared error 0.2091 Relative absolute error 42.0687 % Root relative squared error 59.7453 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.733 0.035 0.778 0.733 0.755 0.963 chest 0.737 0.034 0.781 0.737 0.758 0.958 forearm 0.753 0.032 0.797 0.753 0.774 0.963 head 0.92 0.016 0.908 0.92 0.914 0.993 shin 0.816 0.04 0.774 0.816 0.795 0.971 thigh 0.775 0.036 0.78 0.775 0.777 0.965 upperarm 0.826 0.047 0.744 0.826 0.783 0.971 waist Weighted Avg. 0.794 0.034 0.795 0.794 0.794 0.969 === Confusion Matrix === a b c d e f g <-- classified as 625 25 31 11 34 61 66 | a = chest 39 625 54 7 32 26 65 | b = forearm 21 52 645 8 56 32 43 | c = head 9 4 2 785 24 20 9 | d = shin 41 18 16 23 696 28 31 | e = thigh 40 39 34 20 31 660 28 | f = upperarm 28 37 27 11 26 19 704 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4712 78.9544 % Incorrectly Classified Instances 1256 21.0456 % Kappa statistic 0.7545 Mean absolute error 0.1047 Root mean squared error 0.2113 Relative absolute error 42.7366 % Root relative squared error 60.3742 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.747 0.039 0.763 0.747 0.755 0.96 chest 0.696 0.031 0.79 0.696 0.74 0.954 forearm 0.775 0.035 0.787 0.775 0.781 0.967 head 0.918 0.017 0.9 0.918 0.909 0.994 shin 0.816 0.035 0.796 0.816 0.806 0.969 thigh 0.772 0.039 0.768 0.772 0.77 0.966 upperarm 0.803 0.05 0.726 0.803 0.763 0.967 waist Weighted Avg. 0.79 0.035 0.79 0.79 0.789 0.968 === Confusion Matrix === a b c d e f g <-- classified as 637 21 17 19 29 57 73 | a = chest 43 591 62 8 31 46 68 | b = forearm 23 46 664 5 39 31 49 | c = head 10 5 4 783 20 23 8 | d = shin 41 18 18 12 696 32 36 | e = thigh 39 36 41 28 26 657 24 | f = upperarm 42 31 38 15 33 9 684 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4687 78.5355 % Incorrectly Classified Instances 1281 21.4645 % Kappa statistic 0.7496 Mean absolute error 0.1046 Root mean squared error 0.2119 Relative absolute error 42.7232 % Root relative squared error 60.5515 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.733 0.04 0.752 0.733 0.742 0.959 chest 0.701 0.036 0.762 0.701 0.73 0.952 forearm 0.793 0.037 0.781 0.793 0.787 0.966 head 0.905 0.015 0.907 0.905 0.906 0.994 shin 0.78 0.035 0.787 0.78 0.783 0.965 thigh 0.768 0.035 0.787 0.768 0.777 0.966 upperarm 0.818 0.051 0.727 0.818 0.77 0.97 waist Weighted Avg. 0.785 0.036 0.786 0.785 0.785 0.967 === Confusion Matrix === a b c d e f g <-- classified as 625 28 28 12 39 54 67 | a = chest 36 595 73 9 32 34 70 | b = forearm 19 51 680 1 40 19 47 | c = head 13 5 0 771 23 30 10 | d = shin 47 24 26 20 665 29 42 | e = thigh 48 44 29 26 25 654 26 | f = upperarm 43 34 35 11 21 11 697 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4693 78.6361 % Incorrectly Classified Instances 1275 21.3639 % Kappa statistic 0.7507 Mean absolute error 0.1053 Root mean squared error 0.2119 Relative absolute error 43.0117 % Root relative squared error 60.5657 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.734 0.039 0.759 0.734 0.746 0.959 chest 0.694 0.033 0.776 0.694 0.733 0.952 forearm 0.816 0.042 0.765 0.816 0.789 0.97 head 0.911 0.015 0.91 0.911 0.91 0.992 shin 0.819 0.035 0.794 0.819 0.807 0.972 thigh 0.717 0.033 0.782 0.717 0.748 0.964 upperarm 0.813 0.051 0.725 0.813 0.767 0.967 waist Weighted Avg. 0.786 0.036 0.787 0.786 0.786 0.968 === Confusion Matrix === a b c d e f g <-- classified as 626 25 23 8 37 55 79 | a = chest 38 589 89 3 22 43 65 | b = forearm 18 40 699 0 31 21 48 | c = head 12 9 2 776 18 24 11 | d = shin 42 22 21 20 699 14 35 | e = thigh 52 42 43 32 47 611 25 | f = upperarm 37 32 37 14 26 13 693 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4691 78.6025 % Incorrectly Classified Instances 1277 21.3975 % Kappa statistic 0.7504 Mean absolute error 0.1044 Root mean squared error 0.2114 Relative absolute error 42.6315 % Root relative squared error 60.4204 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.728 0.041 0.748 0.728 0.738 0.957 chest 0.698 0.035 0.767 0.698 0.731 0.956 forearm 0.777 0.036 0.782 0.777 0.779 0.967 head 0.91 0.017 0.901 0.91 0.905 0.992 shin 0.816 0.032 0.809 0.816 0.813 0.974 thigh 0.752 0.038 0.768 0.752 0.76 0.963 upperarm 0.82 0.051 0.73 0.82 0.772 0.97 waist Weighted Avg. 0.786 0.036 0.786 0.786 0.786 0.969 === Confusion Matrix === a b c d e f g <-- classified as 621 29 19 16 38 68 62 | a = chest 34 593 65 11 24 37 85 | b = forearm 24 52 666 7 34 23 51 | c = head 13 6 4 775 14 30 10 | d = shin 41 19 17 13 696 31 36 | e = thigh 57 39 41 25 34 641 15 | f = upperarm 40 35 40 13 20 5 699 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4654 77.9826 % Incorrectly Classified Instances 1314 22.0174 % Kappa statistic 0.7431 Mean absolute error 0.1055 Root mean squared error 0.2133 Relative absolute error 43.0883 % Root relative squared error 60.9619 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.734 0.044 0.736 0.734 0.735 0.957 chest 0.695 0.037 0.758 0.695 0.725 0.958 forearm 0.774 0.036 0.785 0.774 0.779 0.963 head 0.906 0.015 0.911 0.906 0.909 0.993 shin 0.778 0.034 0.794 0.778 0.786 0.965 thigh 0.779 0.04 0.764 0.779 0.772 0.964 upperarm 0.792 0.052 0.717 0.792 0.753 0.966 waist Weighted Avg. 0.78 0.037 0.781 0.78 0.78 0.967 === Confusion Matrix === a b c d e f g <-- classified as 626 33 14 18 38 67 57 | a = chest 41 590 74 4 22 38 80 | b = forearm 23 51 663 2 31 36 51 | c = head 10 8 1 772 23 24 14 | d = shin 53 21 18 19 664 29 49 | e = thigh 51 39 36 17 29 664 16 | f = upperarm 47 36 39 15 29 11 675 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4755 79.6749 % Incorrectly Classified Instances 1213 20.3251 % Kappa statistic 0.7629 Mean absolute error 0.1033 Root mean squared error 0.2096 Relative absolute error 42.1883 % Root relative squared error 59.9051 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.768 0.036 0.78 0.768 0.774 0.965 chest 0.701 0.029 0.801 0.701 0.747 0.952 forearm 0.783 0.037 0.778 0.783 0.781 0.966 head 0.897 0.015 0.908 0.897 0.903 0.99 shin 0.812 0.035 0.794 0.812 0.803 0.967 thigh 0.771 0.039 0.767 0.771 0.769 0.966 upperarm 0.845 0.045 0.756 0.845 0.798 0.973 waist Weighted Avg. 0.797 0.034 0.798 0.797 0.796 0.969 === Confusion Matrix === a b c d e f g <-- classified as 655 23 19 12 31 56 57 | a = chest 44 595 82 5 24 31 68 | b = forearm 20 37 671 5 42 42 40 | c = head 12 3 6 764 27 35 5 | d = shin 32 18 19 15 693 31 45 | e = thigh 39 41 38 27 33 657 17 | f = upperarm 38 26 27 13 23 5 720 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 4 FOLD: 0 Correctly Classified Instances 4724 79.1422 % Incorrectly Classified Instances 1245 20.8578 % Kappa statistic 0.7567 Mean absolute error 0.1038 Root mean squared error 0.2102 Relative absolute error 42.3912 % Root relative squared error 60.0573 % Total Number of Instances 5969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.737 0.035 0.777 0.737 0.756 0.963 chest 0.702 0.034 0.773 0.702 0.736 0.955 forearm 0.776 0.037 0.778 0.776 0.777 0.966 head 0.918 0.015 0.908 0.918 0.913 0.993 shin 0.809 0.037 0.785 0.809 0.797 0.969 thigh 0.782 0.04 0.766 0.782 0.774 0.967 upperarm 0.816 0.045 0.753 0.816 0.783 0.971 waist Weighted Avg. 0.791 0.035 0.791 0.791 0.791 0.969 === Confusion Matrix === a b c d e f g <-- classified as 629 25 20 12 41 66 60 | a = chest 34 596 74 5 33 39 68 | b = forearm 16 60 665 4 37 34 41 | c = head 11 2 4 783 27 21 5 | d = shin 38 24 26 13 690 29 33 | e = thigh 39 38 29 30 29 666 21 | f = upperarm 43 26 37 15 22 14 695 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4716 79.0214 % Incorrectly Classified Instances 1252 20.9786 % Kappa statistic 0.7552 Mean absolute error 0.1045 Root mean squared error 0.2106 Relative absolute error 42.6719 % Root relative squared error 60.1917 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.73 0.039 0.758 0.73 0.744 0.956 chest 0.695 0.034 0.771 0.695 0.731 0.953 forearm 0.795 0.038 0.777 0.795 0.785 0.965 head 0.907 0.014 0.917 0.907 0.912 0.991 shin 0.815 0.037 0.786 0.815 0.8 0.97 thigh 0.773 0.034 0.789 0.773 0.781 0.966 upperarm 0.816 0.048 0.738 0.816 0.775 0.97 waist Weighted Avg. 0.79 0.035 0.791 0.79 0.79 0.967 === Confusion Matrix === a b c d e f g <-- classified as 622 28 30 14 36 57 65 | a = chest 39 590 75 6 37 32 70 | b = forearm 23 43 681 1 36 30 43 | c = head 10 9 2 774 26 15 17 | d = shin 41 16 21 16 695 32 32 | e = thigh 37 45 33 22 36 659 20 | f = upperarm 49 34 35 11 18 10 695 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4664 78.1501 % Incorrectly Classified Instances 1304 21.8499 % Kappa statistic 0.7451 Mean absolute error 0.1063 Root mean squared error 0.214 Relative absolute error 43.3861 % Root relative squared error 61.1575 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.732 0.04 0.753 0.732 0.742 0.958 chest 0.735 0.038 0.764 0.735 0.749 0.956 forearm 0.777 0.039 0.768 0.777 0.773 0.964 head 0.904 0.015 0.907 0.904 0.905 0.992 shin 0.795 0.033 0.8 0.795 0.797 0.97 thigh 0.71 0.037 0.764 0.71 0.736 0.953 upperarm 0.817 0.053 0.721 0.817 0.766 0.97 waist Weighted Avg. 0.782 0.036 0.782 0.782 0.781 0.966 === Confusion Matrix === a b c d e f g <-- classified as 624 23 26 12 36 63 68 | a = chest 39 624 63 5 21 37 60 | b = forearm 19 60 666 5 32 24 51 | c = head 13 8 2 771 18 27 14 | d = shin 34 25 22 19 678 22 53 | e = thigh 65 40 49 28 42 605 23 | f = upperarm 35 37 39 10 21 14 696 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4718 79.055 % Incorrectly Classified Instances 1250 20.945 % Kappa statistic 0.7556 Mean absolute error 0.1028 Root mean squared error 0.209 Relative absolute error 41.9913 % Root relative squared error 59.7244 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.73 0.039 0.758 0.73 0.744 0.963 chest 0.727 0.04 0.752 0.727 0.739 0.958 forearm 0.776 0.035 0.788 0.776 0.782 0.966 head 0.909 0.013 0.922 0.909 0.915 0.994 shin 0.818 0.036 0.793 0.818 0.806 0.971 thigh 0.767 0.036 0.78 0.767 0.774 0.964 upperarm 0.806 0.046 0.744 0.806 0.774 0.971 waist Weighted Avg. 0.791 0.035 0.791 0.791 0.79 0.97 === Confusion Matrix === a b c d e f g <-- classified as 623 34 19 15 45 55 62 | a = chest 38 617 71 6 26 40 51 | b = forearm 25 55 665 2 36 28 46 | c = head 15 5 1 775 24 24 9 | d = shin 34 30 18 12 698 20 41 | e = thigh 44 44 37 20 26 653 27 | f = upperarm 43 36 33 11 25 17 687 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4680 78.4182 % Incorrectly Classified Instances 1288 21.5818 % Kappa statistic 0.7482 Mean absolute error 0.1042 Root mean squared error 0.2115 Relative absolute error 42.5406 % Root relative squared error 60.453 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.76 0.04 0.758 0.76 0.759 0.959 chest 0.697 0.033 0.776 0.697 0.734 0.954 forearm 0.785 0.041 0.765 0.785 0.775 0.967 head 0.906 0.017 0.899 0.906 0.902 0.991 shin 0.803 0.034 0.796 0.803 0.799 0.971 thigh 0.73 0.036 0.771 0.73 0.75 0.965 upperarm 0.808 0.05 0.73 0.808 0.767 0.969 waist Weighted Avg. 0.784 0.036 0.785 0.784 0.784 0.968 === Confusion Matrix === a b c d e f g <-- classified as 648 22 17 13 23 63 67 | a = chest 39 592 72 7 33 41 65 | b = forearm 17 50 673 1 40 29 47 | c = head 13 7 4 772 22 25 9 | d = shin 35 17 25 26 685 25 40 | e = thigh 60 41 48 24 30 622 27 | f = upperarm 43 34 41 16 28 2 688 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4736 79.3566 % Incorrectly Classified Instances 1232 20.6434 % Kappa statistic 0.7592 Mean absolute error 0.1038 Root mean squared error 0.2097 Relative absolute error 42.373 % Root relative squared error 59.9291 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.777 0.041 0.758 0.777 0.767 0.961 chest 0.711 0.034 0.776 0.711 0.742 0.955 forearm 0.756 0.033 0.791 0.756 0.773 0.964 head 0.907 0.015 0.909 0.907 0.908 0.992 shin 0.845 0.032 0.816 0.845 0.83 0.973 thigh 0.761 0.038 0.771 0.761 0.766 0.965 upperarm 0.797 0.047 0.736 0.797 0.766 0.967 waist Weighted Avg. 0.794 0.034 0.794 0.794 0.793 0.968 === Confusion Matrix === a b c d e f g <-- classified as 663 19 21 8 29 53 60 | a = chest 26 604 65 4 33 41 76 | b = forearm 31 50 648 2 39 37 50 | c = head 17 9 2 773 16 25 10 | d = shin 44 12 16 15 721 18 27 | e = thigh 39 45 37 35 28 648 20 | f = upperarm 55 39 30 13 18 18 679 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4688 78.5523 % Incorrectly Classified Instances 1280 21.4477 % Kappa statistic 0.7498 Mean absolute error 0.105 Root mean squared error 0.2114 Relative absolute error 42.8659 % Root relative squared error 60.4116 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.757 0.045 0.738 0.757 0.748 0.962 chest 0.716 0.033 0.781 0.716 0.747 0.955 forearm 0.753 0.04 0.761 0.753 0.757 0.964 head 0.897 0.014 0.912 0.897 0.904 0.991 shin 0.804 0.036 0.79 0.804 0.797 0.97 thigh 0.756 0.032 0.796 0.756 0.775 0.967 upperarm 0.816 0.05 0.73 0.816 0.771 0.97 waist Weighted Avg. 0.786 0.036 0.787 0.786 0.786 0.968 === Confusion Matrix === a b c d e f g <-- classified as 646 27 26 14 35 47 58 | a = chest 38 608 71 7 24 33 68 | b = forearm 26 55 645 8 48 23 52 | c = head 13 7 3 764 23 29 13 | d = shin 48 15 20 14 686 29 41 | e = thigh 56 43 39 18 27 644 25 | f = upperarm 48 23 44 13 25 4 695 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4676 78.3512 % Incorrectly Classified Instances 1292 21.6488 % Kappa statistic 0.7474 Mean absolute error 0.1057 Root mean squared error 0.2129 Relative absolute error 43.1423 % Root relative squared error 60.8359 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.73 0.043 0.738 0.73 0.734 0.958 chest 0.704 0.034 0.774 0.704 0.737 0.955 forearm 0.765 0.041 0.758 0.765 0.761 0.962 head 0.911 0.014 0.916 0.911 0.913 0.993 shin 0.825 0.03 0.821 0.825 0.823 0.972 thigh 0.742 0.037 0.772 0.742 0.756 0.963 upperarm 0.806 0.054 0.714 0.806 0.757 0.967 waist Weighted Avg. 0.784 0.036 0.785 0.784 0.783 0.967 === Confusion Matrix === a b c d e f g <-- classified as 623 27 19 23 30 58 73 | a = chest 38 598 93 4 18 29 69 | b = forearm 24 48 656 3 38 38 50 | c = head 16 5 3 776 17 29 6 | d = shin 41 16 17 7 704 24 44 | e = thigh 47 45 36 27 32 632 33 | f = upperarm 55 34 42 7 18 9 687 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4731 79.2728 % Incorrectly Classified Instances 1237 20.7272 % Kappa statistic 0.7582 Mean absolute error 0.1045 Root mean squared error 0.2109 Relative absolute error 42.6798 % Root relative squared error 60.2759 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.771 0.04 0.762 0.771 0.766 0.96 chest 0.683 0.031 0.787 0.683 0.731 0.951 forearm 0.774 0.034 0.791 0.774 0.783 0.966 head 0.903 0.015 0.911 0.903 0.907 0.993 shin 0.815 0.033 0.805 0.815 0.81 0.972 thigh 0.785 0.036 0.784 0.785 0.785 0.967 upperarm 0.818 0.053 0.719 0.818 0.766 0.967 waist Weighted Avg. 0.793 0.035 0.794 0.793 0.792 0.968 === Confusion Matrix === a b c d e f g <-- classified as 658 23 15 8 33 49 67 | a = chest 51 579 58 9 36 37 78 | b = forearm 27 50 664 2 34 23 58 | c = head 17 4 2 769 10 37 13 | d = shin 35 21 17 19 695 28 38 | e = thigh 39 34 44 23 25 669 18 | f = upperarm 37 25 39 14 30 10 697 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4718 79.055 % Incorrectly Classified Instances 1250 20.945 % Kappa statistic 0.7556 Mean absolute error 0.1032 Root mean squared error 0.2093 Relative absolute error 42.1482 % Root relative squared error 59.8101 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.74 0.041 0.749 0.74 0.745 0.962 chest 0.705 0.037 0.762 0.705 0.732 0.955 forearm 0.804 0.035 0.794 0.804 0.799 0.972 head 0.92 0.016 0.904 0.92 0.912 0.993 shin 0.788 0.032 0.802 0.788 0.795 0.963 thigh 0.75 0.037 0.772 0.75 0.761 0.965 upperarm 0.826 0.046 0.75 0.826 0.786 0.972 waist Weighted Avg. 0.791 0.035 0.79 0.791 0.79 0.969 === Confusion Matrix === a b c d e f g <-- classified as 631 29 16 13 44 67 53 | a = chest 46 598 68 4 20 38 74 | b = forearm 26 45 689 0 35 23 39 | c = head 18 3 3 785 15 22 7 | d = shin 38 26 19 25 672 31 42 | e = thigh 46 46 40 26 35 639 20 | f = upperarm 37 38 33 15 17 8 704 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 5 FOLD: 0 Correctly Classified Instances 4713 78.9579 % Incorrectly Classified Instances 1256 21.0421 % Kappa statistic 0.7545 Mean absolute error 0.1043 Root mean squared error 0.2104 Relative absolute error 42.5841 % Root relative squared error 60.1144 % Total Number of Instances 5969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.749 0.041 0.753 0.749 0.751 0.963 chest 0.715 0.034 0.777 0.715 0.745 0.954 forearm 0.768 0.038 0.773 0.768 0.77 0.964 head 0.906 0.016 0.903 0.906 0.905 0.991 shin 0.822 0.035 0.796 0.822 0.809 0.97 thigh 0.745 0.038 0.766 0.745 0.756 0.965 upperarm 0.822 0.043 0.759 0.822 0.789 0.976 waist Weighted Avg. 0.79 0.035 0.79 0.79 0.789 0.969 === Confusion Matrix === a b c d e f g <-- classified as 639 23 20 14 32 68 57 | a = chest 42 607 72 5 34 31 58 | b = forearm 24 53 658 3 39 28 52 | c = head 17 5 2 773 18 34 4 | d = shin 38 23 21 19 701 18 33 | e = thigh 52 44 40 31 32 635 18 | f = upperarm 37 26 38 11 25 15 700 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4711 78.9377 % Incorrectly Classified Instances 1257 21.0623 % Kappa statistic 0.7543 Mean absolute error 0.104 Root mean squared error 0.2109 Relative absolute error 42.4825 % Root relative squared error 60.2693 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.744 0.04 0.755 0.744 0.75 0.959 chest 0.709 0.032 0.787 0.709 0.746 0.954 forearm 0.774 0.034 0.791 0.774 0.782 0.963 head 0.905 0.017 0.897 0.905 0.901 0.992 shin 0.825 0.035 0.798 0.825 0.812 0.973 thigh 0.755 0.037 0.772 0.755 0.763 0.964 upperarm 0.813 0.05 0.73 0.813 0.77 0.972 waist Weighted Avg. 0.789 0.035 0.79 0.789 0.789 0.968 === Confusion Matrix === a b c d e f g <-- classified as 635 23 20 13 38 58 66 | a = chest 44 601 56 7 27 44 69 | b = forearm 27 44 663 4 44 32 43 | c = head 12 9 1 772 23 22 14 | d = shin 30 12 22 15 704 25 45 | e = thigh 47 42 39 36 26 643 19 | f = upperarm 46 33 37 14 20 9 693 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4801 80.4457 % Incorrectly Classified Instances 1167 19.5543 % Kappa statistic 0.7719 Mean absolute error 0.1026 Root mean squared error 0.208 Relative absolute error 41.914 % Root relative squared error 59.4497 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.757 0.04 0.758 0.757 0.758 0.961 chest 0.745 0.032 0.795 0.745 0.769 0.96 forearm 0.782 0.036 0.785 0.782 0.784 0.968 head 0.905 0.013 0.919 0.905 0.912 0.991 shin 0.832 0.031 0.817 0.832 0.825 0.972 thigh 0.778 0.032 0.804 0.778 0.791 0.965 upperarm 0.831 0.044 0.758 0.831 0.793 0.972 waist Weighted Avg. 0.804 0.033 0.805 0.804 0.804 0.97 === Confusion Matrix === a b c d e f g <-- classified as 646 31 24 9 37 42 64 | a = chest 41 632 65 3 19 32 56 | b = forearm 21 47 670 3 39 37 40 | c = head 13 5 3 772 18 26 16 | d = shin 42 17 21 14 710 15 34 | e = thigh 48 34 31 28 32 663 16 | f = upperarm 41 29 39 11 14 10 708 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4701 78.7701 % Incorrectly Classified Instances 1267 21.2299 % Kappa statistic 0.7523 Mean absolute error 0.1048 Root mean squared error 0.2119 Relative absolute error 42.7783 % Root relative squared error 60.5421 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.752 0.038 0.766 0.752 0.759 0.962 chest 0.721 0.039 0.756 0.721 0.738 0.953 forearm 0.777 0.038 0.773 0.777 0.775 0.966 head 0.91 0.014 0.914 0.91 0.912 0.993 shin 0.789 0.032 0.802 0.789 0.796 0.971 thigh 0.75 0.034 0.787 0.75 0.768 0.964 upperarm 0.815 0.052 0.724 0.815 0.766 0.966 waist Weighted Avg. 0.788 0.035 0.789 0.788 0.788 0.968 === Confusion Matrix === a b c d e f g <-- classified as 641 20 21 21 30 50 69 | a = chest 39 612 67 9 17 31 74 | b = forearm 22 50 666 3 39 31 46 | c = head 10 10 4 776 17 26 10 | d = shin 44 29 28 15 673 21 43 | e = thigh 49 43 40 19 39 639 23 | f = upperarm 32 46 36 6 24 14 694 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4640 77.748 % Incorrectly Classified Instances 1328 22.252 % Kappa statistic 0.7404 Mean absolute error 0.1057 Root mean squared error 0.2133 Relative absolute error 43.1679 % Root relative squared error 60.9496 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.731 0.039 0.759 0.731 0.745 0.96 chest 0.681 0.034 0.767 0.681 0.721 0.953 forearm 0.766 0.038 0.77 0.766 0.768 0.964 head 0.898 0.014 0.913 0.898 0.905 0.99 shin 0.812 0.037 0.787 0.812 0.799 0.972 thigh 0.757 0.038 0.771 0.757 0.764 0.962 upperarm 0.797 0.06 0.69 0.797 0.74 0.964 waist Weighted Avg. 0.777 0.037 0.779 0.777 0.777 0.966 === Confusion Matrix === a b c d e f g <-- classified as 623 23 14 13 30 66 83 | a = chest 38 578 85 8 30 33 77 | b = forearm 19 57 657 2 36 31 56 | c = head 14 9 3 765 23 27 11 | d = shin 45 20 14 11 693 24 46 | e = thigh 43 38 36 19 39 645 32 | f = upperarm 39 29 44 20 30 11 679 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4746 79.5241 % Incorrectly Classified Instances 1222 20.4759 % Kappa statistic 0.7611 Mean absolute error 0.1029 Root mean squared error 0.2087 Relative absolute error 42.0004 % Root relative squared error 59.6511 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.767 0.044 0.745 0.767 0.756 0.961 chest 0.72 0.034 0.777 0.72 0.747 0.957 forearm 0.783 0.034 0.794 0.783 0.788 0.972 head 0.908 0.016 0.903 0.908 0.906 0.99 shin 0.832 0.036 0.792 0.832 0.812 0.969 thigh 0.755 0.033 0.793 0.755 0.773 0.966 upperarm 0.802 0.041 0.763 0.802 0.782 0.97 waist Weighted Avg. 0.795 0.034 0.795 0.795 0.795 0.969 === Confusion Matrix === a b c d e f g <-- classified as 654 30 20 9 41 48 51 | a = chest 42 611 72 8 28 36 52 | b = forearm 23 51 671 3 34 35 40 | c = head 20 2 6 774 18 22 10 | d = shin 36 22 16 19 710 18 32 | e = thigh 52 35 26 29 40 643 27 | f = upperarm 51 35 34 15 25 9 683 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4679 78.4015 % Incorrectly Classified Instances 1289 21.5985 % Kappa statistic 0.748 Mean absolute error 0.1043 Root mean squared error 0.2114 Relative absolute error 42.6012 % Root relative squared error 60.4106 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.741 0.041 0.75 0.741 0.745 0.961 chest 0.687 0.032 0.782 0.687 0.731 0.956 forearm 0.771 0.039 0.768 0.771 0.769 0.965 head 0.912 0.014 0.915 0.912 0.914 0.993 shin 0.804 0.038 0.78 0.804 0.792 0.965 thigh 0.75 0.035 0.78 0.75 0.765 0.963 upperarm 0.823 0.053 0.723 0.823 0.769 0.97 waist Weighted Avg. 0.784 0.036 0.785 0.784 0.784 0.967 === Confusion Matrix === a b c d e f g <-- classified as 632 23 27 17 35 59 60 | a = chest 47 583 86 2 19 36 76 | b = forearm 24 43 661 3 47 24 55 | c = head 16 6 3 777 25 18 7 | d = shin 32 17 15 24 686 36 43 | e = thigh 48 43 35 18 41 639 28 | f = upperarm 44 31 34 8 27 7 701 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4730 79.256 % Incorrectly Classified Instances 1238 20.744 % Kappa statistic 0.758 Mean absolute error 0.104 Root mean squared error 0.2101 Relative absolute error 42.4589 % Root relative squared error 60.0361 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.737 0.041 0.75 0.737 0.743 0.958 chest 0.713 0.032 0.788 0.713 0.748 0.959 forearm 0.793 0.038 0.779 0.793 0.786 0.968 head 0.914 0.014 0.918 0.914 0.916 0.992 shin 0.795 0.034 0.798 0.795 0.796 0.967 thigh 0.766 0.036 0.78 0.766 0.773 0.966 upperarm 0.829 0.048 0.742 0.829 0.783 0.97 waist Weighted Avg. 0.793 0.035 0.793 0.793 0.792 0.969 === Confusion Matrix === a b c d e f g <-- classified as 629 31 19 13 44 54 63 | a = chest 36 605 79 4 29 34 62 | b = forearm 21 43 680 3 31 32 47 | c = head 15 7 0 779 19 23 9 | d = shin 41 24 23 16 678 32 39 | e = thigh 47 30 43 23 30 653 26 | f = upperarm 50 28 29 11 19 9 706 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4690 78.5858 % Incorrectly Classified Instances 1278 21.4142 % Kappa statistic 0.7502 Mean absolute error 0.1052 Root mean squared error 0.2122 Relative absolute error 42.9382 % Root relative squared error 60.6284 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.757 0.042 0.75 0.757 0.754 0.959 chest 0.716 0.038 0.758 0.716 0.737 0.954 forearm 0.771 0.035 0.785 0.771 0.778 0.963 head 0.898 0.018 0.895 0.898 0.896 0.992 shin 0.802 0.032 0.806 0.802 0.804 0.972 thigh 0.782 0.038 0.774 0.782 0.778 0.966 upperarm 0.775 0.047 0.735 0.775 0.754 0.965 waist Weighted Avg. 0.786 0.036 0.786 0.786 0.786 0.967 === Confusion Matrix === a b c d e f g <-- classified as 646 24 27 11 30 54 61 | a = chest 48 608 58 10 29 33 63 | b = forearm 25 59 661 4 30 31 47 | c = head 15 6 0 765 18 39 9 | d = shin 38 22 26 20 684 27 36 | e = thigh 45 42 27 25 25 666 22 | f = upperarm 44 41 43 20 33 11 660 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4697 78.7031 % Incorrectly Classified Instances 1271 21.2969 % Kappa statistic 0.7515 Mean absolute error 0.1055 Root mean squared error 0.2123 Relative absolute error 43.0934 % Root relative squared error 60.6618 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.74 0.036 0.772 0.74 0.756 0.96 chest 0.687 0.04 0.74 0.687 0.712 0.948 forearm 0.784 0.038 0.776 0.784 0.78 0.966 head 0.912 0.016 0.905 0.912 0.908 0.993 shin 0.814 0.032 0.807 0.814 0.81 0.972 thigh 0.75 0.039 0.761 0.75 0.755 0.963 upperarm 0.823 0.047 0.747 0.823 0.783 0.969 waist Weighted Avg. 0.787 0.035 0.787 0.787 0.786 0.967 === Confusion Matrix === a b c d e f g <-- classified as 631 25 25 14 32 65 61 | a = chest 32 583 77 8 33 40 76 | b = forearm 20 48 672 3 39 29 46 | c = head 16 3 2 778 20 27 7 | d = shin 47 29 9 17 694 26 31 | e = thigh 44 55 46 26 25 638 17 | f = upperarm 27 45 35 14 17 13 701 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 6 FOLD: 0 Correctly Classified Instances 4702 78.7737 % Incorrectly Classified Instances 1267 21.2263 % Kappa statistic 0.7524 Mean absolute error 0.1045 Root mean squared error 0.2116 Relative absolute error 42.6785 % Root relative squared error 60.4707 % Total Number of Instances 5969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.744 0.033 0.788 0.744 0.766 0.963 chest 0.704 0.034 0.774 0.704 0.737 0.948 forearm 0.784 0.041 0.762 0.784 0.773 0.967 head 0.91 0.018 0.894 0.91 0.902 0.992 shin 0.816 0.034 0.798 0.816 0.807 0.97 thigh 0.736 0.039 0.76 0.736 0.748 0.962 upperarm 0.819 0.048 0.74 0.819 0.778 0.97 waist Weighted Avg. 0.788 0.035 0.788 0.788 0.787 0.967 === Confusion Matrix === a b c d e f g <-- classified as 635 23 26 17 24 62 66 | a = chest 33 598 74 2 25 36 81 | b = forearm 21 54 673 2 42 22 44 | c = head 12 6 0 775 20 33 6 | d = shin 30 25 22 19 696 33 28 | e = thigh 35 42 57 35 36 627 20 | f = upperarm 40 25 31 17 29 12 698 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4693 78.6361 % Incorrectly Classified Instances 1275 21.3639 % Kappa statistic 0.7508 Mean absolute error 0.1054 Root mean squared error 0.2122 Relative absolute error 43.0199 % Root relative squared error 60.6392 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.751 0.045 0.737 0.751 0.744 0.958 chest 0.695 0.034 0.77 0.695 0.731 0.956 forearm 0.768 0.035 0.785 0.768 0.776 0.962 head 0.919 0.015 0.912 0.919 0.915 0.993 shin 0.817 0.034 0.8 0.817 0.809 0.972 thigh 0.757 0.038 0.771 0.757 0.764 0.964 upperarm 0.797 0.048 0.732 0.797 0.763 0.964 waist Weighted Avg. 0.786 0.036 0.787 0.786 0.786 0.967 === Confusion Matrix === a b c d e f g <-- classified as 641 31 27 7 36 57 54 | a = chest 38 590 71 10 23 37 80 | b = forearm 29 39 658 3 37 41 50 | c = head 16 9 2 783 17 18 7 | d = shin 40 20 18 20 697 24 34 | e = thigh 53 42 32 26 31 645 23 | f = upperarm 53 35 30 10 30 15 679 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4784 80.1609 % Incorrectly Classified Instances 1184 19.8391 % Kappa statistic 0.7685 Mean absolute error 0.1021 Root mean squared error 0.2078 Relative absolute error 41.6771 % Root relative squared error 59.3718 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.77 0.038 0.771 0.77 0.771 0.963 chest 0.76 0.036 0.776 0.76 0.768 0.96 forearm 0.783 0.032 0.804 0.783 0.793 0.968 head 0.908 0.014 0.913 0.908 0.911 0.993 shin 0.83 0.033 0.808 0.83 0.819 0.972 thigh 0.745 0.03 0.803 0.745 0.773 0.965 upperarm 0.815 0.047 0.742 0.815 0.777 0.969 waist Weighted Avg. 0.802 0.033 0.802 0.802 0.802 0.97 === Confusion Matrix === a b c d e f g <-- classified as 657 28 13 13 34 45 63 | a = chest 34 645 59 3 30 25 53 | b = forearm 14 61 671 1 34 29 47 | c = head 14 7 2 774 17 25 13 | d = shin 36 18 16 17 708 19 39 | e = thigh 52 47 41 29 22 635 26 | f = upperarm 45 25 33 11 31 13 694 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4691 78.6025 % Incorrectly Classified Instances 1277 21.3975 % Kappa statistic 0.7504 Mean absolute error 0.1046 Root mean squared error 0.2111 Relative absolute error 42.719 % Root relative squared error 60.3157 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.742 0.042 0.746 0.742 0.744 0.958 chest 0.678 0.033 0.772 0.678 0.722 0.952 forearm 0.77 0.038 0.774 0.77 0.772 0.965 head 0.914 0.018 0.895 0.914 0.905 0.993 shin 0.824 0.035 0.796 0.824 0.81 0.971 thigh 0.745 0.032 0.795 0.745 0.769 0.966 upperarm 0.827 0.052 0.728 0.827 0.774 0.973 waist Weighted Avg. 0.786 0.036 0.787 0.786 0.785 0.968 === Confusion Matrix === a b c d e f g <-- classified as 633 19 23 19 39 50 70 | a = chest 41 576 78 9 28 36 81 | b = forearm 29 47 660 2 38 30 51 | c = head 8 5 5 779 24 21 10 | d = shin 47 20 18 15 703 21 29 | e = thigh 51 44 38 33 28 635 23 | f = upperarm 39 35 31 13 23 6 705 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4745 79.5074 % Incorrectly Classified Instances 1223 20.4926 % Kappa statistic 0.7609 Mean absolute error 0.1047 Root mean squared error 0.2105 Relative absolute error 42.7646 % Root relative squared error 60.1579 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.769 0.047 0.731 0.769 0.75 0.959 chest 0.695 0.029 0.797 0.695 0.743 0.954 forearm 0.805 0.038 0.781 0.805 0.793 0.969 head 0.912 0.014 0.915 0.912 0.914 0.991 shin 0.816 0.035 0.797 0.816 0.806 0.971 thigh 0.763 0.033 0.795 0.763 0.778 0.966 upperarm 0.805 0.043 0.756 0.805 0.78 0.97 waist Weighted Avg. 0.795 0.034 0.796 0.795 0.795 0.968 === Confusion Matrix === a b c d e f g <-- classified as 656 23 20 10 40 47 57 | a = chest 58 590 70 8 26 37 60 | b = forearm 18 41 690 5 33 29 41 | c = head 11 6 3 777 21 25 9 | d = shin 53 10 22 14 696 18 40 | e = thigh 54 37 43 23 30 650 15 | f = upperarm 47 33 35 12 27 12 686 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4729 79.2393 % Incorrectly Classified Instances 1239 20.7607 % Kappa statistic 0.7578 Mean absolute error 0.1041 Root mean squared error 0.211 Relative absolute error 42.4985 % Root relative squared error 60.2873 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.748 0.041 0.752 0.748 0.75 0.96 chest 0.72 0.029 0.802 0.72 0.759 0.957 forearm 0.786 0.037 0.782 0.786 0.784 0.967 head 0.909 0.016 0.903 0.909 0.906 0.993 shin 0.796 0.036 0.785 0.796 0.79 0.968 thigh 0.752 0.035 0.781 0.752 0.766 0.965 upperarm 0.836 0.047 0.747 0.836 0.789 0.969 waist Weighted Avg. 0.792 0.035 0.793 0.792 0.792 0.968 === Confusion Matrix === a b c d e f g <-- classified as 637 28 19 13 29 64 62 | a = chest 40 611 72 5 27 32 62 | b = forearm 31 37 674 4 36 30 45 | c = head 14 1 3 775 27 21 12 | d = shin 44 24 24 20 679 25 37 | e = thigh 48 38 38 23 41 641 23 | f = upperarm 33 23 32 18 26 8 712 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4638 77.7145 % Incorrectly Classified Instances 1330 22.2855 % Kappa statistic 0.74 Mean absolute error 0.1068 Root mean squared error 0.2151 Relative absolute error 43.6177 % Root relative squared error 61.4669 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.732 0.041 0.747 0.732 0.74 0.955 chest 0.697 0.039 0.748 0.697 0.722 0.953 forearm 0.762 0.038 0.769 0.762 0.766 0.963 head 0.891 0.014 0.912 0.891 0.902 0.991 shin 0.798 0.038 0.777 0.798 0.788 0.967 thigh 0.766 0.037 0.776 0.766 0.771 0.964 upperarm 0.792 0.052 0.717 0.792 0.753 0.964 waist Weighted Avg. 0.777 0.037 0.778 0.777 0.777 0.965 === Confusion