SUBJECT: 1 RUN: 0 FOLD: 0 Correctly Classified Instances 3026 89.8189 % Incorrectly Classified Instances 343 10.1811 % Kappa statistic 0.8812 Mean absolute error 0.0291 Root mean squared error 0.1706 Relative absolute error 11.8786 % Root relative squared error 48.7414 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.837 0.028 0.835 0.837 0.836 0.905 chest 0.919 0.014 0.909 0.919 0.914 0.952 forearm 0.885 0.021 0.877 0.885 0.881 0.932 head 0.938 0.006 0.964 0.938 0.951 0.966 shin 0.94 0.009 0.944 0.94 0.942 0.965 thigh 0.856 0.023 0.863 0.856 0.859 0.916 upperarm 0.913 0.018 0.897 0.913 0.905 0.948 waist Weighted Avg. 0.898 0.017 0.898 0.898 0.898 0.941 === Confusion Matrix === a b c d e f g <-- classified as 405 13 9 0 4 25 28 | a = chest 11 422 8 2 2 2 12 | b = forearm 22 0 429 0 0 34 0 | c = head 2 5 1 457 19 1 2 | d = shin 1 0 3 15 455 3 7 | e = thigh 25 7 35 0 1 415 2 | f = upperarm 19 17 4 0 1 1 443 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3048 90.472 % Incorrectly Classified Instances 321 9.528 % Kappa statistic 0.8888 Mean absolute error 0.0272 Root mean squared error 0.165 Relative absolute error 11.1167 % Root relative squared error 47.1524 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.814 0.021 0.864 0.814 0.838 0.896 chest 0.913 0.014 0.911 0.913 0.912 0.949 forearm 0.905 0.021 0.876 0.905 0.89 0.942 head 0.969 0.004 0.975 0.969 0.972 0.983 shin 0.95 0.004 0.977 0.95 0.963 0.973 thigh 0.845 0.027 0.84 0.845 0.843 0.909 upperarm 0.936 0.019 0.892 0.936 0.913 0.959 waist Weighted Avg. 0.905 0.016 0.905 0.905 0.905 0.944 === Confusion Matrix === a b c d e f g <-- classified as 394 9 12 1 2 38 28 | a = chest 6 419 3 1 1 11 18 | b = forearm 13 9 439 0 0 24 0 | c = head 0 4 1 472 7 1 2 | d = shin 3 3 3 8 460 3 4 | e = thigh 27 6 39 0 0 410 3 | f = upperarm 13 10 4 2 1 1 454 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3046 90.4126 % Incorrectly Classified Instances 323 9.5874 % Kappa statistic 0.8881 Mean absolute error 0.0274 Root mean squared error 0.1655 Relative absolute error 11.186 % Root relative squared error 47.299 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.8 0.021 0.862 0.8 0.83 0.889 chest 0.946 0.012 0.927 0.946 0.936 0.967 forearm 0.893 0.024 0.861 0.893 0.876 0.934 head 0.944 0.003 0.983 0.944 0.963 0.971 shin 0.971 0.008 0.953 0.971 0.962 0.982 thigh 0.852 0.025 0.852 0.852 0.852 0.913 upperarm 0.926 0.019 0.893 0.926 0.909 0.954 waist Weighted Avg. 0.904 0.016 0.904 0.904 0.904 0.944 === Confusion Matrix === a b c d e f g <-- classified as 387 5 26 1 1 30 34 | a = chest 3 434 2 2 0 8 10 | b = forearm 14 3 432 0 1 32 2 | c = head 1 3 1 459 18 1 3 | d = shin 3 2 2 5 470 0 2 | e = thigh 26 5 38 0 0 414 3 | f = upperarm 15 16 1 0 3 1 450 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3032 89.997 % Incorrectly Classified Instances 337 10.003 % Kappa statistic 0.8833 Mean absolute error 0.0286 Root mean squared error 0.1691 Relative absolute error 11.6708 % Root relative squared error 48.3131 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.824 0.025 0.849 0.824 0.836 0.9 chest 0.939 0.019 0.889 0.939 0.913 0.96 forearm 0.89 0.021 0.876 0.89 0.883 0.935 head 0.934 0.003 0.983 0.934 0.958 0.966 shin 0.952 0.01 0.941 0.952 0.947 0.971 thigh 0.856 0.024 0.859 0.856 0.857 0.916 upperarm 0.905 0.016 0.905 0.905 0.905 0.945 waist Weighted Avg. 0.9 0.017 0.9 0.9 0.9 0.942 === Confusion Matrix === a b c d e f g <-- classified as 399 12 20 0 2 24 27 | a = chest 9 432 1 0 2 6 10 | b = forearm 18 6 431 0 0 27 2 | c = head 3 5 0 454 19 3 2 | d = shin 2 0 3 8 461 5 5 | e = thigh 25 7 34 0 4 415 0 | f = upperarm 14 24 3 0 2 3 440 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3058 90.7688 % Incorrectly Classified Instances 311 9.2312 % Kappa statistic 0.8923 Mean absolute error 0.0264 Root mean squared error 0.1624 Relative absolute error 10.7704 % Root relative squared error 46.4121 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.823 0.022 0.862 0.823 0.842 0.9 chest 0.904 0.012 0.92 0.904 0.912 0.946 forearm 0.886 0.019 0.886 0.886 0.886 0.934 head 0.961 0.005 0.971 0.961 0.966 0.978 shin 0.957 0.007 0.957 0.957 0.957 0.975 thigh 0.895 0.025 0.856 0.895 0.875 0.935 upperarm 0.928 0.017 0.904 0.928 0.916 0.956 waist Weighted Avg. 0.908 0.015 0.908 0.908 0.908 0.946 === Confusion Matrix === a b c d e f g <-- classified as 399 12 19 0 2 31 22 | a = chest 6 415 4 4 4 9 17 | b = forearm 18 5 429 0 0 31 1 | c = head 2 0 1 467 14 1 1 | d = shin 4 2 0 10 463 1 4 | e = thigh 16 1 31 0 0 434 3 | f = upperarm 18 16 0 0 1 0 451 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3053 90.6204 % Incorrectly Classified Instances 316 9.3796 % Kappa statistic 0.8906 Mean absolute error 0.0268 Root mean squared error 0.1637 Relative absolute error 10.9436 % Root relative squared error 46.7837 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.818 0.02 0.872 0.818 0.844 0.899 chest 0.937 0.016 0.901 0.937 0.919 0.96 forearm 0.895 0.022 0.873 0.895 0.884 0.936 head 0.951 0.005 0.971 0.951 0.96 0.973 shin 0.961 0.009 0.949 0.961 0.955 0.976 thigh 0.858 0.026 0.847 0.858 0.852 0.916 upperarm 0.926 0.012 0.93 0.926 0.928 0.957 waist Weighted Avg. 0.906 0.016 0.906 0.906 0.906 0.945 === Confusion Matrix === a b c d e f g <-- classified as 396 11 21 1 3 33 19 | a = chest 5 430 4 2 4 6 8 | b = forearm 8 9 433 0 0 33 1 | c = head 0 3 0 462 18 1 2 | d = shin 3 1 1 11 466 0 3 | e = thigh 27 4 37 0 0 416 1 | f = upperarm 15 19 0 0 0 2 450 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3051 90.561 % Incorrectly Classified Instances 318 9.439 % Kappa statistic 0.8899 Mean absolute error 0.027 Root mean squared error 0.1642 Relative absolute error 11.0128 % Root relative squared error 46.9315 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.824 0.02 0.871 0.824 0.847 0.902 chest 0.926 0.016 0.902 0.926 0.914 0.955 forearm 0.901 0.019 0.886 0.901 0.893 0.941 head 0.947 0.003 0.979 0.947 0.962 0.972 shin 0.963 0.01 0.94 0.963 0.951 0.976 thigh 0.856 0.024 0.859 0.856 0.857 0.916 upperarm 0.924 0.017 0.902 0.924 0.913 0.953 waist Weighted Avg. 0.906 0.016 0.906 0.906 0.905 0.945 === Confusion Matrix === a b c d e f g <-- classified as 399 11 9 0 5 34 26 | a = chest 6 425 3 2 1 7 15 | b = forearm 15 5 436 0 2 25 1 | c = head 1 4 0 460 19 1 1 | d = shin 2 2 2 7 467 1 4 | e = thigh 20 4 40 1 3 415 2 | f = upperarm 15 20 2 0 0 0 449 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3060 90.8281 % Incorrectly Classified Instances 309 9.1719 % Kappa statistic 0.893 Mean absolute error 0.0262 Root mean squared error 0.1619 Relative absolute error 10.7011 % Root relative squared error 46.2626 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.785 0.017 0.884 0.785 0.832 0.884 chest 0.924 0.012 0.926 0.924 0.925 0.956 forearm 0.911 0.024 0.865 0.911 0.887 0.944 head 0.963 0.004 0.977 0.963 0.97 0.98 shin 0.971 0.007 0.957 0.971 0.964 0.982 thigh 0.885 0.026 0.853 0.885 0.868 0.929 upperarm 0.92 0.017 0.899 0.92 0.909 0.951 waist Weighted Avg. 0.908 0.015 0.909 0.908 0.908 0.946 === Confusion Matrix === a b c d e f g <-- classified as 380 4 25 1 5 35 34 | a = chest 5 424 6 2 1 11 10 | b = forearm 15 2 441 0 0 25 1 | c = head 1 1 2 468 13 0 1 | d = shin 1 3 0 7 471 1 2 | e = thigh 13 6 34 0 1 429 2 | f = upperarm 15 18 2 1 1 2 447 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3029 89.9347 % Incorrectly Classified Instances 339 10.0653 % Kappa statistic 0.8826 Mean absolute error 0.0288 Root mean squared error 0.1696 Relative absolute error 11.7436 % Root relative squared error 48.4635 % Total Number of Instances 3368 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.804 0.021 0.866 0.804 0.834 0.891 chest 0.908 0.016 0.901 0.908 0.905 0.946 forearm 0.901 0.023 0.869 0.901 0.884 0.939 head 0.949 0.003 0.983 0.949 0.965 0.973 shin 0.969 0.009 0.946 0.969 0.957 0.98 thigh 0.856 0.027 0.842 0.856 0.849 0.914 upperarm 0.909 0.019 0.891 0.909 0.9 0.945 waist Weighted Avg. 0.899 0.017 0.9 0.899 0.899 0.941 === Confusion Matrix === a b c d e f g <-- classified as 389 7 12 1 3 46 26 | a = chest 8 417 3 2 3 4 22 | b = forearm 15 6 436 0 0 26 1 | c = head 0 2 2 461 19 1 1 | d = shin 1 3 2 5 470 0 4 | e = thigh 18 7 44 0 1 415 0 | f = upperarm 18 21 3 0 1 1 441 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3046 90.4394 % Incorrectly Classified Instances 322 9.5606 % Kappa statistic 0.8885 Mean absolute error 0.0273 Root mean squared error 0.1653 Relative absolute error 11.1547 % Root relative squared error 47.2327 % Total Number of Instances 3368 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.802 0.021 0.864 0.802 0.832 0.89 chest 0.917 0.013 0.917 0.917 0.917 0.952 forearm 0.905 0.015 0.909 0.905 0.907 0.945 head 0.951 0.005 0.969 0.951 0.96 0.973 shin 0.952 0.012 0.929 0.952 0.941 0.97 thigh 0.882 0.026 0.849 0.882 0.866 0.928 upperarm 0.922 0.018 0.894 0.922 0.908 0.952 waist Weighted Avg. 0.904 0.016 0.904 0.904 0.904 0.944 === Confusion Matrix === a b c d e f g <-- classified as 388 10 15 1 2 41 27 | a = chest 8 421 1 0 5 8 16 | b = forearm 13 6 439 0 0 24 3 | c = head 0 0 1 462 22 0 1 | d = shin 3 2 0 14 461 1 3 | e = thigh 18 8 26 0 2 428 3 | f = upperarm 19 12 1 0 4 2 447 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 1 FOLD: 0 Correctly Classified Instances 3039 90.2048 % Incorrectly Classified Instances 330 9.7952 % Kappa statistic 0.8857 Mean absolute error 0.028 Root mean squared error 0.1673 Relative absolute error 11.4284 % Root relative squared error 47.8088 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.819 0.023 0.859 0.819 0.838 0.898 chest 0.9 0.013 0.914 0.9 0.907 0.943 forearm 0.899 0.02 0.884 0.899 0.892 0.94 head 0.944 0.005 0.968 0.944 0.956 0.97 shin 0.93 0.007 0.955 0.93 0.942 0.961 thigh 0.889 0.027 0.848 0.889 0.868 0.931 upperarm 0.934 0.019 0.89 0.934 0.911 0.957 waist Weighted Avg. 0.902 0.016 0.903 0.902 0.902 0.943 === Confusion Matrix === a b c d e f g <-- classified as 397 12 12 1 2 36 25 | a = chest 8 413 6 3 3 12 14 | b = forearm 12 4 436 0 0 28 5 | c = head 3 4 3 459 14 0 3 | d = shin 5 5 5 11 450 1 7 | e = thigh 20 0 30 0 2 431 2 | f = upperarm 17 14 1 0 0 0 453 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3050 90.5313 % Incorrectly Classified Instances 319 9.4687 % Kappa statistic 0.8895 Mean absolute error 0.0271 Root mean squared error 0.1645 Relative absolute error 11.0475 % Root relative squared error 47.0052 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.831 0.026 0.845 0.831 0.838 0.902 chest 0.917 0.012 0.921 0.917 0.919 0.952 forearm 0.887 0.019 0.888 0.887 0.888 0.934 head 0.951 0.002 0.987 0.951 0.969 0.974 shin 0.965 0.009 0.949 0.965 0.957 0.978 thigh 0.858 0.023 0.863 0.858 0.86 0.917 upperarm 0.93 0.02 0.886 0.93 0.908 0.955 waist Weighted Avg. 0.905 0.016 0.906 0.905 0.905 0.945 === Confusion Matrix === a b c d e f g <-- classified as 402 9 13 0 1 32 27 | a = chest 9 421 3 1 4 4 17 | b = forearm 20 8 430 0 1 26 0 | c = head 1 2 1 462 14 2 4 | d = shin 3 2 1 5 467 1 5 | e = thigh 22 3 35 0 4 416 5 | f = upperarm 19 12 1 0 1 1 452 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3063 90.9172 % Incorrectly Classified Instances 306 9.0828 % Kappa statistic 0.894 Mean absolute error 0.026 Root mean squared error 0.1611 Relative absolute error 10.5972 % Root relative squared error 46.0375 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.81 0.023 0.858 0.81 0.833 0.894 chest 0.943 0.01 0.935 0.943 0.939 0.967 forearm 0.901 0.021 0.876 0.901 0.888 0.94 head 0.957 0.005 0.969 0.957 0.963 0.976 shin 0.948 0.009 0.944 0.948 0.946 0.969 thigh 0.876 0.02 0.882 0.876 0.879 0.928 upperarm 0.93 0.017 0.9 0.93 0.915 0.956 waist Weighted Avg. 0.909 0.015 0.909 0.909 0.909 0.947 === Confusion Matrix === a b c d e f g <-- classified as 392 4 20 0 5 32 31 | a = chest 8 433 3 0 2 4 9 | b = forearm 20 6 436 0 0 19 3 | c = head 0 1 1 466 18 0 1 | d = shin 3 0 1 15 459 2 4 | e = thigh 17 5 35 0 1 425 2 | f = upperarm 17 14 2 0 1 0 452 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3044 90.3532 % Incorrectly Classified Instances 325 9.6468 % Kappa statistic 0.8874 Mean absolute error 0.0276 Root mean squared error 0.166 Relative absolute error 11.2552 % Root relative squared error 47.4452 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.831 0.023 0.857 0.831 0.844 0.904 chest 0.911 0.012 0.925 0.911 0.918 0.949 forearm 0.901 0.026 0.855 0.901 0.877 0.938 head 0.949 0.002 0.985 0.949 0.967 0.973 shin 0.955 0.008 0.955 0.955 0.955 0.973 thigh 0.841 0.021 0.872 0.841 0.856 0.91 upperarm 0.938 0.021 0.882 0.938 0.909 0.959 waist Weighted Avg. 0.904 0.016 0.904 0.904 0.904 0.944 === Confusion Matrix === a b c d e f g <-- classified as 402 6 19 1 2 25 29 | a = chest 10 418 8 0 2 4 17 | b = forearm 13 5 436 0 0 28 2 | c = head 1 4 0 462 15 1 4 | d = shin 1 2 6 6 462 1 6 | e = thigh 28 7 39 0 0 408 3 | f = upperarm 14 10 2 0 3 1 456 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3024 89.7596 % Incorrectly Classified Instances 345 10.2404 % Kappa statistic 0.8805 Mean absolute error 0.0293 Root mean squared error 0.1711 Relative absolute error 11.9479 % Root relative squared error 48.8833 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.785 0.024 0.846 0.785 0.815 0.881 chest 0.915 0.013 0.917 0.915 0.916 0.951 forearm 0.884 0.024 0.861 0.884 0.873 0.93 head 0.957 0.005 0.971 0.957 0.964 0.976 shin 0.961 0.008 0.951 0.961 0.956 0.976 thigh 0.864 0.025 0.852 0.864 0.858 0.919 upperarm 0.918 0.02 0.885 0.918 0.901 0.949 waist Weighted Avg. 0.898 0.017 0.897 0.898 0.897 0.94 === Confusion Matrix === a b c d e f g <-- classified as 380 9 18 0 4 37 36 | a = chest 13 420 5 1 2 2 16 | b = forearm 24 1 428 0 1 30 0 | c = head 1 0 2 465 15 1 2 | d = shin 0 1 0 13 466 2 3 | e = thigh 17 5 42 0 1 419 1 | f = upperarm 14 22 2 0 1 1 446 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3028 89.8783 % Incorrectly Classified Instances 341 10.1217 % Kappa statistic 0.8819 Mean absolute error 0.0289 Root mean squared error 0.1701 Relative absolute error 11.8094 % Root relative squared error 48.5991 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.835 0.027 0.838 0.835 0.836 0.904 chest 0.915 0.013 0.915 0.915 0.915 0.951 forearm 0.899 0.022 0.872 0.899 0.885 0.938 head 0.932 0.002 0.985 0.932 0.958 0.965 shin 0.953 0.011 0.935 0.953 0.944 0.971 thigh 0.829 0.021 0.868 0.829 0.848 0.904 upperarm 0.93 0.021 0.883 0.93 0.906 0.955 waist Weighted Avg. 0.899 0.017 0.899 0.899 0.899 0.941 === Confusion Matrix === a b c d e f g <-- classified as 404 3 17 0 3 27 30 | a = chest 8 420 4 0 2 7 18 | b = forearm 16 6 435 0 0 25 2 | c = head 2 1 0 453 25 1 4 | d = shin 6 3 0 7 462 1 6 | e = thigh 29 11 43 0 0 402 0 | f = upperarm 17 15 0 0 2 0 452 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3037 90.1454 % Incorrectly Classified Instances 332 9.8546 % Kappa statistic 0.885 Mean absolute error 0.0282 Root mean squared error 0.1678 Relative absolute error 11.4977 % Root relative squared error 47.9535 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.82 0.023 0.859 0.82 0.839 0.899 chest 0.919 0.015 0.906 0.919 0.912 0.952 forearm 0.907 0.02 0.882 0.907 0.894 0.943 head 0.932 0.003 0.981 0.932 0.956 0.964 shin 0.961 0.01 0.943 0.961 0.952 0.976 thigh 0.854 0.025 0.854 0.854 0.854 0.914 upperarm 0.918 0.019 0.888 0.918 0.903 0.949 waist Weighted Avg. 0.901 0.016 0.902 0.901 0.901 0.943 === Confusion Matrix === a b c d e f g <-- classified as 397 10 11 0 0 34 32 | a = chest 9 422 5 2 2 8 11 | b = forearm 14 5 439 0 1 23 2 | c = head 0 4 0 453 23 2 4 | d = shin 0 1 2 7 466 3 6 | e = thigh 23 8 38 0 1 414 1 | f = upperarm 19 16 3 0 1 1 446 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3053 90.6204 % Incorrectly Classified Instances 316 9.3796 % Kappa statistic 0.8906 Mean absolute error 0.0268 Root mean squared error 0.1637 Relative absolute error 10.9435 % Root relative squared error 46.7836 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.814 0.02 0.874 0.814 0.843 0.897 chest 0.904 0.014 0.908 0.904 0.906 0.945 forearm 0.905 0.019 0.89 0.905 0.898 0.943 head 0.936 0.003 0.978 0.936 0.957 0.966 shin 0.969 0.011 0.934 0.969 0.951 0.979 thigh 0.885 0.022 0.872 0.885 0.878 0.931 upperarm 0.93 0.02 0.888 0.93 0.908 0.955 waist Weighted Avg. 0.906 0.016 0.906 0.906 0.906 0.945 === Confusion Matrix === a b c d e f g <-- classified as 394 12 22 0 3 28 25 | a = chest 8 416 0 2 2 9 23 | b = forearm 11 9 438 0 0 24 2 | c = head 1 0 2 455 25 0 3 | d = shin 3 1 0 8 470 1 2 | e = thigh 18 7 27 0 2 429 2 | f = upperarm 16 13 3 0 1 1 451 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3062 90.9145 % Incorrectly Classified Instances 306 9.0855 % Kappa statistic 0.894 Mean absolute error 0.026 Root mean squared error 0.1611 Relative absolute error 10.6004 % Root relative squared error 46.0443 % Total Number of Instances 3368 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.787 0.024 0.847 0.787 0.816 0.882 chest 0.956 0.013 0.92 0.956 0.938 0.972 forearm 0.905 0.02 0.885 0.905 0.895 0.943 head 0.961 0.003 0.983 0.961 0.972 0.979 shin 0.955 0.005 0.969 0.955 0.961 0.975 thigh 0.874 0.025 0.853 0.874 0.864 0.925 upperarm 0.928 0.016 0.907 0.928 0.917 0.956 waist Weighted Avg. 0.909 0.015 0.909 0.909 0.909 0.947 === Confusion Matrix === a b c d e f g <-- classified as 381 13 19 0 1 43 27 | a = chest 5 439 0 1 2 3 9 | b = forearm 19 3 438 0 0 24 0 | c = head 3 1 1 467 10 1 3 | d = shin 8 1 1 7 462 1 4 | e = thigh 20 2 35 0 1 425 3 | f = upperarm 14 18 1 0 1 1 450 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3048 90.4988 % Incorrectly Classified Instances 320 9.5012 % Kappa statistic 0.8891 Mean absolute error 0.0271 Root mean squared error 0.1648 Relative absolute error 11.0854 % Root relative squared error 47.0858 % Total Number of Instances 3368 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.831 0.027 0.839 0.831 0.835 0.902 chest 0.93 0.014 0.914 0.93 0.922 0.958 forearm 0.885 0.018 0.894 0.885 0.889 0.933 head 0.963 0.005 0.969 0.963 0.966 0.979 shin 0.963 0.007 0.957 0.963 0.96 0.978 thigh 0.86 0.027 0.842 0.86 0.851 0.916 upperarm 0.905 0.013 0.92 0.905 0.913 0.946 waist Weighted Avg. 0.905 0.016 0.905 0.905 0.905 0.945 === Confusion Matrix === a b c d e f g <-- classified as 402 10 13 0 5 31 23 | a = chest 10 427 2 1 1 9 9 | b = forearm 18 2 429 0 0 36 0 | c = head 1 1 0 468 13 0 3 | d = shin 1 0 2 14 466 1 0 | e = thigh 28 7 30 0 0 417 3 | f = upperarm 19 20 4 0 2 1 439 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 2 FOLD: 0 Correctly Classified Instances 3054 90.65 % Incorrectly Classified Instances 315 9.35 % Kappa statistic 0.8909 Mean absolute error 0.0267 Root mean squared error 0.1634 Relative absolute error 10.9089 % Root relative squared error 46.7096 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.822 0.026 0.841 0.822 0.832 0.898 chest 0.928 0.015 0.904 0.928 0.916 0.956 forearm 0.899 0.014 0.914 0.899 0.906 0.942 head 0.949 0.005 0.973 0.949 0.96 0.972 shin 0.955 0.011 0.933 0.955 0.944 0.972 thigh 0.887 0.022 0.874 0.887 0.88 0.933 upperarm 0.907 0.016 0.905 0.907 0.906 0.946 waist Weighted Avg. 0.907 0.016 0.907 0.907 0.906 0.945 === Confusion Matrix === a b c d e f g <-- classified as 398 13 13 1 4 28 27 | a = chest 5 426 3 2 4 7 12 | b = forearm 21 4 435 0 0 24 0 | c = head 1 2 1 462 18 2 1 | d = shin 5 2 1 10 462 0 4 | e = thigh 25 3 23 0 2 431 2 | f = upperarm 18 21 0 0 5 1 440 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3038 90.1751 % Incorrectly Classified Instances 331 9.8249 % Kappa statistic 0.8854 Mean absolute error 0.0281 Root mean squared error 0.1675 Relative absolute error 11.463 % Root relative squared error 47.8811 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.787 0.023 0.852 0.787 0.818 0.882 chest 0.922 0.017 0.898 0.922 0.91 0.953 forearm 0.905 0.018 0.892 0.905 0.898 0.943 head 0.955 0.004 0.977 0.955 0.966 0.976 shin 0.95 0.008 0.952 0.95 0.951 0.971 thigh 0.87 0.031 0.824 0.87 0.847 0.919 upperarm 0.924 0.014 0.918 0.924 0.921 0.955 waist Weighted Avg. 0.902 0.016 0.902 0.902 0.902 0.943 === Confusion Matrix === a b c d e f g <-- classified as 381 12 12 0 4 54 21 | a = chest 10 424 4 1 3 6 12 | b = forearm 14 4 438 0 0 27 1 | c = head 1 4 3 465 14 0 0 | d = shin 5 2 1 10 460 3 3 | e = thigh 17 11 32 0 0 422 3 | f = upperarm 19 15 1 0 2 0 448 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3046 90.4126 % Incorrectly Classified Instances 323 9.5874 % Kappa statistic 0.8881 Mean absolute error 0.0274 Root mean squared error 0.1655 Relative absolute error 11.186 % Root relative squared error 47.299 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.806 0.022 0.859 0.806 0.832 0.892 chest 0.932 0.012 0.922 0.932 0.927 0.96 forearm 0.876 0.025 0.857 0.876 0.866 0.926 head 0.944 0.002 0.985 0.944 0.964 0.971 shin 0.967 0.007 0.957 0.967 0.962 0.98 thigh 0.864 0.027 0.843 0.864 0.853 0.918 upperarm 0.94 0.016 0.909 0.94 0.924 0.962 waist Weighted Avg. 0.904 0.016 0.904 0.904 0.904 0.944 === Confusion Matrix === a b c d e f g <-- classified as 391 9 26 0 0 30 29 | a = chest 5 428 4 0 2 11 9 | b = forearm 18 8 424 0 0 33 1 | c = head 4 3 0 459 17 0 3 | d = shin 1 3 0 7 468 3 2 | e = thigh 23 3 38 0 0 419 2 | f = upperarm 13 10 3 0 2 1 457 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3034 90.0564 % Incorrectly Classified Instances 335 9.9436 % Kappa statistic 0.884 Mean absolute error 0.0284 Root mean squared error 0.1686 Relative absolute error 11.6016 % Root relative squared error 48.1696 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.808 0.025 0.846 0.808 0.827 0.892 chest 0.926 0.014 0.914 0.926 0.92 0.956 forearm 0.901 0.021 0.879 0.901 0.89 0.94 head 0.93 0.003 0.983 0.93 0.956 0.964 shin 0.961 0.01 0.94 0.961 0.95 0.975 thigh 0.841 0.022 0.864 0.841 0.853 0.91 upperarm 0.938 0.022 0.88 0.938 0.908 0.958 waist Weighted Avg. 0.901 0.017 0.901 0.901 0.9 0.942 === Confusion Matrix === a b c d e f g <-- classified as 391 10 17 0 3 28 35 | a = chest 6 425 2 1 4 4 17 | b = forearm 16 3 436 0 0 28 1 | c = head 3 4 3 452 21 0 3 | d = shin 2 3 1 7 466 3 3 | e = thigh 28 9 35 0 2 408 3 | f = upperarm 16 11 2 0 0 1 456 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3028 89.8783 % Incorrectly Classified Instances 341 10.1217 % Kappa statistic 0.8819 Mean absolute error 0.0289 Root mean squared error 0.1701 Relative absolute error 11.8094 % Root relative squared error 48.5991 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.764 0.019 0.869 0.764 0.813 0.873 chest 0.922 0.013 0.918 0.922 0.92 0.954 forearm 0.901 0.019 0.886 0.901 0.893 0.941 head 0.942 0.006 0.964 0.942 0.953 0.968 shin 0.94 0.011 0.936 0.94 0.938 0.965 thigh 0.891 0.027 0.845 0.891 0.867 0.932 upperarm 0.932 0.022 0.876 0.932 0.903 0.955 waist Weighted Avg. 0.899 0.017 0.899 0.899 0.898 0.941 === Confusion Matrix === a b c d e f g <-- classified as 370 9 19 0 4 43 39 | a = chest 8 423 2 1 1 11 13 | b = forearm 22 3 436 0 0 22 1 | c = head 0 1 2 458 22 1 2 | d = shin 1 2 4 16 456 1 5 | e = thigh 16 4 26 0 3 432 4 | f = upperarm 9 19 3 0 1 1 453 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3046 90.4126 % Incorrectly Classified Instances 323 9.5874 % Kappa statistic 0.8881 Mean absolute error 0.0274 Root mean squared error 0.1655 Relative absolute error 11.186 % Root relative squared error 47.299 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.824 0.019 0.881 0.824 0.852 0.903 chest 0.926 0.015 0.904 0.926 0.915 0.955 forearm 0.895 0.022 0.871 0.895 0.883 0.936 head 0.947 0.005 0.97 0.947 0.958 0.971 shin 0.957 0.01 0.941 0.957 0.949 0.973 thigh 0.86 0.025 0.853 0.86 0.856 0.917 upperarm 0.922 0.016 0.909 0.922 0.915 0.953 waist Weighted Avg. 0.904 0.016 0.904 0.904 0.904 0.944 === Confusion Matrix === a b c d e f g <-- classified as 399 11 15 0 2 32 25 | a = chest 3 425 4 1 6 8 12 | b = forearm 12 8 433 0 1 27 3 | c = head 1 3 0 460 16 4 2 | d = shin 1 2 2 13 464 0 3 | e = thigh 19 4 41 0 4 417 0 | f = upperarm 18 17 2 0 0 1 448 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3045 90.3829 % Incorrectly Classified Instances 324 9.6171 % Kappa statistic 0.8878 Mean absolute error 0.0275 Root mean squared error 0.1658 Relative absolute error 11.2206 % Root relative squared error 47.3722 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.822 0.024 0.854 0.822 0.838 0.899 chest 0.932 0.013 0.918 0.932 0.925 0.96 forearm 0.901 0.019 0.886 0.901 0.893 0.941 head 0.944 0.003 0.979 0.944 0.961 0.97 shin 0.94 0.009 0.948 0.94 0.944 0.966 thigh 0.864 0.023 0.864 0.864 0.864 0.921 upperarm 0.924 0.021 0.88 0.924 0.902 0.951 waist Weighted Avg. 0.904 0.016 0.904 0.904 0.904 0.944 === Confusion Matrix === a b c d e f g <-- classified as 398 8 12 0 3 32 31 | a = chest 7 428 2 1 1 3 17 | b = forearm 14 4 436 0 1 27 2 | c = head 2 4 0 459 19 0 2 | d = shin 3 3 2 9 456 4 8 | e = thigh 21 4 40 0 0 419 1 | f = upperarm 21 15 0 0 1 0 449 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3046 90.4126 % Incorrectly Classified Instances 323 9.5874 % Kappa statistic 0.8881 Mean absolute error 0.0274 Root mean squared error 0.1655 Relative absolute error 11.186 % Root relative squared error 47.299 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.831 0.021 0.866 0.831 0.848 0.905 chest 0.937 0.013 0.917 0.937 0.927 0.962 forearm 0.897 0.027 0.85 0.897 0.873 0.935 head 0.951 0.005 0.969 0.951 0.96 0.973 shin 0.959 0.008 0.951 0.959 0.955 0.975 thigh 0.841 0.022 0.866 0.841 0.854 0.91 upperarm 0.916 0.015 0.912 0.916 0.914 0.95 waist Weighted Avg. 0.904 0.016 0.904 0.904 0.904 0.944 === Confusion Matrix === a b c d e f g <-- classified as 402 9 17 0 2 28 26 | a = chest 7 430 3 2 3 3 11 | b = forearm 17 3 435 0 0 29 1 | c = head 2 3 0 462 17 0 2 | d = shin 1 0 3 13 464 1 2 | e = thigh 18 4 52 0 2 408 1 | f = upperarm 17 20 2 0 0 2 445 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3044 90.38 % Incorrectly Classified Instances 324 9.62 % Kappa statistic 0.8878 Mean absolute error 0.0275 Root mean squared error 0.1658 Relative absolute error 11.2239 % Root relative squared error 47.3792 % Total Number of Instances 3368 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.837 0.024 0.854 0.837 0.846 0.906 chest 0.919 0.014 0.913 0.919 0.916 0.953 forearm 0.882 0.021 0.877 0.882 0.88 0.931 head 0.965 0.004 0.975 0.965 0.97 0.98 shin 0.95 0.007 0.96 0.95 0.955 0.972 thigh 0.856 0.024 0.856 0.856 0.856 0.916 upperarm 0.918 0.019 0.892 0.918 0.904 0.949 waist Weighted Avg. 0.904 0.016 0.904 0.904 0.904 0.944 === Confusion Matrix === a b c d e f g <-- classified as 405 6 18 1 1 22 31 | a = chest 6 422 5 2 1 6 17 | b = forearm 14 4 428 0 1 37 1 | c = head 1 2 0 469 13 0 1 | d = shin 4 3 2 9 460 3 3 | e = thigh 28 7 34 0 0 415 1 | f = upperarm 16 18 1 0 3 2 445 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3058 90.7957 % Incorrectly Classified Instances 310 9.2043 % Kappa statistic 0.8926 Mean absolute error 0.0263 Root mean squared error 0.1622 Relative absolute error 10.739 % Root relative squared error 46.3443 % Total Number of Instances 3368 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.833 0.018 0.886 0.833 0.858 0.907 chest 0.919 0.014 0.913 0.919 0.916 0.953 forearm 0.913 0.024 0.865 0.913 0.889 0.945 head 0.959 0.006 0.965 0.959 0.962 0.976 shin 0.965 0.007 0.959 0.965 0.962 0.979 thigh 0.854 0.026 0.848 0.854 0.851 0.914 upperarm 0.913 0.013 0.921 0.913 0.917 0.95 waist Weighted Avg. 0.908 0.015 0.908 0.908 0.908 0.946 === Confusion Matrix === a b c d e f g <-- classified as 403 6 20 2 3 35 15 | a = chest 8 422 5 2 0 9 13 | b = forearm 9 6 443 0 1 25 1 | c = head 1 2 1 466 11 3 2 | d = shin 0 1 0 9 467 0 7 | e = thigh 19 8 40 1 3 414 0 | f = upperarm 15 17 3 3 2 2 443 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 3 FOLD: 0 Correctly Classified Instances 3034 90.0564 % Incorrectly Classified Instances 335 9.9436 % Kappa statistic 0.884 Mean absolute error 0.0284 Root mean squared error 0.1686 Relative absolute error 11.6016 % Root relative squared error 48.1696 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.793 0.019 0.875 0.793 0.832 0.887 chest 0.908 0.016 0.901 0.908 0.905 0.946 forearm 0.901 0.021 0.877 0.901 0.889 0.94 head 0.942 0.004 0.974 0.942 0.958 0.969 shin 0.95 0.01 0.939 0.95 0.945 0.97 thigh 0.879 0.024 0.863 0.879 0.871 0.928 upperarm 0.93 0.022 0.878 0.93 0.903 0.954 waist Weighted Avg. 0.901 0.017 0.901 0.901 0.9 0.942 === Confusion Matrix === a b c d e f g <-- classified as 384 10 20 1 2 32 35 | a = chest 6 417 3 2 4 8 19 | b = forearm 17 8 436 0 0 22 1 | c = head 1 4 1 458 21 0 1 | d = shin 2 2 3 9 460 3 5 | e = thigh 16 6 33 0 2 427 2 | f = upperarm 13 16 1 0 1 3 452 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3037 90.1454 % Incorrectly Classified Instances 332 9.8546 % Kappa statistic 0.885 Mean absolute error 0.0282 Root mean squared error 0.1678 Relative absolute error 11.4976 % Root relative squared error 47.9533 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.808 0.024 0.848 0.808 0.828 0.892 chest 0.937 0.014 0.915 0.937 0.926 0.962 forearm 0.89 0.022 0.871 0.89 0.88 0.934 head 0.955 0.003 0.983 0.955 0.969 0.976 shin 0.965 0.008 0.953 0.965 0.959 0.978 thigh 0.849 0.025 0.849 0.849 0.849 0.912 upperarm 0.907 0.019 0.891 0.907 0.899 0.944 waist Weighted Avg. 0.901 0.016 0.901 0.901 0.901 0.943 === Confusion Matrix === a b c d e f g <-- classified as 391 8 20 0 2 37 26 | a = chest 3 431 3 0 2 4 17 | b = forearm 14 8 431 0 0 29 2 | c = head 1 1 1 464 16 0 3 | d = shin 1 2 1 8 467 0 5 | e = thigh 27 6 37 0 2 412 1 | f = upperarm 24 15 2 0 1 3 441 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3064 90.9469 % Incorrectly Classified Instances 305 9.0531 % Kappa statistic 0.8944 Mean absolute error 0.0259 Root mean squared error 0.1608 Relative absolute error 10.5626 % Root relative squared error 45.9622 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.839 0.018 0.886 0.839 0.862 0.91 chest 0.928 0.015 0.904 0.928 0.916 0.956 forearm 0.903 0.018 0.892 0.903 0.897 0.942 head 0.951 0.003 0.981 0.951 0.966 0.974 shin 0.955 0.011 0.935 0.955 0.945 0.972 thigh 0.858 0.024 0.86 0.858 0.859 0.917 upperarm 0.934 0.016 0.908 0.934 0.921 0.959 waist Weighted Avg. 0.909 0.015 0.91 0.909 0.909 0.947 === Confusion Matrix === a b c d e f g <-- classified as 406 8 11 0 3 30 26 | a = chest 7 426 4 1 5 5 11 | b = forearm 12 7 437 0 0 28 0 | c = head 1 2 1 463 15 1 4 | d = shin 1 3 3 8 462 2 5 | e = thigh 22 9 34 0 4 416 0 | f = upperarm 9 16 0 0 5 2 454 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3034 90.0564 % Incorrectly Classified Instances 335 9.9436 % Kappa statistic 0.884 Mean absolute error 0.0284 Root mean squared error 0.1686 Relative absolute error 11.6016 % Root relative squared error 48.1696 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.808 0.023 0.854 0.808 0.83 0.892 chest 0.93 0.014 0.91 0.93 0.92 0.958 forearm 0.882 0.024 0.863 0.882 0.872 0.929 head 0.953 0.004 0.975 0.953 0.964 0.974 shin 0.965 0.008 0.955 0.965 0.96 0.979 thigh 0.843 0.028 0.835 0.843 0.839 0.908 upperarm 0.924 0.015 0.912 0.924 0.918 0.954 waist Weighted Avg. 0.901 0.017 0.901 0.901 0.9 0.942 === Confusion Matrix === a b c d e f g <-- classified as 391 9 18 0 3 39 24 | a = chest 4 427 1 3 4 7 13 | b = forearm 18 5 427 0 0 33 1 | c = head 0 4 1 464 15 2 1 | d = shin 5 0 2 8 468 0 2 | e = thigh 25 6 42 1 0 409 2 | f = upperarm 15 18 4 0 0 0 448 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3051 90.561 % Incorrectly Classified Instances 318 9.439 % Kappa statistic 0.8899 Mean absolute error 0.027 Root mean squared error 0.1642 Relative absolute error 11.0128 % Root relative squared error 46.9315 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.802 0.021 0.862 0.802 0.831 0.89 chest 0.935 0.01 0.935 0.935 0.935 0.962 forearm 0.903 0.025 0.859 0.903 0.88 0.939 head 0.959 0.005 0.973 0.959 0.966 0.977 shin 0.953 0.007 0.959 0.953 0.956 0.973 thigh 0.862 0.021 0.873 0.862 0.867 0.92 upperarm 0.928 0.021 0.882 0.928 0.905 0.954 waist Weighted Avg. 0.906 0.016 0.906 0.906 0.905 0.945 === Confusion Matrix === a b c d e f g <-- classified as 388 8 24 0 3 27 34 | a = chest 7 429 2 1 1 6 13 | b = forearm 14 3 438 0 0 25 5 | c = head 2 1 2 466 14 0 1 | d = shin 1 0 3 12 462 2 5 | e = thigh 22 3 39 0 1 418 2 | f = upperarm 16 15 2 0 1 1 450 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3069 91.0953 % Incorrectly Classified Instances 300 8.9047 % Kappa statistic 0.8961 Mean absolute error 0.0254 Root mean squared error 0.1595 Relative absolute error 10.3895 % Root relative squared error 45.5839 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.839 0.023 0.858 0.839 0.848 0.908 chest 0.922 0.011 0.928 0.922 0.925 0.955 forearm 0.895 0.021 0.879 0.895 0.887 0.937 head 0.951 0.003 0.983 0.951 0.967 0.974 shin 0.973 0.008 0.954 0.973 0.963 0.983 thigh 0.876 0.023 0.867 0.876 0.872 0.927 upperarm 0.922 0.015 0.91 0.922 0.916 0.953 waist Weighted Avg. 0.911 0.015 0.911 0.911 0.911 0.948 === Confusion Matrix === a b c d e f g <-- classified as 406 10 17 1 3 23 24 | a = chest 7 423 6 1 1 7 14 | b = forearm 17 4 434 0 1 28 1 | c = head 1 2 1 462 17 2 1 | d = shin 2 0 1 6 472 2 2 | e = thigh 21 2 34 0 1 425 2 | f = upperarm 19 15 1 0 0 3 447 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3044 90.3532 % Incorrectly Classified Instances 325 9.6468 % Kappa statistic 0.8875 Mean absolute error 0.0276 Root mean squared error 0.166 Relative absolute error 11.2552 % Root relative squared error 47.4452 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.81 0.021 0.867 0.81 0.838 0.895 chest 0.941 0.015 0.908 0.941 0.924 0.963 forearm 0.905 0.02 0.885 0.905 0.895 0.943 head 0.932 0.002 0.985 0.932 0.958 0.965 shin 0.946 0.011 0.937 0.946 0.942 0.968 thigh 0.858 0.027 0.842 0.858 0.85 0.915 upperarm 0.934 0.017 0.904 0.934 0.919 0.959 waist Weighted Avg. 0.904 0.016 0.904 0.904 0.903 0.944 === Confusion Matrix === a b c d e f g <-- classified as 392 7 15 1 5 35 29 | a = chest 8 432 1 1 0 8 9 | b = forearm 16 1 439 0 0 29 0 | c = head 2 5 0 453 24 2 0 | d = shin 3 6 1 5 459 3 8 | e = thigh 19 9 37 0 2 416 2 | f = upperarm 12 16 3 0 0 1 453 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3048 90.472 % Incorrectly Classified Instances 321 9.528 % Kappa statistic 0.8888 Mean absolute error 0.0272 Root mean squared error 0.165 Relative absolute error 11.1167 % Root relative squared error 47.1524 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.819 0.021 0.865 0.819 0.841 0.899 chest 0.915 0.016 0.899 0.915 0.907 0.949 forearm 0.905 0.017 0.899 0.905 0.902 0.944 head 0.953 0.006 0.967 0.953 0.96 0.974 shin 0.955 0.008 0.953 0.955 0.954 0.973 thigh 0.889 0.026 0.85 0.889 0.869 0.931 upperarm 0.899 0.017 0.901 0.899 0.9 0.941 waist Weighted Avg. 0.905 0.016 0.905 0.905 0.905 0.944 === Confusion Matrix === a b c d e f g <-- classified as 397 13 15 0 2 34 24 | a = chest 6 420 2 2 2 11 16 | b = forearm 12 4 438 0 2 26 2 | c = head 0 5 1 463 14 0 3 | d = shin 2 1 2 12 462 3 2 | e = thigh 17 8 26 0 2 431 1 | f = upperarm 25 16 3 2 1 2 437 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3026 89.8456 % Incorrectly Classified Instances 342 10.1544 % Kappa statistic 0.8815 Mean absolute error 0.029 Root mean squared error 0.1703 Relative absolute error 11.8475 % Root relative squared error 48.6775 % Total Number of Instances 3368 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.816 0.025 0.846 0.816 0.831 0.896 chest 0.924 0.019 0.887 0.924 0.905 0.953 forearm 0.893 0.023 0.866 0.893 0.879 0.935 head 0.955 0.005 0.973 0.955 0.964 0.975 shin 0.944 0.007 0.958 0.944 0.951 0.969 thigh 0.854 0.025 0.85 0.854 0.852 0.914 upperarm 0.905 0.015 0.911 0.905 0.908 0.945 waist Weighted Avg. 0.898 0.017 0.899 0.898 0.898 0.941 === Confusion Matrix === a b c d e f g <-- classified as 395 11 16 0 2 37 23 | a = chest 6 424 8 1 2 6 12 | b = forearm 18 4 432 0 0 28 2 | c = head 2 3 1 464 15 1 0 | d = shin 3 4 3 12 457 0 5 | e = thigh 29 4 37 0 0 414 1 | f = upperarm 14 28 2 0 1 1 440 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3055 90.7067 % Incorrectly Classified Instances 313 9.2933 % Kappa statistic 0.8916 Mean absolute error 0.0266 Root mean squared error 0.1629 Relative absolute error 10.8429 % Root relative squared error 46.568 % Total Number of Instances 3368 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.798 0.014 0.904 0.798 0.847 0.892 chest 0.911 0.012 0.921 0.911 0.916 0.949 forearm 0.913 0.019 0.891 0.913 0.902 0.947 head 0.955 0.006 0.967 0.955 0.961 0.975 shin 0.955 0.01 0.943 0.955 0.949 0.972 thigh 0.866 0.026 0.85 0.866 0.858 0.92 upperarm 0.953 0.022 0.879 0.953 0.914 0.965 waist Weighted Avg. 0.907 0.016 0.908 0.907 0.907 0.946 === Confusion Matrix === a b c d e f g <-- classified as 386 15 9 1 1 37 35 | a = chest 4 418 7 2 5 5 18 | b = forearm 10 0 442 0 2 29 1 | c = head 1 1 0 464 18 0 2 | d = shin 0 4 0 12 462 2 4 | e = thigh 19 3 37 1 1 420 4 | f = upperarm 7 13 1 0 1 1 463 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 4 FOLD: 0 Correctly Classified Instances 3059 90.7985 % Incorrectly Classified Instances 310 9.2015 % Kappa statistic 0.8926 Mean absolute error 0.0263 Root mean squared error 0.1621 Relative absolute error 10.7358 % Root relative squared error 46.3374 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.831 0.018 0.884 0.831 0.856 0.906 chest 0.922 0.014 0.91 0.922 0.916 0.954 forearm 0.89 0.018 0.89 0.89 0.89 0.936 head 0.951 0.002 0.985 0.951 0.968 0.974 shin 0.969 0.009 0.946 0.969 0.957 0.98 thigh 0.858 0.026 0.849 0.858 0.853 0.916 upperarm 0.936 0.019 0.894 0.936 0.914 0.959 waist Weighted Avg. 0.908 0.015 0.908 0.908 0.908 0.946 === Confusion Matrix === a b c d e f g <-- classified as 402 6 16 0 6 28 26 | a = chest 4 423 2 2 3 10 15 | b = forearm 11 7 431 0 1 32 2 | c = head 2 2 1 463 14 2 3 | d = shin 0 3 2 4 470 2 4 | e = thigh 26 7 30 0 2 416 4 | f = upperarm 10 17 2 1 1 0 454 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3030 89.9377 % Incorrectly Classified Instances 339 10.0623 % Kappa statistic 0.8826 Mean absolute error 0.0287 Root mean squared error 0.1696 Relative absolute error 11.7401 % Root relative squared error 48.4564 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.822 0.022 0.861 0.822 0.841 0.9 chest 0.893 0.013 0.917 0.893 0.905 0.94 forearm 0.878 0.02 0.882 0.878 0.88 0.929 head 0.953 0.005 0.973 0.953 0.963 0.974 shin 0.961 0.01 0.941 0.961 0.951 0.975 thigh 0.862 0.023 0.862 0.862 0.862 0.919 upperarm 0.926 0.025 0.862 0.926 0.893 0.95 waist Weighted Avg. 0.899 0.017 0.9 0.899 0.899 0.941 === Confusion Matrix === a b c d e f g <-- classified as 398 10 11 2 3 27 33 | a = chest 6 410 5 4 6 5 23 | b = forearm 22 4 425 0 0 31 2 | c = head 0 1 0 464 17 0 5 | d = shin 1 2 0 7 466 3 6 | e = thigh 16 6 40 0 2 418 3 | f = upperarm 19 14 1 0 1 1 449 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3046 90.4126 % Incorrectly Classified Instances 323 9.5874 % Kappa statistic 0.8881 Mean absolute error 0.0274 Root mean squared error 0.1655 Relative absolute error 11.186 % Root relative squared error 47.299 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.798 0.021 0.864 0.798 0.829 0.888 chest 0.935 0.014 0.915 0.935 0.925 0.96 forearm 0.921 0.025 0.861 0.921 0.89 0.948 head 0.953 0.006 0.963 0.953 0.958 0.973 shin 0.946 0.006 0.962 0.946 0.954 0.97 thigh 0.856 0.021 0.872 0.856 0.864 0.917 upperarm 0.922 0.018 0.894 0.922 0.908 0.952 waist Weighted Avg. 0.904 0.016 0.904 0.904 0.904 0.944 === Confusion Matrix === a b c d e f g <-- classified as 386 9 18 1 2 36 32 | a = chest 5 429 2 4 2 6 11 | b = forearm 17 4 446 0 0 16 1 | c = head 1 2 2 463 14 0 4 | d = shin 3 2 2 13 459 3 3 | e = thigh 15 5 48 0 0 415 2 | f = upperarm 20 18 0 0 0 0 448 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3082 91.4812 % Incorrectly Classified Instances 287 8.5188 % Kappa statistic 0.9006 Mean absolute error 0.0243 Root mean squared error 0.156 Relative absolute error 9.9392 % Root relative squared error 44.5853 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.839 0.022 0.866 0.839 0.852 0.909 chest 0.919 0.015 0.908 0.919 0.913 0.952 forearm 0.919 0.018 0.897 0.919 0.908 0.951 head 0.961 0.002 0.985 0.961 0.973 0.979 shin 0.963 0.005 0.969 0.963 0.966 0.979 thigh 0.878 0.021 0.877 0.878 0.877 0.929 upperarm 0.924 0.017 0.903 0.924 0.914 0.954 waist Weighted Avg. 0.915 0.014 0.915 0.915 0.915 0.95 === Confusion Matrix === a b c d e f g <-- classified as 406 16 9 1 1 26 25 | a = chest 9 422 5 2 1 5 15 | b = forearm 8 3 445 0 1 25 2 | c = head 2 3 3 467 9 1 1 | d = shin 4 1 1 4 467 3 5 | e = thigh 22 5 31 0 1 426 0 | f = upperarm 18 15 2 0 2 0 449 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3078 91.3624 % Incorrectly Classified Instances 291 8.6376 % Kappa statistic 0.8992 Mean absolute error 0.0247 Root mean squared error 0.1571 Relative absolute error 10.0778 % Root relative squared error 44.8949 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.81 0.02 0.873 0.81 0.841 0.895 chest 0.922 0.009 0.942 0.922 0.932 0.956 forearm 0.899 0.015 0.91 0.899 0.904 0.942 head 0.951 0.002 0.989 0.951 0.97 0.974 shin 0.973 0.008 0.953 0.973 0.963 0.983 thigh 0.911 0.032 0.829 0.911 0.868 0.94 upperarm 0.93 0.016 0.908 0.93 0.919 0.957 waist Weighted Avg. 0.914 0.014 0.915 0.914 0.914 0.95 === Confusion Matrix === a b c d e f g <-- classified as 393 3 11 0 4 49 25 | a = chest 8 423 3 0 1 11 13 | b = forearm 13 5 435 0 1 28 2 | c = head 1 3 1 462 16 1 2 | d = shin 2 0 1 5 471 1 4 | e = thigh 18 3 22 0 0 442 0 | f = upperarm 15 12 5 0 1 1 452 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3017 89.5518 % Incorrectly Classified Instances 352 10.4482 % Kappa statistic 0.8781 Mean absolute error 0.0299 Root mean squared error 0.1728 Relative absolute error 12.1903 % Root relative squared error 49.3767 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.808 0.022 0.861 0.808 0.834 0.893 chest 0.904 0.013 0.918 0.904 0.911 0.946 forearm 0.899 0.026 0.852 0.899 0.875 0.936 head 0.955 0.005 0.969 0.955 0.962 0.975 shin 0.95 0.008 0.954 0.95 0.952 0.971 thigh 0.831 0.026 0.841 0.831 0.836 0.902 upperarm 0.922 0.022 0.877 0.922 0.899 0.95 waist Weighted Avg. 0.896 0.017 0.896 0.896 0.895 0.939 === Confusion Matrix === a b c d e f g <-- classified as 391 6 22 0 1 38 26 | a = chest 5 415 3 3 4 8 21 | b = forearm 15 5 436 0 0 27 2 | c = head 0 3 0 464 14 1 4 | d = shin 3 0 1 12 460 1 7 | e = thigh 23 6 49 0 1 403 3 | f = upperarm 17 17 1 0 2 1 448 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3004 89.1659 % Incorrectly Classified Instances 365 10.8341 % Kappa statistic 0.8736 Mean absolute error 0.031 Root mean squared error 0.1759 Relative absolute error 12.6405 % Root relative squared error 50.2802 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.795 0.026 0.837 0.795 0.816 0.885 chest 0.939 0.015 0.905 0.939 0.922 0.962 forearm 0.88 0.024 0.863 0.88 0.871 0.928 head 0.942 0.008 0.952 0.942 0.947 0.967 shin 0.928 0.009 0.943 0.928 0.935 0.959 thigh 0.86 0.026 0.849 0.86 0.855 0.917 upperarm 0.899 0.018 0.892 0.899 0.895 0.94 waist Weighted Avg. 0.892 0.018 0.892 0.892 0.891 0.937 === Confusion Matrix === a b c d e f g <-- classified as 385 11 26 1 1 30 30 | a = chest 8 431 3 1 2 4 10 | b = forearm 19 6 427 0 0 32 1 | c = head 0 1 1 458 22 3 1 | d = shin 3 1 2 19 449 2 8 | e = thigh 21 7 35 0 2 417 3 | f = upperarm 24 19 1 2 0 3 437 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3024 89.7596 % Incorrectly Classified Instances 345 10.2404 % Kappa statistic 0.8805 Mean absolute error 0.0293 Root mean squared error 0.1711 Relative absolute error 11.9479 % Root relative squared error 48.8833 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.795 0.025 0.844 0.795 0.819 0.885 chest 0.926 0.012 0.926 0.926 0.926 0.957 forearm 0.889 0.024 0.86 0.889 0.874 0.932 head 0.955 0.005 0.969 0.955 0.962 0.975 shin 0.95 0.01 0.941 0.95 0.946 0.97 thigh 0.854 0.026 0.848 0.854 0.851 0.914 upperarm 0.916 0.018 0.895 0.916 0.905 0.949 waist Weighted Avg. 0.898 0.017 0.897 0.898 0.897 0.94 === Confusion Matrix === a b c d e f g <-- classified as 385 10 18 0 6 34 31 | a = chest 6 425 8 2 1 4 13 | b = forearm 19 3 431 0 0 31 1 | c = head 1 1 0 464 18 0 2 | d = shin 2 2 2 11 460 4 3 | e = thigh 25 5 37 0 2 414 2 | f = upperarm 18 13 5 2 2 1 445 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3071 91.1817 % Incorrectly Classified Instances 297 8.8183 % Kappa statistic 0.8971 Mean absolute error 0.0252 Root mean squared error 0.1587 Relative absolute error 10.2886 % Root relative squared error 45.3621 % Total Number of Instances 3368 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.826 0.022 0.862 0.826 0.844 0.902 chest 0.922 0.009 0.942 0.922 0.932 0.956 forearm 0.901 0.018 0.892 0.901 0.896 0.941 head 0.957 0.005 0.973 0.957 0.965 0.976 shin 0.961 0.006 0.965 0.961 0.963 0.977 thigh 0.881 0.023 0.865 0.881 0.873 0.929 upperarm 0.936 0.02 0.888 0.936 0.912 0.958 waist Weighted Avg. 0.912 0.015 0.912 0.912 0.912 0.949 === Confusion Matrix === a b c d e f g <-- classified as 400 8 21 0 1 30 24 | a = chest 8 423 2 1 0 4 21 | b = forearm 14 2 436 0 0 32 0 | c = head 1 1 1 465 14 0 4 | d = shin 3 0 1 11 465 0 4 | e = thigh 22 3 28 0 1 428 4 | f = upperarm 16 12 0 1 1 1 454 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3032 90.0238 % Incorrectly Classified Instances 336 9.9762 % Kappa statistic 0.8836 Mean absolute error 0.0285 Root mean squared error 0.1688 Relative absolute error 11.6396 % Root relative squared error 48.2485 % Total Number of Instances 3368 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.822 0.02 0.871 0.822 0.846 0.901 chest 0.911 0.017 0.897 0.911 0.904 0.947 forearm 0.905 0.024 0.866 0.905 0.885 0.941 head 0.938 0.003 0.979 0.938 0.958 0.967 shin 0.957 0.012 0.93 0.957 0.943 0.972 thigh 0.849 0.018 0.886 0.849 0.867 0.916 upperarm 0.92 0.022 0.876 0.92 0.897 0.949 waist Weighted Avg. 0.9 0.017 0.901 0.9 0.9 0.942 === Confusion Matrix === a b c d e f g <-- classified as 398 9 16 1 1 27 32 | a = chest 5 419 3 0 5 7 21 | b = forearm 20 6 438 0 0 18 2 | c = head 1 1 0 456 25 0 3 | d = shin 3 2 2 9 463 1 4 | e = thigh 17 8 45 0 2 412 1 | f = upperarm 13 22 2 0 2 0 446 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 5 FOLD: 0 Correctly Classified Instances 3035 90.0861 % Incorrectly Classified Instances 334 9.9139 % Kappa statistic 0.8843 Mean absolute error 0.0283 Root mean squared error 0.1683 Relative absolute error 11.5669 % Root relative squared error 48.0977 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.806 0.023 0.853 0.806 0.829 0.891 chest 0.922 0.01 0.934 0.922 0.928 0.956 forearm 0.899 0.023 0.867 0.899 0.883 0.938 head 0.947 0.003 0.981 0.947 0.963 0.972 shin 0.957 0.009 0.949 0.957 0.953 0.974 thigh 0.852 0.028 0.838 0.852 0.845 0.912 upperarm 0.926 0.019 0.889 0.926 0.907 0.953 waist Weighted Avg. 0.901 0.017 0.901 0.901 0.901 0.942 === Confusion Matrix === a b c d e f g <-- classified as 390 8 17 0 2 44 23 | a = chest 5 423 4 1 3 5 18 | b = forearm 17 1 436 0 0 29 2 | c = head 1 3 3 460 16 1 2 | d = shin 2 0 2 8 464 1 8 | e = thigh 22 4 40 0 3 413 3 | f = upperarm 20 14 1 0 1 0 449 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3069 91.0953 % Incorrectly Classified Instances 300 8.9047 % Kappa statistic 0.8961 Mean absolute error 0.0254 Root mean squared error 0.1595 Relative absolute error 10.3895 % Root relative squared error 45.5839 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.824 0.019 0.877 0.824 0.85 0.902 chest 0.924 0.012 0.922 0.924 0.923 0.956 forearm 0.909 0.019 0.891 0.909 0.9 0.945 head 0.963 0.003 0.983 0.963 0.973 0.98 shin 0.961 0.008 0.955 0.961 0.958 0.977 thigh 0.874 0.024 0.86 0.874 0.867 0.925 upperarm 0.922 0.019 0.89 0.922 0.906 0.951 waist Weighted Avg. 0.911 0.015 0.911 0.911 0.911 0.948 === Confusion Matrix === a b c d e f g <-- classified as 399 7 14 0 2 34 28 | a = chest 7 424 5 1 3 6 13 | b = forearm 12 1 441 0 2 28 1 | c = head 1 0 0 468 13 0 4 | d = shin 3 3 2 7 466 1 3 | e = thigh 17 6 31 0 1 424 6 | f = upperarm 16 19 2 0 1 0 447 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3053 90.6204 % Incorrectly Classified Instances 316 9.3796 % Kappa statistic 0.8906 Mean absolute error 0.0268 Root mean squared error 0.1637 Relative absolute error 10.9436 % Root relative squared error 46.7837 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.822 0.025 0.845 0.822 0.834 0.899 chest 0.913 0.013 0.919 0.913 0.916 0.95 forearm 0.901 0.019 0.89 0.901 0.895 0.941 head 0.955 0.005 0.971 0.955 0.963 0.975 shin 0.967 0.009 0.949 0.967 0.958 0.979 thigh 0.864 0.021 0.875 0.864 0.869 0.922 upperarm 0.922 0.018 0.894 0.922 0.908 0.952 waist Weighted Avg. 0.906 0.016 0.906 0.906 0.906 0.945 === Confusion Matrix === a b c d e f g <-- classified as 398 7 14 3 3 30 29 | a = chest 9 419 4 4 1 8 14 | b = forearm 21 4 437 0 1 20 2 | c = head 1 0 0 464 17 0 4 | d = shin 3 1 1 7 469 2 2 | e = thigh 21 8 34 0 1 419 2 | f = upperarm 18 17 1 0 2 0 447 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3049 90.5016 % Incorrectly Classified Instances 320 9.4984 % Kappa statistic 0.8892 Mean absolute error 0.0271 Root mean squared error 0.1647 Relative absolute error 11.0821 % Root relative squared error 47.0789 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.812 0.024 0.851 0.812 0.831 0.894 chest 0.915 0.013 0.917 0.915 0.916 0.951 forearm 0.913 0.023 0.868 0.913 0.89 0.945 head 0.951 0.005 0.973 0.951 0.962 0.973 shin 0.963 0.008 0.951 0.963 0.957 0.977 thigh 0.849 0.017 0.894 0.849 0.871 0.916 upperarm 0.932 0.021 0.883 0.932 0.907 0.956 waist Weighted Avg. 0.905 0.016 0.905 0.905 0.905 0.945 === Confusion Matrix === a b c d e f g <-- classified as 393 14 16 2 1 24 34 | a = chest 10 420 3 1 2 6 17 | b = forearm 15 5 442 0 1 19 2 | c = head 3 0 1 463 19 0 1 | d = shin 1 2 0 10 467 0 5 | e = thigh 23 6 43 0 0 412 1 | f = upperarm 17 11 4 0 1 0 452 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3058 90.7688 % Incorrectly Classified Instances 311 9.2312 % Kappa statistic 0.8923 Mean absolute error 0.0264 Root mean squared error 0.1624 Relative absolute error 10.7704 % Root relative squared error 46.4121 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.841 0.019 0.879 0.841 0.86 0.911 chest 0.904 0.013 0.916 0.904 0.91 0.946 forearm 0.911 0.022 0.875 0.911 0.893 0.945 head 0.938 0.002 0.987 0.938 0.962 0.968 shin 0.942 0.01 0.938 0.942 0.94 0.966 thigh 0.891 0.021 0.878 0.891 0.884 0.935 upperarm 0.926 0.02 0.886 0.926 0.905 0.953 waist Weighted Avg. 0.908 0.015 0.908 0.908 0.908 0.946 === Confusion Matrix === a b c d e f g <-- classified as 407 10 16 1 2 24 24 | a = chest 7 415 4 0 6 8 19 | b = forearm 11 5 441 0 0 26 1 | c = head 2 5 1 457 20 0 2 | d = shin 3 3 4 5 456 2 11 | e = thigh 13 4 35 0 0 432 1 | f = upperarm 20 11 3 0 2 0 450 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3055 90.6797 % Incorrectly Classified Instances 314 9.3203 % Kappa statistic 0.8913 Mean absolute error 0.0266 Root mean squared error 0.1632 Relative absolute error 10.8743 % Root relative squared error 46.6354 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.804 0.025 0.846 0.804 0.825 0.89 chest 0.928 0.01 0.934 0.928 0.931 0.959 forearm 0.888 0.021 0.876 0.888 0.882 0.934 head 0.961 0.005 0.973 0.961 0.967 0.978 shin 0.952 0.008 0.951 0.952 0.951 0.972 thigh 0.887 0.021 0.876 0.887 0.881 0.933 upperarm 0.928 0.019 0.893 0.928 0.91 0.955 waist Weighted Avg. 0.907 0.016 0.907 0.907 0.907 0.946 === Confusion Matrix === a b c d e f g <-- classified as 390 10 19 0 5 26 35 | a = chest 4 426 3 2 1 7 16 | b = forearm 21 7 430 0 0 26 0 | c = head 2 0 1 467 15 0 1 | d = shin 6 1 3 11 461 0 2 | e = thigh 20 2 32 0 1 430 0 | f = upperarm 18 10 3 0 2 2 451 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3027 89.8486 % Incorrectly Classified Instances 342 10.1514 % Kappa statistic 0.8816 Mean absolute error 0.029 Root mean squared error 0.1703 Relative absolute error 11.844 % Root relative squared error 48.6703 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.814 0.021 0.866 0.814 0.839 0.896 chest 0.922 0.013 0.918 0.922 0.92 0.954 forearm 0.87 0.027 0.845 0.87 0.857 0.922 head 0.953 0.003 0.983 0.953 0.968 0.975 shin 0.961 0.007 0.957 0.961 0.959 0.977 thigh 0.842 0.025 0.85 0.842 0.846 0.908 upperarm 0.93 0.023 0.874 0.93 0.901 0.954 waist Weighted Avg. 0.898 0.017 0.899 0.898 0.898 0.941 === Confusion Matrix === a b c d e f g <-- classified as 394 3 18 1 1 35 32 | a = chest 5 423 3 1 1 8 18 | b = forearm 26 7 421 0 0 27 3 | c = head 1 1 1 463 16 1 3 | d = shin 2 1 2 6 465 1 7 | e = thigh 17 6 50 0 2 409 2 | f = upperarm 10 20 3 0 1 0 452 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3016 89.5221 % Incorrectly Classified Instances 353 10.4779 % Kappa statistic 0.8778 Mean absolute error 0.0299 Root mean squared error 0.173 Relative absolute error 12.2249 % Root relative squared error 49.4467 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.785 0.021 0.86 0.785 0.821 0.882 chest 0.922 0.015 0.906 0.922 0.914 0.953 forearm 0.909 0.025 0.861 0.909 0.884 0.942 head 0.93 0.005 0.968 0.93 0.949 0.962 shin 0.95 0.011 0.937 0.95 0.944 0.97 thigh 0.856 0.026 0.847 0.856 0.851 0.915 upperarm 0.916 0.019 0.89 0.916 0.903 0.948 waist Weighted Avg. 0.895 0.017 0.895 0.895 0.895 0.939 === Confusion Matrix === a b c d e f g <-- classified as 380 14 25 0 4 31 30 | a = chest 9 424 7 0 1 8 11 | b = forearm 9 4 440 0 0 29 2 | c = head 2 4 2 452 23 0 3 | d = shin 2 1 0 14 460 3 4 | e = thigh 24 5 36 0 0 415 5 | f = upperarm 16 16 1 1 3 4 445 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3029 89.9347 % Incorrectly Classified Instances 339 10.0653 % Kappa statistic 0.8826 Mean absolute error 0.0288 Root mean squared error 0.1696 Relative absolute error 11.7436 % Root relative squared error 48.4635 % Total Number of Instances 3368 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.8 0.025 0.843 0.8 0.821 0.887 chest 0.908 0.01 0.935 0.908 0.922 0.949 forearm 0.915 0.023 0.872 0.915 0.893 0.946 head 0.951 0.005 0.971 0.951 0.96 0.973 shin 0.969 0.012 0.931 0.969 0.949 0.978 thigh 0.845 0.027 0.838 0.845 0.842 0.909 upperarm 0.907 0.016 0.907 0.907 0.907 0.946 waist Weighted Avg. 0.899 0.017 0.899 0.899 0.899 0.941 === Confusion Matrix === a b c d e f g <-- classified as 387 5 21 0 4 45 22 | a = chest 9 417 3 3 4 5 18 | b = forearm 14 3 443 0 1 23 0 | c = head 0 0 0 462 21 1 2 | d = shin 1 0 2 9 469 2 1 | e = thigh 33 2 35 1 2 410 2 | f = upperarm 15 19 4 1 3 3 441 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3045 90.4097 % Incorrectly Classified Instances 323 9.5903 % Kappa statistic 0.8881 Mean absolute error 0.0274 Root mean squared error 0.1655 Relative absolute error 11.1893 % Root relative squared error 47.306 % Total Number of Instances 3368 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.82 0.021 0.865 0.82 0.842 0.899 chest 0.939 0.014 0.911 0.939 0.925 0.962 forearm 0.897 0.02 0.882 0.897 0.889 0.938 head 0.944 0.004 0.975 0.944 0.959 0.97 shin 0.946 0.01 0.942 0.946 0.944 0.968 thigh 0.862 0.022 0.867 0.862 0.865 0.92 upperarm 0.922 0.02 0.887 0.922 0.904 0.951 waist Weighted Avg. 0.904 0.016 0.904 0.904 0.904 0.944 === Confusion Matrix === a b c d e f g <-- classified as 397 5 20 0 1 28 33 | a = chest 4 431 3 0 4 2 15 | b = forearm 17 3 434 0 0 30 0 | c = head 0 4 1 459 19 0 3 | d = shin 2 2 2 12 458 3 5 | e = thigh 21 10 32 0 3 418 1 | f = upperarm 18 18 0 0 1 1 448 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 6 FOLD: 0 Correctly Classified Instances 3053 90.6204 % Incorrectly Classified Instances 316 9.3796 % Kappa statistic 0.8906 Mean absolute error 0.0268 Root mean squared error 0.1637 Relative absolute error 10.9436 % Root relative squared error 46.7837 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.833 0.024 0.854 0.833 0.843 0.904 chest 0.935 0.019 0.888 0.935 0.911 0.958 forearm 0.878 0.016 0.9 0.878 0.889 0.931 head 0.953 0.003 0.979 0.953 0.966 0.975 shin 0.963 0.007 0.961 0.963 0.962 0.978 thigh 0.87 0.023 0.863 0.87 0.867 0.924 upperarm 0.913 0.017 0.899 0.913 0.906 0.948 waist Weighted Avg. 0.906 0.016 0.906 0.906 0.906 0.945 === Confusion Matrix === a b c d e f g <-- classified as 403 11 13 1 1 27 28 | a = chest 7 429 2 1 1 6 13 | b = forearm 17 10 425 0 0 30 2 | c = head 1 7 0 463 13 1 1 | d = shin 3 2 1 8 467 1 3 | e = thigh 22 5 29 0 4 423 3 | f = upperarm 19 19 2 0 0 2 443 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3043 90.3235 % Incorrectly Classified Instances 326 9.6765 % Kappa statistic 0.8871 Mean absolute error 0.0276 Root mean squared error 0.1663 Relative absolute error 11.2898 % Root relative squared error 47.518 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.804 0.018 0.882 0.804 0.841 0.893 chest 0.915 0.013 0.915 0.915 0.915 0.951 forearm 0.911 0.026 0.856 0.911 0.883 0.943 head 0.951 0.003 0.981 0.951 0.966 0.974 shin 0.963 0.007 0.959 0.963 0.961 0.978 thigh 0.858 0.026 0.847 0.858 0.852 0.916 upperarm 0.922 0.02 0.887 0.922 0.904 0.951 waist Weighted Avg. 0.903 0.016 0.904 0.903 0.903 0.944 === Confusion Matrix === a b c d e f g <-- classified as 389 10 21 0 2 33 29 | a = chest 5 421 5 2 1 13 13 | b = forearm 10 4 441 0 0 27 2 | c = head 0 4 1 462 15 1 3 | d = shin 2 2 0 7 467 1 6 | e = thigh 18 3 44 0 0 416 4 | f = upperarm 17 16 3 0 2 0 447 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3064 90.9469 % Incorrectly Classified Instances 305 9.0531 % Kappa statistic 0.8944 Mean absolute error 0.0259 Root mean squared error 0.1608 Relative absolute error 10.5626 % Root relative squared error 45.9622 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.808 0.021 0.867 0.808 0.836 0.894 chest 0.917 0.009 0.942 0.917 0.929 0.954 forearm 0.899 0.016 0.902 0.899 0.901 0.941 head 0.951 0.004 0.977 0.951 0.964 0.973 shin 0.965 0.009 0.945 0.965 0.955 0.978 thigh 0.874 0.024 0.858 0.874 0.866 0.925 upperarm 0.953 0.022 0.879 0.953 0.914 0.965 waist Weighted Avg. 0.909 0.015 0.91 0.909 0.909 0.947 === Confusion Matrix === a b c d e f g <-- classified as 391 10 12 1 3 36 31 | a = chest 5 421 3 1 5 4 20 | b = forearm 13 7 435 0 0 26 3 | c = head 1 1 0 462 16 1 5 | d = shin 0 0 3 9 468 2 3 | e = thigh 27 1 29 0 2 424 2 | f = upperarm 14 7 0 0 1 1 463 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3070 91.125 % Incorrectly Classified Instances 299 8.875 % Kappa statistic 0.8965 Mean absolute error 0.0254 Root mean squared error 0.1592 Relative absolute error 10.3548 % Root relative squared error 45.5079 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.814 0.018 0.883 0.814 0.847 0.898 chest 0.93 0.011 0.928 0.93 0.929 0.959 forearm 0.911 0.018 0.895 0.911 0.903 0.947 head 0.944 0.004 0.977 0.944 0.96 0.97 shin 0.965 0.011 0.938 0.965 0.951 0.977 thigh 0.88 0.026 0.851 0.88 0.865 0.927 upperarm 0.934 0.016 0.91 0.934 0.922 0.959 waist Weighted Avg. 0.911 0.015 0.911 0.911 0.911 0.948 === Confusion Matrix === a b c d e f g <-- classified as 394 3 17 1 4 39 26 | a = chest 4 427 3 3 2 6 14 | b = forearm 12 4 442 0 1 26 0 | c = head 1 2 2 459 19 2 1 | d = shin 2 4 0 7 467 2 2 | e = thigh 18 6 29 0 3 427 2 | f = upperarm 15 14 1 0 2 0 454 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3041 90.2642 % Incorrectly Classified Instances 328 9.7358 % Kappa statistic 0.8864 Mean absolute error 0.0278 Root mean squared error 0.1668 Relative absolute error 11.3591 % Root relative squared error 47.6637 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.814 0.02 0.87 0.814 0.841 0.897 chest 0.924 0.014 0.914 0.924 0.919 0.955 forearm 0.889 0.026 0.852 0.889 0.87 0.931 head 0.957 0.004 0.977 0.957 0.967 0.976 shin 0.963 0.008 0.951 0.963 0.957 0.977 thigh 0.843 0.028 0.836 0.843 0.84 0.908 upperarm 0.93 0.014 0.921 0.93 0.925 0.958 waist Weighted Avg. 0.903 0.016 0.903 0.903 0.903 0.943 === Confusion Matrix === a b c d e f g <-- classified as 394 12 18 0 5 35 20 | a = chest 9 424 2 1 4 10 9 | b = forearm 14 5 431 0 0 30 5 | c = head 2 3 1 465 13 1 1 | d = shin 2 0 1 10 466 2 3 | e = thigh 17 6 50 0 2 409 1 | f = upperarm 15 14 3 0 0 2 452 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2998 88.9878 % Incorrectly Classified Instances 371 11.0122 % Kappa statistic 0.8715 Mean absolute error 0.0315 Root mean squared error 0.1774 Relative absolute error 12.8483 % Root relative squared error 50.6918 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.812 0.024 0.851 0.812 0.831 0.894 chest 0.926 0.02 0.88 0.926 0.902 0.953 forearm 0.874 0.027 0.846 0.874 0.86 0.924 head 0.953 0.005 0.973 0.953 0.963 0.974 shin 0.934 0.009 0.946 0.934 0.94 0.962 thigh 0.821 0.026 0.84 0.821 0.83 0.897 upperarm 0.912 0.018 0.895 0.912 0.903 0.947 waist Weighted Avg. 0.89 0.018 0.89 0.89 0.89 0.936 === Confusion Matrix === a b c d e f g <-- classified as 393 15 10 0 6 34 26 | a = chest 8 425 3 0 4 5 14 | b = forearm 22 8 424 0 0 31 0 | c = head 1 1 2 463 14 1 4 | d = shin 5 5 2 13 452 1 6 | e = thigh 19 8 57 0 1 398 2 | f = upperarm 14 21 3 0 1 4 443 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3039 90.2048 % Incorrectly Classified Instances 330 9.7952 % Kappa statistic 0.8857 Mean absolute error 0.028 Root mean squared error 0.1673 Relative absolute error 11.4284 % Root relative squared error 47.8088 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.82 0.025 0.846 0.82 0.833 0.898 chest 0.924 0.015 0.904 0.924 0.914 0.954 forearm 0.899 0.02 0.881 0.899 0.89 0.939 head 0.934 0.003 0.983 0.934 0.958 0.966 shin 0.952 0.01 0.941 0.952 0.947 0.971 thigh 0.864 0.024 0.86 0.864 0.862 0.92 upperarm 0.922 0.017 0.901 0.922 0.911 0.952 waist Weighted Avg. 0.902 0.016 0.902 0.902 0.902 0.943 === Confusion Matrix === a b c d e f g <-- classified as 397 7 16 0 3 30 31 | a = chest 6 424 4 2 1 8 14 | b = forearm 20 2 435 0 1 25 1 | c = head 3 5 0 455 22 2 0 | d = shin 5 5 3 6 461 2 2 | e = thigh 23 8 34 0 0 419 1 | f = upperarm 15 18 2 0 2 1 448 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3035 90.0861 % Incorrectly Classified Instances 334 9.9139 % Kappa statistic 0.8843 Mean absolute error 0.0283 Root mean squared error 0.1683 Relative absolute error 11.5669 % Root relative squared error 48.0977 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.791 0.021 0.861 0.791 0.825 0.885 chest 0.917 0.015 0.907 0.917 0.912 0.951 forearm 0.895 0.021 0.875 0.895 0.885 0.937 head 0.963 0.006 0.967 0.963 0.965 0.979 shin 0.942 0.008 0.954 0.942 0.948 0.967 thigh 0.876 0.026 0.848 0.876 0.862 0.925 upperarm 0.922 0.018 0.894 0.922 0.908 0.952 waist Weighted Avg. 0.901 0.017 0.901 0.901 0.901 0.942 === Confusion Matrix === a b c d e f g <-- classified as 383 14 23 0 1 37 26 | a = chest 6 421 4 2 4 5 17 | b = forearm 15 3 433 0 1 31 1 | c = head 0 1 0 469 15 1 1 | d = shin 1 2 2 14 456 2 7 | e = thigh 22 4 32 0 1 425 1 | f = upperarm 18 19 1 0 0 0 448 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3043 90.3504 % Incorrectly Classified Instances 325 9.6496 % Kappa statistic 0.8874 Mean absolute error 0.0276 Root mean squared error 0.166 Relative absolute error 11.2586 % Root relative squared error 47.4523 % Total Number of Instances 3368 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.814 0.024 0.849 0.814 0.832 0.895 chest 0.904 0.015 0.904 0.904 0.904 0.945 forearm 0.919 0.02 0.883 0.919 0.901 0.949 head 0.953 0.004 0.977 0.953 0.965 0.974 shin 0.948 0.008 0.954 0.948 0.951 0.97 thigh 0.86 0.022 0.871 0.86 0.865 0.919 upperarm 0.926 0.02 0.887 0.926 0.906 0.953 waist Weighted Avg. 0.904 0.016 0.904 0.904 0.903 0.944 === Confusion Matrix === a b c d e f g <-- classified as 395 14 15 0 0 33 28 | a = chest 11 415 4 1 3 5 20 | b = forearm 17 0 445 0 0 22 0 | c = head 2 2 1 463 15 0 3 | d = shin 3 4 3 10 459 1 4 | e = thigh 23 5 36 0 2 417 2 | f = upperarm 14 19 0 0 2 1 449 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3047 90.4691 % Incorrectly Classified Instances 321 9.5309 % Kappa statistic 0.8888 Mean absolute error 0.0272 Root mean squared error 0.165 Relative absolute error 11.12 % Root relative squared error 47.1593 % Total Number of Instances 3368 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.814 0.019 0.879 0.814 0.845 0.898 chest 0.928 0.015 0.906 0.928 0.917 0.956 forearm 0.899 0.02 0.881 0.899 0.89 0.939 head 0.934 0.004 0.974 0.934 0.954 0.965 shin 0.961 0.009 0.945 0.961 0.953 0.976 thigh 0.885 0.026 0.85 0.885 0.867 0.929 upperarm 0.913 0.017 0.9 0.913 0.907 0.948 waist Weighted Avg. 0.905 0.016 0.905 0.905 0.905 0.944 === Confusion Matrix === a b c d e f g <-- classified as 394 8 21 2 1 32 26 | a = chest 7 426 2 1 0 12 11 | b = forearm 13 6 435 0 1 29 0 | c = head 0 2 2 454 23 0 5 | d = shin 2 1 0 9 466 2 5 | e = thigh 16 6 31 0 1 429 2 | f = upperarm 16 21 3 0 1 1 443 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 7 FOLD: 0 Correctly Classified Instances 3056 90.7094 % Incorrectly Classified Instances 313 9.2906 % Kappa statistic 0.8916 Mean absolute error 0.0265 Root mean squared error 0.1629 Relative absolute error 10.8397 % Root relative squared error 46.5611 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.837 0.024 0.857 0.837 0.847 0.907 chest 0.932 0.014 0.913 0.932 0.922 0.959 forearm 0.895 0.018 0.893 0.895 0.894 0.938 head 0.934 0.004 0.976 0.934 0.955 0.965 shin 0.957 0.01 0.939 0.957 0.948 0.973 thigh 0.889 0.019 0.887 0.889 0.888 0.935 upperarm 0.907 0.019 0.887 0.907 0.897 0.944 waist Weighted Avg. 0.907 0.015 0.907 0.907 0.907 0.946 === Confusion Matrix === a b c d e f g <-- classified as 406 4 15 0 4 24 32 | a = chest 6 428 1 1 2 6 15 | b = forearm 23 5 433 0 0 22 1 | c = head 3 3 1 455 22 1 2 | d = shin 1 3 0 9 463 2 6 | e = thigh 16 5 32 0 1 431 0 | f = upperarm 19 21 3 1 1 0 440 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3017 89.5518 % Incorrectly Classified Instances 352 10.4482 % Kappa statistic 0.8781 Mean absolute error 0.0299 Root mean squared error 0.1728 Relative absolute error 12.1903 % Root relative squared error 49.3766 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.816 0.029 0.826 0.816 0.821 0.894 chest 0.922 0.014 0.91 0.922 0.916 0.954 forearm 0.895 0.021 0.877 0.895 0.885 0.937 head 0.94 0.005 0.972 0.94 0.956 0.968 shin 0.948 0.01 0.943 0.948 0.946 0.969 thigh 0.839 0.024 0.853 0.839 0.846 0.907 upperarm 0.909 0.019 0.889 0.909 0.899 0.945 waist Weighted Avg. 0.896 0.017 0.896 0.896 0.896 0.939 === Confusion Matrix === a b c d e f g <-- classified as 395 13 12 1 2 32 29 | a = chest 7 424 4 1 3 8 13 | b = forearm 16 5 433 0 0 26 4 | c = head 2 2 0 457 21 1 3 | d = shin 4 2 2 11 460 2 4 | e = thigh 31 5 39 0 1 407 2 | f = upperarm 23 15 4 0 1 1 441 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3029 89.908 % Incorrectly Classified Instances 340 10.092 % Kappa statistic 0.8823 Mean absolute error 0.0288 Root mean squared error 0.1698 Relative absolute error 11.7747 % Root relative squared error 48.5278 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.777 0.025 0.841 0.777 0.808 0.876 chest 0.932 0.021 0.877 0.932 0.904 0.956 forearm 0.901 0.02 0.883 0.901 0.892 0.94 head 0.957 0.002 0.987 0.957 0.972 0.977 shin 0.953 0.007 0.96 0.953 0.957 0.973 thigh 0.846 0.023 0.86 0.846 0.853 0.911 upperarm 0.93 0.02 0.884 0.93 0.907 0.955 waist Weighted Avg. 0.899 0.017 0.899 0.899 0.899 0.941 === Confusion Matrix === a b c d e f g <-- classified as 376 15 23 0 2 38 30 | a = chest 8 428 2 1 2 2 16 | b = forearm 17 6 436 0 0 24 1 | c = head 1 5 0 465 13 0 2 | d = shin 3 6 1 5 462 2 6 | e = thigh 29 8 32 0 2 411 4 | f = upperarm 13 20 0 0 0 1 451 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3069 91.0953 % Incorrectly Classified Instances 300 8.9047 % Kappa statistic 0.8961 Mean absolute error 0.0254 Root mean squared error 0.1595 Relative absolute error 10.3895 % Root relative squared error 45.5839 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.835 0.023 0.858 0.835 0.846 0.906 chest 0.937 0.014 0.915 0.937 0.926 0.962 forearm 0.919 0.021 0.879 0.919 0.899 0.949 head 0.961 0.003 0.983 0.961 0.972 0.979 shin 0.971 0.008 0.955 0.971 0.963 0.982 thigh 0.849 0.018 0.89 0.849 0.869 0.916 upperarm 0.905 0.018 0.896 0.905 0.901 0.944 waist Weighted Avg. 0.911 0.015 0.911 0.911 0.911 0.948 === Confusion Matrix === a b c d e f g <-- classified as 404 7 12 0 3 23 35 | a = chest 8 430 7 0 3 3 8 | b = forearm 13 3 445 0 1 21 1 | c = head 1 0 0 467 13 1 4 | d = shin 3 0 1 7 471 0 3 | e = thigh 26 8 38 0 1 412 0 | f = upperarm 16 22 3 1 1 3 440 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3043 90.3235 % Incorrectly Classified Instances 326 9.6765 % Kappa statistic 0.8871 Mean absolute error 0.0276 Root mean squared error 0.1663 Relative absolute error 11.2899 % Root relative squared error 47.5182 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.814 0.018 0.885 0.814 0.848 0.898 chest 0.904 0.014 0.91 0.904 0.907 0.945 forearm 0.903 0.024 0.862 0.903 0.882 0.939 head 0.947 0.005 0.97 0.947 0.958 0.971 shin 0.948 0.011 0.935 0.948 0.942 0.969 thigh 0.868 0.023 0.866 0.868 0.867 0.923 upperarm 0.938 0.018 0.896 0.938 0.917 0.96 waist Weighted Avg. 0.903 0.016 0.904 0.903 0.903 0.944 === Confusion Matrix === a b c d e f g <-- classified as 394 12 27 1 1 30 19 | a = chest 9 415 6 1 6 7 15 | b = forearm 14 5 437 0 1 24 3 | c = head 1 0 0 460 20 1 4 | d = shin 0 1 0 12 460 3 9 | e = thigh 18 4 36 0 3 421 3 | f = upperarm 9 19 1 0 1 0 456 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3072 91.1843 % Incorrectly Classified Instances 297 8.8157 % Kappa statistic 0.8971 Mean absolute error 0.0252 Root mean squared error 0.1587 Relative absolute error 10.2856 % Root relative squared error 45.3554 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.833 0.02 0.872 0.833 0.852 0.906 chest 0.943 0.013 0.917 0.943 0.93 0.965 forearm 0.887 0.018 0.894 0.887 0.89 0.934 head 0.957 0.005 0.973 0.957 0.965 0.976 shin 0.952 0.008 0.952 0.952 0.952 0.972 thigh 0.889 0.024 0.86 0.889 0.874 0.932 upperarm 0.924 0.015 0.914 0.924 0.919 0.955 waist Weighted Avg. 0.912 0.015 0.912 0.912 0.912 0.949 === Confusion Matrix === a b c d e f g <-- classified as 403 10 15 1 1 30 24 | a = chest 5 433 4 1 3 3 10 | b = forearm 17 4 430 0 0 33 1 | c = head 1 4 1 465 13 0 2 | d = shin 3 1 2 11 461 3 3 | e = thigh 18 5 27 0 2 431 2 | f = upperarm 15 15 2 0 4 1 449 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3034 90.0564 % Incorrectly Classified Instances 335 9.9436 % Kappa statistic 0.884 Mean absolute error 0.0284 Root mean squared error 0.1686 Relative absolute error 11.6016 % Root relative squared error 48.1696 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.816 0.024 0.849 0.816 0.832 0.896 chest 0.882 0.01 0.933 0.882 0.907 0.936 forearm 0.893 0.023 0.866 0.893 0.879 0.935 head 0.951 0.005 0.971 0.951 0.96 0.973 shin 0.959 0.006 0.967 0.959 0.963 0.977 thigh 0.862 0.026 0.85 0.862 0.856 0.918 upperarm 0.94 0.023 0.875 0.94 0.907 0.959 waist Weighted Avg. 0.901 0.017 0.901 0.901 0.901 0.942 === Confusion Matrix === a b c d e f g <-- classified as 395 7 18 1 0 31 32 | a = chest 9 405 6 2 0 12 25 | b = forearm 18 6 433 0 0 26 2 | c = head 2 2 1 462 16 2 1 | d = shin 1 1 3 11 464 3 1 | e = thigh 21 5 37 0 0 418 4 | f = upperarm 19 8 2 0 0 0 457 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3031 89.9673 % Incorrectly Classified Instances 338 10.0327 % Kappa statistic 0.8829 Mean absolute error 0.0287 Root mean squared error 0.1693 Relative absolute error 11.7055 % Root relative squared error 48.3848 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.808 0.022 0.859 0.808 0.833 0.893 chest 0.919 0.016 0.898 0.919 0.909 0.951 forearm 0.878 0.018 0.889 0.878 0.884 0.93 head 0.957 0.003 0.981 0.957 0.969 0.977 shin 0.961 0.009 0.947 0.961 0.954 0.976 thigh 0.86 0.032 0.819 0.86 0.839 0.914 upperarm 0.916 0.016 0.906 0.916 0.911 0.95 waist Weighted Avg. 0.9 0.017 0.9 0.9 0.9 0.941 === Confusion Matrix === a b c d e f g <-- classified as 391 13 10 0 7 43 20 | a = chest 6 422 3 2 1 9 16 | b = forearm 15 6 426 0 1 36 1 | c = head 1 2 1 465 15 1 1 | d = shin 4 0 1 7 465 2 5 | e = thigh 21 7 37 0 0 417 3 | f = upperarm 17 20 1 0 2 1 445 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3037 90.1722 % Incorrectly Classified Instances 331 9.8278 % Kappa statistic 0.8853 Mean absolute error 0.0281 Root mean squared error 0.1676 Relative absolute error 11.4664 % Root relative squared error 47.8883 % Total Number of Instances 3368 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.822 0.024 0.854 0.822 0.838 0.899 chest 0.895 0.009 0.941 0.895 0.917 0.943 forearm 0.901 0.024 0.863 0.901 0.882 0.938 head 0.938 0.005 0.968 0.938 0.953 0.967 shin 0.959 0.008 0.951 0.959 0.955 0.975 thigh 0.852 0.025 0.85 0.852 0.851 0.913 upperarm 0.944 0.019 0.891 0.944 0.917 0.963 waist Weighted Avg. 0.902 0.016 0.902 0.902 0.902 0.943 === Confusion Matrix === a b c d e f g <-- classified as 398 7 15 0 2 33 29 | a = chest 18 411 3 5 3 7 12 | b = forearm 12 2 436 0 0 32 2 | c = head 1 2 2 456 16 1 8 | d = shin 3 2 2 10 464 0 3 | e = thigh 19 1 47 0 3 413 2 | f = upperarm 15 12 0 0 0 0 459 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3019 89.6378 % Incorrectly Classified Instances 349 10.3622 % Kappa statistic 0.8791 Mean absolute error 0.0296 Root mean squared error 0.1721 Relative absolute error 12.09 % Root relative squared error 49.1731 % Total Number of Instances 3368 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.791 0.032 0.805 0.791 0.798 0.88 chest 0.928 0.014 0.912 0.928 0.92 0.957 forearm 0.907 0.024 0.866 0.907 0.886 0.942 head 0.953 0.003 0.979 0.953 0.966 0.975 shin 0.942 0.008 0.95 0.942 0.946 0.967 thigh 0.845 0.023 0.86 0.845 0.852 0.911 upperarm 0.909 0.016 0.906 0.909 0.907 0.947 waist Weighted Avg. 0.896 0.017 0.897 0.896 0.896 0.94 === Confusion Matrix === a b c d e f g <-- classified as 383 9 23 0 3 42 24 | a = chest 12 426 1 0 3 5 12 | b = forearm 21 6 439 0 0 17 1 | c = head 2 3 1 464 17 0 0 | d = shin 7 4 2 10 456 1 4 | e = thigh 26 4 39 0 1 410 5 | f = upperarm 25 15 2 0 0 2 441 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 8 FOLD: 0 Correctly Classified Instances 3029 89.908 % Incorrectly Classified Instances 340 10.092 % Kappa statistic 0.8823 Mean absolute error 0.0288 Root mean squared error 0.1698 Relative absolute error 11.7747 % Root relative squared error 48.5278 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.792 0.022 0.857 0.792 0.823 0.885 chest 0.926 0.015 0.904 0.926 0.915 0.955 forearm 0.909 0.024 0.864 0.909 0.886 0.943 head 0.943 0.005 0.968 0.943 0.955 0.969 shin 0.934 0.008 0.95 0.934 0.942 0.963 thigh 0.866 0.025 0.855 0.866 0.861 0.921 upperarm 0.926 0.018 0.896 0.926 0.911 0.954 waist Weighted Avg. 0.899 0.017 0.899 0.899 0.899 0.941 === Confusion Matrix === a b c d e f g <-- classified as 384 9 23 1 5 38 25 | a = chest 7 425 1 2 3 5 16 | b = forearm 15 5 440 0 0 22 2 | c = head 0 6 2 459 15 3 2 | d = shin 5 4 2 12 452 3 6 | e = thigh 20 4 39 0 1 420 1 | f = upperarm 17 17 2 0 0 0 449 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3038 90.1751 % Incorrectly Classified Instances 331 9.8249 % Kappa statistic 0.8854 Mean absolute error 0.0281 Root mean squared error 0.1675 Relative absolute error 11.463 % Root relative squared error 47.8812 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.841 0.023 0.859 0.841 0.85 0.909 chest 0.93 0.019 0.886 0.93 0.908 0.956 forearm 0.847 0.015 0.905 0.847 0.875 0.916 head 0.947 0.004 0.975 0.947 0.96 0.971 shin 0.963 0.009 0.947 0.963 0.955 0.977 thigh 0.876 0.028 0.84 0.876 0.858 0.924 upperarm 0.909 0.016 0.904 0.909 0.906 0.946 waist Weighted Avg. 0.902 0.016 0.902 0.902 0.902 0.943 === Confusion Matrix === a b c d e f g <-- classified as 407 10 8 1 1 33 24 | a = chest 9 427 2 3 1 7 10 | b = forearm 17 13 410 0 0 38 6 | c = head 0 1 0 461 22 0 3 | d = shin 2 3 1 7 467 3 2 | e = thigh 22 7 29 0 0 425 2 | f = upperarm 17 21 3 1 2 0 441 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3058 90.7688 % Incorrectly Classified Instances 311 9.2312 % Kappa statistic 0.8923 Mean absolute error 0.0264 Root mean squared error 0.1624 Relative absolute error 10.7704 % Root relative squared error 46.412 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.804 0.019 0.878 0.804 0.839 0.893 chest 0.93 0.017 0.895 0.93 0.913 0.957 forearm 0.919 0.021 0.881 0.919 0.9 0.949 head 0.961 0.003 0.983 0.961 0.972 0.979 shin 0.957 0.006 0.963 0.957 0.96 0.975 thigh 0.864 0.023 0.864 0.864 0.864 0.921 upperarm 0.92 0.019 0.89 0.92 0.905 0.95 waist Weighted Avg. 0.908 0.015 0.908 0.908 0.907 0.946 === Confusion Matrix === a b c d e f g <-- classified as 389 10 18 0 2 38 27 | a = chest 5 428 4 0 1 5 17 | b = forearm 12 7 445 0 0 20 0 | c = head 1 2 2 467 13 0 1 | d = shin 3 1 2 7 464 2 6 | e = thigh 16 10 34 0 2 419 4 | f = upperarm 17 20 0 1 0 1 446 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3039 90.2048 % Incorrectly Classified Instances 330 9.7952 % Kappa statistic 0.8857 Mean absolute error 0.028 Root mean squared error 0.1673 Relative absolute error 11.4284 % Root relative squared error 47.8088 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.802 0.022 0.86 0.802 0.83 0.89 chest 0.911 0.012 0.923 0.911 0.917 0.949 forearm 0.905 0.023 0.867 0.905 0.886 0.941 head 0.949 0.004 0.975 0.949 0.961 0.972 shin 0.969 0.01 0.944 0.969 0.956 0.98 thigh 0.846 0.024 0.858 0.846 0.852 0.911 upperarm 0.934 0.02 0.888 0.934 0.911 0.957 waist Weighted Avg. 0.902 0.016 0.902 0.902 0.902 0.943 === Confusion Matrix === a b c d e f g <-- classified as 388 11 18 0 2 33 32 | a = chest 5 418 1 3 3 12 17 | b = forearm 22 4 438 0 0 20 0 | c = head 0 3 0 461 17 1 4 | d = shin 1 0 2 9 470 2 1 | e = thigh 22 4 44 0 2 411 3 | f = upperarm 13 13 2 0 4 0 453 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3043 90.3235 % Incorrectly Classified Instances 326 9.6765 % Kappa statistic 0.8871 Mean absolute error 0.0276 Root mean squared error 0.1663 Relative absolute error 11.2899 % Root relative squared error 47.5182 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.769 0.016 0.888 0.769 0.824 0.876 chest 0.926 0.014 0.914 0.926 0.92 0.956 forearm 0.895 0.02 0.884 0.895 0.889 0.937 head 0.963 0.006 0.963 0.963 0.963 0.978 shin 0.951 0.007 0.958 0.951 0.954 0.972 thigh 0.878 0.028 0.842 0.878 0.86 0.925 upperarm 0.942 0.022 0.877 0.942 0.909 0.96 waist Weighted Avg. 0.903 0.016 0.904 0.903 0.903 0.944 === Confusion Matrix === a b c d e f g <-- classified as 372 11 25 2 3 33 38 | a = chest 2 425 3 3 0 8 18 | b = forearm 13 3 433 0 0 35 0 | c = head 1 2 0 468 13 0 2 | d = shin 3 0 1 12 461 4 4 | e = thigh 17 9 27 1 3 426 2 | f = upperarm 11 15 1 0 1 0 458 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3051 90.561 % Incorrectly Classified Instances 318 9.439 % Kappa statistic 0.8899 Mean absolute error 0.027 Root mean squared error 0.1642 Relative absolute error 11.0128 % Root relative squared error 46.9315 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.808 0.024 0.852 0.808 0.829 0.892 chest 0.904 0.013 0.914 0.904 0.909 0.945 forearm 0.887 0.018 0.89 0.887 0.888 0.934 head 0.971 0.003 0.979 0.971 0.975 0.984 shin 0.963 0.008 0.955 0.963 0.959 0.978 thigh 0.88 0.025 0.854 0.88 0.867 0.928 upperarm 0.926 0.018 0.895 0.926 0.91 0.954 waist Weighted Avg. 0.906 0.016 0.906 0.906 0.905 0.945 === Confusion Matrix === a b c d e f g <-- classified as 391 9 14 0 2 36 32 | a = chest 14 415 4 3 3 8 12 | b = forearm 16 6 430 0 3 27 3 | c = head 1 0 0 472 13 0 0 | d = shin 3 3 0 7 466 1 4 | e = thigh 17 5 33 0 1 427 2 | f = upperarm 17 16 2 0 0 1 450 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3054 90.65 % Incorrectly Classified Instances 315 9.35 % Kappa statistic 0.8909 Mean absolute error 0.0267 Root mean squared error 0.1634 Relative absolute error 10.9089 % Root relative squared error 46.7096 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.855 0.025 0.85 0.855 0.853 0.915 chest 0.948 0.018 0.893 0.948 0.92 0.965 forearm 0.901 0.02 0.881 0.901 0.891 0.94 head 0.932 0.003 0.981 0.932 0.956 0.964 shin 0.957 0.009 0.945 0.957 0.951 0.974 thigh 0.845 0.017 0.891 0.845 0.868 0.914 upperarm 0.909 0.016 0.908 0.909 0.909 0.947 waist Weighted Avg. 0.907 0.016 0.907 0.907 0.906 0.945 === Confusion Matrix === a b c d e f g <-- classified as 414 9 10 0 1 22 28 | a = chest 3 435 4 3 1 3 10 | b = forearm 17 5 437 0 1 24 1 | c = head 4 4 0 453 22 0 3 | d = shin 3 6 3 6 463 1 2 | e = thigh 29 4 40 0 1 410 1 | f = upperarm 17 24 2 0 1 0 442 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3058 90.7688 % Incorrectly Classified Instances 311 9.2312 % Kappa statistic 0.8923 Mean absolute error 0.0264 Root mean squared error 0.1624 Relative absolute error 10.7704 % Root relative squared error 46.4121 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.835 0.022 0.865 0.835 0.85 0.906 chest 0.911 0.011 0.927 0.911 0.919 0.95 forearm 0.893 0.016 0.902 0.893 0.897 0.938 head 0.951 0.004 0.977 0.951 0.964 0.973 shin 0.957 0.008 0.953 0.957 0.955 0.974 thigh 0.887 0.027 0.845 0.887 0.865 0.93 upperarm 0.922 0.019 0.891 0.922 0.906 0.951 waist Weighted Avg. 0.908 0.015 0.908 0.908 0.908 0.946 === Confusion Matrix === a b c d e f g <-- classified as 404 4 11 0 1 35 29 | a = chest 6 418 5 0 2 9 19 | b = forearm 14 10 433 0 0 28 0 | c = head 0 1 1 462 18 3 1 | d = shin 2 0 1 11 463 3 4 | e = thigh 21 5 26 0 1 430 2 | f = upperarm 20 13 3 0 1 1 448 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3047 90.4691 % Incorrectly Classified Instances 321 9.5309 % Kappa statistic 0.8888 Mean absolute error 0.0272 Root mean squared error 0.165 Relative absolute error 11.12 % Root relative squared error 47.1593 % Total Number of Instances 3368 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.835 0.026 0.845 0.835 0.84 0.905 chest 0.943 0.013 0.919 0.943 0.931 0.965 forearm 0.899 0.023 0.867 0.899 0.882 0.938 head 0.928 0.003 0.978 0.928 0.952 0.962 shin 0.955 0.009 0.945 0.955 0.95 0.973 thigh 0.858 0.024 0.86 0.858 0.859 0.917 upperarm 0.918 0.013 0.923 0.918 0.921 0.952 waist Weighted Avg. 0.905 0.016 0.905 0.905 0.905 0.944 === Confusion Matrix === a b c d e f g <-- classified as 404 9 20 0 2 31 18 | a = chest 5 433 5 0 2 4 10 | b = forearm 17 2 435 0 0 29 1 | c = head 4 3 1 451 23 1 3 | d = shin 3 2 2 9 462 1 5 | e = thigh 25 6 37 1 0 416 0 | f = upperarm 20 16 2 0 0 2 446 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3037 90.1722 % Incorrectly Classified Instances 331 9.8278 % Kappa statistic 0.8853 Mean absolute error 0.0281 Root mean squared error 0.1676 Relative absolute error 11.4664 % Root relative squared error 47.8883 % Total Number of Instances 3368 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.793 0.02 0.871 0.793 0.83 0.887 chest 0.919 0.014 0.913 0.919 0.916 0.953 forearm 0.901 0.026 0.852 0.901 0.876 0.937 head 0.967 0.006 0.967 0.967 0.967 0.981 shin 0.959 0.008 0.951 0.959 0.955 0.975 thigh 0.831 0.024 0.856 0.831 0.843 0.904 upperarm 0.942 0.017 0.902 0.942 0.922 0.963 waist Weighted Avg. 0.902 0.016 0.901 0.902 0.901 0.943 === Confusion Matrix === a b c d e f g <-- classified as 384 18 20 2 4 29 27 | a = chest 7 422 4 1 6 6 13 | b = forearm 14 3 436 0 1 30 0 | c = head 0 2 3 470 9 1 1 | d = shin 0 3 1 12 464 0 4 | e = thigh 23 4 47 0 3 403 5 | f = upperarm 13 10 1 1 1 2 458 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 9 FOLD: 0 Correctly Classified Instances 3046 90.4126 % Incorrectly Classified Instances 323 9.5874 % Kappa statistic 0.8881 Mean absolute error 0.0274 Root mean squared error 0.1655 Relative absolute error 11.186 % Root relative squared error 47.299 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.829 0.02 0.872 0.829 0.85 0.904 chest 0.926 0.016 0.902 0.926 0.914 0.955 forearm 0.893 0.021 0.878 0.893 0.885 0.936 head 0.949 0.004 0.975 0.949 0.961 0.972 shin 0.946 0.008 0.954 0.946 0.95 0.969 thigh 0.864 0.025 0.852 0.864 0.858 0.919 upperarm 0.924 0.018 0.898 0.924 0.911 0.953 waist Weighted Avg. 0.904 0.016 0.904 0.904 0.904 0.944 === Confusion Matrix === a b c d e f g <-- classified as 402 8 14 1 0 32 28 | a = chest 8 425 1 0 0 12 13 | b = forearm 16 8 433 0 2 25 1 | c = head 0 3 0 461 19 0 3 | d = shin 3 4 1 10 458 4 4 | e = thigh 21 2 41 0 0 419 2 | f = upperarm 11 21 3 1 1 0 448 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3058 90.7688 % Incorrectly Classified Instances 311 9.2312 % Kappa statistic 0.8923 Mean absolute error 0.0264 Root mean squared error 0.1624 Relative absolute error 10.7704 % Root relative squared error 46.412 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.81 0.026 0.838 0.81 0.824 0.892 chest 0.946 0.011 0.929 0.946 0.938 0.967 forearm 0.911 0.02 0.884 0.911 0.897 0.946 head 0.944 0.003 0.981 0.944 0.962 0.971 shin 0.971 0.012 0.933 0.971 0.951 0.98 thigh 0.856 0.02 0.879 0.856 0.867 0.918 upperarm 0.918 0.015 0.91 0.918 0.914 0.951 waist Weighted Avg. 0.908 0.015 0.908 0.908 0.907 0.946 === Confusion Matrix === a b c d e f g <-- classified as 392 9 22 0 6 28 27 | a = chest 4 435 6 1 2 1 11 | b = forearm 16 4 442 0 0 22 1 | c = head 2 3 1 459 19 1 1 | d = shin 0 1 0 8 470 3 2 | e = thigh 31 4 28 0 5 415 2 | f = upperarm 23 12 1 0 2 2 445 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3063 90.9172 % Incorrectly Classified Instances 306 9.0828 % Kappa statistic 0.894 Mean absolute error 0.026 Root mean squared error 0.1611 Relative absolute error 10.5972 % Root relative squared error 46.0375 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.802 0.02 0.872 0.802 0.835 0.891 chest 0.926 0.015 0.904 0.926 0.915 0.955 forearm 0.917 0.023 0.871 0.917 0.893 0.947 head 0.953 0.002 0.987 0.953 0.97 0.975 shin 0.971 0.007 0.957 0.971 0.964 0.982 thigh 0.879 0.019 0.888 0.879 0.883 0.93 upperarm 0.918 0.02 0.886 0.918 0.902 0.949 waist Weighted Avg. 0.909 0.015 0.909 0.909 0.909 0.947 === Confusion Matrix === a b c d e f g <-- classified as 388 11 23 0 4 25 33 | a = chest 8 425 3 2 3 4 14 | b = forearm 16 2 444 0 0 20 2 | c = head 3 1 1 464 14 2 2 | d = shin 2 0 3 4 470 1 4 | e = thigh 13 10 34 0 0 427 2 | f = upperarm 15 21 2 0 0 2 445 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3024 89.7596 % Incorrectly Classified Instances 345 10.2404 % Kappa statistic 0.8805 Mean absolute error 0.0293 Root mean squared error 0.1711 Relative absolute error 11.9479 % Root relative squared error 48.8833 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.812 0.029 0.826 0.812 0.819 0.892 chest 0.915 0.016 0.901 0.915 0.908 0.95 forearm 0.88 0.02 0.882 0.88 0.881 0.93 head 0.955 0.004 0.975 0.955 0.965 0.975 shin 0.95 0.007 0.958 0.95 0.954 0.972 thigh 0.841 0.026 0.845 0.841 0.843 0.908 upperarm 0.93 0.018 0.897 0.93 0.913 0.956 waist Weighted Avg. 0.898 0.017 0.898 0.898 0.898 0.94 === Confusion Matrix === a b c d e f g <-- classified as 393 16 10 0 1 35 29 | a = chest 8 420 5 2 3 8 13 | b = forearm 18 5 426 0 2 32 1 | c = head 3 5 1 465 11 0 2 | d = shin 5 3 1 10 460 0 5 | e = thigh 30 3 39 0 3 408 2 | f = upperarm 19 14 1 0 0 0 452 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3032 89.997 % Incorrectly Classified Instances 337 10.003 % Kappa statistic 0.8833 Mean absolute error 0.0286 Root mean squared error 0.1691 Relative absolute error 11.6708 % Root relative squared error 48.3132 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.81 0.022 0.862 0.81 0.835 0.894 chest 0.926 0.014 0.912 0.926 0.919 0.956 forearm 0.897 0.028 0.843 0.897 0.869 0.934 head 0.957 0.004 0.975 0.957 0.966 0.976 shin 0.953 0.007 0.959 0.953 0.956 0.973 thigh 0.841 0.023 0.861 0.841 0.851 0.909 upperarm 0.918 0.019 0.892 0.918 0.905 0.949 waist Weighted Avg. 0.9 0.017 0.9 0.9 0.9 0.942 === Confusion Matrix === a b c d e f g <-- classified as 392 7 22 0 2 33 28 | a = chest 7 425 5 0 2 7 13 | b = forearm 18 7 434 0 0 23 2 | c = head 0 1 3 465 13 1 3 | d = shin 1 2 2 12 462 2 4 | e = thigh 21 5 46 0 1 408 4 | f = upperarm 16 19 3 0 2 0 446 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3020 89.6408 % Incorrectly Classified Instances 349 10.3592 % Kappa statistic 0.8791 Mean absolute error 0.0296 Root mean squared error 0.172 Relative absolute error 12.0864 % Root relative squared error 49.1659 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.826 0.021 0.866 0.826 0.846 0.902 chest 0.895 0.015 0.905 0.895 0.9 0.94 forearm 0.915 0.021 0.881 0.915 0.898 0.947 head 0.936 0.006 0.964 0.936 0.95 0.965 shin 0.94 0.01 0.938 0.94 0.939 0.965 thigh 0.843 0.026 0.845 0.843 0.844 0.909 upperarm 0.918 0.022 0.878 0.918 0.897 0.948 waist Weighted Avg. 0.896 0.017 0.897 0.896 0.896 0.94 === Confusion Matrix === a b c d e f g <-- classified as 400 6 14 2 1 40 21 | a = chest 9 411 2 2 5 5 25 | b = forearm 10 2 443 0 0 28 1 | c = head 2 2 1 455 19 1 6 | d = shin 5 3 1 13 456 1 6 | e = thigh 25 6 40 0 2 409 3 | f = upperarm 11 24 2 0 3 0 446 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3039 90.2048 % Incorrectly Classified Instances 330 9.7952 % Kappa statistic 0.8857 Mean absolute error 0.028 Root mean squared error 0.1673 Relative absolute error 11.4284 % Root relative squared error 47.8088 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.849 0.031 0.824 0.849 0.836 0.909 chest 0.913 0.019 0.882 0.913 0.897 0.947 forearm 0.884 0.017 0.899 0.884 0.892 0.934 head 0.942 0.004 0.974 0.942 0.958 0.969 shin 0.944 0.008 0.952 0.944 0.948 0.968 thigh 0.864 0.021 0.875 0.864 0.869 0.922 upperarm 0.918 0.015 0.912 0.918 0.915 0.951 waist Weighted Avg. 0.902 0.016 0.903 0.902 0.902 0.943 === Confusion Matrix === a b c d e f g <-- classified as 411 10 11 0 2 26 24 | a = chest 13 419 3 2 2 7 13 | b = forearm 25 6 428 0 0 24 1 | c = head 2 7 0 458 18 0 1 | d = shin 1 7 3 10 458 3 3 | e = thigh 27 7 31 0 0 419 1 | f = upperarm 20 19 0 0 1 0 446 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3070 91.125 % Incorrectly Classified Instances 299 8.875 % Kappa statistic 0.8965 Mean absolute error 0.0254 Root mean squared error 0.1592 Relative absolute error 10.3548 % Root relative squared error 45.5079 % Total Number of Instances 3369 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.829 0.025 0.846 0.829 0.837 0.902 chest 0.919 0.013 0.917 0.919 0.918 0.953 forearm 0.893 0.018 0.891 0.893 0.892 0.937 head 0.965 0.005 0.973 0.965 0.969 0.98 shin 0.951 0.005 0.973 0.951 0.961 0.973 thigh 0.876 0.024 0.862 0.876 0.869 0.926 upperarm 0.947 0.014 0.918 0.947 0.932 0.966 waist Weighted Avg. 0.911 0.015 0.911 0.911 0.911 0.948 === Confusion Matrix === a b c d e f g <-- classified as 401 13 19 1 0 30 20 | a = chest 13 422 2 1 2 8 11 | b = forearm 18 3 432 0 0 29 2 | c = head 1 1 2 469 11 0 2 | d = shin 6 1 1 11 461 1 4 | e = thigh 22 9 27 0 0 425 2 | f = upperarm 13 11 2 0 0 0 460 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3045 90.4097 % Incorrectly Classified Instances 323 9.5903 % Kappa statistic 0.8881 Mean absolute error 0.0274 Root mean squared error 0.1655 Relative absolute error 11.1893 % Root relative squared error 47.306 % Total Number of Instances 3368 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.804 0.022 0.861 0.804 0.831 0.891 chest 0.924 0.009 0.944 0.924 0.934 0.958 forearm 0.888 0.021 0.874 0.888 0.881 0.933 head 0.944 0.003 0.983 0.944 0.963 0.971 shin 0.965 0.01 0.942 0.965 0.953 0.977 thigh 0.866 0.028 0.84 0.866 0.853 0.919 upperarm 0.938 0.019 0.891 0.938 0.914 0.959 waist Weighted Avg. 0.904 0.016 0.905 0.904 0.904 0.944 === Confusion Matrix === a b c d e f g <-- classified as 389 7 16 0 4 34 34 | a = chest 7 424 1 1 4 8 14 | b = forearm 14 6 430 0 0 34 0 | c = head 2 1 1 459 19 0 4 | d = shin 1 0 3 7 467 3 3 | e = thigh 19 3 40 0 2 420 1 | f = upperarm 20 8 1 0 0 1 456 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3041 90.291 % Incorrectly Classified Instances 327 9.709 % Kappa statistic 0.8867 Mean absolute error 0.0277 Root mean squared error 0.1666 Relative absolute error 11.3279 % Root relative squared error 47.598 % Total Number of Instances 3368 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.802 0.025 0.845 0.802 0.823 0.889 chest 0.915 0.013 0.919 0.915 0.917 0.951 forearm 0.907 0.022 0.873 0.907 0.89 0.943 head 0.957 0.003 0.983 0.957 0.97 0.977 shin 0.969 0.008 0.953 0.969 0.961 0.981 thigh 0.868 0.024 0.861 0.868 0.864 0.922 upperarm 0.903 0.019 0.887 0.903 0.895 0.942 waist Weighted Avg. 0.903 0.016 0.903 0.903 0.903 0.943 === Confusion Matrix === a b c d e f g <-- classified as 388 9 20 0 5 33 29 | a = chest 9 420 5 2 0 6 17 | b = forearm 12 7 440 0 0 25 1 | c = head 0 1 0 465 15 1 4 | d = shin 3 0 1 6 469 1 4 | e = thigh 22 3 36 0 2 421 1 | f = upperarm 25 17 2 0 1 2 438 | g = waist ------------------------------------------------------------------------------------------------------ SUBJECT: 2 RUN: 0 FOLD: 0 Correctly Classified Instances 2735 91.7477 % Incorrectly Classified Instances 246 8.2523 % Kappa statistic 0.9035 Mean absolute error 0.0236 Root mean squared error 0.1536 Relative absolute error 9.6543 % Root relative squared error 43.9412 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.929 0.018 0.9 0.929 0.914 0.955 chest 0.904 0.01 0.91 0.904 0.907 0.947 forearm 0.864 0.024 0.866 0.864 0.865 0.92 head 0.975 0.002 0.989 0.975 0.982 0.987 shin 0.978 0.002 0.989 0.978 0.983 0.988 thigh 0.815 0.029 0.834 0.815 0.824 0.893 upperarm 0.953 0.012 0.932 0.953 0.943 0.97 waist Weighted Avg. 0.917 0.014 0.917 0.917 0.917 0.952 === Confusion Matrix === a b c d e f g <-- classified as 416 0 10 0 1 18 3 | a = chest 0 264 1 0 0 7 20 | b = forearm 17 4 387 0 0 38 2 | c = head 0 1 1 437 3 2 4 | d = shin 2 0 0 2 438 5 1 | e = thigh 27 7 47 1 0 366 1 | f = upperarm 0 14 1 2 1 3 427 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2749 92.2174 % Incorrectly Classified Instances 232 7.7826 % Kappa statistic 0.9089 Mean absolute error 0.0222 Root mean squared error 0.1491 Relative absolute error 9.1051 % Root relative squared error 42.6734 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.922 0.017 0.906 0.922 0.914 0.953 chest 0.883 0.009 0.911 0.883 0.897 0.937 forearm 0.88 0.024 0.868 0.88 0.874 0.928 head 0.984 0.001 0.993 0.984 0.989 0.992 shin 0.984 0.001 0.993 0.984 0.989 0.992 thigh 0.831 0.027 0.846 0.831 0.838 0.902 upperarm 0.957 0.012 0.934 0.957 0.946 0.973 waist Weighted Avg. 0.922 0.013 0.922 0.922 0.922 0.954 === Confusion Matrix === a b c d e f g <-- classified as 414 0 13 0 0 21 1 | a = chest 1 257 4 1 0 9 19 | b = forearm 13 6 395 0 0 35 0 | c = head 2 0 1 440 2 0 2 | d = shin 1 1 0 2 442 1 2 | e = thigh 25 4 41 0 0 373 6 | f = upperarm 1 14 1 0 1 2 428 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2741 91.949 % Incorrectly Classified Instances 240 8.051 % Kappa statistic 0.9058 Mean absolute error 0.023 Root mean squared error 0.1517 Relative absolute error 9.419 % Root relative squared error 43.4029 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.927 0.016 0.912 0.927 0.919 0.955 chest 0.907 0.009 0.917 0.907 0.912 0.949 forearm 0.86 0.024 0.864 0.86 0.862 0.918 head 0.962 0 0.998 0.962 0.979 0.981 shin 0.978 0.003 0.982 0.978 0.98 0.987 thigh 0.833 0.029 0.835 0.833 0.834 0.902 upperarm 0.966 0.013 0.931 0.966 0.948 0.977 waist Weighted Avg. 0.919 0.014 0.92 0.919 0.92 0.953 === Confusion Matrix === a b c d e f g <-- classified as 416 1 10 0 1 19 2 | a = chest 0 264 2 0 1 9 15 | b = forearm 15 4 386 0 0 41 3 | c = head 2 1 2 430 6 1 5 | d = shin 1 1 0 1 439 3 4 | e = thigh 20 5 47 0 0 374 3 | f = upperarm 2 12 0 0 0 1 432 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2759 92.5528 % Incorrectly Classified Instances 222 7.4472 % Kappa statistic 0.9129 Mean absolute error 0.0213 Root mean squared error 0.1459 Relative absolute error 8.7126 % Root relative squared error 41.7436 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.915 0.014 0.919 0.915 0.917 0.951 chest 0.931 0.013 0.886 0.931 0.908 0.959 forearm 0.873 0.021 0.881 0.873 0.877 0.926 head 0.98 0.002 0.991 0.98 0.985 0.989 shin 0.973 0.002 0.986 0.973 0.98 0.985 thigh 0.853 0.024 0.861 0.853 0.857 0.914 upperarm 0.955 0.01 0.943 0.955 0.949 0.973 waist Weighted Avg. 0.926 0.012 0.926 0.926 0.926 0.957 === Confusion Matrix === a b c d e f g <-- classified as 411 1 14 0 3 18 2 | a = chest 0 271 0 0 1 3 16 | b = forearm 8 10 391 0 0 39 0 | c = head 1 2 1 439 1 0 4 | d = shin 3 0 2 3 436 1 3 | e = thigh 22 7 36 0 0 383 1 | f = upperarm 2 15 0 1 1 1 428 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2754 92.3851 % Incorrectly Classified Instances 227 7.6149 % Kappa statistic 0.9109 Mean absolute error 0.0218 Root mean squared error 0.1475 Relative absolute error 8.9088 % Root relative squared error 42.211 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.911 0.015 0.915 0.911 0.913 0.948 chest 0.924 0.012 0.897 0.924 0.91 0.956 forearm 0.873 0.021 0.879 0.873 0.876 0.926 head 0.969 0.001 0.993 0.969 0.981 0.984 shin 0.984 0.003 0.982 0.984 0.983 0.991 thigh 0.86 0.028 0.845 0.86 0.852 0.916 upperarm 0.946 0.009 0.951 0.946 0.949 0.969 waist Weighted Avg. 0.924 0.013 0.924 0.924 0.924 0.956 === Confusion Matrix === a b c d e f g <-- classified as 409 0 15 0 1 23 1 | a = chest 0 269 3 0 1 4 14 | b = forearm 13 2 391 0 0 42 0 | c = head 1 4 2 434 4 0 3 | d = shin 3 1 0 2 441 0 1 | e = thigh 20 5 34 0 1 386 3 | f = upperarm 1 19 0 1 1 2 424 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2772 92.9889 % Incorrectly Classified Instances 209 7.0111 % Kappa statistic 0.918 Mean absolute error 0.02 Root mean squared error 0.1415 Relative absolute error 8.2024 % Root relative squared error 40.5029 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.931 0.018 0.901 0.931 0.916 0.956 chest 0.907 0.01 0.907 0.907 0.907 0.949 forearm 0.891 0.015 0.911 0.891 0.901 0.938 head 0.969 0.002 0.991 0.969 0.98 0.984 shin 0.978 0.002 0.989 0.978 0.983 0.988 thigh 0.871 0.025 0.859 0.871 0.865 0.923 upperarm 0.955 0.009 0.947 0.955 0.951 0.973 waist Weighted Avg. 0.93 0.012 0.93 0.93 0.93 0.959 === Confusion Matrix === a b c d e f g <-- classified as 418 0 7 0 0 23 1 | a = chest 1 264 2 0 0 9 15 | b = forearm 16 3 399 0 0 30 0 | c = head 2 0 3 434 5 2 2 | d = shin 4 0 0 3 438 0 3 | e = thigh 22 6 26 1 0 391 3 | f = upperarm 1 18 1 0 0 0 428 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2741 91.949 % Incorrectly Classified Instances 240 8.051 % Kappa statistic 0.9058 Mean absolute error 0.023 Root mean squared error 0.1517 Relative absolute error 9.419 % Root relative squared error 43.4029 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.922 0.016 0.91 0.922 0.916 0.953 chest 0.904 0.01 0.904 0.904 0.904 0.947 forearm 0.848 0.021 0.878 0.848 0.863 0.914 head 0.967 0 0.998 0.967 0.982 0.983 shin 0.993 0.004 0.978 0.993 0.986 0.995 thigh 0.84 0.034 0.816 0.84 0.828 0.903 upperarm 0.958 0.009 0.951 0.958 0.954 0.974 waist Weighted Avg. 0.919 0.014 0.92 0.919 0.92 0.953 === Confusion Matrix === a b c d e f g <-- classified as 414 0 7 0 4 24 0 | a = chest 1 263 0 0 0 11 16 | b = forearm 15 5 380 0 0 46 2 | c = head 1 2 2 433 5 1 4 | d = shin 2 0 0 0 445 1 0 | e = thigh 22 6 43 1 0 377 0 | f = upperarm 0 15 1 0 1 2 429 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2744 92.0496 % Incorrectly Classified Instances 237 7.9504 % Kappa statistic 0.907 Mean absolute error 0.0227 Root mean squared error 0.1507 Relative absolute error 9.3013 % Root relative squared error 43.1308 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.913 0.013 0.928 0.913 0.92 0.95 chest 0.887 0.012 0.89 0.887 0.888 0.937 forearm 0.882 0.023 0.872 0.882 0.877 0.929 head 0.987 0.002 0.987 0.987 0.987 0.992 shin 0.982 0.003 0.982 0.982 0.982 0.989 thigh 0.826 0.027 0.843 0.826 0.835 0.9 upperarm 0.955 0.013 0.93 0.955 0.943 0.971 waist Weighted Avg. 0.92 0.013 0.92 0.92 0.92 0.954 === Confusion Matrix === a b c d e f g <-- classified as 410 0 8 0 4 27 0 | a = chest 0 258 1 1 1 4 26 | b = forearm 9 10 395 0 0 33 1 | c = head 1 0 1 442 1 1 2 | d = shin 1 0 0 2 440 3 2 | e = thigh 21 6 48 2 0 371 1 | f = upperarm 0 16 0 1 2 1 428 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2756 92.4522 % Incorrectly Classified Instances 225 7.5478 % Kappa statistic 0.9117 Mean absolute error 0.0216 Root mean squared error 0.1469 Relative absolute error 8.8303 % Root relative squared error 42.0247 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.933 0.014 0.921 0.933 0.927 0.959 chest 0.918 0.013 0.887 0.918 0.902 0.952 forearm 0.895 0.028 0.851 0.895 0.873 0.934 head 0.971 0.001 0.993 0.971 0.982 0.985 shin 0.991 0 0.998 0.991 0.994 0.995 thigh 0.829 0.024 0.859 0.829 0.844 0.902 upperarm 0.933 0.008 0.954 0.933 0.944 0.963 waist Weighted Avg. 0.925 0.013 0.925 0.925 0.925 0.956 === Confusion Matrix === a b c d e f g <-- classified as 419 0 13 0 1 16 0 | a = chest 1 267 6 1 0 5 11 | b = forearm 9 2 401 0 0 35 1 | c = head 0 2 1 435 0 3 7 | d = shin 1 0 0 2 444 1 0 | e = thigh 23 9 44 0 0 372 1 | f = upperarm 2 21 6 0 0 1 418 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2737 91.8456 % Incorrectly Classified Instances 243 8.1544 % Kappa statistic 0.9046 Mean absolute error 0.0233 Root mean squared error 0.1526 Relative absolute error 9.54 % Root relative squared error 43.6806 % Total Number of Instances 2980 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.879 0.011 0.934 0.879 0.906 0.934 chest 0.876 0.011 0.895 0.876 0.885 0.933 forearm 0.877 0.024 0.864 0.877 0.87 0.926 head 0.982 0.002 0.987 0.982 0.984 0.99 shin 0.987 0.003 0.984 0.987 0.986 0.992 thigh 0.857 0.032 0.828 0.857 0.842 0.913 upperarm 0.955 0.012 0.934 0.955 0.945 0.972 waist Weighted Avg. 0.918 0.014 0.919 0.918 0.919 0.952 === Confusion Matrix === a b c d e f g <-- classified as 394 0 15 2 1 34 2 | a = chest 0 255 3 0 0 9 24 | b = forearm 12 8 393 0 1 34 0 | c = head 0 0 0 440 4 0 4 | d = shin 1 0 0 3 442 2 0 | e = thigh 15 5 44 0 0 385 0 | f = upperarm 0 17 0 1 1 1 428 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 1 FOLD: 0 Correctly Classified Instances 2769 92.8883 % Incorrectly Classified Instances 212 7.1117 % Kappa statistic 0.9168 Mean absolute error 0.0203 Root mean squared error 0.1425 Relative absolute error 8.32 % Root relative squared error 40.7917 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.944 0.018 0.902 0.944 0.923 0.963 chest 0.887 0.007 0.928 0.887 0.907 0.94 forearm 0.871 0.017 0.899 0.871 0.884 0.927 head 0.975 0.001 0.993 0.975 0.984 0.987 shin 0.991 0.002 0.989 0.991 0.99 0.995 thigh 0.857 0.026 0.854 0.857 0.856 0.916 upperarm 0.962 0.011 0.939 0.962 0.95 0.975 waist Weighted Avg. 0.929 0.012 0.929 0.929 0.929 0.958 === Confusion Matrix === a b c d e f g <-- classified as 423 0 8 0 0 16 1 | a = chest 0 259 3 0 0 9 21 | b = forearm 12 5 390 0 1 39 1 | c = head 2 1 1 437 4 1 2 | d = shin 1 0 0 2 445 1 0 | e = thigh 26 4 30 1 0 385 3 | f = upperarm 5 10 2 0 0 0 430 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2764 92.7206 % Incorrectly Classified Instances 217 7.2794 % Kappa statistic 0.9149 Mean absolute error 0.0208 Root mean squared error 0.1442 Relative absolute error 8.5164 % Root relative squared error 41.2708 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.927 0.015 0.916 0.927 0.921 0.956 chest 0.921 0.012 0.893 0.921 0.907 0.955 forearm 0.895 0.018 0.897 0.895 0.896 0.938 head 0.984 0.002 0.991 0.984 0.988 0.991 shin 0.973 0.002 0.986 0.973 0.98 0.985 thigh 0.855 0.025 0.857 0.855 0.856 0.915 upperarm 0.933 0.011 0.939 0.933 0.936 0.961 waist Weighted Avg. 0.927 0.012 0.927 0.927 0.927 0.958 === Confusion Matrix === a b c d e f g <-- classified as 416 0 7 0 3 23 0 | a = chest 1 268 2 0 0 6 14 | b = forearm 14 0 401 0 0 32 1 | c = head 0 0 1 441 1 0 5 | d = shin 3 0 1 3 436 2 3 | e = thigh 19 7 33 1 1 384 4 | f = upperarm 1 25 2 0 1 1 418 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2756 92.4522 % Incorrectly Classified Instances 225 7.5478 % Kappa statistic 0.9117 Mean absolute error 0.0216 Root mean squared error 0.1469 Relative absolute error 8.8303 % Root relative squared error 42.0247 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.909 0.015 0.917 0.909 0.913 0.947 chest 0.897 0.009 0.919 0.897 0.908 0.944 forearm 0.879 0.023 0.872 0.879 0.876 0.928 head 0.987 0.002 0.987 0.987 0.987 0.992 shin 0.987 0.003 0.984 0.987 0.986 0.992 thigh 0.84 0.028 0.842 0.84 0.841 0.906 upperarm 0.964 0.009 0.949 0.964 0.957 0.978 waist Weighted Avg. 0.925 0.013 0.924 0.925 0.924 0.956 === Confusion Matrix === a b c d e f g <-- classified as 408 0 12 0 3 25 1 | a = chest 1 261 2 2 0 6 19 | b = forearm 11 5 394 0 0 36 2 | c = head 0 0 1 442 3 1 1 | d = shin 0 2 0 3 442 1 0 | e = thigh 24 7 41 0 0 377 0 | f = upperarm 1 9 2 1 1 2 432 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2736 91.7813 % Incorrectly Classified Instances 245 8.2187 % Kappa statistic 0.9038 Mean absolute error 0.0235 Root mean squared error 0.1532 Relative absolute error 9.6153 % Root relative squared error 43.8527 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.906 0.013 0.925 0.906 0.916 0.947 chest 0.9 0.01 0.903 0.9 0.902 0.945 forearm 0.855 0.03 0.833 0.855 0.844 0.912 head 0.982 0.002 0.989 0.982 0.985 0.99 shin 0.987 0.002 0.991 0.987 0.989 0.993 thigh 0.829 0.03 0.829 0.829 0.829 0.899 upperarm 0.96 0.008 0.953 0.96 0.957 0.976 waist Weighted Avg. 0.918 0.014 0.918 0.918 0.918 0.952 === Confusion Matrix === a b c d e f g <-- classified as 407 0 17 0 3 22 0 | a = chest 0 262 5 0 0 9 15 | b = forearm 15 6 383 0 0 43 1 | c = head 1 0 3 440 1 1 2 | d = shin 0 1 0 3 442 1 1 | e = thigh 16 6 52 1 0 372 2 | f = upperarm 1 15 0 1 0 1 430 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2750 92.2509 % Incorrectly Classified Instances 231 7.7491 % Kappa statistic 0.9094 Mean absolute error 0.0221 Root mean squared error 0.1488 Relative absolute error 9.0658 % Root relative squared error 42.5813 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.924 0.015 0.916 0.924 0.92 0.955 chest 0.911 0.013 0.886 0.911 0.898 0.949 forearm 0.893 0.024 0.868 0.893 0.88 0.934 head 0.971 0.001 0.993 0.971 0.982 0.985 shin 0.975 0.002 0.989 0.975 0.982 0.987 thigh 0.831 0.024 0.859 0.831 0.845 0.903 upperarm 0.949 0.011 0.936 0.949 0.942 0.969 waist Weighted Avg. 0.923 0.013 0.923 0.923 0.923 0.955 === Confusion Matrix === a b c d e f g <-- classified as 415 0 11 0 1 22 0 | a = chest 1 265 2 0 0 5 18 | b = forearm 10 9 400 0 0 28 1 | c = head 1 1 0 435 3 2 6 | d = shin 5 0 0 3 437 2 1 | e = thigh 21 5 47 0 0 373 3 | f = upperarm 0 19 1 0 1 2 425 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2732 91.6471 % Incorrectly Classified Instances 249 8.3529 % Kappa statistic 0.9023 Mean absolute error 0.0239 Root mean squared error 0.1545 Relative absolute error 9.7722 % Root relative squared error 44.2092 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.918 0.02 0.89 0.918 0.904 0.949 chest 0.914 0.01 0.908 0.914 0.911 0.952 forearm 0.85 0.023 0.87 0.85 0.86 0.914 head 0.953 0.001 0.995 0.953 0.974 0.976 shin 0.984 0.004 0.976 0.984 0.98 0.99 thigh 0.837 0.031 0.828 0.837 0.833 0.903 upperarm 0.958 0.009 0.949 0.958 0.953 0.974 waist Weighted Avg. 0.916 0.014 0.917 0.916 0.917 0.951 === Confusion Matrix === a b c d e f g <-- classified as 412 0 11 0 3 22 1 | a = chest 0 266 2 1 0 8 14 | b = forearm 21 6 381 0 0 40 0 | c = head 3 0 2 427 7 4 5 | d = shin 2 0 0 1 441 3 1 | e = thigh 24 6 41 0 0 376 2 | f = upperarm 1 15 1 0 1 1 429 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2747 92.1503 % Incorrectly Classified Instances 234 7.8497 % Kappa statistic 0.9082 Mean absolute error 0.0224 Root mean squared error 0.1498 Relative absolute error 9.1836 % Root relative squared error 42.8569 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.927 0.016 0.912 0.927 0.919 0.955 chest 0.897 0.013 0.885 0.897 0.891 0.942 forearm 0.884 0.02 0.886 0.884 0.885 0.932 head 0.973 0.002 0.986 0.973 0.98 0.985 shin 0.982 0.003 0.984 0.982 0.983 0.99 thigh 0.84 0.027 0.845 0.84 0.842 0.906 upperarm 0.94 0.011 0.94 0.94 0.94 0.965 waist Weighted Avg. 0.922 0.013 0.922 0.922 0.922 0.954 === Confusion Matrix === a b c d e f g <-- classified as 416 1 10 0 0 22 0 | a = chest 0 261 3 1 0 6 20 | b = forearm 12 3 396 0 0 37 0 | c = head 1 0 1 436 4 2 4 | d = shin 1 0 1 3 440 0 3 | e = thigh 23 10 36 2 1 377 0 | f = upperarm 3 20 0 0 2 2 421 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2752 92.318 % Incorrectly Classified Instances 229 7.682 % Kappa statistic 0.9101 Mean absolute error 0.0219 Root mean squared error 0.1482 Relative absolute error 8.9873 % Root relative squared error 42.3966 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.92 0.017 0.904 0.92 0.912 0.951 chest 0.907 0.009 0.913 0.907 0.91 0.949 forearm 0.882 0.022 0.878 0.882 0.88 0.93 head 0.969 0.002 0.989 0.969 0.979 0.983 shin 0.982 0.004 0.976 0.982 0.979 0.989 thigh 0.835 0.023 0.864 0.835 0.849 0.906 upperarm 0.962 0.012 0.935 0.962 0.948 0.975 waist Weighted Avg. 0.923 0.013 0.923 0.923 0.923 0.955 === Confusion Matrix === a b c d e f g <-- classified as 413 0 11 1 1 21 2 | a = chest 1 264 3 0 0 4 19 | b = forearm 12 6 396 0 1 34 0 | c = head 2 3 0 433 6 0 3 | d = shin 2 0 0 3 440 0 3 | e = thigh 26 4 41 0 0 375 3 | f = upperarm 1 12 0 1 3 0 431 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2744 92.0496 % Incorrectly Classified Instances 237 7.9504 % Kappa statistic 0.907 Mean absolute error 0.0227 Root mean squared error 0.1507 Relative absolute error 9.3013 % Root relative squared error 43.1308 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.906 0.015 0.917 0.906 0.912 0.946 chest 0.914 0.011 0.902 0.914 0.908 0.952 forearm 0.866 0.025 0.859 0.866 0.863 0.921 head 0.98 0.002 0.991 0.98 0.985 0.989 shin 0.987 0.001 0.993 0.987 0.99 0.993 thigh 0.835 0.03 0.833 0.835 0.834 0.903 upperarm 0.953 0.01 0.945 0.953 0.949 0.972 waist Weighted Avg. 0.92 0.013 0.921 0.92 0.921 0.954 === Confusion Matrix === a b c d e f g <-- classified as 407 1 17 1 0 21 2 | a = chest 0 266 0 0 1 7 17 | b = forearm 11 5 389 0 0 44 0 | c = head 1 1 1 438 2 0 4 | d = shin 2 0 1 1 442 2 0 | e = thigh 23 3 44 2 0 375 2 | f = upperarm 0 19 1 0 0 1 427 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2734 91.745 % Incorrectly Classified Instances 246 8.255 % Kappa statistic 0.9034 Mean absolute error 0.0236 Root mean squared error 0.1536 Relative absolute error 9.6577 % Root relative squared error 43.9494 % Total Number of Instances 2980 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.904 0.02 0.89 0.904 0.897 0.942 chest 0.89 0.01 0.902 0.89 0.896 0.94 forearm 0.859 0.024 0.865 0.859 0.862 0.918 head 0.989 0 0.998 0.989 0.993 0.994 shin 0.984 0.002 0.989 0.984 0.987 0.991 thigh 0.824 0.03 0.831 0.824 0.828 0.897 upperarm 0.962 0.011 0.941 0.962 0.951 0.976 waist Weighted Avg. 0.917 0.014 0.917 0.917 0.917 0.952 === Confusion Matrix === a b c d e f g <-- classified as 405 0 14 0 3 24 2 | a = chest 1 259 1 0 1 8 21 | b = forearm 14 9 385 0 0 40 0 | c = head 0 0 1 443 1 0 3 | d = shin 5 0 0 0 442 2 0 | e = thigh 28 6 44 0 0 370 1 | f = upperarm 2 13 0 1 0 1 430 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 2 FOLD: 0 Correctly Classified Instances 2759 92.5528 % Incorrectly Classified Instances 222 7.4472 % Kappa statistic 0.9129 Mean absolute error 0.0213 Root mean squared error 0.1459 Relative absolute error 8.7126 % Root relative squared error 41.7436 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.929 0.013 0.927 0.929 0.928 0.958 chest 0.883 0.009 0.911 0.883 0.897 0.937 forearm 0.893 0.024 0.868 0.893 0.88 0.935 head 0.967 0 0.998 0.967 0.982 0.983 shin 0.984 0.004 0.98 0.984 0.982 0.99 thigh 0.846 0.025 0.858 0.846 0.852 0.911 upperarm 0.962 0.012 0.935 0.962 0.948 0.975 waist Weighted Avg. 0.926 0.013 0.926 0.926 0.926 0.956 === Confusion Matrix === a b c d e f g <-- classified as 417 1 14 0 2 15 0 | a = chest 0 257 2 0 1 8 23 | b = forearm 10 3 401 0 0 34 1 | c = head 1 1 1 433 5 3 4 | d = shin 3 0 0 1 441 2 1 | e = thigh 16 7 44 0 1 380 1 | f = upperarm 3 13 0 0 0 1 430 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2750 92.2509 % Incorrectly Classified Instances 231 7.7491 % Kappa statistic 0.9093 Mean absolute error 0.0221 Root mean squared error 0.1488 Relative absolute error 9.0658 % Root relative squared error 42.5813 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.92 0.015 0.916 0.92 0.918 0.952 chest 0.918 0.007 0.934 0.918 0.925 0.955 forearm 0.855 0.023 0.867 0.855 0.861 0.916 head 0.973 0.002 0.989 0.973 0.981 0.986 shin 0.982 0.004 0.98 0.982 0.981 0.989 thigh 0.842 0.033 0.82 0.842 0.831 0.905 upperarm 0.967 0.007 0.96 0.967 0.963 0.98 waist Weighted Avg. 0.923 0.013 0.923 0.923 0.923 0.955 === Confusion Matrix === a b c d e f g <-- classified as 413 0 8 1 0 27 0 | a = chest 1 267 2 0 1 6 14 | b = forearm 13 4 383 0 0 48 0 | c = head 1 0 1 436 7 1 2 | d = shin 1 0 2 4 440 1 0 | e = thigh 20 4 45 0 0 378 2 | f = upperarm 2 11 1 0 1 0 433 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2762 92.6535 % Incorrectly Classified Instances 219 7.3465 % Kappa statistic 0.914 Mean absolute error 0.021 Root mean squared error 0.1449 Relative absolute error 8.5949 % Root relative squared error 41.4606 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.922 0.018 0.9 0.922 0.911 0.952 chest 0.887 0.01 0.908 0.887 0.897 0.938 forearm 0.888 0.018 0.896 0.888 0.892 0.935 head 0.987 0.002 0.989 0.987 0.988 0.992 shin 0.987 0.001 0.993 0.987 0.99 0.993 thigh 0.844 0.024 0.859 0.844 0.852 0.91 upperarm 0.958 0.012 0.933 0.958 0.945 0.973 waist Weighted Avg. 0.927 0.012 0.926 0.927 0.926 0.957 === Confusion Matrix === a b c d e f g <-- classified as 414 0 9 0 1 25 0 | a = chest 0 258 2 1 0 7 23 | b = forearm 18 4 398 0 0 26 2 | c = head 1 0 1 442 1 2 1 | d = shin 1 0 0 1 442 2 2 | e = thigh 26 6 34 1 0 379 3 | f = upperarm 0 16 0 2 1 0 429 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2750 92.2509 % Incorrectly Classified Instances 231 7.7491 % Kappa statistic 0.9093 Mean absolute error 0.0221 Root mean squared error 0.1488 Relative absolute error 9.0658 % Root relative squared error 42.5813 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.931 0.014 0.923 0.931 0.927 0.959 chest 0.89 0.01 0.906 0.89 0.898 0.94 forearm 0.868 0.023 0.868 0.868 0.868 0.923 head 0.982 0.003 0.984 0.982 0.983 0.99 shin 0.973 0.003 0.984 0.973 0.979 0.985 thigh 0.844 0.028 0.842 0.844 0.843 0.908 upperarm 0.958 0.01 0.945 0.958 0.951 0.974 waist Weighted Avg. 0.923 0.013 0.923 0.923 0.923 0.955 === Confusion Matrix === a b c d e f g <-- classified as 418 1 9 1 1 19 0 | a = chest 1 259 5 0 2 7 17 | b = forearm 16 3 389 0 0 40 0 | c = head 0 1 0 440 3 1 3 | d = shin 3 0 0 5 436 2 2 | e = thigh 15 5 45 1 1 379 3 | f = upperarm 0 17 0 0 0 2 429 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2761 92.6199 % Incorrectly Classified Instances 220 7.3801 % Kappa statistic 0.9137 Mean absolute error 0.0211 Root mean squared error 0.1452 Relative absolute error 8.6341 % Root relative squared error 41.5551 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.906 0.016 0.908 0.906 0.907 0.945 chest 0.911 0.009 0.917 0.911 0.914 0.951 forearm 0.884 0.021 0.88 0.884 0.882 0.931 head 0.987 0.002 0.991 0.987 0.989 0.993 shin 0.978 0.004 0.98 0.978 0.979 0.987 thigh 0.864 0.025 0.86 0.864 0.862 0.92 upperarm 0.949 0.01 0.944 0.949 0.947 0.969 waist Weighted Avg. 0.926 0.013 0.926 0.926 0.926 0.957 === Confusion Matrix === a b c d e f g <-- classified as 407 0 14 0 3 24 1 | a = chest 0 265 6 0 0 1 19 | b = forearm 11 5 396 0 1 33 2 | c = head 0 0 1 442 3 1 1 | d = shin 4 0 1 3 438 2 0 | e = thigh 23 5 31 0 0 388 2 | f = upperarm 3 14 1 1 2 2 425 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2739 91.8819 % Incorrectly Classified Instances 242 8.1181 % Kappa statistic 0.905 Mean absolute error 0.0232 Root mean squared error 0.1523 Relative absolute error 9.4975 % Root relative squared error 43.5834 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.922 0.018 0.9 0.922 0.911 0.952 chest 0.911 0.012 0.889 0.911 0.9 0.949 forearm 0.855 0.021 0.88 0.855 0.867 0.917 head 0.982 0.002 0.989 0.982 0.985 0.99 shin 0.993 0.001 0.993 0.993 0.993 0.996 thigh 0.82 0.03 0.827 0.82 0.823 0.895 upperarm 0.946 0.01 0.942 0.946 0.944 0.968 waist Weighted Avg. 0.919 0.014 0.919 0.919 0.919 0.953 === Confusion Matrix === a b c d e f g <-- classified as 414 0 7 1 2 24 1 | a = chest 0 265 0 1 0 12 13 | b = forearm 17 8 383 0 0 40 0 | c = head 0 0 1 440 0 0 7 | d = shin 0 0 0 2 445 0 1 | e = thigh 27 7 43 0 0 368 4 | f = upperarm 2 18 1 1 1 1 424 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2732 91.6471 % Incorrectly Classified Instances 249 8.3529 % Kappa statistic 0.9023 Mean absolute error 0.0239 Root mean squared error 0.1545 Relative absolute error 9.7722 % Root relative squared error 44.2092 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.913 0.015 0.915 0.913 0.914 0.949 chest 0.887 0.011 0.896 0.887 0.891 0.938 forearm 0.857 0.026 0.855 0.857 0.856 0.916 head 0.971 0.002 0.989 0.971 0.98 0.984 shin 0.991 0.002 0.991 0.991 0.991 0.995 thigh 0.829 0.029 0.836 0.829 0.832 0.9 upperarm 0.958 0.013 0.927 0.958 0.942 0.972 waist Weighted Avg. 0.916 0.014 0.917 0.916 0.916 0.951 === Confusion Matrix === a b c d e f g <-- classified as 410 0 15 0 3 20 1 | a = chest 0 258 2 1 0 7 23 | b = forearm 11 8 384 0 0 44 1 | c = head 1 3 3 434 0 0 6 | d = shin 0 1 0 2 445 0 1 | e = thigh 26 3 44 1 1 372 2 | f = upperarm 0 15 1 1 0 2 429 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2747 92.1503 % Incorrectly Classified Instances 234 7.8497 % Kappa statistic 0.9082 Mean absolute error 0.0224 Root mean squared error 0.1498 Relative absolute error 9.1836 % Root relative squared error 42.8569 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.918 0.015 0.914 0.918 0.916 0.951 chest 0.904 0.012 0.892 0.904 0.898 0.946 forearm 0.875 0.021 0.883 0.875 0.879 0.927 head 0.982 0.002 0.987 0.982 0.984 0.99 shin 0.989 0.004 0.978 0.989 0.983 0.992 thigh 0.833 0.028 0.84 0.833 0.837 0.902 upperarm 0.944 0.009 0.946 0.944 0.945 0.967 waist Weighted Avg. 0.922 0.013 0.921 0.922 0.921 0.954 === Confusion Matrix === a b c d e f g <-- classified as 412 0 7 0 3 26 1 | a = chest 0 263 0 2 0 5 21 | b = forearm 11 9 392 0 0 36 0 | c = head 1 0 1 439 3 1 2 | d = shin 3 0 0 1 444 1 0 | e = thigh 23 5 44 3 0 374 0 | f = upperarm 1 18 0 0 4 2 423 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2747 92.1503 % Incorrectly Classified Instances 234 7.8497 % Kappa statistic 0.9082 Mean absolute error 0.0224 Root mean squared error 0.1498 Relative absolute error 9.1834 % Root relative squared error 42.856 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.902 0.018 0.9 0.902 0.901 0.942 chest 0.908 0.01 0.904 0.908 0.906 0.949 forearm 0.895 0.026 0.861 0.895 0.877 0.935 head 0.964 0.001 0.995 0.964 0.98 0.982 shin 0.989 0.002 0.987 0.989 0.988 0.993 thigh 0.826 0.024 0.857 0.826 0.841 0.901 upperarm 0.962 0.01 0.943 0.962 0.952 0.976 waist Weighted Avg. 0.922 0.013 0.922 0.922 0.922 0.954 === Confusion Matrix === a b c d e f g <-- classified as 404 0 16 0 1 25 2 | a = chest 2 265 2 1 0 7 15 | b = forearm 14 4 401 0 1 26 2 | c = head 3 1 2 432 4 2 4 | d = shin 1 0 0 1 443 1 2 | e = thigh 24 9 44 0 0 371 1 | f = upperarm 1 14 1 0 0 1 431 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2738 91.8792 % Incorrectly Classified Instances 242 8.1208 % Kappa statistic 0.905 Mean absolute error 0.0232 Root mean squared error 0.1523 Relative absolute error 9.5007 % Root relative squared error 43.5906 % Total Number of Instances 2980 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.935 0.021 0.89 0.935 0.912 0.957 chest 0.921 0.015 0.87 0.921 0.895 0.953 forearm 0.837 0.019 0.889 0.837 0.862 0.909 head 0.969 0.001 0.995 0.969 0.982 0.984 shin 0.978 0.002 0.986 0.978 0.982 0.988 thigh 0.844 0.028 0.844 0.844 0.844 0.908 upperarm 0.949 0.01 0.944 0.949 0.946 0.969 waist Weighted Avg. 0.919 0.013 0.919 0.919 0.919 0.953 === Confusion Matrix === a b c d e f g <-- classified as 419 0 9 0 0 16 4 | a = chest 1 268 1 1 0 7 13 | b = forearm 19 9 376 0 0 44 1 | c = head 0 2 2 434 6 1 3 | d = shin 3 1 1 1 438 2 2 | e = thigh 29 7 32 0 0 379 2 | f = upperarm 0 21 2 0 0 0 424 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 3 FOLD: 0 Correctly Classified Instances 2755 92.4187 % Incorrectly Classified Instances 226 7.5813 % Kappa statistic 0.9113 Mean absolute error 0.0217 Root mean squared error 0.1472 Relative absolute error 8.8696 % Root relative squared error 42.118 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.915 0.019 0.893 0.915 0.904 0.948 chest 0.911 0.011 0.898 0.911 0.904 0.95 forearm 0.862 0.02 0.885 0.862 0.873 0.921 head 0.978 0.002 0.989 0.978 0.983 0.988 shin 0.98 0.002 0.991 0.98 0.985 0.989 thigh 0.86 0.025 0.86 0.86 0.86 0.917 upperarm 0.96 0.01 0.945 0.96 0.952 0.975 waist Weighted Avg. 0.924 0.013 0.924 0.924 0.924 0.956 === Confusion Matrix === a b c d e f g <-- classified as 411 0 13 0 1 23 1 | a = chest 1 265 1 2 1 3 18 | b = forearm 19 7 386 0 0 35 1 | c = head 0 3 1 438 1 1 4 | d = shin 4 0 0 3 439 1 1 | e = thigh 24 4 35 0 0 386 0 | f = upperarm 1 16 0 0 1 0 430 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2720 91.2445 % Incorrectly Classified Instances 261 8.7555 % Kappa statistic 0.8976 Mean absolute error 0.025 Root mean squared error 0.1582 Relative absolute error 10.2432 % Root relative squared error 45.262 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.918 0.02 0.89 0.918 0.904 0.949 chest 0.921 0.01 0.908 0.921 0.915 0.955 forearm 0.83 0.023 0.865 0.83 0.847 0.904 head 0.971 0.002 0.989 0.971 0.98 0.985 shin 0.973 0.002 0.991 0.973 0.982 0.986 thigh 0.837 0.039 0.793 0.837 0.815 0.899 upperarm 0.94 0.007 0.959 0.94 0.949 0.966 waist Weighted Avg. 0.912 0.015 0.914 0.912 0.913 0.949 === Confusion Matrix === a b c d e f g <-- classified as 412 0 11 2 1 22 1 | a = chest 3 268 2 0 0 11 7 | b = forearm 13 5 372 0 0 56 2 | c = head 2 2 0 435 2 4 3 | d = shin 6 0 0 2 436 1 3 | e = thigh 24 4 43 0 0 376 2 | f = upperarm 3 16 2 1 1 4 421 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2759 92.5528 % Incorrectly Classified Instances 222 7.4472 % Kappa statistic 0.9129 Mean absolute error 0.0213 Root mean squared error 0.1459 Relative absolute error 8.7126 % Root relative squared error 41.7436 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.929 0.016 0.91 0.929 0.92 0.956 chest 0.9 0.01 0.907 0.9 0.903 0.945 forearm 0.886 0.023 0.871 0.886 0.878 0.931 head 0.975 0.002 0.989 0.975 0.982 0.987 shin 0.987 0.004 0.98 0.987 0.983 0.992 thigh 0.84 0.023 0.867 0.84 0.853 0.908 upperarm 0.953 0.009 0.949 0.953 0.951 0.972 waist Weighted Avg. 0.926 0.013 0.925 0.926 0.925 0.956 === Confusion Matrix === a b c d e f g <-- classified as 417 0 11 0 4 15 2 | a = chest 1 262 6 1 0 5 16 | b = forearm 8 4 397 0 0 38 1 | c = head 1 0 3 437 5 0 2 | d = shin 4 0 0 1 442 0 1 | e = thigh 25 6 39 1 0 377 1 | f = upperarm 2 17 0 2 0 0 427 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2735 91.7477 % Incorrectly Classified Instances 246 8.2523 % Kappa statistic 0.9034 Mean absolute error 0.0236 Root mean squared error 0.1536 Relative absolute error 9.6545 % Root relative squared error 43.9421 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.922 0.02 0.89 0.922 0.906 0.951 chest 0.893 0.01 0.903 0.893 0.898 0.942 forearm 0.882 0.026 0.855 0.882 0.868 0.928 head 0.975 0.001 0.993 0.975 0.984 0.987 shin 0.98 0.002 0.987 0.98 0.983 0.989 thigh 0.802 0.022 0.867 0.802 0.833 0.89 upperarm 0.96 0.014 0.923 0.96 0.941 0.973 waist Weighted Avg. 0.917 0.014 0.918 0.917 0.917 0.952 === Confusion Matrix === a b c d e f g <-- classified as 414 1 17 0 0 17 0 | a = chest 0 260 0 1 1 8 21 | b = forearm 18 5 395 0 0 28 2 | c = head 0 3 1 437 2 0 5 | d = shin 2 1 3 2 439 1 0 | e = thigh 30 5 46 0 0 360 8 | f = upperarm 1 13 0 0 3 1 430 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2737 91.8148 % Incorrectly Classified Instances 244 8.1852 % Kappa statistic 0.9042 Mean absolute error 0.0234 Root mean squared error 0.1529 Relative absolute error 9.576 % Root relative squared error 43.7631 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.891 0.015 0.911 0.891 0.901 0.938 chest 0.904 0.01 0.91 0.904 0.907 0.947 forearm 0.859 0.021 0.879 0.859 0.869 0.919 head 0.98 0.001 0.993 0.98 0.987 0.989 shin 0.98 0.005 0.973 0.98 0.977 0.988 thigh 0.853 0.034 0.815 0.853 0.834 0.909 upperarm 0.955 0.009 0.947 0.955 0.951 0.973 waist Weighted Avg. 0.918 0.014 0.919 0.918 0.918 0.952 === Confusion Matrix === a b c d e f g <-- classified as 400 0 13 0 4 31 1 | a = chest 1 263 4 0 2 4 17 | b = forearm 11 4 385 0 1 46 1 | c = head 0 0 0 439 5 2 2 | d = shin 2 0 0 3 439 2 2 | e = thigh 25 6 34 0 0 383 1 | f = upperarm 0 16 2 0 0 2 428 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2765 92.7541 % Incorrectly Classified Instances 216 7.2459 % Kappa statistic 0.9152 Mean absolute error 0.0207 Root mean squared error 0.1439 Relative absolute error 8.4771 % Root relative squared error 41.1756 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.947 0.013 0.926 0.947 0.936 0.967 chest 0.904 0.011 0.901 0.904 0.902 0.946 forearm 0.897 0.024 0.866 0.897 0.882 0.936 head 0.967 0.001 0.993 0.967 0.98 0.983 shin 0.984 0.002 0.989 0.984 0.987 0.991 thigh 0.833 0.023 0.866 0.833 0.849 0.905 upperarm 0.953 0.01 0.945 0.953 0.949 0.972 waist Weighted Avg. 0.928 0.012 0.928 0.928 0.928 0.958 === Confusion Matrix === a b c d e f g <-- classified as 425 0 8 0 1 15 0 | a = chest 0 263 2 0 0 5 21 | b = forearm 13 3 402 0 0 30 0 | c = head 2 0 3 433 4 3 3 | d = shin 2 0 0 2 441 3 0 | e = thigh 17 7 49 1 0 374 1 | f = upperarm 0 19 0 0 0 2 427 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2771 92.9554 % Incorrectly Classified Instances 210 7.0446 % Kappa statistic 0.9176 Mean absolute error 0.0201 Root mean squared error 0.1419 Relative absolute error 8.2417 % Root relative squared error 40.5997 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.902 0.009 0.948 0.902 0.925 0.947 chest 0.9 0.009 0.919 0.9 0.91 0.946 forearm 0.904 0.024 0.869 0.904 0.886 0.94 head 0.98 0.002 0.991 0.98 0.985 0.989 shin 0.993 0.003 0.985 0.993 0.989 0.995 thigh 0.866 0.028 0.847 0.866 0.857 0.919 upperarm 0.951 0.009 0.949 0.951 0.95 0.971 waist Weighted Avg. 0.93 0.012 0.93 0.93 0.93 0.959 === Confusion Matrix === a b c d e f g <-- classified as 405 0 15 0 0 29 0 | a = chest 0 262 5 0 0 7 17 | b = forearm 9 2 405 0 0 32 0 | c = head 1 0 0 439 4 0 4 | d = shin 0 0 0 1 446 1 1 | e = thigh 11 6 38 2 2 389 1 | f = upperarm 1 15 3 1 1 1 425 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2751 92.2845 % Incorrectly Classified Instances 230 7.7155 % Kappa statistic 0.9097 Mean absolute error 0.022 Root mean squared error 0.1485 Relative absolute error 9.0266 % Root relative squared error 42.4891 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.915 0.016 0.909 0.915 0.912 0.95 chest 0.897 0.011 0.9 0.897 0.898 0.943 forearm 0.868 0.022 0.874 0.868 0.871 0.923 head 0.984 0.001 0.993 0.984 0.989 0.992 shin 0.989 0.003 0.982 0.989 0.986 0.993 thigh 0.84 0.026 0.849 0.84 0.844 0.907 upperarm 0.957 0.01 0.943 0.957 0.95 0.974 waist Weighted Avg. 0.923 0.013 0.923 0.923 0.923 0.955 === Confusion Matrix === a b c d e f g <-- classified as 411 0 11 0 4 21 2 | a = chest 0 261 2 1 1 5 21 | b = forearm 13 6 389 0 0 40 0 | c = head 2 1 0 441 2 0 2 | d = shin 1 0 0 2 444 1 1 | e = thigh 24 5 43 0 0 377 0 | f = upperarm 1 17 0 0 1 0 428 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2752 92.318 % Incorrectly Classified Instances 229 7.682 % Kappa statistic 0.9101 Mean absolute error 0.0219 Root mean squared error 0.1482 Relative absolute error 8.9872 % Root relative squared error 42.3957 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.938 0.018 0.903 0.938 0.92 0.96 chest 0.908 0.009 0.914 0.908 0.911 0.949 forearm 0.857 0.02 0.883 0.857 0.87 0.919 head 0.978 0.001 0.993 0.978 0.985 0.988 shin 0.98 0.003 0.982 0.98 0.981 0.988 thigh 0.833 0.028 0.839 0.833 0.836 0.902 upperarm 0.964 0.01 0.945 0.964 0.955 0.977 waist Weighted Avg. 0.923 0.013 0.923 0.923 0.923 0.955 === Confusion Matrix === a b c d e f g <-- classified as 420 1 5 0 2 20 0 | a = chest 0 265 1 1 0 8 17 | b = forearm 18 7 385 0 0 38 1 | c = head 1 1 2 437 5 1 0 | d = shin 0 0 1 2 439 4 2 | e = thigh 25 4 41 0 0 374 5 | f = upperarm 1 12 1 0 1 1 432 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2749 92.2483 % Incorrectly Classified Instances 231 7.7517 % Kappa statistic 0.9093 Mean absolute error 0.0221 Root mean squared error 0.1488 Relative absolute error 9.0688 % Root relative squared error 42.5884 % Total Number of Instances 2980 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.915 0.015 0.915 0.915 0.915 0.95 chest 0.897 0.011 0.9 0.897 0.898 0.943 forearm 0.884 0.023 0.874 0.884 0.879 0.931 head 0.973 0.002 0.989 0.973 0.981 0.986 shin 0.987 0.002 0.991 0.987 0.989 0.993 thigh 0.84 0.028 0.843 0.84 0.842 0.906 upperarm 0.953 0.011 0.938 0.953 0.946 0.971 waist Weighted Avg. 0.922 0.013 0.923 0.922 0.923 0.955 === Confusion Matrix === a b c d e f g <-- classified as 410 0 8 0 1 28 1 | a = chest 1 261 1 0 0 12 16 | b = forearm 13 9 397 0 0 30 0 | c = head 0 1 3 435 2 0 6 | d = shin 0 0 0 3 442 0 3 | e = thigh 23 3 43 1 0 377 2 | f = upperarm 1 16 2 1 1 0 427 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 4 FOLD: 0 Correctly Classified Instances 2761 92.6199 % Incorrectly Classified Instances 220 7.3801 % Kappa statistic 0.9136 Mean absolute error 0.0211 Root mean squared error 0.1452 Relative absolute error 8.6341 % Root relative squared error 41.5551 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.92 0.012 0.93 0.92 0.925 0.954 chest 0.873 0.007 0.93 0.873 0.901 0.933 forearm 0.857 0.022 0.873 0.857 0.865 0.918 head 0.98 0.001 0.995 0.98 0.988 0.99 shin 0.982 0.001 0.995 0.982 0.989 0.991 thigh 0.878 0.033 0.824 0.878 0.85 0.922 upperarm 0.975 0.01 0.944 0.975 0.959 0.983 waist Weighted Avg. 0.926 0.013 0.927 0.926 0.926 0.957 === Confusion Matrix === a b c d e f g <-- classified as 413 0 14 0 0 20 2 | a = chest 0 254 2 1 1 15 18 | b = forearm 14 6 384 0 0 44 0 | c = head 2 0 2 438 1 1 3 | d = shin 2 1 1 1 441 1 2 | e = thigh 13 6 35 0 0 394 1 | f = upperarm 0 6 2 0 0 3 437 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2743 92.0161 % Incorrectly Classified Instances 238 7.9839 % Kappa statistic 0.9066 Mean absolute error 0.0228 Root mean squared error 0.151 Relative absolute error 9.3405 % Root relative squared error 43.2217 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.929 0.019 0.899 0.929 0.913 0.955 chest 0.897 0.011 0.897 0.897 0.897 0.943 forearm 0.866 0.022 0.874 0.866 0.87 0.922 head 0.978 0.002 0.989 0.978 0.983 0.988 shin 0.984 0.002 0.991 0.984 0.988 0.991 thigh 0.831 0.027 0.846 0.831 0.838 0.902 upperarm 0.949 0.011 0.938 0.949 0.943 0.969 waist Weighted Avg. 0.92 0.013 0.92 0.92 0.92 0.953 === Confusion Matrix === a b c d e f g <-- classified as 417 0 10 0 0 20 2 | a = chest 0 261 2 0 0 12 16 | b = forearm 19 8 388 0 0 31 2 | c = head 2 1 0 437 2 2 3 | d = shin 0 0 0 3 442 1 3 | e = thigh 25 5 43 1 0 373 2 | f = upperarm 1 16 1 1 2 2 425 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2744 92.0496 % Incorrectly Classified Instances 237 7.9504 % Kappa statistic 0.907 Mean absolute error 0.0227 Root mean squared error 0.1507 Relative absolute error 9.3013 % Root relative squared error 43.1308 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.895 0.014 0.92 0.895 0.907 0.941 chest 0.918 0.01 0.908 0.918 0.913 0.954 forearm 0.884 0.026 0.857 0.884 0.871 0.929 head 0.969 0.001 0.993 0.969 0.981 0.984 shin 0.973 0.004 0.978 0.973 0.975 0.985 thigh 0.846 0.028 0.843 0.846 0.844 0.909 upperarm 0.957 0.01 0.945 0.957 0.951 0.974 waist Weighted Avg. 0.92 0.013 0.921 0.92 0.921 0.954 === Confusion Matrix === a b c d e f g <-- classified as 402 0 16 0 5 25 1 | a = chest 2 267 3 0 0 5 14 | b = forearm 11 4 397 0 0 35 2 | c = head 2 1 2 434 4 1 4 | d = shin 3 0 1 2 436 4 2 | e = thigh 16 5 44 1 1 380 2 | f = upperarm 1 17 0 0 0 1 428 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2759 92.5528 % Incorrectly Classified Instances 222 7.4472 % Kappa statistic 0.9129 Mean absolute error 0.0213 Root mean squared error 0.1459 Relative absolute error 8.7126 % Root relative squared error 41.7436 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.909 0.013 0.923 0.909 0.916 0.948 chest 0.938 0.009 0.916 0.938 0.927 0.964 forearm 0.904 0.027 0.855 0.904 0.879 0.938 head 0.973 0.001 0.993 0.973 0.983 0.986 shin 0.984 0.004 0.98 0.984 0.982 0.99 thigh 0.82 0.024 0.858 0.82 0.838 0.898 upperarm 0.955 0.008 0.953 0.955 0.954 0.973 waist Weighted Avg. 0.926 0.013 0.926 0.926 0.925 0.956 === Confusion Matrix === a b c d e f g <-- classified as 408 0 14 0 2 24 1 | a = chest 1 273 2 0 0 5 10 | b = forearm 11 4 406 0 0 28 0 | c = head 0 1 1 436 6 0 4 | d = shin 1 1 0 1 441 2 2 | e = thigh 21 4 52 0 0 368 4 | f = upperarm 0 15 0 2 1 2 427 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2773 93.0225 % Incorrectly Classified Instances 208 6.9775 % Kappa statistic 0.9183 Mean absolute error 0.0199 Root mean squared error 0.1412 Relative absolute error 8.1632 % Root relative squared error 40.4059 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.935 0.017 0.909 0.935 0.922 0.959 chest 0.88 0.007 0.931 0.88 0.905 0.936 forearm 0.888 0.015 0.913 0.888 0.9 0.937 head 0.975 0.001 0.995 0.975 0.985 0.987 shin 0.993 0.004 0.98 0.993 0.987 0.995 thigh 0.869 0.024 0.863 0.869 0.866 0.922 upperarm 0.953 0.014 0.922 0.953 0.937 0.969 waist Weighted Avg. 0.93 0.012 0.93 0.93 0.93 0.959 === Confusion Matrix === a b c d e f g <-- classified as 420 1 7 1 2 18 0 | a = chest 0 256 2 0 2 4 27 | b = forearm 11 2 398 0 0 37 0 | c = head 0 0 0 437 5 1 5 | d = shin 2 0 0 0 445 0 1 | e = thigh 27 2 27 0 0 390 3 | f = upperarm 2 14 2 1 0 2 427 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2752 92.318 % Incorrectly Classified Instances 229 7.682 % Kappa statistic 0.9101 Mean absolute error 0.0219 Root mean squared error 0.1482 Relative absolute error 8.9873 % Root relative squared error 42.3966 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.922 0.016 0.912 0.922 0.917 0.953 chest 0.911 0.01 0.908 0.911 0.909 0.95 forearm 0.868 0.025 0.861 0.868 0.864 0.922 head 0.978 0.002 0.991 0.978 0.984 0.988 shin 0.987 0.003 0.984 0.987 0.986 0.992 thigh 0.84 0.025 0.857 0.84 0.848 0.907 upperarm 0.953 0.01 0.945 0.953 0.949 0.972 waist Weighted Avg. 0.923 0.013 0.923 0.923 0.923 0.955 === Confusion Matrix === a b c d e f g <-- classified as 414 0 13 0 2 17 3 | a = chest 0 265 1 2 0 4 19 | b = forearm 12 7 389 0 1 39 0 | c = head 1 0 3 438 4 1 1 | d = shin 0 0 0 2 442 2 2 | e = thigh 26 2 44 0 0 377 0 | f = upperarm 1 18 2 0 0 0 427 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2743 92.0161 % Incorrectly Classified Instances 238 7.9839 % Kappa statistic 0.9066 Mean absolute error 0.0228 Root mean squared error 0.151 Relative absolute error 9.3405 % Root relative squared error 43.2217 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.9 0.014 0.918 0.9 0.909 0.943 chest 0.918 0.01 0.908 0.918 0.913 0.954 forearm 0.875 0.025 0.86 0.875 0.867 0.925 head 0.971 0.002 0.989 0.971 0.98 0.985 shin 0.982 0.003 0.984 0.982 0.983 0.99 thigh 0.837 0.029 0.837 0.837 0.837 0.904 upperarm 0.958 0.01 0.943 0.958 0.95 0.974 waist Weighted Avg. 0.92 0.014 0.92 0.92 0.92 0.953 === Confusion Matrix === a b c d e f g <-- classified as 404 1 12 1 1 30 0 | a = chest 0 267 4 0 0 3 17 | b = forearm 16 3 392 0 0 35 2 | c = head 0 1 1 435 5 2 4 | d = shin 2 0 0 3 440 3 0 | e = thigh 16 7 46 1 0 376 3 | f = upperarm 2 15 1 0 1 0 429 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2735 91.7477 % Incorrectly Classified Instances 246 8.2523 % Kappa statistic 0.9034 Mean absolute error 0.0236 Root mean squared error 0.1536 Relative absolute error 9.6545 % Root relative squared error 43.9421 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.927 0.02 0.891 0.927 0.908 0.953 chest 0.883 0.011 0.895 0.883 0.889 0.936 forearm 0.844 0.017 0.898 0.844 0.87 0.913 head 0.987 0 0.998 0.987 0.992 0.993 shin 0.989 0.002 0.991 0.989 0.99 0.994 thigh 0.831 0.036 0.806 0.831 0.818 0.898 upperarm 0.951 0.011 0.94 0.951 0.946 0.97 waist Weighted Avg. 0.917 0.014 0.918 0.917 0.918 0.952 === Confusion Matrix === a b c d e f g <-- classified as 416 0 7 0 2 23 1 | a = chest 0 257 2 1 1 10 20 | b = forearm 14 4 378 0 0 51 1 | c = head 0 0 0 442 1 2 3 | d = shin 1 0 0 0 443 3 1 | e = thigh 35 6 34 0 0 373 1 | f = upperarm 1 20 0 0 0 1 426 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2744 92.0496 % Incorrectly Classified Instances 237 7.9504 % Kappa statistic 0.907 Mean absolute error 0.0227 Root mean squared error 0.1507 Relative absolute error 9.3011 % Root relative squared error 43.1299 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.904 0.013 0.925 0.904 0.914 0.945 chest 0.901 0.012 0.895 0.901 0.898 0.945 forearm 0.873 0.022 0.875 0.873 0.874 0.925 head 0.969 0.003 0.984 0.969 0.976 0.983 shin 0.98 0.002 0.989 0.98 0.984 0.989 thigh 0.857 0.033 0.823 0.857 0.84 0.912 upperarm 0.953 0.009 0.951 0.953 0.952 0.972 waist Weighted Avg. 0.92 0.013 0.921 0.92 0.921 0.954 === Confusion Matrix === a b c d e f g <-- classified as 405 0 11 0 1 30 1 | a = chest 1 263 2 0 0 8 18 | b = forearm 10 8 391 0 1 38 0 | c = head 0 3 3 434 2 4 2 | d = shin 2 0 1 6 439 0 0 | e = thigh 19 5 39 0 0 385 1 | f = upperarm 1 15 0 1 1 3 427 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2728 91.5436 % Incorrectly Classified Instances 252 8.4564 % Kappa statistic 0.9011 Mean absolute error 0.0242 Root mean squared error 0.1554 Relative absolute error 9.8933 % Root relative squared error 44.4821 % Total Number of Instances 2980 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.935 0.011 0.937 0.935 0.936 0.962 chest 0.904 0.015 0.871 0.904 0.887 0.945 forearm 0.855 0.023 0.868 0.855 0.862 0.916 head 0.978 0.002 0.989 0.978 0.983 0.988 shin 0.98 0.004 0.98 0.98 0.98 0.988 thigh 0.826 0.032 0.823 0.826 0.824 0.897 upperarm 0.926 0.013 0.926 0.926 0.926 0.957 waist Weighted Avg. 0.915 0.014 0.916 0.915 0.916 0.951 === Confusion Matrix === a b c d e f g <-- classified as 419 0 7 0 2 19 1 | a = chest 0 263 0 1 0 9 18 | b = forearm 7 7 383 0 0 51 0 | c = head 0 0 1 438 2 0 7 | d = shin 5 0 0 3 439 0 1 | e = thigh 16 8 46 1 1 371 6 | f = upperarm 0 24 4 0 4 1 415 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 5 FOLD: 0 Correctly Classified Instances 2752 92.318 % Incorrectly Classified Instances 229 7.682 % Kappa statistic 0.9101 Mean absolute error 0.0219 Root mean squared error 0.1482 Relative absolute error 8.9873 % Root relative squared error 42.3966 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.918 0.012 0.93 0.918 0.924 0.953 chest 0.897 0.009 0.916 0.897 0.906 0.944 forearm 0.873 0.024 0.865 0.873 0.869 0.924 head 0.98 0.002 0.987 0.98 0.983 0.989 shin 0.987 0.002 0.989 0.987 0.988 0.992 thigh 0.842 0.03 0.834 0.842 0.838 0.906 upperarm 0.958 0.011 0.941 0.958 0.949 0.973 waist Weighted Avg. 0.923 0.013 0.923 0.923 0.923 0.955 === Confusion Matrix === a b c d e f g <-- classified as 412 0 12 1 2 22 0 | a = chest 0 261 3 1 0 8 18 | b = forearm 14 2 391 0 0 40 1 | c = head 0 0 1 439 3 3 2 | d = shin 3 0 0 2 442 0 1 | e = thigh 14 6 45 1 0 378 5 | f = upperarm 0 16 0 1 0 2 429 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2744 92.0496 % Incorrectly Classified Instances 237 7.9504 % Kappa statistic 0.907 Mean absolute error 0.0227 Root mean squared error 0.1507 Relative absolute error 9.3013 % Root relative squared error 43.1308 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.924 0.019 0.898 0.924 0.911 0.953 chest 0.88 0.009 0.918 0.88 0.898 0.936 forearm 0.853 0.024 0.864 0.853 0.858 0.914 head 0.989 0.001 0.996 0.989 0.992 0.994 shin 0.989 0.002 0.989 0.989 0.989 0.993 thigh 0.842 0.028 0.84 0.842 0.841 0.907 upperarm 0.953 0.011 0.938 0.953 0.946 0.971 waist Weighted Avg. 0.92 0.014 0.921 0.92 0.92 0.953 === Confusion Matrix === a b c d e f g <-- classified as 415 0 11 0 2 21 0 | a = chest 0 256 3 0 0 9 23 | b = forearm 20 6 382 0 0 40 0 | c = head 1 0 0 443 1 0 3 | d = shin 2 0 0 0 443 1 2 | e = thigh 21 2 46 1 1 378 0 | f = upperarm 3 15 0 1 1 1 427 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2751 92.2845 % Incorrectly Classified Instances 230 7.7155 % Kappa statistic 0.9097 Mean absolute error 0.022 Root mean squared error 0.1485 Relative absolute error 9.0266 % Root relative squared error 42.4891 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.918 0.015 0.914 0.918 0.916 0.951 chest 0.9 0.01 0.91 0.9 0.905 0.945 forearm 0.897 0.027 0.855 0.897 0.876 0.935 head 0.973 0.001 0.995 0.973 0.984 0.986 shin 0.991 0.004 0.98 0.991 0.986 0.994 thigh 0.815 0.023 0.863 0.815 0.838 0.896 upperarm 0.958 0.011 0.939 0.958 0.948 0.973 waist Weighted Avg. 0.923 0.013 0.923 0.923 0.923 0.955 === Confusion Matrix === a b c d e f g <-- classified as 412 0 15 0 3 18 1 | a = chest 2 262 1 0 0 6 20 | b = forearm 9 7 402 0 0 29 1 | c = head 1 0 0 436 6 2 3 | d = shin 0 0 0 1 444 2 1 | e = thigh 25 6 50 0 0 366 2 | f = upperarm 2 13 2 1 0 1 429 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2750 92.2509 % Incorrectly Classified Instances 231 7.7491 % Kappa statistic 0.9094 Mean absolute error 0.0221 Root mean squared error 0.1488 Relative absolute error 9.0658 % Root relative squared error 42.5813 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.915 0.013 0.924 0.915 0.919 0.951 chest 0.924 0.014 0.876 0.924 0.9 0.955 forearm 0.866 0.017 0.902 0.866 0.884 0.925 head 0.982 0 1 0.982 0.991 0.991 shin 0.978 0.002 0.986 0.978 0.982 0.988 thigh 0.849 0.034 0.818 0.849 0.833 0.907 upperarm 0.944 0.01 0.942 0.944 0.943 0.967 waist Weighted Avg. 0.923 0.013 0.924 0.923 0.923 0.955 === Confusion Matrix === a b c d e f g <-- classified as 411 1 7 0 2 26 2 | a = chest 0 269 1 0 0 7 14 | b = forearm 7 4 388 0 0 48 1 | c = head 0 2 0 440 4 1 1 | d = shin 4 0 0 0 438 2 4 | e = thigh 19 11 34 0 0 381 4 | f = upperarm 4 20 0 0 0 1 423 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2738 91.8484 % Incorrectly Classified Instances 243 8.1516 % Kappa statistic 0.9046 Mean absolute error 0.0233 Root mean squared error 0.1526 Relative absolute error 9.5368 % Root relative squared error 43.6733 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.922 0.016 0.91 0.922 0.916 0.953 chest 0.897 0.012 0.894 0.897 0.895 0.943 forearm 0.855 0.022 0.872 0.855 0.864 0.916 head 0.964 0.001 0.993 0.964 0.978 0.982 shin 0.98 0.003 0.984 0.98 0.982 0.989 thigh 0.853 0.029 0.838 0.853 0.845 0.912 upperarm 0.951 0.012 0.932 0.951 0.941 0.969 waist Weighted Avg. 0.918 0.014 0.919 0.918 0.919 0.952 === Confusion Matrix === a b c d e f g <-- classified as 414 0 11 0 0 22 2 | a = chest 1 261 2 1 0 7 19 | b = forearm 13 9 383 0 1 41 1 | c = head 1 1 2 432 5 2 5 | d = shin 2 1 0 2 439 1 3 | e = thigh 22 2 40 0 1 383 1 | f = upperarm 2 18 1 0 0 1 426 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2763 92.687 % Incorrectly Classified Instances 218 7.313 % Kappa statistic 0.9144 Mean absolute error 0.0209 Root mean squared error 0.1445 Relative absolute error 8.5556 % Root relative squared error 41.3658 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.913 0.01 0.943 0.913 0.928 0.952 chest 0.897 0.007 0.932 0.897 0.914 0.945 forearm 0.888 0.024 0.869 0.888 0.879 0.932 head 0.98 0.001 0.993 0.98 0.987 0.989 shin 0.98 0.003 0.982 0.98 0.981 0.988 thigh 0.853 0.03 0.836 0.853 0.845 0.912 upperarm 0.967 0.011 0.939 0.967 0.953 0.978 waist Weighted Avg. 0.927 0.013 0.928 0.927 0.927 0.957 === Confusion Matrix === a b c d e f g <-- classified as 410 0 10 0 1 28 0 | a = chest 1 261 3 0 0 7 19 | b = forearm 8 2 398 0 1 37 2 | c = head 0 0 2 439 3 0 4 | d = shin 2 1 0 2 439 2 2 | e = thigh 14 6 44 1 0 383 1 | f = upperarm 0 10 1 0 3 1 433 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2737 91.8148 % Incorrectly Classified Instances 244 8.1852 % Kappa statistic 0.9043 Mean absolute error 0.0234 Root mean squared error 0.1529 Relative absolute error 9.576 % Root relative squared error 43.7631 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.891 0.012 0.928 0.891 0.909 0.939 chest 0.914 0.013 0.881 0.914 0.897 0.95 forearm 0.864 0.025 0.86 0.864 0.862 0.92 head 0.98 0.002 0.987 0.98 0.983 0.989 shin 0.98 0.002 0.989 0.98 0.984 0.989 thigh 0.857 0.031 0.832 0.857 0.844 0.913 upperarm 0.94 0.01 0.944 0.94 0.942 0.965 waist Weighted Avg. 0.918 0.014 0.919 0.918 0.918 0.952 === Confusion Matrix === a b c d e f g <-- classified as 399 0 17 0 3 27 2 | a = chest 0 266 2 2 0 6 15 | b = forearm 12 7 388 0 0 41 1 | c = head 1 1 1 439 2 1 3 | d = shin 1 0 1 4 439 2 1 | e = thigh 17 4 40 0 0 385 3 | f = upperarm 0 24 2 0 0 1 421 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2741 91.949 % Incorrectly Classified Instances 240 8.051 % Kappa statistic 0.9058 Mean absolute error 0.023 Root mean squared error 0.1517 Relative absolute error 9.419 % Root relative squared error 43.4029 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.915 0.019 0.897 0.915 0.906 0.948 chest 0.907 0.012 0.895 0.907 0.901 0.948 forearm 0.889 0.021 0.881 0.889 0.885 0.934 head 0.962 0.002 0.991 0.962 0.976 0.98 shin 0.984 0.004 0.98 0.984 0.982 0.99 thigh 0.829 0.026 0.849 0.829 0.839 0.901 upperarm 0.946 0.011 0.936 0.946 0.941 0.967 waist Weighted Avg. 0.919 0.014 0.92 0.919 0.919 0.953 === Confusion Matrix === a b c d e f g <-- classified as 410 0 12 0 2 23 1 | a = chest 0 264 3 0 0 7 17 | b = forearm 13 5 399 0 0 32 0 | c = head 1 2 0 431 4 2 8 | d = shin 2 0 0 2 441 1 2 | e = thigh 30 7 38 1 0 372 1 | f = upperarm 1 17 1 1 3 1 424 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2735 91.7477 % Incorrectly Classified Instances 246 8.2523 % Kappa statistic 0.9034 Mean absolute error 0.0236 Root mean squared error 0.1536 Relative absolute error 9.6543 % Root relative squared error 43.9412 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.904 0.02 0.888 0.904 0.896 0.942 chest 0.877 0.009 0.918 0.877 0.897 0.934 forearm 0.875 0.019 0.889 0.875 0.882 0.928 head 0.987 0.002 0.989 0.987 0.988 0.992 shin 0.982 0.004 0.98 0.982 0.981 0.989 thigh 0.826 0.028 0.837 0.826 0.832 0.899 upperarm 0.957 0.015 0.92 0.957 0.939 0.971 waist Weighted Avg. 0.917 0.014 0.917 0.917 0.917 0.952 === Confusion Matrix === a b c d e f g <-- classified as 406 1 9 0 2 26 5 | a = chest 0 256 1 0 2 9 24 | b = forearm 15 5 392 0 0 35 1 | c = head 1 0 0 441 3 1 1 | d = shin 1 0 0 5 441 1 1 | e = thigh 34 1 38 0 0 371 5 | f = upperarm 0 16 1 0 2 0 428 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2770 92.953 % Incorrectly Classified Instances 210 7.047 % Kappa statistic 0.9175 Mean absolute error 0.0201 Root mean squared error 0.1419 Relative absolute error 8.2444 % Root relative squared error 40.6064 % Total Number of Instances 2980 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.933 0.013 0.925 0.933 0.929 0.96 chest 0.907 0.009 0.92 0.907 0.913 0.949 forearm 0.875 0.022 0.877 0.875 0.876 0.927 head 0.969 0.001 0.993 0.969 0.981 0.984 shin 0.991 0.002 0.991 0.991 0.991 0.995 thigh 0.86 0.026 0.854 0.86 0.857 0.917 upperarm 0.964 0.01 0.945 0.964 0.955 0.977 waist Weighted Avg. 0.93 0.012 0.93 0.93 0.93 0.959 === Confusion Matrix === a b c d e f g <-- classified as 419 0 12 0 0 18 0 | a = chest 0 264 1 1 1 7 17 | b = forearm 12 5 392 0 0 38 1 | c = head 1 0 4 433 2 2 5 | d = shin 1 0 0 2 445 0 1 | e = thigh 20 4 38 0 0 386 1 | f = upperarm 0 14 0 0 1 1 431 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 6 FOLD: 0 Correctly Classified Instances 2762 92.6535 % Incorrectly Classified Instances 219 7.3465 % Kappa statistic 0.914 Mean absolute error 0.021 Root mean squared error 0.1449 Relative absolute error 8.5949 % Root relative squared error 41.4606 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.906 0.013 0.925 0.906 0.916 0.947 chest 0.893 0.008 0.925 0.893 0.909 0.943 forearm 0.904 0.023 0.875 0.904 0.889 0.941 head 0.975 0.003 0.984 0.975 0.98 0.986 shin 0.989 0.003 0.984 0.989 0.987 0.993 thigh 0.849 0.026 0.852 0.849 0.85 0.911 upperarm 0.958 0.011 0.941 0.958 0.949 0.973 waist Weighted Avg. 0.927 0.013 0.927 0.927 0.927 0.957 === Confusion Matrix === a b c d e f g <-- classified as 407 0 10 0 3 28 1 | a = chest 0 260 2 1 0 8 20 | b = forearm 11 4 405 0 0 28 0 | c = head 2 0 3 437 2 1 3 | d = shin 2 0 0 2 443 1 0 | e = thigh 17 4 42 2 0 381 3 | f = upperarm 1 13 1 2 2 0 429 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2743 92.0161 % Incorrectly Classified Instances 238 7.9839 % Kappa statistic 0.9066 Mean absolute error 0.0228 Root mean squared error 0.151 Relative absolute error 9.3405 % Root relative squared error 43.2217 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.9 0.017 0.902 0.9 0.901 0.941 chest 0.914 0.011 0.899 0.914 0.906 0.951 forearm 0.864 0.022 0.876 0.864 0.87 0.921 head 0.969 0.001 0.993 0.969 0.981 0.984 shin 0.989 0.004 0.976 0.989 0.982 0.992 thigh 0.86 0.028 0.843 0.86 0.851 0.916 upperarm 0.944 0.009 0.948 0.944 0.946 0.968 waist Weighted Avg. 0.92 0.013 0.921 0.92 0.92 0.953 === Confusion Matrix === a b c d e f g <-- classified as 404 0 13 0 3 28 1 | a = chest 0 266 2 1 1 6 15 | b = forearm 16 7 387 0 1 36 1 | c = head 1 1 2 434 5 0 5 | d = shin 2 0 0 1 443 2 0 | e = thigh 23 4 34 1 0 386 1 | f = upperarm 2 18 4 0 1 0 423 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2748 92.1838 % Incorrectly Classified Instances 233 7.8162 % Kappa statistic 0.9086 Mean absolute error 0.0223 Root mean squared error 0.1494 Relative absolute error 9.1443 % Root relative squared error 42.7653 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.92 0.017 0.908 0.92 0.914 0.952 chest 0.907 0.011 0.901 0.907 0.904 0.948 forearm 0.859 0.023 0.869 0.859 0.864 0.918 head 0.971 0.002 0.986 0.971 0.979 0.984 shin 0.978 0.003 0.982 0.978 0.98 0.987 thigh 0.849 0.026 0.852 0.849 0.85 0.911 upperarm 0.964 0.009 0.947 0.964 0.956 0.977 waist Weighted Avg. 0.922 0.013 0.922 0.922 0.922 0.954 === Confusion Matrix === a b c d e f g <-- classified as 413 1 14 1 1 18 1 | a = chest 0 264 3 0 0 10 14 | b = forearm 17 8 385 0 1 37 0 | c = head 2 1 0 435 4 1 5 | d = shin 3 0 1 4 438 0 2 | e = thigh 20 5 39 0 2 381 2 | f = upperarm 0 14 1 1 0 0 432 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2726 91.4458 % Incorrectly Classified Instances 255 8.5542 % Kappa statistic 0.8999 Mean absolute error 0.0244 Root mean squared error 0.1563 Relative absolute error 10.0077 % Root relative squared error 44.7387 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.902 0.019 0.894 0.902 0.898 0.942 chest 0.914 0.01 0.908 0.914 0.911 0.952 forearm 0.871 0.026 0.857 0.871 0.864 0.922 head 0.971 0.001 0.995 0.971 0.983 0.985 shin 0.987 0.003 0.984 0.987 0.986 0.992 thigh 0.804 0.033 0.811 0.804 0.808 0.885 upperarm 0.953 0.009 0.951 0.953 0.952 0.972 waist Weighted Avg. 0.914 0.015 0.915 0.914 0.915 0.95 === Confusion Matrix === a b c d e f g <-- classified as 405 1 13 0 3 26 1 | a = chest 1 266 2 1 0 8 13 | b = forearm 10 2 390 0 0 43 3 | c = head 2 3 0 435 4 3 1 | d = shin 1 0 0 1 442 3 1 | e = thigh 31 5 49 0 0 361 3 | f = upperarm 3 16 1 0 0 1 427 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2763 92.687 % Incorrectly Classified Instances 218 7.313 % Kappa statistic 0.9144 Mean absolute error 0.0209 Root mean squared error 0.1445 Relative absolute error 8.5556 % Root relative squared error 41.3658 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.924 0.017 0.908 0.924 0.916 0.954 chest 0.914 0.009 0.92 0.914 0.917 0.953 forearm 0.886 0.022 0.878 0.886 0.882 0.932 head 0.984 0.002 0.987 0.984 0.985 0.991 shin 0.973 0.001 0.995 0.973 0.984 0.986 thigh 0.844 0.027 0.846 0.844 0.845 0.908 upperarm 0.958 0.008 0.953 0.958 0.955 0.975 waist Weighted Avg. 0.927 0.012 0.927 0.927 0.927 0.957 === Confusion Matrix === a b c d e f g <-- classified as 415 0 9 0 1 22 2 | a = chest 1 266 3 1 0 7 13 | b = forearm 10 5 397 0 0 35 1 | c = head 2 1 1 441 0 0 3 | d = shin 3 1 1 3 436 2 2 | e = thigh 25 4 40 1 0 379 0 | f = upperarm 1 12 1 1 1 3 429 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2777 93.1567 % Incorrectly Classified Instances 204 6.8433 % Kappa statistic 0.92 Mean absolute error 0.0196 Root mean squared error 0.1398 Relative absolute error 8.0062 % Root relative squared error 40.0155 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.955 0.016 0.913 0.955 0.934 0.97 chest 0.924 0.011 0.9 0.924 0.912 0.957 forearm 0.893 0.021 0.885 0.893 0.889 0.936 head 0.975 0.001 0.995 0.975 0.985 0.987 shin 0.987 0.002 0.991 0.987 0.989 0.993 thigh 0.837 0.022 0.872 0.837 0.855 0.908 upperarm 0.946 0.008 0.955 0.946 0.951 0.969 waist Weighted Avg. 0.932 0.011 0.932 0.932 0.931 0.96 === Confusion Matrix === a b c d e f g <-- classified as 429 0 7 0 0 12 1 | a = chest 1 269 1 1 2 4 13 | b = forearm 10 4 400 0 0 34 0 | c = head 1 0 2 437 0 3 5 | d = shin 4 1 0 0 442 1 0 | e = thigh 25 4 42 1 0 376 1 | f = upperarm 0 21 0 0 2 1 424 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2743 92.0161 % Incorrectly Classified Instances 238 7.9839 % Kappa statistic 0.9066 Mean absolute error 0.0228 Root mean squared error 0.151 Relative absolute error 9.3405 % Root relative squared error 43.2217 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.918 0.011 0.936 0.918 0.927 0.953 chest 0.883 0.015 0.865 0.883 0.874 0.934 forearm 0.866 0.02 0.884 0.866 0.875 0.923 head 0.975 0 0.998 0.975 0.986 0.988 shin 0.987 0.003 0.984 0.987 0.986 0.992 thigh 0.853 0.03 0.833 0.853 0.843 0.911 upperarm 0.946 0.013 0.926 0.946 0.936 0.967 waist Weighted Avg. 0.92 0.013 0.921 0.92 0.92 0.953 === Confusion Matrix === a b c d e f g <-- classified as 412 0 10 0 0 25 2 | a = chest 0 257 5 0 0 8 21 | b = forearm 10 10 388 0 0 39 1 | c = head 0 0 0 437 7 1 3 | d = shin 0 0 1 1 442 3 1 | e = thigh 17 8 35 0 0 383 6 | f = upperarm 1 22 0 0 0 1 424 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2738 91.8484 % Incorrectly Classified Instances 243 8.1516 % Kappa statistic 0.9046 Mean absolute error 0.0233 Root mean squared error 0.1526 Relative absolute error 9.5368 % Root relative squared error 43.6733 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.929 0.018 0.9 0.929 0.914 0.955 chest 0.914 0.012 0.896 0.914 0.905 0.951 forearm 0.833 0.023 0.868 0.833 0.85 0.905 head 0.984 0.002 0.987 0.984 0.985 0.991 shin 0.978 0.001 0.993 0.978 0.985 0.988 thigh 0.835 0.027 0.845 0.835 0.84 0.904 upperarm 0.955 0.012 0.932 0.955 0.944 0.972 waist Weighted Avg. 0.918 0.014 0.918 0.918 0.918 0.952 === Confusion Matrix === a b c d e f g <-- classified as 416 0 13 0 0 19 0 | a = chest 0 266 0 0 0 3 22 | b = forearm 19 7 374 0 0 47 2 | c = head 0 0 1 441 3 0 3 | d = shin 3 0 0 5 438 0 2 | e = thigh 21 8 43 0 0 375 2 | f = upperarm 3 16 0 1 0 0 428 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2712 90.9762 % Incorrectly Classified Instances 269 9.0238 % Kappa statistic 0.8944 Mean absolute error 0.0258 Root mean squared error 0.1606 Relative absolute error 10.557 % Root relative squared error 45.9494 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.926 0.017 0.908 0.926 0.917 0.955 chest 