Matrix === a b c d e f g <-- classified as 624 32 23 14 40 58 61 | a = chest 42 592 69 8 33 37 68 | b = forearm 23 44 653 0 48 27 62 | c = head 21 5 1 760 27 31 8 | d = shin 34 29 27 11 681 27 44 | e = thigh 43 43 31 28 30 653 24 | f = upperarm 48 46 45 12 17 9 675 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4723 79.1387 % Incorrectly Classified Instances 1245 20.8613 % Kappa statistic 0.7566 Mean absolute error 0.1034 Root mean squared error 0.2097 Relative absolute error 42.2131 % Root relative squared error 59.9238 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.748 0.04 0.758 0.748 0.753 0.96 chest 0.718 0.036 0.768 0.718 0.742 0.957 forearm 0.782 0.04 0.768 0.782 0.775 0.966 head 0.907 0.01 0.937 0.907 0.922 0.993 shin 0.812 0.031 0.814 0.812 0.813 0.975 thigh 0.756 0.039 0.764 0.756 0.76 0.96 upperarm 0.816 0.048 0.739 0.816 0.775 0.971 waist Weighted Avg. 0.791 0.035 0.793 0.791 0.792 0.969 === Confusion Matrix === a b c d e f g <-- classified as 638 24 22 8 37 58 66 | a = chest 44 609 71 4 20 42 58 | b = forearm 20 57 670 2 35 26 47 | c = head 13 4 4 774 13 34 11 | d = shin 40 24 20 14 693 31 31 | e = thigh 49 37 39 20 30 644 33 | f = upperarm 38 38 46 4 23 8 695 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4713 78.9712 % Incorrectly Classified Instances 1255 21.0288 % Kappa statistic 0.7547 Mean absolute error 0.1042 Root mean squared error 0.2107 Relative absolute error 42.5326 % Root relative squared error 60.2085 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.722 0.037 0.766 0.722 0.744 0.957 chest 0.703 0.035 0.769 0.703 0.734 0.957 forearm 0.778 0.041 0.761 0.778 0.769 0.964 head 0.912 0.014 0.914 0.912 0.913 0.991 shin 0.824 0.034 0.803 0.824 0.813 0.971 thigh 0.783 0.037 0.781 0.783 0.782 0.965 upperarm 0.805 0.048 0.737 0.805 0.769 0.968 waist Weighted Avg. 0.79 0.035 0.79 0.79 0.789 0.967 === Confusion Matrix === a b c d e f g <-- classified as 616 26 27 11 38 62 73 | a = chest 40 596 78 8 33 40 53 | b = forearm 22 52 667 2 42 28 44 | c = head 15 10 4 778 16 16 14 | d = shin 23 26 24 16 703 23 38 | e = thigh 53 34 28 21 26 667 23 | f = upperarm 35 31 49 15 18 18 686 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4694 78.6528 % Incorrectly Classified Instances 1274 21.3472 % Kappa statistic 0.751 Mean absolute error 0.1044 Root mean squared error 0.2113 Relative absolute error 42.6358 % Root relative squared error 60.396 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.74 0.037 0.77 0.74 0.754 0.967 chest 0.724 0.04 0.752 0.724 0.738 0.958 forearm 0.769 0.032 0.801 0.769 0.785 0.965 head 0.899 0.015 0.907 0.899 0.903 0.99 shin 0.788 0.037 0.781 0.788 0.785 0.961 thigh 0.769 0.042 0.753 0.769 0.761 0.963 upperarm 0.817 0.046 0.746 0.817 0.78 0.972 waist Weighted Avg. 0.787 0.036 0.787 0.787 0.786 0.968 === Confusion Matrix === a b c d e f g <-- classified as 631 24 16 15 42 64 61 | a = chest 29 615 64 6 28 44 63 | b = forearm 19 60 659 5 40 31 43 | c = head 17 7 1 767 18 33 10 | d = shin 42 36 21 14 672 28 40 | e = thigh 42 43 32 25 35 654 20 | f = upperarm 40 33 30 14 25 14 696 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 7 FOLD: 0 Correctly Classified Instances 4665 78.1538 % Incorrectly Classified Instances 1304 21.8462 % Kappa statistic 0.7451 Mean absolute error 0.1056 Root mean squared error 0.2125 Relative absolute error 43.1126 % Root relative squared error 60.7412 % Total Number of Instances 5969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.736 0.037 0.77 0.736 0.753 0.961 chest 0.708 0.035 0.771 0.708 0.738 0.956 forearm 0.774 0.041 0.761 0.774 0.767 0.967 head 0.906 0.018 0.896 0.906 0.901 0.992 shin 0.789 0.036 0.783 0.789 0.786 0.967 thigh 0.746 0.039 0.763 0.746 0.754 0.96 upperarm 0.811 0.05 0.731 0.811 0.769 0.969 waist Weighted Avg. 0.782 0.036 0.782 0.782 0.781 0.967 === Confusion Matrix === a b c d e f g <-- classified as 628 25 17 17 39 69 58 | a = chest 34 601 85 4 25 39 61 | b = forearm 19 48 664 3 47 28 49 | c = head 16 4 3 772 26 24 7 | d = shin 33 31 25 19 673 30 42 | e = thigh 47 33 41 33 25 636 37 | f = upperarm 39 38 38 14 24 8 691 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4746 79.5241 % Incorrectly Classified Instances 1222 20.4759 % Kappa statistic 0.7611 Mean absolute error 0.1017 Root mean squared error 0.2067 Relative absolute error 41.5098 % Root relative squared error 59.0794 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.742 0.038 0.764 0.742 0.753 0.959 chest 0.709 0.037 0.76 0.709 0.734 0.957 forearm 0.781 0.04 0.766 0.781 0.773 0.965 head 0.941 0.013 0.923 0.941 0.932 0.994 shin 0.811 0.029 0.823 0.811 0.817 0.976 thigh 0.752 0.036 0.777 0.752 0.764 0.964 upperarm 0.83 0.046 0.752 0.83 0.789 0.975 waist Weighted Avg. 0.795 0.034 0.795 0.795 0.795 0.97 === Confusion Matrix === a b c d e f g <-- classified as 632 26 23 12 31 67 61 | a = chest 36 602 82 6 26 30 67 | b = forearm 23 50 669 6 33 32 44 | c = head 10 9 1 803 9 13 8 | d = shin 47 24 16 15 692 29 30 | e = thigh 44 48 43 19 34 641 23 | f = upperarm 35 33 39 9 16 13 707 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4762 79.7922 % Incorrectly Classified Instances 1206 20.2078 % Kappa statistic 0.7642 Mean absolute error 0.1043 Root mean squared error 0.2093 Relative absolute error 42.5754 % Root relative squared error 59.8026 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.777 0.041 0.759 0.777 0.768 0.964 chest 0.71 0.034 0.774 0.71 0.741 0.956 forearm 0.793 0.033 0.802 0.793 0.798 0.97 head 0.905 0.013 0.919 0.905 0.912 0.993 shin 0.804 0.034 0.797 0.804 0.8 0.969 thigh 0.779 0.034 0.794 0.779 0.787 0.968 upperarm 0.816 0.046 0.746 0.816 0.779 0.969 waist Weighted Avg. 0.798 0.034 0.799 0.798 0.798 0.97 === Confusion Matrix === a b c d e f g <-- classified as 662 30 11 13 30 47 59 | a = chest 40 603 72 10 29 29 66 | b = forearm 22 49 680 2 32 22 50 | c = head 12 9 3 772 20 31 6 | d = shin 46 17 19 19 686 31 35 | e = thigh 51 39 32 19 26 664 21 | f = upperarm 39 32 31 5 38 12 695 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4684 78.4853 % Incorrectly Classified Instances 1284 21.5147 % Kappa statistic 0.749 Mean absolute error 0.1046 Root mean squared error 0.2116 Relative absolute error 42.7091 % Root relative squared error 60.4802 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.754 0.039 0.765 0.754 0.759 0.963 chest 0.703 0.04 0.746 0.703 0.724 0.952 forearm 0.743 0.039 0.764 0.743 0.753 0.961 head 0.918 0.016 0.907 0.918 0.913 0.992 shin 0.811 0.031 0.812 0.811 0.812 0.97 thigh 0.749 0.037 0.773 0.749 0.761 0.963 upperarm 0.816 0.051 0.729 0.816 0.77 0.97 waist Weighted Avg. 0.785 0.036 0.785 0.785 0.784 0.967 === Confusion Matrix === a b c d e f g <-- classified as 643 26 21 12 38 62 51 | a = chest 46 596 72 8 23 32 71 | b = forearm 24 63 637 2 41 34 56 | c = head 6 5 2 783 18 27 12 | d = shin 41 21 20 11 692 23 45 | e = thigh 44 44 44 29 29 638 24 | f = upperarm 37 44 38 18 11 9 695 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4727 79.2058 % Incorrectly Classified Instances 1241 20.7942 % Kappa statistic 0.7574 Mean absolute error 0.1031 Root mean squared error 0.2095 Relative absolute error 42.1003 % Root relative squared error 59.8758 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.755 0.038 0.768 0.755 0.761 0.962 chest 0.713 0.035 0.774 0.713 0.742 0.957 forearm 0.755 0.038 0.77 0.755 0.763 0.964 head 0.906 0.013 0.918 0.906 0.912 0.992 shin 0.83 0.036 0.792 0.83 0.811 0.973 thigh 0.768 0.033 0.794 0.768 0.78 0.964 upperarm 0.817 0.049 0.735 0.817 0.774 0.971 waist Weighted Avg. 0.792 0.035 0.793 0.792 0.792 0.969 === Confusion Matrix === a b c d e f g <-- classified as 644 27 22 9 39 40 72 | a = chest 38 605 67 3 30 49 56 | b = forearm 30 57 647 3 38 28 54 | c = head 9 6 4 773 22 23 16 | d = shin 43 14 14 16 708 22 36 | e = thigh 41 44 38 29 29 654 17 | f = upperarm 34 29 48 9 28 8 696 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4647 77.8653 % Incorrectly Classified Instances 1321 22.1347 % Kappa statistic 0.7418 Mean absolute error 0.1062 Root mean squared error 0.2141 Relative absolute error 43.361 % Root relative squared error 61.1811 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.74 0.042 0.744 0.74 0.742 0.956 chest 0.662 0.038 0.744 0.662 0.701 0.947 forearm 0.774 0.039 0.771 0.774 0.772 0.964 head 0.891 0.015 0.907 0.891 0.899 0.992 shin 0.811 0.038 0.779 0.811 0.795 0.971 thigh 0.737 0.037 0.768 0.737 0.752 0.962 upperarm 0.836 0.049 0.739 0.836 0.785 0.974 waist Weighted Avg. 0.779 0.037 0.779 0.779 0.778 0.967 === Confusion Matrix === a b c d e f g <-- classified as 631 28 24 15 41 58 56 | a = chest 57 562 76 3 37 40 74 | b = forearm 19 52 663 4 37 36 46 | c = head 28 8 6 760 18 23 10 | d = shin 35 22 20 17 692 25 42 | e = thigh 44 46 40 32 39 627 23 | f = upperarm 34 37 31 7 24 7 712 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4718 79.055 % Incorrectly Classified Instances 1250 20.945 % Kappa statistic 0.7556 Mean absolute error 0.104 Root mean squared error 0.2104 Relative absolute error 42.4622 % Root relative squared error 60.1159 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.732 0.037 0.768 0.732 0.749 0.96 chest 0.715 0.036 0.769 0.715 0.741 0.961 forearm 0.785 0.036 0.783 0.785 0.784 0.967 head 0.913 0.015 0.912 0.913 0.913 0.992 shin 0.816 0.034 0.801 0.816 0.808 0.971 thigh 0.776 0.036 0.784 0.776 0.78 0.965 upperarm 0.797 0.051 0.721 0.797 0.757 0.967 waist Weighted Avg. 0.791 0.035 0.791 0.791 0.79 0.969 === Confusion Matrix === a b c d e f g <-- classified as 624 32 16 14 40 59 68 | a = chest 23 607 83 6 20 36 74 | b = forearm 24 44 673 2 39 27 48 | c = head 10 6 1 778 22 27 8 | d = shin 44 22 15 17 696 16 43 | e = thigh 47 43 31 23 25 661 22 | f = upperarm 41 35 40 13 27 17 679 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4719 79.0717 % Incorrectly Classified Instances 1249 20.9283 % Kappa statistic 0.7558 Mean absolute error 0.1052 Root mean squared error 0.2119 Relative absolute error 42.9622 % Root relative squared error 60.5446 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.739 0.047 0.725 0.739 0.732 0.952 chest 0.723 0.034 0.781 0.723 0.751 0.955 forearm 0.793 0.033 0.802 0.793 0.798 0.967 head 0.919 0.015 0.913 0.919 0.916 0.993 shin 0.798 0.031 0.811 0.798 0.804 0.968 thigh 0.773 0.035 0.785 0.773 0.779 0.965 upperarm 0.789 0.05 0.725 0.789 0.755 0.965 waist Weighted Avg. 0.791 0.035 0.792 0.791 0.791 0.966 === Confusion Matrix === a b c d e f g <-- classified as 630 26 30 11 37 52 67 | a = chest 45 614 55 4 29 39 63 | b = forearm 16 42 680 5 23 35 56 | c = head 9 5 1 783 17 27 10 | d = shin 48 25 25 15 681 21 38 | e = thigh 59 35 23 24 31 659 21 | f = upperarm 62 39 34 16 22 7 672 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4686 78.5188 % Incorrectly Classified Instances 1282 21.4812 % Kappa statistic 0.7494 Mean absolute error 0.1052 Root mean squared error 0.2128 Relative absolute error 42.946 % Root relative squared error 60.8082 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.734 0.042 0.743 0.734 0.739 0.96 chest 0.716 0.03 0.798 0.716 0.755 0.959 forearm 0.796 0.043 0.754 0.796 0.775 0.964 head 0.9 0.015 0.908 0.9 0.904 0.991 shin 0.794 0.035 0.792 0.794 0.793 0.965 thigh 0.761 0.035 0.785 0.761 0.773 0.965 upperarm 0.796 0.05 0.725 0.796 0.759 0.964 waist Weighted Avg. 0.785 0.036 0.787 0.785 0.785 0.967 === Confusion Matrix === a b c d e f g <-- classified as 626 24 24 14 36 56 73 | a = chest 33 608 78 7 24 25 74 | b = forearm 21 45 682 1 43 23 42 | c = head 18 7 3 767 21 28 8 | d = shin 46 17 33 13 677 31 36 | e = thigh 56 36 41 20 27 648 24 | f = upperarm 42 25 43 23 27 14 678 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4690 78.5858 % Incorrectly Classified Instances 1278 21.4142 % Kappa statistic 0.7502 Mean absolute error 0.1042 Root mean squared error 0.2117 Relative absolute error 42.5286 % Root relative squared error 60.4884 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.734 0.039 0.758 0.734 0.746 0.961 chest 0.682 0.032 0.777 0.682 0.726 0.952 forearm 0.798 0.038 0.778 0.798 0.788 0.969 head 0.892 0.012 0.923 0.892 0.907 0.992 shin 0.816 0.034 0.799 0.816 0.807 0.97 thigh 0.761 0.039 0.764 0.761 0.762 0.964 upperarm 0.818 0.055 0.714 0.818 0.763 0.969 waist Weighted Avg. 0.786 0.036 0.788 0.786 0.786 0.968 === Confusion Matrix === a b c d e f g <-- classified as 626 27 24 5 34 67 70 | a = chest 52 579 70 4 27 38 79 | b = forearm 18 42 684 3 39 29 42 | c = head 16 6 3 760 24 33 10 | d = shin 33 18 24 15 696 18 49 | e = thigh 43 39 36 24 33 648 29 | f = upperarm 38 34 38 12 18 15 697 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 8 FOLD: 0 Correctly Classified Instances 4734 79.3098 % Incorrectly Classified Instances 1235 20.6902 % Kappa statistic 0.7586 Mean absolute error 0.1036 Root mean squared error 0.2091 Relative absolute error 42.2913 % Root relative squared error 59.7507 % Total Number of Instances 5969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.731 0.037 0.769 0.731 0.75 0.961 chest 0.718 0.032 0.79 0.718 0.753 0.96 forearm 0.804 0.042 0.763 0.804 0.783 0.971 head 0.892 0.013 0.918 0.892 0.905 0.992 shin 0.789 0.032 0.806 0.789 0.797 0.969 thigh 0.786 0.037 0.78 0.786 0.783 0.968 upperarm 0.83 0.049 0.736 0.83 0.78 0.972 waist Weighted Avg. 0.793 0.034 0.795 0.793 0.793 0.97 === Confusion Matrix === a b c d e f g <-- classified as 623 35 19 13 36 60 66 | a = chest 42 610 80 2 15 40 60 | b = forearm 17 38 690 0 40 30 43 | c = head 12 4 2 761 32 22 20 | d = shin 35 20 26 25 673 31 43 | e = thigh 42 37 41 18 23 670 21 | f = upperarm 39 28 46 10 16 6 707 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4715 79.0047 % Incorrectly Classified Instances 1253 20.9953 % Kappa statistic 0.7551 Mean absolute error 0.1034 Root mean squared error 0.2102 Relative absolute error 42.2389 % Root relative squared error 60.0588 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.764 0.041 0.757 0.764 0.761 0.964 chest 0.71 0.036 0.765 0.71 0.736 0.954 forearm 0.771 0.038 0.774 0.771 0.773 0.964 head 0.924 0.015 0.912 0.924 0.918 0.992 shin 0.818 0.031 0.814 0.818 0.816 0.972 thigh 0.759 0.033 0.791 0.759 0.775 0.964 upperarm 0.783 0.051 0.72 0.783 0.75 0.965 waist Weighted Avg. 0.79 0.035 0.79 0.79 0.79 0.968 === Confusion Matrix === a b c d e f g <-- classified as 652 27 16 6 28 52 72 | a = chest 37 602 72 8 24 41 64 | b = forearm 18 59 661 4 40 20 55 | c = head 12 7 3 788 11 23 9 | d = shin 47 14 20 16 698 24 34 | e = thigh 51 42 37 20 30 647 25 | f = upperarm 44 36 45 22 27 11 667 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4726 79.189 % Incorrectly Classified Instances 1242 20.811 % Kappa statistic 0.7572 Mean absolute error 0.1036 Root mean squared error 0.2103 Relative absolute error 42.3222 % Root relative squared error 60.0982 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.749 0.044 0.741 0.749 0.745 0.959 chest 0.699 0.032 0.783 0.699 0.739 0.952 forearm 0.761 0.037 0.774 0.761 0.768 0.965 head 0.919 0.013 0.919 0.919 0.919 0.994 shin 0.826 0.036 0.795 0.826 0.81 0.969 thigh 0.763 0.033 0.793 0.763 0.778 0.966 upperarm 0.825 0.048 0.742 0.825 0.782 0.972 waist Weighted Avg. 0.792 0.035 0.793 0.792 0.791 0.968 === Confusion Matrix === a b c d e f g <-- classified as 639 20 24 16 49 51 54 | a = chest 48 593 70 5 31 33 68 | b = forearm 27 53 652 1 40 26 58 | c = head 12 5 5 784 14 25 8 | d = shin 43 17 19 14 705 24 31 | e = thigh 51 38 40 20 28 650 25 | f = upperarm 42 31 32 13 20 11 703 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4701 78.7701 % Incorrectly Classified Instances 1267 21.2299 % Kappa statistic 0.7523 Mean absolute error 0.1049 Root mean squared error 0.2122 Relative absolute error 42.8528 % Root relative squared error 60.643 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.744 0.042 0.748 0.744 0.746 0.957 chest 0.702 0.03 0.794 0.702 0.745 0.953 forearm 0.776 0.035 0.789 0.776 0.782 0.96 head 0.909 0.016 0.902 0.909 0.905 0.992 shin 0.808 0.038 0.779 0.808 0.793 0.968 thigh 0.763 0.036 0.777 0.763 0.77 0.967 upperarm 0.812 0.05 0.732 0.812 0.77 0.971 waist Weighted Avg. 0.788 0.035 0.789 0.788 0.787 0.967 === Confusion Matrix === a b c d e f g <-- classified as 635 24 23 17 34 58 62 | a = chest 38 596 70 9 34 35 67 | b = forearm 28 36 665 4 40 28 56 | c = head 12 5 4 775 24 25 8 | d = shin 39 18 22 16 689 25 44 | e = thigh 51 42 25 29 38 649 17 | f = upperarm 46 30 34 9 26 15 692 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4728 79.2225 % Incorrectly Classified Instances 1240 20.7775 % Kappa statistic 0.7576 Mean absolute error 0.1045 Root mean squared error 0.2102 Relative absolute error 42.6831 % Root relative squared error 60.0746 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.766 0.038 0.773 0.766 0.769 0.965 chest 0.7 0.035 0.77 0.7 0.733 0.957 forearm 0.785 0.038 0.776 0.785 0.781 0.967 head 0.91 0.016 0.905 0.91 0.907 0.992 shin 0.807 0.036 0.787 0.807 0.797 0.974 thigh 0.771 0.033 0.796 0.771 0.784 0.964 upperarm 0.808 0.047 0.74 0.808 0.772 0.97 waist Weighted Avg. 0.792 0.035 0.793 0.792 0.792 0.97 === Confusion Matrix === a b c d e f g <-- classified as 653 21 25 14 42 42 56 | a = chest 33 594 79 7 34 41 61 | b = forearm 19 56 673 2 38 20 49 | c = head 15 6 1 775 19 27 9 | d = shin 37 17 18 22 688 27 44 | e = thigh 48 41 31 22 30 657 23 | f = upperarm 40 36 40 14 23 11 688 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4677 78.368 % Incorrectly Classified Instances 1291 21.632 % Kappa statistic 0.7476 Mean absolute error 0.1057 Root mean squared error 0.2133 Relative absolute error 43.1636 % Root relative squared error 60.9415 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.736 0.042 0.745 0.736 0.741 0.956 chest 0.702 0.037 0.758 0.702 0.729 0.951 forearm 0.779 0.035 0.791 0.779 0.785 0.966 head 0.905 0.014 0.914 0.905 0.909 0.991 shin 0.81 0.035 0.793 0.81 0.802 0.969 thigh 0.757 0.04 0.76 0.757 0.758 0.96 upperarm 0.796 0.049 0.729 0.796 0.761 0.967 waist Weighted Avg. 0.784 0.036 0.784 0.784 0.784 0.966 === Confusion Matrix === a b c d e f g <-- classified as 628 30 23 7 41 53 71 | a = chest 37 596 70 7 22 52 65 | b = forearm 28 41 668 1 42 39 38 | c = head 17 8 1 771 16 29 10 | d = shin 37 27 23 17 691 15 43 | e = thigh 48 40 32 29 33 645 25 | f = upperarm 48 44 28 12 26 16 678 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4689 78.569 % Incorrectly Classified Instances 1279 21.431 % Kappa statistic 0.75 Mean absolute error 0.1045 Root mean squared error 0.2115 Relative absolute error 42.6831 % Root relative squared error 60.4514 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.743 0.04 0.756 0.743 0.749 0.959 chest 0.683 0.036 0.76 0.683 0.72 0.95 forearm 0.79 0.041 0.766 0.79 0.778 0.964 head 0.914 0.014 0.915 0.914 0.915 0.994 shin 0.808 0.034 0.799 0.808 0.803 0.968 thigh 0.75 0.037 0.77 0.75 0.76 0.963 upperarm 0.811 0.048 0.736 0.811 0.772 0.97 waist Weighted Avg. 0.786 0.036 0.786 0.786 0.785 0.967 === Confusion Matrix === a b c d e f g <-- classified as 634 31 18 10 29 70 61 | a = chest 49 580 77 8 35 27 73 | b = forearm 26 51 677 4 36 27 36 | c = head 13 4 1 779 13 30 12 | d = shin 36 27 22 11 689 30 38 | e = thigh 49 32 46 24 34 639 28 | f = upperarm 32 38 43 15 26 7 691 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4743 79.4739 % Incorrectly Classified Instances 1225 20.5261 % Kappa statistic 0.7605 Mean absolute error 0.1034 Root mean squared error 0.21 Relative absolute error 42.2356 % Root relative squared error 60.0109 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.746 0.041 0.753 0.746 0.749 0.96 chest 0.723 0.035 0.776 0.723 0.749 0.958 forearm 0.799 0.032 0.806 0.799 0.803 0.968 head 0.896 0.013 0.917 0.896 0.906 0.988 shin 0.81 0.029 0.826 0.81 0.818 0.976 thigh 0.751 0.039 0.761 0.751 0.756 0.962 upperarm 0.838 0.05 0.735 0.838 0.783 0.969 waist Weighted Avg. 0.795 0.034 0.796 0.795 0.795 0.969 === Confusion Matrix === a b c d e f g <-- classified as 636 21 18 12 27 64 75 | a = chest 39 614 59 6 19 37 75 | b = forearm 23 46 685 2 30 30 41 | c = head 15 6 2 763 27 36 3 | d = shin 49 12 20 16 691 25 40 | e = thigh 45 56 36 24 27 640 24 | f = upperarm 38 36 30 9 16 9 714 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4654 77.9826 % Incorrectly Classified Instances 1314 22.0174 % Kappa statistic 0.7431 Mean absolute error 0.1055 Root mean squared error 0.2126 Relative absolute error 43.077 % Root relative squared error 60.7527 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.742 0.043 0.741 0.742 0.742 0.962 chest 0.684 0.033 0.776 0.684 0.727 0.953 forearm 0.774 0.036 0.784 0.774 0.779 0.967 head 0.898 0.014 0.912 0.898 0.905 0.992 shin 0.819 0.042 0.765 0.819 0.791 0.968 thigh 0.743 0.036 0.776 0.743 0.759 0.961 upperarm 0.798 0.053 0.716 0.798 0.755 0.967 waist Weighted Avg. 0.78 0.037 0.781 0.78 0.78 0.967 === Confusion Matrix === a b c d e f g <-- classified as 633 27 16 9 35 58 75 | a = chest 40 581 73 5 43 33 74 | b = forearm 15 47 663 1 50 34 47 | c = head 19 7 4 765 25 24 8 | d = shin 39 16 18 11 699 25 45 | e = thigh 57 42 37 27 35 633 21 | f = upperarm 51 29 35 21 27 9 680 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4722 79.122 % Incorrectly Classified Instances 1246 20.878 % Kappa statistic 0.7564 Mean absolute error 0.1025 Root mean squared error 0.2087 Relative absolute error 41.8583 % Root relative squared error 59.6429 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.745 0.037 0.77 0.745 0.757 0.96 chest 0.722 0.034 0.778 0.722 0.749 0.961 forearm 0.76 0.039 0.768 0.76 0.764 0.965 head 0.909 0.016 0.905 0.909 0.907 0.993 shin 0.815 0.033 0.803 0.815 0.809 0.972 thigh 0.782 0.037 0.777 0.782 0.779 0.966 upperarm 0.806 0.047 0.74 0.806 0.772 0.97 waist Weighted Avg. 0.791 0.035 0.792 0.791 0.791 0.97 === Confusion Matrix === a b c d e f g <-- classified as 635 28 17 14 26 71 61 | a = chest 39 613 76 7 23 23 68 | b = forearm 20 54 651 6 44 36 46 | c = head 13 6 2 775 24 23 10 | d = shin 49 17 21 15 695 22 34 | e = thigh 34 40 37 27 26 666 22 | f = upperarm 35 30 44 12 28 16 687 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 9 FOLD: 0 Correctly Classified Instances 4645 77.8187 % Incorrectly Classified Instances 1324 22.1813 % Kappa statistic 0.7412 Mean absolute error 0.1056 Root mean squared error 0.2133 Relative absolute error 43.103 % Root relative squared error 60.956 % Total Number of Instances 5969 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.742 0.043 0.741 0.742 0.741 0.957 chest 0.684 0.035 0.766 0.684 0.723 0.951 forearm 0.753 0.04 0.759 0.753 0.756 0.96 head 0.918 0.017 0.901 0.918 0.909 0.992 shin 0.815 0.035 0.793 0.815 0.804 0.968 thigh 0.742 0.035 0.778 0.742 0.76 0.962 upperarm 0.793 0.054 0.712 0.793 0.75 0.967 waist Weighted Avg. 0.778 0.037 0.779 0.778 0.778 0.965 === Confusion Matrix === a b c d e f g <-- classified as 632 27 14 14 32 69 64 | a = chest 44 581 76 5 26 36 81 | b = forearm 29 54 646 3 50 26 50 | c = head 15 8 3 783 12 16 16 | d = shin 33 12 31 16 695 24 42 | e = thigh 44 40 48 31 36 632 21 | f = upperarm 56 36 33 17 25 9 676 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4749 79.5744 % Incorrectly Classified Instances 1219 20.4256 % Kappa statistic 0.7617 Mean absolute error 0.1034 Root mean squared error 0.2091 Relative absolute error 42.2051 % Root relative squared error 59.7514 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.775 0.039 0.766 0.775 0.77 0.966 chest 0.703 0.035 0.769 0.703 0.735 0.955 forearm 0.795 0.039 0.772 0.795 0.783 0.965 head 0.925 0.014 0.918 0.925 0.922 0.996 shin 0.811 0.034 0.8 0.811 0.806 0.972 thigh 0.754 0.031 0.8 0.754 0.776 0.962 upperarm 0.808 0.046 0.746 0.808 0.776 0.97 waist Weighted Avg. 0.796 0.034 0.796 0.796 0.795 0.969 === Confusion Matrix === a b c d e f g <-- classified as 661 26 15 15 34 45 57 | a = chest 31 597 74 4 33 40 70 | b = forearm 20 45 681 2 36 24 49 | c = head 14 6 0 788 17 25 2 | d = shin 43 26 27 11 692 19 35 | e = thigh 47 45 40 28 29 642 21 | f = upperarm 47 31 45 10 24 7 688 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4715 79.0047 % Incorrectly Classified Instances 1253 20.9953 % Kappa statistic 0.7551 Mean absolute error 0.1046 Root mean squared error 0.2107 Relative absolute error 42.7007 % Root relative squared error 60.2036 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.728 0.041 0.747 0.728 0.738 0.958 chest 0.722 0.035 0.774 0.722 0.747 0.957 forearm 0.758 0.035 0.785 0.758 0.772 0.964 head 0.912 0.012 0.926 0.912 0.919 0.993 shin 0.817 0.03 0.82 0.817 0.819 0.976 thigh 0.773 0.038 0.771 0.773 0.772 0.965 upperarm 0.819 0.054 0.717 0.819 0.765 0.969 waist Weighted Avg. 0.79 0.035 0.792 0.79 0.79 0.969 === Confusion Matrix === a b c d e f g <-- classified as 621 20 19 10 37 62 84 | a = chest 36 613 68 4 28 37 63 | b = forearm 28 56 650 5 26 33 59 | c = head 12 7 5 777 17 25 9 | d = shin 41 14 21 14 697 27 39 | e = thigh 54 47 32 19 20 659 21 | f = upperarm 39 35 33 10 25 12 698 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4760 79.7587 % Incorrectly Classified Instances 1208 20.2413 % Kappa statistic 0.7638 Mean absolute error 0.1029 Root mean squared error 0.2082 Relative absolute error 42.0305 % Root relative squared error 59.5011 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.768 0.039 0.767 0.768 0.767 0.964 chest 0.704 0.032 0.783 0.704 0.741 0.955 forearm 0.811 0.033 0.803 0.811 0.807 0.971 head 0.91 0.014 0.914 0.91 0.912 0.992 shin 0.824 0.033 0.805 0.824 0.815 0.972 thigh 0.745 0.034 0.786 0.745 0.765 0.965 upperarm 0.82 0.05 0.732 0.82 0.774 0.97 waist Weighted Avg. 0.798 0.034 0.798 0.798 0.797 0.97 === Confusion Matrix === a b c d e f g <-- classified as 655 24 19 12 35 47 61 | a = chest 36 598 65 9 24 42 75 | b = forearm 24 46 695 2 28 27 35 | c = head 9 4 2 775 25 25 12 | d = shin 33 22 14 11 703 25 45 | e = thigh 49 39 36 25 40 635 28 | f = upperarm 48 31 35 14 18 7 699 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4695 78.6696 % Incorrectly Classified Instances 1273 21.3304 % Kappa statistic 0.7511 Mean absolute error 0.1047 Root mean squared error 0.2111 Relative absolute error 42.7613 % Root relative squared error 60.3208 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.746 0.042 0.748 0.746 0.747 0.959 chest 0.703 0.034 0.773 0.703 0.737 0.953 forearm 0.781 0.031 0.809 0.781 0.795 0.972 head 0.896 0.016 0.903 0.896 0.899 0.991 shin 0.807 0.038 0.78 0.807 0.793 0.967 thigh 0.765 0.039 0.766 0.765 0.766 0.964 upperarm 0.81 0.049 0.733 0.81 0.77 0.969 waist Weighted Avg. 0.787 0.036 0.788 0.787 0.787 0.968 === Confusion Matrix === a b c d e f g <-- classified as 636 28 15 14 37 62 61 | a = chest 43 597 57 5 35 42 70 | b = forearm 20 48 669 6 39 30 45 | c = head 18 10 1 763 18 30 12 | d = shin 41 21 26 20 688 20 37 | e = thigh 42 36 24 28 44 652 26 | f = upperarm 50 32 35 9 21 15 690 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4649 77.8988 % Incorrectly Classified Instances 1319 22.1012 % Kappa statistic 0.7421 Mean absolute error 0.1058 Root mean squared error 0.2136 Relative absolute error 43.2125 % Root relative squared error 61.0322 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.716 0.041 0.744 0.716 0.73 0.954 chest 0.704 0.035 0.77 0.704 0.736 0.958 forearm 0.762 0.043 0.747 0.762 0.754 0.96 head 0.907 0.016 0.905 0.907 0.906 0.993 shin 0.796 0.038 0.776 0.796 0.786 0.965 thigh 0.752 0.034 0.785 0.752 0.768 0.966 upperarm 0.815 0.05 0.731 0.815 0.77 0.969 waist Weighted Avg. 0.779 0.037 0.78 0.779 0.779 0.966 === Confusion Matrix === a b c d e f g <-- classified as 611 33 24 14 42 62 67 | a = chest 30 598 85 5 29 32 70 | b = forearm 30 41 653 5 45 27 56 | c = head 13 9 2 773 24 26 5 | d = shin 45 20 30 20 679 22 37 | e = thigh 49 40 45 25 31 641 21 | f = upperarm 43 36 35 12 25 7 694 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4746 79.5241 % Incorrectly Classified Instances 1222 20.4759 % Kappa statistic 0.7611 Mean absolute error 0.1025 Root mean squared error 0.2085 Relative absolute error 41.8493 % Root relative squared error 59.5947 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.756 0.038 0.769 0.756 0.762 0.962 chest 0.71 0.036 0.765 0.71 0.736 0.957 forearm 0.802 0.036 0.789 0.802 0.795 0.969 head 0.903 0.013 0.922 0.903 0.912 0.992 shin 0.816 0.03 0.817 0.816 0.816 0.973 thigh 0.758 0.038 0.767 0.758 0.763 0.964 upperarm 0.822 0.047 0.743 0.822 0.78 0.97 waist Weighted Avg. 0.795 0.034 0.796 0.795 0.795 0.97 === Confusion Matrix === a b c d e f g <-- classified as 645 24 25 11 36 68 44 | a = chest 43 602 66 6 21 30 80 | b = forearm 17 55 687 0 34 25 39 | c = head 9 5 0 770 20 35 14 | d = shin 40 22 21 14 696 21 39 | e = thigh 49 47 38 17 29 646 26 | f = upperarm 36 32 34 17 16 17 700 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4693 78.6361 % Incorrectly Classified Instances 1275 21.3639 % Kappa statistic 0.7508 Mean absolute error 0.1054 Root mean squared error 0.2118 Relative absolute error 43.032 % Root relative squared error 60.5407 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.743 0.041 0.753 0.743 0.748 0.961 chest 0.711 0.033 0.781 0.711 0.744 0.954 forearm 0.77 0.04 0.766 0.77 0.768 0.968 head 0.902 0.016 0.903 0.902 0.902 0.991 shin 0.801 0.033 0.801 0.801 0.801 0.969 thigh 0.755 0.034 0.786 0.755 0.77 0.963 upperarm 0.823 0.052 0.723 0.823 0.77 0.969 waist Weighted Avg. 0.786 0.036 0.788 0.786 0.786 0.968 === Confusion Matrix === a b c d e f g <-- classified as 634 28 21 8 37 53 72 | a = chest 46 603 73 7 28 42 49 | b = forearm 20 53 660 3 39 20 62 | c = head 18 7 0 769 16 24 19 | d = shin 36 26 20 25 683 24 39 | e = thigh 50 34 41 29 28 643 27 | f = upperarm 38 21 47 11 22 12 701 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4675 78.3345 % Incorrectly Classified Instances 1293 21.6655 % Kappa statistic 0.7472 Mean absolute error 0.1046 Root mean squared error 0.2123 Relative absolute error 42.72 % Root relative squared error 60.6736 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.736 0.038 0.763 0.736 0.749 0.962 chest 0.693 0.038 0.753 0.693 0.721 0.954 forearm 0.781 0.039 0.771 0.781 0.776 0.962 head 0.904 0.017 0.9 0.904 0.902 0.991 shin 0.809 0.035 0.795 0.809 0.802 0.969 thigh 0.766 0.039 0.764 0.766 0.765 0.966 upperarm 0.795 0.047 0.737 0.795 0.765 0.969 waist Weighted Avg. 0.783 0.036 0.783 0.783 0.783 0.967 === Confusion Matrix === a b c d e f g <-- classified as 628 33 19 14 41 59 59 | a = chest 33 588 80 8 28 45 67 | b = forearm 22 48 669 6 37 32 43 | c = head 12 5 6 771 25 28 6 | d = shin 46 21 13 14 690 27 42 | e = thigh 46 44 34 27 24 652 24 | f = upperarm 36 42 47 17 23 10 677 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4736 79.3566 % Incorrectly Classified Instances 1232 20.6434 % Kappa statistic 0.7592 Mean absolute error 0.1036 Root mean squared error 0.2102 Relative absolute error 42.2902 % Root relative squared error 60.0621 % Total Number of Instances 5968 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.742 0.04 0.756 0.742 0.749 0.96 chest 0.701 0.03 0.797 0.701 0.746 0.953 forearm 0.778 0.038 0.774 0.778 0.776 0.966 head 0.909 0.015 0.909 0.909 0.909 0.991 shin 0.821 0.035 0.797 0.821 0.809 0.971 thigh 0.779 0.038 0.775 0.779 0.777 0.965 upperarm 0.825 0.045 0.752 0.825 0.787 0.971 waist Weighted Avg. 0.794 0.034 0.794 0.794 0.793 0.968 === Confusion Matrix === a b c d e f g <-- classified as 632 17 29 17 39 54 64 | a = chest 44 595 72 9 29 31 69 | b = forearm 20 49 667 3 39 34 45 | c = head 15 2 5 775 16 33 7 | d = shin 42 14 19 14 700 32 32 | e = thigh 43 43 34 25 28 664 15 | f = upperarm 40 27 36 10 27 9 703 | g = waist ------------------------------------------------------------------------------------------------------ SUBJECT: 14 RUN: 0 FOLD: 0 Correctly Classified Instances 4715 85.0622 % Incorrectly