0.887 0.013 0.878 0.887 0.882 0.937 forearm 0.853 0.026 0.855 0.853 0.854 0.914 head 0.969 0.003 0.984 0.969 0.976 0.983 shin 0.984 0.004 0.978 0.984 0.981 0.99 thigh 0.808 0.028 0.838 0.808 0.823 0.89 upperarm 0.933 0.015 0.914 0.933 0.924 0.959 waist Weighted Avg. 0.91 0.015 0.909 0.91 0.91 0.947 === Confusion Matrix === a b c d e f g <-- classified as 415 0 10 1 3 17 2 | a = chest 0 259 1 1 0 8 23 | b = forearm 18 6 383 0 0 41 1 | c = head 0 1 2 433 4 1 6 | d = shin 0 0 0 3 442 1 3 | e = thigh 24 8 50 0 0 363 4 | f = upperarm 0 21 2 2 3 2 417 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2773 93.0537 % Incorrectly Classified Instances 207 6.9463 % Kappa statistic 0.9187 Mean absolute error 0.0198 Root mean squared error 0.1409 Relative absolute error 8.1266 % Root relative squared error 40.3153 % Total Number of Instances 2980 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.918 0.012 0.93 0.918 0.924 0.953 chest 0.904 0.01 0.907 0.904 0.905 0.947 forearm 0.897 0.021 0.884 0.897 0.89 0.938 head 0.993 0.001 0.996 0.993 0.994 0.996 shin 0.989 0 0.998 0.989 0.993 0.994 thigh 0.835 0.027 0.847 0.835 0.841 0.904 upperarm 0.969 0.01 0.945 0.969 0.957 0.979 waist Weighted Avg. 0.931 0.012 0.931 0.931 0.93 0.959 === Confusion Matrix === a b c d e f g <-- classified as 412 0 11 0 0 26 0 | a = chest 1 263 1 1 0 6 19 | b = forearm 8 2 402 0 0 35 1 | c = head 0 0 1 444 1 0 1 | d = shin 0 1 0 1 444 0 3 | e = thigh 22 11 40 0 0 375 1 | f = upperarm 0 13 0 0 0 1 433 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 7 FOLD: 0 Correctly Classified Instances 2749 92.2174 % Incorrectly Classified Instances 232 7.7826 % Kappa statistic 0.909 Mean absolute error 0.0222 Root mean squared error 0.1491 Relative absolute error 9.1049 % Root relative squared error 42.6725 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.931 0.013 0.929 0.931 0.93 0.959 chest 0.904 0.01 0.907 0.904 0.906 0.947 forearm 0.85 0.024 0.864 0.85 0.857 0.913 head 0.98 0.002 0.991 0.98 0.985 0.989 shin 0.973 0.002 0.986 0.973 0.98 0.985 thigh 0.855 0.029 0.838 0.855 0.847 0.913 upperarm 0.955 0.011 0.937 0.955 0.946 0.972 waist Weighted Avg. 0.922 0.013 0.922 0.922 0.922 0.955 === Confusion Matrix === a b c d e f g <-- classified as 418 1 10 0 2 16 2 | a = chest 0 264 2 0 1 10 15 | b = forearm 12 7 381 0 0 45 3 | c = head 0 0 2 438 3 0 4 | d = shin 3 0 1 4 436 2 2 | e = thigh 16 3 43 0 0 384 3 | f = upperarm 1 16 2 0 0 1 428 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2759 92.5528 % Incorrectly Classified Instances 222 7.4472 % Kappa statistic 0.9129 Mean absolute error 0.0213 Root mean squared error 0.1459 Relative absolute error 8.7126 % Root relative squared error 41.7436 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.933 0.015 0.917 0.933 0.925 0.959 chest 0.942 0.01 0.913 0.942 0.927 0.966 forearm 0.862 0.024 0.865 0.862 0.864 0.919 head 0.971 0.001 0.993 0.971 0.982 0.985 shin 0.984 0.002 0.991 0.984 0.988 0.991 thigh 0.831 0.029 0.836 0.831 0.834 0.901 upperarm 0.962 0.007 0.96 0.962 0.961 0.977 waist Weighted Avg. 0.926 0.013 0.926 0.926 0.926 0.956 === Confusion Matrix === a b c d e f g <-- classified as 419 0 11 0 1 18 0 | a = chest 1 274 2 0 0 5 9 | b = forearm 14 2 386 0 0 44 2 | c = head 1 3 2 435 2 3 2 | d = shin 3 0 1 1 441 1 1 | e = thigh 19 9 43 1 0 373 4 | f = upperarm 0 12 1 1 1 2 431 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2770 92.9218 % Incorrectly Classified Instances 211 7.0782 % Kappa statistic 0.9172 Mean absolute error 0.0202 Root mean squared error 0.1422 Relative absolute error 8.2809 % Root relative squared error 40.6962 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.922 0.013 0.928 0.922 0.925 0.955 chest 0.918 0.006 0.94 0.918 0.929 0.956 forearm 0.884 0.019 0.89 0.884 0.887 0.932 head 0.967 0.002 0.989 0.967 0.977 0.982 shin 0.973 0.002 0.989 0.973 0.981 0.986 thigh 0.866 0.027 0.849 0.866 0.858 0.92 upperarm 0.971 0.013 0.928 0.971 0.949 0.979 waist Weighted Avg. 0.929 0.012 0.93 0.929 0.929 0.959 === Confusion Matrix === a b c d e f g <-- classified as 414 0 10 0 1 23 1 | a = chest 0 267 0 0 0 4 20 | b = forearm 10 4 396 0 0 37 1 | c = head 3 0 0 433 4 2 6 | d = shin 2 1 0 3 436 2 4 | e = thigh 16 2 39 1 0 389 2 | f = upperarm 1 10 0 1 0 1 435 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2727 91.4794 % Incorrectly Classified Instances 254 8.5206 % Kappa statistic 0.9003 Mean absolute error 0.0243 Root mean squared error 0.156 Relative absolute error 9.9685 % Root relative squared error 44.6509 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.898 0.017 0.904 0.898 0.901 0.94 chest 0.887 0.011 0.896 0.887 0.891 0.938 forearm 0.866 0.023 0.872 0.866 0.869 0.922 head 0.982 0.002 0.987 0.982 0.984 0.99 shin 0.98 0 0.998 0.98 0.989 0.99 thigh 0.835 0.035 0.808 0.835 0.821 0.9 upperarm 0.946 0.011 0.938 0.946 0.942 0.968 waist Weighted Avg. 0.915 0.014 0.915 0.915 0.915 0.95 === Confusion Matrix === a b c d e f g <-- classified as 403 0 17 1 1 26 1 | a = chest 0 258 1 2 0 11 19 | b = forearm 10 6 388 0 0 44 0 | c = head 1 1 1 440 0 1 4 | d = shin 3 0 1 0 439 3 2 | e = thigh 27 7 36 2 0 375 2 | f = upperarm 2 16 1 1 0 4 424 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2744 92.0496 % Incorrectly Classified Instances 237 7.9504 % Kappa statistic 0.907 Mean absolute error 0.0227 Root mean squared error 0.1507 Relative absolute error 9.3013 % Root relative squared error 43.1308 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.924 0.017 0.906 0.924 0.915 0.954 chest 0.893 0.01 0.909 0.893 0.901 0.942 forearm 0.879 0.024 0.864 0.879 0.872 0.927 head 0.984 0.002 0.987 0.984 0.985 0.991 shin 0.98 0.004 0.978 0.98 0.979 0.988 thigh 0.835 0.028 0.839 0.835 0.837 0.903 upperarm 0.938 0.007 0.959 0.938 0.948 0.965 waist Weighted Avg. 0.92 0.013 0.921 0.92 0.921 0.954 === Confusion Matrix === a b c d e f g <-- classified as 415 0 7 0 4 23 0 | a = chest 1 260 1 2 1 9 17 | b = forearm 14 7 394 0 0 33 0 | c = head 0 1 1 441 4 1 0 | d = shin 0 0 0 4 439 4 1 | e = thigh 25 1 48 0 0 375 0 | f = upperarm 3 17 5 0 1 2 420 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2733 91.6806 % Incorrectly Classified Instances 248 8.3194 % Kappa statistic 0.9027 Mean absolute error 0.0238 Root mean squared error 0.1542 Relative absolute error 9.733 % Root relative squared error 44.1204 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.909 0.017 0.903 0.909 0.906 0.946 chest 0.907 0.01 0.904 0.907 0.906 0.948 forearm 0.828 0.02 0.879 0.828 0.853 0.904 head 0.975 0.002 0.986 0.975 0.981 0.987 shin 0.978 0.003 0.982 0.978 0.98 0.987 thigh 0.864 0.031 0.831 0.864 0.847 0.916 upperarm 0.953 0.013 0.93 0.953 0.942 0.97 waist Weighted Avg. 0.917 0.014 0.917 0.917 0.917 0.951 === Confusion Matrix === a b c d e f g <-- classified as 408 0 16 0 1 22 2 | a = chest 0 264 3 0 0 3 21 | b = forearm 18 6 371 0 0 51 2 | c = head 1 2 1 437 2 0 5 | d = shin 3 1 0 4 438 2 0 | e = thigh 20 5 31 1 2 388 2 | f = upperarm 2 14 0 1 3 1 427 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2752 92.318 % Incorrectly Classified Instances 229 7.682 % Kappa statistic 0.9101 Mean absolute error 0.0219 Root mean squared error 0.1482 Relative absolute error 8.9873 % Root relative squared error 42.3966 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.906 0.015 0.916 0.906 0.911 0.946 chest 0.904 0.013 0.88 0.904 0.892 0.945 forearm 0.9 0.022 0.878 0.9 0.889 0.939 head 0.975 0 1 0.975 0.988 0.988 shin 0.993 0.001 0.993 0.993 0.993 0.996 thigh 0.82 0.027 0.844 0.82 0.832 0.896 upperarm 0.958 0.011 0.937 0.958 0.947 0.973 waist Weighted Avg. 0.923 0.013 0.923 0.923 0.923 0.955 === Confusion Matrix === a b c d e f g <-- classified as 406 1 14 0 1 25 1 | a = chest 0 263 3 0 0 9 16 | b = forearm 6 8 404 0 0 31 0 | c = head 0 0 0 437 2 3 6 | d = shin 1 0 0 0 445 0 2 | e = thigh 30 8 39 0 0 368 4 | f = upperarm 0 19 0 0 0 0 429 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2755 92.4187 % Incorrectly Classified Instances 226 7.5813 % Kappa statistic 0.9113 Mean absolute error 0.0217 Root mean squared error 0.1472 Relative absolute error 8.8696 % Root relative squared error 42.118 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.902 0.017 0.904 0.902 0.903 0.942 chest 0.911 0.007 0.933 0.911 0.922 0.952 forearm 0.898 0.021 0.882 0.898 0.89 0.938 head 0.967 0.002 0.991 0.967 0.979 0.982 shin 0.984 0.004 0.98 0.984 0.982 0.99 thigh 0.842 0.027 0.846 0.842 0.844 0.907 upperarm 0.962 0.011 0.939 0.962 0.95 0.975 waist Weighted Avg. 0.924 0.013 0.924 0.924 0.924 0.956 === Confusion Matrix === a b c d e f g <-- classified as 404 0 9 0 0 34 1 | a = chest 1 265 2 0 0 3 20 | b = forearm 13 2 403 0 1 30 0 | c = head 1 1 2 433 7 1 3 | d = shin 3 0 0 3 441 0 1 | e = thigh 24 3 41 0 0 378 3 | f = upperarm 1 13 0 1 1 1 431 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2744 92.0496 % Incorrectly Classified Instances 237 7.9504 % Kappa statistic 0.907 Mean absolute error 0.0227 Root mean squared error 0.1507 Relative absolute error 9.3013 % Root relative squared error 43.1308 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.9 0.015 0.912 0.9 0.906 0.942 chest 0.887 0.012 0.89 0.887 0.888 0.937 forearm 0.897 0.024 0.868 0.897 0.883 0.937 head 0.978 0.001 0.995 0.978 0.986 0.988 shin 0.993 0.003 0.982 0.993 0.988 0.995 thigh 0.822 0.029 0.835 0.822 0.828 0.896 upperarm 0.955 0.009 0.951 0.955 0.953 0.973 waist Weighted Avg. 0.92 0.013 0.921 0.92 0.92 0.954 === Confusion Matrix === a b c d e f g <-- classified as 404 0 14 1 3 23 4 | a = chest 2 258 3 0 1 14 13 | b = forearm 10 1 402 0 0 34 1 | c = head 1 1 1 438 3 2 2 | d = shin 1 0 0 1 446 0 1 | e = thigh 24 12 43 0 0 369 1 | f = upperarm 1 18 0 0 1 0 427 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2746 92.1477 % Incorrectly Classified Instances 234 7.8523 % Kappa statistic 0.9081 Mean absolute error 0.0224 Root mean squared error 0.1498 Relative absolute error 9.1866 % Root relative squared error 42.864 % Total Number of Instances 2980 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.931 0.015 0.917 0.931 0.924 0.958 chest 0.893 0.013 0.881 0.893 0.887 0.94 forearm 0.846 0.02 0.883 0.846 0.864 0.913 head 0.978 0 0.998 0.978 0.988 0.989 shin 0.998 0.002 0.991 0.998 0.994 0.998 thigh 0.86 0.028 0.843 0.86 0.851 0.916 upperarm 0.935 0.013 0.925 0.935 0.93 0.961 waist Weighted Avg. 0.921 0.013 0.922 0.921 0.921 0.954 === Confusion Matrix === a b c d e f g <-- classified as 418 0 10 0 1 19 1 | a = chest 0 260 2 0 0 5 24 | b = forearm 17 6 379 0 0 44 2 | c = head 0 0 1 437 2 1 6 | d = shin 0 0 0 1 448 0 0 | e = thigh 20 5 37 0 0 386 1 | f = upperarm 1 24 0 0 1 3 418 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 8 FOLD: 0 Correctly Classified Instances 2772 92.9889 % Incorrectly Classified Instances 209 7.0111 % Kappa statistic 0.918 Mean absolute error 0.02 Root mean squared error 0.1415 Relative absolute error 8.2024 % Root relative squared error 40.5029 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.935 0.012 0.933 0.935 0.934 0.962 chest 0.897 0.007 0.935 0.897 0.916 0.945 forearm 0.86 0.022 0.875 0.86 0.867 0.919 head 0.98 0.002 0.989 0.98 0.984 0.989 shin 0.987 0.003 0.984 0.987 0.986 0.992 thigh 0.878 0.027 0.851 0.878 0.864 0.925 upperarm 0.962 0.01 0.945 0.962 0.953 0.976 waist Weighted Avg. 0.93 0.012 0.93 0.93 0.93 0.959 === Confusion Matrix === a b c d e f g <-- classified as 420 0 7 0 1 21 0 | a = chest 1 261 5 2 0 2 20 | b = forearm 13 6 386 0 0 43 1 | c = head 0 1 0 438 4 1 3 | d = shin 3 0 0 2 443 0 1 | e = thigh 12 1 41 1 0 394 0 | f = upperarm 1 10 2 0 2 2 430 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2759 92.5528 % Incorrectly Classified Instances 222 7.4472 % Kappa statistic 0.9129 Mean absolute error 0.0213 Root mean squared error 0.1459 Relative absolute error 8.7126 % Root relative squared error 41.7436 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.931 0.016 0.913 0.931 0.922 0.958 chest 0.897 0.01 0.906 0.897 0.902 0.943 forearm 0.886 0.024 0.865 0.886 0.876 0.931 head 0.964 0.001 0.993 0.964 0.978 0.982 shin 0.987 0.002 0.987 0.987 0.987 0.992 thigh 0.84 0.023 0.865 0.84 0.852 0.908 upperarm 0.964 0.01 0.945 0.964 0.955 0.977 waist Weighted Avg. 0.926 0.013 0.926 0.926 0.926 0.956 === Confusion Matrix === a b c d e f g <-- classified as 418 0 13 0 1 16 1 | a = chest 2 261 4 1 0 9 14 | b = forearm 12 6 398 0 0 31 2 | c = head 2 0 2 431 5 2 5 | d = shin 2 0 0 2 442 1 1 | e = thigh 21 6 43 0 0 377 2 | f = upperarm 1 15 0 0 0 0 432 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2723 91.3452 % Incorrectly Classified Instances 258 8.6548 % Kappa statistic 0.8988 Mean absolute error 0.0247 Root mean squared error 0.1573 Relative absolute error 10.1255 % Root relative squared error 45.0011 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.909 0.016 0.911 0.909 0.91 0.946 chest 0.897 0.013 0.885 0.897 0.891 0.942 forearm 0.85 0.023 0.866 0.85 0.858 0.914 head 0.98 0.002 0.987 0.98 0.983 0.989 shin 0.98 0.003 0.984 0.98 0.982 0.989 thigh 0.813 0.034 0.811 0.813 0.812 0.89 upperarm 0.96 0.011 0.941 0.96 0.95 0.975 waist Weighted Avg. 0.913 0.015 0.913 0.913 0.913 0.949 === Confusion Matrix === a b c d e f g <-- classified as 408 2 11 0 2 26 0 | a = chest 0 261 2 2 1 9 16 | b = forearm 11 9 381 0 0 46 1 | c = head 1 0 1 439 2 1 4 | d = shin 2 0 0 2 439 2 3 | e = thigh 25 9 45 2 0 365 3 | f = upperarm 1 14 0 0 2 1 430 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2734 91.7142 % Incorrectly Classified Instances 247 8.2858 % Kappa statistic 0.9031 Mean absolute error 0.0237 Root mean squared error 0.1539 Relative absolute error 9.6938 % Root relative squared error 44.0313 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.911 0.018 0.899 0.911 0.905 0.946 chest 0.921 0.01 0.905 0.921 0.913 0.955 forearm 0.882 0.025 0.862 0.882 0.872 0.928 head 0.969 0.002 0.991 0.969 0.98 0.984 shin 0.982 0.003 0.984 0.982 0.983 0.99 thigh 0.811 0.029 0.831 0.811 0.821 0.891 upperarm 0.946 0.01 0.944 0.946 0.945 0.968 waist Weighted Avg. 0.917 0.014 0.917 0.917 0.917 0.952 === Confusion Matrix === a b c d e f g <-- classified as 409 0 11 0 2 27 0 | a = chest 0 268 3 1 0 3 16 | b = forearm 10 5 395 0 0 38 0 | c = head 1 0 2 434 5 1 5 | d = shin 2 0 0 1 440 4 1 | e = thigh 32 4 45 1 0 364 3 | f = upperarm 1 19 2 1 0 1 424 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2744 92.0496 % Incorrectly Classified Instances 237 7.9504 % Kappa statistic 0.907 Mean absolute error 0.0227 Root mean squared error 0.1507 Relative absolute error 9.3013 % Root relative squared error 43.1308 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.902 0.015 0.912 0.902 0.907 0.943 chest 0.9 0.012 0.891 0.9 0.896 0.944 forearm 0.895 0.025 0.862 0.895 0.878 0.935 head 0.969 0 0.998 0.969 0.983 0.984 shin 0.98 0.002 0.989 0.98 0.984 0.989 thigh 0.833 0.027 0.846 0.833 0.84 0.903 upperarm 0.958 0.011 0.939 0.958 0.948 0.973 waist Weighted Avg. 0.92 0.013 0.921 0.92 0.921 0.954 === Confusion Matrix === a b c d e f g <-- classified as 405 0 18 0 1 23 2 | a = chest 0 262 1 0 0 8 20 | b = forearm 9 5 401 0 0 33 0 | c = head 1 2 3 434 3 1 4 | d = shin 3 1 1 0 439 3 1 | e = thigh 24 10 40 0 0 374 1 | f = upperarm 2 14 1 1 1 0 429 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2756 92.4522 % Incorrectly Classified Instances 225 7.5478 % Kappa statistic 0.9117 Mean absolute error 0.0216 Root mean squared error 0.1469 Relative absolute error 8.8303 % Root relative squared error 42.0247 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.898 0.011 0.933 0.898 0.915 0.943 chest 0.9 0.01 0.903 0.9 0.902 0.945 forearm 0.9 0.024 0.867 0.9 0.883 0.938 head 0.973 0.002 0.991 0.973 0.982 0.986 shin 0.982 0.002 0.987 0.982 0.984 0.99 thigh 0.853 0.028 0.845 0.853 0.849 0.913 upperarm 0.958 0.01 0.943 0.958 0.95 0.974 waist Weighted Avg. 0.925 0.013 0.925 0.925 0.925 0.956 === Confusion Matrix === a b c d e f g <-- classified as 403 0 18 0 2 24 2 | a = chest 0 262 4 1 0 8 16 | b = forearm 6 3 403 0 0 35 1 | c = head 1 3 0 436 4 1 3 | d = shin 0 1 0 3 440 1 3 | e = thigh 21 7 37 0 0 383 1 | f = upperarm 1 14 3 0 0 1 429 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2754 92.3851 % Incorrectly Classified Instances 227 7.6149 % Kappa statistic 0.9109 Mean absolute error 0.0218 Root mean squared error 0.1475 Relative absolute error 8.9088 % Root relative squared error 42.211 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.929 0.017 0.907 0.929 0.917 0.956 chest 0.938 0.009 0.916 0.938 0.927 0.964 forearm 0.868 0.024 0.866 0.868 0.867 0.922 head 0.978 0.002 0.986 0.978 0.982 0.988 shin 0.964 0.003 0.984 0.964 0.974 0.981 thigh 0.844 0.026 0.854 0.844 0.849 0.909 upperarm 0.951 0.008 0.953 0.951 0.952 0.971 waist Weighted Avg. 0.924 0.013 0.924 0.924 0.924 0.955 === Confusion Matrix === a b c d e f g <-- classified as 417 0 13 0 2 16 1 | a = chest 0 273 2 0 0 6 10 | b = forearm 16 4 389 0 0 38 1 | c = head 0 0 2 438 3 2 3 | d = shin 5 0 1 4 432 2 4 | e = thigh 22 3 42 0 1 379 2 | f = upperarm 0 18 0 2 1 1 426 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2735 91.7477 % Incorrectly Classified Instances 246 8.2523 % Kappa statistic 0.9035 Mean absolute error 0.0236 Root mean squared error 0.1536 Relative absolute error 9.6545 % Root relative squared error 43.9421 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.9 0.016 0.908 0.9 0.904 0.942 chest 0.887 0.013 0.884 0.887 0.885 0.937 forearm 0.859 0.018 0.895 0.859 0.877 0.921 head 0.98 0.004 0.98 0.98 0.98 0.988 shin 0.98 0.002 0.987 0.98 0.983 0.989 thigh 0.873 0.031 0.832 0.873 0.852 0.921 upperarm 0.933 0.013 0.929 0.933 0.931 0.96 waist Weighted Avg. 0.917 0.014 0.918 0.917 0.918 0.952 === Confusion Matrix === a b c d e f g <-- classified as 404 0 9 1 4 27 4 | a = chest 0 258 2 0 1 8 22 | b = forearm 18 4 385 0 0 41 0 | c = head 3 1 1 439 1 1 2 | d = shin 0 0 0 7 439 0 2 | e = thigh 18 4 33 0 0 392 2 | f = upperarm 2 25 0 1 0 2 418 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2757 92.4857 % Incorrectly Classified Instances 224 7.5143 % Kappa statistic 0.9121 Mean absolute error 0.0215 Root mean squared error 0.1465 Relative absolute error 8.7909 % Root relative squared error 41.9303 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.935 0.015 0.919 0.935 0.927 0.96 chest 0.904 0.009 0.917 0.904 0.91 0.948 forearm 0.864 0.025 0.858 0.864 0.861 0.919 head 0.984 0.001 0.995 0.984 0.99 0.992 shin 0.991 0.002 0.987 0.991 0.989 0.994 thigh 0.824 0.027 0.845 0.824 0.834 0.899 upperarm 0.964 0.009 0.949 0.964 0.957 0.978 waist Weighted Avg. 0.925 0.013 0.925 0.925 0.925 0.956 === Confusion Matrix === a b c d e f g <-- classified as 419 0 8 1 2 18 0 | a = chest 0 264 5 1 0 6 16 | b = forearm 13 6 387 0 1 40 1 | c = head 1 0 1 441 2 1 2 | d = shin 2 0 0 0 444 1 1 | e = thigh 21 8 46 0 1 370 3 | f = upperarm 0 10 4 0 0 2 432 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2741 91.9799 % Incorrectly Classified Instances 239 8.0201 % Kappa statistic 0.9062 Mean absolute error 0.0229 Root mean squared error 0.1514 Relative absolute error 9.3829 % Root relative squared error 43.3196 % Total Number of Instances 2980 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.915 0.013 0.923 0.915 0.919 0.951 chest 0.89 0.009 0.915 0.89 0.902 0.941 forearm 0.879 0.028 0.847 0.879 0.863 0.926 head 0.973 0.001 0.995 0.973 0.984 0.986 shin 0.987 0.001 0.993 0.987 0.99 0.993 thigh 0.835 0.029 0.835 0.835 0.835 0.903 upperarm 0.949 0.012 0.932 0.949 0.94 0.968 waist Weighted Avg. 0.92 0.014 0.921 0.92 0.92 0.953 === Confusion Matrix === a b c d e f g <-- classified as 410 0 12 0 0 24 2 | a = chest 0 259 1 0 1 10 20 | b = forearm 14 4 394 0 0 36 0 | c = head 0 1 3 436 1 1 6 | d = shin 0 0 0 2 443 2 2 | e = thigh 18 1 54 0 0 375 1 | f = upperarm 2 18 1 0 1 1 424 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 9 FOLD: 0 Correctly Classified Instances 2761 92.6199 % Incorrectly Classified Instances 220 7.3801 % Kappa statistic 0.9136 Mean absolute error 0.0211 Root mean squared error 0.1452 Relative absolute error 8.634 % Root relative squared error 41.5543 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.9 0.013 0.922 0.9 0.911 0.943 chest 0.911 0.006 0.943 0.911 0.927 0.953 forearm 0.902 0.027 0.854 0.902 0.877 0.937 head 0.982 0.002 0.991 0.982 0.987 0.99 shin 0.982 0.002 0.987 0.982 0.984 0.99 thigh 0.837 0.026 0.849 0.837 0.843 0.905 upperarm 0.964 0.009 0.947 0.964 0.956 0.977 waist Weighted Avg. 0.926 0.013 0.927 0.926 0.926 0.957 === Confusion Matrix === a b c d e f g <-- classified as 403 0 18 0 0 27 0 | a = chest 1 266 7 0 1 4 13 | b = forearm 7 1 404 0 0 34 2 | c = head 0 0 1 439 4 0 3 | d = shin 1 0 0 4 441 0 3 | e = thigh 23 5 42 0 0 376 3 | f = upperarm 2 10 1 0 1 2 432 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2762 92.6535 % Incorrectly Classified Instances 219 7.3465 % Kappa statistic 0.914 Mean absolute error 0.021 Root mean squared error 0.1449 Relative absolute error 8.5949 % Root relative squared error 41.4606 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.935 0.015 0.917 0.935 0.926 0.96 chest 0.897 0.008 0.926 0.897 0.911 0.945 forearm 0.859 0.018 0.893 0.859 0.876 0.921 head 0.978 0.001 0.993 0.978 0.985 0.988 shin 0.98 0.003 0.982 0.98 0.981 0.988 thigh 0.86 0.03 0.835 0.86 0.847 0.915 upperarm 0.967 0.011 0.941 0.967 0.954 0.978 waist Weighted Avg. 0.927 0.013 0.927 0.927 0.927 0.957 === Confusion Matrix === a b c d e f g <-- classified as 420 0 11 0 2 14 2 | a = chest 0 261 2 1 0 8 19 | b = forearm 8 5 385 0 0 50 0 | c = head 1 0 0 437 6 1 2 | d = shin 3 0 1 2 440 1 2 | e = thigh 25 5 31 0 0 386 2 | f = upperarm 1 11 1 0 0 2 433 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2725 91.4123 % Incorrectly Classified Instances 256 8.5877 % Kappa statistic 0.8995 Mean absolute error 0.0245 Root mean squared error 0.1566 Relative absolute error 10.047 % Root relative squared error 44.8263 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.898 0.019 0.896 0.898 0.897 0.939 chest 0.911 0.012 0.895 0.911 0.903 0.95 forearm 0.846 0.026 0.852 0.846 0.849 0.91 head 0.98 0.002 0.987 0.98 0.983 0.989 shin 0.982 0.002 0.987 0.982 0.984 0.99 thigh 0.826 0.028 0.841 0.826 0.834 0.899 upperarm 0.955 0.012 0.934 0.955 0.945 0.972 waist Weighted Avg. 0.914 0.014 0.914 0.914 0.914 0.95 === Confusion Matrix === a b c d e f g <-- classified as 403 0 15 0 4 24 3 | a = chest 0 265 3 1 0 3 19 | b = forearm 22 8 379 0 0 39 0 | c = head 0 0 3 439 2 2 2 | d = shin 2 0 0 3 440 2 1 | e = thigh 21 6 44 2 0 371 5 | f = upperarm 2 17 1 0 0 0 428 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2754 92.3851 % Incorrectly Classified Instances 227 7.6149 % Kappa statistic 0.9109 Mean absolute error 0.0218 Root mean squared error 0.1475 Relative absolute error 8.9088 % Root relative squared error 42.211 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.929 0.013 0.929 0.929 0.929 0.958 chest 0.897 0.013 0.882 0.897 0.889 0.942 forearm 0.873 0.017 0.901 0.873 0.887 0.928 head 0.964 0.001 0.995 0.964 0.98 0.982 shin 0.984 0.004 0.978 0.984 0.981 0.99 thigh 0.857 0.03 0.833 0.857 0.845 0.914 upperarm 0.953 0.011 0.938 0.953 0.946 0.971 waist Weighted Avg. 0.924 0.013 0.924 0.924 0.924 0.956 === Confusion Matrix === a b c d e f g <-- classified as 417 0 9 0 3 20 0 | a = chest 0 261 0 0 0 10 20 | b = forearm 6 9 391 0 1 40 1 | c = head 0 4 1 432 3 4 4 | d = shin 3 0 0 1 441 2 1 | e = thigh 22 7 32 1 0 385 2 | f = upperarm 1 15 1 0 3 1 427 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2746 92.1167 % Incorrectly Classified Instances 235 7.8833 % Kappa statistic 0.9078 Mean absolute error 0.0225 Root mean squared error 0.1501 Relative absolute error 9.2228 % Root relative squared error 42.9484 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.927 0.014 0.922 0.927 0.924 0.956 chest 0.883 0.011 0.895 0.883 0.889 0.936 forearm 0.884 0.023 0.872 0.884 0.878 0.931 head 0.971 0.002 0.991 0.971 0.981 0.985 shin 0.984 0.003 0.984 0.984 0.984 0.991 thigh 0.84 0.026 0.853 0.84 0.846 0.907 upperarm 0.946 0.014 0.922 0.946 0.934 0.966 waist Weighted Avg. 0.921 0.013 0.921 0.921 0.921 0.954 === Confusion Matrix === a b c d e f g <-- classified as 416 0 11 0 3 18 1 | a = chest 0 257 1 0 0 11 22 | b = forearm 10 6 396 0 0 34 2 | c = head 2 0 1 435 3 0 7 | d = shin 0 0 0 3 441 2 2 | e = thigh 20 4 45 1 0 377 2 | f = upperarm 3 20 0 0 1 0 424 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2744 92.0496 % Incorrectly Classified Instances 237 7.9504 % Kappa statistic 0.907 Mean absolute error 0.0227 Root mean squared error 0.1507 Relative absolute error 9.3013 % Root relative squared error 43.1308 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.902 0.015 0.914 0.902 0.908 0.943 chest 0.883 0.012 0.892 0.883 0.888 0.936 forearm 0.891 0.025 0.864 0.891 0.877 0.933 head 0.982 0.001 0.993 0.982 0.988 0.99 shin 0.989 0.001 0.993 0.989 0.991 0.994 thigh 0.837 0.028 0.843 0.837 0.84 0.905 upperarm 0.946 0.011 0.936 0.946 0.941 0.967 waist Weighted Avg. 0.92 0.013 0.921 0.92 0.921 0.954 === Confusion Matrix === a b c d e f g <-- classified as 405 1 20 0 1 22 0 | a = chest 1 257 1 2 0 13 17 | b = forearm 11 4 399 0 0 31 3 | c = head 0 0 0 440 2 1 5 | d = shin 1 0 0 1 443 1 2 | e = thigh 25 4 42 0 0 376 2 | f = upperarm 0 22 0 0 0 2 424 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2750 92.2509 % Incorrectly Classified Instances 231 7.7491 % Kappa statistic 0.9093 Mean absolute error 0.0221 Root mean squared error 0.1488 Relative absolute error 9.0658 % Root relative squared error 42.5813 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.935 0.014 0.921 0.935 0.928 0.961 chest 0.89 0.01 0.902 0.89 0.896 0.94 forearm 0.868 0.021 0.88 0.868 0.874 0.924 head 0.971 0.002 0.991 0.971 0.981 0.985 shin 0.978 0.002 0.991 0.978 0.984 0.988 thigh 0.853 0.029 0.838 0.853 0.845 0.912 upperarm 0.951 0.013 0.93 0.951 0.94 0.969 waist Weighted Avg. 0.923 0.013 0.923 0.923 0.923 0.955 === Confusion Matrix === a b c d e f g <-- classified as 420 0 8 0 1 18 2 | a = chest 1 259 1 0 0 10 20 | b = forearm 14 4 389 0 0 41 0 | c = head 2 3 2 435 2 1 3 | d = shin 1 0 0 4 438 2 3 | e = thigh 18 3 41 0 0 383 4 | f = upperarm 0 18 1 0 1 2 426 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2761 92.6199 % Incorrectly Classified Instances 220 7.3801 % Kappa statistic 0.9137 Mean absolute error 0.0211 Root mean squared error 0.1452 Relative absolute error 8.6341 % Root relative squared error 41.5551 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.918 0.016 0.909 0.918 0.914 0.951 chest 0.924 0.01 0.906 0.924 0.915 0.957 forearm 0.884 0.021 0.884 0.884 0.884 0.932 head 0.973 0 0.998 0.973 0.985 0.986 shin 0.991 0.003 0.984 0.991 0.988 0.994 thigh 0.833 0.026 0.852 0.833 0.842 0.904 upperarm 0.96 0.01 0.943 0.96 0.951 0.975 waist Weighted Avg. 0.926 0.012 0.926 0.926 0.926 0.957 === Confusion Matrix === a b c d e f g <-- classified as 412 0 8 1 0 26 2 | a = chest 0 269 1 0 1 5 15 | b = forearm 17 2 396 0 0 32 1 | c = head 1 0 0 436 5 0 6 | d = shin 2 0 0 0 444 1 1 | e = thigh 21 10 43 0 0 374 1 | f = upperarm 0 16 0 0 1 1 430 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2755 92.4187 % Incorrectly Classified Instances 226 7.5813 % Kappa statistic 0.9113 Mean absolute error 0.0217 Root mean squared error 0.1472 Relative absolute error 8.8696 % Root relative squared error 42.118 % Total Number of Instances 2981 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.918 0.015 0.918 0.918 0.918 0.951 chest 0.911 0.011 0.898 0.911 0.904 0.95 forearm 0.862 0.021 0.878 0.862 0.87 0.92 head 0.982 0.002 0.989 0.982 0.985 0.99 shin 0.978 0.002 0.991 0.978 0.984 0.988 thigh 0.862 0.03 0.838 0.862 0.85 0.916 upperarm 0.953 0.008 0.953 0.953 0.953 0.972 waist Weighted Avg. 0.924 0.013 0.925 0.924 0.924 0.956 === Confusion Matrix === a b c d e f g <-- classified as 412 1 9 0 1 25 1 | a = chest 0 265 3 0 0 7 16 | b = forearm 13 9 387 0 0 39 1 | c = head 0 0 2 440 3 1 2 | d = shin 3 1 1 2 438 2 1 | e = thigh 19 5 37 1 0 387 0 | f = upperarm 2 14 2 2 0 1 426 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2742 92.0134 % Incorrectly Classified Instances 238 7.9866 % Kappa statistic 0.9066 Mean absolute error 0.0228 Root mean squared error 0.1511 Relative absolute error 9.3437 % Root relative squared error 43.2288 % Total Number of Instances 2980 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.904 0.017 0.902 0.904 0.903 0.943 chest 0.928 0.007 0.934 0.928 0.931 0.96 forearm 0.893 0.03 0.842 0.893 0.867 0.932 head 0.975 0.001 0.993 0.975 0.984 0.987 shin 0.989 0.004 0.98 0.989 0.984 0.993 thigh 0.808 0.025 0.852 0.808 0.83 0.892 upperarm 0.946 0.01 0.944 0.946 0.945 0.968 waist Weighted Avg. 0.92 0.014 0.92 0.92 0.92 0.953 === Confusion Matrix === a b c d e f g <-- classified as 405 0 13 0 3 24 3 | a = chest 0 270 1 0 0 5 15 | b = forearm 13 4 401 0 0 30 1 | c = head 2 1 2 437 2 1 3 | d = shin 2 0 0 0 443 3 0 | e = thigh 26 3 52 1 1 363 3 | f = upperarm 1 11 7 2 3 0 423 | g = waist ------------------------------------------------------------------------------------------------------ SUBJECT: 3 RUN: 0 FOLD: 0 Correctly Classified Instances 3140 88.1775 % Incorrectly Classified Instances 421 11.8225 % Kappa statistic 0.8621 Mean absolute error 0.0338 Root mean squared error 0.1838 Relative absolute error 13.7929 % Root relative squared error 52.5223 % Total Number of Instances 3561 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.853 0.022 0.868 0.853 0.86 0.916 chest 0.878 0.018 0.888 0.878 0.883 0.93 forearm 0.844 0.028 0.835 0.844 0.84 0.908 head 0.945 0.015 0.914 0.945 0.929 0.965 shin 0.939 0.013 0.923 0.939 0.931 0.963 thigh 0.809 0.028 0.829 0.809 0.819 0.891 upperarm 0.904 0.014 0.913 0.904 0.908 0.945 waist Weighted Avg. 0.882 0.02 0.881 0.882 0.882 0.931 === Confusion Matrix === a b c d e f g <-- classified as 434 5 25 11 7 27 0 | a = chest 5 445 11 3 7 8 28 | b = forearm 22 7 429 6 1 42 1 | c = head 3 5 4 481 9 4 3 | d = shin 8 3 2 9 478 3 6 | e = thigh 26 9 41 12 3 412 6 | f = upperarm 2 27 2 4 13 1 461 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3163 88.8234 % Incorrectly Classified Instances 398 11.1766 % Kappa statistic 0.8696 Mean absolute error 0.0319 Root mean squared error 0.1787 Relative absolute error 13.0394 % Root relative squared error 51.0674 % Total Number of Instances 3561 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.837 0.019 0.878 0.837 0.857 0.909 chest 0.874 0.012 0.925 0.874 0.899 0.931 forearm 0.854 0.025 0.853 0.854 0.853 0.915 head 0.963 0.008 0.953 0.963 0.958 0.977 shin 0.953 0.015 0.915 0.953 0.933 0.969 thigh 0.815 0.035 0.793 0.815 0.804 0.89 upperarm 0.922 0.017 0.902 0.922 0.912 0.952 waist Weighted Avg. 0.888 0.019 0.889 0.888 0.888 0.935 === Confusion Matrix === a b c d e f g <-- classified as 426 5 18 4 9 44 3 | a = chest 8 444 7 4 6 8 31 | b = forearm 23 5 434 0 3 41 2 | c = head 1 2 1 490 6 6 3 | d = shin 4 1 1 5 484 5 8 | e = thigh 22 5 45 9 9 415 4 | f = upperarm 1 18 3 2 12 4 470 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3160 88.7391 % Incorrectly Classified Instances 401 11.2609 % Kappa statistic 0.8686 Mean absolute error 0.0322 Root mean squared error 0.1794 Relative absolute error 13.1377 % Root relative squared error 51.2595 % Total Number of Instances 3561 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.859 0.019 0.881 0.859 0.87 0.92 chest 0.884 0.017 0.894 0.884 0.889 0.933 forearm 0.839 0.025 0.849 0.839 0.844 0.907 head 0.972 0.008 0.952 0.972 0.962 0.982 shin 0.945 0.012 0.928 0.945 0.937 0.966 thigh 0.786 0.033 0.8 0.786 0.793 0.877 upperarm 0.927 0.017 0.903 0.927 0.915 0.955 waist Weighted Avg. 0.887 0.019 0.887 0.887 0.887 0.934 === Confusion Matrix === a b c d e f g <-- classified as 437 3 20 4 4 39 2 | a = chest 0 449 4 4 9 10 32 | b = forearm 25 10 426 3 1 40 3 | c = head 1 0 2 495 7 2 2 | d = shin 5 4 1 8 480 3 7 | e = thigh 27 15 48 4 10 400 5 | f = upperarm 1 21 1 2 6 6 473 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3157 88.6549 % Incorrectly Classified Instances 404 11.3451 % Kappa statistic 0.8676 Mean absolute error 0.0324 Root mean squared error 0.18 Relative absolute error 13.236 % Root relative squared error 51.4509 % Total Number of Instances 3561 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.865 0.025 0.851 0.865 0.858 0.92 chest 0.872 0.012 0.921 0.872 0.896 0.93 forearm 0.847 0.026 0.847 0.847 0.847 0.911 head 0.957 0.007 0.96 0.957 0.959 0.975 shin 0.963 0.012 0.931 0.963 0.947 0.975 thigh 0.786 0.03 0.811 0.786 0.798 0.878 upperarm 0.918 0.02 0.883 0.918 0.9 0.949 waist Weighted Avg. 0.887 0.019 0.886 0.887 0.886 0.934 === Confusion Matrix === a b c d e f g <-- classified as 441 2 25 1 7 33 1 | a = chest 3 442 5 4 5 10 38 | b = forearm 26 5 431 1 1 41 4 | c = head 5 0 4 486 9 1 3 | d = shin 4 0 2 6 489 0 7 | e = thigh 38 11 39 5 7 400 9 | f = upperarm 1 20 3 3 7 8 468 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3182 89.3569 % Incorrectly Classified Instances 379 10.6431 % Kappa statistic 0.8758 Mean absolute error 0.0304 Root mean squared error 0.1744 Relative absolute error 12.4169 % Root relative squared error 49.8336 % Total Number of Instances 3561 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.863 0.024 0.859 0.863 0.861 0.92 chest 0.886 0.014 0.911 0.886 0.898 0.936 forearm 0.843 0.024 0.855 0.843 0.849 0.909 head 0.953 0.008 0.955 0.953 0.954 0.973 shin 0.969 0.014 0.92 0.969 0.943 0.977 thigh 0.827 0.027 0.839 0.827 0.833 0.9 upperarm 0.916 0.014 0.916 0.916 0.916 0.951 waist Weighted Avg. 0.894 0.018 0.893 0.894 0.893 0.938 === Confusion Matrix === a b c d e f g <-- classified as 440 4 27 3 7 27 2 | a = chest 2 449 6 8 7 8 27 | b = forearm 27 6 429 3 4 37 3 | c = head 3 2 2 484 9 6 2 | d = shin 3 4 1 4 492 0 4 | e = thigh 34 9 35 2 3 421 5 | f = upperarm 3 19 2 3 13 3 467 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3136 88.0652 % Incorrectly Classified Instances 425 11.9348 % Kappa statistic 0.8608 Mean absolute error 0.0341 Root mean squared error 0.1847 Relative absolute error 13.924 % Root relative squared error 52.7712 % Total Number of Instances 3561 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.851 0.024 0.854 0.851 0.853 0.913 chest 0.878 0.014 0.912 0.878 0.894 0.932 forearm 0.831 0.028 0.831 0.831 0.831 0.901 head 0.961 0.007 0.959 0.961 0.96 0.977 shin 0.945 0.014 0.92 0.945 0.932 0.966 thigh 0.782 0.034 0.791 0.782 0.787 0.874 upperarm 0.918 0.018 0.897 0.918 0.907 0.95 waist Weighted Avg. 0.881 0.02 0.88 0.881 0.88 0.93 === Confusion Matrix === a b c d e f g <-- classified as 434 5 23 1 5 35 7 | a = chest 5 445 11 4 9 6 27 | b = forearm 26 4 423 3 4 47 2 | c = head 2 1 1 488 7 7 2 | d = shin 7 1 2 5 480 4 9 | e = thigh 33 11 48 5 7 398 7 | f = upperarm 1 21 1 3 10 6 468 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3216 90.3371 % Incorrectly Classified Instances 344 9.6629 % Kappa statistic 0.8873 Mean absolute error 0.0276 Root mean squared error 0.1662 Relative absolute error 11.2734 % Root relative squared error 47.4835 % Total Number of Instances 3560 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.886 0.015 0.908 0.886 0.897 0.936 chest 0.897 0.014 0.914 0.897 0.905 0.942 forearm 0.878 0.026 0.848 0.878 0.863 0.926 head 0.967 0.007 0.959 0.967 0.963 0.98 shin 0.953 0.011 0.933 0.953 0.943 0.971 thigh 0.815 0.025 0.845 0.815 0.83 0.895 upperarm 0.927 0.014 0.917 0.927 0.922 0.957 waist Weighted Avg. 0.903 0.016 0.903 0.903 0.903 0.944 === Confusion Matrix === a b c d e f g <-- classified as 452 3 20 1 6 27 1 | a = chest 4 455 6 3 9 7 23 | b = forearm 15 8 446 0 3 34 2 | c = head 2 1 5 491 4 2 3 | d = shin 4 0 1 9 484 1 9 | e = thigh 21 8 46 6 8 415 5 | f = upperarm 0 23 2 2 5 5 473 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3176 89.2135 % Incorrectly Classified Instances 384 10.7865 % Kappa statistic 0.8742 Mean absolute error 0.0308 Root mean squared error 0.1756 Relative absolute error 12.5843 % Root relative squared error 50.1683 % Total Number of Instances 3560 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.866 0.027 0.843 0.866 0.855 0.92 chest 0.892 0.017 0.899 0.892 0.895 0.937 forearm 0.841 0.021 0.868 0.841 0.854 0.91 head 0.965 0.009 0.95 0.965 0.957 0.978 shin 0.953 0.013 0.926 0.953 0.939 0.97 thigh 0.8 0.027 0.831 0.8 0.815 0.886 upperarm 0.929 0.012 0.926 0.929 0.928 0.958 waist Weighted Avg. 0.892 0.018 0.892 0.892 0.892 0.937 === Confusion Matrix === a b c d e f g <-- classified as 441 2 24 5 10 26 1 | a = chest 6 452 6 2 9 10 22 | b = forearm 31 8 427 1 4 35 2 | c = head 2 3 1 490 4 6 2 | d = shin 5 3 2 6 485 1 7 | e = thigh 37 16 31 10 4 407 4 | f = upperarm 1 19 1 2 8 5 474 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3165 88.9045 % Incorrectly Classified Instances 395 11.0955 % Kappa statistic 0.8706 Mean absolute error 0.0317 Root mean squared error 0.178 Relative absolute error 12.9448 % Root relative squared error 50.8817 % Total Number of Instances 3560 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.864 0.022 0.87 0.864 0.867 0.921 chest 0.848 0.012 0.923 0.848 0.884 0.918 forearm 0.862 0.021 0.873 0.862 0.867 0.921 head 0.941 0.01 0.937 0.941 0.939 0.965 shin 0.961 0.014 0.921 0.961 0.94 0.973 thigh 0.817 0.028 0.832 0.817 0.825 0.895 upperarm 0.929 0.023 0.87 0.929 0.899 0.953 waist Weighted Avg. 0.889 0.019 0.889 0.889 0.889 0.935 === Confusion Matrix === a b c d e f g <-- classified as 440 4 20 8 7 28 2 | a = chest 4 430 6 5 2 12 48 | b = forearm 25 5 438 4 2 34 0 | c = head 3 1 5 478 13 2 6 | d = shin 2 0 1 8 489 3 6 | e = thigh 29 7 31 5 12 416 9 | f = upperarm 3 19 1 2 6 5 474 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3153 88.5674 % Incorrectly Classified Instances 407 11.4326 % Kappa statistic 0.8666 Mean absolute error 0.0327 Root mean squared error 0.1807 Relative absolute error 13.338 % Root relative squared error 51.6489 % Total Number of Instances 3560 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.853 0.019 0.882 0.853 0.867 0.917 chest 0.903 0.022 0.874 0.903 0.888 0.941 forearm 0.825 0.027 0.838 0.825 0.831 0.899 head 0.965 0.008 0.951 0.965 0.958 0.978 shin 0.976 0.01 0.943 0.976 0.959 0.983 thigh 0.788 0.034 0.794 0.788 0.791 0.877 upperarm 0.89 0.014 0.913 0.89 0.902 0.938 waist Weighted Avg. 0.886 0.019 0.885 0.886 0.885 0.933 === Confusion Matrix === a b c d e f g <-- classified as 434 5 26 4 8 30 2 | a = chest 2 458 3 5 4 10 25 | b = forearm 21 12 419 3 2 51 0 | c = head 0 8 2 490 4 2 2 | d = shin 2 1 0 4 497 1 4 | e = thigh 27 14 44 6 7 401 10 | f = upperarm 6 26 6 3 5 10 454 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 1 FOLD: 0 Correctly Classified Instances 3179 89.2727 % Incorrectly Classified Instances 382 10.7273 % Kappa statistic 0.8748 Mean absolute error 0.0306 Root mean squared error 0.1751 Relative absolute error 12.5152 % Root relative squared error 50.0304 % Total Number of Instances 3561 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.876 0.022 0.871 0.876 0.874 0.927 chest 0.888 0.014 0.911 0.888 0.899 0.937 forearm 0.837 0.027 0.837 0.837 0.837 0.905 head 0.951 0.01 0.942 0.951 0.946 0.97 shin 0.959 0.012 0.931 0.959 0.945 0.973 thigh 0.807 0.026 0.839 0.807 0.823 0.891 upperarm 0.931 0.014 0.915 0.931 0.923 0.958 waist Weighted Avg. 0.893 0.018 0.892 0.893 0.892 0.937 === Confusion Matrix === a b c d e f g <-- classified as 447 0 20 5 7 29 2 | a = chest 5 450 10 7 5 6 24 | b = forearm 32 8 425 0 4 35 4 | c = head 4 2 2 483 11 3 3 | d = shin 2 2 0 8 488 1 8 | e = thigh 21 13 49 8 4 411 3 | f = upperarm 2 19 2 2 5 5 475 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3124 87.7282 % Incorrectly Classified Instances 437 12.2718 % Kappa statistic 0.8568 Mean absolute error 0.0351 Root mean squared error 0.1872 Relative absolute error 14.3171 % Root relative squared error 53.511 % Total Number of Instances 3561 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.829 0.022 0.865 0.829 0.847 0.904 chest 0.893 0.015 0.91 0.893 0.901 0.939 forearm 0.819 0.024 0.849 0.819 0.834 0.897 head 0.955 0.011 0.934 0.955 0.944 0.972 shin 0.945 0.016 0.909 0.945 0.927 0.965 thigh 0.806 0.037 0.784 0.806 0.795 0.884 upperarm 0.894 0.019 0.889 0.894 0.891 0.938 waist Weighted Avg. 0.877 0.02 0.877 0.877 0.877 0.928 === Confusion Matrix === a b c d e f g <-- classified as 423 4 27 7 8 40 1 | a = chest 1 453 4 4 8 4 33 | b = forearm 23 9 416 3 3 52 2 | c = head 6 0 4 485 3 5 5 | d = shin 3 1 0 11 481 5 8 | e = thigh 30 9 34 7 11 410 8 | f = upperarm 3 22 5 2 15 7 456 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3194 89.6939 % Incorrectly Classified Instances 367 10.3061 % Kappa statistic 0.8798 Mean absolute error 0.0294 Root mean squared error 0.1716 Relative absolute error 12.0238 % Root relative squared error 49.0383 % Total Number of Instances 3561 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.876 0.022 0.868 0.876 0.872 0.927 chest 0.882 0.015 0.907 0.882 0.894 0.933 forearm 0.846 0.021 0.869 0.846 0.857 0.913 head 0.963 0.005 0.968 0.963 0.965 0.979 shin 0.959 0.01 0.944 0.959 0.951 0.975 thigh 0.817 0.028 0.829 0.817 0.823 0.895 upperarm 0.935 0.019 0.893 0.935 0.914 0.958 waist Weighted Avg. 0.897 0.017 0.897 0.897 0.897 0.94 === Confusion Matrix === a b c d e f g <-- classified as 447 2 17 4 3 32 5 | a = chest 4 447 4 2 10 9 31 | b = forearm 28 7 430 1 2 38 2 | c = head 4 1 2 489 7 2 3 | d = shin 6 0 0 4 488 2 9 | e = thigh 26 8 42 5 5 416 7 | f = upperarm 0 28 0 0 2 3 477 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3143 88.2617 % Incorrectly Classified Instances 418 11.7383 % Kappa statistic 0.8631 Mean absolute error 0.0335 Root mean squared error 0.1831 Relative absolute error 13.6947 % Root relative squared error 52.3348 % Total Number of Instances 3561 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.859 0.021 0.873 0.859 0.866 0.919 chest 0.89 0.016 0.902 0.89 0.896 0.937 forearm 0.841 0.024 0.854 0.841 0.848 0.908 head 0.957 0.01 0.942 0.957 0.949 0.973 shin 0.937 0.013 0.922 0.937 0.93 0.962 thigh 0.782 0.034 0.794 0.782 0.788 0.874 upperarm 0.914 0.019 0.888 0.914 0.9 0.947 waist Weighted Avg. 0.883 0.02 0.882 0.883 0.882 0.932 === Confusion Matrix === a b c d e f g <-- classified as 438 5 17 4 11 33 2 | a = chest 3 451 4 3 3 7 36 | b = forearm 18 4 428 4 4 50 1 | c = head 1 2 2 486 8 5 4 | d = shin 9 2 4 8 476 2 7 | e = thigh 30 16 44 6 6 398 9 | f = upperarm 3 20 2 5 8 6 466 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3143 88.2617 % Incorrectly Classified Instances 418 11.7383 % Kappa statistic 0.8631 Mean absolute error 0.0335 Root mean squared error 0.1831 Relative absolute error 13.6947 % Root relative squared error 52.3348 % Total Number of Instances 3561 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.874 0.027 0.846 0.874 0.86 0.924 chest 0.862 0.015 0.903 0.862 0.882 0.923 forearm 0.835 0.028 0.835 0.835 0.835 0.904 head 0.951 0.006 0.962 0.951 0.956 0.972 shin 0.949 0.014 0.92 0.949 0.934 0.968 thigh 0.798 0.029 0.824 0.798 0.81 0.885 upperarm 0.91 0.019 0.889 0.91 0.899 0.945 waist Weighted Avg. 0.883 0.02 0.883 0.883 0.882 0.932 === Confusion Matrix === a b c d e f g <-- classified as 445 2 26 4 6 25 1 | a = chest 4 438 6 2 10 14 34 | b = forearm 38 5 425 2 0 37 2 | c = head 2 4 4 483 9 4 2 | d = shin 6 2 2 5 482 0 11 | e = thigh 28 10 45 4 8 406 8 | f = upperarm 3 24 1 2 9 7 464 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3177 89.2165 % Incorrectly Classified Instances 384 10.7835 % Kappa statistic 0.8742 Mean absolute error 0.0308 Root mean squared error 0.1755 Relative absolute error 12.5807 % Root relative squared error 50.1612 % Total Number of Instances 3561 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.857 0.021 0.872 0.857 0.864 0.918 chest 0.89 0.014 0.915 0.89 0.902 0.938 forearm 0.843 0.023 0.858 0.843 0.85 0.91 head 0.963 0.01 0.94 0.963 0.951 0.976 shin 0.949 0.015 0.915 0.949 0.931 0.967 thigh 0.823 0.03 0.82 0.823 0.822 0.897 upperarm 0.922 0.013 0.923 0.922 0.922 0.954 waist Weighted Avg. 0.892 0.018 0.892 0.892 0.892 0.937 === Confusion Matrix === a b c d e f g <-- classified as 436 6 27 3 5 31 1 | a = chest 4 452 9 5 10 6 22 | b = forearm 21 5 429 4 2 44 4 | c = head 0 4 1 489 8 2 4 | d = shin 7 0 0 10 482 5 4 | e = thigh 30 10 32 6 8 419 4 | f = upperarm 2 17 2 3 12 4 470 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3177 89.2416 % Incorrectly Classified Instances 383 10.7584 % Kappa statistic 0.8745 Mean absolute error 0.0307 Root mean squared error 0.1753 Relative absolute error 12.5515 % Root relative squared error 50.1029 % Total Number of Instances 3560 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.853 0.019 0.882 0.853 0.867 0.917 chest 0.901 0.017 0.898 0.901 0.9 0.942 forearm 0.862 0.025 0.852 0.862 0.857 0.919 head 0.941 0.005 0.972 0.941 0.956 0.968 shin 0.965 0.012 0.928 0.965 0.946 0.976 thigh 0.806 0.03 0.817 0.806 0.811 0.888 upperarm 0.92 0.017 0.898 0.92 0.909 0.951 waist Weighted Avg. 0.892 0.018 0.892 0.892 0.892 0.937 === Confusion Matrix === a b c d e f g <-- classified as 434 4 24 4 9 31 3 | a = chest 3 457 3 2 3 8 31 | b = forearm 19 6 438 0 1 40 4 | c = head 2 5 4 479 12 3 4 | d = shin 3 2 2 2 490 2 7 | e = thigh 30 11 42 4 8 410 4 | f = upperarm 1 24 1 2 5 8 469 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3151 88.5112 % Incorrectly Classified Instances 409 11.4888 % Kappa statistic 0.866 Mean absolute error 0.0328 Root mean squared error 0.1812 Relative absolute error 13.4036 % Root relative squared error 51.7756 % Total Number of Instances 3560 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.849 0.024 0.857 0.849 0.853 0.913 chest 0.888 0.016 0.902 0.888 0.895 0.936 forearm 0.846 0.024 0.853 0.846 0.85 0.911 head 0.971 0.009 0.95 0.971 0.96 0.981 shin 0.957 0.011 0.936 0.957 0.946 0.973 thigh 0.796 0.035 0.791 0.796 0.793 0.88 upperarm 0.89 0.016 0.904 0.89 0.897 0.937 waist Weighted Avg. 0.885 0.019 0.885 0.885 0.885 0.933 === Confusion Matrix === a b c d e f g <-- classified as 432 5 23 2 7 38 2 | a = chest 5 450 5 2 5 12 28 | b = forearm 21 10 430 5 2 39 1 | c = head 1 1 5 494 5 2 1 | d = shin 6 1 1 6 486 4 4 | e = thigh 36 9 37 8 2 405 12 | f = upperarm 3 23 3 3 12 12 454 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3155 88.6236 % Incorrectly Classified Instances 405 11.3764 % Kappa statistic 0.8673 Mean absolute error 0.0325 Root mean squared error 0.1803 Relative absolute error 13.2725 % Root relative squared error 51.5218 % Total Number of Instances 3560 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.874 0.023 0.866 0.874 0.87 0.926 chest 0.862 0.017 0.895 0.862 0.878 0.923 forearm 0.846 0.026 0.845 0.846 0.846 0.91 head 0.959 0.008 0.951 0.959 0.955 0.975 shin 0.959 0.015 0.915 0.959 0.937 0.972 thigh 0.782 0.029 0.821 0.782 0.801 0.877 upperarm 0.922 0.016 0.906 0.922 0.914 0.953 waist Weighted Avg. 0.886 0.019 0.886 0.886 0.886 0.934 === Confusion Matrix === a b c d e f g <-- classified as 445 2 23 6 7 24 2 | a = chest 3 437 7 5 10 16 29 | b = forearm 22 7 430 5 5 37 2 | c = head 1 3 1 488 7 6 3 | d = shin 5 1 2 5 487 1 7 | e = thigh 36 13 43 3 10 398 6 | f = upperarm 2 25 3 1 6 3 470 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3173 89.1292 % Incorrectly Classified Instances 387 10.8708 % Kappa statistic 0.8732 Mean absolute error 0.0311 Root mean squared error 0.1762 Relative absolute error 12.6826 % Root relative squared error 50.3639 % Total Number of Instances 3560 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.866 0.022 0.866 0.866 0.866 0.922 chest 0.876 0.016 0.901 0.876 0.888 0.93 forearm 0.868 0.024 0.86 0.868 0.864 0.922 head 0.961 0.01 0.938 0.961 0.949 0.975 shin 0.947 0.011 0.932 0.947 0.94 0.968 thigh 0.806 0.028 0.828 0.806 0.817 0.889 upperarm 0.916 0.015 0.91 0.916 0.913 0.95 waist Weighted Avg. 0.891 0.018 0.891 0.891 0.891 0.937 === Confusion Matrix === a b c d e f g <-- classified as 441 8 16 3 7 32 2 | a = chest 3 444 6 8 5 10 31 | b = forearm 21 4 441 2 4 34 2 | c = head 4 1 3 488 6 6 0 | d = shin 4 2 4 9 482 1 7 | e = thigh 35 7 42 5 6 410 4 | f = upperarm 1 27 1 5 7 2 467 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 2 FOLD: 0 Correctly Classified Instances 3194 89.6939 % Incorrectly Classified Instances 367 10.3061 % Kappa statistic 0.8798 Mean absolute error 0.0294 Root mean squared error 0.1716 Relative absolute error 12.0238 % Root relative squared error 49.0383 % Total Number of Instances 3561 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.865 0.019 0.884 0.865 0.874 0.923 chest 0.892 0.014 0.911 0.892 0.901 0.939 forearm 0.85 0.022 0.867 0.85 0.859 0.914 head 0.953 0.007 0.958 0.953 0.956 0.973 shin 0.959 0.012 0.931 0.959 0.945 0.973 thigh 0.825 0.031 0.814 0.825 0.82 0.897 upperarm 0.935 0.015 0.912 0.935 0.924 0.96 waist Weighted Avg. 0.897 0.017 0.897 0.897 0.897 0.94 === Confusion Matrix === a b c d e f g <-- classified as 441 3 18 3 7 36 2 | a = chest 7 452 6 4 8 7 23 | b = forearm 19 8 432 2 2 42 3 | c = head 3 2 5 485 9 3 2 | d = shin 4 1 1 7 487 1 7 | e = thigh 20 16 34 4 6 420 9 | f = upperarm 5 14 2 1 4 7 477 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3211 90.1713 % Incorrectly Classified Instances 350 9.8287 % Kappa statistic 0.8853 Mean absolute error 0.0281 Root mean squared error 0.1676 Relative absolute error 11.4668 % Root relative squared error 47.8891 % Total Number of Instances 3561 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.89 0.022 0.873 0.89 0.882 0.934 chest 0.89 0.012 0.924 0.89 0.907 0.939 forearm 0.862 0.019 0.881 0.862 0.872 0.921 head 0.959 0.008 0.951 0.959 0.955 0.975 shin 0.955 0.011 0.936 0.955 0.945 0.972 thigh 0.835 0.026 0.845 0.835 0.84 0.905 upperarm 0.922 0.017 0.9 0.922 0.911 0.952 waist Weighted Avg. 0.902 0.016 0.902 0.902 0.902 0.943 === Confusion Matrix === a b c d e f g <-- classified as 454 0 22 6 5 22 1 | a = chest 2 451 2 3 7 6 36 | b = forearm 20 7 438 2 2 37 2 | c = head 6 2 4 488 4 5 0 | d = shin 7 2 1 3 485 2 8 | e = thigh 30 9 27 8 5 425 5 | f = upperarm 1 17 3 3 10 6 470 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3158 88.683 % Incorrectly Classified Instances 403 11.317 % Kappa statistic 0.868 Mean absolute error 0.0323 Root mean squared error 0.1798 Relative absolute error 13.2032 % Root relative squared error 51.3872 % Total Number of Instances 3561 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.871 0.021 0.874 0.871 0.872 0.925 chest 0.87 0.014 0.909 0.87 0.889 0.928 forearm 0.841 0.026 0.844 0.841 0.842 0.907 head 0.961 0.008 0.951 0.961 0.956 0.976 shin 0.953 0.017 0.901 0.953 0.926 0.968 thigh 0.794 0.032 0.805 0.794 0.799 0.881 upperarm 0.92 0.013 0.921 0.92 0.921 0.953 waist Weighted Avg. 0.887 0.019 0.887 0.887 0.887 0.934 === Confusion Matrix === a b c d e f g <-- classified as 444 4 19 2 8 32 1 | a = chest 8 441 8 6 8 7 29 | b = forearm 18 4 427 2 1 55 1 | c = head 1 3 3 488 12 0 1 | d = shin 10 2 1 6 485 1 4 | e = thigh 25 10 48 6 12 404 4 | f = upperarm 2 21 0 3 12 3 469 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3164 88.8514 % Incorrectly Classified Instances 397 11.1486 % Kappa statistic 0.8699 Mean absolute error 0.0319 Root mean squared error 0.1785 Relative absolute error 13.0067 % Root relative squared error 51.0032 % Total Number of Instances 3561 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.88 0.02 0.88 0.88 0.88 0.93 chest 0.87 0.018 0.889 0.87 0.879 0.926 forearm 0.856 0.025 0.85 0.856 0.853 0.916 head 0.955 0.008 0.951 0.955 0.953 0.973 shin 0.945 0.01 0.943 0.945 0.944 0.968 thigh 0.794 0.026 0.836 0.794 0.815 0.884 upperarm 0.92 0.023 0.869 0.92 0.893 0.948 waist Weighted Avg. 0.889 0.019 0.888 0.889 0.888 0.935 === Confusion Matrix === a b c d e f g <-- classified as 449 6 20 5 6 24 0 | a = chest 2 441 5 3 5 12 39 | b = forearm 19 8 435 5 3 33 5 | c = head 2 2 4 485 5 3 7 | d = shin 6 1 2 7 481 2 10 | e = thigh 30 11 44 4 6 404 10 | f = upperarm 2 27 2 1 4 5 469 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3168 88.9638 % Incorrectly Classified Instances 393 11.0362 % Kappa statistic 0.8712 Mean absolute error 0.0315 Root mean squared error 0.1776 Relative absolute error 12.8756 % Root relative squared error 50.7456 % Total Number of Instances 3561 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.853 0.022 0.865 0.853 0.859 0.915 chest 0.909 0.017 0.901 0.909 0.905 0.946 forearm 0.831 0.025 0.847 0.831 0.839 0.903 head 0.957 0.007 0.959 0.957 0.958 0.975 shin 0.955 0.012 0.927 0.955 0.941 0.971 thigh 0.806 0.032 0.809 0.806 0.807 0.887 upperarm 0.918 0.014 0.918 0.918 0.918 0.952 waist Weighted Avg. 0.89 0.018 0.889 0.89 0.889 0.936 === Confusion Matrix === a b c d e f g <-- classified as 434 4 29 4 8 28 2 | a = chest 3 462 4 3 5 10 21 | b = forearm 29 8 422 1 4 44 0 | c = head 2 3 2 486 6 5 4 | d = shin 4 2 2 6 486 2 7 | e = thigh 29 10 37 5 10 410 8 | f = upperarm 1 24 2 2 5 8 468 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3141 88.2056 % Incorrectly Classified Instances 420 11.7944 % Kappa statistic 0.8624 Mean absolute error 0.0337 Root mean squared error 0.1836 Relative absolute error 13.7602 % Root relative squared error 52.4599 % Total Number of Instances 3561 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.861 0.021 0.873 0.861 0.866 0.92 chest 0.898 0.019 0.889 0.898 0.893 0.939 forearm 0.829 0.027 0.839 0.829 0.834 0.901 head 0.953 0.011 0.936 0.953 0.944 0.971 shin 0.947 0.015 0.913 0.947 0.93 0.966 thigh 0.778 0.028 0.822 0.778 0.799 0.875 upperarm 0.91 0.017 0.897 0.91 0.904 0.946 waist Weighted Avg. 0.882 0.02 0.881 0.882 0.881 0.931 === Confusion Matrix === a b c d e f g <-- classified as 438 6 25 5 6 26 3 | a = chest 3 456 2 5 9 5 28 | b = forearm 26 5 421 3 4 46 3 | c = head 2 3 2 484 9 6 2 | d = shin 3 4 4 7 482 1 8 | e = thigh 29 10 47 8 10 396 9 | f = upperarm 1 29 1 5 8 2 464 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3172 89.1011 % Incorrectly Classified Instances 388 10.8989 % Kappa statistic 0.8728 Mean absolute error 0.0311 Root mean squared error 0.1765 Relative absolute error 12.7154 % Root relative squared error 50.4289 % Total Number of Instances 3560 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.857 0.02 0.879 0.857 0.868 0.918 chest 0.864 0.017 0.892 0.864 0.878 0.923 forearm 0.857 0.026 0.845 0.857 0.851 0.915 head 0.967 0.007 0.959 0.967 0.963 0.98 shin 0.965 0.01 0.944 0.965 0.954 0.978 thigh 0.819 0.028 0.829 0.819 0.824 0.896 upperarm 0.91 0.019 0.887 0.91 0.898 0.945 waist Weighted Avg. 0.891 0.018 0.891 0.891 0.891 0.936 === Confusion Matrix === a b c d e f g <-- classified as 436 5 24 1 11 31 1 | a = chest 1 438 12 0 4 11 41 | b = forearm 24 10 436 5 1 31 2 | c = head 2 1 1 491 3 6 4 | d = shin 5 2 1 4 490 0 6 | e = thigh 25 13 39 8 2 417 5 | f = upperarm 3 22 3 3 8 7 464 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3153 88.5674 % Incorrectly Classified Instances 407 11.4326 % Kappa statistic 0.8666 Mean absolute error 0.0327 Root mean squared error 0.1807 Relative absolute error 13.338 % Root relative squared error 51.6489 % Total Number of Instances 3560 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.831 0.025 0.846 0.831 0.838 0.903 chest 0.884 0.012 0.922 0.884 0.902 0.936 forearm 0.864 0.025 0.853 0.864 0.859 0.92 head 0.941 0.007 0.956 0.941 0.948 0.967 shin 0.949 0.013 0.922 0.949 0.935 0.968 thigh 0.806 0.032 0.807 0.806 0.806 0.887 upperarm 0.925 0.018 0.896 0.925 0.91 0.954 waist Weighted Avg. 0.886 0.019 0.886 0.886 0.886 0.933 === Confusion Matrix === a b c d e f g <-- classified as 423 6 26 6 7 36 5 | a = chest 3 448 4 3 11 11 27 | b = forearm 25 6 440 0 2 34 2 | c = head 2 2 3 478 8 8 7 | d = shin 7 0 0 10 482 4 5 | e = thigh 38 5 42 2 3 410 9 | f = upperarm 2 19 1 1 10 5 472 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3139 88.1742 % Incorrectly Classified Instances 421 11.8258 % Kappa statistic 0.862 Mean absolute error 0.0338 Root mean squared error 0.1838 Relative absolute error 13.7968 % Root relative squared error 52.5297 % Total Number of Instances 3560 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.833 0.023 0.858 0.833 0.845 0.905 chest 0.87 0.011 0.93 0.87 0.899 0.93 forearm 0.857 0.027 0.84 0.857 0.848 0.915 head 0.963 0.011 0.933 0.963 0.948 0.976 shin 0.959 0.015 0.912 0.959 0.935 0.972 thigh 0.782 0.03 0.812 0.782 0.797 0.876 upperarm 0.91 0.02 0.884 0.91 0.897 0.945 waist Weighted Avg. 0.882 0.02 0.881 0.882 0.881 0.931 === Confusion Matrix === a b c d e f g <-- classified as 424 2 22 7 12 35 7 | a = chest 5 441 7 6 11 9 28 | b = forearm 27 1 436 2 2 37 4 | c = head 2 4 1 489 8 1 3 | d = shin 1 1 0 7 487 1 11 | e = thigh 33 6 50 8 6 398 8 | f = upperarm 2 19 3 5 8 9 464 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3131 87.9494 % Incorrectly Classified Instances 429 12.0506 % Kappa statistic 0.8594 Mean absolute error 0.0344 Root mean squared error 0.1856 Relative absolute error 14.059 % Root relative squared error 53.0264 % Total Number of Instances 3560 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.87 0.025 0.855 0.87 0.863 0.923 chest 0.862 0.019 0.885 0.862 0.873 0.922 forearm 0.837 0.029 0.825 0.837 0.831 0.904 head 0.967 0.008 0.955 0.967 0.961 0.98 shin 0.943 0.013 0.925 0.943 0.934 0.965 thigh 0.78 0.029 0.82 0.78 0.8 0.876 upperarm 0.898 0.019 0.888 0.898 0.893 0.94 waist Weighted Avg. 0.879 0.02 0.879 0.879 0.879 0.93 === Confusion Matrix === a b c d e f g <-- classified as 443 1 24 2 4 33 2 | a = chest 8 437 11 4 6 6 35 | b = forearm 24 9 425 3 1 42 4 | c = head 2 4 2 492 7 1 1 | d = shin 4 1 4 7 479 3 10 | e = thigh 34 14 46 5 7 397 6 | f = upperarm 3 28 3 2 14 2 458 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 3 FOLD: 0 Correctly Classified Instances 3171 89.048 % Incorrectly Classified Instances 390 10.952 % Kappa statistic 0.8722 Mean absolute error 0.0313 Root mean squared error 0.1769 Relative absolute error 12.7773 % Root relative squared error 50.5516 % Total Number of Instances 3561 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.861 0.022 0.866 0.861 0.863 0.919 chest 0.897 0.016 0.903 0.897 0.9 0.941 forearm 0.853 0.023 0.863 0.853 0.858 0.915 head 0.963 0.012 0.931 0.963 0.947 0.975 shin 0.947 0.015 0.911 0.947 0.929 0.966 thigh 0.794 0.025 0.84 0.794 0.816 0.884 upperarm 0.92 0.014 0.914 0.92 0.917 0.953 waist Weighted Avg. 0.89 0.018 0.89 0.89 0.89 0.936 === Confusion Matrix === a b c d e f g <-- classified as 439 2 21 7 7 31 3 | a = chest 3 455 6 2 7 7 27 | b = forearm 25 9 434 4 4 29 4 | c = head 2 4 0 489 8 3 2 | d = shin 6 2 3 9 481 1 6 | e = thigh 31 11 39 12 10 404 2 | f = upperarm 1 21 0 2 11 6 469 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3148 88.4021 % Incorrectly Classified Instances 413 11.5979 % Kappa statistic 0.8647 Mean absolute error 0.0331 Root mean squared error 0.182 Relative absolute error 13.5309 % Root relative squared error 52.0209 % Total Number of Instances 3561 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.859 0.027 0.842 0.859 0.85 0.916 chest 0.892 0.014 0.913 0.892 0.902 0.939 forearm 0.835 0.025 0.85 0.835 0.842 0.905 head 0.937 0.008 0.95 0.937 0.944 0.964 shin 0.943 0.014 0.919 0.943 0.931 0.965 thigh 0.786 0.032 0.803 0.786 0.794 0.877 upperarm 0.937 0.016 0.909 0.937 0.923 0.961 waist Weighted Avg. 0.884 0.019 0.884 0.884 0.884 0.932 === Confusion Matrix === a b c d e f g <-- classified as 438 2 25 3 7 33 2 | a = chest 7 452 7 5 7 4 25 | b = forearm 22 7 425 3 3 49 0 | c = head 4 2 4 476 9 7 6 | d = shin 8 2 3 6 479 3 7 | e = thigh 40 15 34 4 8 400 8 | f = upperarm 1 15 2 4 8 2 478 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3174 89.1323 % Incorrectly Classified Instances 387 10.8677 % Kappa statistic 0.8732 Mean absolute error 0.0311 Root mean squared error 0.1762 Relative absolute error 12.679 % Root relative squared error 50.3568 % Total Number of Instances 3561 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.861 0.022 0.868 0.861 0.864 0.919 chest 0.901 0.016 0.901 0.901 0.901 0.943 forearm 0.801 0.023 0.855 0.801 0.827 0.889 head 0.972 0.005 0.972 0.972 0.972 0.984 shin 0.967 0.012 0.932 0.967 0.949 0.977 thigh 0.819 0.036 0.793 0.819 0.806 0.892 upperarm 0.918 0.014 0.918 0.918 0.918 0.952 waist Weighted Avg. 0.891 0.018 0.891 0.891 0.891 0.937 === Confusion Matrix === a b c d e f g <-- classified as 439 2 21 3 10 34 1 | a = chest 6 457 0 2 5 10 27 | b = forearm 27 14 407 3 1 54 2 | c = head 2 1 0 494 6 4 1 | d = shin 5 2 2 2 492 1 5 | e = thigh 24 10 44 3 5 417 6 | f = upperarm 3 21 2 1 9 6 468 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3131 87.9247 % Incorrectly Classified Instances 430 12.0753 % Kappa statistic 0.8591 Mean absolute error 0.0345 Root mean squared error 0.1857 Relative absolute error 14.0878 % Root relative squared error 53.0807 % Total Number of Instances 3561 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.857 0.022 0.865 0.857 0.861 0.917 chest 0.856 0.018 0.888 0.856 0.871 0.919 forearm 0.848 0.03 0.824 0.848 0.836 0.909 head 0.943 0.009 0.945 0.943 0.944 0.967 shin 0.935 0.009 0.944 0.935 0.94 0.963 thigh 0.794 0.029 0.819 0.794 0.806 0.882 upperarm 0.922 0.023 0.87 0.922 0.895 0.949 waist Weighted Avg. 0.879 0.02 0.879 0.879 0.879 0.93 === Confusion Matrix === a b c d e f g <-- classified as 437 8 27 4 6 23 5 | a = chest 4 434 10 3 7 11 38 | b = forearm 27 6 431 1 0 42 1 | c = head 5 1 6 479 7 5 5 | d = shin 6 2 2 9 476 3 11 | e = thigh 24 14 44 9 4 404 10 | f = upperarm 2 24 3 2 4 5 470 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3161 88.7672 % Incorrectly Classified Instances 400 11.2328 % Kappa statistic 0.8689 Mean absolute error 0.0321 Root mean squared error 0.1791 Relative absolute error 13.1049 % Root relative squared error 51.1956 % Total Number of Instances 3561 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.882 0.027 0.844 0.882 0.863 0.927 chest 0.862 0.015 0.903 0.862 0.882 0.923 forearm 0.829 0.021 0.87 0.829 0.849 0.904 head 0.957 0.007 0.957 0.957 0.957 0.975 shin 0.947 0.013 0.925 0.947 0.936 0.967 thigh 0.809 0.03 0.816 0.809 0.813 0.889 upperarm 0.927 0.017 0.899 0.927 0.913 0.955 waist Weighted Avg. 0.888 0.019 0.888 0.888 0.887 0.934 === Confusion Matrix === a b c d e f g <-- classified as 449 3 12 3 6 36 0 | a = chest 6 438 9 2 11 11 31 | b = forearm 34 6 421 2 1 40 4 | c = head 2 3 1 486 8 2 6 | d = shin 10 0 1 8 482 1 7 | e = thigh 30 9 37 6 10 412 5 | f = upperarm 1 26 3 1 3 3 473 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3180 89.3008 % Incorrectly Classified Instances 381 10.6992 % Kappa statistic 0.8752 Mean absolute error 0.0306 Root mean squared error 0.1748 Relative absolute error 12.4825 % Root relative squared error 49.9649 % Total Number of Instances 3561 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.853 0.021 0.873 0.853 0.863 0.916 chest 0.884 0.012 0.922 0.884 0.903 0.936 forearm 0.86 0.023 0.862 0.86 0.861 0.919 head 0.974 0.01 0.939 0.974 0.957 0.982 shin 0.953 0.012 0.929 0.953 0.941 0.97 thigh 0.807 0.03 0.819 0.807 0.813 0.889 upperarm 0.92 0.016 0.904 0.92 0.912 0.952 waist Weighted Avg. 0.893 0.018 0.893 0.893 0.893 0.938 === Confusion Matrix === a b c d e f g <-- classified as 434 4 24 7 3 33 4 | a = chest 5 449 2 10 6 8 28 | b = forearm 16 3 437 2 2 43 5 | c = head 2 0 1 495 9 0 1 | d = shin 5 3 2 5 485 2 7 | e = thigh 32 7 39 6 9 411 5 | f = upperarm 3 21 2 2 8 5 469 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3163 88.8483 % Incorrectly Classified Instances 397 11.1517 % Kappa statistic 0.8699 Mean absolute error 0.0319 Root mean squared error 0.1785 Relative absolute error 13.0103 % Root relative squared error 51.0104 % Total Number of Instances 3560 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.89 0.018 0.893 0.89 0.892 0.936 chest 0.858 0.018 0.886 0.858 0.872 0.92 forearm 0.854 0.023 0.863 0.854 0.859 0.916 head 0.959 0.009 0.948 0.959 0.953 0.975 shin 0.967 0.013 0.923 0.967 0.944 0.977 thigh 0.809 0.031 0.813 0.809 0.811 0.889 upperarm 0.882 0.018 0.891 0.882 0.887 0.932 waist Weighted Avg. 0.888 0.019 0.888 0.888 0.888 0.935 === Confusion Matrix === a b c d e f g <-- classified as 453 2 19 5 7 22 1 | a = chest 3 435 6 1 6 16 40 | b = forearm 16 7 434 4 4 41 2 | c = head 2 1 2 488 6 5 5 | d = shin 1 2 0 8 491 3 3 | e = thigh 27 16 39 6 5 412 4 | f = upperarm 5 28 3 3 13 8 450 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3162 88.8202 % Incorrectly Classified Instances 398 11.1798 % Kappa statistic 0.8696 Mean absolute error 0.0319 Root mean squared error 0.1787 Relative absolute error 13.0431 % Root relative squared error 51.0746 % Total Number of Instances 3560 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.851 0.022 0.866 0.851 0.858 0.914 chest 0.878 0.014 0.91 0.878 0.894 0.932 forearm 0.856 0.029 0.829 0.856 0.842 0.913 head 0.957 0.005 0.97 0.957 0.963 0.976 shin 0.957 0.01 0.938 0.957 0.947 0.973 thigh 0.798 0.031 0.809 0.798 0.803 0.883 upperarm 0.922 0.018 0.897 0.922 0.909 0.952 waist Weighted Avg. 0.888 0.019 0.888 0.888 0.888 0.935 === Confusion Matrix === a b c d e f g <-- classified as 433 6 27 0 2 40 1 | a = chest 4 445 10 4 5 7 32 | b = forearm 25 5 435 2 2 37 2 | c = head 3 2 3 487 7 5 2 | d = shin 4 3 0 3 486 2 10 | e = thigh 30 6 47 6 7 406 7 | f = upperarm 1 22 3 0 9 5 470 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3178 89.2697 % Incorrectly Classified Instances 382 10.7303 % Kappa statistic 0.8748 Mean absolute error 0.0307 Root mean squared error 0.1751 Relative absolute error 12.5187 % Root relative squared error 50.0374 % Total Number of Instances 3560 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.861 0.019 0.883 0.861 0.872 0.921 chest 0.882 0.014 0.91 0.882 0.896 0.934 forearm 0.878 0.026 0.85 0.878 0.864 0.926 head 0.963 0.01 0.94 0.963 0.951 0.976 shin 0.963 0.013 0.923 0.963 0.942 0.975 thigh 0.784 0.025 0.842 0.784 0.812 0.88 upperarm 0.92 0.018 0.897 0.92 0.908 0.951 waist Weighted Avg. 0.893 0.018 0.892 0.893 0.892 0.937 === Confusion Matrix === a b c d e f g <-- classified as 438 3 20 7 11 26 4 | a = chest 2 447 4 4 9 13 28 | b = forearm 21 7 446 3 2 27 2 | c = head 2 4 2 490 5 2 4 | d = shin 2 1 2 7 489 2 5 | e = thigh 29 8 49 7 6 399 11 | f = upperarm 2 21 2 3 8 5 469 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3164 88.8764 % Incorrectly Classified Instances 396 11.1236 % Kappa statistic 0.8702 Mean absolute error 0.0318 Root mean squared error 0.1783 Relative absolute error 12.9775 % Root relative squared error 50.9461 % Total Number of Instances 3560 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.855 0.022 0.868 0.855 0.861 0.916 chest 0.893 0.015 0.908 0.893 0.901 0.939 forearm 0.864 0.026 0.849 0.864 0.857 0.919 head 0.951 0.009 0.947 0.951 0.949 0.971 shin 0.959 0.011 0.933 0.959 0.946 0.974 thigh 0.79 0.028 0.824 0.79 0.806 0.881 upperarm 0.91 0.019 0.889 0.91 0.899 0.945 waist Weighted Avg. 0.889 0.019 0.888 0.889 0.888 0.935 === Confusion Matrix === a b c d e f g <-- classified as 435 4 24 4 10 31 1 | a = chest 2 453 3 6 2 8 33 | b = forearm 21 2 440 2 0 39 5 | c = head 3 5 6 483 9 1 1 | d = shin 2 1 1 6 487 3 8 | e = thigh 32 14 43 3 5 402 10 | f = upperarm 6 20 1 6 9 4 464 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 4 FOLD: 0 Correctly Classified Instances 3154 88.5706 % Incorrectly Classified Instances 407 11.4294 % Kappa statistic 0.8667 Mean absolute error 0.0327 Root mean squared error 0.1807 Relative absolute error 13.3343 % Root relative squared error 51.6416 % Total Number of Instances 3561 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.857 0.024 0.858 0.857 0.857 0.916 chest 0.88 0.013 0.916 0.88 0.897 0.933 forearm 0.839 0.025 0.849 0.839 0.844 0.907 head 0.941 0.007 0.96 0.941 0.95 0.967 shin 0.953 0.01 0.942 0.953 0.947 0.971 thigh 0.79 0.034 0.794 0.79 0.792 0.878 upperarm 0.941 0.021 0.882 0.941 0.911 0.96 waist Weighted Avg. 0.886 0.019 0.886 0.886 0.886 0.933 === Confusion Matrix === a b c d e f g <-- classified as 436 3 21 2 5 37 5 | a = chest 5 446 5 1 7 8 35 | b = forearm 25 6 427 1 2 46 2 | c = head 5 7 0 479 5 6 7 | d = shin 2 1 2 8 484 3 8 | e = thigh 35 11 44 5 5 402 7 | f = upperarm 0 13 4 3 6 4 480 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3161 88.7672 % Incorrectly Classified Instances 400 11.2328 % Kappa statistic 0.869 Mean absolute error 0.0321 Root mean squared error 0.1791 Relative absolute error 13.1049 % Root relative squared error 51.1956 % Total Number of Instances 3561 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.882 0.021 0.875 0.882 0.879 0.931 chest 0.884 0.015 0.909 0.884 0.896 0.934 forearm 0.857 0.022 0.869 0.857 0.863 0.917 head 0.951 0.008 0.953 0.951 0.952 0.972 shin 0.937 0.014 0.919 0.937 0.928 0.962 thigh 0.788 0.035 0.789 0.788 0.789 0.876 upperarm 0.916 0.017 0.9 0.916 0.908 0.949 waist Weighted Avg. 0.888 0.019 0.888 0.888 0.888 0.934 === Confusion Matrix === a b c d e f g <-- classified as 449 3 15 1 3 37 1 | a = chest 6 448 3 6 8 10 26 | b = forearm 18 2 436 2 1 48 2 | c = head 3 2 4 484 9 6 1 | d = shin 8 1 1 8 476 3 11 | e = thigh 26 14 41 4 12 401 11 | f = upperarm 3 23 2 3 9 3 467 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3164 88.8514 % Incorrectly Classified Instances 397 11.1486 % Kappa statistic 0.8699 Mean absolute error 0.0319 Root mean squared error 0.1785 Relative absolute error 13.0067 % Root relative squared error 51.0032 % Total Number of Instances 3561 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.862 0.022 0.868 0.862 0.865 0.92 chest 0.88 0.014 0.91 0.88 0.895 0.933 forearm 0.825 0.021 0.868 0.825 0.846 0.902 head 0.947 0.006 0.964 0.947 0.955 0.97 shin 0.951 0.012 0.927 0.951 0.939 0.969 thigh 0.831 0.036 0.792 0.831 0.811 0.897 upperarm 0.924 0.018 0.895 0.924 0.909 0.953 waist Weighted Avg. 0.889 0.019 0.889 0.889 0.889 0.935 === Confusion Matrix === a b c d e f g <-- classified as 439 2 17 5 8 36 2 | a = chest 3 446 6 2 7 10 33 | b = forearm 21 7 420 4 4 51 2 | c = head 4 1 6 481 9 5 2 | d = shin 8 4 0 2 484 2 9 | e = thigh 27 12 32 4 4 423 7 | f = upperarm 4 18 3 1 6 7 471 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3162 88.7953 % Incorrectly Classified Instances 399 11.2047 % Kappa statistic 0.8693 Mean absolute error 0.032 Root mean squared error 0.1789 Relative absolute error 13.0722 % Root relative squared error 51.1316 % Total Number of Instances 3561 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.849 0.023 0.863 0.849 0.856 0.913 chest 0.884 0.015 0.905 0.884 0.894 0.934 forearm 0.837 0.025 0.847 0.837 0.842 0.906 head 0.969 0.009 0.948 0.969 0.958 0.98 shin 0.969 0.012 0.93 0.969 0.949 0.978 thigh 0.796 0.031 0.812 0.796 0.804 0.882 upperarm 0.914 0.016 0.907 0.914 0.91 0.949 waist Weighted Avg. 0.888 0.019 0.887 0.888 0.887 0.935 === Confusion Matrix === a b c d e f g <-- classified as 433 4 20 5 11 34 3 | a = chest 3 448 8 0 5 11 32 | b = forearm 28 8 425 6 1 40 0 | c = head 4 0 2 492 4 2 4 | d = shin 3 3 0 4 493 0 6 | e = thigh 30 12 42 9 8 405 3 | f = upperarm 1 20 5 3 8 7 466 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3157 88.6549 % Incorrectly Classified Instances 404 11.3451 % Kappa statistic 0.8676 Mean absolute error 0.0324 Root mean squared error 0.18 Relative absolute error 13.236 % Root relative squared error 51.4509 % Total Number of Instances 3561 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.825 0.018 0.883 0.825 0.853 0.904 chest 0.872 0.017 0.895 0.872 0.883 0.927 forearm 0.854 0.026 0.846 0.854 0.85 0.914 head 0.965 0.008 0.953 0.965 0.959 0.978 shin 0.943 0.014 0.92 0.943 0.931 0.965 thigh 0.831 0.033 0.809 0.831 0.82 0.899 upperarm 0.916 0.017 0.902 0.916 0.909 0.949 waist Weighted Avg. 0.887 0.019 0.887 0.887 0.886 0.934 === Confusion Matrix === a b c d e f g <-- classified as 421 4 31 4 11 38 1 | a = chest 3 442 9 5 9 9 30 | b = forearm 16 8 434 4 1 43 2 | c = head 3 3 2 490 5 3 2 | d = shin 7 3 3 5 480 1 10 | e = thigh 24 10 34 4 8 423 6 | f = upperarm 3 24 0 2 8 6 467 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3147 88.3741 % Incorrectly Classified Instances 414 11.6259 % Kappa statistic 0.8644 Mean absolute error 0.0332 Root mean squared error 0.1823 Relative absolute error 13.5636 % Root relative squared error 52.0838 % Total Number of Instances 3561 === 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 0.922 chest 0.856 0.014 0.908 0.856 0.881 0.921 forearm 0.841 0.025 0.847 0.841 0.844 0.908 head 0.963 0.01 0.942 0.963 0.952 0.976 shin 0.957 0.011 0.933 0.957 0.945 0.973 thigh 0.788 0.028 0.825 0.788 0.806 0.88 upperarm 0.914 0.022 0.876 0.914 0.894 0.946 waist Weighted Avg. 0.884 0.019 0.883 0.884 0.883 0.932 === Confusion Matrix === a b c d e f g <-- classified as 443 4 22 3 4 30 4 | a = chest 2 434 8 8 8 6 41 | b = forearm 31 5 427 3 0 38 4 | c = head 5 3 0 489 5 5 1 | d = shin 4 3 1 6 487 2 6 | e = thigh 34 6 46 7 5 401 10 | f = upperarm 1 23 0 3 13 4 466 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3163 88.8483 % Incorrectly Classified Instances 397 11.1517 % Kappa statistic 0.8699 Mean absolute error 0.0319 Root mean squared error 0.1785 Relative absolute error 13.0103 % Root relative squared error 51.0104 % Total Number of Instances 3560 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.871 0.019 0.886 0.871 0.878 0.926 chest 0.897 0.016 0.903 0.897 0.9 0.941 forearm 0.837 0.027 0.84 0.837 0.838 0.905 head 0.945 0.008 0.952 0.945 0.949 0.969 shin 0.963 0.015 0.916 0.963 0.939 0.974 thigh 0.809 0.034 0.8 0.809 0.805 0.888 upperarm 0.898 0.012 0.923 0.898 0.911 0.943 waist Weighted Avg. 0.888 0.019 0.889 0.888 0.888 0.935 === Confusion Matrix === a b c d e f g <-- classified as 444 5 27 7 8 18 1 | a = chest 5 455 3 2 6 16 20 | b = forearm 19 7 425 0 5 50 2 | c = head 1 1 4 480 9 6 7 | d = shin 4 0 1 7 489 4 3 | e = thigh 26 11 42 5 8 412 5 | f = upperarm 2 25 4 3 9 9 458 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3176 89.2135 % Incorrectly Classified Instances 384 10.7865 % Kappa statistic 0.8742 Mean absolute error 0.0308 Root mean squared error 0.1756 Relative absolute error 12.5843 % Root relative squared error 50.1683 % Total Number of Instances 3560 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.876 0.018 0.888 0.876 0.882 0.929 chest 0.89 0.013 0.919 0.89 0.904 0.938 forearm 0.852 0.028 0.834 0.852 0.843 0.912 head 0.965 0.008 0.953 0.965 0.959 0.978 shin 0.957 0.012 0.931 0.957 0.944 0.972 thigh 0.788 0.03 0.815 0.788 0.801 0.879 upperarm 0.918 0.017 0.902 0.918 0.91 0.95 waist Weighted Avg. 0.892 0.018 0.892 0.892 0.892 0.937 === Confusion Matrix === a b c d e f g <-- classified as 446 4 23 3 4 28 1 | a = chest 1 452 8 4 6 7 30 | b = forearm 19 5 433 2 3 43 3 | c = head 1 4 2 490 5 4 2 | d = shin 2 1 4 6 486 3 6 | e = thigh 30 4 47 9 9 401 9 | f = upperarm 3 22 2 0 9 6 468 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3156 88.6517 % Incorrectly Classified Instances 404 11.3483 % Kappa statistic 0.8676 Mean absolute error 0.0324 Root mean squared error 0.1801 Relative absolute error 13.2397 % Root relative squared error 51.4581 % Total Number of Instances 3560 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.849 0.019 0.883 0.849 0.866 0.915 chest 0.852 0.016 0.9 0.852 0.876 0.918 forearm 0.848 0.025 0.848 0.848 0.848 0.912 head 0.967 0.009 0.948 0.967 0.957 0.979 shin 0.949 0.012 0.931 0.949 0.94 0.969 thigh 0.823 0.031 0.814 0.823 0.818 0.896 upperarm 0.918 0.021 0.881 0.918 0.899 0.948 waist Weighted Avg. 0.887 0.019 0.886 0.887 0.886 0.934 === Confusion Matrix === a b c d e f g <-- classified as 432 3 27 4 5 34 4 | a = chest 5 433 11 2 4 11 42 | b = forearm 25 4 431 1 3 42 2 | c = head 0 2 2 491 8 3 2 | d = shin 3 1 3 13 482 2 4 | e = thigh 24 12 32 6 7 419 9 | f = upperarm 0 26 2 1 9 4 468 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3192 89.6629 % Incorrectly Classified Instances 368 10.3371 % Kappa statistic 0.8794 Mean absolute error 0.0295 Root mean squared error 0.1719 Relative absolute error 12.0599 % Root relative squared error 49.112 % Total Number of Instances 3560 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.862 0.017 0.896 0.862 0.879 0.923 chest 0.897 0.015 0.906 0.897 0.902 0.941 forearm 0.872 0.025 0.854 0.872 0.863 0.924 head 0.961 0.009 0.946 0.961 0.953 0.976 shin 0.959 0.012 0.929 0.959 0.944 0.973 thigh 0.819 0.03 0.821 0.819 0.82 0.895 upperarm 0.906 0.012 0.924 0.906 0.915 0.947 waist Weighted Avg. 0.897 0.017 0.897 0.897 0.896 0.94 === Confusion Matrix === a b c d e f g <-- classified as 439 3 17 4 8 35 3 | a = chest 6 455 4 4 6 8 24 | b = forearm 15 7 443 4 3 33 3 | c = head 2 3 3 489 10 0 2 | d = shin 2 1 0 9 487 3 6 | e = thigh 24 9 51 4 4 417 0 | f = upperarm 2 24 1 3 6 12 462 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 5 FOLD: 0 Correctly Classified Instances 3132 87.9528 % Incorrectly Classified Instances 429 12.0472 % Kappa statistic 0.8594 Mean absolute error 0.0344 Root mean squared error 0.1855 Relative absolute error 14.055 % Root relative squared error 53.019 % Total Number of Instances 3561 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.884 0.024 0.862 0.884 0.873 0.93 chest 0.844 0.016 0.897 0.844 0.87 0.914 forearm 0.837 0.025 0.85 0.837 0.843 0.906 head 0.935 0.009 0.944 0.935 0.94 0.963 shin 0.949 0.015 0.911 0.949 0.93 0.967 thigh 0.788 0.03 0.815 0.788 0.801 0.879 upperarm 0.92 0.022 0.875 0.92 0.897 0.949 waist Weighted Avg. 0.88 0.02 0.879 0.88 0.879 0.93 === Confusion Matrix === a b c d e f g <-- classified as 451 1 14 5 9 29 1 | a = chest 7 428 7 6 7 11 41 | b = forearm 27 7 425 4 2 38 5 | c = head 4 3 5 475 13 6 2 | d = shin 3 0 5 6 483 2 10 | e = thigh 31 13 43 7 6 401 8 | f = upperarm 0 25 1 0 10 5 469 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3146 88.346 % Incorrectly Classified Instances 415 11.654 % Kappa statistic 0.864 Mean absolute error 0.0333 Root mean squared error 0.1825 Relative absolute error 13.5964 % Root relative squared error 52.1467 % Total Number of Instances 3561 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.849 0.018 0.889 0.849 0.868 0.916 chest 0.88 0.013 0.916 0.88 0.898 0.933 forearm 0.833 0.028 0.833 0.833 0.833 0.902 head 0.959 0.01 0.938 0.959 0.948 0.974 shin 0.951 0.013 0.922 0.951 0.936 0.969 thigh 0.792 0.032 0.804 0.792 0.798 0.88 upperarm 0.922 0.021 0.88 0.922 0.9 0.95 waist Weighted Avg. 0.883 0.019 0.883 0.883 0.883 0.932 === Confusion Matrix === a b c d e f g <-- classified as 432 1 22 3 6 41 4 | a = chest 2 447 5 4 9 6 35 | b = forearm 19 11 423 2 3 46 4 | c = head 3 1 5 487 6 1 5 | d = shin 3 1 2 10 484 1 8 | e = thigh 23 7 51 8 9 403 8 | f = upperarm 4 20 0 5 8 3 470 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3204 89.9747 % Incorrectly Classified Instances 357 10.0253 % Kappa statistic 0.883 Mean absolute error 0.0286 Root mean squared error 0.1692 Relative absolute error 11.6962 % Root relative squared error 48.3656 % Total Number of Instances 3561 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.886 0.02 0.879 0.886 0.883 0.933 chest 0.888 0.015 0.906 0.888 0.897 0.936 forearm 0.852 0.021 0.871 0.852 0.862 0.916 head 0.972 0.007 0.959 0.972 0.966 0.983 shin 0.961 0.014 0.917 0.961 0.939 0.973 thigh 0.817 0.027 0.835 0.817 0.826 0.895 upperarm 0.922 0.012 0.927 0.922 0.924 0.955 waist Weighted Avg. 0.9 0.017 0.899 0.9 0.899 0.942 === Confusion Matrix === a b c d e f g <-- classified as 451 4 16 1 9 28 0 | a = chest 2 451 6 4 14 4 27 | b = forearm 25 5 433 0 4 41 0 | c = head 2 2 1 494 8 1 0 | d = shin 3 2 0 9 489 3 3 | e = thigh 26 15 38 5 2 416 7 | f = upperarm 4 19 3 2 7 5 470 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3177 89.2165 % Incorrectly Classified Instances 384 10.7835 % Kappa statistic 0.8742 Mean absolute error 0.0308 Root mean squared error 0.1755 Relative absolute error 12.5807 % Root relative squared error 50.1612 % Total Number of Instances 3561 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.862 0.024 0.859 0.862 0.861 0.919 chest 0.876 0.013 0.917 0.876 0.896 0.931 forearm 0.861 0.023 0.861 0.861 0.861 0.919 head 0.967 0.006 0.965 0.967 0.966 0.98 shin 0.957 0.013 0.924 0.957 0.94 0.972 thigh 0.817 0.029 0.822 0.817 0.82 0.894 upperarm 0.906 0.017 0.897 0.906 0.901 0.944 waist Weighted Avg. 0.892 0.018 0.892 0.892 0.892 0.937 === Confusion Matrix === a b c d e f g <-- classified as 439 3 20 7 7 30 3 | a = chest 3 444 7 2 8 11 32 | b = forearm 23 6 438 1 1 39 1 | c = head 1 2 4 491 5 2 3 | d = shin 7 1 1 5 487 0 8 | e = thigh 32 3 39 2 11 416 6 | f = upperarm 6 25 0 1 8 8 462 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3175 89.1603 % Incorrectly Classified Instances 386 10.8397 % Kappa statistic 0.8735 Mean absolute error 0.031 Root mean squared error 0.176 Relative absolute error 12.6463 % Root relative squared error 50.2917 % Total Number of Instances 3561 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.853 0.024 0.854 0.853 0.853 0.914 chest 0.895 0.016 0.901 0.895 0.898 0.94 forearm 0.853 0.02 0.877 0.853 0.865 0.916 head 0.957 0.007 0.961 0.957 0.959 0.975 shin 0.967 0.013 0.926 0.967 0.946 0.977 thigh 0.798 0.029 0.82 0.798 0.809 0.884 upperarm 0.92 0.017 0.898 0.92 0.909 0.951 waist Weighted Avg. 0.892 0.018 0.891 0.892 0.891 0.937 === Confusion Matrix === a b c d e f g <-- classified as 434 8 22 2 9 33 1 | a = chest 6 454 2 1 4 8 32 | b = forearm 23 9 434 1 2 37 3 | c = head 3 3 2 487 9 1 4 | d = shin 3 1 1 6 491 1 5 | e = thigh 37 13 32 8 5 406 8 | f = upperarm 2 16 2 2 10 9 469 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3176 89.1884 % Incorrectly Classified Instances 385 10.8116 % Kappa statistic 0.8739 Mean absolute error 0.0309 Root mean squared error 0.1758 Relative absolute error 12.6135 % Root relative squared error 50.2265 % Total Number of Instances 3561 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.866 0.02 0.88 0.866 0.873 0.923 chest 0.893 0.019 0.886 0.893 0.89 0.937 forearm 0.839 0.022 0.866 0.839 0.852 0.909 head 0.957 0.009 0.947 0.957 0.952 0.974 shin 0.974 0.011 0.934 0.974 0.954 0.981 thigh 0.811 0.03 0.818 0.811 0.815 0.891 upperarm 0.902 0.015 0.907 0.902 0.905 0.943 waist Weighted Avg. 0.892 0.018 0.891 0.892 0.892 0.937 === Confusion Matrix === a b c d e f g <-- classified as 441 3 20 7 8 30 0 | a = chest 3 453 6 7 3 9 26 | b = forearm 24 8 427 6 2 42 0 | c = head 0 2 3 487 9 3 5 | d = shin 4 0 2 2 495 2 3 | e = thigh 28 10 34 4 7 413 13 | f = upperarm 1 35 1 1 6 6 460 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3139 88.1742 % Incorrectly Classified Instances 421 11.8258 % Kappa statistic 0.862 Mean absolute error 0.0338 Root mean squared error 0.1838 Relative absolute error 13.7968 % Root relative squared error 52.5297 % Total Number of Instances 3560 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.819 0.019 0.88 0.819 0.848 0.9 chest 0.864 0.015 0.903 0.864 0.883 0.924 forearm 0.864 0.027 0.843 0.864 0.853 0.919 head 0.969 0.008 0.955 0.969 0.962 0.981 shin 0.945 0.017 0.901 0.945 0.922 0.964 thigh 0.804 0.035 0.794 0.804 0.799 0.884 upperarm 0.908 0.017 0.897 0.908 0.903 0.945 waist Weighted Avg. 0.882 0.02 0.882 0.882 0.881 0.931 === Confusion Matrix === a b c d e f g <-- classified as 417 2 28 4 13 42 3 | a = chest 4 438 6 4 6 16 33 | b = forearm 22 6 439 2 1 37 1 | c = head 2 0 1 493 10 1 2 | d = shin 5 5 0 3 480 6 9 | e = thigh 24 8 46 5 12 409 5 | f = upperarm 0 26 1 5 11 4 463 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3159 88.736 % Incorrectly Classified Instances 401 11.264 % Kappa statistic 0.8686 Mean absolute error 0.0322 Root mean squared error 0.1794 Relative absolute error 13.1414 % Root relative squared error 51.2667 % Total Number of Instances 3560 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.89 0.023 0.866 0.89 0.878 0.934 chest 0.886 0.017 0.894 0.886 0.89 0.934 forearm 0.835 0.026 0.845 0.835 0.84 0.905 head 0.963 0.011 0.933 0.963 0.948 0.976 shin 0.941 0.01 0.939 0.941 0.94 0.965 thigh 0.774 0.026 0.831 0.774 0.802 0.874 upperarm 0.924 0.018 0.897 0.924 0.91 0.953 waist Weighted Avg. 0.887 0.019 0.887 0.887 0.887 0.934 === Confusion Matrix === a b c d e f g <-- classified as 454 2 17 3 4 28 2 | a = chest 3 449 4 4 10 6 31 | b = forearm 29 7 424 7 2 37 2 | c = head 3 2 1 489 3 5 5 | d = shin 5 4 0 13 478 0 8 | e = thigh 29 13 53 7 7 394 6 | f = upperarm 1 25 3 1 5 4 471 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3137 88.118 % Incorrectly Classified Instances 423 11.882 % Kappa statistic 0.8614 Mean absolute error 0.0339 Root mean squared error 0.1843 Relative absolute error 13.8624 % Root relative squared error 52.6543 % Total Number of Instances 3560 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.853 0.022 0.868 0.853 0.861 0.916 chest 0.872 0.014 0.911 0.872 0.891 0.929 forearm 0.809 0.028 0.83 0.809 0.82 0.891 head 0.955 0.009 0.945 0.955 0.95 0.973 shin 0.965 0.017 0.906 0.965 0.934 0.974 thigh 0.796 0.034 0.796 0.796 0.796 0.881 upperarm 0.92 0.015 0.909 0.92 0.914 0.952 waist Weighted Avg. 0.881 0.02 0.881 0.881 0.881 0.931 === Confusion Matrix === a b c d e f g <-- classified as 435 7 31 2 8 25 2 | a = chest 1 442 9 5 11 14 25 | b = forearm 28 3 411 3 4 55 4 | c = head 3 7 3 485 4 5 1 | d = shin 1 0 2 7 490 0 8 | e = thigh 32 12 36 7 10 405 7 | f = upperarm 1 14 3 4 14 5 469 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3177 89.2416 % Incorrectly Classified Instances 383 10.7584 % Kappa statistic 0.8745 Mean absolute error 0.0307 Root mean squared error 0.1753 Relative absolute error 12.5515 % Root relative squared error 50.1029 % Total Number of Instances 3560 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.843 0.021 0.869 0.843 0.856 0.911 chest 0.917 0.016 0.903 0.917 0.91 0.95 forearm 0.866 0.025 0.854 0.866 0.86 0.921 head 0.941 0.01 0.937 0.941 0.939 0.965 shin 0.953 0.013 0.924 0.953 0.938 0.97 thigh 0.811 0.026 0.839 0.811 0.825 0.893 upperarm 0.916 0.014 0.917 0.916 0.917 0.951 waist Weighted Avg. 0.892 0.018 0.892 0.892 0.892 0.937 === Confusion Matrix === a b c d e f g <-- classified as 430 4 32 8 5 30 1 | a = chest 2 465 4 3 6 4 23 | b = forearm 18 8 440 2 2 34 4 | c = head 4 4 2 478 12 5 3 | d = shin 5 1 1 6 484 2 9 | e = thigh 35 13 31 8 7 413 2 | f = upperarm 1 20 5 5 8 4 467 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 6 FOLD: 0 Correctly Classified Instances 3168 88.9638 % Incorrectly Classified Instances 393 11.0362 % Kappa statistic 0.8712 Mean absolute error 0.0315 Root mean squared error 0.1776 Relative absolute error 12.8756 % Root relative squared error 50.7456 % Total Number of Instances 3561 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.873 0.02 0.881 0.873 0.877 0.926 chest 0.88 0.01 0.937 0.88 0.907 0.935 forearm 0.854 0.029 0.828 0.854 0.841 0.912 head 0.967 0.008 0.955 0.967 0.961 0.98 shin 0.945 0.013 0.923 0.945 0.934 0.966 thigh 0.784 0.032 0.804 0.784 0.794 0.876 upperarm 0.925 0.017 0.899 0.925 0.912 0.954 waist Weighted Avg. 0.89 0.018 0.89 0.89 0.889 0.936 === Confusion Matrix === a b c d e f g <-- classified as 445 2 23 2 8 29 1 | a = chest 3 446 6 2 6 13 31 | b = forearm 22 5 434 4 0 38 5 | c = head 1 1 3 491 8 3 1 | d = shin 8 0 1 4 481 6 9 | e = thigh 24 6 56 7 11 399 6 | f = upperarm 2 16 1 4 7 8 472 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3157 88.6549 % Incorrectly Classified Instances 404 11.3451 % Kappa statistic 0.8676 Mean absolute error 0.0324 Root mean squared error 0.18 Relative absolute error 13.236 % Root relative squared error 51.4509 % Total Number of Instances 3561 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.876 0.025 0.856 0.876 0.866 0.926 chest 0.886 0.017 0.896 0.886 0.891 0.934 forearm 0.819 0.027 0.837 0.819 0.828 0.896 head 0.959 0.007 0.959 0.959 0.959 0.976 shin 0.945 0.012 0.927 0.945 0.936 0.966 thigh 0.815 0.03 0.819 0.815 0.817 0.893 upperarm 0.906 0.015 0.911 0.906 0.909 0.946 waist Weighted Avg. 0.887 0.019 0.886 0.887 0.886 0.934 === Confusion Matrix === a b c d e f g <-- classified as 447 7 25 0 4 27 0 | a = chest 5 449 3 2 8 8 32 | b = forearm 32 10 416 2 1 45 2 | c = head 3 2 1 487 8 6 1 | d = shin 5 2 3 9 481 1 8 | e = thigh 27 8 47 5 5 415 2 | f = upperarm 3 23 2 3 12 5 462 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3148 88.4021 % Incorrectly Classified Instances 413 11.5979 % Kappa statistic 0.8647 Mean absolute error 0.0331 Root mean squared error 0.182 Relative absolute error 13.5309 % Root relative squared error 52.0209 % Total Number of Instances 3561 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.837 0.021 0.868 0.837 0.852 0.908 chest 0.888 0.022 0.87 0.888 0.879 0.933 forearm 0.841 0.022 0.863 0.841 0.851 0.909 head 0.953 0.011 0.936 0.953 0.944 0.971 shin 0.965 0.015 0.914 0.965 0.939 0.975 thigh 0.807 0.027 0.835 0.807 0.821 0.89 upperarm 0.898 0.017 0.896 0.898 0.897 0.94 waist Weighted Avg. 0.884 0.019 0.883 0.884 0.883 0.932 === Confusion Matrix === a b c d e f g <-- classified as 427 7 27 6 8 32 3 | a = chest 2 450 4 5 7 9 30 | b = forearm 23 15 427 3 4 30 6 | c = head 2 5 2 484 7 4 4 | d = shin 4 0 3 6 491 1 4 | e = thigh 34 14 29 9 6 411 6 | f = upperarm 0 26 3 4 14 5 458 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3195 89.722 % Incorrectly Classified Instances 366 10.278 % Kappa statistic 0.8801 Mean absolute error 0.0294 Root mean squared error 0.1714 Relative absolute error 11.991 % Root relative squared error 48.9715 % Total Number of Instances 3561 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.862 0.022 0.868 0.862 0.865 0.92 chest 0.897 0.016 0.901 0.897 0.899 0.941 forearm 0.866 0.022 0.868 0.866 0.867 0.922 head 0.947 0.005 0.968 0.947 0.957 0.971 shin 0.959 0.014 0.921 0.959 0.939 0.972 thigh 0.817 0.028 0.832 0.817 0.825 0.895 upperarm 0.931 0.013 0.922 0.931 0.927 0.959 waist Weighted Avg. 0.897 0.017 0.897 0.897 0.897 0.94 === Confusion Matrix === a b c d e f g <-- classified as 439 1 21 6 12 27 3 | a = chest 3 455 5 3 8 9 24 | b = forearm 20 6 440 0 3 38 1 | c = head 3 4 3 482 9 6 2 | d = shin 5 3 2 6 488 0 5 | e = thigh 36 11 34 1 6 416 5 | f = upperarm 0 25 2 0 4 4 475 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3202 89.9186 % Incorrectly Classified Instances 359 10.0814 % Kappa statistic 0.8824 Mean absolute error 0.0288 Root mean squared error 0.1697 Relative absolute error 11.7617 % Root relative squared error 48.5009 % Total Number of Instances 3561 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.859 0.017 0.894 0.859 0.876 0.921 chest 0.902 0.01 0.935 0.902 0.918 0.946 forearm 0.864 0.023 0.862 0.864 0.863 0.921 head 0.967 0.01 0.943 0.967 0.954 0.978 shin 0.943 0.011 0.934 0.943 0.938 0.966 thigh 0.825 0.031 0.817 0.825 0.821 0.897 upperarm 0.935 0.015 0.91 0.935 0.923 0.96 waist Weighted Avg. 0.899 0.017 0.899 0.899 0.899 0.941 === Confusion Matrix === a b c d e f g <-- classified as 437 4 18 8 3 38 1 | a = chest 2 458 6 3 9 8 22 | b = forearm 20 5 439 3 3 37 1 | c = head 0 0 3 492 8 4 2 | d = shin 6 3 1 8 479 3 8 | e = thigh 22 2 40 6 6 420 13 | f = upperarm 2 18 2 2 5 4 477 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3153 88.5425 % Incorrectly Classified Instances 408 11.4575 % Kappa statistic 0.8663 Mean absolute error 0.0327 Root mean squared error 0.1809 Relative absolute error 13.367 % Root relative squared error 51.705 % Total Number of Instances 3561 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.835 0.015 0.9 0.835 0.866 0.91 chest 0.88 0.014 0.912 0.88 0.896 0.933 forearm 0.858 0.029 0.832 0.858 0.845 0.915 head 0.953 0.008 0.953 0.953 0.953 0.972 shin 0.945 0.014 0.918 0.945 0.931 0.965 thigh 0.815 0.035 0.795 0.815 0.805 0.89 upperarm 0.912 0.018 0.893 0.912 0.902 0.947 waist Weighted Avg. 0.885 0.019 0.886 0.885 0.885 0.933 === Confusion Matrix === a b c d e f g <-- classified as 425 8 21 5 6 41 3 | a = chest 3 447 10 3 11 5 29 | b = forearm 14 7 436 2 4 45 0 | c = head 2 1 5 485 8 4 4 | d = shin 4 1 4 10 480 2 7 | e = thigh 19 9 45 2 6 415 13 | f = upperarm 5 17 3 2 8 10 465 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3144 88.3146 % Incorrectly Classified Instances 416 11.6854 % Kappa statistic 0.8637 Mean absolute error 0.0334 Root mean squared error 0.1827 Relative absolute error 13.633 % Root relative squared error 52.2168 % Total Number of Instances 3560 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.843 0.023 0.86 0.843 0.851 0.91 chest 0.854 0.015 0.904 0.854 0.878 0.919 forearm 0.835 0.027 0.838 0.835 0.837 0.904 head 0.965 0.006 0.963 0.965 0.964 0.979 shin 0.963 0.012 0.931 0.963 0.947 0.975 thigh 0.784 0.032 0.801 0.784 0.792 0.876 upperarm 0.939 0.021 0.882 0.939 0.91 0.959 waist Weighted Avg. 0.883 0.019 0.883 0.883 0.883 0.932 === Confusion Matrix === a b c d e f g <-- classified as 429 3 29 2 10 33 3 | a = chest 6 433 8 3 6 7 44 | b = forearm 23 7 425 3 3 47 1 | c = head 1 3 2 490 5 3 4 | d = shin 3 1 1 3 489 5 6 | e = thigh 33 15 40 6 10 399 6 | f = upperarm 4 17 2 2 2 4 479 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3158 88.7079 % Incorrectly Classified Instances 402 11.2921 % Kappa statistic 0.8683 Mean absolute error 0.0323 Root mean squared error 0.1796 Relative absolute error 13.1742 % Root relative squared error 51.3306 % Total Number of Instances 3560 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.857 0.016 0.899 0.857 0.877 0.92 chest 0.87 0.015 0.907 0.87 0.888 0.928 forearm 0.859 0.027 0.844 0.859 0.851 0.916 head 0.955 0.01 0.94 0.955 0.947 0.972 shin 0.959 0.015 0.915 0.959 0.937 0.972 thigh 0.788 0.032 0.805 0.788 0.796 0.878 upperarm 0.924 0.018 0.897 0.924 0.91 0.953 waist Weighted Avg. 0.887 0.019 0.887 0.887 0.887 0.934 === Confusion Matrix === a b c d e f g <-- classified as 436 3 20 6 7 35 2 | a = chest 1 441 5 6 7 10 37 | b = forearm 17 4 437 3 2 46 0 | c = head 4 2 4 485 8 2 3 | d = shin 3 0 0 8 487 2 8 | e = thigh 23 15 50 7 9 401 4 | f = upperarm 1 21 2 1 12 2 471 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3139 88.1742 % Incorrectly Classified Instances 421 11.8258 % Kappa statistic 0.862 Mean absolute error 0.0338 Root mean squared error 0.1838 Relative absolute error 13.7968 % Root relative squared error 52.5297 % Total Number of Instances 3560 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.876 0.022 0.869 0.876 0.873 0.927 chest 0.876 0.02 0.881 0.876 0.878 0.928 forearm 0.825 0.027 0.835 0.825 0.83 0.899 head 0.961 0.009 0.949 0.961 0.955 0.976 shin 0.967 0.014 0.918 0.967 0.942 0.976 thigh 0.78 0.029 0.815 0.78 0.797 0.875 upperarm 0.888 0.017 0.899 0.888 0.893 0.936 waist Weighted Avg. 0.882 0.02 0.881 0.882 0.881 0.931 === Confusion Matrix === a b c d e f g <-- classified as 446 4 23 3 9 24 0 | a = chest 4 444 10 6 6 8 29 | b = forearm 25 9 420 3 3 46 3 | c = head 0 2 1 488 9 4 4 | d = shin 2 2 1 3 491 1 8 | e = thigh 34 12 46 7 6 397 7 | f = upperarm 2 31 2 4 11 7 453 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3149 88.4551 % Incorrectly Classified Instances 411 11.5449 % Kappa statistic 0.8653 Mean absolute error 0.033 Root mean squared error 0.1816 Relative absolute error 13.4691 % Root relative squared error 51.902 % Total Number of Instances 3560 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.855 0.019 0.881 0.855 0.868 0.918 chest 0.878 0.017 0.895 0.878 0.886 0.93 forearm 0.864 0.028 0.839 0.864 0.852 0.918 head 0.943 0.009 0.947 0.943 0.945 0.967 shin 0.961 0.017 0.902 0.961 0.93 0.972 thigh 0.782 0.027 0.829 0.782 0.805 0.878 upperarm 0.91 0.018 0.896 0.91 0.903 0.946 waist Weighted Avg. 0.885 0.019 0.884 0.885 0.884 0.933 === Confusion Matrix === a b c d e f g <-- classified as 436 2 30 4 7 26 5 | a = chest 3 445 5 3 8 11 32 | b = forearm 22 8 439 2 2 34 1 | c = head 6 4 1 479 10 4 4 | d = shin 2 0 1 10 488 1 6 | e = thigh 26 14 44 8 13 398 6 | f = upperarm 0 24 3 0 13 6 464 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 7 FOLD: 0 Correctly Classified Instances 3174 89.1323 % Incorrectly Classified Instances 387 10.8677 % Kappa statistic 0.8732 Mean absolute error 0.0311 Root mean squared error 0.1762 Relative absolute error 12.679 % Root relative squared error 50.3568 % Total Number of Instances 3561 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.847 0.018 0.889 0.847 0.867 0.915 chest 0.878 0.013 0.918 0.878 0.897 0.932 forearm 0.882 0.031 0.827 0.882 0.854 0.926 head 0.959 0.007 0.959 0.959 0.959 0.976 shin 0.947 0.011 0.934 0.947 0.94 0.968 thigh 0.809 0.028 0.831 0.809 0.82 0.891 upperarm 0.918 0.02 0.886 0.918 0.902 0.949 waist Weighted Avg. 0.891 0.018 0.892 0.891 0.891 0.937 === Confusion Matrix === a b c d e f g <-- classified as 432 3 29 3 6 33 4 | a = chest 4 445 5 3 4 11 35 | b = forearm 15 6 449 2 3 29 5 | c = head 4 0 5 487 3 5 4 | d = shin 6 0 3 9 481 2 7 | e = thigh 22 10 48 2 10 412 5 | f = upperarm 3 21 4 2 8 4 468 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3185 89.4412 % Incorrectly Classified Instances 376 10.5588 % Kappa statistic 0.8768 Mean absolute error 0.0302 Root mean squared error 0.1737 Relative absolute error 12.3186 % Root relative squared error 49.636 % Total Number of Instances 3561 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.878 0.019 0.884 0.878 0.881 0.93 chest 0.909 0.016 0.906 0.909 0.907 0.947 forearm 0.849 0.027 0.839 0.849 0.844 0.911 head 0.965 0.01 0.942 0.965 0.953 0.977 shin 0.947 0.014 0.92 0.947 0.933 0.967 thigh 0.786 0.025 0.842 0.786 0.813 0.881 upperarm 0.927 0.013 0.924 0.927 0.926 0.957 waist Weighted Avg. 0.894 0.018 0.894 0.894 0.894 0.938 === Confusion Matrix === a b c d e f g <-- classified as 448 3 24 2 6 26 1 | a = chest 1 461 6 5 6 6 22 | b = forearm 26 6 432 5 3 35 2 | c = head 1 3 2 490 8 1 3 | d = shin 7 3 2 11 481 0 4 | e = thigh 24 15 47 4 12 400 7 | f = upperarm 0 18 2 3 7 7 473 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3176 89.1884 % Incorrectly Classified Instances 385 10.8116 % Kappa statistic 0.8739 Mean absolute error 0.0309 Root mean squared error 0.1758 Relative absolute error 12.6135 % Root relative squared error 50.2265 % Total Number of Instances 3561 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.88 0.023 0.865 0.88 0.873 0.929 chest 0.866 0.014 0.911 0.866 0.888 0.926 forearm 0.837 0.023 0.857 0.837 0.847 0.907 head 0.959 0.009 0.947 0.959 0.953 0.975 shin 0.97 0.013 0.927 0.97 0.948 0.979 thigh 0.807 0.029 0.822 0.807 0.815 0.889 upperarm 0.924 0.015 0.911 0.924 0.917 0.954 waist Weighted Avg. 0.892 0.018 0.891 0.892 0.891 0.937 === Confusion Matrix === a b c d e f g <-- classified as 449 5 23 4 5 23 1 | a = chest 4 439 8 6 9 11 30 | b = forearm 28 5 426 3 0 45 2 | c = head 2 2 2 487 7 5 3 | d = shin 3 2 1 4 493 1 4 | e = thigh 31 10 36 9 6 411 6 | f = upperarm 2 19 1 1 12 4 471 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3170 89.0199 % Incorrectly Classified Instances 391 10.9801 % Kappa statistic 0.8719 Mean absolute error 0.0314 Root mean squared error 0.1771 Relative absolute error 12.8101 % Root relative squared error 50.6164 % Total Number of Instances 3561 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.853 0.019 0.881 0.853 0.867 0.917 chest 0.876 0.015 0.906 0.876 0.891 0.93 forearm 0.821 0.021 0.865 0.821 0.842 0.9 head 0.961 0.008 0.955 0.961 0.958 0.977 shin 0.965 0.014 0.918 0.965 0.94 0.975 thigh 0.831 0.035 0.8 0.831 0.815 0.898 upperarm 0.925 0.016 0.908 0.925 0.917 0.955 waist Weighted Avg. 0.89 0.018 0.89 0.89 0.89 0.936 === Confusion Matrix === a b c d e f g <-- classified as 435 3 28 5 9 27 3 | a = chest 5 444 7 5 4 15 27 | b = forearm 27 6 417 2 2 51 3 | c = head 0 4 3 489 8 4 1 | d = shin 4 1 1 3 490 1 8 | e = thigh 23 14 26 5 12 423 6 | f = upperarm 0 18 0 3 9 8 472 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3161 88.7672 % Incorrectly Classified Instances 400 11.2328 % Kappa statistic 0.869 Mean absolute error 0.0321 Root mean squared error 0.1791 Relative absolute error 13.1049 % Root relative squared error 51.1956 % Total Number of Instances 3561 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.825 0.022 0.861 0.825 0.843 0.901 chest 0.89 0.013 0.917 0.89 0.903 0.938 forearm 0.837 0.027 0.84 0.837 0.838 0.905 head 0.963 0.008 0.955 0.963 0.959 0.978 shin 0.955 0.011 0.933 0.955 0.944 0.972 thigh 0.827 0.034 0.8 0.827 0.814 0.896 upperarm 0.918 0.015 0.909 0.918 0.913 0.951 waist Weighted Avg. 0.888 0.019 0.888 0.888 0.888 0.934 === Confusion Matrix === a b c d e f g <-- classified as 420 3 31 5 9 39 2 | a = chest 2 452 3 3 7 8 33 | b = forearm 25 7 425 1 0 47 3 | c = head 2 3 3 490 7 3 1 | d = shin 10 2 2 4 485 3 2 | e = thigh 26 8 40 7 1 421 6 | f = upperarm 3 18 2 3 11 5 468 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3133 87.9809 % Incorrectly Classified Instances 428 12.0191 % Kappa statistic 0.8598 Mean absolute error 0.0343 Root mean squared error 0.1853 Relative absolute error 14.0223 % Root relative squared error 52.9571 % Total Number of Instances 3561 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.845 0.023 0.86 0.845 0.852 0.911 chest 0.856 0.017 0.895 0.856 0.875 0.92 forearm 0.819 0.024 0.849 0.819 0.834 0.897 head 0.965 0.01 0.942 0.965 0.953 0.977 shin 0.953 0.012 0.929 0.953 0.941 0.97 thigh 0.809 0.033 0.805 0.809 0.807 0.888 upperarm 0.912 0.022 0.876 0.912 0.893 0.945 waist Weighted Avg. 0.88 0.02 0.879 0.88 0.879 0.93 === Confusion Matrix === a b c d e f g <-- classified as 430 4 19 7 6 40 3 | a = chest 1 435 13 3 10 8 38 | b = forearm 34 7 416 4 3 40 4 | c = head 0 2 3 491 3 4 6 | d = shin 3 3 2 8 484 2 6 | e = thigh 30 9 37 5 7 412 9 | f = upperarm 2 26 0 3 8 6 465 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3179 89.2978 % Incorrectly Classified Instances 381 10.7022 % Kappa statistic 0.8751 Mean absolute error 0.0306 Root mean squared error 0.1749 Relative absolute error 12.486 % Root relative squared error 49.9719 % Total Number of Instances 3560 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.851 0.02 0.877 0.851 0.863 0.915 chest 0.89 0.014 0.915 0.89 0.902 0.938 forearm 0.862 0.023 0.861 0.862 0.861 0.919 head 0.947 0.008 0.954 0.947 0.951 0.97 shin 0.949 0.014 0.92 0.949 0.934 0.968 thigh 0.813 0.03 0.817 0.813 0.815 0.891 upperarm 0.939 0.016 0.907 0.939 0.923 0.962 waist Weighted Avg. 0.893 0.018 0.893 0.893 0.893 0.938 === Confusion Matrix === a b c d e f g <-- classified as 433 4 22 6 10 33 1 | a = chest 2 451 4 4 7 11 28 | b = forearm 24 5 438 1 0 39 1 | c = head 4 3 2 481 10 3 5 | d = shin 2 2 4 5 483 4 9 | e = thigh 27 8 38 6 11 414 5 | f = upperarm 2 20 1 1 4 3 479 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3142 88.2584 % Incorrectly Classified Instances 418 11.7416 % Kappa statistic 0.863 Mean absolute error 0.0335 Root mean squared error 0.1832 Relative absolute error 13.6985 % Root relative squared error 52.3422 % Total Number of Instances 3560 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.878 0.017 0.894 0.878 0.886 0.93 chest 0.864 0.017 0.892 0.864 0.878 0.923 forearm 0.866 0.027 0.843 0.866 0.854 0.92 head 0.959 0.013 0.924 0.959 0.941 0.973 shin 0.941 0.015 0.911 0.941 0.926 0.963 thigh 0.782 0.029 0.816 0.782 0.798 0.876 upperarm 0.888 0.017 0.895 0.888 0.892 0.935 waist Weighted Avg. 0.883 0.02 0.882 0.883 0.882 0.932 === Confusion Matrix === a b c d e f g <-- classified as 447 3 17 6 6 28 2 | a = chest 2 438 10 4 10 11 32 | b = forearm 13 5 440 4 3 42 1 | c = head 1 3 4 487 10 2 1 | d = shin 5 1 0 14 479 0 10 | e = thigh 31 11 47 8 7 398 7 | f = upperarm 1 30 4 4 11 7 453 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3140 88.2022 % Incorrectly Classified Instances 420 11.7978 % Kappa statistic 0.8624 Mean absolute error 0.0337 Root mean squared error 0.1836 Relative absolute error 13.7641 % Root relative squared error 52.4672 % Total Number of Instances 3560 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.859 0.024 0.857 0.859 0.858 0.917 chest 0.866 0.013 0.915 0.866 0.89 0.926 forearm 0.868 0.029 0.831 0.868 0.849 0.919 head 0.951 0.007 0.96 0.951 0.955 0.972 shin 0.955 0.011 0.936 0.955 0.946 0.972 thigh 0.764 0.031 0.802 0.764 0.783 0.866 upperarm 0.912 0.022 0.874 0.912 0.893 0.945 waist Weighted Avg. 0.882 0.02 0.882 0.882 0.882 0.931 === Confusion Matrix === a b c d e f g <-- classified as 437 4 21 3 8 35 1 | a = chest 9 439 3 4 7 7 38 | b = forearm 15 4 441 3 1 42 2 | c = head 3 3 2 483 8 4 5 | d = shin 3 1 1 4 486 1 13 | e = thigh 38 10 57 3 4 389 8 | f = upperarm 5 19 6 3 5 7 465 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3171 89.073 % Incorrectly Classified Instances 389 10.927 % Kappa statistic 0.8725 Mean absolute error 0.0312 Root mean squared error 0.1767 Relative absolute error 12.7481 % Root relative squared error 50.4938 % Total Number of Instances 3560 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.864 0.023 0.863 0.864 0.864 0.921 chest 0.893 0.014 0.915 0.893 0.904 0.94 forearm 0.833 0.025 0.848 0.833 0.84 0.904 head 0.951 0.007 0.96 0.951 0.955 0.972 shin 0.978 0.016 0.91 0.978 0.943 0.981 thigh 0.792 0.028 0.828 0.792 0.809 0.882 upperarm 0.924 0.016 0.908 0.924 0.915 0.954 waist Weighted Avg. 0.891 0.018 0.89 0.891 0.89 0.936 === Confusion Matrix === a b c d e f g <-- classified as 440 2 24 3 7 28 5 | a = chest 4 453 7 2 9 5 27 | b = forearm 25 8 423 1 5 43 3 | c = head 5 1 2 483 10 4 3 | d = shin 2 1 0 0 498 3 5 | e = thigh 34 9 40 11 7 403 5 | f = upperarm 0 21 3 3 11 1 471 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 8 FOLD: 0 Correctly Classified Instances 3185 89.4412 % Incorrectly Classified Instances 376 10.5588 % Kappa statistic 0.8768 Mean absolute error 0.0302 Root mean squared error 0.1737 Relative absolute error 12.3186 % Root relative squared error 49.636 % Total Number of Instances 3561 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.853 0.019 0.881 0.853 0.867 0.917 chest 0.899 0.016 0.905 0.899 0.902 0.942 forearm 0.851 0.022 0.864 0.851 0.857 0.914 head 0.961 0.009 0.946 0.961 0.953 0.976 shin 0.963 0.013 0.926 0.963 0.944 0.975 thigh 0.823 0.03 0.822 0.823 0.822 0.897 upperarm 0.912 0.014 0.915 0.912 0.914 0.949 waist Weighted Avg. 0.894 0.018 0.894 0.894 0.894 0.938 === Confusion Matrix === a b c d e f g <-- classified as 435 6 23 4 8 32 2 | a = chest 1 456 7 5 6 10 22 | b = forearm 20 6 433 4 3 38 5 | c = head 3 0 3 488 9 3 2 | d = shin 4 2 1 5 489 0 7 | e = thigh 29 13 31 7 5 419 5 | f = upperarm 2 21 3 3 8 8 465 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3125 87.7562 % Incorrectly Classified Instances 436 12.2438 % Kappa statistic 0.8572 Mean absolute error 0.035 Root mean squared error 0.187 Relative absolute error 14.2844 % Root relative squared error 53.4498 % Total Number of Instances 3561 === 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 0.922 chest 0.866 0.018 0.89 0.866 0.878 0.924 forearm 0.845 0.026 0.845 0.845 0.845 0.909 head 0.939 0.009 0.946 0.939 0.943 0.965 shin 0.945 0.01 0.938 0.945 0.941 0.967 thigh 0.76 0.032 0.8 0.76 0.779 0.864 upperarm 0.92 0.023 0.87 0.92 0.894 0.948 waist Weighted Avg. 0.878 0.02 0.877 0.878 0.877 0.929 === Confusion Matrix === a b c d e f g <-- classified as 443 5 20 7 4 27 4 | a = chest 6 439 5 5 3 9 40 | b = forearm 23 4 430 3 2 45 2 | c = head 5 5 3 477 5 6 7 | d = shin 3 1 3 7 480 2 12 | e = thigh 39 19 44 3 12 387 5 | f = upperarm 1 20 4 2 6 8 469 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3184 89.4131 % Incorrectly Classified Instances 377 10.5869 % Kappa statistic 0.8765 Mean absolute error 0.0302 Root mean squared error 0.1739 Relative absolute error 12.3514 % Root relative squared error 49.7019 % Total Number of Instances 3561 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.87 0.019 0.884 0.87 0.877 0.926 chest 0.87 0.013 0.919 0.87 0.894 0.929 forearm 0.855 0.024 0.858 0.855 0.856 0.916 head 0.949 0.005 0.972 0.949 0.96 0.972 shin 0.957 0.011 0.937 0.957 0.947 0.973 thigh 0.827 0.032 0.813 0.827 0.82 0.898 upperarm 0.931 0.021 0.881 0.931 0.906 0.955 waist Weighted Avg. 0.894 0.018 0.895 0.894 0.894 0.938 === Confusion Matrix === a b c d e f g <-- classified as 443 3 23 0 5 29 6 | a = chest 5 441 5 4 7 8 37 | b = forearm 19 5 435 2 1 44 3 | c = head 3 2 3 482 8 8 2 | d = shin 4 2 2 3 487 3 8 | e = thigh 27 9 39 3 2 421 8 | f = upperarm 0 18 0 2 10 5 475 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3161 88.7672 % Incorrectly Classified Instances 400 11.2328 % Kappa statistic 0.869 Mean absolute error 0.0321 Root mean squared error 0.1791 Relative absolute error 13.1049 % Root relative squared error 51.1956 % Total Number of Instances 3561 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.837 0.016 0.897 0.837 0.866 0.91 chest 0.886 0.014 0.911 0.886 0.898 0.936 forearm 0.846 0.028 0.835 0.846 0.841 0.909 head 0.972 0.011 0.937 0.972 0.955 0.981 shin 0.959 0.011 0.933 0.959 0.946 0.974 thigh 0.829 0.035 0.799 0.829 0.814 0.897 upperarm 0.884 0.016 0.904 0.884 0.894 0.934 waist Weighted Avg. 0.888 0.019 0.888 0.888 0.888 0.934 === Confusion Matrix === a b c d e f g <-- classified as 426 2 27 7 12 32 3 | a = chest 4 450 6 4 6 8 30 | b = forearm 16 5 430 2 0 53 2 | c = head 0 1 3 494 4 3 3 | d = shin 3 1 1 7 488 3 6 | e = thigh 25 6 43 7 2 422 4 | f = upperarm 1 29 5 6 11 7 451 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3181 89.3288 % Incorrectly Classified Instances 380 10.6712 % Kappa statistic 0.8755 Mean absolute error 0.0305 Root mean squared error 0.1746 Relative absolute error 12.4497 % Root relative squared error 49.8993 % Total Number of Instances 3561 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.88 0.018 0.891 0.88 0.885 0.931 chest 0.882 0.016 0.903 0.882 0.892 0.933 forearm 0.862 0.027 0.844 0.862 0.853 0.918 head 0.97 0.008 0.954 0.97 0.962 0.981 shin 0.949 0.012 0.929 0.949 0.939 0.968 thigh 0.788 0.027 0.83 0.788 0.808 0.88 upperarm 0.922 0.017 0.899 0.922 0.91 0.952 waist Weighted Avg. 0.893 0.018 0.893 0.893 0.893 0.938 === Confusion Matrix === a b c d e f g <-- classified as 448 0 21 2 2 31 5 | a = chest 2 448 9 7 5 6 31 | b = forearm 19 7 438 1 4 38 1 | c = head 1 1 1 493 7 4 1 | d = shin 6 2 4 7 483 0 7 | e = thigh 25 14 45 6 10 401 8 | f = upperarm 2 24 1 1 9 3 470 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3132 87.9528 % Incorrectly Classified Instances 429 12.0472 % Kappa statistic 0.8594 Mean absolute error 0.0344 Root mean squared error 0.1855 Relative absolute error 14.055 % Root relative squared error 53.019 % Total Number of Instances 3561 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.827 0.02 0.875 0.827 0.851 0.904 chest 0.884 0.02 0.88 0.884 0.882 0.932 forearm 0.854 0.029 0.83 0.854 0.842 0.913 head 0.949 0.009 0.947 0.949 0.948 0.97 shin 0.963 0.016 0.909 0.963 0.935 0.973 thigh 0.78 0.033 0.797 0.78 0.788 0.873 upperarm 0.9 0.014 0.916 0.9 0.908 0.943 waist Weighted Avg. 0.88 0.02 0.879 0.88 0.879 0.93 === Confusion Matrix === a b c d e f g <-- classified as 421 11 26 4 8 37 2 | a = chest 6 448 8 3 5 10 27 | b = forearm 20 7 434 1 3 42 1 | c = head 2 2 3 483 11 5 3 | d = shin 1 1 1 7 490 2 7 | e = thigh 29 18 48 7 8 397 2 | f = upperarm 2 22 3 5 14 5 459 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3200 89.8876 % Incorrectly Classified Instances 360 10.1124 % Kappa statistic 0.882 Mean absolute error 0.0289 Root mean squared error 0.17 Relative absolute error 11.7978 % Root relative squared error 48.5752 % Total Number of Instances 3560 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.864 0.022 0.866 0.864 0.865 0.921 chest 0.886 0.011 0.93 0.886 0.907 0.937 forearm 0.854 0.022 0.866 0.854 0.86 0.916 head 0.982 0.007 0.962 0.982 0.972 0.988 shin 0.953 0.011 0.934 0.953 0.943 0.971 thigh 0.813 0.027 0.833 0.813 0.823 0.893 upperarm 0.939 0.018 0.899 0.939 0.919 0.961 waist Weighted Avg. 0.899 0.017 0.898 0.899 0.898 0.941 === Confusion Matrix === a b c d e f g <-- classified as 440 2 19 4 10 31 3 | a = chest 3 449 8 2 7 9 29 | b = forearm 31 3 434 2 0 36 2 | c = head 0 3 1 500 3 2 0 | d = shin 2 1 3 6 484 3 9 | e = thigh 29 8 35 3 9 414 11 | f = upperarm 3 17 1 3 5 2 479 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3141 88.2303 % Incorrectly Classified Instances 419 11.7697 % Kappa statistic 0.8627 Mean absolute error 0.0336 Root mean squared error 0.1834 Relative absolute error 13.7313 % Root relative squared error 52.4047 % Total Number of Instances 3560 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.857 0.021 0.87 0.857 0.863 0.918 chest 0.878 0.016 0.903 0.878 0.89 0.931 forearm 0.844 0.025 0.848 0.844 0.846 0.91 head 0.935 0.011 0.932 0.935 0.933 0.962 shin 0.955 0.016 0.91 0.955 0.932 0.969 thigh 0.786 0.028 0.826 0.786 0.806 0.879 upperarm 0.922 0.02 0.883 0.922 0.902 0.951 waist Weighted Avg. 0.882 0.02 0.882 0.882 0.882 0.931 === Confusion Matrix === a b c d e f g <-- classified as 436 3 27 6 6 31 0 | a = chest 1 445 4 4 10 9 34 | b = forearm 21 11 429 4 2 37 4 | c = head 3 2 4 476 14 2 8 | d = shin 2 1 1 8 485 1 10 | e = thigh 35 9 38 11 10 400 6 | f = upperarm 3 22 3 2 6 4 470 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3140 88.2022 % Incorrectly Classified Instances 420 11.7978 % Kappa statistic 0.8624 Mean absolute error 0.0337 Root mean squared error 0.1836 Relative absolute error 13.7641 % Root relative squared error 52.4672 % Total Number of Instances 3560 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.875 0.024 0.859 0.875 0.867 0.925 chest 0.884 0.018 0.892 0.884 0.888 0.933 forearm 0.831 0.029 0.826 0.831 0.828 0.901 head 0.939 0.008 0.954 0.939 0.946 0.966 shin 0.945 0.012 0.928 0.945 0.937 0.966 thigh 0.79 0.035 0.79 0.79 0.79 0.877 upperarm 0.912 0.012 0.926 0.912 0.919 0.95 waist Weighted Avg. 0.882 0.02 0.882 0.882 0.882 0.931 === Confusion Matrix === a b c d e f g <-- classified as 446 2 22 3 4 33 0 | a = chest 2 448 6 6 9 15 21 | b = forearm 26 11 422 3 1 42 3 | c = head 5 6 4 477 7 6 3 | d = shin 8 2 1 8 480 4 5 | e = thigh 29 9 55 2 7 402 5 | f = upperarm 3 24 1 1 9 7 465 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3163 88.8483 % Incorrectly Classified Instances 397 11.1517 % Kappa statistic 0.8699 Mean absolute error 0.0319 Root mean squared error 0.1785 Relative absolute error 13.0103 % Root relative squared error 51.0104 % Total Number of Instances 3560 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.853 0.018 0.886 0.853 0.869 0.917 chest 0.878 0.014 0.912 0.878 0.894 0.932 forearm 0.856 0.028 0.835 0.856 0.845 0.914 head 0.967 0.01 0.944 0.967 0.955 0.979 shin 0.953 0.012 0.929 0.953 0.941 0.97 thigh 0.8 0.027 0.831 0.8 0.815 0.886 upperarm 0.914 0.021 0.881 0.914 0.897 0.947 waist Weighted Avg. 0.888 0.019 0.888 0.888 0.888 0.935 === Confusion Matrix === a b c d e f g <-- classified as 435 2 25 5 9 31 3 | a = chest 1 445 5 2 8 8 38 | b = forearm 26 3 435 3 3 37 1 | c = head 2 2 4 491 4 1 4 | d = shin 5 2 0 9 484 1 7 | e = thigh 21 6 49 9 7 407 10 | f = upperarm 1 28 3 1 6 5 466 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 9 FOLD: 0 Correctly Classified Instances 3211 90.1713 % Incorrectly Classified Instances 350 9.8287 % Kappa statistic 0.8853 Mean absolute error 0.0281 Root mean squared error 0.1676 Relative absolute error 11.4668 % Root relative squared error 47.8891 % Total Number of Instances 3561 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.862 0.02 0.876 0.862 0.869 0.921 chest 0.907 0.013 0.918 0.907 0.913 0.947 forearm 0.862 0.017 0.892 0.862 0.877 0.922 head 0.978 0.007 0.961 0.978 0.97 0.986 shin 0.959 0.014 0.921 0.959 0.939 0.972 thigh 0.817 0.027 0.837 0.817 0.827 0.895 upperarm 0.925 0.017 0.902 0.925 0.914 0.954 waist Weighted Avg. 0.902 0.016 0.901 0.902 0.901 0.943 === Confusion Matrix === a b c d e f g <-- classified as 439 4 22 2 10 30 2 | a = chest 2 461 2 3 7 5 28 | b = forearm 17 8 438 1 1 40 3 | c = head 3 1 0 497 6 0 1 | d = shin 2 2 2 6 488 1 8 | e = thigh 36 7 26 6 9 416 9 | f = upperarm 2 19 1 2 9 5 472 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3156 88.6268 % Incorrectly Classified Instances 405 11.3732 % Kappa statistic 0.8673 Mean absolute error 0.0325 Root mean squared error 0.1803 Relative absolute error 13.2687 % Root relative squared error 51.5146 % Total Number of Instances 3561 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.833 0.02 0.872 0.833 0.852 0.906 chest 0.898 0.019 0.889 0.898 0.893 0.939 forearm 0.858 0.028 0.837 0.858 0.847 0.915 head 0.951 0.008 0.951 0.951 0.951 0.971 shin 0.967 0.013 0.925 0.967 0.945 0.977 thigh 0.79 0.03 0.812 0.79 0.801 0.88 upperarm 0.908 0.014 0.915 0.908 0.911 0.947 waist Weighted Avg. 0.886 0.019 0.886 0.886 0.886 0.934 === Confusion Matrix === a b c d e f g <-- classified as 424 3 28 8 6 35 5 | a = chest 3 456 6 3 8 10 22 | b = forearm 22 8 436 3 3 33 3 | c = head 3 5 3 483 9 3 2 | d = shin 3 0 1 3 492 4 6 | e = thigh 29 11 45 7 10 402 5 | f = upperarm 2 30 2 1 4 8 463 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3170 89.0199 % Incorrectly Classified Instances 391 10.9801 % Kappa statistic 0.8719 Mean absolute error 0.0314 Root mean squared error 0.1771 Relative absolute error 12.8101 % Root relative squared error 50.6164 % Total Number of Instances 3561 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.874 0.021 0.874 0.874 0.874 0.927 chest 0.866 0.013 0.915 0.866 0.89 0.926 forearm 0.846 0.025 0.851 0.846 0.849 0.911 head 0.972 0.008 0.954 0.972 0.963 0.982 shin 0.943 0.012 0.927 0.943 0.935 0.965 thigh 0.819 0.028 0.831 0.819 0.825 0.896 upperarm 0.91 0.021 0.879 0.91 0.894 0.944 waist Weighted Avg. 0.89 0.018 0.89 0.89 0.89 0.936 === Confusion Matrix === a b c d e f g <-- classified as 445 2 23 1 6 28 4 | a = chest 2 439 9 5 10 7 35 | b = forearm 25 6 430 4 3 38 2 | c = head 1 1 2 495 2 3 5 | d = shin 9 1 1 7 480 2 9 | e = thigh 24 8 39 1 11 417 9 | f = upperarm 3 23 1 6 6 7 464 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3172 89.0761 % Incorrectly Classified Instances 389 10.9239 % Kappa statistic 0.8726 Mean absolute error 0.0312 Root mean squared error 0.1767 Relative absolute error 12.7446 % Root relative squared error 50.4867 % Total Number of Instances 3561 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.882 0.019 0.887 0.882 0.885 0.932 chest 0.878 0.015 0.908 0.878 0.893 0.931 forearm 0.841 0.025 0.851 0.841 0.846 0.908 head 0.972 0.009 0.946 0.972 0.959 0.982 shin 0.959 0.011 0.937 0.959 0.947 0.974 thigh 0.778 0.029 0.818 0.778 0.798 0.875 upperarm 0.925 0.021 0.882 0.925 0.903 0.952 waist Weighted Avg. 0.891 0.018 0.89 0.891 0.89 0.936 === Confusion Matrix === a b c d e f g <-- classified as 449 2 17 6 8 22 5 | a = chest 2 445 4 3 5 14 34 | b = forearm 19 8 428 3 1 46 4 | c = head 1 1 3 495 3 2 4 | d = shin 4 0 1 7 487 1 8 | e = thigh 30 15 50 2 8 396 8 | f = upperarm 1 19 0 7 8 3 472 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3158 88.683 % Incorrectly Classified Instances 403 11.317 % Kappa statistic 0.868 Mean absolute error 0.0323 Root mean squared error 0.1798 Relative absolute error 13.2032 % Root relative squared error 51.3872 % Total Number of Instances 3561 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.892 0.023 0.868 0.892 0.88 0.935 chest 0.862 0.016 0.897 0.862 0.879 0.923 forearm 0.825 0.024 0.852 0.825 0.838 0.901 head 0.955 0.009 0.946 0.955 0.95 0.973 shin 0.957 0.011 0.936 0.957 0.946 0.973 thigh 0.821 0.029 0.828 0.821 0.824 0.896 upperarm 0.896 0.021 0.879 0.896 0.887 0.938 waist Weighted Avg. 0.887 0.019 0.887 0.887 0.887 0.934 === Confusion Matrix === a b c d e f g <-- classified as 454 2 19 7 3 21 3 | a = chest 9 437 3 4 6 8 40 | b = forearm 26 6 420 2 2 48 5 | c = head 1 4 4 486 7 2 5 | d = shin 5 1 1 7 486 3 5 | e = thigh 27 8 44 4 3 418 5 | f = upperarm 1 29 2 4 12 5 457 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3184 89.4131 % Incorrectly Classified Instances 377 10.5869 % Kappa statistic 0.8765 Mean absolute error 0.0302 Root mean squared error 0.1739 Relative absolute error 12.3514 % Root relative squared error 49.7019 % Total Number of Instances 3561 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.837 0.021 0.87 0.837 0.853 0.908 chest 0.895 0.013 0.919 0.895 0.907 0.941 forearm 0.859 0.022 0.867 0.859 0.863 0.918 head 0.945 0.008 0.954 0.945 0.95 0.969 shin 0.974 0.012 0.929 0.974 0.951 0.981 thigh 0.813 0.033 0.805 0.813 0.809 0.89 upperarm 0.935 0.015 0.914 0.935 0.924 0.96 waist Weighted Avg. 0.894 0.018 0.894 0.894 0.894 0.938 === Confusion Matrix === a b c d e f g <-- classified as 427 6 21 6 5 44 1 | a = chest 2 454 6 4 6 5 30 | b = forearm 23 3 437 1 2 41 2 | c = head 4 2 2 480 11 4 5 | d = shin 4 2 1 3 495 1 2 | e = thigh 30 11 34 8 7 414 5 | f = upperarm 1 16 3 1 7 5 477 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3136 88.0899 % Incorrectly Classified Instances 424 11.9101 % Kappa statistic 0.861 Mean absolute error 0.034 Root mean squared error 0.1845 Relative absolute error 13.8951 % Root relative squared error 52.7165 % Total Number of Instances 3560 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.865 0.023 0.861 0.865 0.863 0.921 chest 0.878 0.017 0.894 0.878 0.886 0.93 forearm 0.841 0.026 0.844 0.841 0.842 0.907 head 0.957 0.012 0.927 0.957 0.942 0.972 shin 0.945 0.014 0.916 0.945 0.93 0.965 thigh 0.782 0.028 0.822 0.782 0.802 0.877 upperarm 0.9 0.017 0.896 0.9 0.898 0.941 waist Weighted Avg. 0.881 0.02 0.88 0.881 0.88 0.931 === Confusion Matrix === a b c d e f g <-- classified as 441 1 25 4 9 28 2 | a = chest 5 445 6 4 7 9 31 | b = forearm 27 5 427 4 3 38 4 | c = head 1 3 3 486 6 7 2 | d = shin 4 2 1 13 480 0 8 | e = thigh 31 15 43 10 6 398 6 | f = upperarm 3 27 1 3 13 4 459 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3158 88.7079 % Incorrectly Classified Instances 402 11.2921 % Kappa statistic 0.8683 Mean absolute error 0.0323 Root mean squared error 0.1796 Relative absolute error 13.1742 % Root relative squared error 51.3306 % Total Number of Instances 3560 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.863 0.021 0.871 0.863 0.867 0.921 chest 0.852 0.013 0.915 0.852 0.883 0.919 forearm 0.848 0.023 0.859 0.848 0.853 0.913 head 0.945 0.01 0.938 0.945 0.941 0.967 shin 0.935 0.009 0.944 0.935 0.94 0.963 thigh 0.839 0.03 0.824 0.839 0.832 0.905 upperarm 0.927 0.025 0.863 0.927 0.894 0.951 waist Weighted Avg. 0.887 0.019 0.888 0.887 0.887 0.934 === Confusion Matrix === a b c d e f g <-- classified as 440 4 22 2 7 27 8 | a = chest 4 432 10 6 5 10 40 | b = forearm 25 4 431 4 1 40 3 | c = head 5 5 2 480 7 6 3 | d = shin 4 0 2 12 475 2 13 | e = thigh 25 10 30 5 4 427 8 | f = upperarm 2 17 5 3 4 6 473 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3121 87.6685 % Incorrectly Classified Instances 439 12.3315 % Kappa statistic 0.8561 Mean absolute error 0.0352 Root mean squared error 0.1877 Relative absolute error 14.3867 % Root relative squared error 53.6409 % Total Number of Instances 3560 === 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 0.903 chest 0.866 0.012 0.922 0.866 0.893 0.927 forearm 0.85 0.031 0.82 0.85 0.835 0.91 head 0.955 0.006 0.962 0.955 0.958 0.974 shin 0.955 0.012 0.929 0.955 0.942 0.971 thigh 0.737 0.033 0.789 0.737 0.762 0.852 upperarm 0.941 0.023 0.874 0.941 0.907 0.959 waist Weighted Avg. 0.877 0.021 0.876 0.877 0.876 0.928 === Confusion Matrix === a b c d e f g <-- classified as 425 6 25 6 4 42 2 | a = chest 4 439 5 4 6 8 41 | b = forearm 27 5 432 0 2 40 2 | c = head 2 2 5 485 9 2 3 | d = shin 7 2 3 1 485 2 8 | e = thigh 39 11 55 8 8 375 13 | f = upperarm 3 11 2 0 8 6 480 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3170 89.0449 % Incorrectly Classified Instances 390 10.9551 % Kappa statistic 0.8722 Mean absolute error 0.0313 Root mean squared error 0.1769 Relative absolute error 12.7809 % Root relative squared error 50.5587 % Total Number of Instances 3560 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.884 0.023 0.865 0.884 0.875 0.931 chest 0.899 0.02 0.884 0.899 0.891 0.94 forearm 0.829 0.022 0.864 0.829 0.846 0.904 head 0.97 0.007 0.959 0.97 0.965 0.982 shin 0.943 0.013 0.925 0.943 0.934 0.965 thigh 0.811 0.031 0.813 0.811 0.812 0.89 upperarm 0.896 0.013 0.921 0.896 0.909 0.942 waist Weighted Avg. 0.89 0.018 0.89 0.89 0.89 0.936 === Confusion Matrix === a b c d e f g <-- classified as 450 5 13 0 6 33 2 | a = chest 3 456 5 4 6 9 24 | b = forearm 29 11 421 4 1 41 1 | c = head 0 0 3 493 8 3 1 | d = shin 7 4 1 6 480 3 8 | e = thigh 29 10 40 6 8 413 3 | f = upperarm 2 30 4 1 10 6 457 | g = waist ------------------------------------------------------------------------------------------------------ SUBJECT: 4 RUN: 0 FOLD: 0 Correctly Classified Instances 3287 75.3899 % Incorrectly Classified Instances 1073 24.6101 % Kappa statistic 0.7129 Mean absolute error 0.0703 Root mean squared error 0.2652 Relative absolute error 28.7118 % Root relative squared error 75.7784 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.754 0.057 0.687 0.754 0.719 0.848 chest 0.663 0.03 0.787 0.663 0.72 0.817 forearm 0.714 0.041 0.745 0.714 0.73 0.837 head 0.897 0.025 0.857 0.897 0.877 0.936 shin 0.788 0.031 0.812 0.788 0.8 0.879 thigh 0.62 0.048 0.685 0.62 0.651 0.786 upperarm 0.84 0.057 0.713 0.84 0.771 0.892 waist Weighted Avg. 0.754 0.041 0.755 0.754 0.752 0.856 === Confusion Matrix === a b c d e f g <-- classified as 468 9 34 11 18 50 31 | a = chest 32 411 38 17 18 26 78 | b = forearm 43 23 445 5 14 64 29 | c = head 6 7 1 559 30 4 16 | d = shin 29 6 9 32 491 22 34 | e = thigh 88 27 60 19 19 387 24 | f = upperarm 15 39 10 9 15 12 526 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3260 74.7706 % Incorrectly Classified Instances 1100 25.2294 % Kappa statistic 0.7056 Mean absolute error 0.0721 Root mean squared error 0.2685 Relative absolute error 29.4343 % Root relative squared error 76.7259 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.741 0.054 0.696 0.741 0.718 0.843 chest 0.668 0.028 0.796 0.668 0.726 0.82 forearm 0.708 0.044 0.73 0.708 0.719 0.832 head 0.88 0.023 0.863 0.88 0.871 0.928 shin 0.815 0.032 0.81 0.815 0.813 0.892 thigh 0.604 0.051 0.663 0.604 0.632 0.776 upperarm 0.818 0.062 0.688 0.818 0.747 0.878 waist Weighted Avg. 0.748 0.042 0.749 0.748 0.747 0.853 === Confusion Matrix === a b c d e f g <-- classified as 460 4 35 15 15 71 21 | a = chest 14 414 37 13 20 28 94 | b = forearm 47 24 441 12 12 53 34 | c = head 7 8 4 548 27 13 16 | d = shin 28 8 13 20 508 15 31 | e = thigh 87 25 60 15 24 377 36 | f = upperarm 18 37 14 12 21 12 512 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3284 75.3211 % Incorrectly Classified Instances 1076 24.6789 % Kappa statistic 0.7121 Mean absolute error 0.0705 Root mean squared error 0.2655 Relative absolute error 28.7921 % Root relative squared error 75.8842 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.771 0.059 0.683 0.771 0.725 0.856 chest 0.687 0.029 0.795 0.687 0.737 0.829 forearm 0.713 0.041 0.744 0.713 0.728 0.836 head 0.843 0.021 0.869 0.843 0.856 0.911 shin 0.831 0.033 0.807 0.831 0.819 0.899 thigh 0.607 0.043 0.701 0.607 0.651 0.782 upperarm 0.819 0.061 0.694 0.819 0.752 0.879 waist Weighted Avg. 0.753 0.041 0.756 0.753 0.752 0.856 === Confusion Matrix === a b c d e f g <-- classified as 479 11 28 9 24 52 18 | a = chest 23 426 31 10 16 28 86 | b = forearm 45 24 444 19 7 58 26 | c = head 11 11 7 525 38 7 24 | d = shin 22 4 16 20 518 8 35 | e = thigh 99 27 53 9 20 379 37 | f = upperarm 22 33 18 12 19 9 513 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3304 75.7798 % Incorrectly Classified Instances 1056 24.2202 % Kappa statistic 0.7174 Mean absolute error 0.0692 Root mean squared error 0.2631 Relative absolute error 28.2569 % Root relative squared error 75.1757 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.767 0.056 0.695 0.767 0.729 0.855 chest 0.697 0.028 0.808 0.697 0.748 0.835 forearm 0.729 0.044 0.735 0.729 0.732 0.842 head 0.849 0.022 0.867 0.849 0.858 0.914 shin 0.844 0.032 0.814 0.844 0.829 0.906 thigh 0.62 0.053 0.662 0.62 0.64 0.783 upperarm 0.799 0.049 0.733 0.799 0.765 0.875 waist Weighted Avg. 0.758 0.04 0.759 0.758 0.757 0.859 === Confusion Matrix === a b c d e f g <-- classified as 476 4 44 6 21 54 16 | a = chest 24 433 37 14 15 32 66 | b = forearm 44 17 454 13 12 64 19 | c = head 14 7 7 529 30 15 21 | d = shin 23 7 3 19 526 21 24 | e = thigh 87 23 55 15 21 386 36 | f = upperarm 17 45 18 14 21 11 500 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3241 74.3349 % Incorrectly Classified Instances 1119 25.6651 % Kappa statistic 0.7006 Mean absolute error 0.0733 Root mean squared error 0.2708 Relative absolute error 29.9427 % Root relative squared error 77.3856 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.694 0.058 0.664 0.694 0.679 0.818 chest 0.659 0.026 0.805 0.659 0.725 0.816 forearm 0.705 0.048 0.71 0.705 0.707 0.828 head 0.872 0.024 0.861 0.872 0.866 0.924 shin 0.795 0.035 0.789 0.795 0.792 0.88 thigh 0.655 0.056 0.659 0.655 0.657 0.799 upperarm 0.824 0.051 0.729 0.824 0.774 0.886 waist Weighted Avg. 0.743 0.043 0.745 0.743 0.743 0.85 === Confusion Matrix === a b c d e f g <-- classified as 431 6 47 14 27 70 26 | a = chest 30 409 46 19 24 27 66 | b = forearm 50 25 439 12 6 70 21 | c = head 11 9 3 543 34 11 12 | d = shin 33 3 14 20 495 20 38 | e = thigh 78 17 59 10 22 408 29 | f = upperarm 16 39 10 13 19 13 516 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3283 75.2982 % Incorrectly Classified Instances 1077 24.7018 % Kappa statistic 0.7118 Mean absolute error 0.0706 Root mean squared error 0.2657 Relative absolute error 28.8188 % Root relative squared error 75.9195 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.746 0.061 0.671 0.746 0.706 0.842 chest 0.663 0.027 0.805 0.663 0.727 0.818 forearm 0.73 0.041 0.746 0.73 0.738 0.844 head 0.883 0.018 0.89 0.883 0.886 0.932 shin 0.83 0.032 0.813 0.83 0.821 0.899 thigh 0.612 0.054 0.656 0.612 0.633 0.779 upperarm 0.807 0.056 0.708 0.807 0.754 0.876 waist Weighted Avg. 0.753 0.041 0.755 0.753 0.752 0.856 === Confusion Matrix === a b c d e f g <-- classified as 463 11 28 10 18 64 27 | a = chest 26 412 43 4 17 33 86 | b = forearm 44 22 455 10 14 65 13 | c = head 8 3 4 550 29 13 16 | d = shin 26 6 9 17 517 16 32 | e = thigh 96 20 55 13 24 381 34 | f = upperarm 27 38 16 14 17 9 505 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3289 75.4358 % Incorrectly Classified Instances 1071 24.5642 % Kappa statistic 0.7134 Mean absolute error 0.0702 Root mean squared error 0.2649 Relative absolute error 28.6583 % Root relative squared error 75.7077 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.755 0.059 0.679 0.755 0.715 0.848 chest 0.696 0.035 0.767 0.696 0.73 0.83 forearm 0.692 0.038 0.751 0.692 0.72 0.827 head 0.881 0.022 0.867 0.881 0.874 0.929 shin 0.817 0.027 0.833 0.817 0.825 0.895 thigh 0.61 0.049 0.675 0.61 0.641 0.78 upperarm 0.829 0.055 0.716 0.829 0.768 0.887 waist Weighted Avg. 0.754 0.041 0.755 0.754 0.753 0.857 === Confusion Matrix === a b c d e f g <-- classified as 469 7 39 9 20 51 26 | a = chest 26 432 36 9 15 25 78 | b = forearm 51 34 431 8 4 73 22 | c = head 11 10 6 549 25 8 14 | d = shin 28 6 9 29 509 15 27 | e = thigh 93 24 47 19 21 380 39 | f = upperarm 13 50 6 10 17 11 519 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3182 72.9817 % Incorrectly Classified Instances 1178 27.0183 % Kappa statistic 0.6848 Mean absolute error 0.0772 Root mean squared error 0.2778 Relative absolute error 31.5214 % Root relative squared error 79.3996 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.722 0.069 0.634 0.722 0.675 0.826 chest 0.653 0.034 0.761 0.653 0.703 0.81 forearm 0.708 0.046 0.719 0.708 0.714 0.831 head 0.862 0.02 0.879 0.862 0.87 0.921 shin 0.787 0.035 0.789 0.787 0.788 0.876 thigh 0.567 0.053 0.64 0.567 0.602 0.757 upperarm 0.81 0.058 0.701 0.81 0.752 0.876 waist Weighted Avg. 0.73 0.045 0.732 0.73 0.729 0.842 === Confusion Matrix === a b c d e f g <-- classified as 449 3 41 14 25 70 20 | a = chest 27 405 41 9 19 29 90 | b = forearm 53 35 441 6 9 61 18 | c = head 12 4 5 536 36 12 17 | d = shin 39 5 7 27 490 17 38 | e = thigh 110 27 68 9 23 354 33 | f = upperarm 18 53 10 9 19 10 507 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3249 74.5183 % Incorrectly Classified Instances 1111 25.4817 % Kappa statistic 0.7027 Mean absolute error 0.0728 Root mean squared error 0.2698 Relative absolute error 29.7286 % Root relative squared error 77.1085 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.699 0.057 0.672 0.699 0.686 0.821 chest 0.676 0.032 0.78 0.676 0.724 0.822 forearm 0.713 0.047 0.716 0.713 0.714 0.833 head 0.878 0.024 0.858 0.878 0.868 0.927 shin 0.827 0.031 0.815 0.827 0.821 0.898 thigh 0.604 0.055 0.648 0.604 0.625 0.775 upperarm 0.819 0.052 0.727 0.819 0.77 0.884 waist Weighted Avg. 0.745 0.042 0.745 0.745 0.744 0.851 === Confusion Matrix === a b c d e f g <-- classified as 435 12 41 9 28 72 25 | a = chest 31 419 44 17 19 29 61 | b = forearm 48 20 444 13 13 65 20 | c = head 4 6 4 546 26 15 21 | d = shin 24 7 7 24 515 14 32 | e = thigh 88 27 64 17 17 377 34 | f = upperarm 17 46 16 10 14 10 513 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3263 74.8566 % Incorrectly Classified Instances 1096 25.1434 % Kappa statistic 0.7067 Mean absolute error 0.0718 Root mean squared error 0.268 Relative absolute error 29.334 % Root relative squared error 76.595 % Total Number of Instances 4359 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.732 0.055 0.689 0.732 0.71 0.838 chest 0.682 0.03 0.792 0.682 0.733 0.826 forearm 0.743 0.04 0.757 0.743 0.75 0.852 head 0.871 0.025 0.852 0.871 0.862 0.923 shin 0.822 0.031 0.815 0.822 0.818 0.895 thigh 0.593 0.058 0.631 0.593 0.612 0.768 upperarm 0.797 0.055 0.709 0.797 0.75 0.871 waist Weighted Avg. 0.749 0.042 0.749 0.749 0.748 0.853 === Confusion Matrix === a b c d e f g <-- classified as 455 4 36 11 18 75 23 | a = chest 25 423 46 10 12 25 79 | b = forearm 40 20 463 12 7 62 19 | c = head 5 3 3 542 33 19 17 | d = shin 30 7 8 18 511 23 25 | e = thigh 86 26 50 20 30 370 42 | f = upperarm 19 51 6 23 16 12 499 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 1 FOLD: 0 Correctly Classified Instances 3236 74.2202 % Incorrectly Classified Instances 1124 25.7798 % Kappa statistic 0.6992 Mean absolute error 0.0737 Root mean squared error 0.2714 Relative absolute error 30.0765 % Root relative squared error 77.5583 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.744 0.059 0.678 0.744 0.71 0.843 chest 0.681 0.035 0.762 0.681 0.719 0.823 forearm 0.69 0.039 0.745 0.69 0.717 0.825 head 0.889 0.028 0.84 0.889 0.864 0.93 shin 0.806 0.034 0.799 0.806 0.803 0.886 thigh 0.6 0.054 0.648 0.6 0.623 0.773 upperarm 0.784 0.051 0.72 0.784 0.751 0.867 waist Weighted Avg. 0.742 0.043 0.742 0.742 0.741 0.85 === Confusion Matrix === a b c d e f g <-- classified as 463 8 38 10 14 68 21 | a = chest 28 423 32 16 13 30 79 | b = forearm 40 32 430 19 15 66 21 | c = head 7 3 2 553 31 15 11 | d = shin 31 7 5 29 502 19 30 | e = thigh 96 25 54 18 27 374 29 | f = upperarm 18 57 16 13 26 5 491 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3252 74.5872 % Incorrectly Classified Instances 1108 25.4128 % Kappa statistic 0.7035 Mean absolute error 0.0726 Root mean squared error 0.2695 Relative absolute error 29.6483 % Root relative squared error 77.0043 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.744 0.055 0.692 0.744 0.717 0.845 chest 0.686 0.038 0.751 0.686 0.717 0.824 forearm 0.701 0.039 0.752 0.701 0.726 0.831 head 0.863 0.024 0.856 0.863 0.86 0.92 shin 0.827 0.033 0.808 0.827 0.817 0.897 thigh 0.602 0.051 0.661 0.602 0.63 0.775 upperarm 0.797 0.057 0.701 0.797 0.746 0.87 waist Weighted Avg. 0.746 0.042 0.746 0.746 0.745 0.852 === Confusion Matrix === a b c d e f g <-- classified as 463 11 31 14 24 54 25 | a = chest 28 426 36 11 14 26 80 | b = forearm 42 30 437 11 7 73 23 | c = head 6 5 0 537 38 15 21 | d = shin 28 6 11 26 515 11 26 | e = thigh 93 37 50 13 17 375 38 | f = upperarm 9 52 16 15 22 13 499 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3221 73.8761 % Incorrectly Classified Instances 1139 26.1239 % Kappa statistic 0.6952 Mean absolute error 0.0746 Root mean squared error 0.2732 Relative absolute error 30.4779 % Root relative squared error 78.0741 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.749 0.067 0.651 0.749 0.697 0.841 chest 0.697 0.034 0.772 0.697 0.733 0.832 forearm 0.721 0.043 0.736 0.721 0.728 0.839 head 0.846 0.023 0.86 0.846 0.853 0.911 shin 0.778 0.033 0.796 0.778 0.787 0.873 thigh 0.568 0.05 0.653 0.568 0.608 0.759 upperarm 0.812 0.054 0.714 0.812 0.76 0.879 waist Weighted Avg. 0.739 0.044 0.74 0.739 0.738 0.848 === Confusion Matrix === a b c d e f g <-- classified as 465 10 28 10 21 65 22 | a = chest 28 433 38 8 21 28 65 | b = forearm 59 22 449 9 10 54 20 | c = head 13 7 5 527 35 9 27 | d = shin 32 10 12 28 485 22 34 | e = thigh 101 31 61 14 27 354 35 | f = upperarm 16 48 17 17 10 10 508 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3311 75.9404 % Incorrectly Classified Instances 1049 24.0596 % Kappa statistic 0.7193 Mean absolute error 0.0687 Root mean squared error 0.2622 Relative absolute error 28.0696 % Root relative squared error 74.9261 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.721 0.059 0.671 0.721 0.695 0.831 chest 0.696 0.029 0.797 0.696 0.743 0.833 forearm 0.721 0.044 0.734 0.721 0.727 0.839 head 0.865 0.015 0.904 0.865 0.884 0.925 shin 0.839 0.032 0.816 0.839 0.827 0.904 thigh 0.622 0.048 0.682 0.622 0.65 0.787 upperarm 0.851 0.054 0.727 0.851 0.784 0.899 waist Weighted Avg. 0.759 0.04 0.761 0.759 0.759 0.86 === Confusion Matrix === a b c d e f g <-- classified as 448 9 47 11 19 62 25 | a = chest 28 432 43 5 19 24 70 | b = forearm 39 25 449 10 9 60 31 | c = head 12 12 5 539 37 8 10 | d = shin 30 5 7 16 522 18 24 | e = thigh 94 23 55 8 16 388 40 | f = upperarm 17 36 6 7 18 9 533 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3224 73.945 % Incorrectly Classified Instances 1136 26.055 % Kappa statistic 0.696 Mean absolute error 0.0744 Root mean squared error 0.2728 Relative absolute error 30.3976 % Root relative squared error 77.9713 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.712 0.062 0.658 0.712 0.684 0.825 chest 0.677 0.034 0.768 0.677 0.72 0.822 forearm 0.722 0.047 0.721 0.722 0.722 0.838 head 0.848 0.019 0.883 0.848 0.865 0.914 shin 0.846 0.034 0.805 0.846 0.825 0.906 thigh 0.587 0.056 0.634 0.587 0.609 0.765 upperarm 0.784 0.052 0.715 0.784 0.748 0.866 waist Weighted Avg. 0.739 0.043 0.74 0.739 0.739 0.848 === Confusion Matrix === a b c d e f g <-- classified as 442 4 37 8 26 75 29 | a = chest 31 420 40 12 14 28 75 | b = forearm 49 22 450 6 12 65 19 | c = head 16 7 8 528 32 10 22 | d = shin 18 5 11 15 527 20 27 | e = thigh 94 37 66 17 20 366 24 | f = upperarm 22 52 12 12 24 13 491 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3321 76.1697 % Incorrectly Classified Instances 1039 23.8303 % Kappa statistic 0.722 Mean absolute error 0.0681 Root mean squared error 0.2609 Relative absolute error 27.802 % Root relative squared error 74.5681 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.762 0.051 0.713 0.762 0.737 0.855 chest 0.658 0.029 0.788 0.658 0.717 0.814 forearm 0.727 0.044 0.732 0.727 0.729 0.841 head 0.897 0.016 0.903 0.897 0.9 0.941 shin 0.83 0.037 0.787 0.83 0.808 0.896 thigh 0.625 0.048 0.685 0.625 0.654 0.789 upperarm 0.832 0.052 0.729 0.832 0.777 0.89 waist Weighted Avg. 0.762 0.04 0.762 0.762 0.76 0.861 === Confusion Matrix === a b c d e f g <-- classified as 473 8 33 9 23 54 21 | a = chest 25 408 47 11 26 28 75 | b = forearm 51 17 453 8 9 63 22 | c = head 2 3 3 559 31 7 18 | d = shin 28 7 6 19 517 20 26 | e = thigh 64 35 63 9 31 390 32 | f = upperarm 20 40 14 4 20 7 521 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3239 74.289 % Incorrectly Classified Instances 1121 25.711 % Kappa statistic 0.7 Mean absolute error 0.0735 Root mean squared error 0.271 Relative absolute error 29.9962 % Root relative squared error 77.4548 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.734 0.066 0.65 0.734 0.689 0.834 chest 0.666 0.026 0.808 0.666 0.73 0.82 forearm 0.7 0.044 0.724 0.7 0.712 0.828 head 0.868 0.024 0.86 0.868 0.864 0.922 shin 0.828 0.041 0.77 0.828 0.798 0.894 thigh 0.609 0.047 0.683 0.609 0.644 0.781 upperarm 0.794 0.052 0.72 0.794 0.755 0.871 waist Weighted Avg. 0.743 0.043 0.745 0.743 0.742 0.85 === Confusion Matrix === a b c d e f g <-- classified as 456 5 45 9 28 59 19 | a = chest 33 413 38 16 19 17 84 | b = forearm 62 25 436 11 7 69 13 | c = head 8 5 3 541 40 11 15 | d = shin 28 9 7 20 516 11 32 | e = thigh 91 21 62 11 29 380 30 | f = upperarm 24 33 11 21 31 9 497 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3272 75.0459 % Incorrectly Classified Instances 1088 24.9541 % Kappa statistic 0.7089 Mean absolute error 0.0713 Root mean squared error 0.267 Relative absolute error 29.1132 % Root relative squared error 76.3062 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.731 0.062 0.662 0.731 0.695 0.835 chest 0.685 0.033 0.777 0.685 0.728 0.826 forearm 0.706 0.041 0.739 0.706 0.722 0.832 head 0.86 0.025 0.849 0.86 0.855 0.917 shin 0.827 0.031 0.815 0.827 0.821 0.898 thigh 0.601 0.043 0.698 0.601 0.646 0.779 upperarm 0.842 0.055 0.72 0.842 0.776 0.893 waist Weighted Avg. 0.75 0.042 0.752 0.75 0.749 0.854 === Confusion Matrix === a b c d e f g <-- classified as 454 12 36 13 24 59 23 | a = chest 20 425 39 21 19 22 74 | b = forearm 55 29 440 10 13 48 28 | c = head 12 8 6 536 30 15 16 | d = shin 31 4 8 22 515 8 35 | e = thigh 91 34 56 17 22 375 29 | f = upperarm 23 35 10 12 9 10 527 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3301 75.711 % Incorrectly Classified Instances 1059 24.289 % Kappa statistic 0.7166 Mean absolute error 0.0694 Root mean squared error 0.2634 Relative absolute error 28.3372 % Root relative squared error 75.2824 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.738 0.059 0.674 0.738 0.704 0.839 chest 0.673 0.028 0.799 0.673 0.73 0.822 forearm 0.746 0.039 0.764 0.746 0.755 0.854 head 0.873 0.021 0.875 0.873 0.874 0.926 shin 0.803 0.03 0.816 0.803 0.809 0.886 thigh 0.623 0.051 0.67 0.623 0.646 0.786 upperarm 0.843 0.055 0.72 0.843 0.777 0.894 waist Weighted Avg. 0.757 0.04 0.759 0.757 0.756 0.858 === Confusion Matrix === a b c d e f g <-- classified as 458 11 40 5 18 64 25 | a = chest 30 417 47 6 15 28 77 | b = forearm 40 22 465 14 11 57 14 | c = head 5 9 2 544 23 18 22 | d = shin 31 4 11 27 500 14 36 | e = thigh 98 20 39 17 30 389 31 | f = upperarm 18 39 5 9 16 11 528 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3237 74.2602 % Incorrectly Classified Instances 1122 25.7398 % Kappa statistic 0.6997 Mean absolute error 0.0735 Root mean squared error 0.2712 Relative absolute error 30.0299 % Root relative squared error 77.4982 % Total Number of Instances 4359 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.733 0.057 0.682 0.733 0.706 0.838 chest 0.697 0.04 0.745 0.697 0.72 0.829 forearm 0.689 0.044 0.722 0.689 0.705 0.822 head 0.867 0.018 0.887 0.867 0.876 0.924 shin 0.817 0.034 0.799 0.817 0.808 0.891 thigh 0.604 0.054 0.652 0.604 0.627 0.775 upperarm 0.792 0.053 0.715 0.792 0.752 0.87 waist Weighted Avg. 0.743 0.043 0.743 0.743 0.742 0.85 === Confusion Matrix === a b c d e f g <-- classified as 456 7 41 8 29 66 15 | a = chest 17 432 36 7 21 30 77 | b = forearm 37 39 429 10 15 74 19 | c = head 11 16 4 539 31 10 11 | d = shin 28 7 10 19 509 12 38 | e = thigh 94 22 64 14 15 376 38 | f = upperarm 26 57 10 11 17 9 496 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 2 FOLD: 0 Correctly Classified Instances 3290 75.4587 % Incorrectly Classified Instances 1070 24.5413 % Kappa statistic 0.7137 Mean absolute error 0.0701 Root mean squared error 0.2648 Relative absolute error 28.6315 % Root relative squared error 75.6724 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.704 0.058 0.67 0.704 0.687 0.823 chest 0.708 0.033 0.781 0.708 0.743 0.838 forearm 0.729 0.04 0.753 0.729 0.741 0.844 head 0.875 0.021 0.872 0.875 0.873 0.927 shin 0.833 0.032 0.811 0.833 0.822 0.9 thigh 0.625 0.054 0.66 0.625 0.642 0.786 upperarm 0.808 0.048 0.737 0.808 0.771 0.88 waist Weighted Avg. 0.755 0.041 0.755 0.755 0.754 0.857 === Confusion Matrix === a b c d e f g <-- classified as 437 7 38 13 25 77 24 | a = chest 19 439 40 11 13 23 75 | b = forearm 39 33 454 9 6 63 19 | c = head 7 5 3 545 36 12 15 | d = shin 36 5 10 16 519 14 23 | e = thigh 100 25 50 17 17 390 25 | f = upperarm 14 48 8 14 24 12 506 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3272 75.0459 % Incorrectly Classified Instances 1088 24.9541 % Kappa statistic 0.7089 Mean absolute error 0.0713 Root mean squared error 0.267 Relative absolute error 29.1132 % Root relative squared error 76.3062 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.757 0.061 0.674 0.757 0.713 0.848 chest 0.658 0.026 0.808 0.658 0.725 0.816 forearm 0.713 0.036 0.766 0.713 0.738 0.838 head 0.88 0.026 0.848 0.88 0.864 0.927 shin 0.817 0.035 0.798 0.817 0.807 0.891 thigh 0.599 0.054 0.652 0.599 0.624 0.773 upperarm 0.829 0.054 0.721 0.829 0.771 0.888 waist Weighted Avg. 0.75 0.042 0.752 0.75 0.749 0.854 === Confusion Matrix === a b c d e f g <-- classified as 470 5 29 6 23 59 29 | a = chest 29 408 37 13 22 34 77 | b = forearm 47 21 444 18 2 68 23 | c = head 12 5 3 548 31 12 12 | d = shin 25 5 11 29 509 16 28 | e = thigh 100 23 49 17 29 374 32 | f = upperarm 14 38 7 15 22 11 519 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3220 73.8532 % Incorrectly Classified Instances 1140 26.1468 % Kappa statistic 0.6949 Mean absolute error 0.0747 Root mean squared error 0.2733 Relative absolute error 30.5046 % Root relative squared error 78.1084 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.768 0.065 0.663 0.768 0.712 0.852 chest 0.681 0.031 0.786 0.681 0.729 0.825 forearm 0.703 0.045 0.72 0.703 0.712 0.829 head 0.851 0.025 0.848 0.851 0.849 0.913 shin 0.787 0.031 0.81 0.787 0.798 0.878 thigh 0.595 0.054 0.65 0.595 0.621 0.771 upperarm 0.786 0.054 0.708 0.786 0.745 0.866 waist Weighted Avg. 0.739 0.044 0.741 0.739 0.738 0.847 === Confusion Matrix === a b c d e f g <-- classified as 477 7 36 9 18 55 19 | a = chest 35 422 40 9 14 27 73 | b = forearm 48 29 438 12 8 66 22 | c = head 11 9 5 530 32 15 21 | d = shin 34 5 10 28 490 25 31 | e = thigh 87 25 65 18 21 371 37 | f = upperarm 27 40 14 19 22 12 492 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3256 74.6789 % Incorrectly Classified Instances 1104 25.3211 % Kappa statistic 0.7046 Mean absolute error 0.0723 Root mean squared error 0.269 Relative absolute error 29.5413 % Root relative squared error 76.8652 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.746 0.063 0.663 0.746 0.702 0.841 chest 0.684 0.029 0.794 0.684 0.735 0.827 forearm 0.713 0.044 0.731 0.713 0.722 0.835 head 0.868 0.022 0.87 0.868 0.869 0.923 shin 0.796 0.028 0.824 0.796 0.81 0.884 thigh 0.59 0.051 0.658 0.59 0.622 0.769 upperarm 0.831 0.058 0.705 0.831 0.762 0.886 waist Weighted Avg. 0.747 0.042 0.749 0.747 0.746 0.852 === Confusion Matrix === a b c d e f g <-- classified as 463 6 41 10 20 59 22 | a = chest 25 424 30 11 21 23 86 | b = forearm 49 20 444 10 14 64 22 | c = head 14 8 5 541 25 13 17 | d = shin 32 3 9 24 496 23 36 | e = thigh 100 33 63 12 13 368 35 | f = upperarm 15 40 15 14 13 9 520 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3235 74.1972 % Incorrectly Classified Instances 1125 25.8028 % Kappa statistic 0.699 Mean absolute error 0.0737 Root mean squared error 0.2715 Relative absolute error 30.1032 % Root relative squared error 77.5929 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.729 0.063 0.657 0.729 0.691 0.833 chest 0.687 0.029 0.795 0.687 0.737 0.829 forearm 0.709 0.043 0.733 0.709 0.721 0.833 head 0.854 0.022 0.865 0.854 0.859 0.916 shin 0.819 0.036 0.793 0.819 0.806 0.892 thigh 0.588 0.052 0.653 0.588 0.619 0.768 upperarm 0.807 0.055 0.71 0.807 0.755 0.876 waist Weighted Avg. 0.742 0.043 0.744 0.742 0.741 0.849 === Confusion Matrix === a b c d e f g <-- classified as 453 5 39 14 23 63 24 | a = chest 32 426 36 6 16 35 69 | b = forearm 43 23 442 11 19 63 22 | c = head 11 5 3 532 36 13 23 | d = shin 41 7 10 20 510 12 23 | e = thigh 91 21 62 17 21 367 45 | f = upperarm 19 49 11 15 18 9 505 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3273 75.0688 % Incorrectly Classified Instances 1087 24.9312 % Kappa statistic 0.7091 Mean absolute error 0.0712 Root mean squared error 0.2669 Relative absolute error 29.0864 % Root relative squared error 76.2711 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.736 0.06 0.672 0.736 0.703 0.838 chest 0.676 0.026 0.814 0.676 0.739 0.825 forearm 0.75 0.048 0.722 0.75 0.735 0.851 head 0.883 0.022 0.869 0.883 0.876 0.93 shin 0.81 0.032 0.806 0.81 0.808 0.889 thigh 0.591 0.047 0.676 0.591 0.631 0.772 upperarm 0.808 0.055 0.71 0.808 0.756 0.876 waist Weighted Avg. 0.751 0.042 0.753 0.751 0.75 0.855 === Confusion Matrix === a b c d e f g <-- classified as 457 6 46 7 23 54 28 | a = chest 28 420 29 19 20 29 76 | b = forearm 49 19 467 9 10 50 19 | c = head 8 5 2 550 34 11 13 | d = shin 20 4 8 32 504 17 37 | e = thigh 97 20 79 5 20 369 34 | f = upperarm 21 42 16 11 14 16 506 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3306 75.8257 % Incorrectly Classified Instances 1054 24.1743 % Kappa statistic 0.718 Mean absolute error 0.0691 Root mean squared error 0.2628 Relative absolute error 28.2034 % Root relative squared error 75.1044 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.743 0.056 0.69 0.743 0.715 0.844 chest 0.647 0.03 0.784 0.647 0.709 0.809 forearm 0.734 0.045 0.732 0.734 0.733 0.844 head 0.899 0.018 0.89 0.899 0.894 0.94 shin 0.841 0.033 0.807 0.841 0.824 0.904 thigh 0.637 0.044 0.705 0.637 0.669 0.796 upperarm 0.807 0.056 0.708 0.807 0.754 0.876 waist Weighted Avg. 0.758 0.04 0.759 0.758 0.757 0.859 === Confusion Matrix === a b c d e f g <-- classified as 462 8 33 13 22 54 30 | a = chest 27 402 55 8 22 31 76 | b = forearm 54 20 457 6 9 58 19 | c = head 3 2 5 559 27 8 18 | d = shin 22 3 11 18 524 11 34 | e = thigh 80 27 51 12 25 397 31 | f = upperarm 22 51 12 12 20 4 505 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3237 74.2431 % Incorrectly Classified Instances 1123 25.7569 % Kappa statistic 0.6995 Mean absolute error 0.0736 Root mean squared error 0.2713 Relative absolute error 30.0497 % Root relative squared error 77.5238 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.706 0.056 0.679 0.706 0.692 0.825 chest 0.644 0.027 0.798 0.644 0.713 0.809 forearm 0.682 0.043 0.728 0.682 0.704 0.82 head 0.854 0.019 0.884 0.854 0.868 0.917 shin 0.836 0.038 0.786 0.836 0.81 0.899 thigh 0.657 0.066 0.623 0.657 0.639 0.795 upperarm 0.818 0.052 0.724 0.818 0.768 0.883 waist Weighted Avg. 0.742 0.043 0.746 0.742 0.742 0.85 === Confusion Matrix === a b c d e f g <-- classified as 439 5 42 10 26 82 18 | a = chest 28 400 53 12 22 31 75 | b = forearm 44 26 425 9 14 85 20 | c = head 8 10 2 531 34 17 20 | d = shin 21 4 6 21 521 20 30 | e = thigh 92 17 40 9 24 409 32 | f = upperarm 15 39 16 9 22 13 512 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3286 75.367 % Incorrectly Classified Instances 1074 24.633 % Kappa statistic 0.7126 Mean absolute error 0.0704 Root mean squared error 0.2653 Relative absolute error 28.7386 % Root relative squared error 75.8137 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.756 0.056 0.69 0.756 0.721 0.85 chest 0.667 0.026 0.809 0.667 0.731 0.82 forearm 0.722 0.042 0.743 0.722 0.732 0.84 head 0.883 0.027 0.845 0.883 0.863 0.928 shin 0.806 0.025 0.842 0.806 0.824 0.89 thigh 0.62 0.056 0.649 0.62 0.634 0.782 upperarm 0.823 0.055 0.715 0.823 0.765 0.884 waist Weighted Avg. 0.754 0.041 0.756 0.754 0.753 0.856 === Confusion Matrix === a b c d e f g <-- classified as 470 3 37 10 15 66 21 | a = chest 29 414 44 14 14 33 73 | b = forearm 40 24 450 14 9 61 25 | c = head 7 4 9 549 20 14 19 | d = shin 26 4 4 29 502 21 37 | e = thigh 91 22 49 23 22 386 30 | f = upperarm 18 41 13 11 14 14 515 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3259 74.7649 % Incorrectly Classified Instances 1100 25.2351 % Kappa statistic 0.7056 Mean absolute error 0.0721 Root mean squared error 0.2685 Relative absolute error 29.441 % Root relative squared error 76.7347 % Total Number of Instances 4359 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.747 0.064 0.659 0.747 0.7 0.841 chest 0.668 0.026 0.807 0.668 0.731 0.821 forearm 0.716 0.048 0.711 0.716 0.714 0.834 head 0.867 0.025 0.854 0.867 0.861 0.921 shin 0.819 0.032 0.81 0.819 0.814 0.893 thigh 0.602 0.045 0.689 0.602 0.643 0.778 upperarm 0.815 0.053 0.719 0.815 0.764 0.881 waist Weighted Avg. 0.748 0.042 0.75 0.748 0.747 0.853 === Confusion Matrix === a b c d e f g <-- classified as 464 8 44 11 21 55 18 | a = chest 27 414 48 16 18 20 77 | b = forearm 56 16 446 16 9 62 18 | c = head 11 6 5 540 36 7 18 | d = shin 34 4 14 14 510 15 32 | e = thigh 88 25 58 21 20 375 36 | f = upperarm 24 40 12 14 16 10 510 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 3 FOLD: 0 Correctly Classified Instances 3265 74.8853 % Incorrectly Classified Instances 1095 25.1147 % Kappa statistic 0.707 Mean absolute error 0.0718 Root mean squared error 0.2679 Relative absolute error 29.3005 % Root relative squared error 76.5513 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.734 0.061 0.668 0.734 0.699 0.837 chest 0.68 0.031 0.784 0.68 0.728 0.824 forearm 0.762 0.041 0.754 0.762 0.758 0.86 head 0.857 0.02 0.878 0.857 0.868 0.919 shin 0.815 0.037 0.785 0.815 0.8 0.889 thigh 0.583 0.047 0.673 0.583 0.625 0.768 upperarm 0.81 0.056 0.709 0.81 0.756 0.877 waist Weighted Avg. 0.749 0.042 0.75 0.749 0.748 0.853 === Confusion Matrix === a b c d e f g <-- classified as 456 6 47 11 20 57 24 | a = chest 23 422 29 12 22 24 89 | b = forearm 44 19 475 6 6 51 22 | c = head 9 6 6 534 34 18 16 | d = shin 33 10 10 21 508 18 23 | e = thigh 96 31 51 17 31 363 34 | f = upperarm 22 44 12 7 26 8 507 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3271 75.0229 % Incorrectly Classified Instances 1089 24.9771 % Kappa statistic 0.7086 Mean absolute error 0.0714 Root mean squared error 0.2671 Relative absolute error 29.1399 % Root relative squared error 76.3413 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.715 0.058 0.674 0.715 0.694 0.829 chest 0.702 0.035 0.77 0.702 0.735 0.834 forearm 0.709 0.045 0.722 0.709 0.716 0.832 head 0.864 0.022 0.865 0.864 0.864 0.921 shin 0.819 0.036 0.791 0.819 0.804 0.891 thigh 0.613 0.043 0.702 0.613 0.655 0.785 upperarm 0.829 0.052 0.729 0.829 0.776 0.889 waist Weighted Avg. 0.75 0.042 0.75 0.75 0.749 0.854 === Confusion Matrix === a b c d e f g <-- classified as 444 16 41 10 30 57 23 | a = chest 19 436 42 12 24 21 67 | b = forearm 47 29 442 16 15 53 21 | c = head 12 5 4 538 36 11 17 | d = shin 32 6 7 23 510 13 32 | e = thigh 87 28 63 13 17 382 33 | f = upperarm 18 46 13 10 13 7 519 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3249 74.5183 % Incorrectly Classified Instances 1111 25.4817 % Kappa statistic 0.7027 Mean absolute error 0.0728 Root mean squared error 0.2698 Relative absolute error 29.7286 % Root relative squared error 77.1085 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.747 0.064 0.659 0.747 0.7 0.841 chest 0.709 0.035 0.769 0.709 0.738 0.837 forearm 0.677 0.04 0.74 0.677 0.707 0.819 head 0.848 0.026 0.845 0.848 0.846 0.911 shin 0.819 0.036 0.793 0.819 0.806 0.892 thigh 0.616 0.052 0.663 0.616 0.639 0.782 upperarm 0.8 0.044 0.751 0.8 0.775 0.878 waist Weighted Avg. 0.745 0.042 0.746 0.745 0.745 0.851 === Confusion Matrix === a b c d e f g <-- classified as 464 13 26 12 26 63 17 | a = chest 35 440 34 13 14 26 59 | b = forearm 57 26 422 14 12 73 19 | c = head 9 10 5 528 38 11 22 | d = shin 26 6 13 28 510 14 26 | e = thigh 96 30 52 16 22 384 23 | f = upperarm 17 47 18 14 21 8 501 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3228 74.0367 % Incorrectly Classified Instances 1132 25.9633 % Kappa statistic 0.6971 Mean absolute error 0.0742 Root mean squared error 0.2724 Relative absolute error 30.2906 % Root relative squared error 77.8339 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.709 0.063 0.652 0.709 0.679 0.823 chest 0.675 0.032 0.779 0.675 0.723 0.821 forearm 0.7 0.04 0.744 0.7 0.721 0.83 head 0.872 0.022 0.866 0.872 0.869 0.925 shin 0.804 0.03 0.817 0.804 0.811 0.887 thigh 0.592 0.055 0.641 0.592 0.616 0.768 upperarm 0.831 0.06 0.698 0.831 0.759 0.885 waist Weighted Avg. 0.74 0.043 0.742 0.74 0.74 0.849 === Confusion Matrix === a b c d e f g <-- classified as 440 8 43 12 21 66 31 | a = chest 35 419 33 6 15 34 79 | b = forearm 48 24 436 18 10 63 24 | c = head 5 5 5 543 29 9 27 | d = shin 30 6 7 23 501 26 30 | e = thigh 106 28 53 10 23 369 34 | f = upperarm 11 48 9 15 14 9 520 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3336 76.5138 % Incorrectly Classified Instances 1024 23.4862 % Kappa statistic 0.726 Mean absolute error 0.0671 Root mean squared error 0.259 Relative absolute error 27.4006 % Root relative squared error 74.0279 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.758 0.053 0.705 0.758 0.731 0.853 chest 0.685 0.027 0.806 0.685 0.741 0.829 forearm 0.729 0.047 0.721 0.729 0.725 0.841 head 0.886 0.021 0.876 0.886 0.881 0.933 shin 0.828 0.024 0.851 0.828 0.84 0.902 thigh 0.636 0.049 0.683 0.636 0.659 0.793 upperarm 0.832 0.053 0.726 0.832 0.775 0.89 waist Weighted Avg. 0.765 0.039 0.767 0.765 0.765 0.863 === Confusion Matrix === a b c d e f g <-- classified as 471 4 42 8 18 59 19 | a = chest 30 425 48 11 12 22 72 | b = forearm 43 26 454 9 6 63 22 | c = head 11 4 3 552 22 16 15 | d = shin 24 5 10 22 516 13 33 | e = thigh 78 24 58 11 20 397 36 | f = upperarm 11 39 15 17 12 11 521 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3249 74.5183 % Incorrectly Classified Instances 1111 25.4817 % Kappa statistic 0.7027 Mean absolute error 0.0728 Root mean squared error 0.2698 Relative absolute error 29.7286 % Root relative squared error 77.1085 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.736 0.061 0.668 0.736 0.7 0.838 chest 0.666 0.031 0.782 0.666 0.72 0.818 forearm 0.727 0.04 0.752 0.727 0.74 0.844 head 0.889 0.019 0.885 0.889 0.887 0.935 shin 0.799 0.032 0.808 0.799 0.804 0.884 thigh 0.593 0.054 0.646 0.593 0.618 0.769 upperarm 0.805 0.061 0.689 0.805 0.743 0.872 waist Weighted Avg. 0.745 0.042 0.747 0.745 0.745 0.851 === Confusion Matrix === a b c d e f g <-- classified as 457 9 33 8 18 75 21 | a = chest 20 413 41 10 18 29 89 | b = forearm 53 26 453 9 9 58 15 | c = head 9 9 2 554 23 10 16 | d = shin 27 9 7 26 498 17 39 | e = thigh 91 25 55 10 26 370 47 | f = upperarm 27 37 11 9 24 14 504 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3294 75.5505 % Incorrectly Classified Instances 1066 24.4495 % Kappa statistic 0.7148 Mean absolute error 0.0699 Root mean squared error 0.2643 Relative absolute error 28.5245 % Root relative squared error 75.5308 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.771 0.056 0.695 0.771 0.731 0.858 chest 0.681 0.034 0.767 0.681 0.721 0.823 forearm 0.706 0.039 0.752 0.706 0.728 0.834 head 0.892 0.022 0.87 0.892 0.881 0.935 shin 0.838 0.033 0.809 0.838 0.823 0.902 thigh 0.603 0.047 0.681 0.603 0.639 0.778 upperarm 0.797 0.054 0.713 0.797 0.753 0.872 waist Weighted Avg. 0.756 0.041 0.755 0.756 0.754 0.857 === Confusion Matrix === a b c d e f g <-- classified as 479 5 31 11 21 50 24 | a = chest 25 422 40 11 17 29 76 | b = forearm 46 21 440 7 14 64 31 | c = head 7 7 4 556 33 6 10 | d = shin 22 11 6 21 522 14 27 | e = thigh 90 26 58 18 23 376 33 | f = upperarm 20 58 6 15 15 13 499 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3239 74.289 % Incorrectly Classified Instances 1121 25.711 % Kappa statistic 0.7 Mean absolute error 0.0735 Root mean squared error 0.271 Relative absolute error 29.9962 % Root relative squared error 77.4548 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.749 0.064 0.659 0.749 0.701 0.842 chest 0.655 0.034 0.76 0.655 0.704 0.81 forearm 0.684 0.042 0.729 0.684 0.706 0.821 head 0.876 0.021 0.875 0.876 0.876 0.928 shin 0.804 0.028 0.827 0.804 0.815 0.888 thigh 0.619 0.057 0.643 0.619 0.631 0.781 upperarm 0.813 0.053 0.721 0.813 0.764 0.88 waist Weighted Avg. 0.743 0.043 0.745 0.743 0.742 0.85 === Confusion Matrix === a b c d e f g <-- classified as 466 12 32 9 15 65 23 | a = chest 28 406 46 10 21 34 75 | b = forearm 55 34 426 8 8 72 20 | c = head 9 5 5 545 28 9 21 | d = shin 32 10 6 23 501 22 29 | e = thigh 91 31 58 16 13 386 29 | f = upperarm 26 36 11 12 20 12 509 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3302 75.7339 % Incorrectly Classified Instances 1058 24.2661 % Kappa statistic 0.7169 Mean absolute error 0.0693 Root mean squared error 0.2633 Relative absolute error 28.3104 % Root relative squared error 75.2468 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.738 0.062 0.665 0.738 0.7 0.838 chest 0.689 0.03 0.791 0.689 0.736 0.829 forearm 0.732 0.041 0.749 0.732 0.74 0.846 head 0.875 0.023 0.865 0.875 0.87 0.926 shin 0.848 0.031 0.819 0.848 0.833 0.908 thigh 0.598 0.048 0.676 0.598 0.634 0.775 upperarm 0.823 0.048 0.741 0.823 0.78 0.887 waist Weighted Avg. 0.757 0.04 0.758 0.757 0.756 0.858 === Confusion Matrix === a b c d e f g <-- classified as 459 5 34 11 24 66 23 | a = chest 29 427 37 14 17 28 68 | b = forearm 49 29 456 11 9 50 19 | c = head 9 7 5 544 32 12 13 | d = shin 33 7 9 14 528 11 21 | e = thigh 90 31 52 22 20 373 36 | f = upperarm 21 34 16 13 15 12 515 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3226 74.0078 % Incorrectly Classified Instances 1133 25.9922 % Kappa statistic 0.6968 Mean absolute error 0.0743 Root mean squared error 0.2725 Relative absolute error 30.3243 % Root relative squared error 77.8772 % Total Number of Instances 4359 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.732 0.059 0.672 0.732 0.701 0.836 chest 0.665 0.033 0.767 0.665 0.712 0.816 forearm 0.711 0.04 0.748 0.711 0.729 0.836 head 0.86 0.025 0.849 0.86 0.855 0.917 shin 0.802 0.038 0.78 0.802 0.791 0.882 thigh 0.609 0.054 0.655 0.609 0.631 0.778 upperarm 0.802 0.054 0.714 0.802 0.755 0.874 waist Weighted Avg. 0.74 0.043 0.741 0.74 0.739 0.848 === Confusion Matrix === a b c d e f g <-- classified as 455 5 41 12 23 66 20 | a = chest 26 412 36 16 21 27 82 | b = forearm 36 31 443 13 14 69 17 | c = head 10 9 3 535 39 11 15 | d = shin 32 4 9 21 499 18 39 | e = thigh 98 24 53 18 23 380 28 | f = upperarm 20 52 7 15 21 9 502 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 4 FOLD: 0 Correctly Classified Instances 3251 74.5642 % Incorrectly Classified Instances 1109 25.4358 % Kappa statistic 0.7032 Mean absolute error 0.0727 Root mean squared error 0.2696 Relative absolute error 29.6751 % Root relative squared error 77.0391 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.756 0.059 0.681 0.756 0.716 0.848 chest 0.657 0.033 0.77 0.657 0.709 0.812 forearm 0.722 0.041 0.748 0.722 0.735 0.841 head 0.876 0.022 0.871 0.876 0.873 0.927 shin 0.812 0.032 0.81 0.812 0.811 0.89 thigh 0.589 0.054 0.646 0.589 0.616 0.768 upperarm 0.807 0.057 0.702 0.807 0.751 0.875 waist Weighted Avg. 0.746 0.042 0.747 0.746 0.745 0.852 === Confusion Matrix === a b c d e f g <-- classified as 470 7 31 9 20 64 21 | a = chest 25 408 43 15 20 29 81 | b = forearm 50 22 450 9 7 68 17 | c = head 8 8 5 545 24 12 20 | d = shin 33 4 9 23 506 17 31 | e = thigh 85 36 52 16 23 367 44 | f = upperarm 19 45 12 9 25 11 505 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3206 73.5321 % Incorrectly Classified Instances 1154 26.4679 % Kappa statistic 0.6912 Mean absolute error 0.0756 Root mean squared error 0.275 Relative absolute error 30.8792 % Root relative squared error 78.5865 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.74 0.064 0.656 0.74 0.695 0.838 chest 0.657 0.032 0.774 0.657 0.711 0.813 forearm 0.722 0.049 0.71 0.722 0.716 0.837 head 0.859 0.024 0.857 0.859 0.858 0.917 shin 0.804 0.035 0.791 0.804 0.798 0.884 thigh 0.57 0.048 0.666 0.57 0.614 0.761 upperarm 0.796 0.057 0.702 0.796 0.746 0.87 waist Weighted Avg. 0.735 0.044 0.737 0.735 0.734 0.846 === Confusion Matrix === a b c d e f g <-- classified as 460 10 40 11 20 59 22 | a = chest 31 408 41 15 20 30 76 | b = forearm 43 29 450 10 12 58 21 | c = head 8 3 7 534 35 12 23 | d = shin 30 7 11 25 501 12 37 | e = thigh 108 20 64 15 29 355 32 | f = upperarm 21 50 21 13 16 7 498 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3268 74.9541 % Incorrectly Classified Instances 1092 25.0459 % Kappa statistic 0.7078 Mean absolute error 0.0716 Root mean squared error 0.2675 Relative absolute error 29.2202 % Root relative squared error 76.4463 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.749 0.063 0.664 0.749 0.704 0.843 chest 0.675 0.028 0.8 0.675 0.732 0.823 forearm 0.7 0.042 0.734 0.7 0.717 0.829 head 0.889 0.021 0.875 0.889 0.882 0.934 shin 0.823 0.037 0.785 0.823 0.804 0.893 thigh 0.587 0.049 0.668 0.587 0.625 0.769 upperarm 0.823 0.051 0.728 0.823 0.773 0.886 waist Weighted Avg. 0.75 0.042 0.751 0.75 0.748 0.854 === Confusion Matrix === a b c d e f g <-- classified as 466 8 38 11 19 54 26 | a = chest 24 419 48 11 18 29 72 | b = forearm 44 24 436 13 12 65 29 | c = head 8 2 7 554 34 11 7 | d = shin 33 5 4 25 512 15 28 | e = thigh 106 28 53 11 29 366 30 | f = upperarm 21 38 8 8 28 8 515 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3286 75.367 % Incorrectly Classified Instances 1074 24.633 % Kappa statistic 0.7126 Mean absolute error 0.0704 Root mean squared error 0.2653 Relative absolute error 28.7386 % Root relative squared error 75.8137 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.752 0.063 0.663 0.752 0.705 0.844 chest 0.676 0.03 0.789 0.676 0.728 0.823 forearm 0.722 0.042 0.741 0.722 0.732 0.84 head 0.876 0.018 0.891 0.876 0.883 0.929 shin 0.828 0.039 0.781 0.828 0.804 0.895 thigh 0.591 0.043 0.699 0.591 0.641 0.774 upperarm 0.829 0.053 0.725 0.829 0.773 0.888 waist Weighted Avg. 0.754 0.041 0.756 0.754 0.752 0.856 === Confusion Matrix === a b c d e f g <-- classified as 467 5 49 7 19 51 23 | a = chest 26 419 38 10 26 17 84 | b = forearm 49 26 450 8 12 62 16 | c = head 6 4 4 546 40 6 17 | d = shin 36 6 10 15 516 14 26 | e = thigh 103 30 49 12 30 369 31 | f = upperarm 17 41 7 15 18 9 519 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3267 74.9312 % Incorrectly Classified Instances 1093 25.0688 % Kappa statistic 0.7075 Mean absolute error 0.0716 Root mean squared error 0.2676 Relative absolute error 29.247 % Root relative squared error 76.4813 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.709 0.063 0.652 0.709 0.679 0.823 chest 0.692 0.033 0.776 0.692 0.731 0.829 forearm 0.709 0.041 0.744 0.709 0.726 0.834 head 0.872 0.018 0.892 0.872 0.881 0.927 shin 0.851 0.034 0.807 0.851 0.828 0.908 thigh 0.59 0.047 0.679 0.59 0.631 0.772 upperarm 0.823 0.058 0.705 0.823 0.76 0.883 waist Weighted Avg. 0.749 0.042 0.751 0.749 0.748 0.854 === Confusion Matrix === a b c d e f g <-- classified as 440 9 40 12 36 55 29 | a = chest 24 429 37 9 13 24 84 | b = forearm 48 28 442 7 13 66 19 | c = head 14 7 3 543 27 7 22 | d = shin 25 6 7 21 530 11 23 | e = thigh 101 33 56 10 18 368 38 | f = upperarm 23 41 9 7 20 11 515 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3294 75.5505 % Incorrectly Classified Instances 1066 24.4495 % Kappa statistic 0.7147 Mean absolute error 0.0699 Root mean squared error 0.2643 Relative absolute error 28.5245 % Root relative squared error 75.5308 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.755 0.061 0.674 0.755 0.712 0.847 chest 0.658 0.03 0.785 0.658 0.716 0.814 forearm 0.724 0.041 0.748 0.724 0.736 0.842 head 0.872 0.022 0.867 0.872 0.869 0.925 shin 0.807 0.034 0.797 0.807 0.802 0.887 thigh 0.649 0.047 0.696 0.649 0.672 0.801 upperarm 0.823 0.05 0.734 0.823 0.776 0.886 waist Weighted Avg. 0.756 0.041 0.757 0.756 0.755 0.857 === Confusion Matrix === a b c d e f g <-- classified as 469 8 30 10 24 63 17 | a = chest 44 408 38 12 21 29 68 | b = forearm 57 14 451 13 18 48 22 | c = head 14 7 3 543 32 9 15 | d = shin 23 8 7 26 503 17 39 | e = thigh 73 25 68 12 15 405 26 | f = upperarm 16 50 6 10 18 11 515 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3277 75.1606 % Incorrectly Classified Instances 1083 24.8394 % Kappa statistic 0.7102 Mean absolute error 0.071 Root mean squared error 0.2664 Relative absolute error 28.9794 % Root relative squared error 76.1307 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.734 0.06 0.669 0.734 0.7 0.837 chest 0.679 0.031 0.783 0.679 0.727 0.824 forearm 0.726 0.043 0.74 0.726 0.733 0.841 head 0.854 0.023 0.862 0.854 0.858 0.916 shin 0.825 0.031 0.815 0.825 0.82 0.897 thigh 0.612 0.045 0.695 0.612 0.651 0.784 upperarm 0.831 0.057 0.711 0.831 0.766 0.887 waist Weighted Avg. 0.752 0.041 0.753 0.752 0.751 0.855 === Confusion Matrix === a b c d e f g <-- classified as 456 7 48 15 21 55 19 | a = chest 18 421 38 15 15 24 89 | b = forearm 53 28 452 9 9 52 20 | c = head 5 11 4 532 39 12 20 | d = shin 30 4 9 17 514 19 30 | e = thigh 102 27 52 12 16 382 33 | f = upperarm 18 40 8 17 17 6 520 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3278 75.1835 % Incorrectly Classified Instances 1082 24.8165 % Kappa statistic 0.7105 Mean absolute error 0.0709 Root mean squared error 0.2663 Relative absolute error 28.9526 % Root relative squared error 76.0955 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.723 0.065 0.649 0.723 0.684 0.829 chest 0.674 0.023 0.828 0.674 0.743 0.825 forearm 0.722 0.044 0.733 0.722 0.728 0.839 head 0.875 0.022 0.869 0.875 0.872 0.926 shin 0.827 0.036 0.791 0.827 0.808 0.895 thigh 0.619 0.05 0.674 0.619 0.645 0.784 upperarm 0.823 0.049 0.738 0.823 0.778 0.887 waist Weighted Avg. 0.752 0.041 0.754 0.752 0.751 0.855 === Confusion Matrix === a b c d e f g <-- classified as 449 9 32 15 17 72 27 | a = chest 35 418 42 9 25 21 70 | b = forearm 44 19 450 15 12 60 23 | c = head 11 7 5 545 34 9 12 | d = shin 39 4 6 19 515 13 27 | e = thigh 97 15 58 14 30 386 24 | f = upperarm 17 33 21 10 18 12 515 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3272 75.0459 % Incorrectly Classified Instances 1088 24.9541 % Kappa statistic 0.7089 Mean absolute error 0.0713 Root mean squared error 0.267 Relative absolute error 29.1132 % Root relative squared error 76.3062 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.787 0.066 0.664 0.787 0.721 0.861 chest 0.689 0.03 0.791 0.689 0.736 0.829 forearm 0.703 0.038 0.754 0.703 0.728 0.832 head 0.852 0.024 0.858 0.852 0.855 0.914 shin 0.819 0.029 0.825 0.819 0.822 0.895 thigh 0.572 0.045 0.68 0.572 0.621 0.764 upperarm 0.831 0.059 0.702 0.831 0.761 0.886 waist Weighted Avg. 0.75 0.042 0.753 0.75 0.749 0.854 === Confusion Matrix === a b c d e f g <-- classified as 489 4 26 9 16 53 24 | a = chest 34 427 35 10 13 27 74 | b = forearm 53 28 438 7 11 61 25 | c = head 14 9 5 531 31 9 24 | d = shin 26 10 9 24 510 9 35 | e = thigh 101 23 60 20 24 357 39 | f = upperarm 19 39 8 18 13 9 520 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3218 73.8243 % Incorrectly Classified Instances 1141 26.1757 % Kappa statistic 0.6946 Mean absolute error 0.0748 Root mean squared error 0.2735 Relative absolute error 30.5384 % Root relative squared error 78.1516 % Total Number of Instances 4359 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.725 0.055 0.685 0.725 0.704 0.835 chest 0.686 0.029 0.796 0.686 0.737 0.828 forearm 0.705 0.045 0.722 0.705 0.713 0.83 head 0.862 0.023 0.862 0.862 0.862 0.919 shin 0.806 0.04 0.77 0.806 0.787 0.883 thigh 0.589 0.052 0.654 0.589 0.62 0.769 upperarm 0.796 0.061 0.688 0.796 0.738 0.867 waist Weighted Avg. 0.738 0.044 0.739 0.738 0.737 0.847 === Confusion Matrix === a b c d e f g <-- classified as 450 4 42 4 31 63 27 | a = chest 22 426 35 9 25 26 78 | b = forearm 43 33 439 16 8 57 27 | c = head 8 6 0 536 35 18 19 | d = shin 24 4 13 26 502 20 34 | e = thigh 84 17 63 19 32 367 41 | f = upperarm 26 45 16 12 19 10 498 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 5 FOLD: 0 Correctly Classified Instances 3280 75.2294 % Incorrectly Classified Instances 1080 24.7706 % Kappa statistic 0.711 Mean absolute error 0.0708 Root mean squared error 0.266 Relative absolute error 28.8991 % Root relative squared error 76.0252 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.717 0.062 0.656 0.717 0.685 0.827 chest 0.663 0.026 0.806 0.663 0.727 0.818 forearm 0.727 0.043 0.738 0.727 0.732 0.842 head 0.875 0.022 0.869 0.875 0.872 0.926 shin 0.83 0.028 0.833 0.83 0.831 0.901 thigh 0.609 0.051 0.664 0.609 0.635 0.779 upperarm 0.845 0.056 0.717 0.845 0.776 0.895 waist Weighted Avg. 0.752 0.041 0.755 0.752 0.751 0.855 === Confusion Matrix === a b c d e f g <-- classified as 445 4 49 8 15 66 34 | a = chest 37 411 30 12 18 27 85 | b = forearm 49 19 453 20 6 59 17 | c = head 8 6 3 545 26 15 20 | d = shin 29 10 8 18 517 16 25 | e = thigh 97 18 55 18 28 380 28 | f = upperarm 13 42 16 6 11 9 529 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3250 74.5413 % Incorrectly Classified Instances 1110 25.4587 % Kappa statistic 0.703 Mean absolute error 0.0727 Root mean squared error 0.2697 Relative absolute error 29.7019 % Root relative squared error 77.0738 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.752 0.059 0.68 0.752 0.714 0.847 chest 0.676 0.034 0.765 0.676 0.717 0.821 forearm 0.713 0.041 0.745 0.713 0.728 0.836 head 0.878 0.023 0.863 0.878 0.87 0.927 shin 0.793 0.036 0.784 0.793 0.789 0.878 thigh 0.596 0.056 0.641 0.596 0.618 0.77 upperarm 0.81 0.048 0.74 0.81 0.773 0.881 waist Weighted Avg. 0.745 0.042 0.745 0.745 0.744 0.851 === Confusion Matrix === a b c d e f g <-- classified as 467 6 33 12 24 63 16 | a = chest 19 419 34 15 22 41 70 | b = forearm 47 26 444 9 14 67 16 | c = head 11 7 5 547 24 12 17 | d = shin 33 8 11 33 494 13 31 | e = thigh 96 31 60 9 28 372 28 | f = upperarm 14 51 9 9 24 12 507 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3273 75.0688 % Incorrectly Classified Instances 1087 24.9312 % Kappa statistic 0.7091 Mean absolute error 0.0712 Root mean squared error 0.2669 Relative absolute error 29.0864 % Root relative squared error 76.2711 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.741 0.06 0.673 0.741 0.705 0.84 chest 0.699 0.029 0.799 0.699 0.746 0.835 forearm 0.687 0.041 0.734 0.687 0.71 0.823 head 0.875 0.025 0.851 0.875 0.863 0.925 shin 0.806 0.036 0.789 0.806 0.797 0.885 thigh 0.619 0.045 0.697 0.619 0.655 0.787 upperarm 0.829 0.054 0.72 0.829 0.771 0.887 waist Weighted Avg. 0.751 0.042 0.752 0.751 0.75 0.855 === Confusion Matrix === a b c d e f g <-- classified as 460 7 40 11 21 63 19 | a = chest 30 434 30 9 22 21 75 | b = forearm 58 27 428 12 13 63 22 | c = head 14 11 4 544 30 7 12 | d = shin 34 5 9 29 502 7 37 | e = thigh 73 21 63 17 27 386 37 | f = upperarm 15 38 9 17 21 7 519 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3272 75.0459 % Incorrectly Classified Instances 1088 24.9541 % Kappa statistic 0.7089 Mean absolute error 0.0713 Root mean squared error 0.267 Relative absolute error 29.1132 % Root relative squared error 76.3062 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.734 0.053 0.695 0.734 0.714 0.84 chest 0.692 0.026 0.816 0.692 0.749 0.833 forearm 0.721 0.044 0.734 0.721 0.727 0.839 head 0.873 0.022 0.87 0.873 0.872 0.926 shin 0.83 0.035 0.797 0.83 0.813 0.897 thigh 0.591 0.051 0.658 0.591 0.623 0.77 upperarm 0.812 0.06 0.695 0.812 0.749 0.876 waist Weighted Avg. 0.75 0.042 0.752 0.75 0.749 0.854 === Confusion Matrix === a b c d e f g <-- classified as 456 4 35 10 31 57 28 | a = chest 19 430 41 7 11 34 79 | b = forearm 38 22 449 13 15 64 22 | c = head 6 6 6 543 32 11 18 | d = shin 22 6 7 22 517 15 34 | e = thigh 92 26 56 17 22 369 42 | f = upperarm 23 33 18 12 21 11 508 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3261 74.7936 % Incorrectly Classified Instances 1099 25.2064 % Kappa statistic 0.7059 Mean absolute error 0.072 Root mean squared error 0.2684 Relative absolute error 29.4075 % Root relative squared error 76.691 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.746 0.057 0.685 0.746 0.714 0.844 chest 0.676 0.03 0.788 0.676 0.728 0.823 forearm 0.709 0.041 0.74 0.709 0.725 0.834 head 0.85 0.021 0.873 0.85 0.862 0.915 shin 0.841 0.045 0.757 0.841 0.797 0.898 thigh 0.609 0.054 0.655 0.609 0.631 0.778 upperarm 0.804 0.046 0.744 0.804 0.773 0.879 waist Weighted Avg. 0.748 0.042 0.749 0.748 0.747 0.853 === Confusion Matrix === a b c d e f g <-- classified as 463 7 36 12 29 63 11 | a = chest 29 420 46 12 27 30 57 | b = forearm 43 26 442 7 13 65 27 | c = head 11 7 5 529 46 5 19 | d = shin 23 5 8 16 524 25 22 | e = thigh 90 18 47 19 33 380 37 | f = upperarm 17 50 13 11 20 12 503 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3308 75.8716 % Incorrectly Classified Instances 1052 24.1284 % Kappa statistic 0.7185 Mean absolute error 0.0689 Root mean squared error 0.2626 Relative absolute error 28.1499 % Root relative squared error 75.0332 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.742 0.054 0.694 0.742 0.718 0.844 chest 0.712 0.03 0.795 0.712 0.751 0.841 forearm 0.714 0.042 0.739 0.714 0.727 0.836 head 0.864 0.019 0.883 0.864 0.873 0.922 shin 0.819 0.034 0.802 0.819 0.81 0.892 thigh 0.642 0.052 0.672 0.642 0.657 0.795 upperarm 0.818 0.05 0.734 0.818 0.773 0.884 waist Weighted Avg. 0.759 0.04 0.76 0.759 0.758 0.859 === Confusion Matrix === a b c d e f g <-- classified as 461 12 38 9 19 60 22 | a = chest 18 442 37 6 22 34 62 | b = forearm 53 25 445 7 4 60 29 | c = head 10 6 4 538 42 13 10 | d = shin 22 6 9 19 510 13 44 | e = thigh 80 26 59 17 22 400 19 | f = upperarm 20 39 10 13 17 15 512 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3251 74.5642 % Incorrectly Classified Instances 1109 25.4358 % Kappa statistic 0.7032 Mean absolute error 0.0727 Root mean squared error 0.2696 Relative absolute error 29.6751 % Root relative squared error 77.0391 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.733 0.061 0.666 0.733 0.698 0.836 chest 0.66 0.032 0.773 0.66 0.712 0.814 forearm 0.73 0.044 0.733 0.73 0.732 0.843 head 0.867 0.023 0.864 0.867 0.865 0.922 shin 0.806 0.033 0.801 0.806 0.803 0.886 thigh 0.632 0.048 0.689 0.632 0.659 0.792 upperarm 0.791 0.055 0.706 0.791 0.746 0.868 waist Weighted Avg. 0.746 0.042 0.747 0.746 0.745 0.852 === Confusion Matrix === a b c d e f g <-- classified as 456 12 36 12 21 57 28 | a = chest 32 409 43 13 20 30 73 | b = forearm 48 27 455 11 12 56 14 | c = head 8 4 3 540 35 11 22 | d = shin 29 3 11 33 502 13 32 | e = thigh 89 22 60 6 15 394 37 | f = upperarm 23 52 13 10 22 11 495 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3227 74.0138 % Incorrectly Classified Instances 1133 25.9862 % Kappa statistic 0.6968 Mean absolute error 0.0742 Root mean squared error 0.2725 Relative absolute error 30.3173 % Root relative squared error 77.8682 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.723 0.063 0.656 0.723 0.688 0.83 chest 0.635 0.026 0.802 0.635 0.709 0.805 forearm 0.722 0.047 0.718 0.722 0.72 0.837 head 0.856 0.022 0.868 0.856 0.862 0.917 shin 0.83 0.039 0.78 0.83 0.804 0.895 thigh 0.597 0.05 0.665 0.597 0.629 0.774 upperarm 0.816 0.056 0.71 0.816 0.759 0.88 waist Weighted Avg. 0.74 0.043 0.743 0.74 0.739 0.848 === Confusion Matrix === a b c d e f g <-- classified as 450 8 41 12 28 57 26 | a = chest 28 394 50 17 21 28 82 | b = forearm 44 24 450 9 12 60 24 | c = head 8 5 8 533 38 12 19 | d = shin 27 4 13 16 517 19 27 | e = thigh 114 17 54 13 22 372 31 | f = upperarm 15 39 11 14 25 11 511 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3246 74.4495 % Incorrectly Classified Instances 1114 25.5505 % Kappa statistic 0.7019 Mean absolute error 0.073 Root mean squared error 0.2702 Relative absolute error 29.8089 % Root relative squared error 77.2126 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.712 0.057 0.675 0.712 0.693 0.828 chest 0.673 0.037 0.751 0.673 0.71 0.818 forearm 0.713 0.04 0.746 0.713 0.729 0.836 head 0.876 0.021 0.876 0.876 0.876 0.928 shin 0.838 0.032 0.813 0.838 0.825 0.903 thigh 0.592 0.055 0.642 0.592 0.616 0.769 upperarm 0.807 0.056 0.707 0.807 0.754 0.875 waist Weighted Avg. 0.744 0.043 0.744 0.744 0.743 0.851 === Confusion Matrix === a b c d e f g <-- classified as 443 5 46 11 17 76 24 | a = chest 24 417 38 11 16 27 87 | b = forearm 49 29 444 12 11 63 15 | c = head 6 5 2 546 33 12 19 | d = shin 30 6 7 15 522 21 22 | e = thigh 80 41 52 17 22 369 42 | f = upperarm 24 52 6 11 21 7 505 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3245 74.4437 % Incorrectly Classified Instances 1114 25.5563 % Kappa statistic 0.7018 Mean absolute error 0.073 Root mean squared error 0.2702 Relative absolute error 29.8157 % Root relative squared error 77.2214 % Total Number of Instances 4359 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.763 0.064 0.663 0.763 0.71 0.849 chest 0.652 0.032 0.772 0.652 0.707 0.81 forearm 0.682 0.039 0.743 0.682 0.711 0.821 head 0.873 0.023 0.863 0.873 0.868 0.925 shin 0.849 0.037 0.793 0.849 0.82 0.906 thigh 0.585 0.049 0.667 0.585 0.623 0.768 upperarm 0.807 0.054 0.715 0.807 0.758 0.876 waist Weighted Avg. 0.744 0.043 0.745 0.744 0.743 0.851 === Confusion Matrix === a b c d e f g <-- classified as 474 7 25 8 28 58 21 | a = chest 25 404 43 13 23 25 87 | b = forearm 52 25 425 17 14 65 25 | c = head 10 6 3 544 31 17 12 | d = shin 32 9 7 20 528 5 21 | e = thigh 108 24 54 14 24 365 35 | f = upperarm 14 48 15 14 18 12 505 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 6 FOLD: 0 Correctly Classified Instances 3228 74.0367 % Incorrectly Classified Instances 1132 25.9633 % Kappa statistic 0.6971 Mean absolute error 0.0742 Root mean squared error 0.2724 Relative absolute error 30.2906 % Root relative squared error 77.8339 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.743 0.066 0.651 0.743 0.694 0.838 chest 0.665 0.028 0.797 0.665 0.725 0.818 forearm 0.687 0.044 0.722 0.687 0.704 0.821 head 0.864 0.021 0.875 0.864 0.869 0.921 shin 0.809 0.033 0.803 0.809 0.806 0.888 thigh 0.579 0.054 0.642 0.579 0.609 0.763 upperarm 0.835 0.057 0.712 0.835 0.769 0.889 waist Weighted Avg. 0.74 0.043 0.743 0.74 0.739 0.849 === Confusion Matrix === a b c d e f g <-- classified as 462 5 46 7 19 62 21 | a = chest 27 412 35 8 29 36 73 | b = forearm 50 26 428 15 10 67 27 | c = head 14 4 9 538 26 13 19 | d = shin 31 4 13 24 504 15 32 | e = thigh 103 25 56 13 25 361 40 | f = upperarm 23 41 6 10 15 8 523 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3257 74.7018 % Incorrectly Classified Instances 1103 25.2982 % Kappa statistic 0.7048 Mean absolute error 0.0723 Root mean squared error 0.2689 Relative absolute error 29.5146 % Root relative squared error 76.8304 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.728 0.063 0.657 0.728 0.691 0.832 chest 0.673 0.029 0.793 0.673 0.728 0.822 forearm 0.724 0.043 0.738 0.724 0.731 0.841 head 0.878 0.024 0.861 0.878 0.87 0.927 shin 0.804 0.029 0.821 0.804 0.813 0.888 thigh 0.607 0.053 0.656 0.607 0.631 0.777 upperarm 0.815 0.054 0.716 0.815 0.762 0.88 waist Weighted Avg. 0.747 0.042 0.749 0.747 0.746 0.852 === Confusion Matrix === a b c d e f g <-- classified as 453 8 33 9 21 71 27 | a = chest 32 417 46 8 17 23 77 | b = forearm 44 24 451 10 8 62 24 | c = head 11 5 2 547 27 13 18 | d = shin 40 2 10 25 501 16 29 | e = thigh 87 28 58 24 21 378 27 | f = upperarm 23 42 11 12 15 13 510 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3313 75.9862 % Incorrectly Classified Instances 1047 24.0138 % Kappa statistic 0.7198 Mean absolute error 0.0686 Root mean squared error 0.2619 Relative absolute error 28.0161 % Root relative squared error 74.8546 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.741 0.057 0.685 0.741 0.712 0.842 chest 0.668 0.029 0.795 0.668 0.726 0.82 forearm 0.74 0.041 0.751 0.74 0.745 0.85 head 0.881 0.02 0.88 0.881 0.881 0.931 shin 0.836 0.032 0.814 0.836 0.825 0.902 thigh 0.626 0.051 0.672 0.626 0.648 0.788 upperarm 0.826 0.051 0.73 0.826 0.775 0.887 waist Weighted Avg. 0.76 0.04 0.761 0.76 0.759 0.86 === Confusion Matrix === a b c d e f g <-- classified as 461 11 28 12 23 69 18 | a = chest 29 414 39 11 25 24 78 | b = forearm 46 13 461 11 8 63 21 | c = head 6 4 5 549 33 6 20 | d = shin 29 9 10 14 521 18 22 | e = thigh 86 26 62 16 11 390 32 | f = upperarm 16 44 9 11 19 10 517 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3262 74.8165 % Incorrectly Classified Instances 1098 25.1835 % Kappa statistic 0.7062 Mean absolute error 0.072 Root mean squared error 0.2682 Relative absolute error 29.3808 % Root relative squared error 76.6561 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.731 0.06 0.671 0.731 0.7 0.836 chest 0.653 0.026 0.804 0.653 0.721 0.813 forearm 0.729 0.044 0.733 0.729 0.731 0.842 head 0.872 0.022 0.87 0.872 0.871 0.925 shin 0.82 0.035 0.796 0.82 0.808 0.893 thigh 0.614 0.052 0.663 0.614 0.637 0.781 upperarm 0.818 0.055 0.715 0.818 0.763 0.882 waist Weighted Avg. 0.748 0.042 0.75 0.748 0.747 0.853 === Confusion Matrix === a b c d e f g <-- classified as 454 5 40 11 28 59 24 | a = chest 26 405 38 8 17 39 87 | b = forearm 46 20 454 15 9 57 22 | c = head 7 4 3 543 39 9 18 | d = shin 26 4 14 22 511 21 25 | e = thigh 96 25 59 9 24 383 28 | f = upperarm 22 41 11 16 14 10 512 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3306 75.8257 % Incorrectly Classified Instances 1054 24.1743 % Kappa statistic 0.718 Mean absolute error 0.0691 Root mean squared error 0.2628 Relative absolute error 28.2034 % Root relative squared error 75.1045 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.776 0.062 0.674 0.776 0.722 0.857 chest 0.674 0.024 0.824 0.674 0.742 0.825 forearm 0.756 0.042 0.749 0.756 0.752 0.857 head 0.884 0.026 0.85 0.884 0.867 0.929 shin 0.788 0.029 0.817 0.788 0.802 0.879 thigh 0.623 0.046 0.696 0.623 0.658 0.789 upperarm 0.805 0.053 0.719 0.805 0.76 0.876 waist Weighted Avg. 0.758 0.04 0.761 0.758 0.757 0.859 === Confusion Matrix === a b c d e f g <-- classified as 482 5 43 15 12 45 19 | a = chest 37 418 41 11 15 24 74 | b = forearm 43 19 471 8 8 55 19 | c = head 9 4 3 551 26 15 15 | d = shin 41 6 9 26 491 17 33 | e = thigh 85 23 48 18 24 389 37 | f = upperarm 18 32 14 19 25 14 504 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3222 73.8991 % Incorrectly Classified Instances 1138 26.1009 % Kappa statistic 0.6955 Mean absolute error 0.0746 Root mean squared error 0.2731 Relative absolute error 30.4511 % Root relative squared error 78.0399 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.731 0.062 0.663 0.731 0.695 0.835 chest 0.697 0.029 0.801 0.697 0.745 0.834 forearm 0.716 0.049 0.708 0.716 0.712 0.833 head 0.848 0.024 0.854 0.848 0.851 0.912 shin 0.814 0.035 0.797 0.814 0.805 0.89 thigh 0.563 0.054 0.634 0.563 0.596 0.754 upperarm 0.805 0.052 0.722 0.805 0.761 0.877 waist Weighted Avg. 0.739 0.044 0.74 0.739 0.738 0.848 === Confusion Matrix === a b c d e f g <-- classified as 454 6 40 12 25 69 15 | a = chest 24 432 42 19 10 22 71 | b = forearm 39 28 446 14 15 72 9 | c = head 13 8 8 528 29 15 22 | d = shin 41 5 4 15 507 13 38 | e = thigh 94 26 76 16 22 351 39 | f = upperarm 20 34 14 14 28 12 504 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3277 75.1606 % Incorrectly Classified Instances 1083 24.8394 % Kappa statistic 0.7102 Mean absolute error 0.071 Root mean squared error 0.2664 Relative absolute error 28.9794 % Root relative squared error 76.1307 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.762 0.062 0.672 0.762 0.714 0.85 chest 0.659 0.031 0.781 0.659 0.714 0.814 forearm 0.692 0.042 0.733 0.692 0.712 0.825 head 0.881 0.021 0.873 0.881 0.877 0.93 shin 0.835 0.029 0.828 0.835 0.831 0.903 thigh 0.604 0.048 0.679 0.604 0.64 0.778 upperarm 0.829 0.057 0.708 0.829 0.764 0.886 waist Weighted Avg. 0.752 0.041 0.753 0.752 0.75 0.855 === Confusion Matrix === a b c d e f g <-- classified as 473 5 28 12 20 60 23 | a = chest 27 409 49 16 9 31 80 | b = forearm 52 33 431 11 12 57 27 | c = head 7 6 3 548 29 10 19 | d = shin 22 7 6 26 520 15 27 | e = thigh 107 17 52 10 23 377 38 | f = upperarm 16 47 19 5 15 5 519 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3213 73.6927 % Incorrectly Classified Instances 1147 26.3073 % Kappa statistic 0.6931 Mean absolute error 0.0752 Root mean squared error 0.2742 Relative absolute error 30.6919 % Root relative squared error 78.3479 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.736 0.063 0.661 0.736 0.697 0.837 chest 0.665 0.039 0.741 0.665 0.701 0.813 forearm 0.719 0.048 0.715 0.719 0.717 0.836 head 0.867 0.021 0.872 0.867 0.869 0.923 shin 0.811 0.029 0.825 0.811 0.818 0.891 thigh 0.591 0.046 0.685 0.591 0.635 0.773 upperarm 0.77 0.063 0.673 0.77 0.718 0.854 waist Weighted Avg. 0.737 0.044 0.739 0.737 0.736 0.847 === Confusion Matrix === a b c d e f g <-- classified as 457 13 45 8 21 45 32 | a = chest 23 413 39 12 20 28 86 | b = forearm 46 27 448 7 10 57 28 | c = head 14 12 1 539 29 9 18 | d = shin 28 9 9 25 505 16 31 | e = thigh 100 26 64 10 16 369 39 | f = upperarm 23 57 21 17 11 15 482 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3271 75.0229 % Incorrectly Classified Instances 1089 24.9771 % Kappa statistic 0.7086 Mean absolute error 0.0714 Root mean squared error 0.2671 Relative absolute error 29.1399 % Root relative squared error 76.3413 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.744 0.064 0.66 0.744 0.699 0.84 chest 0.686 0.029 0.796 0.686 0.737 0.828 forearm 0.687 0.045 0.719 0.687 0.703 0.821 head 0.879 0.022 0.867 0.879 0.873 0.928 shin 0.827 0.035 0.797 0.827 0.812 0.896 thigh 0.619 0.053 0.661 0.619 0.639 0.783 upperarm 0.81 0.043 0.758 0.81 0.783 0.883 waist Weighted Avg. 0.75 0.042 0.751 0.75 0.749 0.854 === Confusion Matrix === a b c d e f g <-- classified as 462 9 42 9 23 64 12 | a = chest 31 426 39 12 22 31 60 | b = forearm 58 26 428 11 10 68 22 | c = head 6 8 4 547 30 12 15 | d = shin 21 2 14 29 515 15 27 | e = thigh 103 19 54 13 23 386 26 | f = upperarm 19 45 14 10 23 8 507 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3265 74.9025 % Incorrectly Classified Instances 1094 25.0975 % Kappa statistic 0.7072 Mean absolute error 0.0717 Root mean squared error 0.2678 Relative absolute error 29.2804 % Root relative squared error 76.5251 % Total Number of Instances 4359 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.723 0.059 0.672 0.723 0.697 0.832 chest 0.67 0.029 0.795 0.67 0.727 0.821 forearm 0.711 0.04 0.75 0.711 0.73 0.836 head 0.856 0.021 0.869 0.856 0.862 0.917 shin 0.83 0.034 0.801 0.83 0.815 0.898 thigh 0.623 0.053 0.662 0.623 0.642 0.785 upperarm 0.831 0.057 0.708 0.831 0.765 0.887 waist Weighted Avg. 0.749 0.042 0.751 0.749 0.748 0.854 === Confusion Matrix === a b c d e f g <-- classified as 449 4 33 10 25 68 32 | a = chest 26 416 47 11 20 24 77 | b = forearm 56 22 443 9 5 70 18 | c = head 12 6 3 533 38 14 17 | d = shin 19 6 6 23 516 11 41 | e = thigh 89 23 52 17 25 388 29 | f = upperarm 17 46 7 10 15 11 520 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 7 FOLD: 0 Correctly Classified Instances 3275 75.1147 % Incorrectly Classified Instances 1085 24.8853 % Kappa statistic 0.7097 Mean absolute error 0.0711 Root mean squared error 0.2666 Relative absolute error 29.0329 % Root relative squared error 76.2009 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.705 0.064 0.646 0.705 0.674 0.821 chest 0.66 0.024 0.821 0.66 0.732 0.818 forearm 0.727 0.044 0.732 0.727 0.729 0.841 head 0.875 0.017 0.893 0.875 0.884 0.929 shin 0.838 0.035 0.799 0.838 0.818 0.901 thigh 0.596 0.055 0.645 0.596 0.619 0.771 upperarm 0.856 0.051 0.739 0.856 0.793 0.903 waist Weighted Avg. 0.751 0.041 0.754 0.751 0.75 0.855 === Confusion Matrix === a b c d e f g <-- classified as 438 6 50 11 28 72 16 | a = chest 34 409 39 8 21 38 71 | b = forearm 62 16 453 8 10 54 20 | c = head 4 10 4 545 30 10 20 | d = shin 27 3 8 17 522 18 28 | e = thigh 105 20 58 12 23 372 34 | f = upperarm 8 34 7 9 19 13 536 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3255 74.656 % Incorrectly Classified Instances 1105 25.344 % Kappa statistic 0.7043 Mean absolute error 0.0724 Root mean squared error 0.2691 Relative absolute error 29.5681 % Root relative squared error 76.9 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.742 0.059 0.677 0.742 0.708 0.842 chest 0.663 0.033 0.768 0.663 0.712 0.815 forearm 0.708 0.042 0.739 0.708 0.723 0.833 head 0.852 0.025 0.852 0.852 0.852 0.914 shin 0.836 0.034 0.803 0.836 0.819 0.901 thigh 0.612 0.046 0.69 0.612 0.649 0.783 upperarm 0.812 0.057 0.705 0.812 0.754 0.877 waist Weighted Avg. 0.747 0.042 0.748 0.747 0.745 0.852 === Confusion Matrix === a b c d e f g <-- classified as 461 7 39 11 23 55 25 | a = chest 24 411 36 16 16 25 92 | b = forearm 44 31 441 13 14 62 18 | c = head 16 4 6 531 35 14 17 | d = shin 28 6 9 19 521 10 30 | e = thigh 85 30 55 18 23 382 31 | f = upperarm 23 46 11 15 17 6 508 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3293 75.5275 % Incorrectly Classified Instances 1067 24.4725 % Kappa statistic 0.7145 Mean absolute error 0.0699 Root mean squared error 0.2644 Relative absolute error 28.5513 % Root relative squared error 75.5662 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.762 0.057 0.689 0.762 0.723 0.852 chest 0.692 0.029 0.797 0.692 0.741 0.831 forearm 0.729 0.042 0.743 0.729 0.736 0.843 head 0.87 0.023 0.863 0.87 0.867 0.923 shin 0.815 0.035 0.797 0.815 0.806 0.89 thigh 0.612 0.047 0.685 0.612 0.646 0.783 upperarm 0.807 0.052 0.72 0.807 0.761 0.877 waist Weighted Avg. 0.755 0.041 0.756 0.755 0.754 0.857 === Confusion Matrix === a b c d e f g <-- classified as 473 7 33 8 21 64 15 | a = chest 26 429 33 10 12 32 78 | b = forearm 46 25 454 13 15 45 25 | c = head 6 6 5 542 31 9 24 | d = shin 27 8 8 31 508 18 23 | e = thigh 88 22 60 14 27 382 31 | f = upperarm 21 41 18 10 23 8 505 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3269 74.9771 % Incorrectly Classified Instances 1091 25.0229 % Kappa statistic 0.7081 Mean absolute error 0.0715 Root mean squared error 0.2674 Relative absolute error 29.1935 % Root relative squared error 76.4113 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.739 0.058 0.679 0.739 0.708 0.841 chest 0.676 0.03 0.791 0.676 0.729 0.823 forearm 0.706 0.04 0.747 0.706 0.726 0.833 head 0.876 0.023 0.864 0.876 0.87 0.927 shin 0.811 0.031 0.812 0.811 0.811 0.89 thigh 0.609 0.05 0.673 0.609 0.639 0.78 upperarm 0.831 0.061 0.697 0.831 0.758 0.885 waist Weighted Avg. 0.75 0.042 0.752 0.75 0.749 0.854 === Confusion Matrix === a b c d e f g <-- classified as 459 8 39 12 21 55 27 | a = chest 27 419 38 15 12 28 81 | b = forearm 48 26 440 7 11 71 20 | c = head 10 7 1 546 28 8 23 | d = shin 26 1 10 30 505 13 38 | e = thigh 93 30 52 12 20 380 37 | f = upperarm 13 39 9 10 25 10 520 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3261 74.7936 % Incorrectly Classified Instances 1099 25.2064 % Kappa statistic 0.7059 Mean absolute error 0.072 Root mean squared error 0.2684 Relative absolute error 29.4075 % Root relative squared error 76.691 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.747 0.058 0.682 0.747 0.713 0.845 chest 0.685 0.032 0.778 0.685 0.729 0.827 forearm 0.693 0.04 0.742 0.693 0.717 0.827 head 0.876 0.024 0.857 0.876 0.867 0.926 shin 0.819 0.036 0.792 0.819 0.805 0.891 thigh 0.603 0.048 0.677 0.603 0.638 0.777 upperarm 0.812 0.056 0.709 0.812 0.757 0.878 waist Weighted Avg. 0.748 0.042 0.748 0.748 0.747 0.853 === Confusion Matrix === a b c d e f g <-- classified as 464 3 30 17 27 56 24 | a = chest 20 425 40 16 22 24 73 | b = forearm 51 29 432 13 8 64 26 | c = head 6 8 1 546 37 9 16 | d = shin 23 8 12 20 510 14 36 | e = thigh 93 25 57 15 25 376 33 | f = upperarm 23 48 10 10 15 12 508 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3235 74.1972 % Incorrectly Classified Instances 1125 25.8028 % Kappa statistic 0.699 Mean absolute error 0.0737 Root mean squared error 0.2715 Relative absolute error 30.1032 % Root relative squared error 77.5928 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.713 0.061 0.66 0.713 0.686 0.826 chest 0.665 0.027 0.804 0.665 0.728 0.819 forearm 0.709 0.048 0.711 0.709 0.71 0.831 head 0.883 0.025 0.853 0.883 0.868 0.929 shin 0.812 0.034 0.8 0.812 0.806 0.889 thigh 0.606 0.047 0.684 0.606 0.642 0.779 upperarm 0.805 0.059 0.696 0.805 0.747 0.873 waist Weighted Avg. 0.742 0.043 0.744 0.742 0.741 0.849 === Confusion Matrix === a b c d e f g <-- classified as 443 9 50 14 21 55 29 | a = chest 30 413 36 16 18 19 89 | b = forearm 51 22 442 12 7 68 21 | c = head 11 8 4 550 33 7 10 | d = shin 35 4 8 18 505 16 36 | e = thigh 83 18 66 24 20 378 35 | f = upperarm 18 40 16 11 27 10 504 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3242 74.3578 % Incorrectly Classified Instances 1118 25.6422 % Kappa statistic 0.7008 Mean absolute error 0.0733 Root mean squared error 0.2707 Relative absolute error 29.9159 % Root relative squared error 77.3511 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.736 0.06 0.669 0.736 0.701 0.838 chest 0.696 0.028 0.804 0.696 0.746 0.834 forearm 0.714 0.048 0.714 0.714 0.714 0.833 head 0.864 0.026 0.847 0.864 0.855 0.919 shin 0.801 0.027 0.832 0.801 0.816 0.887 thigh 0.596 0.049 0.671 0.596 0.631 0.773 upperarm 0.799 0.061 0.686 0.799 0.738 0.869 waist Weighted Avg. 0.744 0.043 0.746 0.744 0.743 0.85 === Confusion Matrix === a b c d e f g <-- classified as 457 7 41 10 15 62 29 | a = chest 27 432 42 13 13 23 71 | b = forearm 47 16 445 7 5 73 30 | c = head 9 6 7 538 31 11 21 | d = shin 31 5 10 32 499 7 39 | e = thigh 89 22 65 16 21 371 39 | f = upperarm 23 49 13 19 16 6 500 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3278 75.1835 % Incorrectly Classified Instances 1082 24.8165 % Kappa statistic 0.7105 Mean absolute error 0.0709 Root mean squared error 0.2663 Relative absolute error 28.9526 % Root relative squared error 76.0955 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.744 0.063 0.661 0.744 0.7 0.84 chest 0.665 0.026 0.808 0.665 0.73 0.819 forearm 0.719 0.042 0.739 0.719 0.729 0.838 head 0.889 0.024 0.86 0.889 0.874 0.932 shin 0.82 0.032 0.812 0.82 0.816 0.894 thigh 0.607 0.054 0.653 0.607 0.629 0.776 upperarm 0.818 0.048 0.74 0.818 0.777 0.885 waist Weighted Avg. 0.752 0.041 0.753 0.752 0.751 0.855 === Confusion Matrix === a b c d e f g <-- classified as 463 5 28 8 25 72 21 | a = chest 37 413 44 9 24 27 67 | b = forearm 43 24 448 14 9 68 17 | c = head 9 1 4 553 25 12 18 | d = shin 29 4 11 27 511 16 25 | e = thigh 98 27 57 16 15 378 32 | f = upperarm 21 37 14 16 20 6 512 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3234 74.1743 % Incorrectly Classified Instances 1126 25.8257 % Kappa statistic 0.6987 Mean absolute error 0.0738 Root mean squared error 0.2716 Relative absolute error 30.13 % Root relative squared error 77.6273 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.759 0.064 0.663 0.759 0.708 0.847 chest 0.657 0.028 0.795 0.657 0.72 0.814 forearm 0.713 0.039 0.753 0.713 0.732 0.837 head 0.855 0.021 0.872 0.855 0.864 0.917 shin 0.795 0.029 0.818 0.795 0.806 0.883 thigh 0.579 0.054 0.642 0.579 0.609 0.763 upperarm 0.834 0.066 0.68 0.834 0.749 0.884 waist Weighted Avg. 0.742 0.043 0.746 0.742 0.741 0.849 === Confusion Matrix === a b c d e f g <-- classified as 472 5 28 13 24 58 22 | a = chest 31 408 43 7 20 32 80 | b = forearm 42 20 444 11 10 64 32 | c = head 13 9 5 532 19 17 27 | d = shin 32 4 7 25 495 21 39 | e = thigh 107 20 54 12 23 361 46 | f = upperarm 15 47 9 10 14 9 522 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3237 74.2602 % Incorrectly Classified Instances 1122 25.7398 % Kappa statistic 0.6997 Mean absolute error 0.0735 Root mean squared error 0.2712 Relative absolute error 30.0299 % Root relative squared error 77.4982 % Total Number of Instances 4359 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.746 0.068 0.647 0.746 0.693 0.839 chest 0.673 0.033 0.772 0.673 0.719 0.82 forearm 0.711 0.041 0.742 0.711 0.726 0.835 head 0.857 0.018 0.89 0.857 0.873 0.92 shin 0.831 0.032 0.813 0.831 0.822 0.9 thigh 0.584 0.05 0.661 0.584 0.62 0.767 upperarm 0.796 0.059 0.694 0.796 0.741 0.868 waist Weighted Avg. 0.743 0.043 0.745 0.743 0.742 0.85 === Confusion Matrix === a b c d e f g <-- classified as 464 6 36 7 14 61 34 | a = chest 28 417 43 10 18 29 75 | b = forearm 57 26 443 10 11 56 20 | c = head 13 5 6 533 30 11 24 | d = shin 34 7 7 11 518 17 29 | e = thigh 100 26 52 16 27 364 38 | f = upperarm 21 53 10 12 19 13 498 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 8 FOLD: 0 Correctly Classified Instances 3234 74.1743 % Incorrectly Classified Instances 1126 25.8257 % Kappa statistic 0.6987 Mean absolute error 0.0738 Root mean squared error 0.2716 Relative absolute error 30.13 % Root relative squared error 77.6273 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.733 0.062 0.662 0.733 0.696 0.835 chest 0.66 0.033 0.768 0.66 0.71 0.814 forearm 0.708 0.042 0.737 0.708 0.722 0.833 head 0.873 0.02 0.879 0.873 0.876 0.926 shin 0.827 0.039 0.78 0.827 0.803 0.894 thigh 0.582 0.049 0.665 0.582 0.621 0.766 upperarm 0.81 0.056 0.707 0.81 0.755 0.877 waist Weighted Avg. 0.742 0.043 0.743 0.742 0.74 0.849 === Confusion Matrix === a b c d e f g <-- classified as 455 6 33 10 29 61 27 | a = chest 38 410 39 7 19 32 76 | b = forearm 49 24 441 13 12 61 23 | c = head 11 9 4 543 31 7 17 | d = shin 26 3 12 21 515 13 33 | e = thigh 92 38 61 12 24 363 34 | f = upperarm 16 44 8 12 30 9 507 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3236 74.2202 % Incorrectly Classified Instances 1124 25.7798 % Kappa statistic 0.6992 Mean absolute error 0.0737 Root mean squared error 0.2714 Relative absolute error 30.0765 % Root relative squared error 77.5583 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.715 0.058 0.671 0.715 0.692 0.828 chest 0.673 0.031 0.784 0.673 0.724 0.821 forearm 0.703 0.047 0.712 0.703 0.708 0.828 head 0.868 0.023 0.864 0.868 0.866 0.923 shin 0.822 0.036 0.793 0.822 0.807 0.893 thigh 0.612 0.054 0.655 0.612 0.633 0.779 upperarm 0.802 0.052 0.721 0.802 0.759 0.875 waist Weighted Avg. 0.742 0.043 0.743 0.742 0.741 0.85 === Confusion Matrix === a b c d e f g <-- classified as 444 7 37 6 31 70 26 | a = chest 24 418 53 14 19 24 69 | b = forearm 54 29 438 11 9 67 15 | c = head 7 7 5 540 28 18 17 | d = shin 17 6 13 22 512 14 39 | e = thigh 103 18 52 17 24 382 28 | f = upperarm 13 48 17 15 23 8 502 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3214 73.7156 % Incorrectly Classified Instances 1146 26.2844 % Kappa statistic 0.6933 Mean absolute error 0.0751 Root mean squared error 0.274 Relative absolute error 30.6652 % Root relative squared error 78.3137 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.771 0.064 0.668 0.771 0.716 0.854 chest 0.645 0.034 0.759 0.645 0.697 0.806 forearm 0.697 0.044 0.725 0.697 0.71 0.826 head 0.862 0.023 0.862 0.862 0.862 0.919 shin 0.851 0.04 0.782 0.851 0.815 0.906 thigh 0.556 0.047 0.662 0.556 0.605 0.754 upperarm 0.778 0.055 0.704 0.778 0.739 0.862 waist Weighted Avg. 0.737 0.044 0.737 0.737 0.735 0.847 === Confusion Matrix === a b c d e f g <-- classified as 479 5 36 10 18 54 19 | a = chest 23 400 44 13 25 25 90 | b = forearm 51 28 434 7 11 71 21 | c = head 11 8 1 537 43 10 13 | d = shin 22 4 8 27 530 7 25 | e = thigh 105 29 59 17 30 347 37 | f = upperarm 26 53 17 12 21 10 487 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3302 75.7339 % Incorrectly Classified Instances 1058 24.2661 % Kappa statistic 0.7169 Mean absolute error 0.0693 Root mean squared error 0.2633 Relative absolute error 28.3104 % Root relative squared error 75.2468 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.762 0.052 0.708 0.762 0.734 0.855 chest 0.655 0.029 0.791 0.655 0.717 0.813 forearm 0.732 0.041 0.748 0.732 0.74 0.845 head 0.862 0.025 0.85 0.862 0.856 0.918 shin 0.835 0.031 0.82 0.835 0.827 0.902 thigh 0.617 0.047 0.685 0.617 0.649 0.785 upperarm 0.839 0.058 0.709 0.839 0.768 0.89 waist Weighted Avg. 0.757 0.04 0.759 0.757 0.756 0.858 === Confusion Matrix === a b c d e f g <-- classified as 473 3 37 10 22 49 27 | a = chest 29 406 47 16 13 31 78 | b = forearm 36 17 456 15 12 64 23 | c = head 12 7 4 537 34 9 20 | d = shin 25 4 5 23 520 16 30 | e = thigh 83 29 55 17 17 385 38 | f = upperarm 10 47 6 14 16 8 525 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3289 75.4358 % Incorrectly Classified Instances 1071 24.5642 % Kappa statistic 0.7134 Mean absolute error 0.0702 Root mean squared error 0.2649 Relative absolute error 28.6583 % Root relative squared error 75.7077 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.736 0.056 0.686 0.736 0.71 0.84 chest 0.711 0.034 0.776 0.711 0.742 0.839 forearm 0.701 0.039 0.748 0.701 0.724 0.831 head 0.867 0.021 0.874 0.867 0.87 0.923 shin 0.835 0.031 0.819 0.835 0.827 0.902 thigh 0.628 0.052 0.668 0.628 0.647 0.788 upperarm 0.802 0.054 0.715 0.802 0.756 0.874 waist Weighted Avg. 0.754 0.041 0.755 0.754 0.754 0.857 === Confusion Matrix === a b c d e f g <-- classified as 457 6 43 13 15 59 28 | a = chest 29 441 26 8 17 32 67 | b = forearm 48 30 437 16 13 59 20 | c = head 5 5 7 540 34 11 21 | d = shin 22 7 9 21 520 18 26 | e = thigh 87 31 49 8 19 392 38 | f = upperarm 18 48 13 12 17 16 502 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3190 73.1651 % Incorrectly Classified Instances 1170 26.8349 % Kappa statistic 0.6869 Mean absolute error 0.0767 Root mean squared error 0.2769 Relative absolute error 31.3074 % Root relative squared error 79.1295 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.683 0.062 0.649 0.683 0.666 0.811 chest 0.671 0.029 0.792 0.671 0.727 0.821 forearm 0.703 0.042 0.735 0.703 0.719 0.83 head 0.862 0.02 0.876 0.862 0.869 0.921 shin 0.787 0.038 0.775 0.787 0.781 0.874 thigh 0.618 0.058 0.638 0.618 0.628 0.78 upperarm 0.797 0.063 0.678 0.797 0.733 0.867 waist Weighted Avg. 0.732 0.045 0.735 0.732 0.732 0.843 === Confusion Matrix === a b c d e f g <-- classified as 425 8 40 8 27 76 38 | a = chest 26 416 39 9 26 24 80 | b = forearm 50 23 438 11 8 70 23 | c = head 10 6 3 537 39 8 20 | d = shin 39 8 5 20 490 24 37 | e = thigh 85 18 58 16 22 385 39 | f = upperarm 20 46 13 12 20 16 499 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3286 75.367 % Incorrectly Classified Instances 1074 24.633 % Kappa statistic 0.7126 Mean absolute error 0.0704 Root mean squared error 0.2653 Relative absolute error 28.7386 % Root relative squared error 75.8137 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.76 0.058 0.686 0.76 0.721 0.851 chest 0.663 0.026 0.809 0.663 0.729 0.818 forearm 0.726 0.045 0.728 0.726 0.727 0.84 head 0.859 0.018 0.89 0.859 0.874 0.921 shin 0.796 0.033 0.799 0.796 0.797 0.881 thigh 0.628 0.051 0.671 0.628 0.648 0.788 upperarm 0.843 0.056 0.717 0.843 0.775 0.894 waist Weighted Avg. 0.754 0.041 0.757 0.754 0.753 0.856 === Confusion Matrix === a b c d e f g <-- classified as 473 6 34 11 25 59 14 | a = chest 24 411 42 14 19 30 80 | b = forearm 46 21 452 5 15 63 21 | c = head 5 11 5 535 32 12 23 | d = shin 34 4 12 18 496 24 35 | e = thigh 84 19 65 12 17 391 35 | f = upperarm 24 36 11 6 17 4 528 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3272 75.0459 % Incorrectly Classified Instances 1088 24.9541 % Kappa statistic 0.7089 Mean absolute error 0.0713 Root mean squared error 0.267 Relative absolute error 29.1132 % Root relative squared error 76.3062 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.736 0.067 0.647 0.736 0.689 0.835 chest 0.697 0.028 0.806 0.697 0.747 0.834 forearm 0.742 0.04 0.756 0.742 0.749 0.851 head 0.86 0.023 0.862 0.86 0.861 0.919 shin 0.803 0.029 0.822 0.803 0.812 0.887 thigh 0.596 0.044 0.695 0.596 0.641 0.776 upperarm 0.819 0.061 0.692 0.819 0.751 0.879 waist Weighted Avg. 0.75 0.042 0.754 0.75 0.75 0.854 === Confusion Matrix === a b c d e f g <-- classified as 458 5 32 14 21 66 26 | a = chest 28 432 32 9 15 34 70 | b = forearm 46 23 462 11 13 42 26 | c = head 7 6 7 536 31 8 28 | d = shin 33 6 12 23 500 8 41 | e = thigh 110 22 54 12 17 371 37 | f = upperarm 26 42 12 17 11 5 513 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3289 75.4358 % Incorrectly Classified Instances 1071 24.5642 % Kappa statistic 0.7134 Mean absolute error 0.0702 Root mean squared error 0.2649 Relative absolute error 28.6583 % Root relative squared error 75.7077 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.749 0.055 0.693 0.749 0.72 0.847 chest 0.655 0.026 0.804 0.655 0.722 0.814 forearm 0.717 0.04 0.749 0.717 0.733 0.839 head 0.873 0.021 0.872 0.873 0.872 0.926 shin 0.83 0.035 0.798 0.83 0.814 0.897 thigh 0.615 0.051 0.668 0.615 0.64 0.782 upperarm 0.84 0.058 0.71 0.84 0.77 0.891 waist Weighted Avg. 0.754 0.041 0.756 0.754 0.753 0.857 === Confusion Matrix === a b c d e f g <-- classified as 465 5 43 13 23 56 16 | a = chest 22 407 39 11 22 29 91 | b = forearm 38 28 447 7 12 62 29 | c = head 14 5 1 544 28 18 13 | d = shin 22 5 5 24 517 15 35 | e = thigh 91 18 53 15 32 383 31 | f = upperarm 19 38 9 10 14 10 526 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3268 74.9713 % Incorrectly Classified Instances 1091 25.0287 % Kappa statistic 0.708 Mean absolute error 0.0715 Root mean squared error 0.2674 Relative absolute error 29.2002 % Root relative squared error 76.4201 % Total Number of Instances 4359 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.733 0.056 0.685 0.733 0.708 0.838 chest 0.684 0.027 0.81 0.684 0.742 0.829 forearm 0.692 0.038 0.751 0.692 0.72 0.827 head 0.87 0.021 0.873 0.87 0.871 0.924 shin 0.82 0.034 0.799 0.82 0.81 0.893 thigh 0.604 0.055 0.649 0.604 0.626 0.775 upperarm 0.845 0.061 0.699 0.845 0.765 0.892 waist Weighted Avg. 0.75 0.042 0.752 0.75 0.749 0.854 === Confusion Matrix === a b c d e f g <-- classified as 455 11 33 9 21 69 23 | a = chest 22 425 34 11 17 34 78 | b = forearm 52 26 431 12 10 64 28 | c = head 11 4 1 541 29 15 21 | d = shin 31 5 6 24 510 11 35 | e = thigh 77 21 61 14 31 377 43 | f = upperarm 16 33 8 9 20 11 529 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 9 FOLD: 0 Correctly Classified Instances 3239 74.289 % Incorrectly Classified Instances 1121 25.711 % Kappa statistic 0.7 Mean absolute error 0.0735 Root mean squared error 0.271 Relative absolute error 29.9962 % Root relative squared error 77.4548 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.736 0.06 0.669 0.736 0.701 0.838 chest 0.684 0.024 0.825 0.684 0.748 0.83 forearm 0.711 0.048 0.713 0.711 0.712 0.832 head 0.865 0.024 0.857 0.865 0.861 0.921 shin 0.82 0.037 0.789 0.82 0.804 0.892 thigh 0.574 0.057 0.626 0.574 0.599 0.758 upperarm 0.81 0.05 0.732 0.81 0.769 0.88 waist Weighted Avg. 0.743 0.043 0.744 0.743 0.742 0.85 === Confusion Matrix === a b c d e f g <-- classified as 457 5 39 10 25 62 23 | a = chest 23 424 44 11 15 37 66 | b = forearm 53 16 443 11 12 70 18 | c = head 11 4 7 539 39 11 12 | d = shin 31 2 6 22 511 21 30 | e = thigh 85 25 66 19 34 358 37 | f = upperarm 23 38 16 17 12 13 507 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3248 74.4954 % Incorrectly Classified Instances 1112 25.5046 % Kappa statistic 0.7024 Mean absolute error 0.0729 Root mean squared error 0.2699 Relative absolute error 29.7554 % Root relative squared error 77.1432 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.717 0.056 0.68 0.717 0.698 0.83 chest 0.634 0.03 0.775 0.634 0.697 0.802 forearm 0.721 0.043 0.738 0.721 0.729 0.839 head 0.884 0.027 0.846 0.884 0.865 0.929 shin 0.823 0.03 0.819 0.823 0.821 0.897 thigh 0.603 0.05 0.667 0.603 0.633 0.776 upperarm 0.832 0.061 0.695 0.832 0.757 0.885 waist Weighted Avg. 0.745 0.043 0.746 0.745 0.743 0.851 === Confusion Matrix === a b c d e f g <-- classified as 445 9 37 9 25 71 25 | a = chest 25 393 43 20 24 28 87 | b = forearm 41 22 449 15 10 62 24 | c = head 5 9 4 551 23 11 20 | d = shin 20 2 13 28 513 10 37 | e = thigh 101 28 50 15 18 376 36 | f = upperarm 17 44 12 13 13 6 521 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3312 75.9633 % Incorrectly Classified Instances 1048 24.0367 % Kappa statistic 0.7196 Mean absolute error 0.0687 Root mean squared error 0.2621 Relative absolute error 28.0428 % Root relative squared error 74.8904 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.746 0.054 0.696 0.746 0.72 0.846 chest 0.7 0.029 0.801 0.7 0.747 0.836 forearm 0.74 0.043 0.742 0.74 0.741 0.849 head 0.888 0.024 0.859 0.888 0.873 0.932 shin 0.791 0.028 0.823 0.791 0.807 0.881 thigh 0.612 0.043 0.705 0.612 0.655 0.785 upperarm 0.84 0.059 0.704 0.84 0.766 0.891 waist Weighted Avg. 0.76 0.04 0.761 0.76 0.758 0.86 === Confusion Matrix === a b c d e f g <-- classified as 463 9 45 13 16 51 24 | a = chest 24 434 27 7 18 34 76 | b = forearm 50 28 461 11 7 51 15 | c = head 8 6 2 553 21 10 23 | d = shin 33 8 12 22 493 13 42 | e = thigh 72 22 57 27 23 382 41 | f = upperarm 15 35 17 11 21 1 526 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3267 74.9312 % Incorrectly Classified Instances 1093 25.0688 % Kappa statistic 0.7075 Mean absolute error 0.0716 Root mean squared error 0.2676 Relative absolute error 29.247 % Root relative squared error 76.4813 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.729 0.066 0.648 0.729 0.686 0.832 chest 0.653 0.029 0.789 0.653 0.715 0.812 forearm 0.729 0.037 0.764 0.729 0.746 0.846 head 0.849 0.02 0.876 0.849 0.862 0.915 shin 0.841 0.033 0.81 0.841 0.825 0.904 thigh 0.622 0.048 0.684 0.622 0.652 0.787 upperarm 0.821 0.059 0.698 0.821 0.755 0.881 waist Weighted Avg. 0.749 0.042 0.753 0.749 0.749 0.854 === Confusion Matrix === a b c d e f g <-- classified as 453 8 38 6 26 64 26 | a = chest 28 405 35 15 19 34 84 | b = forearm 63 20 454 10 12 40 24 | c = head 13 7 3 529 33 15 23 | d = shin 20 10 6 19 524 15 29 | e = thigh 102 20 50 11 17 388 36 | f = upperarm 20 43 8 14 16 11 514 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3287 75.3899 % Incorrectly Classified Instances 1073 24.6101 % Kappa statistic 0.7129 Mean absolute error 0.0703 Root mean squared error 0.2652 Relative absolute error 28.7118 % Root relative squared error 75.7784 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.749 0.068 0.647 0.749 0.694 0.84 chest 0.694 0.03 0.795 0.694 0.741 0.832 forearm 0.724 0.038 0.762 0.724 0.742 0.843 head 0.889 0.02 0.881 0.889 0.885 0.935 shin 0.799 0.028 0.825 0.799 0.812 0.885 thigh 0.595 0.049 0.671 0.595 0.63 0.773 upperarm 0.827 0.055 0.717 0.827 0.769 0.886 waist Weighted Avg. 0.754 0.041 0.757 0.754 0.753 0.856 === Confusion Matrix === a b c d e f g <-- classified as 465 5 34 12 19 65 21 | a = chest 29 430 35 9 22 23 72 | b = forearm 43 20 451 15 10 64 20 | c = head 12 4 4 554 23 7 19 | d = shin 38 8 9 24 498 14 32 | e = thigh 112 25 48 9 19 371 40 | f = upperarm 20 49 11 6 13 9 518 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3262 74.8165 % Incorrectly Classified Instances 1098 25.1835 % Kappa statistic 0.7062 Mean absolute error 0.072 Root mean squared error 0.2682 Relative absolute error 29.3808 % Root relative squared error 76.6561 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.746 0.052 0.705 0.746 0.725 0.847 chest 0.634 0.029 0.782 0.634 0.7 0.803 forearm 0.693 0.046 0.716 0.693 0.705 0.824 head 0.876 0.02 0.882 0.876 0.879 0.928 shin 0.814 0.03 0.816 0.814 0.815 0.892 thigh 0.643 0.055 0.66 0.643 0.651 0.794 upperarm 0.831 0.061 0.694 0.831 0.756 0.885 waist Weighted Avg. 0.748 0.042 0.751 0.748 0.747 0.853 === Confusion Matrix === a b c d e f g <-- classified as 464 11 40 9 16 56 26 | a = chest 31 394 46 11 20 30 89 | b = forearm 46 23 432 12 7 71 32 | c = head 4 7 5 545 31 14 16 | d = shin 20 4 7 22 506 27 36 | e = thigh 73 21 62 14 23 401 30 | f = upperarm 20 44 11 5 17 9 520 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3251 74.5642 % Incorrectly Classified Instances 1109 25.4358 % Kappa statistic 0.7032 Mean absolute error 0.0727 Root mean squared error 0.2696 Relative absolute error 29.6751 % Root relative squared error 77.0391 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.732 0.062 0.663 0.732 0.696 0.835 chest 0.709 0.033 0.783 0.709 0.744 0.838 forearm 0.721 0.038 0.76 0.721 0.74 0.841 head 0.857 0.021 0.872 0.857 0.865 0.918 shin 0.806 0.039 0.776 0.806 0.791 0.883 thigh 0.604 0.048 0.679 0.604 0.639 0.778 upperarm 0.792 0.057 0.7 0.792 0.743 0.868 waist Weighted Avg. 0.746 0.042 0.747 0.746 0.745 0.852 === Confusion Matrix === a b c d e f g <-- classified as 455 4 30 14 31 62 26 | a = chest 24 440 38 9 19 18 73 | b = forearm 44 30 449 8 14 55 23 | c = head 11 6 8 533 34 8 22 | d = shin 34 6 6 25 502 17 33 | e = thigh 103 27 54 10 17 376 36 | f = upperarm 15 49 6 12 30 18 496 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3258 74.7248 % Incorrectly Classified Instances 1102 25.2752 % Kappa statistic 0.7051 Mean absolute error 0.0722 Root mean squared error 0.2687 Relative absolute error 29.4878 % Root relative squared error 76.7956 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.744 0.058 0.683 0.744 0.712 0.843 chest 0.715 0.032 0.79 0.715 0.751 0.842 forearm 0.697 0.044 0.727 0.697 0.711 0.827 head 0.836 0.021 0.87 0.836 0.852 0.908 shin 0.835 0.037 0.79 0.835 0.812 0.899 thigh 0.613 0.053 0.66 0.613 0.636 0.78 upperarm 0.791 0.052 0.719 0.791 0.753 0.87 waist Weighted Avg. 0.747 0.042 0.748 0.747 0.747 0.853 === Confusion Matrix === a b c d e f g <-- classified as 463 6 40 7 22 62 22 | a = chest 21 444 37 10 21 22 66 | b = forearm 41 21 434 13 12 74 28 | c = head 11 6 3 520 46 13 23 | d = shin 20 9 10 24 520 17 23 | e = thigh 97 23 62 9 19 382 31 | f = upperarm 25 53 11 15 18 9 495 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3289 75.4358 % Incorrectly Classified Instances 1071 24.5642 % Kappa statistic 0.7134 Mean absolute error 0.0702 Root mean squared error 0.2649 Relative absolute error 28.6583 % Root relative squared error 75.7077 % Total Number of Instances 4360 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.739 0.058 0.68 0.739 0.708 0.841 chest 0.652 0.026 0.805 0.652 0.721 0.813 forearm 0.726 0.043 0.736 0.726 0.731 0.841 head 0.873 0.018 0.892 0.873 0.882 0.928 shin 0.851 0.034 0.805 0.851 0.827 0.908 thigh 0.604 0.05 0.67 0.604 0.635 0.777 upperarm 0.835 0.058 0.708 0.835 0.766 0.889 waist Weighted Avg. 0.754 0.041 0.757 0.754 0.753 0.857 === Confusion Matrix === a b c d e f g <-- classified as 459 6 31 8 21 67 29 | a = chest 34 405 40 8 24 25 85 | b = forearm 38 23 452 2 13 69 26 | c = head 10 6 6 544 33 10 14 | d = shin 28 3 6 21 530 6 29 | e = thigh 93 21 63 15 22 376 33 | f = upperarm 13 39 16 12 15 8 523 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3187 73.1131 % Incorrectly Classified Instances 1172 26.8869 % Kappa statistic 0.6863 Mean absolute error 0.0768 Root mean squared error 0.2772 Relative absolute error 31.3681 % Root relative squared error 79.2062 % Total Number of Instances 4359 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.726 0.062 0.662 0.726 0.693 0.832 chest 0.648 0.029 0.787 0.648 0.711 0.81 forearm 0.687 0.046 0.715 0.687 0.7 0.821 head 0.857 0.023 0.86 0.857 0.859 0.917 shin 0.804 0.036 0.789 0.804 0.797 0.884 thigh 0.584 0.059 0.622 0.584 0.603 0.763 upperarm 0.81 0.059 0.697 0.81 0.749 0.875 waist Weighted Avg. 0.731 0.045 0.733 0.731 0.73 0.843 === Confusion Matrix === a b c d e f g <-- classified as 451 6 44 15 25 54 26 | a = chest 28 402 48 13 10 39 80 | b = forearm 52 26 428 9 11 76 21 | c = head 11 3 4 534 37 15 19 | d = shin 28 4 11 19 501 24 36 | e = thigh 94 26 53 17 31 364 38 | f = upperarm 17 44 11 14 20 13 507 | g = waist ------------------------------------------------------------------------------------------------------ SUBJECT: 5 RUN: 0 FOLD: 0 Correctly Classified Instances 3400 82.9066 % Incorrectly Classified Instances 701 17.0934 % Kappa statistic 0.8006 Mean absolute error 0.0488 Root mean squared error 0.221 Relative absolute error 19.9423 % Root relative squared error 63.1543 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.881 0.026 0.849 0.881 0.864 0.927 chest 0.847 0.041 0.774 0.847 0.809 0.903 forearm 0.744 0.033 0.792 0.744 0.767 0.856 head 0.901 0.017 0.899 0.901 0.9 0.942 shin 0.908 0.028 0.843 0.908 0.874 0.94 thigh 0.702 0.03 0.798 0.702 0.747 0.836 upperarm 0.821 0.025 0.846 0.821 0.833 0.898 waist Weighted Avg. 0.829 0.028 0.829 0.829 0.828 0.9 === Confusion Matrix === a b c d e f g <-- classified as 516 7 14 8 18 21 2 | a = chest 10 493 31 6 10 14 18 | b = forearm 19 38 437 8 6 53 26 | c = head 3 6 10 528 26 7 6 | d = shin 15 5 0 6 532 4 24 | e = thigh 41 45 40 18 19 412 12 | f = upperarm 4 43 20 13 20 5 482 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3398 82.8578 % Incorrectly Classified Instances 703 17.1422 % Kappa statistic 0.8 Mean absolute error 0.049 Root mean squared error 0.2213 Relative absolute error 19.9992 % Root relative squared error 63.2443 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.872 0.021 0.874 0.872 0.873 0.926 chest 0.844 0.039 0.782 0.844 0.812 0.902 forearm 0.748 0.033 0.791 0.748 0.769 0.857 head 0.889 0.014 0.914 0.889 0.901 0.938 shin 0.894 0.033 0.817 0.894 0.854 0.93 thigh 0.709 0.032 0.789 0.709 0.747 0.839 upperarm 0.845 0.028 0.833 0.845 0.839 0.908 waist Weighted Avg. 0.829 0.029 0.829 0.829 0.828 0.9 === Confusion Matrix === a b c d e f g <-- classified as 512 8 16 5 21 16 9 | a = chest 4 491 19 7 16 22 23 | b = forearm 13 31 439 12 4 58 30 | c = head 5 9 8 521 27 7 9 | d = shin 15 16 3 9 524 2 17 | e = thigh 32 43 48 9 28 416 11 | f = upperarm 5 30 22 7 21 6 495 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3396 82.8091 % Incorrectly Classified Instances 705 17.1909 % Kappa statistic 0.7994 Mean absolute error 0.0491 Root mean squared error 0.2216 Relative absolute error 20.0561 % Root relative squared error 63.3342 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.882 0.025 0.855 0.882 0.868 0.929 chest 0.83 0.043 0.763 0.83 0.795 0.894 forearm 0.771 0.034 0.793 0.771 0.782 0.869 head 0.875 0.014 0.914 0.875 0.895 0.931 shin 0.903 0.028 0.845 0.903 0.873 0.938 thigh 0.687 0.032 0.783 0.687 0.731 0.827 upperarm 0.848 0.026 0.844 0.848 0.846 0.911 waist Weighted Avg. 0.828 0.029 0.828 0.828 0.827 0.9 === Confusion Matrix === a b c d e f g <-- classified as 518 5 14 4 19 21 6 | a = chest 8 484 20 9 12 28 22 | b = forearm 10 38 452 8 2 49 27 | c = head 5 11 11 513 26 6 14 | d = shin 20 7 2 12 529 4 12 | e = thigh 37 45 56 11 24 403 11 | f = upperarm 8 44 15 4 14 4 497 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3361 81.9556 % Incorrectly Classified Instances 740 18.0444 % Kappa statistic 0.7895 Mean absolute error 0.0516 Root mean squared error 0.2271 Relative absolute error 21.0518 % Root relative squared error 64.8873 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.888 0.026 0.849 0.888 0.868 0.931 chest 0.811 0.038 0.778 0.811 0.794 0.886 forearm 0.763 0.035 0.783 0.763 0.773 0.864 head 0.887 0.016 0.901 0.887 0.894 0.936 shin 0.875 0.03 0.827 0.875 0.851 0.922 thigh 0.697 0.034 0.772 0.697 0.732 0.831 upperarm 0.816 0.029 0.823 0.816 0.819 0.893 waist Weighted Avg. 0.82 0.03 0.819 0.82 0.819 0.895 === Confusion Matrix === a b c d e f g <-- classified as 521 8 6 9 11 23 9 | a = chest 10 473 34 8 13 19 26 | b = forearm 13 32 447 8 6 55 25 | c = head 6 4 7 520 30 8 11 | d = shin 15 13 2 13 513 6 24 | e = thigh 38 34 55 14 29 409 8 | f = upperarm 11 44 20 5 18 10 478 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3376 82.3214 % Incorrectly Classified Instances 725 17.6786 % Kappa statistic 0.7938 Mean absolute error 0.0505 Root mean squared error 0.2247 Relative absolute error 20.6251 % Root relative squared error 64.2263 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.862 0.026 0.848 0.862 0.855 0.918 chest 0.832 0.045 0.754 0.832 0.791 0.893 forearm 0.753 0.036 0.779 0.753 0.766 0.858 head 0.884 0.014 0.915 0.884 0.899 0.935 shin 0.896 0.025 0.855 0.896 0.875 0.935 thigh 0.693 0.032 0.784 0.693 0.736 0.831 upperarm 0.843 0.029 0.829 0.843 0.836 0.907 waist Weighted Avg. 0.823 0.029 0.824 0.823 0.823 0.897 === Confusion Matrix === a b c d e f g <-- classified as 506 17 8 8 15 28 5 | a = chest 6 485 35 6 8 14 29 | b = forearm 16 37 441 7 3 48 34 | c = head 10 9 6 518 25 11 7 | d = shin 14 14 2 6 525 5 20 | e = thigh 40 44 55 10 24 407 7 | f = upperarm 5 37 19 11 14 6 494 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3375 82.297 % Incorrectly Classified Instances 726 17.703 % Kappa statistic 0.7935 Mean absolute error 0.0506 Root mean squared error 0.2249 Relative absolute error 20.6535 % Root relative squared error 64.2705 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.853 0.021 0.873 0.853 0.863 0.916 chest 0.82 0.041 0.77 0.82 0.794 0.89 forearm 0.77 0.038 0.771 0.77 0.77 0.866 head 0.901 0.014 0.913 0.901 0.907 0.943 shin 0.901 0.024 0.863 0.901 0.881 0.939 thigh 0.721 0.038 0.758 0.721 0.739 0.841 upperarm 0.795 0.03 0.813 0.795 0.804 0.882 waist Weighted Avg. 0.823 0.029 0.823 0.823 0.823 0.897 === Confusion Matrix === a b c d e f g <-- classified as 501 8 8 9 23 33 5 | a = chest 5 478 37 7 4 28 24 | b = forearm 13 26 451 5 1 59 31 | c = head 4 9 7 528 13 6 19 | d = shin 14 9 1 9 528 3 22 | e = thigh 29 44 53 14 18 423 6 | f = upperarm 8 47 28 6 25 6 466 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3328 81.1509 % Incorrectly Classified Instances 773 18.8491 % Kappa statistic 0.7801 Mean absolute error 0.0539 Root mean squared error 0.2321 Relative absolute error 21.9906 % Root relative squared error 66.3183 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.882 0.021 0.875 0.882 0.879 0.931 chest 0.787 0.049 0.726 0.787 0.756 0.869 forearm 0.763 0.038 0.768 0.763 0.765 0.862 head 0.86 0.018 0.89 0.86 0.875 0.921 shin 0.886 0.029 0.836 0.886 0.86 0.928 thigh 0.692 0.033 0.778 0.692 0.732 0.829 upperarm 0.811 0.032 0.811 0.811 0.811 0.89 waist Weighted Avg. 0.812 0.031 0.812 0.812 0.811 0.89 === Confusion Matrix === a b c d e f g <-- classified as 518 8 12 7 17 22 3 | a = chest 6 459 39 4 11 29 35 | b = forearm 13 34 447 12 3 46 31 | c = head 5 14 11 504 33 9 10 | d = shin 13 15 2 12 519 3 22 | e = thigh 31 48 50 21 21 406 10 | f = upperarm 6 54 21 6 17 7 475 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3379 82.3945 % Incorrectly Classified Instances 722 17.6055 % Kappa statistic 0.7946 Mean absolute error 0.0503 Root mean squared error 0.2243 Relative absolute error 20.5397 % Root relative squared error 64.0932 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.886 0.025 0.854 0.886 0.87 0.93 chest 0.804 0.047 0.739 0.804 0.77 0.879 forearm 0.756 0.038 0.77 0.756 0.763 0.859 head 0.904 0.015 0.909 0.904 0.907 0.945 shin 0.908 0.026 0.854 0.908 0.88 0.941 thigh 0.685 0.028 0.806 0.685 0.74 0.829 upperarm 0.824 0.027 0.837 0.824 0.831 0.899 waist Weighted Avg. 0.824 0.029 0.824 0.824 0.823 0.897 === Confusion Matrix === a b c d e f g <-- classified as 520 6 16 9 12 16 8 | a = chest 7 469 40 10 5 25 27 | b = forearm 15 47 443 6 3 43 29 | c = head 3 7 7 530 27 6 6 | d = shin 18 12 1 9 532 2 12 | e = thigh 37 53 47 14 22 402 12 | f = upperarm 9 41 21 5 22 5 483 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3382 82.4677 % Incorrectly Classified Instances 719 17.5323 % Kappa statistic 0.7955 Mean absolute error 0.0501 Root mean squared error 0.2238 Relative absolute error 20.4544 % Root relative squared error 63.96 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.903 0.025 0.858 0.903 0.88 0.939 chest 0.811 0.037 0.783 0.811 0.797 0.887 forearm 0.779 0.042 0.758 0.779 0.768 0.868 head 0.848 0.014 0.908 0.848 0.877 0.917 shin 0.901 0.029 0.838 0.901 0.868 0.936 thigh 0.707 0.035 0.773 0.707 0.738 0.836 upperarm 0.825 0.023 0.858 0.825 0.841 0.901 waist Weighted Avg. 0.825 0.029 0.825 0.825 0.824 0.898 === Confusion Matrix === a b c d e f g <-- classified as 530 4 8 7 11 25 2 | a = chest 6 473 43 9 13 16 23 | b = forearm 13 29 457 5 3 54 26 | c = head 9 10 16 496 37 12 5 | d = shin 14 9 4 10 527 4 17 | e = thigh 33 42 56 15 19 415 7 | f = upperarm 13 37 19 4 19 11 484 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3412 83.2195 % Incorrectly Classified Instances 688 16.7805 % Kappa statistic 0.8042 Mean absolute error 0.0479 Root mean squared error 0.219 Relative absolute error 19.5773 % Root relative squared error 62.5736 % Total Number of Instances 4100 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.913 0.02 0.886 0.913 0.899 0.947 chest 0.84 0.049 0.741 0.84 0.787 0.896 forearm 0.775 0.031 0.807 0.775 0.791 0.872 head 0.901 0.019 0.889 0.901 0.895 0.941 shin 0.894 0.024 0.859 0.894 0.876 0.935 thigh 0.696 0.03 0.797 0.696 0.743 0.833 upperarm 0.806 0.024 0.851 0.806 0.828 0.891 waist Weighted Avg. 0.832 0.028 0.833 0.832 0.831 0.902 === Confusion Matrix === a b c d e f g <-- classified as 536 6 7 7 11 16 4 | a = chest 5 489 32 7 13 12 24 | b = forearm 18 35 455 6 4 46 23 | c = head 4 11 5 528 20 9 9 | d = shin 10 15 0 12 523 11 14 | e = thigh 29 52 49 24 15 408 9 | f = upperarm 3 52 16 10 23 10 473 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 1 FOLD: 0 Correctly Classified Instances 3398 82.8578 % Incorrectly Classified Instances 703 17.1422 % Kappa statistic 0.8 Mean absolute error 0.049 Root mean squared error 0.2213 Relative absolute error 19.9992 % Root relative squared error 63.2443 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.884 0.019 0.887 0.884 0.886 0.933 chest 0.81 0.046 0.743 0.81 0.775 0.882 forearm 0.78 0.036 0.781 0.78 0.781 0.872 head 0.887 0.015 0.908 0.887 0.897 0.936 shin 0.92 0.026 0.856 0.92 0.887 0.947 thigh 0.71 0.032 0.787 0.71 0.747 0.839 upperarm 0.809 0.025 0.842 0.809 0.825 0.892 waist Weighted Avg. 0.829 0.029 0.829 0.829 0.828 0.9 === Confusion Matrix === a b c d e f g <-- classified as 519 8 11 6 12 26 5 | a = chest 5 472 37 10 18 14 27 | b = forearm 17 34 457 7 1 58 12 | c = head 4 12 6 520 26 7 11 | d = shin 10 6 0 7 539 2 22 | e = thigh 25 52 49 14 18 417 12 | f = upperarm 5 51 25 9 16 6 474 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3385 82.5408 % Incorrectly Classified Instances 716 17.4592 % Kappa statistic 0.7963 Mean absolute error 0.0499 Root mean squared error 0.2233 Relative absolute error 20.369 % Root relative squared error 63.8264 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.874 0.023 0.862 0.874 0.868 0.925 chest 0.822 0.041 0.769 0.822 0.794 0.89 forearm 0.73 0.031 0.796 0.73 0.762 0.85 head 0.91 0.02 0.884 0.91 0.897 0.945 shin 0.875 0.024 0.858 0.875 0.867 0.926 thigh 0.729 0.035 0.778 0.729 0.753 0.847 upperarm 0.838 0.029 0.827 0.838 0.832 0.904 waist Weighted Avg. 0.825 0.029 0.825 0.825 0.825 0.898 === Confusion Matrix === a b c d e f g <-- classified as 513 7 14 6 18 22 7 | a = chest 6 479 27 13 10 22 26 | b = forearm 14 43 428 16 2 59 24 | c = head 4 5 7 533 25 3 9 | d = shin 15 14 1 9 513 7 27 | e = thigh 37 35 40 18 19 428 10 | f = upperarm 6 40 21 8 11 9 491 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3402 82.9554 % Incorrectly Classified Instances 699 17.0446 % Kappa statistic 0.8011 Mean absolute error 0.0487 Root mean squared error 0.2207 Relative absolute error 19.8854 % Root relative squared error 63.0641 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.877 0.023 0.864 0.877 0.871 0.927 chest 0.835 0.042 0.766 0.835 0.799 0.896 forearm 0.77 0.033 0.794 0.77 0.782 0.868 head 0.915 0.017 0.902 0.915 0.908 0.949 shin 0.904 0.025 0.859 0.904 0.881 0.94 thigh 0.705 0.035 0.77 0.705 0.736 0.835 upperarm 0.8 0.024 0.85 0.8 0.824 0.888 waist Weighted Avg. 0.83 0.028 0.829 0.83 0.829 0.901 === Confusion Matrix === a b c d e f g <-- classified as 515 8 10 10 15 26 3 | a = chest 6 487 31 5 7 20 27 | b = forearm 12 34 451 7 0 54 28 | c = head 6 7 6 536 18 8 5 | d = shin 13 11 4 12 530 9 7 | e = thigh 37 38 50 16 19 414 13 | f = upperarm 7 51 16 8 28 7 469 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3353 81.7605 % Incorrectly Classified Instances 748 18.2395 % Kappa statistic 0.7872 Mean absolute error 0.0521 Root mean squared error 0.2283 Relative absolute error 21.2794 % Root relative squared error 65.2371 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.865 0.028 0.838 0.865 0.852 0.919 chest 0.818 0.042 0.764 0.818 0.79 0.888 forearm 0.759 0.036 0.778 0.759 0.769 0.862 head 0.863 0.016 0.9 0.863 0.882 0.924 shin 0.891 0.03 0.83 0.891 0.859 0.93 thigh 0.704 0.036 0.763 0.704 0.732 0.834 upperarm 0.823 0.024 0.85 0.823 0.836 0.899 waist Weighted Avg. 0.818 0.03 0.818 0.818 0.817 0.894 === Confusion Matrix === a b c d e f g <-- classified as 508 8 11 7 23 22 8 | a = chest 8 477 26 5 11 33 23 | b = forearm 15 37 445 7 3 48 31 | c = head 8 4 12 506 35 11 10 | d = shin 19 11 4 17 522 6 7 | e = thigh 37 44 53 14 20 413 6 | f = upperarm 11 43 21 6 15 8 482 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3399 82.8822 % Incorrectly Classified Instances 702 17.1178 % Kappa statistic 0.8003 Mean absolute error 0.0489 Root mean squared error 0.2212 Relative absolute error 19.9708 % Root relative squared error 63.1993 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.876 0.022 0.868 0.876 0.872 0.927 chest 0.834 0.037 0.79 0.834 0.811 0.898 forearm 0.775 0.035 0.788 0.775 0.781 0.87 head 0.865 0.016 0.899 0.865 0.882 0.924 shin 0.91 0.033 0.823 0.91 0.864 0.938 thigh 0.721 0.031 0.794 0.721 0.755 0.845 upperarm 0.823 0.026 0.841 0.823 0.832 0.898 waist Weighted Avg. 0.829 0.029 0.829 0.829 0.828 0.9 === Confusion Matrix === a b c d e f g <-- classified as 514 6 11 7 19 25 5 | a = chest 5 486 29 6 8 20 29 | b = forearm 14 31 454 9 8 42 28 | c = head 7 12 8 507 28 13 11 | d = shin 17 6 1 14 533 3 12 | e = thigh 29 40 53 13 23 423 6 | f = upperarm 6 34 20 8 29 7 482 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3375 82.297 % Incorrectly Classified Instances 726 17.703 % Kappa statistic 0.7935 Mean absolute error 0.0506 Root mean squared error 0.2249 Relative absolute error 20.6535 % Root relative squared error 64.2705 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.899 0.019 0.887 0.899 0.893 0.94 chest 0.834 0.045 0.753 0.834 0.792 0.894 forearm 0.765 0.038 0.77 0.765 0.767 0.863 head 0.877 0.016 0.902 0.877 0.889 0.931 shin 0.872 0.025 0.853 0.872 0.862 0.923 thigh 0.692 0.036 0.762 0.692 0.725 0.828 upperarm 0.823 0.027 0.835 0.823 0.829 0.898 waist Weighted Avg. 0.823 0.029 0.823 0.823 0.823 0.897 === Confusion Matrix === a b c d e f g <-- classified as 528 3 11 9 14 18 4 | a = chest 4 486 37 7 4 22 23 | b = forearm 16 38 448 3 5 53 23 | c = head 1 11 14 514 21 14 11 | d = shin 12 16 1 12 511 9 25 | e = thigh 31 47 54 15 25 406 9 | f = upperarm 3 44 17 10 19 11 482 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3386 82.5652 % Incorrectly Classified Instances 715 17.4348 % Kappa statistic 0.7966 Mean absolute error 0.0498 Root mean squared error 0.2232 Relative absolute error 20.3406 % Root relative squared error 63.7818 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.886 0.026 0.851 0.886 0.868 0.93 chest 0.811 0.039 0.775 0.811 0.793 0.886 forearm 0.748 0.031 0.801 0.748 0.774 0.858 head 0.892 0.018 0.894 0.892 0.893 0.937 shin 0.918 0.025 0.859 0.918 0.888 0.946 thigh 0.693 0.037 0.758 0.693 0.724 0.828 upperarm 0.831 0.028 0.833 0.831 0.832 0.902 waist Weighted Avg. 0.826 0.029 0.824 0.826 0.824 0.898 === Confusion Matrix === a b c d e f g <-- classified as 520 9 6 7 12 24 9 | a = chest 10 472 29 8 9 27 27 | b = forearm 17 26 439 12 6 56 31 | c = head 5 12 5 523 21 14 6 | d = shin 13 9 2 6 537 2 16 | e = thigh 42 43 49 17 20 407 9 | f = upperarm 4 38 18 12 20 7 488 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3367 82.1019 % Incorrectly Classified Instances 734 17.8981 % Kappa statistic 0.7912 Mean absolute error 0.0511 Root mean squared error 0.2261 Relative absolute error 20.8811 % Root relative squared error 64.6237 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.896 0.028 0.842 0.896 0.868 0.934 chest 0.823 0.044 0.757 0.823 0.788 0.89 forearm 0.75 0.031 0.8 0.75 0.774 0.859 head 0.877 0.013 0.919 0.877 0.898 0.932 shin 0.879 0.024 0.857 0.879 0.868 0.927 thigh 0.697 0.038 0.756 0.697 0.725 0.83 upperarm 0.826 0.031 0.818 0.826 0.822 0.898 waist Weighted Avg. 0.821 0.03 0.821 0.821 0.82 0.896 === Confusion Matrix === a b c d e f g <-- classified as 526 5 7 5 9 27 8 | a = chest 11 479 29 6 8 27 22 | b = forearm 17 36 440 8 1 52 33 | c = head 8 9 5 514 31 10 9 | d = shin 21 13 1 9 514 6 21 | e = thigh 34 46 47 16 20 409 15 | f = upperarm 8 45 21 1 17 10 485 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3376 82.3214 % Incorrectly Classified Instances 725 17.6786 % Kappa statistic 0.7938 Mean absolute error 0.0505 Root mean squared error 0.2247 Relative absolute error 20.6251 % Root relative squared error 64.2263 % Total Number of Instances 4101 === 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 0.926 chest 0.821 0.04 0.773 0.821 0.797 0.891 forearm 0.761 0.035 0.786 0.761 0.773 0.863 head 0.894 0.015 0.906 0.894 0.9 0.939 shin 0.887 0.025 0.857 0.887 0.872 0.931 thigh 0.681 0.039 0.746 0.681 0.712 0.821 upperarm 0.838 0.026 0.841 0.838 0.84 0.906 waist Weighted Avg. 0.823 0.029 0.822 0.823 0.822 0.897 === Confusion Matrix === a b c d e f g <-- classified as 516 7 7 9 15 31 2 | a = chest 6 478 32 7 7 27 25 | b = forearm 16 25 447 8 6 58 27 | c = head 6 4 8 523 25 8 11 | d = shin 15 18 2 10 520 4 17 | e = thigh 37 50 57 14 18 400 11 | f = upperarm 13 36 16 6 16 8 492 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3384 82.5366 % Incorrectly Classified Instances 716 17.4634 % Kappa statistic 0.7963 Mean absolute error 0.0499 Root mean squared error 0.2234 Relative absolute error 20.374 % Root relative squared error 63.8341 % Total Number of Instances 4100 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.892 0.022 0.872 0.892 0.882 0.935 chest 0.822 0.039 0.776 0.822 0.798 0.891 forearm 0.76 0.034 0.787 0.76 0.773 0.863 head 0.881 0.017 0.897 0.881 0.889 0.932 shin 0.898 0.028 0.843 0.898 0.869 0.935 thigh 0.715 0.034 0.776 0.715 0.744 0.84 upperarm 0.811 0.029 0.823 0.811 0.817 0.891 waist Weighted Avg. 0.825 0.029 0.825 0.825 0.825 0.898 === Confusion Matrix === a b c d e f g <-- classified as 523 11 10 6 10 22 4 | a = chest 8 479 30 11 14 19 22 | b = forearm 10 33 446 7 4 56 31 | c = head 6 4 10 516 25 9 16 | d = shin 15 5 3 12 526 6 19 | e = thigh 31 41 44 18 23 419 10 | f = upperarm 7 44 24 5 22 9 475 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 2 FOLD: 0 Correctly Classified Instances 3377 82.3458 % Incorrectly Classified Instances 724 17.6542 % Kappa statistic 0.794 Mean absolute error 0.0504 Root mean squared error 0.2246 Relative absolute error 20.5966 % Root relative squared error 64.182 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.891 0.027 0.847 0.891 0.869 0.932 chest 0.806 0.042 0.759 0.806 0.782 0.882 forearm 0.78 0.037 0.778 0.78 0.779 0.871 head 0.884 0.017 0.896 0.884 0.89 0.933 shin 0.894 0.024 0.862 0.894 0.878 0.935 thigh 0.671 0.028 0.798 0.671 0.729 0.821 upperarm 0.838 0.03 0.823 0.838 0.83 0.904 waist Weighted Avg. 0.823 0.029 0.823 0.823 0.822 0.897 === Confusion Matrix === a b c d e f g <-- classified as 522 5 10 7 11 22 9 | a = chest 6 469 35 8 9 18 37 | b = forearm 21 34 458 8 1 41 24 | c = head 6 6 10 518 25 10 11 | d = shin 11 14 5 11 524 3 18 | e = thigh 47 51 49 17 22 394 7 | f = upperarm 3 39 22 9 16 6 492 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3361 81.9556 % Incorrectly Classified Instances 740 18.0444 % Kappa statistic 0.7895 Mean absolute error 0.0516 Root mean squared error 0.2271 Relative absolute error 21.0518 % Root relative squared error 64.8873 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.908 0.026 0.854 0.908 0.88 0.941 chest 0.794 0.043 0.754 0.794 0.773 0.875 forearm 0.716 0.034 0.778 0.716 0.745 0.841 head 0.91 0.015 0.913 0.91 0.911 0.948 shin 0.903 0.026 0.852 0.903 0.877 0.938 thigh 0.7 0.037 0.761 0.7 0.729 0.832 upperarm 0.807 0.03 0.817 0.807 0.812 0.889 waist Weighted Avg. 0.82 0.03 0.818 0.82 0.818 0.895 === Confusion Matrix === a b c d e f g <-- classified as 533 5 7 7 10 22 3 | a = chest 7 462 35 7 13 22 36 | b = forearm 12 43 420 10 5 65 32 | c = head 4 7 11 533 19 7 5 | d = shin 17 10 1 8 529 8 13 | e = thigh 44 40 41 13 21 411 17 | f = upperarm 7 46 25 6 24 5 473 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3443 83.9551 % Incorrectly Classified Instances 658 16.0449 % Kappa statistic 0.8128 Mean absolute error 0.0458 Root mean squared error 0.2141 Relative absolute error 18.719 % Root relative squared error 61.1867 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.899 0.021 0.877 0.899 0.888 0.939 chest 0.859 0.036 0.796 0.859 0.826 0.911 forearm 0.779 0.034 0.793 0.779 0.786 0.872 head 0.853 0.014 0.909 0.853 0.88 0.92 shin 0.908 0.026 0.855 0.908 0.881 0.941 thigh 0.736 0.029 0.809 0.736 0.771 0.853 upperarm 0.843 0.027 0.839 0.843 0.841 0.908 waist Weighted Avg. 0.84 0.027 0.84 0.84 0.839 0.906 === Confusion Matrix === a b c d e f g <-- classified as 528 2 13 6 11 21 6 | a = chest 3 500 32 7 5 14 21 | b = forearm 12 36 457 12 2 42 26 | c = head 4 12 10 500 35 15 10 | d = shin 13 10 2 6 532 3 20 | e = thigh 33 28 42 18 22 432 12 | f = upperarm 9 40 20 1 15 7 494 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3381 82.4433 % Incorrectly Classified Instances 720 17.5567 % Kappa statistic 0.7952 Mean absolute error 0.0502 Root mean squared error 0.224 Relative absolute error 20.4828 % Root relative squared error 64.0044 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.867 0.025 0.853 0.867 0.86 0.921 chest 0.837 0.037 0.79 0.837 0.813 0.9 forearm 0.78 0.035 0.789 0.78 0.785 0.873 head 0.869 0.016 0.901 0.869 0.884 0.926 shin 0.887 0.029 0.837 0.887 0.862 0.929 thigh 0.705 0.035 0.772 0.705 0.737 0.835 upperarm 0.826 0.029 0.827 0.826 0.827 0.899 waist Weighted Avg. 0.824 0.029 0.824 0.824 0.824 0.898 === Confusion Matrix === a b c d e f g <-- classified as 509 5 12 7 17 28 9 | a = chest 5 488 29 3 13 26 19 | b = forearm 17 28 457 10 4 46 24 | c = head 7 10 5 509 27 10 18 | d = shin 18 9 1 10 520 6 22 | e = thigh 33 41 61 14 15 414 9 | f = upperarm 8 37 14 12 25 6 484 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3311 80.7364 % Incorrectly Classified Instances 790 19.2636 % Kappa statistic 0.7753 Mean absolute error 0.055 Root mean squared error 0.2346 Relative absolute error 22.4742 % Root relative squared error 67.0436 % Total Number of Instances 4101 === 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 0.923 chest 0.806 0.048 0.736 0.806 0.769 0.879 forearm 0.735 0.036 0.775 0.735 0.755 0.85 head 0.877 0.017 0.897 0.877 0.887 0.93 shin 0.91 0.036 0.808 0.91 0.856 0.937 thigh 0.666 0.032 0.777 0.666 0.717 0.817 upperarm 0.787 0.031 0.807 0.787 0.797 0.878 waist Weighted Avg. 0.807 0.032 0.808 0.807 0.806 0.888 === Confusion Matrix === a b c d e f g <-- classified as 511 10 8 8 22 23 5 | a = chest 8 470 32 11 13 20 29 | b = forearm 14 36 431 6 6 57 36 | c = head 9 10 7 514 35 0 11 | d = shin 14 10 0 8 533 5 16 | e = thigh 33 50 61 18 21 391 13 | f = upperarm 10 53 17 8 30 7 461 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3385 82.5408 % Incorrectly Classified Instances 716 17.4592 % Kappa statistic 0.7963 Mean absolute error 0.0499 Root mean squared error 0.2233 Relative absolute error 20.369 % Root relative squared error 63.8264 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.874 0.023 0.862 0.874 0.868 0.925 chest 0.834 0.042 0.768 0.834 0.799 0.896 forearm 0.763 0.034 0.788 0.763 0.775 0.864 head 0.903 0.014 0.914 0.903 0.908 0.944 shin 0.87 0.025 0.853 0.87 0.861 0.923 thigh 0.681 0.03 0.789 0.681 0.731 0.825 upperarm 0.853 0.035 0.804 0.853 0.828 0.909 waist Weighted Avg. 0.825 0.029 0.825 0.825 0.824 0.898 === Confusion Matrix === a b c d e f g <-- classified as 513 13 9 5 19 21 7 | a = chest 9 486 28 8 7 20 25 | b = forearm 12 31 447 5 5 49 37 | c = head 6 5 10 529 22 2 12 | d = shin 14 14 1 15 510 5 27 | e = thigh 37 44 54 14 24 400 14 | f = upperarm 4 40 18 3 11 10 500 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3397 82.8335 % Incorrectly Classified Instances 704 17.1665 % Kappa statistic 0.7997 Mean absolute error 0.049 Root mean squared error 0.2215 Relative absolute error 20.0277 % Root relative squared error 63.2893 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.876 0.022 0.867 0.876 0.871 0.927 chest 0.854 0.045 0.76 0.854 0.805 0.905 forearm 0.775 0.033 0.796 0.775 0.785 0.871 head 0.881 0.016 0.901 0.881 0.89 0.932 shin 0.91 0.028 0.842 0.91 0.874 0.941 thigh 0.7 0.032 0.784 0.7 0.74 0.834 upperarm 0.804 0.023 0.852 0.804 0.827 0.89 waist Weighted Avg. 0.828 0.029 0.829 0.828 0.828 0.9 === Confusion Matrix === a b c d e f g <-- classified as 514 10 12 6 15 22 8 | a = chest 7 498 23 6 10 16 23 | b = forearm 14 31 454 8 2 56 21 | c = head 8 6 9 516 29 10 8 | d = shin 16 13 1 8 533 3 12 | e = thigh 26 50 53 16 21 411 10 | f = upperarm 8 47 18 13 23 6 471 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3375 82.297 % Incorrectly Classified Instances 726 17.703 % Kappa statistic 0.7935 Mean absolute error 0.0506 Root mean squared error 0.2249 Relative absolute error 20.6535 % Root relative squared error 64.2705 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.891 0.026 0.849 0.891 0.869 0.932 chest 0.813 0.042 0.762 0.813 0.787 0.885 forearm 0.759 0.036 0.777 0.759 0.768 0.861 head 0.901 0.015 0.909 0.901 0.905 0.943 shin 0.889 0.028 0.842 0.889 0.865 0.931 thigh 0.688 0.034 0.774 0.688 0.729 0.827 upperarm 0.819 0.025 0.845 0.819 0.832 0.897 waist Weighted Avg. 0.823 0.029 0.822 0.823 0.822 0.897 === Confusion Matrix === a b c d e f g <-- classified as 523 6 12 4 18 23 1 | a = chest 10 474 28 10 10 22 29 | b = forearm 21 32 445 5 3 54 26 | c = head 6 11 6 528 23 7 5 | d = shin 21 13 3 8 521 3 17 | e = thigh 28 40 60 17 28 404 10 | f = upperarm 7 46 19 9 16 9 480 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3367 82.1019 % Incorrectly Classified Instances 734 17.8981 % Kappa statistic 0.7912 Mean absolute error 0.0511 Root mean squared error 0.2261 Relative absolute error 20.8811 % Root relative squared error 64.6237 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.871 0.026 0.846 0.871 0.858 0.922 chest 0.794 0.04 0.768 0.794 0.781 0.877 forearm 0.77 0.034 0.79 0.77 0.78 0.868 head 0.879 0.016 0.9 0.879 0.889 0.931 shin 0.889 0.031 0.825 0.889 0.856 0.929 thigh 0.721 0.031 0.795 0.721 0.756 0.845 upperarm 0.825 0.03 0.822 0.825 0.823 0.897 waist Weighted Avg. 0.821 0.03 0.821 0.821 0.82 0.896 === Confusion Matrix === a b c d e f g <-- classified as 511 8 9 8 20 26 5 | a = chest 8 463 36 9 13 21 33 | b = forearm 16 32 451 10 4 43 30 | c = head 6 12 10 515 25 11 7 | d = shin 15 7 3 14 520 2 24 | e = thigh 39 46 40 7 26 423 6 | f = upperarm 9 35 22 9 22 6 484 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3385 82.561 % Incorrectly Classified Instances 715 17.439 % Kappa statistic 0.7965 Mean absolute error 0.0498 Root mean squared error 0.2232 Relative absolute error 20.3455 % Root relative squared error 63.7896 % Total Number of Instances 4100 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.893 0.026 0.853 0.893 0.873 0.934 chest 0.827 0.042 0.765 0.827 0.795 0.892 forearm 0.731 0.037 0.769 0.731 0.749 0.847 head 0.896 0.016 0.905 0.896 0.9 0.94 shin 0.897 0.023 0.865 0.897 0.881 0.937 thigh 0.691 0.031 0.788 0.691 0.736 0.83 upperarm 0.845 0.029 0.829 0.845 0.837 0.908 waist Weighted Avg. 0.826 0.029 0.825 0.826 0.824 0.898 === Confusion Matrix === a b c d e f g <-- classified as 524 9 12 7 12 16 7 | a = chest 5 482 35 8 11 23 19 | b = forearm 15 43 429 6 2 53 39 | c = head 5 4 6 524 26 8 12 | d = shin 13 13 2 13 525 2 17 | e = thigh 44 40 54 16 19 405 8 | f = upperarm 8 39 20 5 12 7 496 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 3 FOLD: 0 Correctly Classified Instances 3389 82.6384 % Incorrectly Classified Instances 712 17.3616 % Kappa statistic 0.7975 Mean absolute error 0.0496 Root mean squared error 0.2227 Relative absolute error 20.2552 % Root relative squared error 63.6479 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.872 0.022 0.869 0.872 0.871 0.925 chest 0.816 0.046 0.745 0.816 0.779 0.885 forearm 0.787 0.031 0.809 0.787 0.798 0.878 head 0.896 0.016 0.902 0.896 0.899 0.94 shin 0.886 0.028 0.843 0.886 0.864 0.929 thigh 0.698 0.029 0.801 0.698 0.746 0.835 upperarm 0.83 0.03 0.82 0.83 0.825 0.9 waist Weighted Avg. 0.826 0.029 0.827 0.826 0.826 0.899 === Confusion Matrix === a b c d e f g <-- classified as 512 6 10 10 18 19 12 | a = chest 7 475 31 7 14 22 26 | b = forearm 10 37 461 4 3 47 24 | c = head 4 9 11 525 21 6 10 | d = shin 15 12 2 10 519 4 24 | e = thigh 37 48 42 17 22 410 11 | f = upperarm 4 51 13 9 19 4 487 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3404 83.0041 % Incorrectly Classified Instances 697 16.9959 % Kappa statistic 0.8017 Mean absolute error 0.0486 Root mean squared error 0.2204 Relative absolute error 19.8285 % Root relative squared error 62.9738 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.908 0.026 0.856 0.908 0.881 0.941 chest 0.828 0.046 0.75 0.828 0.787 0.891 forearm 0.773 0.033 0.798 0.773 0.785 0.87 head 0.908 0.013 0.92 0.908 0.914 0.947 shin 0.891 0.019 0.885 0.891 0.888 0.936 thigh 0.692 0.034 0.773 0.692 0.73 0.829 upperarm 0.811 0.028 0.829 0.811 0.82 0.892 waist Weighted Avg. 0.83 0.028 0.83 0.83 0.829 0.901 === Confusion Matrix === a b c d e f g <-- classified as 533 4 11 4 7 23 5 | a = chest 7 482 20 9 9 23 32 | b = forearm 16 36 453 9 1 46 25 | c = head 3 8 3 532 21 10 9 | d = shin 21 11 1 7 522 7 17 | e = thigh 37 59 53 11 11 406 10 | f = upperarm 6 43 27 6 19 10 476 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3370 82.1751 % Incorrectly Classified Instances 731 17.8249 % Kappa statistic 0.792 Mean absolute error 0.0509 Root mean squared error 0.2257 Relative absolute error 20.7958 % Root relative squared error 64.4915 % Total Number of Instances 4101 === 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 0.922 chest 0.842 0.041 0.773 0.842 0.806 0.901 forearm 0.749 0.033 0.79 0.749 0.769 0.858 head 0.87 0.014 0.911 0.87 0.89 0.928 shin 0.892 0.029 0.838 0.892 0.864 0.932 thigh 0.697 0.033 0.781 0.697 0.736 0.832 upperarm 0.833 0.034 0.803 0.833 0.818 0.899 waist Weighted Avg. 0.822 0.03 0.822 0.822 0.821 0.896 === Confusion Matrix === a b c d e f g <-- classified as 510 7 10 9 16 26 9 | a = chest 8 490 32 9 7 19 17 | b = forearm 16 27 439 7 4 54 39 | c = head 4 10 9 510 32 8 13 | d = shin 14 8 1 8 523 3 29 | e = thigh 38 49 42 13 23 409 13 | f = upperarm 4 43 23 4 19 5 489 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3368 82.1263 % Incorrectly Classified Instances 733 17.8737 % Kappa statistic 0.7915 Mean absolute error 0.0511 Root mean squared error 0.226 Relative absolute error 20.8527 % Root relative squared error 64.5796 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.884 0.024 0.859 0.884 0.872 0.93 chest 0.798 0.04 0.769 0.798 0.783 0.879 forearm 0.775 0.04 0.763 0.775 0.769 0.868 head 0.87 0.016 0.899 0.87 0.884 0.927 shin 0.91 0.032 0.825 0.91 0.865 0.939 thigh 0.678 0.03 0.791 0.678 0.73 0.824 upperarm 0.834 0.026 0.842 0.834 0.838 0.904 waist Weighted Avg. 0.821 0.03 0.821 0.821 0.82 0.896 === Confusion Matrix === a b c d e f g <-- classified as 519 5 13 8 13 25 4 | a = chest 8 465 44 6 14 15 31 | b = forearm 12 34 455 8 3 52 23 | c = head 8 10 7 509 34 3 14 | d = shin 15 11 3 11 533 3 10 | e = thigh 34 41 54 15 35 398 10 | f = upperarm 8 39 20 9 14 7 489 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3360 81.9312 % Incorrectly Classified Instances 741 18.0688 % Kappa statistic 0.7892 Mean absolute error 0.0516 Root mean squared error 0.2272 Relative absolute error 21.0802 % Root relative squared error 64.9311 % Total Number of Instances 4101 === 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 0.927 chest 0.786 0.038 0.776 0.786 0.781 0.874 forearm 0.784 0.037 0.781 0.784 0.782 0.873 head 0.862 0.015 0.903 0.862 0.882 0.923 shin 0.894 0.03 0.831 0.894 0.862 0.932 thigh 0.687 0.036 0.762 0.687 0.722 0.825 upperarm 0.846 0.032 0.817 0.846 0.832 0.907 waist Weighted Avg. 0.819 0.03 0.819 0.819 0.819 0.895 === Confusion Matrix === a b c d e f g <-- classified as 515 8 10 9 20 24 1 | a = chest 6 458 34 11 11 22 41 | b = forearm 10 28 460 5 3 54 27 | c = head 5 10 9 505 33 13 11 | d = shin 13 9 4 10 523 5 21 | e = thigh 43 42 54 13 22 403 10 | f = upperarm 6 35 18 6 17 8 496 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3389 82.6384 % Incorrectly Classified Instances 712 17.3616 % Kappa statistic 0.7975 Mean absolute error 0.0496 Root mean squared error 0.2227 Relative absolute error 20.2552 % Root relative squared error 63.6478 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.888 0.02 0.88 0.888 0.884 0.934 chest 0.813 0.046 0.745 0.813 0.778 0.883 forearm 0.755 0.035 0.783 0.755 0.768 0.86 head 0.889 0.017 0.9 0.889 0.894 0.936 shin 0.884 0.024 0.862 0.884 0.873 0.93 thigh 0.722 0.032 0.79 0.722 0.754 0.845 upperarm 0.834 0.029 0.827 0.834 0.831 0.903 waist Weighted Avg. 0.826 0.029 0.827 0.826 0.826 0.899 === Confusion Matrix === a b c d e f g <-- classified as 521 5 12 7 12 23 7 | a = chest 6 474 36 7 10 19 31 | b = forearm 6 47 443 8 1 56 26 | c = head 7 7 11 521 24 7 9 | d = shin 17 13 1 12 517 4 21 | e = thigh 25 48 46 17 19 424 8 | f = upperarm 10 42 17 7 17 4 489 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3413 83.2236 % Incorrectly Classified Instances 688 16.7764 % Kappa statistic 0.8043 Mean absolute error 0.0479 Root mean squared error 0.2189 Relative absolute error 19.5725 % Root relative squared error 62.5659 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.877 0.026 0.85 0.877 0.863 0.926 chest 0.83 0.036 0.791 0.83 0.81 0.897 forearm 0.763 0.038 0.771 0.763 0.767 0.863 head 0.932 0.015 0.91 0.932 0.921 0.958 shin 0.896 0.024 0.863 0.896 0.879 0.936 thigh 0.692 0.026 0.814 0.692 0.748 0.833 upperarm 0.836 0.03 0.822 0.836 0.829 0.903 waist Weighted Avg. 0.832 0.028 0.832 0.832 0.831 0.902 === Confusion Matrix === a b c d e f g <-- classified as 514 9 10 7 19 21 6 | a = chest 7 484 36 8 8 16 24 | b = forearm 20 36 448 4 5 41 33 | c = head 4 5 7 546 10 6 8 | d = shin 15 8 2 11 525 4 21 | e = thigh 37 32 60 16 22 406 14 | f = upperarm 8 38 18 8 19 5 490 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3347 81.6142 % Incorrectly Classified Instances 754 18.3858 % Kappa statistic 0.7855 Mean absolute error 0.0525 Root mean squared error 0.2292 Relative absolute error 21.4501 % Root relative squared error 65.4982 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.882 0.023 0.863 0.882 0.873 0.93 chest 0.84 0.046 0.753 0.84 0.794 0.897 forearm 0.732 0.034 0.78 0.732 0.755 0.849 head 0.863 0.019 0.882 0.863 0.872 0.922 shin 0.892 0.03 0.83 0.892 0.86 0.931 thigh 0.719 0.032 0.789 0.719 0.752 0.843 upperarm 0.783 0.029 0.818 0.783 0.8 0.877 waist Weighted Avg. 0.816 0.031 0.816 0.816 0.815 0.893 === Confusion Matrix === a b c d e f g <-- classified as 518 9 9 8 14 22 7 | a = chest 9 490 35 5 6 17 21 | b = forearm 19 35 429 12 6 47 38 | c = head 6 9 7 506 29 13 16 | d = shin 15 14 2 13 523 5 14 | e = thigh 24 39 52 16 28 422 6 | f = upperarm 9 55 16 14 24 9 459 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3387 82.5896 % Incorrectly Classified Instances 714 17.4104 % Kappa statistic 0.7969 Mean absolute error 0.0497 Root mean squared error 0.223 Relative absolute error 20.3121 % Root relative squared error 63.7372 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.889 0.027 0.845 0.889 0.866 0.931 chest 0.813 0.038 0.781 0.813 0.797 0.888 forearm 0.747 0.033 0.789 0.747 0.768 0.857 head 0.882 0.013 0.917 0.882 0.899 0.934 shin 0.894 0.023 0.866 0.894 0.88 0.936 thigh 0.726 0.036 0.773 0.726 0.749 0.845 upperarm 0.829 0.033 0.809 0.829 0.819 0.898 waist Weighted Avg. 0.826 0.029 0.826 0.826 0.825 0.898 === Confusion Matrix === a b c d e f g <-- classified as 522 10 10 3 11 28 3 | a = chest 8 474 32 6 8 23 32 | b = forearm 20 32 438 9 3 53 31 | c = head 7 6 10 517 27 9 10 | d = shin 17 9 2 7 524 2 25 | e = thigh 34 36 47 17 13 426 14 | f = upperarm 10 40 16 5 19 10 486 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3391 82.7073 % Incorrectly Classified Instances 709 17.2927 % Kappa statistic 0.7983 Mean absolute error 0.0494 Root mean squared error 0.2223 Relative absolute error 20.1748 % Root relative squared error 63.5213 % Total Number of Instances 4100 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.891 0.028 0.841 0.891 0.865 0.931 chest 0.844 0.04 0.777 0.844 0.809 0.902 forearm 0.747 0.034 0.786 0.747 0.766 0.857 head 0.884 0.015 0.906 0.884 0.895 0.934 shin 0.896 0.026 0.854 0.896 0.874 0.935 thigh 0.693 0.033 0.776 0.693 0.732 0.83 upperarm 0.834 0.025 0.846 0.834 0.84 0.905 waist Weighted Avg. 0.827 0.029 0.827 0.827 0.826 0.899 === Confusion Matrix === a b c d e f g <-- classified as 523 6 13 7 16 16 6 | a = chest 4 492 27 2 5 25 28 | b = forearm 17 31 438 12 6 57 25 | c = head 5 7 11 518 31 7 7 | d = shin 16 14 0 13 525 5 13 | e = thigh 48 44 47 13 18 406 10 | f = upperarm 9 39 21 7 14 7 489 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 4 FOLD: 0 Correctly Classified Instances 3337 81.3704 % Incorrectly Classified Instances 764 18.6296 % Kappa statistic 0.7827 Mean absolute error 0.0532 Root mean squared error 0.2307 Relative absolute error 21.7346 % Root relative squared error 65.9311 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.894 0.025 0.855 0.894 0.874 0.935 chest 0.806 0.048 0.734 0.806 0.768 0.879 forearm 0.741 0.036 0.773 0.741 0.757 0.852 head 0.869 0.016 0.901 0.869 0.884 0.926 shin 0.903 0.029 0.84 0.903 0.87 0.937 thigh 0.683 0.033 0.777 0.683 0.727 0.825 upperarm 0.8 0.03 0.817 0.8 0.809 0.885 waist Weighted Avg. 0.814 0.031 0.814 0.814 0.813 0.891 === Confusion Matrix === a b c d e f g <-- classified as 525 9 12 6 12 16 7 | a = chest 9 469 33 11 5 25 30 | b = forearm 15 43 435 10 1 54 29 | c = head 10 6 8 509 33 12 8 | d = shin 10 14 0 8 529 4 21 | e = thigh 38 50 48 11 29 401 10 | f = upperarm 7 48 27 10 21 4 469 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3385 82.5408 % Incorrectly Classified Instances 716 17.4592 % Kappa statistic 0.7963 Mean absolute error 0.0499 Root mean squared error 0.2233 Relative absolute error 20.369 % Root relative squared error 63.8264 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.872 0.024 0.861 0.872 0.866 0.924 chest 0.842 0.04 0.778 0.842 0.809 0.901 forearm 0.797 0.038 0.776 0.797 0.786 0.879 head 0.892 0.018 0.892 0.892 0.892 0.937 shin 0.901 0.027 0.846 0.901 0.873 0.937 thigh 0.671 0.032 0.777 0.671 0.72 0.82 upperarm 0.802 0.024 0.845 0.802 0.823 0.889 waist Weighted Avg. 0.825 0.029 0.825 0.825 0.824 0.898 === Confusion Matrix === a b c d e f g <-- classified as 512 4 14 6 20 24 7 | a = chest 5 491 29 8 9 18 23 | b = forearm 13 29 467 9 4 40 24 | c = head 5 3 11 523 23 15 6 | d = shin 7 8 2 12 528 8 21 | e = thigh 42 41 64 21 20 394 5 | f = upperarm 11 55 15 7 20 8 470 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3382 82.4677 % Incorrectly Classified Instances 719 17.5323 % Kappa statistic 0.7955 Mean absolute error 0.0501 Root mean squared error 0.2238 Relative absolute error 20.4544 % Root relative squared error 63.9599 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.888 0.029 0.836 0.888 0.861 0.929 chest 0.84 0.042 0.769 0.84 0.803 0.899 forearm 0.753 0.03 0.806 0.753 0.778 0.861 head 0.884 0.017 0.896 0.884 0.89 0.933 shin 0.882 0.03 0.83 0.882 0.855 0.926 thigh 0.7 0.034 0.773 0.7 0.735 0.833 upperarm 0.826 0.022 0.863 0.826 0.844 0.902 waist Weighted Avg. 0.825 0.029 0.825 0.825 0.824 0.898 === Confusion Matrix === a b c d e f g <-- classified as 521 8 7 4 21 20 6 | a = chest 7 490 32 7 11 18 18 | b = forearm 15 41 441 6 2 57 24 | c = head 5 10 6 518 29 11 7 | d = shin 21 9 1 19 517 5 14 | e = thigh 47 37 41 16 27 411 8 | f = upperarm 7 42 19 8 16 10 484 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3373 82.2482 % Incorrectly Classified Instances 728 17.7518 % Kappa statistic 0.7929 Mean absolute error 0.0507 Root mean squared error 0.2252 Relative absolute error 20.7104 % Root relative squared error 64.359 % Total Number of Instances 4101 === 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 0.927 chest 0.832 0.041 0.771 0.832 0.8 0.895 forearm 0.744 0.04 0.756 0.744 0.75 0.852 head 0.891 0.016 0.903 0.891 0.897 0.937 shin 0.898 0.025 0.857 0.898 0.877 0.936 thigh 0.709 0.037 0.763 0.709 0.735 0.836 upperarm 0.807 0.025 0.845 0.807 0.825 0.891 waist Weighted Avg. 0.822 0.03 0.822 0.822 0.822 0.896 === Confusion Matrix === a b c d e f g <-- classified as 515 7 9 6 15 29 6 | a = chest 3 485 39 8 7 19 22 | b = forearm 18 37 436 6 7 62 20 | c = head 1 12 7 522 23 9 12 | d = shin 19 9 1 9 526 2 20 | e = thigh 36 38 64 18 8 416 7 | f = upperarm 6 41 21 9 28 8 473 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3387 82.5896 % Incorrectly Classified Instances 714 17.4104 % Kappa statistic 0.7969 Mean absolute error 0.0497 Root mean squared error 0.223 Relative absolute error 20.3121 % Root relative squared error 63.7372 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.867 0.027 0.843 0.867 0.855 0.92 chest 0.823 0.042 0.763 0.823 0.792 0.89 forearm 0.78 0.036 0.783 0.78 0.781 0.872 head 0.874 0.014 0.911 0.874 0.892 0.93 shin 0.906 0.025 0.859 0.906 0.882 0.941 thigh 0.704 0.032 0.785 0.704 0.742 0.836 upperarm 0.828 0.026 0.839 0.828 0.833 0.901 waist Weighted Avg. 0.826 0.029 0.826 0.826 0.825 0.898 === Confusion Matrix === a b c d e f g <-- classified as 509 7 10 10 12 32 7 | a = chest 11 480 35 8 14 13 22 | b = forearm 15 40 457 5 1 47 21 | c = head 11 10 6 512 24 10 13 | d = shin 17 9 1 9 531 5 14 | e = thigh 31 40 53 12 22 413 16 | f = upperarm 10 43 22 6 14 6 485 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3441 83.9064 % Incorrectly Classified Instances 660 16.0936 % Kappa statistic 0.8122 Mean absolute error 0.046 Root mean squared error 0.2144 Relative absolute error 18.7759 % Root relative squared error 61.2796 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.879 0.019 0.887 0.879 0.883 0.93 chest 0.835 0.038 0.787 0.835 0.81 0.899 forearm 0.739 0.034 0.783 0.739 0.76 0.852 head 0.923 0.016 0.905 0.923 0.914 0.953 shin 0.892 0.019 0.888 0.892 0.89 0.937 thigh 0.716 0.034 0.778 0.716 0.745 0.841 upperarm 0.889 0.028 0.84 0.889 0.864 0.93 waist Weighted Avg. 0.839 0.027 0.838 0.839 0.838 0.906 === Confusion Matrix === a b c d e f g <-- classified as 516 8 14 8 13 23 5 | a = chest 5 487 31 11 5 22 22 | b = forearm 14 33 433 10 3 57 36 | c = head 1 6 9 541 15 3 11 | d = shin 13 7 5 12 523 8 18 | e = thigh 29 47 49 13 22 420 7 | f = upperarm 4 31 12 3 8 7 521 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3353 81.7605 % Incorrectly Classified Instances 748 18.2395 % Kappa statistic 0.7872 Mean absolute error 0.0521 Root mean squared error 0.2283 Relative absolute error 21.2794 % Root relative squared error 65.2371 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.884 0.022 0.869 0.884 0.877 0.931 chest 0.806 0.043 0.758 0.806 0.781 0.882 forearm 0.754 0.035 0.781 0.754 0.767 0.859 head 0.874 0.017 0.895 0.874 0.884 0.928 shin 0.899 0.029 0.836 0.899 0.867 0.935 thigh 0.693 0.034 0.771 0.693 0.73 0.829 upperarm 0.813 0.032 0.81 0.813 0.811 0.89 waist Weighted Avg. 0.818 0.03 0.817 0.818 0.817 0.894 === Confusion Matrix === a b c d e f g <-- classified as 519 4 11 9 14 25 5 | a = chest 3 470 31 8 11 26 34 | b = forearm 18 37 442 7 4 43 35 | c = head 5 14 10 512 28 7 10 | d = shin 13 12 2 11 526 7 14 | e = thigh 32 40 50 17 27 407 14 | f = upperarm 7 43 20 8 19 13 477 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3392 82.7115 % Incorrectly Classified Instances 709 17.2885 % Kappa statistic 0.7983 Mean absolute error 0.0494 Root mean squared error 0.2223 Relative absolute error 20.1699 % Root relative squared error 63.5136 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.892 0.024 0.86 0.892 0.876 0.934 chest 0.827 0.043 0.761 0.827 0.793 0.892 forearm 0.751 0.03 0.809 0.751 0.779 0.861 head 0.891 0.017 0.898 0.891 0.895 0.937 shin 0.88 0.022 0.87 0.88 0.875 0.929 thigh 0.733 0.041 0.749 0.733 0.741 0.846 upperarm 0.816 0.025 0.843 0.816 0.829 0.895 waist Weighted Avg. 0.827 0.029 0.827 0.827 0.827 0.899 === Confusion Matrix === a b c d e f g <-- classified as 523 8 7 4 12 27 5 | a = chest 7 482 27 10 9 32 16 | b = forearm 15 31 441 9 4 59 28 | c = head 5 8 6 522 22 16 7 | d = shin 17 17 1 12 515 4 19 | e = thigh 30 41 46 14 12 430 14 | f = upperarm 11 46 17 10 18 6 479 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3346 81.5899 % Incorrectly Classified Instances 755 18.4101 % Kappa statistic 0.7852 Mean absolute error 0.0526 Root mean squared error 0.2293 Relative absolute error 21.4785 % Root relative squared error 65.5416 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.905 0.023 0.868 0.905 0.886 0.941 chest 0.784 0.049 0.725 0.784 0.753 0.867 forearm 0.772 0.037 0.776 0.772 0.774 0.867 head 0.877 0.015 0.908 0.877 0.892 0.931 shin 0.872 0.023 0.862 0.872 0.867 0.924 thigh 0.7 0.034 0.773 0.7 0.735 0.833 upperarm 0.802 0.033 0.804 0.802 0.803 0.885 waist Weighted Avg. 0.816 0.031 0.816 0.816 0.816 0.893 === Confusion Matrix === a b c d e f g <-- classified as 531 5 5 8 9 22 7 | a = chest 3 456 39 3 15 26 40 | b = forearm 13 31 453 8 4 51 27 | c = head 5 10 12 513 25 7 13 | d = shin 17 15 3 10 511 7 23 | e = thigh 36 61 43 17 14 411 5 | f = upperarm 7 51 29 6 15 8 471 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3406 83.0732 % Incorrectly Classified Instances 694 16.9268 % Kappa statistic 0.8025 Mean absolute error 0.0484 Root mean squared error 0.2199 Relative absolute error 19.748 % Root relative squared error 62.8458 % Total Number of Instances 4100 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.876 0.024 0.857 0.876 0.866 0.926 chest 0.828 0.038 0.782 0.828 0.805 0.895 forearm 0.756 0.028 0.821 0.756 0.787 0.864 head 0.892 0.015 0.91 0.892 0.901 0.939 shin 0.894 0.025 0.858 0.894 0.876 0.935 thigh 0.727 0.038 0.763 0.727 0.745 0.845 upperarm 0.841 0.03 0.823 0.841 0.832 0.906 waist Weighted Avg. 0.831 0.028 0.831 0.831 0.83 0.901 === Confusion Matrix === a b c d e f g <-- classified as 514 12 8 11 15 22 5 | a = chest 12 482 18 7 7 24 32 | b = forearm 15 26 444 8 1 63 30 | c = head 2 9 9 523 24 8 11 | d = shin 22 12 1 8 524 5 14 | e = thigh 29 47 39 9 22 426 14 | f = upperarm 6 28 22 9 18 10 493 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 5 FOLD: 0 Correctly Classified Instances 3359 81.9069 % Incorrectly Classified Instances 742 18.0931 % Kappa statistic 0.7889 Mean absolute error 0.0517 Root mean squared error 0.2274 Relative absolute error 21.1087 % Root relative squared error 64.9749 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.879 0.024 0.857 0.879 0.868 0.927 chest 0.851 0.042 0.771 0.851 0.809 0.904 forearm 0.765 0.037 0.775 0.765 0.77 0.864 head 0.881 0.021 0.876 0.881 0.878 0.93 shin 0.882 0.026 0.85 0.882 0.866 0.928 thigh 0.659 0.029 0.79 0.659 0.719 0.815 upperarm 0.817 0.032 0.81 0.817 0.814 0.893 waist Weighted Avg. 0.819 0.03 0.819 0.819 0.818 0.894 === Confusion Matrix === a b c d e f g <-- classified as 516 10 12 10 8 26 5 | a = chest 6 495 34 7 9 11 20 | b = forearm 11 32 449 6 4 50 35 | c = head 5 11 7 516 23 9 15 | d = shin 19 9 0 15 517 2 24 | e = thigh 34 43 59 25 26 387 13 | f = upperarm 11 42 18 10 21 5 479 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3408 83.1017 % Incorrectly Classified Instances 693 16.8983 % Kappa statistic 0.8029 Mean absolute error 0.0483 Root mean squared error 0.2197 Relative absolute error 19.7147 % Root relative squared error 62.7929 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.901 0.019 0.886 0.901 0.894 0.941 chest 0.796 0.041 0.763 0.796 0.779 0.877 forearm 0.763 0.035 0.783 0.763 0.773 0.864 head 0.899 0.015 0.907 0.899 0.903 0.942 shin 0.913 0.025 0.86 0.913 0.886 0.944 thigh 0.714 0.031 0.794 0.714 0.752 0.841 upperarm 0.831 0.03 0.82 0.831 0.825 0.9 waist Weighted Avg. 0.831 0.028 0.83 0.831 0.83 0.901 === Confusion Matrix === a b c d e f g <-- classified as 529 11 8 4 14 12 9 | a = chest 7 464 39 8 14 26 25 | b = forearm 12 35 447 10 2 45 35 | c = head 3 4 10 527 19 12 11 | d = shin 9 11 2 10 535 3 16 | e = thigh 32 42 46 18 19 419 11 | f = upperarm 5 41 19 4 19 11 487 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3391 82.6871 % Incorrectly Classified Instances 710 17.3129 % Kappa statistic 0.798 Mean absolute error 0.0495 Root mean squared error 0.2224 Relative absolute error 20.1983 % Root relative squared error 63.5584 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.888 0.023 0.865 0.888 0.876 0.932 chest 0.83 0.041 0.771 0.83 0.799 0.895 forearm 0.78 0.032 0.803 0.78 0.791 0.874 head 0.87 0.016 0.903 0.87 0.886 0.927 shin 0.899 0.031 0.829 0.899 0.863 0.934 thigh 0.704 0.032 0.787 0.704 0.743 0.836 upperarm 0.817 0.028 0.832 0.817 0.824 0.895 waist Weighted Avg. 0.827 0.029 0.827 0.827 0.826 0.899 === Confusion Matrix === a b c d e f g <-- classified as 521 5 8 11 10 25 7 | a = chest 9 484 26 7 14 19 24 | b = forearm 11 25 457 5 7 50 31 | c = head 4 15 7 510 34 6 10 | d = shin 17 12 2 8 527 4 16 | e = thigh 32 42 49 15 27 413 9 | f = upperarm 8 45 20 9 17 8 479 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3385 82.5408 % Incorrectly Classified Instances 716 17.4592 % Kappa statistic 0.7963 Mean absolute error 0.0499 Root mean squared error 0.2233 Relative absolute error 20.369 % Root relative squared error 63.8264 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.886 0.032 0.824 0.886 0.854 0.927 chest 0.792 0.042 0.759 0.792 0.775 0.875 forearm 0.765 0.036 0.779 0.765 0.772 0.864 head 0.904 0.018 0.894 0.904 0.899 0.943 shin 0.903 0.024 0.86 0.903 0.881 0.939 thigh 0.71 0.028 0.81 0.71 0.757 0.841 upperarm 0.817 0.024 0.851 0.817 0.834 0.897 waist Weighted Avg. 0.825 0.029 0.825 0.825 0.825 0.898 === Confusion Matrix === a b c d e f g <-- classified as 520 7 12 8 12 22 6 | a = chest 11 462 50 8 10 17 25 | b = forearm 19 38 448 9 2 46 24 | c = head 10 7 6 530 21 3 9 | d = shin 18 12 0 10 529 5 12 | e = thigh 44 39 39 20 20 417 8 | f = upperarm 9 44 20 8 21 5 479 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3380 82.4189 % Incorrectly Classified Instances 721 17.5811 % Kappa statistic 0.7949 Mean absolute error 0.0502 Root mean squared error 0.2241 Relative absolute error 20.5113 % Root relative squared error 64.0488 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.86 0.021 0.874 0.86 0.867 0.92 chest 0.83 0.039 0.778 0.83 0.803 0.895 forearm 0.741 0.036 0.772 0.741 0.756 0.852 head 0.882 0.017 0.899 0.882 0.891 0.933 shin 0.896 0.027 0.847 0.896 0.871 0.934 thigh 0.724 0.036 0.769 0.724 0.746 0.844 upperarm 0.836 0.029 0.829 0.836 0.833 0.904 waist Weighted Avg. 0.824 0.029 0.824 0.824 0.824 0.897 === Confusion Matrix === a b c d e f g <-- classified as 505 5 10 8 19 33 7 | a = chest 4 484 31 7 9 18 30 | b = forearm 19 34 434 11 5 57 26 | c = head 4 7 14 517 28 7 9 | d = shin 11 12 4 10 525 5 19 | e = thigh 29 40 51 16 16 425 10 | f = upperarm 6 40 18 6 18 8 490 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3365 82.0532 % Incorrectly Classified Instances 736 17.9468 % Kappa statistic 0.7906 Mean absolute error 0.0513 Root mean squared error 0.2264 Relative absolute error 20.938 % Root relative squared error 64.7117 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.857 0.029 0.83 0.857 0.843 0.914 chest 0.84 0.042 0.768 0.84 0.803 0.899 forearm 0.775 0.035 0.787 0.775 0.781 0.87 head 0.894 0.016 0.905 0.894 0.9 0.939 shin 0.887 0.029 0.837 0.887 0.862 0.929 thigh 0.685 0.034 0.77 0.685 0.725 0.825 upperarm 0.805 0.024 0.846 0.805 0.825 0.89 waist Weighted Avg. 0.821 0.03 0.82 0.821 0.82 0.895 === Confusion Matrix === a b c d e f g <-- classified as 503 8 14 11 22 27 2 | a = chest 7 490 28 3 13 17 25 | b = forearm 13 32 454 6 2 54 25 | c = head 5 6 9 524 27 9 6 | d = shin 15 11 0 18 520 3 19 | e = thigh 53 51 49 7 16 402 9 | f = upperarm 10 40 23 10 21 10 472 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3421 83.4187 % Incorrectly Classified Instances 680 16.5813 % Kappa statistic 0.8066 Mean absolute error 0.0474 Root mean squared error 0.2177 Relative absolute error 19.3449 % Root relative squared error 62.2011 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.877 0.024 0.86 0.877 0.868 0.927 chest 0.825 0.037 0.789 0.825 0.806 0.894 forearm 0.795 0.042 0.758 0.795 0.776 0.876 head 0.884 0.016 0.901 0.884 0.892 0.934 shin 0.91 0.024 0.861 0.91 0.885 0.943 thigh 0.709 0.03 0.8 0.709 0.752 0.84 upperarm 0.84 0.02 0.874 0.84 0.856 0.91 waist Weighted Avg. 0.834 0.028 0.835 0.834 0.834 0.903 === Confusion Matrix === a b c d e f g <-- classified as 515 7 16 8 17 21 3 | a = chest 7 481 43 8 8 14 22 | b = forearm 16 30 466 7 4 50 13 | c = head 9 8 7 518 23 10 11 | d = shin 13 7 1 12 533 4 16 | e = thigh 31 36 63 14 21 416 6 | f = upperarm 8 41 19 8 13 5 492 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3376 82.3214 % Incorrectly Classified Instances 725 17.6786 % Kappa statistic 0.7938 Mean absolute error 0.0505 Root mean squared error 0.2247 Relative absolute error 20.6251 % Root relative squared error 64.2263 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.882 0.022 0.869 0.882 0.876 0.93 chest 0.816 0.046 0.746 0.816 0.78 0.885 forearm 0.736 0.034 0.783 0.736 0.759 0.851 head 0.901 0.015 0.91 0.901 0.906 0.943 shin 0.913 0.031 0.829 0.913 0.869 0.941 thigh 0.702 0.031 0.789 0.702 0.743 0.835 upperarm 0.813 0.026 0.837 0.813 0.825 0.893 waist Weighted Avg. 0.823 0.029 0.823 0.823 0.822 0.897 === Confusion Matrix === a b c d e f g <-- classified as 517 9 15 3 22 16 4 | a = chest 7 476 25 8 9 27 31 | b = forearm 15 46 432 8 6 52 28 | c = head 5 11 6 528 22 5 9 | d = shin 12 14 2 7 534 2 14 | e = thigh 33 45 49 17 24 412 7 | f = upperarm 6 37 23 9 27 8 477 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3389 82.6384 % Incorrectly Classified Instances 712 17.3616 % Kappa statistic 0.7975 Mean absolute error 0.0496 Root mean squared error 0.2227 Relative absolute error 20.2552 % Root relative squared error 63.6479 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.901 0.022 0.87 0.901 0.885 0.939 chest 0.826 0.045 0.75 0.826 0.787 0.89 forearm 0.763 0.031 0.804 0.763 0.783 0.866 head 0.891 0.018 0.889 0.891 0.89 0.936 shin 0.891 0.026 0.85 0.891 0.87 0.932 thigh 0.664 0.033 0.771 0.664 0.714 0.816 upperarm 0.848 0.026 0.846 0.848 0.847 0.911 waist Weighted Avg. 0.826 0.029 0.826 0.826 0.825 0.899 === Confusion Matrix === a b c d e f g <-- classified as 529 4 7 7 15 23 2 | a = chest 4 481 21 14 7 29 26 | b = forearm 20 33 448 9 7 45 25 | c = head 6 3 7 522 31 7 10 | d = shin 20 11 3 9 521 6 15 | e = thigh 24 71 54 17 18 390 13 | f = upperarm 5 38 17 9 14 6 498 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3356 81.8537 % Incorrectly Classified Instances 744 18.1463 % Kappa statistic 0.7883 Mean absolute error 0.0518 Root mean squared error 0.2277 Relative absolute error 21.1708 % Root relative squared error 65.0704 % Total Number of Instances 4100 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.905 0.026 0.852 0.905 0.878 0.939 chest 0.802 0.045 0.746 0.802 0.773 0.879 forearm 0.751 0.036 0.778 0.751 0.764 0.858 head 0.887 0.017 0.898 0.887 0.893 0.935 shin 0.86 0.022 0.867 0.86 0.864 0.919 thigh 0.71 0.032 0.785 0.71 0.746 0.839 upperarm 0.814 0.033 0.803 0.814 0.809 0.891 waist Weighted Avg. 0.819 0.03 0.819 0.819 0.818 0.894 === Confusion Matrix === a b c d e f g <-- classified as 531 11 3 6 11 16 9 | a = chest 7 467 35 10 7 22 34 | b = forearm 12 39 441 12 2 54 27 | c = head 5 9 10 519 21 12 9 | d = shin 24 12 2 13 504 4 27 | e = thigh 39 36 50 13 21 416 11 | f = upperarm 5 52 26 5 15 6 478 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 6 FOLD: 0 Correctly Classified Instances 3385 82.5408 % Incorrectly Classified Instances 716 17.4592 % Kappa statistic 0.7963 Mean absolute error 0.0499 Root mean squared error 0.2233 Relative absolute error 20.369 % Root relative squared error 63.8264 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.884 0.03 0.829 0.884 0.856 0.927 chest 0.823 0.043 0.759 0.823 0.79 0.89 forearm 0.75 0.025 0.833 0.75 0.789 0.862 head 0.884 0.021 0.876 0.884 0.88 0.932 shin 0.892 0.022 0.87 0.892 0.881 0.935 thigh 0.698 0.032 0.782 0.698 0.738 0.833 upperarm 0.847 0.03 0.827 0.847 0.837 0.909 waist Weighted Avg. 0.825 0.029 0.825 0.825 0.824 0.898 === Confusion Matrix === a b c d e f g <-- classified as 519 8 7 5 15 25 8 | a = chest 9 479 27 11 11 21 24 | b = forearm 22 34 440 10 2 53 26 | c = head 9 12 4 518 22 8 13 | d = shin 13 13 0 13 522 2 22 | e = thigh 45 45 37 21 18 410 11 | f = upperarm 9 40 13 13 10 5 497 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3364 82.0288 % Incorrectly Classified Instances 737 17.9712 % Kappa statistic 0.7903 Mean absolute error 0.0513 Root mean squared error 0.2266 Relative absolute error 20.9664 % Root relative squared error 64.7556 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.899 0.024 0.86 0.899 0.879 0.938 chest 0.804 0.039 0.773 0.804 0.788 0.883 forearm 0.753 0.035 0.781 0.753 0.766 0.859 head 0.898 0.017 0.901 0.898 0.899 0.941 shin 0.896 0.028 0.84 0.896 0.867 0.934 thigh 0.678 0.033 0.773 0.678 0.722 0.822 upperarm 0.814 0.032 0.807 0.814 0.811 0.891 waist Weighted Avg. 0.82 0.03 0.819 0.82 0.819 0.895 === Confusion Matrix === a b c d e f g <-- classified as 528 5 13 6 9 21 5 | a = chest 7 469 28 6 12 26 35 | b = forearm 15 29 441 10 5 53 33 | c = head 5 7 5 526 31 3 9 | d = shin 16 7 1 7 525 5 25 | e = thigh 37 46 54 18 27 398 7 | f = upperarm 6 44 23 11 16 9 477 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3409 83.1261 % Incorrectly Classified Instances 692 16.8739 % Kappa statistic 0.8031 Mean absolute error 0.0482 Root mean squared error 0.2196 Relative absolute error 19.6863 % Root relative squared error 62.7475 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.893 0.023 0.866 0.893 0.879 0.935 chest 0.823 0.042 0.767 0.823 0.794 0.891 forearm 0.776 0.036 0.783 0.776 0.78 0.87 head 0.894 0.016 0.902 0.894 0.898 0.939 shin 0.894 0.021 0.875 0.894 0.884 0.936 thigh 0.697 0.029 0.799 0.697 0.744 0.834 upperarm 0.841 0.03 0.826 0.841 0.833 0.906 waist Weighted Avg. 0.831 0.028 0.831 0.831 0.83 0.902 === Confusion Matrix === a b c d e f g <-- classified as 524 8 5 6 11 27 6 | a = chest 4 480 40 9 11 18 21 | b = forearm 13 33 455 6 2 37 40 | c = head 5 11 8 524 22 7 9 | d = shin 16 12 0 14 524 5 15 | e = thigh 36 44 58 15 12 409 13 | f = upperarm 7 38 15 7 17 9 493 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3392 82.7115 % Incorrectly Classified Instances 709 17.2885 % Kappa statistic 0.7983 Mean absolute error 0.0494 Root mean squared error 0.2223 Relative absolute error 20.1699 % Root relative squared error 63.5136 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.874 0.025 0.855 0.874 0.864 0.925 chest 0.83 0.04 0.777 0.83 0.803 0.895 forearm 0.747 0.029 0.81 0.747 0.777 0.859 head 0.874 0.016 0.9 0.874 0.887 0.929 shin 0.884 0.027 0.845 0.884 0.864 0.928 thigh 0.717 0.034 0.777 0.717 0.746 0.841 upperarm 0.863 0.03 0.825 0.863 0.844 0.917 waist Weighted Avg. 0.827 0.029 0.827 0.827 0.826 0.899 === Confusion Matrix === a b c d e f g <-- classified as 513 9 11 10 20 19 5 | a = chest 8 484 26 10 10 14 31 | b = forearm 18 35 438 7 1 65 22 | c = head 2 7 11 512 26 12 16 | d = shin 18 10 0 14 518 3 23 | e = thigh 33 40 48 13 22 421 10 | f = upperarm 8 38 7 3 16 8 506 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3387 82.5896 % Incorrectly Classified Instances 714 17.4104 % Kappa statistic 0.7969 Mean absolute error 0.0497 Root mean squared error 0.223 Relative absolute error 20.3121 % Root relative squared error 63.7372 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.881 0.025 0.856 0.881 0.868 0.928 chest 0.825 0.04 0.775 0.825 0.799 0.893 forearm 0.742 0.034 0.785 0.742 0.763 0.854 head 0.903 0.016 0.903 0.903 0.903 0.943 shin 0.886 0.029 0.837 0.886 0.861 0.928 thigh 0.724 0.032 0.793 0.724 0.757 0.846 upperarm 0.821 0.028 0.829 0.821 0.825 0.896 waist Weighted Avg. 0.826 0.029 0.825 0.826 0.825 0.898 === Confusion Matrix === a b c d e f g <-- classified as 517 7 14 6 10 25 8 | a = chest 7 481 28 10 12 20 25 | b = forearm 15 41 435 11 5 48 31 | c = head 6 3 11 529 20 9 8 | d = shin 16 10 4 11 519 5 21 | e = thigh 33 36 43 12 32 425 6 | f = upperarm 10 43 19 7 22 4 481 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3359 81.9069 % Incorrectly Classified Instances 742 18.0931 % Kappa statistic 0.7889 Mean absolute error 0.0517 Root mean squared error 0.2274 Relative absolute error 21.1087 % Root relative squared error 64.9749 % Total Number of Instances 4101 === 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 0.934 chest 0.839 0.048 0.744 0.839 0.789 0.896 forearm 0.746 0.034 0.787 0.746 0.766 0.856 head 0.86 0.016 0.902 0.86 0.88 0.922 shin 0.877 0.025 0.854 0.877 0.865 0.926 thigh 0.707 0.032 0.784 0.707 0.744 0.837 upperarm 0.809 0.029 0.821 0.809 0.815 0.89 waist Weighted Avg. 0.819 0.03 0.82 0.819 0.818 0.894 === Confusion Matrix === a b c d e f g <-- classified as 526 12 7 6 11 22 3 | a = chest 3 489 30 2 10 21 28 | b = forearm 19 36 437 10 4 49 31 | c = head 11 12 6 504 26 16 11 | d = shin 19 18 3 12 514 2 18 | e = thigh 37 51 47 13 12 415 12 | f = upperarm 7 39 25 12 25 4 474 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3376 82.3214 % Incorrectly Classified Instances 725 17.6786 % Kappa statistic 0.7938 Mean absolute error 0.0505 Root mean squared error 0.2247 Relative absolute error 20.6251 % Root relative squared error 64.2263 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.896 0.029 0.839 0.896 0.867 0.934 chest 0.806 0.047 0.741 0.806 0.772 0.88 forearm 0.766 0.034 0.788 0.766 0.777 0.866 head 0.887 0.014 0.912 0.887 0.9 0.937 shin 0.911 0.024 0.865 0.911 0.888 0.944 thigh 0.688 0.031 0.786 0.688 0.734 0.828 upperarm 0.807 0.027 0.831 0.807 0.819 0.89 waist Weighted Avg. 0.823 0.029 0.823 0.823 0.822 0.897 === Confusion Matrix === a b c d e f g <-- classified as 526 4 11 6 16 17 7 | a = chest 13 470 36 4 4 27 29 | b = forearm 17 41 449 5 3 41 30 | c = head 7 7 7 520 21 11 13 | d = shin 15 13 1 9 534 5 9 | e = thigh 41 52 46 17 19 404 8 | f = upperarm 8 47 20 9 20 9 473 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3396 82.8091 % Incorrectly Classified Instances 705 17.1909 % Kappa statistic 0.7994 Mean absolute error 0.0491 Root mean squared error 0.2216 Relative absolute error 20.0561 % Root relative squared error 63.3342 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.86 0.024 0.856 0.86 0.858 0.918 chest 0.84 0.042 0.768 0.84 0.803 0.899 forearm 0.773 0.033 0.796 0.773 0.785 0.87 head 0.896 0.017 0.899 0.896 0.897 0.94 shin 0.904 0.025 0.856 0.904 0.88 0.94 thigh 0.712 0.035 0.771 0.712 0.74 0.838 upperarm 0.811 0.024 0.85 0.811 0.83 0.893 waist Weighted Avg. 0.828 0.029 0.828 0.828 0.827 0.9 === Confusion Matrix === a b c d e f g <-- classified as 505 8 15 9 18 29 3 | a = chest 4 490 24 5 7 23 30 | b = forearm 16 41 454 8 2 44 22 | c = head 6 6 6 525 25 8 10 | d = shin 15 10 2 11 530 6 12 | e = thigh 36 41 50 19 16 417 7 | f = upperarm 8 42 19 7 21 14 475 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3366 82.0775 % Incorrectly Classified Instances 735 17.9225 % Kappa statistic 0.7909 Mean absolute error 0.0512 Root mean squared error 0.2263 Relative absolute error 20.9096 % Root relative squared error 64.6677 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.884 0.024 0.862 0.884 0.873 0.93 chest 0.837 0.047 0.747 0.837 0.789 0.895 forearm 0.744 0.033 0.79 0.744 0.767 0.856 head 0.887 0.02 0.88 0.887 0.883 0.933 shin 0.898 0.029 0.839 0.898 0.867 0.934 thigh 0.685 0.031 0.785 0.685 0.732 0.827 upperarm 0.811 0.025 0.842 0.811 0.826 0.893 waist Weighted Avg. 0.821 0.03 0.821 0.821 0.82 0.895 === Confusion Matrix === a b c d e f g <-- classified as 519 11 7 11 17 16 6 | a = chest 7 487 23 16 6 17 26 | b = forearm 12 36 437 9 4 64 25 | c = head 4 13 13 519 25 5 6 | d = shin 17 7 2 12 526 4 18 | e = thigh 34 55 48 14 26 402 8 | f = upperarm 9 43 23 9 23 4 476 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3382 82.4878 % Incorrectly Classified Instances 718 17.5122 % Kappa statistic 0.7957 Mean absolute error 0.05 Root mean squared error 0.2237 Relative absolute error 20.4309 % Root relative squared error 63.9233 % Total Number of Instances 4100 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.892 0.023 0.864 0.892 0.878 0.935 chest 0.816 0.045 0.752 0.816 0.783 0.886 forearm 0.763 0.036 0.782 0.763 0.772 0.864 head 0.887 0.012 0.927 0.887 0.907 0.938 shin 0.892 0.024 0.861 0.892 0.877 0.934 thigh 0.693 0.034 0.775 0.693 0.732 0.83 upperarm 0.83 0.032 0.814 0.83 0.822 0.899 waist Weighted Avg. 0.825 0.029 0.825 0.825 0.824 0.898 === Confusion Matrix === a b c d e f g <-- classified as 523 7 9 7 11 20 9 | a = chest 9 475 29 9 12 25 23 | b = forearm 13 34 448 7 0 60 25 | c = head 4 9 8 520 26 7 12 | d = shin 19 13 1 4 522 3 23 | e = thigh 31 47 54 10 19 407 19 | f = upperarm 6 47 24 4 16 3 487 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 7 FOLD: 0 Correctly Classified Instances 3353 81.7605 % Incorrectly Classified Instances 748 18.2395 % Kappa statistic 0.7872 Mean absolute error 0.0521 Root mean squared error 0.2283 Relative absolute error 21.2794 % Root relative squared error 65.2371 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.896 0.026 0.851 0.896 0.873 0.935 chest 0.816 0.048 0.739 0.816 0.776 0.884 forearm 0.744 0.031 0.799 0.744 0.77 0.856 head 0.86 0.015 0.905 0.86 0.882 0.922 shin 0.877 0.028 0.841 0.877 0.859 0.925 thigh 0.702 0.034 0.776 0.702 0.737 0.834 upperarm 0.828 0.031 0.817 0.828 0.822 0.898 waist Weighted Avg. 0.818 0.03 0.818 0.818 0.817 0.894 === Confusion Matrix === a b c d e f g <-- classified as 526 8 10 5 11 21 6 | a = chest 5 476 24 9 12 22 35 | b = forearm 16 41 436 9 5 58 21 | c = head 5 12 9 504 35 10 11 | d = shin 16 12 1 10 513 4 29 | e = thigh 44 45 51 10 18 412 7 | f = upperarm 6 50 15 10 16 4 486 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3431 83.6625 % Incorrectly Classified Instances 670 16.3375 % Kappa statistic 0.8094 Mean absolute error 0.0467 Root mean squared error 0.2161 Relative absolute error 19.0604 % Root relative squared error 61.742 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.891 0.022 0.869 0.891 0.88 0.934 chest 0.825 0.036 0.792 0.825 0.808 0.895 forearm 0.773 0.031 0.805 0.773 0.789 0.871 head 0.904 0.016 0.903 0.904 0.904 0.944 shin 0.881 0.025 0.856 0.881 0.868 0.928 thigh 0.753 0.031 0.802 0.753 0.776 0.861 upperarm 0.83 0.029 0.827 0.83 0.828 0.9 waist Weighted Avg. 0.837 0.027 0.836 0.837 0.836 0.905 === Confusion Matrix === a b c d e f g <-- classified as 523 5 18 8 11 13 9 | a = chest 5 481 33 5 9 25 25 | b = forearm 7 41 453 9 1 49 26 | c = head 3 7 6 530 25 10 5 | d = shin 21 9 3 10 516 4 23 | e = thigh 36 30 31 15 19 441 14 | f = upperarm 7 34 19 10 22 8 487 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3405 83.0285 % Incorrectly Classified Instances 696 16.9715 % Kappa statistic 0.802 Mean absolute error 0.0485 Root mean squared error 0.2202 Relative absolute error 19.8001 % Root relative squared error 62.9286 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.889 0.022 0.871 0.889 0.88 0.934 chest 0.827 0.045 0.751 0.827 0.787 0.891 forearm 0.768 0.033 0.795 0.768 0.781 0.867 head 0.874 0.016 0.903 0.874 0.888 0.929 shin 0.915 0.019 0.887 0.915 0.901 0.948 thigh 0.7 0.033 0.781 0.7 0.739 0.834 upperarm 0.84 0.03 0.824 0.84 0.832 0.905 waist Weighted Avg. 0.83 0.028 0.831 0.83 0.83 0.901 === Confusion Matrix === a b c d e f g <-- classified as 521 5 13 5 7 29 6 | a = chest 6 482 32 4 7 24 28 | b = forearm 12 45 450 6 2 41 30 | c = head 10 7 11 512 21 13 12 | d = shin 8 13 0 8 536 2 19 | e = thigh 35 47 44 22 18 411 10 | f = upperarm 6 43 16 10 13 6 493 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3393 82.7359 % Incorrectly Classified Instances 708 17.2641 % Kappa statistic 0.7986 Mean absolute error 0.0493 Root mean squared error 0.2221 Relative absolute error 20.1414 % Root relative squared error 63.4688 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.881 0.02 0.879 0.881 0.88 0.93 chest 0.823 0.044 0.756 0.823 0.788 0.89 forearm 0.785 0.039 0.772 0.785 0.779 0.873 head 0.897 0.018 0.894 0.897 0.896 0.94 shin 0.889 0.025 0.856 0.889 0.872 0.932 thigh 0.71 0.029 0.803 0.71 0.754 0.841 upperarm 0.805 0.027 0.834 0.805 0.819 0.889 waist Weighted Avg. 0.827 0.029 0.828 0.827 0.827 0.899 === Confusion Matrix === a b c d e f g <-- classified as 517 9 10 8 16 18 9 | a = chest 11 480 22 10 11 24 25 | b = forearm 13 36 461 8 5 45 19 | c = head 2 6 14 525 21 4 13 | d = shin 14 9 4 10 521 7 21 | e = thigh 20 49 60 17 17 417 7 | f = upperarm 11 46 26 9 18 4 472 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3341 81.4679 % Incorrectly Classified Instances 760 18.5321 % Kappa statistic 0.7838 Mean absolute error 0.0529 Root mean squared error 0.2301 Relative absolute error 21.6208 % Root relative squared error 65.7583 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.862 0.03 0.83 0.862 0.845 0.916 chest 0.83 0.042 0.767 0.83 0.797 0.894 forearm 0.748 0.04 0.756 0.748 0.752 0.854 head 0.867 0.013 0.92 0.867 0.893 0.927 shin 0.889 0.027 0.844 0.889 0.866 0.931 thigh 0.673 0.034 0.766 0.673 0.716 0.819 upperarm 0.834 0.03 0.822 0.834 0.828 0.902 waist Weighted Avg. 0.815 0.031 0.815 0.815 0.814 0.892 === Confusion Matrix === a b c d e f g <-- classified as 506 9 14 11 11 28 8 | a = chest 5 483 33 3 13 21 24 | b = forearm 20 30 439 10 3 55 30 | c = head 7 9 8 508 29 8 17 | d = shin 24 17 3 7 521 1 13 | e = thigh 41 46 61 10 20 395 14 | f = upperarm 7 36 23 3 20 8 489 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3391 82.6871 % Incorrectly Classified Instances 710 17.3129 % Kappa statistic 0.798 Mean absolute error 0.0495 Root mean squared error 0.2224 Relative absolute error 20.1983 % Root relative squared error 63.5584 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.867 0.022 0.866 0.867 0.866 0.922 chest 0.818 0.04 0.773 0.818 0.795 0.889 forearm 0.761 0.035 0.786 0.761 0.773 0.863 head 0.891 0.014 0.916 0.891 0.903 0.939 shin 0.896 0.026 0.854 0.896 0.874 0.935 thigh 0.717 0.032 0.791 0.717 0.752 0.843 upperarm 0.838 0.034 0.804 0.838 0.82 0.902 waist Weighted Avg. 0.827 0.029 0.827 0.827 0.826 0.899 === Confusion Matrix === a b c d e f g <-- classified as 509 9 9 7 21 28 4 | a = chest 7 476 30 8 12 17 32 | b = forearm 16 32 447 7 3 44 38 | c = head 3 10 5 522 20 12 14 | d = shin 16 14 2 9 525 1 19 | e = thigh 29 36 59 11 18 421 13 | f = upperarm 8 39 17 6 16 9 491 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3388 82.614 % Incorrectly Classified Instances 713 17.386 % Kappa statistic 0.7972 Mean absolute error 0.0497 Root mean squared error 0.2229 Relative absolute error 20.2837 % Root relative squared error 63.6925 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.899 0.028 0.845 0.899 0.871 0.936 chest 0.835 0.04 0.774 0.835 0.803 0.897 forearm 0.77 0.032 0.801 0.77 0.785 0.869 head 0.875 0.014 0.911 0.875 0.893 0.931 shin 0.874 0.027 0.845 0.874 0.859 0.923 thigh 0.702 0.031 0.789 0.702 0.743 0.835 upperarm 0.828 0.031 0.818 0.828 0.823 0.898 waist Weighted Avg. 0.826 0.029 0.826 0.826 0.825 0.899 === Confusion Matrix === a b c d e f g <-- classified as 528 8 6 6 18 18 3 | a = chest 5 486 35 7 8 14 27 | b = forearm 21 24 452 6 1 52 31 | c = head 5 6 7 513 30 9 16 | d = shin 15 14 2 13 512 7 23 | e = thigh 41 47 46 14 19 412 8 | f = upperarm 10 43 16 4 18 10 485 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3353 81.7605 % Incorrectly Classified Instances 748 18.2395 % Kappa statistic 0.7872 Mean absolute error 0.0521 Root mean squared error 0.2283 Relative absolute error 21.2794 % Root relative squared error 65.2371 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.891 0.022 0.869 0.891 0.88 0.934 chest 0.825 0.044 0.755 0.825 0.789 0.89 forearm 0.742 0.036 0.773 0.742 0.757 0.853 head 0.887 0.018 0.892 0.887 0.89 0.935 shin 0.915 0.029 0.84 0.915 0.876 0.943 thigh 0.652 0.033 0.766 0.652 0.705 0.81 upperarm 0.811 0.029 0.822 0.811 0.816 0.891 waist Weighted Avg. 0.818 0.03 0.817 0.818 0.816 0.894 === Confusion Matrix === a b c d e f g <-- classified as 523 7 9 9 17 18 4 | a = chest 3 481 27 11 9 21 31 | b = forearm 16 35 435 4 4 62 30 | c = head 7 9 8 520 26 10 6 | d = shin 10 9 1 12 536 0 18 | e = thigh 39 51 57 16 27 383 14 | f = upperarm 4 45 26 11 19 6 475 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3404 83.0041 % Incorrectly Classified Instances 697 16.9959 % Kappa statistic 0.8017 Mean absolute error 0.0486 Root mean squared error 0.2204 Relative absolute error 19.8285 % Root relative squared error 62.9738 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.889 0.024 0.86 0.889 0.874 0.933 chest 0.832 0.04 0.776 0.832 0.803 0.896 forearm 0.742 0.035 0.78 0.742 0.76 0.854 head 0.886 0.017 0.896 0.886 0.891 0.934 shin 0.91 0.026 0.854 0.91 0.881 0.942 thigh 0.697 0.03 0.796 0.697 0.743 0.833 upperarm 0.855 0.026 0.843 0.855 0.849 0.914 waist Weighted Avg. 0.83 0.028 0.829 0.83 0.829 0.901 === Confusion Matrix === a b c d e f g <-- classified as 522 6 11 9 9 25 5 | a = chest 9 485 37 8 12 13 19 | b = forearm 17 33 435 8 1 52 40 | c = head 9 13 7 519 24 6 8 | d = shin 11 12 2 9 533 6 13 | e = thigh 34 35 53 20 28 409 8 | f = upperarm 5 41 13 6 17 3 501 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3370 82.1951 % Incorrectly Classified Instances 730 17.8049 % Kappa statistic 0.7923 Mean absolute error 0.0509 Root mean squared error 0.2255 Relative absolute error 20.7724 % Root relative squared error 64.4552 % Total Number of Instances 4100 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.874 0.024 0.861 0.874 0.867 0.925 chest 0.822 0.045 0.751 0.822 0.785 0.888 forearm 0.765 0.037 0.776 0.765 0.77 0.864 head 0.906 0.016 0.906 0.906 0.906 0.945 shin 0.884 0.023 0.865 0.884 0.874 0.93 thigh 0.697 0.034 0.775 0.697 0.734 0.831 upperarm 0.807 0.03 0.82 0.807 0.813 0.889 waist Weighted Avg. 0.822 0.03 0.822 0.822 0.821 0.896 === Confusion Matrix === a b c d e f g <-- classified as 513 13 7 6 15 23 10 | a = chest 12 479 34 9 7 18 24 | b = forearm 12 30 448 10 4 53 29 | c = head 2 11 9 531 18 7 8 | d = shin 17 12 2 14 517 7 16 | e = thigh 30 46 53 14 18 409 17 | f = upperarm 10 47 24 2 19 11 473 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 8 FOLD: 0 Correctly Classified Instances 3407 83.0773 % Incorrectly Classified Instances 694 16.9227 % Kappa statistic 0.8026 Mean absolute error 0.0484 Root mean squared error 0.2199 Relative absolute error 19.7432 % Root relative squared error 62.8382 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.888 0.029 0.836 0.888 0.861 0.929 chest 0.844 0.044 0.76 0.844 0.8 0.9 forearm 0.78 0.029 0.819 0.78 0.799 0.876 head 0.894 0.016 0.902 0.894 0.898 0.939 shin 0.881 0.026 0.851 0.881 0.866 0.927 thigh 0.702 0.029 0.802 0.702 0.748 0.836 upperarm 0.828 0.025 0.848 0.828 0.838 0.901 waist Weighted Avg. 0.831 0.028 0.831 0.831 0.83 0.901 === Confusion Matrix === a b c d e f g <-- classified as 521 9 11 5 12 22 7 | a = chest 9 492 29 9 6 17 21 | b = forearm 17 35 457 10 1 45 21 | c = head 4 9 4 524 28 5 12 | d = shin 23 14 3 6 516 7 17 | e = thigh 43 43 37 19 24 412 9 | f = upperarm 6 45 17 8 19 6 485 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3356 81.8337 % Incorrectly Classified Instances 745 18.1663 % Kappa statistic 0.7881 Mean absolute error 0.0519 Root mean squared error 0.2278 Relative absolute error 21.194 % Root relative squared error 65.1061 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.891 0.033 0.82 0.891 0.854 0.929 chest 0.815 0.04 0.774 0.815 0.794 0.888 forearm 0.77 0.035 0.787 0.77 0.778 0.867 head 0.881 0.016 0.901 0.881 0.89 0.932 shin 0.887 0.03 0.832 0.887 0.859 0.929 thigh 0.661 0.036 0.756 0.661 0.705 0.813 upperarm 0.824 0.023 0.855 0.824 0.839 0.9 waist Weighted Avg. 0.818 0.03 0.818 0.818 0.817 0.894 === Confusion Matrix === a b c d e f g <-- classified as 523 4 7 8 11 25 9 | a = chest 8 475 31 11 9 23 26 | b = forearm 17 35 451 7 4 51 21 | c = head 10 9 5 516 28 11 7 | d = shin 22 10 1 13 520 5 15 | e = thigh 53 41 58 15 28 388 4 | f = upperarm 5 40 20 3 25 10 483 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3378 82.3702 % Incorrectly Classified Instances 723 17.6298 % Kappa statistic 0.7943 Mean absolute error 0.0504 Root mean squared error 0.2244 Relative absolute error 20.5682 % Root relative squared error 64.1376 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.891 0.022 0.869 0.891 0.88 0.934 chest 0.825 0.038 0.783 0.825 0.804 0.894 forearm 0.766 0.034 0.788 0.766 0.777 0.866 head 0.886 0.02 0.878 0.886 0.882 0.933 shin 0.882 0.027 0.843 0.882 0.862 0.927 thigh 0.7 0.033 0.78 0.7 0.738 0.834 upperarm 0.816 0.03 0.818 0.816 0.817 0.893 waist Weighted Avg. 0.824 0.029 0.823 0.824 0.823 0.897 === Confusion Matrix === a b c d e f g <-- classified as 523 5 14 6 15 21 3 | a = chest 7 481 30 7 7 20 31 | b = forearm 9 34 449 9 3 54 28 | c = head 6 12 7 519 24 8 10 | d = shin 12 13 1 11 517 8 24 | e = thigh 38 33 48 24 23 411 10 | f = upperarm 7 36 21 15 24 5 478 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3416 83.2968 % Incorrectly Classified Instances 685 16.7032 % Kappa statistic 0.8051 Mean absolute error 0.0477 Root mean squared error 0.2185 Relative absolute error 19.4871 % Root relative squared error 62.4294 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.889 0.022 0.87 0.889 0.88 0.934 chest 0.828 0.039 0.778 0.828 0.802 0.895 forearm 0.756 0.035 0.783 0.756 0.769 0.86 head 0.891 0.014 0.916 0.891 0.903 0.939 shin 0.901 0.026 0.85 0.901 0.875 0.937 thigh 0.721 0.032 0.788 0.721 0.753 0.844 upperarm 0.845 0.026 0.845 0.845 0.845 0.909 waist Weighted Avg. 0.833 0.028 0.833 0.833 0.832 0.903 === Confusion Matrix === a b c d e f g <-- classified as 522 8 8 9 13 24 3 | a = chest 4 483 35 5 12 23 21 | b = forearm 23 35 443 4 4 47 30 | c = head 5 10 8 522 25 7 9 | d = shin 15 11 1 9 528 4 18 | e = thigh 25 41 50 18 20 423 10 | f = upperarm 6 33 21 3 19 9 495 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3395 82.7847 % Incorrectly Classified Instances 706 17.2153 % Kappa statistic 0.7992 Mean absolute error 0.0492 Root mean squared error 0.2218 Relative absolute error 20.0845 % Root relative squared error 63.3791 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.889 0.027 0.847 0.889 0.868 0.931 chest 0.828 0.045 0.754 0.828 0.789 0.892 forearm 0.746 0.03 0.805 0.746 0.774 0.858 head 0.901 0.017 0.896 0.901 0.899 0.942 shin 0.901 0.026 0.85 0.901 0.875 0.937 thigh 0.719 0.03 0.799 0.719 0.757 0.844 upperarm 0.811 0.025 0.844 0.811 0.827 0.893 waist Weighted Avg. 0.828 0.029 0.828 0.828 0.827 0.9 === Confusion Matrix === a b c d e f g <-- classified as 522 6 10 5 17 22 5 | a = chest 12 483 26 9 13 19 21 | b = forearm 19 44 437 9 1 52 24 | c = head 4 7 9 528 20 6 12 | d = shin 16 10 3 7 528 5 17 | e = thigh 29 47 39 18 23 422 9 | f = upperarm 14 44 19 13 19 2 475 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3344 81.5411 % Incorrectly Classified Instances 757 18.4589 % Kappa statistic 0.7846 Mean absolute error 0.0527 Root mean squared error 0.2297 Relative absolute error 21.5354 % Root relative squared error 65.6284 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.879 0.024 0.857 0.879 0.868 0.927 chest 0.794 0.042 0.757 0.794 0.775 0.876 forearm 0.744 0.037 0.769 0.744 0.756 0.853 head 0.894 0.015 0.91 0.894 0.902 0.94 shin 0.898 0.026 0.85 0.898 0.873 0.936 thigh 0.69 0.042 0.735 0.69 0.712 0.824 upperarm 0.809 0.028 0.826 0.809 0.817 0.89 waist Weighted Avg. 0.815 0.031 0.815 0.815 0.815 0.892 === Confusion Matrix === a b c d e f g <-- classified as 516 6 10 3 16 30 6 | a = chest 4 463 40 6 11 35 24 | b = forearm 14 29 436 6 4 65 32 | c = head 7 9 6 524 24 5 11 | d = shin 14 10 0 18 526 1 17 | e = thigh 37 49 50 12 24 405 10 | f = upperarm 10 46 25 7 14 10 474 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3331 81.2241 % Incorrectly Classified Instances 770 18.7759 % Kappa statistic 0.781 Mean absolute error 0.0536 Root mean squared error 0.2316 Relative absolute error 21.9052 % Root relative squared error 66.1895 % Total Number of Instances 4101 === 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 0.923 chest 0.83 0.044 0.758 0.83 0.792 0.893 forearm 0.714 0.041 0.746 0.714 0.729 0.837 head 0.875 0.017 0.898 0.875 0.887 0.929 shin 0.904 0.031 0.829 0.904 0.865 0.937 thigh 0.698 0.038 0.753 0.698 0.725 0.83 upperarm 0.794 0.025 0.841 0.794 0.817 0.884 waist Weighted Avg. 0.812 0.031 0.812 0.812 0.811 0.89 === Confusion Matrix === a b c d e f g <-- classified as 511 9 14 6 21 21 5 | a = chest 6 483 33 6 12 23 19 | b = forearm 20 31 419 15 4 69 29 | c = head 8 9 12 513 28 9 7 | d = shin 12 9 1 11 530 4 19 | e = thigh 31 45 56 15 21 409 9 | f = upperarm 7 51 27 5 23 8 466 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3419 83.3699 % Incorrectly Classified Instances 682 16.6301 % Kappa statistic 0.806 Mean absolute error 0.0475 Root mean squared error 0.218 Relative absolute error 19.4018 % Root relative squared error 62.2925 % Total Number of Instances 4101 === 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 0.927 chest 0.852 0.039 0.784 0.852 0.816 0.907 forearm 0.775 0.031 0.805 0.775 0.79 0.872 head 0.867 0.013 0.917 0.867 0.891 0.927 shin 0.894 0.025 0.856 0.894 0.875 0.934 thigh 0.733 0.033 0.786 0.733 0.758 0.85 upperarm 0.836 0.028 0.832 0.836 0.834 0.904 waist Weighted Avg. 0.834 0.028 0.834 0.834 0.833 0.903 === Confusion Matrix === a b c d e f g <-- classified as 516 9 9 9 15 22 7 | a = chest 7 496 24 6 8 20 21 | b = forearm 12 32 455 9 5 47 27 | c = head 3 7 14 508 27 15 12 | d = shin 17 9 2 9 523 4 21 | e = thigh 36 43 42 7 18 430 11 | f = upperarm 10 37 19 6 15 9 491 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3390 82.6628 % Incorrectly Classified Instances 711 17.3372 % Kappa statistic 0.7977 Mean absolute error 0.0495 Root mean squared error 0.2226 Relative absolute error 20.2268 % Root relative squared error 63.6031 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.894 0.025 0.856 0.894 0.875 0.935 chest 0.801 0.039 0.77 0.801 0.785 0.881 forearm 0.773 0.033 0.795 0.773 0.784 0.87 head 0.879 0.014 0.912 0.879 0.895 0.932 shin 0.909 0.03 0.836 0.909 0.871 0.94 thigh 0.71 0.033 0.784 0.71 0.745 0.839 upperarm 0.819 0.028 0.831 0.819 0.825 0.896 waist Weighted Avg. 0.827 0.029 0.826 0.827 0.826 0.899 === Confusion Matrix === a b c d e f g <-- classified as 525 4 7 4 20 19 8 | a = chest 10 466 31 11 11 19 34 | b = forearm 12 28 454 6 6 57 24 | c = head 5 6 7 515 35 6 12 | d = shin 17 9 2 7 532 7 11 | e = thigh 40 42 53 12 14 417 9 | f = upperarm 4 50 17 10 18 7 481 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3376 82.3415 % Incorrectly Classified Instances 724 17.6585 % Kappa statistic 0.794 Mean absolute error 0.0505 Root mean squared error 0.2246 Relative absolute error 20.6016 % Root relative squared error 64.1898 % Total Number of Instances 4100 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.889 0.025 0.857 0.889 0.873 0.932 chest 0.811 0.046 0.745 0.811 0.777 0.883 forearm 0.775 0.037 0.779 0.775 0.777 0.869 head 0.868 0.011 0.93 0.868 0.898 0.929 shin 0.896 0.025 0.858 0.896 0.876 0.936 thigh 0.681 0.035 0.766 0.681 0.721 0.823 upperarm 0.843 0.028 0.833 0.843 0.838 0.907 waist Weighted Avg. 0.823 0.029 0.824 0.823 0.823 0.897 === Confusion Matrix === a b c d e f g <-- classified as 521 7 11 6 12 27 2 | a = chest 10 473 29 3 12 23 33 | b = forearm 14 39 455 5 2 45 27 | c = head 9 8 10 508 31 13 6 | d = shin 17 14 1 9 525 3 17 | e = thigh 31 54 60 10 18 400 14 | f = upperarm 6 40 18 5 12 11 494 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 9 FOLD: 0 Correctly Classified Instances 3400 82.9066 % Incorrectly Classified Instances 701 17.0934 % Kappa statistic 0.8006 Mean absolute error 0.0488 Root mean squared error 0.221 Relative absolute error 19.9423 % Root relative squared error 63.1543 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.886 0.023 0.864 0.886 0.875 0.931 chest 0.825 0.04 0.776 0.825 0.8 0.893 forearm 0.785 0.036 0.786 0.785 0.786 0.875 head 0.891 0.015 0.908 0.891 0.899 0.938 shin 0.889 0.026 0.851 0.889 0.87 0.932 thigh 0.709 0.031 0.794 0.709 0.749 0.839 upperarm 0.819 0.029 0.824 0.819 0.822 0.895 waist Weighted Avg. 0.829 0.028 0.829 0.829 0.828 0.9 === Confusion Matrix === a b c d e f g <-- classified as 520 7 11 5 17 23 4 | a = chest 11 481 33 5 7 17 29 | b = forearm 9 27 460 11 2 46 31 | c = head 6 8 8 522 21 7 14 | d = shin 17 14 1 9 520 5 19 | e = thigh 30 45 50 16 24 416 6 | f = upperarm 9 38 22 7 20 10 481 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3385 82.5408 % Incorrectly Classified Instances 716 17.4592 % Kappa statistic 0.7963 Mean absolute error 0.0499 Root mean squared error 0.2233 Relative absolute error 20.369 % Root relative squared error 63.8264 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.899 0.022 0.871 0.899 0.885 0.939 chest 0.815 0.04 0.774 0.815 0.794 0.888 forearm 0.758 0.038 0.768 0.758 0.763 0.86 head 0.904 0.016 0.904 0.904 0.904 0.944 shin 0.88 0.028 0.842 0.88 0.86 0.926 thigh 0.683 0.028 0.805 0.683 0.739 0.828 upperarm 0.838 0.033 0.811 0.838 0.824 0.903 waist Weighted Avg. 0.825 0.029 0.825 0.825 0.824 0.898 === Confusion Matrix === a b c d e f g <-- classified as 528 5 13 4 15 16 6 | a = chest 5 475 42 2 12 12 35 | b = forearm 15 31 444 7 5 52 32 | c = head 3 8 5 530 23 5 12 | d = shin 16 13 3 14 515 7 17 | e = thigh 34 44 55 20 20 401 13 | f = upperarm 5 38 16 9 22 5 492 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3390 82.6628 % Incorrectly Classified Instances 711 17.3372 % Kappa statistic 0.7977 Mean absolute error 0.0495 Root mean squared error 0.2226 Relative absolute error 20.2268 % Root relative squared error 63.6031 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.877 0.023 0.864 0.877 0.87 0.927 chest 0.839 0.046 0.752 0.839 0.793 0.897 forearm 0.763 0.034 0.789 0.763 0.776 0.865 head 0.879 0.012 0.923 0.879 0.9 0.933 shin 0.899 0.024 0.86 0.899 0.879 0.937 thigh 0.695 0.033 0.78 0.695 0.735 0.831 upperarm 0.835 0.03 0.824 0.835 0.829 0.902 waist Weighted Avg. 0.827 0.029 0.827 0.827 0.826 0.899 === Confusion Matrix === a b c d e f g <-- classified as 514 6 17 5 12 28 4 | a = chest 3 489 29 11 10 18 23 | b = forearm 14 38 448 6 2 46 33 | c = head 1 14 8 515 27 9 12 | d = shin 17 8 1 5 527 7 21 | e = thigh 35 54 48 9 21 407 12 | f = upperarm 11 41 17 7 14 7 490 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3406 83.0529 % Incorrectly Classified Instances 695 16.9471 % Kappa statistic 0.8023 Mean absolute error 0.0484 Root mean squared error 0.22 Relative absolute error 19.7716 % Root relative squared error 62.8834 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.913 0.027 0.849 0.913 0.88 0.943 chest 0.813 0.038 0.781 0.813 0.796 0.887 forearm 0.741 0.036 0.777 0.741 0.759 0.853 head 0.898 0.017 0.901 0.898 0.899 0.941 shin 0.91 0.022 0.874 0.91 0.891 0.944 thigh 0.739 0.031 0.799 0.739 0.768 0.854 upperarm 0.8 0.028 0.827 0.8 0.814 0.886 waist Weighted Avg. 0.831 0.028 0.83 0.831 0.83 0.901 === Confusion Matrix === a b c d e f g <-- classified as 536 5 8 6 11 17 4 | a = chest 5 473 36 7 11 25 25 | b = forearm 25 27 435 10 2 53 35 | c = head 6 14 7 526 14 6 13 | d = shin 16 9 1 11 533 2 14 | e = thigh 32 35 47 17 15 434 7 | f = upperarm 11 43 26 7 24 6 469 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3411 83.1748 % Incorrectly Classified Instances 690 16.8252 % Kappa statistic 0.8037 Mean absolute error 0.0481 Root mean squared error 0.2193 Relative absolute error 19.6294 % Root relative squared error 62.6568 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.881 0.025 0.855 0.881 0.867 0.928 chest 0.821 0.037 0.787 0.821 0.804 0.892 forearm 0.802 0.032 0.808 0.802 0.805 0.885 head 0.882 0.018 0.888 0.882 0.885 0.932 shin 0.892 0.025 0.856 0.892 0.874 0.934 thigh 0.716 0.031 0.794 0.716 0.753 0.842 upperarm 0.828 0.028 0.83 0.828 0.829 0.9 waist Weighted Avg. 0.832 0.028 0.831 0.832 0.831 0.902 === Confusion Matrix === a b c d e f g <-- classified as 517 10 3 10 11 24 12 | a = chest 10 478 30 8 8 22 26 | b = forearm 18 19 471 8 4 42 25 | c = head 4 5 12 517 30 9 9 | d = shin 15 11 0 15 523 4 18 | e = thigh 38 40 44 16 20 420 9 | f = upperarm 3 44 23 8 15 8 485 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3400 82.9066 % Incorrectly Classified Instances 701 17.0934 % Kappa statistic 0.8006 Mean absolute error 0.0488 Root mean squared error 0.221 Relative absolute error 19.9423 % Root relative squared error 63.1543 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.877 0.028 0.839 0.877 0.858 0.925 chest 0.833 0.041 0.77 0.833 0.8 0.896 forearm 0.79 0.035 0.79 0.79 0.79 0.878 head 0.867 0.011 0.929 0.867 0.897 0.928 shin 0.894 0.023 0.868 0.894 0.881 0.936 thigh 0.704 0.035 0.771 0.704 0.736 0.834 upperarm 0.838 0.026 0.842 0.838 0.84 0.906 waist Weighted Avg. 0.829 0.028 0.83 0.829 0.829 0.9 === Confusion Matrix === a b c d e f g <-- classified as 515 10 5 5 16 30 6 | a = chest 11 485 35 5 7 17 22 | b = forearm 16 27 464 5 1 47 27 | c = head 9 7 11 508 26 15 10 | d = shin 18 10 2 8 524 7 17 | e = thigh 38 48 54 10 14 413 10 | f = upperarm 7 43 16 6 16 7 491 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3371 82.1995 % Incorrectly Classified Instances 730 17.8005 % Kappa statistic 0.7923 Mean absolute error 0.0509 Root mean squared error 0.2255 Relative absolute error 20.7673 % Root relative squared error 64.4474 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.876 0.028 0.837 0.876 0.856 0.924 chest 0.825 0.044 0.757 0.825 0.79 0.891 forearm 0.754 0.03 0.805 0.754 0.779 0.862 head 0.846 0.015 0.907 0.846 0.876 0.916 shin 0.889 0.026 0.853 0.889 0.871 0.932 thigh 0.717 0.034 0.778 0.717 0.746 0.842 upperarm 0.846 0.031 0.821 0.846 0.834 0.908 waist Weighted Avg. 0.822 0.03 0.823 0.822 0.822 0.896 === Confusion Matrix === a b c d e f g <-- classified as 514 9 12 7 11 28 6 | a = chest 7 481 35 6 9 18 27 | b = forearm 12 42 442 8 1 48 33 | c = head 12 12 9 496 31 13 13 | d = shin 16 12 1 11 521 7 18 | e = thigh 44 44 34 12 21 421 11 | f = upperarm 9 35 16 7 17 6 496 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3333 81.2729 % Incorrectly Classified Instances 768 18.7271 % Kappa statistic 0.7815 Mean absolute error 0.0535 Root mean squared error 0.2313 Relative absolute error 21.8483 % Root relative squared error 66.1035 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.865 0.025 0.854 0.865 0.86 0.92 chest 0.82 0.046 0.746 0.82 0.781 0.887 forearm 0.706 0.033 0.781 0.706 0.742 0.837 head 0.869 0.015 0.907 0.869 0.888 0.927 shin 0.892 0.03 0.831 0.892 0.861 0.931 thigh 0.7 0.041 0.739 0.7 0.719 0.829 upperarm 0.836 0.028 0.832 