Classified Instances 828 14.9378 % Kappa statistic 0.8257 Mean absolute error 0.0783 Root mean squared error 0.1787 Relative absolute error 31.9854 % Root relative squared error 51.0648 % Total Number of Instances 5543 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.834 0.031 0.82 0.834 0.827 0.983 chest 0.825 0.031 0.817 0.825 0.821 0.983 forearm 0.888 0.023 0.864 0.888 0.876 0.99 head 0.878 0.009 0.942 0.878 0.908 0.988 shin 0.851 0.022 0.865 0.851 0.858 0.985 thigh 0.782 0.032 0.801 0.782 0.791 0.974 upperarm 0.897 0.026 0.851 0.897 0.873 0.99 waist Weighted Avg. 0.851 0.025 0.851 0.851 0.851 0.985 === Confusion Matrix === a b c d e f g <-- classified as 660 20 9 3 23 57 19 | a = chest 15 650 39 15 7 6 56 | b = forearm 13 29 704 1 6 30 10 | c = head 11 37 13 695 21 6 9 | d = shin 24 12 7 18 675 42 15 | e = thigh 71 12 37 6 32 620 15 | f = upperarm 11 36 6 0 16 13 711 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4737 85.4591 % Incorrectly Classified Instances 806 14.5409 % Kappa statistic 0.8304 Mean absolute error 0.0778 Root mean squared error 0.1782 Relative absolute error 31.7795 % Root relative squared error 50.9303 % Total Number of Instances 5543 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.857 0.03 0.827 0.857 0.842 0.983 chest 0.831 0.032 0.813 0.831 0.822 0.98 forearm 0.897 0.021 0.875 0.897 0.885 0.99 head 0.879 0.009 0.944 0.879 0.91 0.991 shin 0.861 0.023 0.865 0.861 0.863 0.989 thigh 0.782 0.033 0.799 0.782 0.79 0.975 upperarm 0.875 0.023 0.866 0.875 0.871 0.99 waist Weighted Avg. 0.855 0.024 0.856 0.855 0.855 0.985 === Confusion Matrix === a b c d e f g <-- classified as 678 14 9 2 17 63 8 | a = chest 13 655 39 10 9 6 56 | b = forearm 11 27 711 1 6 29 8 | c = head 12 39 6 696 26 6 7 | d = shin 22 4 6 16 683 45 17 | e = thigh 69 18 33 8 34 620 11 | f = upperarm 15 49 9 4 15 7 694 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4771 86.0725 % Incorrectly Classified Instances 772 13.9275 % Kappa statistic 0.8375 Mean absolute error 0.0771 Root mean squared error 0.1769 Relative absolute error 31.4695 % Root relative squared error 50.5469 % Total Number of Instances 5543 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.852 0.028 0.836 0.852 0.844 0.985 chest 0.84 0.024 0.854 0.84 0.847 0.984 forearm 0.878 0.023 0.867 0.878 0.872 0.987 head 0.891 0.011 0.93 0.891 0.91 0.987 shin 0.864 0.023 0.864 0.864 0.864 0.988 thigh 0.796 0.028 0.825 0.796 0.81 0.976 upperarm 0.904 0.026 0.852 0.904 0.877 0.99 waist Weighted Avg. 0.861 0.023 0.861 0.861 0.861 0.985 === Confusion Matrix === a b c d e f g <-- classified as 674 15 7 3 25 54 13 | a = chest 13 662 37 13 5 3 55 | b = forearm 12 25 696 3 4 33 20 | c = head 13 29 9 705 20 8 7 | d = shin 27 9 6 17 685 30 19 | e = thigh 53 7 40 13 38 632 11 | f = upperarm 14 28 8 4 16 6 717 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4759 85.8715 % Incorrectly Classified Instances 783 14.1285 % Kappa statistic 0.8352 Mean absolute error 0.0761 Root mean squared error 0.1758 Relative absolute error 31.0651 % Root relative squared error 50.2394 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.861 0.029 0.833 0.861 0.846 0.986 chest 0.833 0.026 0.842 0.833 0.837 0.984 forearm 0.886 0.025 0.853 0.886 0.869 0.989 head 0.889 0.009 0.94 0.889 0.914 0.991 shin 0.887 0.022 0.871 0.887 0.879 0.99 thigh 0.796 0.031 0.81 0.796 0.803 0.977 upperarm 0.86 0.022 0.867 0.86 0.863 0.988 waist Weighted Avg. 0.859 0.024 0.859 0.859 0.859 0.986 === Confusion Matrix === a b c d e f g <-- classified as 681 8 14 1 23 58 6 | a = chest 23 657 37 14 3 7 48 | b = forearm 10 28 702 3 2 34 13 | c = head 7 30 14 703 20 7 10 | d = shin 23 2 10 7 703 35 13 | e = thigh 62 8 34 12 31 631 15 | f = upperarm 12 47 12 8 25 7 682 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4746 85.637 % Incorrectly Classified Instances 796 14.363 % Kappa statistic 0.8324 Mean absolute error 0.0789 Root mean squared error 0.1794 Relative absolute error 32.2229 % Root relative squared error 51.2748 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.875 0.032 0.82 0.875 0.847 0.985 chest 0.804 0.026 0.836 0.804 0.82 0.977 forearm 0.89 0.024 0.863 0.89 0.876 0.986 head 0.893 0.011 0.93 0.893 0.911 0.992 shin 0.859 0.023 0.863 0.859 0.861 0.986 thigh 0.794 0.031 0.812 0.794 0.803 0.977 upperarm 0.88 0.021 0.873 0.88 0.877 0.989 waist Weighted Avg. 0.856 0.024 0.857 0.856 0.856 0.985 === Confusion Matrix === a b c d e f g <-- classified as 693 14 8 0 20 47 10 | a = chest 25 634 49 14 8 7 52 | b = forearm 10 23 705 3 6 33 12 | c = head 15 29 8 706 17 8 8 | d = shin 20 7 9 20 681 44 12 | e = thigh 65 11 29 9 42 630 7 | f = upperarm 17 40 9 7 15 7 697 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4738 85.4926 % Incorrectly Classified Instances 804 14.5074 % Kappa statistic 0.8307 Mean absolute error 0.0779 Root mean squared error 0.179 Relative absolute error 31.7888 % Root relative squared error 51.151 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.851 0.025 0.848 0.851 0.849 0.983 chest 0.81 0.027 0.834 0.81 0.822 0.978 forearm 0.889 0.026 0.849 0.889 0.869 0.987 head 0.894 0.013 0.922 0.894 0.908 0.99 shin 0.858 0.024 0.859 0.858 0.858 0.989 thigh 0.778 0.032 0.802 0.778 0.79 0.973 upperarm 0.905 0.023 0.87 0.905 0.887 0.991 waist Weighted Avg. 0.855 0.024 0.855 0.855 0.855 0.984 === Confusion Matrix === a b c d e f g <-- classified as 674 15 7 3 22 55 16 | a = chest 19 639 52 13 5 11 50 | b = forearm 13 24 704 4 7 33 7 | c = head 9 33 6 707 16 9 11 | d = shin 20 7 7 27 680 34 18 | e = thigh 52 16 46 9 48 617 5 | f = upperarm 8 32 7 4 14 10 717 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4750 85.7091 % Incorrectly Classified Instances 792 14.2909 % Kappa statistic 0.8333 Mean absolute error 0.0766 Root mean squared error 0.1764 Relative absolute error 31.2758 % Root relative squared error 50.416 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.843 0.03 0.822 0.843 0.833 0.982 chest 0.849 0.036 0.795 0.849 0.821 0.983 forearm 0.876 0.018 0.889 0.876 0.882 0.99 head 0.886 0.01 0.937 0.886 0.911 0.992 shin 0.877 0.02 0.881 0.877 0.879 0.988 thigh 0.784 0.026 0.835 0.784 0.809 0.974 upperarm 0.884 0.026 0.85 0.884 0.866 0.99 waist Weighted Avg. 0.857 0.024 0.858 0.857 0.857 0.986 === Confusion Matrix === a b c d e f g <-- classified as 667 18 11 2 26 53 14 | a = chest 17 670 23 17 5 3 54 | b = forearm 14 35 694 2 5 27 15 | c = head 14 39 4 701 17 4 12 | d = shin 15 8 10 15 696 30 20 | e = thigh 70 21 34 6 31 622 9 | f = upperarm 14 52 5 5 10 6 700 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4705 84.8971 % Incorrectly Classified Instances 837 15.1029 % Kappa statistic 0.8238 Mean absolute error 0.08 Root mean squared error 0.1815 Relative absolute error 32.6505 % Root relative squared error 51.8731 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.822 0.03 0.822 0.822 0.822 0.982 chest 0.831 0.03 0.821 0.831 0.826 0.981 forearm 0.876 0.026 0.847 0.876 0.862 0.987 head 0.896 0.013 0.92 0.896 0.908 0.991 shin 0.86 0.023 0.861 0.86 0.861 0.986 thigh 0.773 0.034 0.793 0.773 0.783 0.972 upperarm 0.884 0.02 0.879 0.884 0.882 0.99 waist Weighted Avg. 0.849 0.025 0.849 0.849 0.849 0.984 === Confusion Matrix === a b c d e f g <-- classified as 650 19 14 6 30 65 7 | a = chest 16 656 40 21 6 7 43 | b = forearm 16 28 694 5 2 31 16 | c = head 6 31 12 709 15 10 8 | d = shin 22 7 13 16 683 42 11 | e = thigh 66 19 35 11 38 613 11 | f = upperarm 15 39 11 3 19 5 700 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4733 85.4024 % Incorrectly Classified Instances 809 14.5976 % Kappa statistic 0.8297 Mean absolute error 0.0777 Root mean squared error 0.1788 Relative absolute error 31.7299 % Root relative squared error 51.0832 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.863 0.03 0.828 0.863 0.845 0.985 chest 0.823 0.027 0.835 0.823 0.829 0.979 forearm 0.875 0.026 0.848 0.875 0.861 0.986 head 0.89 0.013 0.92 0.89 0.905 0.988 shin 0.848 0.019 0.881 0.848 0.864 0.987 thigh 0.793 0.029 0.822 0.793 0.807 0.975 upperarm 0.886 0.027 0.847 0.886 0.866 0.99 waist Weighted Avg. 0.854 0.024 0.855 0.854 0.854 0.984 === Confusion Matrix === a b c d e f g <-- classified as 683 12 4 4 26 50 12 | a = chest 15 649 46 17 3 10 49 | b = forearm 21 23 693 2 3 28 22 | c = head 11 27 10 704 21 8 10 | d = shin 15 10 11 26 673 35 24 | e = thigh 65 12 41 7 29 629 10 | f = upperarm 15 44 12 5 9 5 702 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4707 84.9332 % Incorrectly Classified Instances 835 15.0668 % Kappa statistic 0.8242 Mean absolute error 0.0779 Root mean squared error 0.1788 Relative absolute error 31.8021 % Root relative squared error 51.0865 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.826 0.03 0.822 0.826 0.824 0.983 chest 0.84 0.032 0.813 0.84 0.826 0.98 forearm 0.886 0.022 0.87 0.886 0.878 0.989 head 0.886 0.012 0.924 0.886 0.905 0.988 shin 0.843 0.022 0.864 0.843 0.853 0.984 thigh 0.799 0.036 0.786 0.799 0.793 0.977 upperarm 0.865 0.021 0.872 0.865 0.868 0.988 waist Weighted Avg. 0.849 0.025 0.85 0.849 0.85 0.984 === Confusion Matrix === a b c d e f g <-- classified as 653 13 8 2 20 75 20 | a = chest 19 662 37 21 4 3 42 | b = forearm 18 31 702 3 4 26 8 | c = head 8 28 9 702 23 11 11 | d = shin 18 10 13 21 669 50 13 | e = thigh 64 10 31 7 40 634 7 | f = upperarm 14 60 7 4 14 8 685 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 1 FOLD: 0 Correctly Classified Instances 4683 84.4849 % Incorrectly Classified Instances 860 15.5151 % Kappa statistic 0.819 Mean absolute error 0.0785 Root mean squared error 0.1799 Relative absolute error 32.0483 % Root relative squared error 51.4015 % Total Number of Instances 5543 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.81 0.031 0.816 0.81 0.813 0.982 chest 0.827 0.031 0.816 0.827 0.822 0.98 forearm 0.881 0.028 0.839 0.881 0.86 0.987 head 0.896 0.013 0.918 0.896 0.907 0.99 shin 0.851 0.021 0.873 0.851 0.862 0.986 thigh 0.772 0.034 0.792 0.772 0.782 0.973 upperarm 0.875 0.024 0.861 0.875 0.868 0.988 waist Weighted Avg. 0.845 0.026 0.845 0.845 0.845 0.984 === Confusion Matrix === a b c d e f g <-- classified as 641 20 15 3 26 64 22 | a = chest 13 652 41 15 8 7 52 | b = forearm 18 24 699 6 7 28 11 | c = head 7 28 9 710 20 7 11 | d = shin 22 7 10 22 675 42 15 | e = thigh 76 15 50 12 27 612 1 | f = upperarm 9 53 9 5 10 13 694 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4729 85.3148 % Incorrectly Classified Instances 814 14.6852 % Kappa statistic 0.8287 Mean absolute error 0.0786 Root mean squared error 0.179 Relative absolute error 32.0769 % Root relative squared error 51.158 % Total Number of Instances 5543 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.848 0.029 0.829 0.848 0.838 0.985 chest 0.808 0.034 0.796 0.808 0.802 0.979 forearm 0.869 0.025 0.855 0.869 0.862 0.986 head 0.876 0.01 0.934 0.876 0.904 0.989 shin 0.89 0.019 0.885 0.89 0.887 0.99 thigh 0.792 0.033 0.802 0.792 0.797 0.973 upperarm 0.888 0.021 0.877 0.888 0.882 0.988 waist Weighted Avg. 0.853 0.024 0.854 0.853 0.853 0.984 === Confusion Matrix === a b c d e f g <-- classified as 672 12 8 3 22 66 9 | a = chest 21 637 47 15 3 10 55 | b = forearm 11 46 688 3 2 28 14 | c = head 12 43 12 693 21 7 3 | d = shin 21 9 4 12 706 35 6 | e = thigh 62 14 34 12 31 629 12 | f = upperarm 12 39 12 4 13 9 704 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4764 85.9462 % Incorrectly Classified Instances 779 14.0538 % Kappa statistic 0.836 Mean absolute error 0.0766 Root mean squared error 0.1761 Relative absolute error 31.2765 % Root relative squared error 50.3129 % Total Number of Instances 5543 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.855 0.027 0.839 0.855 0.847 0.984 chest 0.833 0.028 0.831 0.833 0.832 0.983 forearm 0.881 0.023 0.863 0.881 0.872 0.987 head 0.898 0.013 0.92 0.898 0.909 0.992 shin 0.866 0.02 0.877 0.866 0.872 0.988 thigh 0.792 0.031 0.811 0.792 0.802 0.975 upperarm 0.892 0.021 0.876 0.892 0.884 0.992 waist Weighted Avg. 0.859 0.023 0.86 0.859 0.859 0.986 === Confusion Matrix === a b c d e f g <-- classified as 677 15 8 4 26 54 8 | a = chest 13 657 44 17 6 6 46 | b = forearm 13 28 698 2 6 32 13 | c = head 11 29 6 710 17 9 9 | d = shin 22 5 7 21 687 39 12 | e = thigh 64 9 37 11 32 628 12 | f = upperarm 7 48 9 7 9 6 707 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4753 85.7633 % Incorrectly Classified Instances 789 14.2367 % Kappa statistic 0.8339 Mean absolute error 0.0764 Root mean squared error 0.176 Relative absolute error 31.1908 % Root relative squared error 50.2902 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.861 0.03 0.828 0.861 0.844 0.985 chest 0.834 0.027 0.837 0.834 0.836 0.984 forearm 0.895 0.025 0.857 0.895 0.876 0.989 head 0.881 0.012 0.924 0.881 0.902 0.99 shin 0.869 0.022 0.868 0.869 0.868 0.988 thigh 0.776 0.027 0.829 0.776 0.801 0.975 upperarm 0.888 0.024 0.862 0.888 0.875 0.99 waist Weighted Avg. 0.858 0.024 0.858 0.858 0.857 0.986 === Confusion Matrix === a b c d e f g <-- classified as 681 11 14 5 17 52 11 | a = chest 9 658 39 15 6 4 58 | b = forearm 15 26 709 3 2 26 11 | c = head 10 30 15 697 21 6 12 | d = shin 24 12 8 15 689 33 12 | e = thigh 67 16 33 12 41 615 9 | f = upperarm 16 33 9 7 18 6 704 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4701 84.825 % Incorrectly Classified Instances 841 15.175 % Kappa statistic 0.823 Mean absolute error 0.0779 Root mean squared error 0.1792 Relative absolute error 31.8023 % Root relative squared error 51.2153 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.841 0.031 0.817 0.841 0.829 0.981 chest 0.83 0.03 0.822 0.83 0.826 0.982 forearm 0.867 0.024 0.857 0.867 0.862 0.988 head 0.88 0.011 0.929 0.88 0.904 0.988 shin 0.846 0.02 0.874 0.846 0.86 0.989 thigh 0.802 0.035 0.793 0.802 0.797 0.978 upperarm 0.871 0.025 0.853 0.871 0.862 0.986 waist Weighted Avg. 0.848 0.025 0.849 0.848 0.849 0.985 === Confusion Matrix === a b c d e f g <-- classified as 665 18 16 3 17 59 13 | a = chest 20 655 38 10 3 5 58 | b = forearm 12 36 687 4 2 39 12 | c = head 18 37 7 696 13 6 14 | d = shin 28 7 4 25 672 46 12 | e = thigh 54 9 41 6 37 636 10 | f = upperarm 17 35 9 5 25 11 690 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4683 84.5002 % Incorrectly Classified Instances 859 15.4998 % Kappa statistic 0.8192 Mean absolute error 0.0798 Root mean squared error 0.1804 Relative absolute error 32.5831 % Root relative squared error 51.5663 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.823 0.035 0.798 0.823 0.81 0.983 chest 0.816 0.031 0.815 0.816 0.816 0.979 forearm 0.869 0.026 0.846 0.869 0.857 0.988 head 0.894 0.011 0.931 0.894 0.912 0.991 shin 0.855 0.023 0.859 0.855 0.857 0.986 thigh 0.784 0.032 0.804 0.784 0.794 0.975 upperarm 0.874 0.023 0.865 0.874 0.869 0.991 waist Weighted Avg. 0.845 0.026 0.846 0.845 0.845 0.985 === Confusion Matrix === a b c d e f g <-- classified as 651 16 15 2 32 61 14 | a = chest 26 644 47 16 4 3 49 | b = forearm 17 29 688 3 6 38 11 | c = head 9 31 8 707 19 9 8 | d = shin 33 4 6 21 679 35 16 | e = thigh 70 7 36 8 40 622 10 | f = upperarm 10 59 13 2 10 6 692 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4708 84.9513 % Incorrectly Classified Instances 834 15.0487 % Kappa statistic 0.8244 Mean absolute error 0.079 Root mean squared error 0.1799 Relative absolute error 32.2728 % Root relative squared error 51.4031 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.836 0.031 0.819 0.836 0.827 0.983 chest 0.844 0.032 0.813 0.844 0.828 0.982 forearm 0.879 0.021 0.873 0.879 0.876 0.989 head 0.874 0.011 0.93 0.874 0.901 0.99 shin 0.849 0.024 0.853 0.849 0.851 0.985 thigh 0.789 0.031 0.808 0.789 0.798 0.976 upperarm 0.876 0.025 0.856 0.876 0.866 0.989 waist Weighted Avg. 0.85 0.025 0.85 0.85 0.85 0.985 === Confusion Matrix === a b c d e f g <-- classified as 661 15 7 3 31 61 13 | a = chest 20 666 37 11 5 5 45 | b = forearm 13 27 696 2 3 37 14 | c = head 9 40 9 691 29 2 11 | d = shin 22 11 10 17 674 40 20 | e = thigh 64 10 30 13 36 626 14 | f = upperarm 18 50 8 6 12 4 694 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4725 85.258 % Incorrectly Classified Instances 817 14.742 % Kappa statistic 0.828 Mean absolute error 0.0764 Root mean squared error 0.1766 Relative absolute error 31.1845 % Root relative squared error 50.4613 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.824 0.025 0.848 0.824 0.836 0.985 chest 0.83 0.027 0.838 0.83 0.834 0.983 forearm 0.883 0.027 0.847 0.883 0.865 0.988 head 0.894 0.011 0.93 0.894 0.912 0.99 shin 0.863 0.026 0.849 0.863 0.856 0.987 thigh 0.801 0.035 0.795 0.801 0.798 0.976 upperarm 0.874 0.023 0.865 0.874 0.869 0.989 waist Weighted Avg. 0.853 0.025 0.853 0.853 0.853 0.985 === Confusion Matrix === a b c d e f g <-- classified as 652 13 12 2 28 74 10 | a = chest 9 655 46 17 6 7 49 | b = forearm 18 22 699 3 5 34 11 | c = head 10 28 10 707 21 6 9 | d = shin 17 9 13 22 685 33 15 | e = thigh 48 13 35 5 43 635 14 | f = upperarm 15 42 10 4 19 10 692 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4742 85.5648 % Incorrectly Classified Instances 800 14.4352 % Kappa statistic 0.8316 Mean absolute error 0.077 Root mean squared error 0.1771 Relative absolute error 31.4404 % Root relative squared error 50.6169 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.872 0.031 0.826 0.872 0.849 0.984 chest 0.821 0.027 0.834 0.821 0.827 0.982 forearm 0.904 0.029 0.84 0.904 0.871 0.989 head 0.9 0.01 0.939 0.9 0.919 0.988 shin 0.847 0.023 0.858 0.847 0.853 0.983 thigh 0.762 0.026 0.829 0.762 0.794 0.976 upperarm 0.883 0.023 0.867 0.883 0.875 0.99 waist Weighted Avg. 0.856 0.024 0.856 0.856 0.855 0.985 === Confusion Matrix === a b c d e f g <-- classified as 690 14 13 3 20 44 7 | a = chest 26 647 43 13 4 7 48 | b = forearm 9 26 717 0 1 27 13 | c = head 11 23 10 713 20 8 7 | d = shin 25 10 16 16 672 34 20 | e = thigh 63 15 48 9 42 604 12 | f = upperarm 11 41 7 5 24 5 699 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4733 85.4024 % Incorrectly Classified Instances 809 14.5976 % Kappa statistic 0.8297 Mean absolute error 0.0778 Root mean squared error 0.1784 Relative absolute error 31.788 % Root relative squared error 50.9932 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.833 0.032 0.814 0.833 0.823 0.983 chest 0.819 0.027 0.837 0.819 0.827 0.98 forearm 0.884 0.021 0.874 0.884 0.879 0.988 head 0.89 0.01 0.938 0.89 0.913 0.989 shin 0.876 0.024 0.859 0.876 0.868 0.988 thigh 0.774 0.033 0.798 0.774 0.786 0.973 upperarm 0.902 0.024 0.861 0.902 0.881 0.991 waist Weighted Avg. 0.854 0.024 0.854 0.854 0.854 0.985 === Confusion Matrix === a b c d e f g <-- classified as 659 14 7 3 27 69 12 | a = chest 15 645 41 17 7 8 55 | b = forearm 19 24 701 3 5 27 14 | c = head 9 33 4 705 20 10 11 | d = shin 21 4 10 13 695 36 14 | e = thigh 74 14 31 9 42 614 9 | f = upperarm 13 37 8 2 13 5 714 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 2 FOLD: 0 Correctly Classified Instances 4741 85.5313 % Incorrectly Classified Instances 802 14.4687 % Kappa statistic 0.8312 Mean absolute error 0.0778 Root mean squared error 0.178 Relative absolute error 31.7867 % Root relative squared error 50.8632 % Total Number of Instances 5543 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.848 0.031 0.821 0.848 0.834 0.984 chest 0.867 0.03 0.826 0.867 0.846 0.986 forearm 0.884 0.021 0.874 0.884 0.879 0.989 head 0.885 0.011 0.931 0.885 0.907 0.99 shin 0.846 0.022 0.865 0.846 0.855 0.986 thigh 0.778 0.035 0.789 0.778 0.783 0.972 upperarm 0.879 0.019 0.888 0.879 0.883 0.991 waist Weighted Avg. 0.855 0.024 0.856 0.855 0.856 0.985 === Confusion Matrix === a b c d e f g <-- classified as 672 13 10 1 27 58 11 | a = chest 13 683 27 16 5 9 35 | b = forearm 13 19 700 3 3 39 15 | c = head 9 35 8 701 22 8 9 | d = shin 31 8 8 20 671 44 11 | e = thigh 72 18 40 7 32 617 7 | f = upperarm 9 51 8 5 16 7 697 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4790 86.4153 % Incorrectly Classified Instances 753 13.5847 % Kappa statistic 0.8415 Mean absolute error 0.0763 Root mean squared error 0.1755 Relative absolute error 31.1683 % Root relative squared error 50.1414 % Total Number of Instances 5543 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.854 0.033 0.813 0.854 0.833 0.982 chest 0.863 0.026 0.846 0.863 0.854 0.985 forearm 0.869 0.021 0.873 0.869 0.871 0.986 head 0.912 0.011 0.934 0.912 0.923 0.991 shin 0.881 0.023 0.865 0.881 0.873 0.989 thigh 0.772 0.025 0.835 0.772 0.802 0.973 upperarm 0.899 0.019 0.886 0.899 0.892 0.992 waist Weighted Avg. 0.864 0.023 0.864 0.864 0.864 0.985 === Confusion Matrix === a b c d e f g <-- classified as 676 21 11 4 21 42 17 | a = chest 13 680 38 8 5 6 38 | b = forearm 19 27 688 6 5 33 14 | c = head 13 17 5 722 21 7 7 | d = shin 22 5 8 22 699 27 10 | e = thigh 83 13 34 8 37 612 6 | f = upperarm 6 41 4 3 20 6 713 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4733 85.387 % Incorrectly Classified Instances 810 14.613 % Kappa statistic 0.8295 Mean absolute error 0.0786 Root mean squared error 0.1786 Relative absolute error 32.094 % Root relative squared error 51.0462 % Total Number of Instances 5543 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.879 0.031 0.824 0.879 0.851 0.986 chest 0.81 0.03 0.815 0.81 0.812 0.98 forearm 0.867 0.025 0.854 0.867 0.861 0.987 head 0.89 0.012 0.923 0.89 0.906 0.989 shin 0.846 0.018 0.885 0.846 0.865 0.986 thigh 0.797 0.033 0.799 0.797 0.798 0.977 upperarm 0.888 0.02 0.881 0.888 0.884 0.991 waist Weighted Avg. 0.854 0.024 0.855 0.854 0.854 0.985 === Confusion Matrix === a b c d e f g <-- classified as 695 6 6 3 15 56 10 | a = chest 19 638 46 24 6 7 48 | b = forearm 15 34 687 2 3 36 15 | c = head 9 31 11 705 22 8 6 | d = shin 24 10 14 16 672 44 14 | e = thigh 71 10 35 10 33 632 2 | f = upperarm 10 54 5 4 8 8 704 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4721 85.1859 % Incorrectly Classified Instances 821 14.8141 % Kappa statistic 0.8272 Mean absolute error 0.0787 Root mean squared error 0.1799 Relative absolute error 32.1425 % Root relative squared error 51.4024 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.843 0.029 0.829 0.843 0.836 0.983 chest 0.807 0.027 0.834 0.807 0.82 0.98 forearm 0.888 0.028 0.841 0.888 0.864 0.988 head 0.875 0.011 0.929 0.875 0.901 0.989 shin 0.866 0.023 0.863 0.866 0.865 0.988 thigh 0.808 0.03 0.817 0.808 0.812 0.974 upperarm 0.875 0.025 0.856 0.875 0.865 0.986 waist Weighted Avg. 0.852 0.025 0.852 0.852 0.852 0.984 === Confusion Matrix === a b c d e f g <-- classified as 667 15 10 4 28 55 12 | a = chest 22 636 45 15 2 9 59 | b = forearm 13 25 703 3 6 32 10 | c = head 12 35 13 692 20 9 10 | d = shin 27 4 13 15 688 32 15 | e = thigh 47 10 39 12 33 641 11 | f = upperarm 17 38 13 4 20 7 694 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4711 85.0054 % Incorrectly Classified Instances 831 14.9946 % Kappa statistic 0.8251 Mean absolute error 0.079 Root mean squared error 0.18 Relative absolute error 32.2511 % Root relative squared error 51.4396 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.842 0.026 0.842 0.842 0.842 0.985 chest 0.816 0.031 0.816 0.816 0.816 0.98 forearm 0.88 0.024 0.859 0.88 0.87 0.988 head 0.879 0.012 0.927 0.879 0.902 0.988 shin 0.863 0.024 0.856 0.863 0.859 0.988 thigh 0.778 0.032 0.802 0.778 0.79 0.974 upperarm 0.893 0.026 0.85 0.893 0.871 0.99 waist Weighted Avg. 0.85 0.025 0.85 0.85 0.85 0.985 === Confusion Matrix === a b c d e f g <-- classified as 666 15 12 0 25 64 9 | a = chest 20 644 46 20 3 5 51 | b = forearm 11 27 697 1 5 36 15 | c = head 10 38 6 695 19 9 14 | d = shin 17 6 9 17 685 36 24 | e = thigh 59 16 34 11 44 617 12 | f = upperarm 8 43 7 6 19 2 707 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4696 84.7348 % Incorrectly Classified Instances 846 15.2652 % Kappa statistic 0.8219 Mean absolute error 0.0785 Root mean squared error 0.1799 Relative absolute error 32.0492 % Root relative squared error 51.399 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.832 0.031 0.818 0.832 0.825 0.983 chest 0.798 0.029 0.818 0.798 0.808 0.98 forearm 0.884 0.027 0.845 0.884 0.864 0.988 head 0.89 0.011 0.931 0.89 0.91 0.99 shin 0.875 0.023 0.867 0.875 0.871 0.986 thigh 0.765 0.032 0.8 0.765 0.782 0.974 upperarm 0.886 0.025 0.853 0.886 0.869 0.99 waist Weighted Avg. 0.847 0.025 0.848 0.847 0.847 0.984 === Confusion Matrix === a b c d e f g <-- classified as 658 20 8 2 32 56 15 | a = chest 19 630 50 18 6 5 61 | b = forearm 14 29 700 1 7 33 8 | c = head 13 35 11 704 13 4 11 | d = shin 17 7 5 13 695 43 14 | e = thigh 71 11 36 14 42 607 12 | f = upperarm 12 38 18 4 7 11 702 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4759 85.8715 % Incorrectly Classified Instances 783 14.1285 % Kappa statistic 0.8352 Mean absolute error 0.0769 Root mean squared error 0.1762 Relative absolute error 31.4074 % Root relative squared error 50.3593 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.851 0.028 0.836 0.851 0.843 0.985 chest 0.83 0.027 0.838 0.83 0.834 0.981 forearm 0.907 0.021 0.878 0.907 0.892 0.991 head 0.889 0.012 0.927 0.889 0.908 0.99 shin 0.855 0.025 0.851 0.855 0.853 0.987 thigh 0.787 0.03 0.813 0.787 0.8 0.977 upperarm 0.893 0.022 0.87 0.893 0.881 0.99 waist Weighted Avg. 0.859 0.024 0.859 0.859 0.859 0.986 === Confusion Matrix === a b c d e f g <-- classified as 673 7 7 3 27 66 8 | a = chest 20 655 32 13 12 4 53 | b = forearm 12 21 718 5 5 24 7 | c = head 8 36 8 703 21 6 9 | d = shin 13 13 14 24 678 33 18 | e = thigh 69 16 30 7 36 625 11 | f = upperarm 10 34 9 3 18 11 707 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4687 84.5724 % Incorrectly Classified Instances 855 15.4276 % Kappa statistic 0.82 Mean absolute error 0.0781 Root mean squared error 0.1796 Relative absolute error 31.8857 % Root relative squared error 51.3138 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.834 0.031 0.819 0.834 0.827 0.984 chest 0.83 0.034 0.804 0.83 0.817 0.981 forearm 0.878 0.026 0.851 0.878 0.864 0.988 head 0.894 0.01 0.939 0.894 0.916 0.99 shin 0.866 0.021 0.871 0.866 0.869 0.987 thigh 0.76 0.033 0.794 0.76 0.777 0.972 upperarm 0.857 0.026 0.847 0.857 0.852 0.987 waist Weighted Avg. 0.846 0.026 0.846 0.846 0.846 0.984 === Confusion Matrix === a b c d e f g <-- classified as 660 20 7 3 21 69 11 | a = chest 18 655 39 15 4 8 50 | b = forearm 13 31 696 1 5 25 22 | c = head 7 29 10 707 16 10 12 | d = shin 21 7 14 15 687 35 14 | e = thigh 67 17 41 8 43 603 14 | f = upperarm 20 56 11 4 13 9 679 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4722 85.2039 % Incorrectly Classified Instances 820 14.7961 % Kappa statistic 0.8274 Mean absolute error 0.0777 Root mean squared error 0.1782 Relative absolute error 31.7288 % Root relative squared error 50.9111 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.856 0.027 0.841 0.856 0.848 0.985 chest 0.824 0.033 0.805 0.824 0.815 0.979 forearm 0.865 0.025 0.853 0.865 0.859 0.985 head 0.885 0.015 0.91 0.885 0.897 0.988 shin 0.863 0.018 0.887 0.863 0.875 0.988 thigh 0.792 0.029 0.818 0.792 0.805 0.977 upperarm 0.88 0.025 0.852 0.88 0.866 0.99 waist Weighted Avg. 0.852 0.025 0.852 0.852 0.852 0.985 === Confusion Matrix === a b c d e f g <-- classified as 677 14 8 4 18 58 12 | a = chest 16 650 38 19 4 10 52 | b = forearm 12 36 686 5 2 32 20 | c = head 9 38 17 700 16 4 7 | d = shin 20 11 5 23 684 31 19 | e = thigh 55 13 42 11 33 628 11 | f = upperarm 16 45 8 7 14 5 697 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4749 85.6911 % Incorrectly Classified Instances 793 14.3089 % Kappa statistic 0.8331 Mean absolute error 0.0755 Root mean squared error 0.1754 Relative absolute error 30.8215 % Root relative squared error 50.1366 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.839 0.035 0.802 0.839 0.82 0.98 chest 0.837 0.028 0.831 0.837 0.834 0.983 forearm 0.9 0.022 0.871 0.9 0.885 0.991 head 0.895 0.009 0.94 0.895 0.917 0.992 shin 0.86 0.019 0.883 0.86 0.872 0.987 thigh 0.788 0.032 0.803 0.788 0.796 0.977 upperarm 0.879 0.021 0.873 0.879 0.876 0.989 waist Weighted Avg. 0.857 0.024 0.858 0.857 0.857 0.986 === Confusion Matrix === a b c d e f g <-- classified as 664 16 15 2 18 62 14 | a = chest 19 660 42 9 4 2 53 | b = forearm 16 18 714 3 2 31 9 | c = head 10 37 4 708 19 8 5 | d = shin 31 5 11 17 682 34 13 | e = thigh 69 13 33 9 37 625 7 | f = upperarm 19 45 1 5 10 16 696 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 3 FOLD: 0 Correctly Classified Instances 4751 85.7117 % Incorrectly Classified Instances 792 14.2883 % Kappa statistic 0.8333 Mean absolute error 0.0771 Root mean squared error 0.1775 Relative absolute error 31.464 % Root relative squared error 50.7187 % Total Number of Instances 5543 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.85 0.027 0.839 0.85 0.844 0.984 chest 0.832 0.029 0.826 0.832 0.829 0.98 forearm 0.871 0.025 0.854 0.871 0.863 0.987 head 0.905 0.012 0.926 0.905 0.916 0.991 shin 0.869 0.022 0.869 0.869 0.869 0.988 thigh 0.77 0.031 0.804 0.77 0.786 0.973 upperarm 0.903 0.02 0.881 0.903 0.892 0.991 waist Weighted Avg. 0.857 0.024 0.857 0.857 0.857 0.985 === Confusion Matrix === a b c d e f g <-- classified as 672 18 11 1 22 54 13 | a = chest 17 656 38 19 7 12 39 | b = forearm 13 39 691 2 3 30 15 | c = head 10 28 6 716 19 7 5 | d = shin 15 5 9 20 690 40 15 | e = thigh 64 9 50 10 40 611 10 | f = upperarm 10 39 4 5 13 6 715 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4736 85.4411 % Incorrectly Classified Instances 807 14.5589 % Kappa statistic 0.8301 Mean absolute error 0.0792 Root mean squared error 0.1794 Relative absolute error 32.3383 % Root relative squared error 51.2736 % Total Number of Instances 5543 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.838 0.027 0.838 0.838 0.838 0.985 chest 0.826 0.029 0.823 0.826 0.825 0.981 forearm 0.909 0.027 0.848 0.909 0.878 0.988 head 0.891 0.013 0.92 0.891 0.906 0.989 shin 0.872 0.021 0.873 0.872 0.872 0.99 thigh 0.778 0.031 0.808 0.778 0.793 0.973 upperarm 0.866 0.021 0.872 0.866 0.869 0.989 waist Weighted Avg. 0.854 0.024 0.855 0.854 0.854 0.985 === Confusion Matrix === a b c d e f g <-- classified as 663 15 10 3 32 53 15 | a = chest 14 651 50 18 5 6 44 | b = forearm 6 24 721 2 5 26 9 | c = head 5 32 15 705 17 10 7 | d = shin 16 6 4 22 692 38 16 | e = thigh 78 16 34 10 28 617 10 | f = upperarm 9 47 16 6 14 14 687 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4712 85.0081 % Incorrectly Classified Instances 831 14.9919 % Kappa statistic 0.8251 Mean absolute error 0.0781 Root mean squared error 0.1791 Relative absolute error 31.8951 % Root relative squared error 51.1861 % Total Number of Instances 5543 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.865 0.032 0.817 0.865 0.84 0.984 chest 0.829 0.03 0.821 0.829 0.825 0.98 forearm 0.871 0.026 0.849 0.871 0.86 0.985 head 0.879 0.01 0.937 0.879 0.907 0.991 shin 0.885 0.023 0.868 0.885 0.876 0.989 thigh 0.764 0.032 0.799 0.764 0.781 0.971 upperarm 0.858 0.023 0.864 0.858 0.861 0.987 waist Weighted Avg. 0.85 0.025 0.851 0.85 0.85 0.984 === Confusion Matrix === a b c d e f g <-- classified as 685 11 8 3 19 56 10 | a = chest 25 653 41 11 3 5 50 | b = forearm 13 32 691 5 8 33 11 | c = head 13 27 9 695 22 17 8 | d = shin 15 5 8 11 702 34 18 | e = thigh 66 17 42 9 43 606 10 | f = upperarm 21 50 15 8 12 7 680 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4744 85.6009 % Incorrectly Classified Instances 798 14.3991 % Kappa statistic 0.832 Mean absolute error 0.0779 Root mean squared error 0.1781 Relative absolute error 31.8023 % Root relative squared error 50.9097 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.861 0.033 0.815 0.861 0.837 0.983 chest 0.821 0.029 0.823 0.821 0.822 0.981 forearm 0.878 0.026 0.851 0.878 0.864 0.988 head 0.885 0.01 0.936 0.885 0.91 0.99 shin 0.865 0.022 0.868 0.865 0.867 0.986 thigh 0.791 0.026 0.836 0.791 0.813 0.977 upperarm 0.892 0.023 0.869 0.892 0.88 0.99 waist