0.836 0.834 0.904 waist Weighted Avg. 0.813 0.031 0.813 0.813 0.812 0.891 === Confusion Matrix === a b c d e f g <-- classified as 508 6 8 12 21 24 8 | a = chest 4 478 26 6 10 33 26 | b = forearm 19 43 414 8 4 68 30 | c = head 11 9 8 509 34 8 7 | d = shin 15 13 3 11 523 5 16 | e = thigh 34 46 48 13 23 411 12 | f = upperarm 4 46 23 2 14 7 490 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3355 81.8093 % Incorrectly Classified Instances 746 18.1907 % Kappa statistic 0.7878 Mean absolute error 0.052 Root mean squared error 0.228 Relative absolute error 21.2225 % Root relative squared error 65.1498 % Total Number of Instances 4101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.896 0.024 0.861 0.896 0.878 0.936 chest 0.837 0.045 0.753 0.837 0.793 0.896 forearm 0.735 0.038 0.763 0.735 0.749 0.849 head 0.898 0.017 0.901 0.898 0.899 0.941 shin 0.886 0.027 0.845 0.886 0.865 0.929 thigh 0.663 0.035 0.761 0.663 0.709 0.814 upperarm 0.812 0.026 0.838 0.812 0.825 0.893 waist Weighted Avg. 0.818 0.03 0.817 0.818 0.817 0.894 === Confusion Matrix === a b c d e f g <-- classified as 526 4 13 3 11 22 8 | a = chest 5 488 26 11 13 19 21 | b = forearm 16 39 431 4 4 63 29 | c = head 5 12 9 526 19 10 5 | d = shin 19 18 2 11 519 1 16 | e = thigh 33 43 63 17 29 389 13 | f = upperarm 7 44 21 12 19 7 476 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3404 83.0244 % Incorrectly Classified Instances 696 16.9756 % Kappa statistic 0.802 Mean absolute error 0.0485 Root mean squared error 0.2202 Relative absolute error 19.8049 % Root relative squared error 62.9363 % Total Number of Instances 4100 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.894 0.021 0.878 0.894 0.886 0.937 chest 0.82 0.043 0.759 0.82 0.788 0.888 forearm 0.776 0.034 0.794 0.776 0.785 0.871 head 0.899 0.015 0.907 0.899 0.903 0.942 shin 0.898 0.023 0.867 0.898 0.882 0.937 thigh 0.697 0.028 0.807 0.697 0.748 0.834 upperarm 0.828 0.034 0.802 0.828 0.814 0.897 waist Weighted Avg. 0.83 0.028 0.83 0.83 0.829 0.901 === Confusion Matrix === a b c d e f g <-- classified as 525 8 12 8 10 20 4 | a = chest 5 478 25 9 6 22 38 | b = forearm 15 39 455 11 3 38 25 | c = head 4 4 10 526 25 8 8 | d = shin 9 10 1 6 526 4 30 | e = thigh 33 41 55 14 20 409 15 | f = upperarm 7 50 15 6 17 6 485 | g = waist ------------------------------------------------------------------------------------------------------ SUBJECT: 6 RUN: 0 FOLD: 0 Correctly Classified Instances 2850 88.2353 % Incorrectly Classified Instances 380 11.7647 % Kappa statistic 0.8627 Mean absolute error 0.0336 Root mean squared error 0.1833 Relative absolute error 13.7258 % Root relative squared error 52.3943 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.937 0.023 0.87 0.937 0.902 0.957 chest 0.794 0.022 0.855 0.794 0.824 0.886 forearm 0.877 0.022 0.868 0.877 0.872 0.927 head 0.955 0.007 0.961 0.955 0.958 0.974 shin 0.891 0.012 0.924 0.891 0.907 0.939 thigh 0.794 0.031 0.809 0.794 0.801 0.881 upperarm 0.929 0.019 0.89 0.929 0.909 0.955 waist Weighted Avg. 0.882 0.02 0.882 0.882 0.882 0.931 === Confusion Matrix === a b c d e f g <-- classified as 434 5 3 0 3 17 1 | a = chest 4 367 26 1 9 18 37 | b = forearm 10 16 407 1 0 27 3 | c = head 7 2 2 443 4 6 0 | d = shin 11 8 1 11 399 15 3 | e = thigh 28 15 27 4 13 369 9 | f = upperarm 5 16 3 1 4 4 431 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2815 87.1517 % Incorrectly Classified Instances 415 12.8483 % Kappa statistic 0.8501 Mean absolute error 0.0367 Root mean squared error 0.1916 Relative absolute error 14.99 % Root relative squared error 54.7541 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.927 0.02 0.885 0.927 0.905 0.953 chest 0.758 0.026 0.827 0.758 0.791 0.866 forearm 0.879 0.025 0.854 0.879 0.866 0.927 head 0.933 0.004 0.977 0.933 0.955 0.965 shin 0.908 0.018 0.893 0.908 0.9 0.945 thigh 0.822 0.03 0.82 0.822 0.821 0.896 upperarm 0.875 0.026 0.848 0.875 0.861 0.924 waist Weighted Avg. 0.872 0.021 0.872 0.872 0.871 0.925 === Confusion Matrix === a b c d e f g <-- classified as 429 1 6 1 3 18 5 | a = chest 3 350 30 2 10 22 45 | b = forearm 7 20 408 1 2 21 5 | c = head 5 3 0 433 20 2 1 | d = shin 4 9 6 3 407 11 8 | e = thigh 28 14 18 3 11 382 9 | f = upperarm 9 26 10 0 3 10 406 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2823 87.3994 % Incorrectly Classified Instances 407 12.6006 % Kappa statistic 0.853 Mean absolute error 0.036 Root mean squared error 0.1897 Relative absolute error 14.7011 % Root relative squared error 54.2238 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.92 0.02 0.888 0.92 0.903 0.95 chest 0.742 0.023 0.843 0.742 0.789 0.86 forearm 0.873 0.033 0.818 0.873 0.845 0.92 head 0.944 0.006 0.963 0.944 0.953 0.969 shin 0.917 0.013 0.919 0.917 0.918 0.952 thigh 0.828 0.029 0.826 0.828 0.827 0.899 upperarm 0.894 0.023 0.865 0.894 0.879 0.935 waist Weighted Avg. 0.874 0.021 0.874 0.874 0.873 0.926 === Confusion Matrix === a b c d e f g <-- classified as 426 5 10 1 3 15 3 | a = chest 6 343 36 3 9 24 41 | b = forearm 11 14 405 2 4 21 7 | c = head 3 0 3 438 12 4 4 | d = shin 3 3 10 6 411 9 6 | e = thigh 24 18 24 5 5 385 4 | f = upperarm 7 24 7 0 3 8 415 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2858 88.483 % Incorrectly Classified Instances 372 11.517 % Kappa statistic 0.8656 Mean absolute error 0.0329 Root mean squared error 0.1814 Relative absolute error 13.4369 % Root relative squared error 51.8399 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.938 0.014 0.916 0.938 0.927 0.962 chest 0.785 0.027 0.828 0.785 0.806 0.879 forearm 0.89 0.026 0.852 0.89 0.87 0.932 head 0.942 0.002 0.989 0.942 0.965 0.97 shin 0.92 0.014 0.916 0.92 0.918 0.953 thigh 0.813 0.029 0.825 0.813 0.819 0.892 upperarm 0.907 0.022 0.872 0.907 0.889 0.942 waist Weighted Avg. 0.885 0.019 0.885 0.885 0.885 0.933 === Confusion Matrix === a b c d e f g <-- classified as 435 3 2 0 6 16 2 | a = chest 3 362 30 1 8 23 34 | b = forearm 4 11 413 0 6 23 7 | c = head 3 3 1 437 8 8 4 | d = shin 3 15 5 3 412 5 5 | e = thigh 22 22 25 1 7 378 10 | f = upperarm 5 21 9 0 3 5 421 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2833 87.709 % Incorrectly Classified Instances 397 12.291 % Kappa statistic 0.8566 Mean absolute error 0.0351 Root mean squared error 0.1874 Relative absolute error 14.3399 % Root relative squared error 53.5535 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.922 0.018 0.895 0.922 0.909 0.952 chest 0.759 0.025 0.837 0.759 0.796 0.867 forearm 0.903 0.031 0.831 0.903 0.866 0.936 head 0.95 0.005 0.971 0.95 0.961 0.973 shin 0.893 0.01 0.932 0.893 0.912 0.941 thigh 0.815 0.03 0.822 0.815 0.819 0.893 upperarm 0.897 0.025 0.856 0.897 0.876 0.936 waist Weighted Avg. 0.877 0.021 0.878 0.877 0.877 0.928 === Confusion Matrix === a b c d e f g <-- classified as 428 2 8 1 2 20 3 | a = chest 5 350 35 2 9 19 41 | b = forearm 4 9 419 0 1 21 10 | c = head 4 1 1 441 7 8 2 | d = shin 9 11 4 9 400 9 6 | e = thigh 22 16 31 1 8 379 8 | f = upperarm 6 29 6 0 2 5 416 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2822 87.3684 % Incorrectly Classified Instances 408 12.6316 % Kappa statistic 0.8526 Mean absolute error 0.0361 Root mean squared error 0.19 Relative absolute error 14.7372 % Root relative squared error 54.2902 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.935 0.017 0.904 0.935 0.919 0.959 chest 0.772 0.034 0.791 0.772 0.782 0.869 forearm 0.886 0.024 0.862 0.886 0.874 0.931 head 0.944 0.005 0.967 0.944 0.955 0.969 shin 0.893 0.012 0.922 0.893 0.907 0.94 thigh 0.787 0.026 0.837 0.787 0.811 0.88 upperarm 0.899 0.03 0.836 0.899 0.866 0.935 waist Weighted Avg. 0.874 0.021 0.874 0.874 0.873 0.926 === Confusion Matrix === a b c d e f g <-- classified as 434 5 5 2 2 13 3 | a = chest 3 356 23 2 7 16 54 | b = forearm 2 22 411 0 1 21 7 | c = head 4 4 2 438 10 3 3 | d = shin 4 15 3 8 401 12 6 | e = thigh 31 19 28 3 9 365 9 | f = upperarm 2 29 5 0 5 6 417 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2849 88.2043 % Incorrectly Classified Instances 381 11.7957 % Kappa statistic 0.8624 Mean absolute error 0.0337 Root mean squared error 0.1836 Relative absolute error 13.7619 % Root relative squared error 52.4632 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.929 0.018 0.894 0.929 0.911 0.955 chest 0.779 0.02 0.865 0.779 0.82 0.879 forearm 0.877 0.027 0.845 0.877 0.861 0.925 head 0.925 0.006 0.962 0.925 0.943 0.959 shin 0.891 0.017 0.895 0.891 0.893 0.937 thigh 0.838 0.028 0.833 0.838 0.836 0.905 upperarm 0.935 0.021 0.884 0.935 0.909 0.957 waist Weighted Avg. 0.882 0.02 0.882 0.882 0.882 0.931 === Confusion Matrix === a b c d e f g <-- classified as 430 0 6 5 4 13 5 | a = chest 7 359 34 3 9 17 32 | b = forearm 7 17 408 0 1 25 7 | c = head 3 2 2 430 19 7 2 | d = shin 5 15 5 9 399 12 3 | e = thigh 27 7 23 0 10 389 8 | f = upperarm 2 15 5 0 4 4 434 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2823 87.3994 % Incorrectly Classified Instances 407 12.6006 % Kappa statistic 0.853 Mean absolute error 0.036 Root mean squared error 0.1897 Relative absolute error 14.7011 % Root relative squared error 54.2237 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.952 0.022 0.878 0.952 0.914 0.965 chest 0.777 0.028 0.823 0.777 0.8 0.875 forearm 0.856 0.028 0.838 0.856 0.846 0.914 head 0.931 0.005 0.969 0.931 0.95 0.963 shin 0.893 0.014 0.913 0.893 0.903 0.94 thigh 0.817 0.029 0.826 0.817 0.821 0.894 upperarm 0.892 0.022 0.873 0.892 0.883 0.935 waist Weighted Avg. 0.874 0.021 0.874 0.874 0.874 0.926 === Confusion Matrix === a b c d e f g <-- classified as 441 1 5 0 2 13 1 | a = chest 6 359 32 0 8 19 38 | b = forearm 8 23 397 1 1 25 9 | c = head 6 5 2 433 13 3 3 | d = shin 9 6 5 11 400 13 4 | e = thigh 27 15 26 2 10 379 5 | f = upperarm 5 27 7 0 4 7 414 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2846 88.1115 % Incorrectly Classified Instances 384 11.8885 % Kappa statistic 0.8613 Mean absolute error 0.034 Root mean squared error 0.1843 Relative absolute error 13.8703 % Root relative squared error 52.6693 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.931 0.015 0.911 0.931 0.921 0.958 chest 0.758 0.022 0.854 0.758 0.803 0.868 forearm 0.903 0.022 0.875 0.903 0.889 0.941 head 0.946 0.004 0.973 0.946 0.96 0.971 shin 0.897 0.015 0.907 0.897 0.902 0.941 thigh 0.825 0.033 0.81 0.825 0.818 0.896 upperarm 0.907 0.029 0.842 0.907 0.873 0.939 waist Weighted Avg. 0.881 0.02 0.882 0.881 0.881 0.931 === Confusion Matrix === a b c d e f g <-- classified as 431 5 3 1 1 18 4 | a = chest 3 350 27 2 9 26 45 | b = forearm 8 12 419 1 2 18 4 | c = head 3 4 3 440 12 3 0 | d = shin 3 6 4 8 402 17 8 | e = thigh 23 10 19 0 11 383 18 | f = upperarm 2 23 4 0 6 8 421 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2799 86.6563 % Incorrectly Classified Instances 431 13.3437 % Kappa statistic 0.8443 Mean absolute error 0.0381 Root mean squared error 0.1953 Relative absolute error 15.568 % Root relative squared error 55.7996 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.935 0.016 0.906 0.935 0.92 0.959 chest 0.749 0.026 0.826 0.749 0.785 0.861 forearm 0.858 0.031 0.822 0.858 0.84 0.913 head 0.961 0.006 0.963 0.961 0.962 0.978 shin 0.871 0.012 0.922 0.871 0.896 0.929 thigh 0.795 0.035 0.792 0.795 0.794 0.88 upperarm 0.897 0.029 0.839 0.897 0.867 0.934 waist Weighted Avg. 0.867 0.022 0.867 0.867 0.866 0.922 === Confusion Matrix === a b c d e f g <-- classified as 433 2 4 2 5 16 1 | a = chest 6 346 32 2 8 18 50 | b = forearm 4 19 398 0 2 33 8 | c = head 0 1 2 447 9 4 2 | d = shin 6 15 5 10 390 13 9 | e = thigh 26 14 36 3 6 369 10 | f = upperarm 3 22 7 0 3 13 416 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 1 FOLD: 0 Correctly Classified Instances 2815 87.1517 % Incorrectly Classified Instances 415 12.8483 % Kappa statistic 0.8501 Mean absolute error 0.0367 Root mean squared error 0.1916 Relative absolute error 14.99 % Root relative squared error 54.754 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.927 0.018 0.897 0.927 0.912 0.954 chest 0.764 0.031 0.804 0.764 0.783 0.866 forearm 0.888 0.032 0.822 0.888 0.854 0.928 head 0.97 0.007 0.962 0.97 0.966 0.982 shin 0.889 0.012 0.921 0.889 0.905 0.938 thigh 0.789 0.024 0.847 0.789 0.817 0.882 upperarm 0.875 0.026 0.848 0.875 0.861 0.924 waist Weighted Avg. 0.872 0.021 0.871 0.872 0.871 0.925 === Confusion Matrix === a b c d e f g <-- classified as 429 3 5 3 4 11 8 | a = chest 2 352 35 0 5 24 43 | b = forearm 5 20 412 0 2 19 6 | c = head 3 1 1 451 5 2 2 | d = shin 4 16 3 11 399 7 9 | e = thigh 28 14 35 4 12 366 5 | f = upperarm 7 32 10 0 6 3 406 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2816 87.1827 % Incorrectly Classified Instances 414 12.8173 % Kappa statistic 0.8505 Mean absolute error 0.0366 Root mean squared error 0.1914 Relative absolute error 14.9539 % Root relative squared error 54.6881 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.924 0.022 0.877 0.924 0.9 0.951 chest 0.757 0.027 0.823 0.757 0.789 0.865 forearm 0.888 0.024 0.86 0.888 0.874 0.932 head 0.94 0.005 0.971 0.94 0.955 0.968 shin 0.893 0.013 0.92 0.893 0.906 0.94 thigh 0.804 0.024 0.848 0.804 0.826 0.89 upperarm 0.897 0.035 0.811 0.897 0.852 0.931 waist Weighted Avg. 0.872 0.021 0.873 0.872 0.871 0.925 === Confusion Matrix === a b c d e f g <-- classified as 428 2 3 0 3 19 8 | a = chest 6 349 29 0 9 11 57 | b = forearm 8 14 412 3 1 20 6 | c = head 3 4 1 437 12 3 5 | d = shin 7 19 3 8 400 6 5 | e = thigh 30 15 24 1 5 374 16 | f = upperarm 6 21 7 1 5 8 416 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2796 86.5635 % Incorrectly Classified Instances 434 13.4365 % Kappa statistic 0.8432 Mean absolute error 0.0384 Root mean squared error 0.1959 Relative absolute error 15.6763 % Root relative squared error 55.9935 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.935 0.021 0.882 0.935 0.908 0.957 chest 0.742 0.028 0.816 0.742 0.777 0.857 forearm 0.858 0.03 0.829 0.858 0.843 0.914 head 0.953 0.007 0.957 0.953 0.955 0.973 shin 0.891 0.017 0.897 0.891 0.894 0.937 thigh 0.776 0.031 0.809 0.776 0.793 0.873 upperarm 0.905 0.024 0.864 0.905 0.884 0.941 waist Weighted Avg. 0.866 0.022 0.865 0.866 0.865 0.922 === Confusion Matrix === a b c d e f g <-- classified as 433 3 5 1 1 18 2 | a = chest 6 342 34 5 15 18 41 | b = forearm 8 18 398 2 4 28 6 | c = head 5 2 2 443 10 2 1 | d = shin 5 13 6 7 399 10 8 | e = thigh 32 17 29 5 13 361 8 | f = upperarm 2 24 6 0 3 9 420 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2838 87.8638 % Incorrectly Classified Instances 392 12.1362 % Kappa statistic 0.8584 Mean absolute error 0.0347 Root mean squared error 0.1862 Relative absolute error 14.1593 % Root relative squared error 53.2152 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.935 0.019 0.893 0.935 0.914 0.958 chest 0.777 0.026 0.834 0.777 0.804 0.875 forearm 0.875 0.026 0.849 0.875 0.862 0.924 head 0.946 0.003 0.98 0.946 0.963 0.971 shin 0.92 0.015 0.907 0.92 0.914 0.952 thigh 0.8 0.025 0.842 0.8 0.82 0.887 upperarm 0.899 0.027 0.846 0.899 0.871 0.936 waist Weighted Avg. 0.879 0.02 0.879 0.879 0.878 0.929 === Confusion Matrix === a b c d e f g <-- classified as 433 2 5 1 7 10 5 | a = chest 3 358 29 0 10 14 47 | b = forearm 5 19 406 1 2 21 10 | c = head 4 2 6 440 6 3 4 | d = shin 5 7 3 5 412 14 2 | e = thigh 29 17 24 2 13 372 8 | f = upperarm 6 24 5 0 4 8 417 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2813 87.0898 % Incorrectly Classified Instances 417 12.9102 % Kappa statistic 0.8494 Mean absolute error 0.0369 Root mean squared error 0.1921 Relative absolute error 15.0623 % Root relative squared error 54.8858 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.922 0.017 0.901 0.922 0.911 0.953 chest 0.749 0.023 0.846 0.749 0.794 0.863 forearm 0.86 0.03 0.826 0.86 0.843 0.915 head 0.948 0.007 0.957 0.948 0.952 0.971 shin 0.895 0.011 0.93 0.895 0.912 0.942 thigh 0.794 0.034 0.795 0.794 0.794 0.88 upperarm 0.929 0.028 0.847 0.929 0.886 0.95 waist Weighted Avg. 0.871 0.022 0.871 0.871 0.87 0.925 === Confusion Matrix === a b c d e f g <-- classified as 427 3 9 1 2 19 2 | a = chest 3 346 35 2 8 21 47 | b = forearm 11 13 399 2 3 27 9 | c = head 2 2 3 440 8 7 2 | d = shin 1 6 7 10 401 15 8 | e = thigh 27 20 28 4 7 369 10 | f = upperarm 3 19 2 1 2 6 431 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2847 88.1424 % Incorrectly Classified Instances 383 11.8576 % Kappa statistic 0.8617 Mean absolute error 0.0339 Root mean squared error 0.1841 Relative absolute error 13.8342 % Root relative squared error 52.6007 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.946 0.017 0.905 0.946 0.925 0.965 chest 0.788 0.028 0.825 0.788 0.806 0.88 forearm 0.89 0.022 0.871 0.89 0.881 0.934 head 0.929 0.004 0.975 0.929 0.951 0.962 shin 0.897 0.014 0.912 0.897 0.904 0.942 thigh 0.826 0.024 0.851 0.826 0.838 0.901 upperarm 0.894 0.03 0.835 0.894 0.864 0.932 waist Weighted Avg. 0.881 0.02 0.882 0.881 0.881 0.931 === Confusion Matrix === a b c d e f g <-- classified as 438 5 3 0 2 12 3 | a = chest 6 364 19 0 5 16 52 | b = forearm 7 12 413 0 5 20 7 | c = head 1 4 2 431 15 6 5 | d = shin 11 8 5 8 402 5 9 | e = thigh 16 22 27 3 7 384 6 | f = upperarm 5 26 5 0 5 8 415 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2849 88.2043 % Incorrectly Classified Instances 381 11.7957 % Kappa statistic 0.8624 Mean absolute error 0.0337 Root mean squared error 0.1836 Relative absolute error 13.7619 % Root relative squared error 52.4632 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.933 0.015 0.914 0.933 0.923 0.959 chest 0.784 0.025 0.842 0.784 0.812 0.879 forearm 0.869 0.023 0.863 0.869 0.866 0.923 head 0.944 0.007 0.958 0.944 0.951 0.969 shin 0.891 0.011 0.93 0.891 0.91 0.94 thigh 0.858 0.029 0.831 0.858 0.844 0.914 upperarm 0.897 0.028 0.842 0.897 0.868 0.934 waist Weighted Avg. 0.882 0.02 0.883 0.882 0.882 0.931 === Confusion Matrix === a b c d e f g <-- classified as 433 3 7 2 1 14 4 | a = chest 5 362 23 5 6 18 43 | b = forearm 6 16 403 0 0 29 10 | c = head 3 3 0 438 14 2 4 | d = shin 6 8 8 11 399 9 7 | e = thigh 20 8 21 1 6 398 10 | f = upperarm 1 30 5 0 3 9 416 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2846 88.1115 % Incorrectly Classified Instances 384 11.8885 % Kappa statistic 0.8613 Mean absolute error 0.034 Root mean squared error 0.1843 Relative absolute error 13.8703 % Root relative squared error 52.6693 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.942 0.017 0.901 0.942 0.921 0.962 chest 0.764 0.031 0.806 0.764 0.784 0.867 forearm 0.886 0.028 0.842 0.886 0.863 0.929 head 0.963 0.004 0.978 0.963 0.971 0.98 shin 0.908 0.013 0.919 0.908 0.914 0.948 thigh 0.778 0.022 0.857 0.778 0.816 0.878 upperarm 0.927 0.025 0.863 0.927 0.894 0.951 waist Weighted Avg. 0.881 0.02 0.881 0.881 0.88 0.931 === Confusion Matrix === a b c d e f g <-- classified as 437 2 3 2 6 12 2 | a = chest 6 353 36 3 7 17 40 | b = forearm 6 23 411 0 3 17 4 | c = head 4 3 0 447 5 3 2 | d = shin 3 12 3 5 407 8 10 | e = thigh 26 26 29 0 12 361 10 | f = upperarm 3 19 6 0 3 3 430 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2847 88.1424 % Incorrectly Classified Instances 383 11.8576 % Kappa statistic 0.8617 Mean absolute error 0.0339 Root mean squared error 0.1841 Relative absolute error 13.8342 % Root relative squared error 52.6007 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.944 0.022 0.878 0.944 0.91 0.961 chest 0.797 0.02 0.87 0.797 0.832 0.888 forearm 0.892 0.025 0.859 0.892 0.875 0.934 head 0.929 0.007 0.956 0.929 0.942 0.961 shin 0.893 0.014 0.911 0.893 0.902 0.939 thigh 0.8 0.025 0.841 0.8 0.82 0.887 upperarm 0.916 0.025 0.859 0.916 0.886 0.945 waist Weighted Avg. 0.881 0.02 0.882 0.881 0.881 0.931 === Confusion Matrix === a b c d e f g <-- classified as 438 4 7 1 1 13 0 | a = chest 5 368 26 3 9 16 35 | b = forearm 9 11 414 0 0 21 9 | c = head 9 1 2 431 16 4 1 | d = shin 5 8 3 13 400 9 10 | e = thigh 30 12 24 2 10 371 15 | f = upperarm 3 19 6 1 3 7 425 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2846 88.1115 % Incorrectly Classified Instances 384 11.8885 % Kappa statistic 0.8613 Mean absolute error 0.034 Root mean squared error 0.1843 Relative absolute error 13.8703 % Root relative squared error 52.6693 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.916 0.014 0.914 0.916 0.915 0.951 chest 0.784 0.027 0.83 0.784 0.806 0.878 forearm 0.873 0.022 0.868 0.873 0.87 0.925 head 0.933 0.006 0.964 0.933 0.949 0.964 shin 0.908 0.012 0.923 0.908 0.916 0.948 thigh 0.841 0.033 0.811 0.841 0.825 0.904 upperarm 0.914 0.024 0.864 0.914 0.888 0.945 waist Weighted Avg. 0.881 0.02 0.882 0.881 0.881 0.931 === Confusion Matrix === a b c d e f g <-- classified as 424 2 3 0 3 27 4 | a = chest 7 362 28 3 8 18 36 | b = forearm 4 21 406 0 1 26 7 | c = head 1 4 4 433 10 6 6 | d = shin 5 11 5 7 407 9 4 | e = thigh 20 14 17 5 8 390 10 | f = upperarm 3 22 5 1 4 5 424 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 2 FOLD: 0 Correctly Classified Instances 2838 87.8638 % Incorrectly Classified Instances 392 12.1362 % Kappa statistic 0.8584 Mean absolute error 0.0347 Root mean squared error 0.1862 Relative absolute error 14.1592 % Root relative squared error 53.2151 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.942 0.016 0.906 0.942 0.924 0.963 chest 0.77 0.025 0.839 0.77 0.803 0.873 forearm 0.884 0.028 0.842 0.884 0.862 0.928 head 0.94 0.006 0.965 0.94 0.952 0.967 shin 0.9 0.017 0.896 0.9 0.898 0.941 thigh 0.804 0.025 0.846 0.804 0.825 0.89 upperarm 0.912 0.026 0.856 0.912 0.883 0.943 waist Weighted Avg. 0.879 0.02 0.879 0.879 0.878 0.929 === Confusion Matrix === a b c d e f g <-- classified as 436 1 7 1 4 12 2 | a = chest 2 355 33 0 9 17 45 | b = forearm 4 15 410 0 2 20 13 | c = head 3 3 0 436 15 6 1 | d = shin 7 9 7 10 404 8 4 | e = thigh 21 22 27 4 11 374 6 | f = upperarm 8 18 3 1 6 5 423 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2858 88.483 % Incorrectly Classified Instances 372 11.517 % Kappa statistic 0.8656 Mean absolute error 0.0329 Root mean squared error 0.1814 Relative absolute error 13.4369 % Root relative squared error 51.8399 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.942 0.021 0.884 0.942 0.912 0.961 chest 0.829 0.026 0.842 0.829 0.835 0.901 forearm 0.888 0.028 0.843 0.888 0.865 0.93 head 0.944 0.005 0.971 0.944 0.957 0.97 shin 0.917 0.01 0.938 0.917 0.928 0.954 thigh 0.766 0.027 0.826 0.766 0.795 0.869 upperarm 0.909 0.018 0.892 0.909 0.901 0.946 waist Weighted Avg. 0.885 0.019 0.885 0.885 0.884 0.933 === Confusion Matrix === a b c d e f g <-- classified as 436 2 4 1 0 18 2 | a = chest 5 383 20 3 4 12 35 | b = forearm 3 20 412 0 4 23 2 | c = head 3 5 1 438 11 2 4 | d = shin 5 5 5 7 411 12 3 | e = thigh 35 17 44 2 6 356 5 | f = upperarm 6 23 3 0 2 8 422 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2806 86.8731 % Incorrectly Classified Instances 424 13.1269 % Kappa statistic 0.8468 Mean absolute error 0.0375 Root mean squared error 0.1937 Relative absolute error 15.3151 % Root relative squared error 55.3446 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.924 0.018 0.894 0.924 0.909 0.953 chest 0.742 0.026 0.825 0.742 0.781 0.858 forearm 0.875 0.03 0.83 0.875 0.852 0.922 head 0.918 0.005 0.97 0.918 0.944 0.957 shin 0.875 0.015 0.903 0.875 0.889 0.93 thigh 0.841 0.029 0.828 0.841 0.835 0.906 upperarm 0.905 0.029 0.838 0.905 0.87 0.938 waist Weighted Avg. 0.869 0.022 0.87 0.869 0.868 0.923 === Confusion Matrix === a b c d e f g <-- classified as 428 3 5 2 6 17 2 | a = chest 3 343 45 1 6 23 41 | b = forearm 10 15 406 0 2 19 12 | c = head 5 6 3 426 16 5 3 | d = shin 4 14 9 8 392 10 11 | e = thigh 27 11 14 2 8 391 12 | f = upperarm 2 24 7 0 4 7 420 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2812 87.0588 % Incorrectly Classified Instances 418 12.9412 % Kappa statistic 0.849 Mean absolute error 0.037 Root mean squared error 0.1923 Relative absolute error 15.0984 % Root relative squared error 54.9516 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.931 0.019 0.892 0.931 0.911 0.956 chest 0.736 0.032 0.794 0.736 0.764 0.852 forearm 0.862 0.03 0.83 0.862 0.846 0.916 head 0.948 0.005 0.971 0.948 0.96 0.972 shin 0.904 0.013 0.92 0.904 0.912 0.946 thigh 0.808 0.026 0.837 0.808 0.822 0.891 upperarm 0.905 0.027 0.848 0.905 0.876 0.939 waist Weighted Avg. 0.871 0.022 0.87 0.871 0.87 0.924 === Confusion Matrix === a b c d e f g <-- classified as 431 4 6 1 5 14 2 | a = chest 10 340 37 2 7 21 45 | b = forearm 6 28 400 0 3 20 7 | c = head 2 2 5 441 7 5 3 | d = shin 3 11 3 6 405 9 11 | e = thigh 23 20 24 3 12 375 7 | f = upperarm 8 23 7 1 1 4 420 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2830 87.6161 % Incorrectly Classified Instances 400 12.3839 % Kappa statistic 0.8555 Mean absolute error 0.0354 Root mean squared error 0.1881 Relative absolute error 14.4482 % Root relative squared error 53.7554 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.929 0.021 0.879 0.929 0.903 0.954 chest 0.794 0.028 0.827 0.794 0.81 0.883 forearm 0.851 0.028 0.837 0.851 0.844 0.912 head 0.959 0.005 0.97 0.959 0.964 0.977 shin 0.882 0.011 0.929 0.882 0.905 0.935 thigh 0.806 0.026 0.837 0.806 0.821 0.89 upperarm 0.912 0.025 0.858 0.912 0.884 0.943 waist Weighted Avg. 0.876 0.021 0.876 0.876 0.876 0.928 === Confusion Matrix === a b c d e f g <-- classified as 430 2 11 1 2 14 3 | a = chest 4 367 27 1 14 12 37 | b = forearm 8 17 395 1 1 31 11 | c = head 6 2 2 446 6 2 1 | d = shin 7 14 7 7 395 11 7 | e = thigh 31 17 24 4 3 374 11 | f = upperarm 3 25 6 0 4 3 423 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2831 87.6471 % Incorrectly Classified Instances 399 12.3529 % Kappa statistic 0.8559 Mean absolute error 0.0353 Root mean squared error 0.1879 Relative absolute error 14.4121 % Root relative squared error 53.6882 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.927 0.016 0.909 0.927 0.918 0.956 chest 0.747 0.026 0.829 0.747 0.786 0.861 forearm 0.884 0.024 0.861 0.884 0.872 0.93 head 0.933 0.005 0.967 0.933 0.95 0.964 shin 0.913 0.019 0.883 0.913 0.898 0.947 thigh 0.834 0.031 0.82 0.834 0.827 0.902 upperarm 0.899 0.023 0.865 0.899 0.882 0.938 waist Weighted Avg. 0.876 0.021 0.876 0.876 0.876 0.928 === Confusion Matrix === a b c d e f g <-- classified as 429 4 5 2 3 19 1 | a = chest 6 345 31 2 15 21 42 | b = forearm 10 15 410 0 5 17 7 | c = head 6 1 0 434 14 8 2 | d = shin 3 10 2 9 409 12 3 | e = thigh 15 17 20 1 14 387 10 | f = upperarm 3 24 8 1 3 8 417 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2848 88.1734 % Incorrectly Classified Instances 382 11.8266 % Kappa statistic 0.862 Mean absolute error 0.0338 Root mean squared error 0.1838 Relative absolute error 13.7981 % Root relative squared error 52.532 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.95 0.015 0.913 0.95 0.931 0.968 chest 0.747 0.027 0.823 0.747 0.783 0.86 forearm 0.905 0.023 0.868 0.905 0.886 0.941 head 0.938 0.006 0.962 0.938 0.95 0.966 shin 0.886 0.015 0.904 0.886 0.895 0.936 thigh 0.847 0.026 0.847 0.847 0.847 0.911 upperarm 0.899 0.026 0.853 0.899 0.875 0.936 waist Weighted Avg. 0.882 0.02 0.881 0.882 0.881 0.931 === Confusion Matrix === a b c d e f g <-- classified as 440 2 4 2 3 9 3 | a = chest 4 345 31 2 13 20 47 | b = forearm 3 12 420 2 1 21 5 | c = head 5 2 3 436 12 3 4 | d = shin 7 14 2 9 397 14 5 | e = thigh 21 14 19 1 8 393 8 | f = upperarm 2 30 5 1 5 4 417 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2825 87.4613 % Incorrectly Classified Instances 405 12.5387 % Kappa statistic 0.8537 Mean absolute error 0.0358 Root mean squared error 0.1893 Relative absolute error 14.6288 % Root relative squared error 54.0904 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.912 0.016 0.904 0.912 0.908 0.948 chest 0.759 0.027 0.825 0.759 0.791 0.866 forearm 0.905 0.028 0.845 0.905 0.874 0.939 head 0.944 0.005 0.967 0.944 0.955 0.969 shin 0.9 0.013 0.916 0.9 0.908 0.943 thigh 0.797 0.026 0.835 0.797 0.816 0.886 upperarm 0.905 0.03 0.833 0.905 0.868 0.937 waist Weighted Avg. 0.875 0.021 0.875 0.875 0.874 0.927 === Confusion Matrix === a b c d e f g <-- classified as 423 3 5 0 2 22 9 | a = chest 4 350 28 2 8 14 55 | b = forearm 3 13 421 1 2 22 3 | c = head 2 3 2 438 9 4 6 | d = shin 8 12 4 10 403 9 2 | e = thigh 25 18 29 2 11 370 9 | f = upperarm 3 25 9 0 5 2 420 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2820 87.3065 % Incorrectly Classified Instances 410 12.6935 % Kappa statistic 0.8519 Mean absolute error 0.0363 Root mean squared error 0.1904 Relative absolute error 14.8094 % Root relative squared error 54.4232 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.944 0.019 0.892 0.944 0.917 0.962 chest 0.77 0.028 0.822 0.77 0.795 0.871 forearm 0.849 0.025 0.853 0.849 0.851 0.912 head 0.95 0.006 0.965 0.95 0.958 0.972 shin 0.911 0.016 0.901 0.911 0.906 0.947 thigh 0.8 0.031 0.814 0.8 0.807 0.885 upperarm 0.888 0.024 0.862 0.888 0.875 0.932 waist Weighted Avg. 0.873 0.021 0.872 0.873 0.873 0.926 === Confusion Matrix === a b c d e f g <-- classified as 438 2 0 1 3 18 2 | a = chest 7 355 27 3 12 18 39 | b = forearm 8 20 394 1 4 32 5 | c = head 3 4 2 441 9 2 3 | d = shin 6 12 4 8 408 5 5 | e = thigh 24 13 30 3 11 372 12 | f = upperarm 5 26 5 0 6 10 412 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2837 87.8328 % Incorrectly Classified Instances 393 12.1672 % Kappa statistic 0.858 Mean absolute error 0.0348 Root mean squared error 0.1864 Relative absolute error 14.1954 % Root relative squared error 53.283 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.94 0.022 0.877 0.94 0.907 0.959 chest 0.805 0.026 0.837 0.805 0.821 0.889 forearm 0.875 0.027 0.846 0.875 0.86 0.924 head 0.961 0.005 0.967 0.961 0.964 0.978 shin 0.906 0.013 0.919 0.906 0.912 0.947 thigh 0.766 0.028 0.82 0.766 0.792 0.869 upperarm 0.897 0.021 0.879 0.897 0.888 0.938 waist Weighted Avg. 0.878 0.02 0.878 0.878 0.878 0.929 === Confusion Matrix === a b c d e f g <-- classified as 436 6 5 0 3 10 4 | a = chest 4 371 25 1 7 18 35 | b = forearm 5 22 406 1 0 27 3 | c = head 3 1 1 446 7 6 0 | d = shin 5 9 5 11 406 7 5 | e = thigh 41 13 28 2 15 356 10 | f = upperarm 3 21 10 0 4 10 416 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 3 FOLD: 0 Correctly Classified Instances 2796 86.5635 % Incorrectly Classified Instances 434 13.4365 % Kappa statistic 0.8432 Mean absolute error 0.0384 Root mean squared error 0.1959 Relative absolute error 15.6763 % Root relative squared error 55.9934 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.925 0.018 0.896 0.925 0.91 0.953 chest 0.764 0.028 0.821 0.764 0.791 0.868 forearm 0.862 0.028 0.837 0.862 0.849 0.917 head 0.933 0.007 0.958 0.933 0.945 0.963 shin 0.873 0.012 0.92 0.873 0.896 0.93 thigh 0.804 0.032 0.809 0.804 0.806 0.886 upperarm 0.899 0.032 0.826 0.899 0.861 0.933 waist Weighted Avg. 0.866 0.022 0.866 0.866 0.865 0.922 === Confusion Matrix === a b c d e f g <-- classified as 429 2 5 3 3 20 2 | a = chest 5 353 33 3 3 19 46 | b = forearm 10 14 400 0 5 28 7 | c = head 3 2 2 433 11 6 7 | d = shin 5 12 5 11 391 11 13 | e = thigh 23 19 27 1 8 373 13 | f = upperarm 4 28 6 1 4 4 417 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2806 86.8731 % Incorrectly Classified Instances 424 13.1269 % Kappa statistic 0.8468 Mean absolute error 0.0375 Root mean squared error 0.1937 Relative absolute error 15.3151 % Root relative squared error 55.3446 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.918 0.024 0.866 0.918 0.891 0.947 chest 0.749 0.024 0.84 0.749 0.792 0.863 forearm 0.897 0.033 0.821 0.897 0.857 0.932 head 0.927 0.004 0.973 0.927 0.949 0.961 shin 0.882 0.014 0.912 0.882 0.897 0.934 thigh 0.797 0.034 0.797 0.797 0.797 0.882 upperarm 0.912 0.021 0.881 0.912 0.896 0.946 waist Weighted Avg. 0.869 0.022 0.87 0.869 0.868 0.923 === Confusion Matrix === a b c d e f g <-- classified as 426 2 8 1 5 20 2 | a = chest 7 346 40 2 8 21 38 | b = forearm 3 19 416 0 0 20 6 | c = head 6 2 6 430 8 10 2 | d = shin 12 12 5 8 395 16 0 | e = thigh 33 18 23 1 10 370 9 | f = upperarm 5 13 9 0 7 7 423 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2817 87.2136 % Incorrectly Classified Instances 413 12.7864 % Kappa statistic 0.8508 Mean absolute error 0.0365 Root mean squared error 0.1911 Relative absolute error 14.9178 % Root relative squared error 54.622 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.933 0.02 0.885 0.933 0.909 0.956 chest 0.76 0.028 0.82 0.76 0.789 0.866 forearm 0.86 0.03 0.83 0.86 0.844 0.915 head 0.955 0.003 0.982 0.955 0.968 0.976 shin 0.891 0.013 0.919 0.891 0.905 0.939 thigh 0.808 0.031 0.813 0.808 0.811 0.889 upperarm 0.899 0.025 0.858 0.899 0.878 0.937 waist Weighted Avg. 0.872 0.021 0.872 0.872 0.872 0.925 === Confusion Matrix === a b c d e f g <-- classified as 433 3 4 0 3 18 3 | a = chest 3 351 35 2 12 19 40 | b = forearm 8 14 399 0 1 34 8 | c = head 6 5 0 443 4 2 4 | d = shin 7 12 6 6 399 10 8 | e = thigh 27 11 31 0 14 375 6 | f = upperarm 5 32 6 0 1 3 417 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2813 87.0898 % Incorrectly Classified Instances 417 12.9102 % Kappa statistic 0.8494 Mean absolute error 0.0369 Root mean squared error 0.1921 Relative absolute error 15.0623 % Root relative squared error 54.8858 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.946 0.023 0.874 0.946 0.909 0.962 chest 0.747 0.027 0.823 0.747 0.783 0.86 forearm 0.886 0.028 0.842 0.886 0.863 0.929 head 0.935 0.005 0.969 0.935 0.952 0.965 shin 0.904 0.013 0.92 0.904 0.912 0.946 thigh 0.778 0.027 0.83 0.778 0.804 0.876 upperarm 0.901 0.029 0.839 0.901 0.869 0.936 waist Weighted Avg. 0.871 0.022 0.871 0.871 0.87 0.925 === Confusion Matrix === a b c d e f g <-- classified as 438 2 3 2 1 13 4 | a = chest 6 345 43 0 7 18 43 | b = forearm 6 13 411 0 1 26 7 | c = head 5 3 0 434 13 6 3 | d = shin 7 10 3 9 405 5 9 | e = thigh 36 16 24 2 11 362 14 | f = upperarm 3 30 4 1 2 6 418 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2829 87.5851 % Incorrectly Classified Instances 401 12.4149 % Kappa statistic 0.8552 Mean absolute error 0.0355 Root mean squared error 0.1883 Relative absolute error 14.4844 % Root relative squared error 53.8226 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.933 0.022 0.878 0.933 0.905 0.956 chest 0.762 0.028 0.819 0.762 0.789 0.867 forearm 0.879 0.024 0.861 0.879 0.87 0.928 head 0.95 0.006 0.963 0.95 0.957 0.972 shin 0.902 0.012 0.924 0.902 0.913 0.945 thigh 0.796 0.028 0.826 0.796 0.811 0.884 upperarm 0.909 0.025 0.859 0.909 0.884 0.942 waist Weighted Avg. 0.876 0.021 0.876 0.876 0.875 0.928 === Confusion Matrix === a b c d e f g <-- classified as 432 4 3 1 4 14 5 | a = chest 10 352 29 2 6 23 40 | b = forearm 4 21 408 1 1 22 7 | c = head 2 1 3 441 11 2 4 | d = shin 4 14 2 10 404 9 5 | e = thigh 33 17 26 2 9 370 8 | f = upperarm 7 21 3 1 2 8 422 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2855 88.3901 % Incorrectly Classified Instances 375 11.6099 % Kappa statistic 0.8645 Mean absolute error 0.0332 Root mean squared error 0.1821 Relative absolute error 13.5452 % Root relative squared error 52.0485 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.933 0.017 0.904 0.933 0.918 0.958 chest 0.781 0.024 0.843 0.781 0.811 0.878 forearm 0.886 0.026 0.851 0.886 0.868 0.93 head 0.948 0.004 0.974 0.948 0.961 0.972 shin 0.917 0.013 0.917 0.917 0.917 0.952 thigh 0.822 0.023 0.857 0.822 0.839 0.899 upperarm 0.901 0.028 0.844 0.901 0.872 0.937 waist Weighted Avg. 0.884 0.019 0.884 0.884 0.884 0.932 === Confusion Matrix === a b c d e f g <-- classified as 432 3 7 3 2 12 4 | a = chest 3 360 28 2 10 12 46 | b = forearm 7 16 411 0 2 19 9 | c = head 2 4 1 441 15 2 0 | d = shin 4 7 3 5 411 13 5 | e = thigh 23 11 27 2 7 382 13 | f = upperarm 7 26 6 0 1 6 418 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2845 88.0805 % Incorrectly Classified Instances 385 11.9195 % Kappa statistic 0.8609 Mean absolute error 0.0341 Root mean squared error 0.1845 Relative absolute error 13.9064 % Root relative squared error 52.7379 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.933 0.019 0.891 0.933 0.911 0.957 chest 0.785 0.026 0.834 0.785 0.809 0.88 forearm 0.879 0.023 0.863 0.879 0.871 0.928 head 0.959 0.004 0.978 0.959 0.969 0.978 shin 0.9 0.017 0.898 0.9 0.899 0.942 thigh 0.824 0.027 0.836 0.824 0.83 0.898 upperarm 0.886 0.023 0.865 0.886 0.875 0.931 waist Weighted Avg. 0.881 0.02 0.881 0.881 0.88 0.93 === Confusion Matrix === a b c d e f g <-- classified as 432 3 4 0 8 14 2 | a = chest 4 362 24 0 16 13 42 | b = forearm 7 14 408 0 5 22 8 | c = head 4 3 2 446 6 4 0 | d = shin 8 8 7 6 403 11 5 | e = thigh 26 14 23 4 8 383 7 | f = upperarm 4 30 5 0 3 11 411 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2836 87.8019 % Incorrectly Classified Instances 394 12.1981 % Kappa statistic 0.8577 Mean absolute error 0.0349 Root mean squared error 0.1867 Relative absolute error 14.2315 % Root relative squared error 53.3508 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.942 0.022 0.876 0.942 0.907 0.96 chest 0.772 0.021 0.862 0.772 0.815 0.876 forearm 0.912 0.025 0.858 0.912 0.884 0.943 head 0.938 0.008 0.954 0.938 0.946 0.965 shin 0.884 0.012 0.923 0.884 0.903 0.936 thigh 0.796 0.03 0.815 0.796 0.805 0.883 upperarm 0.903 0.024 0.862 0.903 0.882 0.939 waist Weighted Avg. 0.878 0.02 0.878 0.878 0.877 0.929 === Confusion Matrix === a b c d e f g <-- classified as 436 2 5 1 1 17 1 | a = chest 6 356 28 2 5 25 39 | b = forearm 5 14 423 0 0 17 5 | c = head 5 4 2 436 14 3 1 | d = shin 9 6 7 10 396 12 8 | e = thigh 36 11 21 7 7 370 13 | f = upperarm 1 20 7 1 6 10 419 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2877 89.0712 % Incorrectly Classified Instances 353 10.9288 % Kappa statistic 0.8725 Mean absolute error 0.0312 Root mean squared error 0.1767 Relative absolute error 12.7506 % Root relative squared error 50.4987 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.929 0.018 0.896 0.929 0.912 0.955 chest 0.818 0.027 0.836 0.818 0.827 0.896 forearm 0.873 0.02 0.879 0.873 0.876 0.926 head 0.942 0.004 0.978 0.942 0.959 0.969 shin 0.926 0.011 0.93 0.926 0.928 0.958 thigh 0.843 0.027 0.837 0.843 0.84 0.908 upperarm 0.905 0.02 0.882 0.905 0.894 0.942 waist Weighted Avg. 0.891 0.018 0.891 0.891 0.891 0.936 === Confusion Matrix === a b c d e f g <-- classified as 430 3 5 0 1 21 3 | a = chest 7 377 19 1 5 16 36 | b = forearm 9 16 406 1 2 28 3 | c = head 4 4 2 438 11 3 3 | d = shin 9 9 3 7 415 2 3 | e = thigh 14 21 21 1 8 391 8 | f = upperarm 7 21 6 0 4 6 420 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2817 87.2136 % Incorrectly Classified Instances 413 12.7864 % Kappa statistic 0.8508 Mean absolute error 0.0365 Root mean squared error 0.1911 Relative absolute error 14.9178 % Root relative squared error 54.6219 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.95 0.019 0.894 0.95 0.921 0.966 chest 0.742 0.026 0.827 0.742 0.782 0.858 forearm 0.864 0.029 0.835 0.864 0.85 0.918 head 0.946 0.006 0.963 0.946 0.954 0.97 shin 0.873 0.013 0.916 0.873 0.894 0.93 thigh 0.828 0.031 0.817 0.828 0.822 0.898 upperarm 0.901 0.026 0.855 0.901 0.877 0.938 waist Weighted Avg. 0.872 0.021 0.872 0.872 0.872 0.925 === Confusion Matrix === a b c d e f g <-- classified as 440 1 5 1 4 11 1 | a = chest 7 343 24 3 8 26 51 | b = forearm 5 17 401 1 4 27 9 | c = head 7 2 3 439 7 3 3 | d = shin 5 17 7 10 392 12 6 | e = thigh 22 15 30 2 10 384 1 | f = upperarm 6 20 10 0 3 7 418 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 4 FOLD: 0 Correctly Classified Instances 2862 88.6068 % Incorrectly Classified Instances 368 11.3932 % Kappa statistic 0.8671 Mean absolute error 0.0326 Root mean squared error 0.1804 Relative absolute error 13.2924 % Root relative squared error 51.5604 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.922 0.017 0.899 0.922 0.91 0.952 chest 0.784 0.021 0.864 0.784 0.822 0.881 forearm 0.905 0.022 0.871 0.905 0.888 0.941 head 0.961 0.009 0.945 0.961 0.953 0.976 shin 0.915 0.014 0.915 0.915 0.915 0.951 thigh 0.782 0.025 0.84 0.782 0.81 0.879 upperarm 0.933 0.025 0.864 0.933 0.897 0.954 waist Weighted Avg. 0.886 0.019 0.885 0.886 0.885 0.934 === Confusion Matrix === a b c d e f g <-- classified as 427 1 4 4 3 15 9 | a = chest 6 362 27 5 6 15 41 | b = forearm 3 11 420 0 3 25 2 | c = head 1 1 1 447 12 3 0 | d = shin 5 7 2 10 410 8 6 | e = thigh 29 22 21 6 13 363 10 | f = upperarm 4 15 7 1 1 3 433 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2829 87.5851 % Incorrectly Classified Instances 401 12.4149 % Kappa statistic 0.8552 Mean absolute error 0.0355 Root mean squared error 0.1883 Relative absolute error 14.4844 % Root relative squared error 53.8226 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.935 0.018 0.898 0.935 0.916 0.959 chest 0.764 0.026 0.829 0.764 0.795 0.869 forearm 0.873 0.022 0.867 0.873 0.87 0.925 head 0.929 0.005 0.966 0.929 0.947 0.962 shin 0.908 0.017 0.895 0.908 0.901 0.946 thigh 0.823 0.031 0.814 0.823 0.819 0.896 upperarm 0.899 0.024 0.862 0.899 0.88 0.937 waist Weighted Avg. 0.876 0.021 0.876 0.876 0.875 0.928 === Confusion Matrix === a b c d e f g <-- classified as 433 7 2 0 3 16 2 | a = chest 3 353 33 0 13 21 39 | b = forearm 5 17 405 1 2 27 7 | c = head 5 4 3 432 12 6 3 | d = shin 5 7 1 12 407 10 6 | e = thigh 26 17 18 1 10 382 10 | f = upperarm 5 21 5 1 8 7 417 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2827 87.5232 % Incorrectly Classified Instances 403 12.4768 % Kappa statistic 0.8544 Mean absolute error 0.0356 Root mean squared error 0.1888 Relative absolute error 14.5566 % Root relative squared error 53.9566 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.94 0.021 0.881 0.94 0.909 0.959 chest 0.779 0.027 0.828 0.779 0.803 0.876 forearm 0.873 0.028 0.84 0.873 0.856 0.923 head 0.94 0.007 0.96 0.94 0.95 0.967 shin 0.882 0.014 0.908 0.882 0.895 0.934 thigh 0.825 0.026 0.844 0.825 0.834 0.9 upperarm 0.888 0.023 0.867 0.888 0.878 0.933 waist Weighted Avg. 0.875 0.021 0.875 0.875 0.875 0.927 === Confusion Matrix === a b c d e f g <-- classified as 435 4 6 3 2 12 1 | a = chest 7 360 29 1 10 16 39 | b = forearm 11 18 405 1 2 20 7 | c = head 5 3 3 437 10 5 2 | d = shin 7 10 7 11 395 11 7 | e = thigh 26 13 23 2 10 383 7 | f = upperarm 3 27 9 0 6 7 412 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2819 87.2755 % Incorrectly Classified Instances 411 12.7245 % Kappa statistic 0.8515 Mean absolute error 0.0364 Root mean squared error 0.1907 Relative absolute error 14.8456 % Root relative squared error 54.4896 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.94 0.022 0.877 0.94 0.907 0.959 chest 0.76 0.024 0.84 0.76 0.798 0.868 forearm 0.86 0.026 0.847 0.86 0.853 0.917 head 0.951 0.007 0.959 0.951 0.955 0.972 shin 0.902 0.013 0.918 0.902 0.91 0.944 thigh 0.795 0.029 0.822 0.795 0.808 0.883 upperarm 0.903 0.027 0.846 0.903 0.874 0.938 waist Weighted Avg. 0.873 0.021 0.873 0.873 0.872 0.926 === Confusion Matrix === a b c d e f g <-- classified as 435 2 6 2 2 14 2 | a = chest 8 351 26 3 10 18 46 | b = forearm 5 18 399 0 3 26 13 | c = head 3 4 1 442 9 4 2 | d = shin 9 7 2 8 404 12 6 | e = thigh 30 15 29 5 9 369 7 | f = upperarm 6 21 8 1 3 6 419 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2865 88.6997 % Incorrectly Classified Instances 365 11.3003 % Kappa statistic 0.8682 Mean absolute error 0.0323 Root mean squared error 0.1797 Relative absolute error 13.184 % Root relative squared error 51.3498 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.944 0.017 0.905 0.944 0.924 0.964 chest 0.783 0.025 0.841 0.783 0.811 0.879 forearm 0.882 0.027 0.845 0.882 0.863 0.927 head 0.95 0.005 0.971 0.95 0.961 0.973 shin 0.897 0.015 0.907 0.897 0.902 0.941 thigh 0.821 0.021 0.868 0.821 0.844 0.9 upperarm 0.931 0.023 0.871 0.931 0.9 0.954 waist Weighted Avg. 0.887 0.019 0.887 0.887 0.886 0.934 === Confusion Matrix === a b c d e f g <-- classified as 438 1 5 0 2 15 3 | a = chest 4 361 37 4 12 9 34 | b = forearm 6 18 410 0 2 23 6 | c = head 6 2 1 441 10 1 3 | d = shin 2 17 5 7 402 8 7 | e = thigh 24 14 22 2 10 381 11 | f = upperarm 4 16 5 0 5 2 432 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2839 87.8947 % Incorrectly Classified Instances 391 12.1053 % Kappa statistic 0.8588 Mean absolute error 0.0346 Root mean squared error 0.186 Relative absolute error 14.1231 % Root relative squared error 53.1473 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.94 0.016 0.908 0.94 0.924 0.962 chest 0.785 0.027 0.826 0.785 0.805 0.879 forearm 0.879 0.023 0.866 0.879 0.873 0.928 head 0.925 0.004 0.975 0.925 0.949 0.96 shin 0.906 0.014 0.914 0.906 0.91 0.946 thigh 0.8 0.03 0.818 0.8 0.809 0.885 upperarm 0.918 0.027 0.849 0.918 0.882 0.945 waist Weighted Avg. 0.879 0.02 0.879 0.879 0.879 0.929 === Confusion Matrix === a b c d e f g <-- classified as 436 2 1 0 5 18 2 | a = chest 3 362 19 1 7 24 45 | b = forearm 6 18 408 3 2 23 4 | c = head 5 6 1 429 12 6 5 | d = shin 5 7 8 7 406 10 5 | e = thigh 23 19 28 0 8 372 15 | f = upperarm 2 24 6 0 4 2 426 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2820 87.3065 % Incorrectly Classified Instances 410 12.6935 % Kappa statistic 0.8519 Mean absolute error 0.0363 Root mean squared error 0.1904 Relative absolute error 14.8094 % Root relative squared error 54.4232 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.948 0.02 0.887 0.948 0.917 0.964 chest 0.768 0.033 0.797 0.768 0.782 0.868 forearm 0.897 0.023 0.865 0.897 0.88 0.937 head 0.959 0.005 0.969 0.959 0.964 0.977 shin 0.893 0.014 0.913 0.893 0.903 0.94 thigh 0.796 0.031 0.811 0.796 0.803 0.882 upperarm 0.851 0.022 0.866 0.851 0.859 0.915 waist Weighted Avg. 0.873 0.021 0.873 0.873 0.873 0.926 === Confusion Matrix === a b c d e f g <-- classified as 440 0 3 0 3 17 1 | a = chest 4 354 22 5 11 26 39 | b = forearm 9 11 416 0 2 22 4 | c = head 4 3 2 445 7 1 2 | d = shin 4 14 9 3 400 10 8 | e = thigh 28 22 23 5 10 370 7 | f = upperarm 7 40 6 1 5 10 395 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2812 87.0588 % Incorrectly Classified Instances 418 12.9412 % Kappa statistic 0.849 Mean absolute error 0.037 Root mean squared error 0.1923 Relative absolute error 15.0984 % Root relative squared error 54.9515 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.931 0.02 0.889 0.931 0.909 0.956 chest 0.753 0.025 0.832 0.753 0.79 0.864 forearm 0.871 0.031 0.824 0.871 0.847 0.92 head 0.942 0.006 0.963 0.942 0.952 0.968 shin 0.884 0.014 0.911 0.884 0.897 0.935 thigh 0.817 0.028 0.832 0.817 0.824 0.895 upperarm 0.897 0.027 0.847 0.897 0.871 0.935 waist Weighted Avg. 0.871 0.022 0.871 0.871 0.87 0.924 === Confusion Matrix === a b c d e f g <-- classified as 431 4 8 0 3 12 5 | a = chest 7 347 34 2 11 16 44 | b = forearm 9 14 404 1 2 25 9 | c = head 2 3 2 437 13 5 2 | d = shin 4 14 4 14 397 8 8 | e = thigh 26 10 34 0 8 380 7 | f = upperarm 6 25 4 0 2 11 416 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2837 87.8328 % Incorrectly Classified Instances 393 12.1672 % Kappa statistic 0.858 Mean absolute error 0.0348 Root mean squared error 0.1864 Relative absolute error 14.1954 % Root relative squared error 53.283 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.931 0.022 0.876 0.931 0.903 0.954 chest 0.781 0.023 0.851 0.781 0.815 0.879 forearm 0.899 0.027 0.846 0.899 0.871 0.936 head 0.953 0.004 0.976 0.953 0.964 0.974 shin 0.893 0.015 0.907 0.893 0.9 0.939 thigh 0.802 0.024 0.85 0.802 0.825 0.889 upperarm 0.89 0.027 0.846 0.89 0.868 0.931 waist Weighted Avg. 0.878 0.02 0.879 0.878 0.878 0.929 === Confusion Matrix === a b c d e f g <-- classified as 431 3 6 1 3 16 3 | a = chest 6 361 23 0 12 17 43 | b = forearm 6 16 417 0 4 13 8 | c = head 6 1 2 442 6 4 3 | d = shin 7 10 8 9 400 8 6 | e = thigh 29 13 28 1 9 373 12 | f = upperarm 7 20 9 0 7 8 413 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2820 87.3065 % Incorrectly Classified Instances 410 12.6935 % Kappa statistic 0.8519 Mean absolute error 0.0363 Root mean squared error 0.1904 Relative absolute error 14.8094 % Root relative squared error 54.4232 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.942 0.023 0.874 0.942 0.906 0.959 chest 0.758 0.033 0.795 0.758 0.776 0.863 forearm 0.851 0.026 0.844 0.851 0.848 0.912 head 0.931 0.004 0.977 0.931 0.954 0.964 shin 0.895 0.011 0.93 0.895 0.912 0.942 thigh 0.819 0.029 0.826 0.819 0.823 0.895 upperarm 0.916 0.023 0.869 0.916 0.892 0.946 waist Weighted Avg. 0.873 0.021 0.874 0.873 0.873 0.926 === Confusion Matrix === a b c d e f g <-- classified as 436 2 8 2 1 13 1 | a = chest 10 350 32 0 5 22 43 | b = forearm 6 28 395 0 0 27 8 | c = head 6 2 3 432 14 5 2 | d = shin 14 15 1 4 401 9 4 | e = thigh 25 15 26 4 8 381 6 | f = upperarm 2 28 3 0 2 4 425 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 5 FOLD: 0 Correctly Classified Instances 2833 87.709 % Incorrectly Classified Instances 397 12.291 % Kappa statistic 0.8566 Mean absolute error 0.0351 Root mean squared error 0.1874 Relative absolute error 14.3399 % Root relative squared error 53.5535 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.929 0.021 0.881 0.929 0.904 0.954 chest 0.755 0.027 0.823 0.755 0.788 0.864 forearm 0.901 0.024 0.862 0.901 0.881 0.938 head 0.957 0.004 0.978 0.957 0.967 0.977 shin 0.893 0.012 0.924 0.893 0.908 0.94 thigh 0.808 0.029 0.822 0.808 0.815 0.889 upperarm 0.897 0.026 0.851 0.897 0.873 0.935 waist Weighted Avg. 0.877 0.021 0.877 0.877 0.877 0.928 === Confusion Matrix === a b c d e f g <-- classified as 430 4 7 1 4 14 3 | a = chest 5 349 33 1 6 26 42 | b = forearm 7 8 418 1 1 23 6 | c = head 0 2 1 445 10 3 4 | d = shin 7 17 3 6 400 9 6 | e = thigh 35 16 18 1 7 375 12 | f = upperarm 4 28 5 0 5 6 416 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2809 86.9659 % Incorrectly Classified Instances 421 13.0341 % Kappa statistic 0.8479 Mean absolute error 0.0372 Root mean squared error 0.193 Relative absolute error 15.2068 % Root relative squared error 55.1485 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.931 0.022 0.874 0.931 0.902 0.954 chest 0.753 0.024 0.839 0.753 0.794 0.865 forearm 0.884 0.032 0.822 0.884 0.852 0.926 head 0.918 0.004 0.977 0.918 0.947 0.957 shin 0.906 0.015 0.908 0.906 0.907 0.946 thigh 0.782 0.022 0.854 0.782 0.817 0.88 upperarm 0.914 0.033 0.825 0.914 0.867 0.941 waist Weighted Avg. 0.87 0.022 0.871 0.87 0.869 0.924 === Confusion Matrix === a b c d e f g <-- classified as 432 1 7 1 2 15 6 | a = chest 4 348 31 3 11 14 51 | b = forearm 6 16 410 0 3 21 8 | c = head 4 3 8 426 16 3 4 | d = shin 5 15 4 5 406 6 7 | e = thigh 39 12 29 1 6 363 14 | f = upperarm 4 20 10 0 3 3 424 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2835 87.7709 % Incorrectly Classified Instances 395 12.2291 % Kappa statistic 0.8573 Mean absolute error 0.0349 Root mean squared error 0.1869 Relative absolute error 14.2676 % Root relative squared error 53.4184 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.907 0.015 0.911 0.907 0.909 0.946 chest 0.773 0.025 0.84 0.773 0.805 0.874 forearm 0.871 0.027 0.843 0.871 0.857 0.922 head 0.944 0.004 0.978 0.944 0.961 0.97 shin 0.917 0.012 0.926 0.917 0.922 0.953 thigh 0.815 0.032 0.811 0.815 0.813 0.891 upperarm 0.918 0.029 0.842 0.918 0.878 0.945 waist Weighted Avg. 0.878 0.02 0.879 0.878 0.878 0.929 === Confusion Matrix === a b c d e f g <-- classified as 421 2 8 0 2 27 4 | a = chest 6 357 30 2 7 11 49 | b = forearm 5 16 404 0 1 30 8 | c = head 1 2 1 438 9 5 8 | d = shin 6 11 0 7 411 9 4 | e = thigh 20 17 30 1 11 378 7 | f = upperarm 3 20 6 0 3 6 426 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2858 88.483 % Incorrectly Classified Instances 372 11.517 % Kappa statistic 0.8656 Mean absolute error 0.0329 Root mean squared error 0.1814 Relative absolute error 13.4369 % Root relative squared error 51.8399 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.944 0.016 0.907 0.944 0.925 0.964 chest 0.794 0.026 0.838 0.794 0.816 0.884 forearm 0.899 0.027 0.848 0.899 0.872 0.936 head 0.959 0.005 0.969 0.959 0.964 0.977 shin 0.884 0.012 0.921 0.884 0.902 0.936 thigh 0.791 0.028 0.827 0.791 0.808 0.882 upperarm 0.922 0.02 0.884 0.922 0.903 0.951 waist Weighted Avg. 0.885 0.019 0.885 0.885 0.884 0.933 === Confusion Matrix === a b c d e f g <-- classified as 438 2 4 1 4 13 2 | a = chest 4 367 34 1 7 18 31 | b = forearm 3 14 417 0 2 23 5 | c = head 4 1 1 445 6 6 1 | d = shin 5 14 3 11 396 12 7 | e = thigh 25 21 29 1 11 367 10 | f = upperarm 4 19 4 0 4 5 428 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2835 87.7709 % Incorrectly Classified Instances 395 12.2291 % Kappa statistic 0.8573 Mean absolute error 0.0349 Root mean squared error 0.1869 Relative absolute error 14.2676 % Root relative squared error 53.4184 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.944 0.017 0.903 0.944 0.923 0.963 chest 0.768 0.028 0.822 0.768 0.794 0.87 forearm 0.886 0.026 0.851 0.886 0.868 0.93 head 0.942 0.007 0.958 0.942 0.95 0.967 shin 0.897 0.015 0.903 0.897 0.9 0.941 thigh 0.815 0.025 0.848 0.815 0.831 0.895 upperarm 0.892 0.025 0.857 0.892 0.874 0.934 waist Weighted Avg. 0.878 0.02 0.877 0.878 0.877 0.929 === Confusion Matrix === a b c d e f g <-- classified as 437 2 2 2 5 14 1 | a = chest 4 355 31 1 11 18 42 | b = forearm 4 18 412 1 2 20 8 | c = head 4 4 3 437 12 2 2 | d = shin 3 12 10 10 402 4 7 | e = thigh 28 13 23 5 8 378 9 | f = upperarm 4 28 3 0 5 10 414 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2837 87.8328 % Incorrectly Classified Instances 393 12.1672 % Kappa statistic 0.858 Mean absolute error 0.0348 Root mean squared error 0.1864 Relative absolute error 14.1954 % Root relative squared error 53.283 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.942 0.023 0.872 0.942 0.906 0.959 chest 0.762 0.027 0.822 0.762 0.791 0.867 forearm 0.886 0.023 0.865 0.886 0.875 0.931 head 0.948 0.005 0.971 0.948 0.96 0.972 shin 0.915 0.013 0.921 0.915 0.918 0.951 thigh 0.783 0.024 0.848 0.783 0.814 0.88 upperarm 0.914 0.027 0.848 0.914 0.88 0.943 waist Weighted Avg. 0.878 0.02 0.878 0.878 0.878 0.929 === Confusion Matrix === a b c d e f g <-- classified as 436 3 4 1 3 13 3 | a = chest 8 352 30 1 4 17 50 | b = forearm 10 16 411 1 2 20 4 | c = head 5 2 1 440 10 4 2 | d = shin 5 9 3 6 410 8 7 | e = thigh 29 24 21 4 13 364 10 | f = upperarm 7 22 5 0 3 3 424 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2827 87.5232 % Incorrectly Classified Instances 403 12.4768 % Kappa statistic 0.8544 Mean absolute error 0.0356 Root mean squared error 0.1888 Relative absolute error 14.5566 % Root relative squared error 53.9566 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.933 0.018 0.896 0.933 0.914 0.957 chest 0.79 0.025 0.843 0.79 0.815 0.883 forearm 0.847 0.027 0.84 0.847 0.843 0.91 head 0.946 0.007 0.956 0.946 0.951 0.969 shin 0.9 0.013 0.918 0.9 0.909 0.943 thigh 0.806 0.027 0.831 0.806 0.819 0.889 upperarm 0.905 0.028 0.843 0.905 0.873 0.938 waist Weighted Avg. 0.875 0.021 0.875 0.875 0.875 0.927 === Confusion Matrix === a b c d e f g <-- classified as 432 2 4 2 3 16 4 | a = chest 6 364 34 0 6 11 40 | b = forearm 10 16 393 1 4 28 12 | c = head 5 0 0 439 12 5 3 | d = shin 7 12 3 10 404 7 6 | e = thigh 18 16 26 7 10 375 13 | f = upperarm 4 22 8 0 1 9 420 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2843 88.0186 % Incorrectly Classified Instances 387 11.9814 % Kappa statistic 0.8602 Mean absolute error 0.0342 Root mean squared error 0.185 Relative absolute error 13.9787 % Root relative squared error 52.8747 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.924 0.013 0.92 0.924 0.922 0.956 chest 0.792 0.023 0.853 0.792 0.821 0.885 forearm 0.877 0.019 0.885 0.877 0.881 0.929 head 0.938 0.008 0.952 0.938 0.945 0.965 shin 0.884 0.017 0.892 0.884 0.888 0.933 thigh 0.824 0.032 0.813 0.824 0.818 0.896 upperarm 0.922 0.027 0.849 0.922 0.884 0.947 waist Weighted Avg. 0.88 0.02 0.881 0.88 0.88 0.93 === Confusion Matrix === a b c d e f g <-- classified as 428 4 2 2 5 19 3 | a = chest 1 365 19 2 11 18 45 | b = forearm 5 13 407 2 3 28 6 | c = head 2 3 0 436 14 3 7 | d = shin 5 5 6 12 396 14 10 | e = thigh 21 16 23 4 13 383 5 | f = upperarm 3 22 3 0 2 6 428 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2814 87.1207 % Incorrectly Classified Instances 416 12.8793 % Kappa statistic 0.8497 Mean absolute error 0.0368 Root mean squared error 0.1918 Relative absolute error 15.0262 % Root relative squared error 54.82 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.942 0.018 0.897 0.942 0.919 0.962 chest 0.751 0.03 0.805 0.751 0.777 0.86 forearm 0.86 0.025 0.854 0.86 0.857 0.918 head 0.927 0.005 0.969 0.927 0.947 0.961 shin 0.891 0.011 0.928 0.891 0.909 0.94 thigh 0.837 0.031 0.817 0.837 0.827 0.903 upperarm 0.892 0.03 0.835 0.892 0.862 0.931 waist Weighted Avg. 0.871 0.022 0.872 0.871 0.871 0.925 === Confusion Matrix === a b c d e f g <-- classified as 436 1 3 1 0 19 3 | a = chest 6 346 24 4 9 20 52 | b = forearm 8 25 399 0 2 23 7 | c = head 6 3 6 431 11 6 2 | d = shin 4 11 5 8 399 11 10 | e = thigh 22 17 23 1 5 389 8 | f = upperarm 4 27 7 0 4 8 414 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2814 87.1207 % Incorrectly Classified Instances 416 12.8793 % Kappa statistic 0.8497 Mean absolute error 0.0368 Root mean squared error 0.1918 Relative absolute error 15.0262 % Root relative squared error 54.82 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.927 0.023 0.87 0.927 0.897 0.952 chest 0.764 0.028 0.819 0.764 0.79 0.868 forearm 0.864 0.029 0.834 0.864 0.849 0.918 head 0.959 0.005 0.972 0.959 0.965 0.977 shin 0.888 0.013 0.919 0.888 0.904 0.938 thigh 0.796 0.026 0.839 0.796 0.817 0.885 upperarm 0.901 0.027 0.848 0.901 0.874 0.937 waist Weighted Avg. 0.871 0.022 0.871 0.871 0.871 0.925 === Confusion Matrix === a b c d e f g <-- classified as 429 6 4 3 3 10 8 | a = chest 4 352 27 1 8 26 43 | b = forearm 12 23 401 0 1 19 8 | c = head 3 4 1 446 8 3 0 | d = shin 5 10 9 8 398 10 8 | e = thigh 34 12 31 1 9 370 8 | f = upperarm 6 23 8 0 6 3 418 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 6 FOLD: 0 Correctly Classified Instances 2855 88.3901 % Incorrectly Classified Instances 375 11.6099 % Kappa statistic 0.8645 Mean absolute error 0.0332 Root mean squared error 0.1821 Relative absolute error 13.5452 % Root relative squared error 52.0485 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.963 0.016 0.912 0.963 0.937 0.974 chest 0.772 0.021 0.858 0.772 0.813 0.875 forearm 0.884 0.025 0.856 0.884 0.87 0.929 head 0.942 0.008 0.95 0.942 0.946 0.967 shin 0.904 0.01 0.933 0.904 0.918 0.947 thigh 0.813 0.03 0.818 0.813 0.816 0.891 upperarm 0.909 0.025 0.861 0.909 0.885 0.942 waist Weighted Avg. 0.884 0.019 0.884 0.884 0.883 0.932 === Confusion Matrix === a b c d e f g <-- classified as 447 1 3 3 2 8 0 | a = chest 2 356 28 3 9 23 40 | b = forearm 2 21 410 0 1 27 3 | c = head 4 2 2 437 7 8 4 | d = shin 9 2 3 13 405 12 4 | e = thigh 21 14 25 4 6 378 17 | f = upperarm 5 19 8 0 4 6 422 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2835 87.7709 % Incorrectly Classified Instances 395 12.2291 % Kappa statistic 0.8573 Mean absolute error 0.0349 Root mean squared error 0.1869 Relative absolute error 14.2676 % Root relative squared error 53.4184 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.905 0.018 0.896 0.905 0.9 0.944 chest 0.774 0.023 0.848 0.774 0.81 0.876 forearm 0.884 0.028 0.84 0.884 0.861 0.928 head 0.953 0.005 0.971 0.953 0.962 0.974 shin 0.875 0.01 0.931 0.875 0.902 0.932 thigh 0.83 0.033 0.811 0.83 0.82 0.899 upperarm 0.922 0.026 0.856 0.922 0.888 0.948 waist Weighted Avg. 0.878 0.02 0.879 0.878 0.878 0.929 === Confusion Matrix === a b c d e f g <-- classified as 420 4 11 4 2 19 4 | a = chest 4 357 24 0 8 22 46 | b = forearm 5 15 410 0 3 23 8 | c = head 2 2 2 442 9 7 0 | d = shin 11 13 4 9 392 11 8 | e = thigh 26 13 29 0 5 386 6 | f = upperarm 1 17 8 0 2 8 428 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2831 87.6471 % Incorrectly Classified Instances 399 12.3529 % Kappa statistic 0.8559 Mean absolute error 0.0353 Root mean squared error 0.1879 Relative absolute error 14.4121 % Root relative squared error 53.6882 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.927 0.014 0.915 0.927 0.921 0.956 chest 0.764 0.025 0.835 0.764 0.798 0.869 forearm 0.856 0.022 0.867 0.856 0.861 0.917 head 0.948 0.003 0.984 0.948 0.966 0.973 shin 0.917 0.01 0.934 0.917 0.926 0.953 thigh 0.836 0.04 0.779 0.836 0.807 0.898 upperarm 0.888 0.03 0.834 0.888 0.86 0.929 waist Weighted Avg. 0.876 0.021 0.878 0.876 0.877 0.928 === Confusion Matrix === a b c d e f g <-- classified as 430 1 2 0 2 27 2 | a = chest 7 353 28 2 6 18 48 | b = forearm 5 19 397 0 1 32 10 | c = head 1 3 2 440 8 7 3 | d = shin 1 8 2 4 411 15 7 | e = thigh 22 7 24 0 11 388 12 | f = upperarm 4 32 3 1 1 11 412 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2830 87.6161 % Incorrectly Classified Instances 400 12.3839 % Kappa statistic 0.8555 Mean absolute error 0.0354 Root mean squared error 0.1881 Relative absolute error 14.4482 % Root relative squared error 53.7554 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.931 0.021 0.881 0.931 0.905 0.955 chest 0.764 0.031 0.802 0.764 0.783 0.866 forearm 0.879 0.027 0.845 0.879 0.862 0.926 head 0.946 0.003 0.982 0.946 0.964 0.972 shin 0.915 0.014 0.915 0.915 0.915 0.951 thigh 0.793 0.024 0.848 0.793 0.82 0.885 upperarm 0.905 0.025 0.861 0.905 0.882 0.94 waist Weighted Avg. 0.876 0.021 0.876 0.876 0.876 0.928 === Confusion Matrix === a b c d e f g <-- classified as 431 5 6 1 2 15 3 | a = chest 4 353 30 2 17 18 38 | b = forearm 6 19 408 0 2 20 9 | c = head 5 6 2 440 7 1 4 | d = shin 5 12 5 2 410 6 8 | e = thigh 31 20 27 3 9 368 6 | f = upperarm 7 25 5 0 1 6 420 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2859 88.5139 % Incorrectly Classified Instances 371 11.4861 % Kappa statistic 0.866 Mean absolute error 0.0328 Root mean squared error 0.1812 Relative absolute error 13.4007 % Root relative squared error 51.7701 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.959 0.023 0.874 0.959 0.915 0.968 chest 0.784 0.02 0.868 0.784 0.824 0.882 forearm 0.879 0.027 0.843 0.879 0.861 0.926 head 0.948 0.007 0.961 0.948 0.955 0.971 shin 0.92 0.015 0.909 0.92 0.915 0.952 thigh 0.795 0.02 0.87 0.795 0.831 0.888 upperarm 0.912 0.022 0.872 0.912 0.891 0.945 waist Weighted Avg. 0.885 0.019 0.885 0.885 0.884 0.933 === Confusion Matrix === a b c d e f g <-- classified as 444 2 5 0 1 9 2 | a = chest 8 362 29 3 8 14 38 | b = forearm 12 14 408 2 0 22 6 | c = head 5 0 1 441 15 1 2 | d = shin 3 8 6 10 412 5 4 | e = thigh 30 15 28 2 10 369 10 | f = upperarm 6 16 7 1 7 4 423 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2857 88.452 % Incorrectly Classified Instances 373 11.548 % Kappa statistic 0.8653 Mean absolute error 0.033 Root mean squared error 0.1816 Relative absolute error 13.473 % Root relative squared error 51.9095 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.935 0.016 0.906 0.935 0.92 0.959 chest 0.773 0.022 0.854 0.773 0.811 0.875 forearm 0.89 0.025 0.857 0.89 0.873 0.933 head 0.929 0.004 0.973 0.929 0.95 0.962 shin 0.913 0.013 0.921 0.913 0.917 0.95 thigh 0.834 0.027 0.838 0.834 0.836 0.903 upperarm 0.918 0.027 0.849 0.918 0.882 0.945 waist Weighted Avg. 0.885 0.019 0.885 0.885 0.884 0.933 === Confusion Matrix === a b c d e f g <-- classified as 433 2 5 1 2 18 2 | a = chest 4 357 28 2 5 13 53 | b = forearm 5 12 413 0 4 24 6 | c = head 7 4 4 432 12 4 2 | d = shin 4 6 3 7 409 11 8 | e = thigh 22 15 23 2 10 387 5 | f = upperarm 3 22 6 0 2 5 426 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2832 87.678 % Incorrectly Classified Instances 398 12.322 % Kappa statistic 0.8562 Mean absolute error 0.0352 Root mean squared error 0.1876 Relative absolute error 14.376 % Root relative squared error 53.6209 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.94 0.023 0.873 0.94 0.905 0.958 chest 0.779 0.027 0.828 0.779 0.803 0.876 forearm 0.897 0.025 0.858 0.897 0.877 0.936 head 0.935 0.006 0.962 0.935 0.949 0.965 shin 0.871 0.013 0.915 0.871 0.892 0.929 thigh 0.8 0.027 0.832 0.8 0.815 0.886 upperarm 0.916 0.023 0.871 0.916 0.893 0.947 waist Weighted Avg. 0.877 0.021 0.877 0.877 0.876 0.928 === Confusion Matrix === a b c d e f g <-- classified as 435 6 4 0 2 15 1 | a = chest 3 360 31 3 9 19 37 | b = forearm 10 13 416 2 2 14 7 | c = head 4 2 1 435 15 5 3 | d = shin 6 16 6 7 390 16 7 | e = thigh 36 17 22 5 5 371 8 | f = upperarm 4 21 5 0 3 6 425 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2802 86.7492 % Incorrectly Classified Instances 428 13.2508 % Kappa statistic 0.8454 Mean absolute error 0.0379 Root mean squared error 0.1946 Relative absolute error 15.4596 % Root relative squared error 55.605 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.911 0.022 0.872 0.911 0.891 0.945 chest 0.758 0.028 0.82 0.758 0.787 0.865 forearm 0.877 0.025 0.853 0.877 0.865 0.926 head 0.946 0.006 0.963 0.946 0.954 0.97 shin 0.891 0.017 0.897 0.891 0.894 0.937 thigh 0.791 0.029 0.821 0.791 0.806 0.881 upperarm 0.899 0.027 0.846 0.899 0.871 0.936 waist Weighted Avg. 0.867 0.022 0.867 0.867 0.867 0.923 === Confusion Matrix === a b c d e f g <-- classified as 422 2 5 0 9 20 5 | a = chest 9 350 33 2 8 19 41 | b = forearm 9 12 407 1 0 25 10 | c = head 1 1 2 439 14 4 3 | d = shin 12 11 3 10 399 8 5 | e = thigh 25 22 23 4 11 368 12 | f = upperarm 6 29 4 0 4 4 417 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2820 87.3065 % Incorrectly Classified Instances 410 12.6935 % Kappa statistic 0.8519 Mean absolute error 0.0363 Root mean squared error 0.1904 Relative absolute error 14.8094 % Root relative squared error 54.4232 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.937 0.019 0.893 0.937 0.915 0.959 chest 0.759 0.027 0.824 0.759 0.79 0.866 forearm 0.877 0.027 0.846 0.877 0.862 0.925 head 0.966 0.007 0.961 0.966 0.963 0.98 shin 0.886 0.011 0.93 0.886 0.907 0.938 thigh 0.789 0.029 0.821 0.789 0.805 0.88 upperarm 0.897 0.029 0.837 0.897 0.866 0.934 waist Weighted Avg. 0.873 0.021 0.873 0.873 0.872 0.926 === Confusion Matrix === a b c d e f g <-- classified as 434 3 5 3 0 9 9 | a = chest 7 350 32 1 4 22 45 | b = forearm 6 15 408 0 1 29 6 | c = head 2 0 0 448 5 4 5 | d = shin 2 13 7 10 397 11 8 | e = thigh 30 17 24 4 15 367 8 | f = upperarm 5 27 6 0 5 5 416 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2797 86.5944 % Incorrectly Classified Instances 433 13.4056 % Kappa statistic 0.8436 Mean absolute error 0.0383 Root mean squared error 0.1957 Relative absolute error 15.6402 % Root relative squared error 55.9288 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.942 0.021 0.883 0.942 0.911 0.96 chest 0.746 0.031 0.798 0.746 0.771 0.857 forearm 0.866 0.028 0.839 0.866 0.853 0.919 head 0.942 0.005 0.967 0.942 0.954 0.968 shin 0.88 0.014 0.912 0.88 0.896 0.933 thigh 0.787 0.028 0.824 0.787 0.805 0.879 upperarm 0.899 0.029 0.839 0.899 0.868 0.935 waist Weighted Avg. 0.866 0.022 0.866 0.866 0.865 0.922 === Confusion Matrix === a b c d e f g <-- classified as 436 2 7 0 6 8 4 | a = chest 6 344 27 3 10 26 45 | b = forearm 6 21 402 0 4 22 9 | c = head 5 4 2 437 8 5 3 | d = shin 6 15 7 8 395 9 9 | e = thigh 30 18 29 4 8 366 10 | f = upperarm 5 27 5 0 2 8 417 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 7 FOLD: 0 Correctly Classified Instances 2820 87.3065 % Incorrectly Classified Instances 410 12.6935 % Kappa statistic 0.8519 Mean absolute error 0.0363 Root mean squared error 0.1904 Relative absolute error 14.8094 % Root relative squared error 54.4232 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.94 0.02 0.888 0.94 0.913 0.96 chest 0.742 0.029 0.813 0.742 0.776 0.857 forearm 0.866 0.025 0.854 0.866 0.86 0.921 head 0.946 0.004 0.973 0.946 0.96 0.971 shin 0.902 0.012 0.927 0.902 0.914 0.945 thigh 0.813 0.026 0.84 0.813 0.826 0.893 upperarm 0.903 0.033 0.822 0.903 0.86 0.935 waist Weighted Avg. 0.873 0.021 0.873 0.873 0.873 0.926 === Confusion Matrix === a b c d e f g <-- classified as 436 4 3 1 2 16 2 | a = chest 4 343 33 4 11 15 52 | b = forearm 9 18 402 0 2 22 11 | c = head 3 3 1 439 8 5 5 | d = shin 5 13 3 5 404 6 12 | e = thigh 29 18 20 2 9 377 9 | f = upperarm 5 23 9 0 0 8 419 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2859 88.5139 % Incorrectly Classified Instances 371 11.4861 % Kappa statistic 0.866 Mean absolute error 0.0328 Root mean squared error 0.1812 Relative absolute error 13.4007 % Root relative squared error 51.7701 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.931 0.016 0.906 0.931 0.918 0.957 chest 0.805 0.021 0.863 0.805 0.833 0.892 forearm 0.873 0.029 0.833 0.873 0.853 0.922 head 0.966 0.005 0.972 0.966 0.969 0.98 shin 0.897 0.01 0.933 0.897 0.915 0.943 thigh 0.825 0.029 0.829 0.825 0.827 0.898 upperarm 0.899 0.023 0.865 0.899 0.882 0.938 waist Weighted Avg. 0.885 0.019 0.886 0.885 0.885 0.933 === Confusion Matrix === a b c d e f g <-- classified as 432 3 6 1 6 14 2 | a = chest 4 372 28 0 6 16 36 | b = forearm 7 14 405 0 1 26 11 | c = head 2 1 3 448 6 1 3 | d = shin 9 8 4 8 402 14 3 | e = thigh 19 9 32 4 7 383 10 | f = upperarm 4 24 8 0 3 8 417 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2830 87.6161 % Incorrectly Classified Instances 400 12.3839 % Kappa statistic 0.8555 Mean absolute error 0.0354 Root mean squared error 0.1881 Relative absolute error 14.4482 % Root relative squared error 53.7554 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.925 0.021 0.879 0.925 0.901 0.952 chest 0.771 0.024 0.844 0.771 0.805 0.873 forearm 0.884 0.021 0.876 0.884 0.88 0.931 head 0.95 0.004 0.976 0.95 0.963 0.973 shin 0.886 0.013 0.919 0.886 0.902 0.937 thigh 0.795 0.034 0.797 0.795 0.796 0.881 upperarm 0.922 0.028 0.848 0.922 0.883 0.947 waist Weighted Avg. 0.876 0.021 0.877 0.876 0.876 0.928 === Confusion Matrix === a b c d e f g <-- classified as 429 2 3 0 4 24 2 | a = chest 4 356 28 2 11 15 46 | b = forearm 7 16 410 0 1 24 6 | c = head 4 3 0 441 9 4 3 | d = shin 6 7 4 9 397 16 9 | e = thigh 36 18 21 0 9 369 11 | f = upperarm 2 20 2 0 1 11 428 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2831 87.6471 % Incorrectly Classified Instances 399 12.3529 % Kappa statistic 0.8559 Mean absolute error 0.0353 Root mean squared error 0.1879 Relative absolute error 14.4121 % Root relative squared error 53.6882 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.935 0.017 0.902 0.935 0.918 0.959 chest 0.784 0.026 0.836 0.784 0.809 0.879 forearm 0.888 0.032 0.824 0.888 0.855 0.928 head 0.938 0.005 0.971 0.938 0.954 0.966 shin 0.911 0.013 0.917 0.911 0.914 0.949 thigh 0.791 0.028 0.827 0.791 0.808 0.882 upperarm 0.89 0.024 0.862 0.89 0.876 0.933 waist Weighted Avg. 0.876 0.021 0.877 0.876 0.876 0.928 === Confusion Matrix === a b c d e f g <-- classified as 433 3 8 0 2 15 2 | a = chest 5 362 32 3 8 15 37 | b = forearm 8 11 413 0 1 23 9 | c = head 3 2 3 435 13 6 2 | d = shin 3 8 6 8 408 11 4 | e = thigh 22 18 35 2 8 367 12 | f = upperarm 6 29 4 0 5 7 413 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2805 86.8421 % Incorrectly Classified Instances 425 13.1579 % Kappa statistic 0.8465 Mean absolute error 0.0376 Root mean squared error 0.1939 Relative absolute error 15.3512 % Root relative squared error 55.4098 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.935 0.021 0.882 0.935 0.908 0.957 chest 0.74 0.032 0.795 0.74 0.767 0.854 forearm 0.86 0.027 0.84 0.86 0.85 0.916 head 0.938 0.004 0.975 0.938 0.956 0.967 shin 0.908 0.016 0.902 0.908 0.905 0.946 thigh 0.815 0.025 0.846 0.815 0.83 0.895 upperarm 0.884 0.029 0.838 0.884 0.86 0.928 waist Weighted Avg. 0.868 0.022 0.868 0.868 0.868 0.923 === Confusion Matrix === a b c d e f g <-- classified as 433 3 6 1 5 14 1 | a = chest 4 342 32 1 9 24 50 | b = forearm 8 24 399 1 4 21 7 | c = head 5 4 1 435 14 4 1 | d = shin 6 14 3 7 407 3 8 | e = thigh 25 18 23 1 7 379 12 | f = upperarm 10 25 11 0 5 3 410 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2829 87.5851 % Incorrectly Classified Instances 401 12.4149 % Kappa statistic 0.8552 Mean absolute error 0.0355 Root mean squared error 0.1883 Relative absolute error 14.4844 % Root relative squared error 53.8226 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.955 0.022 0.879 0.955 0.915 0.966 chest 0.753 0.028 0.819 0.753 0.785 0.863 forearm 0.886 0.025 0.858 0.886 0.872 0.931 head 0.94 0.006 0.965 0.94 0.952 0.967 shin 0.886 0.013 0.917 0.886 0.901 0.937 thigh 0.806 0.028 0.83 0.806 0.818 0.889 upperarm 0.905 0.024 0.864 0.905 0.884 0.941 waist Weighted Avg. 0.876 0.021 0.876 0.876 0.875 0.928 === Confusion Matrix === a b c d e f g <-- classified as 442 1 6 1 1 8 4 | a = chest 12 348 22 2 12 25 41 | b = forearm 8 14 411 1 2 21 7 | c = head 6 3 2 436 9 5 3 | d = shin 4 14 5 9 397 14 5 | e = thigh 24 22 27 3 8 375 6 | f = upperarm 7 23 6 0 4 4 420 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2829 87.5851 % Incorrectly Classified Instances 401 12.4149 % Kappa statistic 0.8552 Mean absolute error 0.0355 Root mean squared error 0.1883 Relative absolute error 14.4844 % Root relative squared error 53.8226 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.929 0.019 0.892 0.929 0.91 0.955 chest 0.794 0.026 0.834 0.794 0.813 0.884 forearm 0.873 0.029 0.835 0.873 0.854 0.922 head 0.925 0.004 0.977 0.925 0.95 0.961 shin 0.893 0.013 0.917 0.893 0.905 0.94 thigh 0.819 0.027 0.837 0.819 0.828 0.896 upperarm 0.899 0.027 0.846 0.899 0.871 0.936 waist Weighted Avg. 0.876 0.021 0.877 0.876 0.876 0.928 === Confusion Matrix === a b c d e f g <-- classified as 430 4 7 2 1 16 3 | a = chest 3 366 26 1 5 15 45 | b = forearm 8 17 405 0 2 24 8 | c = head 3 5 2 430 14 8 3 | d = shin 7 10 10 7 400 8 6 | e = thigh 26 11 26 0 10 381 11 | f = upperarm 5 26 9 0 4 3 417 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2831 87.6471 % Incorrectly Classified Instances 399 12.3529 % Kappa statistic 0.8559 Mean absolute error 0.0353 Root mean squared error 0.1879 Relative absolute error 14.4121 % Root relative squared error 53.6882 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.931 0.021 0.883 0.931 0.906 0.955 chest 0.77 0.027 0.828 0.77 0.798 0.872 forearm 0.869 0.025 0.854 0.869 0.861 0.922 head 0.94 0.005 0.967 0.94 0.953 0.967 shin 0.886 0.014 0.913 0.886 0.899 0.936 thigh 0.83 0.029 0.827 0.83 0.828 0.9 upperarm 0.909 0.023 0.867 0.909 0.887 0.943 waist Weighted Avg. 0.876 0.021 0.877 0.876 0.876 0.928 === Confusion Matrix === a b c d e f g <-- classified as 431 3 4 2 0 18 5 | a = chest 7 355 28 2 11 21 37 | b = forearm 5 22 403 0 2 25 7 | c = head 2 3 3 437 9 5 6 | d = shin 9 12 8 8 397 8 6 | e = thigh 29 9 21 3 13 386 4 | f = upperarm 5 25 5 0 3 4 422 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2838 87.8638 % Incorrectly Classified Instances 392 12.1362 % Kappa statistic 0.8584 Mean absolute error 0.0347 Root mean squared error 0.1862 Relative absolute error 14.1593 % Root relative squared error 53.2152 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.94 0.02 0.886 0.94 0.912 0.96 chest 0.764 0.021 0.859 0.764 0.808 0.871 forearm 0.884 0.031 0.828 0.884 0.855 0.926 head 0.951 0.007 0.959 0.951 0.955 0.972 shin 0.9 0.01 0.937 0.9 0.918 0.945 thigh 0.8 0.029 0.825 0.8 0.812 0.886 upperarm 0.914 0.025 0.862 0.914 0.887 0.945 waist Weighted Avg. 0.879 0.02 0.879 0.879 0.878 0.929 === Confusion Matrix === a b c d e f g <-- classified as 435 2 5 1 3 13 4 | a = chest 4 352 36 0 3 27 39 | b = forearm 5 11 410 1 3 26 8 | c = head 7 2 3 442 7 3 1 | d = shin 10 8 1 13 403 4 9 | e = thigh 27 14 34 3 8 372 7 | f = upperarm 3 21 6 1 3 6 424 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2844 88.0495 % Incorrectly Classified Instances 386 11.9505 % Kappa statistic 0.8606 Mean absolute error 0.0341 Root mean squared error 0.1848 Relative absolute error 13.9425 % Root relative squared error 52.8063 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.946 0.022 0.878 0.946 0.911 0.962 chest 0.757 0.02 0.864 0.757 0.807 0.869 forearm 0.892 0.024 0.863 0.892 0.877 0.934 head 0.938 0.007 0.958 0.938 0.948 0.965 shin 0.898 0.011 0.931 0.898 0.914 0.943 thigh 0.81 0.026 0.837 0.81 0.824 0.892 upperarm 0.922 0.03 0.839 0.922 0.879 0.946 waist Weighted Avg. 0.88 0.02 0.881 0.88 0.88 0.93 === Confusion Matrix === a b c d e f g <-- classified as 438 2 4 2 1 11 5 | a = chest 5 349 35 1 6 15 50 | b = forearm 5 18 414 1 0 24 2 | c = head 5 0 3 436 15 3 3 | d = shin 8 7 4 9 403 9 9 | e = thigh 35 14 16 4 6 376 13 | f = upperarm 3 14 4 2 2 11 428 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 8 FOLD: 0 Correctly Classified Instances 2854 88.3591 % Incorrectly Classified Instances 376 11.6409 % Kappa statistic 0.8642 Mean absolute error 0.0333 Root mean squared error 0.1824 Relative absolute error 13.5813 % Root relative squared error 52.1177 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.946 0.016 0.909 0.946 0.927 0.965 chest 0.755 0.026 0.827 0.755 0.79 0.865 forearm 0.881 0.027 0.843 0.881 0.862 0.927 head 0.948 0.007 0.961 0.948 0.954 0.971 shin 0.92 0.015 0.906 0.92 0.913 0.952 thigh 0.832 0.022 0.864 0.832 0.847 0.905 upperarm 0.903 0.022 0.873 0.903 0.888 0.94 waist Weighted Avg. 0.884 0.019 0.883 0.884 0.883 0.932 === Confusion Matrix === a b c d e f g <-- classified as 438 4 7 1 4 8 1 | a = chest 6 349 33 5 12 17 40 | b = forearm 5 18 409 2 3 20 7 | c = head 1 4 1 440 13 2 3 | d = shin 1 12 3 7 413 9 4 | e = thigh 22 15 25 2 8 386 6 | f = upperarm 9 20 7 1 3 5 419 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2829 87.5851 % Incorrectly Classified Instances 401 12.4149 % Kappa statistic 0.8552 Mean absolute error 0.0355 Root mean squared error 0.1883 Relative absolute error 14.4843 % Root relative squared error 53.8226 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.94 0.017 0.901 0.94 0.92 0.961 chest 0.751 0.024 0.838 0.751 0.792 0.863 forearm 0.888 0.031 0.829 0.888 0.858 0.929 head 0.948 0.004 0.976 0.948 0.962 0.972 shin 0.9 0.012 0.924 0.9 0.912 0.944 thigh 0.806 0.03 0.82 0.806 0.813 0.888 upperarm 0.899 0.027 0.848 0.899 0.872 0.936 waist Weighted Avg. 0.876 0.021 0.876 0.876 0.875 0.928 === Confusion Matrix === a b c d e f g <-- classified as 435 2 4 1 3 14 4 | a = chest 7 347 34 1 8 24 41 | b = forearm 4 9 413 0 5 24 10 | c = head 2 3 4 440 7 6 2 | d = shin 4 14 7 6 403 8 6 | e = thigh 27 13 28 3 7 374 12 | f = upperarm 4 26 8 0 3 6 417 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2832 87.678 % Incorrectly Classified Instances 398 12.322 % Kappa statistic 0.8562 Mean absolute error 0.0352 Root mean squared error 0.1876 Relative absolute error 14.376 % Root relative squared error 53.6209 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.953 0.018 0.897 0.953 0.924 0.967 chest 0.751 0.025 0.834 0.751 0.79 0.863 forearm 0.884 0.027 0.844 0.884 0.863 0.928 head 0.955 0.005 0.967 0.955 0.961 0.975 shin 0.908 0.013 0.919 0.908 0.914 0.948 thigh 0.782 0.023 0.848 0.782 0.814 0.879 upperarm 0.905 0.031 0.83 0.905 0.866 0.937 waist Weighted Avg. 0.877 0.021 0.877 0.877 0.876 0.928 === Confusion Matrix === a b c d e f g <-- classified as 442 2 1 1 2 12 4 | a = chest 5 347 24 1 12 16 57 | b = forearm 7 19 410 0 2 22 4 | c = head 4 2 2 443 9 1 3 | d = shin 6 10 7 8 407 5 5 | e = thigh 23 13 38 5 9 363 13 | f = upperarm 6 23 4 0 2 9 420 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2817 87.2136 % Incorrectly Classified Instances 413 12.7864 % Kappa statistic 0.8508 Mean absolute error 0.0365 Root mean squared error 0.1911 Relative absolute error 14.9178 % Root relative squared error 54.622 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.933 0.026 0.857 0.933 0.894 0.954 chest 0.777 0.023 0.847 0.777 0.81 0.877 forearm 0.864 0.024 0.859 0.864 0.861 0.92 head 0.922 0.005 0.971 0.922 0.946 0.959 shin 0.911 0.017 0.897 0.911 0.904 0.947 thigh 0.793 0.029 0.821 0.793 0.807 0.882 upperarm 0.905 0.025 0.857 0.905 0.881 0.94 waist Weighted Avg. 0.872 0.021 0.873 0.872 0.872 0.925 === Confusion Matrix === a b c d e f g <-- classified as 433 2 5 0 7 15 2 | a = chest 5 359 25 5 8 19 41 | b = forearm 6 22 401 0 2 22 11 | c = head 4 5 2 428 17 5 3 | d = shin 7 10 2 7 408 11 3 | e = thigh 44 10 24 0 8 368 10 | f = upperarm 6 16 8 1 5 8 420 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2799 86.6563 % Incorrectly Classified Instances 431 13.3437 % Kappa statistic 0.8443 Mean absolute error 0.0381 Root mean squared error 0.1953 Relative absolute error 15.568 % Root relative squared error 55.7996 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.918 0.026 0.854 0.918 0.885 0.946 chest 0.753 0.027 0.825 0.753 0.787 0.863 forearm 0.897 0.023 0.865 0.897 0.88 0.937 head 0.931 0.005 0.971 0.931 0.95 0.963 shin 0.902 0.018 0.892 0.902 0.897 0.942 thigh 0.789 0.03 0.815 0.789 0.802 0.879 upperarm 0.877 0.027 0.846 0.877 0.861 0.925 waist Weighted Avg. 0.867 0.022 0.867 0.867 0.866 0.922 === Confusion Matrix === a b c d e f g <-- classified as 426 2 6 2 5 21 2 | a = chest 9 348 24 0 14 17 50 | b = forearm 11 12 416 0 3 19 3 | c = head 7 3 0 432 13 5 4 | d = shin 7 8 4 9 404 11 5 | e = thigh 32 16 27 2 11 366 10 | f = upperarm 7 33 4 0 3 10 407 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2845 88.0805 % Incorrectly Classified Instances 385 11.9195 % Kappa statistic 0.8609 Mean absolute error 0.0341 Root mean squared error 0.1845 Relative absolute error 13.9064 % Root relative squared error 52.7379 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.931 0.016 0.907 0.931 0.919 0.957 chest 0.792 0.031 0.808 0.792 0.8 0.88 forearm 0.892 0.026 0.852 0.892 0.872 0.933 head 0.966 0.005 0.968 0.966 0.967 0.98 shin 0.9 0.012 0.922 0.9 0.911 0.944 thigh 0.794 0.026 0.839 0.794 0.815 0.884 upperarm 0.892 0.022 0.87 0.892 0.881 0.935 waist Weighted Avg. 0.881 0.02 0.881 0.881 0.88 0.93 === Confusion Matrix === a b c d e f g <-- classified as 431 1 5 0 1 22 3 | a = chest 3 366 33 0 8 16 36 | b = forearm 3 16 414 0 2 23 6 | c = head 1 3 2 448 8 1 1 | d = shin 4 13 1 13 403 7 7 | e = thigh 30 20 25 2 10 369 9 | f = upperarm 3 34 6 0 5 2 414 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2823 87.3994 % Incorrectly Classified Instances 407 12.6006 % Kappa statistic 0.853 Mean absolute error 0.036 Root mean squared error 0.1897 Relative absolute error 14.7011 % Root relative squared error 54.2238 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.933 0.018 0.898 0.933 0.915 0.958 chest 0.779 0.026 0.831 0.779 0.804 0.876 forearm 0.884 0.032 0.823 0.884 0.852 0.926 head 0.933 0.005 0.971 0.933 0.952 0.964 shin 0.877 0.017 0.893 0.877 0.885 0.93 thigh 0.817 0.025 0.846 0.817 0.832 0.896 upperarm 0.894 0.025 0.859 0.894 0.876 0.935 waist Weighted Avg. 0.874 0.021 0.875 0.874 0.874 0.926 === Confusion Matrix === a b c d e f g <-- classified as 432 8 4 1 1 13 4 | a = chest 3 359 38 0 9 14 38 | b = forearm 7 14 410 1 1 26 5 | c = head 6 2 2 434 13 6 2 | d = shin 10 13 5 10 393 6 11 | e = thigh 19 16 30 1 11 380 8 | f = upperarm 4 20 9 0 12 4 415 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2847 88.1424 % Incorrectly Classified Instances 383 11.8576 % Kappa statistic 0.8617 Mean absolute error 0.0339 Root mean squared error 0.1841 Relative absolute error 13.8342 % Root relative squared error 52.6007 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.933 0.02 0.885 0.933 0.909 0.956 chest 0.779 0.019 0.873 0.779 0.823 0.88 forearm 0.881 0.028 0.842 0.881 0.861 0.927 head 0.955 0.004 0.974 0.955 0.964 0.975 shin 0.897 0.017 0.895 0.897 0.896 0.94 thigh 0.809 0.029 0.823 0.809 0.816 0.89 upperarm 0.916 0.021 0.88 0.916 0.898 0.947 waist Weighted Avg. 0.881 0.02 0.882 0.881 0.881 0.931 === Confusion Matrix === a b c d e f g <-- classified as 432 3 10 1 3 12 2 | a = chest 9 359 28 1 15 12 37 | b = forearm 4 12 409 0 2 33 4 | c = head 2 2 1 444 8 8 0 | d = shin 8 7 7 7 402 10 7 | e = thigh 27 10 26 3 15 376 8 | f = upperarm 6 18 5 0 4 6 425 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2833 87.709 % Incorrectly Classified Instances 397 12.291 % Kappa statistic 0.8566 Mean absolute error 0.0351 Root mean squared error 0.1874 Relative absolute error 14.3399 % Root relative squared error 53.5535 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.948 0.02 0.889 0.948 0.917 0.964 chest 0.77 0.03 0.812 0.77 0.791 0.87 forearm 0.871 0.025 0.854 0.871 0.862 0.923 head 0.944 0.005 0.969 0.944 0.956 0.97 shin 0.893 0.015 0.907 0.893 0.9 0.939 thigh 0.826 0.029 0.828 0.826 0.827 0.898 upperarm 0.888 0.02 0.88 0.888 0.884 0.934 waist Weighted Avg. 0.877 0.021 0.877 0.877 0.877 0.928 === Confusion Matrix === a b c d e f g <-- classified as 439 0 3 3 2 16 0 | a = chest 5 355 32 0 6 25 38 | b = forearm 10 19 404 1 3 19 8 | c = head 5 3 2 439 11 5 0 | d = shin 6 11 10 8 400 9 4 | e = thigh 23 21 14 2 15 384 6 | f = upperarm 6 28 8 0 4 6 412 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2837 87.8328 % Incorrectly Classified Instances 393 12.1672 % Kappa statistic 0.858 Mean absolute error 0.0348 Root mean squared error 0.1864 Relative absolute error 14.1954 % Root relative squared error 53.283 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.909 0.017 0.901 0.909 0.905 0.946 chest 0.787 0.025 0.842 0.787 0.814 0.881 forearm 0.881 0.029 0.838 0.881 0.859 0.926 head 0.944 0.004 0.973 0.944 0.959 0.97 shin 0.893 0.01 0.932 0.893 0.912 0.941 thigh 0.813 0.032 0.811 0.813 0.812 0.891 upperarm 0.92 0.026 0.857 0.92 0.888 0.947 waist Weighted Avg. 0.878 0.02 0.879 0.878 0.878 0.929 === Confusion Matrix === a b c d e f g <-- classified as 421 4 6 2 4 21 5 | a = chest 2 363 34 2 9 17 34 | b = forearm 6 16 409 0 0 25 8 | c = head 5 3 1 439 10 4 3 | d = shin 7 4 5 5 400 15 12 | e = thigh 23 21 26 3 5 378 9 | f = upperarm 3 20 7 0 1 6 427 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 9 FOLD: 0 Correctly Classified Instances 2798 86.6254 % Incorrectly Classified Instances 432 13.3746 % Kappa statistic 0.844 Mean absolute error 0.0382 Root mean squared error 0.1955 Relative absolute error 15.6041 % Root relative squared error 55.8643 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.916 0.027 0.85 0.916 0.881 0.944 chest 0.775 0.027 0.827 0.775 0.8 0.874 forearm 0.888 0.033 0.821 0.888 0.853 0.928 head 0.927 0.005 0.968 0.927 0.947 0.961 shin 0.888 0.013 0.915 0.888 0.901 0.938 thigh 0.776 0.032 0.802 0.776 0.789 0.872 upperarm 0.894 0.019 0.889 0.894 0.892 0.938 waist Weighted Avg. 0.866 0.022 0.867 0.866 0.866 0.922 === Confusion Matrix === a b c d e f g <-- classified as 424 5 5 1 2 24 2 | a = chest 6 358 34 3 9 20 32 | b = forearm 8 17 412 0 2 21 4 | c = head 9 4 2 430 12 5 2 | d = shin 8 13 7 8 398 9 5 | e = thigh 35 15 36 2 9 361 7 | f = upperarm 9 21 6 0 3 10 415 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2839 87.8947 % Incorrectly Classified Instances 391 12.1053 % Kappa statistic 0.8588 Mean absolute error 0.0346 Root mean squared error 0.186 Relative absolute error 14.1231 % Root relative squared error 53.1472 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.929 0.017 0.9 0.929 0.914 0.956 chest 0.781 0.025 0.838 0.781 0.809 0.878 forearm 0.886 0.032 0.822 0.886 0.853 0.927 head 0.938 0.005 0.971 0.938 0.954 0.966 shin 0.913 0.01 0.938 0.913 0.925 0.952 thigh 0.822 0.026 0.84 0.822 0.83 0.898 upperarm 0.886 0.026 0.853 0.886 0.869 0.93 waist Weighted Avg. 0.879 0.02 0.88 0.879 0.879 0.929 === Confusion Matrix === a b c d e f g <-- classified as 430 2 10 1 3 14 3 | a = chest 5 361 34 1 8 12 41 | b = forearm 7 17 411 1 0 20 8 | c = head 3 1 4 435 11 4 6 | d = shin 1 10 4 6 409 13 5 | e = thigh 28 13 26 4 4 382 8 | f = upperarm 4 27 11 0 1 10 411 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2840 87.9257 % Incorrectly Classified Instances 390 12.0743 % Kappa statistic 0.8591 Mean absolute error 0.0345 Root mean squared error 0.1857 Relative absolute error 14.087 % Root relative squared error 53.0792 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.946 0.017 0.901 0.946 0.923 0.964 chest 0.747 0.028 0.818 0.747 0.781 0.859 forearm 0.888 0.027 0.848 0.888 0.867 0.931 head 0.94 0.003 0.98 0.94 0.959 0.968 shin 0.886 0.013 0.917 0.886 0.901 0.937 thigh 0.837 0.029 0.831 0.837 0.834 0.904 upperarm 0.912 0.024 0.863 0.912 0.887 0.944 waist Weighted Avg. 0.879 0.02 0.879 0.879 0.879 0.93 === Confusion Matrix === a b c d e f g <-- classified as 438 2 3 0 1 16 3 | a = chest 6 345 35 0 5 25 46 | b = forearm 5 17 412 0 2 24 4 | c = head 6 6 1 436 11 2 2 | d = shin 8 15 9 7 397 9 3 | e = thigh 22 13 20 2 10 389 9 | f = upperarm 1 24 6 0 7 3 423 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2830 87.6161 % Incorrectly Classified Instances 400 12.3839 % Kappa statistic 0.8555 Mean absolute error 0.0354 Root mean squared error 0.1881 Relative absolute error 14.4482 % Root relative squared error 53.7554 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.955 0.017 0.904 0.955 0.929 0.969 chest 0.76 0.029 0.816 0.76 0.787 0.866 forearm 0.869 0.022 0.869 0.869 0.869 0.923 head 0.942 0.004 0.975 0.942 0.958 0.969 shin 0.895 0.016 0.899 0.895 0.897 0.939 thigh 0.817 0.027 0.835 0.817 0.826 0.895 upperarm 0.897 0.03 0.835 0.897 0.865 0.933 waist Weighted Avg. 0.876 0.021 0.876 0.876 0.876 0.928 === Confusion Matrix === a b c d e f g <-- classified as 442 4 3 1 3 9 1 | a = chest 3 351 28 1 10 21 48 | b = forearm 3 20 403 0 2 27 9 | c = head 0 1 1 437 17 3 5 | d = shin 10 9 4 9 401 10 5 | e = thigh 28 12 21 0 10 380 14 | f = upperarm 3 33 4 0 3 5 416 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2834 87.7399 % Incorrectly Classified Instances 396 12.2601 % Kappa statistic 0.857 Mean absolute error 0.035 Root mean squared error 0.1872 Relative absolute error 14.3037 % Root relative squared error 53.486 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.94 0.018 0.897 0.94 0.918 0.961 chest 0.755 0.023 0.843 0.755 0.797 0.866 forearm 0.881 0.022 0.87 0.881 0.876 0.93 head 0.942 0.007 0.96 0.942 0.951 0.968 shin 0.877 0.012 0.92 0.877 0.898 0.933 thigh 0.837 0.03 0.826 0.837 0.831 0.903 upperarm 0.909 0.031 0.831 0.909 0.868 0.939 waist Weighted Avg. 0.877 0.02 0.878 0.877 0.877 0.928 === Confusion Matrix === a b c d e f g <-- classified as 435 1 7 1 1 15 3 | a = chest 5 349 27 6 8 21 46 | b = forearm 5 10 409 0 3 26 11 | c = head 7 3 2 437 10 3 2 | d = shin 9 10 4 7 393 12 13 | e = thigh 21 14 18 4 8 389 11 | f = upperarm 3 27 3 0 4 5 422 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2812 87.0588 % Incorrectly Classified Instances 418 12.9412 % Kappa statistic 0.849 Mean absolute error 0.037 Root mean squared error 0.1923 Relative absolute error 15.0984 % Root relative squared error 54.9516 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.927 0.018 0.894 0.927 0.91 0.954 chest 0.779 0.025 0.837 0.779 0.807 0.877 forearm 0.867 0.027 0.841 0.867 0.854 0.92 head 0.927 0.004 0.975 0.927 0.95 0.961 shin 0.897 0.018 0.889 0.897 0.893 0.94 thigh 0.784 0.033 0.802 0.784 0.793 0.876 upperarm 0.914 0.025 0.858 0.914 0.885 0.944 waist Weighted Avg. 0.871 0.022 0.871 0.871 0.87 0.925 === Confusion Matrix === a b c d e f g <-- classified as 429 3 5 3 4 14 5 | a = chest 2 359 28 0 10 23 39 | b = forearm 5 17 403 0 3 28 9 | c = head 5 3 1 431 16 8 1 | d = shin 9 7 6 6 402 12 6 | e = thigh 28 18 28 1 15 364 10 | f = upperarm 2 22 8 1 2 5 424 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2814 87.1207 % Incorrectly Classified Instances 416 12.8793 % Kappa statistic 0.8497 Mean absolute error 0.0368 Root mean squared error 0.1918 Relative absolute error 15.0262 % Root relative squared error 54.82 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.935 0.021 0.884 0.935 0.909 0.957 chest 0.735 0.027 0.817 0.735 0.774 0.854 forearm 0.871 0.033 0.818 0.871 0.843 0.919 head 0.944 0.007 0.956 0.944 0.95 0.968 shin 0.897 0.01 0.933 0.897 0.915 0.943 thigh 0.808 0.027 0.833 0.808 0.821 0.891 upperarm 0.907 0.025 0.859 0.907 0.883 0.941 waist Weighted Avg. 0.871 0.022 0.871 0.871 0.871 0.925 === Confusion Matrix === a b c d e f g <-- classified as 434 5 6 1 3 13 2 | a = chest 4 339 41 2 10 21 44 | b = forearm 11 16 404 1 3 23 6 | c = head 5 4 5 439 8 1 3 | d = shin 5 11 2 13 402 11 4 | e = thigh 22 20 32 3 2 375 10 | f = upperarm 10 20 4 0 3 6 421 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2845 88.0805 % Incorrectly Classified Instances 385 11.9195 % Kappa statistic 0.8609 Mean absolute error 0.0341 Root mean squared error 0.1845 Relative absolute error 13.9064 % Root relative squared error 52.7379 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.929 0.016 0.907 0.929 0.918 0.956 chest 0.766 0.021 0.861 0.766 0.811 0.873 forearm 0.879 0.027 0.843 0.879 0.861 0.926 head 0.955 0.004 0.976 0.955 0.965 0.975 shin 0.933 0.013 0.921 0.933 0.927 0.96 thigh 0.808 0.035 0.796 0.808 0.802 0.887 upperarm 0.897 0.023 0.865 0.897 0.88 0.937 waist Weighted Avg. 0.881 0.02 0.881 0.881 0.88 0.93 === Confusion Matrix === a b c d e f g <-- classified as 431 1 6 1 6 18 1 | a = chest 6 353 26 0 6 29 41 | b = forearm 4 13 408 1 1 31 6 | c = head 5 2 1 444 7 3 3 | d = shin 3 8 4 5 418 5 5 | e = thigh 19 14 31 3 13 375 9 | f = upperarm 7 19 8 1 3 10 416 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2826 87.4923 % Incorrectly Classified Instances 404 12.5077 % Kappa statistic 0.8541 Mean absolute error 0.0357 Root mean squared error 0.189 Relative absolute error 14.5927 % Root relative squared error 54.0235 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.938 0.021 0.881 0.938 0.908 0.958 chest 0.796 0.029 0.819 0.796 0.807 0.883 forearm 0.866 0.023 0.863 0.866 0.865 0.922 head 0.948 0.008 0.955 0.948 0.951 0.97 shin 0.875 0.013 0.918 0.875 0.896 0.931 thigh 0.797 0.03 0.819 0.797 0.808 0.884 upperarm 0.903 0.022 0.871 0.903 0.887 0.94 waist Weighted Avg. 0.875 0.021 0.875 0.875 0.875 0.927 === Confusion Matrix === a b c d e f g <-- classified as 435 1 2 4 3 14 5 | a = chest 3 367 24 2 11 16 38 | b = forearm 6 22 402 0 2 28 4 | c = head 3 2 1 441 8 7 3 | d = shin 2 18 5 14 392 11 6 | e = thigh 38 17 26 0 7 370 6 | f = upperarm 7 21 6 1 4 6 419 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2865 88.6997 % Incorrectly Classified Instances 365 11.3003 % Kappa statistic 0.8682 Mean absolute error 0.0323 Root mean squared error 0.1797 Relative absolute error 13.184 % Root relative squared error 51.3497 % Total Number of Instances 3230 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.933 0.016 0.909 0.933 0.921 0.959 chest 0.768 0.017 0.881 0.768 0.821 0.876 forearm 0.899 0.027 0.849 0.899 0.873 0.936 head 0.953 0.004 0.974 0.953 0.963 0.974 shin 0.902 0.01 0.935 0.902 0.918 0.946 thigh 0.851 0.029 0.832 0.851 0.841 0.911 upperarm 0.903 0.029 0.84 0.903 0.87 0.937 waist Weighted Avg. 0.887 0.019 0.888 0.887 0.887 0.934 === Confusion Matrix === a b c d e f g <-- classified as 432 1 4 0 4 16 6 | a = chest 6 355 35 2 5 15 44 | b = forearm 5 12 417 0 1 21 8 | c = head 0 3 2 442 6 6 5 | d = shin 4 7 6 8 405 13 6 | e = thigh 23 9 16 2 8 395 11 | f = upperarm 5 16 11 0 4 9 419 | g = waist ------------------------------------------------------------------------------------------------------ SUBJECT: 7 RUN: 0 FOLD: 0 Correctly Classified Instances 3347 94.1491 % Incorrectly Classified Instances 208 5.8509 % Kappa statistic 0.9317 Mean absolute error 0.0167 Root mean squared error 0.1293 Relative absolute error 6.8261 % Root relative squared error 36.9488 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.899 0.011 0.933 0.899 0.916 0.944 chest 0.911 0.014 0.913 0.911 0.912 0.948 forearm 0.947 0.013 0.923 0.947 0.935 0.967 head 0.986 0.002 0.99 0.986 0.988 0.992 shin 0.978 0.004 0.975 0.978 0.976 0.987 thigh 0.914 0.015 0.91 0.914 0.912 0.949 upperarm 0.955 0.009 0.947 0.955 0.951 0.973 waist Weighted Avg. 0.941 0.01 0.942 0.941 0.941 0.966 === Confusion Matrix === a b c d e f g <-- classified as 456 3 5 1 5 36 1 | a = chest 3 459 19 2 4 4 13 | b = forearm 1 14 482 0 1 0 11 | c = head 1 2 2 501 0 2 0 | d = shin 3 3 1 1 498 3 0 | e = thigh 25 9 5 1 2 465 2 | f = upperarm 0 13 8 0 1 1 486 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3331 93.699 % Incorrectly Classified Instances 224 6.301 % Kappa statistic 0.9265 Mean absolute error 0.018 Root mean squared error 0.1342 Relative absolute error 7.3512 % Root relative squared error 38.3436 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.921 0.01 0.94 0.921 0.93 0.956 chest 0.875 0.011 0.926 0.875 0.9 0.932 forearm 0.951 0.018 0.9 0.951 0.925 0.967 head 0.961 0.003 0.98 0.961 0.97 0.979 shin 0.971 0.004 0.976 0.971 0.973 0.983 thigh 0.947 0.019 0.894 0.947 0.92 0.964 upperarm 0.933 0.009 0.948 0.933 0.941 0.962 waist Weighted Avg. 0.937 0.011 0.938 0.937 0.937 0.963 === Confusion Matrix === a b c d e f g <-- classified as 467 3 4 4 2 27 0 | a = chest 2 441 30 2 2 13 14 | b = forearm 3 10 484 0 2 2 8 | c = head 5 3 3 488 2 5 2 | d = shin 2 1 1 2 494 8 1 | e = thigh 17 4 3 0 2 482 1 | f = upperarm 1 14 13 2 2 2 475 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3319 93.3615 % Incorrectly Classified Instances 236 6.6385 % Kappa statistic 0.9225 Mean absolute error 0.019 Root mean squared error 0.1377 Relative absolute error 7.745 % Root relative squared error 39.3573 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.897 0.011 0.932 0.897 0.915 0.943 chest 0.899 0.016 0.901 0.899 0.9 0.941 forearm 0.947 0.016 0.906 0.947 0.926 0.965 head 0.974 0.003 0.98 0.974 0.977 0.986 shin 0.972 0.006 0.967 0.972 0.97 0.983 thigh 0.933 0.017 0.901 0.933 0.917 0.958 upperarm 0.912 0.008 0.951 0.912 0.931 0.952 waist Weighted Avg. 0.934 0.011 0.934 0.934 0.934 0.961 === Confusion Matrix === a b c d e f g <-- classified as 455 1 5 3 6 36 1 | a = chest 3 453 23 2 1 7 15 | b = forearm 0 19 482 1 0 0 7 | c = head 4 3 2 495 3 1 0 | d = shin 5 3 1 1 495 3 1 | e = thigh 20 8 2 2 2 475 0 | f = upperarm 1 16 17 1 5 5 464 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3303 92.9114 % Incorrectly Classified Instances 252 7.0886 % Kappa statistic 0.9173 Mean absolute error 0.0203 Root mean squared error 0.1423 Relative absolute error 8.2701 % Root relative squared error 40.6695 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.897 0.011 0.93 0.897 0.914 0.943 chest 0.889 0.017 0.898 0.889 0.893 0.936 forearm 0.941 0.021 0.881 0.941 0.91 0.96 head 0.978 0.004 0.975 0.978 0.976 0.987 shin 0.957 0.004 0.974 0.957 0.965 0.976 thigh 0.914 0.019 0.889 0.914 0.901 0.947 upperarm 0.927 0.006 0.963 0.927 0.945 0.961 waist Weighted Avg. 0.929 0.012 0.93 0.929 0.929 0.959 === Confusion Matrix === a b c d e f g <-- classified as 455 4 3 5 7 32 1 | a = chest 0 448 36 0 1 10 9 | b = forearm 2 20 479 1 0 1 6 | c = head 3 0 5 497 0 3 0 | d = shin 4 3 3 4 487 8 0 | e = thigh 24 11 1 3 3 465 2 | f = upperarm 1 13 17 0 2 4 472 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3319 93.3615 % Incorrectly Classified Instances 236 6.6385 % Kappa statistic 0.9226 Mean absolute error 0.019 Root mean squared error 0.1377 Relative absolute error 7.745 % Root relative squared error 39.3573 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.931 0.015 0.911 0.931 0.921 0.958 chest 0.911 0.017 0.9 0.911 0.905 0.947 forearm 0.931 0.019 0.889 0.931 0.91 0.956 head 0.97 0.002 0.99 0.97 0.98 0.984 shin 0.955 0.005 0.97 0.955 0.962 0.975 thigh 0.898 0.013 0.918 0.898 0.908 0.942 upperarm 0.939 0.006 0.962 0.939 0.95 0.966 waist Weighted Avg. 0.934 0.011 0.934 0.934 0.934 0.961 === Confusion Matrix === a b c d e f g <-- classified as 472 1 4 2 2 25 1 | a = chest 1 459 29 0 1 4 10 | b = forearm 3 22 473 0 2 2 6 | c = head 4 5 1 493 4 1 0 | d = shin 6 2 5 1 486 7 2 | e = thigh 31 9 5 2 5 458 0 | f = upperarm 1 12 15 0 1 2 478 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3369 94.7679 % Incorrectly Classified Instances 186 5.2321 % Kappa statistic 0.939 Mean absolute error 0.0149 Root mean squared error 0.1223 Relative absolute error 6.1041 % Root relative squared error 34.9402 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.933 0.01 0.937 0.933 0.935 0.961 chest 0.935 0.014 0.918 0.935 0.926 0.96 forearm 0.961 0.012 0.928 0.961 0.944 0.974 head 0.978 0.004 0.978 0.978 0.978 0.987 shin 0.974 0.005 0.973 0.974 0.974 0.985 thigh 0.927 0.011 0.933 0.927 0.93 0.958 upperarm 0.925 0.005 0.969 0.925 0.947 0.96 waist Weighted Avg. 0.948 0.009 0.948 0.948 0.948 0.969 === Confusion Matrix === a b c d e f g <-- classified as 473 1 3 2 4 23 1 | a = chest 0 471 16 3 1 3 10 | b = forearm 1 14 488 1 1 0 3 | c = head 5 3 0 498 1 1 1 | d = shin 5 2 1 0 496 5 0 | e = thigh 20 7 3 4 3 472 0 | f = upperarm 1 15 15 1 4 2 471 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3330 93.6709 % Incorrectly Classified Instances 225 6.3291 % Kappa statistic 0.9262 Mean absolute error 0.0181 Root mean squared error 0.1345 Relative absolute error 7.384 % Root relative squared error 38.4291 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.919 0.012 0.926 0.919 0.923 0.953 chest 0.883 0.012 0.921 0.883 0.902 0.935 forearm 0.927 0.015 0.911 0.927 0.919 0.956 head 0.98 0.006 0.967 0.98 0.974 0.987 shin 0.969 0.005 0.969 0.969 0.969 0.982 thigh 0.937 0.016 0.909 0.937 0.923 0.961 upperarm 0.941 0.008 0.954 0.941 0.948 0.967 waist Weighted Avg. 0.937 0.011 0.937 0.937 0.937 0.963 === Confusion Matrix === a b c d e f g <-- classified as 466 1 0 6 5 28 1 | a = chest 5 446 26 4 2 12 10 | b = forearm 2 24 471 1 2 0 8 | c = head 2 1 4 499 1 2 0 | d = shin 6 1 1 3 492 2 3 | e = thigh 22 2 2 3 2 477 1 | f = upperarm 0 9 13 0 4 4 479 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3325 93.5302 % Incorrectly Classified Instances 230 6.4698 % Kappa statistic 0.9245 Mean absolute error 0.0185 Root mean squared error 0.136 Relative absolute error 7.5481 % Root relative squared error 38.8537 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.903 0.013 0.922 0.903 0.912 0.945 chest 0.877 0.013 0.917 0.877 0.897 0.932 forearm 0.951 0.015 0.913 0.951 0.932 0.968 head 0.984 0.002 0.988 0.984 0.986 0.991 shin 0.971 0.007 0.959 0.971 0.965 0.982 thigh 0.931 0.017 0.901 0.931 0.916 0.957 upperarm 0.929 0.009 0.948 0.929 0.938 0.96 waist Weighted Avg. 0.935 0.011 0.935 0.935 0.935 0.962 === Confusion Matrix === a b c d e f g <-- classified as 458 3 2 2 6 35 1 | a = chest 4 443 30 0 7 6 15 | b = forearm 2 17 483 0 0 1 5 | c = head 3 1 1 500 0 2 1 | d = shin 4 2 0 0 494 5 4 | e = thigh 20 4 1 4 6 474 0 | f = upperarm 6 13 12 0 2 3 473 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3327 93.6128 % Incorrectly Classified Instances 227 6.3872 % Kappa statistic 0.9255 Mean absolute error 0.0182 Root mean squared error 0.1351 Relative absolute error 7.4517 % Root relative squared error 38.605 % Total Number of Instances 3554 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.897 0.009 0.946 0.897 0.921 0.944 chest 0.917 0.016 0.902 0.917 0.909 0.95 forearm 0.933 0.017 0.901 0.933 0.917 0.958 head 0.972 0.003 0.982 0.972 0.977 0.985 shin 0.945 0.003 0.98 0.945 0.962 0.971 thigh 0.949 0.018 0.896 0.949 0.922 0.965 upperarm 0.939 0.008 0.952 0.939 0.946 0.966 waist Weighted Avg. 0.936 0.011 0.937 0.936 0.936 0.963 === Confusion Matrix === a b c d e f g <-- classified as 455 4 3 4 4 35 2 | a = chest 2 462 26 0 1 5 8 | b = forearm 1 25 474 0 2 1 5 | c = head 0 2 2 494 0 6 4 | d = shin 8 1 5 4 481 9 1 | e = thigh 12 5 2 1 2 483 4 | f = upperarm 3 13 14 0 1 0 478 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3353 94.3444 % Incorrectly Classified Instances 201 5.6556 % Kappa statistic 0.934 Mean absolute error 0.0162 Root mean squared error 0.1271 Relative absolute error 6.5982 % Root relative squared error 36.3269 % Total Number of Instances 3554 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.923 0.009 0.944 0.923 0.933 0.957 chest 0.905 0.012 0.927 0.905 0.916 0.946 forearm 0.965 0.014 0.918 0.965 0.94 0.975 head 0.974 0.002 0.986 0.974 0.98 0.986 shin 0.965 0.005 0.97 0.965 0.967 0.98 thigh 0.955 0.015 0.914 0.955 0.934 0.97 upperarm 0.917 0.008 0.949 0.917 0.933 0.955 waist Weighted Avg. 0.943 0.009 0.944 0.943 0.943 0.967 === Confusion Matrix === a b c d e f g <-- classified as 468 2 4 2 4 23 4 | a = chest 1 456 23 2 3 7 12 | b = forearm 1 7 490 0 2 2 6 | c = head 3 2 2 495 2 3 1 | d = shin 4 5 0 1 491 7 1 | e = thigh 15 5 0 2 0 486 1 | f = upperarm 4 15 15 0 4 4 467 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 1 FOLD: 0 Correctly Classified Instances 3317 93.3052 % Incorrectly Classified Instances 238 6.6948 % Kappa statistic 0.9219 Mean absolute error 0.0191 Root mean squared error 0.1383 Relative absolute error 7.8106 % Root relative squared error 39.5237 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.895 0.012 0.923 0.895 0.909 0.941 chest 0.899 0.015 0.906 0.899 0.902 0.942 forearm 0.957 0.016 0.91 0.957 0.933 0.97 head 0.976 0.003 0.98 0.976 0.978 0.987 shin 0.957 0.004 0.974 0.957 0.965 0.976 thigh 0.927 0.022 0.876 0.927 0.901 0.953 upperarm 0.919 0.005 0.969 0.919 0.944 0.957 waist Weighted Avg. 0.933 0.011 0.934 0.933 0.933 0.961 === Confusion Matrix === a b c d e f g <-- classified as 454 2 3 4 8 35 1 | a = chest 3 453 30 1 0 10 7 | b = forearm 0 14 486 0 2 2 4 | c = head 7 0 0 497 0 4 1 | d = shin 3 4 2 1 487 11 1 | e = thigh 22 7 3 3 1 472 1 | f = upperarm 3 20 10 1 2 5 468 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3320 93.3896 % Incorrectly Classified Instances 235 6.6104 % Kappa statistic 0.9229 Mean absolute error 0.0189 Root mean squared error 0.1374 Relative absolute error 7.7122 % Root relative squared error 39.2738 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.901 0.012 0.925 0.901 0.913 0.945 chest 0.899 0.015 0.908 0.899 0.903 0.942 forearm 0.939 0.014 0.916 0.939 0.927 0.962 head 0.974 0.004 0.976 0.974 0.975 0.985 shin 0.965 0.007 0.961 0.965 0.963 0.979 thigh 0.919 0.017 0.902 0.919 0.911 0.951 upperarm 0.939 0.008 0.95 0.939 0.945 0.965 waist Weighted Avg. 0.934 0.011 0.934 0.934 0.934 0.961 === Confusion Matrix === a b c d e f g <-- classified as 457 4 3 4 6 33 0 | a = chest 0 453 24 0 5 7 15 | b = forearm 2 21 477 0 0 1 7 | c = head 5 1 4 496 0 3 0 | d = shin 7 1 1 3 491 5 1 | e = thigh 20 6 3 5 5 468 2 | f = upperarm 3 13 9 0 4 2 478 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3318 93.3333 % Incorrectly Classified Instances 237 6.6667 % Kappa statistic 0.9222 Mean absolute error 0.019 Root mean squared error 0.138 Relative absolute error 7.7778 % Root relative squared error 39.4406 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.929 0.014 0.916 0.929 0.923 0.957 chest 0.907 0.016 0.903 0.907 0.905 0.945 forearm 0.925 0.016 0.906 0.925 0.915 0.955 head 0.97 0.003 0.984 0.97 0.977 0.984 shin 0.943 0.004 0.974 0.943 0.958 0.969 thigh 0.925 0.014 0.915 0.925 0.92 0.955 upperarm 0.933 0.01 0.939 0.933 0.936 0.962 waist Weighted Avg. 0.933 0.011 0.934 0.933 0.933 0.961 === Confusion Matrix === a b c d e f g <-- classified as 471 0 1 6 6 22 1 | a = chest 0 457 25 1 3 7 11 | b = forearm 1 23 471 0 1 2 11 | c = head 3 4 2 493 1 2 3 | d = shin 10 4 1 1 480 10 3 | e = thigh 28 6 1 0 1 471 2 | f = upperarm 1 12 19 0 1 1 475 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3362 94.571 % Incorrectly Classified Instances 193 5.429 % Kappa statistic 0.9367 Mean absolute error 0.0155 Root mean squared error 0.1245 Relative absolute error 6.3338 % Root relative squared error 35.5916 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.915 0.009 0.945 0.915 0.93 0.953 chest 0.915 0.013 0.918 0.915 0.917 0.951 forearm 0.969 0.014 0.92 0.969 0.944 0.977 head 0.974 0.003 0.982 0.974 0.978 0.986 shin 0.978 0.004 0.975 0.978 0.976 0.987 thigh 0.931 0.013 0.922 0.931 0.927 0.959 upperarm 0.937 0.007 0.96 0.937 0.948 0.965 waist Weighted Avg. 0.946 0.009 0.946 0.946 0.946 0.968 === Confusion Matrix === a b c d e f g <-- classified as 464 0 2 5 5 31 0 | a = chest 2 461 25 0 0 3 13 | b = forearm 0 11 493 0 1 0 4 | c = head 3 3 1 495 4 0 2 | d = shin 2 3 1 1 498 3 1 | e = thigh 19 9 2 2 3 474 0 | f = upperarm 1 15 12 1 0 3 477 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3348 94.1772 % Incorrectly Classified Instances 207 5.8228 % Kappa statistic 0.9321 Mean absolute error 0.0166 Root mean squared error 0.129 Relative absolute error 6.7933 % Root relative squared error 36.8599 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.921 0.01 0.94 0.921 0.93 0.956 chest 0.919 0.017 0.897 0.919 0.908 0.951 forearm 0.955 0.015 0.915 0.955 0.935 0.97 head 0.967 0.002 0.99 0.967 0.978 0.982 shin 0.982 0.007 0.962 0.982 0.972 0.988 thigh 0.933 0.012 0.928 0.933 0.93 0.961 upperarm 0.916 0.006 0.965 0.916 0.94 0.955 waist Weighted Avg. 0.942 0.01 0.942 0.942 0.942 0.966 === Confusion Matrix === a b c d e f g <-- classified as 467 4 2 1 7 25 1 | a = chest 1 463 24 1 2 4 9 | b = forearm 1 15 486 0 0 1 6 | c = head 3 5 1 491 4 4 0 | d = shin 2 2 1 1 500 2 1 | e = thigh 19 8 0 2 5 475 0 | f = upperarm 4 19 17 0 2 1 466 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3352 94.2897 % Incorrectly Classified Instances 203 5.7103 % Kappa statistic 0.9334 Mean absolute error 0.0163 Root mean squared error 0.1277 Relative absolute error 6.662 % Root relative squared error 36.502 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.909 0.009 0.943 0.909 0.926 0.95 chest 0.903 0.014 0.915 0.903 0.909 0.945 forearm 0.937 0.012 0.928 0.937 0.933 0.962 head 0.986 0.004 0.975 0.986 0.98 0.991 shin 0.976 0.007 0.961 0.976 0.969 0.985 thigh 0.945 0.013 0.921 0.945 0.933 0.966 upperarm 0.943 0.007 0.956 0.943 0.95 0.968 waist Weighted Avg. 0.943 0.01 0.943 0.943 0.943 0.967 === Confusion Matrix === a b c d e f g <-- classified as 461 3 4 7 5 27 0 | a = chest 3 455 18 2 6 7 13 | b = forearm 3 19 477 0 1 1 8 | c = head 0 2 0 501 3 2 0 | d = shin 2 1 3 1 497 4 1 | e = thigh 18 4 1 2 3 481 0 | f = upperarm 2 13 11 1 2 0 480 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3329 93.6428 % Incorrectly Classified Instances 226 6.3572 % Kappa statistic 0.9258 Mean absolute error 0.0182 Root mean squared error 0.1348 Relative absolute error 7.4168 % Root relative squared error 38.5144 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.901 0.008 0.948 0.901 0.924 0.947 chest 0.887 0.012 0.926 0.887 0.906 0.938 forearm 0.941 0.018 0.898 0.941 0.919 0.962 head 0.967 0.002 0.986 0.967 0.976 0.982 shin 0.971 0.005 0.971 0.971 0.971 0.983 thigh 0.943 0.019 0.891 0.943 0.916 0.962 upperarm 0.945 0.01 0.941 0.945 0.943 0.968 waist Weighted Avg. 0.936 0.011 0.937 0.936 0.936 0.963 === Confusion Matrix === a b c d e f g <-- classified as 457 3 4 3 3 37 0 | a = chest 2 448 29 3 4 5 14 | b = forearm 2 16 478 0 2 1 9 | c = head 2 4 3 491 1 4 3 | d = shin 3 0 1 1 494 8 2 | e = thigh 15 8 2 0 2 480 2 | f = upperarm 1 5 15 0 3 4 481 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3320 93.3896 % Incorrectly Classified Instances 235 6.6104 % Kappa statistic 0.9229 Mean absolute error 0.0189 Root mean squared error 0.1374 Relative absolute error 7.7122 % Root relative squared error 39.2738 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.915 0.015 0.908 0.915 0.912 0.95 chest 0.883 0.015 0.908 0.883 0.896 0.934 forearm 0.947 0.017 0.901 0.947 0.923 0.965 head 0.988 0.003 0.982 0.988 0.985 0.993 shin 0.953 0.002 0.986 0.953 0.969 0.975 thigh 0.92 0.017 0.898 0.92 0.909 0.951 upperarm 0.931 0.007 0.958 0.931 0.944 0.962 waist Weighted Avg. 0.934 0.011 0.934 0.934 0.934 0.961 === Confusion Matrix === a b c d e f g <-- classified as 464 3 5 2 2 30 1 | a = chest 2 446 32 1 0 10 14 | b = forearm 5 17 481 0 1 0 4 | c = head 2 2 1 502 0 1 0 | d = shin 9 3 2 2 484 6 2 | e = thigh 26 8 2 4 1 469 0 | f = upperarm 3 12 11 0 3 6 474 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3335 93.8379 % Incorrectly Classified Instances 219 6.1621 % Kappa statistic 0.9281 Mean absolute error 0.0176 Root mean squared error 0.1327 Relative absolute error 7.1891 % Root relative squared error 37.9186 % Total Number of Instances 3554 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.911 0.011 0.931 0.911 0.921 0.95 chest 0.899 0.016 0.902 0.899 0.901 0.941 forearm 0.957 0.014 0.919 0.957 0.937 0.971 head 0.986 0.005 0.971 0.986 0.979 0.991 shin 0.971 0.003 0.98 0.971 0.975 0.984 thigh 0.931 0.018 0.896 0.931 0.913 0.957 upperarm 0.914 0.004 0.973 0.914 0.942 0.955 waist Weighted Avg. 0.938 0.01 0.939 0.938 0.938 0.964 === Confusion Matrix === a b c d e f g <-- classified as 462 2 2 5 1 34 1 | a = chest 4 453 24 4 0 10 9 | b = forearm 1 17 486 0 0 1 3 | c = head 2 1 2 501 1 1 0 | d = shin 2 2 3 2 494 6 0 | e = thigh 23 7 2 1 2 474 0 | f = upperarm 2 20 10 3 6 3 465 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3328 93.641 % Incorrectly Classified Instances 226 6.359 % Kappa statistic 0.9258 Mean absolute error 0.0182 Root mean squared error 0.1348 Relative absolute error 7.4189 % Root relative squared error 38.5198 % Total Number of Instances 3554 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.913 0.013 0.92 0.913 0.917 0.95 chest 0.913 0.018 0.893 0.913 0.903 0.947 forearm 0.939 0.018 0.897 0.939 0.917 0.96 head 0.978 0.003 0.982 0.978 0.98 0.988 shin 0.965 0.003 0.982 0.965 0.973 0.981 thigh 0.919 0.011 0.93 0.919 0.925 0.954 upperarm 0.927 0.008 0.954 0.927 0.94 0.96 waist Weighted Avg. 0.936 0.011 0.937 0.936 0.937 0.963 === Confusion Matrix === a b c d e f g <-- classified as 463 5 6 4 3 23 3 | a = chest 1 460 21 2 1 6 13 | b = forearm 2 20 477 0 2 0 7 | c = head 5 3 1 497 0 2 0 | d = shin 7 5 2 1 491 3 0 | e = thigh 22 9 5 2 3 468 0 | f = upperarm 3 13 20 0 0 1 472 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 2 FOLD: 0 Correctly Classified Instances 3313 93.1927 % Incorrectly Classified Instances 242 6.8073 % Kappa statistic 0.9206 Mean absolute error 0.0194 Root mean squared error 0.1395 Relative absolute error 7.9419 % Root relative squared error 39.8544 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.911 0.012 0.924 0.911 0.918 0.949 chest 0.887 0.016 0.901 0.887 0.894 0.936 forearm 0.933 0.013 0.924 0.933 0.929 0.96 head 0.978 0.002 0.99 0.978 0.984 0.988 shin 0.961 0.005 0.972 0.961 0.966 0.978 thigh 0.935 0.021 0.88 0.935 0.907 0.957 upperarm 0.917 0.011 0.936 0.917 0.927 0.953 waist Weighted Avg. 0.932 0.011 0.932 0.932 0.932 0.96 === Confusion Matrix === a b c d e f g <-- classified as 462 2 1 1 4 37 0 | a = chest 3 448 24 2 1 9 18 | b = forearm 3 16 474 0 4 0 11 | c = head 4 1 1 497 2 3 0 | d = shin 4 2 1 0 489 11 2 | e = thigh 22 6 2 2 0 476 1 | f = upperarm 2 22 10 0 3 5 467 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3340 93.9522 % Incorrectly Classified Instances 215 6.0478 % Kappa statistic 0.9294 Mean absolute error 0.0173 Root mean squared error 0.1315 Relative absolute error 7.0558 % Root relative squared error 37.5654 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.919 0.01 0.936 0.919 0.927 0.954 chest 0.905 0.018 0.891 0.905 0.898 0.943 forearm 0.937 0.014 0.917 0.937 0.927 0.961 head 0.978 0.002 0.986 0.978 0.982 0.988 shin 0.974 0.006 0.963 0.974 0.969 0.984 thigh 0.929 0.012 0.929 0.929 0.929 0.959 upperarm 0.933 0.007 0.956 0.933 0.944 0.963 waist Weighted Avg. 0.94 0.01 0.94 0.94 0.94 0.965 === Confusion Matrix === a b c d e f g <-- classified as 466 3 3 4 6 24 1 | a = chest 1 456 25 0 3 7 12 | b = forearm 1 22 476 0 2 0 7 | c = head 3 5 1 497 0 1 1 | d = shin 5 3 1 0 496 4 0 | e = thigh 18 8 2 2 5 474 1 | f = upperarm 4 15 11 1 3 0 475 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3344 94.0647 % Incorrectly Classified Instances 211 5.9353 % Kappa statistic 0.9308 Mean absolute error 0.017 Root mean squared error 0.1302 Relative absolute error 6.9245 % Root relative squared error 37.2143 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.915 0.014 0.917 0.915 0.916 0.951 chest 0.897 0.011 0.93 0.897 0.913 0.943 forearm 0.959 0.018 0.897 0.959 0.927 0.97 head 0.982 0.002 0.988 0.982 0.985 0.99 shin 0.976 0.007 0.961 0.976 0.969 0.985 thigh 0.929 0.014 0.918 0.929 0.924 0.958 upperarm 0.925 0.004 0.977 0.925 0.951 0.961 waist Weighted Avg. 0.941 0.01 0.941 0.941 0.941 0.965 === Confusion Matrix === a b c d e f g <-- classified as 464 2 6 3 3 29 0 | a = chest 2 452 34 0 3 8 5 | b = forearm 3 11 488 0 1 0 6 | c = head 1 2 2 499 3 1 0 | d = shin 5 3 0 2 497 2 0 | e = thigh 26 2 1 1 6 473 0 | f = upperarm 5 14 13 0 4 2 471 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3342 94.0084 % Incorrectly Classified Instances 213 5.9916 % Kappa statistic 0.9301 Mean absolute error 0.0171 Root mean squared error 0.1308 Relative absolute error 6.9902 % Root relative squared error 37.3903 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.913 0.009 0.943 0.913 0.928 0.952 chest 0.905 0.014 0.914 0.905 0.909 0.945 forearm 0.943 0.017 0.901 0.943 0.921 0.963 head 0.976 0.002 0.986 0.976 0.981 0.987 shin 0.974 0.005 0.973 0.974 0.974 0.985 thigh 0.925 0.015 0.909 0.925 0.917 0.955 upperarm 0.943 0.007 0.958 0.943 0.95 0.968 waist Weighted Avg. 0.94 0.01 0.941 0.94 0.94 0.965 === Confusion Matrix === a b c d e f g <-- classified as 463 1 2 5 4 31 1 | a = chest 1 456 33 2 1 1 10 | b = forearm 0 19 480 0 0 2 8 | c = head 2 2 2 496 2 4 0 | d = shin 2 2 2 0 496 6 1 | e = thigh 21 10 3 0 3 471 1 | f = upperarm 2 9 11 0 4 3 480 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3349 94.2053 % Incorrectly Classified Instances 206 5.7947 % Kappa statistic 0.9324 Mean absolute error 0.0166 Root mean squared error 0.1287 Relative absolute error 6.7604 % Root relative squared error 36.7708 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.925 0.013 0.92 0.925 0.922 0.956 chest 0.895 0.014 0.915 0.895 0.905 0.941 forearm 0.951 0.013 0.924 0.951 0.937 0.969 head 0.984 0.002 0.99 0.984 0.987 0.991 shin 0.972 0.007 0.959 0.972 0.966 0.983 thigh 0.921 0.012 0.929 0.921 0.925 0.955 upperarm 0.945 0.007 0.958 0.945 0.952 0.969 waist Weighted Avg. 0.942 0.01 0.942 0.942 0.942 0.966 === Confusion Matrix === a b c d e f g <-- classified as 469 2 5 1 5 24 1 | a = chest 4 451 25 1 6 6 11 | b = forearm 1 17 484 0 2 0 5 | c = head 2 0 0 500 4 2 0 | d = shin 6 2 0 1 495 2 3 | e = thigh 26 9 0 1 3 469 1 | f = upperarm 2 12 10 1 1 2 481 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3351 94.2616 % Incorrectly Classified Instances 204 5.7384 % Kappa statistic 0.9331 Mean absolute error 0.0164 Root mean squared error 0.128 Relative absolute error 6.6948 % Root relative squared error 36.5918 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.927 0.009 0.948 0.927 0.937 0.959 chest 0.909 0.016 0.902 0.909 0.905 0.946 forearm 0.941 0.012 0.93 0.941 0.936 0.965 head 0.986 0.004 0.979 0.986 0.982 0.991 shin 0.971 0.005 0.969 0.971 0.97 0.983 thigh 0.927 0.013 0.92 0.927 0.924 0.957 upperarm 0.937 0.008 0.952 0.937 0.945 0.965 waist Weighted Avg. 0.943 0.01 0.943 0.943 0.943 0.967 === Confusion Matrix === a b c d e f g <-- classified as 470 2 1 1 3 29 1 | a = chest 0 458 20 2 3 6 15 | b = forearm 2 18 479 0 3 2 5 | c = head 2 1 1 501 2 0 1 | d = shin 5 3 2 3 494 1 1 | e = thigh 15 11 2 4 4 472 1 | f = upperarm 2 15 10 1 1 3 477 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3335 93.8115 % Incorrectly Classified Instances 220 6.1885 % Kappa statistic 0.9278 Mean absolute error 0.0177 Root mean squared error 0.133 Relative absolute error 7.2199 % Root relative squared error 37.9997 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.899 0.01 0.934 0.899 0.917 0.944 chest 0.909 0.013 0.92 0.909 0.914 0.948 forearm 0.953 0.011 0.933 0.953 0.943 0.971 head 0.969 0.002 0.99 0.969 0.979 0.983 shin 0.959 0.006 0.963 0.959 0.961 0.976 thigh 0.945 0.022 0.879 0.945 0.911 0.962 upperarm 0.933 0.008 0.954 0.933 0.943 0.963 waist Weighted Avg. 0.938 0.01 0.939 0.938 0.938 0.964 === Confusion Matrix === a b c d e f g <-- classified as 456 3 2 3 7 36 0 | a = chest 0 458 19 0 3 9 15 | b = forearm 1 18 484 0 2 1 2 | c = head 2 2 1 493 2 6 3 | d = shin 6 1 3 1 488 9 1 | e = thigh 17 5 1 1 2 481 2 | f = upperarm 6 11 9 0 3 5 475 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3297 92.7426 % Incorrectly Classified Instances 258 7.2574 % Kappa statistic 0.9153 Mean absolute error 0.0207 Root mean squared error 0.144 Relative absolute error 8.467 % Root relative squared error 41.1509 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.911 0.014 0.915 0.911 0.913 0.949 chest 0.899 0.017 0.895 0.899 0.897 0.941 forearm 0.923 0.019 0.89 0.923 0.906 0.952 head 0.972 0.004 0.976 0.972 0.974 0.984 shin 0.953 0.007 0.957 0.953 0.955 0.973 thigh 0.923 0.016 0.904 0.923 0.914 0.953 upperarm 0.91 0.007 0.959 0.91 0.933 0.952 waist Weighted Avg. 0.927 0.012 0.928 0.927 0.928 0.958 === Confusion Matrix === a b c d e f g <-- classified as 462 2 3 6 11 22 1 | a = chest 3 453 28 1 0 10 9 | b = forearm 6 22 469 0 2 1 8 | c = head 3 2 4 495 2 2 1 | d = shin 4 2 3 3 485 11 1 | e = thigh 25 5 4 2 3 470 0 | f = upperarm 2 20 16 0 4 4 463 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3325 93.5566 % Incorrectly Classified Instances 229 6.4434 % Kappa statistic 0.9248 Mean absolute error 0.0184 Root mean squared error 0.1357 Relative absolute error 7.5174 % Root relative squared error 38.7746 % Total Number of Instances 3554 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.901 0.012 0.927 0.901 0.914 0.945 chest 0.905 0.013 0.918 0.905 0.911 0.946 forearm 0.943 0.015 0.911 0.943 0.926 0.964 head 0.969 0.002 0.986 0.969 0.977 0.983 shin 0.969 0.006 0.965 0.969 0.967 0.981 thigh 0.939 0.019 0.89 0.939 0.914 0.96 upperarm 0.923 0.007 0.957 0.923 0.94 0.958 waist Weighted Avg. 0.936 0.011 0.936 0.936 0.936 0.962 === Confusion Matrix === a b c d e f g <-- classified as 457 0 2 2 8 37 1 | a = chest 2 456 22 1 2 8 13 | b = forearm 1 19 479 0 2 0 7 | c = head 6 6 1 492 0 3 0 | d = shin 4 3 2 1 493 6 0 | e = thigh 22 4 1 2 2 478 0 | f = upperarm 1 9 19 1 4 5 470 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3329 93.6691 % Incorrectly Classified Instances 225 6.3309 % Kappa statistic 0.9261 Mean absolute error 0.0181 Root mean squared error 0.1345 Relative absolute error 7.3861 % Root relative squared error 38.4345 % Total Number of Instances 3554 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.903 0.012 0.927 0.903 0.915 0.946 chest 0.903 0.015 0.908 0.903 0.906 0.944 forearm 0.957 0.016 0.907 0.957 0.931 0.97 head 0.965 0.003 0.982 0.965 0.973 0.981 shin 0.959 0.006 0.962 0.959 0.961 0.976 thigh 0.933 0.014 0.915 0.933 0.924 0.959 upperarm 0.937 0.007 0.958 0.937 0.947 0.965 waist Weighted Avg. 0.937 0.011 0.937 0.937 0.937 0.963 === Confusion Matrix === a b c d e f g <-- classified as 458 8 5 5 3 27 1 | a = chest 2 456 28 1 2 4 12 | b = forearm 1 13 486 0 1 2 5 | c = head 4 1 1 490 7 2 3 | d = shin 9 3 0 1 487 8 0 | e = thigh 18 9 1 2 4 475 0 | f = upperarm 2 12 15 0 2 1 477 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 3 FOLD: 0 Correctly Classified Instances 3331 93.699 % Incorrectly Classified Instances 224 6.301 % Kappa statistic 0.9265 Mean absolute error 0.018 Root mean squared error 0.1342 Relative absolute error 7.3512 % Root relative squared error 38.3436 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.893 0.01 0.936 0.893 0.914 0.942 chest 0.907 0.016 0.903 0.907 0.905 0.945 forearm 0.929 0.014 0.915 0.929 0.922 0.957 head 0.976 0.003 0.984 0.976 0.98 0.987 shin 0.98 0.007 0.961 0.98 0.971 0.987 thigh 0.943 0.015 0.913 0.943 0.928 0.964 upperarm 0.929 0.009 0.948 0.929 0.938 0.96 waist Weighted Avg. 0.937 0.01 0.937 0.937 0.937 0.963 === Confusion Matrix === a b c d e f g <-- classified as 453 3 4 5 8 32 2 | a = chest 2 457 23 0 3 4 15 | b = forearm 2 25 473 0 2 0 7 | c = head 4 1 1 496 1 5 0 | d = shin 2 1 0 1 499 4 2 | e = thigh 17 6 1 2 3 480 0 | f = upperarm 4 13 15 0 3 1 473 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3333 93.7553 % Incorrectly Classified Instances 222 6.2447 % Kappa statistic 0.9271 Mean absolute error 0.0178 Root mean squared error 0.1336 Relative absolute error 7.2855 % Root relative squared error 38.1721 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.905 0.008 0.948 0.905 0.926 0.949 chest 0.907 0.015 0.907 0.907 0.907 0.946 forearm 0.945 0.013 0.921 0.945 0.933 0.966 head 0.974 0.004 0.978 0.974 0.976 0.985 shin 0.967 0.007 0.957 0.967 0.962 0.98 thigh 0.935 0.017 0.903 0.935 0.919 0.959 upperarm 0.929 0.008 0.95 0.929 0.939 0.961 waist Weighted Avg. 0.938 0.01 0.938 0.938 0.938 0.964 === Confusion Matrix === a b c d e f g <-- classified as 459 2 3 6 5 28 4 | a = chest 0 457 26 1 3 6 11 | b = forearm 2 13 481 0 4 2 7 | c = head 3 3 2 495 1 3 1 | d = shin 3 4 0 1 492 7 2 | e = thigh 17 9 0 3 4 476 0 | f = upperarm 0 16 10 0 5 5 473 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3331 93.699 % Incorrectly Classified Instances 224 6.301 % Kappa statistic 0.9265 Mean absolute error 0.018 Root mean squared error 0.1342 Relative absolute error 7.3512 % Root relative squared error 38.3436 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.915 0.013 0.919 0.915 0.917 0.951 chest 0.897 0.013 0.917 0.897 0.907 0.942 forearm 0.937 0.014 0.916 0.937 0.926 0.961 head 0.976 0.002 0.986 0.976 0.981 0.987 shin 0.976 0.007 0.961 0.976 0.969 0.985 thigh 0.925 0.017 0.902 0.925 0.914 0.954 upperarm 0.931 0.007 0.96 0.931 0.945 0.962 waist Weighted Avg. 0.937 0.01 0.937 0.937 0.937 0.963 === Confusion Matrix === a b c d e f g <-- classified as 464 0 3 4 4 32 0 | a = chest 4 452 24 0 2 10 12 | b = forearm 1 19 477 0 4 1 7 | c = head 6 1 2 496 2 0 1 | d = shin 6 1 0 0 497 5 0 | e = thigh 22 5 3 3 5 471 0 | f = upperarm 2 15 12 0 3 3 474 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3329 93.6428 % Incorrectly Classified Instances 226 6.3572 % Kappa statistic 0.9258 Mean absolute error 0.0182 Root mean squared error 0.1348 Relative absolute error 7.4168 % Root relative squared error 38.5144 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.899 0.011 0.933 0.899 0.916 0.944 chest 0.889 0.013 0.92 0.889 0.904 0.938 forearm 0.951 0.017 0.901 0.951 0.925 0.967 head 0.972 0.002 0.988 0.972 0.98 0.985 shin 0.959 0.006 0.966 0.959 0.963 0.977 thigh 0.939 0.017 0.902 0.939 0.92 0.961 upperarm 0.945 0.009 0.949 0.945 0.947 0.968 waist Weighted Avg. 0.936 0.011 0.937 0.936 0.936 0.963 === Confusion Matrix === a b c d e f g <-- classified as 456 1 3 2 8 35 2 | a = chest 2 449 32 1 2 6 13 | b = forearm 0 15 483 0 0 1 9 | c = head 4 2 3 494 2 2 1 | d = shin 8 2 4 1 488 5 1 | e = thigh 17 7 2 2 3 478 0 | f = upperarm 2 12 9 0 2 3 481 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3351 94.2616 % Incorrectly Classified Instances 204 5.7384 % Kappa statistic 0.9331 Mean absolute error 0.0164 Root mean squared error 0.128 Relative absolute error 6.6948 % Root relative squared error 36.5918 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.931 0.012 0.925 0.931 0.928 0.959 chest 0.917 0.013 0.92 0.917 0.919 0.952 forearm 0.951 0.011 0.932 0.951 0.942 0.97 head 0.974 0.005 0.969 0.974 0.972 0.985 shin 0.961 0.004 0.976 0.961 0.968 0.978 thigh 0.919 0.014 0.916 0.919 0.918 0.953 upperarm 0.945 0.007 0.96 0.945 0.952 0.969 waist Weighted Avg. 0.943 0.01 0.943 0.943 0.943 0.967 === Confusion Matrix === a b c d e f g <-- classified as 472 3 3 4 3 22 0 | a = chest 0 463 20 2 3 6 11 | b = forearm 3 15 483 0 1 1 5 | c = head 2 3 3 495 0 4 1 | d = shin 4 2 1 3 489 8 2 | e = thigh 24 8 0 5 3 468 1 | f = upperarm 5 9 8 2 2 2 481 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3310 93.1083 % Incorrectly Classified Instances 245 6.8917 % Kappa statistic 0.9196 Mean absolute error 0.0197 Root mean squared error 0.1403 Relative absolute error 8.0403 % Root relative squared error 40.1007 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.907 0.011 0.931 0.907 0.919 0.948 chest 0.887 0.018 0.889 0.887 0.888 0.934 forearm 0.935 0.02 0.885 0.935 0.909 0.957 head 0.984 0.003 0.984 0.984 0.984 0.991 shin 0.967 0.005 0.97 0.967 0.969 0.981 thigh 0.927 0.015 0.911 0.927 0.919 0.956 upperarm 0.91 0.008 0.951 0.91 0.93 0.951 waist Weighted Avg. 0.931 0.011 0.932 0.931 0.931 0.96 === Confusion Matrix === a b c d e f g <-- classified as 460 5 4 4 4 30 0 | a = chest 3 447 27 3 3 6 15 | b = forearm 5 19 475 0 2 1 6 | c = head 1 1 1 500 2 2 1 | d = shin 2 6 4 1 492 4 0 | e = thigh 23 5 4 0 3 473 2 | f = upperarm 0 20 22 0 1 3 463 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3362 94.571 % Incorrectly Classified Instances 193 5.429 % Kappa statistic 0.9367 Mean absolute error 0.0155 Root mean squared error 0.1245 Relative absolute error 6.3338 % Root relative squared error 35.5916 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.927 0.012 0.929 0.927 0.928 0.958 chest 0.94 0.013 0.922 0.94 0.931 0.964 forearm 0.953 0.014 0.92 0.953 0.936 0.969 head 0.976 0.001 0.992 0.976 0.984 0.988 shin 0.982 0.008 0.952 0.982 0.967 0.987 thigh 0.91 0.01 0.939 0.91 0.924 0.95 upperarm 0.931 0.005 0.967 0.931 0.949 0.963 waist Weighted Avg. 0.946 0.009 0.946 0.946 0.946 0.968 === Confusion Matrix === a b c d e f g <-- classified as 470 2 3 2 8 21 1 | a = chest 0 474 19 1 2 3 5 | b = forearm 0 12 484 0 2 1 9 | c = head 3 4 0 497 5 0 0 | d = shin 2 2 2 0 500 3 0 | e = thigh 29 10 2 0 4 463 1 | f = upperarm 2 10 16 1 4 2 474 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3319 93.3615 % Incorrectly Classified Instances 236 6.6385 % Kappa statistic 0.9226 Mean absolute error 0.019 Root mean squared error 0.1377 Relative absolute error 7.745 % Root relative squared error 39.3573 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.897 0.01 0.936 0.897 0.916 0.944 chest 0.903 0.016 0.905 0.903 0.904 0.944 forearm 0.939 0.019 0.893 0.939 0.916 0.96 head 0.974 0.002 0.99 0.974 0.982 0.986 shin 0.971 0.008 0.956 0.971 0.963 0.981 thigh 0.927 0.016 0.906 0.927 0.917 0.956 upperarm 0.923 0.008 0.953 0.923 0.938 0.958 waist Weighted Avg. 0.934 0.011 0.934 0.934 0.934 0.961 === Confusion Matrix === a b c d e f g <-- classified as 455 4 3 2 5 38 0 | a = chest 2 455 29 1 4 5 8 | b = forearm 1 21 477 0 1 0 8 | c = head 1 3 2 496 3 2 2 | d = shin 8 0 1 1 494 3 2 | e = thigh 17 6 4 1 6 472 3 | f = upperarm 2 14 18 0 4 1 470 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3322 93.4721 % Incorrectly Classified Instances 232 6.5279 % Kappa statistic 0.9238 Mean absolute error 0.0187 Root mean squared error 0.1366 Relative absolute error 7.6158 % Root relative squared error 39.0278 % Total Number of Instances 3554 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.913 0.012 0.928 0.913 0.92 0.951 chest 0.883 0.015 0.904 0.883 0.894 0.934 forearm 0.967 0.017 0.903 0.967 0.933 0.975 head 0.961 0.002 0.988 0.961 0.974 0.979 shin 0.959 0.004 0.976 0.959 0.967 0.977 thigh 0.935 0.016 0.907 0.935 0.921 0.96 upperarm 0.925 0.01 0.942 0.925 0.934 0.958 waist Weighted Avg. 0.935 0.011 0.935 0.935 0.935 0.962 === Confusion Matrix === a b c d e f g <-- classified as 463 5 2 2 4 30 1 | a = chest 2 445 29 1 1 9 17 | b = forearm 1 10 491 0 0 2 4 | c = head 8 3 2 488 2 2 3 | d = shin 6 5 4 1 488 3 2 | e = thigh 18 7 4 1 1 476 2 | f = upperarm 1 17 12 1 4 3 471 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3351 94.2881 % Incorrectly Classified Instances 203 5.7119 % Kappa statistic 0.9334 Mean absolute error 0.0163 Root mean squared error 0.1277 Relative absolute error 6.6639 % Root relative squared error 36.5072 % Total Number of Instances 3554 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.927 0.011 0.933 0.927 0.93 0.958 chest 0.897 0.014 0.915 0.897 0.906 0.942 forearm 0.957 0.014 0.921 0.957 0.938 0.971 head 0.98 0.003 0.984 0.98 0.982 0.989 shin 0.957 0.003 0.984 0.957 0.97 0.977 thigh 0.941 0.017 0.904 0.941 0.922 0.962 upperarm 0.941 0.006 0.964 0.941 0.952 0.968 waist Weighted Avg. 0.943 0.01 0.943 0.943 0.943 0.967 === Confusion Matrix === a b c d e f g <-- classified as 470 2 2 2 3 27 1 | a = chest 2 452 26 3 1 8 12 | b = forearm 1 19 487 0 0 0 2 | c = head 1 4 1 498 1 2 1 | d = shin 7 1 2 1 486 10 1 | e = thigh 21 4 2 2 0 479 1 | f = upperarm 2 12 9 0 3 4 479 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 4 FOLD: 0 Correctly Classified Instances 3329 93.6428 % Incorrectly Classified Instances 226 6.3572 % Kappa statistic 0.9258 Mean absolute error 0.0182 Root mean squared error 0.1348 Relative absolute error 7.4168 % Root relative squared error 38.5144 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.901 0.011 0.933 0.901 0.917 0.945 chest 0.887 0.015 0.907 0.887 0.897 0.936 forearm 0.969 0.015 0.914 0.969 0.941 0.977 head 0.974 0.003 0.982 0.974 0.978 0.986 shin 0.978 0.005 0.969 0.978 0.974 0.987 thigh 0.927 0.018 0.894 0.927 0.91 0.955 upperarm 0.917 0.007 0.959 0.917 0.938 0.955 waist Weighted Avg. 0.936 0.011 0.937 0.936 0.936 0.963 === Confusion Matrix === a b c d e f g <-- classified as 457 7 2 4 4 33 0 | a = chest 1 447 28 2 2 9 15 | b = forearm 2 10 492 0 0 1 3 | c = head 2 2 1 495 2 4 2 | d = shin 3 2 0 2 498 4 0 | e = thigh 23 7 1 1 5 473 0 | f = upperarm 2 18 14 0 3 5 467 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3346 94.121 % Incorrectly Classified Instances 209 5.879 % Kappa statistic 0.9314 Mean absolute error 0.0168 Root mean squared error 0.1296 Relative absolute error 6.8589 % Root relative squared error 37.0375 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.927 0.011 0.931 0.927 0.929 0.958 chest 0.901 0.015 0.91 0.901 0.905 0.943 forearm 0.951 0.015 0.913 0.951 0.932 0.968 head 0.98 0.002 0.99 0.98 0.985 0.989 shin 0.98 0.006 0.963 0.98 0.972 0.987 thigh 0.921 0.011 0.931 0.921 0.926 0.955 upperarm 0.927 0.008 0.952 0.927 0.939 0.96 waist Weighted Avg. 0.941 0.01 0.941 0.941 0.941 0.966 === Confusion Matrix === a b c d e f g <-- classified as 470 3 2 1 5 26 0 | a = chest 3 454 27 1 3 5 11 | b = forearm 1 13 484 0 1 0 10 | c = head 3 3 1 498 1 1 1 | d = shin 6 0 0 0 499 2 2 | e = thigh 19 11 2 2 6 469 0 | f = upperarm 3 15 14 1 3 1 472 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3337 93.8678 % Incorrectly Classified Instances 218 6.1322 % Kappa statistic 0.9285 Mean absolute error 0.0175 Root mean squared error 0.1324 Relative absolute error 7.1543 % Root relative squared error 37.8266 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.909 0.01 0.937 0.909 0.923 0.95 chest 0.911 0.016 0.904 0.911 0.907 0.947 forearm 0.933 0.014 0.915 0.933 0.924 0.959 head 0.99 0.002 0.986 0.99 0.988 0.994 shin 0.959 0.002 0.988 0.959 0.973 0.978 thigh 0.929 0.018 0.898 0.929 0.913 0.956 upperarm 0.939 0.009 0.947 0.939 0.943 0.965 waist Weighted Avg. 0.939 0.01 0.939 0.939 0.939 0.964 === Confusion Matrix === a b c d e f g <-- classified as 461 3 2 1 1 38 1 | a = chest 3 459 23 1 0 7 11 | b = forearm 0 22 475 0 1 1 10 | c = head 1 0 1 503 1 1 1 | d = shin 7 2 3 2 488 5 2 | e = thigh 18 5 5 3 3 473 2 | f = upperarm 2 17 10 0 0 2 478 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3326 93.5584 % Incorrectly Classified Instances 229 6.4416 % Kappa statistic 0.9248 Mean absolute error 0.0184 Root mean squared error 0.1357 Relative absolute error 7.5153 % Root relative squared error 38.7692 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.913 0.013 0.92 0.913 0.917 0.95 chest 0.889 0.015 0.905 0.889 0.897 0.937 forearm 0.947 0.015 0.913 0.947 0.93 0.966 head 0.972 0.002 0.988 0.972 0.98 0.985 shin 0.959 0.005 0.968 0.959 0.963 0.977 thigh 0.935 0.015 0.914 0.935 0.924 0.96 upperarm 0.933 0.01 0.942 0.933 0.938 0.962 waist Weighted Avg. 0.936 0.011 0.936 0.936 0.936 0.962 === Confusion Matrix === a b c d e f g <-- classified as 463 2 4 3 7 28 0 | a = chest 1 448 24 2 2 3 24 | b = forearm 2 22 482 0 1 1 1 | c = head 7 3 1 494 1 2 0 | d = shin 4 4 2 0 488 9 2 | e = thigh 22 4 2 1 2 476 2 | f = upperarm 4 12 13 0 3 2 475 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3310 93.1083 % Incorrectly Classified Instances 245 6.8917 % Kappa statistic 0.9196 Mean absolute error 0.0197 Root mean squared error 0.1403 Relative absolute error 8.0403 % Root relative squared error 40.1007 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.895 0.013 0.921 0.895 0.908 0.941 chest 0.901 0.013 0.917 0.901 0.909 0.944 forearm 0.949 0.015 0.911 0.949 0.93 0.967 head 0.967 0.004 0.978 0.967 0.972 0.981 shin 0.967 0.005 0.97 0.967 0.969 0.981 thigh 0.917 0.023 0.87 0.917 0.893 0.947 upperarm 0.921 0.007 0.955 0.921 0.938 0.957 waist Weighted Avg. 0.931 0.011 0.932 0.931 0.931 0.96 === Confusion Matrix === a b c d e f g <-- classified as 454 2 5 8 4 31 3 | a = chest 2 454 29 0 0 13 6 | b = forearm 2 14 483 0 2 0 8 | c = head 2 3 2 491 2 5 3 | d = shin 3 2 1 1 492 9 1 | e = thigh 28 7 0 2 4 467 1 | f = upperarm 2 13 10 0 3 12 469 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3336 93.8397 % Incorrectly Classified Instances 219 6.1603 % Kappa statistic 0.9281 Mean absolute error 0.0176 Root mean squared error 0.1327 Relative absolute error 7.1871 % Root relative squared error 37.9133 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.923 0.013 0.923 0.923 0.923 0.955 chest 0.917 0.012 0.924 0.917 0.92 0.952 forearm 0.939 0.012 0.928 0.939 0.933 0.963 head 0.961 0.002 0.986 0.961 0.973 0.979 shin 0.957 0.005 0.97 0.957 0.963 0.976 thigh 0.939 0.017 0.902 0.939 0.92 0.961 upperarm 0.933 0.01 0.939 0.933 0.936 0.962 waist Weighted Avg. 0.938 0.01 0.939 0.938 0.939 0.964 === Confusion Matrix === a b c d e f g <-- classified as 468 0 3 2 6 28 0 | a = chest 0 462 16 2 4 7 13 | b = forearm 0 15 477 0 1 2 13 | c = head 5 4 2 489 1 6 2 | d = shin 8 3 2 2 487 5 2 | e = thigh 24 4 1 1 0 478 1 | f = upperarm 2 12 13 0 3 4 475 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3331 93.699 % Incorrectly Classified Instances 224 6.301 % Kappa statistic 0.9265 Mean absolute error 0.018 Root mean squared error 0.1342 Relative absolute error 7.3512 % Root relative squared error 38.3436 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.897 0.01 0.934 0.897 0.915 0.943 chest 0.891 0.01 0.939 0.891 0.915 0.941 forearm 0.951 0.017 0.901 0.951 0.925 0.967 head 0.974 0.005 0.971 0.974 0.973 0.985 shin 0.967 0.006 0.967 0.967 0.967 0.98 thigh 0.957 0.018 0.899 0.957 0.927 0.969 upperarm 0.921 0.008 0.953 0.921 0.937 0.957 waist Weighted Avg. 0.937 0.011 0.938 0.937 0.937 0.963 === Confusion Matrix === a b c d e f g <-- classified as 455 2 3 8 6 31 2 | a = chest 2 450 25 2 3 11 12 | b = forearm 3 13 483 0 3 0 6 | c = head 2 1 3 496 2 2 3 | d = shin 5 1 1 2 491 8 0 | e = thigh 16 2 2 1 1 487 0 | f = upperarm 4 10 19 2 2 3 469 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3373 94.8805 % Incorrectly Classified Instances 182 5.1195 % Kappa statistic 0.9403 Mean absolute error 0.0146 Root mean squared error 0.1209 Relative absolute error 5.9728 % Root relative squared error 34.5625 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.923 0.008 0.951 0.923 0.937 0.958 chest 0.913 0.012 0.928 0.913 0.92 0.951 forearm 0.959 0.015 0.914 0.959 0.936 0.972 head 0.98 0.003 0.98 0.98 0.98 0.989 shin 0.974 0.004 0.978 0.974 0.976 0.985 thigh 0.937 0.012 0.93 0.937 0.933 0.963 upperarm 0.955 0.006 0.962 0.955 0.959 0.974 waist Weighted Avg. 0.949 0.009 0.949 0.949 0.949 0.97 === Confusion Matrix === a b c d e f g <-- classified as 468 2 4 5 4 24 0 | a = chest 2 461 26 0 5 4 7 | b = forearm 0 14 487 0 0 1 6 | c = head 3 4 3 498 0 0 0 | d = shin 0 0 2 2 496 5 4 | e = thigh 17 5 3 3 2 477 2 | f = upperarm 2 11 8 0 0 2 486 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3311 93.1626 % Incorrectly Classified Instances 243 6.8374 % Kappa statistic 0.9202 Mean absolute error 0.0195 Root mean squared error 0.1398 Relative absolute error 7.9769 % Root relative squared error 39.9423 % Total Number of Instances 3554 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.915 0.013 0.922 0.915 0.919 0.951 chest 0.891 0.017 0.894 0.891 0.893 0.937 forearm 0.925 0.018 0.897 0.925 0.911 0.954 head 0.97 0.001 0.992 0.97 0.981 0.985 shin 0.967 0.005 0.972 0.967 0.969 0.981 thigh 0.923 0.017 0.899 0.923 0.911 0.953 upperarm 0.929 0.009 0.948 0.929 0.938 0.96 waist Weighted Avg. 0.932 0.011 0.932 0.932 0.932 0.96 === Confusion Matrix === a b c d e f g <-- classified as 464 3 5 2 2 30 1 | a = chest 1 449 29 1 2 9 13 | b = forearm 2 22 470 0 2 2 10 | c = head 6 3 1 493 1 4 0 | d = shin 4 3 2 0 492 6 2 | e = thigh 25 6 4 1 3 470 0 | f = upperarm 1 16 13 0 4 2 473 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3332 93.7535 % Incorrectly Classified Instances 222 6.2465 % Kappa statistic 0.9271 Mean absolute error 0.0178 Root mean squared error 0.1336 Relative absolute error 7.2876 % Root relative squared error 38.1774 % Total Number of Instances 3554 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.911 0.012 0.926 0.911 0.918 0.95 chest 0.923 0.017 0.901 0.923 0.912 0.953 forearm 0.935 0.014 0.919 0.935 0.927 0.961 head 0.974 0.002 0.986 0.974 0.98 0.986 shin 0.969 0.006 0.965 0.969 0.967 0.981 thigh 0.91 0.016 0.904 0.91 0.907 0.947 upperarm 0.941 0.006 0.964 0.941 0.952 0.968 waist Weighted Avg. 0.938 0.01 0.938 0.938 0.938 0.964 === Confusion Matrix === a b c d e f g <-- classified as 462 0 4 1 5 34 1 | a = chest 2 465 21 1 2 5 8 | b = forearm 2 20 475 0 4 1 6 | c = head 4 3 2 495 2 2 0 | d = shin 4 4 2 0 493 4 2 | e = thigh 24 12 1 5 3 463 1 | f = upperarm 1 12 12 0 2 3 479 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 5 FOLD: 0 Correctly Classified Instances 3309 93.0802 % Incorrectly Classified Instances 246 6.9198 % Kappa statistic 0.9193 Mean absolute error 0.0198 Root mean squared error 0.1406 Relative absolute error 8.0732 % Root relative squared error 40.1825 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.888 0.012 0.926 0.888 0.906 0.938 chest 0.905 0.018 0.894 0.905 0.899 0.944 forearm 0.939 0.017 0.903 0.939 0.921 0.961 head 0.967 0.004 0.978 0.967 0.972 0.981 shin 0.961 0.006 0.963 0.961 0.962 0.977 thigh 0.927 0.018 0.897 0.927 0.912 0.955 upperarm 0.929 0.007 0.957 0.929 0.943 0.961 waist Weighted Avg. 0.931 0.012 0.931 0.931 0.931 0.96 === Confusion Matrix === a b c d e f g <-- classified as 450 5 2 6 6 37 1 | a = chest 2 456 28 0 1 3 14 | b = forearm 4 20 477 0 2 0 5 | c = head 1 6 1 492 4 4 1 | d = shin 3 4 3 3 489 7 0 | e = thigh 22 5 5 2 3 472 0 | f = upperarm 4 14 12 0 3 3 473 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3347 94.1491 % Incorrectly Classified Instances 208 5.8509 % Kappa statistic 0.9317 Mean absolute error 0.0167 Root mean squared error 0.1293 Relative absolute error 6.8261 % Root relative squared error 36.9488 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.907 0.012 0.926 0.907 0.916 0.948 chest 0.931 0.017 0.902 0.931 0.916 0.957 forearm 0.937 0.011 0.933 0.937 0.935 0.963 head 0.967 0.003 0.982 0.967 0.974 0.982 shin 0.969 0.002 0.986 0.969 0.977 0.983 thigh 0.941 0.016 0.905 0.941 0.923 0.962 upperarm 0.939 0.007 0.96 0.939 0.949 0.966 waist Weighted Avg. 0.941 0.01 0.942 0.941 0.942 0.966 === Confusion Matrix === a b c d e f g <-- classified as 460 3 2 5 2 33 2 | a = chest 2 469 17 2 1 5 8 | b = forearm 2 19 476 0 1 1 9 | c = head 6 3 0 492 2 5 1 | d = shin 4 1 5 1 493 5 0 | e = thigh 20 6 2 1 1 479 0 | f = upperarm 3 19 8 0 0 1 478 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3310 93.1083 % Incorrectly Classified Instances 245 6.8917 % Kappa statistic 0.9196 Mean absolute error 0.0197 Root mean squared error 0.1403 Relative absolute error 8.0403 % Root relative squared error 40.1007 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.878 0.012 0.925 0.878 0.901 0.933 chest 0.897 0.021 0.874 0.897 0.885 0.938 forearm 0.945 0.014 0.916 0.945 0.93 0.965 head 0.976 0.003 0.982 0.976 0.979 0.987 shin 0.965 0.005 0.968 0.965 0.967 0.98 thigh 0.925 0.019 0.892 0.925 0.909 0.953 upperarm 0.931 0.006 0.963 0.931 0.947 0.963 waist Weighted Avg. 0.931 0.011 0.932 0.931 0.931 0.96 === Confusion Matrix === a b c d e f g <-- classified as 445 7 2 5 6 41 1 | a = chest 4 452 26 1 3 6 12 | b = forearm 1 21 480 1 2 0 3 | c = head 5 2 3 496 1 1 0 | d = shin 5 4 2 1 491 5 1 | e = thigh 19 12 1 1 4 472 1 | f = upperarm 2 19 10 0 0 4 474 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3342 94.0084 % Incorrectly Classified Instances 213 5.9916 % Kappa statistic 0.9301 Mean absolute error 0.0171 Root mean squared error 0.1308 Relative absolute error 6.9902 % Root relative squared error 37.3903 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.909 0.009 0.945 0.909 0.927 0.95 chest 0.909 0.016 0.902 0.909 0.905 0.946 forearm 0.943 0.015 0.914 0.943 0.928 0.964 head 0.972 0.003 0.98 0.972 0.976 0.985 shin 0.974 0.005 0.973 0.974 0.974 0.985 thigh 0.933 0.016 0.906 0.933 0.92 0.959 upperarm 0.939 0.006 0.964 0.939 0.951 0.967 waist Weighted Avg. 0.94 0.01 0.941 0.94 0.94 0.965 === Confusion Matrix === a b c d e f g <-- classified as 461 2 3 2 4 35 0 | a = chest 0 459 27 3 2 5 9 | b = forearm 1 19 479 0 1 1 7 | c = head 4 3 3 494 1 2 1 | d = shin 4 4 0 1 496 3 1 | e = thigh 15 12 2 2 3 475 0 | f = upperarm 3 10 10 2 3 3 478 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3347 94.1491 % Incorrectly Classified Instances 208 5.8509 % Kappa statistic 0.9317 Mean absolute error 0.0167 Root mean squared error 0.1293 Relative absolute error 6.8261 % Root relative squared error 36.9488 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.921 0.01 0.94 0.921 0.93 0.956 chest 0.909 0.015 0.907 0.909 0.908 0.947 forearm 0.945 0.013 0.925 0.945 0.935 0.966 head 0.978 0.003 0.984 0.978 0.981 0.988 shin 0.961 0.005 0.968 0.961 0.964 0.978 thigh 0.943 0.014 0.92 0.943 0.931 0.965 upperarm 0.933 0.009 0.948 0.933 0.941 0.962 waist Weighted Avg. 0.941 0.01 0.942 0.941 0.942 0.966 === Confusion Matrix === a b c d e f g <-- classified as 467 6 5 2 6 21 0 | a = chest 1 459 17 1 3 5 19 | b = forearm 3 17 481 0 0 2 6 | c = head 3 2 2 497 1 2 1 | d = shin 3 5 1 3 488 8 0 | e = thigh 17 5 1 1 5 480 0 | f = upperarm 3 12 13 1 1 4 475 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3336 93.8397 % Incorrectly Classified Instances 219 6.1603 % Kappa statistic 0.9281 Mean absolute error 0.0176 Root mean squared error 0.1327 Relative absolute error 7.1871 % Root relative squared error 37.9133 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.925 0.014 0.916 0.925 0.921 0.955 chest 0.895 0.01 0.938 0.895 0.916 0.943 forearm 0.949 0.016 0.906 0.949 0.927 0.966 head 0.978 0.003 0.984 0.978 0.981 0.988 shin 0.963 0.004 0.974 0.963 0.968 0.979 thigh 0.923 0.018 0.894 0.923 0.908 0.952 upperarm 0.935 0.006 0.962 0.935 0.948 0.964 waist Weighted Avg. 0.938 0.01 0.939 0.938 0.939 0.964 === Confusion Matrix === a b c d e f g <-- classified as 469 0 2 4 2 30 0 | a = chest 2 451 29 0 1 13 8 | b = forearm 3 13 483 0 1 1 8 | c = head 2 4 0 497 2 2 1 | d = shin 9 0 0 1 490 8 1 | e = thigh 23 7 2 3 3 470 1 | f = upperarm 4 6 17 0 4 2 476 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3337 93.8678 % Incorrectly Classified Instances 218 6.1322 % Kappa statistic 0.9285 Mean absolute error 0.0175 Root mean squared error 0.1324 Relative absolute error 7.1543 % Root relative squared error 37.8266 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.931 0.011 0.935 0.931 0.933 0.96 chest 0.889 0.014 0.914 0.889 0.901 0.938 forearm 0.947 0.014 0.916 0.947 0.931 0.966 head 0.972 0.003 0.984 0.972 0.978 0.985 shin 0.959 0.003 0.984 0.959 0.971 0.978 thigh 0.939 0.021 0.884 0.939 0.91 0.959 upperarm 0.933 0.007 0.96 0.933 0.946 0.963 waist Weighted Avg. 0.939 0.01 0.94 0.939 0.939 0.964 === Confusion Matrix === a b c d e f g <-- classified as 472 2 1 2 3 27 0 | a = chest 1 448 27 1 2 14 11 | b = forearm 1 17 482 0 1 2 6 | c = head 3 4 1 494 1 4 1 | d = shin 6 2 3 0 488 9 1 | e = thigh 22 3 1 3 1 478 1 | f = upperarm 0 14 11 2 0 7 475 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3329 93.6428 % Incorrectly Classified Instances 226 6.3572 % Kappa statistic 0.9258 Mean absolute error 0.0182 Root mean squared error 0.1348 Relative absolute error 7.4168 % Root relative squared error 38.5144 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.911 0.012 0.926 0.911 0.918 0.95 chest 0.911 0.014 0.916 0.911 0.913 0.948 forearm 0.949 0.017 0.904 0.949 0.926 0.966 head 0.99 0.006 0.964 0.99 0.977 0.992 shin 0.959 0.004 0.978 0.959 0.968 0.978 thigh 0.923 0.014 0.914 0.923 0.919 0.954 upperarm 0.912 0.007 0.955 0.912 0.933 0.952 waist Weighted Avg. 0.936 0.011 0.937 0.936 0.936 0.963 === Confusion Matrix === a b c d e f g <-- classified as 462 1 4 8 8 24 0 | a = chest 1 459 25 2 1 3 13 | b = forearm 0 17 483 0 1 2 6 | c = head 0 2 1 503 0 1 1 | d = shin 6 1 1 3 488 8 2 | e = thigh 26 4 3 6 0 470 0 | f = upperarm 4 17 17 0 1 6 464 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3334 93.8098 % Incorrectly Classified Instances 220 6.1902 % Kappa statistic 0.9278 Mean absolute error 0.0177 Root mean squared error 0.133 Relative absolute error 7.2219 % Root relative squared error 38.0051 % Total Number of Instances 3554 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.915 0.011 0.934 0.915 0.924 0.952 chest 0.877 0.013 0.919 0.877 0.897 0.932 forearm 0.951 0.016 0.91 0.951 0.93 0.968 head 0.986 0.002 0.986 0.986 0.986 0.992 shin 0.974 0.007 0.958 0.974 0.966 0.984 thigh 0.937 0.015 0.914 0.937 0.925 0.961 upperarm 0.925 0.009 0.948 0.925 0.936 0.958 waist Weighted Avg. 0.938 0.01 0.938 0.938 0.938 0.964 === Confusion Matrix === a b c d e f g <-- classified as 464 2 2 3 5 29 2 | a = chest 4 442 29 1 5 9 14 | b = forearm 2 14 483 0 3 0 6 | c = head 2 1 2 501 1 0 1 | d = shin 4 1 0 1 496 5 2 | e = thigh 21 3 3 1 3 477 1 | f = upperarm 0 18 12 1 5 2 471 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3353 94.3444 % Incorrectly Classified Instances 201 5.6556 % Kappa statistic 0.934 Mean absolute error 0.0162 Root mean squared error 0.1271 Relative absolute error 6.5982 % Root relative squared error 36.3269 % Total Number of Instances 3554 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.919 0.012 0.928 0.919 0.924 0.954 chest 0.917 0.013 0.92 0.917 0.918 0.952 forearm 0.951 0.014 0.92 0.951 0.935 0.968 head 0.976 0.004 0.974 0.976 0.975 0.986 shin 0.982 0.005 0.971 0.982 0.977 0.989 thigh 0.921 0.012 0.927 0.921 0.924 0.955 upperarm 0.937 0.006 0.964 0.937 0.95 0.966 waist Weighted Avg. 0.943 0.009 0.944 0.943 0.943 0.967 === Confusion Matrix === a b c d e f g <-- classified as 466 0 4 6 6 25 0 | a = chest 2 462 22 3 3 4 8 | b = forearm 1 18 483 0 0 0 6 | c = head 6 1 0 496 1 3 1 | d = shin 2 1 1 2 500 2 1 | e = thigh 25 8 1 2 2 469 2 | f = upperarm 0 12 14 0 3 3 477 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 6 FOLD: 0 Correctly Classified Instances 3308 93.052 % Incorrectly Classified Instances 247 6.948 % Kappa statistic 0.9189 Mean absolute error 0.0199 Root mean squared error 0.1409 Relative absolute error 8.106 % Root relative squared error 40.2641 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.915 0.018 0.892 0.915 0.904 0.948 chest 0.895 0.016 0.9 0.895 0.898 0.939 forearm 0.935 0.017 0.902 0.935 0.918 0.959 head 0.963 0.002 0.99 0.963 0.976 0.98 shin 0.957 0.004 0.974 0.957 0.965 0.976 thigh 0.923 0.015 0.909 0.923 0.916 0.954 upperarm 0.925 0.008 0.952 0.925 0.938 0.959 waist Weighted Avg. 0.931 0.012 0.931 0.931 0.931 0.959 === Confusion Matrix === a b c d e f g <-- classified as 464 3 2 2 4 32 0 | a = chest 3 451 29 1 2 5 13 | b = forearm 3 22 476 0 1 0 7 | c = head 11 1 2 489 1 4 0 | d = shin 13 0 2 0 487 4 3 | e = thigh 22 6 6 2 2 470 1 | f = upperarm 4 18 11 0 3 2 471 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3339 93.9241 % Incorrectly Classified Instances 216 6.0759 % Kappa statistic 0.9291 Mean absolute error 0.0174 Root mean squared error 0.1318 Relative absolute error 7.0886 % Root relative squared error 37.6527 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.897 0.013 0.921 0.897 0.909 0.942 chest 0.905 0.013 0.921 0.905 0.913 0.946 forearm 0.937 0.015 0.914 0.937 0.925 0.961 head 0.967 0.002 0.988 0.967 0.977 0.982 shin 0.974 0.004 0.974 0.974 0.974 0.985 thigh 0.941 0.017 0.902 0.941 0.921 0.962 upperarm 0.953 0.007 0.957 0.953 0.955 0.973 waist Weighted Avg. 0.939 0.01 0.94 0.939 0.939 0.965 === Confusion Matrix === a b c d e f g <-- classified as 455 2 6 3 4 34 3 | a = chest 4 456 24 1 1 9 9 | b = forearm 2 19 477 0 4 2 5 | c = head 3 4 2 491 2 5 1 | d = shin 6 3 1 0 496 1 2 | e = thigh 20 5 2 1 0 479 2 | f = upperarm 4 6 10 1 2 1 485 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3335 93.8115 % Incorrectly Classified Instances 220 6.1885 % Kappa statistic 0.9278 Mean absolute error 0.0177 Root mean squared error 0.133 Relative absolute error 7.2199 % Root relative squared error 37.9997 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.931 0.013 0.92 0.931 0.925 0.959 chest 0.899 0.016 0.904 0.899 0.901 0.942 forearm 0.949 0.014 0.918 0.949 0.933 0.967 head 0.984 0.003 0.982 0.984 0.983 0.991 shin 0.969 0.007 0.959 0.969 0.964 0.981 thigh 0.904 0.01 0.941 0.904 0.922 0.947 upperarm 0.931 0.01 0.942 0.931 0.937 0.961 waist Weighted Avg. 0.938 0.01 0.938 0.938 0.938 0.964 === Confusion Matrix === a b c d e f g <-- classified as 472 3 1 3 6 21 1 | a = chest 0 453 26 4 3 5 13 | b = forearm 2 15 483 0 1 0 8 | c = head 2 2 1 500 2 0 1 | d = shin 7 3 0 1 493 2 3 | e = thigh 28 8 3 1 6 460 3 | f = upperarm 2 17 12 0 3 1 474 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3372 94.8523 % Incorrectly Classified Instances 183 5.1477 % Kappa statistic 0.9399 Mean absolute error 0.0147 Root mean squared error 0.1213 Relative absolute error 6.0056 % Root relative squared error 34.6573 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.915 0.008 0.953 0.915 0.934 0.954 chest 0.919 0.012 0.926 0.919 0.922 0.953 forearm 0.959 0.014 0.919 0.959 0.938 0.972 head 0.976 0.002 0.99 0.976 0.983 0.987 shin 0.976 0.004 0.975 0.976 0.975 0.986 thigh 0.945 0.015 0.914 0.945 0.929 0.965 upperarm 0.949 0.006 0.966 0.949 0.957 0.972 waist Weighted Avg. 0.949 0.009 0.949 0.949 0.949 0.97 === Confusion Matrix === a b c d e f g <-- classified as 464 1 5 1 5 29 2 | a = chest 1 463 24 0 1 5 10 | b = forearm 2 14 488 0 1 1 3 | c = head 2 1 2 496 2 3 2 | d = shin 2 3 0 2 497 5 0 | e = thigh 16 6 2 2 2 481 0 | f = upperarm 0 12 10 0 2 2 483 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3327 93.5865 % Incorrectly Classified Instances 228 6.4135 % Kappa statistic 0.9252 Mean absolute error 0.0183 Root mean squared error 0.1354 Relative absolute error 7.4824 % Root relative squared error 38.6844 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.919 0.009 0.945 0.919 0.932 0.955 chest 0.907 0.019 0.886 0.907 0.896 0.944 forearm 0.943 0.019 0.894 0.943 0.918 0.962 head 0.967 0.003 0.98 0.967 0.973 0.982 shin 0.967 0.007 0.961 0.967 0.964 0.98 thigh 0.927 0.012 0.927 0.927 0.927 0.958 upperarm 0.921 0.006 0.963 0.921 0.942 0.958 waist Weighted Avg. 0.936 0.011 0.937 0.936 0.936 0.963 === Confusion Matrix === a b c d e f g <-- classified as 466 5 2 3 7 23 1 | a = chest 1 458 30 2 2 2 10 | b = forearm 0 23 479 0 1 1 4 | c = head 5 6 1 491 3 1 1 | d = shin 1 4 3 1 492 7 1 | e = thigh 19 8 2 3 4 472 1 | f = upperarm 1 13 19 1 3 3 469 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3321 93.4177 % Incorrectly Classified Instances 234 6.5823 % Kappa statistic 0.9232 Mean absolute error 0.0188 Root mean squared error 0.1371 Relative absolute error 7.6793 % Root relative squared error 39.1901 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.915 0.012 0.928 0.915 0.922 0.952 chest 0.889 0.014 0.911 0.889 0.9 0.937 forearm 0.917 0.014 0.914 0.917 0.916 0.951 head 0.978 0.005 0.973 0.978 0.975 0.987 shin 0.957 0.003 0.982 0.957 0.969 0.977 thigh 0.939 0.019 0.89 0.939 0.914 0.96 upperarm 0.943 0.009 0.945 0.943 0.944 0.967 waist Weighted Avg. 0.934 0.011 0.935 0.934 0.934 0.962 === Confusion Matrix === a b c d e f g <-- classified as 464 1 2 5 5 29 1 | a = chest 1 449 26 0 3 14 12 | b = forearm 4 22 466 