Weighted Avg. 0.856 0.024 0.857 0.856 0.856 0.985 === Confusion Matrix === a b c d e f g <-- classified as 682 20 14 2 26 37 11 | a = chest 20 647 45 18 5 5 48 | b = forearm 17 29 695 4 3 33 11 | c = head 12 27 10 700 24 6 12 | d = shin 26 9 12 13 686 34 13 | e = thigh 68 13 34 7 32 627 12 | f = upperarm 12 41 7 4 14 8 707 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4749 85.6911 % Incorrectly Classified Instances 793 14.3089 % Kappa statistic 0.8331 Mean absolute error 0.0777 Root mean squared error 0.1784 Relative absolute error 31.7099 % Root relative squared error 50.9845 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.833 0.025 0.845 0.833 0.839 0.983 chest 0.857 0.029 0.829 0.857 0.843 0.982 forearm 0.88 0.025 0.856 0.88 0.868 0.988 head 0.886 0.011 0.93 0.886 0.907 0.989 shin 0.856 0.023 0.864 0.856 0.86 0.986 thigh 0.784 0.027 0.832 0.784 0.807 0.975 upperarm 0.902 0.027 0.846 0.902 0.873 0.991 waist Weighted Avg. 0.857 0.024 0.857 0.857 0.857 0.985 === Confusion Matrix === a b c d e f g <-- classified as 659 15 12 3 28 55 19 | a = chest 13 676 32 15 2 2 49 | b = forearm 13 25 697 5 5 28 19 | c = head 11 36 11 701 17 3 12 | d = shin 22 10 12 19 679 34 17 | e = thigh 53 13 43 8 40 622 14 | f = upperarm 9 40 7 3 15 4 715 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4712 85.0235 % Incorrectly Classified Instances 830 14.9765 % Kappa statistic 0.8253 Mean absolute error 0.0782 Root mean squared error 0.1787 Relative absolute error 31.9404 % Root relative squared error 51.0796 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.843 0.027 0.838 0.843 0.841 0.985 chest 0.806 0.026 0.839 0.806 0.822 0.981 forearm 0.876 0.022 0.87 0.876 0.873 0.989 head 0.905 0.014 0.917 0.905 0.911 0.992 shin 0.849 0.027 0.838 0.849 0.843 0.983 thigh 0.792 0.035 0.793 0.792 0.792 0.975 upperarm 0.88 0.024 0.857 0.88 0.869 0.989 waist Weighted Avg. 0.85 0.025 0.85 0.85 0.85 0.985 === Confusion Matrix === a b c d e f g <-- classified as 667 9 12 8 23 58 14 | a = chest 14 636 38 22 8 7 64 | b = forearm 14 19 694 2 6 43 14 | c = head 8 36 4 717 20 2 5 | d = shin 27 5 11 17 673 47 13 | e = thigh 54 11 32 10 52 628 6 | f = upperarm 12 42 7 6 21 7 697 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4734 85.4204 % Incorrectly Classified Instances 808 14.5796 % Kappa statistic 0.8299 Mean absolute error 0.0779 Root mean squared error 0.1785 Relative absolute error 31.7989 % Root relative squared error 51.0026 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.856 0.029 0.829 0.856 0.842 0.983 chest 0.826 0.033 0.807 0.826 0.817 0.98 forearm 0.875 0.025 0.852 0.875 0.864 0.985 head 0.895 0.012 0.927 0.895 0.911 0.991 shin 0.86 0.019 0.885 0.86 0.872 0.988 thigh 0.781 0.031 0.807 0.781 0.794 0.973 upperarm 0.886 0.021 0.876 0.886 0.881 0.991 waist Weighted Avg. 0.854 0.024 0.855 0.854 0.854 0.984 === Confusion Matrix === a b c d e f g <-- classified as 677 13 10 1 24 54 12 | a = chest 15 652 45 21 3 8 45 | b = forearm 18 29 693 4 3 32 13 | c = head 9 41 12 709 7 5 9 | d = shin 23 10 10 17 682 41 10 | e = thigh 62 11 37 10 44 619 10 | f = upperarm 13 52 6 3 8 8 702 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4729 85.3302 % Incorrectly Classified Instances 813 14.6698 % Kappa statistic 0.8289 Mean absolute error 0.0778 Root mean squared error 0.1778 Relative absolute error 31.7676 % Root relative squared error 50.8147 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.832 0.029 0.826 0.832 0.829 0.984 chest 0.835 0.03 0.824 0.835 0.829 0.985 forearm 0.888 0.02 0.879 0.888 0.883 0.99 head 0.875 0.012 0.925 0.875 0.899 0.986 shin 0.858 0.024 0.855 0.858 0.856 0.987 thigh 0.794 0.031 0.813 0.794 0.804 0.977 upperarm 0.891 0.025 0.855 0.891 0.873 0.99 waist Weighted Avg. 0.853 0.024 0.854 0.853 0.853 0.985 === Confusion Matrix === a b c d e f g <-- classified as 658 18 7 2 35 58 13 | a = chest 14 659 40 14 5 4 53 | b = forearm 12 28 703 2 3 31 13 | c = head 12 37 12 693 18 11 9 | d = shin 25 5 10 21 680 29 23 | e = thigh 67 15 19 13 40 630 9 | f = upperarm 9 38 9 4 14 12 706 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4753 85.7633 % Incorrectly Classified Instances 789 14.2367 % Kappa statistic 0.8339 Mean absolute error 0.0762 Root mean squared error 0.176 Relative absolute error 31.0988 % Root relative squared error 50.2931 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.856 0.028 0.835 0.856 0.845 0.987 chest 0.839 0.029 0.828 0.839 0.833 0.982 forearm 0.891 0.022 0.873 0.891 0.882 0.989 head 0.885 0.01 0.936 0.885 0.91 0.99 shin 0.859 0.021 0.87 0.859 0.864 0.987 thigh 0.807 0.032 0.807 0.807 0.807 0.979 upperarm 0.866 0.023 0.861 0.866 0.863 0.989 waist Weighted Avg. 0.858 0.024 0.858 0.858 0.858 0.986 === Confusion Matrix === a b c d e f g <-- classified as 677 8 7 0 19 65 15 | a = chest 16 662 34 14 6 7 50 | b = forearm 16 27 706 2 1 31 9 | c = head 8 27 8 700 24 8 16 | d = shin 21 9 9 22 682 35 16 | e = thigh 60 10 39 6 33 640 5 | f = upperarm 13 57 6 4 19 7 686 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4712 85.0235 % Incorrectly Classified Instances 830 14.9765 % Kappa statistic 0.8253 Mean absolute error 0.0785 Root mean squared error 0.1799 Relative absolute error 32.069 % Root relative squared error 51.4111 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.842 0.032 0.813 0.842 0.827 0.982 chest 0.807 0.03 0.817 0.807 0.812 0.979 forearm 0.883 0.025 0.856 0.883 0.869 0.988 head 0.872 0.011 0.929 0.872 0.9 0.989 shin 0.858 0.02 0.878 0.858 0.868 0.986 thigh 0.807 0.031 0.815 0.807 0.811 0.977 upperarm 0.883 0.026 0.85 0.883 0.866 0.988 waist Weighted Avg. 0.85 0.025 0.851 0.85 0.85 0.984 === Confusion Matrix === a b c d e f g <-- classified as 666 14 11 2 20 60 18 | a = chest 27 637 40 14 2 7 62 | b = forearm 18 25 699 2 6 33 9 | c = head 13 37 9 690 23 5 14 | d = shin 24 7 15 21 681 34 12 | e = thigh 55 13 33 10 34 640 8 | f = upperarm 16 47 10 4 10 6 699 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 4 FOLD: 0 Correctly Classified Instances 4727 85.2787 % Incorrectly Classified Instances 816 14.7213 % Kappa statistic 0.8283 Mean absolute error 0.0783 Root mean squared error 0.1793 Relative absolute error 31.9637 % Root relative squared error 51.2285 % Total Number of Instances 5543 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.862 0.029 0.832 0.862 0.847 0.984 chest 0.819 0.03 0.818 0.819 0.818 0.982 forearm 0.871 0.024 0.86 0.871 0.866 0.985 head 0.896 0.012 0.926 0.896 0.911 0.992 shin 0.873 0.02 0.882 0.873 0.877 0.989 thigh 0.778 0.032 0.803 0.778 0.791 0.973 upperarm 0.87 0.025 0.851 0.87 0.86 0.988 waist Weighted Avg. 0.853 0.025 0.853 0.853 0.853 0.985 === Confusion Matrix === a b c d e f g <-- classified as 682 12 11 2 21 54 9 | a = chest 18 646 37 16 2 7 63 | b = forearm 18 22 690 4 6 34 18 | c = head 8 35 9 710 18 5 7 | d = shin 10 9 11 19 692 40 12 | e = thigh 62 17 37 10 38 617 12 | f = upperarm 22 49 7 6 8 11 690 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4759 85.856 % Incorrectly Classified Instances 784 14.144 % Kappa statistic 0.835 Mean absolute error 0.0775 Root mean squared error 0.1771 Relative absolute error 31.637 % Root relative squared error 50.6135 % Total Number of Instances 5543 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.852 0.03 0.827 0.852 0.839 0.984 chest 0.829 0.027 0.835 0.829 0.832 0.981 forearm 0.893 0.021 0.875 0.893 0.884 0.989 head 0.888 0.011 0.932 0.888 0.909 0.991 shin 0.864 0.023 0.862 0.864 0.863 0.986 thigh 0.796 0.032 0.806 0.796 0.801 0.975 upperarm 0.889 0.021 0.876 0.889 0.882 0.991 waist Weighted Avg. 0.859 0.024 0.859 0.859 0.859 0.985 === Confusion Matrix === a b c d e f g <-- classified as 674 15 7 4 22 58 11 | a = chest 20 654 45 13 6 7 44 | b = forearm 16 22 707 3 3 30 11 | c = head 5 32 8 703 20 13 11 | d = shin 22 8 7 20 685 35 16 | e = thigh 61 14 31 9 40 631 7 | f = upperarm 17 38 3 2 19 9 705 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4740 85.5133 % Incorrectly Classified Instances 803 14.4867 % Kappa statistic 0.831 Mean absolute error 0.0782 Root mean squared error 0.1782 Relative absolute error 31.9277 % Root relative squared error 50.9193 % Total Number of Instances 5543 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.865 0.028 0.835 0.865 0.85 0.986 chest 0.82 0.03 0.819 0.82 0.82 0.98 forearm 0.874 0.024 0.861 0.874 0.867 0.988 head 0.902 0.012 0.927 0.902 0.914 0.991 shin 0.852 0.017 0.892 0.852 0.872 0.989 thigh 0.798 0.031 0.81 0.798 0.804 0.975 upperarm 0.875 0.027 0.845 0.875 0.86 0.987 waist Weighted Avg. 0.855 0.024 0.856 0.855 0.855 0.985 === Confusion Matrix === a b c d e f g <-- classified as 684 15 9 1 12 49 21 | a = chest 21 647 34 16 5 6 60 | b = forearm 18 23 692 4 4 35 16 | c = head 6 31 14 714 13 8 6 | d = shin 24 6 11 22 676 40 14 | e = thigh 58 17 38 7 30 633 10 | f = upperarm 8 51 6 6 18 10 694 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4737 85.4746 % Incorrectly Classified Instances 805 14.5254 % Kappa statistic 0.8305 Mean absolute error 0.0772 Root mean squared error 0.1779 Relative absolute error 31.5268 % Root relative squared error 50.8469 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.848 0.027 0.839 0.848 0.843 0.985 chest 0.826 0.026 0.839 0.826 0.832 0.981 forearm 0.874 0.026 0.848 0.874 0.861 0.987 head 0.889 0.009 0.944 0.889 0.915 0.991 shin 0.869 0.023 0.861 0.869 0.865 0.987 thigh 0.805 0.034 0.797 0.805 0.801 0.978 upperarm 0.872 0.023 0.862 0.872 0.867 0.987 waist Weighted Avg. 0.855 0.024 0.856 0.855 0.855 0.985 === Confusion Matrix === a b c d e f g <-- classified as 671 11 7 2 24 61 15 | a = chest 10 651 43 11 5 12 56 | b = forearm 11 37 693 0 7 31 14 | c = head 10 30 9 703 22 8 9 | d = shin 25 5 6 21 690 38 9 | e = thigh 58 8 41 6 34 638 8 | f = upperarm 15 34 18 2 19 13 691 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4697 84.7528 % Incorrectly Classified Instances 845 15.2472 % Kappa statistic 0.8221 Mean absolute error 0.0783 Root mean squared error 0.1799 Relative absolute error 31.9815 % Root relative squared error 51.4133 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.834 0.033 0.809 0.834 0.821 0.981 chest 0.808 0.029 0.823 0.808 0.816 0.979 forearm 0.871 0.028 0.838 0.871 0.854 0.987 head 0.896 0.01 0.937 0.896 0.916 0.99 shin 0.873 0.021 0.876 0.873 0.874 0.988 thigh 0.767 0.036 0.78 0.767 0.774 0.973 upperarm 0.883 0.021 0.874 0.883 0.878 0.99 waist Weighted Avg. 0.848 0.025 0.848 0.848 0.848 0.984 === Confusion Matrix === a b c d e f g <-- classified as 660 18 8 3 23 67 12 | a = chest 25 637 48 19 5 7 47 | b = forearm 11 29 691 3 7 42 10 | c = head 12 25 11 709 16 7 11 | d = shin 23 4 12 10 693 42 10 | e = thigh 75 13 42 12 32 608 11 | f = upperarm 10 48 13 1 15 6 699 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4709 84.9693 % Incorrectly Classified Instances 833 15.0307 % Kappa statistic 0.8246 Mean absolute error 0.0789 Root mean squared error 0.1795 Relative absolute error 32.2158 % Root relative squared error 51.3039 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.826 0.032 0.811 0.826 0.818 0.983 chest 0.843 0.031 0.818 0.843 0.83 0.98 forearm 0.904 0.025 0.858 0.904 0.88 0.989 head 0.875 0.012 0.924 0.875 0.899 0.987 shin 0.839 0.024 0.856 0.839 0.847 0.986 thigh 0.773 0.032 0.802 0.773 0.787 0.974 upperarm 0.889 0.02 0.882 0.889 0.886 0.992 waist Weighted Avg. 0.85 0.025 0.85 0.85 0.85 0.984 === Confusion Matrix === a b c d e f g <-- classified as 653 15 13 4 23 72 11 | a = chest 20 664 39 19 5 3 38 | b = forearm 12 22 717 2 2 29 9 | c = head 11 46 13 692 18 4 7 | d = shin 30 11 12 17 666 38 20 | e = thigh 68 9 39 9 46 613 9 | f = upperarm 11 45 3 6 18 5 704 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4728 85.3122 % Incorrectly Classified Instances 814 14.6878 % Kappa statistic 0.8286 Mean absolute error 0.0783 Root mean squared error 0.1786 Relative absolute error 31.9918 % Root relative squared error 51.0463 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.836 0.03 0.821 0.836 0.829 0.983 chest 0.852 0.033 0.809 0.852 0.83 0.981 forearm 0.87 0.023 0.866 0.87 0.868 0.989 head 0.876 0.01 0.936 0.876 0.905 0.986 shin 0.885 0.024 0.862 0.885 0.873 0.988 thigh 0.769 0.029 0.818 0.769 0.793 0.974 upperarm 0.884 0.023 0.865 0.884 0.874 0.991 waist Weighted Avg. 0.853 0.024 0.854 0.853 0.853 0.985 === Confusion Matrix === a b c d e f g <-- classified as 662 17 12 1 29 57 14 | a = chest 16 671 26 16 3 4 52 | b = forearm 15 32 689 4 5 37 10 | c = head 9 37 10 693 27 5 10 | d = shin 22 7 10 10 703 28 14 | e = thigh 74 12 37 10 41 610 9 | f = upperarm 8 53 12 6 8 5 700 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4716 85.0956 % Incorrectly Classified Instances 826 14.9044 % Kappa statistic 0.8261 Mean absolute error 0.0782 Root mean squared error 0.179 Relative absolute error 31.9238 % Root relative squared error 51.1395 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.854 0.034 0.807 0.854 0.829 0.981 chest 0.812 0.031 0.814 0.812 0.813 0.98 forearm 0.869 0.027 0.842 0.869 0.855 0.985 head 0.887 0.011 0.931 0.887 0.909 0.989 shin 0.858 0.02 0.88 0.858 0.868 0.986 thigh 0.796 0.031 0.809 0.796 0.802 0.977 upperarm 0.881 0.02 0.88 0.881 0.881 0.99 waist Weighted Avg. 0.851 0.025 0.852 0.851 0.851 0.984 === Confusion Matrix === a b c d e f g <-- classified as 676 17 12 1 20 55 11 | a = chest 20 641 59 15 5 5 44 | b = forearm 15 33 688 6 4 37 9 | c = head 14 32 7 702 17 9 10 | d = shin 32 7 7 14 680 38 15 | e = thigh 66 9 35 13 33 631 6 | f = upperarm 15 48 9 3 14 5 698 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4736 85.4565 % Incorrectly Classified Instances 806 14.5435 % Kappa statistic 0.8303 Mean absolute error 0.0775 Root mean squared error 0.1784 Relative absolute error 31.6564 % Root relative squared error 50.9702 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.847 0.029 0.831 0.847 0.839 0.984 chest 0.837 0.031 0.818 0.837 0.827 0.981 forearm 0.895 0.021 0.879 0.895 0.887 0.99 head 0.886 0.013 0.919 0.886 0.902 0.989 shin 0.856 0.022 0.867 0.856 0.862 0.985 thigh 0.786 0.027 0.83 0.786 0.807 0.977 upperarm 0.875 0.028 0.841 0.875 0.858 0.988 waist Weighted Avg. 0.855 0.024 0.855 0.855 0.855 0.985 === Confusion Matrix === a b c d e f g <-- classified as 670 12 9 2 31 54 13 | a = chest 17 660 32 14 8 4 54 | b = forearm 12 24 709 2 1 31 13 | c = head 7 34 4 701 20 10 15 | d = shin 17 10 12 25 679 28 22 | e = thigh 63 15 31 13 34 624 14 | f = upperarm 20 52 10 6 10 1 693 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4764 85.9617 % Incorrectly Classified Instances 778 14.0383 % Kappa statistic 0.8362 Mean absolute error 0.0772 Root mean squared error 0.1771 Relative absolute error 31.5057 % Root relative squared error 50.6034 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.852 0.027 0.84 0.852 0.846 0.985 chest 0.831 0.025 0.846 0.831 0.839 0.984 forearm 0.899 0.022 0.87 0.899 0.884 0.988 head 0.879 0.011 0.928 0.879 0.903 0.989 shin 0.871 0.027 0.844 0.871 0.857 0.987 thigh 0.781 0.027 0.83 0.781 0.804 0.973 upperarm 0.904 0.024 0.861 0.904 0.882 0.99 waist Weighted Avg. 0.86 0.023 0.86 0.86 0.859 0.985 === Confusion Matrix === a b c d e f g <-- classified as 674 14 11 5 26 49 12 | a = chest 20 656 37 13 4 6 53 | b = forearm 12 27 712 3 4 24 10 | c = head 12 29 9 695 28 7 11 | d = shin 15 6 9 20 691 33 19 | e = thigh 56 15 37 8 47 619 11 | f = upperarm 13 28 3 5 19 8 717 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 5 FOLD: 0 Correctly Classified Instances 4663 84.1241 % Incorrectly Classified Instances 880 15.8759 % Kappa statistic 0.8148 Mean absolute error 0.0812 Root mean squared error 0.1834 Relative absolute error 33.1552 % Root relative squared error 52.4033 % Total Number of Instances 5543 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.842 0.029 0.828 0.842 0.835 0.983 chest 0.807 0.031 0.814 0.807 0.81 0.979 forearm 0.881 0.026 0.848 0.881 0.865 0.986 head 0.877 0.012 0.923 0.877 0.9 0.988 shin 0.843 0.03 0.826 0.843 0.834 0.982 thigh 0.765 0.035 0.786 0.765 0.776 0.973 upperarm 0.872 0.023 0.866 0.872 0.869 0.988 waist Weighted Avg. 0.841 0.026 0.842 0.841 0.841 0.983 === Confusion Matrix === a b c d e f g <-- classified as 666 16 9 4 31 54 11 | a = chest 18 637 51 15 8 6 54 | b = forearm 13 26 699 4 6 36 9 | c = head 8 30 10 694 30 7 12 | d = shin 19 6 11 19 669 55 15 | e = thigh 69 15 39 10 47 607 6 | f = upperarm 11 53 5 6 19 7 691 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4696 84.7195 % Incorrectly Classified Instances 847 15.2805 % Kappa statistic 0.8217 Mean absolute error 0.0791 Root mean squared error 0.1805 Relative absolute error 32.2994 % Root relative squared error 51.5683 % Total Number of Instances 5543 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.822 0.033 0.806 0.822 0.814 0.981 chest 0.852 0.029 0.828 0.852 0.839 0.983 forearm 0.878 0.022 0.871 0.878 0.874 0.988 head 0.875 0.012 0.925 0.875 0.899 0.987 shin 0.859 0.022 0.865 0.859 0.862 0.986 thigh 0.774 0.037 0.777 0.774 0.776 0.973 upperarm 0.871 0.023 0.863 0.871 0.867 0.989 waist Weighted Avg. 0.847 0.025 0.848 0.847 0.847 0.984 === Confusion Matrix === a b c d e f g <-- classified as 650 13 12 2 19 79 16 | a = chest 18 672 25 14 8 6 46 | b = forearm 10 34 696 5 4 34 10 | c = head 15 34 7 692 20 14 9 | d = shin 20 8 10 16 682 38 20 | e = thigh 77 9 32 13 39 614 9 | f = upperarm 16 42 17 6 16 5 690 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4743 85.5674 % Incorrectly Classified Instances 800 14.4326 % Kappa statistic 0.8316 Mean absolute error 0.0773 Root mean squared error 0.1776 Relative absolute error 31.547 % Root relative squared error 50.744 % Total Number of Instances 5543 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.85 0.029 0.83 0.85 0.839 0.984 chest 0.824 0.031 0.815 0.824 0.819 0.981 forearm 0.879 0.026 0.85 0.879 0.864 0.987 head 0.9 0.01 0.939 0.9 0.919 0.992 shin 0.861 0.02 0.88 0.861 0.871 0.988 thigh 0.791 0.03 0.814 0.791 0.802 0.974 upperarm 0.885 0.023 0.865 0.885 0.875 0.992 waist Weighted Avg. 0.856 0.024 0.856 0.856 0.856 0.985 === Confusion Matrix === a b c d e f g <-- classified as 672 19 11 1 25 55 8 | a = chest 19 650 45 16 4 8 47 | b = forearm 13 31 697 1 5 29 17 | c = head 8 27 11 712 18 8 7 | d = shin 22 9 9 15 684 36 19 | e = thigh 64 14 38 9 30 627 11 | f = upperarm 12 48 9 4 11 7 701 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4765 85.9798 % Incorrectly Classified Instances 777 14.0202 % Kappa statistic 0.8364 Mean absolute error 0.0763 Root mean squared error 0.1759 Relative absolute error 31.1468 % Root relative squared error 50.2808 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.867 0.028 0.836 0.867 0.851 0.986 chest 0.837 0.03 0.823 0.837 0.83 0.98 forearm 0.88 0.024 0.857 0.88 0.869 0.987 head 0.886 0.01 0.937 0.886 0.911 0.992 shin 0.879 0.021 0.873 0.879 0.876 0.989 thigh 0.788 0.027 0.831 0.788 0.809 0.975 upperarm 0.881 0.023 0.866 0.881 0.874 0.989 waist Weighted Avg. 0.86 0.023 0.86 0.86 0.86 0.985 === Confusion Matrix === a b c d e f g <-- classified as 686 14 10 3 20 46 12 | a = chest 15 660 45 8 8 7 46 | b = forearm 17 35 697 3 8 26 6 | c = head 6 37 10 701 16 7 14 | d = shin 23 5 5 22 698 29 12 | e = thigh 57 13 37 6 37 625 18 | f = upperarm 17 38 9 5 13 12 698 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4769 86.052 % Incorrectly Classified Instances 773 13.948 % Kappa statistic 0.8373 Mean absolute error 0.0765 Root mean squared error 0.1755 Relative absolute error 31.2226 % Root relative squared error 50.1469 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.858 0.033 0.813 0.858 0.835 0.986 chest 0.84 0.027 0.836 0.84 0.838 0.984 forearm 0.869 0.02 0.878 0.869 0.873 0.987 head 0.89 0.01 0.939 0.89 0.914 0.992 shin 0.874 0.023 0.865 0.874 0.87 0.989 thigh 0.796 0.028 0.825 0.796 0.81 0.978 upperarm 0.896 0.022 0.873 0.896 0.885 0.992 waist Weighted Avg. 0.861 0.023 0.861 0.861 0.861 0.987 === Confusion Matrix === a b c d e f g <-- classified as 679 16 7 4 30 47 8 | a = chest 19 663 41 10 1 10 45 | b = forearm 18 29 688 5 6 36 10 | c = head 10 31 8 705 20 10 8 | d = shin 28 8 10 14 693 26 14 | e = thigh 67 11 23 10 33 631 18 | f = upperarm 14 35 7 3 18 5 710 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4761 85.9076 % Incorrectly Classified Instances 781 14.0924 % Kappa statistic 0.8356 Mean absolute error 0.078 Root mean squared error 0.1776 Relative absolute error 31.8392 % Root relative squared error 50.757 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.858 0.028 0.837 0.858 0.848 0.986 chest 0.845 0.033 0.811 0.845 0.828 0.981 forearm 0.886 0.02 0.879 0.886 0.882 0.988 head 0.893 0.013 0.917 0.893 0.905 0.99 shin 0.855 0.021 0.873 0.855 0.864 0.987 thigh 0.802 0.031 0.814 0.802 0.808 0.975 upperarm 0.874 0.019 0.886 0.874 0.88 0.99 waist Weighted Avg. 0.859 0.023 0.86 0.859 0.859 0.985 === Confusion Matrix === a b c d e f g <-- classified as 679 15 5 1 20 56 15 | a = chest 17 667 34 23 6 5 37 | b = forearm 16 24 702 3 7 30 10 | c = head 9 33 12 707 15 9 7 | d = shin 27 9 7 25 678 34 13 | e = thigh 56 19 27 9 39 636 7 | f = upperarm 7 55 12 3 12 11 692 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4750 85.7091 % Incorrectly Classified Instances 792 14.2909 % Kappa statistic 0.8333 Mean absolute error 0.077 Root mean squared error 0.1776 Relative absolute error 31.4411 % Root relative squared error 50.7658 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.851 0.029 0.828 0.851 0.839 0.983 chest 0.825 0.027 0.833 0.825 0.829 0.981 forearm 0.885 0.023 0.868 0.885 0.876 0.989 head 0.905 0.013 0.92 0.905 0.913 0.991 shin 0.844 0.019 0.88 0.844 0.862 0.985 thigh 0.791 0.032 0.806 0.791 0.798 0.976 upperarm 0.899 0.023 0.865 0.899 0.882 0.989 waist Weighted Avg. 0.857 0.024 0.857 0.857 0.857 0.985 === Confusion Matrix === a b c d e f g <-- classified as 673 18 8 5 17 57 13 | a = chest 17 650 34 14 8 8 57 | b = forearm 9 36 701 5 4 29 8 | c = head 6 28 9 717 15 7 10 | d = shin 18 9 13 21 669 45 18 | e = thigh 73 12 34 12 30 627 5 | f = upperarm 17 27 9 5 17 5 713 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4715 85.0776 % Incorrectly Classified Instances 827 14.9224 % Kappa statistic 0.8259 Mean absolute error 0.078 Root mean squared error 0.1793 Relative absolute error 31.8343 % Root relative squared error 51.2316 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.832 0.029 0.827 0.832 0.829 0.984 chest 0.834 0.028 0.83 0.834 0.832 0.982 forearm 0.896 0.028 0.84 0.896 0.867 0.988 head 0.881 0.012 0.923 0.881 0.902 0.989 shin 0.866 0.023 0.864 0.866 0.865 0.987 thigh 0.787 0.033 0.801 0.787 0.794 0.974 upperarm 0.859 0.021 0.874 0.859 0.866 0.988 waist Weighted Avg. 0.851 0.025 0.851 0.851 0.851 0.985 === Confusion Matrix === a b c d e f g <-- classified as 659 6 8 6 24 75 14 | a = chest 20 657 48 15 2 4 42 | b = forearm 13 28 710 0 3 23 15 | c = head 14 35 12 697 16 7 10 | d = shin 24 5 6 20 687 37 14 | e = thigh 56 10 51 9 40 624 3 | f = upperarm 11 51 10 8 23 9 681 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4720 85.1678 % Incorrectly Classified Instances 822 14.8322 % Kappa statistic 0.827 Mean absolute error 0.0769 Root mean squared error 0.1769 Relative absolute error 31.3849 % Root relative squared error 50.5581 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.828 0.028 0.831 0.828 0.83 0.981 chest 0.825 0.031 0.816 0.825 0.82 0.981 forearm 0.905 0.027 0.847 0.905 0.875 0.989 head 0.871 0.012 0.924 0.871 0.897 0.987 shin 0.858 0.018 0.887 0.858 0.872 0.99 thigh 0.793 0.031 0.808 0.793 0.801 0.977 upperarm 0.881 0.025 0.855 0.881 0.868 0.991 waist Weighted Avg. 0.852 0.025 0.852 0.852 0.852 0.985 === Confusion Matrix === a b c d e f g <-- classified as 656 20 15 2 15 67 17 | a = chest 14 650 43 16 7 4 54 | b = forearm 14 19 717 1 2 26 13 | c = head 11 46 9 689 22 7 7 | d = shin 16 5 8 25 680 41 18 | e = thigh 63 13 41 5 32 629 10 | f = upperarm 15 44 14 8 9 4 699 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4747 85.655 % Incorrectly Classified Instances 795 14.345 % Kappa statistic 0.8326 Mean absolute error 0.0774 Root mean squared error 0.1773 Relative absolute error 31.6002 % Root relative squared error 50.6765 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.833 0.027 0.839 0.833 0.836 0.984 chest 0.819 0.026 0.839 0.819 0.829 0.982 forearm 0.889 0.023 0.865 0.889 0.877 0.987 head 0.885 0.012 0.925 0.885 0.904 0.989 shin 0.881 0.022 0.868 0.881 0.875 0.989 thigh 0.782 0.031 0.809 0.782 0.795 0.975 upperarm 0.907 0.026 0.852 0.907 0.878 0.991 waist Weighted Avg. 0.857 0.024 0.857 0.857 0.856 0.985 === Confusion Matrix === a b c d e f g <-- classified as 659 16 14 3 18 73 8 | a = chest 12 645 38 25 6 7 55 | b = forearm 16 20 704 2 4 27 19 | c = head 6 30 11 700 28 3 13 | d = shin 19 4 11 11 699 33 16 | e = thigh 64 14 30 10 41 621 14 | f = upperarm 9 40 6 6 9 4 719 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 6 FOLD: 0 Correctly Classified Instances 4738 85.4772 % Incorrectly Classified Instances 805 14.5228 % Kappa statistic 0.8306 Mean absolute error 0.0775 Root mean squared error 0.1779 Relative absolute error 31.6448 % Root relative squared error 50.8432 % Total Number of Instances 5543 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.845 0.026 0.845 0.845 0.845 0.985 chest 0.827 0.032 0.811 0.827 0.819 0.982 forearm 0.862 0.027 0.844 0.862 0.853 0.987 head 0.898 0.011 0.933 0.898 0.915 0.988 shin 0.869 0.022 0.869 0.869 0.869 0.986 thigh 0.779 0.032 0.805 0.779 0.792 0.975 upperarm 0.903 0.021 0.879 0.903 0.891 0.991 waist Weighted Avg. 0.855 0.024 0.855 0.855 0.855 0.985 === Confusion Matrix === a b c d e f g <-- classified as 669 15 9 3 24 64 8 | a = chest 14 652 42 17 8 10 45 | b = forearm 13 43 683 4 3 36 10 | c = head 7 39 7 711 16 4 8 | d = shin 20 9 9 12 689 34 20 | e = thigh 57 11 52 11 36 618 8 | f = upperarm 12 35 7 4 17 2 716 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4762 85.9102 % Incorrectly Classified Instances 781 14.0898 % Kappa statistic 0.8356 Mean absolute error 0.0772 Root mean squared error 0.1771 Relative absolute error 31.5377 % Root relative squared error 50.607 % Total Number of Instances 5543 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.851 0.03 0.827 0.851 0.839 0.985 chest 0.845 0.03 0.824 0.845 0.835 0.982 forearm 0.874 0.02 0.878 0.874 0.876 0.987 head 0.899 0.011 0.932 0.899 0.915 0.991 shin 0.855 0.017 0.891 0.855 0.873 0.987 thigh 0.808 0.034 0.798 0.808 0.803 0.976 upperarm 0.881 0.022 0.869 0.881 0.875 0.99 waist Weighted Avg. 0.859 0.023 0.86 0.859 0.859 0.985 === Confusion Matrix === a b c d e f g <-- classified as 674 18 7 1 22 63 7 | a = chest 15 666 31 13 4 9 50 | b = forearm 14 23 692 6 2 40 15 | c = head 9 28 8 712 17 6 12 | d = shin 29 9 13 18 678 34 12 | e = thigh 63 16 28 8 28 641 9 | f = upperarm 11 48 9 6 10 10 699 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4734 85.405 % Incorrectly Classified Instances 809 14.595 % Kappa statistic 0.8297 Mean absolute error 0.0776 Root mean squared error 0.1781 Relative absolute error 31.6777 % Root relative squared error 50.9063 % Total Number of Instances 5543 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.853 0.025 0.848 0.853 0.851 0.986 chest 0.824 0.033 0.805 0.824 0.814 0.979 forearm 0.871 0.024 0.858 0.871 0.865 0.987 head 0.888 0.013 0.917 0.888 0.902 0.99 shin 0.864 0.021 0.873 0.864 0.868 0.987 thigh 0.788 0.031 0.812 0.788 0.8 0.974 upperarm 0.89 0.023 0.867 0.89 0.879 0.991 waist Weighted Avg. 0.854 0.024 0.854 0.854 0.854 0.985 === Confusion Matrix === a b c d e f g <-- classified as 675 13 6 1 25 59 12 | a = chest 15 649 41 25 4 8 46 | b = forearm 17 32 690 4 5 30 14 | c = head 2 34 15 703 21 8 9 | d = shin 18 5 11 22 686 35 17 | e = thigh 61 29 29 10 29 625 10 | f = upperarm 8 44 12 2 16 5 706 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4684 84.5182 % Incorrectly Classified Instances 858 15.4818 % Kappa statistic 0.8194 Mean absolute error 0.0789 Root mean squared error 0.1802 Relative absolute error 32.2172 % Root relative squared error 51.5086 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.842 0.034 0.804 0.842 0.823 0.983 chest 0.794 0.028 0.823 0.794 0.808 0.979 forearm 0.889 0.025 0.853 0.889 0.871 0.989 head 0.885 0.011 0.933 0.885 0.909 0.987 shin 0.84 0.025 0.85 0.84 0.845 0.986 thigh 0.786 0.032 0.806 0.786 0.796 0.977 upperarm 0.88 0.026 0.851 0.88 0.865 0.988 waist Weighted Avg. 0.845 0.026 0.846 0.845 0.845 0.984 === Confusion Matrix === a b c d e f g <-- classified as 666 18 13 2 21 57 14 | a = chest 24 626 52 13 6 11 56 | b = forearm 13 27 704 1 5 25 17 | c = head 13 32 9 700 22 6 9 | d = shin 24 9 9 25 667 41 19 | e = thigh 66 10 31 6 50 623 7 | f = upperarm 22 39 7 3 14 10 698 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4756 85.8174 % Incorrectly Classified Instances 786 14.1826 % Kappa statistic 0.8345 Mean absolute error 0.0781 Root mean squared error 0.1775 Relative absolute error 31.9065 % Root relative squared error 50.7272 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.858 0.03 0.825 0.858 0.841 0.984 chest 0.848 0.032 0.815 0.848 0.831 0.982 forearm 0.889 0.021 0.875 0.889 0.882 0.989 head 0.885 0.007 0.955 0.885 0.919 0.992 shin 0.874 0.024 0.857 0.874 0.865 0.985 thigh 0.77 0.028 0.822 0.77 0.796 0.973 upperarm 0.883 0.023 0.866 0.883 0.874 0.992 waist Weighted Avg. 0.858 0.024 0.859 0.858 0.858 0.985 === Confusion Matrix === a b c d e f g <-- classified as 679 11 7 0 22 58 14 | a = chest 11 669 40 8 4 7 50 | b = forearm 12 22 704 4 10 24 16 | c = head 11 39 6 700 23 6 6 | d = shin 25 6 10 14 694 32 13 | e = thigh 73 21 35 5 39 611 9 | f = upperarm 12 53 3 2 18 5 699 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4754 85.7813 % Incorrectly Classified Instances 788 14.2187 % Kappa statistic 0.8341 Mean absolute error 0.0775 Root mean squared error 0.1778 Relative absolute error 31.6402 % Root relative squared error 50.8108 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.847 0.023 0.86 0.847 0.854 0.986 chest 0.817 0.029 0.823 0.817 0.82 0.979 forearm 0.889 0.026 0.851 0.889 0.87 0.988 head 0.885 0.013 0.917 0.885 0.901 0.986 shin 0.873 0.021 0.875 0.873 0.874 0.989 thigh 0.803 0.032 0.806 0.803 0.805 0.976 upperarm 0.89 0.021 0.874 0.89 0.882 0.99 waist Weighted Avg. 0.858 0.024 0.858 0.858 0.858 0.985 === Confusion Matrix === a b c d e f g <-- classified as 670 17 13 1 23 56 11 | a = chest 18 645 41 18 11 7 49 | b = forearm 9 25 704 0 7 36 11 | c = head 5 33 9 700 21 13 10 | d = shin 13 6 9 23 693 37 13 | e = thigh 50 15 43 15 25 637 8 | f = upperarm 14 43 8 6 12 4 705 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4692 84.6626 % Incorrectly Classified Instances 850 15.3374 % Kappa statistic 0.8211 Mean absolute error 0.0776 Root mean squared error 0.1795 Relative absolute error 31.7067 % Root relative squared error 51.2974 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.832 0.031 0.817 0.832 0.825 0.983 chest 0.824 0.03 0.819 0.824 0.821 0.981 forearm 0.878 0.025 0.856 0.878 0.867 0.989 head 0.886 0.011 0.933 0.886 0.909 0.989 shin 0.85 0.024 0.855 0.85 0.853 0.986 thigh 0.793 0.033 0.801 0.793 0.797 0.976 upperarm 0.864 0.026 0.849 0.864 0.856 0.986 waist Weighted Avg. 0.847 0.026 0.847 0.847 0.847 0.984 === Confusion Matrix === a b c d e f g <-- classified as 658 20 12 2 31 55 13 | a = chest 21 650 42 14 4 4 54 | b = forearm 12 33 696 2 3 34 13 | c = head 13 31 5 701 21 9 11 | d = shin 20 6 8 18 674 48 19 | e = thigh 65 12 36 10 29 629 12 | f = upperarm 16 42 14 4 26 6 684 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4745 85.6189 % Incorrectly Classified Instances 797 14.3811 % Kappa statistic 0.8322 Mean absolute error 0.0776 Root mean squared error 0.1778 Relative absolute error 31.6773 % Root relative squared error 50.8102 