0 1 3 12 | c = head 4 3 0 497 0 2 2 | d = shin 4 2 3 6 487 6 1 | e = thigh 20 9 1 1 0 478 0 | f = upperarm 3 7 12 2 0 5 480 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3335 93.8115 % Incorrectly Classified Instances 220 6.1885 % Kappa statistic 0.9278 Mean absolute error 0.0177 Root mean squared error 0.133 Relative absolute error 7.2199 % Root relative squared error 37.9997 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.905 0.009 0.943 0.905 0.924 0.948 chest 0.917 0.012 0.924 0.917 0.92 0.952 forearm 0.947 0.016 0.908 0.947 0.927 0.965 head 0.972 0.002 0.986 0.972 0.979 0.985 shin 0.947 0.003 0.982 0.947 0.964 0.972 thigh 0.951 0.022 0.88 0.951 0.914 0.965 upperarm 0.927 0.008 0.954 0.927 0.94 0.96 waist Weighted Avg. 0.938 0.01 0.939 0.938 0.938 0.964 === Confusion Matrix === a b c d e f g <-- classified as 459 3 6 5 2 32 0 | a = chest 2 462 17 1 2 9 11 | b = forearm 0 15 481 0 0 2 10 | c = head 2 1 4 494 2 5 0 | d = shin 8 2 5 0 482 11 1 | e = thigh 15 5 1 1 2 485 1 | f = upperarm 1 12 16 0 1 7 472 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3335 93.8115 % Incorrectly Classified Instances 220 6.1885 % Kappa statistic 0.9278 Mean absolute error 0.0177 Root mean squared error 0.133 Relative absolute error 7.2199 % Root relative squared error 37.9997 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.89 0.01 0.938 0.89 0.913 0.94 chest 0.893 0.015 0.909 0.893 0.901 0.939 forearm 0.957 0.015 0.912 0.957 0.934 0.971 head 0.98 0.002 0.988 0.98 0.984 0.989 shin 0.972 0.004 0.974 0.972 0.973 0.984 thigh 0.939 0.019 0.89 0.939 0.914 0.96 upperarm 0.935 0.007 0.96 0.935 0.947 0.964 waist Weighted Avg. 0.938 0.01 0.939 0.938 0.938 0.964 === Confusion Matrix === a b c d e f g <-- classified as 451 5 3 3 5 39 1 | a = chest 1 450 27 2 1 9 14 | b = forearm 2 13 486 0 1 1 5 | c = head 2 2 2 499 2 2 0 | d = shin 4 3 2 0 495 5 0 | e = thigh 19 7 2 1 2 478 0 | f = upperarm 2 15 11 0 2 3 476 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3333 93.7817 % Incorrectly Classified Instances 221 6.2183 % Kappa statistic 0.9275 Mean absolute error 0.0178 Root mean squared error 0.1333 Relative absolute error 7.2547 % Root relative squared error 38.0913 % Total Number of Instances 3554 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.923 0.011 0.93 0.923 0.927 0.956 chest 0.889 0.011 0.928 0.889 0.908 0.939 forearm 0.959 0.018 0.9 0.959 0.929 0.97 head 0.972 0.003 0.98 0.972 0.976 0.985 shin 0.959 0.003 0.98 0.959 0.969 0.978 thigh 0.927 0.017 0.902 0.927 0.915 0.955 upperarm 0.935 0.009 0.948 0.935 0.942 0.963 waist Weighted Avg. 0.938 0.01 0.938 0.938 0.938 0.964 === Confusion Matrix === a b c d e f g <-- classified as 468 2 1 6 2 27 1 | a = chest 1 448 32 0 4 6 13 | b = forearm 0 13 487 0 0 0 8 | c = head 3 1 4 495 1 4 1 | d = shin 4 4 2 0 487 9 2 | e = thigh 25 4 0 4 3 472 1 | f = upperarm 2 11 15 0 0 5 476 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3332 93.7535 % Incorrectly Classified Instances 222 6.2465 % Kappa statistic 0.9271 Mean absolute error 0.0178 Root mean squared error 0.1336 Relative absolute error 7.2876 % Root relative squared error 38.1774 % Total Number of Instances 3554 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.913 0.011 0.935 0.913 0.924 0.951 chest 0.899 0.017 0.897 0.899 0.898 0.941 forearm 0.951 0.017 0.904 0.951 0.927 0.967 head 0.988 0.003 0.982 0.988 0.985 0.993 shin 0.976 0.004 0.975 0.976 0.975 0.986 thigh 0.917 0.014 0.916 0.917 0.917 0.952 upperarm 0.917 0.007 0.955 0.917 0.936 0.955 waist Weighted Avg. 0.938 0.01 0.938 0.938 0.938 0.964 === Confusion Matrix === a b c d e f g <-- classified as 463 5 2 1 4 30 2 | a = chest 2 453 29 1 1 5 13 | b = forearm 1 17 483 0 1 1 5 | c = head 2 3 0 502 1 0 0 | d = shin 2 2 2 1 497 4 1 | e = thigh 22 7 3 5 4 467 1 | f = upperarm 3 18 15 1 2 3 467 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 7 FOLD: 0 Correctly Classified Instances 3332 93.7271 % Incorrectly Classified Instances 223 6.2729 % Kappa statistic 0.9268 Mean absolute error 0.0179 Root mean squared error 0.1339 Relative absolute error 7.3183 % Root relative squared error 38.2579 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.917 0.01 0.936 0.917 0.926 0.953 chest 0.885 0.015 0.908 0.885 0.896 0.935 forearm 0.943 0.017 0.902 0.943 0.922 0.963 head 0.974 0.003 0.984 0.974 0.979 0.986 shin 0.963 0.004 0.978 0.963 0.97 0.98 thigh 0.941 0.018 0.897 0.941 0.919 0.962 upperarm 0.937 0.007 0.96 0.937 0.948 0.965 waist Weighted Avg. 0.937 0.01 0.938 0.937 0.937 0.963 === Confusion Matrix === a b c d e f g <-- classified as 465 3 2 4 6 27 0 | a = chest 3 446 33 2 0 9 11 | b = forearm 1 15 480 0 2 4 7 | c = head 2 1 2 495 3 3 2 | d = shin 4 3 2 0 490 10 0 | e = thigh 21 7 1 1 0 479 0 | f = upperarm 1 16 12 1 0 2 477 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3312 93.1646 % Incorrectly Classified Instances 243 6.8354 % Kappa statistic 0.9203 Mean absolute error 0.0195 Root mean squared error 0.1397 Relative absolute error 7.9747 % Root relative squared error 39.9367 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.909 0.016 0.906 0.909 0.907 0.947 chest 0.919 0.015 0.908 0.919 0.913 0.952 forearm 0.953 0.015 0.913 0.953 0.933 0.969 head 0.965 0.002 0.99 0.965 0.977 0.981 shin 0.961 0.008 0.951 0.961 0.956 0.976 thigh 0.912 0.018 0.892 0.912 0.902 0.947 upperarm 0.904 0.005 0.966 0.904 0.934 0.949 waist Weighted Avg. 0.932 0.011 0.932 0.932 0.932 0.96 === Confusion Matrix === a b c d e f g <-- classified as 461 1 1 3 11 29 1 | a = chest 1 463 20 1 2 9 8 | b = forearm 2 17 485 0 0 0 5 | c = head 6 2 3 490 2 5 0 | d = shin 4 3 2 0 489 9 2 | e = thigh 30 7 2 1 5 464 0 | f = upperarm 5 17 18 0 5 4 460 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3340 93.9522 % Incorrectly Classified Instances 215 6.0478 % Kappa statistic 0.9294 Mean absolute error 0.0173 Root mean squared error 0.1315 Relative absolute error 7.0558 % Root relative squared error 37.5654 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.89 0.012 0.926 0.89 0.907 0.939 chest 0.909 0.011 0.931 0.909 0.92 0.949 forearm 0.953 0.012 0.929 0.953 0.941 0.97 head 0.97 0.004 0.974 0.97 0.972 0.983 shin 0.965 0.003 0.984 0.965 0.974 0.981 thigh 0.935 0.02 0.888 0.935 0.911 0.958 upperarm 0.955 0.009 0.947 0.955 0.951 0.973 waist Weighted Avg. 0.94 0.01 0.94 0.94 0.94 0.965 === Confusion Matrix === a b c d e f g <-- classified as 451 1 4 8 5 37 1 | a = chest 3 458 16 1 0 10 16 | b = forearm 1 17 485 0 0 0 6 | c = head 4 4 3 493 1 1 2 | d = shin 3 2 3 1 491 8 1 | e = thigh 23 4 0 3 2 476 1 | f = upperarm 2 6 11 0 0 4 486 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3302 92.8833 % Incorrectly Classified Instances 253 7.1167 % Kappa statistic 0.917 Mean absolute error 0.0203 Root mean squared error 0.1426 Relative absolute error 8.3029 % Root relative squared error 40.7502 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.915 0.016 0.906 0.915 0.911 0.95 chest 0.877 0.017 0.895 0.877 0.886 0.93 forearm 0.937 0.021 0.88 0.937 0.908 0.958 head 0.98 0.003 0.984 0.98 0.982 0.989 shin 0.967 0.002 0.988 0.967 0.977 0.982 thigh 0.904 0.018 0.895 0.904 0.899 0.943 upperarm 0.921 0.007 0.959 0.921 0.94 0.957 waist Weighted Avg. 0.929 0.012 0.93 0.929 0.929 0.958 === Confusion Matrix === a b c d e f g <-- classified as 464 3 3 0 1 35 1 | a = chest 4 442 37 1 2 11 7 | b = forearm 2 18 477 0 1 1 10 | c = head 4 3 1 498 0 2 0 | d = shin 6 5 1 1 492 2 2 | e = thigh 30 8 4 6 1 460 0 | f = upperarm 2 15 19 0 1 3 469 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3347 94.1491 % Incorrectly Classified Instances 208 5.8509 % Kappa statistic 0.9317 Mean absolute error 0.0167 Root mean squared error 0.1293 Relative absolute error 6.8261 % Root relative squared error 36.9488 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.911 0.01 0.937 0.911 0.924 0.951 chest 0.913 0.014 0.915 0.913 0.914 0.949 forearm 0.957 0.016 0.91 0.957 0.933 0.97 head 0.978 0.002 0.99 0.978 0.984 0.988 shin 0.967 0.003 0.98 0.967 0.973 0.982 thigh 0.947 0.017 0.901 0.947 0.924 0.965 upperarm 0.917 0.006 0.963 0.917 0.94 0.956 waist Weighted Avg. 0.941 0.01 0.942 0.941 0.942 0.966 === Confusion Matrix === a b c d e f g <-- classified as 462 3 2 0 4 35 1 | a = chest 0 460 29 2 1 4 8 | b = forearm 2 11 486 0 0 2 7 | c = head 4 1 0 497 0 4 2 | d = shin 6 5 0 1 492 5 0 | e = thigh 16 4 1 2 4 483 0 | f = upperarm 3 19 16 0 1 3 467 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3334 93.7834 % Incorrectly Classified Instances 221 6.2166 % Kappa statistic 0.9275 Mean absolute error 0.0178 Root mean squared error 0.1333 Relative absolute error 7.2527 % Root relative squared error 38.086 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.917 0.012 0.926 0.917 0.922 0.953 chest 0.911 0.02 0.881 0.911 0.896 0.945 forearm 0.941 0.012 0.928 0.941 0.935 0.964 head 0.969 0.003 0.982 0.969 0.975 0.983 shin 0.965 0.003 0.98 0.965 0.972 0.981 thigh 0.927 0.014 0.918 0.927 0.923 0.957 upperarm 0.935 0.008 0.952 0.935 0.944 0.964 waist Weighted Avg. 0.938 0.01 0.938 0.938 0.938 0.964 === Confusion Matrix === a b c d e f g <-- classified as 465 5 3 4 3 26 1 | a = chest 0 459 23 1 1 5 15 | b = forearm 0 24 478 0 1 0 5 | c = head 3 7 1 493 2 2 1 | d = shin 5 1 2 0 491 8 2 | e = thigh 26 8 0 2 1 472 0 | f = upperarm 3 17 8 2 2 1 476 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3309 93.0802 % Incorrectly Classified Instances 246 6.9198 % Kappa statistic 0.9193 Mean absolute error 0.0198 Root mean squared error 0.1406 Relative absolute error 8.0732 % Root relative squared error 40.1825 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.917 0.011 0.932 0.917 0.924 0.953 chest 0.899 0.017 0.897 0.899 0.898 0.941 forearm 0.917 0.021 0.879 0.917 0.898 0.948 head 0.972 0.003 0.984 0.972 0.978 0.985 shin 0.961 0.006 0.966 0.961 0.964 0.978 thigh 0.931 0.016 0.906 0.931 0.919 0.958 upperarm 0.917 0.007 0.955 0.917 0.936 0.955 waist Weighted Avg. 0.931 0.012 0.931 0.931 0.931 0.96 === Confusion Matrix === a b c d e f g <-- classified as 465 0 3 3 4 31 1 | a = chest 2 453 33 0 3 3 10 | b = forearm 4 23 466 0 4 2 9 | c = head 6 2 3 495 0 3 0 | d = shin 6 1 1 3 489 9 0 | e = thigh 15 8 5 2 3 474 2 | f = upperarm 1 18 19 0 3 1 467 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3342 94.0084 % Incorrectly Classified Instances 213 5.9916 % Kappa statistic 0.9301 Mean absolute error 0.0171 Root mean squared error 0.1308 Relative absolute error 6.9902 % Root relative squared error 37.3903 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.907 0.011 0.929 0.907 0.918 0.948 chest 0.883 0.01 0.935 0.883 0.908 0.937 forearm 0.961 0.013 0.922 0.961 0.941 0.974 head 0.974 0.001 0.994 0.974 0.984 0.987 shin 0.974 0.007 0.961 0.974 0.968 0.984 thigh 0.939 0.017 0.904 0.939 0.921 0.961 upperarm 0.941 0.011 0.937 0.941 0.939 0.965 waist Weighted Avg. 0.94 0.01 0.94 0.94 0.94 0.965 === Confusion Matrix === a b c d e f g <-- classified as 460 2 7 1 7 29 1 | a = chest 2 446 22 0 5 9 21 | b = forearm 2 12 488 0 0 0 6 | c = head 2 3 1 495 3 3 1 | d = shin 4 1 1 1 496 4 2 | e = thigh 24 2 0 1 3 478 1 | f = upperarm 1 11 10 0 2 6 479 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3357 94.4569 % Incorrectly Classified Instances 197 5.5431 % Kappa statistic 0.9353 Mean absolute error 0.0158 Root mean squared error 0.1258 Relative absolute error 6.4669 % Root relative squared error 35.9636 % Total Number of Instances 3554 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.919 0.01 0.938 0.919 0.928 0.954 chest 0.909 0.013 0.918 0.909 0.913 0.948 forearm 0.953 0.016 0.908 0.953 0.93 0.968 head 0.988 0.003 0.98 0.988 0.984 0.992 shin 0.969 0.005 0.97 0.969 0.969 0.982 thigh 0.929 0.012 0.929 0.929 0.929 0.959 upperarm 0.945 0.005 0.97 0.945 0.957 0.97 waist Weighted Avg. 0.945 0.009 0.945 0.945 0.945 0.968 === Confusion Matrix === a b c d e f g <-- classified as 466 3 6 4 3 25 0 | a = chest 3 459 22 3 5 5 8 | b = forearm 1 18 484 0 2 0 3 | c = head 2 1 3 502 0 0 0 | d = shin 4 1 4 2 492 2 3 | e = thigh 20 10 2 0 3 473 1 | f = upperarm 1 8 12 1 2 4 481 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3326 93.5847 % Incorrectly Classified Instances 228 6.4153 % Kappa statistic 0.9252 Mean absolute error 0.0183 Root mean squared error 0.1354 Relative absolute error 7.4845 % Root relative squared error 38.6899 % Total Number of Instances 3554 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.903 0.011 0.929 0.903 0.916 0.946 chest 0.889 0.013 0.916 0.889 0.902 0.938 forearm 0.949 0.016 0.909 0.949 0.929 0.967 head 0.974 0.003 0.984 0.974 0.979 0.986 shin 0.98 0.007 0.96 0.98 0.97 0.987 thigh 0.912 0.017 0.897 0.912 0.904 0.947 upperarm 0.943 0.007 0.956 0.943 0.95 0.968 waist Weighted Avg. 0.936 0.011 0.936 0.936 0.936 0.963 === Confusion Matrix === a b c d e f g <-- classified as 458 5 2 3 5 33 1 | a = chest 1 448 32 2 5 7 9 | b = forearm 2 15 482 0 1 2 6 | c = head 5 1 2 495 1 3 1 | d = shin 4 1 2 1 499 1 1 | e = thigh 22 7 4 2 6 464 4 | f = upperarm 1 12 6 0 3 7 480 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 8 FOLD: 0 Correctly Classified Instances 3335 93.8115 % Incorrectly Classified Instances 220 6.1885 % Kappa statistic 0.9278 Mean absolute error 0.0177 Root mean squared error 0.133 Relative absolute error 7.2199 % Root relative squared error 37.9997 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.905 0.011 0.929 0.905 0.917 0.947 chest 0.885 0.011 0.927 0.885 0.906 0.937 forearm 0.959 0.017 0.905 0.959 0.931 0.971 head 0.978 0.004 0.978 0.978 0.978 0.987 shin 0.957 0.004 0.978 0.957 0.967 0.977 thigh 0.957 0.018 0.899 0.957 0.927 0.969 upperarm 0.925 0.007 0.955 0.925 0.94 0.959 waist Weighted Avg. 0.938 0.01 0.939 0.938 0.938 0.964 === Confusion Matrix === a b c d e f g <-- classified as 459 1 6 3 3 34 1 | a = chest 4 447 27 2 3 10 12 | b = forearm 2 12 487 0 1 1 5 | c = head 3 1 3 497 1 2 1 | d = shin 9 3 0 3 487 5 2 | e = thigh 12 4 1 3 1 487 1 | f = upperarm 5 14 14 0 2 3 471 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3333 93.7553 % Incorrectly Classified Instances 222 6.2447 % Kappa statistic 0.9271 Mean absolute error 0.0178 Root mean squared error 0.1336 Relative absolute error 7.2855 % Root relative squared error 38.1721 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.903 0.011 0.929 0.903 0.916 0.946 chest 0.907 0.012 0.925 0.907 0.916 0.947 forearm 0.955 0.014 0.919 0.955 0.936 0.97 head 0.98 0.005 0.971 0.98 0.976 0.988 shin 0.961 0.008 0.953 0.961 0.957 0.976 thigh 0.927 0.014 0.915 0.927 0.921 0.957 upperarm 0.929 0.008 0.952 0.929 0.94 0.961 waist Weighted Avg. 0.938 0.01 0.938 0.938 0.937 0.964 === Confusion Matrix === a b c d e f g <-- classified as 458 1 2 9 10 26 1 | a = chest 1 457 24 0 4 6 12 | b = forearm 1 11 485 0 1 1 9 | c = head 0 2 4 498 2 2 0 | d = shin 7 4 1 0 489 8 0 | e = thigh 24 4 0 5 2 473 2 | f = upperarm 2 15 12 1 5 1 473 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3326 93.5584 % Incorrectly Classified Instances 229 6.4416 % Kappa statistic 0.9248 Mean absolute error 0.0184 Root mean squared error 0.1357 Relative absolute error 7.5153 % Root relative squared error 38.7692 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.921 0.01 0.938 0.921 0.929 0.955 chest 0.887 0.017 0.896 0.887 0.891 0.935 forearm 0.923 0.016 0.907 0.923 0.915 0.954 head 0.974 0.002 0.986 0.974 0.98 0.986 shin 0.969 0.004 0.978 0.969 0.973 0.982 thigh 0.935 0.016 0.905 0.935 0.92 0.959 upperarm 0.939 0.01 0.941 0.939 0.94 0.965 waist Weighted Avg. 0.936 0.011 0.936 0.936 0.936 0.962 === Confusion Matrix === a b c d e f g <-- classified as 467 1 6 2 5 26 0 | a = chest 2 447 25 4 1 9 16 | b = forearm 2 23 470 0 0 1 13 | c = head 4 3 0 495 2 4 0 | d = shin 4 2 1 0 493 8 1 | e = thigh 18 8 4 0 3 476 0 | f = upperarm 1 15 12 1 0 2 478 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3338 93.8959 % Incorrectly Classified Instances 217 6.1041 % Kappa statistic 0.9288 Mean absolute error 0.0174 Root mean squared error 0.1321 Relative absolute error 7.1214 % Root relative squared error 37.7397 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.895 0.009 0.944 0.895 0.919 0.943 chest 0.925 0.019 0.889 0.925 0.907 0.953 forearm 0.945 0.014 0.92 0.945 0.932 0.966 head 0.965 0.002 0.99 0.965 0.977 0.981 shin 0.976 0.007 0.959 0.976 0.968 0.985 thigh 0.943 0.016 0.906 0.943 0.924 0.963 upperarm 0.923 0.005 0.971 0.923 0.947 0.959 waist Weighted Avg. 0.939 0.01 0.94 0.939 0.939 0.964 === Confusion Matrix === a b c d e f g <-- classified as 454 6 4 3 5 35 0 | a = chest 1 466 22 0 3 4 8 | b = forearm 0 22 481 0 1 0 5 | c = head 2 4 4 490 2 5 1 | d = shin 4 3 0 0 497 5 0 | e = thigh 17 9 1 0 2 480 0 | f = upperarm 3 14 11 2 8 1 470 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3325 93.5302 % Incorrectly Classified Instances 230 6.4698 % Kappa statistic 0.9245 Mean absolute error 0.0185 Root mean squared error 0.136 Relative absolute error 7.5481 % Root relative squared error 38.8537 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.913 0.012 0.928 0.913 0.92 0.951 chest 0.897 0.015 0.906 0.897 0.901 0.941 forearm 0.937 0.014 0.919 0.937 0.928 0.962 head 0.957 0.004 0.976 0.957 0.966 0.976 shin 0.969 0.006 0.963 0.969 0.966 0.981 thigh 0.937 0.015 0.91 0.937 0.924 0.961 upperarm 0.937 0.009 0.946 0.937 0.942 0.964 waist Weighted Avg. 0.935 0.011 0.936 0.935 0.935 0.962 === Confusion Matrix === a b c d e f g <-- classified as 463 3 4 4 5 27 1 | a = chest 5 452 20 4 3 6 14 | b = forearm 1 19 477 1 3 1 7 | c = head 6 4 1 486 4 5 2 | d = shin 5 3 1 0 493 5 2 | e = thigh 17 8 0 3 3 477 1 | f = upperarm 2 10 16 0 1 3 477 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3352 94.2897 % Incorrectly Classified Instances 203 5.7103 % Kappa statistic 0.9334 Mean absolute error 0.0163 Root mean squared error 0.1277 Relative absolute error 6.662 % Root relative squared error 36.502 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.927 0.013 0.92 0.927 0.923 0.957 chest 0.915 0.014 0.913 0.915 0.914 0.95 forearm 0.939 0.011 0.937 0.939 0.938 0.964 head 0.976 0.003 0.98 0.976 0.978 0.987 shin 0.972 0.004 0.978 0.972 0.975 0.984 thigh 0.927 0.015 0.911 0.927 0.919 0.956 upperarm 0.943 0.006 0.962 0.943 0.952 0.968 waist Weighted Avg. 0.943 0.01 0.943 0.943 0.943 0.967 === Confusion Matrix === a b c d e f g <-- classified as 470 2 0 4 3 28 0 | a = chest 3 461 19 1 3 8 9 | b = forearm 2 21 478 1 0 0 7 | c = head 3 2 1 496 1 4 1 | d = shin 4 1 1 2 495 5 1 | e = thigh 25 7 0 2 2 472 1 | f = upperarm 4 11 11 0 2 1 480 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3324 93.5021 % Incorrectly Classified Instances 231 6.4979 % Kappa statistic 0.9242 Mean absolute error 0.0186 Root mean squared error 0.1363 Relative absolute error 7.5809 % Root relative squared error 38.9381 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.925 0.016 0.904 0.925 0.914 0.954 chest 0.891 0.016 0.902 0.891 0.896 0.937 forearm 0.939 0.018 0.898 0.939 0.918 0.961 head 0.984 0.002 0.988 0.984 0.986 0.991 shin 0.967 0.004 0.974 0.967 0.97 0.981 thigh 0.914 0.011 0.93 0.914 0.922 0.951 upperarm 0.925 0.008 0.952 0.925 0.938 0.959 waist Weighted Avg. 0.935 0.011 0.935 0.935 0.935 0.962 === Confusion Matrix === a b c d e f g <-- classified as 469 3 2 3 3 25 2 | a = chest 4 449 36 3 0 1 11 | b = forearm 3 15 477 0 3 2 8 | c = head 2 2 1 501 1 0 2 | d = shin 8 1 2 0 492 5 1 | e = thigh 31 8 1 0 4 465 0 | f = upperarm 2 20 12 0 2 2 471 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3335 93.8115 % Incorrectly Classified Instances 220 6.1885 % Kappa statistic 0.9278 Mean absolute error 0.0177 Root mean squared error 0.133 Relative absolute error 7.2199 % Root relative squared error 37.9997 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.935 0.015 0.913 0.935 0.924 0.96 chest 0.905 0.017 0.896 0.905 0.9 0.944 forearm 0.945 0.016 0.906 0.945 0.925 0.964 head 0.982 0.001 0.994 0.982 0.988 0.991 shin 0.972 0.008 0.956 0.972 0.964 0.982 thigh 0.917 0.01 0.938 0.917 0.928 0.954 upperarm 0.91 0.005 0.969 0.91 0.938 0.952 waist Weighted Avg. 0.938 0.01 0.939 0.938 0.938 0.964 === Confusion Matrix === a b c d e f g <-- classified as 474 4 3 1 4 21 0 | a = chest 2 456 29 0 3 5 9 | b = forearm 3 18 480 0 4 0 3 | c = head 3 3 1 500 2 0 0 | d = shin 7 0 2 1 495 2 2 | e = thigh 26 8 1 0 6 467 1 | f = upperarm 4 20 14 1 4 3 463 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3330 93.6972 % Incorrectly Classified Instances 224 6.3028 % Kappa statistic 0.9265 Mean absolute error 0.018 Root mean squared error 0.1342 Relative absolute error 7.3532 % Root relative squared error 38.349 % Total Number of Instances 3554 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.925 0.012 0.925 0.925 0.925 0.956 chest 0.903 0.014 0.915 0.903 0.909 0.945 forearm 0.947 0.015 0.914 0.947 0.93 0.966 head 0.976 0.003 0.982 0.976 0.979 0.987 shin 0.957 0.005 0.968 0.957 0.962 0.976 thigh 0.914 0.016 0.906 0.914 0.91 0.949 upperarm 0.937 0.009 0.948 0.937 0.943 0.964 waist Weighted Avg. 0.937 0.01 0.937 0.937 0.937 0.963 === Confusion Matrix === a b c d e f g <-- classified as 469 1 1 4 5 26 1 | a = chest 0 455 25 0 0 9 15 | b = forearm 1 18 481 0 1 1 6 | c = head 5 1 0 496 3 1 2 | d = shin 2 5 3 2 487 9 1 | e = thigh 27 3 6 3 4 465 1 | f = upperarm 3 14 10 0 3 2 477 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3324 93.5284 % Incorrectly Classified Instances 230 6.4716 % Kappa statistic 0.9245 Mean absolute error 0.0185 Root mean squared error 0.136 Relative absolute error 7.5502 % Root relative squared error 38.8592 % Total Number of Instances 3554 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.897 0.01 0.938 0.897 0.917 0.944 chest 0.913 0.015 0.909 0.913 0.911 0.949 forearm 0.941 0.016 0.905 0.941 0.923 0.962 head 0.984 0.002 0.988 0.984 0.986 0.991 shin 0.957 0.004 0.974 0.957 0.965 0.976 thigh 0.917 0.021 0.881 0.917 0.899 0.948 upperarm 0.937 0.007 0.956 0.937 0.946 0.965 waist Weighted Avg. 0.935 0.011 0.936 0.935 0.935 0.962 === Confusion Matrix === a b c d e f g <-- classified as 455 2 4 2 4 39 1 | a = chest 0 461 24 0 2 8 10 | b = forearm 0 21 478 0 1 2 6 | c = head 2 0 2 500 0 3 1 | d = shin 4 4 2 2 486 7 3 | e = thigh 24 8 5 1 3 467 1 | f = upperarm 0 11 13 1 3 4 477 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 9 FOLD: 0 Correctly Classified Instances 3320 93.3896 % Incorrectly Classified Instances 235 6.6104 % Kappa statistic 0.9229 Mean absolute error 0.0189 Root mean squared error 0.1374 Relative absolute error 7.7122 % Root relative squared error 39.2738 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.915 0.014 0.917 0.915 0.916 0.951 chest 0.895 0.015 0.908 0.895 0.901 0.94 forearm 0.947 0.016 0.908 0.947 0.927 0.965 head 0.972 0.004 0.978 0.972 0.975 0.984 shin 0.967 0.005 0.972 0.967 0.969 0.981 thigh 0.923 0.016 0.904 0.923 0.914 0.953 upperarm 0.917 0.008 0.953 0.917 0.935 0.955 waist Weighted Avg. 0.934 0.011 0.934 0.934 0.934 0.961 === Confusion Matrix === a b c d e f g <-- classified as 464 3 3 1 4 30 2 | a = chest 4 452 27 0 3 6 13 | b = forearm 2 16 481 1 0 1 7 | c = head 3 1 2 494 2 5 1 | d = shin 7 5 0 1 492 4 0 | e = thigh 24 4 2 7 2 470 0 | f = upperarm 2 17 15 1 3 4 467 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3358 94.4585 % Incorrectly Classified Instances 197 5.5415 % Kappa statistic 0.9353 Mean absolute error 0.0158 Root mean squared error 0.1258 Relative absolute error 6.4651 % Root relative squared error 35.9585 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.915 0.009 0.945 0.915 0.93 0.953 chest 0.913 0.014 0.915 0.913 0.914 0.949 forearm 0.951 0.015 0.913 0.951 0.932 0.968 head 0.986 0.001 0.994 0.986 0.99 0.993 shin 0.972 0.006 0.965 0.972 0.969 0.983 thigh 0.923 0.014 0.918 0.923 0.921 0.955 upperarm 0.951 0.006 0.964 0.951 0.957 0.972 waist Weighted Avg. 0.945 0.009 0.945 0.945 0.945 0.968 === Confusion Matrix === a b c d e f g <-- classified as 464 5 3 1 6 26 2 | a = chest 0 461 28 0 1 7 8 | b = forearm 2 14 483 0 1 2 6 | c = head 0 2 0 501 3 1 1 | d = shin 4 1 2 0 495 6 1 | e = thigh 21 11 1 2 4 470 0 | f = upperarm 0 10 12 0 3 0 484 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3354 94.346 % Incorrectly Classified Instances 201 5.654 % Kappa statistic 0.934 Mean absolute error 0.0162 Root mean squared error 0.1271 Relative absolute error 6.5964 % Root relative squared error 36.3218 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.929 0.011 0.931 0.929 0.93 0.959 chest 0.895 0.013 0.917 0.895 0.906 0.941 forearm 0.965 0.014 0.919 0.965 0.941 0.975 head 0.974 0.003 0.984 0.974 0.979 0.986 shin 0.961 0.002 0.986 0.961 0.973 0.979 thigh 0.937 0.017 0.904 0.937 0.92 0.96 upperarm 0.943 0.005 0.968 0.943 0.955 0.969 waist Weighted Avg. 0.943 0.009 0.944 0.943 0.944 0.967 === Confusion Matrix === a b c d e f g <-- classified as 471 2 1 2 2 29 0 | a = chest 1 451 29 1 1 8 13 | b = forearm 2 12 490 0 0 1 3 | c = head 5 1 1 495 1 5 0 | d = shin 6 4 1 2 489 7 0 | e = thigh 18 7 2 3 2 478 0 | f = upperarm 3 15 9 0 1 1 480 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3317 93.3052 % Incorrectly Classified Instances 238 6.6948 % Kappa statistic 0.9219 Mean absolute error 0.0191 Root mean squared error 0.1383 Relative absolute error 7.8106 % Root relative squared error 39.5237 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.905 0.014 0.916 0.905 0.911 0.946 chest 0.887 0.015 0.905 0.887 0.896 0.936 forearm 0.935 0.015 0.912 0.935 0.923 0.96 head 0.984 0.004 0.978 0.984 0.981 0.99 shin 0.959 0.005 0.97 0.959 0.964 0.977 thigh 0.916 0.019 0.891 0.916 0.903 0.948 upperarm 0.945 0.007 0.96 0.945 0.952 0.969 waist Weighted Avg. 0.933 0.011 0.933 0.933 0.933 0.961 === Confusion Matrix === a b c d e f g <-- classified as 459 3 2 6 4 32 1 | a = chest 4 447 24 2 4 11 12 | b = forearm 3 24 476 0 1 0 5 | c = head 2 2 1 500 2 1 0 | d = shin 3 1 5 3 488 8 1 | e = thigh 29 7 4 0 2 466 1 | f = upperarm 1 10 10 0 2 5 481 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3338 93.8959 % Incorrectly Classified Instances 217 6.1041 % Kappa statistic 0.9288 Mean absolute error 0.0174 Root mean squared error 0.1321 Relative absolute error 7.1214 % Root relative squared error 37.7397 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.919 0.013 0.923 0.919 0.921 0.953 chest 0.917 0.016 0.902 0.917 0.909 0.95 forearm 0.939 0.012 0.93 0.939 0.935 0.964 head 0.974 0.003 0.982 0.974 0.978 0.986 shin 0.955 0.005 0.97 0.955 0.962 0.975 thigh 0.935 0.015 0.91 0.935 0.922 0.96 upperarm 0.933 0.007 0.958 0.933 0.945 0.963 waist Weighted Avg. 0.939 0.01 0.939 0.939 0.939 0.964 === Confusion Matrix === a b c d e f g <-- classified as 466 3 3 4 5 25 1 | a = chest 3 462 24 1 2 4 8 | b = forearm 1 17 478 0 4 2 7 | c = head 4 2 1 495 1 3 2 | d = shin 9 3 0 1 486 8 2 | e = thigh 20 8 1 2 1 476 1 | f = upperarm 2 17 7 1 2 5 475 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3312 93.1646 % Incorrectly Classified Instances 243 6.8354 % Kappa statistic 0.9203 Mean absolute error 0.0195 Root mean squared error 0.1397 Relative absolute error 7.9747 % Root relative squared error 39.9367 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.893 0.013 0.921 0.893 0.907 0.94 chest 0.901 0.014 0.913 0.901 0.907 0.943 forearm 0.929 0.019 0.892 0.929 0.91 0.955 head 0.957 0.002 0.986 0.957 0.971 0.977 shin 0.965 0.003 0.984 0.965 0.974 0.981 thigh 0.935 0.021 0.883 0.935 0.908 0.957 upperarm 0.941 0.009 0.949 0.941 0.945 0.966 waist Weighted Avg. 0.932 0.011 0.933 0.932 0.932 0.96 === Confusion Matrix === a b c d e f g <-- classified as 453 1 5 1 2 41 4 | a = chest 2 454 29 3 1 5 10 | b = forearm 2 21 473 0 2 1 10 | c = head 8 3 3 486 2 6 0 | d = shin 4 3 2 0 491 8 1 | e = thigh 22 4 3 2 1 476 1 | f = upperarm 1 11 15 1 0 2 479 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3339 93.9241 % Incorrectly Classified Instances 216 6.0759 % Kappa statistic 0.9291 Mean absolute error 0.0174 Root mean squared error 0.1318 Relative absolute error 7.0886 % Root relative squared error 37.6527 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.913 0.01 0.941 0.913 0.927 0.952 chest 0.899 0.016 0.902 0.899 0.901 0.941 forearm 0.943 0.013 0.923 0.943 0.933 0.965 head 0.978 0.003 0.984 0.978 0.981 0.988 shin 0.986 0.007 0.962 0.986 0.974 0.99 thigh 0.935 0.014 0.919 0.935 0.927 0.961 upperarm 0.919 0.009 0.944 0.919 0.931 0.955 waist Weighted Avg. 0.939 0.01 0.939 0.939 0.939 0.965 === Confusion Matrix === a b c d e f g <-- classified as 463 2 3 3 6 29 1 | a = chest 0 453 18 3 6 7 17 | b = forearm 2 22 480 0 1 1 3 | c = head 3 2 1 497 0 1 4 | d = shin 1 1 1 0 502 2 2 | e = thigh 19 6 1 2 4 476 1 | f = upperarm 4 16 16 0 3 2 468 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3324 93.5021 % Incorrectly Classified Instances 231 6.4979 % Kappa statistic 0.9242 Mean absolute error 0.0186 Root mean squared error 0.1363 Relative absolute error 7.5809 % Root relative squared error 38.9381 % Total Number of Instances 3555 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.895 0.01 0.938 0.895 0.916 0.943 chest 0.907 0.016 0.905 0.907 0.906 0.946 forearm 0.943 0.015 0.911 0.943 0.926 0.964 head 0.972 0.003 0.982 0.972 0.977 0.985 shin 0.959 0.004 0.976 0.959 0.967 0.977 thigh 0.949 0.021 0.885 0.949 0.916 0.964 upperarm 0.919 0.007 0.955 0.919 0.937 0.956 waist Weighted Avg. 0.935 0.011 0.936 0.935 0.935 0.962 === Confusion Matrix === a b c d e f g <-- classified as 454 4 4 4 4 33 4 | a = chest 2 457 25 0 2 11 7 | b = forearm 1 19 479 0 1 1 7 | c = head 1 6 4 495 0 3 0 | d = shin 6 1 0 4 488 8 2 | e = thigh 18 4 0 1 1 483 2 | f = upperarm 2 14 14 0 4 7 468 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3337 93.8942 % Incorrectly Classified Instances 217 6.1058 % Kappa statistic 0.9288 Mean absolute error 0.0174 Root mean squared error 0.1321 Relative absolute error 7.1234 % Root relative squared error 37.745 % Total Number of Instances 3554 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.905 0.01 0.939 0.905 0.922 0.948 chest 0.921 0.018 0.894 0.921 0.907 0.951 forearm 0.949 0.014 0.92 0.949 0.934 0.968 head 0.978 0.004 0.978 0.978 0.978 0.987 shin 0.967 0.003 0.98 0.967 0.973 0.982 thigh 0.923 0.012 0.925 0.923 0.924 0.955 upperarm 0.929 0.01 0.938 0.929 0.934 0.96 waist Weighted Avg. 0.939 0.01 0.939 0.939 0.939 0.964 === Confusion Matrix === a b c d e f g <-- classified as 459 5 3 6 4 30 0 | a = chest 1 464 20 0 2 4 13 | b = forearm 0 13 482 0 1 0 12 | c = head 3 3 1 498 0 2 2 | d = shin 2 4 3 4 491 2 2 | e = thigh 20 12 2 1 2 470 2 | f = upperarm 4 18 13 0 1 0 473 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3332 93.7535 % Incorrectly Classified Instances 222 6.2465 % Kappa statistic 0.9271 Mean absolute error 0.0178 Root mean squared error 0.1336 Relative absolute error 7.2876 % Root relative squared error 38.1774 % Total Number of Instances 3554 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.921 0.011 0.93 0.921 0.926 0.955 chest 0.909 0.02 0.884 0.909 0.896 0.945 forearm 0.949 0.016 0.908 0.949 0.928 0.966 head 0.97 0.002 0.99 0.97 0.98 0.984 shin 0.976 0.006 0.963 0.976 0.97 0.985 thigh 0.916 0.011 0.932 0.916 0.924 0.952 upperarm 0.921 0.007 0.959 0.921 0.94 0.957 waist Weighted Avg. 0.938 0.01 0.938 0.938 0.938 0.964 === Confusion Matrix === a b c d e f g <-- classified as 467 3 2 4 5 26 0 | a = chest 2 458 28 0 4 1 11 | b = forearm 2 18 482 0 2 0 4 | c = head 6 1 2 493 2 2 2 | d = shin 3 5 0 0 497 2 2 | e = thigh 19 13 4 0 6 466 1 | f = upperarm 3 20 13 1 0 3 469 | g = waist ------------------------------------------------------------------------------------------------------ SUBJECT: 8 RUN: 0 FOLD: 0 Correctly Classified Instances 3206 79.4154 % Incorrectly Classified Instances 831 20.5846 % Kappa statistic 0.7598 Mean absolute error 0.0588 Root mean squared error 0.2425 Relative absolute error 24.0154 % Root relative squared error 69.3042 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.71 0.034 0.776 0.71 0.742 0.838 chest 0.687 0.029 0.8 0.687 0.739 0.829 forearm 0.827 0.05 0.733 0.827 0.777 0.888 head 0.894 0.03 0.834 0.894 0.863 0.932 shin 0.894 0.028 0.843 0.894 0.868 0.933 thigh 0.768 0.029 0.814 0.768 0.79 0.869 upperarm 0.778 0.04 0.762 0.778 0.77 0.869 waist Weighted Avg. 0.794 0.034 0.795 0.794 0.793 0.88 === Confusion Matrix === a b c d e f g <-- classified as 409 25 30 19 12 22 59 | a = chest 36 395 55 17 15 38 19 | b = forearm 12 27 477 9 3 20 29 | c = head 4 1 8 516 39 2 7 | d = shin 7 6 6 23 517 12 7 | e = thigh 21 28 35 17 14 443 19 | f = upperarm 38 12 40 18 13 7 449 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3238 80.2081 % Incorrectly Classified Instances 799 19.7919 % Kappa statistic 0.7691 Mean absolute error 0.0565 Root mean squared error 0.2378 Relative absolute error 23.0906 % Root relative squared error 67.9567 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.748 0.031 0.798 0.748 0.772 0.858 chest 0.694 0.027 0.808 0.694 0.746 0.833 forearm 0.827 0.04 0.777 0.827 0.801 0.894 head 0.906 0.032 0.824 0.906 0.863 0.937 shin 0.881 0.033 0.817 0.881 0.848 0.924 thigh 0.75 0.028 0.819 0.75 0.783 0.861 upperarm 0.808 0.039 0.774 0.808 0.791 0.884 waist Weighted Avg. 0.802 0.033 0.802 0.802 0.801 0.885 === Confusion Matrix === a b c d e f g <-- classified as 431 24 32 17 16 13 43 | a = chest 31 399 38 15 33 36 23 | b = forearm 15 14 477 7 3 28 33 | c = head 2 11 5 523 25 6 5 | d = shin 6 9 8 30 509 8 8 | e = thigh 19 24 27 24 26 433 24 | f = upperarm 36 13 27 19 11 5 466 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3233 80.0842 % Incorrectly Classified Instances 804 19.9158 % Kappa statistic 0.7676 Mean absolute error 0.0569 Root mean squared error 0.2385 Relative absolute error 23.2351 % Root relative squared error 68.169 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.714 0.024 0.83 0.714 0.768 0.845 chest 0.722 0.034 0.777 0.722 0.748 0.844 forearm 0.817 0.039 0.776 0.817 0.796 0.889 head 0.894 0.032 0.823 0.894 0.857 0.931 shin 0.872 0.034 0.813 0.872 0.841 0.919 thigh 0.778 0.031 0.808 0.778 0.793 0.874 upperarm 0.809 0.038 0.781 0.809 0.795 0.886 waist Weighted Avg. 0.801 0.033 0.801 0.801 0.8 0.884 === Confusion Matrix === a b c d e f g <-- classified as 411 29 26 19 16 26 49 | a = chest 22 415 50 19 19 29 21 | b = forearm 9 28 472 6 10 24 29 | c = head 2 8 4 516 36 5 6 | d = shin 8 12 9 26 503 11 8 | e = thigh 12 29 25 25 19 449 18 | f = upperarm 31 13 22 16 16 12 467 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3235 80.1338 % Incorrectly Classified Instances 802 19.8662 % Kappa statistic 0.7682 Mean absolute error 0.0568 Root mean squared error 0.2382 Relative absolute error 23.1773 % Root relative squared error 68.0842 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.714 0.033 0.783 0.714 0.747 0.84 chest 0.69 0.026 0.814 0.69 0.747 0.832 forearm 0.843 0.037 0.793 0.843 0.817 0.903 head 0.898 0.028 0.842 0.898 0.869 0.935 shin 0.891 0.038 0.797 0.891 0.841 0.926 thigh 0.787 0.031 0.808 0.787 0.797 0.878 upperarm 0.787 0.039 0.772 0.787 0.779 0.874 waist Weighted Avg. 0.801 0.033 0.801 0.801 0.8 0.884 === Confusion Matrix === a b c d e f g <-- classified as 411 23 21 18 24 26 53 | a = chest 33 397 32 16 25 48 24 | b = forearm 15 19 487 5 7 16 29 | c = head 2 11 3 518 34 4 5 | d = shin 11 4 9 29 514 6 4 | e = thigh 16 23 28 17 20 454 19 | f = upperarm 37 11 34 12 21 8 454 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3254 80.6044 % Incorrectly Classified Instances 783 19.3956 % Kappa statistic 0.7737 Mean absolute error 0.0554 Root mean squared error 0.2354 Relative absolute error 22.6282 % Root relative squared error 67.2729 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.732 0.029 0.807 0.732 0.768 0.852 chest 0.71 0.034 0.776 0.71 0.741 0.838 forearm 0.83 0.036 0.795 0.83 0.812 0.897 head 0.896 0.028 0.843 0.896 0.869 0.934 shin 0.899 0.032 0.823 0.899 0.859 0.934 thigh 0.768 0.031 0.804 0.768 0.786 0.868 upperarm 0.806 0.036 0.789 0.806 0.798 0.885 waist Weighted Avg. 0.806 0.032 0.805 0.806 0.805 0.887 === Confusion Matrix === a b c d e f g <-- classified as 421 29 22 18 22 21 42 | a = chest 21 408 35 18 26 44 23 | b = forearm 12 22 480 4 7 25 28 | c = head 8 11 4 517 29 3 5 | d = shin 5 6 6 25 519 8 8 | e = thigh 18 40 25 17 16 444 18 | f = upperarm 37 10 32 14 12 7 465 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3163 78.3503 % Incorrectly Classified Instances 874 21.6497 % Kappa statistic 0.7474 Mean absolute error 0.0619 Root mean squared error 0.2487 Relative absolute error 25.258 % Root relative squared error 71.0747 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.722 0.036 0.771 0.722 0.746 0.843 chest 0.694 0.038 0.753 0.694 0.722 0.828 forearm 0.775 0.041 0.761 0.775 0.768 0.867 head 0.891 0.033 0.818 0.891 0.853 0.929 shin 0.879 0.034 0.812 0.879 0.844 0.922 thigh 0.7 0.032 0.786 0.7 0.741 0.834 upperarm 0.823 0.04 0.776 0.823 0.799 0.892 waist Weighted Avg. 0.784 0.036 0.782 0.784 0.782 0.874 === Confusion Matrix === a b c d e f g <-- classified as 415 30 25 18 16 28 43 | a = chest 29 399 50 26 20 35 16 | b = forearm 19 29 448 7 3 30 42 | c = head 7 12 3 514 35 3 3 | d = shin 5 13 4 28 508 11 9 | e = thigh 28 35 35 25 26 404 24 | f = upperarm 35 12 24 10 18 3 475 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3206 79.4351 % Incorrectly Classified Instances 830 20.5649 % Kappa statistic 0.7601 Mean absolute error 0.0588 Root mean squared error 0.2424 Relative absolute error 23.9924 % Root relative squared error 69.2711 % Total Number of Instances 4036 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.703 0.032 0.785 0.703 0.742 0.836 chest 0.698 0.029 0.798 0.698 0.744 0.834 forearm 0.856 0.044 0.764 0.856 0.807 0.906 head 0.901 0.038 0.8 0.901 0.847 0.932 shin 0.844 0.032 0.815 0.844 0.829 0.906 thigh 0.759 0.029 0.814 0.759 0.786 0.865 upperarm 0.799 0.036 0.789 0.799 0.794 0.882 waist Weighted Avg. 0.794 0.034 0.795 0.794 0.793 0.88 === Confusion Matrix === a b c d e f g <-- classified as 405 33 28 21 20 27 42 | a = chest 27 402 45 16 29 30 27 | b = forearm 21 11 494 6 3 16 26 | c = head 5 14 6 519 23 4 5 | d = shin 12 7 7 43 488 17 4 | e = thigh 22 23 32 21 22 438 19 | f = upperarm 24 14 35 23 14 6 460 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3224 79.8811 % Incorrectly Classified Instances 812 20.1189 % Kappa statistic 0.7653 Mean absolute error 0.0575 Root mean squared error 0.2398 Relative absolute error 23.4721 % Root relative squared error 68.5158 % Total Number of Instances 4036 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.757 0.029 0.812 0.757 0.783 0.864 chest 0.684 0.033 0.777 0.684 0.728 0.826 forearm 0.82 0.044 0.756 0.82 0.786 0.888 head 0.901 0.03 0.833 0.901 0.866 0.935 shin 0.884 0.033 0.819 0.884 0.85 0.926 thigh 0.738 0.029 0.808 0.738 0.772 0.855 upperarm 0.807 0.037 0.785 0.807 0.796 0.885 waist Weighted Avg. 0.799 0.034 0.799 0.799 0.797 0.883 === Confusion Matrix === a b c d e f g <-- classified as 436 23 25 15 15 14 48 | a = chest 33 394 50 21 24 34 20 | b = forearm 10 23 473 7 6 29 29 | c = head 4 10 6 519 29 5 3 | d = shin 3 14 12 22 511 9 7 | e = thigh 21 30 34 24 22 426 20 | f = upperarm 30 13 26 15 17 10 465 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3222 79.8315 % Incorrectly Classified Instances 814 20.1685 % Kappa statistic 0.7647 Mean absolute error 0.0576 Root mean squared error 0.2401 Relative absolute error 23.5299 % Root relative squared error 68.6002 % Total Number of Instances 4036 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.701 0.03 0.795 0.701 0.745 0.836 chest 0.706 0.033 0.779 0.706 0.741 0.836 forearm 0.853 0.042 0.771 0.853 0.81 0.905 head 0.903 0.035 0.812 0.903 0.855 0.934 shin 0.894 0.038 0.798 0.894 0.843 0.928 thigh 0.724 0.024 0.834 0.724 0.776 0.85 upperarm 0.806 0.033 0.803 0.806 0.804 0.886 waist Weighted Avg. 0.798 0.034 0.799 0.798 0.796 0.882 === Confusion Matrix === a b c d e f g <-- classified as 404 34 30 24 23 17 44 | a = chest 28 406 43 20 32 28 18 | b = forearm 15 22 492 5 5 17 21 | c = head 0 11 4 521 26 8 7 | d = shin 3 8 7 28 517 9 6 | e = thigh 18 31 40 24 28 418 18 | f = upperarm 40 9 22 20 17 4 464 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3201 79.3112 % Incorrectly Classified Instances 835 20.6888 % Kappa statistic 0.7586 Mean absolute error 0.0591 Root mean squared error 0.2431 Relative absolute error 24.1369 % Root relative squared error 69.4794 % Total Number of Instances 4036 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.743 0.033 0.788 0.743 0.765 0.855 chest 0.68 0.033 0.776 0.68 0.725 0.824 forearm 0.795 0.043 0.755 0.795 0.775 0.876 head 0.891 0.03 0.832 0.891 0.86 0.93 shin 0.894 0.033 0.819 0.894 0.855 0.931 thigh 0.75 0.029 0.811 0.75 0.779 0.861 upperarm 0.797 0.04 0.768 0.797 0.782 0.878 waist Weighted Avg. 0.793 0.034 0.793 0.793 0.792 0.879 === Confusion Matrix === a b c d e f g <-- classified as 428 25 29 23 10 15 46 | a = chest 27 391 45 8 28 48 28 | b = forearm 25 36 459 8 5 19 25 | c = head 4 9 4 514 34 6 6 | d = shin 3 3 8 28 517 7 12 | e = thigh 21 29 35 18 19 433 22 | f = upperarm 35 11 28 19 18 6 459 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 1 FOLD: 0 Correctly Classified Instances 3210 79.5145 % Incorrectly Classified Instances 827 20.4855 % Kappa statistic 0.761 Mean absolute error 0.0585 Root mean squared error 0.2419 Relative absolute error 23.8998 % Root relative squared error 69.1372 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.677 0.028 0.802 0.677 0.734 0.825 chest 0.727 0.031 0.795 0.727 0.76 0.848 forearm 0.832 0.045 0.756 0.832 0.792 0.894 head 0.898 0.03 0.834 0.898 0.865 0.934 shin 0.896 0.036 0.808 0.896 0.85 0.93 thigh 0.78 0.03 0.812 0.78 0.796 0.875 upperarm 0.755 0.04 0.759 0.755 0.757 0.858 waist Weighted Avg. 0.795 0.034 0.795 0.795 0.793 0.88 === Confusion Matrix === a b c d e f g <-- classified as 390 28 28 21 21 23 65 | a = chest 21 419 48 10 22 39 17 | b = forearm 13 22 481 5 7 22 28 | c = head 1 10 4 517 35 4 5 | d = shin 7 9 10 25 518 4 5 | e = thigh 12 26 28 24 19 450 18 | f = upperarm 42 13 37 18 19 12 435 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3204 79.3659 % Incorrectly Classified Instances 833 20.6341 % Kappa statistic 0.7593 Mean absolute error 0.059 Root mean squared error 0.2428 Relative absolute error 24.0732 % Root relative squared error 69.3876 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.747 0.03 0.805 0.747 0.775 0.858 chest 0.691 0.035 0.765 0.691 0.726 0.828 forearm 0.792 0.039 0.772 0.792 0.782 0.877 head 0.877 0.035 0.808 0.877 0.841 0.921 shin 0.869 0.031 0.824 0.869 0.846 0.919 thigh 0.771 0.034 0.793 0.771 0.782 0.869 upperarm 0.809 0.037 0.783 0.809 0.796 0.886 waist Weighted Avg. 0.794 0.034 0.793 0.794 0.793 0.88 === Confusion Matrix === a b c d e f g <-- classified as 430 37 22 13 15 20 39 | a = chest 23 398 41 22 30 41 21 | b = forearm 17 28 458 9 3 29 34 | c = head 4 13 3 505 30 10 11 | d = shin 6 7 9 38 502 10 6 | e = thigh 13 30 31 23 17 445 18 | f = upperarm 41 7 29 15 12 6 466 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3234 80.109 % Incorrectly Classified Instances 803 19.891 % Kappa statistic 0.7679 Mean absolute error 0.0568 Root mean squared error 0.2384 Relative absolute error 23.2062 % Root relative squared error 68.1266 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.726 0.027 0.818 0.726 0.769 0.849 chest 0.736 0.035 0.778 0.736 0.756 0.85 forearm 0.834 0.042 0.77 0.834 0.801 0.896 head 0.908 0.035 0.814 0.908 0.858 0.937 shin 0.879 0.032 0.822 0.879 0.849 0.924 thigh 0.719 0.025 0.828 0.719 0.77 0.847 upperarm 0.806 0.037 0.782 0.806 0.794 0.884 waist Weighted Avg. 0.801 0.033 0.802 0.801 0.8 0.884 === Confusion Matrix === a b c d e f g <-- classified as 418 29 23 20 18 29 39 | a = chest 26 423 47 22 13 22 22 | b = forearm 17 19 482 6 9 17 28 | c = head 4 12 6 524 25 2 4 | d = shin 5 11 6 29 508 9 10 | e = thigh 16 34 40 23 23 415 26 | f = upperarm 25 16 22 20 22 7 464 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3201 79.2916 % Incorrectly Classified Instances 836 20.7084 % Kappa statistic 0.7584 Mean absolute error 0.0592 Root mean squared error 0.2432 Relative absolute error 24.1599 % Root relative squared error 69.5124 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.753 0.033 0.791 0.753 0.772 0.86 chest 0.678 0.037 0.753 0.678 0.714 0.821 forearm 0.813 0.047 0.742 0.813 0.776 0.883 head 0.889 0.028 0.841 0.889 0.864 0.931 shin 0.881 0.032 0.82 0.881 0.849 0.924 thigh 0.733 0.029 0.809 0.733 0.769 0.852 upperarm 0.802 0.035 0.792 0.802 0.797 0.884 waist Weighted Avg. 0.793 0.035 0.793 0.793 0.792 0.879 === Confusion Matrix === a b c d e f g <-- classified as 434 27 25 19 13 23 35 | a = chest 38 390 55 12 24 35 21 | b = forearm 14 30 470 4 5 23 32 | c = head 3 13 3 513 31 8 6 | d = shin 3 11 14 28 509 7 6 | e = thigh 23 36 33 20 21 423 21 | f = upperarm 34 11 33 14 18 4 462 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3226 79.9108 % Incorrectly Classified Instances 811 20.0892 % Kappa statistic 0.7656 Mean absolute error 0.0574 Root mean squared error 0.2396 Relative absolute error 23.4374 % Root relative squared error 68.4651 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.71 0.027 0.813 0.71 0.758 0.841 chest 0.68 0.025 0.82 0.68 0.743 0.828 forearm 0.842 0.051 0.735 0.842 0.785 0.896 head 0.905 0.034 0.817 0.905 0.859 0.935 shin 0.889 0.034 0.816 0.889 0.851 0.928 thigh 0.764 0.025 0.834 0.764 0.797 0.869 upperarm 0.802 0.039 0.774 0.802 0.788 0.882 waist Weighted Avg. 0.799 0.033 0.801 0.799 0.797 0.883 === Confusion Matrix === a b c d e f g <-- classified as 409 19 39 22 19 12 56 | a = chest 28 391 46 15 30 38 27 | b = forearm 15 20 486 7 5 24 20 | c = head 3 8 6 522 32 3 3 | d = shin 4 4 12 29 514 6 9 | e = thigh 17 22 36 24 17 441 20 | f = upperarm 27 13 36 20 13 5 463 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3226 79.9108 % Incorrectly Classified Instances 811 20.0892 % Kappa statistic 0.7656 Mean absolute error 0.0574 Root mean squared error 0.2396 Relative absolute error 23.4374 % Root relative squared error 68.4651 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.717 0.028 0.811 0.717 0.761 0.844 chest 0.703 0.039 0.751 0.703 0.726 0.832 forearm 0.832 0.04 0.775 0.832 0.803 0.896 head 0.894 0.032 0.824 0.894 0.858 0.931 shin 0.882 0.033 0.817 0.882 0.849 0.925 thigh 0.744 0.028 0.816 0.744 0.778 0.858 upperarm 0.821 0.035 0.797 0.821 0.809 0.893 waist Weighted Avg. 0.799 0.033 0.799 0.799 0.798 0.883 === Confusion Matrix === a b c d e f g <-- classified as 412 27 31 16 10 23 56 | a = chest 28 404 48 16 24 36 19 | b = forearm 10 33 480 6 3 23 22 | c = head 1 18 3 516 36 2 1 | d = shin 8 12 5 30 510 7 6 | e = thigh 15 35 30 24 27 430 17 | f = upperarm 34 9 22 18 14 6 474 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3216 79.6829 % Incorrectly Classified Instances 820 20.3171 % Kappa statistic 0.763 Mean absolute error 0.058 Root mean squared error 0.2409 Relative absolute error 23.7033 % Root relative squared error 68.8525 % Total Number of Instances 4036 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.736 0.031 0.798 0.736 0.766 0.852 chest 0.675 0.032 0.778 0.675 0.723 0.821 forearm 0.825 0.044 0.759 0.825 0.791 0.891 head 0.893 0.032 0.823 0.893 0.856 0.93 shin 0.888 0.037 0.799 0.888 0.841 0.925 thigh 0.75 0.025 0.833 0.75 0.789 0.863 upperarm 0.811 0.036 0.791 0.811 0.801 0.888 waist Weighted Avg. 0.797 0.034 0.797 0.797 0.795 0.881 === Confusion Matrix === a b c d e f g <-- classified as 423 27 30 16 22 15 42 | a = chest 34 388 47 18 30 37 21 | b = forearm 12 29 476 9 8 18 25 | c = head 3 9 7 515 31 4 8 | d = shin 2 8 10 29 513 6 10 | e = thigh 20 27 31 23 25 433 18 | f = upperarm 36 11 26 16 13 7 468 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3228 79.9802 % Incorrectly Classified Instances 808 20.0198 % Kappa statistic 0.7664 Mean absolute error 0.0572 Root mean squared error 0.2392 Relative absolute error 23.3565 % Root relative squared error 68.3469 % Total Number of Instances 4036 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.731 0.03 0.803 0.731 0.765 0.851 chest 0.717 0.032 0.786 0.717 0.75 0.842 forearm 0.825 0.044 0.758 0.825 0.79 0.891 head 0.898 0.03 0.834 0.898 0.865 0.934 shin 0.893 0.031 0.829 0.893 0.86 0.931 thigh 0.75 0.027 0.823 0.75 0.785 0.862 upperarm 0.785 0.04 0.765 0.785 0.775 0.872 waist Weighted Avg. 0.8 0.033 0.8 0.8 0.799 0.883 === Confusion Matrix === a b c d e f g <-- classified as 421 32 28 21 14 15 45 | a = chest 27 412 44 13 27 34 18 | b = forearm 17 17 476 11 0 24 32 | c = head 2 11 5 518 32 5 4 | d = shin 3 9 4 28 515 7 11 | e = thigh 19 30 33 15 18 433 29 | f = upperarm 35 13 38 15 15 8 453 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3222 79.8315 % Incorrectly Classified Instances 814 20.1685 % Kappa statistic 0.7647 Mean absolute error 0.0576 Root mean squared error 0.2401 Relative absolute error 23.5299 % Root relative squared error 68.6001 % Total Number of Instances 4036 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.726 0.032 0.792 0.726 0.757 0.847 chest 0.69 0.031 0.789 0.69 0.737 0.83 forearm 0.835 0.041 0.771 0.835 0.802 0.897 head 0.919 0.037 0.807 0.919 0.859 0.941 shin 0.86 0.031 0.824 0.86 0.841 0.914 thigh 0.768 0.028 0.822 0.768 0.794 0.87 upperarm 0.79 0.036 0.784 0.79 0.787 0.877 waist Weighted Avg. 0.798 0.034 0.798 0.798 0.797 0.882 === Confusion Matrix === a b c d e f g <-- classified as 418 22 31 25 24 15 41 | a = chest 29 397 40 28 16 44 21 | b = forearm 18 23 482 7 3 15 29 | c = head 1 3 1 530 32 4 6 | d = shin 10 14 4 29 496 13 11 | e = thigh 18 30 31 21 16 443 18 | f = upperarm 34 14 36 17 15 5 456 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3222 79.8315 % Incorrectly Classified Instances 814 20.1685 % Kappa statistic 0.7647 Mean absolute error 0.0576 Root mean squared error 0.2401 Relative absolute error 23.5299 % Root relative squared error 68.6001 % Total Number of Instances 4036 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.684 0.029 0.799 0.684 0.737 0.828 chest 0.689 0.034 0.772 0.689 0.728 0.827 forearm 0.873 0.05 0.746 0.873 0.804 0.912 head 0.893 0.033 0.819 0.893 0.854 0.93 shin 0.893 0.036 0.805 0.893 0.846 0.928 thigh 0.738 0.022 0.85 0.738 0.79 0.858 upperarm 0.818 0.032 0.808 0.818 0.813 0.893 waist Weighted Avg. 0.798 0.034 0.8 0.798 0.796 0.882 === Confusion Matrix === a b c d e f g <-- classified as 394 31 38 29 17 21 46 | a = chest 29 396 55 22 33 23 17 | b = forearm 11 22 504 2 5 14 19 | c = head 2 13 11 515 32 1 3 | d = shin 5 10 7 21 515 13 6 | e = thigh 22 28 32 24 24 426 21 | f = upperarm 30 13 29 16 14 3 472 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 2 FOLD: 0 Correctly Classified Instances 3192 79.0686 % Incorrectly Classified Instances 845 20.9314 % Kappa statistic 0.7558 Mean absolute error 0.0598 Root mean squared error 0.2445 Relative absolute error 24.42 % Root relative squared error 69.8856 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.719 0.031 0.796 0.719 0.755 0.844 chest 0.69 0.033 0.778 0.69 0.732 0.829 forearm 0.81 0.045 0.749 0.81 0.778 0.882 head 0.903 0.035 0.813 0.903 0.856 0.934 shin 0.87 0.032 0.82 0.87 0.844 0.919 thigh 0.763 0.03 0.807 0.763 0.784 0.866 upperarm 0.78 0.039 0.771 0.78 0.775 0.871 waist Weighted Avg. 0.791 0.035 0.791 0.791 0.789 0.878 === Confusion Matrix === a b c d e f g <-- classified as 414 24 37 21 17 18 45 | a = chest 25 397 47 17 20 41 28 | b = forearm 22 33 468 7 4 22 22 | c = head 2 10 6 521 31 3 4 | d = shin 6 7 9 30 502 13 10 | e = thigh 15 26 27 25 19 440 25 | f = upperarm 36 13 31 20 19 8 450 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3261 80.7778 % Incorrectly Classified Instances 776 19.2222 % Kappa statistic 0.7757 Mean absolute error 0.0549 Root mean squared error 0.2344 Relative absolute error 22.4259 % Root relative squared error 66.9715 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.75 0.034 0.788 0.75 0.769 0.858 chest 0.725 0.026 0.822 0.725 0.771 0.85 forearm 0.822 0.041 0.77 0.822 0.795 0.89 head 0.922 0.033 0.822 0.922 0.869 0.944 shin 0.884 0.032 0.824 0.884 0.853 0.926 thigh 0.731 0.023 0.839 0.731 0.781 0.854 upperarm 0.82 0.036 0.794 0.82 0.806 0.892 waist Weighted Avg. 0.808 0.032 0.808 0.808 0.806 0.888 === Confusion Matrix === a b c d e f g <-- classified as 432 21 25 19 13 16 50 | a = chest 33 417 42 18 25 22 18 | b = forearm 16 22 475 7 7 21 30 | c = head 2 5 7 531 24 3 4 | d = shin 6 6 12 26 511 14 3 | e = thigh 26 29 34 22 26 422 18 | f = upperarm 33 7 22 23 14 5 473 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3223 79.8365 % Incorrectly Classified Instances 814 20.1635 % Kappa statistic 0.7648 Mean absolute error 0.0576 Root mean squared error 0.24 Relative absolute error 23.5241 % Root relative squared error 68.5917 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.731 0.035 0.778 0.731 0.754 0.848 chest 0.687 0.033 0.778 0.687 0.729 0.827 forearm 0.828 0.036 0.791 0.828 0.809 0.896 head 0.908 0.033 0.82 0.908 0.862 0.937 shin 0.888 0.029 0.836 0.888 0.861 0.929 thigh 0.751 0.035 0.783 0.751 0.767 0.858 upperarm 0.795 0.034 0.794 0.795 0.795 0.881 waist Weighted Avg. 0.798 0.034 0.797 0.798 0.797 0.882 === Confusion Matrix === a b c d e f g <-- classified as 421 32 28 22 15 21 37 | a = chest 38 395 40 18 18 42 24 | b = forearm 13 20 478 7 3 28 28 | c = head 4 9 3 523 22 12 3 | d = shin 5 9 3 29 513 10 9 | e = thigh 21 36 27 18 24 434 18 | f = upperarm 39 7 25 21 19 7 459 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3225 79.8861 % Incorrectly Classified Instances 812 20.1139 % Kappa statistic 0.7653 Mean absolute error 0.0575 Root mean squared error 0.2397 Relative absolute error 23.4663 % Root relative squared error 68.5073 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.722 0.034 0.782 0.722 0.751 0.844 chest 0.673 0.033 0.772 0.673 0.719 0.82 forearm 0.844 0.042 0.769 0.844 0.805 0.901 head 0.891 0.032 0.822 0.891 0.855 0.929 shin 0.896 0.035 0.811 0.896 0.851 0.931 thigh 0.768 0.027 0.825 0.768 0.795 0.87 upperarm 0.797 0.032 0.807 0.797 0.802 0.883 waist Weighted Avg. 0.799 0.034 0.798 0.799 0.797 0.883 === Confusion Matrix === a b c d e f g <-- classified as 416 28 24 21 23 17 47 | a = chest 33 387 51 19 27 42 16 | b = forearm 18 23 487 6 4 20 19 | c = head 4 16 5 514 31 4 3 | d = shin 7 7 8 26 518 3 9 | e = thigh 23 26 31 24 14 443 16 | f = upperarm 31 14 27 15 22 8 460 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3230 80.0099 % Incorrectly Classified Instances 807 19.9901 % Kappa statistic 0.7668 Mean absolute error 0.0571 Root mean squared error 0.239 Relative absolute error 23.3218 % Root relative squared error 68.2961 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.705 0.037 0.759 0.705 0.731 0.834 chest 0.717 0.031 0.794 0.717 0.754 0.843 forearm 0.858 0.044 0.764 0.858 0.808 0.907 head 0.889 0.029 0.834 0.889 0.861 0.93 shin 0.882 0.032 0.821 0.882 0.851 0.925 thigh 0.768 0.025 0.836 0.768 0.8 0.871 upperarm 0.781 0.034 0.792 0.781 0.787 0.874 waist Weighted Avg. 0.8 0.033 0.8 0.8 0.799 0.883 === Confusion Matrix === a b c d e f g <-- classified as 406 33 33 15 23 16 50 | a = chest 41 413 36 11 22 36 17 | b = forearm 13 24 495 5 2 16 22 | c = head 3 9 8 513 33 5 6 | d = shin 11 10 5 32 510 6 4 | e = thigh 19 22 31 24 19 443 19 | f = upperarm 42 9 40 15 12 8 450 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3249 80.4806 % Incorrectly Classified Instances 788 19.5194 % Kappa statistic 0.7723 Mean absolute error 0.0558 Root mean squared error 0.2362 Relative absolute error 22.7727 % Root relative squared error 67.4873 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.729 0.032 0.792 0.729 0.759 0.849 chest 0.726 0.034 0.783 0.726 0.753 0.846 forearm 0.832 0.036 0.793 0.832 0.812 0.898 head 0.901 0.028 0.841 0.901 0.87 0.936 shin 0.87 0.034 0.809 0.87 0.838 0.918 thigh 0.75 0.03 0.805 0.75 0.777 0.86 upperarm 0.825 0.033 0.805 0.825 0.815 0.896 waist Weighted Avg. 0.805 0.033 0.804 0.805 0.804 0.886 === Confusion Matrix === a b c d e f g <-- classified as 420 36 23 16 14 22 45 | a = chest 29 418 36 19 22 36 16 | b = forearm 18 22 480 2 7 22 26 | c = head 5 6 5 520 34 5 2 | d = shin 6 12 9 27 503 12 9 | e = thigh 17 32 31 20 27 433 17 | f = upperarm 35 8 21 14 15 8 475 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3176 78.6918 % Incorrectly Classified Instances 860 21.3082 % Kappa statistic 0.7514 Mean absolute error 0.0609 Root mean squared error 0.2467 Relative absolute error 24.8596 % Root relative squared error 70.5119 % Total Number of Instances 4036 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.707 0.033 0.78 0.707 0.741 0.837 chest 0.685 0.034 0.77 0.685 0.725 0.826 forearm 0.806 0.046 0.744 0.806 0.774 0.88 head 0.915 0.037 0.805 0.915 0.856 0.939 shin 0.884 0.034 0.812 0.884 0.847 0.925 thigh 0.731 0.029 0.808 0.731 0.768 0.851 upperarm 0.78 0.035 0.788 0.78 0.784 0.872 waist Weighted Avg. 0.787 0.036 0.787 0.787 0.785 0.876 === Confusion Matrix === a b c d e f g <-- classified as 407 23 39 18 18 20 51 | a = chest 30 394 49 24 29 34 15 | b = forearm 14 26 465 9 5 35 23 | c = head 5 8 3 528 28 1 4 | d = shin 5 12 6 29 511 6 9 | e = thigh 17 33 33 30 23 422 19 | f = upperarm 44 16 30 18 15 4 449 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3220 79.782 % Incorrectly Classified Instances 816 20.218 % Kappa statistic 0.7641 Mean absolute error 0.0578 Root mean squared error 0.2403 Relative absolute error 23.5877 % Root relative squared error 68.6844 % Total Number of Instances 4036 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.731 0.034 0.784 0.731 0.757 0.849 chest 0.69 0.032 0.78 0.69 0.732 0.829 forearm 0.83 0.045 0.757 0.83 0.792 0.893 head 0.893 0.031 0.827 0.893 0.858 0.931 shin 0.9 0.034 0.815 0.9 0.855 0.933 thigh 0.75 0.026 0.828 0.75 0.787 0.862 upperarm 0.79 0.034 0.794 0.79 0.792 0.878 waist Weighted Avg. 0.798 0.034 0.798 0.798 0.796 0.882 === Confusion Matrix === a b c d e f g <-- classified as 421 33 26 20 12 20 44 | a = chest 30 397 45 13 36 37 17 | b = forearm 17 18 479 10 7 15 31 | c = head 4 8 4 515 34 7 5 | d = shin 7 8 7 27 520 6 3 | e = thigh 24 32 36 21 13 433 18 | f = upperarm 34 13 36 17 16 5 455 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3210 79.5342 % Incorrectly Classified Instances 826 20.4658 % Kappa statistic 0.7612 Mean absolute error 0.0585 Root mean squared error 0.2418 Relative absolute error 23.8768 % Root relative squared error 69.104 % Total Number of Instances 4036 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.753 0.029 0.809 0.753 0.78 0.862 chest 0.677 0.031 0.781 0.677 0.725 0.823 forearm 0.822 0.045 0.755 0.822 0.787 0.889 head 0.884 0.032 0.824 0.884 0.853 0.926 shin 0.889 0.037 0.799 0.889 0.842 0.926 thigh 0.735 0.027 0.82 0.735 0.775 0.854 upperarm 0.808 0.038 0.782 0.808 0.795 0.885 waist Weighted Avg. 0.795 0.034 0.796 0.795 0.794 0.881 === Confusion Matrix === a b c d e f g <-- classified as 433 22 23 22 22 20 33 | a = chest 29 389 49 20 28 38 22 | b = forearm 14 21 475 5 2 18 43 | c = head 7 13 6 510 33 3 5 | d = shin 6 7 13 26 513 7 5 | e = thigh 18 31 34 20 28 424 22 | f = upperarm 28 15 29 16 16 7 466 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3207 79.4599 % Incorrectly Classified Instances 829 20.5401 % Kappa statistic 0.7604 Mean absolute error 0.0587 Root mean squared error 0.2423 Relative absolute error 23.9635 % Root relative squared error 69.2293 % Total Number of Instances 4036 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.723 0.028 0.811 0.723 0.765 0.848 chest 0.68 0.03 0.791 0.68 0.732 0.825 forearm 0.825 0.052 0.725 0.825 0.772 0.886 head 0.891 0.029 0.838 0.891 0.864 0.931 shin 0.872 0.032 0.822 0.872 0.846 0.92 thigh 0.764 0.031 0.803 0.764 0.783 0.867 upperarm 0.806 0.038 0.779 0.806 0.792 0.884 waist Weighted Avg. 0.795 0.034 0.796 0.795 0.793 0.88 === Confusion Matrix === a b c d e f g <-- classified as 416 27 26 20 14 23 49 | a = chest 21 391 67 15 22 41 18 | b = forearm 12 26 477 8 9 15 31 | c = head 4 11 5 514 33 4 6 | d = shin 6 5 9 29 503 17 8 | e = thigh 20 24 39 14 19 441 20 | f = upperarm 34 10 35 13 12 8 465 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 3 FOLD: 0 Correctly Classified Instances 3212 79.564 % Incorrectly Classified Instances 825 20.436 % Kappa statistic 0.7616 Mean absolute error 0.0584 Root mean squared error 0.2416 Relative absolute error 23.842 % Root relative squared error 69.0536 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.748 0.034 0.788 0.748 0.768 0.857 chest 0.694 0.036 0.764 0.694 0.727 0.829 forearm 0.804 0.041 0.766 0.804 0.784 0.882 head 0.893 0.033 0.82 0.893 0.855 0.93 shin 0.884 0.032 0.822 0.884 0.852 0.926 thigh 0.749 0.025 0.832 0.749 0.788 0.862 upperarm 0.797 0.038 0.776 0.797 0.786 0.879 waist Weighted Avg. 0.796 0.034 0.795 0.796 0.794 0.881 === Confusion Matrix === a b c d e f g <-- classified as 431 29 25 18 12 15 46 | a = chest 31 399 46 8 30 37 24 | b = forearm 20 30 464 13 3 16 31 | c = head 4 10 8 515 32 1 7 | d = shin 4 8 9 31 511 9 6 | e = thigh 21 30 32 26 17 432 19 | f = upperarm 36 16 22 17 17 9 460 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3202 79.3163 % Incorrectly Classified Instances 835 20.6837 % Kappa statistic 0.7587 Mean absolute error 0.0591 Root mean squared error 0.2431 Relative absolute error 24.131 % Root relative squared error 69.4708 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.734 0.028 0.815 0.734 0.773 0.853 chest 0.685 0.028 0.804 0.685 0.74 0.829 forearm 0.834 0.044 0.761 0.834 0.796 0.895 head 0.877 0.035 0.808 0.877 0.841 0.921 shin 0.889 0.038 0.797 0.889 0.841 0.926 thigh 0.749 0.029 0.812 0.749 0.779 0.86 upperarm 0.783 0.041 0.762 0.783 0.773 0.871 waist Weighted Avg. 0.793 0.034 0.794 0.793 0.792 0.879 === Confusion Matrix === a b c d e f g <-- classified as 423 20 26 20 18 23 46 | a = chest 26 394 50 23 30 32 20 | b = forearm 12 13 482 5 2 26 38 | c = head 5 13 3 505 41 3 6 | d = shin 4 7 5 30 514 10 8 | e = thigh 17 24 36 23 22 432 23 | f = upperarm 32 19 31 19 18 6 452 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3217 79.6879 % Incorrectly Classified Instances 820 20.3121 % Kappa statistic 0.763 Mean absolute error 0.058 Root mean squared error 0.2409 Relative absolute error 23.6975 % Root relative squared error 68.844 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.708 0.027 0.813 0.708 0.757 0.841 chest 0.685 0.031 0.786 0.685 0.732 0.827 forearm 0.818 0.042 0.767 0.818 0.792 0.888 head 0.918 0.036 0.809 0.918 0.86 0.941 shin 0.881 0.034 0.814 0.881 0.846 0.924 thigh 0.749 0.032 0.794 0.749 0.771 0.858 upperarm 0.818 0.035 0.795 0.818 0.806 0.891 waist Weighted Avg. 0.797 0.034 0.797 0.797 0.795 0.882 === Confusion Matrix === a b c d e f g <-- classified as 408 24 29 26 17 20 52 | a = chest 29 394 41 20 24 45 22 | b = forearm 11 22 473 10 7 31 24 | c = head 0 7 7 529 27 5 1 | d = shin 8 8 11 28 509 6 8 | e = thigh 18 33 30 24 25 432 15 | f = upperarm 28 13 26 17 16 5 472 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3232 80.0595 % Incorrectly Classified Instances 805 19.9405 % Kappa statistic 0.7674 Mean absolute error 0.057 Root mean squared error 0.2387 Relative absolute error 23.264 % Root relative squared error 68.2114 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.738 0.03 0.805 0.738 0.77 0.854 chest 0.725 0.036 0.769 0.725 0.747 0.845 forearm 0.822 0.047 0.745 0.822 0.781 0.887 head 0.905 0.028 0.845 0.905 0.874 0.938 shin 0.898 0.032 0.826 0.898 0.86 0.933 thigh 0.719 0.029 0.804 0.719 0.759 0.845 upperarm 0.797 0.031 0.81 0.797 0.803 0.883 waist Weighted Avg. 0.801 0.033 0.801 0.801 0.799 0.884 === Confusion Matrix === a b c d e f g <-- classified as 425 33 29 22 11 21 35 | a = chest 26 417 38 12 22 39 21 | b = forearm 16 31 475 3 7 22 24 | c = head 4 8 4 522 30 5 4 | d = shin 6 10 10 19 518 9 5 | e = thigh 17 33 46 25 22 415 19 | f = upperarm 34 10 36 15 17 5 460 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3181 78.7961 % Incorrectly Classified Instances 856 21.2039 % Kappa statistic 0.7526 Mean absolute error 0.0606 Root mean squared error 0.2461 Relative absolute error 24.7378 % Root relative squared error 70.339 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.704 0.036 0.764 0.704 0.733 0.834 chest 0.677 0.038 0.746 0.677 0.71 0.819 forearm 0.827 0.043 0.761 0.827 0.793 0.892 head 0.917 0.036 0.811 0.917 0.861 0.941 shin 0.873 0.032 0.818 0.873 0.845 0.921 thigh 0.733 0.029 0.809 0.733 0.769 0.852 upperarm 0.783 0.033 0.8 0.783 0.792 0.875 waist Weighted Avg. 0.788 0.035 0.787 0.788 0.786 0.876 === Confusion Matrix === a b c d e f g <-- classified as 405 44 20 23 19 19 45 | a = chest 37 390 49 18 30 38 14 | b = forearm 8 30 478 7 4 24 27 | c = head 5 7 1 529 26 4 5 | d = shin 9 3 12 34 504 9 6 | e = thigh 23 38 34 24 19 423 16 | f = upperarm 43 11 34 17 14 6 452 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3239 80.2328 % Incorrectly Classified Instances 798 19.7672 % Kappa statistic 0.7694 Mean absolute error 0.0565 Root mean squared error 0.2377 Relative absolute error 23.0617 % Root relative squared error 67.9142 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.706 0.028 0.807 0.706 0.753 0.839 chest 0.691 0.026 0.814 0.691 0.747 0.832 forearm 0.851 0.045 0.76 0.851 0.803 0.903 head 0.903 0.034 0.815 0.903 0.857 0.934 shin 0.868 0.03 0.829 0.868 0.848 0.919 thigh 0.779 0.028 0.824 0.779 0.801 0.875 upperarm 0.818 0.04 0.774 0.818 0.795 0.889 waist Weighted Avg. 0.802 0.033 0.803 0.802 0.801 0.885 === Confusion Matrix === a b c d e f g <-- classified as 406 23 33 23 16 19 55 | a = chest 20 398 52 25 20 41 20 | b = forearm 18 16 491 5 4 18 25 | c = head 2 14 2 521 27 8 3 | d = shin 5 13 5 32 501 7 14 | e = thigh 14 19 35 18 21 450 21 | f = upperarm 38 6 28 15 15 3 472 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3246 80.4262 % Incorrectly Classified Instances 790 19.5738 % Kappa statistic 0.7716 Mean absolute error 0.0559 Root mean squared error 0.2365 Relative absolute error 22.8361 % Root relative squared error 67.5813 % Total Number of Instances 4036 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.731 0.028 0.811 0.731 0.769 0.851 chest 0.701 0.027 0.813 0.701 0.753 0.837 forearm 0.832 0.044 0.758 0.832 0.793 0.894 head 0.905 0.029 0.837 0.905 0.869 0.938 shin 0.886 0.033 0.817 0.886 0.85 0.926 thigh 0.783 0.029 0.82 0.783 0.801 0.877 upperarm 0.792 0.038 0.778 0.792 0.785 0.877 waist Weighted Avg. 0.804 0.033 0.805 0.804 0.803 0.886 === Confusion Matrix === a b c d e f g <-- classified as 421 22 33 18 18 22 42 | a = chest 28 403 43 20 26 34 21 | b = forearm 9 22 480 7 5 15 39 | c = head 4 9 3 522 25 10 4 | d = shin 8 8 8 23 512 11 8 | e = thigh 20 23 32 15 19 452 16 | f = upperarm 29 9 34 19 22 7 456 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3189 79.0139 % Incorrectly Classified Instances 847 20.9861 % Kappa statistic 0.7552 Mean absolute error 0.06 Root mean squared error 0.2449 Relative absolute error 24.4838 % Root relative squared error 69.9769 % Total Number of Instances 4036 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.727 0.029 0.809 0.727 0.766 0.849 chest 0.666 0.029 0.79 0.666 0.723 0.818 forearm 0.809 0.042 0.761 0.809 0.784 0.883 head 0.887 0.031 0.827 0.887 0.856 0.928 shin 0.894 0.045 0.77 0.894 0.828 0.925 thigh 0.738 0.025 0.829 0.738 0.781 0.856 upperarm 0.807 0.043 0.756 0.807 0.781 0.882 waist Weighted Avg. 0.79 0.035 0.792 0.79 0.788 0.878 === Confusion Matrix === a b c d e f g <-- classified as 419 26 26 12 24 18 51 | a = chest 30 383 58 22 31 27 24 | b = forearm 15 20 467 7 7 27 34 | c = head 1 12 3 512 39 0 10 | d = shin 5 6 10 25 517 8 7 | e = thigh 18 26 22 25 36 426 24 | f = upperarm 30 12 28 16 17 8 465 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3217 79.7076 % Incorrectly Classified Instances 819 20.2924 % Kappa statistic 0.7633 Mean absolute error 0.058 Root mean squared error 0.2408 Relative absolute error 23.6744 % Root relative squared error 68.8105 % Total Number of Instances 4036 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.712 0.027 0.815 0.712 0.76 0.842 chest 0.71 0.029 0.8 0.71 0.752 0.84 forearm 0.834 0.047 0.748 0.834 0.789 0.893 head 0.865 0.031 0.825 0.865 0.844 0.917 shin 0.884 0.036 0.805 0.884 0.843 0.924 thigh 0.778 0.029 0.815 0.778 0.796 0.874 upperarm 0.797 0.038 0.779 0.797 0.788 0.88 waist Weighted Avg. 0.797 0.034 0.798 0.797 0.796 0.882 === Confusion Matrix === a b c d e f g <-- classified as 410 20 41 14 18 15 58 | a = chest 19 408 42 19 25 42 20 | b = forearm 10 28 481 3 7 21 27 | c = head 6 11 8 499 43 4 6 | d = shin 6 5 9 34 511 11 2 | e = thigh 16 28 30 21 16 449 17 | f = upperarm 36 10 32 15 15 9 459 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3193 79.113 % Incorrectly Classified Instances 843 20.887 % Kappa statistic 0.7563 Mean absolute error 0.0597 Root mean squared error 0.2443 Relative absolute error 24.3682 % Root relative squared error 69.8115 % Total Number of Instances 4036 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.707 0.035 0.769 0.707 0.737 0.836 chest 0.68 0.034 0.767 0.68 0.721 0.823 forearm 0.816 0.038 0.781 0.816 0.798 0.889 head 0.903 0.035 0.813 0.903 0.856 0.934 shin 0.879 0.032 0.819 0.879 0.848 0.923 thigh 0.742 0.029 0.812 0.742 0.775 0.857 upperarm 0.811 0.04 0.771 0.811 0.79 0.885 waist Weighted Avg. 0.791 0.035 0.79 0.791 0.789 0.878 === Confusion Matrix === a b c d e f g <-- classified as 407 29 28 23 14 28 47 | a = chest 40 391 46 17 27 31 23 | b = forearm 20 24 471 5 5 23 29 | c = head 1 12 4 521 32 3 4 | d = shin 4 9 5 33 508 9 10 | e = thigh 21 34 26 20 22 428 26 | f = upperarm 36 11 23 22 12 5 467 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 4 FOLD: 0 Correctly Classified Instances 3207 79.4402 % Incorrectly Classified Instances 830 20.5598 % Kappa statistic 0.7601 Mean absolute error 0.0587 Root mean squared error 0.2424 Relative absolute error 23.9865 % Root relative squared error 69.2625 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.698 0.033 0.778 0.698 0.736 0.832 chest 0.725 0.029 0.805 0.725 0.763 0.848 forearm 0.83 0.047 0.745 0.83 0.786 0.892 head 0.898 0.033 0.82 0.898 0.857 0.932 shin 0.869 0.035 0.804 0.869 0.835 0.917 thigh 0.769 0.026 0.831 0.769 0.799 0.872 upperarm 0.771 0.036 0.782 0.771 0.776 0.868 waist Weighted Avg. 0.794 0.034 0.795 0.794 0.793 0.88 === Confusion Matrix === a b c d e f g <-- classified as 402 26 35 21 20 22 50 | a = chest 33 417 43 9 22 34 17 | b = forearm 16 25 480 4 7 19 27 | c = head 1 14 2 518 35 1 6 | d = shin 6 10 8 36 502 8 8 | e = thigh 19 16 39 25 18 444 16 | f = upperarm 40 10 37 19 20 6 444 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3224 79.8613 % Incorrectly Classified Instances 813 20.1387 % Kappa statistic 0.765 Mean absolute error 0.0575 Root mean squared error 0.2399 Relative absolute error 23.4952 % Root relative squared error 68.5495 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.71 0.028 0.806 0.71 0.755 0.841 chest 0.736 0.033 0.786 0.736 0.76 0.851 forearm 0.844 0.044 0.761 0.844 0.801 0.9 head 0.891 0.032 0.824 0.891 0.856 0.93 shin 0.875 0.034 0.814 0.875 0.843 0.921 thigh 0.75 0.025 0.833 0.75 0.789 0.863 upperarm 0.783 0.039 0.771 0.783 0.777 0.872 waist Weighted Avg. 0.799 0.034 0.799 0.799 0.797 0.883 === Confusion Matrix === a b c d e f g <-- classified as 408 31 25 15 15 24 57 | a = chest 16 423 46 20 25 28 17 | b = forearm 18 24 488 6 4 19 19 | c = head 6 11 8 514 29 3 6 | d = shin 4 7 8 36 506 7 10 | e = thigh 18 26 39 15 21 433 25 | f = upperarm 36 16 27 18 22 6 452 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3266 80.9017 % Incorrectly Classified Instances 771 19.0983 % Kappa statistic 0.7772 Mean absolute error 0.0546 Root mean squared error 0.2336 Relative absolute error 22.2814 % Root relative squared error 66.7554 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.77 0.029 0.817 0.77 0.793 0.871 chest 0.706 0.03 0.798 0.706 0.749 0.838 forearm 0.827 0.045 0.756 0.827 0.79 0.891 head 0.884 0.028 0.842 0.884 0.862 0.928 shin 0.9 0.027 0.85 0.9 0.874 0.937 thigh 0.771 0.032 0.803 0.771 0.787 0.87 upperarm 0.804 0.034 0.797 0.804 0.801 0.885 waist Weighted Avg. 0.809 0.032 0.809 0.809 0.808 0.889 === Confusion Matrix === a b c d e f g <-- classified as 443 24 24 21 10 18 35 | a = chest 24 406 54 14 15 41 21 | b = forearm 14 18 478 7 5 27 29 | c = head 2 12 4 510 36 6 7 | d = shin 6 8 9 21 520 11 3 | e = thigh 15 29 30 21 14 445 23 | f = upperarm 38 12 33 12 12 6 464 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3216 79.6631 % Incorrectly Classified Instances 821 20.3369 % Kappa statistic 0.7627 Mean absolute error 0.0581 Root mean squared error 0.2411 Relative absolute error 23.7264 % Root relative squared error 68.886 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.707 0.029 0.801 0.707 0.751 0.839 chest 0.678 0.038 0.75 0.678 0.712 0.82 forearm 0.836 0.049 0.741 0.836 0.785 0.893 head 0.893 0.031 0.827 0.893 0.858 0.931 shin 0.894 0.033 0.82 0.894 0.856 0.931 thigh 0.75 0.023 0.844 0.75 0.794 0.864 upperarm 0.818 0.035 0.797 0.818 0.808 0.892 waist Weighted Avg. 0.797 0.034 0.797 0.797 0.795 0.881 === Confusion Matrix === a b c d e f g <-- classified as 407 33 29 18 16 19 54 | a = chest 24 390 56 26 34 26 19 | b = forearm 18 25 483 5 4 18 25 | c = head 1 11 9 515 32 4 5 | d = shin 4 11 8 24 516 9 5 | e = thigh 16 35 39 25 17 433 12 | f = upperarm 38 15 28 10 10 4 472 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3270 81.0007 % Incorrectly Classified Instances 767 18.9993 % Kappa statistic 0.7783 Mean absolute error 0.0543 Root mean squared error 0.233 Relative absolute error 22.1658 % Root relative squared error 66.582 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.71 0.027 0.815 0.71 0.759 0.842 chest 0.738 0.038 0.762 0.738 0.75 0.85 forearm 0.825 0.037 0.789 0.825 0.807 0.894 head 0.919 0.033 0.822 0.919 0.867 0.943 shin 0.896 0.031 0.829 0.896 0.861 0.933 thigh 0.766 0.021 0.862 0.766 0.811 0.873 upperarm 0.816 0.035 0.796 0.816 0.806 0.891 waist Weighted Avg. 0.81 0.032 0.81 0.81 0.809 0.889 === Confusion Matrix === a b c d e f g <-- classified as 409 29 32 25 14 14 53 | a = chest 29 425 39 22 20 26 15 | b = forearm 6 29 476 10 7 19 30 | c = head 4 8 4 530 24 2 5 | d = shin 3 13 8 28 517 6 2 | e = thigh 17 40 21 15 26 442 16 | f = upperarm 34 14 23 15 16 4 471 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3202 79.3163 % Incorrectly Classified Instances 835 20.6837 % Kappa statistic 0.7587 Mean absolute error 0.0591 Root mean squared error 0.2431 Relative absolute error 24.131 % Root relative squared error 69.4708 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.719 0.031 0.792 0.719 0.753 0.844 chest 0.696 0.032 0.785 0.696 0.738 0.832 forearm 0.808 0.041 0.765 0.808 0.786 0.883 head 0.887 0.034 0.814 0.887 0.849 0.927 shin 0.886 0.035 0.807 0.886 0.845 0.925 thigh 0.752 0.029 0.814 0.752 0.782 0.862 upperarm 0.804 0.039 0.775 0.804 0.789 0.883 waist Weighted Avg. 0.793 0.034 0.793 0.793 0.792 0.879 === Confusion Matrix === a b c d e f g <-- classified as 414 24 31 24 20 16 47 | a = chest 30 401 37 23 33 36 16 | b = forearm 15 21 466 8 5 25 37 | c = head 5 14 9 512 29 5 3 | d = shin 9 7 5 24 511 8 13 | e = thigh 20 34 30 23 17 434 19 | f = upperarm 30 10 31 15 18 9 464 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3198 79.2369 % Incorrectly Classified Instances 838 20.7631 % Kappa statistic 0.7578 Mean absolute error 0.0593 Root mean squared error 0.2436 Relative absolute error 24.2237 % Root relative squared error 69.6041 % Total Number of Instances 4036 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.727 0.029 0.806 0.727 0.765 0.849 chest 0.663 0.032 0.776 0.663 0.715 0.815 forearm 0.861 0.049 0.747 0.861 0.8 0.906 head 0.917 0.03 0.835 0.917 0.874 0.943 shin 0.879 0.04 0.786 0.879 0.83 0.919 thigh 0.735 0.029 0.808 0.735 0.77 0.853 upperarm 0.764 0.034 0.792 0.764 0.778 0.865 waist Weighted Avg. 0.792 0.035 0.793 0.792 0.79 0.879 === Confusion Matrix === a b c d e f g <-- classified as 419 29 21 17 24 24 42 | a = chest 35 381 53 10 33 36 27 | b = forearm 6 23 497 5 7 18 21 | c = head 4 12 2 528 27 3 0 | d = shin 3 10 10 30 508 9 8 | e = thigh 21 27 35 23 29 424 18 | f = upperarm 32 9 47 19 18 11 441 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3236 80.1784 % Incorrectly Classified Instances 800 19.8216 % Kappa statistic 0.7687 Mean absolute error 0.0566 Root mean squared error 0.238 Relative absolute error 23.1252 % Root relative squared error 68.0077 % Total Number of Instances 4036 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.71 0.027 0.816 0.71 0.76 0.842 chest 0.696 0.036 0.76 0.696 0.727 0.83 forearm 0.835 0.039 0.781 0.835 0.807 0.898 head 0.915 0.033 0.821 0.915 0.865 0.941 shin 0.896 0.032 0.822 0.896 0.858 0.932 thigh 0.756 0.03 0.809 0.756 0.782 0.863 upperarm 0.804 0.034 0.798 0.804 0.801 0.885 waist Weighted Avg. 0.802 0.033 0.801 0.802 0.8 0.884 === Confusion Matrix === a b c d e f g <-- classified as 409 38 26 15 19 20 49 | a = chest 22 400 44 19 31 42 17 | b = forearm 13 25 482 4 3 19 31 | c = head 4 5 3 527 28 6 3 | d = shin 5 12 7 24 518 8 4 | e = thigh 18 28 30 31 21 437 13 | f = upperarm 30 18 25 22 10 8 463 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3200 79.2864 % Incorrectly Classified Instances 836 20.7136 % Kappa statistic 0.7583 Mean absolute error 0.0592 Root mean squared error 0.2433 Relative absolute error 24.1658 % Root relative squared error 69.521 % Total Number of Instances 4036 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.707 0.029 0.801 0.707 0.751 0.839 chest 0.664 0.034 0.767 0.664 0.712 0.815 forearm 0.86 0.047 0.755 0.86 0.804 0.907 head 0.905 0.034 0.818 0.905 0.859 0.936 shin 0.862 0.035 0.805 0.862 0.832 0.913 thigh 0.74 0.031 0.8 0.74 0.769 0.855 upperarm 0.813 0.033 0.804 0.813 0.808 0.89 waist Weighted Avg. 0.793 0.035 0.793 0.793 0.791 0.879 === Confusion Matrix === a b c d e f g <-- classified as 407 34 37 20 18 22 38 | a = chest 30 382 49 17 27 51 19 | b = forearm 13 17 496 8 4 18 21 | c = head 4 11 4 522 27 3 6 | d = shin 7 10 11 32 498 7 13 | e = thigh 19 33 38 19 24 427 17 | f = upperarm 28 11 22 20 21 6 468 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3184 78.89 % Incorrectly Classified Instances 852 21.11 % Kappa statistic 0.7537 Mean absolute error 0.0603 Root mean squared error 0.2456 Relative absolute error 24.6284 % Root relative squared error 70.1831 % Total Number of Instances 4036 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.745 0.037 0.772 0.745 0.758 0.854 chest 0.703 0.031 0.788 0.703 0.743 0.836 forearm 0.795 0.042 0.759 0.795 0.777 0.877 head 0.87 0.03 0.827 0.87 0.848 0.92 shin 0.893 0.039 0.794 0.893 0.84 0.927 thigh 0.724 0.03 0.802 0.724 0.761 0.847 upperarm 0.792 0.037 0.781 0.792 0.786 0.877 waist Weighted Avg. 0.789 0.035 0.789 0.789 0.788 0.877 === Confusion Matrix === a b c d e f g <-- classified as 429 19 28 23 20 18 39 | a = chest 37 404 46 12 21 31 24 | b = forearm 21 30 459 6 4 25 32 | c = head 2 11 5 502 43 10 4 | d = shin 6 7 7 25 516 12 5 | e = thigh 27 32 26 19 31 418 24 | f = upperarm 34 10 34 20 15 7 456 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 5 FOLD: 0 Correctly Classified Instances 3251 80.5301 % Incorrectly Classified Instances 786 19.4699 % Kappa statistic 0.7728 Mean absolute error 0.0556 Root mean squared error 0.2359 Relative absolute error 22.7149 % Root relative squared error 67.4016 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.736 0.03 0.803 0.736 0.768 0.853 chest 0.766 0.029 0.815 0.766 0.79 0.868 forearm 0.81 0.043 0.757 0.81 0.783 0.883 head 0.891 0.03 0.833 0.891 0.861 0.93 shin 0.882 0.029 0.836 0.882 0.859 0.927 thigh 0.749 0.03 0.806 0.749 0.777 0.86 upperarm 0.804 0.036 0.787 0.804 0.796 0.884 waist Weighted Avg. 0.805 0.032 0.805 0.805 0.805 0.886 === Confusion Matrix === a b c d e f g <-- classified as 423 17 31 21 14 23 46 | a = chest 22 441 38 12 12 33 18 | b = forearm 15 31 468 7 8 25 24 | c = head 4 13 6 513 30 5 5 | d = shin 6 7 9 30 510 10 6 | e = thigh 20 26 33 21 19 433 26 | f = upperarm 37 6 33 12 17 8 463 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3200 79.2668 % Incorrectly Classified Instances 837 20.7332 % Kappa statistic 0.7581 Mean absolute error 0.0592 Root mean squared error 0.2434 Relative absolute error 24.1888 % Root relative squared error 69.554 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.688 0.037 0.757 0.688 0.721 0.825 chest 0.687 0.036 0.758 0.687 0.721 0.825 forearm 0.842 0.044 0.761 0.842 0.799 0.899 head 0.912 0.032 0.828 0.912 0.868 0.94 shin 0.886 0.032 0.822 0.886 0.853 0.927 thigh 0.75 0.03 0.808 0.75 0.778 0.86 upperarm 0.783 0.031 0.807 0.783 0.795 0.876 waist Weighted Avg. 0.793 0.035 0.792 0.793 0.791 0.879 === Confusion Matrix === a b c d e f g <-- classified as 396 39 30 20 17 29 45 | a = chest 38 395 47 11 28 37 19 | b = forearm 19 26 486 5 5 18 18 | c = head 4 10 5 526 24 5 3 | d = shin 4 7 9 31 512 9 6 | e = thigh 28 30 26 21 22 433 17 | f = upperarm 34 14 36 21 15 5 452 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3212 79.564 % Incorrectly Classified Instances 825 20.436 % Kappa statistic 0.7616 Mean absolute error 0.0584 Root mean squared error 0.2416 Relative absolute error 23.842 % Root relative squared error 69.0536 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.733 0.031 0.795 0.733 0.762 0.851 chest 0.673 0.026 0.81 0.673 0.735 0.823 forearm 0.837 0.039 0.78 0.837 0.808 0.899 head 0.91 0.035 0.813 0.91 0.859 0.937 shin 0.882 0.036 0.802 0.882 0.84 0.923 thigh 0.745 0.032 0.793 0.745 0.769 0.856 upperarm 0.789 0.038 0.778 0.789 0.783 0.875 waist Weighted Avg. 0.796 0.034 0.796 0.796 0.794 0.881 === Confusion Matrix === a b c d e f g <-- classified as 422 22 23 20 17 23 49 | a = chest 36 387 35 15 31 49 22 | b = forearm 11 18 483 7 5 22 31 | c = head 2 6 6 525 29 3 6 | d = shin 8 8 5 36 510 7 4 | e = thigh 18 29 35 20 27 430 18 | f = upperarm 34 8 32 23 17 8 455 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3222 79.8117 % Incorrectly Classified Instances 815 20.1883 % Kappa statistic 0.7645 Mean absolute error 0.0577 Root mean squared error 0.2402 Relative absolute error 23.553 % Root relative squared error 68.6338 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.682 0.032 0.781 0.682 0.728 0.825 chest 0.69 0.034 0.771 0.69 0.728 0.828 forearm 0.846 0.041 0.775 0.846 0.809 0.902 head 0.919 0.03 0.837 0.919 0.876 0.944 shin 0.913 0.036 0.81 0.913 0.859 0.939 thigh 0.737 0.03 0.805 0.737 0.769 0.853 upperarm 0.799 0.033 0.8 0.799 0.8 0.883 waist Weighted Avg. 0.798 0.034 0.797 0.798 0.796 0.882 === Confusion Matrix === a b c d e f g <-- classified as 393 31 30 26 19 26 51 | a = chest 27 397 40 19 30 42 20 | b = forearm 15 28 488 3 2 19 22 | c = head 2 6 5 530 32 2 0 | d = shin 6 5 6 20 528 7 6 | e = thigh 24 37 35 19 21 425 16 | f = upperarm 36 11 26 16 20 7 461 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3183 78.8457 % Incorrectly Classified Instances 854 21.1543 % Kappa statistic 0.7532 Mean absolute error 0.0604 Root mean squared error 0.2458 Relative absolute error 24.6801 % Root relative squared error 70.2567 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.72 0.029 0.804 0.72 0.76 0.846 chest 0.687 0.03 0.792 0.687 0.736 0.828 forearm 0.82 0.044 0.756 0.82 0.786 0.888 head 0.884 0.036 0.804 0.884 0.842 0.924 shin 0.86 0.034 0.809 0.86 0.834 0.913 thigh 0.742 0.029 0.812 0.742 0.775 0.857 upperarm 0.806 0.045 0.749 0.806 0.776 0.88 waist Weighted Avg. 0.788 0.035 0.789 0.788 0.787 0.877 === Confusion Matrix === a b c d e f g <-- classified as 415 21 29 19 19 17 56 | a = chest 26 395 51 21 22 32 28 | b = forearm 12 18 473 8 1 30 35 | c = head 3 16 5 510 33 4 6 | d = shin 8 11 5 34 497 12 11 | e = thigh 18 27 31 27 26 428 20 | f = upperarm 34 11 32 15 16 4 465 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3209 79.4897 % Incorrectly Classified Instances 828 20.5103 % Kappa statistic 0.7607 Mean absolute error 0.0586 Root mean squared error 0.2421 Relative absolute error 23.9287 % Root relative squared error 69.179 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.736 0.032 0.794 0.736 0.764 0.852 chest 0.696 0.033 0.777 0.696 0.734 0.831 forearm 0.816 0.033 0.805 0.816 0.811 0.892 head 0.873 0.032 0.822 0.873 0.847 0.921 shin 0.882 0.034 0.811 0.882 0.845 0.924 thigh 0.754 0.036 0.778 0.754 0.766 0.859 upperarm 0.806 0.04 0.772 0.806 0.789 0.883 waist Weighted Avg. 0.795 0.034 0.794 0.795 0.794 0.88 === Confusion Matrix === a b c d e f g <-- classified as 424 30 25 23 12 23 39 | a = chest 23 400 43 13 24 51 21 | b = forearm 15 21 471 5 4 26 35 | c = head 4 15 3 504 39 7 5 | d = shin 7 6 8 27 510 10 10 | e = thigh 24 31 17 20 23 435 27 | f = upperarm 37 12 18 21 17 7 465 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3216 79.6829 % Incorrectly Classified Instances 820 20.3171 % Kappa statistic 0.763 Mean absolute error 0.058 Root mean squared error 0.2409 Relative absolute error 23.7033 % Root relative squared error 68.8525 % Total Number of Instances 4036 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.729 0.025 0.83 0.729 0.776 0.852 chest 0.706 0.038 0.753 0.706 0.729 0.834 forearm 0.808 0.041 0.768 0.808 0.787 0.883 head 0.886 0.033 0.819 0.886 0.851 0.926 shin 0.889 0.037 0.799 0.889 0.842 0.926 thigh 0.749 0.031 0.803 0.749 0.775 0.859 upperarm 0.811 0.032 0.807 0.811 0.809 0.889 waist Weighted Avg. 0.797 0.034 0.797 0.797 0.796 0.881 === Confusion Matrix === a b c d e f g <-- classified as 420 41 22 17 18 15 43 | a = chest 23 406 49 23 24 39 11 | b = forearm 11 29 466 6 8 29 28 | c = head 2 9 7 511 36 6 6 | d = shin 3 7 10 27 513 11 6 | e = thigh 19 30 28 23 27 432 18 | f = upperarm 28 17 25 17 16 6 468 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3235 80.1536 % Incorrectly Classified Instances 801 19.8464 % Kappa statistic 0.7685 Mean absolute error 0.0567 Root mean squared error 0.2381 Relative absolute error 23.1541 % Root relative squared error 68.0502 % Total Number of Instances 4036 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.724 0.031 0.796 0.724 0.758 0.847 chest 0.687 0.028 0.801 0.687 0.74 0.829 forearm 0.849 0.043 0.767 0.849 0.806 0.903 head 0.889 0.029 0.834 0.889 0.861 0.93 shin 0.889 0.032 0.825 0.889 0.856 0.929 thigh 0.764 0.029 0.815 0.764 0.789 0.868 upperarm 0.807 0.039 0.774 0.807 0.79 0.884 waist Weighted Avg. 0.802 0.033 0.802 0.802 0.8 0.884 === Confusion Matrix === a b c d e f g <-- classified as 417 24 37 16 22 20 40 | a = chest 30 395 35 20 26 41 28 | b = forearm 10 19 491 9 2 17 30 | c = head 6 8 4 513 32 5 9 | d = shin 6 8 10 23 513 10 7 | e = thigh 14 27 32 23 18 441 22 | f = upperarm 41 12 31 11 9 7 465 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3246 80.4262 % Incorrectly Classified Instances 790 19.5738 % Kappa statistic 0.7716 Mean absolute error 0.0559 Root mean squared error 0.2365 Relative absolute error 22.8361 % Root relative squared error 67.5813 % Total Number of Instances 4036 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.76 0.026 0.83 0.76 0.793 0.867 chest 0.675 0.032 0.776 0.675 0.722 0.821 forearm 0.83 0.041 0.773 0.83 0.801 0.895 head 0.886 0.032 0.823 0.886 0.853 0.927 shin 0.877 0.034 0.814 0.877 0.844 0.922 thigh 0.802 0.031 0.814 0.802 0.808 0.886 upperarm 0.799 0.033 0.8 0.799 0.799 0.883 waist Weighted Avg. 0.804 0.033 0.804 0.804 0.803 0.886 === Confusion Matrix === a b c d e f g <-- classified as 438 27 18 10 22 19 42 | a = chest 30 388 52 23 31 34 17 | b = forearm 14 24 480 9 6 19 26 | c = head 3 12 4 511 31 10 6 | d = shin 2 14 3 29 506 14 9 | e = thigh 15 20 33 18 13 463 15 | f = upperarm 26 15 31 21 13 10 460 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3209 79.5094 % Incorrectly Classified Instances 827 20.4906 % Kappa statistic 0.7609 Mean absolute error 0.0585 Root mean squared error 0.242 Relative absolute error 23.9057 % Root relative squared error 69.1458 % Total Number of Instances 4036 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.706 0.028 0.806 0.706 0.753 0.839 chest 0.668 0.028 0.797 0.668 0.727 0.82 forearm 0.82 0.049 0.737 0.82 0.776 0.886 head 0.906 0.031 0.83 0.906 0.866 0.938 shin 0.877 0.028 0.838 0.877 0.857 0.924 thigh 0.773 0.03 0.811 0.773 0.791 0.871 upperarm 0.814 0.044 0.754 0.814 0.783 0.885 waist Weighted Avg. 0.795 0.034 0.796 0.795 0.793 0.88 === Confusion Matrix === a b c d e f g <-- classified as 406 26 31 19 13 20 60 | a = chest 29 385 57 19 23 38 25 | b = forearm 13 18 474 9 5 24 35 | c = head 2 8 6 522 27 7 4 | d = shin 9 7 14 25 507 8 8 | e = thigh 10 31 33 21 15 446 21 | f = upperarm 35 8 28 14 15 7 469 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 6 FOLD: 0 Correctly Classified Instances 3236 80.1585 % Incorrectly Classified Instances 801 19.8415 % Kappa statistic 0.7685 Mean absolute error 0.0567 Root mean squared error 0.2381 Relative absolute error 23.1484 % Root relative squared error 68.0417 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.717 0.029 0.806 0.717 0.759 0.844 chest 0.699 0.033 0.781 0.699 0.738 0.833 forearm 0.832 0.039 0.782 0.832 0.806 0.897 head 0.913 0.033 0.821 0.913 0.865 0.94 shin 0.877 0.032 0.819 0.877 0.847 0.922 thigh 0.779 0.03 0.811 0.779 0.794 0.874 upperarm 0.793 0.036 0.788 0.793 0.791 0.879 waist Weighted Avg. 0.802 0.033 0.801 0.802 0.8 0.884 === Confusion Matrix === a b c d e f g <-- classified as 412 31 22 18 21 21 50 | a = chest 37 402 36 24 20 36 20 | b = forearm 11 22 481 7 4 28 25 | c = head 1 12 4 527 23 7 3 | d = shin 4 10 5 35 507 8 9 | e = thigh 19 23 28 17 25 450 16 | f = upperarm 27 15 39 14 19 5 457 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3154 78.1273 % Incorrectly Classified Instances 883 21.8727 % Kappa statistic 0.7448 Mean absolute error 0.0625 Root mean squared error 0.25 Relative absolute error 25.5181 % Root relative squared error 71.4397 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.689 0.034 0.774 0.689 0.729 0.828 chest 0.696 0.032 0.783 0.696 0.737 0.832 forearm 0.785 0.044 0.749 0.785 0.767 0.871 head 0.894 0.038 0.799 0.894 0.844 0.928 shin 0.874 0.031 0.827 0.874 0.849 0.922 thigh 0.738 0.031 0.798 0.738 0.767 0.854 upperarm 0.792 0.046 0.74 0.792 0.765 0.873 waist Weighted Avg. 0.781 0.036 0.781 0.781 0.78 0.872 === Confusion Matrix === a b c d e f g <-- classified as 397 25 34 22 12 28 58 | a = chest 30 400 39 21 25 35 25 | b = forearm 17 29 454 8 6 25 39 | c = head 5 9 5 516 31 5 6 | d = shin 5 10 7 31 505 7 13 | e = thigh 21 30 41 23 17 426 19 | f = upperarm 38 8 26 25 15 8 456 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3231 80.0347 % Incorrectly Classified Instances 806 19.9653 % Kappa statistic 0.7671 Mean absolute error 0.057 Root mean squared error 0.2388 Relative absolute error 23.2929 % Root relative squared error 68.2538 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.727 0.03 0.801 0.727 0.763 0.849 chest 0.69 0.029 0.799 0.69 0.741 0.831 forearm 0.846 0.044 0.761 0.846 0.801 0.901 head 0.903 0.031 0.831 0.903 0.865 0.936 shin 0.893 0.038 0.796 0.893 0.842 0.927 thigh 0.769 0.029 0.818 0.769 0.793 0.87 upperarm 0.773 0.032 0.799 0.773 0.786 0.87 waist Weighted Avg. 0.8 0.033 0.801 0.8 0.799 0.884 === Confusion Matrix === a b c d e f g <-- classified as 419 21 36 18 22 13 47 | a = chest 26 397 45 22 32 38 15 | b = forearm 18 18 488 7 5 22 19 | c = head 3 10 4 521 31 4 4 | d = shin 5 8 3 26 516 14 6 | e = thigh 16 28 33 14 21 444 21 | f = upperarm 36 15 32 19 21 8 446 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3204 79.3659 % Incorrectly Classified Instances 833 20.6341 % Kappa statistic 0.7593 Mean absolute error 0.059 Root mean squared error 0.2428 Relative absolute error 24.0732 % Root relative squared error 69.3876 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.74 0.026 0.824 0.74 0.78 0.857 chest 0.685 0.033 0.774 0.685 0.727 0.826 forearm 0.806 0.043 0.759 0.806 0.782 0.882 head 0.879 0.034 0.814 0.879 0.845 0.923 shin 0.913 0.042 0.786 0.913 0.845 0.936 thigh 0.724 0.031 0.798 0.724 0.759 0.847 upperarm 0.808 0.033 0.805 0.808 0.806 0.887 waist Weighted Avg. 0.794 0.034 0.794 0.794 0.792 0.88 === Confusion Matrix === a b c d e f g <-- classified as 426 25 20 25 16 18 46 | a = chest 29 394 54 14 26 37 21 | b = forearm 14 29 465 10 5 29 25 | c = head 1 4 3 507 54 6 2 | d = shin 4 4 6 23 528 9 4 | e = thigh 14 45 33 30 22 418 15 | f = upperarm 29 8 32 14 21 7 466 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3211 79.5393 % Incorrectly Classified Instances 826 20.4607 % Kappa statistic 0.7613 Mean absolute error 0.0585 Root mean squared error 0.2418 Relative absolute error 23.8709 % Root relative squared error 69.0954 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.712 0.032 0.788 0.712 0.748 0.84 chest 0.67 0.035 0.761 0.67 0.712 0.817 forearm 0.849 0.046 0.755 0.849 0.799 0.902 head 0.906 0.041 0.788 0.906 0.843 0.933 shin 0.872 0.028 0.84 0.872 0.856 0.922 thigh 0.757 0.023 0.844 0.757 0.798 0.867 upperarm 0.801 0.034 0.797 0.801 0.799 0.883 waist Weighted Avg. 0.795 0.034 0.796 0.795 0.794 0.881 === Confusion Matrix === a b c d e f g <-- classified as 410 33 31 27 10 21 44 | a = chest 31 385 55 28 20 34 22 | b = forearm 16 22 490 7 8 12 22 | c = head 3 12 7 523 27 2 3 | d = shin 6 11 10 37 504 4 6 | e = thigh 17 29 29 32 12 437 21 | f = upperarm 37 14 27 10 19 8 462 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3240 80.2576 % Incorrectly Classified Instances 797 19.7424 % Kappa statistic 0.7697 Mean absolute error 0.0564 Root mean squared error 0.2375 Relative absolute error 23.0328 % Root relative squared error 67.8716 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.712 0.032 0.788 0.712 0.748 0.84 chest 0.75 0.035 0.781 0.75 0.765 0.857 forearm 0.827 0.044 0.76 0.827 0.792 0.892 head 0.899 0.03 0.832 0.899 0.864 0.935 shin 0.884 0.029 0.836 0.884 0.86 0.928 thigh 0.745 0.026 0.825 0.745 0.783 0.859 upperarm 0.801 0.034 0.795 0.801 0.798 0.883 waist Weighted Avg. 0.803 0.033 0.803 0.803 0.801 0.885 === Confusion Matrix === a b c d e f g <-- classified as 410 27 32 18 13 31 45 | a = chest 16 431 45 15 25 30 13 | b = forearm 17 30 477 4 3 18 28 | c = head 5 14 3 519 28 1 7 | d = shin 7 8 9 27 511 8 8 | e = thigh 27 28 31 24 19 430 18 | f = upperarm 38 14 31 17 12 3 462 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3206 79.4351 % Incorrectly Classified Instances 830 20.5649 % Kappa statistic 0.7601 Mean absolute error 0.0588 Root mean squared error 0.2424 Relative absolute error 23.9924 % Root relative squared error 69.2711 % Total Number of Instances 4036 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.708 0.025 0.823 0.708 0.761 0.841 chest 0.687 0.039 0.747 0.687 0.716 0.824 forearm 0.837 0.045 0.756 0.837 0.794 0.896 head 0.905 0.032 0.823 0.905 0.862 0.936 shin 0.884 0.031 0.827 0.884 0.854 0.926 thigh 0.742 0.027 0.821 0.742 0.78 0.857 upperarm 0.797 0.04 0.767 0.797 0.782 0.878 waist Weighted Avg. 0.794 0.034 0.795 0.794 0.793 0.88 === Confusion Matrix === a b c d e f g <-- classified as 408 39 25 19 17 22 46 | a = chest 25 395 52 19 29 31 24 | b = forearm 11 26 483 4 4 21 28 | c = head 2 11 2 522 29 5 6 | d = shin 7 5 8 31 510 9 7 | e = thigh 15 40 34 15 16 428 29 | f = upperarm 28 13 35 24 12 5 460 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3220 79.782 % Incorrectly Classified Instances 816 20.218 % Kappa statistic 0.7641 Mean absolute error 0.0578 Root mean squared error 0.2403 Relative absolute error 23.5877 % Root relative squared error 68.6844 % Total Number of Instances 4036 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.701 0.026 0.818 0.701 0.755 0.838 chest 0.683 0.028 0.802 0.683 0.738 0.828 forearm 0.844 0.049 0.744 0.844 0.791 0.898 head 0.903 0.032 0.827 0.903 0.863 0.936 shin 0.865 0.036 0.801 0.865 0.832 0.914 thigh 0.763 0.028 0.818 0.763 0.789 0.867 upperarm 0.825 0.038 0.785 0.825 0.805 0.894 waist Weighted Avg. 0.798 0.034 0.799 0.798 0.796 0.882 === Confusion Matrix === a b c d e f g <-- classified as 404 21 39 25 24 16 47 | a = chest 28 393 56 10 21 46 21 | b = forearm 8 25 487 9 5 15 28 | c = head 0 7 3 521 37 5 4 | d = shin 3 11 12 34 499 10 8 | e = thigh 19 24 31 18 23 440 22 | f = upperarm 32 9 27 13 14 6 476 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3216 79.6829 % Incorrectly Classified Instances 820 20.3171 % Kappa statistic 0.763 Mean absolute error 0.058 Root mean squared error 0.2409 Relative absolute error 23.7033 % Root relative squared error 68.8525 % Total Number of Instances 4036 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.722 0.033 0.786 0.722 0.753 0.845 chest 0.708 0.03 0.797 0.708 0.75 0.839 forearm 0.843 0.044 0.761 0.843 0.8 0.899 head 0.91 0.036 0.807 0.91 0.856 0.937 shin 0.879 0.032 0.823 0.879 0.85 0.924 thigh 0.735 0.027 0.82 0.735 0.775 0.854 upperarm 0.781 0.036 0.785 0.781 0.783 0.873 waist Weighted Avg. 0.797 0.034 0.797 0.797 0.795 0.881 === Confusion Matrix === a b c d e f g <-- classified as 416 30 32 17 19 13 49 | a = chest 31 408 44 18 22 32 21 | b = forearm 12 18 487 8 3 21 29 | c = head 3 6 4 524 28 8 3 | d = shin 8 7 11 30 507 10 4 | e = thigh 20 27 32 32 25 424 17 | f = upperarm 39 16 30 20 12 9 450 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3246 80.4262 % Incorrectly Classified Instances 790 19.5738 % Kappa statistic 0.7716 Mean absolute error 0.0559 Root mean squared error 0.2365 Relative absolute error 22.8361 % Root relative squared error 67.5813 % Total Number of Instances 4036 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.753 0.031 0.803 0.753 0.777 0.861 chest 0.705 0.032 0.784 0.705 0.742 0.836 forearm 0.832 0.04 0.775 0.832 0.802 0.896 head 0.88 0.03 0.831 0.88 0.855 0.925 shin 0.882 0.034 0.813 0.882 0.846 0.924 thigh 0.752 0.026 0.83 0.752 0.789 0.863 upperarm 0.825 0.036 0.794 0.825 0.809 0.895 waist Weighted Avg. 0.804 0.033 0.804 0.804 0.803 0.886 === Confusion Matrix === a b c d e f g <-- classified as 433 27 28 19 18 16 34 | a = chest 30 406 37 21 23 37 22 | b = forearm 19 21 481 7 3 19 28 | c = head 6 16 5 507 33 2 7 | d = shin 4 15 11 17 510 9 12 | e = thigh 17 25 32 23 26 434 20 | f = upperarm 30 8 27 16 14 6 475 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 7 FOLD: 0 Correctly Classified Instances 3250 80.5053 % Incorrectly Classified Instances 787 19.4947 % Kappa statistic 0.7726 Mean absolute error 0.0557 Root mean squared error 0.236 Relative absolute error 22.7438 % Root relative squared error 67.4445 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.753 0.027 0.82 0.753 0.786 0.863 chest 0.718 0.029 0.805 0.718 0.759 0.845 forearm 0.823 0.04 0.772 0.823 0.797 0.891 head 0.884 0.028 0.842 0.884 0.862 0.928 shin 0.879 0.04 0.785 0.879 0.829 0.919 thigh 0.761 0.027 0.824 0.761 0.791 0.867 upperarm 0.816 0.036 0.793 0.816 0.804 0.89 waist Weighted Avg. 0.805 0.032 0.806 0.805 0.804 0.886 === Confusion Matrix === a b c d e f g <-- classified as 434 21 21 19 25 18 38 | a = chest 29 413 38 12 24 36 23 | b = forearm 9 26 475 8 4 24 31 | c = head 2 11 4 510 39 6 5 | d = shin 5 10 13 27 508 5 10 | e = thigh 20 27 26 16 33 439 16 | f = upperarm 30 5 38 14 14 5 471 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3220 79.7622 % Incorrectly Classified Instances 817 20.2378 % Kappa statistic 0.7639 Mean absolute error 0.0578 Root mean squared error 0.2405 Relative absolute error 23.6108 % Root relative squared error 68.7179 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.727 0.03 0.803 0.727 0.763 0.849 chest 0.659 0.029 0.79 0.659 0.718 0.815 forearm 0.82 0.042 0.767 0.82 0.792 0.889 head 0.908 0.034 0.817 0.908 0.86 0.937 shin 0.896 0.03 0.834 0.896 0.864 0.933 thigh 0.778 0.03 0.812 0.778 0.795 0.874 upperarm 0.794 0.042 0.76 0.794 0.776 0.876 waist Weighted Avg. 0.798 0.034 0.797 0.798 0.796 0.882 === Confusion Matrix === a b c d e f g <-- classified as 419 23 29 22 14 25 44 | a = chest 21 379 50 26 27 44 28 | b = forearm 13 23 473 7 5 19 37 | c = head 4 9 5 524 28 3 4 | d = shin 6 8 5 24 518 12 5 | e = thigh 22 22 30 17 10 449 27 | f = upperarm 37 16 25 21 19 1 458 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3217 79.6879 % Incorrectly Classified Instances 820 20.3121 % Kappa statistic 0.763 Mean absolute error 0.058 Root mean squared error 0.2409 Relative absolute error 23.6975 % Root relative squared error 68.844 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.734 0.031 0.798 0.734 0.765 0.852 chest 0.708 0.034 0.774 0.708 0.739 0.837 forearm 0.851 0.038 0.788 0.851 0.818 0.906 head 0.891 0.036 0.804 0.891 0.845 0.927 shin 0.877 0.034 0.813 0.877 0.844 0.922 thigh 0.726 0.027 0.82 0.726 0.77 0.85 upperarm 0.79 0.037 0.781 0.79 0.786 0.877 waist Weighted Avg. 0.797 0.034 0.797 0.797 0.795 0.882 === Confusion Matrix === a b c d e f g <-- classified as 423 25 26 18 16 15 53 | a = chest 32 407 37 27 23 33 16 | b = forearm 13 27 491 7 3 14 22 | c = head 3 12 7 514 35 2 4 | d = shin 5 9 4 31 507 16 6 | e = thigh 21 32 29 21 28 419 27 | f = upperarm 33 14 29 21 12 12 456 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3255 80.6292 % Incorrectly Classified Instances 782 19.3708 % Kappa statistic 0.774 Mean absolute error 0.0553 Root mean squared error 0.2353 Relative absolute error 22.5993 % Root relative squared error 67.2299 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.755 0.034 0.787 0.755 0.771 0.861 chest 0.701 0.034 0.775 0.701 0.736 0.834 forearm 0.823 0.043 0.761 0.823 0.791 0.89 head 0.922 0.027 0.853 0.922 0.886 0.948 shin 0.893 0.029 0.836 0.893 0.864 0.932 thigh 0.718 0.024 0.831 0.718 0.77 0.847 upperarm 0.832 0.035 0.799 0.832 0.815 0.898 waist Weighted Avg. 0.806 0.032 0.806 0.806 0.805 0.887 === Confusion Matrix === a b c d e f g <-- classified as 435 30 26 11 13 18 43 | a = chest 31 403 57 14 19 32 19 | b = forearm 18 26 475 6 8 16 28 | c = head 4 6 2 532 29 3 1 | d = shin 12 7 4 28 516 7 4 | e = thigh 17 37 34 25 24 414 26 | f = upperarm 36 11 26 8 8 8 480 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3202 79.3163 % Incorrectly Classified Instances 835 20.6837 % Kappa statistic 0.7587 Mean absolute error 0.0591 Root mean squared error 0.2431 Relative absolute error 24.131 % Root relative squared error 69.4708 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.703 0.028 0.807 0.703 0.751 0.838 chest 0.701 0.034 0.776 0.701 0.737 0.834 forearm 0.846 0.042 0.769 0.846 0.805 0.902 head 0.882 0.033 0.816 0.882 0.848 0.924 shin 0.877 0.04 0.785 0.877 0.828 0.918 thigh 0.738 0.028 0.816 0.738 0.775 0.855 upperarm 0.804 0.036 0.788 0.804 0.796 0.884 waist Weighted Avg. 0.793 0.034 0.794 0.793 0.792 0.879 === Confusion Matrix === a b c d e f g <-- classified as 405 30 33 28 20 18 42 | a = chest 18 403 45 17 37 36 19 | b = forearm 15 17 488 4 6 20 27 | c = head 3 10 4 509 40 2 9 | d = shin 7 14 7 21 507 10 12 | e = thigh 22 31 36 27 19 426 16 | f = upperarm 32 14 22 18 17 10 464 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3210 79.5145 % Incorrectly Classified Instances 827 20.4855 % Kappa statistic 0.761 Mean absolute error 0.0585 Root mean squared error 0.2419 Relative absolute error 23.8998 % Root relative squared error 69.1372 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.719 0.028 0.81 0.719 0.762 0.845 chest 0.682 0.024 0.824 0.682 0.746 0.829 forearm 0.828 0.051 0.732 0.828 0.777 0.889 head 0.91 0.036 0.809 0.91 0.856 0.937 shin 0.879 0.033 0.818 0.879 0.847 0.923 thigh 0.749 0.027 0.821 0.749 0.783 0.861 upperarm 0.799 0.04 0.767 0.799 0.783 0.879 waist Weighted Avg. 0.795 0.034 0.797 0.795 0.794 0.88 === Confusion Matrix === a b c d e f g <-- classified as 414 22 36 20 19 14 51 | a = chest 26 392 51 28 24 28 26 | b = forearm 15 9 478 9 7 31 28 | c = head 2 9 5 525 29 0 7 | d = shin 6 5 11 22 508 12 14 | e = thigh 19 26 42 25 19 432 14 | f = upperarm 29 13 30 20 15 9 461 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3208 79.4846 % Incorrectly Classified Instances 828 20.5154 % Kappa statistic 0.7607 Mean absolute error 0.0586 Root mean squared error 0.2421 Relative absolute error 23.9346 % Root relative squared error 69.1876 % Total Number of Instances 4036 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.727 0.03 0.8 0.727 0.762 0.849 chest 0.677 0.031 0.781 0.677 0.725 0.823 forearm 0.811 0.05 0.732 0.811 0.769 0.881 head 0.887 0.027 0.847 0.887 0.867 0.93 shin 0.917 0.031 0.83 0.917 0.871 0.943 thigh 0.749 0.032 0.794 0.749 0.771 0.858 upperarm 0.795 0.038 0.779 0.795 0.787 0.879 waist Weighted Avg. 0.795 0.034 0.795 0.795 0.793 0.88 === Confusion Matrix === a b c d e f g <-- classified as 419 29 32 10 18 22 46 | a = chest 37 389 49 15 23 39 23 | b = forearm 12 26 469 5 4 28 34 | c = head 6 7 9 511 28 10 5 | d = shin 3 6 8 24 529 6 1 | e = thigh 20 24 37 20 23 433 21 | f = upperarm 27 17 37 18 12 7 458 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3226 79.9306 % Incorrectly Classified Instances 810 20.0694 % Kappa statistic 0.7659 Mean absolute error 0.0573 Root mean squared error 0.2395 Relative absolute error 23.4143 % Root relative squared error 68.4314 % Total Number of Instances 4036 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.712 0.029 0.802 0.712 0.754 0.841 chest 0.729 0.038 0.762 0.729 0.745 0.846 forearm 0.817 0.039 0.776 0.817 0.796 0.889 head 0.913 0.03 0.834 0.913 0.872 0.941 shin 0.863 0.025 0.851 0.863 0.857 0.919 thigh 0.759 0.031 0.804 0.759 0.781 0.864 upperarm 0.802 0.041 0.764 0.802 0.782 0.88 waist Weighted Avg. 0.799 0.033 0.799 0.799 0.798 0.883 === Confusion Matrix === a b c d e f g <-- classified as 410 31 22 21 13 24 55 | a = chest 32 420 39 12 13 39 21 | b = forearm 13 34 472 7 4 21 27 | c = head 1 9 2 526 24 7 7 | d = shin 5 16 7 31 498 12 8 | e = thigh 16 31 32 20 15 438 25 | f = upperarm 34 10 34 14 18 4 462 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3183 78.8652 % Incorrectly Classified Instances 853 21.1348 % Kappa statistic 0.7534 Mean absolute error 0.0604 Root mean squared error 0.2457 Relative absolute error 24.6573 % Root relative squared error 70.2243 % Total Number of Instances 4036 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.685 0.032 0.782 0.685 0.73 0.827 chest 0.675 0.032 0.778 0.675 0.723 0.822 forearm 0.822 0.048 0.74 0.822 0.779 0.887 head 0.879 0.036 0.802 0.879 0.839 0.921 shin 0.872 0.034 0.811 0.872 0.84 0.919 thigh 0.785 0.029 0.821 0.785 0.802 0.878 upperarm 0.802 0.036 0.788 0.802 0.795 0.883 waist Weighted Avg. 0.789 0.035 0.789 0.789 0.787 0.877 === Confusion Matrix === a b c d e f g <-- classified as 394 29 38 21 18 22 53 | a = chest 27 389 55 28 27 31 19 | b = forearm 17 21 475 5 4 25 31 | c = head 5 14 9 507 32 5 5 | d = shin 7 7 7 36 503 10 7 | e = thigh 16 28 28 21 22 453 9 | f = upperarm 38 12 30 14 14 6 462 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3217 79.7076 % Incorrectly Classified Instances 819 20.2924 % Kappa statistic 0.7633 Mean absolute error 0.058 Root mean squared error 0.2408 Relative absolute error 23.6744 % Root relative squared error 68.8105 % Total Number of Instances 4036 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.71 0.031 0.792 0.71 0.749 0.839 chest 0.715 0.034 0.775 0.715 0.744 0.84 forearm 0.843 0.04 0.778 0.843 0.809 0.901 head 0.903 0.032 0.826 0.903 0.863 0.936 shin 0.874 0.034 0.811 0.874 0.841 0.92 thigh 0.742 0.026 0.825 0.742 0.781 0.858 upperarm 0.793 0.039 0.772 0.793 0.783 0.877 waist Weighted Avg. 0.797 0.034 0.797 0.797 0.796 0.882 === Confusion Matrix === a b c d e f g <-- classified as 408 34 23 23 16 19 52 | a = chest 29 411 41 8 28 42 16 | b = forearm 13 22 487 5 1 21 29 | c = head 3 14 5 521 26 3 5 | d = shin 5 6 15 34 505 4 9 | e = thigh 20 34 27 21 23 428 24 | f = upperarm 37 9 28 19 24 2 457 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 8 FOLD: 0 Correctly Classified Instances 3228 79.9604 % Incorrectly Classified Instances 809 20.0396 % Kappa statistic 0.7662 Mean absolute error 0.0573 Root mean squared error 0.2393 Relative absolute error 23.3796 % Root relative squared error 68.3807 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.755 0.032 0.798 0.755 0.776 0.862 chest 0.691 0.031 0.787 0.691 0.736 0.83 forearm 0.835 0.04 0.777 0.835 0.805 0.898 head 0.901 0.036 0.806 0.901 0.851 0.933 shin 0.889 0.032 0.825 0.889 0.856 0.929 thigh 0.726 0.027 0.817 0.726 0.769 0.85 upperarm 0.799 0.036 0.786 0.799 0.792 0.881 waist Weighted Avg. 0.8 0.033 0.8 0.8 0.798 0.883 === Confusion Matrix === a b c d e f g <-- classified as 435 24 30 19 16 15 37 | a = chest 24 398 44 24 24 42 20 | b = forearm 21 23 482 6 2 20 23 | c = head 4 9 1 520 30 5 8 | d = shin 3 12 12 23 514 6 8 | e = thigh 18 27 24 33 27 419 29 | f = upperarm 40 13 27 20 10 6 460 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3237 80.1833 % Incorrectly Classified Instances 800 19.8167 % Kappa statistic 0.7688 Mean absolute error 0.0566 Root mean squared error 0.2379 Relative absolute error 23.1195 % Root relative squared error 67.9992 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.727 0.031 0.797 0.727 0.76 0.848 chest 0.704 0.031 0.788 0.704 0.744 0.836 forearm 0.824 0.034 0.803 0.824 0.813 0.895 head 0.889 0.032 0.825 0.889 0.856 0.929 shin 0.879 0.036 0.805 0.879 0.84 0.922 thigh 0.785 0.031 0.807 0.785 0.796 0.877 upperarm 0.804 0.037 0.785 0.804 0.794 0.884 waist Weighted Avg. 0.802 0.033 0.801 0.802 0.801 0.884 === Confusion Matrix === a b c d e f g <-- classified as 419 34 23 20 14 19 47 | a = chest 29 405 28 18 25 45 25 | b = forearm 16 26 476 4 6 25 25 | c = head 5 7 5 513 42 3 2 | d = shin 8 7 8 27 508 12 8 | e = thigh 10 22 26 22 24 453 20 | f = upperarm 39 13 27 18 12 4 463 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3220 79.7622 % Incorrectly Classified Instances 817 20.2378 % Kappa statistic 0.7639 Mean absolute error 0.0578 Root mean squared error 0.2405 Relative absolute error 23.6108 % Root relative squared error 68.7179 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.727 0.03 0.801 0.727 0.763 0.849 chest 0.68 0.031 0.784 0.68 0.728 0.824 forearm 0.804 0.039 0.776 0.804 0.79 0.883 head 0.908 0.037 0.804 0.908 0.853 0.936 shin 0.872 0.028 0.837 0.872 0.854 0.922 thigh 0.769 0.034 0.793 0.769 0.781 0.868 upperarm 0.821 0.037 0.786 0.821 0.803 0.892 waist Weighted Avg. 0.798 0.034 0.797 0.798 0.796 0.882 === Confusion Matrix === a b c d e f g <-- classified as 419 30 23 15 13 23 53 | a = chest 33 391 42 22 28 42 17 | b = forearm 14 28 465 7 4 30 30 | c = head 2 5 10 524 22 9 5 | d = shin 4 4 6 43 503 7 10 | e = thigh 20 28 27 25 19 444 14 | f = upperarm 31 13 26 16 12 5 474 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3227 79.9356 % Incorrectly Classified Instances 810 20.0644 % Kappa statistic 0.7659 Mean absolute error 0.0573 Root mean squared error 0.2394 Relative absolute error 23.4085 % Root relative squared error 68.4229 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.694 0.025 0.823 0.694 0.753 0.835 chest 0.694 0.037 0.759 0.694 0.725 0.829 forearm 0.853 0.046 0.755 0.853 0.801 0.903 head 0.898 0.035 0.812 0.898 0.853 0.932 shin 0.882 0.033 0.816 0.882 0.848 0.924 thigh 0.75 0.027 0.823 0.75 0.785 0.862 upperarm 0.823 0.032 0.813 0.823 0.818 0.896 waist Weighted Avg. 0.799 0.033 0.8 0.799 0.798 0.883 === Confusion Matrix === a b c d e f g <-- classified as 400 26 36 20 26 24 44 | a = chest 23 399 54 25 24 29 21 | b = forearm 12 21 493 7 5 22 18 | c = head 2 13 4 518 32 4 4 | d = shin 9 11 8 26 509 7 7 | e = thigh 16 45 31 23 14 433 15 | f = upperarm 24 11 27 19 14 7 475 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3247 80.431 % Incorrectly Classified Instances 790 19.569 % Kappa statistic 0.7717 Mean absolute error 0.0559 Root mean squared error 0.2365 Relative absolute error 22.8305 % Root relative squared error 67.5729 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.712 0.027 0.813 0.712 0.759 0.842 chest 0.675 0.032 0.779 0.675 0.723 0.822 forearm 0.825 0.04 0.776 0.825 0.8 0.893 head 0.92 0.035 0.814 0.92 0.864 0.943 shin 0.891 0.029 0.834 0.891 0.862 0.931 thigh 0.78 0.029 0.82 0.78 0.799 0.876 upperarm 0.827 0.036 0.791 0.827 0.808 0.895 waist Weighted Avg. 0.804 0.033 0.804 0.804 0.802 0.886 === Confusion Matrix === a b c d e f g <-- classified as 410 28 31 16 23 20 48 | a = chest 28 388 51 20 29 38 21 | b = forearm 15 25 477 9 3 20 29 | c = head 1 11 2 531 25 5 2 | d = shin 7 5 8 27 514 11 5 | e = thigh 18 28 22 27 11 450 21 | f = upperarm 25 13 24 22 11 5 477 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3227 79.9356 % Incorrectly Classified Instances 810 20.0644 % Kappa statistic 0.7659 Mean absolute error 0.0573 Root mean squared error 0.2394 Relative absolute error 23.4085 % Root relative squared error 68.4229 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.759 0.033 0.792 0.759 0.775 0.863 chest 0.697 0.032 0.785 0.697 0.738 0.833 forearm 0.83 0.048 0.743 0.83 0.784 0.891 head 0.908 0.032 0.826 0.908 0.865 0.938 shin 0.879 0.032 0.819 0.879 0.848 0.923 thigh 0.744 0.025 0.835 0.744 0.786 0.859 upperarm 0.778 0.032 0.8 0.778 0.789 0.873 waist Weighted Avg. 0.799 0.033 0.8 0.799 0.798 0.883 === Confusion Matrix === a b c d e f g <-- classified as 437 23 29 22 18 16 31 | a = chest 38 401 56 18 19 28 15 | b = forearm 15 23 479 5 5 22 28 | c = head 3 6 5 524 29 1 9 | d = shin 9 6 4 32 508 10 9 | e = thigh 14 34 39 21 20 429 20 | f = upperarm 36 18 33 12 21 8 449 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3227 79.9554 % Incorrectly Classified Instances 809 20.0446 % Kappa statistic 0.7661 Mean absolute error 0.0573 Root mean squared error 0.2393 Relative absolute error 23.3854 % Root relative squared error 68.3891 % Total Number of Instances 4036 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.708 0.025 0.822 0.708 0.761 0.841 chest 0.706 0.028 0.806 0.706 0.753 0.839 forearm 0.816 0.039 0.777 0.816 0.796 0.889 head 0.884 0.035 0.808 0.884 0.844 0.924 shin 0.905 0.038 0.797 0.905 0.848 0.933 thigh 0.787 0.034 0.792 0.787 0.79 0.876 upperarm 0.79 0.033 0.799 0.79 0.794 0.879 waist Weighted Avg. 0.8 0.033 0.8 0.8 0.798 0.883 === Confusion Matrix === a b c d e f g <-- classified as 407 22 24 25 17 30 50 | a = chest 17 406 50 15 23 47 17 | b = forearm 15 25 471 12 3 22 29 | c = head 2 13 6 510 40 5 1 | d = shin 3 6 6 29 523 7 4 | e = thigh 14 23 26 19 27 454 14 | f = upperarm 37 9 23 21 23 8 456 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3209 79.5094 % Incorrectly Classified Instances 827 20.4906 % Kappa statistic 0.7609 Mean absolute error 0.0585 Root mean squared error 0.242 Relative absolute error 23.9057 % Root relative squared error 69.1458 % Total Number of Instances 4036 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.727 0.029 0.807 0.727 0.765 0.849 chest 0.704 0.033 0.78 0.704 0.74 0.836 forearm 0.841 0.043 0.766 0.841 0.802 0.899 head 0.894 0.03 0.831 0.894 0.861 0.932 shin 0.874 0.04 0.784 0.874 0.827 0.917 thigh 0.737 0.03 0.802 0.737 0.768 0.853 upperarm 0.789 0.034 0.797 0.789 0.793 0.878 waist Weighted Avg. 0.795 0.034 0.795 0.795 0.794 0.88 === Confusion Matrix === a b c d e f g <-- classified as 418 28 24 28 16 19 42 | a = chest 25 405 41 19 31 35 19 | b = forearm 13 19 485 2 6 23 29 | c = head 2 11 0 516 38 5 5 | d = shin 6 15 9 27 505 11 5 | e = thigh 25 33 35 17 26 425 16 | f = upperarm 29 8 39 12 22 12 455 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3192 79.0882 % Incorrectly Classified Instances 844 20.9118 % Kappa statistic 0.756 Mean absolute error 0.0597 Root mean squared error 0.2444 Relative absolute error 24.3971 % Root relative squared error 69.8528 % Total Number of Instances 4036 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.696 0.036 0.765 0.696 0.729 0.83 chest 0.713 0.033 0.782 0.713 0.746 0.84 forearm 0.815 0.042 0.764 0.815 0.789 0.886 head 0.891 0.031 0.829 0.891 0.859 0.93 shin 0.91 0.031 0.831 0.91 0.869 0.94 thigh 0.734 0.031 0.8 0.734 0.765 0.851 upperarm 0.778 0.041 0.758 0.778 0.768 0.868 waist Weighted Avg. 0.791 0.035 0.79 0.791 0.789 0.878 === Confusion Matrix === a b c d e f g <-- classified as 401 31 31 21 12 27 53 | a = chest 34 410 28 19 22 38 24 | b = forearm 13 28 470 8 5 24 29 | c = head 5 15 6 513 24 5 8 | d = shin 4 6 8 19 526 7 8 | e = thigh 25 21 38 22 27 424 21 | f = upperarm 42 13 34 17 17 5 448 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3179 78.7661 % Incorrectly Classified Instances 857 21.2339 % Kappa statistic 0.7523 Mean absolute error 0.0607 Root mean squared error 0.2463 Relative absolute error 24.7729 % Root relative squared error 70.3887 % Total Number of Instances 4036 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.701 0.029 0.8 0.701 0.747 0.836 chest 0.698 0.034 0.773 0.698 0.734 0.832 forearm 0.82 0.047 0.745 0.82 0.781 0.886 head 0.894 0.035 0.811 0.894 0.851 0.93 shin 0.862 0.035 0.805 0.862 0.832 0.913 thigh 0.763 0.034 0.787 0.763 0.775 0.864 upperarm 0.776 0.034 0.794 0.776 0.785 0.871 waist Weighted Avg. 0.788 0.035 0.788 0.788 0.786 0.876 === Confusion Matrix === a b c d e f g <-- classified as 404 31 32 16 17 25 51 | a = chest 22 402 45 19 31 40 17 | b = forearm 10 28 473 9 6 23 28 | c = head 3 10 6 515 34 6 2 | d = shin 4 8 8 33 498 17 10 | e = thigh 23 26 42 22 16 440 8 | f = upperarm 39 15 29 21 17 8 447 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 9 FOLD: 0 Correctly Classified Instances 3210 79.5145 % Incorrectly Classified Instances 827 20.4855 % Kappa statistic 0.761 Mean absolute error 0.0585 Root mean squared error 0.2419 Relative absolute error 23.8998 % Root relative squared error 69.1372 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.737 0.032 0.793 0.737 0.764 0.853 chest 0.682 0.033 0.774 0.682 0.725 0.825 forearm 0.846 0.041 0.775 0.846 0.809 0.902 head 0.891 0.031 0.828 0.891 0.858 0.93 shin 0.886 0.034 0.813 0.886 0.848 0.926 thigh 0.718 0.028 0.809 0.718 0.76 0.845 upperarm 0.806 0.039 0.774 0.806 0.789 0.883 waist Weighted Avg. 0.795 0.034 0.795 0.795 0.793 0.881 === Confusion Matrix === a b c d e f g <-- classified as 424 27 30 14 16 15 49 | a = chest 34 393 44 21 20 41 23 | b = forearm 10 23 488 2 3 21 30 | c = head 5 10 2 514 32 6 8 | d = shin 5 5 7 32 512 10 7 | e = thigh 20 38 30 24 32 414 19 | f = upperarm 37 12 29 14 15 5 465 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3222 79.8117 % Incorrectly Classified Instances 815 20.1883 % Kappa statistic 0.7645 Mean absolute error 0.0577 Root mean squared error 0.2402 Relative absolute error 23.553 % Root relative squared error 68.6338 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.748 0.029 0.808 0.748 0.777 0.859 chest 0.688 0.034 0.773 0.688 0.728 0.827 forearm 0.799 0.035 0.791 0.799 0.795 0.882 head 0.91 0.035 0.814 0.91 0.859 0.938 shin 0.862 0.035 0.805 0.862 0.832 0.913 thigh 0.764 0.032 0.8 0.764 0.782 0.866 upperarm 0.816 0.036 0.792 0.816 0.804 0.89 waist Weighted Avg. 0.798 0.034 0.798 0.798 0.797 0.882 === Confusion Matrix === a b c d e f g <-- classified as 430 32 23 16 20 16 38 | a = chest 22 396 43 16 26 52 21 | b = forearm 17 23 461 7 7 25 37 | c = head 1 7 3 525 32 5 4 | d = shin 5 14 5 41 498 7 8 | e = thigh 23 26 22 28 21 441 16 | f = upperarm 34 14 26 12 15 5 471 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3212 79.564 % Incorrectly Classified Instances 825 20.436 % Kappa statistic 0.7616 Mean absolute error 0.0584 Root mean squared error 0.2416 Relative absolute error 23.842 % Root relative squared error 69.0536 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.719 0.032 0.79 0.719 0.753 0.843 chest 0.661 0.028 0.795 0.661 0.722 0.816 forearm 0.817 0.039 0.776 0.817 0.796 0.889 head 0.892 0.032 0.821 0.892 0.855 0.93 shin 0.891 0.036 0.803 0.891 0.845 0.927 thigh 0.769 0.033 0.796 0.769 0.782 0.868 upperarm 0.82 0.037 0.786 0.82 0.802 0.891 waist Weighted Avg. 0.796 0.034 0.795 0.796 0.794 0.881 === Confusion Matrix === a b c d e f g <-- classified as 414 30 29 20 23 19 41 | a = chest 31 380 40 22 26 53 23 | b = forearm 23 19 472 9 4 21 30 | c = head 2 6 8 514 37 3 6 | d = shin 6 10 8 20 515 12 7 | e = thigh 20 26 20 25 20 444 22 | f = upperarm 28 7 31 16 16 6 473 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3160 78.2759 % Incorrectly Classified Instances 877 21.7241 % Kappa statistic 0.7465 Mean absolute error 0.0621 Root mean squared error 0.2491 Relative absolute error 25.3447 % Root relative squared error 71.1965 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.731 0.031 0.797 0.731 0.763 0.85 chest 0.675 0.032 0.779 0.675 0.723 0.822 forearm 0.832 0.046 0.75 0.832 0.789 0.893 head 0.889 0.035 0.809 0.889 0.847 0.927 shin 0.858 0.038 0.79 0.858 0.823 0.91 thigh 0.73 0.031 0.796 0.73 0.761 0.849 upperarm 0.764 0.04 0.76 0.764 0.762 0.862 waist Weighted Avg. 0.783 0.036 0.783 0.783 0.781 0.873 === Confusion Matrix === a b c d e f g <-- classified as 421 19 24 23 17 26 46 | a = chest 31 388 49 17 31 38 21 | b = forearm 17 24 481 5 2 19 30 | c = head 0 10 5 512 37 3 9 | d = shin 5 8 14 35 496 14 6 | e = thigh 14 38 32 18 27 421 27 | f = upperarm 40 11 36 23 18 8 441 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3222 79.8117 % Incorrectly Classified Instances 815 20.1883 % Kappa statistic 0.7645 Mean absolute error 0.0577 Root mean squared error 0.2402 Relative absolute error 23.553 % Root relative squared error 68.6338 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.691 0.034 0.77 0.691 0.728 0.828 chest 0.741 0.034 0.786 0.741 0.763 0.854 forearm 0.815 0.04 0.771 0.815 0.792 0.887 head 0.863 0.027 0.843 0.863 0.853 0.918 shin 0.91 0.035 0.811 0.91 0.858 0.937 thigh 0.754 0.031 0.804 0.754 0.778 0.862 upperarm 0.813 0.034 0.798 0.813 0.805 0.889 waist Weighted Avg. 0.798 0.034 0.797 0.798 0.797 0.882 === Confusion Matrix === a b c d e f g <-- classified as 398 25 34 18 21 30 50 | a = chest 26 426 37 12 26 31 17 | b = forearm 17 34 471 8 3 21 24 | c = head 7 17 6 498 37 8 4 | d = shin 8 6 6 16 525 6 10 | e = thigh 23 24 34 26 21 435 14 | f = upperarm 38 10 23 13 14 10 469 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3194 79.1182 % Incorrectly Classified Instances 843 20.8818 % Kappa statistic 0.7564 Mean absolute error 0.0597 Root mean squared error 0.2443 Relative absolute error 24.3622 % Root relative squared error 69.8028 % Total Number of Instances 4037 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.691 0.027 0.812 0.691 0.747 0.832 chest 0.694 0.038 0.753 0.694 0.722 0.828 forearm 0.817 0.039 0.778 0.817 0.797 0.889 head 0.898 0.035 0.811 0.898 0.852 0.931 shin 0.877 0.032 0.819 0.877 0.847 0.922 thigh 0.763 0.03 0.81 0.763 0.786 0.866 upperarm 0.799 0.043 0.756 0.799 0.777 0.878 waist Weighted Avg. 0.791 0.035 0.791 0.791 0.79 0.878 === Confusion Matrix === a b c d e f g <-- classified as 398 37 27 27 16 23 48 | a = chest 35 399 38 21 27 28 27 | b = forearm 6 30 472 7 3 24 36 | c = head 4 9 2 518 34 4 6 | d = shin 7 6 6 29 506 15 8 | e = thigh 12 30 39 15 17 440 24 | f = upperarm 28 19 23 22 15 9 461 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3216 79.6829 % Incorrectly Classified Instances 820 20.3171 % Kappa statistic 0.763 Mean absolute error 0.058 Root mean squared error 0.2409 Relative absolute error 23.7033 % Root relative squared error 68.8525 % Total Number of Instances 4036 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.733 0.03 0.804 0.733 0.767 0.851 chest 0.678 0.03 0.788 0.678 0.729 0.824 forearm 0.825 0.044 0.759 0.825 0.791 0.891 head 0.906 0.034 0.815 0.906 0.858 0.936 shin 0.879 0.034 0.81 0.879 0.843 0.922 thigh 0.756 0.03 0.806 0.756 0.78 0.863 upperarm 0.8 0.034 0.796 0.8 0.798 0.883 waist Weighted Avg. 0.797 0.034 0.797 0.797 0.795 0.881 === Confusion Matrix === a b c d e f g <-- classified as 422 26 27 21 18 19 43 | a = chest 21 390 49 20 31 42 22 | b = forearm 20 24 476 9 5 20 23 | c = head 2 10 3 523 29 5 5 | d = shin 8 7 7 26 507 13 9 | e = thigh 19 30 35 23 18 437 16 | f = upperarm 33 8 30 20 18 6 461 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3228 79.9802 % Incorrectly Classified Instances 808 20.0198 % Kappa statistic 0.7664 Mean absolute error 0.0572 Root mean squared error 0.2392 Relative absolute error 23.3565 % Root relative squared error 68.3469 % Total Number of Instances 4036 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.707 0.031 0.79 0.707 0.746 0.838 chest 0.734 0.035 0.777 0.734 0.755 0.849 forearm 0.827 0.04 0.777 0.827 0.801 0.894 head 0.917 0.034 0.819 0.917 0.865 0.941 shin 0.888 0.031 0.829 0.888 0.857 0.928 thigh 0.738 0.027 0.822 0.738 0.778 0.856 upperarm 0.788 0.037 0.781 0.788 0.785 0.876 waist Weighted Avg. 0.8 0.033 0.799 0.8 0.798 0.883 === Confusion Matrix === a b c d e f g <-- classified as 407 30 29 28 14 19 49 | a = chest 34 422 36 12 19 29 23 | b = forearm 5 24 477 6 12 28 25 | c = head 3 6 6 529 24 6 3 | d = shin 4 7 10 31 513 6 7 | e = thigh 20 38 29 23 21 426 20 | f = upperarm 42 16 27 17 16 4 454 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3246 80.4262 % Incorrectly Classified Instances 790 19.5738 % Kappa statistic 0.7716 Mean absolute error 0.0559 Root mean squared error 0.2365 Relative absolute error 22.8361 % Root relative squared error 67.5813 % Total Number of Instances 4036 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.726 0.028 0.812 0.726 0.766 0.849 chest 0.685 0.026 0.816 0.685 0.745 0.83 forearm 0.849 0.043 0.768 0.849 0.807 0.903 head 0.901 0.029 0.837 0.901 0.868 0.936 shin 0.894 0.031 0.827 0.894 0.86 0.932 thigh 0.75 0.032 0.797 0.75 0.773 0.859 upperarm 0.823 0.04 0.776 0.823 0.799 0.892 waist Weighted Avg. 0.804 0.033 0.805 0.804 0.803 0.886 === Confusion Matrix === a b c d e f g <-- classified as 418 23 27 15 16 20 57 | a = chest 28 394 44 21 26 42 20 | b = forearm 13 16 490 7 4 27 20 | c = head 1 13 6 520 28 4 5 | d = shin 5 7 9 23 517 9 8 | e = thigh 22 22 32 18 23 433 27 | f = upperarm 28 8 30 17 11 8 474 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3270 81.0208 % Incorrectly Classified Instances 766 18.9792 % Kappa statistic 0.7786 Mean absolute error 0.0542 Root mean squared error 0.2329 Relative absolute error 22.1424 % Root relative squared error 66.5468 % Total Number of Instances 4036 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.731 0.025 0.829 0.731 0.777 0.853 chest 0.708 0.029 0.803 0.708 0.752 0.839 forearm 0.844 0.041 0.773 0.844 0.807 0.901 head 0.905 0.033 0.822 0.905 0.861 0.936 shin 0.886 0.033 0.818 0.886 0.85 0.926 thigh 0.797 0.027 0.833 0.797 0.815 0.885 upperarm 0.8 0.034 0.798 0.8 0.799 0.883 waist Weighted Avg. 0.81 0.032 0.811 0.81 0.809 0.889 === Confusion Matrix === a b c d e f g <-- classified as 421 25 29 16 15 22 48 | a = chest 23 407 49 19 27 34 16 | b = forearm 14 15 487 9 7 16 29 | c = head 3 9 3 522 31 5 4 | d = shin 3 11 6 31 512 6 9 | e = thigh 19 25 25 22 15 460 11 | f = upperarm 25 15 31 16 19 9 461 | g = waist ------------------------------------------------------------------------------------------------------ SUBJECT: 9 RUN: 0 FOLD: 0 Correctly Classified Instances 3189 90.803 % Incorrectly Classified Instances 323 9.197 % Kappa statistic 0.8927 Mean absolute error 0.0263 Root mean squared error 0.1621 Relative absolute error 10.7299 % Root relative squared error 46.3247 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.893 0.015 0.909 0.893 0.901 0.939 chest 0.882 0.01 0.934 0.882 0.907 0.936 forearm 0.94 0.014 0.92 0.94 0.93 0.963 head 0.938 0.015 0.915 0.938 0.926 0.962 shin 0.936 0.021 0.883 0.936 0.909 0.958 thigh 0.871 0.022 0.869 0.871 0.87 0.924 upperarm 0.896 0.011 0.93 0.896 0.913 0.943 waist Weighted Avg. 0.908 0.015 0.909 0.908 0.908 0.946 === Confusion Matrix === a b c d e f g <-- classified as 449 5 5 3 7 29 5 | a = chest 6 441 14 4 7 12 16 | b = forearm 4 8 471 3 2 10 3 | c = head 0 0 3 471 22 2 4 | d = shin 7 1 1 17 469 3 3 | e = thigh 23 13 10 7 9 438 3 | f = upperarm 5 4 8 10 15 10 450 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3134 89.2369 % Incorrectly Classified Instances 378 10.7631 % Kappa statistic 0.8744 Mean absolute error 0.0308 Root mean squared error 0.1754 Relative absolute error 12.557 % Root relative squared error 50.1138 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.901 0.023 0.869 0.901 0.885 0.939 chest 0.84 0.016 0.897 0.84 0.868 0.912 forearm 0.904 0.018 0.892 0.904 0.898 0.943 head 0.91 0.01 0.938 0.91 0.924 0.95 shin 0.944 0.024 0.868 0.944 0.905 0.96 thigh 0.841 0.019 0.879 0.841 0.859 0.911 upperarm 0.906 0.016 0.906 0.906 0.906 0.945 waist Weighted Avg. 0.892 0.018 0.893 0.892 0.892 0.937 === Confusion Matrix === a b c d e f g <-- classified as 453 5 4 4 10 18 9 | a = chest 9 420 23 6 8 17 17 | b = forearm 4 22 453 2 2 11 7 | c = head 2 4 3 457 28 5 3 | d = shin 14 1 1 5 474 3 4 | e = thigh 30 11 15 7 10 422 7 | f = upperarm 9 5 9 6 14 4 455 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3152 89.7494 % Incorrectly Classified Instances 360 10.2506 % Kappa statistic 0.8804 Mean absolute error 0.0293 Root mean squared error 0.1711 Relative absolute error 11.959 % Root relative squared error 48.906 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.897 0.018 0.891 0.897 0.894 0.939 chest 0.844 0.011 0.927 0.844 0.884 0.917 forearm 0.936 0.022 0.878 0.936 0.906 0.957 head 0.908 0.011 0.931 0.908 0.919 0.949 shin 0.944 0.029 0.843 0.944 0.891 0.957 thigh 0.845 0.013 0.914 0.845 0.878 0.916 upperarm 0.908 0.015 0.91 0.908 0.909 0.947 waist Weighted Avg. 0.897 0.017 0.899 0.897 0.897 0.94 === Confusion Matrix === a b c d e f g <-- classified as 451 8 4 4 15 17 4 | a = chest 10 422 25 5 9 9 20 | b = forearm 3 10 469 2 0 9 8 | c = head 3 0 1 456 34 1 7 | d = shin 10 0 3 10 474 0 5 | e = thigh 26 10 22 6 13 424 1 | f = upperarm 3 5 10 7 17 4 456 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3166 90.1481 % Incorrectly Classified Instances 346 9.8519 % Kappa statistic 0.8851 Mean absolute error 0.0281 Root mean squared error 0.1678 Relative absolute error 11.4939 % Root relative squared error 47.9457 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.913 0.022 0.876 0.913 0.894 0.945 chest 0.868 0.011 0.929 0.868 0.898 0.929 forearm 0.91 0.017 0.899 0.91 0.905 0.947 head 0.938 0.01 0.938 0.938 0.938 0.964 shin 0.94 0.019 0.891 0.94 0.915 0.96 thigh 0.839 0.017 0.892 0.839 0.864 0.911 upperarm 0.902 0.019 0.888 0.902 0.895 0.942 waist Weighted Avg. 0.901 0.016 0.902 0.901 0.901 0.943 === Confusion Matrix === a b c d e f g <-- classified as 459 4 6 2 13 17 2 | a = chest 8 434 14 3 5 15 21 | b = forearm 3 10 456 5 2 11 14 | c = head 2 0 1 471 22 1 5 | d = shin 9 3 3 6 472 2 7 | e = thigh 35 7 20 4 7 421 8 | f = upperarm 8 9 7 11 9 5 453 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3172 90.3189 % Incorrectly Classified Instances 340 9.6811 % Kappa statistic 0.8871 Mean absolute error 0.0277 Root mean squared error 0.1663 Relative absolute error 11.2946 % Root relative squared error 47.5281 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.907 0.016 0.907 0.907 0.907 0.945 chest 0.88 0.015 0.907 0.88 0.893 0.933 forearm 0.91 0.019 0.887 0.91 0.899 0.945 head 0.934 0.014 0.918 0.934 0.926 0.96 shin 0.918 0.018 0.897 0.918 0.907 0.95 thigh 0.857 0.017 0.894 0.857 0.875 0.92 upperarm 0.916 0.015 0.913 0.916 0.915 0.951 waist Weighted Avg. 0.903 0.016 0.903 0.903 0.903 0.944 === Confusion Matrix === a b c d e f g <-- classified as 456 7 4 3 9 19 5 | a = chest 8 440 18 12 3 9 10 | b = forearm 4 14 456 0 1 13 13 | c = head 4 3 1 469 21 1 3 | d = shin 11 1 3 15 461 4 7 | e = thigh 16 12 21 7 10 430 6 | f = upperarm 4 8 11 5 9 5 460 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3137 89.3223 % Incorrectly Classified Instances 375 10.6777 % Kappa statistic 0.8754 Mean absolute error 0.0305 Root mean squared error 0.1747 Relative absolute error 12.4573 % Root relative squared error 49.9145 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.883 0.018 0.893 0.883 0.888 0.933 chest 0.87 0.014 0.914 0.87 0.891 0.928 forearm 0.916 0.015 0.913 0.916 0.914 0.951 head 0.902 0.013 0.921 0.902 0.911 0.945 shin 0.946 0.029 0.845 0.946 0.893 0.959 thigh 0.843 0.019 0.881 0.843 0.862 0.912 upperarm 0.892 0.018 0.892 0.892 0.892 0.937 waist Weighted Avg. 0.893 0.018 0.894 0.893 0.893 0.938 === Confusion Matrix === a b c d e f g <-- classified as 444 9 9 6 11 22 2 | a = chest 5 435 11 3 17 16 13 | b = forearm 6 11 459 3 1 10 11 | c = head 4 2 2 453 28 2 11 | d = shin 5 1 1 8 475 4 8 | e = thigh 28 8 14 11 9 423 9 | f = upperarm 5 10 7 8 21 3 448 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3127 89.0376 % Incorrectly Classified Instances 385 10.9624 % Kappa statistic 0.8721 Mean absolute error 0.0313 Root mean squared error 0.177 Relative absolute error 12.7895 % Root relative squared error 50.5757 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.897 0.024 0.861 0.897 0.878 0.936 chest 0.834 0.012 0.921 0.834 0.875 0.911 forearm 0.924 0.02 0.887 0.924 0.905 0.952 head 0.924 0.014 0.919 0.924 0.922 0.955 shin 0.918 0.024 0.865 0.918 0.891 0.947 thigh 0.855 0.018 0.888 0.855 0.871 0.918 upperarm 0.88 0.017 0.898 0.88 0.889 0.932 waist Weighted Avg. 0.89 0.018 0.891 0.89 0.89 0.936 === Confusion Matrix === a b c d e f g <-- classified as 451 4 10 6 12 15 5 | a = chest 8 417 21 8 12 15 19 | b = forearm 4 11 463 2 1 13 7 | c = head 9 0 2 464 19 2 6 | d = shin 11 1 2 16 461 2 9 | e = thigh 34 10 14 3 8 429 4 | f = upperarm 7 10 10 6 20 7 442 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3187 90.746 % Incorrectly Classified Instances 325 9.254 % Kappa statistic 0.892 Mean absolute error 0.0264 Root mean squared error 0.1626 Relative absolute error 10.7963 % Root relative squared error 46.4679 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.907 0.015 0.91 0.907 0.908 0.946 chest 0.868 0.011 0.927 0.868 0.897 0.928 forearm 0.952 0.018 0.898 0.952 0.924 0.967 head 0.918 0.007 0.956 0.918 0.937 0.956 shin 0.956 0.024 0.868 0.956 0.91 0.966 thigh 0.833 0.016 0.899 0.833 0.865 0.909 upperarm 0.918 0.017 0.9 0.918 0.909 0.951 waist Weighted Avg. 0.907 0.015 0.909 0.907 0.907 0.946 === Confusion Matrix === a b c d e f g <-- classified as 456 11 5 3 6 18 4 | a = chest 5 434 15 2 14 13 17 | b = forearm 2 5 477 0 0 10 7 | c = head 3 3 4 461 19 2 10 | d = shin 9 0 1 5 480 1 6 | e = thigh 23 9 21 6 18 418 7 | f = upperarm 3 6 8 5 16 3 461 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3163 90.0626 % Incorrectly Classified Instances 349 9.9374 % Kappa statistic 0.8841 Mean absolute error 0.0284 Root mean squared error 0.1685 Relative absolute error 11.5936 % Root relative squared error 48.1531 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.903 0.015 0.908 0.903 0.905 0.944 chest 0.864 0.014 0.913 0.864 0.888 0.925 forearm 0.93 0.019 0.89 0.93 0.909 0.956 head 0.934 0.014 0.919 0.934 0.927 0.96 shin 0.942 0.021 0.882 0.942 0.911 0.961 thigh 0.815 0.018 0.883 0.815 0.848 0.898 upperarm 0.916 0.015 0.909 0.916 0.913 0.951 waist Weighted Avg. 0.901 0.017 0.901 0.901 0.9 0.942 === Confusion Matrix === a b c d e f g <-- classified as 455 8 8 2 8 20 3 | a = chest 8 432 12 6 10 15 17 | b = forearm 2 12 467 2 1 13 5 | c = head 1 1 3 468 23 2 3 | d = shin 5 1 1 14 472 1 7 | e = thigh 29 10 25 7 11 409 11 | f = upperarm 1 9 9 10 10 3 460 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3172 90.3446 % Incorrectly Classified Instances 339 9.6554 % Kappa statistic 0.8874 Mean absolute error 0.0276 Root mean squared error 0.1661 Relative absolute error 11.2646 % Root relative squared error 47.4649 % Total Number of Instances 3511 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.92 0.019 0.889 0.92 0.904 0.951 chest 0.87 0.016 0.899 0.87 0.884 0.927 forearm 0.922 0.016 0.906 0.922 0.914 0.953 head 0.93 0.012 0.926 0.93 0.928 0.959 shin 0.926 0.019 0.892 0.926 0.909 0.954 thigh 0.853 0.014 0.909 0.853 0.88 0.919 upperarm 0.902 0.016 0.904 0.902 0.903 0.943 waist Weighted Avg. 0.903 0.016 0.904 0.903 0.903 0.944 === Confusion Matrix === a b c d e f g <-- classified as 463 8 6 3 5 13 5 | a = chest 10 436 15 5 6 10 19 | b = forearm 3 15 463 2 1 10 8 | c = head 2 2 2 466 21 4 4 | d = shin 11 2 1 13 464 4 6 | e = thigh 26 11 13 9 9 428 6 | f = upperarm 6 11 11 5 14 2 452 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 1 FOLD: 0 Correctly Classified Instances 3166 90.1481 % Incorrectly Classified Instances 346 9.8519 % Kappa statistic 0.8851 Mean absolute error 0.0281 Root mean squared error 0.1678 Relative absolute error 11.4939 % Root relative squared error 47.9457 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.911 0.018 0.896 0.911 0.903 0.946 chest 0.848 0.014 0.91 0.848 0.878 0.917 forearm 0.938 0.017 0.901 0.938 0.919 0.96 head 0.9 0.013 0.919 0.9 0.909 0.944 shin 0.946 0.026 0.859 0.946 0.9 0.96 thigh 0.857 0.014 0.911 0.857 0.883 0.921 upperarm 0.91 0.013 0.921 0.91 0.916 0.949 waist Weighted Avg. 0.901 0.016 0.902 0.901 0.901 0.943 === Confusion Matrix === a b c d e f g <-- classified as 458 10 4 3 10 15 3 | a = chest 8 424 22 4 10 15 17 | b = forearm 1 15 471 3 1 9 2 | c = head 7 2 2 452 30 2 7 | d = shin 7 0 1 13 474 1 5 | e = thigh 28 10 14 7 8 430 5 | f = upperarm 2 5 9 10 19 0 457 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3175 90.4043 % Incorrectly Classified Instances 337 9.5957 % Kappa statistic 0.8881 Mean absolute error 0.0274 Root mean squared error 0.1656 Relative absolute error 11.195 % Root relative squared error 47.318 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.895 0.021 0.877 0.895 0.886 0.937 chest 0.886 0.012 0.923 0.886 0.904 0.937 forearm 0.916 0.017 0.898 0.916 0.907 0.95 head 0.918 0.008 0.949 0.918 0.933 0.955 shin 0.94 0.021 0.88 0.94 0.909 0.959 thigh 0.847 0.014 0.908 0.847 0.876 0.916 upperarm 0.926 0.018 0.898 0.926 0.912 0.954 waist Weighted Avg. 0.904 0.016 0.905 0.904 0.904 0.944 === Confusion Matrix === a b c d e f g <-- classified as 450 4 8 5 10 22 4 | a = chest 9 443 14 1 10 7 16 | b = forearm 3 13 460 1 1 13 11 | c = head 2 2 4 461 23 0 10 | d = shin 10 1 2 8 471 0 9 | e = thigh 33 10 17 6 8 425 3 | f = upperarm 6 7 7 4 12 1 465 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3129 89.0945 % Incorrectly Classified Instances 383 10.9055 % Kappa statistic 0.8728 Mean absolute error 0.0312 Root mean squared error 0.1765 Relative absolute error 12.7231 % Root relative squared error 50.4441 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.899 0.02 0.885 0.899 0.892 0.94 chest 0.854 0.014 0.909 0.854 0.88 0.92 forearm 0.902 0.018 0.892 0.902 0.897 0.942 head 0.926 0.015 0.914 0.926 0.92 0.956 shin 0.918 0.02 0.885 0.918 0.901 0.949 thigh 0.829 0.022 0.865 0.829 0.846 0.904 upperarm 0.908 0.019 0.889 0.908 0.899 0.945 waist Weighted Avg. 0.891 0.018 0.891 0.891 0.891 0.936 === Confusion Matrix === a b c d e f g <-- classified as 452 6 4 5 6 22 8 | a = chest 9 427 13 10 5 14 22 | b = forearm 5 17 452 3 2 13 9 | c = head 6 0 2 465 21 4 4 | d = shin 11 1 3 14 461 7 5 | e = thigh 22 9 23 6 17 416 9 | f = upperarm 6 10 10 6 9 5 456 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3158 89.9203 % Incorrectly Classified Instances 354 10.0797 % Kappa statistic 0.8824 Mean absolute error 0.0288 Root mean squared error 0.1697 Relative absolute error 11.7597 % Root relative squared error 48.4968 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.903 0.016 0.903 0.903 0.903 0.943 chest 0.86 0.014 0.911 0.86 0.885 0.923 forearm 0.92 0.02 0.887 0.92 0.903 0.95 head 0.956 0.014 0.921 0.956 0.938 0.971 shin 0.95 0.023 0.874 0.95 0.91 0.964 thigh 0.825 0.016 0.898 0.825 0.86 0.905 upperarm 0.88 0.016 0.904 0.88 0.892 0.932 waist Weighted Avg. 0.899 0.017 0.9 0.899 0.899 0.941 === Confusion Matrix === a b c d e f g <-- classified as 454 8 4 3 9 20 5 | a = chest 6 430 17 4 13 8 22 | b = forearm 4 13 461 4 0 12 7 | c = head 1 1 0 480 17 0 3 | d = shin 9 0 2 11 477 1 2 | e = thigh 26 8 23 11 12 414 8 | f = upperarm 3 12 13 8 18 6 442 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3170 90.262 % Incorrectly Classified Instances 342 9.738 % Kappa statistic 0.8864 Mean absolute error 0.0278 Root mean squared error 0.1668 Relative absolute error 11.3611 % Root relative squared error 47.6677 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.922 0.019 0.891 0.922 0.906 0.952 chest 0.864 0.013 0.919 0.864 0.891 0.926 forearm 0.914 0.018 0.893 0.914 0.903 0.948 head 0.914 0.011 0.935 0.914 0.924 0.952 shin 0.952 0.02 0.887 0.952 0.918 0.966 thigh 0.831 0.014 0.91 0.831 0.869 0.909 upperarm 0.92 0.019 0.888 0.92 0.904 0.951 waist Weighted Avg. 0.903 0.016 0.903 0.903 0.902 0.943 === Confusion Matrix === a b c d e f g <-- classified as 464 4 7 3 4 13 8 | a = chest 3 432 20 5 9 13 18 | b = forearm 6 11 458 3 1 10 12 | c = head 3 2 2 459 29 3 4 | d = shin 5 1 2 9 478 1 6 | e = thigh 35 8 18 4 10 417 10 | f = upperarm 5 12 6 8 8 1 462 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3150 89.6925 % Incorrectly Classified Instances 362 10.3075 % Kappa statistic 0.8797 Mean absolute error 0.0295 Root mean squared error 0.1716 Relative absolute error 12.0254 % Root relative squared error 49.0417 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.928 0.021 0.881 0.928 0.904 0.954 chest 0.864 0.013 0.917 0.864 0.89 0.926 forearm 0.924 0.016 0.908 0.924 0.916 0.954 head 0.918 0.016 0.904 0.918 0.911 0.951 shin 0.906 0.023 0.87 0.906 0.888 0.942 thigh 0.841 0.019 0.881 0.841 0.86 0.911 upperarm 0.896 0.013 0.92 0.896 0.908 0.942 waist Weighted Avg. 0.897 0.017 0.897 0.897 0.897 0.94 === Confusion Matrix === a b c d e f g <-- classified as 467 3 6 3 7 16 1 | a = chest 12 432 11 7 7 20 11 | b = forearm 6 11 463 2 1 9 9 | c = head 1 1 2 461 28 3 6 | d = shin 12 3 2 18 455 3 9 | e = thigh 27 15 21 6 8 422 3 | f = upperarm 5 6 5 13 17 6 450 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3148 89.6355 % Incorrectly Classified Instances 364 10.3645 % Kappa statistic 0.8791 Mean absolute error 0.0296 Root mean squared error 0.1721 Relative absolute error 12.0919 % Root relative squared error 49.177 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.901 0.019 0.888 0.901 0.894 0.941 chest 0.828 0.01 0.935 0.828 0.878 0.909 forearm 0.916 0.02 0.884 0.916 0.9 0.948 head 0.932 0.012 0.927 0.932 0.929 0.96 shin 0.962 0.024 0.869 0.962 0.913 0.969 thigh 0.849 0.018 0.889 0.849 0.869 0.915 upperarm 0.886 0.018 0.89 0.886 0.888 0.934 waist Weighted Avg. 0.896 0.017 0.897 0.896 0.896 0.94 === Confusion Matrix === a b c d e f g <-- classified as 453 2 9 4 12 15 8 | a = chest 15 414 21 6 7 15 22 | b = forearm 3 11 459 3 1 15 9 | c = head 3 0 4 468 24 0 3 | d = shin 1 0 2 5 483 5 6 | e = thigh 28 10 12 7 12 426 7 | f = upperarm 7 6 12 12 17 3 445 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3163 90.0626 % Incorrectly Classified Instances 349 9.9374 % Kappa statistic 0.8841 Mean absolute error 0.0284 Root mean squared error 0.1685 Relative absolute error 11.5936 % Root relative squared error 48.1531 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.889 0.016 0.903 0.889 0.896 0.936 chest 0.86 0.014 0.909 0.86 0.884 0.923 forearm 0.932 0.016 0.907 0.932 0.919 0.958 head 0.934 0.013 0.925 0.934 0.93 0.961 shin 0.938 0.021 0.884 0.938 0.91 0.959 thigh 0.849 0.021 0.873 0.849 0.861 0.914 upperarm 0.902 0.016 0.904 0.902 0.903 0.943 waist Weighted Avg. 0.901 0.017 0.901 0.901 0.9 0.942 === Confusion Matrix === a b c d e f g <-- classified as 447 8 4 2 9 28 5 | a = chest 7 430 15 9 11 9 19 | b = forearm 1 7 467 1 1 15 9 | c = head 2 2 2 469 19 3 5 | d = shin 12 3 0 9 471 2 5 | e = thigh 20 14 20 8 9 426 5 | f = upperarm 6 9 7 9 13 5 453 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3162 90.0342 % Incorrectly Classified Instances 350 9.9658 % Kappa statistic 0.8837 Mean absolute error 0.0285 Root mean squared error 0.1687 Relative absolute error 11.6268 % Root relative squared error 48.222 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.903 0.02 0.882 0.903 0.892 0.941 chest 0.888 0.014 0.915 0.888 0.902 0.937 forearm 0.916 0.015 0.911 0.916 0.913 0.951 head 0.926 0.017 0.903 0.926 0.914 0.955 shin 0.914 0.02 0.886 0.914 0.9 0.947 thigh 0.851 0.014 0.909 0.851 0.879 0.918 upperarm 0.904 0.017 0.899 0.904 0.902 0.944 waist Weighted Avg. 0.9 0.017 0.901 0.9 0.9 0.942 === Confusion Matrix === a b c d e f g <-- classified as 455 10 4 7 10 14 4 | a = chest 7 444 17 3 6 10 13 | b = forearm 7 10 459 2 0 10 13 | c = head 4 2 1 464 22 2 6 | d = shin 8 0 1 22 459 2 10 | e = thigh 27 12 13 8 10 427 5 | f = upperarm 8 7 9 8 11 5 454 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3173 90.3731 % Incorrectly Classified Instances 338 9.6269 % Kappa statistic 0.8877 Mean absolute error 0.0275 Root mean squared error 0.1658 Relative absolute error 11.2314 % Root relative squared error 47.3949 % Total Number of Instances 3511 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.883 0.024 0.86 0.883 0.871 0.929 chest 0.89 0.014 0.916 0.89 0.903 0.938 forearm 0.942 0.015 0.911 0.942 0.926 0.963 head 0.922 0.01 0.939 0.922 0.931 0.956 shin 0.924 0.019 0.889 0.924 0.906 0.952 thigh 0.833 0.014 0.909 0.833 0.869 0.91 upperarm 0.932 0.016 0.905 0.932 0.918 0.958 waist Weighted Avg. 0.904 0.016 0.904 0.904 0.904 0.944 === Confusion Matrix === a b c d e f g <-- classified as 444 6 9 7 9 20 8 | a = chest 11 446 12 3 6 9 14 | b = forearm 1 8 472 4 0 6 10 | c = head 3 5 1 462 19 4 7 | d = shin 23 2 2 6 463 0 5 | e = thigh 30 16 14 5 14 419 5 | f = upperarm 4 4 8 5 10 3 467 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 2 FOLD: 0 Correctly Classified Instances 3129 89.0945 % Incorrectly Classified Instances 383 10.9055 % Kappa statistic 0.8728 Mean absolute error 0.0312 Root mean squared error 0.1765 Relative absolute error 12.7231 % Root relative squared error 50.4441 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.895 0.016 0.904 0.895 0.899 0.939 chest 0.854 0.016 0.897 0.854 0.875 0.919 forearm 0.928 0.022 0.874 0.928 0.9 0.953 head 0.93 0.014 0.916 0.93 0.923 0.958 shin 0.936 0.023 0.87 0.936 0.902 0.956 thigh 0.817 0.018 0.886 0.817 0.85 0.9 upperarm 0.876 0.018 0.892 0.876 0.884 0.929 waist Weighted Avg. 0.891 0.018 0.891 0.891 0.891 0.936 === Confusion Matrix === a b c d e f g <-- classified as 450 12 5 7 6 21 2 | a = chest 7 427 20 4 4 18 20 | b = forearm 3 9 466 4 0 10 10 | c = head 3 2 1 467 23 1 5 | d = shin 11 0 3 11 469 0 7 | e = thigh 15 20 22 6 20 410 9 | f = upperarm 9 6 16 11 17 3 440 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3160 89.9772 % Incorrectly Classified Instances 352 10.0228 % Kappa statistic 0.8831 Mean absolute error 0.0286 Root mean squared error 0.1692 Relative absolute error 11.6932 % Root relative squared error 48.3596 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.905 0.02 0.883 0.905 0.894 0.942 chest 0.858 0.015 0.905 0.858 0.881 0.922 forearm 0.91 0.018 0.893 0.91 0.901 0.946 head 0.908 0.012 0.929 0.908 0.918 0.948 shin 0.932 0.022 0.878 0.932 0.904 0.955 thigh 0.855 0.013 0.915 0.855 0.884 0.921 upperarm 0.93 0.017 0.9 0.93 0.915 0.956 waist Weighted Avg. 0.9 0.017 0.9 0.9 0.9 0.942 === Confusion Matrix === a b c d e f g <-- classified as 455 11 4 4 10 14 5 | a = chest 5 430 22 7 9 11 17 | b = forearm 4 17 457 3 1 11 9 | c = head 4 1 3 455 28 3 7 | d = shin 14 1 4 9 468 0 6 | e = thigh 27 7 13 6 12 429 8 | f = upperarm 6 8 9 6 5 1 466 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3147 89.6071 % Incorrectly Classified Instances 365 10.3929 % Kappa statistic 0.8787 Mean absolute error 0.0297 Root mean squared error 0.1723 Relative absolute error 12.1251 % Root relative squared error 49.2445 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.899 0.022 0.874 0.899 0.886 0.939 chest 0.836 0.011 0.927 0.836 0.879 0.913 forearm 0.92 0.019 0.892 0.92 0.906 0.951 head 0.934 0.013 0.923 0.934 0.929 0.961 shin 0.934 0.018 0.897 0.934 0.915 0.958 thigh 0.847 0.019 0.88 0.847 0.863 0.914 upperarm 0.902 0.02 0.883 0.902 0.893 0.941 waist Weighted Avg. 0.896 0.017 0.897 0.896 0.896 0.939 === Confusion Matrix === a b c d e f g <-- classified as 452 5 5 5 8 23 5 | a = chest 9 418 20 7 8 15 23 | b = forearm 2 7 461 4 0 16 11 | c = head 6 2 4 468 16 1 4 | d = shin 9 1 1 9 469 1 12 | e = thigh 36 10 15 6 5 426 5 | f = upperarm 3 8 11 8 17 2 453 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3169 90.2335 % Incorrectly Classified Instances 343 9.7665 % Kappa statistic 0.8861 Mean absolute error 0.0279 Root mean squared error 0.167 Relative absolute error 11.3943 % Root relative squared error 47.7373 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.911 0.022 0.872 0.911 0.891 0.944 chest 0.876 0.013 0.916 0.876 0.896 0.931 forearm 0.948 0.013 0.924 0.948 0.936 0.968 head 0.92 0.009 0.945 0.92 0.932 0.956 shin 0.946 0.023 0.873 0.946 0.908 0.962 thigh 0.819 0.017 0.888 0.819 0.852 0.901 upperarm 0.896 0.016 0.902 0.896 0.899 0.94 waist Weighted Avg. 0.902 0.016 0.903 0.902 0.902 0.943 === Confusion Matrix === a b c d e f g <-- classified as 458 10 4 3 7 18 3 | a = chest 12 438 10 1 8 18 13 | b = forearm 5 7 475 1 0 7 6 | c = head 4 1 0 462 24 2 9 | d = shin 5 2 1 7 475 4 8 | e = thigh 35 9 16 9 12 411 10 | f = upperarm 6 11 8 6 18 3 450 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3166 90.1481 % Incorrectly Classified Instances 346 9.8519 % Kappa statistic 0.8851 Mean absolute error 0.0281 Root mean squared error 0.1678 Relative absolute error 11.4939 % Root relative squared error 47.9457 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.917 0.014 0.917 0.917 0.917 0.951 chest 0.856 0.012 0.924 0.856 0.889 0.922 forearm 0.908 0.025 0.858 0.908 0.883 0.942 head 0.932 0.013 0.925 0.932 0.929 0.96 shin 0.928 0.017 0.903 0.928 0.916 0.956 thigh 0.863 0.019 0.885 0.863 0.874 0.922 upperarm 0.906 0.017 0.901 0.906 0.904 0.945 waist Weighted Avg. 0.901 0.016 0.902 0.901 0.901 0.943 === Confusion Matrix === a b c d e f g <-- classified as 461 2 10 2 4 17 7 | a = chest 4 428 22 8 6 14 18 | b = forearm 4 14 455 3 1 16 8 | c = head 2 3 2 468 20 3 4 | d = shin 12 0 2 11 466 1 10 | e = thigh 18 9 26 5 8 433 3 | f = upperarm 2 7 13 9 11 5 455 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3190 90.8314 % Incorrectly Classified Instances 322 9.1686 % Kappa statistic 0.893 Mean absolute error 0.0262 Root mean squared error 0.1619 Relative absolute error 10.6967 % Root relative squared error 46.2529 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.903 0.016 0.904 0.903 0.903 0.943 chest 0.87 0.012 0.926 0.87 0.897 0.929 forearm 0.94 0.018 0.899 0.94 0.919 0.961 head 0.914 0.013 0.924 0.914 0.919 0.951 shin 0.942 0.021 0.884 0.942 0.912 0.961 thigh 0.865 0.011 0.929 0.865 0.896 0.927 upperarm 0.924 0.018 0.897 0.924 0.911 0.953 waist Weighted Avg. 0.908 0.015 0.909 0.908 0.908 0.947 === Confusion Matrix === a b c d e f g <-- classified as 454 10 9 4 7 13 6 | a = chest 8 435 19 5 9 6 18 | b = forearm 1 12 471 3 2 7 5 | c = head 4 1 2 459 27 3 6 | d = shin 8 0 0 12 473 1 8 | e = thigh 20 6 16 8 8 434 10 | f = upperarm 7 6 7 6 9 3 464 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3149 89.664 % Incorrectly Classified Instances 363 10.336 % Kappa statistic 0.8794 Mean absolute error 0.0295 Root mean squared error 0.1718 Relative absolute error 12.0587 % Root relative squared error 49.1094 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.911 0.023 0.871 0.911 0.89 0.944 chest 0.876 0.011 0.932 0.876 0.903 0.933 forearm 0.922 0.016 0.908 0.922 0.915 0.953 head 0.918 0.013 0.92 0.918 0.919 0.953 shin 0.94 0.029 0.846 0.94 0.891 0.956 thigh 0.819 0.014 0.909 0.819 0.862 0.903 upperarm 0.89 0.016 0.901 0.89 0.896 0.937 waist Weighted Avg. 0.897 0.017 0.898 0.897 0.896 0.94 === Confusion Matrix === a b c d e f g <-- classified as 458 3 3 5 14 18 2 | a = chest 8 438 10 5 13 8 18 | b = forearm 7 14 462 0 0 8 10 | c = head 1 2 3 461 27 1 7 | d = shin 8 3 5 11 472 1 2 | e = thigh 34 4 18 9 16 411 10 | f = upperarm 10 6 8 10 16 5 447 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3164 90.0911 % Incorrectly Classified Instances 348 9.9089 % Kappa statistic 0.8844 Mean absolute error 0.0283 Root mean squared error 0.1683 Relative absolute error 11.5604 % Root relative squared error 48.084 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.909 0.016 0.903 0.909 0.906 0.946 chest 0.852 0.015 0.904 0.852 0.877 0.919 forearm 0.914 0.015 0.909 0.914 0.911 0.949 head 0.942 0.014 0.918 0.942 0.93 0.964 shin 0.926 0.022 0.876 0.926 0.9 0.952 thigh 0.855 0.018 0.886 0.855 0.87 0.918 upperarm 0.908 0.015 0.91 0.908 0.909 0.947 waist Weighted Avg. 0.901 0.017 0.901 0.901 0.901 0.942 === Confusion Matrix === a b c d e f g <-- classified as 457 7 4 2 12 17 4 | a = chest 8 426 15 5 12 18 16 | b = forearm 2 14 458 2 3 10 12 | c = head 3 2 2 473 19 1 2 | d = shin 9 0 1 15 465 5 7 | e = thigh 27 12 16 6 8 429 4 | f = upperarm 0 10 8 12 12 4 456 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3148 89.6355 % Incorrectly Classified Instances 364 10.3645 % Kappa statistic 0.8791 Mean absolute error 0.0296 Root mean squared error 0.1721 Relative absolute error 12.0919 % Root relative squared error 49.177 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.895 0.017 0.9 0.895 0.898 0.939 chest 0.874 0.015 0.905 0.874 0.889 0.929 forearm 0.944 0.022 0.878 0.944 0.91 0.961 head 0.918 0.012 0.928 0.918 0.923 0.953 shin 0.94 0.022 0.877 0.94 0.908 0.959 thigh 0.803 0.014 0.906 0.803 0.851 0.894 upperarm 0.9 0.019 0.886 0.9 0.893 0.941 waist Weighted Avg. 0.896 0.017 0.897 0.896 0.896 0.94 === Confusion Matrix === a b c d e f g <-- classified as 451 7 6 4 9 20 7 | a = chest 4 437 23 6 6 8 16 | b = forearm 2 11 473 1 0 7 7 | c = head 1 1 1 461 25 3 10 | d = shin 7 3 0 9 471 2 9 | e = thigh 34 16 25 8 7 403 9 | f = upperarm 2 8 11 8 19 2 452 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3170 90.2877 % Incorrectly Classified Instances 341 9.7123 % Kappa statistic 0.8867 Mean absolute error 0.0277 Root mean squared error 0.1666 Relative absolute error 11.3311 % Root relative squared error 47.6047 % Total Number of Instances 3511 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.865 0.017 0.895 0.865 0.88 0.924 chest 0.886 0.013 0.917 0.886 0.901 0.936 forearm 0.932 0.016 0.905 0.932 0.918 0.958 head 0.918 0.011 0.933 0.918 0.926 0.954 shin 0.94 0.023 0.871 0.94 0.904 0.958 thigh 0.861 0.018 0.887 0.861 0.874 0.921 upperarm 0.918 0.014 0.915 0.918 0.917 0.952 waist Weighted Avg. 0.903 0.016 0.903 0.903 0.903 0.943 === Confusion Matrix === a b c d e f g <-- classified as 435 6 11 5 11 26 9 | a = chest 7 443 14 3 9 12 12 | b = forearm 2 10 467 2 2 9 9 | c = head 4 0 3 461 27 1 6 | d = shin 9 3 1 10 471 4 3 | e = thigh 26 13 12 7 8 432 4 | f = upperarm 3 8 8 6 13 3 461 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 3 FOLD: 0 Correctly Classified Instances 3155 89.8349 % Incorrectly Classified Instances 357 10.1651 % Kappa statistic 0.8814 Mean absolute error 0.029 Root mean squared error 0.1704 Relative absolute error 11.8593 % Root relative squared error 48.7018 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.881 0.02 0.881 0.881 0.881 0.93 chest 0.854 0.012 0.92 0.854 0.886 0.921 forearm 0.908 0.018 0.896 0.908 0.902 0.945 head 0.932 0.016 0.909 0.932 0.92 0.958 shin 0.942 0.018 0.898 0.942 0.919 0.962 thigh 0.853 0.018 0.888 0.853 0.87 0.917 upperarm 0.918 0.017 0.899 0.918 0.908 0.951 waist Weighted Avg. 0.898 0.017 0.898 0.898 0.898 0.941 === Confusion Matrix === a b c d e f g <-- classified as 443 9 11 4 11 16 9 | a = chest 12 427 14 11 8 11 17 | b = forearm 4 14 455 2 0 17 9 | c = head 4 1 1 468 20 2 6 | d = shin 7 1 0 16 473 1 4 | e = thigh 26 10 19 5 7 428 7 | f = upperarm 7 2 8 9 8 7 461 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3134 89.2369 % Incorrectly Classified Instances 378 10.7631 % Kappa statistic 0.8744 Mean absolute error 0.0308 Root mean squared error 0.1754 Relative absolute error 12.557 % Root relative squared error 50.1138 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.893 0.017 0.896 0.893 0.894 0.938 chest 0.856 0.014 0.909 0.856 0.882 0.921 forearm 0.92 0.021 0.878 0.92 0.899 0.949 head 0.9 0.01 0.936 0.9 0.918 0.945 shin 0.948 0.027 0.856 0.948 0.9 0.961 thigh 0.833 0.015 0.903 0.833 0.866 0.909 upperarm 0.896 0.021 0.877 0.896 0.887 0.938 waist Weighted Avg. 0.892 0.018 0.894 0.892 0.892 0.937 === Confusion Matrix === a b c d e f g <-- classified as 449 5 7 1 12 22 7 | a = chest 8 428 19 6 12 12 15 | b = forearm 7 13 461 3 2 3 12 | c = head 2 3 0 452 29 3 13 | d = shin 9 1 2 6 476 1 7 | e = thigh 23 12 22 8 10 418 9 | f = upperarm 3 9 14 7 15 4 450 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3142 89.4647 % Incorrectly Classified Instances 370 10.5353 % Kappa statistic 0.8771 Mean absolute error 0.0301 Root mean squared error 0.1735 Relative absolute error 12.2912 % Root relative squared error 49.5806 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.891 0.016 0.901 0.891 0.896 0.937 chest 0.858 0.01 0.933 0.858 0.894 0.924 forearm 0.936 0.023 0.872 0.936 0.903 0.957 head 0.9 0.012 0.928 0.9 0.914 0.944 shin 0.942 0.029 0.843 0.942 0.89 0.956 thigh 0.847 0.021 0.871 0.847 0.859 0.913 upperarm 0.888 0.012 0.927 0.888 0.907 0.938 waist Weighted Avg. 0.895 0.018 0.896 0.895 0.895 0.939 === Confusion Matrix === a b c d e f g <-- classified as 448 2 11 7 9 25 1 | a = chest 4 429 20 3 10 20 14 | b = forearm 4 9 469 5 1 5 8 | c = head 6 2 1 452 33 3 5 | d = shin 8 2 3 6 473 7 3 | e = thigh 21 9 23 6 14 425 4 | f = upperarm 6 7 11 8 21 3 446 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3167 90.1765 % Incorrectly Classified Instances 345 9.8235 % Kappa statistic 0.8854 Mean absolute error 0.0281 Root mean squared error 0.1675 Relative absolute error 11.4607 % Root relative squared error 47.8763 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.891 0.017 0.898 0.891 0.894 0.937 chest 0.868 0.012 0.923 0.868 0.895 0.928 forearm 0.922 0.013 0.92 0.922 0.921 0.954 head 0.922 0.011 0.933 0.922 0.928 0.956 shin 0.934 0.023 0.87 0.934 0.901 0.956 thigh 0.855 0.015 0.907 0.855 0.88 0.92 upperarm 0.92 0.024 0.867 0.92 0.893 0.948 waist Weighted Avg. 0.902 0.016 0.903 0.902 0.902 0.943 === Confusion Matrix === a b c d e f g <-- classified as 448 5 3 6 11 24 6 | a = chest 10 434 9 5 8 8 26 | b = forearm 5 14 462 1 0 9 10 | c = head 2 1 3 463 25 0 8 | d = shin 6 0 2 11 469 1 13 | e = thigh 27 9 14 2 13 429 8 | f = upperarm 1 7 9 8 13 2 462 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3169 90.2335 % Incorrectly Classified Instances 343 9.7665 % Kappa statistic 0.8861 Mean absolute error 0.0279 Root mean squared error 0.167 Relative absolute error 11.3943 % Root relative squared error 47.7373 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.887 0.023 0.866 0.887 0.876 0.932 chest 0.872 0.009 0.942 0.872 0.906 0.932 forearm 0.936 0.019 0.893 0.936 0.914 0.959 head 0.92 0.008 0.953 0.92 0.936 0.956 shin 0.962 0.022 0.878 0.962 0.918 0.97 thigh 0.819 0.017 0.89 0.819 0.853 0.901 upperarm 0.92 0.017 0.902 0.92 0.911 0.952 waist Weighted Avg. 0.902 0.016 0.903 0.902 0.902 0.943 === Confusion Matrix === a b c d e f g <-- classified as 446 8 7 3 11 22 6 | a = chest 6 436 18 2 8 10 20 | b = forearm 4 9 469 0 0 14 5 | c = head 4 0 1 462 28 1 6 | d = shin 5 1 2 6 483 1 4 | e = thigh 44 6 16 7 9 411 9 | f = upperarm 6 3 12 5 11 3 462 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3156 89.8633 % Incorrectly Classified Instances 356 10.1367 % Kappa statistic 0.8817 Mean absolute error 0.029 Root mean squared error 0.1702 Relative absolute error 11.8261 % Root relative squared error 48.6336 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.903 0.02 0.883 0.903 0.893 0.941 chest 0.886 0.017 0.899 0.886 0.892 0.935 forearm 0.918 0.018 0.895 0.918 0.906 0.95 head 0.932 0.013 0.925 0.932 0.929 0.96 shin 0.926 0.023 0.872 0.926 0.899 0.952 thigh 0.821 0.016 0.898 0.821 0.857 0.903 upperarm 0.904 0.013 0.921 0.904 0.913 0.946 waist Weighted Avg. 0.899 0.017 0.899 0.899 0.898 0.941 === Confusion Matrix === a b c d e f g <-- classified as 454 7 4 3 9 19 7 | a = chest 7 443 18 5 4 12 11 | b = forearm 4 15 460 2 0 10 10 | c = head 1 1 3 468 25 2 2 | d = shin 14 1 0 14 465 3 5 | e = thigh 28 16 22 9 11 412 4 | f = upperarm 6 10 7 5 19 1 454 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3163 90.0626 % Incorrectly Classified Instances 349 9.9374 % Kappa statistic 0.8841 Mean absolute error 0.0284 Root mean squared error 0.1685 Relative absolute error 11.5936 % Root relative squared error 48.1531 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.918 0.018 0.894 0.918 0.906 0.95 chest 0.844 0.015 0.902 0.844 0.872 0.914 forearm 0.938 0.018 0.899 0.938 0.918 0.96 head 0.946 0.011 0.933 0.946 0.94 0.967 shin 0.922 0.021 0.882 0.922 0.901 0.951 thigh 0.831 0.016 0.895 0.831 0.862 0.907 upperarm 0.904 0.017 0.901 0.904 0.903 0.944 waist Weighted Avg. 0.901 0.017 0.901 0.901 0.9 0.942 === Confusion Matrix === a b c d e f g <-- classified as 462 5 3 5 7 18 3 | a = chest 8 422 16 3 12 18 21 | b = forearm 2 10 470 2 1 7 9 | c = head 2 2 0 475 19 2 2 | d = shin 13 7 2 9 462 1 7 | e = thigh 25 12 21 7 12 418 8 | f = upperarm 5 10 11 8 11 3 454 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3163 90.0626 % Incorrectly Classified Instances 349 9.9374 % Kappa statistic 0.8841 Mean absolute error 0.0284 Root mean squared error 0.1685 Relative absolute error 11.5936 % Root relative squared error 48.1531 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.936 0.019 0.894 0.936 0.915 0.959 chest 0.846 0.014 0.912 0.846 0.878 0.916 forearm 0.924 0.015 0.913 0.924 0.919 0.955 head 0.916 0.016 0.904 0.916 0.91 0.95 shin 0.932 0.02 0.888 0.932 0.909 0.956 thigh 0.827 0.012 0.92 0.827 0.871 0.907 upperarm 0.922 0.021 0.879 0.922 0.9 0.951 waist Weighted Avg. 0.901 0.017 0.901 0.901 0.9 0.942 === Confusion Matrix === a b c d e f g <-- classified as 471 7 1 4 7 10 3 | a = chest 8 424 21 5 5 14 24 | b = forearm 2 12 463 4 2 8 10 | c = head 2 4 2 460 27 1 6 | d = shin 7 0 2 15 467 1 9 | e = thigh 30 12 14 9 10 415 12 | f = upperarm 7 6 4 12 8 2 463 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3173 90.3474 % Incorrectly Classified Instances 339 9.6526 % Kappa statistic 0.8874 Mean absolute error 0.0276 Root mean squared error 0.1661 Relative absolute error 11.2614 % Root relative squared error 47.4582 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.897 0.018 0.892 0.897 0.894 0.939 chest 0.868 0.012 0.925 0.868 0.896 0.928 forearm 0.94 0.022 0.876 0.94 0.907 0.959 head 0.956 0.016 0.909 0.956 0.932 0.97 shin 0.92 0.018 0.895 0.92 0.907 0.951 thigh 0.849 0.013 0.914 0.849 0.88 0.918 upperarm 0.894 0.013 0.918 0.894 0.906 0.941 waist Weighted Avg. 0.903 0.016 0.904 0.903 0.903 0.944 === Confusion Matrix === a b c d e f g <-- classified as 452 10 12 6 6 14 4 | a = chest 7 434 19 9 10 8 13 | b = forearm 1 5 472 3 1 14 6 | c = head 5 1 3 479 10 0 3 | d = shin 13 0 5 13 461 0 9 | e = thigh 26 10 14 10 11 426 5 | f = upperarm 3 9 14 7 16 4 449 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3163 90.0883 % Incorrectly Classified Instances 348 9.9117 % Kappa statistic 0.8844 Mean absolute error 0.0283 Root mean squared error 0.1683 Relative absolute error 11.5637 % Root relative squared error 48.0909 % Total Number of Instances 3511 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.911 0.014 0.916 0.911 0.913 0.948 chest 0.87 0.015 0.906 0.87 0.888 0.928 forearm 0.916 0.017 0.898 0.916 0.907 0.95 head 0.926 0.014 0.915 0.926 0.921 0.956 shin 0.926 0.024 0.864 0.926 0.894 0.951 thigh 0.876 0.015 0.909 0.876 0.892 0.931 upperarm 0.88 0.016 0.9 0.88 0.89 0.932 waist Weighted Avg. 0.901 0.017 0.901 0.901 0.901 0.942 === Confusion Matrix === a b c d e f g <-- classified as 458 6 6 4 7 16 6 | a = chest 7 435 16 4 12 10 16 | b = forearm 0 17 460 2 2 10 11 | c = head 3 3 5 464 19 4 3 | d = shin 9 0 1 17 465 2 8 | e = thigh 17 4 16 6 14 440 5 | f = upperarm 6 15 8 10 19 2 441 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 4 FOLD: 0 Correctly Classified Instances 3154 89.8064 % Incorrectly Classified Instances 358 10.1936 % Kappa statistic 0.8811 Mean absolute error 0.0291 Root mean squared error 0.1707 Relative absolute error 11.8926 % Root relative squared error 48.77 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.875 0.022 0.871 0.875 0.873 0.927 chest 0.866 0.01 0.933 0.866 0.898 0.928 forearm 0.926 0.021 0.881 0.926 0.903 0.953 head 0.924 0.011 0.932 0.924 0.928 0.956 shin 0.944 0.022 0.876 0.944 0.909 0.961 thigh 0.851 0.017 0.894 0.851 0.872 0.917 upperarm 0.9 0.016 0.906 0.9 0.903 0.942 waist Weighted Avg. 0.898 0.017 0.899 0.898 0.898 0.941 === Confusion Matrix === a b c d e f g <-- classified as 440 6 9 7 12 20 9 | a = chest 6 433 26 3 4 15 13 | b = forearm 5 12 465 1 1 8 10 | c = head 6 0 2 463 23 1 6 | d = shin 12 0 1 8 473 2 5 | e = thigh 30 5 18 7 11 428 4 | f = upperarm 6 8 7 8 16 5 452 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3157 89.8918 % Incorrectly Classified Instances 355 10.1082 % Kappa statistic 0.8821 Mean absolute error 0.0289 Root mean squared error 0.1699 Relative absolute error 11.7929 % Root relative squared error 48.5652 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.891 0.017 0.896 0.891 0.894 0.937 chest 0.866 0.018 0.889 0.866 0.878 0.924 forearm 0.924 0.014 0.915 0.924 0.92 0.955 head 0.914 0.01 0.937 0.914 0.925 0.952 shin 0.948 0.025 0.865 0.948 0.905 0.962 thigh 0.849 0.017 0.893 0.849 0.87 0.916 upperarm 0.9 0.017 0.9 0.9 0.9 0.942 waist Weighted Avg. 0.899 0.017 0.899 0.899 0.899 0.941 === Confusion Matrix === a b c d e f g <-- classified as 449 14 7 5 6 20 3 | a = chest 10 434 10 5 13 11 18 | b = forearm 2 12 464 3 1 13 7 | c = head 3 4 3 458 24 2 7 | d = shin 5 3 2 6 475 0 10 | e = thigh 28 14 11 3 15 426 5 | f = upperarm 4 7 10 9 15 5 451 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3166 90.1481 % Incorrectly Classified Instances 346 9.8519 % Kappa statistic 0.8851 Mean absolute error 0.0281 Root mean squared error 0.1678 Relative absolute error 11.4939 % Root relative squared error 47.9457 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.895 0.017 0.898 0.895 0.896 0.939 chest 0.884 0.014 0.913 0.884 0.898 0.935 forearm 0.932 0.018 0.896 0.932 0.914 0.957 head 0.908 0.014 0.916 0.908 0.912 0.947 shin 0.918 0.019 0.892 0.918 0.905 0.95 thigh 0.855 0.016 0.899 0.855 0.876 0.919 upperarm 0.918 0.018 0.897 0.918 0.907 0.95 waist Weighted Avg. 0.901 0.016 0.902 0.901 0.901 0.943 === Confusion Matrix === a b c d e f g <-- classified as 450 9 9 6 7 17 5 | a = chest 11 442 12 6 4 11 14 | b = forearm 3 9 467 1 2 12 7 | c = head 2 3 1 456 26 3 11 | d = shin 10 1 2 18 461 1 9 | e = thigh 25 11 22 3 5 429 7 | f = upperarm 0 9 8 8 12 4 461 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3126 89.0091 % Incorrectly Classified Instances 386 10.9909 % Kappa statistic 0.8718 Mean absolute error 0.0314 Root mean squared error 0.1772 Relative absolute error 12.8227 % Root relative squared error 50.6413 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.891 0.02 0.884 0.891 0.887 0.936 chest 0.846 0.015 0.906 0.846 0.875 0.916 forearm 0.904 0.019 0.888 0.904 0.896 0.943 head 0.912 0.008 0.948 0.912 0.93 0.952 shin 0.948 0.025 0.865 0.948 0.905 0.962 thigh 0.847 0.024 0.855 0.847 0.851 0.911 upperarm 0.882 0.018 0.89 0.882 0.886 0.932 waist Weighted Avg. 0.89 0.018 0.891 0.89 0.89 0.936 === Confusion Matrix === a b c d e f g <-- classified as 448 5 7 4 11 23 5 | a = chest 1 423 21 1 12 22 20 | b = forearm 6 10 453 3 1 16 12 | c = head 5 4 1 458 22 4 8 | d = shin 10 1 2 6 476 2 5 | e = thigh 30 12 16 6 8 425 5 | f = upperarm 7 12 10 5 20 5 443 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3172 90.3189 % Incorrectly Classified Instances 340 9.6811 % Kappa statistic 0.8871 Mean absolute error 0.0277 Root mean squared error 0.1663 Relative absolute error 11.2946 % Root relative squared error 47.5281 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.911 0.016 0.907 0.911 0.909 0.947 chest 0.884 0.014 0.913 0.884 0.898 0.935 forearm 0.928 0.02 0.887 0.928 0.907 0.954 head 0.936 0.013 0.922 0.936 0.929 0.961 shin 0.944 0.023 0.871 0.944 0.906 0.96 thigh 0.815 0.015 0.903 0.815 0.857 0.9 upperarm 0.904 0.013 0.923 0.904 0.913 0.946 waist Weighted Avg. 0.903 0.016 0.904 0.903 0.903 0.944 === Confusion Matrix === a b c d e f g <-- classified as 458 5 7 5 11 16 1 | a = chest 5 442 17 2 9 10 15 | b = forearm 3 13 465 4 0 9 7 | c = head 1 0 2 470 23 1 5 | d = shin 7 2 1 10 474 4 4 | e = thigh 26 14 22 13 12 409 6 | f = upperarm 5 8 10 6 15 4 454 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3196 91.0023 % Incorrectly Classified Instances 316 8.9977 % Kappa statistic 0.895 Mean absolute error 0.0257 Root mean squared error 0.1603 Relative absolute error 10.4973 % Root relative squared error 45.82 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.911 0.015 0.911 0.911 0.911 0.948 chest 0.868 0.016 0.902 0.868 0.885 0.926 forearm 0.928 0.016 0.908 0.928 0.918 0.956 head 0.944 0.014 0.917 0.944 0.93 0.965 shin 0.938 0.019 0.894 0.938 0.915 0.96 thigh 0.873 0.015 0.909 0.873 0.89 0.929 upperarm 0.908 0.011 0.931 0.908 0.919 0.949 waist Weighted Avg. 0.91 0.015 0.91 0.91 0.91 0.948 === Confusion Matrix === a b c d e f g <-- classified as 458 8 4 1 10 18 4 | a = chest 11 434 19 9 7 9 11 | b = forearm 4 17 465 2 1 5 7 | c = head 1 1 1 474 20 4 1 | d = shin 12 0 1 8 471 4 6 | e = thigh 12 15 14 10 8 438 5 | f = upperarm 5 6 8 13 10 4 456 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3150 89.6925 % Incorrectly Classified Instances 362 10.3075 % Kappa statistic 0.8797 Mean absolute error 0.0295 Root mean squared error 0.1716 Relative absolute error 12.0254 % Root relative squared error 49.0417 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.918 0.018 0.897 0.918 0.908 0.95 chest 0.858 0.014 0.909 0.858 0.883 0.922 forearm 0.932 0.019 0.893 0.932 0.912 0.957 head 0.92 0.009 0.947 0.92 0.933 0.956 shin 0.918 0.024 0.863 0.918 0.89 0.947 thigh 0.821 0.021 0.867 0.821 0.843 0.9 upperarm 0.91 0.016 0.905 0.91 0.908 0.947 waist Weighted Avg. 0.897 0.017 0.897 0.897 0.897 0.94 === Confusion Matrix === a b c d e f g <-- classified as 462 6 2 3 5 21 4 | a = chest 4 429 16 6 8 21 16 | b = forearm 1 12 467 0 1 12 8 | c = head 1 1 5 462 25 4 4 | d = shin 10 3 4 10 461 2 12 | e = thigh 31 17 17 3 18 412 4 | f = upperarm 6 4 12 4 16 3 457 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3154 89.8064 % Incorrectly Classified Instances 358 10.1936 % Kappa statistic 0.8811 Mean absolute error 0.0291 Root mean squared error 0.1707 Relative absolute error 11.8926 % Root relative squared error 48.77 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.877 0.022 0.87 0.877 0.873 0.927 chest 0.848 0.014 0.91 0.848 0.878 0.917 forearm 0.91 0.018 0.894 0.91 0.902 0.946 head 0.93 0.01 0.94 0.93 0.935 0.96 shin 0.944 0.02 0.888 0.944 0.915 0.962 thigh 0.859 0.018 0.889 0.859 0.873 0.92 upperarm 0.918 0.017 0.899 0.918 0.908 0.951 waist Weighted Avg. 0.898 0.017 0.898 0.898 0.898 0.941 === Confusion Matrix === a b c d e f g <-- classified as 441 8 6 4 8 27 9 | a = chest 7 424 19 6 15 12 17 | b = forearm 7 15 456 3 1 11 8 | c = head 8 1 2 467 18 2 4 | d = shin 10 1 1 9 474 1 6 | e = thigh 32 7 14 3 7 431 8 | f = upperarm 2 10 12 5 11 1 461 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3179 90.5182 % Incorrectly Classified Instances 333 9.4818 % Kappa statistic 0.8894 Mean absolute error 0.0271 Root mean squared error 0.1646 Relative absolute error 11.0621 % Root relative squared error 47.0363 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.917 0.018 0.893 0.917 0.905 0.949 chest 0.876 0.011 0.932 0.876 0.903 0.933 forearm 0.922 0.015 0.913 0.922 0.918 0.954 head 0.928 0.017 0.901 0.928 0.915 0.956 shin 0.91 0.021 0.881 0.91 0.895 0.945 thigh 0.859 0.015 0.905 0.859 0.881 0.922 upperarm 0.924 0.015 0.913 0.924 0.919 0.955 waist Weighted Avg. 0.905 0.016 0.906 0.905 0.905 0.945 === Confusion Matrix === a b c d e f g <-- classified as 461 7 5 3 9 15 3 | a = chest 8 438 12 7 6 15 14 | b = forearm 3 12 462 5 3 8 8 | c = head 3 0 1 466 26 2 4 | d = shin 9 1 3 21 457 3 8 | e = thigh 27 6 15 10 6 431 7 | f = upperarm 5 6 8 5 12 2 464 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3145 89.5756 % Incorrectly Classified Instances 366 10.4244 % Kappa statistic 0.8784 Mean absolute error 0.0298 Root mean squared error 0.1726 Relative absolute error 12.1618 % Root relative squared error 49.3189 % Total Number of Instances 3511 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.92 0.017 0.901 0.92 0.911 0.952 chest 0.856 0.013 0.915 0.856 0.884 0.921 forearm 0.92 0.018 0.895 0.92 0.907 0.951 head 0.928 0.015 0.91 0.928 0.919 0.956 shin 0.938 0.024 0.867 0.938 0.901 0.957 thigh 0.815 0.015 0.903 0.815 0.857 0.9 upperarm 0.892 0.02 0.884 0.892 0.888 0.936 waist Weighted Avg. 0.896 0.017 0.896 0.896 0.895 0.939 === Confusion Matrix === a b c d e f g <-- classified as 463 8 5 3 9 13 2 | a = chest 10 428 15 3 8 10 26 | b = forearm 4 11 461 2 0 10 13 | c = head 1 1 2 466 26 1 5 | d = shin 5 2 1 16 470 3 4 | e = thigh 24 11 24 12 13 409 9 | f = upperarm 7 7 7 10 16 7 448 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 5 FOLD: 0 Correctly Classified Instances 3170 90.262 % Incorrectly Classified Instances 342 9.738 % Kappa statistic 0.8864 Mean absolute error 0.0278 Root mean squared error 0.1668 Relative absolute error 11.3611 % Root relative squared error 47.6677 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.922 0.02 0.885 0.922 0.904 0.951 chest 0.858 0.015 0.903 0.858 0.88 0.922 forearm 0.942 0.014 0.917 0.942 0.929 0.964 head 0.93 0.012 0.93 0.93 0.93 0.959 shin 0.926 0.02 0.884 0.926 0.904 0.953 thigh 0.833 0.014 0.909 0.833 0.869 0.91 upperarm 0.906 0.018 0.892 0.906 0.899 0.944 waist Weighted Avg. 0.903 0.016 0.903 0.903 0.902 0.943 === Confusion Matrix === a b c d e f g <-- classified as 464 5 2 2 8 17 5 | a = chest 7 430 16 7 8 9 24 | b = forearm 6 7 472 0 0 8 8 | c = head 7 0 2 466 19 2 5 | d = shin 14 1 1 11 464 5 5 | e = thigh 21 22 15 8 10 419 8 | f = upperarm 5 11 7 7 16 1 455 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3150 89.6925 % Incorrectly Classified Instances 362 10.3075 % Kappa statistic 0.8797 Mean absolute error 0.0295 Root mean squared error 0.1716 Relative absolute error 12.0254 % Root relative squared error 49.0417 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.895 0.019 0.888 0.895 0.891 0.938 chest 0.866 0.013 0.917 0.866 0.891 0.927 forearm 0.934 0.017 0.903 0.934 0.919 0.959 head 0.926 0.012 0.926 0.926 0.926 0.957 shin 0.952 0.025 0.866 0.952 0.907 0.964 thigh 0.803 0.017 0.888 0.803 0.843 0.893 upperarm 0.902 0.018 0.893 0.902 0.898 0.942 waist Weighted Avg. 0.897 0.017 0.897 0.897 0.896 0.94 === Confusion Matrix === a b c d e f g <-- classified as 450 7 7 6 11 17 5 | a = chest 7 433 12 6 5 15 22 | b = forearm 3 8 468 1 0 12 9 | c = head 2 0 0 465 26 5 4 | d = shin 5 1 1 10 478 2 5 | e = thigh 36 17 21 7 9 403 9 | f = upperarm 4 6 9 7 23 0 453 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3175 90.4043 % Incorrectly Classified Instances 337 9.5957 % Kappa statistic 0.888 Mean absolute error 0.0274 Root mean squared error 0.1656 Relative absolute error 11.195 % Root relative squared error 47.318 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.901 0.016 0.904 0.901 0.902 0.942 chest 0.868 0.011 0.929 0.868 0.898 0.929 forearm 0.94 0.017 0.904 0.94 0.922 0.962 head 0.912 0.01 0.937 0.912 0.924 0.951 shin 0.92 0.025 0.86 0.92 0.889 0.948 thigh 0.878 0.014 0.915 0.878 0.896 0.932 upperarm 0.908 0.02 0.885 0.908 0.897 0.944 waist Weighted Avg. 0.904 0.016 0.905 0.904 0.904 0.944 === Confusion Matrix === a b c d e f g <-- classified as 453 6 8 4 11 15 6 | a = chest 6 434 14 3 10 9 24 | b = forearm 2 10 471 1 1 10 6 | c = head 3 3 0 458 33 1 4 | d = shin 11 0 2 11 462 2 14 | e = thigh 22 6 12 6 10 441 5 | f = upperarm 4 8 14 6 10 4 456 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3141 89.4362 % Incorrectly Classified Instances 371 10.5638 % Kappa statistic 0.8768 Mean absolute error 0.0302 Root mean squared error 0.1737 Relative absolute error 12.3244 % Root relative squared error 49.6476 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.883 0.02 0.881 0.883 0.882 0.931 chest 0.872 0.011 0.932 0.872 0.901 0.931 forearm 0.928 0.019 0.889 0.928 0.908 0.954 head 0.906 0.019 0.889 0.906 0.897 0.944 shin 0.922 0.022 0.877 0.922 0.899 0.95 thigh 0.821 0.017 0.89 0.821 0.854 0.902 upperarm 0.928 0.016 0.907 0.928 0.917 0.956 waist Weighted Avg. 0.894 0.018 0.895 0.894 0.894 0.938 === Confusion Matrix === a b c d e f g <-- classified as 444 4 8 10 8 24 5 | a = chest 8 436 20 6 10 10 10 | b = forearm 4 9 465 2 1 10 10 | c = head 4 4 3 455 23 2 11 | d = shin 9 3 2 20 463 1 4 | e = thigh 32 9 15 14 12 412 8 | f = upperarm 3 3 10 5 11 4 466 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3167 90.1765 % Incorrectly Classified Instances 345 9.8235 % Kappa statistic 0.8854 Mean absolute error 0.0281 Root mean squared error 0.1675 Relative absolute error 11.4607 % Root relative squared error 47.8763 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.917 0.017 0.899 0.917 0.907 0.95 chest 0.864 0.013 0.919 0.864 0.891 0.926 forearm 0.912 0.015 0.91 0.912 0.911 0.949 head 0.912 0.012 0.927 0.912 0.92 0.95 shin 0.938 0.021 0.884 0.938 0.91 0.959 thigh 0.871 0.019 0.886 0.871 0.878 0.926 upperarm 0.898 0.019 0.89 0.898 0.894 0.94 waist Weighted Avg. 0.902 0.016 0.902 0.902 0.902 0.943 === Confusion Matrix === a b c d e f g <-- classified as 461 6 3 3 4 22 4 | a = chest 7 432 15 3 6 14 23 | b = forearm 4 17 457 3 2 11 7 | c = head 3 0 2 458 29 1 9 | d = shin 8 1 1 9 471 4 8 | e = thigh 20 6 16 8 10 437 5 | f = upperarm 10 8 8 10 11 4 451 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3156 89.8633 % Incorrectly Classified Instances 356 10.1367 % Kappa statistic 0.8817 Mean absolute error 0.029 Root mean squared error 0.1702 Relative absolute error 11.8261 % Root relative squared error 48.6336 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.889 0.021 0.876 0.889 0.883 0.934 chest 0.866 0.013 0.915 0.866 0.89 0.926 forearm 0.898 0.016 0.902 0.898 0.9 0.941 head 0.93 0.011 0.932 0.93 0.931 0.959 shin 0.942 0.02 0.887 0.942 0.914 0.961 thigh 0.867 0.018 0.888 0.867 0.877 0.924 upperarm 0.898 0.018 0.891 0.898 0.895 0.94 waist Weighted Avg. 0.899 0.017 0.899 0.899 0.899 0.941 === Confusion Matrix === a b c d e f g <-- classified as 447 7 6 8 11 19 5 | a = chest 10 433 11 6 6 18 16 | b = forearm 8 13 450 3 0 13 14 | c = head 4 1 3 467 21 1 5 | d = shin 11 3 1 5 473 1 8 | e = thigh 24 9 19 3 5 435 7 | f = upperarm 6 7 9 9 17 3 451 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3164 90.0911 % Incorrectly Classified Instances 348 9.9089 % Kappa statistic 0.8844 Mean absolute error 0.0283 Root mean squared error 0.1683 Relative absolute error 11.5604 % Root relative squared error 48.084 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.895 0.017 0.9 0.895 0.897 0.939 chest 0.866 0.016 0.902 0.866 0.884 0.925 forearm 0.932 0.017 0.903 0.932 0.917 0.958 head 0.928 0.01 0.938 0.928 0.933 0.959 shin 0.938 0.026 0.859 0.938 0.897 0.956 thigh 0.841 0.014 0.911 0.841 0.875 0.914 upperarm 0.906 0.017 0.897 0.906 0.902 0.945 waist Weighted Avg. 0.901 0.017 0.902 0.901 0.901 0.942 === Confusion Matrix === a b c d e f g <-- classified as 450 12 4 6 13 15 3 | a = chest 6 433 23 0 14 9 15 | b = forearm 1 11 467 3 2 11 6 | c = head 3 2 1 466 20 1 9 | d = shin 8 1 1 9 471 2 10 | e = thigh 28 13 14 3 13 422 9 | f = upperarm 4 8 7 10 15 3 455 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3151 89.721 % Incorrectly Classified Instances 361 10.279 % Kappa statistic 0.8801 Mean absolute error 0.0294 Root mean squared error 0.1714 Relative absolute error 11.9922 % Root relative squared error 48.9739 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.885 0.018 0.89 0.885 0.887 0.933 chest 0.88 0.014 0.911 0.88 0.895 0.933 forearm 0.904 0.019 0.888 0.904 0.896 0.943 head 0.944 0.011 0.933 0.944 0.939 0.966 shin 0.944 0.019 0.891 0.944 0.917 0.962 thigh 0.819 0.018 0.884 0.819 0.85 0.9 upperarm 0.904 0.02 0.883 0.904 0.894 0.942 waist Weighted Avg. 0.897 0.017 0.897 0.897 0.897 0.94 === Confusion Matrix === a b c d e f g <-- classified as 445 7 10 2 7 23 9 | a = chest 9 440 12 4 6 14 15 | b = forearm 4 16 453 4 0 9 15 | c = head 2 1 3 474 14 1 7 | d = shin 4 2 2 10 474 2 8 | e = thigh 28 11 22 10 14 411 6 | f = upperarm 8 6 8 4 17 5 454 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3170 90.262 % Incorrectly Classified Instances 342 9.738 % Kappa statistic 0.8864 Mean absolute error 0.0278 Root mean squared error 0.1668 Relative absolute error 11.3611 % Root relative squared error 47.6677 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.928 0.018 0.896 0.928 0.912 0.955 chest 0.844 0.013 0.915 0.844 0.878 0.916 forearm 0.936 0.022 0.877 0.936 0.906 0.957 head 0.94 0.014 0.918 0.94 0.929 0.963 shin 0.93 0.019 0.893 0.93 0.911 0.956 thigh 0.819 0.012 0.922 0.819 0.867 0.904 upperarm 0.92 0.017 0.902 0.92 0.911 0.952 waist Weighted Avg. 0.903 0.016 0.903 0.903 0.902 0.943 === Confusion Matrix === a b c d e f g <-- classified as 467 6 5 1 9 12 3 | a = chest 5 422 25 6 8 15 19 | b = forearm 4 8 470 4 1 3 12 | c = head 2 0 6 472 18 1 3 | d = shin 9 0 5 15 466 0 6 | e = thigh 30 17 17 9 11 411 7 | f = upperarm 4 8 8 7 9 4 462 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3154 89.832 % Incorrectly Classified Instances 357 10.168 % Kappa statistic 0.8814 Mean absolute error 0.0291 Root mean squared error 0.1704 Relative absolute error 11.8627 % Root relative squared error 48.7088 % Total Number of Instances 3511 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.909 0.02 0.882 0.909 0.895 0.944 chest 0.854 0.016 0.901 0.854 0.877 0.919 forearm 0.914 0.019 0.891 0.914 0.903 0.948 head 0.912 0.009 0.942 0.912 0.927 0.951 shin 0.932 0.021 0.879 0.932 0.905 0.955 thigh 0.849 0.016 0.897 0.849 0.872 0.916 upperarm 0.918 0.017 0.898 0.918 0.908 0.95 waist Weighted Avg. 0.898 0.017 0.899 0.898 0.898 0.941 === Confusion Matrix === a b c d e f g <-- classified as 458 6 4 1 7 22 6 | a = chest 11 427 16 5 9 13 19 | b = forearm 4 18 459 1 1 10 9 | c = head 3 1 3 457 29 0 8 | d = shin 13 2 2 11 467 1 5 | e = thigh 30 10 19 2 10 426 5 | f = upperarm 0 10 12 8 8 3 460 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 6 FOLD: 0 Correctly Classified Instances 3156 89.8633 % Incorrectly Classified Instances 356 10.1367 % Kappa statistic 0.8817 Mean absolute error 0.029 Root mean squared error 0.1702 Relative absolute error 11.8261 % Root relative squared error 48.6336 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.893 0.017 0.9 0.893 0.896 0.938 chest 0.878 0.012 0.924 0.878 0.901 0.933 forearm 0.928 0.022 0.878 0.928 0.902 0.953 head 0.916 0.012 0.927 0.916 0.922 0.952 shin 0.94 0.024 0.866 0.94 0.901 0.958 thigh 0.839 0.013 0.915 0.839 0.876 0.913 upperarm 0.896 0.019 0.888 0.896 0.892 0.939 waist Weighted Avg. 0.899 0.017 0.9 0.899 0.898 0.941 === Confusion Matrix === a b c d e f g <-- classified as 449 10 15 5 6 15 3 | a = chest 9 439 12 5 9 8 18 | b = forearm 3 9 466 2 0 9 13 | c = head 2 2 2 459 31 1 4 | d = shin 6 1 2 12 471 1 8 | e = thigh 27 7 17 8 11 422 11 | f = upperarm 3 7 17 4 16 5 450 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3151 89.721 % Incorrectly Classified Instances 361 10.279 % Kappa statistic 0.8801 Mean absolute error 0.0294 Root mean squared error 0.1714 Relative absolute error 11.9922 % Root relative squared error 48.9739 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.903 0.019 0.89 0.903 0.896 0.942 chest 0.868 0.016 0.902 0.868 0.885 0.926 forearm 0.91 0.019 0.891 0.91 0.9 0.946 head 0.92 0.011 0.931 0.92 0.926 0.955 shin 0.948 0.02 0.886 0.948 0.916 0.964 thigh 0.833 0.018 0.887 0.833 0.859 0.908 upperarm 0.898 0.018 0.893 0.898 0.896 0.94 waist Weighted Avg. 0.897 0.017 0.897 0.897 0.897 0.94 === Confusion Matrix === a b c d e f g <-- classified as 454 6 6 4 8 18 7 | a = chest 10 434 16 0 8 18 14 | b = forearm 6 15 457 3 2 11 8 | c = head 2 3 3 462 27 0 5 | d = shin 5 1 1 10 475 3 6 | e = thigh 26 13 16 8 7 418 14 | f = upperarm 7 9 14 9 9 3 451 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3180 90.5467 % Incorrectly Classified Instances 332 9.4533 % Kappa statistic 0.8897 Mean absolute error 0.027 Root mean squared error 0.1643 Relative absolute error 11.0289 % Root relative squared error 46.9656 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.881 0.018 0.892 0.881 0.886 0.932 chest 0.87 0.01 0.936 0.87 0.902 0.93 forearm 0.946 0.02 0.886 0.946 0.915 0.963 head 0.93 0.011 0.936 0.93 0.933 0.96 shin 0.94 0.019 0.89 0.94 0.915 0.96 thigh 0.845 0.016 0.896 0.845 0.87 0.914 upperarm 0.926 0.016 0.906 0.926 0.916 0.955 waist Weighted Avg. 0.905 0.016 0.906 0.905 0.905 0.945 === Confusion Matrix === a b c d e f g <-- classified as 444 6 4 4 9 29 8 | a = chest 10 436 19 4 10 8 14 | b = forearm 2 8 474 3 0 8 6 | c = head 5 1 1 467 17 0 11 | d = shin 9 0 3 9 471 3 6 | e = thigh 26 9 24 5 11 424 3 | f = upperarm 2 6 10 7 11 1 464 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3184 90.6606 % Incorrectly Classified Instances 328 9.3394 % Kappa statistic 0.891 Mean absolute error 0.0267 Root mean squared error 0.1634 Relative absolute error 10.896 % Root relative squared error 46.6819 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.915 0.026 0.857 0.915 0.885 0.944 chest 0.88 0.008 0.946 0.88 0.912 0.936 forearm 0.942 0.016 0.906 0.942 0.924 0.963 head 0.932 0.012 0.929 0.932 0.93 0.96 shin 0.924 0.019 0.889 0.924 0.906 0.953 thigh 0.847 0.013 0.916 0.847 0.88 0.917 upperarm 0.906 0.015 0.912 0.906 0.909 0.946 waist Weighted Avg. 0.907 0.016 0.908 0.907 0.907 0.946 === Confusion Matrix === a b c d e f g <-- classified as 460 3 4 8 5 21 2 | a = chest 7 440 17 5 8 5 18 | b = forearm 5 8 472 0 1 6 9 | c = head 6 1 2 468 18 2 5 | d = shin 16 1 1 13 464 3 4 | e = thigh 35 5 13 7 11 425 6 | f = upperarm 8 7 12 3 15 2 455 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3146 89.5786 % Incorrectly Classified Instances 366 10.4214 % Kappa statistic 0.8784 Mean absolute error 0.0298 Root mean squared error 0.1726 Relative absolute error 12.1583 % Root relative squared error 49.3119 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.899 0.018 0.895 0.899 0.897 0.94 chest 0.848 0.011 0.926 0.848 0.885 0.918 forearm 0.934 0.018 0.898 0.934 0.916 0.958 head 0.92 0.013 0.922 0.92 0.921 0.954 shin 0.946 0.023 0.872 0.946 0.907 0.961 thigh 0.825 0.019 0.877 0.825 0.85 0.903 upperarm 0.898 0.02 0.884 0.898 0.891 0.939 waist Weighted Avg. 0.896 0.017 0.896 0.896 0.895 0.939 === Confusion Matrix === a b c d e f g <-- classified as 452 4 4 4 10 22 7 | a = chest 8 424 15 4 11 18 20 | b = forearm 2 8 468 2 0 13 8 | c = head 4 1 1 462 25 2 7 | d = shin 6 1 0 11 475 1 8 | e = thigh 29 8 24 10 8 414 9 | f = upperarm 4 12 9 8 16 2 451 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3180 90.5467 % Incorrectly Classified Instances 332 9.4533 % Kappa statistic 0.8897 Mean absolute error 0.027 Root mean squared error 0.1643 Relative absolute error 11.0289 % Root relative squared error 46.9656 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.899 0.014 0.915 0.899 0.907 0.942 chest 0.878 0.015 0.909 0.878 0.893 0.932 forearm 0.936 0.02 0.888 0.936 0.912 0.958 head 0.92 0.014 0.918 0.92 0.919 0.953 shin 0.94 0.023 0.872 0.94 0.905 0.959 thigh 0.847 0.012 0.922 0.847 0.883 0.917 upperarm 0.918 0.014 0.918 0.918 0.918 0.952 waist Weighted Avg. 0.905 0.016 0.906 0.905 0.905 0.945 === Confusion Matrix === a b c d e f g <-- classified as 452 13 8 2 10 14 4 | a = chest 5 439 16 9 9 8 14 | b = forearm 1 12 469 2 0 9 8 | c = head 2 3 3 462 26 1 5 | d = shin 10 1 1 12 472 0 6 | e = thigh 19 11 25 6 12 425 4 | f = upperarm 5 4 6 10 12 4 461 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3160 89.9772 % Incorrectly Classified Instances 352 10.0228 % Kappa statistic 0.8831 Mean absolute error 0.0286 Root mean squared error 0.1692 Relative absolute error 11.6932 % Root relative squared error 48.3596 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.909 0.021 0.881 0.909 0.894 0.944 chest 0.852 0.016 0.901 0.852 0.876 0.918 forearm 0.924 0.021 0.88 0.924 0.902 0.952 head 0.944 0.014 0.917 0.944 0.93 0.965 shin 0.932 0.018 0.895 0.932 0.913 0.957 thigh 0.829 0.013 0.916 0.829 0.87 0.908 upperarm 0.908 0.015 0.912 0.908 0.91 0.947 waist Weighted Avg. 0.9 0.017 0.9 0.9 0.899 0.942 === Confusion Matrix === a b c d e f g <-- classified as 457 7 8 3 9 16 3 | a = chest 13 426 21 4 5 12 19 | b = forearm 1 16 463 4 1 7 9 | c = head 4 2 2 474 17 1 2 | d = shin 10 3 4 10 468 1 6 | e = thigh 31 11 18 9 12 416 5 | f = upperarm 3 8 10 13 11 1 456 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3144 89.5216 % Incorrectly Classified Instances 368 10.4784 % Kappa statistic 0.8778 Mean absolute error 0.0299 Root mean squared error 0.173 Relative absolute error 12.2248 % Root relative squared error 49.4465 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.926 0.021 0.883 0.926 0.904 0.953 chest 0.83 0.015 0.902 0.83 0.865 0.908 forearm 0.89 0.017 0.897 0.89 0.894 0.937 head 0.936 0.011 0.936 0.936 0.936 0.963 shin 0.93 0.024 0.868 0.93 0.898 0.953 thigh 0.841 0.018 0.888 0.841 0.864 0.912 upperarm 0.912 0.018 0.895 0.912 0.903 0.947 waist Weighted Avg. 0.895 0.017 0.896 0.895 0.895 0.939 === Confusion Matrix === a b c d e f g <-- classified as 466 8 1 1 9 14 4 | a = chest 9 415 24 4 9 17 22 | b = forearm 10 18 446 1 2 14 10 | c = head 2 1 5 470 16 1 7 | d = shin 14 1 2 10 467 1 7 | e = thigh 23 13 15 9 16 422 4 | f = upperarm 4 4 4 7 19 6 458 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3153 89.7779 % Incorrectly Classified Instances 359 10.2221 % Kappa statistic 0.8807 Mean absolute error 0.0292 Root mean squared error 0.1709 Relative absolute error 11.9258 % Root relative squared error 48.8381 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.901 0.021 0.876 0.901 0.888 0.94 chest 0.88 0.015 0.907 0.88 0.893 0.933 forearm 0.918 0.015 0.913 0.918 0.915 0.952 head 0.89 0.012 0.927 0.89 0.909 0.939 shin 0.936 0.022 0.875 0.936 0.905 0.957 thigh 0.849 0.018 0.889 0.849 0.869 0.915 upperarm 0.91 0.017 0.9 0.91 0.905 0.947 waist Weighted Avg. 0.898 0.017 0.898 0.898 0.898 0.94 === Confusion Matrix === a b c d e f g <-- classified as 453 10 5 5 7 20 3 | a = chest 6 440 12 5 8 10 19 | b = forearm 4 12 460 2 2 12 9 | c = head 7 2 2 447 30 5 9 | d = shin 8 1 3 13 470 3 4 | e = thigh 30 13 14 4 8 426 7 | f = upperarm 9 7 8 6 12 3 457 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3154 89.832 % Incorrectly Classified Instances 357 10.168 % Kappa statistic 0.8814 Mean absolute error 0.0291 Root mean squared error 0.1704 Relative absolute error 11.8627 % Root relative squared error 48.7088 % Total Number of Instances 3511 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.907 0.022 0.875 0.907 0.891 0.942 chest 0.848 0.011 0.93 0.848 0.887 0.919 forearm 0.93 0.016 0.907 0.93 0.918 0.957 head 0.918 0.008 0.952 0.918 0.935 0.955 shin 0.93 0.026 0.855 0.93 0.891 0.952 thigh 0.849 0.015 0.903 0.849 0.875 0.917 upperarm 0.906 0.021 0.877 0.906 0.891 0.943 waist Weighted Avg. 0.898 0.017 0.9 0.898 0.898 0.941 === Confusion Matrix === a b c d e f g <-- classified as 456 3 5 1 15 15 8 | a = chest 8 424 22 6 6 16 18 | b = forearm 5 9 466 1 0 10 10 | c = head 2 0 2 460 30 2 5 | d = shin 11 0 1 6 467 2 15 | e = thigh 31 12 13 2 10 426 8 | f = upperarm 8 8 5 7 18 1 455 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 7 FOLD: 0 Correctly Classified Instances 3192 90.8884 % Incorrectly Classified Instances 320 9.1116 % Kappa statistic 0.8937 Mean absolute error 0.026 Root mean squared error 0.1613 Relative absolute error 10.6302 % Root relative squared error 46.1091 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.907 0.018 0.894 0.907 0.9 0.944 chest 0.862 0.012 0.921 0.862 0.89 0.925 forearm 0.918 0.015 0.909 0.918 0.914 0.952 head 0.944 0.013 0.926 0.944 0.935 0.966 shin 0.954 0.02 0.887 0.954 0.919 0.967 thigh 0.861 0.016 0.898 0.861 0.879 0.922 upperarm 0.916 0.012 0.929 0.916 0.923 0.952 waist Weighted Avg. 0.909 0.015 0.909 0.909 0.909 0.947 === Confusion Matrix === a b c d e f g <-- classified as 456 10 5 2 7 16 7 | a = chest 11 431 15 7 11 12 13 | b = forearm 3 10 461 5 0 16 7 | c = head 4 0 2 474 20 2 0 | d = shin 6 1 2 10 478 0 4 | e = thigh 28 11 13 6 8 432 4 | f = upperarm 2 5 9 8 15 3 460 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3169 90.2335 % Incorrectly Classified Instances 343 9.7665 % Kappa statistic 0.8861 Mean absolute error 0.0279 Root mean squared error 0.167 Relative absolute error 11.3943 % Root relative squared error 47.7373 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.889 0.016 0.903 0.889 0.896 0.936 chest 0.9 0.018 0.891 0.9 0.896 0.941 forearm 0.908 0.014 0.915 0.908 0.912 0.947 head 0.908 0.011 0.931 0.908 0.919 0.949 shin 0.928 0.02 0.886 0.928 0.907 0.954 thigh 0.863 0.018 0.889 0.863 0.876 0.922 upperarm 0.92 0.017 0.902 0.92 0.911 0.952 waist Weighted Avg. 0.902 0.016 0.903 0.902 0.902 0.943 === Confusion Matrix === a b c d e f g <-- classified as 447 13 7 1 9 21 5 | a = chest 3 450 10 4 7 9 17 | b = forearm 3 15 455 4 1 11 12 | c = head 7 5 3 456 25 0 6 | d = shin 12 0 1 10 466 5 8 | e = thigh 17 13 15 10 12 433 2 | f = upperarm 6 9 6 5 6 8 462 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3175 90.4043 % Incorrectly Classified Instances 337 9.5957 % Kappa statistic 0.888 Mean absolute error 0.0274 Root mean squared error 0.1656 Relative absolute error 11.195 % Root relative squared error 47.318 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.895 0.019 0.886 0.895 0.89 0.938 chest 0.878 0.012 0.926 0.878 0.901 0.933 forearm 0.938 0.014 0.918 0.938 0.928 0.962 head 0.91 0.013 0.921 0.91 0.916 0.949 shin 0.944 0.023 0.871 0.944 0.906 0.96 thigh 0.857 0.017 0.892 0.857 0.874 0.92 upperarm 0.906 0.014 0.917 0.906 0.912 0.946 waist Weighted Avg. 0.904 0.016 0.905 0.904 0.904 0.944 === Confusion Matrix === a b c d e f g <-- classified as 450 5 7 7 11 19 4 | a = chest 5 439 17 4 5 15 15 | b = forearm 4 5 470 5 0 7 10 | c = head 2 3 0 457 35 3 2 | d = shin 9 3 2 6 474 3 5 | e = thigh 30 12 11 7 7 430 5 | f = upperarm 8 7 5 10 12 5 455 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3165 90.1196 % Incorrectly Classified Instances 347 9.8804 % Kappa statistic 0.8847 Mean absolute error 0.0282 Root mean squared error 0.168 Relative absolute error 11.5272 % Root relative squared error 48.0149 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.918 0.019 0.888 0.918 0.903 0.95 chest 0.866 0.014 0.91 0.866 0.887 0.926 forearm 0.918 0.015 0.909 0.918 0.914 0.951 head 0.928 0.014 0.919 0.928 0.924 0.957 shin 0.924 0.024 0.866 0.924 0.894 0.95 thigh 0.855 0.014 0.911 0.855 0.882 0.92 upperarm 0.898 0.015 0.909 0.898 0.904 0.942 waist Weighted Avg. 0.901 0.016 0.902 0.901 0.901 0.942 === Confusion Matrix === a b c d e f g <-- classified as 462 7 3 5 11 11 4 | a = chest 7 433 12 7 9 15 17 | b = forearm 8 17 460 2 0 9 5 | c = head 1 1 5 466 23 1 5 | d = shin 13 2 2 14 464 1 6 | e = thigh 25 8 16 5 11 429 8 | f = upperarm 4 8 8 8 18 5 451 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3145 89.5501 % Incorrectly Classified Instances 367 10.4499 % Kappa statistic 0.8781 Mean absolute error 0.0299 Root mean squared error 0.1728 Relative absolute error 12.1915 % Root relative squared error 49.3792 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.907 0.019 0.889 0.907 0.898 0.944 chest 0.84 0.011 0.925 0.84 0.881 0.914 forearm 0.924 0.021 0.88 0.924 0.902 0.952 head 0.944 0.014 0.919 0.944 0.931 0.965 shin 0.934 0.022 0.878 0.934 0.905 0.956 thigh 0.821 0.019 0.878 0.821 0.849 0.901 upperarm 0.898 0.016 0.902 0.898 0.9 0.941 waist Weighted Avg. 0.896 0.017 0.896 0.896 0.895 0.939 === Confusion Matrix === a b c d e f g <-- classified as 456 6 6 4 8 19 4 | a = chest 8 420 23 4 11 19 15 | b = forearm 5 11 463 2 1 11 8 | c = head 2 2 2 474 15 1 6 | d = shin 8 1 2 15 469 2 5 | e = thigh 29 7 18 8 17 412 11 | f = upperarm 5 7 12 9 13 5 451 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3161 90.0057 % Incorrectly Classified Instances 351 9.9943 % Kappa statistic 0.8834 Mean absolute error 0.0286 Root mean squared error 0.169 Relative absolute error 11.66 % Root relative squared error 48.2908 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.903 0.017 0.899 0.903 0.901 0.943 chest 0.87 0.015 0.908 0.87 0.889 0.928 forearm 0.928 0.019 0.889 0.928 0.908 0.954 head 0.926 0.01 0.941 0.926 0.934 0.958 shin 0.958 0.026 0.859 0.958 0.906 0.966 thigh 0.811 0.012 0.919 0.811 0.861 0.899 upperarm 0.904 0.018 0.894 0.904 0.899 0.943 waist Weighted Avg. 0.9 0.017 0.901 0.9 0.9 0.942 === Confusion Matrix === a b c d e f g <-- classified as 454 10 4 7 13 12 3 | a = chest 7 435 17 1 11 9 20 | b = forearm 1 9 465 1 2 11 12 | c = head 2 0 5 465 25 1 4 | d = shin 6 1 1 8 481 0 5 | e = thigh 29 17 23 6 10 407 10 | f = upperarm 6 7 8 6 18 3 454 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3158 89.9203 % Incorrectly Classified Instances 354 10.0797 % Kappa statistic 0.8824 Mean absolute error 0.0288 Root mean squared error 0.1697 Relative absolute error 11.7597 % Root relative squared error 48.4968 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.887 0.017 0.896 0.887 0.891 0.935 chest 0.868 0.012 0.925 0.868 0.896 0.928 forearm 0.934 0.02 0.885 0.934 0.909 0.957 head 0.924 0.014 0.917 0.924 0.921 0.955 shin 0.942 0.024 0.866 0.942 0.903 0.959 thigh 0.825 0.016 0.896 0.825 0.859 0.904 upperarm 0.914 0.014 0.914 0.914 0.914 0.95 waist Weighted Avg. 0.899 0.017 0.9 0.899 0.899 0.941 === Confusion Matrix === a b c d e f g <-- classified as 446 7 12 4 8 18 8 | a = chest 7 434 19 6 10 11 13 | b = forearm 1 11 468 2 3 12 4 | c = head 2 2 2 464 23 3 6 | d = shin 6 0 2 14 473 2 5 | e = thigh 34 10 17 4 16 414 7 | f = upperarm 2 5 9 12 13 2 459 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3144 89.5216 % Incorrectly Classified Instances 368 10.4784 % Kappa statistic 0.8778 Mean absolute error 0.0299 Root mean squared error 0.173 Relative absolute error 12.2248 % Root relative squared error 49.4465 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.922 0.017 0.903 0.922 0.912 0.953 chest 0.868 0.014 0.914 0.868 0.89 0.927 forearm 0.922 0.02 0.883 0.922 0.902 0.951 head 0.91 0.012 0.929 0.91 0.92 0.949 shin 0.926 0.024 0.866 0.926 0.895 0.951 thigh 0.831 0.02 0.874 0.831 0.852 0.905 upperarm 0.886 0.016 0.901 0.886 0.894 0.935 waist Weighted Avg. 0.895 0.017 0.896 0.895 0.895 0.939 === Confusion Matrix === a b c d e f g <-- classified as 464 2 6 2 6 22 1 | a = chest 5 434 15 5 9 15 17 | b = forearm 1 11 462 2 1 10 14 | c = head 3 2 1 457 29 4 6 | d = shin 12 2 0 11 465 6 6 | e = thigh 24 16 25 8 7 417 5 | f = upperarm 5 8 14 7 20 3 445 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3165 90.1196 % Incorrectly Classified Instances 347 9.8804 % Kappa statistic 0.8847 Mean absolute error 0.0282 Root mean squared error 0.168 Relative absolute error 11.5271 % Root relative squared error 48.0149 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.893 0.018 0.893 0.893 0.893 0.937 chest 0.86 0.011 0.929 0.86 0.893 0.925 forearm 0.93 0.022 0.876 0.93 0.902 0.954 head 0.944 0.013 0.924 0.944 0.934 0.966 shin 0.94 0.016 0.906 0.94 0.923 0.962 thigh 0.843 0.018 0.889 0.843 0.865 0.913 upperarm 0.898 0.018 0.895 0.898 0.896 0.94 waist Weighted Avg. 0.901 0.016 0.902 0.901 0.901 0.942 === Confusion Matrix === a b c d e f g <-- classified as 450 7 4 6 7 23 7 | a = chest 4 431 23 8 7 13 15 | b = forearm 6 10 466 1 1 10 7 | c = head 4 0 1 473 13 2 8 | d = shin 5 2 4 7 471 4 8 | e = thigh 30 3 22 7 9 424 8 | f = upperarm 5 11 12 10 12 1 450 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3131 89.1769 % Incorrectly Classified Instances 380 10.8231 % Kappa statistic 0.8737 Mean absolute error 0.0309 Root mean squared error 0.1758 Relative absolute error 12.627 % Root relative squared error 50.2533 % Total Number of Instances 3511 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.887 0.018 0.89 0.887 0.888 0.934 chest 0.838 0.013 0.917 0.838 0.876 0.913 forearm 0.932 0.017 0.903 0.932 0.918 0.958 head 0.904 0.014 0.915 0.904 0.91 0.945 shin 0.932 0.023 0.873 0.932 0.902 0.955 thigh 0.853 0.021 0.872 0.853 0.862 0.916 upperarm 0.896 0.021 0.875 0.896 0.886 0.938 waist Weighted Avg. 0.892 0.018 0.892 0.892 0.892 0.937 === Confusion Matrix === a b c d e f g <-- classified as 446 6 6 5 9 28 3 | a = chest 13 419 14 7 5 15 27 | b = forearm 2 12 468 1 1 9 9 | c = head 3 1 1 453 28 4 11 | d = shin 6 1 3 13 467 2 9 | e = thigh 26 8 16 7 12 428 5 | f = upperarm 5 10 10 9 13 5 450 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 8 FOLD: 0 Correctly Classified Instances 3147 89.6071 % Incorrectly Classified Instances 365 10.3929 % Kappa statistic 0.8787 Mean absolute error 0.0297 Root mean squared error 0.1723 Relative absolute error 12.1251 % Root relative squared error 49.2445 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.907 0.018 0.892 0.907 0.899 0.944 chest 0.852 0.017 0.893 0.852 0.872 0.918 forearm 0.912 0.018 0.893 0.912 0.902 0.947 head 0.928 0.012 0.928 0.928 0.928 0.958 shin 0.93 0.021 0.883 0.93 0.906 0.955 thigh 0.833 0.018 0.887 0.833 0.859 0.908 upperarm 0.91 0.018 0.896 0.91 0.903 0.946 waist Weighted Avg. 0.896 0.017 0.896 0.896 0.896 0.939 === Confusion Matrix === a b c d e f g <-- classified as 456 5 6 2 8 18 8 | a = chest 8 426 19 3 12 14 18 | b = forearm 2 13 457 4 0 13 12 | c = head 4 2 3 466 21 3 3 | d = shin 14 0 0 12 467 1 8 | e = thigh 23 20 17 9 11 418 4 | f = upperarm 4 11 10 6 10 4 457 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3163 90.0626 % Incorrectly Classified Instances 349 9.9374 % Kappa statistic 0.8841 Mean absolute error 0.0284 Root mean squared error 0.1685 Relative absolute error 11.5936 % Root relative squared error 48.1531 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.889 0.02 0.883 0.889 0.886 0.935 chest 0.88 0.015 0.907 0.88 0.893 0.933 forearm 0.922 0.017 0.901 0.922 0.911 0.953 head 0.926 0.009 0.945 0.926 0.936 0.959 shin 0.938 0.02 0.887 0.938 0.912 0.959 thigh 0.837 0.015 0.901 0.837 0.868 0.911 upperarm 0.912 0.02 0.882 0.912 0.897 0.946 waist Weighted Avg. 0.901 0.017 0.901 0.901 0.9 0.942 === Confusion Matrix === a b c d e f g <-- classified as 447 11 7 4 6 20 8 | a = chest 7 440 12 5 9 10 17 | b = forearm 8 10 462 1 1 8 11 | c = head 2 1 3 465 22 1 8 | d = shin 9 1 2 8 471 4 7 | e = thigh 29 12 17 3 11 420 10 | f = upperarm 4 10 10 6 11 3 458 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3175 90.4043 % Incorrectly Classified Instances 337 9.5957 % Kappa statistic 0.8881 Mean absolute error 0.0274 Root mean squared error 0.1656 Relative absolute error 11.195 % Root relative squared error 47.318 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.879 0.015 0.908 0.879 0.893 0.932 chest 0.896 0.014 0.916 0.896 0.906 0.941 forearm 0.916 0.015 0.913 0.916 0.914 0.951 head 0.926 0.011 0.932 0.926 0.929 0.957 shin 0.944 0.023 0.875 0.944 0.908 0.961 thigh 0.857 0.017 0.894 0.857 0.875 0.92 upperarm 0.91 0.018 0.894 0.91 0.902 0.946 waist Weighted Avg. 0.904 0.016 0.904 0.904 0.904 0.944 === Confusion Matrix === a b c d e f g <-- classified as 442 7 7 6 14 23 4 | a = chest 7 448 11 3 4 9 18 | b = forearm 2 14 459 2 0 12 12 | c = head 1 2 0 465 25 2 7 | d = shin 6 2 2 10 474 1 7 | e = thigh 22 10 20 4 10 430 6 | f = upperarm 7 6 4 9 15 4 457 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3157 89.8918 % Incorrectly Classified Instances 355 10.1082 % Kappa statistic 0.8821 Mean absolute error 0.0289 Root mean squared error 0.1699 Relative absolute error 11.7929 % Root relative squared error 48.5652 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.905 0.02 0.883 0.905 0.894 0.942 chest 0.852 0.011 0.926 0.852 0.887 0.92 forearm 0.938 0.015 0.914 0.938 0.926 0.962 head 0.938 0.013 0.922 0.938 0.93 0.962 shin 0.926 0.021 0.882 0.926 0.904 0.953 thigh 0.839 0.019 0.881 0.839 0.859 0.91 upperarm 0.894 0.019 0.886 0.894 0.89 0.938 waist Weighted Avg. 0.899 0.017 0.899 0.899 0.899 0.941 === Confusion Matrix === a b c d e f g <-- classified as 455 9 3 3 6 21 6 | a = chest 5 426 13 4 8 20 24 | b = forearm 3 8 470 1 2 9 8 | c = head 2 1 1 471 23 1 3 | d = shin 9 2 0 16 465 2 8 | e = thigh 36 6 18 5 7 421 9 | f = upperarm 5 8 9 11 16 4 449 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3171 90.2904 % Incorrectly Classified Instances 341 9.7096 % Kappa statistic 0.8867 Mean absolute error 0.0277 Root mean squared error 0.1666 Relative absolute error 11.3278 % Root relative squared error 47.598 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.871 0.016 0.899 0.871 0.885 0.927 chest 0.886 0.014 0.915 0.886 0.9 0.936 forearm 0.928 0.018 0.896 0.928 0.912 0.955 head 0.926 0.013 0.923 0.926 0.924 0.957 shin 0.944 0.023 0.873 0.944 0.907 0.961 thigh 0.859 0.015 0.904 0.859 0.88 0.922 upperarm 0.906 0.014 0.914 0.906 0.91 0.946 waist Weighted Avg. 0.903 0.016 0.903 0.903 0.903 0.943 === Confusion Matrix === a b c d e f g <-- classified as 438 13 9 2 10 23 8 | a = chest 9 443 16 3 7 8 14 | b = forearm 3 15 465 2 0 7 9 | c = head 1 2 2 465 24 4 4 | d = shin 8 0 2 12 474 2 4 | e = thigh 25 5 15 10 12 431 4 | f = upperarm 3 6 10 10 16 2 455 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3158 89.9203 % Incorrectly Classified Instances 354 10.0797 % Kappa statistic 0.8824 Mean absolute error 0.0288 Root mean squared error 0.1697 Relative absolute error 11.7597 % Root relative squared error 48.4968 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.913 0.02 0.884 0.913 0.898 0.946 chest 0.844 0.012 0.919 0.844 0.88 0.916 forearm 0.934 0.021 0.881 0.934 0.907 0.957 head 0.918 0.01 0.941 0.918 0.929 0.954 shin 0.938 0.021 0.884 0.938 0.91 0.959 thigh 0.843 0.017 0.894 0.843 0.868 0.913 upperarm 0.904 0.018 0.895 0.904 0.9 0.943 waist Weighted Avg. 0.899 0.017 0.9 0.899 0.899 0.941 === Confusion Matrix === a b c d e f g <-- classified as 459 5 6 3 9 18 3 | a = chest 7 422 21 7 7 18 18 | b = forearm 2 10 468 1 2 10 8 | c = head 6 3 0 461 22 1 9 | d = shin 12 1 3 8 471 1 6 | e = thigh 30 11 18 5 6 423 9 | f = upperarm 3 7 15 5 16 2 454 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3173 90.3474 % Incorrectly Classified Instances 339 9.6526 % Kappa statistic 0.8874 Mean absolute error 0.0276 Root mean squared error 0.1661 Relative absolute error 11.2614 % Root relative squared error 47.4582 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.934 0.017 0.904 0.934 0.919 0.959 chest 0.858 0.015 0.907 0.858 0.882 0.922 forearm 0.92 0.017 0.899 0.92 0.909 0.951 head 0.916 0.015 0.911 0.916 0.914 0.951 shin 0.936 0.022 0.875 0.936 0.905 0.957 thigh 0.841 0.013 0.917 0.841 0.877 0.914 upperarm 0.918 0.014 0.915 0.918 0.917 0.952 waist Weighted Avg. 0.903 0.016 0.904 0.903 0.903 0.944 === Confusion Matrix === a b c d e f g <-- classified as 470 7 1 5 6 11 3 | a = chest 9 429 22 8 5 9 18 | b = forearm 2 15 461 6 1 11 5 | c = head 3 1 2 460 31 2 3 | d = shin 4 1 4 13 470 2 8 | e = thigh 25 16 17 5 11 422 6 | f = upperarm 7 4 6 8 13 3 461 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3153 89.7779 % Incorrectly Classified Instances 359 10.2221 % Kappa statistic 0.8807 Mean absolute error 0.0292 Root mean squared error 0.1709 Relative absolute error 11.9258 % Root relative squared error 48.8381 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.879 0.014 0.913 0.879 0.896 0.932 chest 0.858 0.015 0.903 0.858 0.88 0.921 forearm 0.916 0.023 0.868 0.916 0.891 0.947 head 0.938 0.013 0.922 0.938 0.93 0.962 shin 0.94 0.021 0.882 0.94 0.91 0.96 thigh 0.849 0.016 0.899 0.849 0.873 0.916 upperarm 0.904 0.017 0.901 0.904 0.903 0.944 waist Weighted Avg. 0.898 0.017 0.898 0.898 0.898 0.94 === Confusion Matrix === a b c d e f g <-- classified as 442 10 10 5 7 21 8 | a = chest 7 429 16 8 12 13 15 | b = forearm 2 14 460 3 0 12 11 | c = head 3 1 4 470 18 0 5 | d = shin 7 3 4 9 471 0 7 | e = thigh 19 9 29 5 10 427 4 | f = upperarm 4 9 7 10 16 2 454 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3142 89.4647 % Incorrectly Classified Instances 370 10.5353 % Kappa statistic 0.8771 Mean absolute error 0.0301 Root mean squared error 0.1735 Relative absolute error 12.2912 % Root relative squared error 49.5806 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.921 0.021 0.879 0.921 0.899 0.95 chest 0.854 0.012 0.924 0.854 0.888 0.921 forearm 0.918 0.021 0.881 0.918 0.9 0.949 head 0.908 0.011 0.934 0.908 0.921 0.949 shin 0.946 0.028 0.848 0.946 0.894 0.959 thigh 0.807 0.013 0.914 0.807 0.857 0.897 upperarm 0.908 0.018 0.894 0.908 0.901 0.945 waist Weighted Avg. 0.895 0.018 0.896 0.895 0.894 0.939 === Confusion Matrix === a b c d e f g <-- classified as 464 3 7 5 12 12 1 | a = chest 6 427 23 5 9 12 18 | b = forearm 4 11 461 3 3 7 13 | c = head 4 1 2 455 31 1 7 | d = shin 9 1 0 6 474 5 6 | e = thigh 37 8 19 9 15 405 9 | f = upperarm 4 11 11 4 15 1 456 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3168 90.2307 % Incorrectly Classified Instances 343 9.7693 % Kappa statistic 0.886 Mean absolute error 0.0279 Root mean squared error 0.1671 Relative absolute error 11.3975 % Root relative squared error 47.7441 % Total Number of Instances 3511 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.907 0.021 0.88 0.907 0.893 0.943 chest 0.854 0.01 0.937 0.854 0.894 0.922 forearm 0.954 0.015 0.916 0.954 0.935 0.97 head 0.92 0.014 0.915 0.92 0.918 0.953 shin 0.924 0.023 0.869 0.924 0.896 0.95 thigh 0.847 0.011 0.93 0.847 0.886 0.918 upperarm 0.91 0.021 0.879 0.91 0.894 0.945 waist Weighted Avg. 0.902 0.016 0.904 0.902 0.902 0.943 === Confusion Matrix === a b c d e f g <-- classified as 456 6 6 3 10 14 8 | a = chest 9 428 15 3 13 10 23 | b = forearm 7 5 478 1 1 3 6 | c = head 5 1 5 462 15 2 12 | d = shin 10 1 0 16 463 1 10 | e = thigh 25 9 11 12 16 425 4 | f = upperarm 6 7 7 8 15 2 456 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 9 FOLD: 0 Correctly Classified Instances 3138 89.3508 % Incorrectly Classified Instances 374 10.6492 % Kappa statistic 0.8758 Mean absolute error 0.0304 Root mean squared error 0.1744 Relative absolute error 12.4241 % Root relative squared error 49.8479 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.899 0.019 0.89 0.899 0.894 0.94 chest 0.834 0.012 0.919 0.834 0.874 0.911 forearm 0.908 0.021 0.877 0.908 0.892 0.943 head 0.922 0.012 0.928 0.922 0.925 0.955 shin 0.948 0.023 0.873 0.948 0.909 0.963 thigh 0.843 0.017 0.891 0.843 0.866 0.913 upperarm 0.9 0.02 0.883 0.9 0.892 0.94 waist Weighted Avg. 0.894 0.018 0.894 0.894 0.893 0.938 === Confusion Matrix === a b c d e f g <-- classified as 452 5 7 1 10 23 5 | a = chest 9 417 19 8 10 12 25 | b = forearm 4 16 455 3 0 11 12 | c = head 3 0 4 463 21 3 8 | d = shin 10 1 2 7 476 2 4 | e = thigh 28 8 19 6 12 423 6 | f = upperarm 2 7 13 11 16 1 452 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3184 90.6606 % Incorrectly Classified Instances 328 9.3394 % Kappa statistic 0.891 Mean absolute error 0.0267 Root mean squared error 0.1634 Relative absolute error 10.896 % Root relative squared error 46.6819 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.905 0.015 0.91 0.905 0.907 0.945 chest 0.868 0.012 0.923 0.868 0.895 0.928 forearm 0.92 0.018 0.895 0.92 0.907 0.951 head 0.922 0.012 0.928 0.922 0.925 0.955 shin 0.948 0.022 0.88 0.948 0.913 0.963 thigh 0.871 0.016 0.899 0.871 0.885 0.927 upperarm 0.912 0.014 0.914 0.912 0.913 0.949 waist Weighted Avg. 0.907 0.016 0.907 0.907 0.906 0.946 === Confusion Matrix === a b c d e f g <-- classified as 455 5 6 4 8 20 5 | a = chest 6 434 23 3 6 10 18 | b = forearm 8 7 461 3 1 15 6 | c = head 4 4 2 463 27 0 2 | d = shin 6 0 4 10 476 1 5 | e = thigh 19 11 15 4 9 437 7 | f = upperarm 2 9 4 12 14 3 458 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3155 89.8349 % Incorrectly Classified Instances 357 10.1651 % Kappa statistic 0.8814 Mean absolute error 0.029 Root mean squared error 0.1704 Relative absolute error 11.8593 % Root relative squared error 48.7018 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.897 0.019 0.888 0.897 0.892 0.939 chest 0.86 0.014 0.913 0.86 0.886 0.923 forearm 0.916 0.019 0.89 0.916 0.903 0.949 head 0.916 0.01 0.937 0.916 0.926 0.953 shin 0.96 0.022 0.878 0.96 0.917 0.969 thigh 0.833 0.019 0.882 0.833 0.857 0.907 upperarm 0.906 0.016 0.905 0.906 0.905 0.945 waist Weighted Avg. 0.898 0.017 0.899 0.898 0.898 0.941 === Confusion Matrix === a b c d e f g <-- classified as 451 9 7 3 5 22 6 | a = chest 7 430 20 4 9 16 14 | b = forearm 1 13 459 3 1 11 13 | c = head 5 1 2 460 24 3 7 | d = shin 5 0 0 7 482 2 6 | e = thigh 30 10 17 11 14 418 2 | f = upperarm 9 8 11 3 14 2 455 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3150 89.6925 % Incorrectly Classified Instances 362 10.3075 % Kappa statistic 0.8797 Mean absolute error 0.0295 Root mean squared error 0.1716 Relative absolute error 12.0254 % Root relative squared error 49.0417 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.903 0.02 0.882 0.903 0.892 0.941 chest 0.916 0.013 0.922 0.916 0.919 0.952 forearm 0.892 0.014 0.916 0.892 0.904 0.939 head 0.896 0.012 0.926 0.896 0.911 0.942 shin 0.918 0.028 0.846 0.918 0.881 0.945 thigh 0.833 0.013 0.913 0.833 0.871 0.91 upperarm 0.92 0.02 0.883 0.92 0.901 0.95 waist Weighted Avg. 0.897 0.017 0.898 0.897 0.897 0.94 === Confusion Matrix === a b c d e f g <-- classified as 454 5 4 6 15 14 5 | a = chest 3 458 10 5 6 8 10 | b = forearm 5 13 447 3 4 12 17 | c = head 5 2 3 450 34 0 8 | d = shin 8 3 3 15 461 1 11 | e = thigh 35 9 13 4 13 418 10 | f = upperarm 5 7 8 3 12 5 462 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3153 89.7779 % Incorrectly Classified Instances 359 10.2221 % Kappa statistic 0.8807 Mean absolute error 0.0292 Root mean squared error 0.1709 Relative absolute error 11.9258 % Root relative squared error 48.8381 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.889 0.018 0.894 0.889 0.891 0.936 chest 0.894 0.014 0.916 0.894 0.905 0.94 forearm 0.932 0.016 0.907 0.932 0.919 0.958 head 0.91 0.015 0.912 0.91 0.911 0.948 shin 0.938 0.022 0.879 0.938 0.908 0.958 thigh 0.829 0.014 0.908 0.829 0.867 0.908 upperarm 0.892 0.022 0.872 0.892 0.882 0.935 waist Weighted Avg. 0.898 0.017 0.898 0.898 0.898 0.94 === Confusion Matrix === a b c d e f g <-- classified as 447 6 10 6 11 17 6 | a = chest 3 447 11 5 7 7 20 | b = forearm 3 11 467 2 1 8 9 | c = head 1 3 1 456 22 3 15 | d = shin 9 1 0 10 471 2 9 | e = thigh 29 12 17 10 11 417 7 | f = upperarm 8 8 9 11 13 5 448 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3149 89.664 % Incorrectly Classified Instances 363 10.336 % Kappa statistic 0.8794 Mean absolute error 0.0295 Root mean squared error 0.1718 Relative absolute error 12.0587 % Root relative squared error 49.1094 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.913 0.021 0.88 0.913 0.896 0.946 chest 0.834 0.011 0.929 0.834 0.879 0.912 forearm 0.93 0.019 0.891 0.93 0.91 0.956 head 0.926 0.01 0.937 0.926 0.932 0.958 shin 0.93 0.022 0.876 0.93 0.902 0.954 thigh 0.831 0.019 0.882 0.831 0.855 0.906 upperarm 0.912 0.019 0.888 0.912 0.9 0.947 waist Weighted Avg. 0.897 0.017 0.897 0.897 0.896 0.94 === Confusion Matrix === a b c d e f g <-- classified as 460 6 6 4 11 12 5 | a = chest 11 417 19 5 8 17 23 | b = forearm 5 9 466 2 0 14 5 | c = head 4 0 2 464 19 5 7 | d = shin 10 2 2 8 467 4 9 | e = thigh 28 9 19 8 12 417 9 | f = upperarm 5 6 9 4 16 4 458 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3145 89.5501 % Incorrectly Classified Instances 367 10.4499 % Kappa statistic 0.8781 Mean absolute error 0.0299 Root mean squared error 0.1728 Relative absolute error 12.1915 % Root relative squared error 49.3792 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.897 0.025 0.859 0.897 0.877 0.936 chest 0.856 0.012 0.924 0.856 0.889 0.922 forearm 0.926 0.016 0.908 0.926 0.917 0.955 head 0.94 0.013 0.922 0.94 0.931 0.963 shin 0.904 0.02 0.883 0.904 0.893 0.942 thigh 0.847 0.017 0.895 0.847 0.87 0.915 upperarm 0.898 0.02 0.881 0.898 0.89 0.939 waist Weighted Avg. 0.896 0.017 0.896 0.896 0.895 0.939 === Confusion Matrix === a b c d e f g <-- classified as 451 6 8 5 8 21 4 | a = chest 13 428 14 2 8 13 22 | b = forearm 6 7 465 2 0 10 12 | c = head 1 2 2 472 19 2 4 | d = shin 18 0 2 15 453 1 12 | e = thigh 29 10 12 9 10 425 7 | f = upperarm 7 10 9 7 15 3 451 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3180 90.5467 % Incorrectly Classified Instances 332 9.4533 % Kappa statistic 0.8897 Mean absolute error 0.027 Root mean squared error 0.1643 Relative absolute error 11.0289 % Root relative squared error 46.9656 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.875 0.014 0.911 0.875 0.892 0.93 chest 0.862 0.013 0.915 0.862 0.888 0.924 forearm 0.93 0.016 0.909 0.93 0.919 0.957 head 0.928 0.009 0.943 0.928 0.936 0.959 shin 0.944 0.022 0.878 0.944 0.91 0.961 thigh 0.865 0.018 0.891 0.865 0.878 0.923 upperarm 0.934 0.018 0.895 0.934 0.914 0.958 waist Weighted Avg. 0.905 0.016 0.906 0.905 0.905 0.945 === Confusion Matrix === a b c d e f g <-- classified as 440 12 5 3 12 26 5 | a = chest 8 431 16 5 10 12 18 | b = forearm 2 7 467 3 1 9 13 | c = head 0 1 3 466 25 1 6 | d = shin 7 3 2 7 473 3 6 | e = thigh 25 11 15 5 5 434 7 | f = upperarm 1 6 6 5 13 2 469 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3173 90.3474 % Incorrectly Classified Instances 339 9.6526 % Kappa statistic 0.8874 Mean absolute error 0.0276 Root mean squared error 0.1661 Relative absolute error 11.2614 % Root relative squared error 47.4582 % Total Number of Instances 3512 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.915 0.015 0.911 0.915 0.913 0.95 chest 0.86 0.013 0.919 0.86 0.889 0.924 forearm 0.938 0.017 0.902 0.938 0.92 0.961 head 0.93 0.016 0.909 0.93 0.919 0.957 shin 0.942 0.022 0.876 0.942 0.908 0.96 thigh 0.827 0.016 0.896 0.827 0.86 0.905 upperarm 0.912 0.014 0.914 0.912 0.913 0.949 waist Weighted Avg. 0.903 0.016 0.904 0.903 0.903 0.944 === Confusion Matrix === a b c d e f g <-- classified as 460 4 4 2 9 20 4 | a = chest 9 431 14 8 9 13 17 | b = forearm 2 11 470 4 0 10 4 | c = head 4 1 0 467 25 1 4 | d = shin 2 1 2 16 472 1 7 | e = thigh 25 12 25 8 10 415 7 | f = upperarm 3 9 6 9 14 3 458 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3175 90.4301 % Incorrectly Classified Instances 336 9.5699 % Kappa statistic 0.8884 Mean absolute error 0.0273 Root mean squared error 0.1654 Relative absolute error 11.1649 % Root relative squared error 47.2544 % Total Number of Instances 3511 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.913 0.017 0.902 0.913 0.907 0.948 chest 0.856 0.012 0.92 0.856 0.887 0.922 forearm 0.928 0.016 0.905 0.928 0.916 0.956 head 0.94 0.012 0.927 0.94 0.934 0.964 shin 0.936 0.022 0.879 0.936 0.906 0.957 thigh 0.845 0.013 0.916 0.845 0.879 0.916 upperarm 0.912 0.02 0.886 0.912 0.899 0.946 waist Weighted Avg. 0.904 0.016 0.905 0.904 0.904 0.944 === Confusion Matrix === a b c d e f g <-- classified as 459 4 5 6 3 17 9 | a = chest 11 428 13 4 16 9 19 | b = forearm 2 15 465 0 1 10 8 | c = head 1 1 2 472 19 1 6 | d = shin 9 0 0 13 470 1 9 | e = thigh 22 9 18 5 16 424 8 | f = upperarm 5 8 11 9 10 1 457 | g = waist ------------------------------------------------------------------------------------------------------ SUBJECT: 10 RUN: 0 FOLD: 0 Correctly Classified Instances 2815 91.4258 % Incorrectly Classified Instances 264 8.5742 % Kappa statistic 0.9 Mean absolute error 0.0245 Root mean squared error 0.1565 Relative absolute error 10.0033 % Root relative squared error 44.7286 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.893 0.012 0.927 0.893 0.91 0.941 chest 0.891 0.019 0.887 0.891 0.889 0.936 forearm 0.914 0.018 0.895 0.914 0.904 0.948 head 0.98 0.003 0.98 0.98 0.98 0.988 shin 0.968 0.009 0.947 0.968 0.957 0.98 thigh 0.836 0.022 0.864 0.836 0.85 0.907 upperarm 0.918 0.017 0.9 0.918 0.909 0.951 waist Weighted Avg. 0.914 0.014 0.914 0.914 0.914 0.95 === Confusion Matrix === a b c d e f g <-- classified as 393 6 2 2 7 26 4 | a = chest 3 391 11 2 3 7 22 | b = forearm 4 11 402 1 1 14 7 | c = head 1 2 2 431 3 0 1 | d = shin 5 0 0 2 425 5 2 | e = thigh 17 11 30 1 4 368 9 | f = upperarm 1 20 2 1 6 6 405 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2802 91.0036 % Incorrectly Classified Instances 277 8.9964 % Kappa statistic 0.895 Mean absolute error 0.0257 Root mean squared error 0.1603 Relative absolute error 10.4958 % Root relative squared error 45.8167 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.886 0.01 0.935 0.886 0.91 0.938 chest 0.872 0.022 0.87 0.872 0.871 0.925 forearm 0.911 0.021 0.877 0.911 0.894 0.945 head 0.966 0.003 0.984 0.966 0.975 0.982 shin 0.952 0.004 0.974 0.952 0.963 0.974 thigh 0.868 0.025 0.855 0.868 0.861 0.922 upperarm 0.914 0.02 0.882 0.914 0.898 0.947 waist Weighted Avg. 0.91 0.015 0.911 0.91 0.91 0.948 === Confusion Matrix === a b c d e f g <-- classified as 390 7 3 0 1 37 2 | a = chest 2 383 22 1 2 4 25 | b = forearm 4 13 401 1 0 12 9 | c = head 1 1 2 425 6 3 2 | d = shin 5 2 1 3 418 2 8 | e = thigh 15 13 21 1 0 382 8 | f = upperarm 0 21 7 1 2 7 403 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2802 91.0036 % Incorrectly Classified Instances 277 8.9964 % Kappa statistic 0.895 Mean absolute error 0.0257 Root mean squared error 0.1603 Relative absolute error 10.4958 % Root relative squared error 45.8167 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.895 0.014 0.914 0.895 0.905 0.941 chest 0.866 0.017 0.892 0.866 0.879 0.924 forearm 0.914 0.018 0.895 0.914 0.904 0.948 head 0.966 0.002 0.988 0.966 0.977 0.982 shin 0.95 0.011 0.935 0.95 0.942 0.969 thigh 0.83 0.021 0.869 0.83 0.849 0.904 upperarm 0.95 0.022 0.878 0.95 0.913 0.964 waist Weighted Avg. 0.91 0.015 0.91 0.91 0.91 0.948 === Confusion Matrix === a b c d e f g <-- classified as 394 5 5 1 8 25 2 | a = chest 2 380 15 1 4 8 29 | b = forearm 4 7 402 1 2 14 10 | c = head 1 5 0 425 8 1 0 | d = shin 4 4 4 1 417 3 6 | e = thigh 25 13 20 1 5 365 11 | f = upperarm 1 12 3 0 2 4 419 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2798 90.8737 % Incorrectly Classified Instances 281 9.1263 % Kappa statistic 0.8935 Mean absolute error 0.0261 Root mean squared error 0.1615 Relative absolute error 10.6474 % Root relative squared error 46.1463 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.905 0.018 0.892 0.905 0.898 0.943 chest 0.854 0.018 0.889 0.854 0.871 0.918 forearm 0.927 0.023 0.868 0.927 0.897 0.952 head 0.97 0.002 0.988 0.97 0.979 0.984 shin 0.934 0.007 0.958 0.934 0.946 0.964 thigh 0.841 0.017 0.889 0.841 0.864 0.912 upperarm 0.93 0.021 0.882 0.93 0.905 0.954 waist Weighted Avg. 0.909 0.015 0.909 0.909 0.909 0.947 === Confusion Matrix === a b c d e f g <-- classified as 398 5 7 0 3 25 2 | a = chest 1 375 24 1 2 7 29 | b = forearm 5 8 408 0 1 8 10 | c = head 2 3 1 427 4 2 1 | d = shin 12 6 0 2 411 0 9 | e = thigh 22 12 26 1 5 369 4 | f = upperarm 6 13 4 1 3 4 410 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2791 90.6463 % Incorrectly Classified Instances 288 9.3537 % Kappa statistic 0.8909 Mean absolute error 0.0267 Root mean squared error 0.1635 Relative absolute error 10.9126 % Root relative squared error 46.7175 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.888 0.013 0.92 0.888 0.904 0.938 chest 0.854 0.02 0.878 0.854 0.866 0.917 forearm 0.916 0.02 0.886 0.916 0.901 0.948 head 0.966 0.003 0.984 0.966 0.975 0.982 shin 0.957 0.009 0.944 0.957 0.95 0.974 thigh 0.836 0.025 0.848 0.836 0.842 0.906 upperarm 0.927 0.02 0.887 0.927 0.907 0.954 waist Weighted Avg. 0.906 0.016 0.907 0.906 0.906 0.945 === Confusion Matrix === a b c d e f g <-- classified as 390 5 5 0 9 26 4 | a = chest 1 375 17 5 8 8 25 | b = forearm 2 10 403 0 1 17 7 | c = head 2 4 1 425 3 4 1 | d = shin 6 2 0 0 421 4 7 | e = thigh 21 16 23 2 2 368 8 | f = upperarm 2 15 6 0 2 7 409 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2801 90.9711 % Incorrectly Classified Instances 278 9.0289 % Kappa statistic 0.8947 Mean absolute error 0.0258 Root mean squared error 0.1606 Relative absolute error 10.5337 % Root relative squared error 45.8993 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.886 0.013 0.92 0.886 0.903 0.937 chest 0.872 0.018 0.891 0.872 0.881 0.927 forearm 0.909 0.019 0.889 0.909 0.899 0.945 head 0.975 0.005 0.973 0.975 0.974 0.985 shin 0.955 0.008 0.952 0.955 0.953 0.973 thigh 0.83 0.021 0.869 0.83 0.849 0.904 upperarm 0.941 0.022 0.876 0.941 0.907 0.959 waist Weighted Avg. 0.91 0.015 0.91 0.91 0.909 0.947 === Confusion Matrix === a b c d e f g <-- classified as 389 6 4 1 6 28 5 | a = chest 4 383 10 5 5 7 25 | b = forearm 3 12 401 1 0 16 8 | c = head 0 5 1 428 4 0 1 | d = shin 4 2 0 3 420 1 10 | e = thigh 21 10 28 2 4 365 10 | f = upperarm 2 12 7 0 2 3 415 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2829 91.8805 % Incorrectly Classified Instances 250 8.1195 % Kappa statistic 0.9053 Mean absolute error 0.0232 Root mean squared error 0.1523 Relative absolute error 9.4728 % Root relative squared error 43.5265 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.913 0.014 0.913 0.913 0.913 0.95 chest 0.909 0.018 0.893 0.909 0.901 0.945 forearm 0.918 0.014 0.914 0.918 0.916 0.952 head 0.982 0.003 0.984 0.982 0.983 0.99 shin 0.943 0.007 0.956 0.943 0.95 0.968 thigh 0.852 0.023 0.858 0.852 0.855 0.914 upperarm 0.914 0.014 0.914 0.914 0.914 0.95 waist Weighted Avg. 0.919 0.014 0.919 0.919 0.919 0.953 === Confusion Matrix === a b c d e f g <-- classified as 401 2 2 0 4 29 1 | a = chest 2 399 8 2 1 1 26 | b = forearm 3 5 405 2 2 19 5 | c = head 0 2 0 431 5 0 1 | d = shin 7 6 2 3 415 4 3 | e = thigh 26 11 22 0 4 375 2 | f = upperarm 0 22 4 0 3 9 403 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2796 90.8382 % Incorrectly Classified Instances 282 9.1618 % Kappa statistic 0.8931 Mean absolute error 0.0262 Root mean squared error 0.1618 Relative absolute error 10.6888 % Root relative squared error 46.2358 % Total Number of Instances 3078 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.923 0.014 0.919 0.923 0.921 0.955 chest 0.872 0.022 0.866 0.872 0.869 0.925 forearm 0.9 0.022 0.872 0.9 0.886 0.939 head 0.973 0.001 0.995 0.973 0.984 0.986 shin 0.959 0.009 0.948 0.959 0.954 0.975 thigh 0.82 0.023 0.857 0.82 0.839 0.899 upperarm 0.912 0.017 0.901 0.912 0.906 0.947 waist Weighted Avg. 0.908 0.015 0.908 0.908 0.908 0.947 === Confusion Matrix === a b c d e f g <-- classified as 406 5 5 0 7 15 2 | a = chest 2 382 25 1 1 4 23 | b = forearm 3 14 396 0 2 20 5 | c = head 0 4 0 427 4 2 2 | d = shin 7 0 1 0 422 7 3 | e = thigh 24 14 24 1 7 361 9 | f = upperarm 0 22 3 0 2 12 402 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2780 90.3184 % Incorrectly Classified Instances 298 9.6816 % Kappa statistic 0.887 Mean absolute error 0.0277 Root mean squared error 0.1663 Relative absolute error 11.2952 % Root relative squared error 47.5294 % Total Number of Instances 3078 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.893 0.014 0.914 0.893 0.903 0.94 chest 0.879 0.03 0.83 0.879 0.854 0.925 forearm 0.911 0.017 0.897 0.911 0.904 0.947 head 0.977 0.004 0.977 0.977 0.977 0.987 shin 0.955 0.007 0.959 0.955 0.957 0.974 thigh 0.823 0.024 0.852 0.823 0.837 0.899 upperarm 0.884 0.017 0.897 0.884 0.89 0.934 waist Weighted Avg. 0.903 0.016 0.904 0.903 0.903 0.944 === Confusion Matrix === a b c d e f g <-- classified as 393 11 3 1 3 26 3 | a = chest 2 385 14 3 4 7 23 | b = forearm 0 16 401 3 1 13 6 | c = head 0 1 1 429 3 1 4 | d = shin 7 2 0 2 420 5 4 | e = thigh 26 18 25 0 4 362 5 | f = upperarm 2 31 3 1 3 11 390 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2799 90.9357 % Incorrectly Classified Instances 279 9.0643 % Kappa statistic 0.8942 Mean absolute error 0.0259 Root mean squared error 0.1609 Relative absolute error 10.5751 % Root relative squared error 45.9892 % Total Number of Instances 3078 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.914 0.014 0.916 0.914 0.915 0.95 chest 0.874 0.02 0.878 0.874 0.876 0.927 forearm 0.898 0.018 0.892 0.898 0.895 0.94 head 0.979 0.004 0.977 0.979 0.978 0.988 shin 0.927 0.008 0.951 0.927 0.939 0.96 thigh 0.85 0.024 0.854 0.85 0.852 0.913 upperarm 0.923 0.017 0.898 0.923 0.911 0.953 waist Weighted Avg. 0.909 0.015 0.909 0.909 0.909 0.947 === Confusion Matrix === a b c d e f g <-- classified as 402 3 1 3 6 24 1 | a = chest 3 383 14 3 3 8 24 | b = forearm 1 15 395 1 1 24 3 | c = head 0 4 0 430 2 0 3 | d = shin 11 7 0 2 408 4 8 | e = thigh 18 8 26 0 7 374 7 | f = upperarm 4 16 7 1 2 4 407 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 1 FOLD: 0 Correctly Classified Instances 2797 90.8412 % Incorrectly Classified Instances 282 9.1588 % Kappa statistic 0.8931 Mean absolute error 0.0262 Root mean squared error 0.1618 Relative absolute error 10.6853 % Root relative squared error 46.2283 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.895 0.011 0.929 0.895 0.912 0.942 chest 0.888 0.02 0.882 0.888 0.885 0.934 forearm 0.911 0.018 0.895 0.911 0.903 0.947 head 0.966 0.004 0.977 0.966 0.971 0.981 shin 0.941 0.011 0.935 0.941 0.938 0.965 thigh 0.83 0.025 0.847 0.83 0.838 0.902 upperarm 0.927 0.018 0.895 0.927 0.911 0.955 waist Weighted Avg. 0.908 0.015 0.909 0.908 0.908 0.947 === Confusion Matrix === a b c d e f g <-- classified as 394 6 2 0 10 24 4 | a = chest 2 390 10 2 5 7 23 | b = forearm 1 12 401 0 3 16 7 | c = head 0 3 1 424 5 3 3 | d = shin 5 2 4 3 414 7 5 | e = thigh 19 17 26 4 3 365 6 | f = upperarm 3 12 4 1 3 9 409 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2802 91.0036 % Incorrectly Classified Instances 277 8.9964 % Kappa statistic 0.895 Mean absolute error 0.0257 Root mean squared error 0.1603 Relative absolute error 10.4958 % Root relative squared error 45.8167 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.886 0.014 0.911 0.886 0.899 0.936 chest 0.882 0.023 0.862 0.882 0.872 0.929 forearm 0.889 0.017 0.897 0.889 0.893 0.936 head 0.961 0.002 0.991 0.961 0.976 0.98 shin 0.959 0.008 0.95 0.959 0.955 0.975 thigh 0.855 0.024 0.855 0.855 0.855 0.915 upperarm 0.939 0.016 0.908 0.939 0.923 0.961 waist Weighted Avg. 0.91 0.015 0.91 0.91 0.91 0.948 === Confusion Matrix === a b c d e f g <-- classified as 390 5 7 1 3 33 1 | a = chest 3 387 13 0 7 7 22 | b = forearm 6 12 391 0 2 18 11 | c = head 1 9 1 422 4 1 1 | d = shin 10 1 1 1 422 0 5 | e = thigh 17 19 20 1 5 376 2 | f = upperarm 1 16 3 1 1 5 414 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2796 90.8087 % Incorrectly Classified Instances 283 9.1913 % Kappa statistic 0.8928 Mean absolute error 0.0263 Root mean squared error 0.1621 Relative absolute error 10.7232 % Root relative squared error 46.3102 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.914 0.012 0.926 0.914 0.92 0.951 chest 0.872 0.023 0.861 0.872 0.867 0.924 forearm 0.927 0.023 0.87 0.927 0.898 0.952 head 0.979 0.005 0.968 0.979 0.974 0.987 shin 0.941 0.007 0.958 0.941 0.95 0.967 thigh 0.809 0.018 0.883 0.809 0.845 0.896 upperarm 0.914 0.019 0.892 0.914 0.903 0.948 waist Weighted Avg. 0.908 0.015 0.908 0.908 0.908 0.946 === Confusion Matrix === a b c d e f g <-- classified as 402 8 3 1 3 22 1 | a = chest 3 383 16 4 4 7 22 | b = forearm 5 7 408 1 0 10 9 | c = head 0 1 2 430 4 0 2 | d = shin 8 4 0 5 414 3 6 | e = thigh 15 16 36 2 6 356 9 | f = upperarm 1 26 4 1 1 5 403 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2812 91.3284 % Incorrectly Classified Instances 267 8.6716 % Kappa statistic 0.8988 Mean absolute error 0.0248 Root mean squared error 0.1574 Relative absolute error 10.1169 % Root relative squared error 44.982 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.893 0.013 0.923 0.893 0.908 0.94 chest 0.868 0.017 0.894 0.868 0.881 0.925 forearm 0.925 0.017 0.902 0.925 0.914 0.954 head 0.97 0.002 0.986 0.97 0.978 0.984 shin 0.968 0.009 0.949 0.968 0.958 0.98 thigh 0.85 0.024 0.856 0.85 0.853 0.913 upperarm 0.918 0.02 0.884 0.918 0.901 0.949 waist Weighted Avg. 0.913 0.014 0.913 0.913 0.913 0.949 === Confusion Matrix === a b c d e f g <-- classified as 393 6 6 1 5 25 4 | a = chest 4 381 11 4 2 9 28 | b = forearm 3 7 407 1 2 12 8 | c = head 1 2 0 426 5 2 3 | d = shin 2 1 0 0 426 7 4 | e = thigh 21 11 23 0 5 374 6 | f = upperarm 2 18 4 0 4 8 405 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2783 90.3865 % Incorrectly Classified Instances 296 9.6135 % Kappa statistic 0.8878 Mean absolute error 0.0275 Root mean squared error 0.1657 Relative absolute error 11.2158 % Root relative squared error 47.3619 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.909 0.014 0.913 0.909 0.911 0.947 chest 0.882 0.016 0.902 0.882 0.892 0.933 forearm 0.925 0.023 0.87 0.925 0.896 0.951 head 0.959 0.003 0.984 0.959 0.971 0.978 shin 0.952 0.011 0.937 0.952 0.945 0.971 thigh 0.818 0.025 0.843 0.818 0.83 0.896 upperarm 0.882 0.02 0.88 0.882 0.881 0.931 waist Weighted Avg. 0.904 0.016 0.904 0.904 0.904 0.944 === Confusion Matrix === a b c d e f g <-- classified as 400 4 2 0 5 26 3 | a = chest 2 387 13 1 3 2 31 | b = forearm 1 6 407 2 1 14 9 | c = head 1 5 2 421 5 3 2 | d = shin 12 2 1 1 419 4 1 | e = thigh 21 9 31 2 10 360 7 | f = upperarm 1 16 12 1 4 18 389 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2772 90.0292 % Incorrectly Classified Instances 307 9.9708 % Kappa statistic 0.8837 Mean absolute error 0.0285 Root mean squared error 0.1688 Relative absolute error 11.6326 % Root relative squared error 48.2339 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.884 0.016 0.903 0.884 0.893 0.934 chest 0.875 0.022 0.867 0.875 0.871 0.926 forearm 0.893 0.025 0.856 0.893 0.874 0.934 head 0.948 0.004 0.974 0.948 0.961 0.972 shin 0.943 0.009 0.943 0.943 0.943 0.967 thigh 0.839 0.024 0.854 0.839 0.846 0.907 upperarm 0.921 0.016 0.908 0.921 0.914 0.953 waist Weighted Avg. 0.9 0.017 0.901 0.9 0.9 0.942 === Confusion Matrix === a b c d e f g <-- classified as 389 8 5 1 5 30 2 | a = chest 4 384 26 3 3 1 18 | b = forearm 3 18 393 1 2 16 7 | c = head 2 6 2 417 9 2 2 | d = shin 7 2 0 4 414 7 5 | e = thigh 24 8 29 2 1 369 7 | f = upperarm 2 17 4 0 5 7 406 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2836 92.1078 % Incorrectly Classified Instances 243 7.8922 % Kappa statistic 0.9079 Mean absolute error 0.0225 Root mean squared error 0.1502 Relative absolute error 9.2075 % Root relative squared error 42.9128 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.923 0.009 0.942 0.923 0.932 0.957 chest 0.882 0.021 0.876 0.882 0.879 0.93 forearm 0.914 0.015 0.91 0.914 0.912 0.949 head 0.989 0.002 0.991 0.989 0.99 0.994 shin 0.952 0.009 0.948 0.952 0.95 0.972 thigh 0.852 0.02 0.878 0.852 0.865 0.916 upperarm 0.937 0.017 0.904 0.937 0.92 0.96 waist Weighted Avg. 0.921 0.013 0.921 0.921 0.921 0.954 === Confusion Matrix === a b c d e f g <-- classified as 406 3 3 0 5 22 1 | a = chest 1 387 17 2 3 7 22 | b = forearm 0 13 403 1 2 17 5 | c = head 0 0 1 435 3 0 1 | d = shin 2 8 0 1 418 2 8 | e = thigh 20 18 15 0 5 374 7 | f = upperarm 2 13 4 0 5 4 413 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2836 92.1378 % Incorrectly Classified Instances 242 7.8622 % Kappa statistic 0.9083 Mean absolute error 0.0225 Root mean squared error 0.1499 Relative absolute error 9.1726 % Root relative squared error 42.8314 % Total Number of Instances 3078 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.913 0.012 0.926 0.913 0.92 0.951 chest 0.9 0.02 0.879 0.9 0.889 0.94 forearm 0.916 0.019 0.89 0.916 0.903 0.949 head 0.993 0.002 0.986 0.993 0.99 0.995 shin 0.954 0.006 0.965 0.954 0.96 0.974 thigh 0.857 0.023 0.863 0.857 0.86 0.917 upperarm 0.916 0.009 0.942 0.916 0.929 0.953 waist Weighted Avg. 0.921 0.013 0.922 0.921 0.921 0.954 === Confusion Matrix === a b c d e f g <-- classified as 401 5 2 0 5 25 1 | a = chest 5 394 15 1 1 8 14 | b = forearm 1 15 404 2 1 16 2 | c = head 0 1 0 437 2 0 0 | d = shin 6 3 2 1 419 4 4 | e = thigh 20 9 28 1 1 377 4 | f = upperarm 0 21 3 1 5 7 404 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2780 90.3184 % Incorrectly Classified Instances 298 9.6816 % Kappa statistic 0.887 Mean absolute error 0.0277 Root mean squared error 0.1663 Relative absolute error 11.2952 % Root relative squared error 47.5294 % Total Number of Instances 3078 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.877 0.014 0.912 0.877 0.894 0.931 chest 0.854 0.022 0.866 0.854 0.86 0.916 forearm 0.911 0.022 0.872 0.911 0.891 0.944 head 0.977 0.003 0.979 0.977 0.978 0.987 shin 0.952 0.008 0.952 0.952 0.952 0.972 thigh 0.832 0.025 0.845 0.832 0.838 0.903 upperarm 0.918 0.018 0.896 0.918 0.907 0.95 waist Weighted Avg. 0.903 0.016 0.903 0.903 0.903 0.944 === Confusion Matrix === a b c d e f g <-- classified as 385 5 5 1 7 34 2 | a = chest 1 374 22 5 3 5 28 | b = forearm 2 10 401 1 0 20 6 | c = head 1 0 1 430 6 0 2 | d = shin 4 5 0 2 419 4 6 | e = thigh 28 15 25 0 3 366 3 | f = upperarm 1 23 6 0 2 4 405 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2810 91.293 % Incorrectly Classified Instances 268 8.707 % Kappa statistic 0.8984 Mean absolute error 0.0249 Root mean squared error 0.1577 Relative absolute error 10.1581 % Root relative squared error 45.0735 % Total Number of Instances 3078 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.891 0.009 0.94 0.891 0.915 0.941 chest 0.87 0.02 0.876 0.87 0.873 0.925 forearm 0.907 0.017 0.901 0.907 0.904 0.945 head 0.982 0.003 0.98 0.982 0.981 0.989 shin 0.952 0.007 0.957 0.952 0.954 0.973 thigh 0.859 0.023 0.861 0.859 0.86 0.918 upperarm 0.93 0.021 0.88 0.93 0.904 0.954 waist Weighted Avg. 0.913 0.015 0.913 0.913 0.913 0.949 === Confusion Matrix === a b c d e f g <-- classified as 391 9 2 3 6 24 4 | a = chest 0 381 18 1 1 7 30 | b = forearm 2 10 399 1 0 22 6 | c = head 1 2 0 432 3 0 2 | d = shin 4 2 2 4 419 2 7 | e = thigh 17 15 18 0 5 378 7 | f = upperarm 1 16 4 0 4 6 410 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 2 FOLD: 0 Correctly Classified Instances 2820 91.5882 % Incorrectly Classified Instances 259 8.4118 % Kappa statistic 0.9019 Mean absolute error 0.024 Root mean squared error 0.155 Relative absolute error 9.8138 % Root relative squared error 44.303 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.911 0.014 0.915 0.911 0.913 0.949 chest 0.9 0.02 0.884 0.9 0.892 0.94 forearm 0.911 0.016 0.905 0.911 0.908 0.948 head 0.984 0.003 0.982 0.984 0.983 0.991 shin 0.961 0.008 0.951 0.961 0.956 0.977 thigh 0.825 0.02 0.871 0.825 0.847 0.902 upperarm 0.918 0.017 0.902 0.918 0.91 0.951 waist Weighted Avg. 0.916 0.014 0.916 0.916 0.916 0.951 === Confusion Matrix === a b c d e f g <-- classified as 400 3 3 2 4 25 2 | a = chest 1 395 13 1 4 5 20 | b = forearm 1 13 401 2 2 11 10 | c = head 0 1 0 433 4 0 2 | d = shin 8 0 0 0 423 5 4 | e = thigh 26 17 23 1 4 363 6 | f = upperarm 1 18 3 2 4 8 405 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2800 90.9386 % Incorrectly Classified Instances 279 9.0614 % Kappa statistic 0.8943 Mean absolute error 0.0259 Root mean squared error 0.1609 Relative absolute error 10.5716 % Root relative squared error 45.9818 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.877 0.014 0.912 0.877 0.894 0.931 chest 0.868 0.016 0.899 0.868 0.883 0.926 forearm 0.911 0.022 0.874 0.911 0.892 0.945 head 0.964 0.002 0.991 0.964 0.977 0.981 shin 0.97 0.008 0.951 0.97 0.961 0.981 thigh 0.841 0.023 0.856 0.841 0.849 0.909 upperarm 0.934 0.02 0.886 0.934 0.909 0.957 waist Weighted Avg. 0.909 0.015 0.91 0.909 0.909 0.947 === Confusion Matrix === a b c d e f g <-- classified as 385 6 4 0 10 30 4 | a = chest 6 381 16 1 1 6 28 | b = forearm 3 14 401 0 1 13 8 | c = head 0 3 2 424 6 2 3 | d = shin 8 1 0 0 427 2 2 | e = thigh 18 10 29 3 2 370 8 | f = upperarm 2 9 7 0 2 9 412 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2818 91.5232 % Incorrectly Classified Instances 261 8.4768 % Kappa statistic 0.9011 Mean absolute error 0.0242 Root mean squared error 0.1556 Relative absolute error 9.8896 % Root relative squared error 44.4738 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.909 0.013 0.921 0.909 0.915 0.948 chest 0.872 0.015 0.905 0.872 0.889 0.929 forearm 0.932 0.02 0.884 0.932 0.907 0.956 head 0.991 0.003 0.982 0.991 0.986 0.994 shin 0.945 0.005 0.967 0.945 0.956 0.97 thigh 0.818 0.022 0.859 0.818 0.838 0.898 upperarm 0.939 0.02 0.888 0.939 0.913 0.96 waist Weighted Avg. 0.915 0.014 0.915 0.915 0.915 0.951 === Confusion Matrix === a b c d e f g <-- classified as 399 3 3 2 2 25 5 | a = chest 1 383 13 2 3 11 26 | b = forearm 2 7 410 0 1 14 6 | c = head 1 0 1 436 1 0 1 | d = shin 8 5 1 2 416 2 6 | e = thigh 21 13 30 2 6 360 8 | f = upperarm 1 12 6 0 1 7 414 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2795 90.7762 % Incorrectly Classified Instances 284 9.2238 % Kappa statistic 0.8924 Mean absolute error 0.0264 Root mean squared error 0.1623 Relative absolute error 10.7611 % Root relative squared error 46.392 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.916 0.013 0.924 0.916 0.92 0.952 chest 0.859 0.016 0.9 0.859 0.879 0.921 forearm 0.918 0.021 0.88 0.918 0.899 0.949 head 0.982 0.004 0.975 0.982 0.978 0.989 shin 0.945 0.009 0.945 0.945 0.945 0.968 thigh 0.83 0.024 0.851 0.83 0.84 0.903 upperarm 0.905 0.021 0.879 0.905 0.892 0.942 waist Weighted Avg. 0.908 0.015 0.908 0.908 0.908 0.946 === Confusion Matrix === a b c d e f g <-- classified as 403 0 1 2 4 29 1 | a = chest 2 377 21 3 2 7 27 | b = forearm 1 6 404 0 2 18 9 | c = head 2 0 1 432 3 1 1 | d = shin 4 3 2 4 415 1 10 | e = thigh 21 13 23 2 9 365 7 | f = upperarm 3 20 7 0 4 8 399 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2821 91.6207 % Incorrectly Classified Instances 258 8.3793 % Kappa statistic 0.9022 Mean absolute error 0.0239 Root mean squared error 0.1547 Relative absolute error 9.7759 % Root relative squared error 44.2174 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.909 0.009 0.943 0.909 0.926 0.95 chest 0.861 0.017 0.892 0.861 0.876 0.922 forearm 0.918 0.019 0.892 0.918 0.905 0.95 head 0.975 0.005 0.973 0.975 0.974 0.985 shin 0.964 0.01 0.94 0.964 0.952 0.977 thigh 0.855 0.018 0.889 0.855 0.871 0.918 upperarm 0.932 0.02 0.886 0.932 0.908 0.956 waist Weighted Avg. 0.916 0.014 0.916 0.916 0.916 0.951 === Confusion Matrix === a b c d e f g <-- classified as 400 7 7 0 6 19 1 | a = chest 0 378 12 5 7 5 32 | b = forearm 2 9 404 2 0 16 7 | c = head 0 0 1 429 7 1 2 | d = shin 4 1 0 4 423 2 5 | e = thigh 18 10 22 1 7 376 6 | f = upperarm 0 19 7 0 0 4 411 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2781 90.3215 % Incorrectly Classified Instances 298 9.6785 % Kappa statistic 0.8871 Mean absolute error 0.0277 Root mean squared error 0.1663 Relative absolute error 11.2915 % Root relative squared error 47.5217 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.88 0.016 0.9 0.88 0.89 0.932 chest 0.856 0.019 0.883 0.856 0.869 0.919 forearm 0.898 0.019 0.886 0.898 0.892 0.939 head 0.975 0.004 0.977 0.975 0.976 0.986 shin 0.936 0.008 0.954 0.936 0.945 0.964 thigh 0.832 0.027 0.836 0.832 0.834 0.902 upperarm 0.946 0.02 0.889 0.946 0.916 0.963 waist Weighted Avg. 0.903 0.016 0.903 0.903 0.903 0.944 === Confusion Matrix === a b c d e f g <-- classified as 387 6 4 2 7 31 3 | a = chest 3 376 19 2 5 10 24 | b = forearm 4 14 396 1 0 21 5 | c = head 0 1 1 428 2 2 5 | d = shin 9 1 3 4 411 4 7 | e = thigh 26 13 23 1 3 366 8 | f = upperarm 1 15 1 0 3 4 417 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2817 91.4907 % Incorrectly Classified Instances 262 8.5093 % Kappa statistic 0.9007 Mean absolute error 0.0243 Root mean squared error 0.1559 Relative absolute error 9.9275 % Root relative squared error 44.5589 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.905 0.012 0.928 0.905 0.916 0.946 chest 0.879 0.016 0.9 0.879 0.889 0.931 forearm 0.909 0.023 0.868 0.909 0.888 0.943 head 0.979 0.004 0.977 0.979 0.978 0.988 shin 0.957 0.006 0.963 0.957 0.96 0.975 thigh 0.85 0.022 0.867 0.85 0.858 0.914 upperarm 0.925 0.017 0.903 0.925 0.914 0.954 waist Weighted Avg. 0.915 0.014 0.915 0.915 0.915 0.95 === Confusion Matrix === a b c d e f g <-- classified as 398 4 3 1 5 25 4 | a = chest 1 386 19 4 2 4 23 | b = forearm 6 7 401 0 1 19 7 | c = head 1 2 1 430 4 1 0 | d = shin 4 2 1 5 421 3 4 | e = thigh 18 10 30 0 2 373 6 | f = upperarm 1 18 7 0 2 5 408 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2781 90.3509 % Incorrectly Classified Instances 297 9.6491 % Kappa statistic 0.8874 Mean absolute error 0.0276 Root mean squared error 0.166 Relative absolute error 11.2573 % Root relative squared error 47.4496 % Total Number of Instances 3078 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.891 0.017 0.899 0.891 0.895 0.937 chest 0.886 0.021 0.876 0.886 0.881 0.933 forearm 0.891 0.022 0.873 0.891 0.882 0.935 head 0.959 0.004 0.975 0.959 0.967 0.977 shin 0.95 0.007 0.957 0.95 0.953 0.971 thigh 0.809 0.025 0.846 0.809 0.827 0.892 upperarm 0.939 0.017 0.9 0.939 0.919 0.961 waist Weighted Avg. 0.904 0.016 0.904 0.904 0.903 0.944 === Confusion Matrix === a b c d e f g <-- classified as 392 7 1 2 6 29 3 | a = chest 6 388 18 2 1 8 15 | b = forearm 4 13 392 3 1 19 8 | c = head 0 6 2 421 6 1 3 | d = shin 5 2 2 0 418 5 8 | e = thigh 28 13 27 4 3 356 9 | f = upperarm 1 14 7 0 2 3 414 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2812 91.358 % Incorrectly Classified Instances 266 8.642 % Kappa statistic 0.8992 Mean absolute error 0.0247 Root mean squared error 0.1571 Relative absolute error 10.0823 % Root relative squared error 44.905 % Total Number of Instances 3078 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.902 0.012 0.925 0.902 0.914 0.945 chest 0.877 0.014 0.91 0.877 0.893 0.931 forearm 0.925 0.016 0.904 0.925 0.915 0.954 head 0.968 0.002 0.986 0.968 0.977 0.983 shin 0.934 0.009 0.945 0.934 0.939 0.962 thigh 0.857 0.024 0.857 0.857 0.857 0.916 upperarm 0.932 0.023 0.873 0.932 0.901 0.955 waist Weighted Avg. 0.914 0.014 0.914 0.914 0.914 0.95 === Confusion Matrix === a b c d e f g <-- classified as 397 4 6 0 5 26 2 | a = chest 1 384 13 3 5 5 27 | b = forearm 6 6 407 0 1 16 4 | c = head 1 1 0 425 5 2 5 | d = shin 8 3 2 1 411 4 11 | e = thigh 15 12 18 1 6 377 11 | f = upperarm 1 12 4 1 2 10 411 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2813 91.3905 % Incorrectly Classified Instances 265 8.6095 % Kappa statistic 0.8996 Mean absolute error 0.0246 Root mean squared error 0.1568 Relative absolute error 10.0444 % Root relative squared error 44.8205 % Total Number of Instances 3078 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.9 0.013 0.923 0.9 0.911 0.944 chest 0.87 0.015 0.905 0.87 0.887 0.927 forearm 0.934 0.024 0.865 0.934 0.898 0.955 head 0.973 0.002 0.988 0.973 0.98 0.985 shin 0.943 0.008 0.954 0.943 0.949 0.968 thigh 0.861 0.021 0.871 0.861 0.866 0.92 upperarm 0.916 0.018 0.896 0.916 0.906 0.949 waist Weighted Avg. 0.914 0.014 0.915 0.914 0.914 0.95 === Confusion Matrix === a b c d e f g <-- classified as 396 4 6 0 2 27 5 | a = chest 3 381 23 1 3 3 24 | b = forearm 0 8 411 1 3 12 5 | c = head 1 1 1 427 5 2 2 | d = shin 9 5 2 1 415 5 3 | e = thigh 19 4 27 0 3 379 8 | f = upperarm 1 18 5 2 4 7 404 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 3 FOLD: 0 Correctly Classified Instances 2812 91.3284 % Incorrectly Classified Instances 267 8.6716 % Kappa statistic 0.8988 Mean absolute error 0.0248 Root mean squared error 0.1574 Relative absolute error 10.1169 % Root relative squared error 44.982 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.884 0.012 0.926 0.884 0.905 0.936 chest 0.877 0.016 0.904 0.877 0.89 0.931 forearm 0.939 0.019 0.894 0.939 0.916 0.96 head 0.977 0.004 0.977 0.977 0.977 0.987 shin 0.959 0.008 0.953 0.959 0.956 0.976 thigh 0.823 0.023 0.854 0.823 0.838 0.9 upperarm 0.934 0.02 0.886 0.934 0.909 0.957 waist Weighted Avg. 0.913 0.014 0.913 0.913 0.913 0.949 === Confusion Matrix === a b c d e f g <-- classified as 389 5 3 3 4 33 3 | a = chest 2 385 12 6 5 4 25 | b = forearm 1 5 413 0 2 16 3 | c = head 1 0 1 429 5 1 2 | d = shin 4 2 0 0 422 3 9 | e = thigh 23 13 28 1 2 362 11 | f = upperarm 0 16 5 0 3 5 412 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2804 91.0685 % Incorrectly Classified Instances 275 8.9315 % Kappa statistic 0.8958 Mean absolute error 0.0255 Root mean squared error 0.1597 Relative absolute error 10.4201 % Root relative squared error 45.651 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.891 0.013 0.92 0.891 0.905 0.939 chest 0.879 0.019 0.883 0.879 0.881 0.93 forearm 0.907 0.018 0.895 0.907 0.901 0.945 head 0.975 0 0.998 0.975 0.986 0.987 shin 0.948 0.008 0.952 0.948 0.95 0.97 thigh 0.859 0.024 0.855 0.859 0.857 0.917 upperarm 0.916 0.022 0.876 0.916 0.896 0.947 waist Weighted Avg. 0.911 0.015 0.911 0.911 0.911 0.948 === Confusion Matrix === a b c d e f g <-- classified as 392 4 3 0 8 29 4 | a = chest 1 386 12 1 2 4 33 | b = forearm 4 8 399 0 1 19 9 | c = head 0 1 2 428 5 1 2 | d = shin 7 4 2 0 417 5 5 | e = thigh 19 14 22 0 3 378 4 | f = upperarm 3 20 6 0 2 6 404 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2816 91.4583 % Incorrectly Classified Instances 263 8.5417 % Kappa statistic 0.9003 Mean absolute error 0.0244 Root mean squared error 0.1562 Relative absolute error 9.9654 % Root relative squared error 44.6438 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.893 0.013 0.92 0.893 0.907 0.94 chest 0.85 0.016 0.899 0.85 0.874 0.917 forearm 0.893 0.017 0.899 0.893 0.896 0.938 head 0.984 0.003 0.982 0.984 0.983 0.991 shin 0.968 0.007 0.957 0.968 0.963 0.98 thigh 0.861 0.022 0.869 0.861 0.865 0.92 upperarm 0.952 0.022 0.877 0.952 0.913 0.965 waist Weighted Avg. 0.915 0.014 0.915 0.915 0.914 0.95 === Confusion Matrix === a b c d e f g <-- classified as 393 7 3 3 5 24 5 | a = chest 3 373 19 1 3 9 31 | b = forearm 4 12 393 1 1 18 11 | c = head 0 3 0 432 2 0 2 | d = shin 4 0 0 2 426 4 4 | e = thigh 22 11 17 0 5 379 6 | f = upperarm 1 9 5 1 3 2 420 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2804 91.0685 % Incorrectly Classified Instances 275 8.9315 % Kappa statistic 0.8958 Mean absolute error 0.0255 Root mean squared error 0.1597 Relative absolute error 10.4201 % Root relative squared error 45.651 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.898 0.013 0.919 0.898 0.908 0.942 chest 0.868 0.022 0.868 0.868 0.868 0.923 forearm 0.93 0.02 0.885 0.93 0.907 0.955 head 0.968 0.002 0.991 0.968 0.979 0.983 shin 0.943 0.008 0.95 0.943 0.946 0.967 thigh 0.827 0.018 0.883 0.827 0.854 0.904 upperarm 0.941 0.021 0.883 0.941 0.911 0.96 waist Weighted Avg. 0.911 0.015 0.911 0.911 0.911 0.948 === Confusion Matrix === a b c d e f g <-- classified as 395 8 6 1 4 23 3 | a = chest 5 381 16 0 6 6 25 | b = forearm 2 10 409 0 1 12 6 | c = head 0 4 0 426 7 1 2 | d = shin 5 4 1 2 415 2 11 | e = thigh 22 14 28 1 3 363 8 | f = upperarm 1 18 2 0 1 4 415 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2830 91.913 % Incorrectly Classified Instances 249 8.087 % Kappa statistic 0.9057 Mean absolute error 0.0231 Root mean squared error 0.152 Relative absolute error 9.4349 % Root relative squared error 43.4393 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.897 0.013 0.921 0.897 0.909 0.942 chest 0.886 0.018 0.89 0.886 0.888 0.934 forearm 0.932 0.019 0.893 0.932 0.912 0.957 head 0.959 0.003 0.984 0.959 0.971 0.978 shin 0.968 0.005 0.968 0.968 0.968 0.981 thigh 0.875 0.022 0.869 0.875 0.872 0.927 upperarm 0.916 0.015 0.912 0.916 0.914 0.951 waist Weighted Avg. 0.919 0.013 0.92 0.919 0.919 0.953 === Confusion Matrix === a b c d e f g <-- classified as 394 8 7 0 3 23 4 | a = chest 2 389 16 4 2 8 18 | b = forearm 4 10 410 1 0 10 5 | c = head 2 3 3 422 4 5 1 | d = shin 3 1 0 1 426 5 4 | e = thigh 22 6 18 1 1 385 7 | f = upperarm 1 20 5 0 4 7 404 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2815 91.4258 % Incorrectly Classified Instances 264 8.5742 % Kappa statistic 0.9 Mean absolute error 0.0245 Root mean squared error 0.1565 Relative absolute error 10.0033 % Root relative squared error 44.7286 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.918 0.018 0.894 0.918 0.906 0.95 chest 0.875 0.013 0.919 0.875 0.896 0.931 forearm 0.916 0.016 0.906 0.916 0.911 0.95 head 0.973 0.003 0.984 0.973 0.978 0.985 shin 0.941 0.008 0.952 0.941 0.946 0.966 thigh 0.836 0.02 0.876 0.836 0.856 0.908 upperarm 0.941 0.023 0.874 0.941 0.906 0.959 waist Weighted Avg. 0.914 0.014 0.915 0.914 0.914 0.95 === Confusion Matrix === a b c d e f g <-- classified as 403 5 4 1 4 20 2 | a = chest 1 384 17 1 1 5 30 | b = forearm 6 4 403 1 1 14 11 | c = head 3 1 0 428 5 0 3 | d = shin 10 2 1 2 414 5 6 | e = thigh 25 12 19 2 6 368 8 | f = upperarm 3 10 1 0 4 8 415 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2813 91.3608 % Incorrectly Classified Instances 266 8.6392 % Kappa statistic 0.8992 Mean absolute error 0.0247 Root mean squared error 0.1571 Relative absolute error 10.079 % Root relative squared error 44.8977 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.927 0.011 0.936 0.927 0.931 0.958 chest 0.877 0.017 0.893 0.877 0.885 0.93 forearm 0.923 0.023 0.869 0.923 0.895 0.95 head 0.973 0.004 0.977 0.973 0.975 0.984 shin 0.934 0.008 0.954 0.934 0.944 0.963 thigh 0.827 0.017 0.888 0.827 0.856 0.905 upperarm 0.934 0.021 0.882 0.934 0.907 0.957 waist Weighted Avg. 0.914 0.014 0.914 0.914 0.913 0.95 === Confusion Matrix === a b c d e f g <-- classified as 407 2 5 0 5 19 1 | a = chest 3 385 16 3 2 2 28 | b = forearm 0 12 406 2 2 10 8 | c = head 0 4 0 428 5 1 2 | d = shin 10 3 1 3 411 4 8 | e = thigh 14 13 34 1 6 364 8 | f = upperarm 1 12 5 1 0 10 412 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2804 91.0981 % Incorrectly Classified Instances 274 8.9019 % Kappa statistic 0.8961 Mean absolute error 0.0254 Root mean squared error 0.1595 Relative absolute error 10.3855 % Root relative squared error 45.5753 % Total Number of Instances 3078 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.889 0.012 0.927 0.889 0.907 0.938 chest 0.897 0.018 0.891 0.897 0.894 0.94 forearm 0.905 0.019 0.89 0.905 0.897 0.943 head 0.977 0.005 0.971 0.977 0.974 0.986 shin 0.95 0.007 0.959 0.95 0.954 0.972 thigh 0.83 0.027 0.835 0.83 0.832 0.901 upperarm 0.93 0.016 0.905 0.93 0.917 0.957 waist Weighted Avg. 0.911 0.015 0.911 0.911 0.911 0.948 === Confusion Matrix === a b c d e f g <-- classified as 391 3 1 1 3 35 6 | a = chest 1 393 15 4 2 8 15 | b = forearm 3 12 398 1 1 18 7 | c = head 2 1 1 430 3 1 2 | d = shin 4 6 0 5 417 3 4 | e = thigh 19 8 30 2 7 365 9 | f = upperarm 2 18 2 0 2 7 410 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2790 90.6433 % Incorrectly Classified Instances 288 9.3567 % Kappa statistic 0.8908 Mean absolute error 0.0267 Root mean squared error 0.1635 Relative absolute error 10.9162 % Root relative squared error 46.7251 % Total Number of Instances 3078 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.916 0.013 0.922 0.916 0.919 0.952 chest 0.861 0.021 0.871 0.861 0.866 0.92 forearm 0.898 0.023 0.867 0.898 0.882 0.937 head 0.982 0.002 0.986 0.982 0.984 0.99 shin 0.952 0.007 0.959 0.952 0.955 0.973 thigh 0.83 0.023 0.857 0.83 0.843 0.903 upperarm 0.907 0.02 0.885 0.907 0.896 0.944 waist Weighted Avg. 0.906 0.016 0.907 0.906 0.906 0.945 === Confusion Matrix === a b c d e f g <-- classified as 403 6 1 0 3 25 2 | a = chest 2 377 21 2 4 6 26 | b = forearm 3 11 396 1 1 19 10 | c = head 0 3 2 431 2 0 1 | d = shin 7 2 1 2 418 3 6 | e = thigh 21 16 27 0 4 365 7 | f = upperarm 1 18 9 1 4 8 400 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2780 90.3184 % Incorrectly Classified Instances 298 9.6816 % Kappa statistic 0.887 Mean absolute error 0.0277 Root mean squared error 0.1663 Relative absolute error 11.2952 % Root relative squared error 47.5294 % Total Number of Instances 3078 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.891 0.018 0.893 0.891 0.892 0.937 chest 0.863 0.018 0.889 0.863 0.876 0.923 forearm 0.896 0.019 0.888 0.896 0.892 0.938 head 0.966 0.004 0.977 0.966 0.971 0.981 shin 0.945 0.012 0.93 0.945 0.938 0.967 thigh 0.836 0.024 0.856 0.836 0.846 0.906 upperarm 0.925 0.019 0.889 0.925 0.907 0.953 waist Weighted Avg. 0.903 0.016 0.903 0.903 0.903 0.944 === Confusion Matrix === a b c d e f g <-- classified as 392 3 5 0 11 26 3 | a = chest 2 378 19 1 3 9 26 | b = forearm 2 15 395 2 3 14 10 | c = head 0 1 1 424 7 1 5 | d = shin 11 2 1 2 415 5 3 | e = thigh 29 13 20 4 2 368 4 | f = upperarm 3 13 4 1 5 7 408 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 4 FOLD: 0 Correctly Classified Instances 2785 90.4514 % Incorrectly Classified Instances 294 9.5486 % Kappa statistic 0.8886 Mean absolute error 0.0273 Root mean squared error 0.1652 Relative absolute error 11.14 % Root relative squared error 47.2017 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.9 0.018 0.892 0.9 0.896 0.941 chest 0.89 0.02 0.88 0.89 0.885 0.935 forearm 0.916 0.022 0.876 0.916 0.896 0.947 head 0.966 0.002 0.986 0.966 0.976 0.982 shin 0.955 0.011 0.935 0.955 0.945 0.972 thigh 0.795 0.02 0.866 0.795 0.829 0.887 upperarm 0.909 0.018 0.895 0.909 0.902 0.946 waist Weighted Avg. 0.905 0.016 0.904 0.905 0.904 0.944 === Confusion Matrix === a b c d e f g <-- classified as 396 1 4 1 8 24 6 | a = chest 3 390 14 1 6 4 20 | b = forearm 1 9 404 1 3 15 8 | c = head 0 3 4 424 6 1 1 | d = shin 10 0 1 0 420 3 6 | e = thigh 33 18 30 1 2 350 6 | f = upperarm 1 22 4 2 4 7 401 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2792 90.6788 % Incorrectly Classified Instances 287 9.3212 % Kappa statistic 0.8913 Mean absolute error 0.0266 Root mean squared error 0.1632 Relative absolute error 10.8747 % Root relative squared error 46.6364 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.907 0.013 0.924 0.907 0.915 0.947 chest 0.854 0.023 0.86 0.854 0.857 0.915 forearm 0.927 0.021 0.881 0.927 0.904 0.953 head 0.973 0.001 0.993 0.973 0.983 0.986 shin 0.961 0.01 0.942 0.961 0.952 0.976 thigh 0.818 0.021 0.865 0.818 0.841 0.898 upperarm 0.907 0.02 0.883 0.907 0.895 0.943 waist Weighted Avg. 0.907 0.016 0.907 0.907 0.907 0.946 === Confusion Matrix === a b c d e f g <-- classified as 399 9 3 0 8 19 2 | a = chest 1 374 18 1 6 10 28 | b = forearm 4 12 409 1 0 10 5 | c = head 1 0 0 427 5 2 4 | d = shin 4 4 0 0 423 3 6 | e = thigh 22 16 30 1 3 360 8 | f = upperarm 1 20 4 0 4 12 400 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2801 90.9711 % Incorrectly Classified Instances 278 9.0289 % Kappa statistic 0.8947 Mean absolute error 0.0258 Root mean squared error 0.1606 Relative absolute error 10.5337 % Root relative squared error 45.8993 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.92 0.013 0.924 0.92 0.922 0.954 chest 0.856 0.019 0.885 0.856 0.87 0.919 forearm 0.911 0.023 0.868 0.911 0.889 0.944 head 0.973 0.003 0.982 0.973 0.977 0.985 shin 0.952 0.007 0.959 0.952 0.956 0.973 thigh 0.82 0.021 0.868 0.82 0.843 0.9 upperarm 0.934 0.02 0.884 0.934 0.908 0.957 waist Weighted Avg. 0.91 0.015 0.91 0.91 0.91 0.947 === Confusion Matrix === a b c d e f g <-- classified as 404 2 6 1 4 22 0 | a = chest 1 376 17 1 3 11 30 | b = forearm 2 12 401 1 0 13 11 | c = head 0 4 0 428 4 1 3 | d = shin 11 2 0 1 419 3 4 | e = thigh 18 12 34 4 5 361 6 | f = upperarm 1 17 4 0 2 5 412 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2772 90.0292 % Incorrectly Classified Instances 307 9.9708 % Kappa statistic 0.8837 Mean absolute error 0.0285 Root mean squared error 0.1688 Relative absolute error 11.6326 % Root relative squared error 48.2339 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.9 0.01 0.938 0.9 0.919 0.945 chest 0.847 0.023 0.857 0.847 0.852 0.912 forearm 0.891 0.022 0.871 0.891 0.881 0.934 head 0.973 0.006 0.966 0.973 0.969 0.984 shin 0.939 0.009 0.945 0.939 0.942 0.965 thigh 0.859 0.028 0.838 0.859 0.848 0.916 upperarm 0.893 0.019 0.889 0.893 0.891 0.937 waist Weighted Avg. 0.9 0.017 0.901 0.9 0.9 0.942 === Confusion Matrix === a b c d e f g <-- classified as 395 7 2 1 2 29 3 | a = chest 1 372 22 8 5 6 25 | b = forearm 3 14 392 1 1 20 9 | c = head 0 3 2 428 6 1 0 | d = shin 7 3 1 3 413 5 8 | e = thigh 12 16 20 2 8 378 4 | f = upperarm 3 19 11 0 2 12 394 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2793 90.7113 % Incorrectly Classified Instances 286 9.2887 % Kappa statistic 0.8916 Mean absolute error 0.0265 Root mean squared error 0.1629 Relative absolute error 10.8369 % Root relative squared error 46.555 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.916 0.017 0.897 0.916 0.906 0.949 chest 0.879 0.018 0.889 0.879 0.884 0.931 forearm 0.889 0.021 0.877 0.889 0.883 0.934 head 0.97 0.004 0.977 0.97 0.974 0.983 shin 0.955 0.008 0.955 0.955 0.955 0.973 thigh 0.827 0.026 0.841 0.827 0.834 0.901 upperarm 0.914 0.014 0.914 0.914 0.914 0.95 waist Weighted Avg. 0.907 0.015 0.907 0.907 0.907 0.946 === Confusion Matrix === a b c d e f g <-- classified as 402 6 3 0 4 23 1 | a = chest 4 386 14 5 3 7 20 | b = forearm 5 9 391 2 2 26 5 | c = head 1 2 3 427 5 1 1 | d = shin 6 3 0 1 420 5 5 | e = thigh 26 11 29 1 3 364 6 | f = upperarm 4 17 6 1 3 7 403 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2838 92.1728 % Incorrectly Classified Instances 241 7.8272 % Kappa statistic 0.9087 Mean absolute error 0.0224 Root mean squared error 0.1495 Relative absolute error 9.1318 % Root relative squared error 42.7358 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.911 0.01 0.937 0.911 0.924 0.951 chest 0.9 0.016 0.902 0.9 0.901 0.942 forearm 0.939 0.018 0.898 0.939 0.918 0.96 head 0.973 0.002 0.988 0.973 0.981 0.985 shin 0.945 0.008 0.952 0.945 0.949 0.969 thigh 0.873 0.023 0.865 0.873 0.869 0.925 upperarm 0.912 0.014 0.914 0.912 0.913 0.949 waist Weighted Avg. 0.922 0.013 0.922 0.922 0.922 0.954 === Confusion Matrix === a b c d e f g <-- classified as 401 5 2 0 3 28 1 | a = chest 0 395 12 2 3 5 22 | b = forearm 0 5 413 0 2 13 7 | c = head 1 4 0 428 4 1 2 | d = shin 9 4 2 2 415 5 2 | e = thigh 17 7 21 1 6 384 4 | f = upperarm 0 18 10 0 3 8 402 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2807 91.166 % Incorrectly Classified Instances 272 8.834 % Kappa statistic 0.8969 Mean absolute error 0.0252 Root mean squared error 0.1589 Relative absolute error 10.3064 % Root relative squared error 45.4013 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.882 0.015 0.909 0.882 0.895 0.934 chest 0.859 0.016 0.9 0.859 0.879 0.921 forearm 0.93 0.024 0.867 0.93 0.897 0.953 head 0.98 0.002 0.991 0.98 0.985 0.989 shin 0.952 0.01 0.939 0.952 0.946 0.971 thigh 0.855 0.023 0.858 0.855 0.856 0.916 upperarm 0.925 0.013 0.921 0.925 0.923 0.956 waist Weighted Avg. 0.912 0.015 0.912 0.912 0.912 0.948 === Confusion Matrix === a b c d e f g <-- classified as 388 4 4 1 9 33 1 | a = chest 2 377 28 0 6 5 21 | b = forearm 3 4 409 0 1 16 7 | c = head 2 2 0 431 5 0 0 | d = shin 5 5 4 2 418 4 1 | e = thigh 25 11 19 1 3 376 5 | f = upperarm 2 16 8 0 3 4 408 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2805 91.1306 % Incorrectly Classified Instances 273 8.8694 % Kappa statistic 0.8965 Mean absolute error 0.0253 Root mean squared error 0.1592 Relative absolute error 10.3476 % Root relative squared error 45.492 % Total Number of Instances 3078 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.9 0.014 0.915 0.9 0.907 0.943 chest 0.875 0.021 0.873 0.875 0.874 0.927 forearm 0.92 0.019 0.89 0.92 0.905 0.951 head 0.973 0.003 0.979 0.973 0.976 0.985 shin 0.95 0.008 0.954 0.95 0.952 0.971 thigh 0.859 0.022 0.865 0.859 0.862 0.918 upperarm 0.902 0.016 0.905 0.902 0.904 0.943 waist Weighted Avg. 0.911 0.015 0.911 0.911 0.911 0.948 === Confusion Matrix === a b c d e f g <-- classified as 396 8 5 1 4 21 5 | a = chest 5 384 15 0 1 11 23 | b = forearm 2 11 405 1 0 16 5 | c = head 2 3 2 427 3 0 2 | d = shin 8 3 1 4 417 2 4 | e = thigh 18 10 24 1 6 378 3 | f = upperarm 2 21 3 2 6 9 398 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2809 91.2606 % Incorrectly Classified Instances 269 8.7394 % Kappa statistic 0.898 Mean absolute error 0.025 Root mean squared error 0.158 Relative absolute error 10.196 % Root relative squared error 45.1575 % Total Number of Instances 3078 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.893 0.012 0.927 0.893 0.91 0.941 chest 0.877 0.02 0.879 0.877 0.878 0.928 forearm 0.893 0.019 0.885 0.893 0.889 0.937 head 0.982 0.001 0.995 0.982 0.989 0.991 shin 0.945 0.009 0.943 0.945 0.944 0.968 thigh 0.847 0.022 0.863 0.847 0.855 0.913 upperarm 0.95 0.018 0.897 0.95 0.923 0.966 waist Weighted Avg. 0.913 0.015 0.913 0.913 0.913 0.949 === Confusion Matrix === a b c d e f g <-- classified as 393 8 4 0 6 28 1 | a = chest 3 385 16 0 3 6 26 | b = forearm 5 13 393 1 4 16 8 | c = head 0 1 1 431 5 0 1 | d = shin 3 6 1 1 416 5 8 | e = thigh 20 9 27 0 7 372 4 | f = upperarm 0 16 2 0 0 4 419 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2828 91.8778 % Incorrectly Classified Instances 250 8.1222 % Kappa statistic 0.9052 Mean absolute error 0.0232 Root mean squared error 0.1523 Relative absolute error 9.4759 % Root relative squared error 43.5336 % Total Number of Instances 3078 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.889 0.011 0.931 0.889 0.909 0.939 chest 0.888 0.016 0.905 0.888 0.896 0.936 forearm 0.918 0.017 0.898 0.918 0.908 0.95 head 0.97 0.004 0.977 0.97 0.974 0.983 shin 0.95 0.006 0.961 0.95 0.955 0.972 thigh 0.864 0.022 0.866 0.864 0.865 0.921 upperarm 0.952 0.018 0.897 0.952 0.924 0.967 waist Weighted Avg. 0.919 0.014 0.919 0.919 0.919 0.953 === Confusion Matrix === a b c d e f g <-- classified as 391 6 8 2 4 28 1 | a = chest 3 389 16 3 1 4 22 | b = forearm 4 10 404 1 1 12 8 | c = head 0 0 0 426 4 4 5 | d = shin 6 1 1 4 418 7 3 | e = thigh 15 12 20 0 4 380 9 | f = upperarm 1 12 1 0 3 4 420 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 5 FOLD: 0 Correctly Classified Instances 2820 91.5882 % Incorrectly Classified Instances 259 8.4118 % Kappa statistic 0.9019 Mean absolute error 0.024 Root mean squared error 0.155 Relative absolute error 9.8138 % Root relative squared error 44.303 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.902 0.011 0.932 0.902 0.917 0.946 chest 0.879 0.02 0.877 0.879 0.878 0.929 forearm 0.927 0.016 0.907 0.927 0.917 0.956 head 0.98 0.004 0.977 0.98 0.978 0.988 shin 0.952 0.01 0.939 0.952 0.946 0.971 thigh 0.845 0.021 0.871 0.845 0.858 0.912 upperarm 0.925 0.016 0.907 0.925 0.916 0.955 waist Weighted Avg. 0.916 0.014 0.916 0.916 0.916 0.951 === Confusion Matrix === a b c d e f g <-- classified as 397 7 3 2 5 23 3 | a = chest 3 385 14 4 4 5 23 | b = forearm 3 10 408 0 1 11 7 | c = head 0 0 1 431 5 0 3 | d = shin 3 3 1 4 419 7 3 | e = thigh 19 18 22 0 6 372 3 | f = upperarm 1 16 1 0 6 9 408 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2801 90.9711 % Incorrectly Classified Instances 278 9.0289 % Kappa statistic 0.8947 Mean absolute error 0.0258 Root mean squared error 0.1606 Relative absolute error 10.5337 % Root relative squared error 45.8993 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.905 0.014 0.915 0.905 0.91 0.945 chest 0.865 0.019 0.883 0.865 0.874 0.923 forearm 0.925 0.018 0.897 0.925 0.911 0.954 head 0.982 0.003 0.984 0.982 0.983 0.99 shin 0.936 0.009 0.945 0.936 0.941 0.964 thigh 0.843 0.024 0.853 0.843 0.848 0.909 upperarm 0.912 0.019 0.891 0.912 0.901 0.946 waist Weighted Avg. 0.91 0.015 0.91 0.91 0.91 0.947 === Confusion Matrix === a b c d e f g <-- classified as 398 6 3 1 4 26 2 | a = chest 1 379 14 1 1 14 28 | b = forearm 0 11 408 1 5 10 6 | c = head 0 2 1 432 3 1 1 | d = shin 12 2 0 4 411 5 5 | e = thigh 24 7 25 0 6 371 7 | f = upperarm 0 22 4 0 5 8 402 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2791 90.6463 % Incorrectly Classified Instances 288 9.3537 % Kappa statistic 0.8909 Mean absolute error 0.0267 Root mean squared error 0.1635 Relative absolute error 10.9126 % Root relative squared error 46.7175 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.893 0.015 0.91 0.893 0.901 0.939 chest 0.881 0.017 0.894 0.881 0.887 0.932 forearm 0.912 0.022 0.876 0.912 0.893 0.945 head 0.97 0.002 0.986 0.97 0.978 0.984 shin 0.941 0.01 0.939 0.941 0.94 0.965 thigh 0.82 0.024 0.851 0.82 0.836 0.898 upperarm 0.927 0.019 0.891 0.927 0.909 0.954 waist Weighted Avg. 0.906 0.016 0.907 0.906 0.906 0.945 === Confusion Matrix === a b c d e f g <-- classified as 393 6 5 0 8 27 1 | a = chest 1 386 14 2 4 5 26 | b = forearm 3 11 402 2 1 13 9 | c = head 1 2 0 427 6 2 2 | d = shin 8 4 0 1 413 9 4 | e = thigh 25 8 31 0 7 361 8 | f = upperarm 1 15 7 1 1 7 409 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2786 90.4839 % Incorrectly Classified Instances 293 9.5161 % Kappa statistic 0.889 Mean absolute error 0.0272 Root mean squared error 0.1649 Relative absolute error 11.1021 % Root relative squared error 47.1213 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.898 0.017 0.9 0.898 0.899 0.941 chest 0.877 0.019 0.883 0.877 0.88 0.929 forearm 0.9 0.023 0.865 0.9 0.882 0.938 head 0.975 0.005 0.971 0.975 0.973 0.985 shin 0.959 0.008 0.95 0.959 0.955 0.975 thigh 0.82 0.025 0.843 0.82 0.832 0.898 upperarm 0.905 0.013 0.921 0.905 0.913 0.946 waist Weighted Avg. 0.905 0.016 0.905 0.905 0.905 0.944 === Confusion Matrix === a b c d e f g <-- classified as 395 3 3 2 5 28 4 | a = chest 3 385 20 4 5 8 14 | b = forearm 3 13 396 0 0 23 5 | c = head 0 3 2 429 3 0 3 | d = shin 10 1 0 5 421 1 1 | e = thigh 23 16 28 1 4 361 7 | f = upperarm 5 15 9 1 5 7 399 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2787 90.5164 % Incorrectly Classified Instances 292 9.4836 % Kappa statistic 0.8894 Mean absolute error 0.0271 Root mean squared error 0.1646 Relative absolute error 11.0642 % Root relative squared error 47.0408 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.905 0.012 0.928 0.905 0.916 0.946 chest 0.847 0.019 0.882 0.847 0.864 0.914 forearm 0.909 0.021 0.877 0.909 0.893 0.944 head 0.966 0.002 0.986 0.966 0.976 0.982 shin 0.959 0.008 0.953 0.959 0.956 0.976 thigh 0.841 0.032 0.813 0.841 0.827 0.904 upperarm 0.909 0.016 0.903 0.909 0.906 0.946 waist Weighted Avg. 0.905 0.016 0.906 0.905 0.905 0.945 === Confusion Matrix === a b c d e f g <-- classified as 398 7 3 0 3 27 2 | a = chest 3 372 16 3 3 13 29 | b = forearm 3 8 400 1 3 23 2 | c = head 1 1 3 424 7 0 3 | d = shin 3 4 1 0 422 7 3 | e = thigh 18 17 25 2 4 370 4 | f = upperarm 3 13 8 0 1 15 401 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2802 91.0036 % Incorrectly Classified Instances 277 8.9964 % Kappa statistic 0.895 Mean absolute error 0.0257 Root mean squared error 0.1603 Relative absolute error 10.4958 % Root relative squared error 45.8167 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.909 0.016 0.907 0.909 0.908 0.947 chest 0.872 0.015 0.908 0.872 0.89 0.929 forearm 0.882 0.019 0.888 0.882 0.885 0.932 head 0.973 0.003 0.982 0.973 0.977 0.985 shin 0.945 0.009 0.945 0.945 0.945 0.968 thigh 0.87 0.027 0.844 0.87 0.857 0.922 upperarm 0.918 0.017 0.9 0.918 0.909 0.951 waist Weighted Avg. 0.91 0.015 0.91 0.91 0.91 0.948 === Confusion Matrix === a b c d e f g <-- classified as 400 2 2 0 7 27 2 | a = chest 4 383 20 2 4 3 23 | b = forearm 5 13 388 2 0 26 6 | c = head 2 1 1 427 4 2 2 | d = shin 7 3 0 1 416 6 7 | e = thigh 22 7 17 2 4 383 5 | f = upperarm 1 13 9 1 5 7 405 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2806 91.1335 % Incorrectly Classified Instances 273 8.8665 % Kappa statistic 0.8966 Mean absolute error 0.0253 Root mean squared error 0.1592 Relative absolute error 10.3443 % Root relative squared error 45.4847 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.889 0.012 0.924 0.889 0.906 0.938 chest 0.859 0.02 0.875 0.859 0.867 0.919 forearm 0.934 0.023 0.873 0.934 0.902 0.956 head 0.973 0.003 0.979 0.973 0.976 0.985 shin 0.955 0.008 0.95 0.955 0.952 0.973 thigh 0.83 0.021 0.869 0.83 0.849 0.904 upperarm 0.941 0.016 0.91 0.941 0.925 0.963 waist Weighted Avg. 0.911 0.015 0.911 0.911 0.911 0.948 === Confusion Matrix === a b c d e f g <-- classified as 391 4 7 2 6 28 2 | a = chest 2 377 22 0 6 9 23 | b = forearm 2 11 411 0 0 11 5 | c = head 2 4 1 427 4 0 1 | d = shin 4 3 2 2 420 5 4 | e = thigh 20 17 23 4 5 365 6 | f = upperarm 2 15 5 1 1 2 415 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2812 91.358 % Incorrectly Classified Instances 266 8.642 % Kappa statistic 0.8992 Mean absolute error 0.0247 Root mean squared error 0.1571 Relative absolute error 10.0823 % Root relative squared error 44.905 % Total Number of Instances 3078 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.907 0.009 0.943 0.907 0.925 0.949 chest 0.882 0.017 0.896 0.882 0.889 0.932 forearm 0.895 0.02 0.881 0.895 0.888 0.938 head 0.973 0.003 0.984 0.973 0.978 0.985 shin 0.957 0.011 0.933 0.957 0.945 0.973 thigh 0.85 0.021 0.87 0.85 0.86 0.914 upperarm 0.932 0.019 0.89 0.932 0.91 0.956 waist Weighted Avg. 0.914 0.014 0.914 0.914 0.914 0.95 === Confusion Matrix === a b c d e f g <-- classified as 398 6 5 2 7 19 2 | a = chest 1 387 12 1 5 6 27 | b = forearm 4 10 394 0 2 18 12 | c = head 0 2 2 427 8 0 0 | d = shin 5 1 1 3 421 6 3 | e = thigh 14 9 29 0 7 374 7 | f = upperarm 0 17 4 1 1 7 411 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2819 91.5854 % Incorrectly Classified Instances 259 8.4146 % Kappa statistic 0.9018 Mean absolute error 0.024 Root mean squared error 0.1551 Relative absolute error 9.817 % Root relative squared error 44.3102 % Total Number of Instances 3078 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.895 0.012 0.927 0.895 0.911 0.942 chest 0.879 0.019 0.887 0.879 0.883 0.93 forearm 0.92 0.018 0.894 0.92 0.907 0.951 head 0.979 0.003 0.982 0.979 0.981 0.988 shin 0.95 0.008 0.954 0.95 0.952 0.971 thigh 0.87 0.024 0.857 0.87 0.864 0.923 upperarm 0.916 0.015 0.912 0.916 0.914 0.951 waist Weighted Avg. 0.916 0.014 0.916 0.916 0.916 0.951 === Confusion Matrix === a b c d e f g <-- classified as 393 5 6 0 5 29 1 | a = chest 2 386 15 4 6 7 19 | b = forearm 3 7 405 0 2 13 10 | c = head 0 4 0 430 3 2 0 | d = shin 6 3 0 2 418 5 6 | e = thigh 20 9 23 1 1 383 3 | f = upperarm 0 21 4 1 3 8 404 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2807 91.1956 % Incorrectly Classified Instances 271 8.8044 % Kappa statistic 0.8973 Mean absolute error 0.0252 Root mean squared error 0.1586 Relative absolute error 10.2718 % Root relative squared error 45.3251 % Total Number of Instances 3078 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.891 0.014 0.916 0.891 0.903 0.939 chest 0.886 0.016 0.905 0.886 0.895 0.935 forearm 0.918 0.016 0.904 0.918 0.911 0.951 head 0.975 0.003 0.984 0.975 0.979 0.986 shin 0.957 0.009 0.948 0.957 0.952 0.974 thigh 0.838 0.028 0.834 0.838 0.836 0.905 upperarm 0.918 0.018 0.894 0.918 0.906 0.95 waist Weighted Avg. 0.912 0.015 0.912 0.912 0.912 0.949 === Confusion Matrix === a b c d e f g <-- classified as 391 6 1 0 6 33 2 | a = chest 1 389 15 2 1 4 27 | b = forearm 2 7 404 3 1 20 3 | c = head 0 1 0 429 2 5 3 | d = shin 6 1 1 1 421 2 8 | e = thigh 27 8 23 0 8 368 5 | f = upperarm 0 18 3 1 5 9 405 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 6 FOLD: 0 Correctly Classified Instances 2821 91.6207 % Incorrectly Classified Instances 258 8.3793 % Kappa statistic 0.9022 Mean absolute error 0.0239 Root mean squared error 0.1547 Relative absolute error 9.7759 % Root relative squared error 44.2174 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.9 0.011 0.932 0.9 0.916 0.945 chest 0.872 0.021 0.872 0.872 0.872 0.925 forearm 0.925 0.015 0.913 0.925 0.919 0.955 head 0.968 0.002 0.986 0.968 0.977 0.983 shin 0.959 0.007 0.957 0.959 0.958 0.976 thigh 0.859 0.02 0.877 0.859 0.868 0.92 upperarm 0.93 0.021 0.88 0.93 0.904 0.954 waist Weighted Avg. 0.916 0.014 0.917 0.916 0.916 0.951 === Confusion Matrix === a b c d e f g <-- classified as 396 7 5 1 2 25 4 | a = chest 1 382 16 2 5 4 28 | b = forearm 0 11 407 0 3 14 5 | c = head 0 2 2 426 5 1 4 | d = shin 3 2 2 1 422 5 5 | e = thigh 23 11 14 1 3 378 10 | f = upperarm 2 23 0 1 1 4 410 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2796 90.8087 % Incorrectly Classified Instances 283 9.1913 % Kappa statistic 0.8928 Mean absolute error 0.0263 Root mean squared error 0.1621 Relative absolute error 10.7232 % Root relative squared error 46.3102 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.914 0.016 0.907 0.914 0.911 0.949 chest 0.877 0.016 0.901 0.877 0.889 0.93 forearm 0.927 0.016 0.909 0.927 0.918 0.956 head 0.973 0.005 0.973 0.973 0.973 0.984 shin 0.932 0.013 0.921 0.932 0.926 0.959 thigh 0.811 0.021 0.864 0.811 0.837 0.895 upperarm 0.923 0.021 0.879 0.923 0.9 0.951 waist Weighted Avg. 0.908 0.015 0.908 0.908 0.908 0.946 === Confusion Matrix === a b c d e f g <-- classified as 402 1 2 1 11 20 3 | a = chest 1 384 12 3 5 8 25 | b = forearm 2 9 409 1 1 11 8 | c = head 0 0 1 428 5 4 2 | d = shin 12 3 0 2 409 3 10 | e = thigh 24 16 24 5 6 357 8 | f = upperarm 2 13 2 0 7 10 407 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2788 90.5489 % Incorrectly Classified Instances 291 9.4511 % Kappa statistic 0.8897 Mean absolute error 0.027 Root mean squared error 0.1643 Relative absolute error 11.0263 % Root relative squared error 46.9602 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.895 0.016 0.904 0.895 0.9 0.94 chest 0.856 0.017 0.895 0.856 0.875 0.92 forearm 0.909 0.021 0.879 0.909 0.894 0.944 head 0.98 0.002 0.986 0.98 0.983 0.989 shin 0.948 0.009 0.948 0.948 0.948 0.969 thigh 0.832 0.023 0.859 0.832 0.845 0.905 upperarm 0.918 0.023 0.869 0.918 0.893 0.948 waist Weighted Avg. 0.905 0.016 0.906 0.905 0.905 0.945 === Confusion Matrix === a b c d e f g <-- classified as 394 6 8 0 6 22 4 | a = chest 4 375 15 1 2 8 33 | b = forearm 3 9 401 2 2 16 8 | c = head 0 2 0 431 5 0 2 | d = shin 10 0 1 2 416 3 7 | e = thigh 22 13 29 0 3 366 7 | f = upperarm 3 14 2 1 5 11 405 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2821 91.6207 % Incorrectly Classified Instances 258 8.3793 % Kappa statistic 0.9022 Mean absolute error 0.0239 Root mean squared error 0.1547 Relative absolute error 9.7759 % Root relative squared error 44.2174 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.907 0.009 0.941 0.907 0.924 0.949 chest 0.872 0.02 0.878 0.872 0.875 0.926 forearm 0.914 0.017 0.897 0.914 0.905 0.948 head 0.98 0.003 0.982 0.98 0.981 0.988 shin 0.95 0.006 0.963 0.95 0.956 0.972 thigh 0.868 0.023 0.86 0.868 0.864 0.922 upperarm 0.923 0.018 0.895 0.923 0.908 0.952 waist Weighted Avg. 0.916 0.014 0.917 0.916 0.916 0.951 === Confusion Matrix === a b c d e f g <-- classified as 399 7 4 1 2 24 3 | a = chest 2 383 13 2 2 8 29 | b = forearm 3 11 402 0 2 18 4 | c = head 1 0 1 431 5 2 0 | d = shin 2 5 3 3 417 5 4 | e = thigh 16 13 18 0 3 382 8 | f = upperarm 1 17 7 2 2 5 407 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2816 91.4583 % Incorrectly Classified Instances 263 8.5417 % Kappa statistic 0.9003 Mean absolute error 0.0244 Root mean squared error 0.1562 Relative absolute error 9.9654 % Root relative squared error 44.6438 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.911 0.014 0.913 0.911 0.912 0.948 chest 0.884 0.017 0.894 0.884 0.889 0.933 forearm 0.891 0.016 0.901 0.891 0.896 0.937 head 0.975 0.003 0.984 0.975 0.979 0.986 shin 0.948 0.007 0.956 0.948 0.952 0.97 thigh 0.856 0.025 0.853 0.856 0.855 0.916 upperarm 0.937 0.017 0.902 0.937 0.919 0.96 waist Weighted Avg. 0.915 0.014 0.915 0.915 0.915 0.95 === Confusion Matrix === a b c d e f g <-- classified as 401 1 3 0 3 30 2 | a = chest 2 388 13 3 4 5 24 | b = forearm 2 17 392 2 1 15 11 | c = head 1 6 0 429 3 0 1 | d = shin 10 1 1 2 417 6 3 | e = thigh 22 8 23 0 6 376 4 | f = upperarm 1 13 3 0 2 9 413 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2795 90.7762 % Incorrectly Classified Instances 284 9.2238 % Kappa statistic 0.8924 Mean absolute error 0.0264 Root mean squared error 0.1623 Relative absolute error 10.7611 % Root relative squared error 46.392 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.884 0.013 0.92 0.884 0.902 0.936 chest 0.872 0.016 0.899 0.872 0.886 0.928 forearm 0.92 0.023 0.867 0.92 0.893 0.948 head 0.977 0.002 0.986 0.977 0.982 0.987 shin 0.968 0.007 0.959 0.968 0.964 0.981 thigh 0.834 0.027 0.84 0.834 0.837 0.904 upperarm 0.898 0.019 0.886 0.898 0.892 0.939 waist Weighted Avg. 0.908 0.015 0.908 0.908 0.908 0.946 === Confusion Matrix === a b c d e f g <-- classified as 389 5 4 3 6 30 3 | a = chest 2 383 16 1 1 7 29 | b = forearm 5 6 405 1 1 17 5 | c = head 1 0 2 429 3 3 1 | d = shin 4 2 0 0 426 3 5 | e = thigh 21 11 29 0 4 367 8 | f = upperarm 1 19 11 1 3 10 396 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2772 90.0292 % Incorrectly Classified Instances 307 9.9708 % Kappa statistic 0.8837 Mean absolute error 0.0285 Root mean squared error 0.1688 Relative absolute error 11.6326 % Root relative squared error 48.2339 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.9 0.012 0.927 0.9 0.913 0.944 chest 0.831 0.016 0.899 0.831 0.864 0.908 forearm 0.927 0.026 0.855 0.927 0.89 0.951 head 0.973 0.003 0.982 0.973 0.977 0.985 shin 0.934 0.007 0.956 0.934 0.945 0.963 thigh 0.809 0.028 0.83 0.809 0.819 0.891 upperarm 0.927 0.025 0.861 0.927 0.893 0.951 waist Weighted Avg. 0.9 0.017 0.901 0.9 0.9 0.942 === Confusion Matrix === a b c d e f g <-- classified as 396 7 1 0 4 31 1 | a = chest 2 365 21 4 3 14 30 | b = forearm 3 4 408 0 0 14 11 | c = head 1 1 2 427 2 1 5 | d = shin 11 1 0 1 411 8 8 | e = thigh 14 13 36 2 8 356 11 | f = upperarm 0 15 9 1 2 5 409 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2793 90.7407 % Incorrectly Classified Instances 285 9.2593 % Kappa statistic 0.892 Mean absolute error 0.0265 Root mean squared error 0.1627 Relative absolute error 10.8025 % Root relative squared error 46.4811 % Total Number of Instances 3078 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.872 0.014 0.912 0.872 0.892 0.929 chest 0.852 0.011 0.928 0.852 0.888 0.92 forearm 0.92 0.02 0.886 0.92 0.903 0.95 head 0.984 0.006 0.964 0.984 0.974 0.989 shin 0.957 0.009 0.944 0.957 0.95 0.974 thigh 0.836 0.033 0.811 0.836 0.823 0.902 upperarm 0.93 0.015 0.911 0.93 0.92 0.957 waist Weighted Avg. 0.907 0.015 0.908 0.907 0.907 0.946 === Confusion Matrix === a b c d e f g <-- classified as 383 4 2 3 8 37 2 | a = chest 2 374 21 5 4 11 22 | b = forearm 2 5 405 1 3 21 3 | c = head 0 2 1 432 1 0 3 | d = shin 4 3 0 3 421 5 4 | e = thigh 27 6 23 4 6 368 6 | f = upperarm 2 9 5 0 3 12 410 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2816 91.488 % Incorrectly Classified Instances 262 8.512 % Kappa statistic 0.9007 Mean absolute error 0.0243 Root mean squared error 0.1559 Relative absolute error 9.9307 % Root relative squared error 44.5661 % Total Number of Instances 3078 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.913 0.013 0.924 0.913 0.919 0.95 chest 0.879 0.017 0.898 0.879 0.888 0.931 forearm 0.902 0.022 0.873 0.902 0.887 0.94 head 0.966 0.002 0.988 0.966 0.977 0.982 shin 0.961 0.009 0.948 0.961 0.955 0.976 thigh 0.85 0.022 0.864 0.85 0.857 0.914 upperarm 0.932 0.015 0.911 0.932 0.922 0.958 waist Weighted Avg. 0.915 0.014 0.915 0.915 0.915 0.95 === Confusion Matrix === a b c d e f g <-- classified as 401 5 4 0 6 22 1 | a = chest 2 386 24 1 5 7 14 | b = forearm 3 11 397 0 2 17 10 | c = head 1 2 2 424 6 1 3 | d = shin 6 3 0 1 423 4 3 | e = thigh 20 9 23 2 3 374 9 | f = upperarm 1 14 5 1 1 8 411 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2822 91.6829 % Incorrectly Classified Instances 256 8.3171 % Kappa statistic 0.903 Mean absolute error 0.0238 Root mean squared error 0.1542 Relative absolute error 9.7033 % Root relative squared error 44.0529 % Total Number of Instances 3078 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.913 0.013 0.92 0.913 0.917 0.95 chest 0.886 0.017 0.894 0.886 0.89 0.934 forearm 0.898 0.016 0.902 0.898 0.9 0.941 head 0.968 0.005 0.973 0.968 0.97 0.982 shin 0.959 0.007 0.959 0.959 0.959 0.976 thigh 0.859 0.024 0.855 0.859 0.857 0.917 upperarm 0.934 0.014 0.916 0.934 0.925 0.96 waist Weighted Avg. 0.917 0.014 0.917 0.917 0.917 0.951 === Confusion Matrix === a b c d e f g <-- classified as 401 5 5 0 3 23 2 | a = chest 4 389 12 3 1 7 23 | b = forearm 1 12 395 2 1 20 9 | c = head 1 2 0 425 8 1 2 | d = shin 5 2 0 4 422 5 2 | e = thigh 23 13 22 2 2 378 0 | f = upperarm 1 12 4 1 3 8 412 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 7 FOLD: 0 Correctly Classified Instances 2799 90.9061 % Incorrectly Classified Instances 280 9.0939 % Kappa statistic 0.8939 Mean absolute error 0.026 Root mean squared error 0.1612 Relative absolute error 10.6095 % Root relative squared error 46.0641 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.893 0.016 0.903 0.893 0.898 0.939 chest 0.872 0.017 0.893 0.872 0.882 0.928 forearm 0.916 0.02 0.884 0.916 0.9 0.948 head 0.97 0.005 0.973 0.97 0.971 0.983 shin 0.955 0.011 0.938 0.955 0.946 0.972 thigh 0.848 0.019 0.884 0.848 0.865 0.915 upperarm 0.909 0.019 0.889 0.909 0.899 0.945 waist Weighted Avg. 0.909 0.015 0.909 0.909 0.909 0.947 === Confusion Matrix === a b c d e f g <-- classified as 393 2 5 3 10 24 3 | a = chest 4 383 11 4 2 10 25 | b = forearm 5 12 403 1 2 10 7 | c = head 3 3 1 426 4 0 2 | d = shin 9 0 1 2 420 2 6 | e = thigh 20 7 25 1 7 373 7 | f = upperarm 1 22 10 1 3 3 401 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2779 90.2566 % Incorrectly Classified Instances 300 9.7434 % Kappa statistic 0.8863 Mean absolute error 0.0278 Root mean squared error 0.1668 Relative absolute error 11.3673 % Root relative squared error 47.6809 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.886 0.014 0.915 0.886 0.901 0.936 chest 0.856 0.023 0.858 0.856 0.857 0.917 forearm 0.927 0.022 0.874 0.927 0.9 0.952 head 0.982 0.003 0.984 0.982 0.983 0.99 shin 0.943 0.006 0.961 0.943 0.952 0.968 thigh 0.816 0.023 0.853 0.816 0.834 0.896 upperarm 0.907 0.022 0.875 0.907 0.891 0.943 waist Weighted Avg. 0.903 0.016 0.903 0.903 0.902 0.943 === Confusion Matrix === a b c d e f g <-- classified as 390 5 5 2 4 31 3 | a = chest 2 376 20 2 3 7 29 | b = forearm 1 10 408 0 1 13 7 | c = head 1 2 1 431 2 0 2 | d = shin 6 4 2 1 415 4 8 | e = thigh 25 16 27 2 3 359 8 | f = upperarm 1 25 4 0 4 7 400 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2824 91.7181 % Incorrectly Classified Instances 255 8.2819 % Kappa statistic 0.9034 Mean absolute error 0.0237 Root mean squared error 0.1538 Relative absolute error 9.6622 % Root relative squared error 43.9596 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.9 0.01 0.938 0.9 0.919 0.945 chest 0.886 0.016 0.905 0.886 0.895 0.935 forearm 0.925 0.019 0.893 0.925 0.908 0.953 head 0.973 0.003 0.979 0.973 0.976 0.985 shin 0.952 0.011 0.933 0.952 0.943 0.97 thigh 0.866 0.022 0.87 0.866 0.868 0.922 upperarm 0.918 0.016 0.904 0.918 0.911 0.951 waist Weighted Avg. 0.917 0.014 0.917 0.917 0.917 0.952 === Confusion Matrix === a b c d e f g <-- classified as 396 7 4 0 6 26 1 | a = chest 2 389 14 1 4 7 22 | b = forearm 3 9 407 2 1 15 3 | c = head 0 1 1 428 8 1 1 | d = shin 5 2 1 4 419 3 6 | e = thigh 15 6 18 1 9 380 10 | f = upperarm 1 16 11 1 2 5 405 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2787 90.5164 % Incorrectly Classified Instances 292 9.4836 % Kappa statistic 0.8894 Mean absolute error 0.0271 Root mean squared error 0.1646 Relative absolute error 11.0642 % Root relative squared error 47.0408 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.909 0.017 0.901 0.909 0.905 0.946 chest 0.909 0.022 0.871 0.909 0.89 0.943 forearm 0.9 0.019 0.888 0.9 0.894 0.941 head 0.97 0.002 0.986 0.97 0.978 0.984 shin 0.955 0.012 0.931 0.955 0.943 0.971 thigh 0.798 0.022 0.86 0.798 0.828 0.888 upperarm 0.896 0.017 0.898 0.896 0.897 0.939 waist Weighted Avg. 0.905 0.016 0.905 0.905 0.905 0.945 === Confusion Matrix === a b c d e f g <-- classified as 399 4 5 1 4 24 2 | a = chest 1 399 12 0 3 2 22 | b = forearm 3 9 396 3 1 18 10 | c = head 0 2 1 427 8 1 1 | d = shin 7 3 2 2 420 3 3 | e = thigh 29 18 27 0 8 351 7 | f = upperarm 4 23 3 0 7 9 395 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2829 91.8805 % Incorrectly Classified Instances 250 8.1195 % Kappa statistic 0.9053 Mean absolute error 0.0232 Root mean squared error 0.1523 Relative absolute error 9.4728 % Root relative squared error 43.5265 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.934 0.009 0.945 0.934 0.939 0.962 chest 0.868 0.017 0.894 0.868 0.881 0.925 forearm 0.92 0.023 0.871 0.92 0.895 0.949 head 0.968 0.002 0.988 0.968 0.978 0.983 shin 0.955 0.009 0.946 0.955 0.95 0.973 thigh 0.848 0.018 0.888 0.848 0.867 0.915 upperarm 0.939 0.017 0.902 0.939 0.92 0.961 waist Weighted Avg. 0.919 0.014 0.919 0.919 0.919 0.953 === Confusion Matrix === a b c d e f g <-- classified as 410 3 4 2 3 13 4 | a = chest 1 381 20 2 10 3 22 | b = forearm 1 10 405 0 1 17 6 | c = head 2 5 1 426 5 1 0 | d = shin 6 4 0 0 420 4 6 | e = thigh 13 15 28 1 3 373 7 | f = upperarm 1 8 7 0 2 9 414 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2781 90.3215 % Incorrectly Classified Instances 298 9.6785 % Kappa statistic 0.8871 Mean absolute error 0.0277 Root mean squared error 0.1663 Relative absolute error 11.2915 % Root relative squared error 47.5217 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.879 0.015 0.908 0.879 0.894 0.932 chest 0.85 0.019 0.882 0.85 0.865 0.915 forearm 0.916 0.022 0.872 0.916 0.894 0.947 head 0.968 0.003 0.982 0.968 0.975 0.983 shin 0.943 0.011 0.937 0.943 0.94 0.966 thigh 0.841 0.024 0.853 0.841 0.847 0.908 upperarm 0.925 0.019 0.891 0.925 0.908 0.953 waist Weighted Avg. 0.903 0.016 0.903 0.903 0.903 0.944 === Confusion Matrix === a b c d e f g <-- classified as 386 6 2 1 8 36 0 | a = chest 3 373 23 3 3 7 27 | b = forearm 6 8 403 0 2 13 8 | c = head 0 4 1 426 7 1 1 | d = shin 5 5 1 3 415 2 9 | e = thigh 23 10 28 0 4 370 5 | f = upperarm 2 17 4 1 4 5 408 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2808 91.1984 % Incorrectly Classified Instances 271 8.8016 % Kappa statistic 0.8973 Mean absolute error 0.0251 Root mean squared error 0.1586 Relative absolute error 10.2685 % Root relative squared error 45.3177 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.9 0.013 0.919 0.9 0.909 0.943 chest 0.877 0.019 0.887 0.877 0.882 0.929 forearm 0.923 0.016 0.904 0.923 0.913 0.953 head 0.966 0.002 0.986 0.966 0.976 0.982 shin 0.939 0.009 0.947 0.939 0.943 0.965 thigh 0.83 0.021 0.867 0.83 0.848 0.904 upperarm 0.95 0.022 0.877 0.95 0.912 0.964 waist Weighted Avg. 0.912 0.015 0.912 0.912 0.912 0.949 === Confusion Matrix === a b c d e f g <-- classified as 396 11 3 0 7 20 3 | a = chest 2 384 12 2 3 6 29 | b = forearm 2 10 406 0 1 15 6 | c = head 1 2 2 425 4 2 4 | d = shin 7 5 0 2 413 7 6 | e = thigh 23 10 25 2 4 365 11 | f = upperarm 0 11 1 0 4 6 419 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2820 91.6179 % Incorrectly Classified Instances 258 8.3821 % Kappa statistic 0.9022 Mean absolute error 0.0239 Root mean squared error 0.1548 Relative absolute error 9.7791 % Root relative squared error 44.2246 % Total Number of Instances 3078 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.911 0.015 0.911 0.911 0.911 0.948 chest 0.881 0.018 0.891 0.881 0.886 0.932 forearm 0.939 0.018 0.896 0.939 0.917 0.96 head 0.968 0.003 0.979 0.968 0.974 0.982 shin 0.966 0.009 0.946 0.966 0.956 0.978 thigh 0.814 0.021 0.867 0.814 0.839 0.896 upperarm 0.934 0.014 0.92 0.934 0.927 0.96 waist Weighted Avg. 0.916 0.014 0.916 0.916 0.916 0.951 === Confusion Matrix === a b c d e f g <-- classified as 401 7 1 1 3 25 2 | a = chest 1 386 15 4 6 8 18 | b = forearm 0 7 414 1 1 13 5 | c = head 1 3 0 425 4 2 4 | d = shin 5 2 1 1 424 1 5 | e = thigh 29 19 27 1 4 358 2 | f = upperarm 3 9 4 1 6 6 412 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2791 90.6758 % Incorrectly Classified Instances 287 9.3242 % Kappa statistic 0.8912 Mean absolute error 0.0266 Root mean squared error 0.1632 Relative absolute error 10.8783 % Root relative squared error 46.6439 % Total Number of Instances 3078 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.891 0.014 0.912 0.891 0.901 0.938 chest 0.865 0.016 0.9 0.865 0.882 0.925 forearm 0.898 0.022 0.874 0.898 0.886 0.938 head 0.975 0.005 0.968 0.975 0.972 0.985 shin 0.959 0.009 0.946 0.959 0.952 0.975 thigh 0.82 0.025 0.847 0.82 0.834 0.898 upperarm 0.939 0.018 0.898 0.939 0.918 0.96 waist Weighted Avg. 0.907 0.016 0.907 0.907 0.906 0.946 === Confusion Matrix === a b c d e f g <-- classified as 392 7 6 0 4 29 2 | a = chest 3 379 19 5 4 5 23 | b = forearm 3 10 396 3 3 19 7 | c = head 0 1 0 428 6 1 3 | d = shin 5 1 0 5 421 4 3 | e = thigh 25 11 27 1 6 361 9 | f = upperarm 2 12 5 0 1 7 414 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2799 90.9357 % Incorrectly Classified Instances 279 9.0643 % Kappa statistic 0.8942 Mean absolute error 0.0259 Root mean squared error 0.1609 Relative absolute error 10.5751 % Root relative squared error 45.9892 % Total Number of Instances 3078 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.88 0.009 0.944 0.88 0.911 0.935 chest 0.859 0.019 0.883 0.859 0.871 0.92 forearm 0.9 0.02 0.88 0.9 0.89 0.94 head 0.986 0.002 0.989 0.986 0.987 0.992 shin 0.964 0.009 0.944 0.964 0.954 0.977 thigh 0.873 0.027 0.842 0.873 0.857 0.923 upperarm 0.905 0.019 0.889 0.905 0.897 0.943 waist Weighted Avg. 0.909 0.015 0.91 0.909 0.909 0.947 === Confusion Matrix === a b c d e f g <-- classified as 387 2 4 0 6 35 6 | a = chest 2 377 19 0 4 9 28 | b = forearm 1 11 396 0 1 21 10 | c = head 0 1 1 433 4 0 0 | d = shin 9 1 1 1 423 2 2 | e = thigh 11 9 24 3 5 384 4 | f = upperarm 0 26 5 1 5 5 399 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 8 FOLD: 0 Correctly Classified Instances 2781 90.3215 % Incorrectly Classified Instances 298 9.6785 % Kappa statistic 0.8871 Mean absolute error 0.0277 Root mean squared error 0.1663 Relative absolute error 11.2915 % Root relative squared error 47.5217 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.902 0.014 0.917 0.902 0.91 0.944 chest 0.879 0.024 0.858 0.879 0.868 0.928 forearm 0.898 0.017 0.9 0.898 0.899 0.941 head 0.964 0.005 0.972 0.964 0.968 0.98 shin 0.927 0.01 0.94 0.927 0.933 0.959 thigh 0.827 0.025 0.847 0.827 0.837 0.901 upperarm 0.925 0.019 0.891 0.925 0.908 0.953 waist Weighted Avg. 0.903 0.016 0.903 0.903 0.903 0.944 === Confusion Matrix === a b c d e f g <-- classified as 397 6 3 1 8 22 3 | a = chest 1 386 16 2 3 12 19 | b = forearm 1 12 395 1 2 21 8 | c = head 0 3 1 424 5 2 5 | d = shin 6 9 0 7 407 1 9 | e = thigh 25 20 19 1 5 364 6 | f = upperarm 3 14 5 0 3 8 408 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2814 91.3933 % Incorrectly Classified Instances 265 8.6067 % Kappa statistic 0.8996 Mean absolute error 0.0246 Root mean squared error 0.1568 Relative absolute error 10.0411 % Root relative squared error 44.8133 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.902 0.012 0.925 0.902 0.914 0.945 chest 0.888 0.017 0.899 0.888 0.893 0.936 forearm 0.911 0.023 0.866 0.911 0.888 0.944 head 0.98 0.004 0.975 0.98 0.977 0.988 shin 0.968 0.011 0.938 0.968 0.953 0.979 thigh 0.852 0.019 0.884 0.852 0.868 0.917 upperarm 0.896 0.015 0.91 0.896 0.903 0.94 waist Weighted Avg. 0.914 0.014 0.914 0.914 0.914 0.95 === Confusion Matrix === a b c d e f g <-- classified as 397 1 6 1 9 25 1 | a = chest 2 390 15 1 7 1 23 | b = forearm 4 12 401 1 2 15 5 | c = head 1 1 1 431 4 1 1 | d = shin 4 0 2 4 425 0 4 | e = thigh 18 9 28 2 3 375 5 | f = upperarm 3 21 10 2 3 7 395 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2782 90.354 % Incorrectly Classified Instances 297 9.646 % Kappa statistic 0.8875 Mean absolute error 0.0276 Root mean squared error 0.166 Relative absolute error 11.2537 % Root relative squared error 47.4419 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.914 0.013 0.924 0.914 0.919 0.951 chest 0.811 0.018 0.881 0.811 0.844 0.896 forearm 0.916 0.025 0.861 0.916 0.888 0.946 head 0.97 0.003 0.979 0.97 0.975 0.984 shin 0.961 0.009 0.944 0.961 0.953 0.976 thigh 0.832 0.022 0.865 0.832 0.848 0.905 upperarm 0.921 0.023 0.871 0.921 0.895 0.949 waist Weighted Avg. 0.904 0.016 0.904 0.904 0.903 0.944 === Confusion Matrix === a b c d e f g <-- classified as 402 6 1 1 3 25 2 | a = chest 2 355 32 3 5 8 33 | b = forearm 0 10 403 0 2 17 8 | c = head 1 2 1 427 6 0 3 | d = shin 6 1 0 2 423 2 6 | e = thigh 24 10 28 1 3 366 8 | f = upperarm 0 19 3 2 6 5 406 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2831 91.9454 % Incorrectly Classified Instances 248 8.0546 % Kappa statistic 0.906 Mean absolute error 0.023 Root mean squared error 0.1517 Relative absolute error 9.397 % Root relative squared error 43.352 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.916 0.011 0.931 0.916 0.923 0.952 chest 0.89 0.016 0.905 0.89 0.898 0.937 forearm 0.927 0.018 0.897 0.927 0.912 0.955 head 0.986 0.005 0.969 0.986 0.977 0.991 shin 0.948 0.005 0.97 0.948 0.959 0.971 thigh 0.814 0.018 0.882 0.814 0.846 0.898 upperarm 0.955 0.021 0.884 0.955 0.918 0.967 waist Weighted Avg. 0.919 0.013 0.92 0.919 0.919 0.953 === Confusion Matrix === a b c d e f g <-- classified as 403 2 6 1 3 20 5 | a = chest 2 390 10 3 2 7 24 | b = forearm 3 10 408 3 0 11 5 | c = head 1 1 0 434 2 1 1 | d = shin 6 2 0 4 417 4 7 | e = thigh 18 17 29 3 2 358 13 | f = upperarm 0 9 2 0 4 5 421 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2814 91.3933 % Incorrectly Classified Instances 265 8.6067 % Kappa statistic 0.8996 Mean absolute error 0.0246 Root mean squared error 0.1568 Relative absolute error 10.0411 % Root relative squared error 44.8133 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.923 0.012 0.927 0.923 0.925 0.955 chest 0.858 0.017 0.895 0.858 0.876 0.921 forearm 0.911 0.017 0.897 0.911 0.904 0.947 head 0.984 0.003 0.982 0.984 0.983 0.991 shin 0.955 0.008 0.952 0.955 0.953 0.973 thigh 0.843 0.023 0.859 0.843 0.851 0.91 upperarm 0.923 0.02 0.885 0.923 0.903 0.951 waist Weighted Avg. 0.914 0.014 0.914 0.914 0.914 0.95 === Confusion Matrix === a b c d e f g <-- classified as 406 6 3 0 1 23 1 | a = chest 2 376 15 2 5 6 32 | b = forearm 4 9 401 2 2 15 7 | c = head 1 1 1 433 2 2 0 | d = shin 5 2 0 2 420 5 6 | e = thigh 18 10 23 2 9 371 7 | f = upperarm 2 16 4 0 2 10 407 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2783 90.3865 % Incorrectly Classified Instances 296 9.6135 % Kappa statistic 0.8878 Mean absolute error 0.0275 Root mean squared error 0.1657 Relative absolute error 11.2158 % Root relative squared error 47.3619 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.873 0.016 0.904 0.873 0.888 0.929 chest 0.861 0.014 0.909 0.861 0.884 0.923 forearm 0.875 0.024 0.857 0.875 0.866 0.925 head 0.975 0.004 0.975 0.975 0.975 0.985 shin 0.97 0.008 0.955 0.97 0.963 0.981 thigh 0.823 0.028 0.83 0.823 0.826 0.897 upperarm 0.95 0.018 0.897 0.95 0.923 0.966 waist Weighted Avg. 0.904 0.016 0.904 0.904 0.904 0.944 === Confusion Matrix === a b c d e f g <-- classified as 384 6 8 1 2 37 2 | a = chest 4 378 20 4 1 5 27 | b = forearm 5 13 385 1 1 24 11 | c = head 1 0 1 428 8 0 1 | d = shin 6 1 0 0 427 4 2 | e = thigh 24 10 28 4 7 362 5 | f = upperarm 1 8 7 1 1 4 419 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2807 91.166 % Incorrectly Classified Instances 272 8.834 % Kappa statistic 0.8969 Mean absolute error 0.0252 Root mean squared error 0.1589 Relative absolute error 10.3064 % Root relative squared error 45.4013 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.87 0.012 0.925 0.87 0.897 0.929 chest 0.888 0.016 0.901 0.888 0.894 0.936 forearm 0.92 0.017 0.898 0.92 0.909 0.952 head 0.966 0.003 0.979 0.966 0.972 0.981 shin 0.943 0.012 0.928 0.943 0.936 0.966 thigh 0.848 0.023 0.857 0.848 0.853 0.912 upperarm 0.946 0.019 0.895 0.946 0.92 0.964 waist Weighted Avg. 0.912 0.015 0.912 0.912 0.912 0.948 === Confusion Matrix === a b c d e f g <-- classified as 383 8 3 2 10 29 5 | a = chest 1 390 17 2 5 9 15 | b = forearm 1 4 405 2 3 16 9 | c = head 0 3 2 424 6 1 3 | d = shin 6 5 2 1 415 3 8 | e = thigh 22 6 22 1 7 373 9 | f = upperarm 1 17 0 1 1 4 417 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2788 90.5783 % Incorrectly Classified Instances 290 9.4217 % Kappa statistic 0.8901 Mean absolute error 0.0269 Root mean squared error 0.1641 Relative absolute error 10.992 % Root relative squared error 46.8871 % Total Number of Instances 3078 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.895 0.013 0.923 0.895 0.909 0.941 chest 0.866 0.02 0.876 0.866 0.871 0.923 forearm 0.907 0.019 0.891 0.907 0.899 0.944 head 0.97 0.003 0.984 0.97 0.977 0.984 shin 0.948 0.007 0.956 0.948 0.952 0.97 thigh 0.843 0.023 0.859 0.843 0.851 0.91 upperarm 0.912 0.025 0.857 0.912 0.884 0.943 waist Weighted Avg. 0.906 0.016 0.906 0.906 0.906 0.945 === Confusion Matrix === a b c d e f g <-- classified as 393 7 2 0 6 28 3 | a = chest 4 380 13 5 1 6 30 | b = forearm 2 10 399 0 0 17 12 | c = head 1 1 3 426 1 2 5 | d = shin 8 4 2 1 417 4 4 | e = thigh 17 12 21 0 6 371 13 | f = upperarm 1 20 8 1 5 4 402 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2809 91.2606 % Incorrectly Classified Instances 269 8.7394 % Kappa statistic 0.898 Mean absolute error 0.025 Root mean squared error 0.158 Relative absolute error 10.196 % Root relative squared error 45.1575 % Total Number of Instances 3078 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.913 0.013 0.922 0.913 0.918 0.95 chest 0.875 0.016 0.899 0.875 0.887 0.929 forearm 0.912 0.017 0.897 0.912 0.904 0.947 head 0.973 0.002 0.986 0.973 0.979 0.985 shin 0.943 0.008 0.952 0.943 0.947 0.968 thigh 0.847 0.026 0.845 0.847 0.846 0.911 upperarm 0.925 0.019 0.889 0.925 0.907 0.953 waist Weighted Avg. 0.913 0.015 0.913 0.913 0.913 0.949 === Confusion Matrix === a b c d e f g <-- classified as 401 6 2 0 4 25 1 | a = chest 1 384 14 3 1 10 26 | b = forearm 1 11 402 1 1 18 7 | c = head 1 2 0 427 7 1 1 | d = shin 7 1 0 2 415 4 11 | e = thigh 23 12 23 0 4 372 5 | f = upperarm 1 11 7 0 4 10 408 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2810 91.293 % Incorrectly Classified Instances 268 8.707 % Kappa statistic 0.8984 Mean absolute error 0.0249 Root mean squared error 0.1577 Relative absolute error 10.1581 % Root relative squared error 45.0735 % Total Number of Instances 3078 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.893 0.012 0.927 0.893 0.91 0.941 chest 0.893 0.022 0.869 0.893 0.881 0.935 forearm 0.925 0.016 0.905 0.925 0.915 0.954 head 0.97 0.001 0.993 0.97 0.982 0.985 shin 0.945 0.008 0.95 0.945 0.947 0.968 thigh 0.834 0.02 0.872 0.834 0.852 0.907 upperarm 0.93 0.021 0.88 0.93 0.904 0.954 waist Weighted Avg. 0.913 0.015 0.913 0.913 0.913 0.949 === Confusion Matrix === a b c d e f g <-- classified as 392 4 3 1 8 27 4 | a = chest 2 392 8 1 2 2 32 | b = forearm 2 12 408 0 0 12 7 | c = head 0 4 0 426 5 2 2 | d = shin 10 3 2 0 415 6 3 | e = thigh 16 17 26 1 5 367 8 | f = upperarm 1 19 4 0 2 5 410 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 9 FOLD: 0 Correctly Classified Instances 2822 91.6531 % Incorrectly Classified Instances 257 8.3469 % Kappa statistic 0.9026 Mean absolute error 0.0238 Root mean squared error 0.1544 Relative absolute error 9.738 % Root relative squared error 44.1317 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.92 0.014 0.916 0.92 0.918 0.953 chest 0.884 0.014 0.911 0.884 0.897 0.935 forearm 0.898 0.022 0.874 0.898 0.886 0.938 head 0.982 0.004 0.977 0.982 0.98 0.989 shin 0.959 0.008 0.953 0.959 0.956 0.976 thigh 0.841 0.022 0.862 0.841 0.852 0.909 upperarm 0.932 0.013 0.922 0.932 0.927 0.959 waist Weighted Avg. 0.917 0.014 0.916 0.917 0.916 0.951 === Confusion Matrix === a b c d e f g <-- classified as 405 4 2 3 6 19 1 | a = chest 5 388 19 0 0 7 20 | b = forearm 4 13 395 4 2 17 5 | c = head 1 2 1 431 2 2 0 | d = shin 6 2 2 2 422 3 3 | e = thigh 19 10 25 1 9 370 6 | f = upperarm 2 7 8 0 2 11 411 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2804 91.0685 % Incorrectly Classified Instances 275 8.9315 % Kappa statistic 0.8958 Mean absolute error 0.0255 Root mean squared error 0.1597 Relative absolute error 10.4201 % Root relative squared error 45.651 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.911 0.011 0.933 0.911 0.922 0.95 chest 0.856 0.018 0.889 0.856 0.872 0.919 forearm 0.907 0.022 0.875 0.907 0.891 0.943 head 0.966 0.003 0.981 0.966 0.974 0.981 shin 0.941 0.008 0.954 0.941 0.947 0.967 thigh 0.875 0.022 0.871 0.875 0.873 0.927 upperarm 0.918 0.022 0.877 0.918 0.897 0.948 waist Weighted Avg. 0.911 0.015 0.911 0.911 0.911 0.948 === Confusion Matrix === a b c d e f g <-- classified as 401 4 2 1 6 25 1 | a = chest 4 376 17 0 7 5 30 | b = forearm 3 8 399 1 0 17 12 | c = head 1 5 4 424 2 0 3 | d = shin 4 3 1 6 414 4 8 | e = thigh 17 7 24 0 4 385 3 | f = upperarm 0 20 9 0 1 6 405 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2793 90.7113 % Incorrectly Classified Instances 286 9.2887 % Kappa statistic 0.8916 Mean absolute error 0.0265 Root mean squared error 0.1629 Relative absolute error 10.8369 % Root relative squared error 46.555 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.882 0.014 0.913 0.882 0.897 0.934 chest 0.893 0.019 0.885 0.893 0.889 0.937 forearm 0.9 0.017 0.9 0.9 0.9 0.942 head 0.961 0.002 0.986 0.961 0.973 0.98 shin 0.955 0.009 0.946 0.955 0.95 0.973 thigh 0.832 0.027 0.836 0.832 0.834 0.902 upperarm 0.927 0.02 0.887 0.927 0.907 0.954 waist Weighted Avg. 0.907 0.015 0.907 0.907 0.907 0.946 === Confusion Matrix === a b c d e f g <-- classified as 388 3 6 1 3 38 1 | a = chest 1 392 11 3 4 7 21 | b = forearm 2 12 396 0 2 16 12 | c = head 1 1 2 422 8 1 4 | d = shin 9 2 1 0 420 2 6 | e = thigh 23 16 21 2 4 366 8 | f = upperarm 1 17 3 0 3 8 409 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2798 90.8737 % Incorrectly Classified Instances 281 9.1263 % Kappa statistic 0.8935 Mean absolute error 0.0261 Root mean squared error 0.1615 Relative absolute error 10.6474 % Root relative squared error 46.1463 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.9 0.014 0.917 0.9 0.908 0.943 chest 0.868 0.022 0.866 0.868 0.867 0.923 forearm 0.914 0.018 0.895 0.914 0.904 0.948 head 0.961 0.003 0.984 0.961 0.972 0.979 shin 0.955 0.009 0.944 0.955 0.949 0.973 thigh 0.845 0.022 0.865 0.845 0.855 0.912 upperarm 0.918 0.019 0.892 0.918 0.905 0.95 waist Weighted Avg. 0.909 0.015 0.909 0.909 0.909 0.947 === Confusion Matrix === a b c d e f g <-- classified as 396 4 5 1 5 26 3 | a = chest 2 380 18 2 4 5 27 | b = forearm 2 9 402 0 2 17 8 | c = head 2 7 0 423 5 2 1 | d = shin 6 4 0 3 420 3 4 | e = thigh 20 13 23 1 5 372 6 | f = upperarm 4 22 1 0 4 5 405 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2796 90.8087 % Incorrectly Classified Instances 283 9.1913 % Kappa statistic 0.8928 Mean absolute error 0.0263 Root mean squared error 0.1621 Relative absolute error 10.7232 % Root relative squared error 46.3102 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.923 0.013 0.925 0.923 0.924 0.955 chest 0.858 0.021 0.872 0.858 0.865 0.919 forearm 0.902 0.02 0.882 0.902 0.892 0.941 head 0.968 0.004 0.977 0.968 0.973 0.982 shin 0.948 0.009 0.948 0.948 0.948 0.97 thigh 0.834 0.024 0.852 0.834 0.843 0.905 upperarm 0.923 0.017 0.9 0.923 0.912 0.953 waist Weighted Avg. 0.908 0.015 0.908 0.908 0.908 0.946 === Confusion Matrix === a b c d e f g <-- classified as 406 5 4 0 3 20 2 | a = chest 3 376 14 4 5 12 24 | b = forearm 3 13 397 1 2 17 7 | c = head 2 2 1 426 5 1 3 | d = shin 8 4 1 1 417 7 2 | e = thigh 17 15 29 2 3 367 7 | f = upperarm 0 16 4 2 5 7 407 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2808 91.1984 % Incorrectly Classified Instances 271 8.8016 % Kappa statistic 0.8973 Mean absolute error 0.0251 Root mean squared error 0.1586 Relative absolute error 10.2685 % Root relative squared error 45.3177 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.902 0.015 0.911 0.902 0.906 0.944 chest 0.884 0.023 0.862 0.884 0.873 0.93 forearm 0.918 0.021 0.88 0.918 0.899 0.949 head 0.982 0.003 0.984 0.982 0.983 0.99 shin 0.948 0.004 0.977 0.948 0.962 0.972 thigh 0.834 0.019 0.88 0.834 0.856 0.908 upperarm 0.916 0.018 0.894 0.916 0.905 0.949 waist Weighted Avg. 0.912 0.015 0.912 0.912 0.912 0.949 === Confusion Matrix === a b c d e f g <-- classified as 397 6 3 0 4 25 5 | a = chest 2 387 18 2 2 5 22 | b = forearm 3 14 404 1 0 11 7 | c = head 2 4 1 432 0 0 1 | d = shin 6 2 1 3 417 3 8 | e = thigh 24 16 24 1 3 367 5 | f = upperarm 2 20 8 0 1 6 404 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2858 92.8223 % Incorrectly Classified Instances 221 7.1777 % Kappa statistic 0.9163 Mean absolute error 0.0205 Root mean squared error 0.1432 Relative absolute error 8.3739 % Root relative squared error 40.9242 % Total Number of Instances 3079 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.923 0.013 0.925 0.923 0.924 0.955 chest 0.907 0.015 0.911 0.907 0.909 0.946 forearm 0.936 0.016 0.907 0.936 0.922 0.96 head 0.977 0.002 0.989 0.977 0.983 0.988 shin 0.955 0.007 0.959 0.955 0.957 0.974 thigh 0.854 0.019 0.882 0.854 0.868 0.918 upperarm 0.946 0.013 0.925 0.946 0.935 0.966 waist Weighted Avg. 0.928 0.012 0.928 0.928 0.928 0.958 === Confusion Matrix === a b c d e f g <-- classified as 406 7 4 1 4 17 1 | a = chest 0 398 9 0 2 7 23 | b = forearm 1 7 412 0 0 15 5 | c = head 0 2 0 430 8 0 0 | d = shin 10 1 1 1 420 7 0 | e = thigh 21 6 26 3 3 375 5 | f = upperarm 1 16 2 0 1 4 417 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2801 91.0006 % Incorrectly Classified Instances 277 8.9994 % Kappa statistic 0.895 Mean absolute error 0.0257 Root mean squared error 0.1604 Relative absolute error 10.4992 % Root relative squared error 45.8241 % Total Number of Instances 3078 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.895 0.012 0.927 0.895 0.911 0.942 chest 0.847 0.017 0.894 0.847 0.87 0.915 forearm 0.92 0.025 0.86 0.92 0.889 0.948 head 0.984 0.003 0.98 0.984 0.982 0.99 shin 0.945 0.008 0.954 0.945 0.95 0.969 thigh 0.836 0.023 0.86 0.836 0.848 0.907 upperarm 0.941 0.018 0.898 0.941 0.919 0.962 waist Weighted Avg. 0.91 0.015 0.91 0.91 0.91 0.948 === Confusion Matrix === a b c d e f g <-- classified as 393 7 3 1 4 28 3 | a = chest 2 372 28 3 3 11 20 | b = forearm 6 7 405 0 1 14 7 | c = head 0 1 1 433 4 1 0 | d = shin 3 3 2 3 415 3 10 | e = thigh 18 11 28 1 7 368 7 | f = upperarm 2 15 4 1 1 3 415 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2765 89.8311 % Incorrectly Classified Instances 313 10.1689 % Kappa statistic 0.8814 Mean absolute error 0.0291 Root mean squared error 0.1705 Relative absolute error 11.8638 % Root relative squared error 48.7109 % Total Number of Instances 3078 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.893 0.017 0.899 0.893 0.896 0.938 chest 0.854 0.022 0.866 0.854 0.86 0.916 forearm 0.93 0.022 0.874 0.93 0.901 0.954 head 0.97 0.006 0.966 0.97 0.968 0.982 shin 0.957 0.008 0.955 0.957 0.956 0.975 thigh 0.807 0.028 0.829 0.807 0.818 0.89 upperarm 0.878 0.017 0.898 0.878 0.888 0.93 waist Weighted Avg. 0.898 0.017 0.898 0.898 0.898 0.941 === Confusion Matrix === a b c d e f g <-- classified as 392 7 4 2 4 27 3 | a = chest 1 375 18 8 0 9 28 | b = forearm 3 7 410 1 1 16 3 | c = head 1 2 1 426 6 2 1 | d = shin 7 2 0 2 420 4 4 | e = thigh 30 16 28 1 5 355 5 | f = upperarm 2 24 8 1 4 15 387 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2795 90.8057 % Incorrectly Classified Instances 283 9.1943 % Kappa statistic 0.8927 Mean absolute error 0.0263 Root mean squared error 0.1621 Relative absolute error 10.7267 % Root relative squared error 46.3177 % Total Number of Instances 3078 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.904 0.019 0.89 0.904 0.897 0.943 chest 0.872 0.019 0.887 0.872 0.879 0.927 forearm 0.909 0.015 0.909 0.909 0.909 0.947 head 0.97 0.002 0.988 0.97 0.979 0.984 shin 0.952 0.009 0.944 0.952 0.948 0.971 thigh 0.827 0.028 0.833 0.827 0.83 0.9 upperarm 0.921 0.016 0.906 0.921 0.913 0.952 waist Weighted Avg. 0.908 0.015 0.908 0.908 0.908 0.946 === Confusion Matrix === a b c d e f g <-- classified as 397 1 3 0 8 28 2 | a = chest 4 383 11 2 5 9 25 | b = forearm 3 12 401 0 1 20 4 | c = head 1 1 1 426 4 3 3 | d = shin 6 3 0 2 418 7 3 | e = thigh 31 17 21 0 2 364 5 | f = upperarm 4 15 4 1 5 6 406 | g = waist ------------------------------------------------------------------------------------------------------ SUBJECT: 11 RUN: 0 FOLD: 0 Correctly Classified Instances 3042 89.4706 % Incorrectly Classified Instances 358 10.5294 % Kappa statistic 0.8772 Mean absolute error 0.0301 Root mean squared error 0.1734 Relative absolute error 12.2843 % Root relative squared error 49.5668 % Total Number of Instances 3400 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.947 0.027 0.853 0.947 0.898 0.96 chest 0.77 0.023 0.849 0.77 0.808 0.874 forearm 0.94 0.019 0.892 0.94 0.916 0.961 head 0.928 0.004 0.972 0.928 0.95 0.962 shin 0.947 0.011 0.935 0.947 0.941 0.968 thigh 0.805 0.021 0.865 0.805 0.834 0.892 upperarm 0.926 0.018 0.897 0.926 0.911 0.954 waist Weighted Avg. 0.895 0.018 0.895 0.895 0.894 0.939 === Confusion Matrix === a b c d e f g <-- classified as 460 2 3 0 3 16 2 | a = chest 13 372 33 4 6 21 34 | b = forearm 4 12 456 1 0 7 5 | c = head 5 3 3 452 12 10 2 | d = shin 6 4 0 7 460 7 2 | e = thigh 47 27 4 1 9 391 7 | f = upperarm 4 18 12 0 2 0 451 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3037 89.3235 % Incorrectly Classified Instances 363 10.6765 % Kappa statistic 0.8754 Mean absolute error 0.0305 Root mean squared error 0.1747 Relative absolute error 12.4559 % Root relative squared error 49.9117 % Total Number of Instances 3400 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.909 0.017 0.9 0.909 0.905 0.946 chest 0.793 0.029 0.821 0.793 0.807 0.882 forearm 0.928 0.021 0.879 0.928 0.903 0.953 head 0.94 0.006 0.962 0.94 0.951 0.967 shin 0.928 0.008 0.949 0.928 0.939 0.96 thigh 0.842 0.024 0.856 0.842 0.849 0.909 upperarm 0.912 0.02 0.886 0.912 0.899 0.946 waist Weighted Avg. 0.893 0.018 0.893 0.893 0.893 0.938 === Confusion Matrix === a b c d e f g <-- classified as 441 3 7 1 3 29 1 | a = chest 6 384 29 5 4 20 36 | b = forearm 3 16 450 2 0 9 5 | c = head 1 6 4 458 11 3 4 | d = shin 5 8 2 7 451 7 6 | e = thigh 30 27 7 2 6 409 5 | f = upperarm 4 24 13 1 0 1 444 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3058 89.9676 % Incorrectly Classified Instances 341 10.0324 % Kappa statistic 0.883 Mean absolute error 0.0287 Root mean squared error 0.1693 Relative absolute error 11.7044 % Root relative squared error 48.3827 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.928 0.022 0.877 0.928 0.902 0.953 chest 0.798 0.022 0.856 0.798 0.826 0.888 forearm 0.928 0.014 0.915 0.928 0.921 0.957 head 0.955 0.004 0.973 0.955 0.964 0.975 shin 0.942 0.013 0.922 0.942 0.932 0.964 thigh 0.837 0.023 0.86 0.837 0.849 0.907 upperarm 0.909 0.018 0.893 0.909 0.901 0.946 waist Weighted Avg. 0.9 0.017 0.899 0.9 0.899 0.941 === Confusion Matrix === a b c d e f g <-- classified as 450 2 0 0 10 22 1 | a = chest 15 386 21 4 10 19 29 | b = forearm 3 10 450 0 0 11 11 | c = head 2 5 1 465 10 2 2 | d = shin 4 5 4 3 458 8 4 | e = thigh 35 19 7 5 7 407 6 | f = upperarm 4 24 9 1 2 4 442 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3019 88.8202 % Incorrectly Classified Instances 380 11.1798 % Kappa statistic 0.8696 Mean absolute error 0.0319 Root mean squared error 0.1787 Relative absolute error 13.0431 % Root relative squared error 51.0746 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.934 0.023 0.87 0.934 0.901 0.955 chest 0.783 0.026 0.831 0.783 0.806 0.878 forearm 0.928 0.015 0.911 0.928 0.919 0.956 head 0.936 0.005 0.97 0.936 0.953 0.966 shin 0.901 0.01 0.94 0.901 0.92 0.946 thigh 0.825 0.028 0.829 0.825 0.827 0.898 upperarm 0.909 0.023 0.87 0.909 0.889 0.943 waist Weighted Avg. 0.888 0.019 0.889 0.888 0.888 0.935 === Confusion Matrix === a b c d e f g <-- classified as 454 4 2 1 4 19 2 | a = chest 17 379 21 1 4 27 35 | b = forearm 5 14 450 1 0 9 6 | c = head 2 4 2 455 11 9 3 | d = shin 4 9 0 8 438 15 12 | e = thigh 36 25 7 1 8 401 8 | f = upperarm 4 21 12 2 1 4 442 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3045 89.5852 % Incorrectly Classified Instances 354 10.4148 % Kappa statistic 0.8785 Mean absolute error 0.0298 Root mean squared error 0.1725 Relative absolute error 12.1506 % Root relative squared error 49.2963 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.938 0.022 0.875 0.938 0.906 0.958 chest 0.758 0.027 0.825 0.758 0.79 0.866 forearm 0.918 0.016 0.903 0.918 0.91 0.951 head 0.957 0.004 0.973 0.957 0.965 0.976 shin 0.928 0.011 0.934 0.928 0.931 0.958 thigh 0.848 0.019 0.884 0.848 0.866 0.915 upperarm 0.924 0.022 0.875 0.924 0.899 0.951 waist Weighted Avg. 0.896 0.017 0.896 0.896 0.895 0.939 === Confusion Matrix === a b c d e f g <-- classified as 456 8 0 0 4 18 0 | a = chest 14 367 29 6 15 17 36 | b = forearm 3 17 445 1 1 7 11 | c = head 0 5 2 465 8 3 3 | d = shin 13 6 2 4 451 7 3 | e = thigh 29 23 5 2 4 412 11 | f = upperarm 6 19 10 0 0 2 449 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3036 89.3204 % Incorrectly Classified Instances 363 10.6796 % Kappa statistic 0.8754 Mean absolute error 0.0305 Root mean squared error 0.1747 Relative absolute error 12.4596 % Root relative squared error 49.919 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.951 0.029 0.846 0.951 0.895 0.961 chest 0.795 0.028 0.823 0.795 0.809 0.883 forearm 0.915 0.019 0.892 0.915 0.903 0.948 head 0.965 0.004 0.975 0.965 0.97 0.98 shin 0.938 0.01 0.94 0.938 0.939 0.964 thigh 0.815 0.017 0.89 0.815 0.851 0.899 upperarm 0.872 0.018 0.891 0.872 0.881 0.927 waist Weighted Avg. 0.893 0.018 0.894 0.893 0.893 0.938 === Confusion Matrix === a b c d e f g <-- classified as 462 1 2 1 0 19 1 | a = chest 17 385 26 2 10 18 26 | b = forearm 4 22 444 2 1 1 11 | c = head 2 0 2 469 9 3 1 | d = shin 8 7 3 3 456 5 4 | e = thigh 42 25 5 2 7 396 9 | f = upperarm 11 28 16 2 2 3 424 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3039 89.4086 % Incorrectly Classified Instances 360 10.5914 % Kappa statistic 0.8764 Mean absolute error 0.0303 Root mean squared error 0.174 Relative absolute error 12.3566 % Root relative squared error 49.7123 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.949 0.029 0.844 0.949 0.893 0.96 chest 0.771 0.026 0.829 0.771 0.799 0.872 forearm 0.922 0.018 0.898 0.922 0.909 0.952 head 0.947 0.007 0.96 0.947 0.953 0.97 shin 0.942 0.011 0.937 0.942 0.939 0.966 thigh 0.827 0.018 0.884 0.827 0.854 0.904 upperarm 0.901 0.015 0.909 0.901 0.905 0.943 waist Weighted Avg. 0.894 0.018 0.894 0.894 0.893 0.938 === Confusion Matrix === a b c d e f g <-- classified as 461 3 2 0 4 16 0 | a = chest 17 373 28 7 11 20 28 | b = forearm 1 27 447 0 0 5 5 | c = head 8 4 4 460 5 4 1 | d = shin 4 8 1 6 458 5 4 | e = thigh 49 10 6 5 8 402 6 | f = upperarm 6 25 10 1 3 3 438 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3005 88.4084 % Incorrectly Classified Instances 394 11.5916 % Kappa statistic 0.8648 Mean absolute error 0.0331 Root mean squared error 0.182 Relative absolute error 13.5236 % Root relative squared error 52.0069 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.922 0.03 0.836 0.922 0.877 0.946 chest 0.758 0.03 0.81 0.758 0.783 0.864 forearm 0.922 0.015 0.912 0.922 0.917 0.954 head 0.94 0.003 0.979 0.94 0.959 0.968 shin 0.922 0.013 0.922 0.922 0.922 0.954 thigh 0.831 0.018 0.884 0.831 0.857 0.907 upperarm 0.893 0.026 0.851 0.893 0.871 0.933 waist Weighted Avg. 0.884 0.019 0.885 0.884 0.884 0.932 === Confusion Matrix === a b c d e f g <-- classified as 448 5 1 0 5 26 1 | a = chest 22 367 18 4 14 13 46 | b = forearm 6 13 448 1 1 7 10 | c = head 5 5 3 457 14 1 1 | d = shin 10 13 1 2 447 5 7 | e = thigh 39 18 10 2 2 404 11 | f = upperarm 6 32 10 1 2 1 434 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3051 89.7617 % Incorrectly Classified Instances 348 10.2383 % Kappa statistic 0.8806 Mean absolute error 0.0293 Root mean squared error 0.171 Relative absolute error 11.9447 % Root relative squared error 48.8768 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.942 0.028 0.847 0.942 0.892 0.957 chest 0.802 0.024 0.849 0.802 0.825 0.889 forearm 0.934 0.019 0.89 0.934 0.912 0.957 head 0.973 0.005 0.969 0.973 0.971 0.984 shin 0.918 0.007 0.955 0.918 0.936 0.955 thigh 0.816 0.02 0.87 0.816 0.843 0.898 upperarm 0.897 0.015 0.906 0.897 0.902 0.941 waist Weighted Avg. 0.898 0.017 0.898 0.898 0.897 0.94 === Confusion Matrix === a b c d e f g <-- classified as 458 1 4 1 2 18 2 | a = chest 15 388 26 4 11 14 26 | b = forearm 4 18 454 0 0 4 6 | c = head 5 1 1 473 3 2 1 | d = shin 10 6 1 7 446 13 3 | e = thigh 43 24 9 3 3 396 7 | f = upperarm 6 19 15 0 2 8 436 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3054 89.85 % Incorrectly Classified Instances 345 10.15 % Kappa statistic 0.8816 Mean absolute error 0.029 Root mean squared error 0.1703 Relative absolute error 11.8417 % Root relative squared error 48.6657 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.938 0.025 0.864 0.938 0.899 0.957 chest 0.787 0.025 0.839 0.787 0.812 0.881 forearm 0.934 0.021 0.883 0.934 0.908 0.957 head 0.955 0.003 0.981 0.955 0.968 0.976 shin 0.934 0.011 0.932 0.934 0.933 0.961 thigh 0.817 0.016 0.896 0.817 0.855 0.901 upperarm 0.924 0.018 0.896 0.924 0.91 0.953 waist Weighted Avg. 0.898 0.017 0.899 0.898 0.898 0.941 === Confusion Matrix === a b c d e f g <-- classified as 456 4 5 0 4 16 1 | a = chest 15 380 36 0 10 14 28 | b = forearm 3 14 453 0 0 3 12 | c = head 5 1 2 464 8 4 2 | d = shin 6 8 1 7 454 6 4 | e = thigh 37 27 9 2 9 397 5 | f = upperarm 6 19 7 0 2 3 450 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 1 FOLD: 0 Correctly Classified Instances 3025 88.9706 % Incorrectly Classified Instances 375 11.0294 % Kappa statistic 0.8713 Mean absolute error 0.0315 Root mean squared error 0.1775 Relative absolute error 12.8677 % Root relative squared error 50.73 % Total Number of Instances 3400 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.924 0.027 0.852 0.924 0.886 0.948 chest 0.771 0.026 0.833 0.771 0.8 0.872 forearm 0.928 0.015 0.913 0.928 0.92 0.957 head 0.938 0.006 0.962 0.938 0.95 0.966 shin 0.928 0.018 0.897 0.928 0.912 0.955 thigh 0.846 0.016 0.895 0.846 0.87 0.915 upperarm 0.893 0.021 0.877 0.893 0.885 0.936 waist Weighted Avg. 0.89 0.018 0.89 0.89 0.889 0.936 === Confusion Matrix === a b c d e f g <-- classified as 448 6 3 0 11 17 0 | a = chest 20 373 24 2 11 13 41 | b = forearm 5 19 450 2 2 3 4 | c = head 6 2 0 457 14 5 3 | d = shin 3 6 1 10 451 9 6 | e = thigh 35 18 5 2 8 411 7 | f = upperarm 9 24 10 2 6 1 435 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3045 89.5588 % Incorrectly Classified Instances 355 10.4412 % Kappa statistic 0.8782 Mean absolute error 0.0298 Root mean squared error 0.1727 Relative absolute error 12.1814 % Root relative squared error 49.3586 % Total Number of Instances 3400 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.936 0.022 0.875 0.936 0.905 0.957 chest 0.781 0.027 0.825 0.781 0.803 0.877 forearm 0.934 0.02 0.888 0.934 0.911 0.957 head 0.953 0.008 0.951 0.953 0.952 0.972 shin 0.926 0.008 0.953 0.926 0.939 0.959 thigh 0.815 0.02 0.874 0.815 0.843 0.898 upperarm 0.924 0.017 0.9 0.924 0.912 0.953 waist Weighted Avg. 0.896 0.017 0.895 0.896 0.895 0.939 === Confusion Matrix === a b c d e f g <-- classified as 455 7 3 1 3 16 1 | a = chest 14 378 27 5 8 22 30 | b = forearm 3 17 453 1 0 5 6 | c = head 2 6 5 463 6 4 0 | d = shin 2 12 2 11 450 7 2 | e = thigh 39 21 10 5 4 396 11 | f = upperarm 5 17 10 1 1 3 450 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3022 88.9085 % Incorrectly Classified Instances 377 11.0915 % Kappa statistic 0.8706 Mean absolute error 0.0317 Root mean squared error 0.178 Relative absolute error 12.9401 % Root relative squared error 50.8726 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.928 0.023 0.869 0.928 0.898 0.952 chest 0.758 0.03 0.81 0.758 0.783 0.864 forearm 0.922 0.017 0.899 0.922 0.91 0.952 head 0.953 0.003 0.983 0.953 0.968 0.975 shin 0.932 0.012 0.928 0.932 0.93 0.96 thigh 0.829 0.02 0.874 0.829 0.851 0.905 upperarm 0.901 0.025 0.859 0.901 0.88 0.938 waist Weighted Avg. 0.889 0.018 0.889 0.889 0.889 0.935 === Confusion Matrix === a b c d e f g <-- classified as 451 8 1 0 6 19 1 | a = chest 14 367 37 2 8 18 38 | b = forearm 5 17 447 0 0 6 10 | c = head 2 3 2 463 9 5 2 | d = shin 10 5 0 3 453 7 8 | e = thigh 29 28 3 3 7 403 13 | f = upperarm 8 25 7 0 5 3 438 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3046 89.6146 % Incorrectly Classified Instances 353 10.3854 % Kappa statistic 0.8788 Mean absolute error 0.0297 Root mean squared error 0.1723 Relative absolute error 12.1163 % Root relative squared error 49.2266 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.959 0.026 0.858 0.959 0.906 0.966 chest 0.804 0.028 0.826 0.804 0.815 0.888 forearm 0.932 0.015 0.911 0.932 0.922 0.958 head 0.938 0.004 0.976 0.938 0.957 0.967 shin 0.93 0.012 0.928 0.93 0.929 0.959 thigh 0.811 0.018 0.883 0.811 0.845 0.896 upperarm 0.899 0.018 0.894 0.899 0.896 0.941 waist Weighted Avg. 0.896 0.017 0.897 0.896 0.896 0.939 === Confusion Matrix === a b c d e f g <-- classified as 466 1 2 0 1 16 0 | a = chest 17 389 20 2 10 20 26 | b = forearm 5 13 452 2 0 4 9 | c = head 4 6 2 456 12 4 2 | d = shin 9 8 0 7 452 5 5 | e = thigh 37 25 9 0 11 394 10 | f = upperarm 5 29 11 0 1 3 437 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3051 89.7617 % Incorrectly Classified Instances 348 10.2383 % Kappa statistic 0.8806 Mean absolute error 0.0293 Root mean squared error 0.171 Relative absolute error 11.9447 % Root relative squared error 48.8768 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.926 0.023 0.869 0.926 0.896 0.951 chest 0.818 0.026 0.839 0.818 0.828 0.896 forearm 0.915 0.015 0.912 0.915 0.914 0.95 head 0.951 0.006 0.965 0.951 0.958 0.972 shin 0.94 0.011 0.936 0.94 0.938 0.965 thigh 0.827 0.025 0.848 0.827 0.837 0.901 upperarm 0.905 0.014 0.915 0.905 0.91 0.946 waist Weighted Avg. 0.898 0.017 0.898 0.898 0.897 0.94 === Confusion Matrix === a b c d e f g <-- classified as 450 3 2 0 6 25 0 | a = chest 14 396 20 4 8 20 22 | b = forearm 0 21 444 1 0 12 7 | c = head 1 4 2 462 11 5 1 | d = shin 2 7 2 6 457 8 4 | e = thigh 44 20 4 4 5 402 7 | f = upperarm 7 21 13 2 1 2 440 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3053 89.8205 % Incorrectly Classified Instances 346 10.1795 % Kappa statistic 0.8812 Mean absolute error 0.0291 Root mean squared error 0.1705 Relative absolute error 11.876 % Root relative squared error 48.7361 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.926 0.022 0.877 0.926 0.901 0.952 chest 0.8 0.031 0.811 0.8 0.805 0.884 forearm 0.932 0.014 0.919 0.932 0.925 0.959 head 0.953 0.004 0.973 0.953 0.963 0.974 shin 0.932 0.007 0.956 0.932 0.944 0.962 thigh 0.827 0.02 0.874 0.827 0.85 0.904 upperarm 0.918 0.021 0.88 0.918 0.898 0.948 waist Weighted Avg. 0.898 0.017 0.899 0.898 0.898 0.941 === Confusion Matrix === a b c d e f g <-- classified as 450 9 3 0 1 19 4 | a = chest 8 387 20 4 10 17 38 | b = forearm 1 16 452 0 0 7 9 | c = head 6 4 3 463 7 1 2 | d = shin 8 9 1 5 453 9 1 | e = thigh 38 26 6 4 3 402 7 | f = upperarm 2 26 7 0 0 5 446 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3034 89.2615 % Incorrectly Classified Instances 365 10.7385 % Kappa statistic 0.8747 Mean absolute error 0.0307 Root mean squared error 0.1752 Relative absolute error 12.5282 % Root relative squared error 50.0564 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.959 0.025 0.866 0.959 0.91 0.967 chest 0.779 0.027 0.825 0.779 0.801 0.876 forearm 0.922 0.019 0.892 0.922 0.907 0.952 head 0.949 0.003 0.981 0.949 0.964 0.973 shin 0.928 0.01 0.938 0.928 0.933 0.959 thigh 0.806 0.018 0.883 0.806 0.843 0.894 upperarm 0.905 0.023 0.866 0.905 0.885 0.941 waist Weighted Avg. 0.893 0.018 0.893 0.893 0.892 0.937 === Confusion Matrix === a b c d e f g <-- classified as 466 1 1 0 4 12 2 | a = chest 12 377 23 5 9 15 43 | b = forearm 4 18 448 0 0 10 6 | c = head 5 3 3 461 9 2 3 | d = shin 7 9 1 3 451 7 8 | e = thigh 40 29 10 1 8 391 6 | f = upperarm 4 20 16 0 0 6 440 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3027 89.0556 % Incorrectly Classified Instances 372 10.9444 % Kappa statistic 0.8723 Mean absolute error 0.0313 Root mean squared error 0.1768 Relative absolute error 12.7685 % Root relative squared error 50.5341 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.922 0.025 0.86 0.922 0.89 0.948 chest 0.795 0.026 0.835 0.795 0.815 0.885 forearm 0.916 0.02 0.886 0.916 0.901 0.948 head 0.949 0.006 0.964 0.949 0.956 0.971 shin 0.934 0.009 0.948 0.934 0.941 0.963 thigh 0.823 0.023 0.858 0.823 0.84 0.9 upperarm 0.895 0.02 0.882 0.895 0.889 0.938 waist Weighted Avg. 0.891 0.018 0.891 0.891 0.89 0.936 === Confusion Matrix === a b c d e f g <-- classified as 448 2 5 0 3 25 3 | a = chest 13 385 28 5 8 17 28 | b = forearm 3 13 445 2 1 7 15 | c = head 3 2 2 461 9 6 3 | d = shin 8 6 2 6 453 6 4 | e = thigh 43 29 4 2 3 400 5 | f = upperarm 3 24 16 2 1 5 435 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3045 89.5852 % Incorrectly Classified Instances 354 10.4148 % Kappa statistic 0.8785 Mean absolute error 0.0298 Root mean squared error 0.1725 Relative absolute error 12.1506 % Root relative squared error 49.2963 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.914 0.021 0.877 0.914 0.895 0.946 chest 0.776 0.025 0.837 0.776 0.806 0.876 forearm 0.934 0.02 0.885 0.934 0.909 0.957 head 0.955 0.004 0.977 0.955 0.966 0.976 shin 0.928 0.012 0.93 0.928 0.929 0.958 thigh 0.846 0.023 0.862 0.846 0.854 0.912 upperarm 0.918 0.017 0.901 0.918 0.909 0.95 waist Weighted Avg. 0.896 0.017 0.896 0.896 0.895 0.939 === Confusion Matrix === a b c d e f g <-- classified as 444 4 4 0 6 27 1 | a = chest 11 375 35 3 12 18 29 | b = forearm 3 16 453 1 0 5 7 | c = head 4 2 3 465 8 3 2 | d = shin 7 6 4 6 451 10 2 | e = thigh 34 21 6 1 5 411 8 | f = upperarm 3 24 7 0 3 3 446 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3013 88.6437 % Incorrectly Classified Instances 386 11.3563 % Kappa statistic 0.8675 Mean absolute error 0.0324 Root mean squared error 0.1801 Relative absolute error 13.249 % Root relative squared error 51.4762 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.928 0.026 0.854 0.928 0.889 0.951 chest 0.762 0.029 0.812 0.762 0.786 0.866 forearm 0.92 0.02 0.885 0.92 0.902 0.95 head 0.951 0.002 0.985 0.951 0.968 0.974 shin 0.901 0.01 0.938 0.901 0.919 0.946 thigh 0.835 0.025 0.848 0.835 0.841 0.905 upperarm 0.908 0.02 0.886 0.908 0.897 0.944 waist Weighted Avg. 0.886 0.019 0.887 0.886 0.886 0.934 === Confusion Matrix === a b c d e f g <-- classified as 450 5 2 0 7 21 0 | a = chest 20 368 29 3 9 24 30 | b = forearm 4 22 446 0 0 8 5 | c = head 1 4 3 463 7 4 5 | d = shin 7 13 3 3 438 11 11 | e = thigh 39 19 9 1 6 406 6 | f = upperarm 6 22 12 0 0 5 442 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 2 FOLD: 0 Correctly Classified Instances 3036 89.2941 % Incorrectly Classified Instances 364 10.7059 % Kappa statistic 0.8751 Mean absolute error 0.0306 Root mean squared error 0.1749 Relative absolute error 12.4902 % Root relative squared error 49.9804 % Total Number of Instances 3400 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.946 0.022 0.878 0.946 0.911 0.962 chest 0.76 0.023 0.844 0.76 0.8 0.869 forearm 0.938 0.022 0.878 0.938 0.907 0.958 head 0.94 0.005 0.968 0.94 0.954 0.968 shin 0.93 0.012 0.93 0.93 0.93 0.959 thigh 0.833 0.023 0.858 0.833 0.846 0.905 upperarm 0.901 0.018 0.892 0.901 0.897 0.942 waist Weighted Avg. 0.893 0.018 0.893 0.893 0.892 0.938 === Confusion Matrix === a b c d e f g <-- classified as 459 3 3 0 4 16 0 | a = chest 6 368 36 7 11 24 32 | b = forearm 2 15 455 1 0 7 5 | c = head 6 4 4 458 7 4 4 | d = shin 3 5 1 6 452 12 7 | e = thigh 40 17 11 0 8 405 5 | f = upperarm 7 24 8 1 4 4 439 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3018 88.7647 % Incorrectly Classified Instances 382 11.2353 % Kappa statistic 0.8689 Mean absolute error 0.0321 Root mean squared error 0.1792 Relative absolute error 13.1078 % Root relative squared error 51.2013 % Total Number of Instances 3400 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.915 0.024 0.864 0.915 0.889 0.946 chest 0.756 0.028 0.817 0.756 0.785 0.864 forearm 0.942 0.019 0.891 0.942 0.916 0.962 head 0.938 0.004 0.976 0.938 0.957 0.967 shin 0.909 0.013 0.919 0.909 0.914 0.948 thigh 0.827 0.023 0.855 0.827 0.841 0.902 upperarm 0.924 0.019 0.889 0.924 0.906 0.952 waist Weighted Avg. 0.888 0.019 0.887 0.888 0.887 0.934 === Confusion Matrix === a b c d e f g <-- classified as 444 6 1 0 3 30 1 | a = chest 18 366 33 3 12 17 35 | b = forearm 2 18 457 2 0 5 1 | c = head 0 3 2 457 16 4 5 | d = shin 9 12 5 2 442 10 6 | e = thigh 39 25 2 3 7 402 8 | f = upperarm 2 18 13 1 1 2 450 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3032 89.2027 % Incorrectly Classified Instances 367 10.7973 % Kappa statistic 0.874 Mean absolute error 0.0308 Root mean squared error 0.1756 Relative absolute error 12.5968 % Root relative squared error 50.1933 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.932 0.026 0.855 0.932 0.892 0.953 chest 0.806 0.028 0.828 0.806 0.817 0.889 forearm 0.915 0.015 0.912 0.915 0.914 0.95 head 0.953 0.004 0.975 0.953 0.964 0.974 shin 0.936 0.012 0.927 0.936 0.931 0.962 thigh 0.809 0.022 0.86 0.809 0.834 0.893 upperarm 0.893 0.019 0.889 0.893 0.891 0.937 waist Weighted Avg. 0.892 0.018 0.892 0.892 0.892 0.937 === Confusion Matrix === a b c d e f g <-- classified as 453 4 3 0 5 21 0 | a = chest 16 390 24 2 5 22 25 | b = forearm 3 20 444 1 0 5 12 | c = head 5 2 1 463 11 4 0 | d = shin 7 6 0 7 455 6 5 | e = thigh 39 24 4 2 12 393 12 | f = upperarm 7 25 11 0 3 6 434 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3043 89.5263 % Incorrectly Classified Instances 356 10.4737 % Kappa statistic 0.8778 Mean absolute error 0.0299 Root mean squared error 0.173 Relative absolute error 12.2193 % Root relative squared error 49.4354 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.922 0.019 0.891 0.922 0.906 0.951 chest 0.781 0.029 0.818 0.781 0.799 0.876 forearm 0.92 0.018 0.896 0.92 0.907 0.951 head 0.947 0.004 0.973 0.947 0.959 0.971 shin 0.947 0.015 0.913 0.947 0.929 0.966 thigh 0.84 0.018 0.887 0.84 0.863 0.911 upperarm 0.912 0.019 0.888 0.912 0.899 0.946 waist Weighted Avg. 0.895 0.017 0.895 0.895 0.895 0.939 === Confusion Matrix === a b c d e f g <-- classified as 448 6 5 1 6 19 1 | a = chest 15 378 31 2 14 12 32 | b = forearm 0 21 446 1 0 8 9 | c = head 5 4 2 460 13 2 0 | d = shin 1 5 0 8 460 6 6 | e = thigh 30 27 4 1 8 408 8 | f = upperarm 4 21 10 0 3 5 443 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3045 89.5852 % Incorrectly Classified Instances 354 10.4148 % Kappa statistic 0.8785 Mean absolute error 0.0298 Root mean squared error 0.1725 Relative absolute error 12.1506 % Root relative squared error 49.2963 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.934 0.022 0.878 0.934 0.905 0.956 chest 0.787 0.03 0.812 0.787 0.8 0.879 forearm 0.94 0.018 0.896 0.94 0.918 0.961 head 0.951 0.005 0.969 0.951 0.96 0.973 shin 0.916 0.011 0.935 0.916 0.925 0.952 thigh 0.858 0.018 0.887 0.858 0.872 0.92 upperarm 0.885 0.018 0.894 0.885 0.889 0.934 waist Weighted Avg. 0.896 0.017 0.896 0.896 0.896 0.939 === Confusion Matrix === a b c d e f g <-- classified as 454 7 3 0 6 16 0 | a = chest 15 381 29 4 10 15 30 | b = forearm 4 13 456 0 1 5 6 | c = head 3 4 2 462 7 7 1 | d = shin 7 9 2 9 445 8 6 | e = thigh 24 26 3 1 7 417 8 | f = upperarm 10 29 14 1 0 2 430 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3041 89.4675 % Incorrectly Classified Instances 358 10.5325 % Kappa statistic 0.8771 Mean absolute error 0.0301 Root mean squared error 0.1735 Relative absolute error 12.2879 % Root relative squared error 49.574 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.944 0.024 0.866 0.944 0.904 0.96 chest 0.767 0.027 0.823 0.767 0.794 0.87 forearm 0.918 0.018 0.897 0.918 0.907 0.95 head 0.955 0.003 0.981 0.955 0.968 0.976 shin 0.949 0.012 0.931 0.949 0.94 0.968 thigh 0.817 0.019 0.88 0.817 0.847 0.899 upperarm 0.914 0.02 0.883 0.914 0.898 0.947 waist Weighted Avg. 0.895 0.018 0.894 0.895 0.894 0.939 === Confusion Matrix === a b c d e f g <-- classified as 459 1 8 0 3 15 0 | a = chest 15 371 28 1 13 21 35 | b = forearm 6 16 445 1 1 8 8 | c = head 2 3 2 464 9 4 2 | d = shin 6 7 0 3 461 4 5 | e = thigh 37 31 3 3 6 397 9 | f = upperarm 5 22 10 1 2 2 444 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3033 89.2321 % Incorrectly Classified Instances 366 10.7679 % Kappa statistic 0.8744 Mean absolute error 0.0308 Root mean squared error 0.1754 Relative absolute error 12.5625 % Root relative squared error 50.1249 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.922 0.024 0.865 0.922 0.892 0.949 chest 0.804 0.028 0.824 0.804 0.814 0.888 forearm 0.924 0.018 0.898 0.924 0.911 0.953 head 0.953 0.006 0.965 0.953 0.959 0.973 shin 0.928 0.011 0.932 0.928 0.93 0.958 thigh 0.807 0.02 0.871 0.807 0.838 0.893 upperarm 0.909 0.019 0.891 0.909 0.9 0.945 waist Weighted Avg. 0.892 0.018 0.892 0.892 0.892 0.937 === Confusion Matrix === a b c d e f g <-- classified as 448 3 5 0 5 23 2 | a = chest 14 389 21 3 11 12 34 | b = forearm 1 21 448 0 1 5 9 | c = head 3 4 0 463 11 2 3 | d = shin 4 4 2 8 451 13 4 | e = thigh 45 26 10 6 5 392 2 | f = upperarm 3 25 13 0 0 3 442 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3022 88.9085 % Incorrectly Classified Instances 377 11.0915 % Kappa statistic 0.8706 Mean absolute error 0.0317 Root mean squared error 0.178 Relative absolute error 12.9401 % Root relative squared error 50.8726 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.92 0.025 0.858 0.92 0.888 0.947 chest 0.768 0.025 0.837 0.768 0.801 0.872 forearm 0.936 0.018 0.899 0.936 0.917 0.959 head 0.955 0.006 0.965 0.955 0.96 0.974 shin 0.932 0.011 0.932 0.932 0.932 0.96 thigh 0.821 0.022 0.862 0.821 0.841 0.9 upperarm 0.891 0.023 0.868 0.891 0.879 0.934 waist Weighted Avg. 0.889 0.018 0.889 0.889 0.888 0.935 === Confusion Matrix === a b c d e f g <-- classified as 447 4 2 0 8 25 0 | a = chest 12 371 16 5 9 23 47 | b = forearm 6 14 455 0 0 8 3 | c = head 0 2 6 464 8 2 4 | d = shin 10 5 4 6 453 4 4 | e = thigh 41 20 8 4 6 399 8 | f = upperarm 5 27 15 2 2 2 433 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3037 89.3498 % Incorrectly Classified Instances 362 10.6502 % Kappa statistic 0.8757 Mean absolute error 0.0304 Root mean squared error 0.1744 Relative absolute error 12.4252 % Root relative squared error 49.8502 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.938 0.028 0.846 0.938 0.89 0.955 chest 0.822 0.025 0.843 0.822 0.832 0.898 forearm 0.899 0.016 0.903 0.899 0.901 0.942 head 0.951 0.005 0.969 0.951 0.96 0.973 shin 0.924 0.01 0.937 0.924 0.931 0.957 thigh 0.8 0.02 0.868 0.8 0.833 0.89 upperarm 0.92 0.019 0.892 0.92 0.906 0.951 waist Weighted Avg. 0.893 0.018 0.894 0.893 0.893 0.938 === Confusion Matrix === a b c d e f g <-- classified as 456 3 3 0 4 18 2 | a = chest 10 397 20 3 10 16 27 | b = forearm 4 21 437 2 0 8 14 | c = head 6 4 2 462 7 4 1 | d = shin 7 7 1 6 449 12 4 | e = thigh 51 16 13 3 8 389 6 | f = upperarm 5 23 8 1 1 1 447 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3053 89.8205 % Incorrectly Classified Instances 346 10.1795 % Kappa statistic 0.8812 Mean absolute error 0.0291 Root mean squared error 0.1705 Relative absolute error 11.876 % Root relative squared error 48.7361 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.938 0.025 0.864 0.938 0.899 0.957 chest 0.769 0.024 0.844 0.769 0.804 0.872 forearm 0.934 0.017 0.902 0.934 0.918 0.959 head 0.93 0.004 0.976 0.93 0.953 0.963 shin 0.938 0.01 0.938 0.938 0.938 0.964 thigh 0.847 0.021 0.869 0.847 0.858 0.913 upperarm 0.93 0.018 0.895 0.93 0.912 0.956 waist Weighted Avg. 0.898 0.017 0.898 0.898 0.898 0.941 === Confusion Matrix === a b c d e f g <-- classified as 456 8 1 0 3 17 1 | a = chest 20 372 29 5 10 19 29 | b = forearm 1 13 453 0 1 7 10 | c = head 4 7 1 453 10 10 2 | d = shin 10 5 2 5 455 7 1 | e = thigh 33 17 8 1 5 411 10 | f = upperarm 4 19 8 0 1 2 453 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 3 FOLD: 0 Correctly Classified Instances 3027 89.0294 % Incorrectly Classified Instances 373 10.9706 % Kappa statistic 0.872 Mean absolute error 0.0313 Root mean squared error 0.177 Relative absolute error 12.799 % Root relative squared error 50.5945 % Total Number of Instances 3400 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.942 0.024 0.869 0.942 0.904 0.959 chest 0.764 0.027 0.824 0.764 0.793 0.869 forearm 0.909 0.019 0.891 0.909 0.9 0.945 head 0.963 0.006 0.963 0.963 0.963 0.978 shin 0.942 0.01 0.942 0.942 0.942 0.966 thigh 0.817 0.021 0.869 0.817 0.842 0.898 upperarm 0.893 0.022 0.87 0.893 0.881 0.935 waist Weighted Avg. 0.89 0.018 0.89 0.89 0.89 0.936 === Confusion Matrix === a b c d e f g <-- classified as 458 3 3 1 1 19 1 | a = chest 9 370 34 6 13 17 35 | b = forearm 4 21 441 2 0 5 12 | c = head 2 3 0 469 7 5 1 | d = shin 7 4 0 5 458 9 3 | e = thigh 39 28 3 2 4 397 13 | f = upperarm 8 20 14 2 3 5 434 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3046 89.5882 % Incorrectly Classified Instances 354 10.4118 % Kappa statistic 0.8785 Mean absolute error 0.0297 Root mean squared error 0.1725 Relative absolute error 12.1471 % Root relative squared error 49.2891 % Total Number of Instances 3400 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.928 0.02 0.884 0.928 0.906 0.954 chest 0.785 0.024 0.846 0.785 0.815 0.881 forearm 0.922 0.016 0.907 0.922 0.914 0.953 head 0.938 0.007 0.96 0.938 0.949 0.966 shin 0.926 0.011 0.934 0.926 0.93 0.957 thigh 0.842 0.02 0.874 0.842 0.857 0.911 upperarm 0.93 0.024 0.866 0.93 0.897 0.953 waist Weighted Avg. 0.896 0.017 0.896 0.896 0.895 0.939 === Confusion Matrix === a b c d e f g <-- classified as 451 2 2 2 4 24 1 | a = chest 14 380 19 3 8 19 41 | b = forearm 0 20 447 3 1 7 7 | c = head 6 3 6 457 11 2 2 | d = shin 5 13 2 3 450 7 6 | e = thigh 32 13 6 6 7 409 13 | f = upperarm 2 18 11 2 1 0 452 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3046 89.6146 % Incorrectly Classified Instances 353 10.3854 % Kappa statistic 0.8788 Mean absolute error 0.0297 Root mean squared error 0.1723 Relative absolute error 12.1163 % Root relative squared error 49.2266 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.932 0.027 0.852 0.932 0.89 0.952 chest 0.802 0.021 0.866 0.802 0.833 0.891 forearm 0.924 0.014 0.918 0.924 0.921 0.955 head 0.93 0.005 0.968 0.93 0.949 0.963 shin 0.928 0.012 0.928 0.928 0.928 0.958 thigh 0.839 0.024 0.855 0.839 0.847 0.908 upperarm 0.918 0.019 0.89 0.918 0.904 0.949 waist Weighted Avg. 0.896 0.017 0.897 0.896 0.896 0.939 === Confusion Matrix === a b c d e f g <-- classified as 453 4 4 0 5 18 2 | a = chest 15 388 19 4 11 20 27 | b = forearm 6 10 448 0 0 8 13 | c = head 6 2 4 453 14 6 2 | d = shin 8 4 1 7 451 12 3 | e = thigh 37 20 6 3 4 407 8 | f = upperarm 7 20 6 1 1 5 446 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3024 88.9673 % Incorrectly Classified Instances 375 11.0327 % Kappa statistic 0.8713 Mean absolute error 0.0315 Root mean squared error 0.1775 Relative absolute error 12.8714 % Root relative squared error 50.7374 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.942 0.028 0.848 0.942 0.893 0.957 chest 0.758 0.029 0.814 0.758 0.785 0.865 forearm 0.934 0.018 0.899 0.934 0.916 0.958 head 0.951 0.006 0.963 0.951 0.957 0.972 shin 0.918 0.009 0.945 0.918 0.931 0.954 thigh 0.825 0.016 0.897 0.825 0.86 0.905 upperarm 0.899 0.023 0.866 0.899 0.882 0.938 waist Weighted Avg. 0.89 0.018 0.89 0.89 0.889 0.936 === Confusion Matrix === a b c d e f g <-- classified as 457 7 2 0 5 14 0 | a = chest 19 367 26 4 10 16 42 | b = forearm 2 20 453 0 1 6 3 | c = head 5 4 1 462 6 5 3 | d = shin 6 7 2 10 446 3 12 | e = thigh 42 22 6 3 4 401 8 | f = upperarm 8 24 14 1 0 2 438 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3027 89.0556 % Incorrectly Classified Instances 372 10.9444 % Kappa statistic 0.8723 Mean absolute error 0.0313 Root mean squared error 0.1768 Relative absolute error 12.7685 % Root relative squared error 50.5341 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.924 0.028 0.847 0.924 0.884 0.948 chest 0.762 0.027 0.822 0.762 0.791 0.867 forearm 0.903 0.019 0.89 0.903 0.897 0.942 head 0.963 0.003 0.979 0.963 0.971 0.98 shin 0.928 0.009 0.947 0.928 0.938 0.96 thigh 0.831 0.021 0.871 0.831 0.851 0.905 upperarm 0.922 0.021 0.879 0.922 0.9 0.95 waist Weighted Avg. 0.891 0.018 0.891 0.891 0.89 0.936 === Confusion Matrix === a b c d e f g <-- classified as 448 6 2 0 6 21 2 | a = chest 18 369 33 2 7 19 36 | b = forearm 4 22 438 0 2 8 11 | c = head 2 3 2 468 7 2 2 | d = shin 9 8 0 6 451 8 4 | e = thigh 42 21 7 2 3 404 7 | f = upperarm 6 20 10 0 0 2 449 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3059 89.9971 % Incorrectly Classified Instances 340 10.0029 % Kappa statistic 0.8833 Mean absolute error 0.0286 Root mean squared error 0.1691 Relative absolute error 11.6701 % Root relative squared error 48.3117 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.951 0.023 0.873 0.951 0.91 0.964 chest 0.824 0.025 0.843 0.824 0.834 0.899 forearm 0.926 0.015 0.911 0.926 0.918 0.955 head 0.963 0.005 0.969 0.963 0.966 0.979 shin 0.924 0.011 0.932 0.924 0.928 0.956 thigh 0.817 0.018 0.886 0.817 0.85 0.9 upperarm 0.895 0.019 0.886 0.895 0.891 0.938 waist Weighted Avg. 0.9 0.017 0.9 0.9 0.9 0.942 === Confusion Matrix === a b c d e f g <-- classified as 462 1 1 0 4 17 1 | a = chest 11 398 16 3 12 12 31 | b = forearm 7 12 449 0 0 6 11 | c = head 3 2 2 468 6 4 1 | d = shin 3 11 2 10 449 10 1 | e = thigh 39 19 11 0 9 397 11 | f = upperarm 4 29 12 2 2 2 436 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3058 89.9676 % Incorrectly Classified Instances 341 10.0324 % Kappa statistic 0.883 Mean absolute error 0.0287 Root mean squared error 0.1693 Relative absolute error 11.7044 % Root relative squared error 48.3827 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.924 0.021 0.88 0.924 0.902 0.951 chest 0.803 0.024 0.845 0.803 0.824 0.889 forearm 0.942 0.022 0.879 0.942 0.91 0.96 head 0.969 0.006 0.963 0.969 0.966 0.981 shin 0.922 0.011 0.935 0.922 0.928 0.956 thigh 0.846 0.016 0.899 0.846 0.872 0.915 upperarm 0.891 0.018 0.895 0.891 0.893 0.937 waist Weighted Avg. 0.9 0.017 0.9 0.9 0.899 0.941 === Confusion Matrix === a b c d e f g <-- classified as 449 2 5 2 5 20 3 | a = chest 9 388 33 5 13 10 25 | b = forearm 3 14 458 1 0 4 6 | c = head 2 3 0 471 3 5 2 | d = shin 6 8 1 7 448 6 10 | e = thigh 36 19 7 1 7 411 5 | f = upperarm 5 25 17 2 3 1 433 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3034 89.2615 % Incorrectly Classified Instances 365 10.7385 % Kappa statistic 0.8747 Mean absolute error 0.0307 Root mean squared error 0.1752 Relative absolute error 12.5282 % Root relative squared error 50.0564 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.934 0.022 0.878 0.934 0.905 0.956 chest 0.785 0.027 0.828 0.785 0.806 0.879 forearm 0.934 0.021 0.883 0.934 0.908 0.957 head 0.942 0.003 0.979 0.942 0.96 0.969 shin 0.942 0.012 0.931 0.942 0.936 0.965 thigh 0.817 0.023 0.854 0.817 0.835 0.897 upperarm 0.893 0.018 0.895 0.893 0.894 0.938 waist Weighted Avg. 0.893 0.018 0.892 0.893 0.892 0.937 === Confusion Matrix === a b c d e f g <-- classified as 454 2 3 0 3 24 0 | a = chest 12 380 31 3 11 22 25 | b = forearm 0 15 454 0 0 7 10 | c = head 4 3 3 458 11 4 3 | d = shin 9 4 1 4 457 5 5 | e = thigh 31 29 11 2 8 397 8 | f = upperarm 7 26 11 1 1 6 434 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3017 88.7614 % Incorrectly Classified Instances 382 11.2386 % Kappa statistic 0.8689 Mean absolute error 0.0321 Root mean squared error 0.1792 Relative absolute error 13.1117 % Root relative squared error 51.2088 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.924 0.019 0.889 0.924 0.906 0.952 chest 0.742 0.026 0.827 0.742 0.782 0.858 forearm 0.944 0.023 0.872 0.944 0.907 0.961 head 0.947 0.005 0.966 0.947 0.956 0.971 shin 0.922 0.012 0.928 0.922 0.925 0.955 thigh 0.821 0.023 0.858 0.821 0.839 0.899 upperarm 0.914 0.023 0.869 0.914 0.891 0.945 waist Weighted Avg. 0.888 0.019 0.887 0.888 0.887 0.934 === Confusion Matrix === a b c d e f g <-- classified as 449 5 6 1 5 18 2 | a = chest 15 359 32 3 8 26 41 | b = forearm 1 9 458 3 0 4 10 | c = head 2 3 5 460 11 2 3 | d = shin 3 9 7 4 448 13 2 | e = thigh 31 27 7 5 8 399 9 | f = upperarm 4 22 10 0 3 3 444 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3050 89.7323 % Incorrectly Classified Instances 349 10.2677 % Kappa statistic 0.8802 Mean absolute error 0.0293 Root mean squared error 0.1713 Relative absolute error 11.979 % Root relative squared error 48.9469 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.92 0.025 0.858 0.92 0.888 0.947 chest 0.791 0.021 0.865 0.791 0.826 0.885 forearm 0.938 0.016 0.908 0.938 0.923 0.961 head 0.934 0.002 0.987 0.934 0.96 0.966 shin 0.944 0.012 0.931 0.944 0.938 0.966 thigh 0.831 0.024 0.854 0.831 0.843 0.904 upperarm 0.922 0.021 0.882 0.922 0.901 0.951 waist Weighted Avg. 0.897 0.017 0.898 0.897 0.897 0.94 === Confusion Matrix === a b c d e f g <-- classified as 447 2 3 0 6 25 3 | a = chest 18 383 22 2 8 19 32 | b = forearm 2 12 455 0 0 9 7 | c = head 4 5 2 454 11 5 5 | d = shin 7 5 0 2 459 8 5 | e = thigh 39 18 10 1 6 404 8 | f = upperarm 4 18 9 1 3 3 448 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 4 FOLD: 0 Correctly Classified Instances 3027 89.0294 % Incorrectly Classified Instances 373 10.9706 % Kappa statistic 0.872 Mean absolute error 0.0313 Root mean squared error 0.177 Relative absolute error 12.799 % Root relative squared error 50.5945 % Total Number of Instances 3400 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.936 0.028 0.849 0.936 0.89 0.954 chest 0.791 0.025 0.838 0.791 0.814 0.883 forearm 0.914 0.016 0.906 0.914 0.91 0.949 head 0.945 0.005 0.97 0.945 0.957 0.97 shin 0.912 0.012 0.927 0.912 0.919 0.95 thigh 0.831 0.023 0.856 0.831 0.843 0.904 upperarm 0.903 0.019 0.889 0.903 0.896 0.942 waist Weighted Avg. 0.89 0.018 0.891 0.89 0.89 0.936 === Confusion Matrix === a b c d e f g <-- classified as 454 2 3 0 3 23 0 | a = chest 16 382 23 4 15 18 25 | b = forearm 3 16 444 1 0 10 12 | c = head 4 4 0 460 10 5 4 | d = shin 8 12 1 7 443 8 7 | e = thigh 43 16 8 2 6 404 7 | f = upperarm 7 24 11 0 1 4 440 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3031 89.1471 % Incorrectly Classified Instances 369 10.8529 % Kappa statistic 0.8734 Mean absolute error 0.031 Root mean squared error 0.1761 Relative absolute error 12.6618 % Root relative squared error 50.3225 % Total Number of Instances 3400 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.944 0.026 0.86 0.944 0.9 0.959 chest 0.77 0.03 0.81 0.77 0.79 0.87 forearm 0.93 0.015 0.913 0.93 0.922 0.958 head 0.949 0.003 0.983 0.949 0.966 0.973 shin 0.949 0.013 0.924 0.949 0.936 0.968 thigh 0.8 0.022 0.859 0.8 0.829 0.889 upperarm 0.897 0.019 0.89 0.897 0.893 0.939 waist Weighted Avg. 0.891 0.018 0.891 0.891 0.891 0.937 === Confusion Matrix === a b c d e f g <-- classified as 459 3 1 0 6 16 1 | a = chest 16 372 22 1 12 25 35 | b = forearm 3 16 452 1 1 5 8 | c = head 1 3 3 462 11 4 3 | d = shin 3 6 2 4 461 8 2 | e = thigh 43 34 6 2 7 389 5 | f = upperarm 9 25 9 0 1 6 436 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3036 89.3204 % Incorrectly Classified Instances 363 10.6796 % Kappa statistic 0.8754 Mean absolute error 0.0305 Root mean squared error 0.1747 Relative absolute error 12.4596 % Root relative squared error 49.919 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.918 0.026 0.856 0.918 0.886 0.946 chest 0.795 0.024 0.848 0.795 0.821 0.886 forearm 0.93 0.018 0.895 0.93 0.912 0.956 head 0.942 0.003 0.979 0.942 0.96 0.969 shin 0.928 0.012 0.926 0.928 0.927 0.958 thigh 0.842 0.024 0.854 0.842 0.848 0.909 upperarm 0.897 0.017 0.897 0.897 0.897 0.94 waist Weighted Avg. 0.893 0.018 0.894 0.893 0.893 0.938 === Confusion Matrix === a b c d e f g <-- classified as 446 4 3 1 7 25 0 | a = chest 11 385 26 1 11 24 26 | b = forearm 7 12 451 0 0 8 7 | c = head 4 3 2 458 13 6 0 | d = shin 7 9 2 5 451 5 7 | e = thigh 39 15 5 3 5 409 10 | f = upperarm 7 26 15 0 0 2 436 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3007 88.4672 % Incorrectly Classified Instances 392 11.5328 % Kappa statistic 0.8654 Mean absolute error 0.033 Root mean squared error 0.1815 Relative absolute error 13.4549 % Root relative squared error 51.8747 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.922 0.028 0.847 0.922 0.883 0.947 chest 0.758 0.023 0.844 0.758 0.799 0.867 forearm 0.93 0.022 0.877 0.93 0.903 0.954 head 0.951 0.004 0.977 0.951 0.964 0.973 shin 0.914 0.013 0.923 0.914 0.918 0.95 thigh 0.815 0.026 0.841 0.815 0.828 0.895 upperarm 0.903 0.02 0.885 0.903 0.894 0.942 waist Weighted Avg. 0.885 0.019 0.885 0.885 0.884 0.933 === Confusion Matrix === a b c d e f g <-- classified as 448 4 3 0 7 23 1 | a = chest 14 367 30 4 12 26 31 | b = forearm 2 19 451 1 0 7 5 | c = head 3 2 3 462 7 7 2 | d = shin 18 4 2 4 444 7 7 | e = thigh 40 21 9 1 8 396 11 | f = upperarm 4 18 16 1 3 5 439 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3034 89.2615 % Incorrectly Classified Instances 365 10.7385 % Kappa statistic 0.8747 Mean absolute error 0.0307 Root mean squared error 0.1752 Relative absolute error 12.5282 % Root relative squared error 50.0564 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.92 0.023 0.868 0.92 0.893 0.948 chest 0.767 0.028 0.821 0.767 0.793 0.869 forearm 0.924 0.02 0.884 0.924 0.903 0.952 head 0.959 0.004 0.975 0.959 0.967 0.977 shin 0.94 0.01 0.938 0.94 0.939 0.965 thigh 0.825 0.018 0.887 0.825 0.855 0.904 upperarm 0.914 0.022 0.874 0.914 0.893 0.946 waist Weighted Avg. 0.893 0.018 0.892 0.893 0.892 0.937 === Confusion Matrix === a b c d e f g <-- classified as 447 5 3 1 8 17 5 | a = chest 15 371 32 5 4 16 41 | b = forearm 3 20 448 1 1 2 10 | c = head 3 4 4 466 2 5 2 | d = shin 8 5 1 4 457 9 2 | e = thigh 38 24 7 0 12 401 4 | f = upperarm 1 23 12 1 3 2 444 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3054 89.85 % Incorrectly Classified Instances 345 10.15 % Kappa statistic 0.8816 Mean absolute error 0.029 Root mean squared error 0.1703 Relative absolute error 11.8417 % Root relative squared error 48.6656 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.94 0.021 0.882 0.94 0.91 0.96 chest 0.779 0.026 0.834 0.779 0.806 0.877 forearm 0.928 0.017 0.902 0.928 0.915 0.956 head 0.949 0.005 0.971 0.949 0.959 0.972 shin 0.932 0.009 0.948 0.932 0.94 0.962 thigh 0.846 0.024 0.856 0.846 0.851 0.911 upperarm 0.916 0.018 0.895 0.916 0.905 0.949 waist Weighted Avg. 0.898 0.017 0.898 0.898 0.898 0.941 === Confusion Matrix === a b c d e f g <-- classified as 457 3 2 0 3 19 2 | a = chest 17 377 30 2 8 20 30 | b = forearm 1 20 450 0 0 7 7 | c = head 4 2 2 461 11 4 2 | d = shin 3 5 1 7 453 15 2 | e = thigh 33 23 4 4 2 411 9 | f = upperarm 3 22 10 1 1 4 445 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3016 88.732 % Incorrectly Classified Instances 383 11.268 % Kappa statistic 0.8685 Mean absolute error 0.0322 Root mean squared error 0.1794 Relative absolute error 13.146 % Root relative squared error 51.2758 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.916 0.023 0.869 0.916 0.892 0.946 chest 0.76 0.023 0.846 0.76 0.801 0.869 forearm 0.928 0.021 0.882 0.928 0.905 0.954 head 0.947 0.006 0.964 0.947 0.955 0.97 shin 0.928 0.015 0.913 0.928 0.92 0.957 thigh 0.84 0.021 0.868 0.84 0.854 0.909 upperarm 0.893 0.023 0.866 0.893 0.879 0.935 waist Weighted Avg. 0.887 0.019 0.887 0.887 0.887 0.934 === Confusion Matrix === a b c d e f g <-- classified as 445 5 4 0 6 23 3 | a = chest 9 368 29 3 15 19 41 | b = forearm 2 13 450 2 0 7 11 | c = head 2 3 5 460 13 2 1 | d = shin 5 5 3 11 451 6 5 | e = thigh 41 21 4 1 5 408 6 | f = upperarm 8 20 15 0 4 5 434 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3053 89.8205 % Incorrectly Classified Instances 346 10.1795 % Kappa statistic 0.8812 Mean absolute error 0.0291 Root mean squared error 0.1705 Relative absolute error 11.876 % Root relative squared error 48.7361 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.942 0.025 0.863 0.942 0.901 0.959 chest 0.787 0.026 0.836 0.787 0.811 0.881 forearm 0.93 0.013 0.924 0.93 0.927 0.959 head 0.949 0.005 0.968 0.949 0.958 0.972 shin 0.928 0.011 0.934 0.928 0.931 0.958 thigh 0.84 0.019 0.879 0.84 0.859 0.91 upperarm 0.912 0.02 0.884 0.912 0.898 0.946 waist Weighted Avg. 0.898 0.017 0.898 0.898 0.898 0.941 === Confusion Matrix === a b c d e f g <-- classified as 458 1 3 1 5 18 0 | a = chest 15 381 20 6 11 18 33 | b = forearm 4 11 451 1 1 10 7 | c = head 5 2 1 461 10 1 6 | d = shin 6 11 2 5 451 7 4 | e = thigh 37 24 4 2 3 408 8 | f = upperarm 6 26 7 0 2 2 443 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3050 89.7323 % Incorrectly Classified Instances 349 10.2677 % Kappa statistic 0.8802 Mean absolute error 0.0293 Root mean squared error 0.1713 Relative absolute error 11.979 % Root relative squared error 48.9469 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.932 0.021 0.883 0.932 0.907 0.956 chest 0.793 0.024 0.848 0.793 0.82 0.885 forearm 0.918 0.014 0.916 0.918 0.917 0.952 head 0.955 0.008 0.955 0.955 0.955 0.974 shin 0.926 0.013 0.922 0.926 0.924 0.956 thigh 0.833 0.021 0.871 0.833 0.851 0.906 upperarm 0.924 0.02 0.884 0.924 0.904 0.952 waist Weighted Avg. 0.897 0.017 0.897 0.897 0.897 0.94 === Confusion Matrix === a b c d e f g <-- classified as 453 3 3 0 6 20 1 | a = chest 12 384 23 3 12 16 34 | b = forearm 2 19 445 1 0 11 7 | c = head 6 4 1 464 6 3 2 | d = shin 5 5 0 10 450 8 8 | e = thigh 31 16 8 6 13 404 7 | f = upperarm 4 22 6 2 1 2 450 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3035 89.291 % Incorrectly Classified Instances 364 10.709 % Kappa statistic 0.8751 Mean absolute error 0.0306 Root mean squared error 0.1749 Relative absolute error 12.4939 % Root relative squared error 49.9878 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.942 0.021 0.881 0.942 0.91 0.96 chest 0.762 0.026 0.831 0.762 0.795 0.868 forearm 0.928 0.02 0.884 0.928 0.905 0.954 head 0.936 0.004 0.974 0.936 0.955 0.966 shin 0.938 0.011 0.932 0.938 0.935 0.963 thigh 0.835 0.021 0.868 0.835 0.851 0.907 upperarm 0.908 0.021 0.879 0.908 0.893 0.943 waist Weighted Avg. 0.893 0.018 0.893 0.893 0.892 0.938 === Confusion Matrix === a b c d e f g <-- classified as 457 2 3 0 1 20 2 | a = chest 15 369 34 5 10 18 33 | b = forearm 5 17 450 0 1 4 8 | c = head 3 4 1 456 13 8 2 | d = shin 4 7 1 4 455 8 6 | e = thigh 29 22 11 1 7 406 10 | f = upperarm 6 23 9 2 1 4 442 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 5 FOLD: 0 Correctly Classified Instances 3030 89.1176 % Incorrectly Classified Instances 370 10.8824 % Kappa statistic 0.873 Mean absolute error 0.0311 Root mean squared error 0.1763 Relative absolute error 12.6961 % Root relative squared error 50.3906 % Total Number of Instances 3400 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.947 0.024 0.866 0.947 0.905 0.961 chest 0.767 0.024 0.841 0.767 0.802 0.871 forearm 0.944 0.016 0.907 0.944 0.925 0.964 head 0.934 0.005 0.97 0.934 0.952 0.965 shin 0.916 0.012 0.929 0.916 0.922 0.952 thigh 0.831 0.026 0.843 0.831 0.837 0.903 upperarm 0.899 0.02 0.881 0.899 0.89 0.94 waist Weighted Avg. 0.891 0.018 0.891 0.891 0.891 0.937 === Confusion Matrix === a b c d e f g <-- classified as 460 0 2 0 5 15 4 | a = chest 13 371 27 4 10 31 28 | b = forearm 2 8 458 1 0 10 6 | c = head 7 3 1 454 11 5 5 | d = shin 10 5 1 7 445 11 7 | e = thigh 33 23 9 2 6 404 9 | f = upperarm 6 31 7 0 2 3 438 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3048 89.6471 % Incorrectly Classified Instances 352 10.3529 % Kappa statistic 0.8792 Mean absolute error 0.0296 Root mean squared error 0.172 Relative absolute error 12.0784 % Root relative squared error 49.1496 % Total Number of Instances 3400 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.911 0.027 0.85 0.911 0.88 0.942 chest 0.783 0.022 0.857 0.783 0.819 0.881 forearm 0.928 0.018 0.898 0.928 0.913 0.955 head 0.949 0.004 0.975 0.949 0.961 0.972 shin 0.936 0.01 0.94 0.936 0.938 0.963 thigh 0.835 0.022 0.862 0.835 0.848 0.907 upperarm 0.932 0.019 0.894 0.932 0.913 0.957 waist Weighted Avg. 0.896 0.017 0.897 0.896 0.896 0.94 === Confusion Matrix === a b c d e f g <-- classified as 442 6 2 0 7 28 0 | a = chest 13 379 29 2 9 20 32 | b = forearm 7 13 451 0 1 7 7 | c = head 2 2 4 461 10 4 3 | d = shin 7 6 2 9 455 4 3 | e = thigh 44 19 6 1 1 406 9 | f = upperarm 5 17 8 0 1 2 454 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3048 89.6734 % Incorrectly Classified Instances 351 10.3266 % Kappa statistic 0.8795 Mean absolute error 0.0295 Root mean squared error 0.1718 Relative absolute error 12.0477 % Root relative squared error 49.087 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.938 0.026 0.855 0.938 0.895 0.956 chest 0.779 0.021 0.863 0.779 0.819 0.879 forearm 0.924 0.016 0.905 0.924 0.914 0.954 head 0.961 0.006 0.963 0.961 0.962 0.977 shin 0.926 0.011 0.932 0.926 0.929 0.957 thigh 0.831 0.022 0.863 0.831 0.847 0.905 upperarm 0.918 0.018 0.896 0.918 0.907 0.95 waist Weighted Avg. 0.897 0.017 0.897 0.897 0.896 0.94 === Confusion Matrix === a b c d e f g <-- classified as 455 2 2 0 2 23 1 | a = chest 11 377 20 10 15 21 30 | b = forearm 3 19 449 0 0 4 11 | c = head 0 1 4 468 6 6 2 | d = shin 10 10 1 6 449 7 2 | e = thigh 46 14 6 1 9 404 6 | f = upperarm 7 14 14 1 1 3 446 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3048 89.6734 % Incorrectly Classified Instances 351 10.3266 % Kappa statistic 0.8795 Mean absolute error 0.0295 Root mean squared error 0.1718 Relative absolute error 12.0477 % Root relative squared error 49.087 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.934 0.022 0.876 0.934 0.904 0.956 chest 0.807 0.029 0.821 0.807 0.814 0.889 forearm 0.922 0.015 0.912 0.922 0.917 0.953 head 0.949 0.004 0.977 0.949 0.963 0.972 shin 0.94 0.012 0.927 0.94 0.934 0.964 thigh 0.831 0.018 0.886 0.831 0.858 0.907 upperarm 0.893 0.021 0.879 0.893 0.886 0.936 waist Weighted Avg. 0.897 0.017 0.897 0.897 0.897 0.94 === Confusion Matrix === a b c d e f g <-- classified as 454 5 1 0 5 21 0 | a = chest 10 390 22 1 11 10 39 | b = forearm 2 27 447 0 0 4 5 | c = head 2 3 1 462 11 5 3 | d = shin 5 6 2 5 457 8 3 | e = thigh 38 16 7 3 8 404 10 | f = upperarm 7 28 10 2 1 4 434 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3036 89.3204 % Incorrectly Classified Instances 363 10.6796 % Kappa statistic 0.8754 Mean absolute error 0.0305 Root mean squared error 0.1747 Relative absolute error 12.4596 % Root relative squared error 49.919 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.912 0.026 0.854 0.912 0.882 0.943 chest 0.783 0.026 0.834 0.783 0.808 0.878 forearm 0.92 0.021 0.88 0.92 0.899 0.949 head 0.961 0.003 0.979 0.961 0.97 0.979 shin 0.934 0.009 0.944 0.934 0.939 0.962 thigh 0.844 0.021 0.872 0.844 0.858 0.912 upperarm 0.899 0.019 0.89 0.899 0.895 0.94 waist Weighted Avg. 0.893 0.018 0.893 0.893 0.893 0.938 === Confusion Matrix === a b c d e f g <-- classified as 443 6 6 0 6 24 1 | a = chest 11 378 33 4 7 15 35 | b = forearm 2 19 446 1 0 10 7 | c = head 2 2 3 468 6 3 3 | d = shin 9 10 0 3 454 6 4 | e = thigh 44 14 5 2 7 410 4 | f = upperarm 8 24 14 0 1 2 437 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3022 88.9085 % Incorrectly Classified Instances 377 11.0915 % Kappa statistic 0.8706 Mean absolute error 0.0317 Root mean squared error 0.178 Relative absolute error 12.9401 % Root relative squared error 50.8726 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.938 0.023 0.87 0.938 0.903 0.957 chest 0.744 0.023 0.843 0.744 0.79 0.86 forearm 0.938 0.018 0.899 0.938 0.918 0.96 head 0.949 0.005 0.968 0.949 0.958 0.972 shin 0.92 0.01 0.939 0.92 0.929 0.955 thigh 0.825 0.024 0.85 0.825 0.837 0.9 upperarm 0.909 0.026 0.853 0.909 0.88 0.942 waist Weighted Avg. 0.889 0.018 0.889 0.889 0.888 0.935 === Confusion Matrix === a b c d e f g <-- classified as 456 5 3 0 3 18 1 | a = chest 16 360 25 4 11 25 43 | b = forearm 1 10 455 1 0 8 10 | c = head 8 5 1 461 7 3 1 | d = shin 3 5 2 6 447 13 10 | e = thigh 38 22 7 3 4 401 11 | f = upperarm 2 20 13 1 4 4 442 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3018 88.7908 % Incorrectly Classified Instances 381 11.2092 % Kappa statistic 0.8692 Mean absolute error 0.032 Root mean squared error 0.179 Relative absolute error 13.0774 % Root relative squared error 51.1417 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.938 0.025 0.864 0.938 0.899 0.957 chest 0.802 0.029 0.822 0.802 0.812 0.886 forearm 0.911 0.017 0.898 0.911 0.905 0.947 head 0.949 0.005 0.968 0.949 0.958 0.972 shin 0.912 0.012 0.925 0.912 0.918 0.95 thigh 0.805 0.02 0.873 0.805 0.837 0.892 upperarm 0.899 0.023 0.867 0.899 0.883 0.938 waist Weighted Avg. 0.888 0.019 0.888 0.888 0.888 0.935 === Confusion Matrix === a b c d e f g <-- classified as 456 5 3 1 4 14 3 | a = chest 16 388 23 2 11 16 28 | b = forearm 2 21 442 1 1 7 11 | c = head 2 1 3 461 10 6 3 | d = shin 7 5 3 8 443 12 8 | e = thigh 39 29 4 3 6 391 14 | f = upperarm 6 23 14 0 4 2 437 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3052 89.7911 % Incorrectly Classified Instances 347 10.2089 % Kappa statistic 0.8809 Mean absolute error 0.0292 Root mean squared error 0.1708 Relative absolute error 11.9104 % Root relative squared error 48.8065 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.928 0.02 0.886 0.928 0.907 0.954 chest 0.783 0.027 0.829 0.783 0.806 0.878 forearm 0.944 0.017 0.902 0.944 0.922 0.964 head 0.94 0.004 0.974 0.94 0.957 0.968 shin 0.934 0.009 0.944 0.934 0.939 0.962 thigh 0.862 0.025 0.85 0.862 0.856 0.918 upperarm 0.893 0.016 0.9 0.893 0.897 0.938 waist Weighted Avg. 0.898 0.017 0.898 0.898 0.898 0.94 === Confusion Matrix === a b c d e f g <-- classified as 451 3 1 1 5 21 4 | a = chest 16 379 25 3 8 24 29 | b = forearm 0 15 458 1 0 6 5 | c = head 3 2 3 457 11 7 3 | d = shin 6 10 0 3 454 10 3 | e = thigh 29 22 6 3 3 419 4 | f = upperarm 4 26 15 1 0 6 434 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3030 89.1439 % Incorrectly Classified Instances 369 10.8561 % Kappa statistic 0.8733 Mean absolute error 0.031 Root mean squared error 0.1761 Relative absolute error 12.6655 % Root relative squared error 50.3299 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.92 0.024 0.863 0.92 0.89 0.948 chest 0.775 0.025 0.835 0.775 0.804 0.875 forearm 0.92 0.018 0.894 0.92 0.907 0.951 head 0.967 0.006 0.965 0.967 0.966 0.981 shin 0.936 0.01 0.94 0.936 0.938 0.963 thigh 0.8 0.022 0.857 0.8 0.828 0.889 upperarm 0.922 0.021 0.882 0.922 0.901 0.951 waist Weighted Avg. 0.891 0.018 0.891 0.891 0.891 0.937 === Confusion Matrix === a b c d e f g <-- classified as 447 4 2 1 6 25 1 | a = chest 20 375 26 4 9 16 34 | b = forearm 6 12 446 2 1 9 9 | c = head 1 2 2 470 4 6 1 | d = shin 3 8 0 8 455 7 5 | e = thigh 37 31 10 2 7 389 10 | f = upperarm 4 17 13 0 2 2 448 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3045 89.5852 % Incorrectly Classified Instances 354 10.4148 % Kappa statistic 0.8785 Mean absolute error 0.0298 Root mean squared error 0.1725 Relative absolute error 12.1506 % Root relative squared error 49.2963 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.963 0.022 0.881 0.963 0.92 0.971 chest 0.76 0.025 0.833 0.76 0.795 0.867 forearm 0.922 0.02 0.887 0.922 0.904 0.951 head 0.94 0.004 0.974 0.94 0.957 0.968 shin 0.926 0.007 0.955 0.926 0.94 0.959 thigh 0.847 0.022 0.865 0.847 0.856 0.913 upperarm 0.912 0.022 0.876 0.912 0.893 0.945 waist Weighted Avg. 0.896 0.017 0.896 0.896 0.895 0.939 === Confusion Matrix === a b c d e f g <-- classified as 468 1 3 0 1 13 0 | a = chest 12 368 31 2 5 23 43 | b = forearm 6 13 447 1 0 9 9 | c = head 7 5 2 457 9 3 3 | d = shin 5 8 4 6 450 9 4 | e = thigh 28 25 9 2 6 411 4 | f = upperarm 5 22 8 1 0 7 444 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 6 FOLD: 0 Correctly Classified Instances 3040 89.4118 % Incorrectly Classified Instances 360 10.5882 % Kappa statistic 0.8765 Mean absolute error 0.0303 Root mean squared error 0.1739 Relative absolute error 12.3529 % Root relative squared error 49.705 % Total Number of Instances 3400 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.942 0.026 0.859 0.942 0.899 0.958 chest 0.777 0.025 0.839 0.777 0.807 0.876 forearm 0.944 0.021 0.883 0.944 0.913 0.962 head 0.944 0.004 0.975 0.944 0.959 0.97 shin 0.932 0.012 0.926 0.932 0.929 0.96 thigh 0.823 0.017 0.889 0.823 0.855 0.903 upperarm 0.895 0.019 0.89 0.895 0.893 0.938 waist Weighted Avg. 0.894 0.018 0.894 0.894 0.893 0.938 === Confusion Matrix === a b c d e f g <-- classified as 458 2 3 0 5 17 1 | a = chest 14 376 27 3 12 23 29 | b = forearm 4 8 459 0 0 5 10 | c = head 3 4 5 459 12 2 1 | d = shin 7 10 1 6 452 3 6 | e = thigh 43 21 8 3 4 400 7 | f = upperarm 4 27 17 0 3 0 436 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3027 89.0294 % Incorrectly Classified Instances 373 10.9706 % Kappa statistic 0.872 Mean absolute error 0.0313 Root mean squared error 0.177 Relative absolute error 12.799 % Root relative squared error 50.5945 % Total Number of Instances 3400 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.922 0.027 0.851 0.922 0.885 0.947 chest 0.8 0.028 0.823 0.8 0.811 0.886 forearm 0.916 0.017 0.901 0.916 0.908 0.949 head 0.944 0.004 0.975 0.944 0.959 0.97 shin 0.932 0.007 0.956 0.932 0.944 0.962 thigh 0.811 0.025 0.842 0.811 0.826 0.893 upperarm 0.908 0.019 0.888 0.908 0.897 0.944 waist Weighted Avg. 0.89 0.018 0.891 0.89 0.89 0.936 === Confusion Matrix === a b c d e f g <-- classified as 447 9 3 0 1 23 2 | a = chest 11 387 28 4 7 18 29 | b = forearm 4 14 445 1 0 11 11 | c = head 5 4 1 459 5 11 1 | d = shin 6 11 1 3 453 8 4 | e = thigh 42 23 7 3 8 394 9 | f = upperarm 10 22 9 1 0 3 442 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3016 88.732 % Incorrectly Classified Instances 383 11.268 % Kappa statistic 0.8685 Mean absolute error 0.0322 Root mean squared error 0.1794 Relative absolute error 13.146 % Root relative squared error 51.2758 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.944 0.028 0.848 0.944 0.894 0.958 chest 0.731 0.022 0.849 0.731 0.786 0.855 forearm 0.932 0.023 0.873 0.932 0.901 0.955 head 0.945 0.008 0.954 0.945 0.949 0.969 shin 0.92 0.01 0.939 0.92 0.929 0.955 thigh 0.825 0.02 0.874 0.825 0.849 0.903 upperarm 0.914 0.022 0.876 0.914 0.894 0.946 waist Weighted Avg. 0.887 0.019 0.888 0.887 0.886 0.934 === Confusion Matrix === a b c d e f g <-- classified as 458 3 3 1 3 17 0 | a = chest 22 354 42 6 6 23 31 | b = forearm 2 16 452 1 0 4 10 | c = head 4 3 1 460 10 3 6 | d = shin 9 3 2 11 447 7 7 | e = thigh 41 18 8 2 7 401 9 | f = upperarm 4 20 10 1 3 4 444 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3039 89.4086 % Incorrectly Classified Instances 360 10.5914 % Kappa statistic 0.8764 Mean absolute error 0.0303 Root mean squared error 0.174 Relative absolute error 12.3566 % Root relative squared error 49.7123 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.93 0.021 0.881 0.93 0.905 0.955 chest 0.799 0.028 0.825 0.799 0.812 0.886 forearm 0.924 0.021 0.88 0.924 0.901 0.951 head 0.938 0.005 0.97 0.938 0.954 0.967 shin 0.92 0.013 0.924 0.92 0.922 0.954 thigh 0.842 0.016 0.895 0.842 0.867 0.913 upperarm 0.905 0.02 0.885 0.905 0.895 0.943 waist Weighted Avg. 0.894 0.018 0.894 0.894 0.894 0.938 === Confusion Matrix === a b c d e f g <-- classified as 452 5 7 0 8 13 1 | a = chest 13 386 21 5 11 15 32 | b = forearm 5 16 448 0 1 6 9 | c = head 2 4 8 457 9 4 3 | d = shin 7 10 4 6 447 8 4 | e = thigh 31 21 8 2 7 409 8 | f = upperarm 3 26 13 1 1 2 440 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3008 88.4966 % Incorrectly Classified Instances 391 11.5034 % Kappa statistic 0.8658 Mean absolute error 0.0329 Root mean squared error 0.1813 Relative absolute error 13.4206 % Root relative squared error 51.8085 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.932 0.024 0.866 0.932 0.898 0.954 chest 0.774 0.036 0.782 0.774 0.778 0.869 forearm 0.93 0.017 0.902 0.93 0.916 0.957 head 0.943 0.005 0.968 0.943 0.955 0.969 shin 0.916 0.01 0.941 0.916 0.928 0.953 thigh 0.829 0.024 0.852 0.829 0.84 0.903 upperarm 0.87 0.019 0.885 0.87 0.878 0.926 waist Weighted Avg. 0.885 0.019 0.885 0.885 0.885 0.933 === Confusion Matrix === a b c d e f g <-- classified as 453 3 2 0 4 21 3 | a = chest 14 374 23 3 10 23 36 | b = forearm 2 18 451 2 0 7 5 | c = head 5 5 4 459 8 4 2 | d = shin 7 9 4 7 445 12 2 | e = thigh 35 29 7 2 3 403 7 | f = upperarm 7 40 9 1 3 3 423 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3037 89.3498 % Incorrectly Classified Instances 362 10.6502 % Kappa statistic 0.8757 Mean absolute error 0.0304 Root mean squared error 0.1744 Relative absolute error 12.4252 % Root relative squared error 49.8502 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.934 0.024 0.866 0.934 0.899 0.955 chest 0.769 0.023 0.847 0.769 0.806 0.873 forearm 0.944 0.019 0.891 0.944 0.917 0.963 head 0.94 0.003 0.981 0.94 0.96 0.969 shin 0.932 0.014 0.919 0.932 0.925 0.959 thigh 0.842 0.023 0.861 0.842 0.851 0.909 upperarm 0.893 0.019 0.889 0.893 0.891 0.937 waist Weighted Avg. 0.893 0.018 0.894 0.893 0.893 0.938 === Confusion Matrix === a b c d e f g <-- classified as 454 2 1 1 5 21 2 | a = chest 14 372 25 1 11 23 38 | b = forearm 5 14 458 1 0 3 4 | c = head 2 3 3 457 16 4 1 | d = shin 7 9 0 4 453 9 4 | e = thigh 33 20 12 1 6 409 5 | f = upperarm 9 19 15 1 2 6 434 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3036 89.3204 % Incorrectly Classified Instances 363 10.6796 % Kappa statistic 0.8754 Mean absolute error 0.0305 Root mean squared error 0.1747 Relative absolute error 12.4596 % Root relative squared error 49.919 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.93 0.026 0.858 0.93 0.892 0.952 chest 0.783 0.024 0.844 0.783 0.812 0.88 forearm 0.932 0.015 0.909 0.932 0.921 0.958 head 0.961 0.006 0.963 0.961 0.962 0.977 shin 0.916 0.012 0.927 0.916 0.921 0.952 thigh 0.817 0.021 0.869 0.817 0.842 0.898 upperarm 0.914 0.021 0.881 0.914 0.897 0.946 waist Weighted Avg. 0.893 0.018 0.893 0.893 0.893 0.938 === Confusion Matrix === a b c d e f g <-- classified as 452 3 4 2 2 22 1 | a = chest 18 379 24 5 11 16 31 | b = forearm 3 15 452 0 0 3 12 | c = head 4 1 0 467 11 1 2 | d = shin 9 3 2 7 445 17 3 | e = thigh 33 27 6 4 8 397 11 | f = upperarm 8 21 9 0 3 1 444 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3043 89.5263 % Incorrectly Classified Instances 356 10.4737 % Kappa statistic 0.8778 Mean absolute error 0.0299 Root mean squared error 0.173 Relative absolute error 12.2193 % Root relative squared error 49.4354 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.924 0.023 0.868 0.924 0.895 0.95 chest 0.781 0.024 0.844 0.781 0.811 0.878 forearm 0.913 0.018 0.893 0.913 0.903 0.948 head 0.955 0.006 0.963 0.955 0.959 0.974 shin 0.932 0.008 0.95 0.932 0.941 0.962 thigh 0.846 0.021 0.869 0.846 0.857 0.912 upperarm 0.916 0.021 0.879 0.916 0.897 0.947 waist Weighted Avg. 0.895 0.017 0.895 0.895 0.895 0.939 === Confusion Matrix === a b c d e f g <-- classified as 449 5 1 1 3 27 0 | a = chest 12 378 28 4 10 16 36 | b = forearm 2 20 443 1 1 9 9 | c = head 5 3 3 464 6 3 2 | d = shin 8 5 1 7 453 4 8 | e = thigh 38 18 5 4 4 411 6 | f = upperarm 3 19 15 1 0 3 445 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3053 89.8205 % Incorrectly Classified Instances 346 10.1795 % Kappa statistic 0.8812 Mean absolute error 0.0291 Root mean squared error 0.1705 Relative absolute error 11.876 % Root relative squared error 48.7361 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.93 0.021 0.883 0.93 0.906 0.955 chest 0.783 0.028 0.824 0.783 0.803 0.878 forearm 0.915 0.018 0.895 0.915 0.905 0.949 head 0.959 0.005 0.971 0.959 0.965 0.977 shin 0.93 0.01 0.942 0.93 0.936 0.96 thigh 0.842 0.018 0.887 0.842 0.864 0.912 upperarm 0.928 0.02 0.884 0.928 0.906 0.954 waist Weighted Avg. 0.898 0.017 0.898 0.898 0.898 0.941 === Confusion Matrix === a b c d e f g <-- classified as 452 7 4 0 5 18 0 | a = chest 14 379 32 3 11 13 32 | b = forearm 3 19 444 0 0 8 11 | c = head 3 2 1 466 6 5 3 | d = shin 5 10 1 7 452 7 4 | e = thigh 30 24 6 4 4 409 9 | f = upperarm 5 19 8 0 2 1 451 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3068 90.2618 % Incorrectly Classified Instances 331 9.7382 % Kappa statistic 0.8864 Mean absolute error 0.0278 Root mean squared error 0.1668 Relative absolute error 11.3612 % Root relative squared error 47.668 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.947 0.024 0.868 0.947 0.906 0.961 chest 0.814 0.024 0.849 0.814 0.831 0.895 forearm 0.93 0.019 0.893 0.93 0.911 0.956 head 0.965 0.004 0.973 0.965 0.969 0.98 shin 0.942 0.01 0.94 0.942 0.941 0.966 thigh 0.8 0.015 0.896 0.8 0.845 0.892 upperarm 0.92 0.017 0.9 0.92 0.91 0.951 waist Weighted Avg. 0.903 0.016 0.903 0.903 0.902 0.943 === Confusion Matrix === a b c d e f g <-- classified as 460 2 3 0 5 15 1 | a = chest 8 394 27 2 7 15 31 | b = forearm 3 16 451 2 1 7 5 | c = head 3 4 0 469 5 3 2 | d = shin 4 8 1 5 458 4 6 | e = thigh 50 23 9 2 8 388 5 | f = upperarm 2 17 14 2 3 1 448 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 7 FOLD: 0 Correctly Classified Instances 3040 89.4118 % Incorrectly Classified Instances 360 10.5882 % Kappa statistic 0.8765 Mean absolute error 0.0303 Root mean squared error 0.1739 Relative absolute error 12.3529 % Root relative squared error 49.705 % Total Number of Instances 3400 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.942 0.021 0.881 0.942 0.911 0.961 chest 0.754 0.025 0.835 0.754 0.792 0.864 forearm 0.916 0.02 0.886 0.916 0.901 0.948 head 0.971 0.005 0.967 0.971 0.969 0.983 shin 0.938 0.01 0.938 0.938 0.938 0.964 thigh 0.823 0.02 0.873 0.823 0.847 0.902 upperarm 0.914 0.022 0.872 0.914 0.892 0.946 waist Weighted Avg. 0.894 0.018 0.893 0.894 0.893 0.938 === Confusion Matrix === a b c d e f g <-- classified as 458 2 3 0 3 18 2 | a = chest 15 364 29 2 15 21 37 | b = forearm 2 18 445 1 1 5 14 | c = head 1 2 1 473 5 4 1 | d = shin 6 6 1 6 456 7 4 | e = thigh 34 22 13 6 4 400 7 | f = upperarm 4 22 10 1 2 3 444 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3035 89.2647 % Incorrectly Classified Instances 365 10.7353 % Kappa statistic 0.8748 Mean absolute error 0.0307 Root mean squared error 0.1751 Relative absolute error 12.5245 % Root relative squared error 50.049 % Total Number of Instances 3400 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.932 0.024 0.866 0.932 0.898 0.954 chest 0.77 0.028 0.819 0.77 0.794 0.871 forearm 0.924 0.013 0.92 0.924 0.922 0.955 head 0.947 0.003 0.979 0.947 0.962 0.972 shin 0.924 0.013 0.92 0.924 0.922 0.955 thigh 0.825 0.023 0.857 0.825 0.841 0.901 upperarm 0.926 0.02 0.886 0.926 0.905 0.953 waist Weighted Avg. 0.893 0.018 0.893 0.893 0.892 0.937 === Confusion Matrix === a b c d e f g <-- classified as 453 3 2 0 8 19 1 | a = chest 12 372 20 2 11 28 38 | b = forearm 2 22 449 2 0 4 7 | c = head 4 3 3 461 11 3 2 | d = shin 3 13 3 4 449 9 5 | e = thigh 43 24 6 1 6 401 5 | f = upperarm 6 17 5 1 3 4 450 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3039 89.4086 % Incorrectly Classified Instances 360 10.5914 % Kappa statistic 0.8764 Mean absolute error 0.0303 Root mean squared error 0.174 Relative absolute error 12.3566 % Root relative squared error 49.7123 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.922 0.023 0.87 0.922 0.895 0.949 chest 0.754 0.024 0.841 0.754 0.795 0.865 forearm 0.942 0.019 0.894 0.942 0.918 0.962 head 0.949 0.006 0.964 0.949 0.956 0.971 shin 0.955 0.012 0.932 0.955 0.943 0.972 thigh 0.827 0.023 0.857 0.827 0.842 0.902 upperarm 0.909 0.018 0.895 0.909 0.902 0.946 waist Weighted Avg. 0.894 0.018 0.893 0.894 0.893 0.938 === Confusion Matrix === a b c d e f g <-- classified as 448 4 2 1 3 25 3 | a = chest 16 365 35 4 9 23 32 | b = forearm 4 9 457 0 0 9 6 | c = head 2 5 2 461 14 2 0 | d = shin 3 6 0 5 464 6 2 | e = thigh 36 22 5 5 7 402 9 | f = upperarm 6 23 10 2 1 2 442 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3030 89.1439 % Incorrectly Classified Instances 369 10.8561 % Kappa statistic 0.8733 Mean absolute error 0.031 Root mean squared error 0.1761 Relative absolute error 12.6655 % Root relative squared error 50.3299 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.922 0.027 0.852 0.922 0.885 0.948 chest 0.804 0.024 0.847 0.804 0.825 0.89 forearm 0.932 0.018 0.895 0.932 0.913 0.957 head 0.947 0.007 0.96 0.947 0.953 0.97 shin 0.918 0.01 0.941 0.918 0.929 0.954 thigh 0.825 0.021 0.866 0.825 0.845 0.902 upperarm 0.893 0.02 0.88 0.893 0.887 0.936 waist Weighted Avg. 0.891 0.018 0.892 0.891 0.891 0.937 === Confusion Matrix === a b c d e f g <-- classified as 448 3 5 1 5 23 1 | a = chest 13 389 26 4 7 13 32 | b = forearm 2 17 452 1 0 6 7 | c = head 2 5 1 460 10 6 2 | d = shin 11 3 2 8 446 9 7 | e = thigh 42 18 7 4 4 401 10 | f = upperarm 8 24 12 1 2 5 434 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3011 88.5849 % Incorrectly Classified Instances 388 11.4151 % Kappa statistic 0.8668 Mean absolute error 0.0326 Root mean squared error 0.1806 Relative absolute error 13.3176 % Root relative squared error 51.6094 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.924 0.029 0.842 0.924 0.881 0.948 chest 0.758 0.025 0.832 0.758 0.794 0.866 forearm 0.946 0.018 0.898 0.946 0.922 0.964 head 0.949 0.005 0.971 0.949 0.959 0.972 shin 0.901 0.011 0.934 0.901 0.917 0.945 thigh 0.837 0.023 0.857 0.837 0.847 0.907 upperarm 0.885 0.022 0.869 0.885 0.877 0.931 waist Weighted Avg. 0.886 0.019 0.886 0.886 0.885 0.933 === Confusion Matrix === a b c d e f g <-- classified as 449 2 2 0 4 29 0 | a = chest 19 367 29 5 10 17 37 | b = forearm 6 11 459 0 0 3 6 | c = head 6 4 1 461 7 3 4 | d = shin 10 12 1 7 438 10 8 | e = thigh 34 22 3 2 8 407 10 | f = upperarm 9 23 16 0 2 6 430 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3030 89.1439 % Incorrectly Classified Instances 369 10.8561 % Kappa statistic 0.8733 Mean absolute error 0.031 Root mean squared error 0.1761 Relative absolute error 12.6655 % Root relative squared error 50.3299 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.949 0.025 0.863 0.949 0.904 0.962 chest 0.781 0.031 0.808 0.781 0.794 0.875 forearm 0.93 0.019 0.893 0.93 0.911 0.956 head 0.949 0.006 0.964 0.949 0.956 0.971 shin 0.93 0.009 0.944 0.93 0.937 0.96 thigh 0.817 0.019 0.88 0.817 0.847 0.899 upperarm 0.885 0.019 0.888 0.885 0.887 0.933 waist Weighted Avg. 0.891 0.018 0.892 0.891 0.891 0.937 === Confusion Matrix === a b c d e f g <-- classified as 461 3 2 0 3 16 1 | a = chest 13 378 27 4 9 18 35 | b = forearm 3 15 451 1 0 10 5 | c = head 6 4 1 461 8 3 3 | d = shin 8 10 2 8 452 4 2 | e = thigh 39 30 3 3 6 397 8 | f = upperarm 4 28 19 1 1 3 430 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3065 90.1736 % Incorrectly Classified Instances 334 9.8264 % Kappa statistic 0.8854 Mean absolute error 0.0281 Root mean squared error 0.1676 Relative absolute error 11.4642 % Root relative squared error 47.8835 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.951 0.024 0.867 0.951 0.907 0.963 chest 0.8 0.022 0.86 0.8 0.829 0.889 forearm 0.946 0.014 0.918 0.946 0.932 0.966 head 0.942 0.004 0.972 0.942 0.957 0.969 shin 0.932 0.011 0.932 0.932 0.932 0.96 thigh 0.829 0.021 0.869 0.829 0.848 0.904 upperarm 0.912 0.018 0.895 0.912 0.903 0.947 waist Weighted Avg. 0.902 0.016 0.902 0.902 0.901 0.943 === Confusion Matrix === a b c d e f g <-- classified as 461 3 2 0 4 15 0 | a = chest 13 387 19 4 12 18 31 | b = forearm 2 13 459 0 0 6 5 | c = head 4 2 2 458 8 9 3 | d = shin 6 5 1 8 453 7 6 | e = thigh 40 20 8 0 8 403 7 | f = upperarm 6 20 9 1 1 6 444 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3053 89.8205 % Incorrectly Classified Instances 346 10.1795 % Kappa statistic 0.8812 Mean absolute error 0.0291 Root mean squared error 0.1705 Relative absolute error 11.876 % Root relative squared error 48.7361 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.928 0.021 0.879 0.928 0.903 0.953 chest 0.822 0.022 0.86 0.822 0.841 0.9 forearm 0.924 0.018 0.894 0.924 0.909 0.953 head 0.938 0.003 0.981 0.938 0.959 0.968 shin 0.932 0.013 0.921 0.932 0.926 0.959 thigh 0.827 0.02 0.872 0.827 0.849 0.903 upperarm 0.916 0.02 0.883 0.916 0.899 0.948 waist Weighted Avg. 0.898 0.017 0.898 0.898 0.898 0.941 === Confusion Matrix === a b c d e f g <-- classified as 450 2 4 0 7 21 1 | a = chest 9 398 24 2 7 11 33 | b = forearm 4 16 448 1 0 8 8 | c = head 2 1 6 456 14 4 3 | d = shin 7 5 1 3 453 11 6 | e = thigh 37 20 6 3 10 402 8 | f = upperarm 3 21 12 0 1 4 446 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3041 89.4675 % Incorrectly Classified Instances 358 10.5325 % Kappa statistic 0.8771 Mean absolute error 0.0301 Root mean squared error 0.1735 Relative absolute error 12.2879 % Root relative squared error 49.5741 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.947 0.022 0.878 0.947 0.911 0.962 chest 0.779 0.029 0.816 0.779 0.797 0.875 forearm 0.891 0.016 0.9 0.891 0.895 0.937 head 0.951 0.004 0.973 0.951 0.961 0.973 shin 0.928 0.01 0.938 0.928 0.933 0.959 thigh 0.858 0.022 0.865 0.858 0.862 0.918 upperarm 0.91 0.018 0.893 0.91 0.901 0.946 waist Weighted Avg. 0.895 0.018 0.895 0.895 0.894 0.939 === Confusion Matrix === a b c d e f g <-- classified as 460 3 2 0 7 14 0 | a = chest 15 377 27 5 13 22 25 | b = forearm 3 25 432 1 2 11 11 | c = head 4 3 3 462 5 5 4 | d = shin 6 7 1 7 450 9 5 | e = thigh 31 20 8 0 2 417 8 | f = upperarm 5 27 7 0 1 4 443 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3029 89.1144 % Incorrectly Classified Instances 370 10.8856 % Kappa statistic 0.873 Mean absolute error 0.0311 Root mean squared error 0.1764 Relative absolute error 12.6998 % Root relative squared error 50.3981 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.918 0.023 0.868 0.918 0.892 0.947 chest 0.771 0.023 0.85 0.771 0.808 0.874 forearm 0.918 0.019 0.892 0.918 0.904 0.949 head 0.943 0.004 0.972 0.943 0.957 0.969 shin 0.928 0.01 0.938 0.928 0.933 0.959 thigh 0.845 0.026 0.842 0.845 0.844 0.909 upperarm 0.916 0.021 0.878 0.916 0.896 0.947 waist Weighted Avg. 0.891 0.018 0.891 0.891 0.891 0.937 === Confusion Matrix === a b c d e f g <-- classified as 446 5 6 1 3 22 3 | a = chest 16 373 26 4 9 27 29 | b = forearm 6 15 445 1 0 9 9 | c = head 3 1 2 459 10 6 6 | d = shin 4 7 3 5 451 10 6 | e = thigh 36 19 4 1 6 410 9 | f = upperarm 3 19 13 1 2 3 445 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 8 FOLD: 0 Correctly Classified Instances 3034 89.2353 % Incorrectly Classified Instances 366 10.7647 % Kappa statistic 0.8744 Mean absolute error 0.0308 Root mean squared error 0.1754 Relative absolute error 12.5588 % Root relative squared error 50.1175 % Total Number of Instances 3400 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.93 0.022 0.876 0.93 0.902 0.954 chest 0.754 0.024 0.841 0.754 0.795 0.865 forearm 0.948 0.02 0.886 0.948 0.916 0.964 head 0.945 0.007 0.956 0.945 0.95 0.969 shin 0.92 0.01 0.941 0.92 0.93 0.955 thigh 0.848 0.022 0.867 0.848 0.857 0.913 upperarm 0.901 0.021 0.876 0.901 0.888 0.94 waist Weighted Avg. 0.892 0.018 0.892 0.892 0.892 0.937 === Confusion Matrix === a b c d e f g <-- classified as 452 5 4 1 5 17 2 | a = chest 15 365 31 6 8 23 36 | b = forearm 4 8 460 1 0 4 8 | c = head 4 5 3 460 7 7 1 | d = shin 8 7 2 7 447 7 8 | e = thigh 27 20 11 4 5 412 7 | f = upperarm 6 24 8 2 3 5 438 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3043 89.5 % Incorrectly Classified Instances 357 10.5 % Kappa statistic 0.8775 Mean absolute error 0.03 Root mean squared error 0.1732 Relative absolute error 12.25 % Root relative squared error 49.4975 % Total Number of Instances 3400 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.922 0.021 0.88 0.922 0.901 0.95 chest 0.804 0.027 0.833 0.804 0.818 0.888 forearm 0.94 0.018 0.896 0.94 0.918 0.961 head 0.934 0.004 0.976 0.934 0.955 0.965 shin 0.92 0.011 0.931 0.92 0.925 0.954 thigh 0.84 0.02 0.877 0.84 0.858 0.91 upperarm 0.905 0.022 0.873 0.905 0.889 0.942 waist Weighted Avg. 0.895 0.017 0.895 0.895 0.895 0.939 === Confusion Matrix === a b c d e f g <-- classified as 448 4 5 0 5 22 2 | a = chest 15 389 27 0 10 12 31 | b = forearm 3 13 456 1 1 5 6 | c = head 1 5 2 455 11 5 8 | d = shin 5 8 4 6 447 10 6 | e = thigh 34 21 4 3 5 408 11 | f = upperarm 3 27 11 1 1 3 440 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3040 89.4381 % Incorrectly Classified Instances 359 10.5619 % Kappa statistic 0.8768 Mean absolute error 0.0302 Root mean squared error 0.1737 Relative absolute error 12.3223 % Root relative squared error 49.6432 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.936 0.026 0.857 0.936 0.895 0.955 chest 0.785 0.026 0.835 0.785 0.809 0.88 forearm 0.909 0.017 0.898 0.909 0.904 0.946 head 0.959 0.004 0.975 0.959 0.967 0.977 shin 0.946 0.01 0.939 0.946 0.943 0.968 thigh 0.833 0.022 0.864 0.833 0.848 0.906 upperarm 0.891 0.018 0.893 0.891 0.892 0.937 waist Weighted Avg. 0.894 0.018 0.894 0.894 0.894 0.938 === Confusion Matrix === a b c d e f g <-- classified as 455 1 0 0 7 23 0 | a = chest 16 380 27 4 10 16 31 | b = forearm 8 18 441 0 0 11 7 | c = head 3 1 1 467 9 4 2 | d = shin 4 3 1 6 459 7 5 | e = thigh 38 23 8 1 4 405 7 | f = upperarm 7 29 13 1 0 3 433 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3079 90.5855 % Incorrectly Classified Instances 320 9.4145 % Kappa statistic 0.8902 Mean absolute error 0.0269 Root mean squared error 0.164 Relative absolute error 10.9836 % Root relative squared error 46.8692 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.94 0.025 0.862 0.94 0.9 0.958 chest 0.814 0.021 0.868 0.814 0.84 0.897 forearm 0.938 0.013 0.921 0.938 0.93 0.962 head 0.949 0.005 0.971 0.949 0.959 0.972 shin 0.924 0.01 0.937 0.924 0.931 0.957 thigh 0.852 0.018 0.888 0.852 0.87 0.917 upperarm 0.924 0.018 0.896 0.924 0.91 0.953 waist Weighted Avg. 0.906 0.016 0.906 0.906 0.906 0.945 === Confusion Matrix === a b c d e f g <-- classified as 457 1 4 0 4 18 2 | a = chest 14 393 18 4 5 16 33 | b = forearm 3 14 455 2 0 5 6 | c = head 7 3 3 461 7 4 1 | d = shin 7 11 0 6 449 7 6 | e = thigh 37 14 7 1 9 414 4 | f = upperarm 5 17 7 1 5 2 450 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3037 89.3498 % Incorrectly Classified Instances 362 10.6502 % Kappa statistic 0.8757 Mean absolute error 0.0304 Root mean squared error 0.1744 Relative absolute error 12.4252 % Root relative squared error 49.8502 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.959 0.025 0.866 0.959 0.91 0.967 chest 0.783 0.028 0.82 0.783 0.801 0.877 forearm 0.926 0.018 0.896 0.926 0.911 0.954 head 0.957 0.005 0.967 0.957 0.962 0.976 shin 0.922 0.009 0.947 0.922 0.934 0.957 thigh 0.794 0.015 0.896 0.794 0.842 0.889 upperarm 0.914 0.024 0.866 0.914 0.889 0.945 waist Weighted Avg. 0.893 0.018 0.894 0.893 0.893 0.938 === Confusion Matrix === a b c d e f g <-- classified as 465 4 3 0 1 11 1 | a = chest 12 378 25 6 7 12 43 | b = forearm 3 21 450 1 0 6 5 | c = head 3 3 2 465 9 3 1 | d = shin 4 12 1 6 448 10 5 | e = thigh 45 28 7 2 4 386 14 | f = upperarm 5 15 14 1 4 3 445 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3022 88.9085 % Incorrectly Classified Instances 377 11.0915 % Kappa statistic 0.8706 Mean absolute error 0.0317 Root mean squared error 0.178 Relative absolute error 12.9401 % Root relative squared error 50.8726 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.924 0.027 0.852 0.924 0.886 0.948 chest 0.762 0.029 0.815 0.762 0.788 0.867 forearm 0.912 0.019 0.891 0.912 0.901 0.946 head 0.944 0.004 0.972 0.944 0.958 0.97 shin 0.942 0.012 0.927 0.942 0.935 0.965 thigh 0.837 0.019 0.883 0.837 0.859 0.909 upperarm 0.901 0.02 0.883 0.901 0.892 0.941 waist Weighted Avg. 0.889 0.018 0.889 0.889 0.889 0.935 === Confusion Matrix === a b c d e f g <-- classified as 448 4 2 2 7 19 3 | a = chest 20 369 30 1 15 18 31 | b = forearm 5 19 443 2 0 5 12 | c = head 4 4 4 459 12 2 1 | d = shin 11 4 2 2 458 8 1 | e = thigh 35 22 4 6 2 406 10 | f = upperarm 3 31 12 0 0 2 439 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3045 89.5852 % Incorrectly Classified Instances 354 10.4148 % Kappa statistic 0.8785 Mean absolute error 0.0298 Root mean squared error 0.1725 Relative absolute error 12.1506 % Root relative squared error 49.2963 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.955 0.029 0.845 0.955 0.897 0.963 chest 0.764 0.021 0.86 0.764 0.81 0.872 forearm 0.928 0.02 0.888 0.928 0.907 0.954 head 0.961 0.003 0.981 0.961 0.971 0.979 shin 0.944 0.009 0.944 0.944 0.944 0.968 thigh 0.821 0.021 0.869 0.821 0.844 0.9 upperarm 0.897 0.019 0.886 0.897 0.892 0.939 waist Weighted Avg. 0.896 0.017 0.896 0.896 0.895 0.939 === Confusion Matrix === a b c d e f g <-- classified as 464 2 2 0 1 16 1 | a = chest 18 370 28 3 10 20 35 | b = forearm 4 12 450 0 1 6 12 | c = head 2 3 3 467 5 4 2 | d = shin 9 2 1 4 459 9 2 | e = thigh 46 18 8 1 10 399 4 | f = upperarm 6 23 15 1 0 5 436 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3020 88.8497 % Incorrectly Classified Instances 379 11.1503 % Kappa statistic 0.8699 Mean absolute error 0.0319 Root mean squared error 0.1785 Relative absolute error 13.0087 % Root relative squared error 51.0073 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.916 0.023 0.867 0.916 0.891 0.946 chest 0.767 0.03 0.808 0.767 0.787 0.868 forearm 0.922 0.017 0.899 0.922 0.91 0.952 head 0.942 0.006 0.962 0.942 0.952 0.968 shin 0.936 0.011 0.934 0.936 0.935 0.963 thigh 0.805 0.024 0.85 0.805 0.827 0.89 upperarm 0.932 0.019 0.893 0.932 0.912 0.957 waist Weighted Avg. 0.888 0.019 0.888 0.888 0.888 0.935 === Confusion Matrix === a b c d e f g <-- classified as 445 7 3 0 1 30 0 | a = chest 8 371 33 4 13 22 33 | b = forearm 2 22 447 0 0 6 8 | c = head 4 2 3 458 13 5 1 | d = shin 5 10 1 8 455 4 3 | e = thigh 44 30 3 5 4 391 9 | f = upperarm 5 17 7 1 1 2 453 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3018 88.7908 % Incorrectly Classified Instances 381 11.2092 % Kappa statistic 0.8692 Mean absolute error 0.032 Root mean squared error 0.179 Relative absolute error 13.0774 % Root relative squared error 51.1417 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.938 0.024 0.867 0.938 0.901 0.957 chest 0.762 0.027 0.826 0.762 0.793 0.868 forearm 0.915 0.021 0.879 0.915 0.897 0.947 head 0.944 0.004 0.972 0.944 0.958 0.97 shin 0.934 0.011 0.934 0.934 0.934 0.962 thigh 0.821 0.021 0.869 0.821 0.844 0.9 upperarm 0.899 0.023 0.867 0.899 0.883 0.938 waist Weighted Avg. 0.888 0.019 0.888 0.888 0.887 0.935 === Confusion Matrix === a b c d e f g <-- classified as 456 3 2 0 6 18 1 | a = chest 12 369 31 5 13 18 36 | b = forearm 3 14 444 1 1 12 10 | c = head 4 2 3 459 8 6 4 | d = shin 10 7 0 4 454 4 7 | e = thigh 34 30 9 1 4 399 9 | f = upperarm 7 22 16 2 0 2 437 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3045 89.5852 % Incorrectly Classified Instances 354 10.4148 % Kappa statistic 0.8785 Mean absolute error 0.0298 Root mean squared error 0.1725 Relative absolute error 12.1506 % Root relative squared error 49.2963 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.93 0.023 0.869 0.93 0.899 0.953 chest 0.783 0.018 0.877 0.783 0.828 0.882 forearm 0.948 0.02 0.89 0.948 0.918 0.964 head 0.963 0.005 0.969 0.963 0.966 0.979 shin 0.907 0.011 0.934 0.907 0.921 0.948 thigh 0.821 0.023 0.856 0.821 0.838 0.899 upperarm 0.918 0.022 0.876 0.918 0.896 0.948 waist Weighted Avg. 0.896 0.017 0.896 0.896 0.895 0.939 === Confusion Matrix === a b c d e f g <-- classified as 452 3 4 2 5 19 1 | a = chest 18 379 28 2 5 25 27 | b = forearm 0 13 460 0 0 5 7 | c = head 1 3 1 468 8 3 2 | d = shin 4 6 4 9 441 11 11 | e = thigh 37 11 11 2 11 399 15 | f = upperarm 8 17 9 0 2 4 446 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 9 FOLD: 0 Correctly Classified Instances 3035 89.2647 % Incorrectly Classified Instances 365 10.7353 % Kappa statistic 0.8748 Mean absolute error 0.0307 Root mean squared error 0.1751 Relative absolute error 12.5245 % Root relative squared error 50.049 % Total Number of Instances 3400 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.938 0.023 0.874 0.938 0.905 0.958 chest 0.787 0.03 0.814 0.787 0.8 0.879 forearm 0.92 0.013 0.92 0.92 0.92 0.953 head 0.957 0.004 0.973 0.957 0.965 0.976 shin 0.928 0.011 0.932 0.928 0.93 0.958 thigh 0.812 0.019 0.876 0.812 0.843 0.897 upperarm 0.906 0.024 0.861 0.906 0.883 0.941 waist Weighted Avg. 0.893 0.018 0.893 0.893 0.892 0.937 === Confusion Matrix === a b c d e f g <-- classified as 456 5 3 0 4 18 0 | a = chest 12 381 18 4 12 18 39 | b = forearm 2 18 447 0 0 9 10 | c = head 1 3 4 465 8 4 1 | d = shin 10 4 0 5 451 5 11 | e = thigh 37 31 4 2 7 394 10 | f = upperarm 4 26 10 2 2 2 441 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 3043 89.5 % Incorrectly Classified Instances 357 10.5 % Kappa statistic 0.8775 Mean absolute error 0.03 Root mean squared error 0.1732 Relative absolute error 12.25 % Root relative squared error 49.4975 % Total Number of Instances 3400 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.959 0.032 0.832 0.959 0.891 0.963 chest 0.762 0.019 0.87 0.762 0.812 0.872 forearm 0.93 0.016 0.904 0.93 0.917 0.957 head 0.942 0.006 0.962 0.942 0.952 0.968 shin 0.93 0.01 0.94 0.93 0.935 0.96 thigh 0.819 0.019 0.879 0.819 0.848 0.9 upperarm 0.922 0.02 0.886 0.922 0.903 0.951 waist Weighted Avg. 0.895 0.017 0.896 0.895 0.894 0.939 === Confusion Matrix === a b c d e f g <-- classified as 466 0 1 1 4 14 0 | a = chest 18 368 25 5 9 22 36 | b = forearm 4 11 452 1 0 8 10 | c = head 5 5 1 458 10 4 3 | d = shin 9 7 0 7 452 7 4 | e = thigh 47 19 9 2 6 398 5 | f = upperarm 11 13 12 2 0 0 449 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3051 89.7617 % Incorrectly Classified Instances 348 10.2383 % Kappa statistic 0.8806 Mean absolute error 0.0293 Root mean squared error 0.171 Relative absolute error 11.9447 % Root relative squared error 48.8768 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.928 0.018 0.895 0.928 0.911 0.955 chest 0.787 0.024 0.844 0.787 0.815 0.881 forearm 0.926 0.02 0.884 0.926 0.904 0.953 head 0.947 0.004 0.973 0.947 0.959 0.971 shin 0.912 0.011 0.931 0.912 0.921 0.95 thigh 0.87 0.02 0.878 0.87 0.874 0.925 upperarm 0.914 0.021 0.879 0.914 0.896 0.946 waist Weighted Avg. 0.898 0.017 0.898 0.898 0.897 0.94 === Confusion Matrix === a b c d e f g <-- classified as 451 3 3 1 3 23 2 | a = chest 11 380 29 1 12 17 33 | b = forearm 6 18 449 1 0 4 7 | c = head 1 3 3 460 14 3 2 | d = shin 5 11 1 9 443 9 8 | e = thigh 26 18 7 1 2 423 9 | f = upperarm 4 17 16 0 2 3 445 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3038 89.3792 % Incorrectly Classified Instances 361 10.6208 % Kappa statistic 0.8761 Mean absolute error 0.0303 Root mean squared error 0.1742 Relative absolute error 12.3909 % Root relative squared error 49.7813 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.946 0.022 0.876 0.946 0.91 0.962 chest 0.748 0.025 0.83 0.748 0.787 0.861 forearm 0.936 0.02 0.887 0.936 0.911 0.958 head 0.947 0.005 0.968 0.947 0.957 0.971 shin 0.942 0.013 0.923 0.942 0.933 0.965 thigh 0.85 0.017 0.892 0.85 0.87 0.916 upperarm 0.887 0.021 0.876 0.887 0.881 0.933 waist Weighted Avg. 0.894 0.018 0.893 0.894 0.893 0.938 === Confusion Matrix === a b c d e f g <-- classified as 459 3 2 0 5 15 1 | a = chest 16 362 32 5 12 17 40 | b = forearm 1 18 454 2 0 4 6 | c = head 1 5 2 461 12 5 1 | d = shin 5 4 1 6 458 7 5 | e = thigh 32 19 5 2 7 413 8 | f = upperarm 10 25 16 0 2 2 431 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3048 89.6734 % Incorrectly Classified Instances 351 10.3266 % Kappa statistic 0.8795 Mean absolute error 0.0295 Root mean squared error 0.1718 Relative absolute error 12.0477 % Root relative squared error 49.087 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.936 0.026 0.855 0.936 0.894 0.955 chest 0.773 0.027 0.827 0.773 0.799 0.873 forearm 0.928 0.018 0.898 0.928 0.913 0.955 head 0.965 0.005 0.969 0.965 0.967 0.98 shin 0.928 0.007 0.956 0.928 0.942 0.96 thigh 0.815 0.018 0.882 0.815 0.847 0.898 upperarm 0.932 0.019 0.89 0.932 0.911 0.956 waist Weighted Avg. 0.897 0.017 0.897 0.897 0.896 0.94 === Confusion Matrix === a b c d e f g <-- classified as 454 5 4 0 0 19 3 | a = chest 16 374 30 1 13 19 31 | b = forearm 6 10 450 2 0 11 6 | c = head 3 3 1 470 4 2 4 | d = shin 7 10 3 6 451 1 8 | e = thigh 42 28 7 5 4 396 4 | f = upperarm 3 22 6 1 0 1 453 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3004 88.3789 % Incorrectly Classified Instances 395 11.6211 % Kappa statistic 0.8644 Mean absolute error 0.0332 Root mean squared error 0.1822 Relative absolute error 13.5579 % Root relative squared error 52.0729 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.918 0.026 0.856 0.918 0.886 0.946 chest 0.771 0.026 0.829 0.771 0.799 0.872 forearm 0.932 0.023 0.871 0.932 0.9 0.954 head 0.949 0.006 0.963 0.949 0.956 0.971 shin 0.94 0.012 0.929 0.94 0.934 0.964 thigh 0.805 0.021 0.863 0.805 0.833 0.892 upperarm 0.872 0.021 0.874 0.872 0.873 0.926 waist Weighted Avg. 0.884 0.019 0.884 0.884 0.883 0.932 === Confusion Matrix === a b c d e f g <-- classified as 446 3 5 0 5 25 2 | a = chest 15 373 32 8 11 15 30 | b = forearm 2 17 452 0 0 6 8 | c = head 6 0 5 462 7 4 3 | d = shin 5 5 1 4 456 7 7 | e = thigh 42 20 8 4 10 391 11 | f = upperarm 5 32 16 2 2 5 424 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3044 89.5558 % Incorrectly Classified Instances 355 10.4442 % Kappa statistic 0.8781 Mean absolute error 0.0298 Root mean squared error 0.1727 Relative absolute error 12.185 % Root relative squared error 49.3659 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.949 0.026 0.86 0.949 0.902 0.961 chest 0.777 0.027 0.826 0.777 0.801 0.875 forearm 0.907 0.018 0.896 0.907 0.902 0.945 head 0.94 0.003 0.983 0.94 0.961 0.969 shin 0.936 0.012 0.927 0.936 0.931 0.962 thigh 0.842 0.016 0.895 0.842 0.867 0.913 upperarm 0.918 0.02 0.885 0.918 0.901 0.949 waist Weighted Avg. 0.896 0.017 0.896 0.896 0.895 0.939 === Confusion Matrix === a b c d e f g <-- classified as 461 4 3 0 8 9 1 | a = chest 16 376 31 0 9 16 36 | b = forearm 5 25 440 1 1 5 8 | c = head 4 3 3 457 9 6 4 | d = shin 7 9 3 4 455 7 1 | e = thigh 39 16 5 2 7 409 8 | f = upperarm 4 22 6 1 2 5 446 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3036 89.3204 % Incorrectly Classified Instances 363 10.6796 % Kappa statistic 0.8754 Mean absolute error 0.0305 Root mean squared error 0.1747 Relative absolute error 12.4596 % Root relative squared error 49.919 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.936 0.024 0.868 0.936 0.901 0.956 chest 0.795 0.026 0.835 0.795 0.815 0.885 forearm 0.928 0.014 0.915 0.928 0.921 0.957 head 0.942 0.005 0.97 0.942 0.956 0.969 shin 0.924 0.011 0.932 0.924 0.928 0.956 thigh 0.817 0.022 0.863 0.817 0.839 0.898 upperarm 0.909 0.023 0.87 0.909 0.889 0.943 waist Weighted Avg. 0.893 0.018 0.893 0.893 0.893 0.938 === Confusion Matrix === a b c d e f g <-- classified as 455 2 1 2 4 20 2 | a = chest 11 385 23 1 11 21 32 | b = forearm 2 15 450 2 0 6 10 | c = head 4 7 2 458 10 2 3 | d = shin 7 8 4 6 449 9 3 | e = thigh 39 22 4 2 6 397 16 | f = upperarm 6 22 8 1 2 5 442 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3016 88.732 % Incorrectly Classified Instances 383 11.268 % Kappa statistic 0.8685 Mean absolute error 0.0322 Root mean squared error 0.1794 Relative absolute error 13.146 % Root relative squared error 51.2758 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.916 0.026 0.852 0.916 0.883 0.945 chest 0.777 0.025 0.839 0.777 0.807 0.876 forearm 0.913 0.016 0.904 0.913 0.909 0.949 head 0.944 0.004 0.975 0.944 0.959 0.97 shin 0.947 0.014 0.92 0.947 0.933 0.966 thigh 0.802 0.024 0.846 0.802 0.824 0.889 upperarm 0.912 0.022 0.874 0.912 0.892 0.945 waist Weighted Avg. 0.887 0.019 0.887 0.887 0.887 0.934 === Confusion Matrix === a b c d e f g <-- classified as 445 4 2 0 8 25 2 | a = chest 20 376 21 7 8 18 34 | b = forearm 4 17 443 0 2 10 9 | c = head 2 4 1 459 10 6 4 | d = shin 7 2 1 4 460 8 4 | e = thigh 40 28 6 1 10 390 11 | f = upperarm 4 17 16 0 2 4 443 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3040 89.4381 % Incorrectly Classified Instances 359 10.5619 % Kappa statistic 0.8768 Mean absolute error 0.0302 Root mean squared error 0.1737 Relative absolute error 12.3223 % Root relative squared error 49.6432 % Total Number of Instances 3399 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.92 0.022 0.873 0.92 0.896 0.949 chest 0.789 0.026 0.832 0.789 0.81 0.881 forearm 0.924 0.018 0.898 0.924 0.911 0.953 head 0.955 0.006 0.965 0.955 0.96 0.974 shin 0.914 0.009 0.945 0.914 0.929 0.952 thigh 0.835 0.025 0.849 0.835 0.842 0.905 upperarm 0.924 0.018 0.898 0.924 0.911 0.953 waist Weighted Avg. 0.894 0.018 0.894 0.894 0.894 0.938 === Confusion Matrix === a b c d e f g <-- classified as 447 3 4 0 6 26 0 | a = chest 14 382 29 3 7 20 29 | b = forearm 3 22 448 1 1 2 8 | c = head 6 1 2 464 7 5 1 | d = shin 6 8 0 9 444 15 4 | e = thigh 33 23 8 4 3 406 9 | f = upperarm 3 20 8 0 2 4 449 | g = waist ------------------------------------------------------------------------------------------------------ SUBJECT: 12 RUN: 0 FOLD: 0 Correctly Classified Instances 2982 91.7256 % Incorrectly Classified Instances 269 8.2744 % Kappa statistic 0.9035 Mean absolute error 0.0236 Root mean squared error 0.1538 Relative absolute error 9.6534 % Root relative squared error 43.9396 % Total Number of Instances 3251 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.905 0.013 0.921 0.905 0.913 0.946 chest 0.875 0.022 0.868 0.875 0.871 0.926 forearm 0.927 0.008 0.951 0.927 0.939 0.959 head 0.97 0.003 0.985 0.97 0.977 0.984 shin 0.935 0.018 0.895 0.935 0.915 0.959 thigh 0.849 0.021 0.872 0.849 0.86 0.914 upperarm 0.959 0.012 0.931 0.959 0.945 0.974 waist Weighted Avg. 0.917 0.014 0.918 0.917 0.917 0.952 === Confusion Matrix === a b c d e f g <-- classified as 421 2 0 1 18 21 2 | a = chest 4 406 14 2 5 18 15 | b = forearm 0 18 431 0 1 4 11 | c = head 0 4 0 450 7 0 3 | d = shin 8 4 0 2 434 15 1 | e = thigh 24 21 4 1 19 394 1 | f = upperarm 0 13 4 1 1 0 446 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2962 91.1104 % Incorrectly Classified Instances 289 8.8896 % Kappa statistic 0.8963 Mean absolute error 0.0254 Root mean squared error 0.1594 Relative absolute error 10.3712 % Root relative squared error 45.5438 % Total Number of Instances 3251 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.899 0.013 0.919 0.899 0.909 0.943 chest 0.832 0.025 0.846 0.832 0.839 0.903 forearm 0.927 0.015 0.913 0.927 0.92 0.956 head 0.966 0.003 0.98 0.966 0.973 0.981 shin 0.94 0.014 0.918 0.94 0.929 0.963 thigh 0.886 0.018 0.89 0.886 0.888 0.934 upperarm 0.929 0.015 0.911 0.929 0.92 0.957 waist Weighted Avg. 0.911 0.015 0.911 0.911 0.911 0.948 === Confusion Matrix === a b c d e f g <-- classified as 418 5 1 0 19 20 2 | a = chest 3 386 24 4 4 16 27 | b = forearm 1 22 431 0 0 5 6 | c = head 0 4 1 448 5 3 3 | d = shin 14 4 1 2 436 6 1 | e = thigh 18 17 4 3 8 411 3 | f = upperarm 1 18 10 0 3 1 432 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2975 91.5103 % Incorrectly Classified Instances 276 8.4897 % Kappa statistic 0.901 Mean absolute error 0.0243 Root mean squared error 0.1557 Relative absolute error 9.9046 % Root relative squared error 44.5076 % Total Number of Instances 3251 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.895 0.013 0.918 0.895 0.906 0.941 chest 0.849 0.022 0.864 0.849 0.857 0.913 forearm 0.935 0.011 0.935 0.935 0.935 0.962 head 0.968 0.001 0.991 0.968 0.979 0.983 shin 0.961 0.015 0.912 0.961 0.936 0.973 thigh 0.853 0.02 0.878 0.853 0.866 0.917 upperarm 0.944 0.016 0.907 0.944 0.925 0.964 waist Weighted Avg. 0.915 0.014 0.915 0.915 0.915 0.95 === Confusion Matrix === a b c d e f g <-- classified as 416 4 1 0 16 26 2 | a = chest 3 394 17 0 5 15 30 | b = forearm 0 17 435 0 0 3 10 | c = head 2 5 0 449 6 2 0 | d = shin 7 1 0 1 446 8 1 | e = thigh 25 22 2 2 15 396 2 | f = upperarm 0 13 10 1 1 1 439 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2969 91.3257 % Incorrectly Classified Instances 282 8.6743 % Kappa statistic 0.8988 Mean absolute error 0.0248 Root mean squared error 0.1574 Relative absolute error 10.12 % Root relative squared error 44.9888 % Total Number of Instances 3251 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.895 0.015 0.91 0.895 0.902 0.94 chest 0.828 0.025 0.848 0.828 0.838 0.901 forearm 0.92 0.01 0.937 0.92 0.928 0.955 head 0.976 0.002 0.987 0.976 0.982 0.987 shin 0.944 0.015 0.911 0.944 0.927 0.964 thigh 0.877 0.017 0.898 0.877 0.888 0.93 upperarm 0.953 0.017 0.902 0.953 0.927 0.968 waist Weighted Avg. 0.913 0.014 0.913 0.913 0.913 0.949 === Confusion Matrix === a b c d e f g <-- classified as 416 6 2 0 19 18 4 | a = chest 5 384 22 2 9 13 29 | b = forearm 0 20 428 0 2 5 10 | c = head 0 6 2 453 2 1 0 | d = shin 16 2 0 0 438 7 1 | e = thigh 20 22 0 3 8 407 4 | f = upperarm 0 13 3 1 3 2 443 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2960 91.0489 % Incorrectly Classified Instances 291 8.9511 % Kappa statistic 0.8956 Mean absolute error 0.0256 Root mean squared error 0.1599 Relative absolute error 10.4429 % Root relative squared error 45.7011 % Total Number of Instances 3251 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.914 0.017 0.902 0.914 0.908 0.949 chest 0.823 0.025 0.845 0.823 0.834 0.899 forearm 0.951 0.01 0.94 0.951 0.945 0.97 head 0.961 0.004 0.978 0.961 0.97 0.979 shin 0.927 0.013 0.923 0.927 0.925 0.957 thigh 0.864 0.022 0.866 0.864 0.865 0.921 upperarm 0.933 0.014 0.917 0.933 0.925 0.96 waist Weighted Avg. 0.91 0.015 0.91 0.91 0.91 0.948 === Confusion Matrix === a b c d e f g <-- classified as 425 4 1 2 6 23 4 | a = chest 6 381 14 3 10 22 27 | b = forearm 1 12 442 0 1 5 4 | c = head 0 8 0 447 5 4 1 | d = shin 14 7 1 3 431 8 1 | e = thigh 24 18 4 2 13 401 2 | f = upperarm 1 21 8 0 1 0 433 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2956 90.9538 % Incorrectly Classified Instances 294 9.0462 % Kappa statistic 0.8945 Mean absolute error 0.0258 Root mean squared error 0.1608 Relative absolute error 10.5538 % Root relative squared error 45.9431 % Total Number of Instances 3250 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.89 0.015 0.908 0.89 0.899 0.938 chest 0.862 0.026 0.847 0.862 0.854 0.918 forearm 0.938 0.008 0.95 0.938 0.944 0.965 head 0.942 0.002 0.986 0.942 0.964 0.97 shin 0.927 0.015 0.911 0.927 0.919 0.956 thigh 0.862 0.022 0.869 0.862 0.866 0.92 upperarm 0.946 0.018 0.9 0.946 0.922 0.964 waist Weighted Avg. 0.91 0.015 0.91 0.91 0.91 0.947 === Confusion Matrix === a b c d e f g <-- classified as 413 4 1 1 19 24 2 | a = chest 4 399 14 2 3 14 27 | b = forearm 0 13 437 0 2 4 10 | c = head 1 7 0 438 9 5 5 | d = shin 10 8 0 2 431 13 1 | e = thigh 25 23 2 1 9 399 4 | f = upperarm 2 17 6 0 0 0 439 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2997 92.2154 % Incorrectly Classified Instances 253 7.7846 % Kappa statistic 0.9092 Mean absolute error 0.0222 Root mean squared error 0.1491 Relative absolute error 9.0821 % Root relative squared error 42.6194 % Total Number of Instances 3250 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.918 0.019 0.889 0.918 0.903 0.95 chest 0.86 0.018 0.888 0.86 0.874 0.921 forearm 0.942 0.01 0.942 0.942 0.942 0.966 head 0.976 0.002 0.987 0.976 0.982 0.987 shin 0.942 0.012 0.93 0.942 0.936 0.965 thigh 0.86 0.017 0.894 0.86 0.877 0.921 upperarm 0.957 0.013 0.923 0.957 0.94 0.972 waist Weighted Avg. 0.922 0.013 0.922 0.922 0.922 0.955 === Confusion Matrix === a b c d e f g <-- classified as 426 4 1 1 11 19 2 | a = chest 7 398 15 0 5 14 24 | b = forearm 1 15 439 0 0 3 8 | c = head 1 4 0 454 5 1 0 | d = shin 12 2 0 2 438 10 1 | e = thigh 32 14 2 3 12 398 2 | f = upperarm 0 11 9 0 0 0 444 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2962 91.1385 % Incorrectly Classified Instances 288 8.8615 % Kappa statistic 0.8966 Mean absolute error 0.0253 Root mean squared error 0.1591 Relative absolute error 10.3385 % Root relative squared error 45.4719 % Total Number of Instances 3250 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.897 0.019 0.889 0.897 0.893 0.939 chest 0.849 0.022 0.864 0.849 0.856 0.913 forearm 0.948 0.013 0.923 0.948 0.935 0.968 head 0.957 0.003 0.982 0.957 0.969 0.977 shin 0.929 0.013 0.921 0.929 0.925 0.958 thigh 0.869 0.022 0.87 0.869 0.869 0.923 upperarm 0.931 0.011 0.931 0.931 0.931 0.96 waist Weighted Avg. 0.911 0.015 0.911 0.911 0.911 0.948 === Confusion Matrix === a b c d e f g <-- classified as 416 2 2 0 15 28 1 | a = chest 6 393 15 3 5 17 24 | b = forearm 0 17 442 0 1 3 3 | c = head 4 5 1 444 5 4 1 | d = shin 15 6 2 2 432 7 1 | e = thigh 26 16 5 2 10 403 2 | f = upperarm 1 16 12 1 1 1 432 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3005 92.4615 % Incorrectly Classified Instances 245 7.5385 % Kappa statistic 0.9121 Mean absolute error 0.0215 Root mean squared error 0.1468 Relative absolute error 8.7949 % Root relative squared error 41.9401 % Total Number of Instances 3250 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.92 0.018 0.897 0.92 0.909 0.951 chest 0.866 0.013 0.916 0.866 0.89 0.926 forearm 0.948 0.013 0.923 0.948 0.935 0.968 head 0.991 0.004 0.979 0.991 0.985 0.994 shin 0.972 0.015 0.913 0.972 0.942 0.978 thigh 0.828 0.012 0.921 0.828 0.872 0.908 upperarm 0.946 0.013 0.924 0.946 0.935 0.967 waist Weighted Avg. 0.925 0.013 0.925 0.925 0.924 0.956 === Confusion Matrix === a b c d e f g <-- classified as 427 2 0 2 18 14 1 | a = chest 3 401 20 3 4 10 22 | b = forearm 1 9 442 1 1 3 9 | c = head 2 0 0 460 1 0 1 | d = shin 7 1 0 2 452 3 0 | e = thigh 36 17 6 2 16 384 3 | f = upperarm 0 8 11 0 3 3 439 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2988 91.9385 % Incorrectly Classified Instances 262 8.0615 % Kappa statistic 0.9059 Mean absolute error 0.023 Root mean squared error 0.1518 Relative absolute error 9.4051 % Root relative squared error 43.3708 % Total Number of Instances 3250 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.909 0.019 0.888 0.909 0.899 0.945 chest 0.86 0.02 0.877 0.86 0.868 0.92 forearm 0.927 0.009 0.945 0.927 0.936 0.959 head 0.97 0.003 0.985 0.97 0.977 0.984 shin 0.944 0.012 0.928 0.944 0.936 0.966 thigh 0.862 0.017 0.895 0.862 0.878 0.923 upperarm 0.963 0.014 0.918 0.963 0.94 0.975 waist Weighted Avg. 0.919 0.013 0.919 0.919 0.919 0.953 === Confusion Matrix === a b c d e f g <-- classified as 422 2 0 2 15 20 3 | a = chest 6 399 16 1 4 14 24 | b = forearm 1 20 431 0 0 2 11 | c = head 3 3 0 450 4 3 1 | d = shin 11 7 0 2 438 6 0 | e = thigh 30 16 5 2 10 400 1 | f = upperarm 2 8 4 0 1 2 448 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 1 FOLD: 0 Correctly Classified Instances 3001 92.3101 % Incorrectly Classified Instances 250 7.6899 % Kappa statistic 0.9103 Mean absolute error 0.022 Root mean squared error 0.1482 Relative absolute error 8.9716 % Root relative squared error 42.3594 % Total Number of Instances 3251 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.914 0.015 0.91 0.914 0.912 0.949 chest 0.847 0.021 0.869 0.847 0.858 0.913 forearm 0.946 0.005 0.967 0.946 0.957 0.97 head 0.97 0.003 0.983 0.97 0.976 0.983 shin 0.953 0.013 0.925 0.953 0.939 0.97 thigh 0.871 0.018 0.888 0.871 0.879 0.926 upperarm 0.961 0.014 0.92 0.961 0.94 0.974 waist Weighted Avg. 0.923 0.013 0.923 0.923 0.923 0.955 === Confusion Matrix === a b c d e f g <-- classified as 425 3 0 0 15 19 3 | a = chest 6 392 10 3 6 19 27 | b = forearm 1 15 441 0 1 3 5 | c = head 2 2 0 450 6 2 2 | d = shin 9 4 0 1 443 8 0 | e = thigh 24 21 2 4 7 404 2 | f = upperarm 0 14 3 0 1 0 446 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2989 91.9409 % Incorrectly Classified Instances 262 8.0591 % Kappa statistic 0.906 Mean absolute error 0.023 Root mean squared error 0.1517 Relative absolute error 9.4022 % Root relative squared error 43.3641 % Total Number of Instances 3251 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.925 0.017 0.901 0.925 0.913 0.954 chest 0.862 0.027 0.842 0.862 0.852 0.917 forearm 0.948 0.012 0.931 0.948 0.939 0.968 head 0.966 0.002 0.989 0.966 0.977 0.982 shin 0.951 0.013 0.927 0.951 0.938 0.969 thigh 0.838 0.013 0.917 0.838 0.876 0.913 upperarm 0.946 0.011 0.932 0.946 0.939 0.967 waist Weighted Avg. 0.919 0.013 0.92 0.919 0.919 0.953 === Confusion Matrix === a b c d e f g <-- classified as 430 2 0 0 13 20 0 | a = chest 7 399 22 1 4 6 24 | b = forearm 0 15 442 1 0 2 6 | c = head 2 7 1 448 6 0 0 | d = shin 10 6 0 1 442 6 0 | e = thigh 28 26 6 1 12 389 2 | f = upperarm 0 19 4 1 0 1 439 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2976 91.5411 % Incorrectly Classified Instances 275 8.4589 % Kappa statistic 0.9013 Mean absolute error 0.0242 Root mean squared error 0.1555 Relative absolute error 9.8688 % Root relative squared error 44.4269 % Total Number of Instances 3251 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.918 0.017 0.903 0.918 0.91 0.951 chest 0.857 0.024 0.854 0.857 0.856 0.917 forearm 0.914 0.01 0.94 0.914 0.927 0.952 head 0.978 0.003 0.983 0.978 0.981 0.988 shin 0.946 0.016 0.909 0.946 0.927 0.965 thigh 0.844 0.017 0.891 0.844 0.867 0.914 upperarm 0.948 0.012 0.928 0.948 0.938 0.968 waist Weighted Avg. 0.915 0.014 0.915 0.915 0.915 0.951 === Confusion Matrix === a b c d e f g <-- classified as 427 4 0 0 17 16 1 | a = chest 2 397 17 6 7 17 17 | b = forearm 0 22 426 0 0 7 11 | c = head 1 4 0 455 0 3 2 | d = shin 16 5 0 0 439 4 0 | e = thigh 26 20 2 2 19 391 3 | f = upperarm 1 13 8 0 1 1 441 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2987 91.8794 % Incorrectly Classified Instances 264 8.1206 % Kappa statistic 0.9053 Mean absolute error 0.0232 Root mean squared error 0.1523 Relative absolute error 9.474 % Root relative squared error 43.5293 % Total Number of Instances 3251 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.914 0.014 0.918 0.914 0.916 0.95 chest 0.849 0.023 0.862 0.849 0.855 0.913 forearm 0.921 0.01 0.941 0.921 0.931 0.955 head 0.972 0.003 0.98 0.972 0.976 0.984 shin 0.946 0.013 0.922 0.946 0.934 0.966 thigh 0.894 0.018 0.892 0.894 0.893 0.938 upperarm 0.935 0.014 0.916 0.935 0.926 0.961 waist Weighted Avg. 0.919 0.014 0.919 0.919 0.919 0.953 === Confusion Matrix === a b c d e f g <-- classified as 425 4 1 2 20 10 3 | a = chest 5 393 14 1 5 22 23 | b = forearm 0 23 429 0 0 5 9 | c = head 0 7 0 452 2 2 2 | d = shin 11 3 0 3 439 8 0 | e = thigh 22 15 0 1 8 414 3 | f = upperarm 0 11 12 2 2 3 435 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2956 90.9259 % Incorrectly Classified Instances 295 9.0741 % Kappa statistic 0.8941 Mean absolute error 0.0259 Root mean squared error 0.161 Relative absolute error 10.5865 % Root relative squared error 46.0141 % Total Number of Instances 3251 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.892 0.015 0.908 0.892 0.9 0.939 chest 0.834 0.024 0.852 0.834 0.843 0.905 forearm 0.927 0.013 0.923 0.927 0.925 0.957 head 0.961 0.003 0.985 0.961 0.973 0.979 shin 0.933 0.012 0.929 0.933 0.931 0.961 thigh 0.871 0.026 0.847 0.871 0.859 0.922 upperarm 0.946 0.013 0.922 0.946 0.934 0.966 waist Weighted Avg. 0.909 0.015 0.91 0.909 0.909 0.947 === Confusion Matrix === a b c d e f g <-- classified as 414 10 1 1 13 24 1 | a = chest 0 387 21 1 4 25 26 | b = forearm 1 18 431 0 2 6 7 | c = head 0 9 1 447 2 5 1 | d = shin 13 4 0 2 433 11 1 | e = thigh 28 13 3 3 12 404 1 | f = upperarm 0 13 10 0 0 2 440 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2981 91.7231 % Incorrectly Classified Instances 269 8.2769 % Kappa statistic 0.9034 Mean absolute error 0.0236 Root mean squared error 0.1538 Relative absolute error 9.6564 % Root relative squared error 43.9464 % Total Number of Instances 3250 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.901 0.011 0.931 0.901 0.916 0.945 chest 0.871 0.023 0.863 0.871 0.867 0.924 forearm 0.953 0.015 0.912 0.953 0.932 0.969 head 0.966 0.003 0.982 0.966 0.974 0.981 shin 0.944 0.014 0.916 0.944 0.93 0.965 thigh 0.843 0.015 0.901 0.843 0.871 0.914 upperarm 0.944 0.014 0.916 0.944 0.93 0.965 waist Weighted Avg. 0.917 0.014 0.917 0.917 0.917 0.952 === Confusion Matrix === a b c d e f g <-- classified as 418 4 3 1 13 20 5 | a = chest 1 404 21 1 3 9 25 | b = forearm 1 12 443 1 2 0 6 | c = head 0 5 1 448 8 2 0 | d = shin 5 7 0 2 438 11 1 | e = thigh 24 20 10 3 13 391 3 | f = upperarm 0 16 8 0 1 1 439 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2981 91.7231 % Incorrectly Classified Instances 269 8.2769 % Kappa statistic 0.9034 Mean absolute error 0.0236 Root mean squared error 0.1538 Relative absolute error 9.6564 % Root relative squared error 43.9464 % Total Number of Instances 3250 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.892 0.015 0.908 0.892 0.9 0.939 chest 0.841 0.023 0.861 0.841 0.851 0.909 forearm 0.944 0.012 0.93 0.944 0.937 0.966 head 0.972 0.003 0.985 0.972 0.978 0.985 shin 0.944 0.011 0.934 0.944 0.939 0.966 thigh 0.866 0.019 0.885 0.866 0.876 0.924 upperarm 0.961 0.015 0.916 0.961 0.938 0.973 waist Weighted Avg. 0.917 0.014 0.917 0.917 0.917 0.952 === Confusion Matrix === a b c d e f g <-- classified as 414 7 0 1 14 26 2 | a = chest 5 390 22 1 8 13 25 | b = forearm 0 13 439 0 0 2 11 | c = head 0 8 2 451 1 1 1 | d = shin 10 3 1 3 438 9 0 | e = thigh 27 20 3 2 8 402 2 | f = upperarm 0 12 5 0 0 1 447 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2972 91.4462 % Incorrectly Classified Instances 278 8.5538 % Kappa statistic 0.9002 Mean absolute error 0.0244 Root mean squared error 0.1563 Relative absolute error 9.9795 % Root relative squared error 44.6755 % Total Number of Instances 3250 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.892 0.018 0.894 0.892 0.893 0.937 chest 0.884 0.026 0.851 0.884 0.867 0.929 forearm 0.933 0.01 0.941 0.933 0.937 0.962 head 0.961 0.001 0.993 0.961 0.977 0.98 shin 0.944 0.013 0.922 0.944 0.933 0.965 thigh 0.853 0.02 0.878 0.853 0.866 0.917 upperarm 0.933 0.013 0.925 0.933 0.929 0.96 waist Weighted Avg. 0.914 0.014 0.915 0.914 0.915 0.95 === Confusion Matrix === a b c d e f g <-- classified as 414 6 2 1 14 26 1 | a = chest 3 410 14 0 2 11 24 | b = forearm 1 18 434 0 0 5 7 | c = head 2 2 1 446 8 4 1 | d = shin 9 5 1 2 439 8 1 | e = thigh 32 20 2 0 13 396 1 | f = upperarm 2 21 7 0 0 1 433 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2950 90.7692 % Incorrectly Classified Instances 300 9.2308 % Kappa statistic 0.8923 Mean absolute error 0.0264 Root mean squared error 0.1624 Relative absolute error 10.7692 % Root relative squared error 46.4095 % Total Number of Instances 3250 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.892 0.019 0.887 0.892 0.889 0.937 chest 0.832 0.02 0.873 0.832 0.852 0.906 forearm 0.92 0.011 0.934 0.92 0.927 0.955 head 0.961 0.004 0.978 0.961 0.97 0.979 shin 0.935 0.017 0.904 0.935 0.92 0.959 thigh 0.86 0.021 0.871 0.86 0.866 0.919 upperarm 0.953 0.017 0.906 0.953 0.929 0.968 waist Weighted Avg. 0.908 0.015 0.908 0.908 0.907 0.946 === Confusion Matrix === a b c d e f g <-- classified as 414 3 0 1 23 22 1 | a = chest 8 386 18 3 4 15 30 | b = forearm 0 20 428 0 0 6 11 | c = head 2 7 0 446 6 3 0 | d = shin 14 3 0 2 435 10 1 | e = thigh 26 14 5 4 13 399 3 | f = upperarm 3 9 7 0 0 3 442 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2956 90.9538 % Incorrectly Classified Instances 294 9.0462 % Kappa statistic 0.8945 Mean absolute error 0.0258 Root mean squared error 0.1608 Relative absolute error 10.5538 % Root relative squared error 45.9431 % Total Number of Instances 3250 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.886 0.018 0.894 0.886 0.89 0.934 chest 0.849 0.028 0.836 0.849 0.842 0.911 forearm 0.935 0.01 0.938 0.935 0.936 0.963 head 0.968 0.003 0.982 0.968 0.975 0.982 shin 0.931 0.009 0.945 0.931 0.938 0.961 thigh 0.866 0.024 0.859 0.866 0.863 0.921 upperarm 0.931 0.014 0.915 0.931 0.923 0.958 waist Weighted Avg. 0.91 0.015 0.91 0.91 0.91 0.947 === Confusion Matrix === a b c d e f g <-- classified as 412 4 0 1 14 31 3 | a = chest 3 393 17 3 3 17 27 | b = forearm 1 17 435 0 0 4 8 | c = head 1 7 0 449 3 4 0 | d = shin 13 7 0 3 433 9 0 | e = thigh 31 22 3 0 4 402 2 | f = upperarm 0 20 9 1 1 1 432 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 2 FOLD: 0 Correctly Classified Instances 2978 91.6026 % Incorrectly Classified Instances 273 8.3974 % Kappa statistic 0.902 Mean absolute error 0.024 Root mean squared error 0.1549 Relative absolute error 9.797 % Root relative squared error 44.2651 % Total Number of Instances 3251 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.897 0.018 0.893 0.897 0.895 0.939 chest 0.84 0.02 0.872 0.84 0.856 0.91 forearm 0.948 0.009 0.946 0.948 0.947 0.97 head 0.963 0.002 0.987 0.963 0.975 0.981 shin 0.946 0.014 0.919 0.946 0.932 0.966 thigh 0.869 0.018 0.888 0.869 0.878 0.925 upperarm 0.948 0.016 0.907 0.948 0.927 0.966 waist Weighted Avg. 0.916 0.014 0.916 0.916 0.916 0.951 === Confusion Matrix === a b c d e f g <-- classified as 417 4 1 3 15 24 1 | a = chest 8 389 17 1 3 12 33 | b = forearm 0 16 441 0 0 1 7 | c = head 0 5 0 447 4 6 2 | d = shin 15 2 0 1 440 7 0 | e = thigh 25 15 2 1 16 403 2 | f = upperarm 2 15 5 0 1 1 441 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2950 90.7413 % Incorrectly Classified Instances 301 9.2587 % Kappa statistic 0.892 Mean absolute error 0.0265 Root mean squared error 0.1626 Relative absolute error 10.8018 % Root relative squared error 46.4797 % Total Number of Instances 3251 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.892 0.015 0.91 0.892 0.901 0.939 chest 0.847 0.024 0.856 0.847 0.851 0.911 forearm 0.933 0.011 0.933 0.933 0.933 0.961 head 0.957 0.003 0.984 0.957 0.97 0.977 shin 0.953 0.02 0.888 0.953 0.919 0.966 thigh 0.838 0.02 0.872 0.838 0.855 0.909 upperarm 0.931 0.015 0.91 0.931 0.92 0.958 waist Weighted Avg. 0.907 0.015 0.908 0.907 0.907 0.946 === Confusion Matrix === a b c d e f g <-- classified as 415 3 1 1 21 22 2 | a = chest 4 392 16 3 5 18 25 | b = forearm 0 17 434 0 4 1 9 | c = head 0 7 0 444 7 3 3 | d = shin 6 2 0 2 443 11 1 | e = thigh 30 23 2 1 16 389 3 | f = upperarm 1 14 12 0 3 2 433 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2985 91.8179 % Incorrectly Classified Instances 266 8.1821 % Kappa statistic 0.9045 Mean absolute error 0.0234 Root mean squared error 0.1529 Relative absolute error 9.5458 % Root relative squared error 43.6939 % Total Number of Instances 3251 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.905 0.012 0.927 0.905 0.916 0.947 chest 0.847 0.023 0.862 0.847 0.854 0.912 forearm 0.951 0.013 0.923 0.951 0.936 0.969 head 0.972 0.002 0.987 0.972 0.979 0.985 shin 0.94 0.018 0.899 0.94 0.919 0.961 thigh 0.864 0.014 0.913 0.864 0.888 0.925 upperarm 0.948 0.014 0.917 0.948 0.932 0.967 waist Weighted Avg. 0.918 0.014 0.918 0.918 0.918 0.952 === Confusion Matrix === a b c d e f g <-- classified as 421 4 0 2 19 15 4 | a = chest 2 392 23 2 10 7 27 | b = forearm 0 15 442 0 1 0 7 | c = head 1 6 0 451 4 1 1 | d = shin 10 5 0 0 437 13 0 | e = thigh 19 23 5 1 14 401 1 | f = upperarm 1 10 9 1 1 2 441 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3015 92.7407 % Incorrectly Classified Instances 236 7.2593 % Kappa statistic 0.9153 Mean absolute error 0.0207 Root mean squared error 0.144 Relative absolute error 8.4692 % Root relative squared error 41.1563 % Total Number of Instances 3251 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.942 0.015 0.911 0.942 0.926 0.963 chest 0.888 0.023 0.867 0.888 0.877 0.933 forearm 0.931 0.008 0.952 0.931 0.941 0.962 head 0.966 0.002 0.989 0.966 0.977 0.982 shin 0.933 0.01 0.937 0.933 0.935 0.961 thigh 0.869 0.015 0.908 0.869 0.888 0.927 upperarm 0.963 0.012 0.931 0.963 0.947 0.976 waist Weighted Avg. 0.927 0.012 0.928 0.927 0.927 0.958 === Confusion Matrix === a b c d e f g <-- classified as 438 4 0 0 9 13 1 | a = chest 4 411 11 0 4 14 19 | b = forearm 0 19 433 1 0 5 7 | c = head 3 6 0 448 4 1 2 | d = shin 11 11 0 0 434 8 1 | e = thigh 25 15 3 3 12 403 3 | f = upperarm 0 8 8 1 0 0 448 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2961 91.0797 % Incorrectly Classified Instances 290 8.9203 % Kappa statistic 0.8959 Mean absolute error 0.0255 Root mean squared error 0.1596 Relative absolute error 10.4071 % Root relative squared error 45.6225 % Total Number of Instances 3251 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.89 0.02 0.883 0.89 0.887 0.935 chest 0.896 0.027 0.849 0.896 0.872 0.935 forearm 0.901 0.006 0.959 0.901 0.929 0.947 head 0.955 0.002 0.987 0.955 0.97 0.976 shin 0.951 0.017 0.902 0.951 0.926 0.967 thigh 0.834 0.018 0.884 0.834 0.858 0.908 upperarm 0.948 0.014 0.921 0.948 0.934 0.967 waist Weighted Avg. 0.911 0.015 0.912 0.911 0.911 0.948 === Confusion Matrix === a b c d e f g <-- classified as 414 3 0 0 21 27 0 | a = chest 1 415 8 1 5 9 24 | b = forearm 3 27 419 0 1 5 10 | c = head 2 5 0 444 8 5 1 | d = shin 12 3 0 3 442 5 0 | e = thigh 36 22 2 2 12 387 3 | f = upperarm 1 14 8 0 1 0 440 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2975 91.5385 % Incorrectly Classified Instances 275 8.4615 % Kappa statistic 0.9013 Mean absolute error 0.0242 Root mean squared error 0.1555 Relative absolute error 9.8718 % Root relative squared error 44.4338 % Total Number of Instances 3250 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.897 0.014 0.914 0.897 0.905 0.941 chest 0.847 0.023 0.86 0.847 0.853 0.912 forearm 0.944 0.009 0.948 0.944 0.946 0.968 head 0.968 0.003 0.983 0.968 0.975 0.982 shin 0.929 0.016 0.905 0.929 0.917 0.956 thigh 0.87 0.023 0.865 0.87 0.868 0.924 upperarm 0.953 0.011 0.932 0.953 0.942 0.971 waist Weighted Avg. 0.915 0.014 0.915 0.915 0.915 0.951 === Confusion Matrix === a b c d e f g <-- classified as 416 6 0 1 19 21 1 | a = chest 2 393 13 2 8 23 23 | b = forearm 2 15 440 0 0 4 5 | c = head 2 7 0 450 3 2 1 | d = shin 13 6 0 2 431 11 1 | e = thigh 20 16 5 3 15 403 1 | f = upperarm 0 14 6 0 0 2 442 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2976 91.5692 % Incorrectly Classified Instances 274 8.4308 % Kappa statistic 0.9016 Mean absolute error 0.0241 Root mean squared error 0.1552 Relative absolute error 9.8359 % Root relative squared error 44.3529 % Total Number of Instances 3250 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.892 0.015 0.91 0.892 0.901 0.939 chest 0.862 0.026 0.846 0.862 0.854 0.918 forearm 0.938 0.01 0.94 0.938 0.939 0.964 head 0.974 0.003 0.985 0.974 0.979 0.986 shin 0.961 0.015 0.914 0.961 0.937 0.973 thigh 0.844 0.016 0.899 0.844 0.871 0.914 upperarm 0.938 0.014 0.918 0.938 0.928 0.962 waist Weighted Avg. 0.916 0.014 0.916 0.916 0.916 0.951 === Confusion Matrix === a b c d e f g <-- classified as 414 5 1 0 20 21 3 | a = chest 3 400 15 1 7 13 25 | b = forearm 0 19 437 1 0 2 7 | c = head 0 5 1 453 5 1 0 | d = shin 8 3 0 3 446 4 0 | e = thigh 30 24 4 2 8 391 4 | f = upperarm 0 17 7 0 2 3 435 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2969 91.3538 % Incorrectly Classified Instances 281 8.6462 % Kappa statistic 0.8991 Mean absolute error 0.0247 Root mean squared error 0.1572 Relative absolute error 10.0872 % Root relative squared error 44.9159 % Total Number of Instances 3250 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.916 0.017 0.9 0.916 0.908 0.95 chest 0.828 0.025 0.846 0.828 0.837 0.901 forearm 0.925 0.011 0.931 0.925 0.928 0.957 head 0.972 0.003 0.983 0.972 0.977 0.985 shin 0.95 0.015 0.911 0.95 0.93 0.967 thigh 0.879 0.017 0.897 0.879 0.888 0.931 upperarm 0.925 0.012 0.927 0.925 0.926 0.956 waist Weighted Avg. 0.914 0.014 0.913 0.914 0.913 0.95 === Confusion Matrix === a b c d e f g <-- classified as 425 5 1 2 15 15 1 | a = chest 6 384 20 4 11 18 21 | b = forearm 2 18 431 0 0 5 10 | c = head 0 6 0 451 4 3 0 | d = shin 13 3 0 1 441 6 0 | e = thigh 25 15 3 1 10 408 2 | f = upperarm 1 23 8 0 3 0 429 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2961 91.1077 % Incorrectly Classified Instances 289 8.8923 % Kappa statistic 0.8963 Mean absolute error 0.0254 Root mean squared error 0.1594 Relative absolute error 10.3744 % Root relative squared error 45.5508 % Total Number of Instances 3250 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.912 0.016 0.906 0.912 0.909 0.948 chest 0.838 0.028 0.831 0.838 0.835 0.905 forearm 0.929 0.012 0.927 0.929 0.928 0.958 head 0.963 0.001 0.993 0.963 0.978 0.981 shin 0.94 0.014 0.918 0.94 0.929 0.963 thigh 0.851 0.017 0.892 0.851 0.871 0.917 upperarm 0.944 0.015 0.913 0.944 0.928 0.964 waist Weighted Avg. 0.911 0.015 0.911 0.911 0.911 0.948 === Confusion Matrix === a b c d e f g <-- classified as 423 5 1 1 14 18 2 | a = chest 7 389 22 0 5 13 28 | b = forearm 0 19 433 0 0 6 8 | c = head 0 7 0 447 7 1 2 | d = shin 10 6 1 1 436 9 1 | e = thigh 26 24 4 1 13 395 1 | f = upperarm 1 18 6 0 0 1 438 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2988 91.9385 % Incorrectly Classified Instances 262 8.0615 % Kappa statistic 0.9059 Mean absolute error 0.023 Root mean squared error 0.1518 Relative absolute error 9.4051 % Root relative squared error 43.3708 % Total Number of Instances 3250 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.901 0.014 0.915 0.901 0.908 0.943 chest 0.845 0.02 0.875 0.845 0.86 0.912 forearm 0.938 0.01 0.94 0.938 0.939 0.964 head 0.981 0.004 0.978 0.981 0.98 0.989 shin 0.935 0.01 0.937 0.935 0.936 0.962 thigh 0.881 0.023 0.867 0.881 0.874 0.929 upperarm 0.955 0.013 0.923 0.955 0.939 0.971 waist Weighted Avg. 0.919 0.013 0.919 0.919 0.919 0.953 === Confusion Matrix === a b c d e f g <-- classified as 418 4 1 0 12 29 0 | a = chest 3 392 21 3 3 18 24 | b = forearm 0 14 436 0 1 5 9 | c = head 0 3 0 455 4 1 1 | d = shin 9 7 1 3 434 10 0 | e = thigh 26 15 1 2 8 409 3 | f = upperarm 1 13 4 2 1 0 444 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 3 FOLD: 0 Correctly Classified Instances 2993 92.064 % Incorrectly Classified Instances 258 7.936 % Kappa statistic 0.9074 Mean absolute error 0.0227 Root mean squared error 0.1506 Relative absolute error 9.2587 % Root relative squared error 43.0318 % Total Number of Instances 3251 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.901 0.016 0.903 0.901 0.902 0.942 chest 0.875 0.018 0.892 0.875 0.884 0.929 forearm 0.942 0.01 0.942 0.942 0.942 0.966 head 0.978 0.003 0.981 0.978 0.98 0.988 shin 0.94 0.014 0.916 0.94 0.928 0.963 thigh 0.864 0.02 0.879 0.864 0.872 0.922 upperarm 0.944 0.012 0.93 0.944 0.937 0.966 waist Weighted Avg. 0.921 0.013 0.92 0.921 0.921 0.954 === Confusion Matrix === a b c d e f g <-- classified as 419 4 1 1 16 24 0 | a = chest 7 406 12 2 6 14 17 | b = forearm 1 12 438 0 1 3 10 | c = head 1 4 0 454 5 0 0 | d = shin 12 3 0 0 436 12 1 | e = thigh 23 13 6 4 12 401 5 | f = upperarm 1 13 8 2 0 2 439 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2970 91.3565 % Incorrectly Classified Instances 281 8.6435 % Kappa statistic 0.8992 Mean absolute error 0.0247 Root mean squared error 0.1571 Relative absolute error 10.0841 % Root relative squared error 44.909 % Total Number of Instances 3251 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.925 0.019 0.89 0.925 0.907 0.953 chest 0.83 0.02 0.871 0.83 0.85 0.905 forearm 0.931 0.005 0.969 0.931 0.95 0.963 head 0.963 0.003 0.985 0.963 0.974 0.98 shin 0.942 0.017 0.903 0.942 0.922 0.962 thigh 0.858 0.02 0.877 0.858 0.867 0.919 upperarm 0.946 0.017 0.903 0.946 0.924 0.965 waist Weighted Avg. 0.914 0.014 0.914 0.914 0.913 0.95 === Confusion Matrix === a b c d e f g <-- classified as 430 2 0 1 11 21 0 | a = chest 7 385 8 2 12 17 33 | b = forearm 1 16 434 0 0 6 9 | c = head 1 3 0 447 9 2 2 | d = shin 9 4 1 3 437 10 0 | e = thigh 32 15 1 1 14 398 3 | f = upperarm 3 17 4 0 1 0 439 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2976 91.5411 % Incorrectly Classified Instances 275 8.4589 % Kappa statistic 0.9013 Mean absolute error 0.0242 Root mean squared error 0.1555 Relative absolute error 9.8688 % Root relative squared error 44.4269 % Total Number of Instances 3251 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.912 0.02 0.881 0.912 0.896 0.946 chest 0.853 0.019 0.882 0.853 0.867 0.917 forearm 0.94 0.013 0.922 0.94 0.931 0.963 head 0.97 0.003 0.985 0.97 0.977 0.984 shin 0.929 0.011 0.935 0.929 0.932 0.959 thigh 0.866 0.02 0.878 0.866 0.872 0.923 upperarm 0.938 0.013 0.926 0.938 0.931 0.962 waist Weighted Avg. 0.915 0.014 0.915 0.915 0.915 0.951 === Confusion Matrix === a b c d e f g <-- classified as 424 3 0 0 18 19 1 | a = chest 4 396 20 0 4 14 26 | b = forearm 0 16 438 0 0 5 7 | c = head 1 6 0 450 4 3 0 | d = shin 16 1 0 4 431 12 0 | e = thigh 35 15 4 3 4 402 1 | f = upperarm 1 12 13 0 0 3 435 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2980 91.6641 % Incorrectly Classified Instances 271 8.3359 % Kappa statistic 0.9027 Mean absolute error 0.0238 Root mean squared error 0.1543 Relative absolute error 9.7252 % Root relative squared error 44.1026 % Total Number of Instances 3251 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.897 0.017 0.897 0.897 0.897 0.94 chest 0.894 0.025 0.857 0.894 0.875 0.935 forearm 0.925 0.01 0.939 0.925 0.932 0.957 head 0.972 0.001 0.991 0.972 0.982 0.985 shin 0.942 0.014 0.916 0.942 0.929 0.964 thigh 0.86 0.017 0.894 0.86 0.877 0.921 upperarm 0.927 0.013 0.925 0.927 0.926 0.957 waist Weighted Avg. 0.917 0.014 0.917 0.917 0.917 0.951 === Confusion Matrix === a b c d e f g <-- classified as 417 4 0 0 18 24 2 | a = chest 4 414 17 2 1 9 16 | b = forearm 0 16 431 0 1 5 13 | c = head 1 3 0 452 4 2 3 | d = shin 14 4 0 2 438 7 0 | e = thigh 27 20 1 0 16 398 1 | f = upperarm 2 22 10 0 0 0 430 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2975 91.5103 % Incorrectly Classified Instances 276 8.4897 % Kappa statistic 0.901 Mean absolute error 0.0243 Root mean squared error 0.1557 Relative absolute error 9.9046 % Root relative squared error 44.5076 % Total Number of Instances 3251 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.905 0.014 0.917 0.905 0.911 0.946 chest 0.832 0.02 0.875 0.832 0.853 0.906 forearm 0.931 0.011 0.933 0.931 0.932 0.96 head 0.966 0.005 0.972 0.966 0.969 0.98 shin 0.938 0.017 0.905 0.938 0.921 0.961 thigh 0.888 0.022 0.873 0.888 0.88 0.933 upperarm 0.946 0.012 0.93 0.946 0.938 0.967 waist Weighted Avg. 0.915 0.014 0.915 0.915 0.915 0.95 === Confusion Matrix === a b c d e f g <-- classified as 421 2 1 2 22 14 3 | a = chest 5 385 21 4 4 20 24 | b = forearm 1 22 434 0 0 5 4 | c = head 1 5 0 449 3 6 1 | d = shin 9 2 0 5 436 13 0 | e = thigh 21 12 2 2 14 411 1 | f = upperarm 1 12 7 0 3 2 439 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2972 91.4462 % Incorrectly Classified Instances 278 8.5538 % Kappa statistic 0.9002 Mean absolute error 0.0244 Root mean squared error 0.1563 Relative absolute error 9.9795 % Root relative squared error 44.6755 % Total Number of Instances 3250 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.918 0.017 0.899 0.918 0.908 0.95 chest 0.842 0.025 0.846 0.842 0.844 0.908 forearm 0.927 0.009 0.947 0.927 0.937 0.959 head 0.959 0.002 0.989 0.959 0.974 0.979 shin 0.933 0.011 0.933 0.933 0.933 0.961 thigh 0.866 0.019 0.885 0.866 0.876 0.924 upperarm 0.955 0.017 0.904 0.955 0.929 0.969 waist Weighted Avg. 0.914 0.014 0.915 0.914 0.914 0.95 === Confusion Matrix === a b c d e f g <-- classified as 426 3 0 0 16 18 1 | a = chest 4 390 15 1 3 16 34 | b = forearm 0 22 431 0 1 3 8 | c = head 2 5 1 446 5 5 1 | d = shin 13 5 0 2 434 10 1 | e = thigh 29 20 3 2 6 402 2 | f = upperarm 0 16 5 0 0 0 443 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2972 91.4462 % Incorrectly Classified Instances 278 8.5538 % Kappa statistic 0.9002 Mean absolute error 0.0244 Root mean squared error 0.1563 Relative absolute error 9.9795 % Root relative squared error 44.6755 % Total Number of Instances 3250 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.877 0.017 0.895 0.877 0.886 0.93 chest 0.849 0.019 0.881 0.849 0.865 0.915 forearm 0.938 0.012 0.93 0.938 0.934 0.963 head 0.961 0.003 0.982 0.961 0.972 0.979 shin 0.959 0.013 0.927 0.959 0.943 0.973 thigh 0.871 0.022 0.869 0.871 0.87 0.924 upperarm 0.946 0.014 0.917 0.946 0.931 0.966 waist Weighted Avg. 0.914 0.014 0.914 0.914 0.914 0.95 === Confusion Matrix === a b c d e f g <-- classified as 407 3 1 1 14 31 7 | a = chest 6 393 21 2 4 19 18 | b = forearm 0 14 436 0 0 4 11 | c = head 2 7 0 446 6 2 1 | d = shin 8 4 0 2 446 4 1 | e = thigh 30 12 4 3 9 404 2 | f = upperarm 2 13 7 0 2 1 440 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2986 91.8769 % Incorrectly Classified Instances 264 8.1231 % Kappa statistic 0.9052 Mean absolute error 0.0232 Root mean squared error 0.1523 Relative absolute error 9.4769 % Root relative squared error 43.536 % Total Number of Instances 3250 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.912 0.013 0.922 0.912 0.917 0.949 chest 0.868 0.027 0.843 0.868 0.855 0.921 forearm 0.935 0.009 0.946 0.935 0.941 0.963 head 0.961 0.003 0.982 0.961 0.972 0.979 shin 0.938 0.013 0.924 0.938 0.931 0.962 thigh 0.869 0.016 0.9 0.869 0.884 0.926 upperarm 0.948 0.014 0.919 0.948 0.933 0.967 waist Weighted Avg. 0.919 0.014 0.919 0.919 0.919 0.953 === Confusion Matrix === a b c d e f g <-- classified as 423 6 0 2 17 13 3 | a = chest 1 402 18 1 2 14 25 | b = forearm 0 17 435 0 0 5 8 | c = head 2 8 0 446 4 4 0 | d = shin 11 8 0 1 436 8 1 | e = thigh 21 22 2 2 12 403 2 | f = upperarm 1 14 5 2 1 1 441 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2976 91.5692 % Incorrectly Classified Instances 274 8.4308 % Kappa statistic 0.9016 Mean absolute error 0.0241 Root mean squared error 0.1552 Relative absolute error 9.8359 % Root relative squared error 44.3529 % Total Number of Instances 3250 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.92 0.014 0.914 0.92 0.917 0.953 chest 0.838 0.025 0.847 0.838 0.843 0.907 forearm 0.935 0.008 0.95 0.935 0.943 0.964 head 0.97 0.003 0.983 0.97 0.976 0.983 shin 0.946 0.014 0.92 0.946 0.933 0.966 thigh 0.856 0.022 0.869 0.856 0.862 0.917 upperarm 0.944 0.013 0.926 0.944 0.935 0.966 waist Weighted Avg. 0.916 0.014 0.916 0.916 0.916 0.951 === Confusion Matrix === a b c d e f g <-- classified as 427 4 0 0 11 20 2 | a = chest 5 389 15 4 11 15 25 | b = forearm 1 18 435 0 2 5 4 | c = head 0 6 1 450 2 5 0 | d = shin 8 1 0 1 439 13 2 | e = thigh 26 23 1 3 12 397 2 | f = upperarm 0 18 6 0 0 2 439 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2944 90.5846 % Incorrectly Classified Instances 306 9.4154 % Kappa statistic 0.8902 Mean absolute error 0.0269 Root mean squared error 0.164 Relative absolute error 10.9846 % Root relative squared error 46.8713 % Total Number of Instances 3250 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.884 0.018 0.891 0.884 0.887 0.933 chest 0.821 0.024 0.849 0.821 0.835 0.898 forearm 0.933 0.013 0.925 0.933 0.929 0.96 head 0.972 0.002 0.989 0.972 0.98 0.985 shin 0.94 0.015 0.912 0.94 0.926 0.962 thigh 0.845 0.024 0.854 0.845 0.849 0.91 upperarm 0.946 0.014 0.919 0.946 0.932 0.966 waist Weighted Avg. 0.906 0.016 0.906 0.906 0.906 0.945 === Confusion Matrix === a b c d e f g <-- classified as 410 8 1 1 16 27 1 | a = chest 5 381 19 0 4 27 28 | b = forearm 1 20 434 0 0 3 7 | c = head 2 2 0 451 7 1 1 | d = shin 13 4 1 2 436 8 0 | e = thigh 28 23 4 1 14 392 2 | f = upperarm 1 11 10 1 1 1 440 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 4 FOLD: 0 Correctly Classified Instances 3008 92.5254 % Incorrectly Classified Instances 243 7.4746 % Kappa statistic 0.9128 Mean absolute error 0.0214 Root mean squared error 0.1461 Relative absolute error 8.7204 % Root relative squared error 41.7622 % Total Number of Instances 3251 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.905 0.011 0.933 0.905 0.919 0.947 chest 0.853 0.021 0.872 0.853 0.863 0.916 forearm 0.951 0.013 0.927 0.951 0.938 0.969 head 0.981 0.003 0.985 0.981 0.983 0.989 shin 0.961 0.011 0.937 0.961 0.949 0.975 thigh 0.89 0.016 0.902 0.89 0.896 0.937 upperarm 0.935 0.014 0.919 0.935 0.927 0.961 waist Weighted Avg. 0.925 0.012 0.925 0.925 0.925 0.956 === Confusion Matrix === a b c d e f g <-- classified as 420 9 1 0 15 17 2 | a = chest 1 396 18 3 4 16 26 | b = forearm 0 12 442 0 0 3 8 | c = head 0 3 1 456 3 2 0 | d = shin 6 3 1 1 447 6 1 | e = thigh 21 14 4 3 8 413 1 | f = upperarm 2 17 10 0 0 1 434 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2962 91.1104 % Incorrectly Classified Instances 289 8.8896 % Kappa statistic 0.8963 Mean absolute error 0.0254 Root mean squared error 0.1594 Relative absolute error 10.3712 % Root relative squared error 45.5438 % Total Number of Instances 3251 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.903 0.015 0.907 0.903 0.905 0.944 chest 0.847 0.026 0.845 0.847 0.846 0.911 forearm 0.929 0.011 0.931 0.929 0.93 0.959 head 0.957 0.003 0.985 0.957 0.971 0.977 shin 0.946 0.014 0.919 0.946 0.932 0.966 thigh 0.86 0.02 0.879 0.86 0.869 0.92 upperarm 0.935 0.015 0.914 0.935 0.924 0.96 waist Weighted Avg. 0.911 0.015 0.911 0.911 0.911 0.948 === Confusion Matrix === a b c d e f g <-- classified as 419 3 0 2 12 25 3 | a = chest 5 393 15 3 5 15 28 | b = forearm 1 21 432 0 1 4 6 | c = head 0 4 0 445 10 4 2 | d = shin 11 5 1 1 440 6 1 | e = thigh 25 21 8 0 10 399 1 | f = upperarm 1 18 8 1 1 1 434 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2975 91.5103 % Incorrectly Classified Instances 276 8.4897 % Kappa statistic 0.901 Mean absolute error 0.0243 Root mean squared error 0.1557 Relative absolute error 9.9046 % Root relative squared error 44.5076 % Total Number of Instances 3251 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.916 0.016 0.906 0.916 0.911 0.95 chest 0.825 0.02 0.872 0.825 0.848 0.903 forearm 0.938 0.011 0.932 0.938 0.935 0.963 head 0.961 0.004 0.974 0.961 0.967 0.978 shin 0.94 0.016 0.909 0.94 0.924 0.962 thigh 0.869 0.019 0.882 0.869 0.875 0.925 upperarm 0.957 0.012 0.929 0.957 0.943 0.972 waist Weighted Avg. 0.915 0.014 0.915 0.915 0.915 0.95 === Confusion Matrix === a b c d e f g <-- classified as 425 1 0 1 18 17 2 | a = chest 0 383 24 7 6 21 23 | b = forearm 0 19 436 0 1 5 4 | c = head 1 6 0 446 5 3 3 | d = shin 17 1 0 2 437 8 0 | e = thigh 25 16 3 1 14 403 2 | f = upperarm 1 13 5 1 0 0 445 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2975 91.5103 % Incorrectly Classified Instances 276 8.4897 % Kappa statistic 0.901 Mean absolute error 0.0243 Root mean squared error 0.1557 Relative absolute error 9.9046 % Root relative squared error 44.5076 % Total Number of Instances 3251 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.899 0.013 0.921 0.899 0.909 0.943 chest 0.834 0.022 0.862 0.834 0.848 0.906 forearm 0.944 0.009 0.948 0.944 0.946 0.968 head 0.959 0.002 0.987 0.959 0.973 0.978 shin 0.938 0.015 0.914 0.938 0.926 0.961 thigh 0.884 0.02 0.878 0.884 0.881 0.932 upperarm 0.948 0.018 0.898 0.948 0.923 0.965 waist Weighted Avg. 0.915 0.014 0.915 0.915 0.915 0.95 === Confusion Matrix === a b c d e f g <-- classified as 417 4 2 1 14 25 1 | a = chest 4 387 18 1 5 14 35 | b = forearm 0 11 439 0 0 4 11 | c = head 2 5 0 445 11 0 1 | d = shin 10 4 0 3 436 11 1 | e = thigh 19 23 1 0 10 410 1 | f = upperarm 1 15 3 1 1 3 441 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2965 91.2027 % Incorrectly Classified Instances 286 8.7973 % Kappa statistic 0.8974 Mean absolute error 0.0251 Root mean squared error 0.1585 Relative absolute error 10.2635 % Root relative squared error 45.3068 % Total Number of Instances 3251 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.903 0.018 0.894 0.903 0.898 0.943 chest 0.842 0.02 0.872 0.842 0.857 0.911 forearm 0.935 0.01 0.942 0.935 0.939 0.963 head 0.972 0.001 0.993 0.972 0.983 0.985 shin 0.918 0.019 0.89 0.918 0.904 0.95 thigh 0.864 0.021 0.872 0.864 0.868 0.922 upperarm 0.948 0.013 0.923 0.948 0.935 0.968 waist Weighted Avg. 0.912 0.015 0.912 0.912 0.912 0.949 === Confusion Matrix === a b c d e f g <-- classified as 420 9 1 0 16 18 1 | a = chest 4 390 16 1 9 21 22 | b = forearm 0 18 435 0 1 3 8 | c = head 0 3 0 451 6 3 1 | d = shin 20 4 0 1 427 12 1 | e = thigh 24 14 2 1 18 401 4 | f = upperarm 2 9 8 0 3 2 441 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2982 91.7538 % Incorrectly Classified Instances 268 8.2462 % Kappa statistic 0.9038 Mean absolute error 0.0236 Root mean squared error 0.1535 Relative absolute error 9.6205 % Root relative squared error 43.8646 % Total Number of Instances 3250 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.897 0.016 0.903 0.897 0.9 0.94 chest 0.87 0.023 0.863 0.87 0.867 0.924 forearm 0.951 0.009 0.947 0.951 0.949 0.971 head 0.97 0.003 0.985 0.97 0.977 0.984 shin 0.955 0.014 0.921 0.955 0.938 0.971 thigh 0.832 0.018 0.887 0.832 0.858 0.907 upperarm 0.948 0.014 0.917 0.948 0.932 0.967 waist Weighted Avg. 0.918 0.014 0.917 0.918 0.917 0.952 === Confusion Matrix === a b c d e f g <-- classified as 417 4 1 0 12 29 2 | a = chest 5 403 15 4 4 8 24 | b = forearm 0 11 443 0 1 4 7 | c = head 0 8 1 450 5 0 0 | d = shin 10 2 0 0 443 8 1 | e = thigh 28 26 2 2 14 385 6 | f = upperarm 2 13 6 1 2 0 441 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2985 91.8462 % Incorrectly Classified Instances 265 8.1538 % Kappa statistic 0.9049 Mean absolute error 0.0233 Root mean squared error 0.1526 Relative absolute error 9.5128 % Root relative squared error 43.6184 % Total Number of Instances 3250 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.89 0.015 0.908 0.89 0.899 0.938 chest 0.849 0.02 0.873 0.849 0.861 0.914 forearm 0.94 0.014 0.92 0.94 0.93 0.963 head 0.987 0.003 0.981 0.987 0.984 0.992 shin 0.938 0.011 0.931 0.938 0.934 0.963 thigh 0.879 0.02 0.879 0.879 0.879 0.929 upperarm 0.946 0.011 0.934 0.946 0.94 0.968 waist Weighted Avg. 0.918 0.014 0.918 0.918 0.918 0.952 === Confusion Matrix === a b c d e f g <-- classified as 414 9 1 2 13 26 0 | a = chest 6 393 21 1 6 14 22 | b = forearm 2 12 438 1 1 5 7 | c = head 0 3 2 458 1 0 0 | d = shin 8 9 0 1 435 10 1 | e = thigh 26 11 4 3 11 407 1 | f = upperarm 0 13 10 1 0 1 440 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3008 92.5538 % Incorrectly Classified Instances 242 7.4462 % Kappa statistic 0.9131 Mean absolute error 0.0213 Root mean squared error 0.1459 Relative absolute error 8.6872 % Root relative squared error 41.6826 % Total Number of Instances 3250 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.905 0.013 0.919 0.905 0.912 0.946 chest 0.87 0.019 0.886 0.87 0.878 0.926 forearm 0.94 0.012 0.928 0.94 0.934 0.964 head 0.974 0.004 0.978 0.974 0.976 0.985 shin 0.953 0.015 0.915 0.953 0.933 0.969 thigh 0.877 0.012 0.925 0.877 0.9 0.933 upperarm 0.959 0.013 0.927 0.959 0.943 0.973 waist Weighted Avg. 0.926 0.012 0.926 0.926 0.925 0.957 === Confusion Matrix === a b c d e f g <-- classified as 421 1 0 1 24 14 4 | a = chest 7 403 18 0 3 11 21 | b = forearm 0 18 438 0 0 2 8 | c = head 1 6 1 452 3 1 0 | d = shin 10 2 0 5 442 5 0 | e = thigh 19 17 4 4 11 407 2 | f = upperarm 0 8 11 0 0 0 445 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2966 91.2615 % Incorrectly Classified Instances 284 8.7385 % Kappa statistic 0.8981 Mean absolute error 0.025 Root mean squared error 0.158 Relative absolute error 10.1949 % Root relative squared error 45.155 % Total Number of Instances 3250 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.901 0.017 0.897 0.901 0.899 0.942 chest 0.875 0.022 0.867 0.875 0.871 0.926 forearm 0.903 0.006 0.961 0.903 0.931 0.949 head 0.955 0.002 0.989 0.955 0.971 0.976 shin 0.933 0.019 0.891 0.933 0.912 0.957 thigh 0.871 0.022 0.867 0.871 0.869 0.924 upperarm 0.95 0.013 0.923 0.95 0.936 0.969 waist Weighted Avg. 0.913 0.015 0.914 0.913 0.913 0.949 === Confusion Matrix === a b c d e f g <-- classified as 419 3 0 0 18 24 1 | a = chest 3 405 9 2 11 12 21 | b = forearm 0 26 421 0 0 7 12 | c = head 1 7 0 443 6 6 1 | d = shin 13 5 0 2 433 11 0 | e = thigh 31 7 3 0 17 404 2 | f = upperarm 0 14 5 1 1 2 441 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2955 90.9231 % Incorrectly Classified Instances 295 9.0769 % Kappa statistic 0.8941 Mean absolute error 0.0259 Root mean squared error 0.161 Relative absolute error 10.5897 % Root relative squared error 46.0212 % Total Number of Instances 3250 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.905 0.018 0.892 0.905 0.898 0.943 chest 0.871 0.029 0.835 0.871 0.852 0.921 forearm 0.938 0.01 0.938 0.938 0.938 0.964 head 0.966 0.001 0.993 0.966 0.979 0.982 shin 0.957 0.017 0.902 0.957 0.929 0.97 thigh 0.8 0.015 0.898 0.8 0.846 0.892 upperarm 0.929 0.015 0.911 0.929 0.92 0.957 waist Weighted Avg. 0.909 0.015 0.91 0.909 0.909 0.947 === Confusion Matrix === a b c d e f g <-- classified as 420 1 0 1 22 19 1 | a = chest 5 404 15 0 3 12 25 | b = forearm 1 14 436 0 1 3 10 | c = head 2 8 0 449 3 3 0 | d = shin 8 5 1 1 444 5 0 | e = thigh 34 32 3 1 17 371 6 | f = upperarm 1 20 10 0 2 0 431 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 5 FOLD: 0 Correctly Classified Instances 2962 91.1104 % Incorrectly Classified Instances 289 8.8896 % Kappa statistic 0.8963 Mean absolute error 0.0254 Root mean squared error 0.1594 Relative absolute error 10.3712 % Root relative squared error 45.5438 % Total Number of Instances 3251 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.888 0.015 0.91 0.888 0.899 0.937 chest 0.847 0.028 0.836 0.847 0.841 0.91 forearm 0.923 0.011 0.933 0.923 0.928 0.956 head 0.961 0.003 0.98 0.961 0.971 0.979 shin 0.961 0.018 0.901 0.961 0.93 0.972 thigh 0.858 0.015 0.902 0.858 0.88 0.921 upperarm 0.94 0.014 0.918 0.94 0.929 0.963 waist Weighted Avg. 0.911 0.015 0.911 0.911 0.911 0.948 === Confusion Matrix === a b c d e f g <-- classified as 413 7 1 2 21 21 0 | a = chest 2 392 22 1 7 13 26 | b = forearm 0 22 429 0 2 3 9 | c = head 2 5 0 447 7 2 2 | d = shin 9 3 0 1 446 4 1 | e = thigh 28 18 2 5 12 398 1 | f = upperarm 0 22 6 0 0 0 437 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2973 91.4488 % Incorrectly Classified Instances 278 8.5512 % Kappa statistic 0.9002 Mean absolute error 0.0244 Root mean squared error 0.1563 Relative absolute error 9.9764 % Root relative squared error 44.6686 % Total Number of Instances 3251 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.866 0.015 0.903 0.866 0.884 0.925 chest 0.868 0.019 0.884 0.868 0.876 0.925 forearm 0.921 0.006 0.96 0.921 0.94 0.957 head 0.97 0.002 0.987 0.97 0.978 0.984 shin 0.944 0.018 0.899 0.944 0.921 0.963 thigh 0.877 0.023 0.864 0.877 0.871 0.927 upperarm 0.955 0.016 0.908 0.955 0.931 0.969 waist Weighted Avg. 0.914 0.014 0.915 0.914 0.914 0.95 === Confusion Matrix === a b c d e f g <-- classified as 402 4 0 0 23 31 4 | a = chest 5 402 10 2 6 10 28 | b = forearm 0 19 429 0 0 8 10 | c = head 2 2 0 451 6 2 2 | d = shin 8 4 1 2 438 11 0 | e = thigh 28 12 2 1 13 407 1 | f = upperarm 0 12 5 1 1 2 444 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2956 90.9259 % Incorrectly Classified Instances 295 9.0741 % Kappa statistic 0.8941 Mean absolute error 0.0259 Root mean squared error 0.161 Relative absolute error 10.5865 % Root relative squared error 46.0141 % Total Number of Instances 3251 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.897 0.017 0.897 0.897 0.897 0.94 chest 0.838 0.024 0.853 0.838 0.845 0.907 forearm 0.936 0.013 0.926 0.936 0.931 0.962 head 0.97 0.003 0.983 0.97 0.976 0.984 shin 0.922 0.012 0.926 0.922 0.924 0.955 thigh 0.86 0.019 0.881 0.86 0.87 0.92 upperarm 0.942 0.018 0.899 0.942 0.92 0.962 waist Weighted Avg. 0.909 0.015 0.909 0.909 0.909 0.947 === Confusion Matrix === a b c d e f g <-- classified as 416 4 2 0 14 23 5 | a = chest 1 388 20 1 5 16 32 | b = forearm 0 17 436 0 1 4 8 | c = head 2 4 1 451 4 3 0 | d = shin 19 5 1 4 428 7 0 | e = thigh 23 20 5 3 10 399 4 | f = upperarm 3 17 6 0 0 1 438 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2994 92.0947 % Incorrectly Classified Instances 257 7.9053 % Kappa statistic 0.9078 Mean absolute error 0.0226 Root mean squared error 0.1503 Relative absolute error 9.2228 % Root relative squared error 42.9484 % Total Number of Instances 3251 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.916 0.011 0.934 0.916 0.925 0.953 chest 0.873 0.021 0.873 0.873 0.873 0.926 forearm 0.925 0.011 0.931 0.925 0.928 0.957 head 0.974 0.003 0.98 0.974 0.977 0.985 shin 0.946 0.013 0.924 0.946 0.935 0.967 thigh 0.86 0.019 0.883 0.86 0.871 0.92 upperarm 0.953 0.014 0.921 0.953 0.937 0.97 waist Weighted Avg. 0.921 0.013 0.921 0.921 0.921 0.954 === Confusion Matrix === a b c d e f g <-- classified as 425 1 1 0 18 17 2 | a = chest 2 404 17 3 6 15 16 | b = forearm 1 15 431 1 1 5 12 | c = head 0 2 0 452 4 5 1 | d = shin 6 3 0 0 440 11 5 | e = thigh 21 28 4 3 7 399 2 | f = upperarm 0 10 10 2 0 0 443 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2982 91.7256 % Incorrectly Classified Instances 269 8.2744 % Kappa statistic 0.9035 Mean absolute error 0.0236 Root mean squared error 0.1538 Relative absolute error 9.6534 % Root relative squared error 43.9396 % Total Number of Instances 3251 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.914 0.014 0.916 0.914 0.915 0.95 chest 0.851 0.023 0.86 0.851 0.856 0.914 forearm 0.94 0.009 0.944 0.94 0.942 0.965 head 0.972 0.003 0.983 0.972 0.977 0.985 shin 0.938 0.014 0.92 0.938 0.929 0.962 thigh 0.866 0.019 0.885 0.866 0.876 0.924 upperarm 0.94 0.015 0.912 0.94 0.926 0.962 waist Weighted Avg. 0.917 0.014 0.917 0.917 0.917 0.952 === Confusion Matrix === a b c d e f g <-- classified as 424 3 1 1 12 23 0 | a = chest 3 394 14 2 5 13 32 | b = forearm 1 17 438 0 0 2 8 | c = head 0 4 0 451 7 2 0 | d = shin 8 6 0 3 436 11 1 | e = thigh 27 19 2 1 12 402 1 | f = upperarm 0 15 9 1 2 1 437 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2989 91.9692 % Incorrectly Classified Instances 261 8.0308 % Kappa statistic 0.9063 Mean absolute error 0.0229 Root mean squared error 0.1515 Relative absolute error 9.3692 % Root relative squared error 43.2879 % Total Number of Instances 3250 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.927 0.016 0.907 0.927 0.917 0.955 chest 0.849 0.023 0.858 0.849 0.854 0.913 forearm 0.951 0.01 0.938 0.951 0.944 0.97 head 0.966 0.001 0.991 0.966 0.978 0.982 shin 0.942 0.015 0.911 0.942 0.926 0.963 thigh 0.866 0.014 0.91 0.866 0.887 0.926 upperarm 0.938 0.013 0.924 0.938 0.93 0.962 waist Weighted Avg. 0.92 0.013 0.92 0.92 0.92 0.953 === Confusion Matrix === a b c d e f g <-- classified as 430 3 2 0 15 13 1 | a = chest 5 394 17 0 6 18 24 | b = forearm 1 13 442 0 0 2 7 | c = head 1 7 1 448 5 0 2 | d = shin 14 2 0 3 438 7 1 | e = thigh 23 19 3 1 15 402 1 | f = upperarm 0 21 6 0 2 0 435 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2969 91.3538 % Incorrectly Classified Instances 281 8.6462 % Kappa statistic 0.8991 Mean absolute error 0.0247 Root mean squared error 0.1572 Relative absolute error 10.0872 % Root relative squared error 44.9159 % Total Number of Instances 3250 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.912 0.017 0.9 0.912 0.906 0.947 chest 0.847 0.024 0.852 0.847 0.85 0.911 forearm 0.918 0.01 0.936 0.918 0.927 0.954 head 0.968 0.003 0.982 0.968 0.975 0.982 shin 0.955 0.011 0.933 0.955 0.944 0.972 thigh 0.857 0.019 0.884 0.857 0.871 0.919 upperarm 0.938 0.016 0.906 0.938 0.922 0.961 waist Weighted Avg. 0.914 0.014 0.914 0.914 0.913 0.95 === Confusion Matrix === a b c d e f g <-- classified as 424 1 0 0 14 22 4 | a = chest 6 393 20 4 1 14 26 | b = forearm 0 22 427 0 1 4 11 | c = head 0 7 1 449 3 2 2 | d = shin 10 4 0 1 444 6 0 | e = thigh 30 18 1 3 12 397 2 | f = upperarm 1 16 7 0 1 4 435 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2987 91.9077 % Incorrectly Classified Instances 263 8.0923 % Kappa statistic 0.9056 Mean absolute error 0.0231 Root mean squared error 0.1521 Relative absolute error 9.441 % Root relative squared error 43.4535 % Total Number of Instances 3250 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.925 0.019 0.892 0.925 0.908 0.953 chest 0.851 0.024 0.855 0.851 0.853 0.914 forearm 0.938 0.008 0.952 0.938 0.945 0.965 head 0.959 0.003 0.982 0.959 0.971 0.978 shin 0.933 0.009 0.943 0.933 0.938 0.962 thigh 0.873 0.018 0.892 0.873 0.882 0.927 upperarm 0.955 0.014 0.919 0.955 0.937 0.97 waist Weighted Avg. 0.919 0.013 0.919 0.919 0.919 0.953 === Confusion Matrix === a b c d e f g <-- classified as 430 4 0 3 13 13 2 | a = chest 6 395 12 2 5 18 26 | b = forearm 0 17 436 0 0 5 7 | c = head 0 12 0 445 4 2 1 | d = shin 12 8 0 1 434 10 0 | e = thigh 33 16 2 1 4 404 3 | f = upperarm 1 10 8 1 0 1 443 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2963 91.1692 % Incorrectly Classified Instances 287 8.8308 % Kappa statistic 0.897 Mean absolute error 0.0252 Root mean squared error 0.1588 Relative absolute error 10.3026 % Root relative squared error 45.3929 % Total Number of Instances 3250 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.89 0.014 0.914 0.89 0.902 0.938 chest 0.836 0.018 0.886 0.836 0.86 0.909 forearm 0.94 0.012 0.928 0.94 0.934 0.964 head 0.974 0.004 0.978 0.974 0.976 0.985 shin 0.938 0.017 0.904 0.938 0.921 0.96 thigh 0.845 0.019 0.881 0.845 0.862 0.913 upperarm 0.959 0.02 0.89 0.959 0.923 0.97 waist Weighted Avg. 0.912 0.015 0.912 0.912 0.911 0.948 === Confusion Matrix === a b c d e f g <-- classified as 414 4 3 3 13 23 5 | a = chest 8 388 19 2 5 16 26 | b = forearm 1 13 437 0 1 4 9 | c = head 0 2 0 452 4 2 4 | d = shin 11 4 1 4 435 7 2 | e = thigh 19 18 3 1 22 392 9 | f = upperarm 0 9 8 0 1 1 445 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2968 91.3231 % Incorrectly Classified Instances 282 8.6769 % Kappa statistic 0.8988 Mean absolute error 0.0248 Root mean squared error 0.1575 Relative absolute error 10.1231 % Root relative squared error 44.9957 % Total Number of Instances 3250 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.916 0.013 0.922 0.916 0.919 0.952 chest 0.843 0.028 0.834 0.843 0.838 0.907 forearm 0.94 0.009 0.944 0.94 0.942 0.965 head 0.968 0.004 0.976 0.968 0.972 0.982 shin 0.94 0.013 0.924 0.94 0.932 0.963 thigh 0.847 0.017 0.895 0.847 0.87 0.915 upperarm 0.94 0.018 0.899 0.94 0.919 0.961 waist Weighted Avg. 0.913 0.014 0.913 0.913 0.913 0.949 === Confusion Matrix === a b c d e f g <-- classified as 426 8 0 1 12 15 3 | a = chest 4 391 14 3 5 18 29 | b = forearm 0 17 437 0 0 1 10 | c = head 0 8 0 449 4 1 2 | d = shin 8 5 0 4 436 10 1 | e = thigh 24 21 6 2 14 393 4 | f = upperarm 0 19 6 1 1 1 436 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 6 FOLD: 0 Correctly Classified Instances 2986 91.8487 % Incorrectly Classified Instances 265 8.1513 % Kappa statistic 0.9049 Mean absolute error 0.0233 Root mean squared error 0.1526 Relative absolute error 9.5099 % Root relative squared error 43.6117 % Total Number of Instances 3251 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.907 0.014 0.917 0.907 0.912 0.947 chest 0.832 0.02 0.873 0.832 0.852 0.906 forearm 0.955 0.01 0.939 0.955 0.947 0.972 head 0.974 0.001 0.991 0.974 0.983 0.986 shin 0.951 0.018 0.9 0.951 0.925 0.966 thigh 0.869 0.022 0.869 0.869 0.869 0.923 upperarm 0.942 0.01 0.94 0.942 0.941 0.966 waist Weighted Avg. 0.918 0.014 0.918 0.918 0.918 0.952 === Confusion Matrix === a b c d e f g <-- classified as 421 4 0 1 15 23 0 | a = chest 4 385 18 0 10 24 22 | b = forearm 0 13 444 0 1 3 4 | c = head 1 3 1 453 3 3 1 | d = shin 11 1 0 2 442 8 1 | e = thigh 21 22 3 1 14 403 0 | f = upperarm 1 13 7 0 6 0 438 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2982 91.7256 % Incorrectly Classified Instances 269 8.2744 % Kappa statistic 0.9035 Mean absolute error 0.0236 Root mean squared error 0.1538 Relative absolute error 9.6534 % Root relative squared error 43.9396 % Total Number of Instances 3251 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.929 0.014 0.919 0.929 0.924 0.958 chest 0.86 0.025 0.849 0.86 0.854 0.917 forearm 0.929 0.01 0.941 0.929 0.935 0.96 head 0.97 0.004 0.976 0.97 0.973 0.983 shin 0.938 0.013 0.924 0.938 0.931 0.962 thigh 0.853 0.015 0.906 0.853 0.879 0.919 upperarm 0.942 0.016 0.907 0.942 0.924 0.963 waist Weighted Avg. 0.917 0.014 0.917 0.917 0.917 0.952 === Confusion Matrix === a b c d e f g <-- classified as 431 5 1 0 9 15 3 | a = chest 4 398 14 4 4 15 24 | b = forearm 1 14 432 0 0 4 14 | c = head 1 6 1 451 3 2 1 | d = shin 13 5 0 5 436 5 1 | e = thigh 18 22 4 2 20 396 2 | f = upperarm 1 19 7 0 0 0 438 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2965 91.2027 % Incorrectly Classified Instances 286 8.7973 % Kappa statistic 0.8974 Mean absolute error 0.0251 Root mean squared error 0.1585 Relative absolute error 10.2635 % Root relative squared error 45.3068 % Total Number of Instances 3251 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.89 0.018 0.89 0.89 0.89 0.936 chest 0.86 0.024 0.856 0.86 0.858 0.918 forearm 0.931 0.013 0.925 0.931 0.928 0.959 head 0.976 0.002 0.987 0.976 0.982 0.987 shin 0.929 0.014 0.919 0.929 0.924 0.958 thigh 0.869 0.02 0.878 0.869 0.873 0.924 upperarm 0.929 0.012 0.929 0.929 0.929 0.959 waist Weighted Avg. 0.912 0.015 0.912 0.912 0.912 0.949 === Confusion Matrix === a b c d e f g <-- classified as 414 6 2 1 18 23 1 | a = chest 3 399 19 1 6 15 21 | b = forearm 1 19 433 0 0 4 8 | c = head 1 6 0 453 1 2 1 | d = shin 16 5 1 1 432 10 0 | e = thigh 29 12 4 2 12 403 2 | f = upperarm 1 19 9 1 1 2 431 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2940 90.4337 % Incorrectly Classified Instances 311 9.5663 % Kappa statistic 0.8884 Mean absolute error 0.0273 Root mean squared error 0.1653 Relative absolute error 11.1607 % Root relative squared error 47.2455 % Total Number of Instances 3251 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.903 0.018 0.896 0.903 0.899 0.943 chest 0.802 0.024 0.847 0.802 0.824 0.889 forearm 0.935 0.014 0.916 0.935 0.926 0.961 head 0.963 0.004 0.976 0.963 0.97 0.98 shin 0.944 0.017 0.901 0.944 0.922 0.963 thigh 0.843 0.02 0.875 0.843 0.858 0.911 upperarm 0.94 0.014 0.916 0.94 0.928 0.963 waist Weighted Avg. 0.904 0.016 0.904 0.904 0.904 0.944 === Confusion Matrix === a b c d e f g <-- classified as 420 7 1 3 16 16 2 | a = chest 6 372 26 3 11 20 26 | b = forearm 1 14 435 0 2 4 9 | c = head 1 7 0 447 4 5 0 | d = shin 13 2 1 2 439 8 0 | e = thigh 27 24 4 2 13 391 3 | f = upperarm 1 13 8 1 2 3 436 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3000 92.2793 % Incorrectly Classified Instances 251 7.7207 % Kappa statistic 0.9099 Mean absolute error 0.0221 Root mean squared error 0.1485 Relative absolute error 9.0075 % Root relative squared error 