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.861 0.033 0.815 0.861 0.837 0.985 chest 0.831 0.027 0.839 0.831 0.835 0.983 forearm 0.887 0.023 0.864 0.887 0.875 0.989 head 0.876 0.009 0.939 0.876 0.906 0.991 shin 0.874 0.022 0.867 0.874 0.871 0.986 thigh 0.784 0.029 0.819 0.784 0.802 0.976 upperarm 0.88 0.025 0.856 0.88 0.868 0.988 waist Weighted Avg. 0.856 0.024 0.857 0.856 0.856 0.985 === Confusion Matrix === a b c d e f g <-- classified as 681 12 8 3 17 52 18 | a = chest 22 656 34 12 6 4 55 | b = forearm 18 21 703 4 4 36 7 | c = head 14 28 11 693 23 7 15 | d = shin 18 8 10 16 693 35 13 | e = thigh 67 10 40 5 40 622 9 | f = upperarm 16 47 8 5 16 3 697 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4697 84.7528 % Incorrectly Classified Instances 845 15.2472 % Kappa statistic 0.8221 Mean absolute error 0.0782 Root mean squared error 0.1795 Relative absolute error 31.9383 % Root relative squared error 51.2888 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.832 0.033 0.808 0.832 0.82 0.981 chest 0.831 0.029 0.825 0.831 0.828 0.983 forearm 0.893 0.027 0.848 0.893 0.87 0.988 head 0.889 0.016 0.904 0.889 0.896 0.991 shin 0.856 0.022 0.868 0.856 0.862 0.987 thigh 0.758 0.029 0.815 0.758 0.786 0.974 upperarm 0.874 0.023 0.864 0.874 0.869 0.988 waist Weighted Avg. 0.848 0.025 0.848 0.848 0.847 0.984 === Confusion Matrix === a b c d e f g <-- classified as 658 22 9 5 22 58 17 | a = chest 13 656 49 18 5 5 43 | b = forearm 18 20 708 1 5 29 12 | c = head 10 33 13 703 18 6 8 | d = shin 23 8 9 23 679 32 19 | e = thigh 79 7 36 20 40 601 10 | f = upperarm 13 49 11 8 13 6 692 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4751 85.7272 % Incorrectly Classified Instances 791 14.2728 % Kappa statistic 0.8335 Mean absolute error 0.0769 Root mean squared error 0.1764 Relative absolute error 31.4068 % Root relative squared error 50.4215 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.834 0.035 0.8 0.834 0.817 0.982 chest 0.837 0.03 0.823 0.837 0.83 0.983 forearm 0.878 0.021 0.873 0.878 0.875 0.986 head 0.896 0.008 0.947 0.896 0.921 0.992 shin 0.874 0.019 0.883 0.874 0.878 0.99 thigh 0.797 0.031 0.814 0.797 0.805 0.978 upperarm 0.885 0.022 0.869 0.885 0.877 0.99 waist Weighted Avg. 0.857 0.024 0.858 0.857 0.858 0.986 === Confusion Matrix === a b c d e f g <-- classified as 660 15 12 5 22 63 14 | a = chest 24 660 32 10 6 5 52 | b = forearm 13 34 695 2 2 36 10 | c = head 8 32 10 709 14 9 9 | d = shin 31 9 8 15 693 23 14 | e = thigh 75 8 29 7 35 633 7 | f = upperarm 14 44 10 1 13 9 701 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 7 FOLD: 0 Correctly Classified Instances 4744 85.5854 % Incorrectly Classified Instances 799 14.4146 % Kappa statistic 0.8318 Mean absolute error 0.0776 Root mean squared error 0.1775 Relative absolute error 31.6884 % Root relative squared error 50.7188 % Total Number of Instances 5543 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.826 0.029 0.826 0.826 0.826 0.981 chest 0.845 0.029 0.827 0.845 0.836 0.981 forearm 0.879 0.023 0.865 0.879 0.872 0.987 head 0.893 0.009 0.941 0.893 0.916 0.991 shin 0.873 0.025 0.853 0.873 0.863 0.987 thigh 0.782 0.03 0.813 0.782 0.797 0.976 upperarm 0.894 0.023 0.869 0.894 0.881 0.991 waist Weighted Avg. 0.856 0.024 0.856 0.856 0.856 0.985 === Confusion Matrix === a b c d e f g <-- classified as 654 26 11 0 26 61 14 | a = chest 15 666 36 7 12 9 43 | b = forearm 12 22 696 3 7 35 17 | c = head 10 29 7 706 21 7 11 | d = shin 24 5 10 19 693 28 15 | e = thigh 67 12 36 12 39 620 7 | f = upperarm 10 45 9 3 14 3 709 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4720 85.1524 % Incorrectly Classified Instances 823 14.8476 % Kappa statistic 0.8268 Mean absolute error 0.0785 Root mean squared error 0.1792 Relative absolute error 32.0626 % Root relative squared error 51.2016 % Total Number of Instances 5543 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.824 0.027 0.835 0.824 0.83 0.984 chest 0.826 0.032 0.812 0.826 0.819 0.979 forearm 0.893 0.022 0.871 0.893 0.882 0.989 head 0.893 0.01 0.935 0.893 0.913 0.99 shin 0.863 0.02 0.876 0.863 0.869 0.987 thigh 0.789 0.036 0.783 0.789 0.786 0.975 upperarm 0.873 0.025 0.853 0.873 0.863 0.987 waist Weighted Avg. 0.852 0.025 0.852 0.852 0.852 0.985 === Confusion Matrix === a b c d e f g <-- classified as 653 14 11 2 24 77 11 | a = chest 13 651 34 13 9 10 58 | b = forearm 11 33 707 3 1 27 10 | c = head 7 35 6 706 15 9 13 | d = shin 15 6 12 15 685 42 19 | e = thigh 71 16 30 9 33 626 8 | f = upperarm 12 47 12 7 15 8 692 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4733 85.387 % Incorrectly Classified Instances 810 14.613 % Kappa statistic 0.8295 Mean absolute error 0.0779 Root mean squared error 0.1784 Relative absolute error 31.8151 % Root relative squared error 50.9769 % Total Number of Instances 5543 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.874 0.028 0.838 0.874 0.855 0.985 chest 0.838 0.03 0.824 0.838 0.831 0.982 forearm 0.86 0.024 0.858 0.86 0.859 0.987 head 0.871 0.011 0.929 0.871 0.899 0.986 shin 0.849 0.018 0.886 0.849 0.867 0.987 thigh 0.797 0.036 0.787 0.797 0.792 0.974 upperarm 0.889 0.023 0.864 0.889 0.876 0.99 waist Weighted Avg. 0.854 0.024 0.855 0.854 0.854 0.984 === Confusion Matrix === a b c d e f g <-- classified as 691 9 8 1 16 55 11 | a = chest 18 660 33 17 4 9 47 | b = forearm 15 34 681 3 6 42 11 | c = head 12 37 10 689 19 9 15 | d = shin 18 7 12 18 674 51 14 | e = thigh 59 8 45 9 27 633 13 | f = upperarm 12 46 5 5 15 5 705 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4737 85.4746 % Incorrectly Classified Instances 805 14.5254 % Kappa statistic 0.8305 Mean absolute error 0.0776 Root mean squared error 0.1781 Relative absolute error 31.7055 % Root relative squared error 50.884 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.865 0.028 0.835 0.865 0.85 0.986 chest 0.811 0.03 0.818 0.811 0.815 0.981 forearm 0.879 0.025 0.855 0.879 0.867 0.989 head 0.891 0.012 0.928 0.891 0.909 0.991 shin 0.865 0.022 0.868 0.865 0.867 0.986 thigh 0.796 0.03 0.814 0.796 0.805 0.978 upperarm 0.876 0.023 0.867 0.876 0.871 0.989 waist Weighted Avg. 0.855 0.024 0.855 0.855 0.855 0.985 === Confusion Matrix === a b c d e f g <-- classified as 684 15 9 6 20 50 7 | a = chest 21 639 49 17 5 7 50 | b = forearm 13 24 696 1 6 39 13 | c = head 11 27 11 706 19 12 6 | d = shin 19 15 8 20 686 25 20 | e = thigh 59 16 33 6 37 631 11 | f = upperarm 12 45 8 5 17 11 695 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4767 86.0159 % Incorrectly Classified Instances 775 13.9841 % Kappa statistic 0.8369 Mean absolute error 0.0773 Root mean squared error 0.1767 Relative absolute error 31.5541 % Root relative squared error 50.4969 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.826 0.028 0.832 0.826 0.829 0.982 chest 0.823 0.028 0.831 0.823 0.827 0.981 forearm 0.899 0.027 0.85 0.899 0.874 0.987 head 0.896 0.008 0.947 0.896 0.921 0.991 shin 0.868 0.02 0.879 0.868 0.873 0.989 thigh 0.812 0.032 0.809 0.812 0.811 0.975 upperarm 0.898 0.021 0.879 0.898 0.888 0.993 waist Weighted Avg. 0.86 0.023 0.861 0.86 0.86 0.986 === Confusion Matrix === a b c d e f g <-- classified as 653 16 19 1 18 72 12 | a = chest 21 649 48 11 5 6 49 | b = forearm 12 29 712 4 7 18 10 | c = head 7 31 10 710 25 4 5 | d = shin 20 6 10 12 688 46 11 | e = thigh 59 12 31 8 28 644 11 | f = upperarm 13 38 8 4 12 6 711 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4707 84.9332 % Incorrectly Classified Instances 835 15.0668 % Kappa statistic 0.8242 Mean absolute error 0.0774 Root mean squared error 0.178 Relative absolute error 31.6046 % Root relative squared error 50.8559 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.863 0.033 0.812 0.863 0.837 0.985 chest 0.823 0.031 0.817 0.823 0.82 0.982 forearm 0.871 0.025 0.855 0.871 0.863 0.988 head 0.891 0.014 0.916 0.891 0.903 0.99 shin 0.86 0.02 0.878 0.86 0.869 0.988 thigh 0.774 0.03 0.811 0.774 0.792 0.975 upperarm 0.862 0.024 0.859 0.862 0.861 0.989 waist Weighted Avg. 0.849 0.025 0.85 0.849 0.849 0.985 === Confusion Matrix === a b c d e f g <-- classified as 683 10 12 0 14 55 17 | a = chest 20 649 45 15 4 6 50 | b = forearm 21 34 690 3 5 28 11 | c = head 10 39 7 706 14 4 12 | d = shin 20 6 8 28 682 37 12 | e = thigh 71 14 30 13 41 614 10 | f = upperarm 16 42 15 6 17 13 683 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4693 84.6806 % Incorrectly Classified Instances 849 15.3194 % Kappa statistic 0.8213 Mean absolute error 0.0793 Root mean squared error 0.1812 Relative absolute error 32.3673 % Root relative squared error 51.7721 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.813 0.028 0.83 0.813 0.821 0.981 chest 0.825 0.031 0.818 0.825 0.821 0.98 forearm 0.88 0.027 0.844 0.88 0.862 0.987 head 0.881 0.013 0.92 0.881 0.9 0.99 shin 0.851 0.024 0.857 0.851 0.854 0.983 thigh 0.798 0.033 0.8 0.798 0.799 0.975 upperarm 0.879 0.023 0.862 0.879 0.871 0.989 waist Weighted Avg. 0.847 0.026 0.847 0.847 0.847 0.984 === Confusion Matrix === a b c d e f g <-- classified as 643 15 10 4 33 75 11 | a = chest 18 651 38 21 3 8 50 | b = forearm 18 31 698 4 5 28 9 | c = head 12 33 12 697 23 5 9 | d = shin 17 7 15 15 675 38 26 | e = thigh 53 16 42 11 32 633 6 | f = upperarm 14 43 12 6 17 4 696 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4747 85.655 % Incorrectly Classified Instances 795 14.345 % Kappa statistic 0.8326 Mean absolute error 0.0778 Root mean squared error 0.1781 Relative absolute error 31.776 % Root relative squared error 50.9052 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.875 0.03 0.83 0.875 0.852 0.986 chest 0.825 0.03 0.819 0.825 0.822 0.981 forearm 0.884 0.021 0.873 0.884 0.878 0.988 head 0.901 0.012 0.924 0.901 0.912 0.989 shin 0.871 0.023 0.865 0.871 0.868 0.988 thigh 0.778 0.031 0.81 0.778 0.794 0.974 upperarm 0.861 0.02 0.878 0.861 0.869 0.989 waist Weighted Avg. 0.857 0.024 0.857 0.857 0.856 0.985 === Confusion Matrix === a b c d e f g <-- classified as 692 16 4 1 21 49 8 | a = chest 17 651 40 20 5 3 53 | b = forearm 15 30 701 1 2 34 10 | c = head 10 28 7 713 18 8 7 | d = shin 20 7 6 23 691 36 10 | e = thigh 65 10 39 8 47 617 7 | f = upperarm 15 53 6 6 15 15 682 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4717 85.1137 % Incorrectly Classified Instances 825 14.8863 % Kappa statistic 0.8263 Mean absolute error 0.079 Root mean squared error 0.1801 Relative absolute error 32.2431 % Root relative squared error 51.4692 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.853 0.031 0.82 0.853 0.836 0.984 chest 0.845 0.031 0.819 0.845 0.832 0.982 forearm 0.885 0.023 0.866 0.885 0.875 0.99 head 0.867 0.011 0.927 0.867 0.896 0.989 shin 0.852 0.02 0.878 0.852 0.865 0.986 thigh 0.781 0.031 0.807 0.781 0.794 0.974 upperarm 0.874 0.026 0.847 0.874 0.86 0.988 waist Weighted Avg. 0.851 0.025 0.852 0.851 0.851 0.985 === Confusion Matrix === a b c d e f g <-- classified as 675 14 8 6 20 59 9 | a = chest 12 667 33 14 4 3 56 | b = forearm 8 23 702 3 7 36 14 | c = head 7 46 9 686 20 11 12 | d = shin 23 8 8 22 676 36 20 | e = thigh 83 14 30 5 28 619 14 | f = upperarm 15 42 21 4 15 3 692 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4765 85.9798 % Incorrectly Classified Instances 777 14.0202 % Kappa statistic 0.8364 Mean absolute error 0.0765 Root mean squared error 0.1761 Relative absolute error 31.2268 % Root relative squared error 50.3305 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.85 0.029 0.832 0.85 0.841 0.983 chest 0.838 0.027 0.838 0.838 0.838 0.983 forearm 0.88 0.025 0.856 0.88 0.868 0.989 head 0.879 0.012 0.925 0.879 0.901 0.989 shin 0.861 0.021 0.87 0.861 0.866 0.987 thigh 0.801 0.028 0.826 0.801 0.813 0.976 upperarm 0.91 0.022 0.874 0.91 0.892 0.992 waist Weighted Avg. 0.86 0.023 0.86 0.86 0.86 0.986 === Confusion Matrix === a b c d e f g <-- classified as 672 11 9 5 32 45 17 | a = chest 16 661 42 18 5 3 44 | b = forearm 11 25 697 6 3 33 17 | c = head 15 31 11 695 24 7 8 | d = shin 25 12 7 18 684 39 9 | e = thigh 55 16 44 8 26 635 9 | f = upperarm 14 33 4 1 12 7 721 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 8 FOLD: 0 Correctly Classified Instances 4728 85.2968 % Incorrectly Classified Instances 815 14.7032 % Kappa statistic 0.8285 Mean absolute error 0.0788 Root mean squared error 0.179 Relative absolute error 32.1794 % Root relative squared error 51.1676 % Total Number of Instances 5543 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.846 0.029 0.83 0.846 0.838 0.983 chest 0.817 0.028 0.827 0.817 0.822 0.981 forearm 0.884 0.024 0.86 0.884 0.872 0.99 head 0.899 0.013 0.922 0.899 0.91 0.988 shin 0.843 0.018 0.885 0.843 0.863 0.987 thigh 0.793 0.035 0.79 0.793 0.792 0.974 upperarm 0.889 0.024 0.86 0.889 0.874 0.989 waist Weighted Avg. 0.853 0.025 0.853 0.853 0.853 0.984 === Confusion Matrix === a b c d e f g <-- classified as 669 18 12 4 14 61 13 | a = chest 23 645 36 23 7 9 46 | b = forearm 9 30 700 2 4 35 12 | c = head 10 23 11 711 14 10 12 | d = shin 19 11 12 15 669 47 21 | e = thigh 61 14 33 11 34 629 11 | f = upperarm 15 39 10 5 14 5 705 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4728 85.2968 % Incorrectly Classified Instances 815 14.7032 % Kappa statistic 0.8285 Mean absolute error 0.0764 Root mean squared error 0.1768 Relative absolute error 31.2106 % Root relative squared error 50.5291 % Total Number of Instances 5543 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.846 0.03 0.826 0.846 0.836 0.984 chest 0.831 0.029 0.826 0.831 0.829 0.98 forearm 0.885 0.026 0.851 0.885 0.868 0.987 head 0.885 0.01 0.938 0.885 0.911 0.992 shin 0.851 0.024 0.856 0.851 0.853 0.985 thigh 0.791 0.033 0.801 0.791 0.796 0.977 upperarm 0.881 0.02 0.878 0.881 0.88 0.99 waist Weighted Avg. 0.853 0.025 0.854 0.853 0.853 0.985 === Confusion Matrix === a b c d e f g <-- classified as 670 14 8 0 21 68 11 | a = chest 20 656 42 9 9 4 49 | b = forearm 15 24 702 3 4 32 13 | c = head 12 32 7 700 28 7 5 | d = shin 20 14 14 20 675 39 11 | e = thigh 58 9 40 10 41 627 8 | f = upperarm 16 45 12 4 11 6 698 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4697 84.7375 % Incorrectly Classified Instances 846 15.2625 % Kappa statistic 0.8219 Mean absolute error 0.0788 Root mean squared error 0.1803 Relative absolute error 32.1731 % Root relative squared error 51.5343 % Total Number of Instances 5543 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.848 0.03 0.825 0.848 0.836 0.985 chest 0.795 0.033 0.802 0.795 0.798 0.978 forearm 0.892 0.029 0.839 0.892 0.864 0.987 head 0.88 0.01 0.934 0.88 0.906 0.989 shin 0.875 0.021 0.873 0.875 0.874 0.987 thigh 0.773 0.03 0.811 0.773 0.791 0.974 upperarm 0.869 0.025 0.853 0.869 0.861 0.988 waist Weighted Avg. 0.847 0.025 0.848 0.847 0.847 0.984 === Confusion Matrix === a b c d e f g <-- classified as 672 18 7 4 20 61 10 | a = chest 20 627 53 16 3 9 61 | b = forearm 16 28 707 2 6 24 10 | c = head 8 32 10 696 25 6 14 | d = shin 14 12 13 16 694 30 14 | e = thigh 67 20 44 6 33 613 10 | f = upperarm 18 45 9 5 14 13 688 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4718 85.1317 % Incorrectly Classified Instances 824 14.8683 % Kappa statistic 0.8265 Mean absolute error 0.0783 Root mean squared error 0.1792 Relative absolute error 31.956 % Root relative squared error 51.2233 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.837 0.029 0.83 0.837 0.833 0.984 chest 0.84 0.03 0.823 0.84 0.831 0.982 forearm 0.878 0.023 0.864 0.878 0.871 0.989 head 0.886 0.012 0.927 0.886 0.906 0.989 shin 0.834 0.023 0.861 0.834 0.847 0.985 thigh 0.801 0.031 0.812 0.801 0.806 0.977 upperarm 0.884 0.027 0.847 0.884 0.865 0.99 waist Weighted Avg. 0.851 0.025 0.852 0.851 0.851 0.985 === Confusion Matrix === a b c d e f g <-- classified as 662 19 13 2 31 50 14 | a = chest 18 663 40 16 2 2 48 | b = forearm 17 25 696 0 2 34 19 | c = head 2 41 9 701 19 5 14 | d = shin 28 7 8 18 661 50 21 | e = thigh 52 14 26 15 41 635 10 | f = upperarm 19 37 14 4 12 6 700 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4768 86.0339 % Incorrectly Classified Instances 774 13.9661 % Kappa statistic 0.8371 Mean absolute error 0.0763 Root mean squared error 0.1759 Relative absolute error 31.1581 % Root relative squared error 50.2655 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.858 0.031 0.821 0.858 0.839 0.985 chest 0.83 0.027 0.838 0.83 0.834 0.981 forearm 0.88 0.024 0.862 0.88 0.871 0.988 head 0.886 0.011 0.929 0.886 0.907 0.989 shin 0.87 0.021 0.875 0.87 0.872 0.987 thigh 0.797 0.029 0.823 0.797 0.81 0.977 upperarm 0.9 0.021 0.879 0.9 0.89 0.992 waist Weighted Avg. 0.86 0.023 0.861 0.86 0.86 0.986 === Confusion Matrix === a b c d e f g <-- classified as 679 11 10 3 30 45 13 | a = chest 17 655 45 21 0 6 45 | b = forearm 15 26 697 1 4 34 15 | c = head 11 35 9 702 20 8 7 | d = shin 22 2 9 20 690 37 13 | e = thigh 70 17 33 5 31 632 5 | f = upperarm 13 36 6 4 14 6 713 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4743 85.5828 % Incorrectly Classified Instances 799 14.4172 % Kappa statistic 0.8318 Mean absolute error 0.078 Root mean squared error 0.1779 Relative absolute error 31.8507 % Root relative squared error 50.8359 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.837 0.027 0.837 0.837 0.837 0.984 chest 0.838 0.027 0.836 0.838 0.837 0.983 forearm 0.885 0.023 0.865 0.885 0.875 0.988 head 0.896 0.011 0.929 0.896 0.913 0.993 shin 0.871 0.026 0.849 0.871 0.86 0.986 thigh 0.788 0.032 0.805 0.788 0.797 0.976 upperarm 0.875 0.022 0.871 0.875 0.873 0.989 waist Weighted Avg. 0.856 0.024 0.856 0.856 0.856 0.986 === Confusion Matrix === a b c d e f g <-- classified as 662 13 8 4 29 67 8 | a = chest 17 661 38 14 7 5 47 | b = forearm 11 26 701 2 7 34 11 | c = head 8 32 10 710 19 5 8 | d = shin 20 5 13 20 691 31 13 | e = thigh 58 9 34 6 45 625 16 | f = upperarm 15 45 6 8 16 9 693 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4742 85.5648 % Incorrectly Classified Instances 800 14.4352 % Kappa statistic 0.8316 Mean absolute error 0.0783 Root mean squared error 0.1788 Relative absolute error 31.9819 % Root relative squared error 51.085 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.856 0.028 0.838 0.856 0.847 0.985 chest 0.816 0.029 0.823 0.816 0.82 0.98 forearm 0.87 0.02 0.878 0.87 0.874 0.989 head 0.913 0.013 0.919 0.913 0.916 0.99 shin 0.866 0.023 0.864 0.866 0.865 0.986 thigh 0.79 0.03 0.814 0.79 0.802 0.973 upperarm 0.879 0.025 0.853 0.879 0.866 0.988 waist Weighted Avg. 0.856 0.024 0.856 0.856 0.856 0.985 === Confusion Matrix === a b c d e f g <-- classified as 677 11 7 0 25 60 11 | a = chest 12 643 39 22 7 4 61 | b = forearm 13 36 689 6 1 33 14 | c = head 10 28 12 723 12 1 6 | d = shin 21 4 4 24 687 34 19 | e = thigh 62 12 27 7 50 627 9 | f = upperarm 13 47 7 5 13 11 696 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4760 85.8896 % Incorrectly Classified Instances 782 14.1104 % Kappa statistic 0.8354 Mean absolute error 0.0761 Root mean squared error 0.1755 Relative absolute error 31.0817 % Root relative squared error 50.1397 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.85 0.029 0.832 0.85 0.841 0.984 chest 0.82 0.028 0.829 0.82 0.825 0.981 forearm 0.871 0.022 0.87 0.871 0.871 0.989 head 0.882 0.012 0.925 0.882 0.903 0.989 shin 0.873 0.021 0.873 0.873 0.873 0.99 thigh 0.816 0.03 0.821 0.816 0.818 0.978 upperarm 0.9 0.023 0.865 0.9 0.883 0.991 waist Weighted Avg. 0.859 0.024 0.859 0.859 0.859 0.986 === Confusion Matrix === a b c d e f g <-- classified as 672 11 16 5 20 52 15 | a = chest 27 646 33 22 5 11 44 | b = forearm 11 36 690 4 7 30 14 | c = head 11 32 9 698 23 9 9 | d = shin 24 3 5 15 693 38 16 | e = thigh 47 11 33 8 34 647 13 | f = upperarm 16 40 7 3 12 1 714 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4753 85.7633 % Incorrectly Classified Instances 789 14.2367 % Kappa statistic 0.8339 Mean absolute error 0.0775 Root mean squared error 0.1778 Relative absolute error 31.6465 % Root relative squared error 50.8027 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.851 0.029 0.831 0.851 0.841 0.985 chest 0.835 0.028 0.834 0.835 0.834 0.981 forearm 0.891 0.026 0.85 0.891 0.87 0.988 head 0.876 0.011 0.933 0.876 0.904 0.99 shin 0.888 0.021 0.876 0.888 0.882 0.989 thigh 0.777 0.032 0.8 0.777 0.788 0.973 upperarm 0.885 0.019 0.884 0.885 0.885 0.991 waist Weighted Avg. 0.858 0.024 0.858 0.858 0.858 0.985 === Confusion Matrix === a b c d e f g <-- classified as 673 14 11 2 16 63 12 | a = chest 16 658 44 12 8 5 45 | b = forearm 9 20 706 3 8 35 11 | c = head 16 34 10 693 25 6 7 | d = shin 13 5 6 15 705 38 12 | e = thigh 72 19 43 9 29 616 5 | f = upperarm 11 39 11 9 14 7 702 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4698 84.7708 % Incorrectly Classified Instances 844 15.2292 % Kappa statistic 0.8223 Mean absolute error 0.079 Root mean squared error 0.1804 Relative absolute error 32.2425 % Root relative squared error 51.5672 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.828 0.028 0.833 0.828 0.831 0.979 chest 0.843 0.036 0.793 0.843 0.817 0.984 forearm 0.872 0.024 0.857 0.872 0.865 0.985 head 0.877 0.013 0.919 0.877 0.898 0.99 shin 0.858 0.02 0.875 0.858 0.866 0.985 thigh 0.776 0.032 0.803 0.776 0.789 0.974 upperarm 0.88 0.024 0.857 0.88 0.869 0.989 waist Weighted Avg. 0.848 0.025 0.848 0.848 0.848 0.984 === Confusion Matrix === a b c d e f g <-- classified as 655 28 9 3 17 64 15 | a = chest 13 664 37 15 5 3 51 | b = forearm 15 35 691 3 9 29 10 | c = head 7 40 11 694 15 13 11 | d = shin 19 7 11 21 681 36 19 | e = thigh 71 15 34 12 36 615 10 | f = upperarm 6 48 13 7 15 6 698 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 9 FOLD: 0 Correctly Classified Instances 4740 85.5133 % Incorrectly Classified Instances 803 14.4867 % Kappa statistic 0.831 Mean absolute error 0.078 Root mean squared error 0.1779 Relative absolute error 31.8338 % Root relative squared error 50.8455 % Total Number of Instances 5543 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.856 0.032 0.815 0.856 0.835 0.984 chest 0.834 0.032 0.814 0.834 0.824 0.981 forearm 0.87 0.021 0.872 0.87 0.871 0.989 head 0.883 0.01 0.934 0.883 0.908 0.988 shin 0.864 0.024 0.856 0.864 0.86 0.987 thigh 0.788 0.027 0.831 0.788 0.809 0.976 upperarm 0.892 0.023 0.869 0.892 0.88 0.99 waist Weighted Avg. 0.855 0.024 0.856 0.855 0.855 0.985 === Confusion Matrix === a b c d e f g <-- classified as 677 18 6 2 30 47 11 | a = chest 12 657 40 16 8 5 50 | b = forearm 27 30 689 3 4 29 10 | c = head 11 41 7 699 20 5 9 | d = shin 22 6 10 12 686 37 21 | e = thigh 67 16 27 13 39 625 6 | f = upperarm 15 39 11 3 14 4 707 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4722 85.1885 % Incorrectly Classified Instances 821 14.8115 % Kappa statistic 0.8272 Mean absolute error 0.078 Root mean squared error 0.1789 Relative absolute error 31.846 % Root relative squared error 51.1368 % Total Number of Instances 5543 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.846 0.031 0.822 0.846 0.834 0.984 chest 0.834 0.03 0.823 0.834 0.828 0.98 forearm 0.896 0.028 0.842 0.896 0.869 0.988 head 0.889 0.011 0.93 0.889 0.909 0.989 shin 0.854 0.024 0.858 0.854 0.856 0.986 thigh 0.763 0.029 0.813 0.763 0.787 0.974 upperarm 0.881 0.021 0.877 0.881 0.879 0.99 waist Weighted Avg. 0.852 0.025 0.852 0.852 0.852 0.985 === Confusion Matrix === a b c d e f g <-- classified as 669 11 12 1 21 59 18 | a = chest 18 657 49 23 2 6 33 | b = forearm 7 25 710 2 4 27 17 | c = head 10 28 9 704 26 7 8 | d = shin 34 12 11 15 678 32 12 | e = thigh 66 15 43 7 47 605 10 | f = upperarm 10 50 9 5 12 8 699 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4712 85.0081 % Incorrectly Classified Instances 831 14.9919 % Kappa statistic 0.8251 Mean absolute error 0.0793 Root mean squared error 0.1798 Relative absolute error 32.3604 % Root relative squared error 51.3695 % Total Number of Instances 5543 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.836 0.028 0.832 0.836 0.834 0.983 chest 0.84 0.028 0.834 0.84 0.837 0.984 forearm 0.87 0.027 0.843 0.87 0.856 0.986 head 0.879 0.011 0.932 0.879 0.904 0.99 shin 0.877 0.027 0.843 0.877 0.859 0.988 thigh 0.77 0.032 0.803 0.77 0.786 0.972 upperarm 0.879 0.023 0.867 0.879 0.873 0.989 waist Weighted Avg. 0.85 0.025 0.851 0.85 0.85 0.984 === Confusion Matrix === a b c d e f g <-- classified as 661 13 10 1 36 57 13 | a = chest 8 662 41 14 6 6 51 | b = forearm 18 23 689 5 4 40 13 | c = head 13 34 13 696 19 7 10 | d = shin 16 10 11 19 696 31 11 | e = thigh 64 12 43 11 43 611 9 | f = upperarm 14 40 10 1 22 9 697 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4774 86.1422 % Incorrectly Classified Instances 768 13.8578 % Kappa statistic 0.8383 Mean absolute error 0.0777 Root mean squared error 0.1777 Relative absolute error 31.7265 % Root relative squared error 50.7717 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.838 0.027 0.837 0.838 0.838 0.984 chest 0.816 0.025 0.842 0.816 0.829 0.98 forearm 0.904 0.026 0.853 0.904 0.878 0.988 head 0.898 0.011 0.933 0.898 0.915 0.99 shin 0.868 0.017 0.894 0.868 0.881 0.987 thigh 0.812 0.034 0.8 0.812 0.806 0.975 upperarm 0.894 0.021 0.875 0.894 0.885 0.991 waist Weighted Avg. 0.861 0.023 0.862 0.861 0.861 0.985 === Confusion Matrix === a b c d e f g <-- classified as 663 18 11 1 20 65 13 | a = chest 24 643 48 21 3 8 41 | b = forearm 8 22 716 4 4 31 7 | c = head 9 32 6 710 13 7 14 | d = shin 18 7 10 14 689 41 15 | e = thigh 56 11 35 4 32 644 11 | f = upperarm 14 31 13 7 10 9 709 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4763 85.9437 % Incorrectly Classified Instances 779 14.0563 % Kappa statistic 0.836 Mean absolute error 0.0774 Root mean squared error 0.1778 Relative absolute error 31.6049 % Root relative squared error 50.8107 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.846 0.027 0.842 0.846 0.844 0.983 chest 0.84 0.029 0.829 0.84 0.834 0.982 forearm 0.897 0.025 0.859 0.897 0.877 0.989 head 0.896 0.011 0.934 0.896 0.915 0.99 shin 0.869 0.019 0.887 0.869 0.878 0.987 thigh 0.794 0.031 0.813 0.794 0.804 0.974 upperarm 0.874 0.024 0.856 0.874 0.865 0.989 waist Weighted Avg. 0.859 0.023 0.86 0.859 0.859 0.985 === Confusion Matrix === a b c d e f g <-- classified as 669 14 9 2 24 58 15 | a = chest 17 663 35 12 3 9 50 | b = forearm 6 24 711 4 3 33 12 | c = head 11 31 7 709 14 2 17 | d = shin 28 4 12 17 689 35 8 | e = thigh 52 14 43 11 29 630 14 | f = upperarm 12 50 11 4 15 8 692 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4715 85.0776 % Incorrectly Classified Instances 827 14.9224 % Kappa statistic 0.8259 Mean absolute error 0.0784 Root mean squared error 0.179 Relative absolute error 32.0183 % Root relative squared error 51.1576 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.856 0.03 0.825 0.856 0.84 0.985 chest 0.845 0.033 0.808 0.845 0.827 0.982 forearm 0.874 0.02 0.882 0.874 0.878 0.988 head 0.886 0.013 0.916 0.886 0.901 0.987 shin 0.863 0.021 0.87 0.863 0.866 0.987 thigh 0.759 0.033 0.791 0.759 0.775 0.973 upperarm 0.872 0.023 0.866 0.872 0.869 0.989 waist Weighted Avg. 0.851 0.025 0.851 0.851 0.851 0.985 === Confusion Matrix === a b c d e f g <-- classified as 677 15 6 1 14 59 19 | a = chest 15 667 37 10 5 5 50 | b = forearm 11 35 693 5 6 32 11 | c = head 6 38 6 701 21 9 10 | d = shin 28 4 5 20 684 43 9 | e = thigh 71 14 33 21 44 602 8 | f = upperarm 13 52 6 7 12 11 691 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4734 85.4204 % Incorrectly Classified Instances 808 14.5796 % Kappa statistic 0.8299 Mean absolute error 0.076 Root mean squared error 0.1763 Relative absolute error 31.04 % Root relative squared error 50.3807 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.843 0.029 0.827 0.843 0.835 0.983 chest 0.825 0.028 0.832 0.825 0.829 0.982 forearm 0.884 0.021 0.876 0.884 0.88 0.989 head 0.895 0.011 0.932 0.895 0.913 0.993 shin 0.856 0.024 0.854 0.856 0.855 0.986 thigh 0.808 0.032 0.81 0.808 0.809 0.978 upperarm 0.867 0.025 0.851 0.867 0.859 0.99 waist Weighted Avg. 0.854 0.024 0.855 0.854 0.854 0.986 === Confusion Matrix === a b c d e f g <-- classified as 667 10 13 6 23 62 10 | a = chest 20 651 36 15 9 7 51 | b = forearm 13 23 701 4 4 31 17 | c = head 13 24 9 708 22 9 6 | d = shin 17 11 9 18 679 33 26 | e = thigh 58 15 23 6 40 641 10 | f = upperarm 19 48 9 3 18 8 687 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4726 85.2761 % Incorrectly Classified Instances 816 14.7239 % Kappa statistic 0.8282 Mean absolute error 0.0767 Root mean squared error 0.1774 Relative absolute error 31.3129 % Root relative squared error 50.7006 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.84 0.029 0.826 0.84 0.833 0.984 chest 0.804 0.029 0.821 0.804 0.812 0.979 forearm 0.885 0.023 0.868 0.885 0.876 0.989 head 0.881 0.012 0.923 0.881 0.902 0.991 shin 0.865 0.023 0.863 0.865 0.864 0.986 thigh 0.798 0.029 0.823 0.798 0.81 0.979 upperarm 0.896 0.027 0.847 0.896 0.871 0.989 waist Weighted Avg. 0.853 0.025 0.853 0.853 0.853 0.985 === Confusion Matrix === a b c d e f g <-- classified as 665 18 9 3 30 58 9 | a = chest 23 634 42 11 4 8 67 | b = forearm 10 35 701 2 4 27 13 | c = head 8 29 14 697 23 6 14 | d = shin 19 9 7 21 686 33 18 | e = thigh 69 10 32 13 29 633 7 | f = upperarm 11 37 3 8 19 4 710 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4678 84.41 % Incorrectly Classified Instances 864 15.59 % Kappa statistic 0.8181 Mean absolute error 0.0788 Root mean squared error 0.181 Relative absolute error 32.1583 % Root relative squared error 51.7225 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.828 0.032 0.812 0.828 0.82 0.982 chest 0.828 0.032 0.812 0.828 0.82 0.981 forearm 0.867 0.025 0.854 0.867 0.861 0.986 head 0.865 0.012 0.926 0.865 0.894 0.985 shin 0.842 0.025 0.851 0.842 0.847 0.985 thigh 0.797 0.034 0.798 0.797 0.797 0.977 upperarm 0.881 0.024 0.862 0.881 0.871 0.987 waist Weighted Avg. 0.844 0.026 0.845 0.844 0.844 0.983 === Confusion Matrix === a b c d e f g <-- classified as 656 22 8 6 30 60 10 | a = chest 18 653 37 13 4 5 59 | b = forearm 18 30 687 2 9 35 11 | c = head 9 39 14 684 23 14 8 | d = shin 30 7 11 24 668 37 16 | e = thigh 60 12 34 6 41 632 8 | f = upperarm 17 41 13 4 10 9 698 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4788 86.3948 % Incorrectly Classified Instances 754 13.6052 % Kappa statistic 0.8413 Mean absolute error 0.0775 Root mean squared error 0.1763 Relative absolute error 31.6529 % Root relative squared error 50.3908 % Total Number of Instances 5542 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.851 0.029 0.831 0.851 0.841 0.984 chest 0.837 0.025 0.849 0.837 0.843 0.981 forearm 0.886 0.023 0.866 0.886 0.876 0.988 head 0.914 0.012 0.925 0.914 0.919 0.991 shin 0.878 0.019 0.887 0.878 0.882 0.99 thigh 0.785 0.03 0.813 0.785 0.799 0.973 upperarm 0.898 0.021 0.877 0.898 0.887 0.991 waist Weighted Avg. 0.864 0.023 0.864 0.864 0.864 0.986 === Confusion Matrix === a b c d e f g <-- classified as 673 11 7 3 22 62 13 | a = chest 25 660 35 19 6 4 40 | b = forearm 11 24 702 4 7 31 13 | c = head 11 25 8 723 10 10 4 | d = shin 16 5 9 21 696 31 15 | e = thigh 63 12 42 6 33 623 15 | f = upperarm 11 40 8 6 11 5 711 | g = waist ------------------------------------------------------------------------------------------------------ SUBJECT: 15 RUN: 0 FOLD: 0 Correctly Classified Instances 4922 81.3285 % Incorrectly Classified Instances 1130 18.6715 % Kappa statistic 0.7822 Mean absolute error 0.0958 Root mean squared error 0.2006 Relative absolute error 39.1366 % Root relative squared error 57.3241 % Total Number of Instances 6052 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.839 0.034 0.803 0.839 0.821 0.978 chest 0.78 0.038 0.772 0.78 0.776 0.965 forearm 0.853 0.035 0.801 0.853 0.826 0.98 head 0.852 0.013 0.917 0.852 0.883 0.988 shin 0.775 0.031 0.808 0.775 0.791 0.966 thigh 0.822 0.034 0.802 0.822 0.812 0.973 upperarm 0.771 0.033 0.798 0.771 0.784 0.966 waist Weighted Avg. 0.813 0.031 0.815 0.813 0.813 0.974 === Confusion Matrix === a b c d e f g <-- classified as 727 22 27 5 12 50 23 | a = chest 24 669 48 9 45 32 31 | b = forearm 21 24 739 6 42 18 16 | c = head 15 14 20 737 26 35 18 | d = shin 30 52 38 11 671 11 53 | e = thigh 55 22 22 21 6 711 28 | f = upperarm 33 64 29 15 28 29 668 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4893 80.8493 % Incorrectly Classified Instances 1159 19.1507 % Kappa statistic 0.7766 Mean absolute error 0.0978 Root mean squared error 0.2036 Relative absolute error 39.9262 % Root relative squared error 58.176 % Total Number of Instances 6052 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.815 0.036 0.79 0.815 0.802 0.973 chest 0.794 0.04 0.766 0.794 0.78 0.966 forearm 0.845 0.038 0.788 0.845 0.816 0.978 head 0.862 0.014 0.913 0.862 0.887 0.984 shin 0.753 0.026 0.831 0.753 0.79 0.958 thigh 0.806 0.032 0.81 0.806 0.808 0.973 upperarm 0.784 0.038 0.774 0.784 0.779 0.968 waist Weighted Avg. 0.808 0.032 0.81 0.808 0.809 0.972 === Confusion Matrix === a b c d e f g <-- classified as 706 32 27 3 9 63 26 | a = chest 38 681 57 3 21 27 31 | b = forearm 23 23 732 8 42 16 22 | c = head 18 18 18 746 19 24 22 | d = shin 24 52 45 18 652 14 61 | e = thigh 61 26 24 19 2 697 36 | f = upperarm 24 57 26 20 40 20 679 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4884 80.7006 % Incorrectly Classified Instances 1168 19.2994 % Kappa statistic 0.7748 Mean absolute error 0.0971 Root mean squared error 0.2014 Relative absolute error 39.658 % Root relative squared error 57.5557 % Total Number of Instances 6052 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.821 0.038 0.784 0.821 0.802 0.977 chest 0.77 0.042 0.753 0.77 0.762 0.97 forearm 0.867 0.039 0.79 0.867 0.827 0.981 head 0.867 0.012 0.924 0.867 0.894 0.986 shin 0.763 0.032 0.801 0.763 0.782 0.967 thigh 0.78 0.028 0.821 0.78 0.8 0.969 upperarm 0.779 0.035 0.787 0.779 0.783 0.967 waist Weighted Avg. 0.807 0.032 0.809 0.807 0.807 0.974 === Confusion Matrix === a b c d e f g <-- classified as 712 26 25 3 12 60 29 | a = chest 29 661 65 8 39 22 34 | b = forearm 14 32 751 3 40 9 17 | c = head 25 8 14 750 21 27 20 | d = shin 27 57 45 16 661 10 50 | e = thigh 67 42 24 21 4 675 32 | f = upperarm 34 52 27 11 48 19 674 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4914 81.1963 % Incorrectly Classified Instances 1138 18.8037 % Kappa statistic 0.7806 Mean absolute error 0.0967 Root mean squared error 0.201 Relative absolute error 39.4703 % Root relative squared error 57.451 % Total Number of Instances 6052 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.828 0.037 0.789 0.828 0.808 0.978 chest 0.78 0.041 0.76 0.78 0.77 0.965 forearm 0.856 0.037 0.796 0.856 0.825 0.981 head 0.859 0.013 0.919 0.859 0.888 0.989 shin 0.778 0.029 0.818 0.778 0.798 0.964 thigh 0.821 0.032 0.811 0.821 0.816 0.977 upperarm 0.762 0.032 0.801 0.762 0.781 0.963 waist Weighted Avg. 0.812 0.031 0.813 0.812 0.812 0.974 === Confusion Matrix === a b c d e f g <-- classified as 717 25 15 4 14 67 24 | a = chest 29 670 63 6 28 29 34 | b = forearm 16 32 742 5 37 16 19 | c = head 22 16 16 742 25 23 20 | d = shin 42 45 45 11 674 12 37 | e = thigh 46 28 18 26 7 710 30 | f = upperarm 37 66 33 13 39 18 659 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4910 81.1436 % Incorrectly Classified Instances 1141 18.8564 % Kappa statistic 0.78 Mean absolute error 0.0963 Root mean squared error 0.2006 Relative absolute error 39.3253 % Root relative squared error 57.3211 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.816 0.035 0.795 0.816 0.806 0.976 chest 0.787 0.039 0.769 0.787 0.778 0.971 forearm 0.852 0.037 0.793 0.852 0.821 0.979 head 0.862 0.013 0.914 0.862 0.887 0.985 shin 0.766 0.028 0.823 0.766 0.793 0.969 thigh 0.82 0.033 0.805 0.82 0.812 0.975 upperarm 0.777 0.034 0.791 0.777 0.784 0.967 waist Weighted Avg. 0.811 0.031 0.813 0.811 0.812 0.975 === Confusion Matrix === a b c d e f g <-- classified as 707 36 27 4 14 57 21 | a = chest 27 676 57 6 34 23 36 | b = forearm 15 29 738 5 41 17 21 | c = head 16 14 14 745 18 34 23 | d = shin 29 51 43 15 663 11 54 | e = thigh 60 22 24 24 3 709 23 | f = upperarm 35 51 28 16 33 30 672 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4872 80.5156 % Incorrectly Classified Instances 1179 19.4844 % Kappa statistic 0.7727 Mean absolute error 0.0991 Root mean squared error 0.2041 Relative absolute error 40.4721 % Root relative squared error 58.3287 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.816 0.038 0.783 0.816 0.799 0.973 chest 0.795 0.04 0.767 0.795 0.781 0.966 forearm 0.852 0.035 0.803 0.852 0.827 0.982 head 0.852 0.013 0.917 0.852 0.883 0.986 shin 0.761 0.03 0.81 0.761 0.785 0.963 thigh 0.793 0.034 0.797 0.793 0.795 0.973 upperarm 0.766 0.038 0.77 0.766 0.768 0.958 waist Weighted Avg. 0.805 0.032 0.807 0.805 0.805 0.972 === Confusion Matrix === a b c d e f g <-- classified as 707 30 24 3 13 60 29 | a = chest 32 683 47 10 30 19 38 | b = forearm 22 24 738 2 40 19 21 | c = head 22 13 15 737 26 31 21 | d = shin 26 55 38 18 658 15 55 | e = thigh 64 35 23 19 4 686 34 | f = upperarm 30 51 34 15 41 31 663 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4872 80.5156 % Incorrectly Classified Instances 1179 19.4844 % Kappa statistic 0.7727 Mean absolute error 0.0985 Root mean squared error 0.2038 Relative absolute error 40.2297 % Root relative squared error 58.2343 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.835 0.042 0.768 0.835 0.8 0.976 chest 0.803 0.043 0.757 0.803 0.779 0.967 forearm 0.852 0.037 0.794 0.852 0.822 0.979 head 0.814 0.012 0.917 0.814 0.862 0.981 shin 0.735 0.026 0.824 0.735 0.777 0.957 thigh 0.815 0.035 0.794 0.815 0.804 0.973 upperarm 0.782 0.032 0.805 0.782 0.793 0.97 waist Weighted Avg. 0.805 0.032 0.808 0.805 0.805 0.972 === Confusion Matrix === a b c d e f g <-- classified as 723 25 12 5 20 54 27 | a = chest 30 690 52 12 19 26 30 | b = forearm 25 33 738 6 33 12 19 | c = head 28 17 23 704 21 45 27 | d = shin 36 65 58 9 636 26 35 | e = thigh 55 34 19 19 7 705 26 | f = upperarm 44 48 28 13 36 20 676 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4866 80.4165 % Incorrectly Classified Instances 1185 19.5835 % Kappa statistic 0.7715 Mean absolute error 0.0984 Root mean squared error 0.2041 Relative absolute error 40.1817 % Root relative squared error 58.3246 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.819 0.045 0.751 0.819 0.783 0.972 chest 0.78 0.038 0.772 0.78 0.776 0.969 forearm 0.837 0.033 0.809 0.837 0.823 0.979 head 0.864 0.014 0.913 0.864 0.888 0.985 shin 0.762 0.029 0.814 0.762 0.787 0.962 thigh 0.803 0.029 0.821 0.803 0.812 0.974 upperarm 0.764 0.04 0.762 0.764 0.763 0.964 waist Weighted Avg. 0.804 0.033 0.806 0.804 0.805 0.972 === Confusion Matrix === a b c d e f g <-- classified as 709 25 30 3 9 53 37 | a = chest 43 670 48 7 32 23 36 | b = forearm 14 24 725 9 39 22 33 | c = head 29 13 7 747 20 28 21 | d = shin 45 53 43 12 659 7 46 | e = thigh 66 28 16 22 4 695 34 | f = upperarm 38 55 27 18 47 19 661 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4820 79.6563 % Incorrectly Classified Instances 1231 20.3437 % Kappa statistic 0.7627 Mean absolute error 0.0989 Root mean squared error 0.2052 Relative absolute error 40.3909 % Root relative squared error 58.6451 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.8 0.044 0.754 0.8 0.776 0.97 chest 0.793 0.041 0.76 0.793 0.776 0.968 forearm 0.834 0.034 0.802 0.834 0.818 0.981 head 0.852 0.012 0.924 0.852 0.886 0.986 shin 0.736 0.034 0.785 0.736 0.76 0.959 thigh 0.787 0.032 0.805 0.787 0.796 0.969 upperarm 0.773 0.041 0.759 0.773 0.766 0.966 waist Weighted Avg. 0.797 0.034 0.799 0.797 0.797 0.971 === Confusion Matrix === a b c d e f g <-- classified as 693 27 23 7 18 67 31 | a = chest 36 681 55 6 26 16 39 | b = forearm 25 27 722 5 46 22 19 | c = head 19 15 12 737 29 24 29 | d = shin 46 60 40 9 637 14 59 | e = thigh 70 41 16 19 3 681 35 | f = upperarm 30 45 32 15 52 22 669 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4865 80.3999 % Incorrectly Classified Instances 1186 19.6001 % Kappa statistic 0.7713 Mean absolute error 0.0984 Root mean squared error 0.204 Relative absolute error 40.1724 % Root relative squared error 58.2874 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.808 0.041 0.769 0.808 0.788 0.973 chest 0.786 0.041 0.76 0.786 0.773 0.964 forearm 0.846 0.032 0.816 0.846 0.831 0.981 head 0.867 0.014 0.912 0.867 0.889 0.988 shin 0.773 0.031 0.805 0.773 0.789 0.962 thigh 0.807 0.033 0.803 0.807 0.805 0.973 upperarm 0.74 0.037 0.768 0.74 0.754 0.96 waist Weighted Avg. 0.804 0.033 0.805 0.804 0.804 0.972 === Confusion Matrix === a b c d e f g <-- classified as 700 27 24 3 11 71 30 | a = chest 43 675 47 8 30 19 37 | b = forearm 22 35 733 4 42 12 18 | c = head 15 10 12 750 29 30 19 | d = shin 26 50 38 9 669 14 59 | e = thigh 64 26 12 29 6 698 30 | f = upperarm 40 65 32 19 44 25 640 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 1 FOLD: 0 Correctly Classified Instances 4924 81.3615 % Incorrectly Classified Instances 1128 18.6385 % Kappa statistic 0.7826 Mean absolute error 0.0962 Root mean squared error 0.2007 Relative absolute error 39.2779 % Root relative squared error 57.3429 % Total Number of Instances 6052 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.848 0.04 0.782 0.848 0.813 0.976 chest 0.78 0.036 0.782 0.78 0.781 0.967 forearm 0.853 0.034 0.808 0.853 0.83 0.982 head 0.852 0.012 0.924 0.852 0.886 0.985 shin 0.768 0.032 0.801 0.768 0.784 0.964 thigh 0.82 0.029 0.823 0.82 0.821 0.975 upperarm 0.775 0.035 0.787 0.775 0.781 0.968 waist Weighted Avg. 0.814 0.031 0.815 0.814 0.814 0.974 === Confusion Matrix === a b c d e f g <-- classified as 734 20 17 0 13 52 30 | a = chest 35 670 50 12 39 16 37 | b = forearm 18 33 739 4 31 21 20 | c = head 19 13 15 737 32 29 20 | d = shin 32 48 43 15 665 11 52 | e = thigh 58 31 21 16 8 709 22 | f = upperarm 43 42 30 14 42 24 670 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4888 80.7667 % Incorrectly Classified Instances 1164 19.2333 % Kappa statistic 0.7756 Mean absolute error 0.0982 Root mean squared error 0.2032 Relative absolute error 40.0964 % Root relative squared error 58.0554 % Total Number of Instances 6052 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.824 0.037 0.789 0.824 0.806 0.974 chest 0.776 0.038 0.771 0.776 0.774 0.966 forearm 0.845 0.04 0.779 0.845 0.811 0.978 head 0.868 0.013 0.916 0.868 0.891 0.985 shin 0.761 0.027 0.827 0.761 0.793 0.967 thigh 0.8 0.031 0.809 0.8 0.805 0.971 upperarm 0.778 0.038 0.774 0.778 0.776 0.964 waist Weighted Avg. 0.808 0.032 0.809 0.808 0.808 0.972 === Confusion Matrix === a b c d e f g <-- classified as 714 22 27 2 6 60 35 | a = chest 33 667 66 5 29 30 29 | b = forearm 18 31 732 7 41 19 18 | c = head 18 16 16 751 20 22 22 | d = shin 23 51 51 16 659 10 56 | e = thigh 54 36 18 22 6 692 37 | f = upperarm 45 42 30 17 36 22 673 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4874 80.5354 % Incorrectly Classified Instances 1178 19.4646 % Kappa statistic 0.7729 Mean absolute error 0.0979 Root mean squared error 0.2033 Relative absolute error 39.9929 % Root relative squared error 58.0919 % Total Number of Instances 6052 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.824 0.037 0.787 0.824 0.805 0.976 chest 0.783 0.04 0.765 0.783 0.774 0.966 forearm 0.849 0.037 0.792 0.849 0.819 0.981 head 0.859 0.013 0.915 0.859 0.886 0.988 shin 0.771 0.031 0.808 0.771 0.789 0.963 thigh 0.783 0.031 0.806 0.783 0.794 0.97 upperarm 0.768 0.037 0.774 0.768 0.771 0.961 waist Weighted Avg. 0.805 0.032 0.807 0.805 0.806 0.972 === Confusion Matrix === a b c d e f g <-- classified as 714 33 26 5 14 54 20 | a = chest 32 673 53 6 28 30 37 | b = forearm 20 27 735 5 39 17 23 | c = head 20 12 14 743 20 30 26 | d = shin 36 48 38 11 668 10 55 | e = thigh 61 31 31 24 8 677 33 | f = upperarm 24 56 31 18 50 22 664 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4846 80.0727 % Incorrectly Classified Instances 1206 19.9273 % Kappa statistic 0.7675 Mean absolute error 0.0994 Root mean squared error 0.206 Relative absolute error 40.5897 % Root relative squared error 58.8802 % Total Number of Instances 6052 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.789 0.036 0.785 0.789 0.787 0.971 chest 0.768 0.044 0.743 0.768 0.756 0.964 forearm 0.835 0.038 0.784 0.835 0.809 0.978 head 0.852 0.016 0.899 0.852 0.875 0.981 shin 0.759 0.029 0.816 0.759 0.786 0.959 thigh 0.822 0.033 0.806 0.822 0.814 0.975 upperarm 0.78 0.037 0.78 0.78 0.78 0.965 waist Weighted Avg. 0.801 0.033 0.802 0.801 0.801 0.97 === Confusion Matrix === a b c d e f g <-- classified as 683 38 30 10 14 65 26 | a = chest 43 660 65 14 26 18 33 | b = forearm 18 25 723 9 38 21 32 | c = head 21 20 15 737 25 27 20 | d = shin 27 52 51 12 657 19 48 | e = thigh 45 34 14 25 5 711 31 | f = upperarm 33 59 24 13 40 21 675 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4858 80.2843 % Incorrectly Classified Instances 1193 19.7157 % Kappa statistic 0.77 Mean absolute error 0.0981 Root mean squared error 0.203 Relative absolute error 40.0683 % Root relative squared error 58.0023 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.837 0.04 0.776 0.837 0.806 0.975 chest 0.767 0.042 0.753 0.767 0.76 0.965 forearm 0.866 0.039 0.789 0.866 0.826 0.982 head 0.847 0.012 0.922 0.847 0.883 0.984 shin 0.781 0.032 0.805 0.781 0.792 0.965 thigh 0.785 0.032 0.804 0.785 0.794 0.969 upperarm 0.736 0.034 0.784 0.736 0.759 0.967 waist Weighted Avg. 0.803 0.033 0.805 0.803 0.803 0.972 === Confusion Matrix === a b c d e f g <-- classified as 725 27 26 4 8 55 21 | a = chest 39 658 66 2 35 25 33 | b = forearm 14 26 750 1 34 17 24 | c = head 19 15 16 733 28 30 24 | d = shin 28 49 41 15 676 14 43 | e = thigh 68 36 21 22 8 679 31 | f = upperarm 41 63 30 18 51 25 637 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4861 80.3338 % Incorrectly Classified Instances 1190 19.6662 % Kappa statistic 0.7706 Mean absolute error 0.0981 Root mean squared error 0.2032 Relative absolute error 40.0541 % Root relative squared error 58.0669 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.804 0.031 0.81 0.804 0.807 0.978 chest 0.795 0.047 0.738 0.795 0.765 0.965 forearm 0.835 0.035 0.8 0.835 0.817 0.978 head 0.834 0.013 0.913 0.834 0.871 0.983 shin 0.756 0.032 0.796 0.756 0.775 0.964 thigh 0.834 0.033 0.807 0.834 0.82 0.977 upperarm 0.766 0.038 0.773 0.766 0.77 0.963 waist Weighted Avg. 0.803 0.033 0.805 0.803 0.804 0.973 === Confusion Matrix === a b c d e f g <-- classified as 696 28 27 4 15 63 33 | a = chest 21 682 52 8 37 19 39 | b = forearm 23 40 724 8 41 15 16 | c = head 16 20 17 721 31 32 28 | d = shin 30 70 40 13 654 10 48 | e = thigh 41 28 20 22 2 721 31 | f = upperarm 32 56 25 14 42 33 663 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4899 80.9618 % Incorrectly Classified Instances 1152 19.0382 % Kappa statistic 0.7779 Mean absolute error 0.0973 Root mean squared error 0.2022 Relative absolute error 39.7228 % Root relative squared error 57.7742 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.828 0.041 0.774 0.828 0.8 0.974 chest 0.795 0.037 0.781 0.795 0.788 0.969 forearm 0.844 0.034 0.804 0.844 0.824 0.979 head 0.857 0.014 0.913 0.857 0.884 0.986 shin 0.768 0.03 0.81 0.768 0.788 0.962 thigh 0.805 0.031 0.811 0.805 0.808 0.973 upperarm 0.771 0.035 0.784 0.771 0.777 0.97 waist Weighted Avg. 0.81 0.032 0.811 0.81 0.81 0.973 === Confusion Matrix === a b c d e f g <-- classified as 718 25 17 6 13 58 30 | a = chest 34 682 54 7 24 25 32 | b = forearm 22 27 731 6 48 11 21 | c = head 17 10 14 741 27 31 25 | d = shin 33 52 44 15 664 13 44 | e = thigh 73 24 15 21 4 696 32 | f = upperarm 31 53 34 16 40 24 667 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4892 80.8461 % Incorrectly Classified Instances 1159 19.1539 % Kappa statistic 0.7765 Mean absolute error 0.097 Root mean squared error 0.2012 Relative absolute error 39.6091 % Root relative squared error 57.4992 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.815 0.041 0.767 0.815 0.791 0.973 chest 0.776 0.038 0.774 0.776 0.775 0.964 forearm 0.846 0.034 0.806 0.846 0.826 0.982 head 0.874 0.013 0.92 0.874 0.896 0.99 shin 0.764 0.029 0.817 0.764 0.79 0.963 thigh 0.809 0.032 0.807 0.809 0.808 0.976 upperarm 0.774 0.037 0.776 0.774 0.775 0.966 waist Weighted Avg. 0.808 0.032 0.81 0.808 0.809 0.974 === Confusion Matrix === a b c d e f g <-- classified as 706 31 25 6 14 54 30 | a = chest 40 667 56 4 30 30 32 | b = forearm 16 32 733 6 33 20 26 | c = head 21 5 13 755 25 29 16 | d = shin 45 46 33 12 661 8 60 | e = thigh 69 25 18 21 3 700 29 | f = upperarm 23 56 31 17 43 26 670 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4864 80.3834 % Incorrectly Classified Instances 1187 19.6166 % Kappa statistic 0.7711 Mean absolute error 0.0989 Root mean squared error 0.2053 Relative absolute error 40.3774 % Root relative squared error 58.6619 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.798 0.037 0.781 0.798 0.789 0.97 chest 0.79 0.041 0.76 0.79 0.775 0.966 forearm 0.839 0.037 0.79 0.839 0.814 0.977 head 0.872 0.013 0.917 0.872 0.894 0.987 shin 0.736 0.028 0.814 0.736 0.773 0.954 thigh 0.806 0.035 0.794 0.806 0.8 0.97 upperarm 0.785 0.037 0.781 0.785 0.783 0.964 waist Weighted Avg. 0.804 0.033 0.805 0.804 0.804 0.97 === Confusion Matrix === a b c d e f g <-- classified as 691 30 21 6 14 69 35 | a = chest 25 679 47 6 19 35 48 | b = forearm 21 25 727 4 59 14 16 | c = head 14 16 12 753 19 30 20 | d = shin 37 53 59 11 637 18 50 | e = thigh 58 37 25 23 3 697 22 | f = upperarm 39 53 29 18 32 15 680 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4887 80.7635 % Incorrectly Classified Instances 1164 19.2365 % Kappa statistic 0.7756 Mean absolute error 0.097 Root mean squared error 0.2012 Relative absolute error 39.6027 % Root relative squared error 57.4888 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.828 0.042 0.768 0.828 0.797 0.977 chest 0.803 0.037 0.781 0.803 0.792 0.973 forearm 0.871 0.035 0.805 0.871 0.836 0.982 head 0.84 0.013 0.917 0.84 0.877 0.988 shin 0.739 0.028 0.816 0.739 0.775 0.963 thigh 0.814 0.033 0.805 0.814 0.81 0.974 upperarm 0.758 0.037 0.774 0.758 0.766 0.965 waist Weighted Avg. 0.808 0.032 0.81 0.808 0.808 0.975 === Confusion Matrix === a b c d e f g <-- classified as 717 24 21 7 15 49 33 | a = chest 39 690 58 5 27 15 25 | b = forearm 11 29 754 4 31 20 17 | c = head 26 11 10 727 26 38 27 | d = shin 49 55 45 12 639 14 51 | e = thigh 50 20 18 27 7 704 39 | f = upperarm 41 54 31 11 38 34 656 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 2 FOLD: 0 Correctly Classified Instances 4929 81.4442 % Incorrectly Classified Instances 1123 18.5558 % Kappa statistic 0.7835 Mean absolute error 0.0957 Root mean squared error 0.2003 Relative absolute error 39.0695 % Root relative squared error 57.2324 % Total Number of Instances 6052 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.844 0.038 0.789 0.844 0.816 0.977 chest 0.81 0.039 0.774 0.81 0.792 0.972 forearm 0.849 0.038 0.79 0.849 0.818 0.98 head 0.858 0.011 0.93 0.858 0.892 0.986 shin 0.764 0.026 0.829 0.764 0.795 0.961 thigh 0.812 0.032 0.808 0.812 0.81 0.976 upperarm 0.764 0.033 0.795 0.764 0.779 0.965 waist Weighted Avg. 0.814 0.031 0.817 0.814 0.815 0.974 === Confusion Matrix === a b c d e f g <-- classified as 731 25 16 3 11 59 21 | a = chest 21 696 60 6 27 23 26 | b = forearm 16 28 735 4 33 24 26 | c = head 16 14 15 742 22 33 23 | d = shin 40 54 45 10 662 10 45 | e = thigh 62 24 24 18 6 702 29 | f = upperarm 40 58 35 15 38 18 661 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4826 79.7422 % Incorrectly Classified Instances 1226 20.2578 % Kappa statistic 0.7637 Mean absolute error 0.0987 Root mean squared error 0.2045 Relative absolute error 40.3058 % Root relative squared error 58.4313 % Total Number of Instances 6052 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.798 0.04 0.768 0.798 0.783 0.974 chest 0.754 0.042 0.748 0.754 0.751 0.963 forearm 0.842 0.033 0.811 0.842 0.826 0.979 head 0.852 0.014 0.912 0.852 0.881 0.983 shin 0.783 0.031 0.806 0.783 0.794 0.967 thigh 0.794 0.037 0.782 0.794 0.788 0.972 upperarm 0.758 0.039 0.763 0.758 0.761 0.965 waist Weighted Avg. 0.797 0.034 0.799 0.797 0.798 0.972 === Confusion Matrix === a b c d e f g <-- classified as 691 26 23 6 23 69 28 | a = chest 43 648 50 7 34 36 41 | b = forearm 20 29 730 6 39 16 27 | c = head 16 16 10 737 25 37 24 | d = shin 20 51 42 15 677 11 49 | e = thigh 69 29 15 20 10 687 35 | f = upperarm 41 67 30 17 32 22 656 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4865 80.3866 % Incorrectly Classified Instances 1187 19.6134 % Kappa statistic 0.7712 Mean absolute error 0.0987 Root mean squared error 0.2045 Relative absolute error 40.3063 % Root relative squared error 58.4368 % Total Number of Instances 6052 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.805 0.046 0.746 0.805 0.774 0.967 chest 0.785 0.034 0.79 0.785 0.787 0.964 forearm 0.844 0.039 0.785 0.844 0.814 0.977 head 0.867 0.012 0.921 0.867 0.893 0.987 shin 0.762 0.028 0.819 0.762 0.789 0.963 thigh 0.806 0.036 0.79 0.806 0.798 0.972 upperarm 0.759 0.034 0.789 0.759 0.773 0.966 waist Weighted Avg. 0.804 0.033 0.806 0.804 0.804 0.971 === Confusion Matrix === a b c d e f g <-- classified as 697 27 27 5 11 67 32 | a = chest 34 674 55 10 17 30 39 | b = forearm 33 21 731 3 46 21 11 | c = head 18 10 13 750 25 30 19 | d = shin 40 49 53 11 659 10 43 | e = thigh 71 29 19 14 3 697 32 | f = upperarm 41 43 33 21 44 27 657 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4929 81.4442 % Incorrectly Classified Instances 1123 18.5558 % Kappa statistic 0.7835 Mean absolute error 0.096 Root mean squared error 0.2003 Relative absolute error 39.1852 % Root relative squared error 57.2436 % Total Number of Instances 6052 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.846 0.041 0.776 0.846 0.81 0.978 chest 0.801 0.034 0.794 0.801 0.797 0.969 forearm 0.846 0.034 0.805 0.846 0.825 0.98 head 0.872 0.012 0.923 0.872 0.897 0.988 shin 0.771 0.03 0.808 0.771 0.789 0.964 thigh 0.822 0.032 0.809 0.822 0.815 0.975 upperarm 0.742 0.032 0.794 0.742 0.767 0.966 waist Weighted Avg. 0.814 0.031 0.816 0.814 0.814 0.974 === Confusion Matrix === a b c d e f g <-- classified as 733 18 15 5 12 56 27 | a = chest 30 688 50 8 29 22 32 | b = forearm 22 29 733 5 41 18 18 | c = head 22 10 9 754 19 29 22 | d = shin 29 46 51 13 667 13 46 | e = thigh 65 34 16 14 3 711 22 | f = upperarm 43 42 36 18 54 30 643 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4864 80.3834 % Incorrectly Classified Instances 1187 19.6166 % Kappa statistic 0.7711 Mean absolute error 0.0989 Root mean squared error 0.2045 Relative absolute error 40.3706 % Root relative squared error 58.4501 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.803 0.036 0.79 0.803 0.796 0.973 chest 0.781 0.037 0.778 0.781 0.78 0.97 forearm 0.85 0.042 0.77 0.85 0.808 0.978 head 0.861 0.013 0.919 0.861 0.889 0.984 shin 0.739 0.03 0.804 0.739 0.77 0.959 thigh 0.82 0.035 0.795 0.82 0.807 0.973 upperarm 0.773 0.036 0.782 0.773 0.778 0.961 waist Weighted Avg. 0.804 0.033 0.805 0.804 0.804 0.971 === Confusion Matrix === a b c d e f g <-- classified as 695 27 38 3 11 63 29 | a = chest 26 671 52 4 45 20 41 | b = forearm 16 25 736 8 41 17 23 | c = head 18 16 22 745 16 29 19 | d = shin 40 39 54 19 639 23 51 | e = thigh 50 36 25 17 5 709 23 | f = upperarm 35 48 29 15 38 31 669 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4868 80.4495 % Incorrectly Classified Instances 1183 19.5505 % Kappa statistic 0.7719 Mean absolute error 0.0991 Root mean squared error 0.2047 Relative absolute error 40.446 % Root relative squared error 58.4936 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.81 0.04 0.771 0.81 0.79 0.971 chest 0.798 0.042 0.76 0.798 0.779 0.966 forearm 0.844 0.031 0.818 0.844 0.831 0.979 head 0.836 0.01 0.935 0.836 0.883 0.985 shin 0.754 0.035 0.785 0.754 0.769 0.959 thigh 0.822 0.036 0.794 0.822 0.807 0.975 upperarm 0.768 0.035 0.785 0.768 0.776 0.963 waist Weighted Avg. 0.804 0.033 0.807 0.804 0.805 0.971 === Confusion Matrix === a b c d e f g <-- classified as 702 36 15 4 15 56 39 | a = chest 37 685 50 6 29 20 31 | b = forearm 21 31 731 3 47 15 18 | c = head 20 15 12 723 37 35 23 | d = shin 33 58 50 4 652 24 44 | e = thigh 56 30 18 19 4 711 27 | f = upperarm 41 46 18 14 47 35 664 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4860 80.3173 % Incorrectly Classified Instances 1191 19.6827 % Kappa statistic 0.7704 Mean absolute error 0.0983 Root mean squared error 0.2037 Relative absolute error 40.13 % Root relative squared error 58.2151 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.809 0.038 0.782 0.809 0.796 0.975 chest 0.766 0.039 0.764 0.766 0.765 0.963 forearm 0.861 0.037 0.797 0.861 0.828 0.982 head 0.859 0.015 0.906 0.859 0.882 0.987 shin 0.753 0.03 0.806 0.753 0.779 0.962 thigh 0.809 0.033 0.804 0.809 0.806 0.97 upperarm 0.764 0.038 0.769 0.764 0.767 0.966 waist Weighted Avg. 0.803 0.033 0.804 0.803 0.803 0.972 === Confusion Matrix === a b c d e f g <-- classified as 701 21 33 6 11 69 25 | a = chest 39 657 58 13 38 19 34 | b = forearm 13 24 746 1 44 18 20 | c = head 19 11 16 743 19 28 29 | d = shin 32 54 40 11 652 14 63 | e = thigh 61 26 14 33 4 700 27 | f = upperarm 31 67 29 13 41 23 661 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4931 81.4907 % Incorrectly Classified Instances 1120 18.5093 % Kappa statistic 0.7841 Mean absolute error 0.0962 Root mean squared error 0.2007 Relative absolute error 39.2994 % Root relative squared error 57.3413 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.815 0.038 0.783 0.815 0.799 0.973 chest 0.807 0.04 0.771 0.807 0.788 0.969 forearm 0.853 0.034 0.808 0.853 0.83 0.982 head 0.857 0.014 0.911 0.857 0.883 0.986 shin 0.784 0.026 0.834 0.784 0.808 0.97 thigh 0.801 0.03 0.818 0.801 0.81 0.976 upperarm 0.787 0.035 0.79 0.787 0.789 0.966 waist Weighted Avg. 0.815 0.031 0.816 0.815 0.815 0.974 === Confusion Matrix === a b c d e f g <-- classified as 706 33 24 3 16 63 21 | a = chest 27 692 46 5 24 21 43 | b = forearm 15 35 739 5 38 16 18 | c = head 23 14 22 741 21 28 16 | d = shin 38 46 32 14 679 7 50 | e = thigh 59 20 29 27 4 693 33 | f = upperarm 34 58 23 18 32 19 681 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4873 80.5321 % Incorrectly Classified Instances 1178 19.4679 % Kappa statistic 0.7729 Mean absolute error 0.0981 Root mean squared error 0.2025 Relative absolute error 40.0674 % Root relative squared error 57.8772 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.822 0.039 0.781 0.822 0.801 0.976 chest 0.778 0.041 0.758 0.778 0.768 0.969 forearm 0.852 0.035 0.805 0.852 0.828 0.98 head 0.853 0.018 0.889 0.853 0.871 0.985 shin 0.76 0.031 0.804 0.76 0.781 0.964 thigh 0.788 0.027 0.832 0.788 0.809 0.973 upperarm 0.784 0.038 0.776 0.784 0.78 0.967 waist Weighted Avg. 0.805 0.032 0.806 0.805 0.805 0.974 === Confusion Matrix === a b c d e f g <-- classified as 712 26 26 6 12 49 35 | a = chest 41 668 59 10 31 16 34 | b = forearm 21 26 738 7 43 14 17 | c = head 22 15 11 737 33 25 21 | d = shin 35 52 39 14 658 15 53 | e = thigh 53 38 16 35 5 682 36 | f = upperarm 28 56 28 20 36 19 678 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4866 80.4165 % Incorrectly Classified Instances 1185 19.5835 % Kappa statistic 0.7715 Mean absolute error 0.0981 Root mean squared error 0.2028 Relative absolute error 40.0606 % Root relative squared error 57.9495 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.818 0.038 0.781 0.818 0.799 0.978 chest 0.781 0.04 0.764 0.781 0.773 0.968 forearm 0.86 0.035 0.805 0.86 0.831 0.982 head 0.847 0.012 0.923 0.847 0.884 0.984 shin 0.746 0.033 0.793 0.746 0.769 0.96 thigh 0.797 0.029 0.821 0.797 0.809 0.972 upperarm 0.78 0.042 0.756 0.78 0.768 0.964 waist Weighted Avg. 0.804 0.033 0.806 0.804 0.805 0.973 === Confusion Matrix === a b c d e f g <-- classified as 708 28 21 3 13 58 35 | a = chest 38 671 52 6 35 25 32 | b = forearm 15 28 745 3 36 13 26 | c = head 26 10 15 732 34 25 22 | d = shin 35 54 47 14 646 9 61 | e = thigh 60 27 20 20 7 689 42 | f = upperarm 25 60 26 15 44 20 675 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 3 FOLD: 0 Correctly Classified Instances 4854 80.2049 % Incorrectly Classified Instances 1198 19.7951 % Kappa statistic 0.7691 Mean absolute error 0.0994 Root mean squared error 0.2049 Relative absolute error 40.5972 % Root relative squared error 58.5521 % Total Number of Instances 6052 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.807 0.034 0.8 0.807 0.803 0.973 chest 0.775 0.043 0.751 0.775 0.763 0.964 forearm 0.837 0.039 0.781 0.837 0.808 0.978 head 0.849 0.012 0.921 0.849 0.883 0.985 shin 0.756 0.029 0.816 0.756 0.785 0.962 thigh 0.809 0.037 0.783 0.809 0.796 0.973 upperarm 0.78 0.037 0.777 0.78 0.779 0.966 waist Weighted Avg. 0.802 0.033 0.804 0.802 0.802 0.971 === Confusion Matrix === a b c d e f g <-- classified as 699 27 23 3 18 71 25 | a = chest 37 666 61 7 26 28 34 | b = forearm 22 36 725 3 31 23 26 | c = head 15 14 21 734 20 34 27 | d = shin 23 60 49 11 655 17 51 | e = thigh 44 38 22 23 7 700 31 | f = upperarm 34 46 27 16 46 21 675 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4874 80.5354 % Incorrectly Classified Instances 1178 19.4646 % Kappa statistic 0.7729 Mean absolute error 0.0976 Root mean squared error 0.203 Relative absolute error 39.8662 % Root relative squared error 58.0246 % Total Number of Instances 6052 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.813 0.037 0.784 0.813 0.798 0.973 chest 0.761 0.042 0.748 0.761 0.755 0.96 forearm 0.859 0.036 0.8 0.859 0.829 0.98 head 0.861 0.013 0.92 0.861 0.89 0.987 shin 0.766 0.031 0.803 0.766 0.784 0.965 thigh 0.815 0.031 0.816 0.815 0.816 0.972 upperarm 0.761 0.037 0.775 0.761 0.768 0.964 waist Weighted Avg. 0.805 0.032 0.807 0.805 0.806 0.971 === Confusion Matrix === a b c d e f g <-- classified as 704 42 21 4 16 55 24 | a = chest 35 654 58 10 37 23 42 | b = forearm 18 23 745 4 41 11 25 | c = head 17 10 13 745 25 33 22 | d = shin 28 49 50 13 663 12 50 | e = thigh 58 34 16 19 5 705 28 | f = upperarm 38 62 28 15 39 25 658 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4908 81.0972 % Incorrectly Classified Instances 1144 18.9028 % Kappa statistic 0.7795 Mean absolute error 0.0976 Root mean squared error 0.2023 Relative absolute error 39.8493 % Root relative squared error 57.8207 % Total Number of Instances 6052 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.833 0.038 0.784 0.833 0.807 0.977 chest 0.802 0.04 0.766 0.802 0.784 0.969 forearm 0.858 0.032 0.817 0.858 0.837 0.983 head 0.843 0.013 0.912 0.843 0.876 0.985 shin 0.754 0.03 0.805 0.754 0.779 0.962 thigh 0.83 0.034 0.801 0.83 0.815 0.975 upperarm 0.758 0.031 0.801 0.758 0.779 0.965 waist Weighted Avg. 0.811 0.031 0.812 0.811 0.811 0.974 === Confusion Matrix === a b c d e f g <-- classified as 721 26 16 6 16 62 19 | a = chest 30 689 48 4 33 25 30 | b = forearm 17 29 743 11 35 13 18 | c = head 18 14 13 729 30 32 29 | d = shin 33 59 51 12 652 16 42 | e = thigh 58 32 9 18 5 718 25 | f = upperarm 43 50 29 19 39 30 656 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4888 80.7667 % Incorrectly Classified Instances 1164 19.2333 % Kappa statistic 0.7756 Mean absolute error 0.099 Root mean squared error 0.2042 Relative absolute error 40.4338 % Root relative squared error 58.3506 % Total Number of Instances 6052 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.814 0.04 0.771 0.814 0.792 0.971 chest 0.789 0.036 0.784 0.789 0.787 0.969 forearm 0.852 0.037 0.793 0.852 0.821 0.98 head 0.861 0.012 0.924 0.861 0.892 0.985 shin 0.77 0.027 0.825 0.77 0.797 0.965 thigh 0.797 0.034 0.796 0.797 0.796 0.969 upperarm 0.77 0.038 0.773 0.77 0.772 0.964 waist Weighted Avg. 0.808 0.032 0.809 0.808 0.808 0.972 === Confusion Matrix === a b c d e f g <-- classified as 705 33 29 6 13 50 30 | a = chest 29 678 57 8 27 28 32 | b = forearm 19 21 738 1 38 21 28 | c = head 21 8 12 745 18 34 27 | d = shin 50 45 41 13 666 10 40 | e = thigh 56 27 28 22 4 689 39 | f = upperarm 34 53 26 11 41 34 667 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4917 81.2593 % Incorrectly Classified Instances 1134 18.7407 % Kappa statistic 0.7814 Mean absolute error 0.0974 Root mean squared error 0.2018 Relative absolute error 39.7575 % Root relative squared error 57.6712 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.805 0.037 0.786 0.805 0.795 0.973 chest 0.793 0.038 0.776 0.793 0.784 0.968 forearm 0.851 0.036 0.797 0.851 0.823 0.981 head 0.86 0.013 0.917 0.86 0.888 0.987 shin 0.786 0.026 0.834 0.786 0.81 0.967 thigh 0.824 0.033 0.807 0.824 0.815 0.974 upperarm 0.769 0.036 0.781 0.769 0.775 0.963 waist Weighted Avg. 0.813 0.031 0.814 0.813 0.813 0.973 === Confusion Matrix === a b c d e f g <-- classified as 697 25 33 6 8 65 32 | a = chest 36 681 54 7 24 23 34 | b = forearm 20 28 737 5 42 13 21 | c = head 15 14 16 744 20 31 25 | d = shin 25 45 38 15 680 9 53 | e = thigh 65 22 19 21 4 713 21 | f = upperarm 29 63 28 13 37 30 665 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4859 80.3008 % Incorrectly Classified Instances 1192 19.6992 % Kappa statistic 0.7702 Mean absolute error 0.0981 Root mean squared error 0.2037 Relative absolute error 40.0471 % Root relative squared error 58.2042 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.807 0.036 0.788 0.807 0.798 0.976 chest 0.798 0.045 0.745 0.798 0.771 0.966 forearm 0.844 0.035 0.802 0.844 0.822 0.979 head 0.865 0.013 0.914 0.865 0.889 0.985 shin 0.75 0.03 0.809 0.75 0.779 0.962 thigh 0.808 0.032 0.81 0.808 0.809 0.973 upperarm 0.748 0.039 0.763 0.748 0.755 0.963 waist Weighted Avg. 0.803 0.033 0.804 0.803 0.803 0.972 === Confusion Matrix === a b c d e f g <-- classified as 700 30 27 2 13 64 31 | a = chest 33 685 46 5 33 20 36 | b = forearm 19 33 731 6 34 22 21 | c = head 23 17 16 748 23 19 19 | d = shin 31 68 39 13 649 11 54 | e = thigh 47 27 20 23 9 699 40 | f = upperarm 35 60 33 21 41 28 647 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4871 80.4991 % Incorrectly Classified Instances 1180 19.5009 % Kappa statistic 0.7725 Mean absolute error 0.0982 Root mean squared error 0.2037 Relative absolute error 40.0826 % Root relative squared error 58.2124 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.815 0.045 0.751 0.815 0.782 0.972 chest 0.791 0.039 0.771 0.791 0.781 0.97 forearm 0.846 0.035 0.8 0.846 0.823 0.98 head 0.855 0.013 0.914 0.855 0.884 0.984 shin 0.749 0.028 0.815 0.749 0.781 0.964 thigh 0.788 0.032 0.804 0.788 0.796 0.972 upperarm 0.788 0.034 0.793 0.788 0.791 0.968 waist Weighted Avg. 0.805 0.032 0.807 0.805 0.805 0.973 === Confusion Matrix === a b c d e f g <-- classified as 706 16 22 6 9 62 45 | a = chest 34 679 62 7 31 17 28 | b = forearm 20 36 733 6 39 18 14 | c = head 27 16 11 740 25 30 16 | d = shin 41 51 38 19 649 21 47 | e = thigh 78 38 22 14 3 682 28 | f = upperarm 34 45 28 18 40 18 682 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4890 80.8131 % Incorrectly Classified Instances 1161 19.1869 % Kappa statistic 0.7762 Mean absolute error 0.0965 Root mean squared error 0.2013 Relative absolute error 39.3954 % Root relative squared error 57.5241 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.845 0.04 0.779 0.845 0.811 0.978 chest 0.772 0.033 0.795 0.772 0.783 0.97 forearm 0.838 0.036 0.794 0.838 0.816 0.979 head 0.836 0.013 0.913 0.836 0.873 0.981 shin 0.764 0.035 0.786 0.764 0.775 0.96 thigh 0.827 0.031 0.816 0.827 0.821 0.978 upperarm 0.775 0.035 0.785 0.775 0.78 0.967 waist Weighted Avg. 0.808 0.032 0.81 0.808 0.808 0.973 === Confusion Matrix === a b c d e f g <-- classified as 732 15 22 6 12 55 24 | a = chest 45 662 55 6 26 27 37 | b = forearm 24 28 726 5 54 14 15 | c = head 28 13 17 723 31 27 26 | d = shin 33 49 36 11 662 19 56 | e = thigh 48 21 24 25 6 715 26 | f = upperarm 30 45 34 16 51 19 670 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4870 80.4826 % Incorrectly Classified Instances 1181 19.5174 % Kappa statistic 0.7723 Mean absolute error 0.0967 Root mean squared error 0.2022 Relative absolute error 39.4795 % Root relative squared error 57.7845 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.839 0.038 0.785 0.839 0.811 0.975 chest 0.786 0.039 0.77 0.786 0.778 0.968 forearm 0.86 0.035 0.806 0.86 0.832 0.98 head 0.845 0.012 0.923 0.845 0.882 0.988 shin 0.746 0.035 0.781 0.746 0.763 0.96 thigh 0.792 0.032 0.806 0.792 0.799 0.971 upperarm 0.765 0.037 0.773 0.765 0.769 0.966 waist Weighted Avg. 0.805 0.033 0.806 0.805 0.805 0.973 === Confusion Matrix === a b c d e f g <-- classified as 727 23 21 5 18 51 21 | a = chest 35 675 60 8 30 19 32 | b = forearm 22 21 745 2 42 19 15 | c = head 12 18 6 730 35 35 28 | d = shin 31 55 49 7 646 15 63 | e = thigh 72 24 17 25 7 685 35 | f = upperarm 27 61 26 14 49 26 662 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4903 81.0279 % Incorrectly Classified Instances 1148 18.9721 % Kappa statistic 0.7787 Mean absolute error 0.0968 Root mean squared error 0.2012 Relative absolute error 39.5138 % Root relative squared error 57.5116 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.824 0.038 0.784 0.824 0.804 0.975 chest 0.793 0.04 0.768 0.793 0.78 0.964 forearm 0.859 0.038 0.791 0.859 0.823 0.982 head 0.872 0.011 0.927 0.872 0.899 0.989 shin 0.751 0.031 0.802 0.751 0.776 0.961 thigh 0.816 0.028 0.83 0.816 0.823 0.974 upperarm 0.757 0.035 0.781 0.757 0.769 0.966 waist Weighted Avg. 0.81 0.032 0.812 0.81 0.81 0.973 === Confusion Matrix === a b c d e f g <-- classified as 714 23 36 6 10 51 26 | a = chest 26 681 53 11 32 15 41 | b = forearm 10 21 744 3 40 27 21 | c = head 18 13 17 753 17 26 20 | d = shin 44 58 41 11 650 8 54 | e = thigh 63 33 19 17 5 706 22 | f = upperarm 36 58 31 11 56 18 655 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 4 FOLD: 0 Correctly Classified Instances 4852 80.1718 % Incorrectly Classified Instances 1200 19.8282 % Kappa statistic 0.7687 Mean absolute error 0.0979 Root mean squared error 0.2033 Relative absolute error 39.9942 % Root relative squared error 58.1051 % Total Number of Instances 6052 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.811 0.041 0.766 0.811 0.788 0.975 chest 0.766 0.034 0.788 0.766 0.777 0.967 forearm 0.845 0.038 0.79 0.845 0.817 0.98 head 0.84 0.013 0.912 0.84 0.875 0.983 shin 0.754 0.032 0.797 0.754 0.775 0.963 thigh 0.803 0.034 0.796 0.803 0.8 0.971 upperarm 0.792 0.039 0.774 0.792 0.783 0.969 waist Weighted Avg. 0.802 0.033 0.803 0.802 0.802 0.973 === Confusion Matrix === a b c d e f g <-- classified as 702 27 24 5 18 58 32 | a = chest 52 658 57 6 31 22 33 | b = forearm 15 25 732 10 42 19 23 | c = head 26 15 18 727 22 33 24 | d = shin 37 49 48 5 653 19 55 | e = thigh 51 30 18 32 6 695 33 | f = upperarm 33 31 30 12 47 27 685 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4882 80.6675 % Incorrectly Classified Instances 1170 19.3325 % Kappa statistic 0.7745 Mean absolute error 0.0957 Root mean squared error 0.2011 Relative absolute error 39.0976 % Root relative squared error 57.4833 % Total Number of Instances 6052 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.811 0.042 0.761 0.811 0.785 0.972 chest 0.782 0.04 0.765 0.782 0.774 0.969 forearm 0.845 0.034 0.804 0.845 0.824 0.981 head 0.861 0.013 0.919 0.861 0.889 0.985 shin 0.784 0.031 0.807 0.784 0.796 0.966 thigh 0.795 0.033 0.801 0.795 0.798 0.975 upperarm 0.768 0.032 0.799 0.768 0.783 0.965 waist Weighted Avg. 0.807 0.032 0.808 0.807 0.807 0.973 === Confusion Matrix === a b c d e f g <-- classified as 702 31 33 1 10 65 24 | a = chest 36 672 56 3 30 28 34 | b = forearm 18 30 732 6 51 13 16 | c = head 26 19 9 745 24 23 19 | d = shin 34 48 33 11 679 13 48 | e = thigh 71 34 17 25 4 688 26 | f = upperarm 35 44 30 20 43 29 664 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4850 80.1388 % Incorrectly Classified Instances 1202 19.8612 % Kappa statistic 0.7683 Mean absolute error 0.0995 Root mean squared error 0.2057 Relative absolute error 40.6302 % Root relative squared error 58.7758 % Total Number of Instances 6052 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.809 0.036 0.788 0.809 0.798 0.973 chest 0.788 0.044 0.746 0.788 0.766 0.964 forearm 0.845 0.036 0.796 0.845 0.82 0.98 head 0.853 0.013 0.918 0.853 0.884 0.984 shin 0.744 0.029 0.813 0.744 0.777 0.959 thigh 0.81 0.034 0.797 0.81 0.804 0.97 upperarm 0.76 0.039 0.765 0.76 0.762 0.964 waist Weighted Avg. 0.801 0.033 0.803 0.801 0.802 0.97 === Confusion Matrix === a b c d e f g <-- classified as 701 24 20 7 15 71 28 | a = chest 30 677 52 5 33 25 37 | b = forearm 17 37 732 5 26 14 35 | c = head 14 15 19 738 27 30 22 | d = shin 27 70 47 12 644 12 54 | e = thigh 64 29 20 20 5 701 26 | f = upperarm 37 56 30 17 42 26 657 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4885 80.7171 % Incorrectly Classified Instances 1167 19.2829 % Kappa statistic 0.775 Mean absolute error 0.098 Root mean squared error 0.203 Relative absolute error 40.022 % Root relative squared error 58.0054 % Total Number of Instances 6052 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.803 0.041 0.764 0.803 0.783 0.972 chest 0.797 0.039 0.771 0.797 0.784 0.968 forearm 0.845 0.036 0.798 0.845 0.821 0.979 head 0.86 0.014 0.913 0.86 0.886 0.987 shin 0.756 0.028 0.819 0.756 0.786 0.964 thigh 0.803 0.028 0.827 0.803 0.815 0.975 upperarm 0.785 0.039 0.77 0.785 0.777 0.966 waist Weighted Avg. 0.807 0.032 0.809 0.807 0.808 0.973 === Confusion Matrix === a b c d e f g <-- classified as 695 37 28 9 15 50 32 | a = chest 28 685 50 7 23 22 44 | b = forearm 21 30 732 0 46 14 23 | c = head 19 12 16 744 18 29 27 | d = shin 42 55 43 17 655 13 41 | e = thigh 65 24 19 21 5 695 36 | f = upperarm 40 45 29 17 38 17 679 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4847 80.1025 % Incorrectly Classified Instances 1204 19.8975 % Kappa statistic 0.7679 Mean absolute error 0.098 Root mean squared error 0.2028 Relative absolute error 40.0134 % Root relative squared error 57.9559 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.818 0.036 0.79 0.818 0.804 0.976 chest 0.782 0.04 0.764 0.782 0.773 0.968 forearm 0.865 0.04 0.783 0.865 0.822 0.981 head 0.857 0.011 0.926 0.857 0.89 0.99 shin 0.748 0.029 0.81 0.748 0.778 0.966 thigh 0.799 0.035 0.791 0.799 0.795 0.973 upperarm 0.739 0.04 0.755 0.739 0.747 0.963 waist Weighted Avg. 0.801 0.033 0.803 0.801 0.801 0.974 === Confusion Matrix === a b c d e f g <-- classified as 708 25 23 5 10 61 34 | a = chest 29 672 69 3 28 25 33 | b = forearm 16 22 749 4 40 16 19 | c = head 15 9 16 741 25 34 25 | d = shin 31 60 47 6 647 11 63 | e = thigh 60 34 22 19 6 691 33 | f = upperarm 37 58 30 22 43 36 639 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4887 80.7635 % Incorrectly Classified Instances 1164 19.2365 % Kappa statistic 0.7756 Mean absolute error 0.0981 Root mean squared error 0.2033 Relative absolute error 40.0604 % Root relative squared error 58.0961 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.805 0.041 0.765 0.805 0.785 0.969 chest 0.78 0.04 0.765 0.78 0.772 0.968 forearm 0.838 0.035 0.799 0.838 0.818 0.981 head 0.877 0.013 0.921 0.877 0.899 0.99 shin 0.778 0.028 0.823 0.778 0.8 0.964 thigh 0.808 0.038 0.778 0.808 0.793 0.972 upperarm 0.766 0.029 0.813 0.766 0.789 0.965 waist Weighted Avg. 0.808 0.032 0.809 0.808 0.808 0.973 === Confusion Matrix === a b c d e f g <-- classified as 698 30 28 4 14 78 15 | a = chest 36 669 57 4 33 29 30 | b = forearm 21 32 726 8 36 19 24 | c = head 18 13 9 759 19 28 19 | d = shin 34 45 36 10 673 24 43 | e = thigh 68 32 16 22 7 699 21 | f = upperarm 37 54 37 17 36 21 663 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4921 81.3254 % Incorrectly Classified Instances 1130 18.6746 % Kappa statistic 0.7821 Mean absolute error 0.0968 Root mean squared error 0.2016 Relative absolute error 39.5329 % Root relative squared error 57.621 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.845 0.037 0.79 0.845 0.817 0.976 chest 0.781 0.037 0.776 0.781 0.779 0.968 forearm 0.85 0.034 0.805 0.85 0.827 0.983 head 0.865 0.014 0.909 0.865 0.886 0.985 shin 0.754 0.029 0.811 0.754 0.781 0.962 thigh 0.808 0.029 0.821 0.808 0.815 0.973 upperarm 0.79 0.036 0.786 0.79 0.788 0.968 waist Weighted Avg. 0.813 0.031 0.814 0.813 0.813 0.974 === Confusion Matrix === a b c d e f g <-- classified as 732 24 19 4 10 47 30 | a = chest 40 670 49 11 23 29 36 | b = forearm 13 34 736 4 48 17 14 | c = head 21 15 13 748 18 30 20 | d = shin 29 47 51 16 652 13 57 | e = thigh 63 24 24 20 6 699 29 | f = upperarm 28 49 22 20 47 16 684 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4938 81.6063 % Incorrectly Classified Instances 1113 18.3937 % Kappa statistic 0.7854 Mean absolute error 0.0978 Root mean squared error 0.202 Relative absolute error 39.9422 % Root relative squared error 57.7237 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.845 0.036 0.795 0.845 0.819 0.978 chest 0.804 0.039 0.775 0.804 0.789 0.968 forearm 0.87 0.035 0.808 0.87 0.838 0.983 head 0.854 0.012 0.923 0.854 0.887 0.986 shin 0.76 0.029 0.813 0.76 0.785 0.959 thigh 0.821 0.028 0.83 0.821 0.826 0.973 upperarm 0.759 0.036 0.778 0.759 0.768 0.964 waist Weighted Avg. 0.816 0.031 0.818 0.816 0.816 0.973 === Confusion Matrix === a b c d e f g <-- classified as 732 25 21 2 13 43 30 | a = chest 27 690 53 8 29 20 31 | b = forearm 17 23 753 4 35 16 18 | c = head 17 13 15 739 30 30 21 | d = shin 39 54 40 12 657 14 49 | e = thigh 49 20 22 19 7 710 38 | f = upperarm 40 65 28 17 37 22 657 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4898 80.9453 % Incorrectly Classified Instances 1153 19.0547 % Kappa statistic 0.7777 Mean absolute error 0.0972 Root mean squared error 0.2014 Relative absolute error 39.6868 % Root relative squared error 57.5647 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.815 0.039 0.777 0.815 0.795 0.976 chest 0.789 0.035 0.787 0.789 0.788 0.97 forearm 0.841 0.035 0.801 0.841 0.82 0.979 head 0.845 0.011 0.928 0.845 0.884 0.985 shin 0.777 0.034 0.792 0.777 0.784 0.963 thigh 0.821 0.032 0.811 0.821 0.816 0.976 upperarm 0.778 0.036 0.784 0.778 0.781 0.967 waist Weighted Avg. 0.809 0.032 0.811 0.809 0.81 0.974 === Confusion Matrix === a b c d e f g <-- classified as 706 26 21 4 18 55 36 | a = chest 42 678 49 7 32 14 37 | b = forearm 20 22 729 3 53 19 21 | c = head 23 10 16 730 28 37 20 | d = shin 35 50 43 15 672 15 35 | e = thigh 56 26 18 18 1 710 36 | f = upperarm 27 50 34 10 45 26 673 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4884 80.7139 % Incorrectly Classified Instances 1167 19.2861 % Kappa statistic 0.775 Mean absolute error 0.0977 Root mean squared error 0.2027 Relative absolute error 39.8958 % Root relative squared error 57.9311 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.842 0.034 0.804 0.842 0.822 0.979 chest 0.804 0.044 0.751 0.804 0.777 0.967 forearm 0.823 0.033 0.807 0.823 0.815 0.976 head 0.846 0.013 0.917 0.846 0.88 0.986 shin 0.769 0.034 0.791 0.769 0.78 0.961 thigh 0.815 0.032 0.81 0.815 0.813 0.973 upperarm 0.75 0.035 0.78 0.75 0.765 0.966 waist Weighted Avg. 0.807 0.032 0.809 0.807 0.807 0.973 === Confusion Matrix === a b c d e f g <-- classified as 729 29 16 5 11 54 22 | a = chest 27 691 54 7 34 21 25 | b = forearm 23 29 713 10 40 23 28 | c = head 17 11 15 731 36 34 20 | d = shin 33 47 38 15 666 12 55 | e = thigh 46 38 21 16 6 705 33 | f = upperarm 32 75 26 13 49 21 649 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 5 FOLD: 0 Correctly Classified Instances 4854 80.2049 % Incorrectly Classified Instances 1198 19.7951 % Kappa statistic 0.7691 Mean absolute error 0.0985 Root mean squared error 0.2043 Relative absolute error 40.2127 % Root relative squared error 58.3729 % Total Number of Instances 6052 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.815 0.036 0.792 0.815 0.804 0.975 chest 0.773 0.04 0.761 0.773 0.767 0.966 forearm 0.856 0.042 0.774 0.856 0.813 0.979 head 0.85 0.012 0.92 0.85 0.883 0.988 shin 0.728 0.031 0.796 0.728 0.761 0.961 thigh 0.828 0.033 0.806 0.828 0.817 0.976 upperarm 0.764 0.037 0.775 0.764 0.77 0.965 waist Weighted Avg. 0.802 0.033 0.804 0.802 0.802 0.973 === Confusion Matrix === a b c d e f g <-- classified as 706 23 28 4 11 62 32 | a = chest 30 664 74 10 29 26 26 | b = forearm 16 28 741 4 37 16 24 | c = head 22 16 11 735 24 33 24 | d = shin 41 59 48 11 630 14 62 | e = thigh 44 34 18 22 7 716 24 | f = upperarm 32 48 37 13 53 21 662 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4904 81.0311 % Incorrectly Classified Instances 1148 18.9689 % Kappa statistic 0.7787 Mean absolute error 0.0973 Root mean squared error 0.2023 Relative absolute error 39.7193 % Root relative squared error 57.8064 % Total Number of Instances 6052 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.821 0.035 0.795 0.821 0.808 0.973 chest 0.814 0.044 0.752 0.814 0.781 0.969 forearm 0.86 0.035 0.803 0.86 0.831 0.981 head 0.862 0.013 0.919 0.862 0.89 0.989 shin 0.764 0.03 0.81 0.764 0.786 0.961 thigh 0.795 0.031 0.808 0.795 0.802 0.971 upperarm 0.755 0.032 0.797 0.755 0.775 0.966 waist Weighted Avg. 0.81 0.032 0.812 0.81 0.81 0.973 === Confusion Matrix === a b c d e f g <-- classified as 711 28 25 2 9 60 31 | a = chest 25 699 47 2 30 27 29 | b = forearm 18 26 745 8 38 10 21 | c = head 19 17 10 746 22 32 19 | d = shin 38 56 44 16 661 14 36 | e = thigh 58 40 18 21 9 688 31 | f = upperarm 25 64 39 17 47 20 654 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4900 80.965 % Incorrectly Classified Instances 1152 19.035 % Kappa statistic 0.7779 Mean absolute error 0.0969 Root mean squared error 0.2017 Relative absolute error 39.5568 % Root relative squared error 57.6368 % Total Number of Instances 6052 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.831 0.039 0.783 0.831 0.806 0.977 chest 0.778 0.037 0.777 0.778 0.777 0.971 forearm 0.853 0.033 0.81 0.853 0.831 0.98 head 0.862 0.015 0.903 0.862 0.882 0.985 shin 0.763 0.03 0.81 0.763 0.786 0.965 thigh 0.805 0.031 0.81 0.805 0.807 0.972 upperarm 0.775 0.036 0.78 0.775 0.777 0.962 waist Weighted Avg. 0.81 0.032 0.81 0.81 0.81 0.973 === Confusion Matrix === a b c d e f g <-- classified as 720 23 26 5 16 51 25 | a = chest 30 668 55 6 38 21 41 | b = forearm 23 32 739 3 38 16 15 | c = head 19 11 14 746 22 33 20 | d = shin 34 45 38 18 661 15 55 | e = thigh 62 23 13 34 4 696 33 | f = upperarm 32 58 27 14 37 27 670 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4834 79.8744 % Incorrectly Classified Instances 1218 20.1256 % Kappa statistic 0.7652 Mean absolute error 0.0998 Root mean squared error 0.2062 Relative absolute error 40.7472 % Root relative squared error 58.9388 % Total Number of Instances 6052 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.806 0.043 0.759 0.806 0.782 0.969 chest 0.782 0.043 0.752 0.782 0.767 0.964 forearm 0.846 0.035 0.804 0.846 0.825 0.98 head 0.853 0.012 0.923 0.853 0.886 0.985 shin 0.732 0.031 0.797 0.732 0.763 0.96 thigh 0.814 0.033 0.806 0.814 0.81 0.972 upperarm 0.757 0.039 0.763 0.757 0.76 0.964 waist Weighted Avg. 0.799 0.034 0.801 0.799 0.799 0.971 === Confusion Matrix === a b c d e f g <-- classified as 698 33 21 7 16 69 22 | a = chest 41 672 44 5 24 21 52 | b = forearm 24 23 733 7 46 13 20 | c = head 21 18 18 738 24 26 20 | d = shin 36 58 56 14 634 11 57 | e = thigh 61 33 16 16 3 704 32 | f = upperarm 39 57 24 13 48 29 655 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4926 81.408 % Incorrectly Classified Instances 1125 18.592 % Kappa statistic 0.7831 Mean absolute error 0.0975 Root mean squared error 0.2017 Relative absolute error 39.8188 % Root relative squared error 57.6361 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.815 0.035 0.797 0.815 0.806 0.974 chest 0.782 0.043 0.75 0.782 0.766 0.965 forearm 0.875 0.034 0.812 0.875 0.843 0.983 head 0.858 0.013 0.916 0.858 0.886 0.986 shin 0.773 0.029 0.818 0.773 0.795 0.966 thigh 0.827 0.031 0.815 0.827 0.821 0.974 upperarm 0.769 0.032 0.799 0.769 0.784 0.967 waist Weighted Avg. 0.814 0.031 0.815 0.814 0.814 0.974 === Confusion Matrix === a b c d e f g <-- classified as 707 36 17 5 13 65 24 | a = chest 40 671 53 7 34 20 33 | b = forearm 13 31 758 5 31 14 14 | c = head 18 13 15 741 28 28 21 | d = shin 28 60 47 10 669 11 41 | e = thigh 45 27 16 25 3 715 34 | f = upperarm 36 57 27 16 40 24 665 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4880 80.6478 % Incorrectly Classified Instances 1171 19.3522 % Kappa statistic 0.7742 Mean absolute error 0.097 Root mean squared error 0.2015 Relative absolute error 39.6183 % Root relative squared error 57.5883 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.823 0.041 0.772 0.823 0.797 0.977 chest 0.775 0.041 0.756 0.775 0.765 0.963 forearm 0.852 0.036 0.799 0.852 0.825 0.982 head 0.846 0.01 0.935 0.846 0.888 0.986 shin 0.804 0.032 0.806 0.804 0.805 0.968 thigh 0.802 0.032 0.809 0.802 0.806 0.973 upperarm 0.742 0.034 0.785 0.742 0.763 0.964 waist Weighted Avg. 0.806 0.032 0.809 0.806 0.807 0.973 === Confusion Matrix === a b c d e f g <-- classified as 713 28 20 4 13 59 29 | a = chest 42 665 51 5 31 21 43 | b = forearm 19 33 739 2 39 18 17 | c = head 20 16 18 731 35 24 20 | d = shin 23 54 36 8 696 14 35 | e = thigh 61 32 24 19 3 694 32 | f = upperarm 46 52 37 13 47 28 642 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4905 81.061 % Incorrectly Classified Instances 1146 18.939 % Kappa statistic 0.779 Mean absolute error 0.0961 Root mean squared error 0.2009 Relative absolute error 39.2306 % Root relative squared error 57.4167 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.841 0.04 0.779 0.841 0.808 0.977 chest 0.793 0.034 0.794 0.793 0.793 0.971 forearm 0.839 0.039 0.781 0.839 0.809 0.978 head 0.849 0.012 0.921 0.849 0.883 0.984 shin 0.77 0.029 0.817 0.77 0.793 0.963 thigh 0.793 0.03 0.814 0.793 0.803 0.974 upperarm 0.79 0.037 0.782 0.79 0.786 0.969 waist Weighted Avg. 0.811 0.032 0.813 0.811 0.811 0.974 === Confusion Matrix === a b c d e f g <-- classified as 728 18 25 3 15 52 25 | a = chest 32 680 54 7 29 22 34 | b = forearm 24 26 727 3 44 15 27 | c = head 19 12 20 734 22 30 28 | d = shin 30 48 46 15 667 18 42 | e = thigh 64 25 33 18 5 686 34 | f = upperarm 38 47 26 17 34 20 683 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4848 80.119 % Incorrectly Classified Instances 1203 19.881 % Kappa statistic 0.7681 Mean absolute error 0.0983 Root mean squared error 0.2042 Relative absolute error 40.1472 % Root relative squared error 58.3513 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.814 0.039 0.778 0.814 0.796 0.975 chest 0.813 0.04 0.77 0.813 0.791 0.969 forearm 0.829 0.031 0.816 0.829 0.822 0.98 head 0.862 0.016 0.9 0.862 0.881 0.985 shin 0.765 0.035 0.787 0.765 0.776 0.964 thigh 0.8 0.033 0.801 0.8 0.8 0.972 upperarm 0.725 0.038 0.76 0.725 0.742 0.957 waist Weighted Avg. 0.801 0.033 0.802 0.801 0.801 0.972 === Confusion Matrix === a b c d e f g <-- classified as 705 29 21 3 15 61 32 | a = chest 26 698 36 8 33 20 38 | b = forearm 17 30 718 11 42 22 26 | c = head 19 13 15 746 27 27 18 | d = shin 33 50 38 17 662 13 52 | e = thigh 69 26 19 23 4 692 32 | f = upperarm 37 60 33 21 58 29 627 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4887 80.7635 % Incorrectly Classified Instances 1164 19.2365 % Kappa statistic 0.7756 Mean absolute error 0.0982 Root mean squared error 0.2033 Relative absolute error 40.0973 % Root relative squared error 58.1067 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.816 0.038 0.78 0.816 0.798 0.97 chest 0.76 0.041 0.755 0.76 0.758 0.967 forearm 0.842 0.038 0.786 0.842 0.813 0.978 head 0.872 0.013 0.918 0.872 0.894 0.987 shin 0.776 0.027 0.828 0.776 0.801 0.963 thigh 0.8 0.031 0.812 0.8 0.806 0.973 upperarm 0.787 0.036 0.783 0.787 0.785 0.967 waist Weighted Avg. 0.808 0.032 0.809 0.808 0.808 0.972 === Confusion Matrix === a b c d e f g <-- classified as 707 34 25 5 7 58 30 | a = chest 37 653 66 10 33 27 33 | b = forearm 14 29 729 5 47 17 25 | c = head 16 14 15 754 17 27 22 | d = shin 29 47 48 8 671 15 47 | e = thigh 62 37 17 20 5 692 32 | f = upperarm 41 51 27 19 30 16 681 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4891 80.8296 % Incorrectly Classified Instances 1160 19.1704 % Kappa statistic 0.7763 Mean absolute error 0.0979 Root mean squared error 0.203 Relative absolute error 39.96 % Root relative squared error 58.0198 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.822 0.042 0.764 0.822 0.792 0.975 chest 0.793 0.04 0.768 0.793 0.78 0.968 forearm 0.848 0.032 0.816 0.848 0.832 0.98 head 0.857 0.012 0.924 0.857 0.889 0.987 shin 0.738 0.026 0.823 0.738 0.778 0.961 thigh 0.814 0.034 0.798 0.814 0.806 0.973 upperarm 0.787 0.037 0.779 0.787 0.783 0.968 waist Weighted Avg. 0.808 0.032 0.81 0.808 0.809 0.973 === Confusion Matrix === a b c d e f g <-- classified as 712 26 21 2 15 56 34 | a = chest 39 681 50 7 25 23 34 | b = forearm 22 31 734 3 34 23 19 | c = head 19 11 9 741 22 36 27 | d = shin 46 50 44 13 638 14 60 | e = thigh 71 31 14 19 7 704 19 | f = upperarm 23 57 27 17 34 26 681 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 6 FOLD: 0 Correctly Classified Instances 4885 80.7171 % Incorrectly Classified Instances 1167 19.2829 % Kappa statistic 0.775 Mean absolute error 0.0971 Root mean squared error 0.2023 Relative absolute error 39.6665 % Root relative squared error 57.8131 % Total Number of Instances 6052 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.831 0.037 0.791 0.831 0.811 0.976 chest 0.779 0.043 0.751 0.779 0.765 0.967 forearm 0.841 0.037 0.793 0.841 0.816 0.977 head 0.871 0.012 0.924 0.871 0.896 0.988 shin 0.777 0.03 0.811 0.777 0.794 0.964 thigh 0.799 0.029 0.823 0.799 0.811 0.972 upperarm 0.753 0.038 0.768 0.753 0.76 0.962 waist Weighted Avg. 0.807 0.032 0.809 0.807 0.808 0.972 === Confusion Matrix === a b c d e f g <-- classified as 720 28 20 4 12 56 26 | a = chest 26 669 55 11 30 18 50 | b = forearm 22 30 728 2 49 14 21 | c = head 14 10 18 753 21 23 26 | d = shin 33 59 38 12 673 12 39 | e = thigh 65 33 20 16 5 691 35 | f = upperarm 30 62 39 17 40 26 651 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4858 80.271 % Incorrectly Classified Instances 1194 19.729 % Kappa statistic 0.7698 Mean absolute error 0.0986 Root mean squared error 0.2036 Relative absolute error 40.2452 % Root relative squared error 58.1831 % Total Number of Instances 6052 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.814 0.042 0.765 0.814 0.789 0.976 chest 0.781 0.035 0.786 0.781 0.783 0.97 forearm 0.846 0.035 0.803 0.846 0.824 0.98 head 0.832 0.014 0.909 0.832 0.869 0.984 shin 0.758 0.03 0.808 0.758 0.782 0.96 thigh 0.806 0.039 0.775 0.806 0.79 0.971 upperarm 0.782 0.036 0.785 0.782 0.783 0.966 waist Weighted Avg. 0.803 0.033 0.805 0.803 0.803 0.973 === Confusion Matrix === a b c d e f g <-- classified as 705 16 23 6 11 76 29 | a = chest 38 671 57 7 21 23 42 | b = forearm 19 23 733 4 43 22 22 | c = head 19 14 13 720 27 44 28 | d = shin 46 56 43 15 656 11 39 | e = thigh 57 33 21 21 11 697 25 | f = upperarm 37 41 23 19 43 26 676 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4954 81.8572 % Incorrectly Classified Instances 1098 18.1428 % Kappa statistic 0.7883 Mean absolute error 0.0956 Root mean squared error 0.1992 Relative absolute error 39.0464 % Root relative squared error 56.9141 % Total Number of Instances 6052 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.841 0.039 0.781 0.841 0.81 0.978 chest 0.795 0.038 0.778 0.795 0.786 0.968 forearm 0.859 0.035 0.804 0.859 0.831 0.981 head 0.877 0.015 0.905 0.877 0.891 0.988 shin 0.774 0.028 0.824 0.774 0.798 0.965 thigh 0.823 0.029 0.826 0.823 0.825 0.978 upperarm 0.761 0.028 0.819 0.761 0.789 0.969 waist Weighted Avg. 0.819 0.03 0.82 0.819 0.819 0.975 === Confusion Matrix === a b c d e f g <-- classified as 728 19 25 9 17 50 18 | a = chest 36 683 49 7 25 33 26 | b = forearm 16 27 744 6 33 15 25 | c = head 21 14 15 759 23 15 18 | d = shin 35 52 47 19 670 14 29 | e = thigh 57 18 19 26 4 712 29 | f = upperarm 39 65 26 13 41 23 658 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4846 80.0727 % Incorrectly Classified Instances 1206 19.9273 % Kappa statistic 0.7675 Mean absolute error 0.099 Root mean squared error 0.2049 Relative absolute error 40.4288 % Root relative squared error 58.5454 % Total Number of Instances 6052 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.809 0.039 0.778 0.809 0.793 0.974 chest 0.794 0.044 0.748 0.794 0.77 0.967 forearm 0.84 0.039 0.784 0.84 0.811 0.978 head 0.858 0.013 0.914 0.858 0.885 0.987 shin 0.748 0.026 0.827 0.748 0.785 0.962 thigh 0.805 0.032 0.806 0.805 0.805 0.973 upperarm 0.751 0.039 0.764 0.751 0.758 0.959 waist Weighted Avg. 0.801 0.033 0.803 0.801 0.801 0.971 === Confusion Matrix === a b c d e f g <-- classified as 701 31 26 3 12 64 29 | a = chest 33 682 54 2 32 25 31 | b = forearm 23 34 728 8 35 16 23 | c = head 18 19 16 741 17 27 26 | d = shin 33 54 47 14 648 13 57 | e = thigh 50 29 23 27 5 696 35 | f = upperarm 43 63 35 16 35 23 650 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4849 80.1355 % Incorrectly Classified Instances 1202 19.8645 % Kappa statistic 0.7682 Mean absolute error 0.0988 Root mean squared error 0.2051 Relative absolute error 40.361 % Root relative squared error 58.6244 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.787 0.034 0.795 0.787 0.791 0.969 chest 0.804 0.039 0.774 0.804 0.789 0.968 forearm 0.844 0.037 0.791 0.844 0.817 0.978 head 0.839 0.013 0.918 0.839 0.877 0.986 shin 0.75 0.035 0.781 0.75 0.765 0.958 thigh 0.818 0.035 0.795 0.818 0.806 0.971 upperarm 0.766 0.039 0.767 0.766 0.767 0.965 waist Weighted Avg. 0.801 0.033 0.803 0.801 0.802 0.971 === Confusion Matrix === a b c d e f g <-- classified as 682 30 30 5 17 67 36 | a = chest 22 691 54 5 28 25 34 | b = forearm 15 30 731 4 46 15 25 | c = head 22 8 15 725 29 38 27 | d = shin 31 59 50 10 649 13 53 | e = thigh 56 26 17 25 7 708 26 | f = upperarm 30 49 27 16 55 25 663 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4899 80.9618 % Incorrectly Classified Instances 1152 19.0382 % Kappa statistic 0.7779 Mean absolute error 0.0975 Root mean squared error 0.2024 Relative absolute error 39.83 % Root relative squared error 57.843 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.828 0.039 0.779 0.828 0.802 0.975 chest 0.801 0.038 0.779 0.801 0.79 0.968 forearm 0.855 0.034 0.806 0.855 0.83 0.98 head 0.853 0.011 0.927 0.853 0.889 0.986 shin 0.746 0.032 0.793 0.746 0.769 0.962 thigh 0.81 0.03 0.816 0.81 0.813 0.973 upperarm 0.775 0.037 0.778 0.775 0.776 0.966 waist Weighted Avg. 0.81 0.032 0.811 0.81 0.81 0.973 === Confusion Matrix === a b c d e f g <-- classified as 717 22 20 3 14 64 26 | a = chest 32 688 46 3 38 14 38 | b = forearm 21 26 740 2 42 15 20 | c = head 24 11 14 738 28 25 25 | d = shin 32 53 53 9 645 17 56 | e = thigh 58 32 18 26 4 701 26 | f = upperarm 37 51 27 15 42 23 670 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4929 81.4576 % Incorrectly Classified Instances 1122 18.5424 % Kappa statistic 0.7837 Mean absolute error 0.0974 Root mean squared error 0.2023 Relative absolute error 39.7531 % Root relative squared error 57.798 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.837 0.037 0.791 0.837 0.813 0.975 chest 0.782 0.039 0.769 0.782 0.776 0.967 forearm 0.855 0.036 0.799 0.855 0.826 0.979 head 0.861 0.014 0.912 0.861 0.886 0.986 shin 0.772 0.027 0.827 0.772 0.799 0.964 thigh 0.8 0.031 0.811 0.8 0.806 0.973 upperarm 0.794 0.033 0.803 0.794 0.798 0.968 waist Weighted Avg. 0.815 0.031 0.816 0.815 0.815 0.973 === Confusion Matrix === a b c d e f g <-- classified as 725 34 22 5 8 49 23 | a = chest 35 672 52 9 41 25 25 | b = forearm 21 29 740 7 28 20 21 | c = head 17 16 14 745 25 31 17 | d = shin 27 46 46 14 668 14 50 | e = thigh 67 28 24 18 3 692 33 | f = upperarm 25 49 28 19 35 22 687 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4886 80.747 % Incorrectly Classified Instances 1165 19.253 % Kappa statistic 0.7754 Mean absolute error 0.0988 Root mean squared error 0.2044 Relative absolute error 40.3313 % Root relative squared error 58.4031 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.814 0.04 0.771 0.814 0.792 0.97 chest 0.796 0.044 0.75 0.796 0.772 0.964 forearm 0.865 0.034 0.811 0.865 0.837 0.983 head 0.85 0.011 0.926 0.85 0.886 0.983 shin 0.78 0.03 0.813 0.78 0.796 0.961 thigh 0.805 0.033 0.801 0.805 0.803 0.971 upperarm 0.742 0.032 0.795 0.742 0.768 0.961 waist Weighted Avg. 0.807 0.032 0.81 0.807 0.808 0.97 === Confusion Matrix === a b c d e f g <-- classified as 705 31 20 2 13 62 33 | a = chest 31 683 52 11 28 21 32 | b = forearm 16 32 749 3 38 14 14 | c = head 21 12 18 735 28 30 21 | d = shin 37 45 36 10 675 14 48 | e = thigh 69 41 22 12 7 696 18 | f = upperarm 35 67 27 21 41 32 643 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4895 80.8957 % Incorrectly Classified Instances 1156 19.1043 % Kappa statistic 0.7771 Mean absolute error 0.0969 Root mean squared error 0.2014 Relative absolute error 39.5537 % Root relative squared error 57.5672 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.821 0.036 0.792 0.821 0.806 0.976 chest 0.775 0.037 0.777 0.775 0.776 0.967 forearm 0.859 0.036 0.797 0.859 0.827 0.983 head 0.857 0.012 0.922 0.857 0.888 0.986 shin 0.748 0.029 0.814 0.748 0.78 0.964 thigh 0.83 0.035 0.8 0.83 0.815 0.973 upperarm 0.773 0.038 0.771 0.773 0.772 0.963 waist Weighted Avg. 0.809 0.032 0.81 0.809 0.809 0.973 === Confusion Matrix === a b c d e f g <-- classified as 711 24 18 8 17 63 25 | a = chest 40 665 60 5 31 26 31 | b = forearm 20 18 744 4 38 16 26 | c = head 18 15 12 741 19 33 27 | d = shin 24 59 46 15 647 16 58 | e = thigh 54 24 17 18 2 718 32 | f = upperarm 31 51 36 13 41 25 669 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4887 80.7635 % Incorrectly Classified Instances 1164 19.2365 % Kappa statistic 0.7756 Mean absolute error 0.0979 Root mean squared error 0.2026 Relative absolute error 39.9933 % Root relative squared error 57.9042 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.826 0.038 0.782 0.826 0.803 0.975 chest 0.787 0.039 0.767 0.787 0.777 0.968 forearm 0.835 0.034 0.802 0.835 0.818 0.981 head 0.858 0.014 0.91 0.858 0.883 0.987 shin 0.768 0.031 0.804 0.768 0.786 0.964 thigh 0.802 0.03 0.819 0.802 0.811 0.974 upperarm 0.778 0.037 0.776 0.778 0.777 0.965 waist Weighted Avg. 0.808 0.032 0.809 0.808 0.808 0.973 === Confusion Matrix === a b c d e f g <-- classified as 715 33 25 8 12 44 29 | a = chest 34 675 57 7 34 17 34 | b = forearm 18 23 723 12 50 21 19 | c = head 21 15 9 742 20 37 21 | d = shin 35 50 36 12 665 14 54 | e = thigh 56 32 24 19 3 694 37 | f = upperarm 35 52 27 15 43 20 673 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 7 FOLD: 0 Correctly Classified Instances 4855 80.2214 % Incorrectly Classified Instances 1197 19.7786 % Kappa statistic 0.7693 Mean absolute error 0.0984 Root mean squared error 0.2037 Relative absolute error 40.1768 % Root relative squared error 58.2197 % Total Number of Instances 6052 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.799 0.042 0.76 0.799 0.779 0.973 chest 0.785 0.04 0.763 0.785 0.774 0.963 forearm 0.838 0.03 0.824 0.838 0.831 0.98 head 0.85 0.016 0.899 0.85 0.873 0.985 shin 0.762 0.03 0.809 0.762 0.785 0.964 thigh 0.8 0.034 0.798 0.8 0.799 0.974 upperarm 0.782 0.039 0.772 0.782 0.777 0.966 waist Weighted Avg. 0.802 0.033 0.803 0.802 0.803 0.972 === Confusion Matrix === a b c d e f g <-- classified as 692 27 19 9 16 67 36 | a = chest 42 674 47 13 33 19 31 | b = forearm 21 34 726 4 44 13 24 | c = head 25 14 15 735 22 33 21 | d = shin 32 49 40 16 660 15 54 | e = thigh 69 25 17 21 7 692 34 | f = upperarm 30 60 17 20 34 28 676 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4868 80.4362 % Incorrectly Classified Instances 1184 19.5638 % Kappa statistic 0.7718 Mean absolute error 0.0979 Root mean squared error 0.2037 Relative absolute error 39.9962 % Root relative squared error 58.2154 % Total Number of Instances 6052 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.83 0.04 0.778 0.83 0.803 0.974 chest 0.782 0.04 0.763 0.782 0.772 0.965 forearm 0.844 0.037 0.79 0.844 0.816 0.981 head 0.859 0.014 0.909 0.859 0.883 0.985 shin 0.736 0.03 0.803 0.736 0.768 0.958 thigh 0.817 0.031 0.816 0.817 0.817 0.976 upperarm 0.762 0.036 0.779 0.762 0.771 0.961 waist Weighted Avg. 0.804 0.033 0.806 0.804 0.804 0.972 === Confusion Matrix === a b c d e f g <-- classified as 719 24 20 6 18 53 26 | a = chest 31 671 58 11 40 16 31 | b = forearm 23 31 731 4 36 20 21 | c = head 13 13 16 743 25 27 28 | d = shin 36 60 51 14 637 13 55 | e = thigh 66 29 18 16 3 707 26 | f = upperarm 36 52 31 23 34 30 660 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4879 80.618 % Incorrectly Classified Instances 1173 19.382 % Kappa statistic 0.7739 Mean absolute error 0.0971 Root mean squared error 0.2028 Relative absolute error 39.6291 % Root relative squared error 57.9411 % Total Number of Instances 6052 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.812 0.039 0.779 0.812 0.795 0.973 chest 0.789 0.044 0.748 0.789 0.768 0.965 forearm 0.837 0.037 0.791 0.837 0.814 0.977 head 0.862 0.013 0.916 0.862 0.889 0.988 shin 0.766 0.027 0.825 0.766 0.794 0.963 thigh 0.806 0.031 0.814 0.806 0.81 0.973 upperarm 0.771 0.036 0.782 0.771 0.777 0.967 waist Weighted Avg. 0.806 0.032 0.808 0.806 0.807 0.972 === Confusion Matrix === a b c d e f g <-- classified as 703 39 27 8 10 54 25 | a = chest 38 677 56 7 23 18 39 | b = forearm 21 27 725 5 45 22 21 | c = head 16 16 17 746 20 30 20 | d = shin 26 57 41 16 663 10 53 | e = thigh 66 36 16 19 3 697 28 | f = upperarm 33 53 34 13 40 25 668 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4888 80.7667 % Incorrectly Classified Instances 1164 19.2333 % Kappa statistic 0.7756 Mean absolute error 0.099 Root mean squared error 0.2033 Relative absolute error 40.4424 % Root relative squared error 58.0935 % Total Number of Instances 6052 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.82 0.039 0.78 0.82 0.8 0.974 chest 0.8 0.04 0.769 0.8 0.784 0.968 forearm 0.867 0.039 0.79 0.867 0.827 0.983 head 0.847 0.014 0.911 0.847 0.878 0.987 shin 0.747 0.03 0.803 0.747 0.774 0.957 thigh 0.812 0.029 0.825 0.812 0.818 0.979 upperarm 0.761 0.035 0.786 0.761 0.773 0.967 waist Weighted Avg. 0.808 0.032 0.809 0.808 0.808 0.974 === Confusion Matrix === a b c d e f g <-- classified as 711 33 24 5 10 52 32 | a = chest 29 686 47 10 31 23 32 | b = forearm 21 19 752 2 34 16 23 | c = head 23 10 21 733 31 27 20 | d = shin 36 56 57 15 646 11 44 | e = thigh 58 33 20 20 4 702 28 | f = upperarm 33 55 31 20 48 20 658 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4886 80.747 % Incorrectly Classified Instances 1165 19.253 % Kappa statistic 0.7754 Mean absolute error 0.0981 Root mean squared error 0.2027 Relative absolute error 40.0672 % Root relative squared error 57.9138 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.839 0.042 0.769 0.839 0.803 0.976 chest 0.775 0.043 0.748 0.775 0.762 0.966 forearm 0.827 0.033 0.806 0.827 0.816 0.979 head 0.844 0.01 0.935 0.844 0.887 0.986 shin 0.773 0.029 0.817 0.773 0.795 0.967 thigh 0.82 0.03 0.82 0.82 0.82 0.97 upperarm 0.773 0.037 0.775 0.773 0.774 0.963 waist Weighted Avg. 0.807 0.032 0.81 0.807 0.808 0.972 === Confusion Matrix === a b c d e f g <-- classified as 727 25 23 5 8 55 23 | a = chest 40 666 51 6 34 23 39 | b = forearm 28 39 716 4 45 13 21 | c = head 32 15 9 730 21 33 25 | d = shin 35 53 38 6 669 8 56 | e = thigh 50 37 17 17 5 709 30 | f = upperarm 33 55 34 13 37 24 669 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4882 80.6809 % Incorrectly Classified Instances 1169 19.3191 % Kappa statistic 0.7746 Mean absolute error 0.0971 Root mean squared error 0.203 Relative absolute error 39.6322 % Root relative squared error 58.0094 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.786 0.034 0.793 0.786 0.79 0.974 chest 0.785 0.039 0.768 0.785 0.776 0.966 forearm 0.852 0.038 0.791 0.852 0.82 0.979 head 0.857 0.012 0.922 0.857 0.888 0.986 shin 0.771 0.028 0.82 0.771 0.795 0.965 thigh 0.814 0.035 0.793 0.814 0.803 0.971 upperarm 0.783 0.038 0.773 0.783 0.778 0.964 waist Weighted Avg. 0.807 0.032 0.808 0.807 0.807 0.972 === Confusion Matrix === a b c d e f g <-- classified as 681 27 21 5 10 83 39 | a = chest 31 674 62 5 32 21 34 | b = forearm 14 30 738 5 45 17 17 | c = head 17 17 12 741 27 29 22 | d = shin 26 40 49 14 667 17 52 | e = thigh 52 29 18 24 3 704 35 | f = upperarm 38 61 33 10 29 17 677 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4901 80.9949 % Incorrectly Classified Instances 1150 19.0051 % Kappa statistic 0.7783 Mean absolute error 0.0983 Root mean squared error 0.2029 Relative absolute error 40.1192 % Root relative squared error 57.972 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.812 0.038 0.783 0.812 0.797 0.974 chest 0.814 0.043 0.759 0.814 0.785 0.97 forearm 0.824 0.032 0.813 0.824 0.819 0.981 head 0.877 0.015 0.906 0.877 0.891 0.986 shin 0.773 0.028 0.823 0.773 0.797 0.963 thigh 0.798 0.03 0.819 0.798 0.808 0.971 upperarm 0.771 0.037 0.776 0.771 0.773 0.961 waist Weighted Avg. 0.81 0.032 0.811 0.81 0.81 0.972 === Confusion Matrix === a b c d e f g <-- classified as 703 39 20 4 10 53 37 | a = chest 25 699 43 3 28 24 37 | b = forearm 24 31 714 9 45 20 23 | c = head 21 14 11 759 16 22 22 | d = shin 29 51 32 16 669 16 52 | e = thigh 59 30 27 31 6 690 22 | f = upperarm 37 57 31 16 39 18 667 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4863 80.3669 % Incorrectly Classified Instances 1188 19.6331 % Kappa statistic 0.7709 Mean absolute error 0.0971 Root mean squared error 0.2029 Relative absolute error 39.6629 % Root relative squared error 57.9794 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.821 0.04 0.775 0.821 0.798 0.975 chest 0.775 0.037 0.778 0.775 0.777 0.964 forearm 0.849 0.038 0.788 0.849 0.817 0.978 head 0.855 0.012 0.92 0.855 0.887 0.987 shin 0.755 0.03 0.805 0.755 0.779 0.964 thigh 0.807 0.037 0.784 0.807 0.795 0.971 upperarm 0.763 0.035 0.786 0.763 0.774 0.968 waist Weighted Avg. 0.804 0.033 0.805 0.804 0.804 0.973 === Confusion Matrix === a b c d e f g <-- classified as 711 19 25 6 12 71 22 | a = chest 32 666 69 5 23 30 34 | b = forearm 16 22 735 8 38 22 25 | c = head 14 12 14 740 18 36 31 | d = shin 43 59 42 13 653 14 41 | e = thigh 65 28 19 18 10 698 27 | f = upperarm 36 50 29 14 57 19 660 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4825 79.7389 % Incorrectly Classified Instances 1226 20.2611 % Kappa statistic 0.7636 Mean absolute error 0.0988 Root mean squared error 0.2047 Relative absolute error 40.3317 % Root relative squared error 58.4988 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.797 0.04 0.768 0.797 0.782 0.971 chest 0.751 0.034 0.788 0.751 0.769 0.967 forearm 0.875 0.043 0.772 0.875 0.82 0.98 head 0.847 0.014 0.912 0.847 0.878 0.984 shin 0.766 0.034 0.788 0.766 0.777 0.962 thigh 0.788 0.034 0.797 0.788 0.793 0.971 upperarm 0.757 0.038 0.769 0.757 0.763 0.962 waist Weighted Avg. 0.797 0.034 0.799 0.797 0.797 0.971 === Confusion Matrix === a b c d e f g <-- classified as 690 22 30 4 19 67 34 | a = chest 38 645 69 8 32 22 45 | b = forearm 16 18 758 2 32 15 25 | c = head 18 12 22 732 37 26 17 | d = shin 32 45 53 12 663 14 47 | e = thigh 67 23 21 37 6 682 29 | f = upperarm 37 54 29 8 52 30 655 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4908 81.1106 % Incorrectly Classified Instances 1143 18.8894 % Kappa statistic 0.7796 Mean absolute error 0.0959 Root mean squared error 0.1996 Relative absolute error 39.1668 % Root relative squared error 57.0286 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.838 0.036 0.795 0.838 0.816 0.976 chest 0.796 0.038 0.778 0.796 0.787 0.972 forearm 0.855 0.034 0.807 0.855 0.83 0.981 head 0.837 0.01 0.931 0.837 0.881 0.984 shin 0.767 0.031 0.805 0.767 0.785 0.966 thigh 0.821 0.034 0.801 0.821 0.811 0.975 upperarm 0.764 0.037 0.774 0.764 0.769 0.966 waist Weighted Avg. 0.811 0.031 0.813 0.811 0.811 0.974 === Confusion Matrix === a b c d e f g <-- classified as 726 23 23 5 13 56 20 | a = chest 33 684 50 3 31 21 37 | b = forearm 9 29 740 6 40 18 24 | c = head 25 17 15 723 25 33 26 | d = shin 25 57 40 9 664 15 56 | e = thigh 62 27 19 13 4 710 30 | f = upperarm 33 42 30 18 48 33 661 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 8 FOLD: 0 Correctly Classified Instances 4879 80.618 % Incorrectly Classified Instances 1173 19.382 % Kappa statistic 0.7739 Mean absolute error 0.0977 Root mean squared error 0.2024 Relative absolute error 39.8739 % Root relative squared error 57.8397 % Total Number of Instances 6052 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.815 0.039 0.777 0.815 0.795 0.974 chest 0.779 0.031 0.805 0.779 0.792 0.969 forearm 0.855 0.036 0.798 0.855 0.825 0.981 head 0.847 0.014 0.911 0.847 0.878 0.986 shin 0.76 0.031 0.803 0.76 0.781 0.964 thigh 0.806 0.031 0.81 0.806 0.808 0.973 upperarm 0.782 0.043 0.75 0.782 0.766 0.966 waist Weighted Avg. 0.806 0.032 0.808 0.806 0.806 0.973 === Confusion Matrix === a b c d e f g <-- classified as 706 24 23 5 15 63 30 | a = chest 23 669 56 10 36 19 46 | b = forearm 23 22 740 1 42 19 19 | c = head 20 19 12 733 26 23 32 | d = shin 33 43 46 14 658 14 58 | e = thigh 64 13 17 27 7 697 40 | f = upperarm 40 41 33 15 35 25 676 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4893 80.8493 % Incorrectly Classified Instances 1159 19.1507 % Kappa statistic 0.7766 Mean absolute error 0.0968 Root mean squared error 0.2015 Relative absolute error 39.5196 % Root relative squared error 57.5772 % Total Number of Instances 6052 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.83 0.04 0.776 0.83 0.802 0.973 chest 0.782 0.037 0.779 0.782 0.78 0.971 forearm 0.855 0.038 0.79 0.855 0.821 0.98 head 0.853 0.016 0.899 0.853 0.875 0.984 shin 0.782 0.028 0.826 0.782 0.803 0.967 thigh 0.802 0.03 0.815 0.802 0.808 0.972 upperarm 0.755 0.035 0.785 0.755 0.77 0.966 waist Weighted Avg. 0.808 0.032 0.81 0.808 0.809 0.974 === Confusion Matrix === a b c d e f g <-- classified as 719 22 23 5 20 52 25 | a = chest 30 672 60 8 25 30 34 | b = forearm 19 24 740 8 34 17 24 | c = head 23 16 17 738 22 28 21 | d = shin 31 38 47 18 677 10 45 | e = thigh 62 33 17 23 6 694 30 | f = upperarm 43 58 33 21 36 21 653 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4893 80.8493 % Incorrectly Classified Instances 1159 19.1507 % Kappa statistic 0.7766 Mean absolute error 0.0963 Root mean squared error 0.2018 Relative absolute error 39.3047 % Root relative squared error 57.6571 % Total Number of Instances 6052 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.824 0.04 0.776 0.824 0.8 0.977 chest 0.758 0.036 0.775 0.758 0.766 0.966 forearm 0.858 0.037 0.795 0.858 0.825 0.977 head 0.868 0.01 0.934 0.868 0.9 0.986 shin 0.758 0.029 0.814 0.758 0.785 0.964 thigh 0.817 0.035 0.796 0.817 0.807 0.974 upperarm 0.776 0.036 0.781 0.776 0.778 0.966 waist Weighted Avg. 0.808 0.032 0.81 0.808 0.809 0.973 === Confusion Matrix === a b c d e f g <-- classified as 714 31 27 4 15 56 19 | a = chest 31 651 68 6 31 32 40 | b = forearm 23 18 743 4 32 22 24 | c = head 22 16 13 751 20 26 17 | d = shin 32 50 43 6 656 16 63 | e = thigh 64 26 19 20 4 707 25 | f = upperarm 34 48 22 13 48 29 671 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4879 80.618 % Incorrectly Classified Instances 1173 19.382 % Kappa statistic 0.7739 Mean absolute error 0.0982 Root mean squared error 0.2038 Relative absolute error 40.117 % Root relative squared error 58.2423 % Total Number of Instances 6052 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.824 0.037 0.786 0.824 0.805 0.972 chest 0.813 0.042 0.761 0.813 0.786 0.968 forearm 0.821 0.039 0.78 0.821 0.8 0.977 head 0.862 0.012 0.926 0.862 0.893 0.986 shin 0.76 0.032 0.8 0.76 0.78 0.959 thigh 0.8 0.033 0.8 0.8 0.8 0.972 upperarm 0.763 0.031 0.802 0.763 0.782 0.961 waist Weighted Avg. 0.806 0.032 0.808 0.806 0.807 0.971 === Confusion Matrix === a b c d e f g <-- classified as 714 28 25 5 11 58 25 | a = chest 30 698 46 5 34 19 27 | b = forearm 26 36 711 6 45 19 23 | c = head 12 12 13 746 35 32 15 | d = shin 31 57 42 14 658 17 47 | e = thigh 66 32 31 14 4 692 26 | f = upperarm 29 54 43 16 35 28 660 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4837 79.9372 % Incorrectly Classified Instances 1214 20.0628 % Kappa statistic 0.7659 Mean absolute error 0.0985 Root mean squared error 0.2039 Relative absolute error 40.2305 % Root relative squared error 58.2591 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.831 0.043 0.763 0.831 0.796 0.975 chest 0.768 0.04 0.759 0.768 0.764 0.965 forearm 0.849 0.04 0.782 0.849 0.814 0.981 head 0.86 0.013 0.919 0.86 0.888 0.988 shin 0.742 0.031 0.802 0.742 0.771 0.96 thigh 0.779 0.028 0.822 0.779 0.8 0.977 upperarm 0.765 0.04 0.764 0.765 0.764 0.967 waist Weighted Avg. 0.799 0.033 0.801 0.799 0.8 0.973 === Confusion Matrix === a b c d e f g <-- classified as 720 24 25 3 13 56 25 | a = chest 43 659 56 8 30 24 38 | b = forearm 13 28 735 4 47 14 25 | c = head 22 12 15 744 17 25 30 | d = shin 42 53 53 14 643 10 51 | e = thigh 73 33 21 25 3 674 36 | f = upperarm 31 59 35 12 49 17 662 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4845 80.0694 % Incorrectly Classified Instances 1206 19.9306 % Kappa statistic 0.7675 Mean absolute error 0.0979 Root mean squared error 0.2034 Relative absolute error 39.9748 % Root relative squared error 58.1334 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.812 0.042 0.765 0.812 0.788 0.973 chest 0.79 0.039 0.77 0.79 0.78 0.966 forearm 0.843 0.033 0.812 0.843 0.827 0.978 head 0.849 0.011 0.929 0.849 0.887 0.987 shin 0.746 0.031 0.798 0.746 0.771 0.96 thigh 0.795 0.036 0.785 0.795 0.79 0.97 upperarm 0.77 0.041 0.76 0.77 0.765 0.964 waist Weighted Avg. 0.801 0.033 0.803 0.801 0.801 0.971 === Confusion Matrix === a b c d e f g <-- classified as 703 29 24 4 15 65 26 | a = chest 37 678 35 5 33 27 43 | b = forearm 19 24 730 1 51 17 24 | c = head 23 12 15 734 21 36 24 | d = shin 36 45 44 11 645 22 62 | e = thigh 63 35 28 17 2 688 32 | f = upperarm 38 58 23 18 41 21 667 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4834 79.8876 % Incorrectly Classified Instances 1217 20.1124 % Kappa statistic 0.7654 Mean absolute error 0.0983 Root mean squared error 0.2041 Relative absolute error 40.1426 % Root relative squared error 58.3381 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.801 0.038 0.778 0.801 0.79 0.976 chest 0.759 0.041 0.754 0.759 0.757 0.962 forearm 0.852 0.035 0.8 0.852 0.826 0.981 head 0.852 0.013 0.914 0.852 0.882 0.985 shin 0.773 0.031 0.805 0.773 0.789 0.965 thigh 0.807 0.04 0.77 0.807 0.788 0.969 upperarm 0.747 0.035 0.779 0.747 0.763 0.962 waist Weighted Avg. 0.799 0.034 0.8 0.799 0.799 0.972 === Confusion Matrix === a b c d e f g <-- classified as 694 28 27 3 13 80 21 | a = chest 37 651 64 5 36 23 42 | b = forearm 22 26 738 7 40 16 17 | c = head 21 12 9 737 32 33 21 | d = shin 31 49 42 7 669 19 48 | e = thigh 56 30 17 27 2 698 35 | f = upperarm 31 67 25 20 39 37 647 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4912 81.1767 % Incorrectly Classified Instances 1139 18.8233 % Kappa statistic 0.7804 Mean absolute error 0.0974 Root mean squared error 0.2025 Relative absolute error 39.7616 % Root relative squared error 57.8581 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.843 0.039 0.784 0.843 0.812 0.976 chest 0.799 0.042 0.761 0.799 0.779 0.968 forearm 0.844 0.035 0.799 0.844 0.821 0.979 head 0.845 0.009 0.938 0.845 0.889 0.984 shin 0.757 0.03 0.811 0.757 0.783 0.958 thigh 0.821 0.031 0.813 0.821 0.817 0.973 upperarm 0.773 0.034 0.794 0.773 0.783 0.965 waist Weighted Avg. 0.812 0.031 0.814 0.812 0.812 0.972 === Confusion Matrix === a b c d e f g <-- classified as 730 25 20 7 10 49 25 | a = chest 29 686 64 7 28 14 31 | b = forearm 18 31 731 7 40 16 23 | c = head 11 20 14 731 28 39 22 | d = shin 51 53 38 9 655 15 44 | e = thigh 56 32 19 13 6 710 29 | f = upperarm 36 55 29 5 41 30 669 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4884 80.7139 % Incorrectly Classified Instances 1167 19.2861 % Kappa statistic 0.775 Mean absolute error 0.0973 Root mean squared error 0.2013 Relative absolute error 39.7105 % Root relative squared error 57.5309 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.823 0.036 0.793 0.823 0.808 0.976 chest 0.802 0.044 0.751 0.802 0.776 0.97 forearm 0.828 0.037 0.791 0.828 0.809 0.979 head 0.846 0.014 0.91 0.846 0.877 0.986 shin 0.773 0.031 0.806 0.773 0.789 0.966 thigh 0.818 0.027 0.835 0.818 0.827 0.978 upperarm 0.758 0.037 0.775 0.758 0.767 0.965 waist Weighted Avg. 0.807 0.032 0.809 0.807 0.808 0.974 === Confusion Matrix === a b c d e f g <-- classified as 713 22 30 7 14 43 37 | a = chest 34 689 60 5 20 16 35 | b = forearm 19 35 718 6 45 18 26 | c = head 23 13 16 731 33 29 19 | d = shin 27 53 48 14 669 10 44 | e = thigh 56 35 15 19 3 708 29 | f = upperarm 27 70 21 21 46 24 656 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4881 80.6644 % Incorrectly Classified Instances 1170 19.3356 % Kappa statistic 0.7744 Mean absolute error 0.0995 Root mean squared error 0.2047 Relative absolute error 40.6458 % Root relative squared error 58.4876 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.797 0.038 0.78 0.797 0.788 0.971 chest 0.787 0.042 0.757 0.787 0.772 0.964 forearm 0.872 0.037 0.799 0.872 0.834 0.983 head 0.852 0.013 0.918 0.852 0.884 0.985 shin 0.761 0.029 0.815 0.761 0.787 0.961 thigh 0.807 0.031 0.814 0.807 0.81 0.972 upperarm 0.771 0.037 0.776 0.771 0.773 0.964 waist Weighted Avg. 0.807 0.032 0.808 0.807 0.807 0.971 === Confusion Matrix === a b c d e f g <-- classified as 691 34 19 5 14 69 35 | a = chest 39 676 60 8 23 22 31 | b = forearm 10 29 755 4 38 13 17 | c = head 22 14 16 736 18 28 30 | d = shin 30 62 38 15 658 13 49 | e = thigh 53 30 22 18 13 698 31 | f = upperarm 41 48 35 16 43 15 667 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 9 FOLD: 0 Correctly Classified Instances 4827 79.7588 % Incorrectly Classified Instances 1225 20.2412 % Kappa statistic 0.7639 Mean absolute error 0.0977 Root mean squared error 0.2039 Relative absolute error 39.8977 % Root relative squared error 58.268 % Total Number of Instances 6052 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.811 0.041 0.769 0.811 0.789 0.97 chest 0.774 0.039 0.768 0.774 0.771 0.966 forearm 0.852 0.041 0.778 0.852 0.813 0.98 head 0.848 0.013 0.913 0.848 0.879 0.987 shin 0.752 0.031 0.804 0.752 0.777 0.966 thigh 0.79 0.034 0.796 0.79 0.793 0.972 upperarm 0.756 0.038 0.768 0.756 0.762 0.966 waist Weighted Avg. 0.798 0.034 0.799 0.798 0.798 0.972 === Confusion Matrix === a b c d e f g <-- classified as 702 32 24 4 13 59 32 | a = chest 34 665 63 7 35 21 34 | b = forearm 18 22 739 4 38 21 25 | c = head 21 11 13 733 27 37 22 | d = shin 32 48 49 17 651 13 56 | e = thigh 66 28 30 24 5 683 29 | f = upperarm 40 60 32 14 41 24 654 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 4892 80.8328 % Incorrectly Classified Instances 1160 19.1672 % Kappa statistic 0.7764 Mean absolute error 0.0979 Root mean squared error 0.2025 Relative absolute error 39.9777 % Root relative squared error 57.8743 % Total Number of Instances 6052 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.821 0.041 0.769 0.821 0.794 0.971 chest 0.804 0.041 0.766 0.804 0.785 0.969 forearm 0.837 0.041 0.771 0.837 0.803 0.979 head 0.865 0.011 0.929 0.865 0.896 0.983 shin 0.769 0.025 0.835 0.769 0.801 0.963 thigh 0.786 0.03 0.814 0.786 0.8 0.971 upperarm 0.776 0.034 0.791 0.776 0.783 0.967 waist Weighted Avg. 0.808 0.032 0.811 0.808 0.809 0.972 === Confusion Matrix === a b c d e f g <-- classified as 711 31 30 6 12 53 23 | a = chest 29 691 62 4 22 24 27 | b = forearm 14 31 725 5 38 17 36 | c = head 19 16 16 748 17 25 24 | d = shin 46 44 48 12 665 12 38 | e = thigh 69 34 27 19 6 680 30 | f = upperarm 36 55 32 11 36 24 672 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 4854 80.2049 % Incorrectly Classified Instances 1198 19.7951 % Kappa statistic 0.7691 Mean absolute error 0.0985 Root mean squared error 0.2048 Relative absolute error 40.2028 % Root relative squared error 58.5337 % Total Number of Instances 6052 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.818 0.039 0.78 0.818 0.798 0.973 chest 0.804 0.042 0.76 0.804 0.782 0.967 forearm 0.833 0.039 0.783 0.833 0.807 0.979 head 0.872 0.012 0.922 0.872 0.896 0.987 shin 0.734 0.033 0.787 0.734 0.76 0.96 thigh 0.81 0.029 0.826 0.81 0.818 0.973 upperarm 0.744 0.038 0.767 0.744 0.755 0.961 waist Weighted Avg. 0.802 0.033 0.803 0.802 0.802 0.971 === Confusion Matrix === a b c d e f g <-- classified as 708 26 26 3 14 56 33 | a = chest 25 691 51 8 34 14 36 | b = forearm 23 30 721 9 39 17 27 | c = head 19 8 14 754 26 29 15 | d = shin 35 70 49 10 635 12 54 | e = thigh 69 30 15 14 5 701 31 | f = upperarm 29 54 45 20 54 20 644 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 4925 81.3781 % Incorrectly Classified Instances 1127 18.6219 % Kappa statistic 0.7827 Mean absolute error 0.097 Root mean squared error 0.2016 Relative absolute error 39.5969 % Root relative squared error 57.6246 % Total Number of Instances 6052 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.833 0.038 0.786 0.833 0.809 0.976 chest 0.766 0.035 0.784 0.766 0.775 0.964 forearm 0.853 0.039 0.785 0.853 0.817 0.979 head 0.86 0.012 0.921 0.86 0.889 0.987 shin 0.792 0.029 0.82 0.792 0.806 0.966 thigh 0.813 0.03 0.816 0.813 0.815 0.973 upperarm 0.779 0.034 0.795 0.779 0.787 0.963 waist Weighted Avg. 0.814 0.031 0.815 0.814 0.814 0.973 === Confusion Matrix === a b c d e f g <-- classified as 722 26 23 4 11 61 20 | a = chest 33 658 70 6 34 21 37 | b = forearm 20 26 739 5 38 12 26 | c = head 17 13 11 744 26 30 24 | d = shin 35 46 38 10 685 11 40 | e = thigh 60 29 22 20 4 703 27 | f = upperarm 32 41 39 19 37 23 674 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 4891 80.8296 % Incorrectly Classified Instances 1160 19.1704 % Kappa statistic 0.7763 Mean absolute error 0.0982 Root mean squared error 0.2027 Relative absolute error 40.0799 % Root relative squared error 57.9231 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.815 0.038 0.78 0.815 0.797 0.976 chest 0.8 0.038 0.776 0.8 0.788 0.968 forearm 0.85 0.035 0.8 0.85 0.824 0.979 head 0.862 0.015 0.908 0.862 0.884 0.988 shin 0.77 0.032 0.802 0.77 0.786 0.963 thigh 0.82 0.035 0.796 0.82 0.808 0.973 upperarm 0.741 0.03 0.803 0.741 0.771 0.964 waist Weighted Avg. 0.808 0.032 0.809 0.808 0.808 0.973 === Confusion Matrix === a b c d e f g <-- classified as 706 27 27 6 10 67 23 | a = chest 29 687 51 5 27 28 32 | b = forearm 20 30 736 4 44 18 14 | c = head 17 13 14 746 22 29 24 | d = shin 41 51 42 14 666 13 38 | e = thigh 52 23 19 27 9 709 26 | f = upperarm 40 54 31 20 52 27 641 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 4861 80.3338 % Incorrectly Classified Instances 1190 19.6662 % Kappa statistic 0.7706 Mean absolute error 0.0979 Root mean squared error 0.2029 Relative absolute error 39.9773 % Root relative squared error 57.9837 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.83 0.038 0.783 0.83 0.806 0.978 chest 0.786 0.039 0.767 0.786 0.776 0.97 forearm 0.835 0.035 0.8 0.835 0.817 0.981 head 0.836 0.014 0.908 0.836 0.871 0.986 shin 0.771 0.03 0.81 0.771 0.79 0.965 thigh 0.803 0.031 0.811 0.803 0.807 0.97 upperarm 0.762 0.041 0.755 0.762 0.758 0.964 waist Weighted Avg. 0.803 0.033 0.805 0.803 0.804 0.973 === Confusion Matrix === a b c d e f g <-- classified as 719 17 19 3 11 63 34 | a = chest 34 675 51 3 29 25 42 | b = forearm 24 37 723 7 41 14 20 | c = head 24 16 21 723 28 23 30 | d = shin 27 46 40 17 667 13 55 | e = thigh 60 32 18 24 3 695 33 | f = upperarm 30 57 32 19 44 24 659 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 4875 80.5652 % Incorrectly Classified Instances 1176 19.4348 % Kappa statistic 0.7733 Mean absolute error 0.0974 Root mean squared error 0.202 Relative absolute error 39.7751 % Root relative squared error 57.7383 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.835 0.039 0.783 0.835 0.808 0.974 chest 0.783 0.039 0.769 0.783 0.776 0.97 forearm 0.855 0.036 0.797 0.855 0.825 0.982 head 0.858 0.013 0.919 0.858 0.888 0.986 shin 0.747 0.03 0.809 0.747 0.777 0.963 thigh 0.817 0.034 0.799 0.817 0.808 0.978 upperarm 0.745 0.036 0.773 0.745 0.759 0.964 waist Weighted Avg. 0.806 0.032 0.807 0.806 0.806 0.974 === Confusion Matrix === a b c d e f g <-- classified as 723 23 22 3 18 53 24 | a = chest 42 672 58 7 27 24 28 | b = forearm 16 23 740 4 42 20 21 | c = head 16 14 14 742 18 36 25 | d = shin 21 55 50 15 647 20 58 | e = thigh 61 28 15 17 4 707 33 | f = upperarm 44 59 30 19 44 25 644 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 4867 80.433 % Incorrectly Classified Instances 1184 19.567 % Kappa statistic 0.7717 Mean absolute error 0.0976 Root mean squared error 0.2028 Relative absolute error 39.8634 % Root relative squared error 57.9437 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.811 0.038 0.779 0.811 0.795 0.972 chest 0.783 0.041 0.758 0.783 0.771 0.967 forearm 0.841 0.034 0.805 0.841 0.823 0.979 head 0.844 0.013 0.918 0.844 0.88 0.983 shin 0.771 0.032 0.802 0.771 0.786 0.963 thigh 0.792 0.033 0.802 0.792 0.797 0.973 upperarm 0.788 0.038 0.777 0.788 0.783 0.969 waist Weighted Avg. 0.804 0.033 0.806 0.804 0.805 0.972 === Confusion Matrix === a b c d e f g <-- classified as 702 24 25 1 10 63 41 | a = chest 38 672 45 6 33 28 36 | b = forearm 19 27 728 6 42 21 23 | c = head 26 15 16 730 36 21 21 | d = shin 30 47 53 8 668 14 46 | e = thigh 58 38 16 31 8 685 29 | f = upperarm 28 63 21 13 36 22 682 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 4853 80.2016 % Incorrectly Classified Instances 1198 19.7984 % Kappa statistic 0.769 Mean absolute error 0.0986 Root mean squared error 0.2045 Relative absolute error 40.2542 % Root relative squared error 58.4376 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.808 0.037 0.785 0.808 0.796 0.974 chest 0.786 0.044 0.747 0.786 0.766 0.965 forearm 0.845 0.032 0.815 0.845 0.83 0.98 head 0.837 0.015 0.903 0.837 0.869 0.983 shin 0.74 0.031 0.798 0.74 0.768 0.96 thigh 0.834 0.037 0.789 0.834 0.811 0.975 upperarm 0.764 0.035 0.787 0.764 0.775 0.965 waist Weighted Avg. 0.802 0.033 0.803 0.802 0.802 0.972 === Confusion Matrix === a b c d e f g <-- classified as 700 40 20 7 11 65 23 | a = chest 37 674 52 11 27 24 33 | b = forearm 19 33 732 5 42 15 20 | c = head 21 16 13 724 31 37 23 | d = shin 34 55 39 19 641 22 56 | e = thigh 45 27 19 26 3 721 24 | f = upperarm 36 57 23 10 48 30 661 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 4896 80.9122 % Incorrectly Classified Instances 1155 19.0878 % Kappa statistic 0.7773 Mean absolute error 0.0968 Root mean squared error 0.2012 Relative absolute error 39.5073 % Root relative squared error 57.4901 % Total Number of Instances 6051 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.835 0.043 0.765 0.835 0.798 0.976 chest 0.776 0.037 0.778 0.776 0.777 0.965 forearm 0.86 0.038 0.79 0.86 0.824 0.98 head 0.866 0.013 0.917 0.866 0.89 0.987 shin 0.732 0.026 0.823 0.732 0.775 0.964 thigh 0.814 0.03 0.819 0.814 0.816 0.974 upperarm 0.78 0.036 0.785 0.78 0.783 0.966 waist Weighted Avg. 0.809 0.032 0.811 0.809 0.809 0.973 === Confusion Matrix === a b c d e f g <-- classified as 723 24 24 5 14 57 19 | a = chest 37 667 56 11 27 21 40 | b = forearm 26 21 745 4 40 15 15 | c = head 20 15 13 748 18 33 17 | d = shin 42 57 50 11 634 10 62 | e = thigh 53 27 23 23 3 704 32 | f = upperarm 44 46 32 14 34 20 675 | g = waist ------------------------------------------------------------------------------------------------------