42.444 % Total Number of Instances 3251 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.905 0.011 0.933 0.905 0.919 0.947 chest 0.851 0.019 0.88 0.851 0.865 0.916 forearm 0.942 0.01 0.942 0.942 0.942 0.966 head 0.968 0.005 0.97 0.968 0.969 0.981 shin 0.957 0.011 0.935 0.957 0.946 0.973 thigh 0.886 0.016 0.901 0.886 0.893 0.935 upperarm 0.95 0.018 0.898 0.95 0.924 0.966 waist Weighted Avg. 0.923 0.013 0.923 0.923 0.923 0.955 === Confusion Matrix === a b c d e f g <-- classified as 421 4 1 2 11 24 2 | a = chest 2 395 17 3 1 10 36 | b = forearm 0 15 438 0 2 2 8 | c = head 1 1 1 449 8 2 2 | d = shin 9 3 1 1 445 6 0 | e = thigh 18 15 5 6 7 411 2 | f = upperarm 0 16 2 2 2 1 441 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2958 91.0154 % Incorrectly Classified Instances 292 8.9846 % Kappa statistic 0.8952 Mean absolute error 0.0257 Root mean squared error 0.1602 Relative absolute error 10.4821 % Root relative squared error 45.7866 % Total Number of Instances 3250 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.884 0.014 0.911 0.884 0.897 0.935 chest 0.838 0.025 0.846 0.838 0.842 0.906 forearm 0.918 0.01 0.939 0.918 0.928 0.954 head 0.961 0.001 0.993 0.961 0.977 0.98 shin 0.938 0.017 0.901 0.938 0.919 0.96 thigh 0.881 0.021 0.874 0.881 0.877 0.93 upperarm 0.95 0.015 0.911 0.95 0.93 0.967 waist Weighted Avg. 0.91 0.015 0.911 0.91 0.91 0.948 === Confusion Matrix === a b c d e f g <-- classified as 411 2 0 0 27 23 2 | a = chest 6 389 14 0 7 16 32 | b = forearm 0 26 428 0 0 6 6 | c = head 1 10 0 446 2 3 2 | d = shin 9 7 0 2 435 11 0 | e = thigh 24 14 3 1 12 408 1 | f = upperarm 0 12 11 0 0 0 441 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2971 91.4154 % Incorrectly Classified Instances 279 8.5846 % Kappa statistic 0.8998 Mean absolute error 0.0245 Root mean squared error 0.1566 Relative absolute error 10.0154 % Root relative squared error 44.7558 % Total Number of Instances 3250 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.91 0.018 0.892 0.91 0.901 0.946 chest 0.864 0.023 0.861 0.864 0.862 0.92 forearm 0.936 0.011 0.934 0.936 0.935 0.962 head 0.968 0.003 0.985 0.968 0.976 0.983 shin 0.942 0.014 0.92 0.942 0.931 0.964 thigh 0.834 0.017 0.894 0.834 0.863 0.909 upperarm 0.946 0.015 0.915 0.946 0.93 0.966 waist Weighted Avg. 0.914 0.014 0.914 0.914 0.914 0.95 === Confusion Matrix === a b c d e f g <-- classified as 423 2 1 1 14 21 3 | a = chest 5 401 18 0 3 14 23 | b = forearm 1 17 436 0 0 2 10 | c = head 1 4 0 449 7 2 1 | d = shin 11 6 0 2 437 6 2 | e = thigh 33 23 4 3 12 386 2 | f = upperarm 0 13 8 1 2 1 439 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2957 90.9846 % Incorrectly Classified Instances 293 9.0154 % Kappa statistic 0.8948 Mean absolute error 0.0258 Root mean squared error 0.1605 Relative absolute error 10.518 % Root relative squared error 45.8649 % Total Number of Instances 3250 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.907 0.016 0.903 0.907 0.905 0.946 chest 0.823 0.025 0.843 0.823 0.833 0.899 forearm 0.938 0.012 0.93 0.938 0.934 0.963 head 0.97 0.004 0.974 0.97 0.972 0.983 shin 0.957 0.017 0.906 0.957 0.931 0.97 thigh 0.823 0.015 0.899 0.823 0.859 0.904 upperarm 0.951 0.015 0.911 0.951 0.931 0.968 waist Weighted Avg. 0.91 0.015 0.91 0.91 0.909 0.947 === Confusion Matrix === a b c d e f g <-- classified as 421 4 0 0 18 20 1 | a = chest 6 381 21 6 5 12 32 | b = forearm 0 20 437 0 0 2 7 | c = head 0 5 1 450 7 1 0 | d = shin 5 5 0 2 444 7 1 | e = thigh 34 26 3 2 15 382 2 | f = upperarm 0 11 8 2 1 1 442 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2999 92.2769 % Incorrectly Classified Instances 251 7.7231 % Kappa statistic 0.9099 Mean absolute error 0.0221 Root mean squared error 0.1485 Relative absolute error 9.0103 % Root relative squared error 42.4506 % Total Number of Instances 3250 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.899 0.013 0.921 0.899 0.909 0.943 chest 0.888 0.02 0.882 0.888 0.885 0.934 forearm 0.929 0.009 0.943 0.929 0.936 0.96 head 0.97 0.005 0.97 0.97 0.97 0.982 shin 0.955 0.016 0.908 0.955 0.931 0.969 thigh 0.873 0.016 0.9 0.873 0.886 0.928 upperarm 0.946 0.011 0.936 0.946 0.941 0.968 waist Weighted Avg. 0.923 0.013 0.923 0.923 0.923 0.955 === Confusion Matrix === a b c d e f g <-- classified as 417 6 0 3 17 19 2 | a = chest 2 411 13 5 6 12 14 | b = forearm 0 18 433 0 2 6 7 | c = head 1 4 0 450 8 0 1 | d = shin 8 2 0 2 443 8 1 | e = thigh 25 12 3 3 11 405 5 | f = upperarm 0 13 10 1 1 0 440 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2977 91.6 % Incorrectly Classified Instances 273 8.4 % Kappa statistic 0.902 Mean absolute error 0.024 Root mean squared error 0.1549 Relative absolute error 9.8 % Root relative squared error 44.2719 % Total Number of Instances 3250 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.899 0.017 0.897 0.899 0.898 0.941 chest 0.886 0.022 0.87 0.886 0.878 0.932 forearm 0.929 0.008 0.952 0.929 0.94 0.961 head 0.978 0.004 0.978 0.978 0.978 0.987 shin 0.92 0.013 0.922 0.92 0.921 0.954 thigh 0.866 0.018 0.887 0.866 0.877 0.924 upperarm 0.933 0.016 0.906 0.933 0.919 0.959 waist Weighted Avg. 0.916 0.014 0.916 0.916 0.916 0.951 === Confusion Matrix === a b c d e f g <-- classified as 417 1 0 3 15 24 4 | a = chest 2 410 11 1 4 9 26 | b = forearm 1 14 432 2 1 6 9 | c = head 0 3 0 455 6 1 0 | d = shin 17 7 0 2 427 11 0 | e = thigh 27 18 2 1 8 402 6 | f = upperarm 1 18 9 1 2 0 434 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 7 FOLD: 0 Correctly Classified Instances 2988 91.9102 % Incorrectly Classified Instances 263 8.0898 % Kappa statistic 0.9056 Mean absolute error 0.0231 Root mean squared error 0.152 Relative absolute error 9.4381 % Root relative squared error 43.4468 % Total Number of Instances 3251 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.925 0.016 0.905 0.925 0.915 0.954 chest 0.849 0.024 0.852 0.849 0.851 0.912 forearm 0.948 0.009 0.948 0.948 0.948 0.97 head 0.963 0.002 0.989 0.963 0.976 0.981 shin 0.944 0.012 0.93 0.944 0.937 0.966 thigh 0.851 0.018 0.888 0.851 0.869 0.917 upperarm 0.953 0.014 0.921 0.953 0.936 0.969 waist Weighted Avg. 0.919 0.013 0.919 0.919 0.919 0.953 === Confusion Matrix === a b c d e f g <-- classified as 430 4 0 0 12 16 3 | a = chest 3 393 16 1 5 18 27 | b = forearm 0 13 441 1 0 6 4 | c = head 1 8 0 448 6 2 0 | d = shin 11 6 0 1 439 8 0 | e = thigh 29 23 1 2 10 395 4 | f = upperarm 1 14 7 0 0 0 442 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2958 90.9874 % Incorrectly Classified Instances 293 9.0126 % Kappa statistic 0.8949 Mean absolute error 0.0258 Root mean squared error 0.1605 Relative absolute error 10.5147 % Root relative squared error 45.8579 % Total Number of Instances 3251 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.892 0.017 0.896 0.892 0.894 0.938 chest 0.84 0.022 0.866 0.84 0.853 0.909 forearm 0.935 0.009 0.948 0.935 0.942 0.963 head 0.966 0.001 0.991 0.966 0.978 0.982 shin 0.931 0.018 0.898 0.931 0.914 0.957 thigh 0.853 0.022 0.865 0.853 0.859 0.916 upperarm 0.95 0.017 0.906 0.95 0.927 0.967 waist Weighted Avg. 0.91 0.015 0.91 0.91 0.91 0.947 === Confusion Matrix === a b c d e f g <-- classified as 415 7 1 1 15 23 3 | a = chest 4 389 13 1 9 22 25 | b = forearm 0 13 435 0 0 4 13 | c = head 1 6 1 449 6 1 1 | d = shin 13 4 0 2 433 12 1 | e = thigh 30 15 4 0 16 396 3 | f = upperarm 0 15 5 0 3 0 441 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2989 91.9409 % Incorrectly Classified Instances 262 8.0591 % Kappa statistic 0.906 Mean absolute error 0.023 Root mean squared error 0.1517 Relative absolute error 9.4022 % Root relative squared error 43.3641 % Total Number of Instances 3251 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.908 0.013 0.923 0.908 0.915 0.947 chest 0.86 0.025 0.852 0.86 0.856 0.917 forearm 0.935 0.011 0.933 0.935 0.934 0.962 head 0.968 0.004 0.978 0.968 0.973 0.982 shin 0.948 0.015 0.913 0.948 0.93 0.967 thigh 0.873 0.012 0.923 0.873 0.897 0.93 upperarm 0.944 0.015 0.914 0.944 0.929 0.965 waist Weighted Avg. 0.919 0.013 0.92 0.919 0.919 0.953 === Confusion Matrix === a b c d e f g <-- classified as 422 5 2 1 18 16 1 | a = chest 2 398 16 1 8 11 27 | b = forearm 1 18 435 0 2 1 8 | c = head 2 5 0 450 4 2 2 | d = shin 9 6 1 4 441 3 1 | e = thigh 21 22 3 3 8 405 2 | f = upperarm 0 13 9 1 2 1 438 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2953 90.8336 % Incorrectly Classified Instances 298 9.1664 % Kappa statistic 0.8931 Mean absolute error 0.0262 Root mean squared error 0.1618 Relative absolute error 10.6941 % Root relative squared error 46.2475 % Total Number of Instances 3251 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.875 0.017 0.898 0.875 0.886 0.929 chest 0.864 0.025 0.853 0.864 0.858 0.92 forearm 0.903 0.009 0.946 0.903 0.924 0.947 head 0.961 0.005 0.972 0.961 0.966 0.978 shin 0.953 0.019 0.893 0.953 0.922 0.967 thigh 0.866 0.019 0.885 0.866 0.876 0.924 upperarm 0.935 0.015 0.914 0.935 0.925 0.96 waist Weighted Avg. 0.908 0.015 0.909 0.908 0.908 0.947 === Confusion Matrix === a b c d e f g <-- classified as 406 3 0 3 26 21 5 | a = chest 7 400 10 3 7 17 19 | b = forearm 0 25 421 0 1 6 13 | c = head 2 6 0 446 6 3 1 | d = shin 11 2 0 5 443 4 0 | e = thigh 23 17 6 2 11 402 3 | f = upperarm 3 16 8 0 2 1 435 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2990 91.9717 % Incorrectly Classified Instances 261 8.0283 % Kappa statistic 0.9063 Mean absolute error 0.0229 Root mean squared error 0.1515 Relative absolute error 9.3664 % Root relative squared error 43.2813 % Total Number of Instances 3251 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.901 0.013 0.923 0.901 0.912 0.944 chest 0.86 0.022 0.869 0.86 0.864 0.919 forearm 0.946 0.01 0.938 0.946 0.942 0.968 head 0.966 0.002 0.987 0.966 0.976 0.982 shin 0.942 0.013 0.924 0.942 0.933 0.965 thigh 0.864 0.017 0.893 0.864 0.878 0.924 upperarm 0.959 0.017 0.905 0.959 0.931 0.971 waist Weighted Avg. 0.92 0.013 0.92 0.92 0.92 0.953 === Confusion Matrix === a b c d e f g <-- classified as 418 5 1 0 15 24 1 | a = chest 3 398 15 2 1 14 30 | b = forearm 1 12 441 0 0 1 11 | c = head 0 6 1 448 5 2 2 | d = shin 11 7 1 1 438 7 0 | e = thigh 20 21 3 3 13 401 3 | f = upperarm 0 9 8 0 2 0 446 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2977 91.6 % Incorrectly Classified Instances 273 8.4 % Kappa statistic 0.902 Mean absolute error 0.024 Root mean squared error 0.1549 Relative absolute error 9.8 % Root relative squared error 44.2719 % Total Number of Instances 3250 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.886 0.014 0.915 0.886 0.9 0.936 chest 0.858 0.022 0.867 0.858 0.862 0.918 forearm 0.936 0.009 0.944 0.936 0.94 0.963 head 0.963 0.001 0.991 0.963 0.977 0.981 shin 0.944 0.018 0.896 0.944 0.919 0.963 thigh 0.879 0.02 0.881 0.879 0.88 0.93 upperarm 0.946 0.014 0.921 0.946 0.933 0.966 waist Weighted Avg. 0.916 0.014 0.916 0.916 0.916 0.951 === Confusion Matrix === a b c d e f g <-- classified as 411 4 1 0 19 27 2 | a = chest 5 398 14 1 8 16 22 | b = forearm 1 18 436 0 2 0 9 | c = head 1 5 0 447 9 2 0 | d = shin 9 4 0 2 438 9 2 | e = thigh 22 17 1 1 12 407 3 | f = upperarm 0 13 10 0 1 1 440 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2972 91.4462 % Incorrectly Classified Instances 278 8.5538 % Kappa statistic 0.9002 Mean absolute error 0.0244 Root mean squared error 0.1563 Relative absolute error 9.9795 % Root relative squared error 44.6755 % Total Number of Instances 3250 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.916 0.014 0.918 0.916 0.917 0.951 chest 0.808 0.02 0.872 0.808 0.839 0.894 forearm 0.953 0.013 0.925 0.953 0.939 0.97 head 0.968 0.004 0.974 0.968 0.971 0.982 shin 0.955 0.014 0.921 0.955 0.938 0.971 thigh 0.864 0.019 0.881 0.864 0.872 0.922 upperarm 0.938 0.016 0.906 0.938 0.922 0.961 waist Weighted Avg. 0.914 0.014 0.914 0.914 0.914 0.95 === Confusion Matrix === a b c d e f g <-- classified as 425 1 0 0 12 25 1 | a = chest 3 375 28 6 8 14 30 | b = forearm 0 11 444 0 0 4 7 | c = head 1 3 0 449 3 6 2 | d = shin 11 4 0 1 443 3 2 | e = thigh 23 16 3 4 14 400 3 | f = upperarm 0 20 5 1 1 2 436 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2983 91.7846 % Incorrectly Classified Instances 267 8.2154 % Kappa statistic 0.9042 Mean absolute error 0.0235 Root mean squared error 0.1532 Relative absolute error 9.5846 % Root relative squared error 43.7827 % Total Number of Instances 3250 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.938 0.017 0.904 0.938 0.921 0.96 chest 0.849 0.023 0.862 0.849 0.856 0.913 forearm 0.931 0.009 0.945 0.931 0.938 0.961 head 0.976 0.002 0.989 0.976 0.983 0.987 shin 0.933 0.014 0.917 0.933 0.925 0.96 thigh 0.851 0.019 0.882 0.851 0.866 0.916 upperarm 0.946 0.013 0.924 0.946 0.935 0.967 waist Weighted Avg. 0.918 0.014 0.918 0.918 0.918 0.952 === Confusion Matrix === a b c d e f g <-- classified as 435 2 0 1 14 11 1 | a = chest 3 394 17 3 7 17 23 | b = forearm 0 17 433 0 1 6 8 | c = head 0 6 0 453 4 1 0 | d = shin 12 3 0 0 433 16 0 | e = thigh 31 18 3 0 13 395 4 | f = upperarm 0 17 5 1 0 2 440 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2980 91.6923 % Incorrectly Classified Instances 270 8.3077 % Kappa statistic 0.9031 Mean absolute error 0.0237 Root mean squared error 0.1541 Relative absolute error 9.6923 % Root relative squared error 44.028 % Total Number of Instances 3250 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.91 0.015 0.912 0.91 0.911 0.947 chest 0.869 0.025 0.85 0.869 0.859 0.922 forearm 0.923 0.01 0.941 0.923 0.932 0.956 head 0.976 0.003 0.981 0.976 0.978 0.987 shin 0.946 0.015 0.913 0.946 0.929 0.966 thigh 0.853 0.018 0.888 0.853 0.87 0.918 upperarm 0.942 0.011 0.936 0.942 0.939 0.966 waist Weighted Avg. 0.917 0.014 0.917 0.917 0.917 0.952 === Confusion Matrix === a b c d e f g <-- classified as 423 6 0 2 12 20 2 | a = chest 6 403 17 2 4 10 22 | b = forearm 0 23 429 0 2 5 6 | c = head 0 4 0 453 4 3 0 | d = shin 10 5 0 0 439 10 0 | e = thigh 23 21 3 4 17 396 0 | f = upperarm 2 12 7 1 3 2 437 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2968 91.3231 % Incorrectly Classified Instances 282 8.6769 % Kappa statistic 0.8988 Mean absolute error 0.0248 Root mean squared error 0.1575 Relative absolute error 10.1231 % Root relative squared error 44.9957 % Total Number of Instances 3250 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.899 0.018 0.893 0.899 0.896 0.94 chest 0.862 0.024 0.858 0.862 0.86 0.919 forearm 0.94 0.009 0.944 0.94 0.942 0.965 head 0.966 0.004 0.978 0.966 0.972 0.981 shin 0.942 0.015 0.91 0.942 0.926 0.963 thigh 0.843 0.017 0.891 0.843 0.866 0.913 upperarm 0.942 0.014 0.918 0.942 0.93 0.964 waist Weighted Avg. 0.913 0.014 0.913 0.913 0.913 0.949 === Confusion Matrix === a b c d e f g <-- classified as 418 7 0 1 18 19 2 | a = chest 5 400 19 0 3 11 26 | b = forearm 1 13 437 2 1 5 6 | c = head 0 5 0 448 7 2 2 | d = shin 9 3 0 3 437 11 1 | e = thigh 34 20 1 2 14 391 2 | f = upperarm 1 18 6 2 0 0 437 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 8 FOLD: 0 Correctly Classified Instances 2964 91.1719 % Incorrectly Classified Instances 287 8.8281 % Kappa statistic 0.897 Mean absolute error 0.0252 Root mean squared error 0.1588 Relative absolute error 10.2994 % Root relative squared error 45.3859 % Total Number of Instances 3251 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.892 0.016 0.902 0.892 0.897 0.938 chest 0.843 0.023 0.861 0.843 0.852 0.91 forearm 0.953 0.009 0.947 0.953 0.95 0.972 head 0.953 0.003 0.98 0.953 0.966 0.975 shin 0.948 0.019 0.895 0.948 0.921 0.965 thigh 0.836 0.018 0.884 0.836 0.859 0.909 upperarm 0.957 0.015 0.914 0.957 0.935 0.971 waist Weighted Avg. 0.912 0.015 0.912 0.912 0.911 0.949 === Confusion Matrix === a b c d e f g <-- classified as 415 3 0 2 21 20 4 | a = chest 3 391 17 3 4 15 31 | b = forearm 0 16 443 0 0 3 3 | c = head 0 9 1 442 10 1 1 | d = shin 8 4 0 1 441 11 0 | e = thigh 34 18 1 3 17 388 3 | f = upperarm 0 13 6 0 0 1 444 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2964 91.1719 % Incorrectly Classified Instances 287 8.8281 % Kappa statistic 0.897 Mean absolute error 0.0252 Root mean squared error 0.1588 Relative absolute error 10.2994 % Root relative squared error 45.3859 % Total Number of Instances 3251 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.871 0.015 0.908 0.871 0.889 0.928 chest 0.845 0.022 0.865 0.845 0.855 0.911 forearm 0.923 0.011 0.935 0.923 0.929 0.956 head 0.961 0.003 0.982 0.961 0.972 0.979 shin 0.938 0.014 0.92 0.938 0.929 0.962 thigh 0.89 0.025 0.855 0.89 0.872 0.932 upperarm 0.955 0.014 0.919 0.955 0.937 0.97 waist Weighted Avg. 0.912 0.015 0.912 0.912 0.912 0.949 === Confusion Matrix === a b c d e f g <-- classified as 405 5 3 3 16 32 1 | a = chest 7 392 17 1 6 21 20 | b = forearm 0 21 429 0 0 2 13 | c = head 2 5 0 446 5 6 0 | d = shin 6 8 1 3 436 9 2 | e = thigh 26 9 4 0 9 413 3 | f = upperarm 0 13 5 1 2 0 443 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2972 91.418 % Incorrectly Classified Instances 279 8.582 % Kappa statistic 0.8999 Mean absolute error 0.0245 Root mean squared error 0.1566 Relative absolute error 10.0123 % Root relative squared error 44.7489 % Total Number of Instances 3251 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.908 0.017 0.902 0.908 0.905 0.946 chest 0.856 0.023 0.861 0.856 0.858 0.916 forearm 0.929 0.01 0.941 0.929 0.935 0.96 head 0.966 0.003 0.98 0.966 0.973 0.981 shin 0.929 0.014 0.917 0.929 0.923 0.957 thigh 0.875 0.021 0.875 0.875 0.875 0.927 upperarm 0.938 0.013 0.924 0.938 0.93 0.962 waist Weighted Avg. 0.914 0.014 0.914 0.914 0.914 0.95 === Confusion Matrix === a b c d e f g <-- classified as 422 6 0 1 10 25 1 | a = chest 6 397 16 0 9 14 22 | b = forearm 0 16 432 0 2 5 10 | c = head 3 2 0 449 6 4 1 | d = shin 14 6 0 3 431 9 1 | e = thigh 22 19 2 3 11 406 1 | f = upperarm 1 15 9 2 1 1 435 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2959 91.0181 % Incorrectly Classified Instances 292 8.9819 % Kappa statistic 0.8952 Mean absolute error 0.0257 Root mean squared error 0.1602 Relative absolute error 10.4788 % Root relative squared error 45.7795 % Total Number of Instances 3251 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.884 0.013 0.919 0.884 0.901 0.935 chest 0.834 0.022 0.862 0.834 0.847 0.906 forearm 0.931 0.014 0.919 0.931 0.925 0.959 head 0.963 0.001 0.991 0.963 0.977 0.981 shin 0.935 0.015 0.91 0.935 0.922 0.96 thigh 0.888 0.024 0.862 0.888 0.875 0.932 upperarm 0.935 0.015 0.91 0.935 0.922 0.96 waist Weighted Avg. 0.91 0.015 0.911 0.91 0.91 0.948 === Confusion Matrix === a b c d e f g <-- classified as 411 8 0 0 21 21 4 | a = chest 3 386 23 4 3 17 27 | b = forearm 0 16 434 0 1 6 9 | c = head 0 6 0 448 7 4 0 | d = shin 11 2 1 0 434 15 1 | e = thigh 21 14 4 0 11 412 2 | f = upperarm 1 16 10 0 0 3 434 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2953 90.8336 % Incorrectly Classified Instances 298 9.1664 % Kappa statistic 0.8931 Mean absolute error 0.0262 Root mean squared error 0.1618 Relative absolute error 10.6941 % Root relative squared error 46.2475 % Total Number of Instances 3251 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.886 0.009 0.941 0.886 0.913 0.938 chest 0.814 0.027 0.832 0.814 0.823 0.893 forearm 0.929 0.011 0.935 0.929 0.932 0.959 head 0.976 0.003 0.985 0.976 0.981 0.987 shin 0.94 0.014 0.92 0.94 0.93 0.963 thigh 0.877 0.027 0.844 0.877 0.86 0.925 upperarm 0.935 0.017 0.904 0.935 0.919 0.959 waist Weighted Avg. 0.908 0.015 0.909 0.908 0.908 0.947 === Confusion Matrix === a b c d e f g <-- classified as 412 7 2 0 16 25 3 | a = chest 4 377 15 3 7 23 34 | b = forearm 0 19 433 0 0 7 7 | c = head 0 3 0 454 3 3 2 | d = shin 8 5 0 1 436 14 0 | e = thigh 14 24 5 2 12 407 0 | f = upperarm 0 18 8 1 0 3 434 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2979 91.6615 % Incorrectly Classified Instances 271 8.3385 % Kappa statistic 0.9027 Mean absolute error 0.0238 Root mean squared error 0.1544 Relative absolute error 9.7282 % Root relative squared error 44.1094 % Total Number of Instances 3250 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.918 0.019 0.889 0.918 0.903 0.95 chest 0.877 0.023 0.864 0.877 0.87 0.927 forearm 0.938 0.011 0.936 0.938 0.937 0.963 head 0.961 0.001 0.993 0.961 0.977 0.98 shin 0.942 0.016 0.909 0.942 0.925 0.963 thigh 0.843 0.016 0.899 0.843 0.87 0.913 upperarm 0.938 0.012 0.93 0.938 0.934 0.963 waist Weighted Avg. 0.917 0.014 0.917 0.917 0.917 0.951 === Confusion Matrix === a b c d e f g <-- classified as 426 2 0 1 17 17 1 | a = chest 2 406 16 0 7 13 19 | b = forearm 0 17 437 0 1 4 7 | c = head 2 7 0 446 7 1 1 | d = shin 16 2 0 0 437 7 2 | e = thigh 33 24 2 2 9 391 3 | f = upperarm 0 12 12 0 3 2 436 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2983 91.7846 % Incorrectly Classified Instances 267 8.2154 % Kappa statistic 0.9042 Mean absolute error 0.0235 Root mean squared error 0.1532 Relative absolute error 9.5846 % Root relative squared error 43.7827 % Total Number of Instances 3250 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.925 0.015 0.913 0.925 0.919 0.955 chest 0.864 0.022 0.868 0.864 0.866 0.921 forearm 0.927 0.012 0.929 0.927 0.928 0.958 head 0.968 0.001 0.991 0.968 0.979 0.983 shin 0.929 0.012 0.927 0.929 0.928 0.958 thigh 0.864 0.02 0.877 0.864 0.871 0.922 upperarm 0.948 0.014 0.921 0.948 0.934 0.967 waist Weighted Avg. 0.918 0.014 0.918 0.918 0.918 0.952 === Confusion Matrix === a b c d e f g <-- classified as 429 2 0 0 14 19 0 | a = chest 3 400 21 0 3 12 24 | b = forearm 1 17 432 0 0 4 12 | c = head 0 7 0 449 3 4 1 | d = shin 11 5 0 1 431 16 0 | e = thigh 24 19 4 1 14 401 1 | f = upperarm 2 11 8 2 0 1 441 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2997 92.2154 % Incorrectly Classified Instances 253 7.7846 % Kappa statistic 0.9092 Mean absolute error 0.0222 Root mean squared error 0.1491 Relative absolute error 9.0821 % Root relative squared error 42.6194 % Total Number of Instances 3250 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.912 0.017 0.902 0.912 0.907 0.948 chest 0.855 0.018 0.89 0.855 0.872 0.919 forearm 0.944 0.009 0.944 0.944 0.944 0.967 head 0.972 0.004 0.976 0.972 0.974 0.984 shin 0.963 0.013 0.928 0.963 0.945 0.975 thigh 0.853 0.017 0.892 0.853 0.872 0.918 upperarm 0.955 0.014 0.921 0.955 0.938 0.971 waist Weighted Avg. 0.922 0.013 0.922 0.922 0.922 0.955 === Confusion Matrix === a b c d e f g <-- classified as 423 5 0 2 14 19 1 | a = chest 2 396 16 4 3 16 26 | b = forearm 1 12 439 0 0 5 8 | c = head 1 5 0 451 4 2 1 | d = shin 7 4 0 1 448 5 0 | e = thigh 35 14 0 4 13 396 2 | f = upperarm 0 9 10 0 1 1 444 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2961 91.1077 % Incorrectly Classified Instances 289 8.8923 % Kappa statistic 0.8963 Mean absolute error 0.0254 Root mean squared error 0.1594 Relative absolute error 10.3744 % Root relative squared error 45.5508 % Total Number of Instances 3250 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.916 0.015 0.908 0.916 0.912 0.95 chest 0.853 0.028 0.837 0.853 0.845 0.913 forearm 0.929 0.009 0.943 0.929 0.936 0.96 head 0.97 0.005 0.97 0.97 0.97 0.982 shin 0.929 0.012 0.929 0.929 0.929 0.959 thigh 0.842 0.02 0.872 0.842 0.857 0.911 upperarm 0.938 0.014 0.918 0.938 0.928 0.962 waist Weighted Avg. 0.911 0.015 0.911 0.911 0.911 0.948 === Confusion Matrix === a b c d e f g <-- classified as 425 2 1 1 11 22 2 | a = chest 2 396 18 2 5 17 24 | b = forearm 1 16 432 2 1 5 8 | c = head 0 7 0 450 1 4 2 | d = shin 12 6 0 6 432 8 1 | e = thigh 27 25 2 2 15 390 2 | f = upperarm 1 21 5 1 0 1 436 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 3015 92.7692 % Incorrectly Classified Instances 235 7.2308 % Kappa statistic 0.9156 Mean absolute error 0.0207 Root mean squared error 0.1437 Relative absolute error 8.4359 % Root relative squared error 41.0753 % Total Number of Instances 3250 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.92 0.016 0.907 0.92 0.913 0.952 chest 0.864 0.017 0.893 0.864 0.878 0.923 forearm 0.938 0.007 0.958 0.938 0.948 0.965 head 0.978 0.004 0.978 0.978 0.978 0.987 shin 0.953 0.01 0.943 0.953 0.948 0.971 thigh 0.886 0.019 0.886 0.886 0.886 0.933 upperarm 0.955 0.012 0.929 0.955 0.942 0.971 waist Weighted Avg. 0.928 0.012 0.928 0.928 0.928 0.958 === Confusion Matrix === a b c d e f g <-- classified as 427 0 0 0 15 21 1 | a = chest 6 401 11 4 2 17 23 | b = forearm 0 19 436 1 0 4 5 | c = head 1 2 1 454 3 3 0 | d = shin 13 1 0 1 443 6 1 | e = thigh 23 13 3 4 6 410 4 | f = upperarm 1 13 4 0 1 2 444 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 9 FOLD: 0 Correctly Classified Instances 2984 91.7871 % Incorrectly Classified Instances 267 8.2129 % Kappa statistic 0.9042 Mean absolute error 0.0235 Root mean squared error 0.1532 Relative absolute error 9.5817 % Root relative squared error 43.776 % Total Number of Instances 3251 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.886 0.013 0.92 0.886 0.903 0.937 chest 0.87 0.021 0.874 0.87 0.872 0.925 forearm 0.933 0.009 0.946 0.933 0.939 0.962 head 0.972 0.005 0.972 0.972 0.972 0.984 shin 0.946 0.018 0.9 0.946 0.922 0.964 thigh 0.862 0.018 0.889 0.862 0.875 0.922 upperarm 0.955 0.013 0.925 0.955 0.94 0.971 waist Weighted Avg. 0.918 0.014 0.918 0.918 0.918 0.952 === Confusion Matrix === a b c d e f g <-- classified as 412 4 0 2 25 19 3 | a = chest 1 403 12 3 4 14 26 | b = forearm 1 19 434 0 1 5 5 | c = head 1 5 0 451 4 2 1 | d = shin 10 0 1 5 440 8 1 | e = thigh 23 19 5 2 15 400 0 | f = upperarm 0 11 7 1 0 2 444 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2953 90.8336 % Incorrectly Classified Instances 298 9.1664 % Kappa statistic 0.8931 Mean absolute error 0.0262 Root mean squared error 0.1618 Relative absolute error 10.6941 % Root relative squared error 46.2475 % Total Number of Instances 3251 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.899 0.017 0.899 0.899 0.899 0.941 chest 0.862 0.028 0.837 0.862 0.849 0.917 forearm 0.931 0.01 0.941 0.931 0.936 0.961 head 0.972 0.004 0.976 0.972 0.974 0.984 shin 0.946 0.014 0.92 0.946 0.933 0.966 thigh 0.828 0.021 0.867 0.828 0.847 0.903 upperarm 0.92 0.014 0.918 0.92 0.919 0.953 waist Weighted Avg. 0.908 0.015 0.908 0.908 0.908 0.947 === Confusion Matrix === a b c d e f g <-- classified as 418 6 1 1 14 23 2 | a = chest 4 400 15 4 2 17 22 | b = forearm 3 15 434 0 1 2 11 | c = head 0 4 1 451 3 5 0 | d = shin 6 7 0 1 439 11 0 | e = thigh 34 21 2 3 17 384 3 | f = upperarm 0 25 8 2 1 1 427 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2984 91.7871 % Incorrectly Classified Instances 267 8.2129 % Kappa statistic 0.9042 Mean absolute error 0.0235 Root mean squared error 0.1532 Relative absolute error 9.5817 % Root relative squared error 43.776 % Total Number of Instances 3251 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.901 0.017 0.899 0.901 0.9 0.942 chest 0.866 0.022 0.868 0.866 0.867 0.922 forearm 0.942 0.009 0.948 0.942 0.945 0.967 head 0.963 0.003 0.982 0.963 0.973 0.98 shin 0.942 0.014 0.92 0.942 0.931 0.964 thigh 0.866 0.02 0.878 0.866 0.872 0.923 upperarm 0.944 0.012 0.93 0.944 0.937 0.966 waist Weighted Avg. 0.918 0.014 0.918 0.918 0.918 0.952 === Confusion Matrix === a b c d e f g <-- classified as 419 4 3 2 15 20 2 | a = chest 2 402 12 0 5 22 21 | b = forearm 0 16 439 0 0 5 6 | c = head 0 7 0 447 6 2 2 | d = shin 18 3 0 2 437 4 0 | e = thigh 25 21 1 3 10 402 2 | f = upperarm 2 10 8 1 2 3 438 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3017 92.8022 % Incorrectly Classified Instances 234 7.1978 % Kappa statistic 0.916 Mean absolute error 0.0206 Root mean squared error 0.1434 Relative absolute error 8.3974 % Root relative squared error 40.9815 % Total Number of Instances 3251 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.92 0.016 0.905 0.92 0.913 0.952 chest 0.888 0.018 0.89 0.888 0.889 0.935 forearm 0.944 0.008 0.954 0.944 0.949 0.968 head 0.961 0.001 0.991 0.961 0.976 0.98 shin 0.944 0.01 0.938 0.944 0.941 0.967 thigh 0.883 0.017 0.895 0.883 0.889 0.933 upperarm 0.955 0.013 0.925 0.955 0.94 0.971 waist Weighted Avg. 0.928 0.012 0.928 0.928 0.928 0.958 === Confusion Matrix === a b c d e f g <-- classified as 428 2 0 1 12 20 2 | a = chest 6 412 14 1 6 9 16 | b = forearm 0 13 440 0 0 5 8 | c = head 2 8 0 447 3 4 1 | d = shin 12 4 0 1 438 8 1 | e = thigh 24 10 3 1 8 409 8 | f = upperarm 1 14 4 0 0 2 443 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2955 90.8951 % Incorrectly Classified Instances 296 9.1049 % Kappa statistic 0.8938 Mean absolute error 0.026 Root mean squared error 0.1613 Relative absolute error 10.6224 % Root relative squared error 46.092 % Total Number of Instances 3251 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.897 0.014 0.912 0.897 0.905 0.941 chest 0.834 0.024 0.851 0.834 0.842 0.905 forearm 0.918 0.014 0.916 0.918 0.917 0.952 head 0.963 0.004 0.978 0.963 0.971 0.98 shin 0.938 0.014 0.918 0.938 0.928 0.962 thigh 0.847 0.019 0.883 0.847 0.864 0.914 upperarm 0.966 0.017 0.903 0.966 0.933 0.974 waist Weighted Avg. 0.909 0.015 0.909 0.909 0.909 0.947 === Confusion Matrix === a b c d e f g <-- classified as 417 1 0 3 20 21 3 | a = chest 5 387 21 2 5 13 31 | b = forearm 2 22 428 0 1 5 8 | c = head 0 8 0 448 3 3 3 | d = shin 11 5 0 1 435 10 2 | e = thigh 22 27 9 2 10 392 1 | f = upperarm 0 5 9 2 0 0 448 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2942 90.5231 % Incorrectly Classified Instances 308 9.4769 % Kappa statistic 0.8894 Mean absolute error 0.0271 Root mean squared error 0.1646 Relative absolute error 11.0564 % Root relative squared error 47.0243 % Total Number of Instances 3250 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.888 0.019 0.888 0.888 0.888 0.935 chest 0.828 0.021 0.869 0.828 0.848 0.903 forearm 0.929 0.01 0.939 0.929 0.934 0.959 head 0.976 0.005 0.968 0.976 0.972 0.985 shin 0.94 0.013 0.924 0.94 0.932 0.963 thigh 0.843 0.025 0.846 0.843 0.844 0.909 upperarm 0.933 0.017 0.9 0.933 0.916 0.958 waist Weighted Avg. 0.905 0.016 0.905 0.905 0.905 0.945 === Confusion Matrix === a b c d e f g <-- classified as 412 2 0 3 18 27 2 | a = chest 4 384 19 1 3 21 32 | b = forearm 0 17 432 1 1 5 9 | c = head 0 2 0 454 4 3 2 | d = shin 10 3 0 3 436 12 0 | e = thigh 38 15 3 6 8 391 3 | f = upperarm 0 19 6 1 2 3 433 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2983 91.7846 % Incorrectly Classified Instances 267 8.2154 % Kappa statistic 0.9042 Mean absolute error 0.0235 Root mean squared error 0.1532 Relative absolute error 9.5846 % Root relative squared error 43.7827 % Total Number of Instances 3250 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.931 0.016 0.908 0.931 0.919 0.958 chest 0.836 0.02 0.874 0.836 0.854 0.908 forearm 0.931 0.009 0.945 0.931 0.938 0.961 head 0.97 0.004 0.978 0.97 0.974 0.983 shin 0.942 0.011 0.934 0.942 0.938 0.965 thigh 0.866 0.016 0.899 0.866 0.883 0.925 upperarm 0.948 0.02 0.887 0.948 0.917 0.964 waist Weighted Avg. 0.918 0.014 0.918 0.918 0.918 0.952 === Confusion Matrix === a b c d e f g <-- classified as 432 4 0 0 9 17 2 | a = chest 11 387 14 2 4 12 33 | b = forearm 1 16 433 1 0 3 11 | c = head 1 5 0 450 4 1 3 | d = shin 11 2 1 4 438 8 1 | e = thigh 19 20 2 3 12 402 6 | f = upperarm 1 9 8 0 2 4 441 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2959 91.0462 % Incorrectly Classified Instances 291 8.9538 % Kappa statistic 0.8955 Mean absolute error 0.0256 Root mean squared error 0.1599 Relative absolute error 10.4462 % Root relative squared error 45.7081 % Total Number of Instances 3250 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.892 0.02 0.879 0.892 0.886 0.936 chest 0.827 0.02 0.87 0.827 0.848 0.903 forearm 0.946 0.008 0.954 0.946 0.95 0.969 head 0.963 0.002 0.989 0.963 0.976 0.981 shin 0.916 0.018 0.895 0.916 0.905 0.949 thigh 0.866 0.023 0.861 0.866 0.864 0.922 upperarm 0.961 0.013 0.925 0.961 0.943 0.974 waist Weighted Avg. 0.91 0.015 0.911 0.91 0.91 0.948 === Confusion Matrix === a b c d e f g <-- classified as 414 2 1 1 20 25 1 | a = chest 6 383 18 1 10 22 23 | b = forearm 0 14 440 0 0 3 8 | c = head 4 3 0 447 6 3 1 | d = shin 17 8 0 1 426 12 1 | e = thigh 30 15 1 1 13 402 2 | f = upperarm 0 15 1 1 1 0 447 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2971 91.4154 % Incorrectly Classified Instances 279 8.5846 % Kappa statistic 0.8998 Mean absolute error 0.0245 Root mean squared error 0.1566 Relative absolute error 10.0154 % Root relative squared error 44.7558 % Total Number of Instances 3250 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.894 0.017 0.898 0.894 0.896 0.939 chest 0.836 0.018 0.888 0.836 0.861 0.909 forearm 0.942 0.014 0.918 0.942 0.93 0.964 head 0.963 0.003 0.982 0.963 0.973 0.98 shin 0.933 0.009 0.943 0.933 0.938 0.962 thigh 0.894 0.027 0.845 0.894 0.869 0.934 upperarm 0.935 0.012 0.928 0.935 0.931 0.962 waist Weighted Avg. 0.914 0.014 0.915 0.914 0.914 0.95 === Confusion Matrix === a b c d e f g <-- classified as 415 6 0 0 13 29 1 | a = chest 5 387 21 4 1 20 25 | b = forearm 0 14 438 1 1 5 6 | c = head 3 3 1 447 5 4 1 | d = shin 11 2 0 1 434 16 1 | e = thigh 26 12 4 1 6 415 0 | f = upperarm 2 12 13 1 0 2 435 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2993 92.0923 % Incorrectly Classified Instances 257 7.9077 % Kappa statistic 0.9077 Mean absolute error 0.0226 Root mean squared error 0.1503 Relative absolute error 9.2256 % Root relative squared error 42.955 % Total Number of Instances 3250 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.925 0.015 0.909 0.925 0.917 0.955 chest 0.829 0.017 0.889 0.829 0.858 0.906 forearm 0.929 0.01 0.939 0.929 0.934 0.959 head 0.974 0.004 0.974 0.974 0.974 0.985 shin 0.94 0.014 0.918 0.94 0.929 0.963 thigh 0.894 0.017 0.9 0.894 0.897 0.939 upperarm 0.955 0.015 0.915 0.955 0.935 0.97 waist Weighted Avg. 0.921 0.013 0.921 0.921 0.921 0.954 === Confusion Matrix === a b c d e f g <-- classified as 429 3 0 1 15 14 2 | a = chest 7 384 19 5 6 19 23 | b = forearm 1 15 432 1 0 4 12 | c = head 2 3 0 452 5 2 0 | d = shin 12 6 0 2 437 7 1 | e = thigh 20 9 1 3 13 415 3 | f = upperarm 1 12 8 0 0 0 444 | g = waist ------------------------------------------------------------------------------------------------------ SUBJECT: 13 RUN: 0 FOLD: 0 Correctly Classified Instances 2802 85.4268 % Incorrectly Classified Instances 478 14.5732 % Kappa statistic 0.83 Mean absolute error 0.0416 Root mean squared error 0.2041 Relative absolute error 17.0021 % Root relative squared error 58.313 % Total Number of Instances 3280 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.849 0.022 0.867 0.849 0.858 0.913 chest 0.814 0.028 0.83 0.814 0.822 0.893 forearm 0.849 0.036 0.797 0.849 0.822 0.906 head 0.983 0.002 0.987 0.983 0.985 0.99 shin 0.861 0.017 0.892 0.861 0.876 0.922 thigh 0.737 0.031 0.8 0.737 0.768 0.853 upperarm 0.887 0.034 0.812 0.887 0.848 0.926 waist Weighted Avg. 0.854 0.024 0.855 0.854 0.854 0.915 === Confusion Matrix === a b c d e f g <-- classified as 398 5 9 1 24 19 13 | a = chest 6 380 29 1 5 17 29 | b = forearm 5 29 400 0 2 22 13 | c = head 0 1 1 461 4 2 0 | d = shin 21 2 5 2 403 21 14 | e = thigh 23 25 34 1 13 345 27 | f = upperarm 6 16 24 1 1 5 415 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2823 86.0671 % Incorrectly Classified Instances 457 13.9329 % Kappa statistic 0.8374 Mean absolute error 0.0398 Root mean squared error 0.1995 Relative absolute error 16.2551 % Root relative squared error 57.0177 % Total Number of Instances 3280 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.882 0.025 0.853 0.882 0.868 0.929 chest 0.827 0.033 0.806 0.827 0.816 0.897 forearm 0.845 0.03 0.824 0.845 0.834 0.907 head 0.979 0.002 0.987 0.979 0.983 0.988 shin 0.883 0.012 0.924 0.883 0.903 0.935 thigh 0.763 0.034 0.788 0.763 0.775 0.864 upperarm 0.846 0.026 0.846 0.846 0.846 0.91 waist Weighted Avg. 0.861 0.023 0.861 0.861 0.861 0.919 === Confusion Matrix === a b c d e f g <-- classified as 413 4 3 0 11 30 7 | a = chest 8 386 30 1 7 16 19 | b = forearm 2 37 398 0 1 24 9 | c = head 0 1 1 459 6 1 1 | d = shin 16 3 2 2 414 15 17 | e = thigh 35 30 19 2 6 357 19 | f = upperarm 10 18 30 1 3 10 396 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2792 85.122 % Incorrectly Classified Instances 488 14.878 % Kappa statistic 0.8264 Mean absolute error 0.0425 Root mean squared error 0.2062 Relative absolute error 17.3577 % Root relative squared error 58.9198 % Total Number of Instances 3280 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.87 0.026 0.846 0.87 0.858 0.922 chest 0.816 0.033 0.804 0.816 0.81 0.891 forearm 0.826 0.032 0.814 0.826 0.82 0.897 head 0.974 0.002 0.987 0.974 0.981 0.986 shin 0.846 0.015 0.904 0.846 0.874 0.916 thigh 0.746 0.034 0.783 0.746 0.764 0.856 upperarm 0.88 0.031 0.826 0.88 0.852 0.925 waist Weighted Avg. 0.851 0.025 0.852 0.851 0.851 0.913 === Confusion Matrix === a b c d e f g <-- classified as 407 7 8 1 11 25 9 | a = chest 6 381 32 1 5 23 19 | b = forearm 8 32 389 1 1 21 19 | c = head 2 2 2 457 3 1 2 | d = shin 26 1 5 2 397 20 18 | e = thigh 29 25 24 1 20 349 20 | f = upperarm 3 26 18 0 2 7 412 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2832 86.3415 % Incorrectly Classified Instances 448 13.6585 % Kappa statistic 0.8406 Mean absolute error 0.039 Root mean squared error 0.1975 Relative absolute error 15.935 % Root relative squared error 56.4535 % Total Number of Instances 3280 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.863 0.027 0.843 0.863 0.853 0.918 chest 0.779 0.019 0.873 0.779 0.824 0.88 forearm 0.875 0.032 0.819 0.875 0.846 0.921 head 0.966 0.004 0.978 0.966 0.972 0.981 shin 0.874 0.015 0.905 0.874 0.889 0.929 thigh 0.821 0.029 0.826 0.821 0.823 0.896 upperarm 0.866 0.034 0.81 0.866 0.837 0.916 waist Weighted Avg. 0.863 0.023 0.865 0.863 0.863 0.92 === Confusion Matrix === a b c d e f g <-- classified as 404 8 7 3 16 21 9 | a = chest 12 364 31 2 7 19 32 | b = forearm 5 18 412 1 1 18 16 | c = head 2 2 3 452 5 1 3 | d = shin 22 0 2 2 410 16 17 | e = thigh 25 13 18 2 8 384 18 | f = upperarm 9 12 30 0 6 6 406 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2800 85.3659 % Incorrectly Classified Instances 480 14.6341 % Kappa statistic 0.8293 Mean absolute error 0.0418 Root mean squared error 0.2045 Relative absolute error 17.0732 % Root relative squared error 58.4349 % Total Number of Instances 3280 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.868 0.023 0.862 0.868 0.865 0.922 chest 0.779 0.031 0.807 0.779 0.793 0.874 forearm 0.83 0.029 0.827 0.83 0.828 0.9 head 0.962 0.004 0.974 0.962 0.968 0.979 shin 0.885 0.014 0.912 0.885 0.898 0.935 thigh 0.775 0.036 0.784 0.775 0.779 0.87 upperarm 0.876 0.033 0.814 0.876 0.844 0.921 waist Weighted Avg. 0.854 0.024 0.854 0.854 0.854 0.915 === Confusion Matrix === a b c d e f g <-- classified as 407 14 4 3 8 26 7 | a = chest 10 364 30 5 5 21 32 | b = forearm 6 31 391 0 2 25 16 | c = head 2 4 0 450 6 2 4 | d = shin 13 1 2 1 415 19 18 | e = thigh 25 23 27 2 11 362 17 | f = upperarm 9 14 19 1 8 7 411 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2886 87.9878 % Incorrectly Classified Instances 394 12.0122 % Kappa statistic 0.8599 Mean absolute error 0.0343 Root mean squared error 0.1853 Relative absolute error 14.0142 % Root relative squared error 52.942 % Total Number of Instances 3280 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.876 0.018 0.892 0.876 0.884 0.929 chest 0.807 0.023 0.851 0.807 0.828 0.892 forearm 0.875 0.028 0.841 0.875 0.858 0.924 head 0.972 0.002 0.985 0.972 0.978 0.985 shin 0.891 0.011 0.931 0.891 0.911 0.94 thigh 0.842 0.033 0.807 0.842 0.824 0.904 upperarm 0.896 0.024 0.861 0.896 0.878 0.936 waist Weighted Avg. 0.88 0.02 0.881 0.88 0.88 0.93 === Confusion Matrix === a b c d e f g <-- classified as 411 4 5 0 10 28 11 | a = chest 5 376 35 2 4 20 24 | b = forearm 3 25 413 0 0 21 10 | c = head 1 2 1 455 5 2 2 | d = shin 15 1 5 2 418 17 11 | e = thigh 19 20 19 2 4 393 10 | f = upperarm 7 14 13 1 8 6 420 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2831 86.3373 % Incorrectly Classified Instances 448 13.6627 % Kappa statistic 0.8406 Mean absolute error 0.039 Root mean squared error 0.1976 Relative absolute error 15.9398 % Root relative squared error 56.4621 % Total Number of Instances 3279 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.861 0.021 0.873 0.861 0.867 0.92 chest 0.801 0.029 0.82 0.801 0.81 0.886 forearm 0.877 0.031 0.826 0.877 0.851 0.923 head 0.968 0.003 0.983 0.968 0.975 0.983 shin 0.87 0.016 0.898 0.87 0.884 0.927 thigh 0.797 0.03 0.814 0.797 0.805 0.883 upperarm 0.87 0.029 0.834 0.87 0.851 0.92 waist Weighted Avg. 0.863 0.023 0.864 0.863 0.863 0.92 === Confusion Matrix === a b c d e f g <-- classified as 404 11 8 2 21 14 9 | a = chest 7 374 32 1 3 21 29 | b = forearm 4 25 414 1 1 20 7 | c = head 0 1 3 453 4 3 4 | d = shin 22 2 0 3 407 24 10 | e = thigh 20 22 25 0 6 372 22 | f = upperarm 6 21 19 1 11 3 407 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2805 85.5444 % Incorrectly Classified Instances 474 14.4556 % Kappa statistic 0.8313 Mean absolute error 0.0413 Root mean squared error 0.2032 Relative absolute error 16.8649 % Root relative squared error 58.0774 % Total Number of Instances 3279 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.885 0.026 0.849 0.885 0.866 0.929 chest 0.745 0.029 0.811 0.745 0.777 0.858 forearm 0.858 0.035 0.803 0.858 0.83 0.911 head 0.994 0.003 0.981 0.994 0.987 0.995 shin 0.902 0.014 0.917 0.902 0.909 0.944 thigh 0.761 0.032 0.798 0.761 0.779 0.864 upperarm 0.844 0.03 0.826 0.844 0.835 0.907 waist Weighted Avg. 0.855 0.024 0.855 0.855 0.855 0.916 === Confusion Matrix === a b c d e f g <-- classified as 415 3 6 2 11 29 3 | a = chest 10 348 42 1 6 25 35 | b = forearm 4 35 404 0 1 17 10 | c = head 1 0 1 465 0 1 0 | d = shin 14 0 4 2 422 12 14 | e = thigh 33 19 23 3 13 356 21 | f = upperarm 12 24 23 1 7 6 395 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2841 86.6423 % Incorrectly Classified Instances 438 13.3577 % Kappa statistic 0.8442 Mean absolute error 0.0382 Root mean squared error 0.1954 Relative absolute error 15.584 % Root relative squared error 55.8284 % Total Number of Instances 3279 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.861 0.021 0.874 0.861 0.868 0.92 chest 0.82 0.036 0.791 0.82 0.805 0.892 forearm 0.849 0.029 0.832 0.849 0.84 0.91 head 0.981 0.003 0.983 0.981 0.982 0.989 shin 0.904 0.014 0.916 0.904 0.91 0.945 thigh 0.782 0.027 0.828 0.782 0.804 0.878 upperarm 0.868 0.027 0.844 0.868 0.856 0.92 waist Weighted Avg. 0.866 0.022 0.867 0.866 0.866 0.922 === Confusion Matrix === a b c d e f g <-- classified as 404 14 5 1 11 19 15 | a = chest 5 383 33 2 4 15 25 | b = forearm 2 38 400 1 1 19 10 | c = head 1 0 2 459 4 1 1 | d = shin 16 2 2 2 423 18 5 | e = thigh 21 26 22 1 13 366 19 | f = upperarm 13 21 17 1 6 4 406 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2837 86.5203 % Incorrectly Classified Instances 442 13.4797 % Kappa statistic 0.8427 Mean absolute error 0.0385 Root mean squared error 0.1962 Relative absolute error 15.7264 % Root relative squared error 56.0827 % Total Number of Instances 3279 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.883 0.018 0.892 0.883 0.887 0.932 chest 0.803 0.031 0.813 0.803 0.808 0.886 forearm 0.851 0.03 0.827 0.851 0.839 0.911 head 0.979 0.001 0.991 0.979 0.985 0.989 shin 0.878 0.014 0.915 0.878 0.896 0.932 thigh 0.797 0.036 0.787 0.797 0.792 0.881 upperarm 0.865 0.028 0.837 0.865 0.851 0.919 waist Weighted Avg. 0.865 0.022 0.866 0.865 0.866 0.921 === Confusion Matrix === a b c d e f g <-- classified as 414 5 3 0 15 25 7 | a = chest 8 375 34 0 3 23 24 | b = forearm 6 27 401 0 2 27 8 | c = head 1 0 3 458 3 2 1 | d = shin 10 5 1 2 411 15 24 | e = thigh 21 24 21 0 14 373 15 | f = upperarm 4 25 22 2 1 9 405 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 1 FOLD: 0 Correctly Classified Instances 2814 85.7927 % Incorrectly Classified Instances 466 14.2073 % Kappa statistic 0.8342 Mean absolute error 0.0406 Root mean squared error 0.2015 Relative absolute error 16.5752 % Root relative squared error 57.5764 % Total Number of Instances 3280 === 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 0.923 chest 0.801 0.027 0.829 0.801 0.815 0.887 forearm 0.845 0.032 0.816 0.845 0.83 0.906 head 0.968 0.003 0.981 0.968 0.974 0.982 shin 0.904 0.016 0.906 0.904 0.905 0.944 thigh 0.78 0.034 0.792 0.78 0.786 0.873 upperarm 0.842 0.034 0.806 0.842 0.823 0.904 waist Weighted Avg. 0.858 0.024 0.858 0.858 0.858 0.917 === Confusion Matrix === a b c d e f g <-- classified as 405 6 9 2 15 20 11 | a = chest 5 374 24 1 7 22 34 | b = forearm 2 20 398 2 0 32 17 | c = head 1 1 2 454 4 2 5 | d = shin 17 0 3 2 424 13 10 | e = thigh 23 26 26 0 10 365 18 | f = upperarm 7 24 26 2 8 7 394 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2817 85.8841 % Incorrectly Classified Instances 463 14.1159 % Kappa statistic 0.8353 Mean absolute error 0.0403 Root mean squared error 0.2008 Relative absolute error 16.4685 % Root relative squared error 57.3908 % Total Number of Instances 3280 === 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 0.921 chest 0.792 0.027 0.831 0.792 0.811 0.883 forearm 0.847 0.035 0.803 0.847 0.824 0.906 head 0.97 0.002 0.989 0.97 0.98 0.984 shin 0.876 0.018 0.892 0.876 0.884 0.929 thigh 0.765 0.028 0.819 0.765 0.791 0.868 upperarm 0.893 0.031 0.829 0.893 0.86 0.931 waist Weighted Avg. 0.859 0.024 0.86 0.859 0.859 0.918 === Confusion Matrix === a b c d e f g <-- classified as 407 2 8 0 24 19 9 | a = chest 9 370 44 0 6 11 27 | b = forearm 7 32 399 1 1 24 7 | c = head 3 0 2 454 5 2 2 | d = shin 19 2 2 2 411 18 15 | e = thigh 29 24 17 2 12 358 26 | f = upperarm 3 15 25 0 2 5 418 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2811 85.7012 % Incorrectly Classified Instances 469 14.2988 % Kappa statistic 0.8332 Mean absolute error 0.0409 Root mean squared error 0.2021 Relative absolute error 16.6819 % Root relative squared error 57.7615 % Total Number of Instances 3280 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.872 0.024 0.859 0.872 0.866 0.924 chest 0.758 0.027 0.821 0.758 0.788 0.865 forearm 0.847 0.032 0.814 0.847 0.83 0.907 head 0.985 0.002 0.987 0.985 0.986 0.991 shin 0.859 0.016 0.902 0.859 0.88 0.922 thigh 0.782 0.034 0.794 0.782 0.788 0.874 upperarm 0.895 0.032 0.825 0.895 0.859 0.932 waist Weighted Avg. 0.857 0.024 0.857 0.857 0.857 0.917 === Confusion Matrix === a b c d e f g <-- classified as 409 2 7 1 17 24 9 | a = chest 8 354 45 3 5 23 29 | b = forearm 6 29 399 0 1 24 12 | c = head 2 1 0 461 2 1 1 | d = shin 18 3 3 1 403 19 22 | e = thigh 25 24 25 0 12 366 16 | f = upperarm 8 18 11 1 7 4 419 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2831 86.311 % Incorrectly Classified Instances 449 13.689 % Kappa statistic 0.8403 Mean absolute error 0.0391 Root mean squared error 0.1978 Relative absolute error 15.9705 % Root relative squared error 56.5164 % Total Number of Instances 3280 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.859 0.019 0.882 0.859 0.87 0.92 chest 0.773 0.027 0.828 0.773 0.8 0.873 forearm 0.881 0.032 0.823 0.881 0.851 0.925 head 0.979 0.003 0.981 0.979 0.98 0.988 shin 0.881 0.014 0.912 0.881 0.896 0.933 thigh 0.801 0.035 0.791 0.801 0.796 0.883 upperarm 0.868 0.03 0.83 0.868 0.848 0.919 waist Weighted Avg. 0.863 0.023 0.864 0.863 0.863 0.92 === Confusion Matrix === a b c d e f g <-- classified as 403 9 7 1 9 31 9 | a = chest 6 361 32 3 6 26 33 | b = forearm 2 27 415 1 3 16 7 | c = head 0 0 2 458 5 0 3 | d = shin 22 4 4 0 413 14 12 | e = thigh 19 19 21 3 12 375 19 | f = upperarm 5 16 23 1 5 12 406 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2815 85.8232 % Incorrectly Classified Instances 465 14.1768 % Kappa statistic 0.8346 Mean absolute error 0.0405 Root mean squared error 0.2013 Relative absolute error 16.5397 % Root relative squared error 57.5146 % Total Number of Instances 3280 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.855 0.024 0.857 0.855 0.856 0.916 chest 0.801 0.031 0.813 0.801 0.807 0.885 forearm 0.849 0.031 0.82 0.849 0.834 0.909 head 0.972 0.002 0.987 0.972 0.98 0.985 shin 0.874 0.016 0.899 0.874 0.886 0.929 thigh 0.795 0.032 0.803 0.795 0.799 0.881 upperarm 0.861 0.029 0.833 0.861 0.847 0.916 waist Weighted Avg. 0.858 0.024 0.859 0.858 0.858 0.917 === Confusion Matrix === a b c d e f g <-- classified as 401 11 5 3 13 25 11 | a = chest 3 374 39 0 5 24 22 | b = forearm 7 30 400 1 0 19 14 | c = head 0 4 1 455 4 3 1 | d = shin 19 3 1 0 410 16 20 | e = thigh 26 15 28 0 14 372 13 | f = upperarm 12 23 14 2 10 4 403 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2819 85.9451 % Incorrectly Classified Instances 461 14.0549 % Kappa statistic 0.836 Mean absolute error 0.0402 Root mean squared error 0.2004 Relative absolute error 16.3974 % Root relative squared error 57.2667 % Total Number of Instances 3280 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.864 0.023 0.86 0.864 0.862 0.92 chest 0.816 0.029 0.825 0.816 0.82 0.894 forearm 0.845 0.034 0.807 0.845 0.826 0.906 head 0.976 0.004 0.979 0.976 0.978 0.986 shin 0.885 0.017 0.896 0.885 0.89 0.934 thigh 0.759 0.031 0.805 0.759 0.781 0.864 upperarm 0.872 0.027 0.845 0.872 0.858 0.923 waist Weighted Avg. 0.859 0.023 0.859 0.859 0.859 0.918 === Confusion Matrix === a b c d e f g <-- classified as 405 10 4 2 15 26 7 | a = chest 7 381 35 4 7 11 22 | b = forearm 5 27 398 0 3 24 14 | c = head 2 2 1 457 6 0 0 | d = shin 19 0 3 2 414 17 13 | e = thigh 28 28 27 1 10 355 19 | f = upperarm 5 14 25 1 7 8 409 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2824 86.1238 % Incorrectly Classified Instances 455 13.8762 % Kappa statistic 0.8381 Mean absolute error 0.0396 Root mean squared error 0.1991 Relative absolute error 16.1889 % Root relative squared error 56.9015 % Total Number of Instances 3279 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.898 0.026 0.852 0.898 0.874 0.936 chest 0.786 0.026 0.834 0.786 0.809 0.88 forearm 0.824 0.026 0.842 0.824 0.833 0.899 head 0.972 0.004 0.978 0.972 0.975 0.984 shin 0.878 0.016 0.903 0.878 0.891 0.931 thigh 0.784 0.033 0.799 0.784 0.791 0.876 upperarm 0.887 0.032 0.822 0.887 0.853 0.927 waist Weighted Avg. 0.861 0.023 0.862 0.861 0.861 0.919 === Confusion Matrix === a b c d e f g <-- classified as 421 4 3 1 12 23 5 | a = chest 7 367 30 2 7 21 33 | b = forearm 5 38 388 0 2 20 18 | c = head 2 1 3 455 3 3 1 | d = shin 18 0 1 5 411 21 12 | e = thigh 29 15 18 2 16 366 21 | f = upperarm 12 15 18 0 4 4 416 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2861 87.2522 % Incorrectly Classified Instances 418 12.7478 % Kappa statistic 0.8513 Mean absolute error 0.0364 Root mean squared error 0.1908 Relative absolute error 14.8724 % Root relative squared error 54.5389 % Total Number of Instances 3279 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.874 0.02 0.88 0.874 0.877 0.927 chest 0.814 0.026 0.841 0.814 0.827 0.894 forearm 0.881 0.032 0.82 0.881 0.85 0.924 head 0.983 0.001 0.994 0.983 0.988 0.991 shin 0.893 0.013 0.921 0.893 0.907 0.94 thigh 0.788 0.031 0.809 0.788 0.798 0.879 upperarm 0.874 0.026 0.849 0.874 0.861 0.924 waist Weighted Avg. 0.873 0.021 0.873 0.873 0.873 0.926 === Confusion Matrix === a b c d e f g <-- classified as 410 9 7 0 11 23 9 | a = chest 7 380 36 0 4 17 23 | b = forearm 3 23 415 1 0 23 6 | c = head 1 0 1 460 6 0 0 | d = shin 15 0 2 1 418 16 16 | e = thigh 25 19 25 1 10 368 19 | f = upperarm 5 21 20 0 5 8 410 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2817 85.9103 % Incorrectly Classified Instances 462 14.0897 % Kappa statistic 0.8356 Mean absolute error 0.0403 Root mean squared error 0.2006 Relative absolute error 16.438 % Root relative squared error 57.3375 % Total Number of Instances 3279 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.891 0.029 0.837 0.891 0.863 0.931 chest 0.773 0.028 0.822 0.773 0.797 0.873 forearm 0.837 0.03 0.823 0.837 0.83 0.903 head 0.979 0.002 0.989 0.979 0.984 0.988 shin 0.908 0.014 0.914 0.908 0.911 0.947 thigh 0.773 0.033 0.795 0.773 0.784 0.87 upperarm 0.853 0.028 0.833 0.853 0.843 0.912 waist Weighted Avg. 0.859 0.023 0.859 0.859 0.859 0.918 === Confusion Matrix === a b c d e f g <-- classified as 417 4 6 1 14 19 7 | a = chest 16 361 31 1 5 29 24 | b = forearm 9 28 395 0 1 21 18 | c = head 0 1 1 459 5 1 2 | d = shin 13 1 2 0 425 16 11 | e = thigh 32 20 26 1 9 361 18 | f = upperarm 11 24 19 2 6 7 399 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2849 86.8862 % Incorrectly Classified Instances 430 13.1138 % Kappa statistic 0.847 Mean absolute error 0.0375 Root mean squared error 0.1936 Relative absolute error 15.2994 % Root relative squared error 55.3162 % Total Number of Instances 3279 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.88 0.024 0.86 0.88 0.87 0.928 chest 0.792 0.023 0.85 0.792 0.82 0.884 forearm 0.892 0.033 0.819 0.892 0.854 0.929 head 0.977 0.002 0.987 0.977 0.982 0.987 shin 0.872 0.016 0.901 0.872 0.886 0.928 thigh 0.801 0.026 0.835 0.801 0.818 0.887 upperarm 0.868 0.028 0.835 0.868 0.851 0.92 waist Weighted Avg. 0.869 0.022 0.87 0.869 0.869 0.923 === Confusion Matrix === a b c d e f g <-- classified as 412 3 2 1 19 20 11 | a = chest 10 369 34 1 6 20 26 | b = forearm 2 27 421 0 1 13 8 | c = head 2 0 1 458 5 2 1 | d = shin 19 1 6 3 408 15 16 | e = thigh 22 20 22 1 10 375 18 | f = upperarm 12 14 28 0 4 4 406 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 2 FOLD: 0 Correctly Classified Instances 2824 86.0976 % Incorrectly Classified Instances 456 13.9024 % Kappa statistic 0.8378 Mean absolute error 0.0397 Root mean squared error 0.1993 Relative absolute error 16.2195 % Root relative squared error 56.9553 % Total Number of Instances 3280 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.868 0.024 0.857 0.868 0.862 0.922 chest 0.816 0.025 0.847 0.816 0.831 0.896 forearm 0.832 0.036 0.797 0.832 0.814 0.898 head 0.989 0.002 0.989 0.989 0.989 0.994 shin 0.874 0.015 0.907 0.874 0.89 0.93 thigh 0.782 0.033 0.796 0.782 0.789 0.874 upperarm 0.865 0.028 0.839 0.865 0.852 0.919 waist Weighted Avg. 0.861 0.023 0.862 0.861 0.861 0.919 === Confusion Matrix === a b c d e f g <-- classified as 407 5 7 0 18 23 9 | a = chest 9 381 30 2 7 20 18 | b = forearm 7 27 392 0 1 26 18 | c = head 1 2 1 463 1 0 0 | d = shin 21 1 1 1 410 21 14 | e = thigh 19 24 29 1 10 366 19 | f = upperarm 11 10 32 1 5 4 405 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2815 85.8232 % Incorrectly Classified Instances 465 14.1768 % Kappa statistic 0.8346 Mean absolute error 0.0405 Root mean squared error 0.2013 Relative absolute error 16.5397 % Root relative squared error 57.5146 % Total Number of Instances 3280 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.855 0.033 0.812 0.855 0.833 0.911 chest 0.812 0.026 0.84 0.812 0.826 0.893 forearm 0.862 0.028 0.839 0.862 0.85 0.917 head 0.979 0.002 0.987 0.979 0.983 0.988 shin 0.861 0.015 0.906 0.861 0.883 0.923 thigh 0.759 0.035 0.782 0.759 0.77 0.862 upperarm 0.88 0.027 0.846 0.88 0.863 0.927 waist Weighted Avg. 0.858 0.024 0.859 0.858 0.858 0.917 === Confusion Matrix === a b c d e f g <-- classified as 401 9 4 1 13 31 10 | a = chest 16 379 29 0 3 20 20 | b = forearm 6 28 406 1 2 20 8 | c = head 2 1 1 458 4 2 0 | d = shin 29 1 3 2 404 19 11 | e = thigh 30 18 23 1 15 355 26 | f = upperarm 10 15 18 1 5 7 412 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2815 85.8232 % Incorrectly Classified Instances 465 14.1768 % Kappa statistic 0.8346 Mean absolute error 0.0405 Root mean squared error 0.2013 Relative absolute error 16.5397 % Root relative squared error 57.5146 % Total Number of Instances 3280 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.872 0.023 0.865 0.872 0.868 0.925 chest 0.773 0.028 0.819 0.773 0.795 0.872 forearm 0.856 0.035 0.804 0.856 0.829 0.91 head 0.981 0.002 0.985 0.981 0.983 0.989 shin 0.868 0.014 0.913 0.868 0.89 0.927 thigh 0.799 0.033 0.803 0.799 0.801 0.883 upperarm 0.859 0.03 0.825 0.859 0.842 0.914 waist Weighted Avg. 0.858 0.024 0.859 0.858 0.858 0.917 === Confusion Matrix === a b c d e f g <-- classified as 409 10 4 2 9 25 10 | a = chest 7 361 40 1 5 24 29 | b = forearm 7 32 403 0 4 15 10 | c = head 1 0 2 459 5 1 0 | d = shin 19 2 2 2 407 20 17 | e = thigh 25 15 24 1 10 374 19 | f = upperarm 5 21 26 1 6 7 402 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2830 86.2805 % Incorrectly Classified Instances 450 13.7195 % Kappa statistic 0.8399 Mean absolute error 0.0392 Root mean squared error 0.198 Relative absolute error 16.0061 % Root relative squared error 56.5793 % Total Number of Instances 3280 === 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 0.933 chest 0.799 0.03 0.816 0.799 0.807 0.884 forearm 0.839 0.029 0.83 0.839 0.834 0.905 head 0.972 0.001 0.991 0.972 0.982 0.985 shin 0.883 0.011 0.928 0.883 0.905 0.936 thigh 0.793 0.031 0.81 0.793 0.801 0.881 upperarm 0.861 0.031 0.824 0.861 0.842 0.915 waist Weighted Avg. 0.863 0.023 0.864 0.863 0.863 0.92 === Confusion Matrix === a b c d e f g <-- classified as 419 8 8 0 9 19 6 | a = chest 8 373 32 2 7 16 29 | b = forearm 8 32 395 0 0 25 11 | c = head 1 2 2 455 2 1 5 | d = shin 15 2 3 0 414 18 17 | e = thigh 34 18 16 0 11 371 18 | f = upperarm 10 22 20 2 3 8 403 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2864 87.3171 % Incorrectly Classified Instances 416 12.6829 % Kappa statistic 0.852 Mean absolute error 0.0362 Root mean squared error 0.1904 Relative absolute error 14.7968 % Root relative squared error 54.3999 % Total Number of Instances 3280 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.902 0.022 0.874 0.902 0.888 0.94 chest 0.803 0.026 0.835 0.803 0.819 0.888 forearm 0.856 0.027 0.841 0.856 0.848 0.914 head 0.979 0.001 0.993 0.979 0.986 0.989 shin 0.904 0.017 0.9 0.904 0.902 0.944 thigh 0.782 0.03 0.815 0.782 0.798 0.876 upperarm 0.887 0.026 0.852 0.887 0.869 0.931 waist Weighted Avg. 0.873 0.021 0.873 0.873 0.873 0.926 === Confusion Matrix === a b c d e f g <-- classified as 423 3 5 0 20 15 3 | a = chest 6 375 38 2 3 21 22 | b = forearm 8 24 403 0 0 25 11 | c = head 2 0 0 458 4 2 2 | d = shin 15 1 2 0 424 15 12 | e = thigh 19 28 17 1 15 366 22 | f = upperarm 11 18 14 0 5 5 415 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2821 86.0061 % Incorrectly Classified Instances 459 13.9939 % Kappa statistic 0.8367 Mean absolute error 0.04 Root mean squared error 0.2 Relative absolute error 16.3262 % Root relative squared error 57.1423 % Total Number of Instances 3280 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.878 0.025 0.853 0.878 0.866 0.927 chest 0.771 0.031 0.804 0.771 0.787 0.87 forearm 0.86 0.031 0.825 0.86 0.842 0.915 head 0.981 0.004 0.975 0.981 0.978 0.988 shin 0.863 0.014 0.914 0.863 0.888 0.925 thigh 0.791 0.031 0.811 0.791 0.801 0.88 upperarm 0.876 0.028 0.84 0.876 0.858 0.924 waist Weighted Avg. 0.86 0.023 0.86 0.86 0.86 0.918 === Confusion Matrix === a b c d e f g <-- classified as 412 6 4 3 16 24 4 | a = chest 13 360 34 2 2 22 34 | b = forearm 3 32 405 0 1 19 11 | c = head 1 1 1 460 4 0 2 | d = shin 20 3 4 6 404 17 14 | e = thigh 23 22 31 1 8 370 13 | f = upperarm 11 24 12 0 7 4 410 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2819 85.9713 % Incorrectly Classified Instances 460 14.0287 % Kappa statistic 0.8363 Mean absolute error 0.0401 Root mean squared error 0.2002 Relative absolute error 16.3668 % Root relative squared error 57.2133 % Total Number of Instances 3279 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.878 0.026 0.848 0.878 0.863 0.926 chest 0.786 0.026 0.836 0.786 0.81 0.88 forearm 0.887 0.036 0.807 0.887 0.845 0.926 head 0.972 0.004 0.974 0.972 0.973 0.984 shin 0.897 0.013 0.919 0.897 0.908 0.942 thigh 0.76 0.032 0.8 0.76 0.779 0.864 upperarm 0.835 0.027 0.837 0.835 0.836 0.904 waist Weighted Avg. 0.86 0.023 0.86 0.86 0.859 0.918 === Confusion Matrix === a b c d e f g <-- classified as 412 4 6 3 13 21 10 | a = chest 10 367 37 3 8 19 23 | b = forearm 3 19 418 1 0 18 12 | c = head 2 2 3 456 2 2 2 | d = shin 11 3 4 1 420 15 14 | e = thigh 35 27 25 2 8 355 15 | f = upperarm 13 17 25 2 6 14 391 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2832 86.3678 % Incorrectly Classified Instances 447 13.6322 % Kappa statistic 0.841 Mean absolute error 0.0389 Root mean squared error 0.1974 Relative absolute error 15.9043 % Root relative squared error 56.399 % Total Number of Instances 3279 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.863 0.022 0.865 0.863 0.864 0.92 chest 0.769 0.025 0.839 0.769 0.802 0.872 forearm 0.86 0.031 0.822 0.86 0.84 0.914 head 0.974 0.002 0.987 0.974 0.981 0.986 shin 0.872 0.013 0.919 0.872 0.895 0.929 thigh 0.82 0.035 0.796 0.82 0.808 0.893 upperarm 0.887 0.031 0.827 0.887 0.856 0.928 waist Weighted Avg. 0.864 0.023 0.865 0.864 0.864 0.92 === Confusion Matrix === a b c d e f g <-- classified as 404 5 7 0 17 25 10 | a = chest 5 359 40 1 5 22 35 | b = forearm 6 24 405 0 1 23 12 | c = head 1 2 0 457 4 4 1 | d = shin 22 0 3 3 408 16 16 | e = thigh 20 18 23 2 8 383 13 | f = upperarm 9 20 15 0 1 8 416 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2812 85.7579 % Incorrectly Classified Instances 467 14.2421 % Kappa statistic 0.8338 Mean absolute error 0.0407 Root mean squared error 0.2017 Relative absolute error 16.6159 % Root relative squared error 57.647 % Total Number of Instances 3279 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.868 0.023 0.862 0.868 0.865 0.922 chest 0.76 0.03 0.807 0.76 0.783 0.865 forearm 0.841 0.031 0.822 0.841 0.831 0.905 head 0.966 0.002 0.985 0.966 0.975 0.982 shin 0.891 0.017 0.899 0.891 0.895 0.937 thigh 0.79 0.033 0.799 0.79 0.794 0.879 upperarm 0.887 0.03 0.832 0.887 0.859 0.929 waist Weighted Avg. 0.858 0.024 0.858 0.858 0.857 0.917 === Confusion Matrix === a b c d e f g <-- classified as 406 5 5 1 9 30 12 | a = chest 7 355 40 1 9 25 30 | b = forearm 3 41 397 0 2 19 10 | c = head 1 1 2 452 9 1 2 | d = shin 18 0 3 5 417 13 12 | e = thigh 28 24 18 0 10 369 18 | f = upperarm 8 14 18 0 8 5 416 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2809 85.6664 % Incorrectly Classified Instances 470 14.3336 % Kappa statistic 0.8328 Mean absolute error 0.041 Root mean squared error 0.2024 Relative absolute error 16.7226 % Root relative squared error 57.8318 % Total Number of Instances 3279 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.868 0.023 0.864 0.868 0.866 0.922 chest 0.79 0.026 0.833 0.79 0.811 0.882 forearm 0.86 0.031 0.822 0.86 0.841 0.914 head 0.97 0.002 0.989 0.97 0.98 0.984 shin 0.891 0.02 0.88 0.891 0.885 0.935 thigh 0.754 0.032 0.799 0.754 0.776 0.861 upperarm 0.864 0.033 0.813 0.864 0.838 0.915 waist Weighted Avg. 0.857 0.024 0.857 0.857 0.856 0.916 === Confusion Matrix === a b c d e f g <-- classified as 406 6 6 0 21 18 11 | a = chest 3 368 29 2 6 25 33 | b = forearm 3 22 406 1 0 30 10 | c = head 1 0 1 454 9 1 2 | d = shin 17 1 2 1 417 12 18 | e = thigh 29 23 25 1 18 353 19 | f = upperarm 11 22 25 0 3 3 405 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 3 FOLD: 0 Correctly Classified Instances 2826 86.1585 % Incorrectly Classified Instances 454 13.8415 % Kappa statistic 0.8385 Mean absolute error 0.0395 Root mean squared error 0.1989 Relative absolute error 16.1484 % Root relative squared error 56.8303 % Total Number of Instances 3280 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.844 0.022 0.867 0.844 0.855 0.911 chest 0.827 0.031 0.814 0.827 0.82 0.898 forearm 0.828 0.027 0.839 0.828 0.834 0.901 head 0.976 0.004 0.976 0.976 0.976 0.986 shin 0.891 0.015 0.91 0.891 0.901 0.938 thigh 0.794 0.033 0.8 0.794 0.797 0.881 upperarm 0.87 0.03 0.828 0.87 0.848 0.92 waist Weighted Avg. 0.862 0.023 0.862 0.862 0.862 0.919 === Confusion Matrix === a b c d e f g <-- classified as 396 9 9 3 10 33 9 | a = chest 4 386 27 3 8 18 21 | b = forearm 3 38 391 0 1 26 13 | c = head 1 0 3 457 5 2 0 | d = shin 15 0 1 1 417 12 22 | e = thigh 26 21 15 3 11 371 20 | f = upperarm 12 20 20 1 6 2 408 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2819 85.9451 % Incorrectly Classified Instances 461 14.0549 % Kappa statistic 0.836 Mean absolute error 0.0402 Root mean squared error 0.2004 Relative absolute error 16.3974 % Root relative squared error 57.2667 % Total Number of Instances 3280 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.863 0.023 0.863 0.863 0.863 0.92 chest 0.809 0.03 0.818 0.809 0.814 0.89 forearm 0.854 0.031 0.824 0.854 0.838 0.911 head 0.977 0.001 0.991 0.977 0.984 0.988 shin 0.861 0.012 0.922 0.861 0.891 0.925 thigh 0.784 0.038 0.774 0.784 0.779 0.873 upperarm 0.868 0.029 0.832 0.868 0.85 0.919 waist Weighted Avg. 0.859 0.023 0.861 0.859 0.86 0.918 === Confusion Matrix === a b c d e f g <-- classified as 404 10 2 1 11 28 12 | a = chest 6 378 39 0 4 21 19 | b = forearm 4 30 402 0 0 21 14 | c = head 1 1 1 458 5 1 2 | d = shin 20 1 1 1 404 27 15 | e = thigh 23 26 21 1 10 366 20 | f = upperarm 10 16 22 1 4 9 407 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2858 87.1341 % Incorrectly Classified Instances 422 12.8659 % Kappa statistic 0.8499 Mean absolute error 0.0368 Root mean squared error 0.1917 Relative absolute error 15.0102 % Root relative squared error 54.7908 % Total Number of Instances 3280 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.887 0.022 0.868 0.887 0.877 0.932 chest 0.809 0.024 0.849 0.809 0.829 0.893 forearm 0.875 0.03 0.832 0.875 0.853 0.923 head 0.97 0.001 0.991 0.97 0.981 0.984 shin 0.878 0.018 0.892 0.878 0.885 0.93 thigh 0.812 0.027 0.833 0.812 0.823 0.892 upperarm 0.868 0.028 0.837 0.868 0.852 0.92 waist Weighted Avg. 0.871 0.021 0.872 0.871 0.871 0.925 === Confusion Matrix === a b c d e f g <-- classified as 415 3 3 2 16 21 8 | a = chest 6 378 35 1 9 17 21 | b = forearm 7 19 412 0 1 20 12 | c = head 1 2 1 455 6 3 1 | d = shin 18 1 2 0 412 11 25 | e = thigh 20 26 20 0 10 380 12 | f = upperarm 11 16 22 1 8 4 406 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2804 85.4878 % Incorrectly Classified Instances 476 14.5122 % Kappa statistic 0.8307 Mean absolute error 0.0415 Root mean squared error 0.2036 Relative absolute error 16.9309 % Root relative squared error 58.1909 % Total Number of Instances 3280 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.882 0.024 0.859 0.882 0.87 0.929 chest 0.79 0.035 0.79 0.79 0.79 0.878 forearm 0.847 0.033 0.811 0.847 0.829 0.907 head 0.977 0.002 0.989 0.977 0.983 0.987 shin 0.866 0.013 0.919 0.866 0.891 0.926 thigh 0.774 0.032 0.801 0.774 0.787 0.871 upperarm 0.848 0.031 0.822 0.848 0.835 0.909 waist Weighted Avg. 0.855 0.024 0.856 0.855 0.855 0.915 === Confusion Matrix === a b c d e f g <-- classified as 413 9 6 0 11 19 10 | a = chest 9 369 36 2 3 21 27 | b = forearm 5 36 399 0 1 18 12 | c = head 0 0 2 458 6 0 3 | d = shin 23 1 3 2 406 20 14 | e = thigh 25 32 22 1 6 362 20 | f = upperarm 6 20 24 0 9 12 397 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2800 85.3659 % Incorrectly Classified Instances 480 14.6341 % Kappa statistic 0.8293 Mean absolute error 0.0418 Root mean squared error 0.2045 Relative absolute error 17.0732 % Root relative squared error 58.4349 % Total Number of Instances 3280 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.861 0.022 0.869 0.861 0.865 0.92 chest 0.805 0.034 0.795 0.805 0.8 0.885 forearm 0.839 0.034 0.804 0.839 0.821 0.902 head 0.974 0.003 0.983 0.974 0.979 0.986 shin 0.885 0.018 0.889 0.885 0.887 0.933 thigh 0.767 0.03 0.81 0.767 0.788 0.869 upperarm 0.844 0.029 0.828 0.844 0.836 0.907 waist Weighted Avg. 0.854 0.024 0.854 0.854 0.854 0.915 === Confusion Matrix === a b c d e f g <-- classified as 404 13 4 2 19 19 8 | a = chest 11 376 33 2 2 14 29 | b = forearm 2 35 395 1 0 23 15 | c = head 0 1 4 456 6 0 1 | d = shin 16 2 6 3 415 15 12 | e = thigh 24 22 28 0 18 359 17 | f = upperarm 8 24 21 0 7 13 395 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2838 86.5244 % Incorrectly Classified Instances 442 13.4756 % Kappa statistic 0.8428 Mean absolute error 0.0385 Root mean squared error 0.1962 Relative absolute error 15.7216 % Root relative squared error 56.0742 % Total Number of Instances 3280 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.864 0.021 0.873 0.864 0.868 0.921 chest 0.812 0.029 0.824 0.812 0.818 0.891 forearm 0.883 0.033 0.819 0.883 0.85 0.925 head 0.979 0.004 0.979 0.979 0.979 0.988 shin 0.881 0.014 0.914 0.881 0.897 0.933 thigh 0.776 0.032 0.801 0.776 0.788 0.872 upperarm 0.863 0.025 0.851 0.863 0.857 0.919 waist Weighted Avg. 0.865 0.022 0.866 0.865 0.865 0.921 === Confusion Matrix === a b c d e f g <-- classified as 405 7 9 1 15 22 10 | a = chest 5 379 34 3 6 18 22 | b = forearm 2 25 416 1 2 18 7 | c = head 1 2 0 458 1 3 3 | d = shin 19 0 3 4 413 20 10 | e = thigh 24 28 22 0 12 363 19 | f = upperarm 8 19 24 1 3 9 404 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2833 86.3983 % Incorrectly Classified Instances 446 13.6017 % Kappa statistic 0.8413 Mean absolute error 0.0389 Root mean squared error 0.1971 Relative absolute error 15.8687 % Root relative squared error 56.3359 % Total Number of Instances 3279 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.876 0.019 0.886 0.876 0.881 0.929 chest 0.782 0.032 0.8 0.782 0.791 0.875 forearm 0.854 0.035 0.804 0.854 0.828 0.909 head 0.974 0.002 0.989 0.974 0.982 0.986 shin 0.9 0.014 0.915 0.9 0.907 0.943 thigh 0.812 0.031 0.815 0.812 0.814 0.891 upperarm 0.85 0.026 0.843 0.85 0.847 0.912 waist Weighted Avg. 0.864 0.023 0.865 0.864 0.864 0.921 === Confusion Matrix === a b c d e f g <-- classified as 411 12 8 0 11 21 6 | a = chest 7 365 40 0 6 21 28 | b = forearm 6 32 402 1 2 17 11 | c = head 2 0 2 456 4 2 2 | d = shin 12 2 2 2 421 18 11 | e = thigh 19 19 21 1 12 380 16 | f = upperarm 7 26 25 1 4 7 398 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2842 86.6728 % Incorrectly Classified Instances 437 13.3272 % Kappa statistic 0.8445 Mean absolute error 0.0381 Root mean squared error 0.1951 Relative absolute error 15.5485 % Root relative squared error 55.7646 % Total Number of Instances 3279 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.868 0.023 0.862 0.868 0.865 0.922 chest 0.814 0.028 0.83 0.814 0.822 0.893 forearm 0.873 0.035 0.806 0.873 0.838 0.919 head 0.974 0.001 0.993 0.974 0.984 0.987 shin 0.876 0.014 0.915 0.876 0.895 0.931 thigh 0.778 0.03 0.814 0.778 0.796 0.874 upperarm 0.885 0.025 0.854 0.885 0.869 0.93 waist Weighted Avg. 0.867 0.022 0.868 0.867 0.867 0.922 === Confusion Matrix === a b c d e f g <-- classified as 407 6 4 0 18 26 8 | a = chest 7 380 31 1 5 19 24 | b = forearm 3 27 411 1 0 19 10 | c = head 1 3 5 456 1 2 0 | d = shin 20 2 8 0 410 15 13 | e = thigh 28 15 32 0 13 364 16 | f = upperarm 6 25 19 1 1 2 414 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2806 85.5749 % Incorrectly Classified Instances 473 14.4251 % Kappa statistic 0.8317 Mean absolute error 0.0412 Root mean squared error 0.203 Relative absolute error 16.8293 % Root relative squared error 58.0161 % Total Number of Instances 3279 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.874 0.026 0.849 0.874 0.861 0.924 chest 0.771 0.028 0.822 0.771 0.796 0.872 forearm 0.828 0.026 0.841 0.828 0.834 0.901 head 0.974 0.002 0.987 0.974 0.981 0.986 shin 0.885 0.015 0.91 0.885 0.897 0.935 thigh 0.767 0.042 0.754 0.767 0.761 0.863 upperarm 0.891 0.03 0.832 0.891 0.861 0.931 waist Weighted Avg. 0.856 0.024 0.856 0.856 0.856 0.916 === Confusion Matrix === a b c d e f g <-- classified as 410 7 5 1 12 24 10 | a = chest 11 360 26 1 7 33 29 | b = forearm 9 32 390 0 1 32 7 | c = head 2 1 1 456 4 2 2 | d = shin 12 2 4 1 414 19 16 | e = thigh 31 22 22 2 12 359 20 | f = upperarm 8 14 16 1 5 7 417 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2828 86.2458 % Incorrectly Classified Instances 451 13.7542 % Kappa statistic 0.8395 Mean absolute error 0.0393 Root mean squared error 0.1982 Relative absolute error 16.0466 % Root relative squared error 56.6508 % Total Number of Instances 3279 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.876 0.023 0.865 0.876 0.871 0.927 chest 0.781 0.031 0.807 0.781 0.794 0.875 forearm 0.847 0.029 0.832 0.847 0.839 0.909 head 0.979 0.002 0.989 0.979 0.984 0.988 shin 0.878 0.012 0.926 0.878 0.901 0.933 thigh 0.777 0.033 0.794 0.777 0.786 0.872 upperarm 0.898 0.031 0.829 0.898 0.862 0.933 waist Weighted Avg. 0.862 0.023 0.863 0.862 0.862 0.92 === Confusion Matrix === a b c d e f g <-- classified as 411 6 6 0 16 22 8 | a = chest 6 364 34 1 2 21 38 | b = forearm 4 28 400 1 2 28 9 | c = head 1 1 0 458 4 3 1 | d = shin 22 2 0 2 411 15 16 | e = thigh 27 32 23 0 7 363 15 | f = upperarm 4 18 18 1 2 5 421 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 4 FOLD: 0 Correctly Classified Instances 2843 86.6768 % Incorrectly Classified Instances 437 13.3232 % Kappa statistic 0.8446 Mean absolute error 0.0381 Root mean squared error 0.1951 Relative absolute error 15.5437 % Root relative squared error 55.7561 % Total Number of Instances 3280 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.87 0.022 0.87 0.87 0.87 0.924 chest 0.803 0.027 0.83 0.803 0.816 0.888 forearm 0.839 0.03 0.825 0.839 0.832 0.904 head 0.985 0.002 0.987 0.985 0.986 0.991 shin 0.902 0.018 0.892 0.902 0.897 0.942 thigh 0.797 0.036 0.787 0.797 0.792 0.881 upperarm 0.872 0.02 0.877 0.872 0.875 0.926 waist Weighted Avg. 0.867 0.022 0.867 0.867 0.867 0.922 === Confusion Matrix === a b c d e f g <-- classified as 408 6 2 0 20 28 5 | a = chest 6 375 38 2 5 22 19 | b = forearm 7 29 395 2 2 29 7 | c = head 1 2 1 462 2 0 1 | d = shin 11 1 3 1 422 16 14 | e = thigh 29 18 23 0 14 373 11 | f = upperarm 7 21 17 1 8 6 408 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2832 86.3415 % Incorrectly Classified Instances 448 13.6585 % Kappa statistic 0.8406 Mean absolute error 0.039 Root mean squared error 0.1975 Relative absolute error 15.935 % Root relative squared error 56.4535 % Total Number of Instances 3280 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.887 0.023 0.867 0.887 0.877 0.932 chest 0.784 0.026 0.834 0.784 0.808 0.879 forearm 0.868 0.036 0.802 0.868 0.834 0.916 head 0.974 0.002 0.989 0.974 0.982 0.986 shin 0.895 0.015 0.907 0.895 0.901 0.94 thigh 0.784 0.027 0.827 0.784 0.805 0.878 upperarm 0.85 0.03 0.824 0.85 0.837 0.91 waist Weighted Avg. 0.863 0.023 0.864 0.863 0.863 0.92 === Confusion Matrix === a b c d e f g <-- classified as 416 6 5 2 10 24 6 | a = chest 10 366 38 2 10 10 31 | b = forearm 4 26 409 0 1 21 10 | c = head 1 0 1 457 5 2 3 | d = shin 18 0 4 1 419 14 12 | e = thigh 21 17 29 0 11 367 23 | f = upperarm 10 24 24 0 6 6 398 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2822 86.0366 % Incorrectly Classified Instances 458 13.9634 % Kappa statistic 0.8371 Mean absolute error 0.0399 Root mean squared error 0.1997 Relative absolute error 16.2907 % Root relative squared error 57.0801 % Total Number of Instances 3280 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.844 0.024 0.855 0.844 0.85 0.91 chest 0.803 0.031 0.81 0.803 0.806 0.886 forearm 0.847 0.03 0.824 0.847 0.836 0.908 head 0.985 0.004 0.975 0.985 0.98 0.99 shin 0.891 0.014 0.913 0.891 0.902 0.939 thigh 0.776 0.031 0.805 0.776 0.79 0.872 upperarm 0.876 0.028 0.84 0.876 0.858 0.924 waist Weighted Avg. 0.86 0.023 0.86 0.86 0.86 0.919 === Confusion Matrix === a b c d e f g <-- classified as 396 9 9 1 19 24 11 | a = chest 9 375 27 2 7 23 24 | b = forearm 8 30 399 1 2 18 13 | c = head 0 1 1 461 3 1 1 | d = shin 14 2 3 8 418 15 9 | e = thigh 27 28 24 0 6 363 20 | f = upperarm 9 18 21 0 3 7 410 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2820 85.9756 % Incorrectly Classified Instances 460 14.0244 % Kappa statistic 0.8364 Mean absolute error 0.0401 Root mean squared error 0.2002 Relative absolute error 16.3618 % Root relative squared error 57.2046 % Total Number of Instances 3280 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.872 0.028 0.84 0.872 0.856 0.922 chest 0.814 0.026 0.841 0.814 0.827 0.894 forearm 0.862 0.035 0.807 0.862 0.834 0.914 head 0.979 0.001 0.991 0.979 0.985 0.989 shin 0.864 0.014 0.914 0.864 0.888 0.925 thigh 0.771 0.03 0.811 0.771 0.791 0.871 upperarm 0.857 0.031 0.822 0.857 0.839 0.913 waist Weighted Avg. 0.86 0.023 0.861 0.86 0.86 0.918 === Confusion Matrix === a b c d e f g <-- classified as 409 10 6 0 15 21 8 | a = chest 10 380 31 0 6 15 25 | b = forearm 4 25 406 1 2 18 15 | c = head 2 1 0 458 4 1 2 | d = shin 16 2 2 1 405 25 18 | e = thigh 30 17 32 1 8 361 19 | f = upperarm 16 17 26 1 3 4 401 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2855 87.0427 % Incorrectly Classified Instances 425 12.9573 % Kappa statistic 0.8488 Mean absolute error 0.037 Root mean squared error 0.1924 Relative absolute error 15.1169 % Root relative squared error 54.9852 % Total Number of Instances 3280 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.878 0.026 0.849 0.878 0.864 0.926 chest 0.801 0.021 0.866 0.801 0.832 0.89 forearm 0.862 0.038 0.79 0.862 0.824 0.912 head 0.974 0.002 0.989 0.974 0.982 0.986 shin 0.881 0.014 0.914 0.881 0.897 0.933 thigh 0.797 0.026 0.838 0.797 0.817 0.886 upperarm 0.9 0.025 0.857 0.9 0.878 0.937 waist Weighted Avg. 0.87 0.022 0.872 0.87 0.871 0.924 === Confusion Matrix === a b c d e f g <-- classified as 412 4 10 1 12 24 6 | a = chest 8 374 39 1 5 14 26 | b = forearm 2 32 406 1 1 20 9 | c = head 3 0 1 456 5 0 3 | d = shin 25 2 6 1 413 11 11 | e = thigh 26 13 28 0 13 373 15 | f = upperarm 9 7 24 1 3 3 421 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2811 85.7012 % Incorrectly Classified Instances 469 14.2988 % Kappa statistic 0.8332 Mean absolute error 0.0409 Root mean squared error 0.2021 Relative absolute error 16.6819 % Root relative squared error 57.7615 % Total Number of Instances 3280 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.855 0.022 0.864 0.855 0.86 0.916 chest 0.777 0.03 0.814 0.777 0.795 0.874 forearm 0.864 0.029 0.834 0.864 0.849 0.918 head 0.968 0.001 0.996 0.968 0.982 0.984 shin 0.881 0.015 0.908 0.881 0.894 0.933 thigh 0.782 0.041 0.761 0.782 0.771 0.871 upperarm 0.872 0.03 0.831 0.872 0.851 0.921 waist Weighted Avg. 0.857 0.024 0.858 0.857 0.857 0.917 === Confusion Matrix === a b c d e f g <-- classified as 401 3 7 0 16 30 12 | a = chest 12 363 32 1 4 28 27 | b = forearm 3 24 407 0 0 27 10 | c = head 2 3 3 453 3 3 1 | d = shin 19 2 2 0 413 18 15 | e = thigh 23 26 19 0 16 366 18 | f = upperarm 4 25 18 1 3 9 408 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2818 85.9408 % Incorrectly Classified Instances 461 14.0592 % Kappa statistic 0.836 Mean absolute error 0.0402 Root mean squared error 0.2004 Relative absolute error 16.4024 % Root relative squared error 57.2754 % Total Number of Instances 3279 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.878 0.03 0.831 0.878 0.854 0.924 chest 0.781 0.026 0.835 0.781 0.807 0.878 forearm 0.86 0.026 0.847 0.86 0.854 0.917 head 0.983 0.004 0.979 0.983 0.981 0.99 shin 0.874 0.015 0.905 0.874 0.889 0.929 thigh 0.784 0.034 0.79 0.784 0.787 0.875 upperarm 0.855 0.029 0.83 0.855 0.842 0.913 waist Weighted Avg. 0.859 0.023 0.86 0.859 0.859 0.918 === Confusion Matrix === a b c d e f g <-- classified as 412 6 5 1 12 25 8 | a = chest 7 364 30 2 6 27 30 | b = forearm 8 27 405 0 0 22 9 | c = head 0 1 3 460 2 2 0 | d = shin 18 1 1 4 410 13 22 | e = thigh 32 24 17 2 13 366 13 | f = upperarm 19 13 17 1 10 8 401 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2829 86.2763 % Incorrectly Classified Instances 450 13.7237 % Kappa statistic 0.8399 Mean absolute error 0.0392 Root mean squared error 0.198 Relative absolute error 16.011 % Root relative squared error 56.588 % Total Number of Instances 3279 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.895 0.023 0.866 0.895 0.88 0.936 chest 0.76 0.025 0.835 0.76 0.796 0.868 forearm 0.86 0.03 0.829 0.86 0.844 0.915 head 0.979 0.002 0.989 0.979 0.984 0.988 shin 0.876 0.016 0.903 0.876 0.889 0.93 thigh 0.799 0.034 0.797 0.799 0.798 0.882 upperarm 0.87 0.031 0.824 0.87 0.846 0.919 waist Weighted Avg. 0.863 0.023 0.863 0.863 0.863 0.92 === Confusion Matrix === a b c d e f g <-- classified as 419 2 5 1 16 19 6 | a = chest 10 355 38 1 5 25 33 | b = forearm 5 28 406 0 1 20 12 | c = head 1 1 2 458 5 0 1 | d = shin 17 1 2 1 410 23 14 | e = thigh 22 16 22 1 12 373 21 | f = upperarm 10 22 15 1 5 8 408 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2829 86.2763 % Incorrectly Classified Instances 450 13.7237 % Kappa statistic 0.8399 Mean absolute error 0.0392 Root mean squared error 0.198 Relative absolute error 16.011 % Root relative squared error 56.588 % Total Number of Instances 3279 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.902 0.023 0.867 0.902 0.884 0.939 chest 0.812 0.029 0.824 0.812 0.818 0.891 forearm 0.843 0.033 0.811 0.843 0.827 0.905 head 0.968 0.004 0.978 0.968 0.973 0.982 shin 0.87 0.013 0.919 0.87 0.894 0.928 thigh 0.79 0.035 0.788 0.79 0.789 0.877 upperarm 0.855 0.023 0.859 0.855 0.857 0.916 waist Weighted Avg. 0.863 0.023 0.864 0.863 0.863 0.92 === Confusion Matrix === a b c d e f g <-- classified as 422 1 5 3 8 21 8 | a = chest 7 379 32 3 4 24 18 | b = forearm 9 29 398 0 2 24 10 | c = head 2 0 3 453 9 1 0 | d = shin 20 0 1 4 407 17 19 | e = thigh 20 28 28 0 11 369 11 | f = upperarm 7 23 24 0 2 12 401 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2794 85.2089 % Incorrectly Classified Instances 485 14.7911 % Kappa statistic 0.8274 Mean absolute error 0.0423 Root mean squared error 0.2056 Relative absolute error 17.2563 % Root relative squared error 58.7474 % Total Number of Instances 3279 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.859 0.026 0.848 0.859 0.854 0.917 chest 0.779 0.029 0.816 0.779 0.797 0.875 forearm 0.847 0.036 0.798 0.847 0.822 0.906 head 0.955 0.002 0.985 0.955 0.97 0.976 shin 0.876 0.013 0.917 0.876 0.896 0.931 thigh 0.778 0.037 0.776 0.778 0.777 0.87 upperarm 0.87 0.029 0.834 0.87 0.851 0.92 waist Weighted Avg. 0.852 0.025 0.853 0.852 0.852 0.914 === Confusion Matrix === a b c d e f g <-- classified as 402 8 6 1 12 23 16 | a = chest 5 364 40 2 2 29 25 | b = forearm 4 35 399 0 0 21 12 | c = head 1 2 3 448 6 4 5 | d = shin 22 3 4 1 410 20 8 | e = thigh 34 18 23 2 12 364 15 | f = upperarm 6 16 25 1 5 8 407 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 5 FOLD: 0 Correctly Classified Instances 2822 86.0366 % Incorrectly Classified Instances 458 13.9634 % Kappa statistic 0.8371 Mean absolute error 0.0399 Root mean squared error 0.1997 Relative absolute error 16.2907 % Root relative squared error 57.0801 % Total Number of Instances 3280 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.883 0.026 0.85 0.883 0.866 0.928 chest 0.79 0.035 0.788 0.79 0.789 0.877 forearm 0.816 0.03 0.821 0.816 0.818 0.893 head 0.97 0.001 0.991 0.97 0.981 0.984 shin 0.893 0.013 0.921 0.893 0.907 0.94 thigh 0.79 0.033 0.8 0.79 0.795 0.879 upperarm 0.881 0.025 0.855 0.881 0.868 0.928 waist Weighted Avg. 0.86 0.023 0.861 0.86 0.861 0.919 === Confusion Matrix === a b c d e f g <-- classified as 414 4 4 1 11 27 8 | a = chest 7 369 36 2 6 22 25 | b = forearm 6 43 385 0 3 20 15 | c = head 2 3 3 454 5 1 0 | d = shin 23 2 3 1 418 13 8 | e = thigh 25 32 20 0 7 369 14 | f = upperarm 10 15 18 0 4 9 413 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2819 85.9451 % Incorrectly Classified Instances 461 14.0549 % Kappa statistic 0.836 Mean absolute error 0.0402 Root mean squared error 0.2004 Relative absolute error 16.3974 % Root relative squared error 57.2667 % Total Number of Instances 3280 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.849 0.019 0.882 0.849 0.865 0.915 chest 0.792 0.027 0.83 0.792 0.811 0.883 forearm 0.869 0.034 0.812 0.869 0.839 0.917 head 0.979 0.002 0.985 0.979 0.982 0.988 shin 0.893 0.015 0.911 0.893 0.902 0.939 thigh 0.779 0.035 0.788 0.779 0.784 0.872 upperarm 0.855 0.032 0.815 0.855 0.835 0.911 waist Weighted Avg. 0.859 0.023 0.86 0.859 0.86 0.918 === Confusion Matrix === a b c d e f g <-- classified as 398 10 5 3 16 30 7 | a = chest 11 370 27 1 6 20 32 | b = forearm 3 22 410 1 1 19 16 | c = head 0 0 6 458 3 1 0 | d = shin 10 1 1 1 418 20 17 | e = thigh 21 22 30 1 10 364 19 | f = upperarm 8 21 26 0 5 8 401 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2824 86.0976 % Incorrectly Classified Instances 456 13.9024 % Kappa statistic 0.8378 Mean absolute error 0.0397 Root mean squared error 0.1993 Relative absolute error 16.2195 % Root relative squared error 56.9553 % Total Number of Instances 3280 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.832 0.021 0.871 0.832 0.851 0.905 chest 0.8 0.029 0.82 0.8 0.81 0.886 forearm 0.873 0.033 0.814 0.873 0.842 0.92 head 0.979 0.002 0.987 0.979 0.983 0.988 shin 0.9 0.016 0.901 0.9 0.901 0.942 thigh 0.763 0.032 0.8 0.763 0.781 0.866 upperarm 0.881 0.029 0.836 0.881 0.858 0.926 waist Weighted Avg. 0.861 0.023 0.861 0.861 0.861 0.919 === Confusion Matrix === a b c d e f g <-- classified as 390 12 8 1 20 22 16 | a = chest 7 373 35 0 4 22 25 | b = forearm 3 24 411 1 1 21 10 | c = head 0 2 2 459 2 1 3 | d = shin 18 1 1 1 421 15 11 | e = thigh 27 25 29 1 13 357 16 | f = upperarm 3 18 19 2 6 8 413 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2817 85.8841 % Incorrectly Classified Instances 463 14.1159 % Kappa statistic 0.8353 Mean absolute error 0.0403 Root mean squared error 0.2008 Relative absolute error 16.4685 % Root relative squared error 57.3908 % Total Number of Instances 3280 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.898 0.026 0.852 0.898 0.874 0.936 chest 0.786 0.027 0.83 0.786 0.807 0.88 forearm 0.841 0.035 0.803 0.841 0.822 0.903 head 0.968 0.001 0.991 0.968 0.98 0.983 shin 0.878 0.013 0.917 0.878 0.897 0.933 thigh 0.776 0.032 0.803 0.776 0.789 0.872 upperarm 0.865 0.031 0.822 0.865 0.843 0.917 waist Weighted Avg. 0.859 0.024 0.86 0.859 0.859 0.918 === Confusion Matrix === a b c d e f g <-- classified as 421 5 5 0 11 17 10 | a = chest 8 367 37 2 4 23 26 | b = forearm 6 30 396 1 0 25 13 | c = head 3 2 4 454 3 1 2 | d = shin 20 0 2 1 411 17 17 | e = thigh 24 20 25 0 16 363 20 | f = upperarm 12 18 24 0 3 6 405 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2813 85.7622 % Incorrectly Classified Instances 467 14.2378 % Kappa statistic 0.8339 Mean absolute error 0.0407 Root mean squared error 0.2017 Relative absolute error 16.6108 % Root relative squared error 57.6382 % Total Number of Instances 3280 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.855 0.023 0.862 0.855 0.859 0.916 chest 0.782 0.026 0.831 0.782 0.806 0.878 forearm 0.864 0.034 0.809 0.864 0.836 0.915 head 0.979 0.004 0.975 0.979 0.977 0.987 shin 0.868 0.014 0.914 0.868 0.89 0.927 thigh 0.788 0.031 0.809 0.788 0.799 0.879 upperarm 0.868 0.034 0.809 0.868 0.837 0.917 waist Weighted Avg. 0.858 0.024 0.859 0.858 0.858 0.917 === Confusion Matrix === a b c d e f g <-- classified as 401 12 8 3 9 24 12 | a = chest 9 365 36 3 4 21 29 | b = forearm 4 26 407 0 0 18 16 | c = head 1 1 1 459 4 1 2 | d = shin 19 0 7 3 406 18 15 | e = thigh 26 17 22 2 10 369 22 | f = upperarm 5 18 22 1 11 5 406 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2783 84.8476 % Incorrectly Classified Instances 497 15.1524 % Kappa statistic 0.8232 Mean absolute error 0.0433 Root mean squared error 0.2081 Relative absolute error 17.6779 % Root relative squared error 59.4607 % Total Number of Instances 3280 === 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 0.913 chest 0.786 0.026 0.836 0.786 0.81 0.88 forearm 0.875 0.039 0.791 0.875 0.831 0.918 head 0.966 0.002 0.987 0.966 0.976 0.982 shin 0.859 0.018 0.886 0.859 0.872 0.92 thigh 0.752 0.036 0.779 0.752 0.765 0.858 upperarm 0.844 0.026 0.846 0.844 0.845 0.909 waist Weighted Avg. 0.848 0.025 0.85 0.848 0.849 0.912 === Confusion Matrix === a b c d e f g <-- classified as 402 4 8 0 19 29 7 | a = chest 11 367 38 3 9 20 19 | b = forearm 5 20 412 0 0 20 14 | c = head 2 1 2 452 7 4 0 | d = shin 24 1 2 1 403 21 17 | e = thigh 33 25 33 0 10 352 15 | f = upperarm 11 21 26 2 7 6 395 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2830 86.3068 % Incorrectly Classified Instances 449 13.6932 % Kappa statistic 0.8402 Mean absolute error 0.0391 Root mean squared error 0.1978 Relative absolute error 15.9754 % Root relative squared error 56.5251 % Total Number of Instances 3279 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.87 0.02 0.881 0.87 0.875 0.925 chest 0.801 0.031 0.81 0.801 0.805 0.885 forearm 0.86 0.036 0.8 0.86 0.829 0.912 head 0.97 0.002 0.989 0.97 0.98 0.984 shin 0.872 0.016 0.899 0.872 0.885 0.928 thigh 0.793 0.029 0.821 0.793 0.807 0.882 upperarm 0.876 0.026 0.849 0.876 0.862 0.925 waist Weighted Avg. 0.863 0.023 0.864 0.863 0.863 0.92 === Confusion Matrix === a b c d e f g <-- classified as 407 9 7 1 16 22 6 | a = chest 5 374 42 1 4 16 25 | b = forearm 5 36 405 1 2 14 8 | c = head 0 0 1 454 9 2 2 | d = shin 17 4 4 0 409 20 15 | e = thigh 23 18 26 2 11 371 17 | f = upperarm 5 21 21 0 4 7 410 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2821 86.0323 % Incorrectly Classified Instances 458 13.9677 % Kappa statistic 0.837 Mean absolute error 0.0399 Root mean squared error 0.1998 Relative absolute error 16.2956 % Root relative squared error 57.0888 % Total Number of Instances 3279 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.878 0.018 0.888 0.878 0.883 0.93 chest 0.775 0.03 0.813 0.775 0.794 0.873 forearm 0.87 0.033 0.817 0.87 0.843 0.919 head 0.976 0.002 0.985 0.976 0.981 0.987 shin 0.872 0.023 0.865 0.872 0.868 0.925 thigh 0.778 0.027 0.829 0.778 0.803 0.876 upperarm 0.872 0.03 0.828 0.872 0.849 0.921 waist Weighted Avg. 0.86 0.023 0.861 0.86 0.86 0.919 === Confusion Matrix === a b c d e f g <-- classified as 411 6 4 0 19 22 6 | a = chest 4 362 40 1 11 20 29 | b = forearm 5 29 410 0 1 14 12 | c = head 0 0 1 457 7 0 3 | d = shin 19 1 5 4 409 15 16 | e = thigh 18 23 26 1 17 364 19 | f = upperarm 6 24 16 1 9 4 408 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2878 87.7707 % Incorrectly Classified Instances 401 12.2293 % Kappa statistic 0.8573 Mean absolute error 0.0349 Root mean squared error 0.1869 Relative absolute error 14.2676 % Root relative squared error 53.4183 % Total Number of Instances 3279 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.878 0.022 0.869 0.878 0.874 0.928 chest 0.82 0.023 0.857 0.82 0.838 0.899 forearm 0.862 0.029 0.834 0.862 0.848 0.917 head 0.989 0.002 0.985 0.989 0.987 0.993 shin 0.887 0.012 0.927 0.887 0.906 0.938 thigh 0.827 0.03 0.822 0.827 0.824 0.899 upperarm 0.88 0.025 0.855 0.88 0.867 0.928 waist Weighted Avg. 0.878 0.02 0.878 0.878 0.878 0.929 === Confusion Matrix === a b c d e f g <-- classified as 411 7 4 2 13 25 6 | a = chest 5 383 32 1 4 14 28 | b = forearm 3 29 406 0 3 27 3 | c = head 1 0 0 463 3 0 1 | d = shin 18 2 1 2 416 14 16 | e = thigh 23 14 22 1 5 387 16 | f = upperarm 12 12 22 1 5 4 412 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2841 86.6423 % Incorrectly Classified Instances 438 13.3577 % Kappa statistic 0.8442 Mean absolute error 0.0382 Root mean squared error 0.1954 Relative absolute error 15.584 % Root relative squared error 55.8284 % Total Number of Instances 3279 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.883 0.02 0.879 0.883 0.881 0.931 chest 0.788 0.021 0.86 0.788 0.822 0.883 forearm 0.856 0.03 0.826 0.856 0.84 0.913 head 0.981 0.004 0.979 0.981 0.98 0.989 shin 0.878 0.015 0.907 0.878 0.893 0.932 thigh 0.797 0.037 0.782 0.797 0.789 0.88 upperarm 0.882 0.028 0.838 0.882 0.86 0.927 waist Weighted Avg. 0.866 0.022 0.867 0.866 0.866 0.922 === Confusion Matrix === a b c d e f g <-- classified as 414 5 7 1 14 18 10 | a = chest 7 368 29 1 8 30 24 | b = forearm 5 25 403 1 0 28 9 | c = head 0 1 2 459 3 2 1 | d = shin 15 1 3 5 412 18 15 | e = thigh 24 16 19 2 13 372 21 | f = upperarm 6 12 25 0 4 8 413 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 6 FOLD: 0 Correctly Classified Instances 2823 86.0671 % Incorrectly Classified Instances 457 13.9329 % Kappa statistic 0.8374 Mean absolute error 0.0398 Root mean squared error 0.1995 Relative absolute error 16.2551 % Root relative squared error 57.0177 % Total Number of Instances 3280 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.889 0.026 0.853 0.889 0.871 0.932 chest 0.764 0.029 0.813 0.764 0.788 0.868 forearm 0.86 0.031 0.825 0.86 0.842 0.915 head 0.974 0.001 0.996 0.974 0.985 0.987 shin 0.87 0.015 0.908 0.87 0.889 0.928 thigh 0.786 0.032 0.805 0.786 0.796 0.877 upperarm 0.881 0.03 0.829 0.881 0.854 0.925 waist Weighted Avg. 0.861 0.023 0.861 0.861 0.861 0.919 === Confusion Matrix === a b c d e f g <-- classified as 417 7 4 1 11 21 8 | a = chest 14 357 42 1 8 19 26 | b = forearm 5 24 405 0 1 24 12 | c = head 2 1 3 456 2 1 3 | d = shin 20 3 4 0 407 19 15 | e = thigh 26 26 15 0 12 368 21 | f = upperarm 5 21 18 0 7 5 413 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2823 86.0671 % Incorrectly Classified Instances 457 13.9329 % Kappa statistic 0.8374 Mean absolute error 0.0398 Root mean squared error 0.1995 Relative absolute error 16.2551 % Root relative squared error 57.0177 % Total Number of Instances 3280 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.881 0.027 0.846 0.881 0.863 0.927 chest 0.779 0.027 0.829 0.779 0.804 0.876 forearm 0.845 0.032 0.816 0.845 0.83 0.906 head 0.976 0.002 0.989 0.976 0.983 0.987 shin 0.91 0.015 0.908 0.91 0.909 0.947 thigh 0.769 0.035 0.786 0.769 0.778 0.867 upperarm 0.864 0.025 0.851 0.864 0.857 0.919 waist Weighted Avg. 0.861 0.023 0.861 0.861 0.86 0.919 === Confusion Matrix === a b c d e f g <-- classified as 413 4 7 0 16 25 4 | a = chest 6 364 41 2 4 26 24 | b = forearm 4 32 398 2 2 26 7 | c = head 1 1 0 457 5 2 2 | d = shin 17 1 1 0 426 12 11 | e = thigh 34 20 23 1 7 360 23 | f = upperarm 13 17 18 0 9 7 405 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2799 85.3354 % Incorrectly Classified Instances 481 14.6646 % Kappa statistic 0.8289 Mean absolute error 0.0419 Root mean squared error 0.2047 Relative absolute error 17.1088 % Root relative squared error 58.4957 % Total Number of Instances 3280 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.851 0.026 0.847 0.851 0.849 0.913 chest 0.758 0.021 0.855 0.758 0.804 0.868 forearm 0.837 0.036 0.796 0.837 0.816 0.9 head 0.979 0.002 0.987 0.979 0.983 0.988 shin 0.891 0.017 0.895 0.891 0.893 0.937 thigh 0.759 0.036 0.777 0.759 0.768 0.861 upperarm 0.9 0.032 0.823 0.9 0.859 0.934 waist Weighted Avg. 0.853 0.024 0.854 0.853 0.853 0.914 === Confusion Matrix === a b c d e f g <-- classified as 399 5 8 1 23 20 13 | a = chest 12 354 39 0 7 22 33 | b = forearm 6 25 394 0 2 31 13 | c = head 1 0 3 458 4 1 1 | d = shin 12 0 3 2 417 21 13 | e = thigh 36 19 28 0 12 355 18 | f = upperarm 5 11 20 3 1 7 422 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2833 86.372 % Incorrectly Classified Instances 447 13.628 % Kappa statistic 0.841 Mean absolute error 0.0389 Root mean squared error 0.1973 Relative absolute error 15.8994 % Root relative squared error 56.3904 % Total Number of Instances 3280 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.876 0.022 0.871 0.876 0.874 0.927 chest 0.829 0.032 0.811 0.829 0.82 0.898 forearm 0.845 0.03 0.826 0.845 0.835 0.908 head 0.976 0.002 0.985 0.976 0.981 0.987 shin 0.861 0.012 0.922 0.861 0.891 0.925 thigh 0.801 0.039 0.775 0.801 0.788 0.881 upperarm 0.857 0.022 0.866 0.857 0.861 0.917 waist Weighted Avg. 0.864 0.023 0.865 0.864 0.864 0.921 === Confusion Matrix === a b c d e f g <-- classified as 411 10 3 0 10 31 4 | a = chest 4 387 32 3 3 15 23 | b = forearm 4 32 398 0 0 29 8 | c = head 1 1 2 457 7 0 0 | d = shin 20 1 1 3 404 26 14 | e = thigh 21 22 28 1 8 375 13 | f = upperarm 11 24 18 0 6 8 401 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2815 85.8232 % Incorrectly Classified Instances 465 14.1768 % Kappa statistic 0.8346 Mean absolute error 0.0405 Root mean squared error 0.2013 Relative absolute error 16.5397 % Root relative squared error 57.5146 % Total Number of Instances 3280 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.866 0.027 0.844 0.866 0.855 0.919 chest 0.792 0.027 0.83 0.792 0.811 0.883 forearm 0.854 0.035 0.802 0.854 0.827 0.909 head 0.972 0.002 0.989 0.972 0.981 0.985 shin 0.885 0.017 0.894 0.885 0.89 0.934 thigh 0.764 0.028 0.821 0.764 0.792 0.868 upperarm 0.874 0.03 0.831 0.874 0.852 0.922 waist Weighted Avg. 0.858 0.024 0.859 0.858 0.858 0.917 === Confusion Matrix === a b c d e f g <-- classified as 406 5 6 0 21 25 6 | a = chest 10 370 40 0 5 22 20 | b = forearm 7 31 402 0 0 17 14 | c = head 1 1 1 456 5 2 3 | d = shin 23 0 3 2 415 8 18 | e = thigh 26 22 25 2 13 357 22 | f = upperarm 8 17 24 1 5 4 409 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2819 85.9451 % Incorrectly Classified Instances 461 14.0549 % Kappa statistic 0.836 Mean absolute error 0.0402 Root mean squared error 0.2004 Relative absolute error 16.3974 % Root relative squared error 57.2667 % Total Number of Instances 3280 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.846 0.022 0.867 0.846 0.856 0.912 chest 0.771 0.023 0.849 0.771 0.808 0.874 forearm 0.879 0.035 0.809 0.879 0.843 0.922 head 0.974 0.001 0.991 0.974 0.983 0.986 shin 0.904 0.018 0.893 0.904 0.898 0.943 thigh 0.777 0.03 0.81 0.777 0.793 0.874 upperarm 0.863 0.035 0.805 0.863 0.833 0.914 waist Weighted Avg. 0.859 0.023 0.861 0.859 0.859 0.918 === Confusion Matrix === a b c d e f g <-- classified as 396 3 10 0 20 28 11 | a = chest 8 360 33 1 5 22 38 | b = forearm 5 22 415 0 1 16 13 | c = head 2 2 3 457 3 1 1 | d = shin 14 2 4 2 424 11 12 | e = thigh 24 18 24 0 15 363 23 | f = upperarm 8 17 24 1 7 7 404 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2861 87.2522 % Incorrectly Classified Instances 418 12.7478 % Kappa statistic 0.8513 Mean absolute error 0.0364 Root mean squared error 0.1908 Relative absolute error 14.8724 % Root relative squared error 54.5389 % Total Number of Instances 3279 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.887 0.017 0.894 0.887 0.891 0.935 chest 0.828 0.028 0.83 0.828 0.829 0.9 forearm 0.847 0.028 0.837 0.847 0.842 0.91 head 0.981 0.003 0.983 0.981 0.982 0.989 shin 0.874 0.013 0.919 0.874 0.896 0.931 thigh 0.794 0.025 0.843 0.794 0.818 0.885 upperarm 0.895 0.035 0.809 0.895 0.85 0.93 waist Weighted Avg. 0.873 0.021 0.874 0.873 0.873 0.926 === Confusion Matrix === a b c d e f g <-- classified as 415 8 5 3 11 14 12 | a = chest 4 386 28 0 6 15 27 | b = forearm 5 31 400 0 2 18 16 | c = head 0 3 0 460 4 1 1 | d = shin 12 4 3 5 410 15 20 | e = thigh 23 18 23 0 9 371 23 | f = upperarm 5 15 19 0 4 6 419 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2830 86.3068 % Incorrectly Classified Instances 449 13.6932 % Kappa statistic 0.8402 Mean absolute error 0.0391 Root mean squared error 0.1978 Relative absolute error 15.9754 % Root relative squared error 56.5251 % Total Number of Instances 3279 === 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 0.924 chest 0.814 0.029 0.824 0.814 0.819 0.892 forearm 0.881 0.028 0.842 0.881 0.861 0.927 head 0.983 0.005 0.968 0.983 0.976 0.989 shin 0.849 0.015 0.907 0.849 0.877 0.917 thigh 0.799 0.03 0.815 0.799 0.807 0.884 upperarm 0.844 0.028 0.832 0.844 0.838 0.908 waist Weighted Avg. 0.863 0.023 0.863 0.863 0.863 0.92 === Confusion Matrix === a b c d e f g <-- classified as 408 4 7 2 15 19 13 | a = chest 4 380 29 2 4 23 25 | b = forearm 4 27 415 2 1 13 9 | c = head 0 0 1 460 3 3 1 | d = shin 26 1 1 5 398 22 16 | e = thigh 25 19 22 2 10 374 16 | f = upperarm 10 30 18 2 8 5 395 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2840 86.6118 % Incorrectly Classified Instances 439 13.3882 % Kappa statistic 0.8438 Mean absolute error 0.0383 Root mean squared error 0.1956 Relative absolute error 15.6196 % Root relative squared error 55.8921 % Total Number of Instances 3279 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.885 0.019 0.885 0.885 0.885 0.933 chest 0.788 0.03 0.816 0.788 0.802 0.879 forearm 0.832 0.029 0.827 0.832 0.83 0.902 head 0.974 0.002 0.987 0.974 0.981 0.986 shin 0.902 0.016 0.904 0.902 0.903 0.943 thigh 0.81 0.031 0.813 0.81 0.812 0.889 upperarm 0.872 0.029 0.833 0.872 0.852 0.921 waist Weighted Avg. 0.866 0.022 0.866 0.866 0.866 0.922 === Confusion Matrix === a b c d e f g <-- classified as 415 8 4 1 10 23 8 | a = chest 9 368 31 3 8 19 29 | b = forearm 9 31 392 0 2 25 12 | c = head 1 3 0 456 6 2 0 | d = shin 13 1 4 1 422 12 15 | e = thigh 16 22 17 1 15 379 18 | f = upperarm 6 18 26 0 4 6 408 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2808 85.6359 % Incorrectly Classified Instances 471 14.3641 % Kappa statistic 0.8324 Mean absolute error 0.041 Root mean squared error 0.2026 Relative absolute error 16.7582 % Root relative squared error 57.8933 % Total Number of Instances 3279 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.891 0.025 0.857 0.891 0.874 0.933 chest 0.777 0.028 0.819 0.777 0.798 0.874 forearm 0.868 0.031 0.826 0.868 0.847 0.919 head 0.966 0.002 0.987 0.966 0.976 0.982 shin 0.874 0.016 0.903 0.874 0.888 0.929 thigh 0.763 0.036 0.779 0.763 0.771 0.863 upperarm 0.855 0.03 0.826 0.855 0.84 0.912 waist Weighted Avg. 0.856 0.024 0.857 0.856 0.856 0.916 === Confusion Matrix === a b c d e f g <-- classified as 418 8 3 2 8 25 5 | a = chest 7 363 26 2 8 27 34 | b = forearm 6 23 409 0 1 21 11 | c = head 3 2 3 452 5 1 2 | d = shin 17 1 4 0 409 17 20 | e = thigh 23 27 31 2 16 357 12 | f = upperarm 14 19 19 0 6 10 400 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 7 FOLD: 0 Correctly Classified Instances 2799 85.3354 % Incorrectly Classified Instances 481 14.6646 % Kappa statistic 0.8289 Mean absolute error 0.0419 Root mean squared error 0.2047 Relative absolute error 17.1088 % Root relative squared error 58.4958 % Total Number of Instances 3280 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.885 0.026 0.85 0.885 0.867 0.929 chest 0.79 0.023 0.848 0.79 0.818 0.883 forearm 0.864 0.037 0.795 0.864 0.828 0.914 head 0.97 0.002 0.989 0.97 0.98 0.984 shin 0.864 0.02 0.877 0.864 0.87 0.922 thigh 0.754 0.033 0.79 0.754 0.772 0.86 upperarm 0.846 0.029 0.831 0.846 0.838 0.909 waist Weighted Avg. 0.853 0.024 0.854 0.853 0.853 0.914 === Confusion Matrix === a b c d e f g <-- classified as 414 6 6 2 15 22 3 | a = chest 8 368 32 1 6 24 27 | b = forearm 3 26 408 0 1 22 12 | c = head 1 0 3 454 8 1 1 | d = shin 19 1 4 2 405 18 20 | e = thigh 26 21 32 0 18 353 18 | f = upperarm 16 12 28 0 9 7 397 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2809 85.6402 % Incorrectly Classified Instances 471 14.3598 % Kappa statistic 0.8325 Mean absolute error 0.041 Root mean squared error 0.2026 Relative absolute error 16.7531 % Root relative squared error 57.8845 % Total Number of Instances 3280 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.87 0.022 0.868 0.87 0.869 0.924 chest 0.767 0.031 0.804 0.767 0.785 0.868 forearm 0.856 0.037 0.796 0.856 0.825 0.909 head 0.981 0.001 0.994 0.981 0.987 0.99 shin 0.885 0.014 0.916 0.885 0.9 0.936 thigh 0.771 0.031 0.808 0.771 0.789 0.87 upperarm 0.866 0.033 0.815 0.866 0.84 0.916 waist Weighted Avg. 0.856 0.024 0.857 0.856 0.856 0.916 === Confusion Matrix === a b c d e f g <-- classified as 407 9 9 1 16 20 6 | a = chest 6 358 37 0 4 32 30 | b = forearm 4 33 403 0 2 17 12 | c = head 2 0 3 459 4 0 0 | d = shin 15 2 3 0 415 10 24 | e = thigh 24 28 24 0 11 361 20 | f = upperarm 11 15 27 2 1 7 406 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2809 85.6402 % Incorrectly Classified Instances 471 14.3598 % Kappa statistic 0.8325 Mean absolute error 0.041 Root mean squared error 0.2026 Relative absolute error 16.7531 % Root relative squared error 57.8845 % Total Number of Instances 3280 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.893 0.029 0.836 0.893 0.864 0.932 chest 0.767 0.026 0.833 0.767 0.798 0.87 forearm 0.879 0.035 0.809 0.879 0.842 0.922 head 0.968 0.002 0.989 0.968 0.978 0.983 shin 0.889 0.015 0.906 0.889 0.898 0.937 thigh 0.759 0.035 0.784 0.759 0.771 0.862 upperarm 0.84 0.026 0.844 0.84 0.842 0.907 waist Weighted Avg. 0.856 0.024 0.857 0.856 0.856 0.916 === Confusion Matrix === a b c d e f g <-- classified as 419 5 2 1 12 26 4 | a = chest 12 358 38 1 10 24 24 | b = forearm 5 21 414 0 2 23 6 | c = head 2 1 2 453 3 3 4 | d = shin 19 2 0 1 416 16 14 | e = thigh 33 21 24 2 12 355 21 | f = upperarm 11 22 32 0 4 6 394 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2805 85.5183 % Incorrectly Classified Instances 475 14.4817 % Kappa statistic 0.831 Mean absolute error 0.0414 Root mean squared error 0.2034 Relative absolute error 16.8953 % Root relative squared error 58.1298 % Total Number of Instances 3280 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.844 0.023 0.857 0.844 0.851 0.91 chest 0.788 0.032 0.802 0.788 0.795 0.878 forearm 0.805 0.025 0.842 0.805 0.823 0.89 head 0.97 0.002 0.989 0.97 0.98 0.984 shin 0.88 0.016 0.902 0.88 0.891 0.932 thigh 0.803 0.041 0.767 0.803 0.785 0.881 upperarm 0.895 0.03 0.835 0.895 0.864 0.933 waist Weighted Avg. 0.855 0.024 0.856 0.855 0.855 0.916 === Confusion Matrix === a b c d e f g <-- classified as 396 8 9 0 19 27 10 | a = chest 12 368 31 1 6 23 26 | b = forearm 6 34 379 1 0 32 19 | c = head 0 3 1 455 6 3 1 | d = shin 12 3 2 1 412 23 15 | e = thigh 29 21 18 2 10 376 12 | f = upperarm 7 22 10 0 4 6 419 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2833 86.372 % Incorrectly Classified Instances 447 13.628 % Kappa statistic 0.841 Mean absolute error 0.0389 Root mean squared error 0.1973 Relative absolute error 15.8994 % Root relative squared error 56.3904 % Total Number of Instances 3280 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.864 0.025 0.854 0.864 0.859 0.919 chest 0.792 0.029 0.819 0.792 0.805 0.882 forearm 0.851 0.028 0.835 0.851 0.843 0.912 head 0.983 0.004 0.979 0.983 0.981 0.99 shin 0.882 0.014 0.916 0.882 0.899 0.934 thigh 0.81 0.035 0.793 0.81 0.801 0.887 upperarm 0.863 0.025 0.852 0.863 0.858 0.919 waist Weighted Avg. 0.864 0.023 0.864 0.864 0.864 0.921 === Confusion Matrix === a b c d e f g <-- classified as 405 9 7 0 14 25 9 | a = chest 9 370 34 3 2 23 26 | b = forearm 4 26 401 2 1 25 12 | c = head 1 0 0 461 5 1 1 | d = shin 16 4 3 3 413 14 15 | e = thigh 25 24 20 1 12 379 7 | f = upperarm 14 19 15 1 4 11 404 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2840 86.5854 % Incorrectly Classified Instances 440 13.4146 % Kappa statistic 0.8435 Mean absolute error 0.0383 Root mean squared error 0.1958 Relative absolute error 15.6504 % Root relative squared error 55.9472 % Total Number of Instances 3280 === 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 0.927 chest 0.814 0.027 0.833 0.814 0.823 0.893 forearm 0.862 0.035 0.806 0.862 0.833 0.914 head 0.966 0.001 0.996 0.966 0.981 0.983 shin 0.9 0.017 0.896 0.9 0.898 0.941 thigh 0.801 0.031 0.81 0.801 0.806 0.885 upperarm 0.844 0.025 0.851 0.844 0.848 0.91 waist Weighted Avg. 0.866 0.022 0.867 0.866 0.866 0.922 === Confusion Matrix === a b c d e f g <-- classified as 410 4 6 0 18 21 10 | a = chest 6 380 34 1 6 23 17 | b = forearm 5 31 406 0 0 19 10 | c = head 1 1 1 453 6 2 5 | d = shin 18 0 3 0 421 16 10 | e = thigh 21 18 28 0 9 375 17 | f = upperarm 7 22 26 1 10 7 395 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2830 86.3068 % Incorrectly Classified Instances 449 13.6932 % Kappa statistic 0.8402 Mean absolute error 0.0391 Root mean squared error 0.1978 Relative absolute error 15.9754 % Root relative squared error 56.5251 % Total Number of Instances 3279 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.891 0.024 0.86 0.891 0.875 0.934 chest 0.788 0.026 0.834 0.788 0.811 0.881 forearm 0.851 0.03 0.829 0.851 0.84 0.911 head 0.976 0.003 0.983 0.976 0.98 0.987 shin 0.889 0.014 0.916 0.889 0.902 0.938 thigh 0.784 0.034 0.793 0.784 0.788 0.875 upperarm 0.861 0.03 0.829 0.861 0.845 0.916 waist Weighted Avg. 0.863 0.023 0.863 0.863 0.863 0.92 === Confusion Matrix === a b c d e f g <-- classified as 418 6 3 1 10 24 7 | a = chest 5 368 35 2 6 19 32 | b = forearm 7 19 401 1 2 30 11 | c = head 2 1 1 457 5 2 0 | d = shin 27 0 5 1 416 11 8 | e = thigh 20 23 23 1 9 367 25 | f = upperarm 7 24 16 2 6 10 403 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2849 86.8862 % Incorrectly Classified Instances 430 13.1138 % Kappa statistic 0.847 Mean absolute error 0.0375 Root mean squared error 0.1936 Relative absolute error 15.2994 % Root relative squared error 55.3162 % Total Number of Instances 3279 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.885 0.024 0.859 0.885 0.872 0.93 chest 0.794 0.025 0.843 0.794 0.818 0.885 forearm 0.858 0.03 0.826 0.858 0.842 0.914 head 0.983 0.001 0.991 0.983 0.987 0.991 shin 0.868 0.012 0.925 0.868 0.895 0.928 thigh 0.818 0.035 0.794 0.818 0.806 0.891 upperarm 0.876 0.026 0.851 0.876 0.863 0.925 waist Weighted Avg. 0.869 0.022 0.87 0.869 0.869 0.924 === Confusion Matrix === a b c d e f g <-- classified as 415 6 1 1 12 23 11 | a = chest 4 371 38 1 7 21 25 | b = forearm 8 30 404 0 2 22 5 | c = head 2 1 1 460 1 3 0 | d = shin 24 1 2 2 407 21 12 | e = thigh 20 21 19 0 6 382 19 | f = upperarm 10 10 24 0 5 9 410 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2834 86.4288 % Incorrectly Classified Instances 445 13.5712 % Kappa statistic 0.8417 Mean absolute error 0.0388 Root mean squared error 0.1969 Relative absolute error 15.8331 % Root relative squared error 56.2727 % Total Number of Instances 3279 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.864 0.023 0.862 0.864 0.863 0.92 chest 0.816 0.028 0.826 0.816 0.821 0.894 forearm 0.873 0.023 0.865 0.873 0.869 0.925 head 0.983 0.003 0.983 0.983 0.983 0.99 shin 0.853 0.015 0.905 0.853 0.878 0.919 thigh 0.764 0.042 0.752 0.764 0.758 0.861 upperarm 0.897 0.024 0.861 0.897 0.879 0.937 waist Weighted Avg. 0.864 0.023 0.865 0.864 0.864 0.921 === Confusion Matrix === a b c d e f g <-- classified as 405 5 4 1 12 35 7 | a = chest 9 381 25 3 6 23 20 | b = forearm 6 27 411 0 0 22 5 | c = head 1 0 3 460 1 2 1 | d = shin 18 1 3 3 400 29 15 | e = thigh 28 27 17 1 17 357 20 | f = upperarm 3 20 12 0 6 7 420 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2835 86.4593 % Incorrectly Classified Instances 444 13.5407 % Kappa statistic 0.842 Mean absolute error 0.0387 Root mean squared error 0.1967 Relative absolute error 15.7975 % Root relative squared error 56.2095 % Total Number of Instances 3279 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.846 0.023 0.861 0.846 0.853 0.912 chest 0.786 0.024 0.846 0.786 0.815 0.881 forearm 0.864 0.035 0.806 0.864 0.834 0.915 head 0.981 0.003 0.983 0.981 0.982 0.989 shin 0.91 0.017 0.901 0.91 0.906 0.947 thigh 0.799 0.027 0.829 0.799 0.814 0.886 upperarm 0.865 0.03 0.83 0.865 0.847 0.918 waist Weighted Avg. 0.865 0.023 0.865 0.865 0.864 0.921 === Confusion Matrix === a b c d e f g <-- classified as 396 5 7 3 21 24 12 | a = chest 9 367 38 1 6 15 31 | b = forearm 6 24 408 1 0 21 12 | c = head 0 2 1 459 4 0 2 | d = shin 11 1 1 2 427 14 13 | e = thigh 29 17 25 0 10 373 13 | f = upperarm 9 18 26 1 6 3 405 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 8 FOLD: 0 Correctly Classified Instances 2829 86.25 % Incorrectly Classified Instances 451 13.75 % Kappa statistic 0.8396 Mean absolute error 0.0393 Root mean squared error 0.1982 Relative absolute error 16.0417 % Root relative squared error 56.6422 % Total Number of Instances 3280 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.902 0.023 0.865 0.902 0.883 0.939 chest 0.782 0.027 0.826 0.782 0.803 0.877 forearm 0.856 0.03 0.826 0.856 0.84 0.913 head 0.983 0.004 0.977 0.983 0.98 0.989 shin 0.882 0.011 0.93 0.882 0.906 0.936 thigh 0.786 0.037 0.781 0.786 0.784 0.875 upperarm 0.846 0.028 0.836 0.846 0.841 0.909 waist Weighted Avg. 0.863 0.023 0.863 0.863 0.862 0.92 === Confusion Matrix === a b c d e f g <-- classified as 423 5 5 1 8 18 9 | a = chest 12 365 28 2 4 29 27 | b = forearm 4 24 403 3 2 27 8 | c = head 1 2 1 460 3 1 0 | d = shin 17 0 5 2 413 19 12 | e = thigh 24 24 20 1 9 368 22 | f = upperarm 8 22 26 2 5 9 397 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2798 85.3049 % Incorrectly Classified Instances 482 14.6951 % Kappa statistic 0.8286 Mean absolute error 0.042 Root mean squared error 0.2049 Relative absolute error 17.1443 % Root relative squared error 58.5565 % Total Number of Instances 3280 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.838 0.025 0.849 0.838 0.843 0.907 chest 0.796 0.031 0.812 0.796 0.804 0.883 forearm 0.862 0.03 0.83 0.862 0.846 0.916 head 0.968 0.002 0.989 0.968 0.978 0.983 shin 0.861 0.017 0.896 0.861 0.878 0.922 thigh 0.788 0.04 0.767 0.788 0.778 0.874 upperarm 0.857 0.028 0.836 0.857 0.846 0.915 waist Weighted Avg. 0.853 0.024 0.854 0.853 0.853 0.914 === Confusion Matrix === a b c d e f g <-- classified as 393 12 5 1 20 32 6 | a = chest 8 371 35 1 7 19 25 | b = forearm 4 30 406 0 3 23 5 | c = head 1 2 2 453 4 4 2 | d = shin 20 2 5 2 404 23 13 | e = thigh 22 19 20 0 10 369 28 | f = upperarm 15 21 16 1 3 11 402 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2835 86.4329 % Incorrectly Classified Instances 445 13.5671 % Kappa statistic 0.8417 Mean absolute error 0.0388 Root mean squared error 0.1969 Relative absolute error 15.8283 % Root relative squared error 56.2641 % Total Number of Instances 3280 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.866 0.023 0.86 0.866 0.863 0.921 chest 0.79 0.025 0.841 0.79 0.815 0.883 forearm 0.854 0.031 0.824 0.854 0.838 0.911 head 0.989 0.003 0.983 0.989 0.986 0.993 shin 0.904 0.014 0.914 0.904 0.909 0.945 thigh 0.791 0.035 0.789 0.791 0.79 0.878 upperarm 0.857 0.027 0.841 0.857 0.849 0.915 waist Weighted Avg. 0.864 0.023 0.864 0.864 0.864 0.921 === Confusion Matrix === a b c d e f g <-- classified as 406 8 3 1 16 29 6 | a = chest 4 369 36 1 6 27 24 | b = forearm 4 24 402 0 0 27 14 | c = head 2 0 2 463 1 0 0 | d = shin 15 1 4 4 424 8 13 | e = thigh 29 14 22 1 13 370 19 | f = upperarm 12 23 19 1 4 8 401 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2851 86.9207 % Incorrectly Classified Instances 429 13.0793 % Kappa statistic 0.8474 Mean absolute error 0.0374 Root mean squared error 0.1933 Relative absolute error 15.2592 % Root relative squared error 55.2434 % Total Number of Instances 3280 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.891 0.026 0.85 0.891 0.87 0.932 chest 0.827 0.027 0.835 0.827 0.831 0.9 forearm 0.845 0.028 0.834 0.845 0.84 0.908 head 0.968 0.002 0.989 0.968 0.978 0.983 shin 0.861 0.013 0.918 0.861 0.889 0.924 thigh 0.812 0.032 0.807 0.812 0.809 0.89 upperarm 0.88 0.024 0.858 0.88 0.869 0.928 waist Weighted Avg. 0.869 0.022 0.87 0.869 0.869 0.924 === Confusion Matrix === a b c d e f g <-- classified as 418 4 5 0 12 21 9 | a = chest 6 386 34 2 3 20 16 | b = forearm 3 28 398 0 1 28 13 | c = head 2 3 1 453 6 1 2 | d = shin 27 2 3 2 404 16 15 | e = thigh 23 23 18 1 10 380 13 | f = upperarm 13 16 18 0 4 5 412 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2825 86.128 % Incorrectly Classified Instances 455 13.872 % Kappa statistic 0.8382 Mean absolute error 0.0396 Root mean squared error 0.1991 Relative absolute error 16.184 % Root relative squared error 56.8928 % Total Number of Instances 3280 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.88 0.028 0.839 0.88 0.859 0.926 chest 0.803 0.027 0.831 0.803 0.817 0.888 forearm 0.845 0.033 0.811 0.845 0.828 0.906 head 0.983 0.001 0.991 0.983 0.987 0.991 shin 0.868 0.013 0.919 0.868 0.893 0.927 thigh 0.786 0.033 0.797 0.786 0.791 0.876 upperarm 0.863 0.026 0.847 0.863 0.855 0.919 waist Weighted Avg. 0.861 0.023 0.862 0.861 0.861 0.919 === Confusion Matrix === a b c d e f g <-- classified as 412 8 6 1 12 22 7 | a = chest 9 375 32 2 4 24 21 | b = forearm 8 28 399 0 0 23 14 | c = head 2 1 1 460 2 1 1 | d = shin 23 1 1 0 407 19 18 | e = thigh 29 22 23 1 13 368 12 | f = upperarm 8 16 30 0 5 5 404 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2819 85.9451 % Incorrectly Classified Instances 461 14.0549 % Kappa statistic 0.836 Mean absolute error 0.0402 Root mean squared error 0.2004 Relative absolute error 16.3974 % Root relative squared error 57.2667 % Total Number of Instances 3280 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.868 0.027 0.842 0.868 0.855 0.92 chest 0.788 0.032 0.805 0.788 0.797 0.878 forearm 0.845 0.025 0.849 0.845 0.847 0.91 head 0.979 0.002 0.989 0.979 0.984 0.988 shin 0.866 0.014 0.91 0.866 0.887 0.926 thigh 0.795 0.034 0.795 0.795 0.795 0.88 upperarm 0.876 0.03 0.83 0.876 0.852 0.923 waist Weighted Avg. 0.859 0.023 0.86 0.859 0.86 0.918 === Confusion Matrix === a b c d e f g <-- classified as 406 5 4 1 13 27 12 | a = chest 9 368 32 3 3 25 27 | b = forearm 6 34 399 0 1 20 12 | c = head 0 0 0 458 6 3 1 | d = shin 25 4 1 0 406 15 18 | e = thigh 27 22 22 1 10 372 14 | f = upperarm 9 24 12 0 7 6 410 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2785 84.9344 % Incorrectly Classified Instances 494 15.0656 % Kappa statistic 0.8242 Mean absolute error 0.043 Root mean squared error 0.2075 Relative absolute error 17.5765 % Root relative squared error 59.29 % Total Number of Instances 3279 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.88 0.025 0.853 0.88 0.866 0.928 chest 0.745 0.028 0.815 0.745 0.779 0.859 forearm 0.837 0.038 0.786 0.837 0.811 0.899 head 0.964 0.002 0.989 0.964 0.976 0.981 shin 0.868 0.017 0.894 0.868 0.881 0.925 thigh 0.774 0.032 0.803 0.774 0.788 0.871 upperarm 0.878 0.034 0.812 0.878 0.844 0.922 waist Weighted Avg. 0.849 0.025 0.85 0.849 0.849 0.912 === Confusion Matrix === a b c d e f g <-- classified as 412 3 6 1 23 19 4 | a = chest 9 348 44 2 7 15 42 | b = forearm 7 32 394 0 0 25 13 | c = head 4 1 4 452 4 2 2 | d = shin 18 3 3 1 406 20 17 | e = thigh 27 21 32 1 8 362 17 | f = upperarm 6 19 18 0 6 8 411 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2808 85.6359 % Incorrectly Classified Instances 471 14.3641 % Kappa statistic 0.8324 Mean absolute error 0.041 Root mean squared error 0.2026 Relative absolute error 16.7582 % Root relative squared error 57.8933 % Total Number of Instances 3279 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.878 0.026 0.848 0.878 0.863 0.926 chest 0.771 0.026 0.829 0.771 0.799 0.872 forearm 0.854 0.032 0.819 0.854 0.836 0.911 head 0.968 0.001 0.991 0.968 0.98 0.983 shin 0.887 0.017 0.896 0.887 0.892 0.935 thigh 0.769 0.035 0.784 0.769 0.776 0.867 upperarm 0.868 0.03 0.83 0.868 0.848 0.919 waist Weighted Avg. 0.856 0.024 0.857 0.856 0.856 0.916 === Confusion Matrix === a b c d e f g <-- classified as 412 5 3 1 16 25 7 | a = chest 10 360 25 0 8 24 40 | b = forearm 8 26 402 0 1 23 11 | c = head 0 1 4 454 8 1 1 | d = shin 24 0 2 1 415 15 11 | e = thigh 26 27 30 1 11 359 13 | f = upperarm 6 15 25 1 4 11 406 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2818 85.9408 % Incorrectly Classified Instances 461 14.0592 % Kappa statistic 0.836 Mean absolute error 0.0402 Root mean squared error 0.2004 Relative absolute error 16.4024 % Root relative squared error 57.2754 % Total Number of Instances 3279 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.876 0.023 0.862 0.876 0.869 0.926 chest 0.788 0.024 0.846 0.788 0.816 0.882 forearm 0.849 0.034 0.806 0.849 0.827 0.908 head 0.972 0.001 0.996 0.972 0.984 0.986 shin 0.904 0.014 0.914 0.904 0.909 0.945 thigh 0.762 0.036 0.781 0.762 0.771 0.863 upperarm 0.863 0.032 0.818 0.863 0.84 0.916 waist Weighted Avg. 0.859 0.023 0.86 0.859 0.859 0.918 === Confusion Matrix === a b c d e f g <-- classified as 411 4 11 0 8 25 10 | a = chest 6 368 34 0 4 27 28 | b = forearm 7 22 400 0 2 25 15 | c = head 2 0 1 456 3 2 5 | d = shin 17 1 3 1 423 12 11 | e = thigh 24 25 24 0 17 356 21 | f = upperarm 10 15 23 1 6 9 404 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2858 87.1607 % Incorrectly Classified Instances 421 12.8393 % Kappa statistic 0.8502 Mean absolute error 0.0367 Root mean squared error 0.1915 Relative absolute error 14.9792 % Root relative squared error 54.7342 % Total Number of Instances 3279 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.87 0.017 0.893 0.87 0.881 0.926 chest 0.82 0.026 0.84 0.82 0.83 0.897 forearm 0.879 0.037 0.798 0.879 0.836 0.921 head 0.979 0.003 0.983 0.979 0.981 0.988 shin 0.882 0.015 0.908 0.882 0.895 0.934 thigh 0.805 0.031 0.812 0.805 0.809 0.887 upperarm 0.866 0.02 0.877 0.866 0.871 0.923 waist Weighted Avg. 0.872 0.021 0.873 0.872 0.872 0.925 === Confusion Matrix === a b c d e f g <-- classified as 408 8 9 2 15 21 6 | a = chest 6 383 35 2 8 19 14 | b = forearm 3 34 414 0 1 16 3 | c = head 1 2 1 458 2 2 2 | d = shin 9 1 3 3 413 22 17 | e = thigh 24 13 30 0 9 376 15 | f = upperarm 6 15 27 1 7 7 406 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 9 FOLD: 0 Correctly Classified Instances 2830 86.2805 % Incorrectly Classified Instances 450 13.7195 % Kappa statistic 0.8399 Mean absolute error 0.0392 Root mean squared error 0.198 Relative absolute error 16.0061 % Root relative squared error 56.5793 % Total Number of Instances 3280 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.866 0.021 0.873 0.866 0.869 0.922 chest 0.818 0.034 0.801 0.818 0.809 0.892 forearm 0.864 0.027 0.841 0.864 0.852 0.918 head 0.991 0.004 0.977 0.991 0.984 0.994 shin 0.872 0.015 0.905 0.872 0.888 0.928 thigh 0.774 0.031 0.806 0.774 0.79 0.871 upperarm 0.855 0.028 0.837 0.855 0.846 0.913 waist Weighted Avg. 0.863 0.023 0.863 0.863 0.863 0.92 === Confusion Matrix === a b c d e f g <-- classified as 406 6 7 1 17 26 6 | a = chest 10 382 23 2 3 15 32 | b = forearm 2 31 407 1 2 20 8 | c = head 0 2 0 465 0 2 0 | d = shin 18 3 3 3 408 16 17 | e = thigh 20 28 28 2 13 362 15 | f = upperarm 9 25 16 2 8 8 400 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2823 86.0671 % Incorrectly Classified Instances 457 13.9329 % Kappa statistic 0.8374 Mean absolute error 0.0398 Root mean squared error 0.1995 Relative absolute error 16.2551 % Root relative squared error 57.0177 % Total Number of Instances 3280 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.87 0.024 0.857 0.87 0.863 0.923 chest 0.771 0.029 0.814 0.771 0.792 0.871 forearm 0.843 0.026 0.843 0.843 0.843 0.908 head 0.983 0.004 0.979 0.983 0.981 0.99 shin 0.863 0.011 0.931 0.863 0.896 0.926 thigh 0.833 0.038 0.785 0.833 0.808 0.898 upperarm 0.861 0.031 0.824 0.861 0.842 0.915 waist Weighted Avg. 0.861 0.023 0.862 0.861 0.861 0.919 === Confusion Matrix === a b c d e f g <-- classified as 408 6 8 2 9 25 11 | a = chest 15 360 31 4 3 27 27 | b = forearm 2 31 397 1 0 23 17 | c = head 0 0 1 461 5 0 2 | d = shin 19 2 3 1 404 25 14 | e = thigh 26 15 14 0 8 390 15 | f = upperarm 6 28 17 2 5 7 403 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2836 86.4634 % Incorrectly Classified Instances 444 13.5366 % Kappa statistic 0.8421 Mean absolute error 0.0387 Root mean squared error 0.1967 Relative absolute error 15.7927 % Root relative squared error 56.2009 % Total Number of Instances 3280 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.853 0.022 0.868 0.853 0.86 0.916 chest 0.812 0.03 0.817 0.812 0.814 0.891 forearm 0.843 0.026 0.843 0.843 0.843 0.908 head 0.974 0.002 0.987 0.974 0.981 0.986 shin 0.897 0.014 0.917 0.897 0.907 0.942 thigh 0.78 0.034 0.793 0.78 0.787 0.873 upperarm 0.893 0.03 0.831 0.893 0.861 0.931 waist Weighted Avg. 0.865 0.023 0.865 0.865 0.865 0.921 === Confusion Matrix === a b c d e f g <-- classified as 400 12 5 2 17 22 11 | a = chest 6 379 30 2 6 20 24 | b = forearm 10 29 397 0 0 24 11 | c = head 0 2 3 457 3 2 2 | d = shin 11 1 1 1 420 20 14 | e = thigh 28 25 17 0 10 365 23 | f = upperarm 6 16 18 1 2 7 418 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2804 85.4878 % Incorrectly Classified Instances 476 14.5122 % Kappa statistic 0.8307 Mean absolute error 0.0415 Root mean squared error 0.2036 Relative absolute error 16.9309 % Root relative squared error 58.1909 % Total Number of Instances 3280 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.855 0.025 0.853 0.855 0.854 0.915 chest 0.756 0.032 0.797 0.756 0.776 0.862 forearm 0.854 0.034 0.807 0.854 0.83 0.91 head 0.981 0.004 0.975 0.981 0.978 0.988 shin 0.887 0.015 0.91 0.887 0.898 0.936 thigh 0.793 0.032 0.807 0.793 0.8 0.881 upperarm 0.859 0.028 0.836 0.859 0.847 0.915 waist Weighted Avg. 0.855 0.024 0.855 0.855 0.855 0.915 === Confusion Matrix === a b c d e f g <-- classified as 401 10 12 3 12 25 6 | a = chest 10 353 46 3 10 16 29 | b = forearm 8 28 402 0 1 23 9 | c = head 1 1 0 459 4 2 1 | d = shin 16 1 1 3 416 15 17 | e = thigh 25 23 21 1 10 371 17 | f = upperarm 9 27 16 2 4 8 402 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2839 86.5549 % Incorrectly Classified Instances 441 13.4451 % Kappa statistic 0.8431 Mean absolute error 0.0384 Root mean squared error 0.196 Relative absolute error 15.686 % Root relative squared error 56.0107 % Total Number of Instances 3280 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.874 0.02 0.882 0.874 0.878 0.927 chest 0.797 0.028 0.825 0.797 0.81 0.884 forearm 0.86 0.03 0.83 0.86 0.845 0.915 head 0.976 0.002 0.985 0.976 0.981 0.987 shin 0.896 0.02 0.881 0.896 0.888 0.938 thigh 0.795 0.036 0.785 0.795 0.79 0.879 upperarm 0.861 0.021 0.874 0.861 0.868 0.92 waist Weighted Avg. 0.866 0.022 0.866 0.866 0.866 0.922 === Confusion Matrix === a b c d e f g <-- classified as 410 4 4 1 20 23 7 | a = chest 3 372 35 3 8 30 16 | b = forearm 2 30 405 1 3 20 10 | c = head 0 1 3 457 7 0 0 | d = shin 15 2 1 1 420 23 7 | e = thigh 24 24 16 1 13 372 18 | f = upperarm 11 18 24 0 6 6 403 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2817 85.8841 % Incorrectly Classified Instances 463 14.1159 % Kappa statistic 0.8353 Mean absolute error 0.0403 Root mean squared error 0.2008 Relative absolute error 16.4685 % Root relative squared error 57.3908 % Total Number of Instances 3280 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.874 0.023 0.863 0.874 0.869 0.926 chest 0.816 0.03 0.818 0.816 0.817 0.893 forearm 0.851 0.031 0.82 0.851 0.835 0.91 head 0.983 0.002 0.987 0.983 0.985 0.99 shin 0.878 0.016 0.902 0.878 0.89 0.931 thigh 0.761 0.031 0.802 0.761 0.781 0.865 upperarm 0.848 0.031 0.822 0.848 0.835 0.909 waist Weighted Avg. 0.859 0.024 0.859 0.859 0.859 0.918 === Confusion Matrix === a b c d e f g <-- classified as 410 8 2 0 16 22 11 | a = chest 5 381 33 1 8 18 21 | b = forearm 3 29 401 0 1 26 11 | c = head 1 1 1 460 4 0 1 | d = shin 19 0 3 3 412 16 16 | e = thigh 28 23 22 2 11 356 26 | f = upperarm 9 24 27 0 5 6 397 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2849 86.8862 % Incorrectly Classified Instances 430 13.1138 % Kappa statistic 0.847 Mean absolute error 0.0375 Root mean squared error 0.1936 Relative absolute error 15.2994 % Root relative squared error 55.3162 % Total Number of Instances 3279 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.857 0.021 0.874 0.857 0.865 0.918 chest 0.816 0.028 0.828 0.816 0.822 0.894 forearm 0.866 0.03 0.828 0.866 0.846 0.918 head 0.972 0.002 0.987 0.972 0.98 0.985 shin 0.876 0.014 0.915 0.876 0.895 0.931 thigh 0.806 0.032 0.809 0.806 0.807 0.887 upperarm 0.889 0.027 0.847 0.889 0.868 0.931 waist Weighted Avg. 0.869 0.022 0.87 0.869 0.869 0.924 === Confusion Matrix === a b c d e f g <-- classified as 401 9 8 0 11 29 10 | a = chest 9 381 34 1 5 16 21 | b = forearm 2 29 408 2 0 20 10 | c = head 2 0 2 455 4 3 2 | d = shin 20 2 3 1 411 15 17 | e = thigh 22 24 18 1 11 377 15 | f = upperarm 3 15 20 1 7 6 416 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2828 86.2458 % Incorrectly Classified Instances 451 13.7542 % Kappa statistic 0.8395 Mean absolute error 0.0393 Root mean squared error 0.1982 Relative absolute error 16.0466 % Root relative squared error 56.6508 % Total Number of Instances 3279 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.887 0.021 0.876 0.887 0.881 0.933 chest 0.8 0.033 0.799 0.8 0.8 0.884 forearm 0.867 0.03 0.831 0.867 0.849 0.918 head 0.976 0.001 0.991 0.976 0.984 0.988 shin 0.878 0.017 0.898 0.878 0.888 0.931 thigh 0.745 0.028 0.813 0.745 0.778 0.858 upperarm 0.883 0.03 0.831 0.883 0.856 0.926 waist Weighted Avg. 0.862 0.023 0.863 0.862 0.862 0.92 === Confusion Matrix === a b c d e f g <-- classified as 415 8 5 1 12 18 9 | a = chest 7 373 24 0 9 19 34 | b = forearm 1 30 409 0 1 20 11 | c = head 2 1 0 457 6 1 1 | d = shin 20 0 1 2 412 18 16 | e = thigh 21 40 31 1 13 348 13 | f = upperarm 8 15 22 0 6 4 414 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2820 86.0018 % Incorrectly Classified Instances 459 13.9982 % Kappa statistic 0.8367 Mean absolute error 0.04 Root mean squared error 0.2 Relative absolute error 16.3312 % Root relative squared error 57.1511 % Total Number of Instances 3279 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.889 0.024 0.861 0.889 0.875 0.933 chest 0.784 0.027 0.826 0.784 0.804 0.878 forearm 0.826 0.037 0.791 0.826 0.808 0.895 head 0.957 0.001 0.991 0.957 0.974 0.978 shin 0.9 0.016 0.901 0.9 0.901 0.942 thigh 0.786 0.031 0.81 0.786 0.798 0.878 upperarm 0.878 0.027 0.844 0.878 0.861 0.926 waist Weighted Avg. 0.86 0.023 0.861 0.86 0.86 0.918 === Confusion Matrix === a b c d e f g <-- classified as 416 9 3 1 11 25 3 | a = chest 6 366 44 0 1 22 28 | b = forearm 7 32 390 1 4 22 16 | c = head 2 1 3 448 7 2 5 | d = shin 18 1 5 2 421 11 10 | e = thigh 27 16 30 0 13 367 14 | f = upperarm 7 18 18 0 10 4 412 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2830 86.3068 % Incorrectly Classified Instances 449 13.6932 % Kappa statistic 0.8402 Mean absolute error 0.0391 Root mean squared error 0.1978 Relative absolute error 15.9754 % Root relative squared error 56.5251 % Total Number of Instances 3279 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.868 0.023 0.86 0.868 0.864 0.922 chest 0.801 0.023 0.852 0.801 0.826 0.889 forearm 0.866 0.033 0.814 0.866 0.84 0.917 head 0.974 0.003 0.981 0.974 0.977 0.986 shin 0.887 0.017 0.894 0.887 0.891 0.935 thigh 0.775 0.028 0.821 0.775 0.797 0.874 upperarm 0.87 0.031 0.823 0.87 0.846 0.919 waist Weighted Avg. 0.863 0.023 0.864 0.863 0.863 0.92 === Confusion Matrix === a b c d e f g <-- classified as 407 8 4 1 21 19 9 | a = chest 5 374 31 2 5 19 31 | b = forearm 6 23 408 1 0 22 11 | c = head 1 3 1 456 5 1 1 | d = shin 22 0 2 4 415 8 17 | e = thigh 23 17 30 1 15 362 19 | f = upperarm 9 14 25 0 3 10 408 | g = waist ------------------------------------------------------------------------------------------------------ SUBJECT: 14 RUN: 0 FOLD: 0 Correctly Classified Instances 2759 92.6461 % Incorrectly Classified Instances 219 7.3539 % Kappa statistic 0.9142 Mean absolute error 0.021 Root mean squared error 0.145 Relative absolute error 8.5796 % Root relative squared error 41.4236 % Total Number of Instances 2978 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.925 0.017 0.901 0.925 0.913 0.954 chest 0.915 0.012 0.926 0.915 0.921 0.951 forearm 0.925 0.011 0.933 0.925 0.929 0.957 head 0.955 0.004 0.974 0.955 0.964 0.975 shin 0.932 0.008 0.952 0.932 0.942 0.962 thigh 0.888 0.017 0.898 0.888 0.893 0.935 upperarm 0.946 0.017 0.904 0.946 0.924 0.965 waist Weighted Avg. 0.926 0.012 0.927 0.926 0.927 0.957 === Confusion Matrix === a b c d e f g <-- classified as 393 7 1 0 2 20 2 | a = chest 4 388 12 0 0 7 13 | b = forearm 5 12 393 1 1 11 2 | c = head 2 1 3 406 5 1 7 | d = shin 4 0 2 6 397 2 15 | e = thigh 25 3 9 3 4 379 4 | f = upperarm 3 8 1 1 8 2 403 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2755 92.5118 % Incorrectly Classified Instances 223 7.4882 % Kappa statistic 0.9126 Mean absolute error 0.0214 Root mean squared error 0.1463 Relative absolute error 8.7363 % Root relative squared error 41.8002 % Total Number of Instances 2978 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.936 0.012 0.93 0.936 0.933 0.962 chest 0.917 0.012 0.926 0.917 0.922 0.953 forearm 0.911 0.018 0.896 0.911 0.903 0.947 head 0.962 0.004 0.974 0.962 0.968 0.979 shin 0.941 0.006 0.962 0.941 0.951 0.968 thigh 0.892 0.019 0.886 0.892 0.889 0.937 upperarm 0.915 0.016 0.905 0.915 0.91 0.95 waist Weighted Avg. 0.925 0.012 0.925 0.925 0.925 0.956 === Confusion Matrix === a b c d e f g <-- classified as 398 1 1 0 2 19 4 | a = chest 3 389 16 2 0 3 11 | b = forearm 2 14 388 0 1 16 5 | c = head 0 2 1 409 4 2 7 | d = shin 5 1 0 7 401 5 7 | e = thigh 14 4 16 2 3 381 7 | f = upperarm 6 9 11 0 6 4 389 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2776 93.2169 % Incorrectly Classified Instances 202 6.7831 % Kappa statistic 0.9209 Mean absolute error 0.0194 Root mean squared error 0.1392 Relative absolute error 7.9136 % Root relative squared error 39.7834 % Total Number of Instances 2978 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.953 0.013 0.927 0.953 0.94 0.97 chest 0.925 0.012 0.929 0.925 0.927 0.956 forearm 0.92 0.016 0.905 0.92 0.913 0.952 head 0.972 0.006 0.963 0.972 0.967 0.983 shin 0.93 0.006 0.964 0.93 0.946 0.962 thigh 0.894 0.017 0.899 0.894 0.896 0.939 upperarm 0.932 0.01 0.941 0.932 0.936 0.961 waist Weighted Avg. 0.932 0.011 0.932 0.932 0.932 0.96 === Confusion Matrix === a b c d e f g <-- classified as 405 0 6 0 2 12 0 | a = chest 2 392 16 2 0 4 8 | b = forearm 1 12 392 1 0 18 2 | c = head 1 0 3 413 6 0 2 | d = shin 5 1 2 7 396 8 7 | e = thigh 19 3 9 6 2 381 6 | f = upperarm 4 14 5 0 5 1 397 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2755 92.5118 % Incorrectly Classified Instances 223 7.4882 % Kappa statistic 0.9126 Mean absolute error 0.0214 Root mean squared error 0.1463 Relative absolute error 8.7363 % Root relative squared error 41.8002 % Total Number of Instances 2978 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.911 0.015 0.911 0.911 0.911 0.948 chest 0.943 0.015 0.911 0.943 0.927 0.964 forearm 0.92 0.013 0.925 0.92 0.922 0.954 head 0.96 0.005 0.967 0.96 0.963 0.977 shin 0.923 0.006 0.961 0.923 0.941 0.958 thigh 0.89 0.022 0.869 0.89 0.879 0.934 upperarm 0.93 0.011 0.936 0.93 0.933 0.959 waist Weighted Avg. 0.925 0.012 0.926 0.925 0.925 0.956 === Confusion Matrix === a b c d e f g <-- classified as 387 2 2 0 2 27 5 | a = chest 4 400 9 1 1 3 6 | b = forearm 5 9 392 0 0 19 1 | c = head 1 1 3 408 7 1 4 | d = shin 5 2 2 12 393 5 7 | e = thigh 22 10 10 0 1 379 4 | f = upperarm 1 15 6 1 5 2 396 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2733 91.773 % Incorrectly Classified Instances 245 8.227 % Kappa statistic 0.904 Mean absolute error 0.0235 Root mean squared error 0.1533 Relative absolute error 9.5982 % Root relative squared error 43.8136 % Total Number of Instances 2978 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.913 0.015 0.911 0.913 0.912 0.949 chest 0.915 0.016 0.904 0.915 0.91 0.95 forearm 0.89 0.014 0.911 0.89 0.9 0.938 head 0.965 0.005 0.969 0.965 0.967 0.98 shin 0.925 0.012 0.929 0.925 0.927 0.957 thigh 0.899 0.022 0.872 0.899 0.886 0.939 upperarm 0.918 0.012 0.929 0.918 0.923 0.953 waist Weighted Avg. 0.918 0.014 0.918 0.918 0.918 0.952 === Confusion Matrix === a b c d e f g <-- classified as 388 1 5 0 6 19 6 | a = chest 4 388 19 0 2 4 7 | b = forearm 3 22 379 1 0 20 1 | c = head 0 1 2 410 8 1 3 | d = shin 7 2 1 5 394 10 7 | e = thigh 18 3 8 3 5 383 6 | f = upperarm 6 12 2 4 9 2 391 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2759 92.6772 % Incorrectly Classified Instances 218 7.3228 % Kappa statistic 0.9146 Mean absolute error 0.0209 Root mean squared error 0.1446 Relative absolute error 8.5433 % Root relative squared error 41.3359 % Total Number of Instances 2977 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.927 0.013 0.925 0.927 0.926 0.957 chest 0.908 0.011 0.932 0.908 0.92 0.949 forearm 0.913 0.014 0.917 0.913 0.915 0.95 head 0.953 0.004 0.978 0.953 0.965 0.975 shin 0.932 0.007 0.957 0.932 0.944 0.962 thigh 0.913 0.023 0.87 0.913 0.891 0.945 upperarm 0.941 0.015 0.913 0.941 0.927 0.963 waist Weighted Avg. 0.927 0.012 0.928 0.927 0.927 0.957 === Confusion Matrix === a b c d e f g <-- classified as 393 3 4 0 0 21 3 | a = chest 3 385 11 3 2 7 13 | b = forearm 3 12 389 1 1 17 3 | c = head 5 2 4 405 6 1 2 | d = shin 5 1 3 2 397 8 10 | e = thigh 12 3 12 2 1 389 7 | f = upperarm 4 7 1 1 8 4 401 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2757 92.61 % Incorrectly Classified Instances 220 7.39 % Kappa statistic 0.9138 Mean absolute error 0.0211 Root mean squared error 0.1453 Relative absolute error 8.6217 % Root relative squared error 41.5251 % Total Number of Instances 2977 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.927 0.013 0.925 0.927 0.926 0.957 chest 0.927 0.013 0.925 0.927 0.926 0.957 forearm 0.925 0.011 0.931 0.925 0.928 0.957 head 0.967 0.003 0.983 0.967 0.975 0.982 shin 0.901 0.008 0.95 0.901 0.925 0.947 thigh 0.899 0.023 0.869 0.899 0.884 0.938 upperarm 0.937 0.016 0.905 0.937 0.92 0.96 waist Weighted Avg. 0.926 0.012 0.927 0.926 0.926 0.957 === Confusion Matrix === a b c d e f g <-- classified as 393 3 1 0 3 23 1 | a = chest 0 393 7 0 1 3 20 | b = forearm 5 14 394 0 0 11 2 | c = head 0 1 1 410 7 2 3 | d = shin 9 0 3 4 384 16 10 | e = thigh 13 6 14 2 2 384 6 | f = upperarm 5 8 3 1 7 3 399 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2750 92.3749 % Incorrectly Classified Instances 227 7.6251 % Kappa statistic 0.911 Mean absolute error 0.0218 Root mean squared error 0.1476 Relative absolute error 8.896 % Root relative squared error 42.1805 % Total Number of Instances 2977 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.932 0.018 0.896 0.932 0.913 0.957 chest 0.927 0.016 0.906 0.927 0.916 0.955 forearm 0.897 0.012 0.927 0.897 0.912 0.942 head 0.983 0.006 0.963 0.983 0.973 0.989 shin 0.925 0.005 0.97 0.925 0.947 0.96 thigh 0.869 0.02 0.881 0.869 0.875 0.925 upperarm 0.934 0.013 0.926 0.934 0.93 0.961 waist Weighted Avg. 0.924 0.013 0.924 0.924 0.924 0.956 === Confusion Matrix === a b c d e f g <-- classified as 395 3 1 0 2 21 2 | a = chest 5 394 10 1 0 3 12 | b = forearm 7 16 382 0 1 18 2 | c = head 0 0 2 417 4 0 1 | d = shin 7 1 1 9 393 7 7 | e = thigh 24 6 13 4 1 371 8 | f = upperarm 3 15 3 2 4 1 398 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2781 93.4162 % Incorrectly Classified Instances 196 6.5838 % Kappa statistic 0.9232 Mean absolute error 0.0188 Root mean squared error 0.1372 Relative absolute error 7.6811 % Root relative squared error 39.1947 % Total Number of Instances 2977 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.943 0.011 0.937 0.943 0.94 0.966 chest 0.922 0.012 0.927 0.922 0.925 0.955 forearm 0.92 0.01 0.94 0.92 0.93 0.955 head 0.969 0.004 0.976 0.969 0.973 0.983 shin 0.915 0.007 0.954 0.915 0.934 0.954 thigh 0.918 0.019 0.891 0.918 0.904 0.95 upperarm 0.951 0.014 0.918 0.951 0.934 0.968 waist Weighted Avg. 0.934 0.011 0.935 0.934 0.934 0.962 === Confusion Matrix === a b c d e f g <-- classified as 400 2 3 0 1 17 1 | a = chest 1 392 16 1 0 5 10 | b = forearm 2 12 391 0 0 16 4 | c = head 1 2 1 411 6 1 2 | d = shin 6 1 1 7 390 6 15 | e = thigh 16 6 4 2 3 392 4 | f = upperarm 1 8 0 0 9 3 405 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2791 93.7521 % Incorrectly Classified Instances 186 6.2479 % Kappa statistic 0.9271 Mean absolute error 0.0179 Root mean squared error 0.1336 Relative absolute error 7.2892 % Root relative squared error 38.1817 % Total Number of Instances 2977 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.936 0.016 0.909 0.936 0.922 0.96 chest 0.934 0.007 0.954 0.934 0.944 0.963 forearm 0.944 0.013 0.922 0.944 0.933 0.965 head 0.972 0.005 0.972 0.972 0.972 0.983 shin 0.934 0.003 0.983 0.934 0.958 0.966 thigh 0.899 0.018 0.893 0.899 0.896 0.941 upperarm 0.944 0.011 0.935 0.944 0.939 0.966 waist Weighted Avg. 0.938 0.01 0.938 0.938 0.938 0.964 === Confusion Matrix === a b c d e f g <-- classified as 398 0 4 0 1 21 1 | a = chest 3 396 9 2 0 4 10 | b = forearm 2 9 401 1 0 9 3 | c = head 1 0 2 412 3 2 4 | d = shin 5 1 4 5 398 7 6 | e = thigh 21 1 13 3 1 384 4 | f = upperarm 8 8 2 1 2 3 402 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 1 FOLD: 0 Correctly Classified Instances 2740 92.0081 % Incorrectly Classified Instances 238 7.9919 % Kappa statistic 0.9068 Mean absolute error 0.0228 Root mean squared error 0.1511 Relative absolute error 9.3239 % Root relative squared error 43.1832 % Total Number of Instances 2978 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.929 0.017 0.902 0.929 0.915 0.956 chest 0.915 0.013 0.922 0.915 0.918 0.951 forearm 0.927 0.018 0.898 0.927 0.912 0.955 head 0.958 0.005 0.971 0.958 0.964 0.976 shin 0.899 0.009 0.946 0.899 0.922 0.945 thigh 0.895 0.021 0.878 0.895 0.886 0.937 upperarm 0.918 0.012 0.929 0.918 0.923 0.953 waist Weighted Avg. 0.92 0.013 0.921 0.92 0.92 0.953 === Confusion Matrix === a b c d e f g <-- classified as 395 4 4 0 1 17 4 | a = chest 5 388 18 1 0 3 9 | b = forearm 3 7 395 0 0 19 2 | c = head 3 1 3 406 6 1 4 | d = shin 9 2 3 8 383 11 10 | e = thigh 18 5 15 2 4 382 1 | f = upperarm 5 14 2 1 11 2 391 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2767 92.9147 % Incorrectly Classified Instances 211 7.0853 % Kappa statistic 0.9173 Mean absolute error 0.0202 Root mean squared error 0.1423 Relative absolute error 8.2662 % Root relative squared error 40.66 % Total Number of Instances 2978 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.948 0.018 0.897 0.948 0.922 0.965 chest 0.887 0.01 0.938 0.887 0.912 0.939 forearm 0.911 0.013 0.922 0.911 0.916 0.949 head 0.972 0.005 0.972 0.972 0.972 0.984 shin 0.941 0.005 0.969 0.941 0.955 0.968 thigh 0.899 0.021 0.879 0.899 0.889 0.939 upperarm 0.946 0.011 0.933 0.946 0.939 0.967 waist Weighted Avg. 0.929 0.012 0.93 0.929 0.929 0.959 === Confusion Matrix === a b c d e f g <-- classified as 402 1 3 0 1 17 0 | a = chest 7 376 14 1 2 10 14 | b = forearm 3 13 388 0 0 19 3 | c = head 2 1 1 413 4 2 2 | d = shin 6 1 3 6 401 2 7 | e = thigh 24 4 8 3 1 384 3 | f = upperarm 4 5 4 2 5 3 403 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2777 93.2505 % Incorrectly Classified Instances 201 6.7495 % Kappa statistic 0.9213 Mean absolute error 0.0193 Root mean squared error 0.1389 Relative absolute error 7.8744 % Root relative squared error 39.6848 % Total Number of Instances 2978 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.906 0.009 0.946 0.906 0.925 0.949 chest 0.932 0.013 0.923 0.932 0.927 0.959 forearm 0.93 0.013 0.921 0.93 0.925 0.958 head 0.965 0.005 0.967 0.965 0.966 0.98 shin 0.934 0.005 0.966 0.934 0.95 0.964 thigh 0.918 0.02 0.887 0.918 0.902 0.949 upperarm 0.944 0.013 0.922 0.944 0.933 0.965 waist Weighted Avg. 0.933 0.011 0.933 0.933 0.933 0.961 === Confusion Matrix === a b c d e f g <-- classified as 384 0 3 0 3 31 3 | a = chest 1 395 14 0 0 2 12 | b = forearm 2 19 396 0 1 6 2 | c = head 1 1 4 410 4 1 4 | d = shin 2 2 1 9 398 7 7 | e = thigh 12 4 9 3 1 392 6 | f = upperarm 4 7 3 2 5 3 402 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2755 92.5118 % Incorrectly Classified Instances 223 7.4882 % Kappa statistic 0.9126 Mean absolute error 0.0214 Root mean squared error 0.1463 Relative absolute error 8.7363 % Root relative squared error 41.8002 % Total Number of Instances 2978 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.917 0.016 0.903 0.917 0.91 0.951 chest 0.918 0.01 0.938 0.918 0.927 0.954 forearm 0.913 0.016 0.905 0.913 0.909 0.949 head 0.96 0.003 0.981 0.96 0.97 0.978 shin 0.925 0.006 0.961 0.925 0.943 0.959 thigh 0.88 0.017 0.895 0.88 0.888 0.932 upperarm 0.962 0.018 0.899 0.962 0.93 0.972 waist Weighted Avg. 0.925 0.012 0.926 0.925 0.925 0.956 === Confusion Matrix === a b c d e f g <-- classified as 389 3 5 0 1 23 3 | a = chest 5 390 13 0 1 2 14 | b = forearm 5 16 389 0 1 13 2 | c = head 1 0 1 408 8 2 5 | d = shin 3 0 4 6 394 4 15 | e = thigh 23 2 16 2 1 375 7 | f = upperarm 5 5 2 0 4 0 410 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2773 93.1162 % Incorrectly Classified Instances 205 6.8838 % Kappa statistic 0.9197 Mean absolute error 0.0197 Root mean squared error 0.1402 Relative absolute error 8.0311 % Root relative squared error 40.0777 % Total Number of Instances 2978 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.943 0.013 0.926 0.943 0.935 0.965 chest 0.922 0.015 0.91 0.922 0.916 0.954 forearm 0.93 0.012 0.93 0.93 0.93 0.959 head 0.974 0.005 0.972 0.974 0.973 0.985 shin 0.932 0.007 0.954 0.932 0.943 0.962 thigh 0.894 0.016 0.901 0.894 0.898 0.939 upperarm 0.923 0.012 0.927 0.923 0.925 0.955 waist Weighted Avg. 0.931 0.011 0.931 0.931 0.931 0.96 === Confusion Matrix === a b c d e f g <-- classified as 400 4 2 0 3 14 1 | a = chest 5 392 11 0 0 7 10 | b = forearm 2 16 396 0 1 10 1 | c = head 0 1 2 414 7 0 1 | d = shin 6 1 1 6 397 6 9 | e = thigh 12 6 11 4 3 381 9 | f = upperarm 7 11 3 2 5 5 393 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2773 93.1475 % Incorrectly Classified Instances 204 6.8525 % Kappa statistic 0.9201 Mean absolute error 0.0196 Root mean squared error 0.1399 Relative absolute error 7.9946 % Root relative squared error 39.9866 % Total Number of Instances 2977 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.922 0.007 0.954 0.922 0.938 0.957 chest 0.908 0.012 0.928 0.908 0.918 0.948 forearm 0.932 0.012 0.928 0.932 0.93 0.96 head 0.969 0.005 0.972 0.969 0.971 0.982 shin 0.946 0.008 0.953 0.946 0.949 0.969 thigh 0.906 0.022 0.875 0.906 0.89 0.942 upperarm 0.937 0.015 0.915 0.937 0.926 0.961 waist Weighted Avg. 0.931 0.011 0.932 0.931 0.932 0.96 === Confusion Matrix === a b c d e f g <-- classified as 392 3 2 0 3 24 1 | a = chest 2 385 9 2 1 9 16 | b = forearm 1 10 397 0 0 15 3 | c = head 1 2 0 412 4 1 5 | d = shin 3 0 0 7 402 5 8 | e = thigh 10 7 12 2 5 386 4 | f = upperarm 2 8 8 1 7 1 399 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2753 92.4756 % Incorrectly Classified Instances 224 7.5244 % Kappa statistic 0.9122 Mean absolute error 0.0215 Root mean squared error 0.1466 Relative absolute error 8.7784 % Root relative squared error 41.9009 % Total Number of Instances 2977 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.929 0.016 0.906 0.929 0.918 0.957 chest 0.934 0.012 0.93 0.934 0.932 0.961 forearm 0.89 0.013 0.922 0.89 0.906 0.939 head 0.948 0.004 0.978 0.948 0.963 0.972 shin 0.925 0.01 0.94 0.925 0.933 0.958 thigh 0.908 0.022 0.876 0.908 0.892 0.943 upperarm 0.939 0.013 0.926 0.939 0.932 0.963 waist Weighted Avg. 0.925 0.013 0.925 0.925 0.925 0.956 === Confusion Matrix === a b c d e f g <-- classified as 395 1 1 0 5 20 3 | a = chest 1 396 10 2 1 4 10 | b = forearm 7 19 379 0 1 19 1 | c = head 0 1 4 403 12 1 4 | d = shin 5 1 5 5 394 9 7 | e = thigh 20 3 8 1 0 387 7 | f = upperarm 8 5 4 1 6 2 399 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2765 92.8787 % Incorrectly Classified Instances 212 7.1213 % Kappa statistic 0.9169 Mean absolute error 0.0203 Root mean squared error 0.1426 Relative absolute error 8.3081 % Root relative squared error 40.7631 % Total Number of Instances 2977 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.953 0.02 0.89 0.953 0.92 0.967 chest 0.927 0.013 0.92 0.927 0.924 0.957 forearm 0.925 0.012 0.927 0.925 0.926 0.956 head 0.974 0.006 0.963 0.974 0.968 0.984 shin 0.934 0.005 0.966 0.934 0.95 0.964 thigh 0.904 0.016 0.906 0.904 0.905 0.944 upperarm 0.885 0.011 0.933 0.885 0.908 0.937 waist Weighted Avg. 0.929 0.012 0.929 0.929 0.929 0.958 === Confusion Matrix === a b c d e f g <-- classified as 405 1 3 0 1 13 2 | a = chest 3 393 10 3 1 3 11 | b = forearm 7 7 393 1 0 16 1 | c = head 3 1 3 413 4 0 0 | d = shin 6 2 1 5 398 4 10 | e = thigh 22 5 6 5 0 386 3 | f = upperarm 9 18 8 2 8 4 377 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2761 92.7444 % Incorrectly Classified Instances 216 7.2556 % Kappa statistic 0.9154 Mean absolute error 0.0207 Root mean squared error 0.144 Relative absolute error 8.4649 % Root relative squared error 41.1458 % Total Number of Instances 2977 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.929 0.016 0.908 0.929 0.919 0.957 chest 0.936 0.013 0.923 0.936 0.93 0.962 forearm 0.939 0.016 0.905 0.939 0.921 0.961 head 0.967 0.004 0.974 0.967 0.97 0.981 shin 0.915 0.006 0.963 0.915 0.939 0.955 thigh 0.885 0.018 0.892 0.885 0.888 0.934 upperarm 0.92 0.011 0.931 0.92 0.926 0.954 waist Weighted Avg. 0.927 0.012 0.928 0.927 0.928 0.958 === Confusion Matrix === a b c d e f g <-- classified as 395 3 5 0 1 19 2 | a = chest 2 397 13 1 2 2 7 | b = forearm 4 8 399 2 0 12 0 | c = head 3 2 2 410 3 1 3 | d = shin 5 1 3 6 390 9 12 | e = thigh 23 3 14 1 3 378 5 | f = upperarm 3 16 5 1 6 3 392 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2756 92.5764 % Incorrectly Classified Instances 221 7.4236 % Kappa statistic 0.9134 Mean absolute error 0.0212 Root mean squared error 0.1456 Relative absolute error 8.6609 % Root relative squared error 41.6193 % Total Number of Instances 2977 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.932 0.018 0.894 0.932 0.912 0.957 chest 0.929 0.014 0.918 0.929 0.924 0.958 forearm 0.918 0.016 0.903 0.918 0.91 0.951 head 0.965 0.005 0.971 0.965 0.968 0.98 shin 0.93 0.007 0.959 0.93 0.944 0.961 thigh 0.867 0.016 0.9 0.867 0.883 0.925 upperarm 0.941 0.011 0.937 0.941 0.939 0.965 waist Weighted Avg. 0.926 0.012 0.926 0.926 0.926 0.957 === Confusion Matrix === a b c d e f g <-- classified as 396 2 6 0 4 13 4 | a = chest 0 394 14 4 0 3 9 | b = forearm 3 15 390 1 0 13 3 | c = head 2 1 2 409 7 2 1 | d = shin 13 2 1 4 396 8 2 | e = thigh 23 4 17 3 2 370 8 | f = upperarm 6 11 2 0 4 2 401 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 2 FOLD: 0 Correctly Classified Instances 2773 93.1162 % Incorrectly Classified Instances 205 6.8838 % Kappa statistic 0.9197 Mean absolute error 0.0197 Root mean squared error 0.1402 Relative absolute error 8.0311 % Root relative squared error 40.0777 % Total Number of Instances 2978 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.953 0.017 0.904 0.953 0.928 0.968 chest 0.927 0.008 0.949 0.927 0.938 0.959 forearm 0.93 0.013 0.921 0.93 0.925 0.958 head 0.96 0.005 0.967 0.96 0.963 0.977 shin 0.93 0.009 0.943 0.93 0.936 0.96 thigh 0.897 0.016 0.905 0.897 0.901 0.941 upperarm 0.923 0.011 0.931 0.923 0.927 0.956 waist Weighted Avg. 0.931 0.011 0.931 0.931 0.931 0.96 === Confusion Matrix === a b c d e f g <-- classified as 404 0 2 0 2 16 0 | a = chest 4 393 15 0 0 1 11 | b = forearm 3 9 396 1 0 14 3 | c = head 2 2 2 408 7 1 3 | d = shin 7 0 1 8 396 8 6 | e = thigh 18 3 10 2 5 383 6 | f = upperarm 9 7 4 3 10 0 393 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2766 92.8811 % Incorrectly Classified Instances 212 7.1189 % Kappa statistic 0.9169 Mean absolute error 0.0203 Root mean squared error 0.1426 Relative absolute error 8.3054 % Root relative squared error 40.7562 % Total Number of Instances 2978 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.934 0.014 0.915 0.934 0.924 0.96 chest 0.922 0.016 0.905 0.922 0.914 0.953 forearm 0.906 0.011 0.93 0.906 0.918 0.947 head 0.976 0.004 0.974 0.976 0.975 0.986 shin 0.92 0.004 0.973 0.92 0.946 0.958 thigh 0.913 0.019 0.89 0.913 0.902 0.947 upperarm 0.929 0.014 0.919 0.929 0.924 0.958 waist Weighted Avg. 0.929 0.012 0.929 0.929 0.929 0.958 === Confusion Matrix === a b c d e f g <-- classified as 397 4 2 0 1 20 1 | a = chest 6 391 8 2 0 3 14 | b = forearm 2 21 386 1 0 15 1 | c = head 1 1 0 415 4 0 4 | d = shin 8 1 2 2 392 6 15 | e = thigh 17 3 11 6 0 390 0 | f = upperarm 3 11 6 0 6 4 395 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2764 92.814 % Incorrectly Classified Instances 214 7.186 % Kappa statistic 0.9162 Mean absolute error 0.0205 Root mean squared error 0.1433 Relative absolute error 8.3837 % Root relative squared error 40.948 % Total Number of Instances 2978 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.932 0.02 0.884 0.932 0.907 0.956 chest 0.915 0.011 0.93 0.915 0.923 0.952 forearm 0.937 0.014 0.919 0.937 0.928 0.961 head 0.981 0.006 0.965 0.981 0.973 0.988 shin 0.908 0.005 0.968 0.908 0.937 0.952 thigh 0.904 0.018 0.893 0.904 0.898 0.943 upperarm 0.92 0.009 0.942 0.92 0.931 0.955 waist Weighted Avg. 0.928 0.012 0.929 0.928 0.928 0.958 === Confusion Matrix === a b c d e f g <-- classified as 396 2 3 0 1 21 2 | a = chest 4 388 13 1 2 6 10 | b = forearm 4 9 399 1 1 11 1 | c = head 2 0 1 417 4 0 1 | d = shin 9 3 4 10 387 4 9 | e = thigh 26 4 7 2 1 385 1 | f = upperarm 7 11 7 1 4 4 392 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2763 92.7804 % Incorrectly Classified Instances 215 7.2196 % Kappa statistic 0.9158 Mean absolute error 0.0206 Root mean squared error 0.1436 Relative absolute error 8.4229 % Root relative squared error 41.0436 % Total Number of Instances 2978 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.936 0.019 0.892 0.936 0.914 0.959 chest 0.929 0.014 0.918 0.929 0.924 0.958 forearm 0.906 0.013 0.921 0.906 0.914 0.947 head 0.965 0.004 0.976 0.965 0.97 0.98 shin 0.937 0.006 0.964 0.937 0.95 0.965 thigh 0.885 0.018 0.893 0.885 0.889 0.934 upperarm 0.937 0.011 0.932 0.937 0.934 0.963 waist Weighted Avg. 0.928 0.012 0.928 0.928 0.928 0.958 === Confusion Matrix === a b c d e f g <-- classified as 398 2 3 0 1 20 1 | a = chest 2 394 12 0 1 3 12 | b = forearm 3 19 386 0 0 16 2 | c = head 3 1 2 410 7 0 2 | d = shin 4 1 1 9 399 5 7 | e = thigh 31 1 12 0 0 377 5 | f = upperarm 5 11 3 1 6 1 399 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2782 93.4184 % Incorrectly Classified Instances 196 6.5816 % Kappa statistic 0.9232 Mean absolute error 0.0188 Root mean squared error 0.1371 Relative absolute error 7.6785 % Root relative squared error 39.1881 % Total Number of Instances 2978 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.96 0.012 0.932 0.96 0.946 0.974 chest 0.901 0.011 0.932 0.901 0.916 0.945 forearm 0.93 0.014 0.917 0.93 0.923 0.958 head 0.962 0.004 0.974 0.962 0.968 0.979 shin 0.941 0.005 0.969 0.941 0.955 0.968 thigh 0.899 0.014 0.912 0.899 0.905 0.942 upperarm 0.946 0.016 0.908 0.946 0.926 0.965 waist Weighted Avg. 0.934 0.011 0.935 0.934 0.934 0.962 === Confusion Matrix === a b c d e f g <-- classified as 408 2 2 0 1 10 2 | a = chest 4 382 17 0 1 5 15 | b = forearm 2 10 396 2 0 13 3 | c = head 2 0 2 409 4 3 5 | d = shin 6 0 0 5 401 5 9 | e = thigh 15 2 12 3 4 383 7 | f = upperarm 1 14 3 1 3 1 403 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2775 93.2146 % Incorrectly Classified Instances 202 6.7854 % Kappa statistic 0.9208 Mean absolute error 0.0194 Root mean squared error 0.1392 Relative absolute error 7.9163 % Root relative squared error 39.7901 % Total Number of Instances 2977 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.932 0.014 0.917 0.932 0.924 0.959 chest 0.943 0.011 0.932 0.943 0.938 0.966 forearm 0.92 0.013 0.922 0.92 0.921 0.954 head 0.962 0.004 0.976 0.962 0.969 0.979 shin 0.918 0.007 0.954 0.918 0.935 0.955 thigh 0.913 0.018 0.896 0.913 0.905 0.948 upperarm 0.937 0.012 0.93 0.937 0.933 0.962 waist Weighted Avg. 0.932 0.011 0.932 0.932 0.932 0.96 === Confusion Matrix === a b c d e f g <-- classified as 396 1 2 0 5 20 1 | a = chest 1 400 12 1 0 3 7 | b = forearm 7 14 392 0 0 12 1 | c = head 2 0 3 409 8 0 3 | d = shin 10 1 3 5 390 8 8 | e = thigh 9 3 10 3 2 389 10 | f = upperarm 7 10 3 1 4 2 399 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2726 91.5687 % Incorrectly Classified Instances 251 8.4313 % Kappa statistic 0.9016 Mean absolute error 0.0241 Root mean squared error 0.1552 Relative absolute error 9.8365 % Root relative squared error 44.3543 % Total Number of Instances 2977 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.906 0.014 0.912 0.906 0.909 0.946 chest 0.934 0.018 0.896 0.934 0.915 0.958 forearm 0.885 0.013 0.917 0.885 0.901 0.936 head 0.965 0.006 0.965 0.965 0.965 0.979 shin 0.901 0.007 0.953 0.901 0.926 0.947 thigh 0.888 0.025 0.854 0.888 0.87 0.931 upperarm 0.932 0.014 0.919 0.932 0.925 0.959 waist Weighted Avg. 0.916 0.014 0.916 0.916 0.916 0.951 === Confusion Matrix === a b c d e f g <-- classified as 385 4 5 0 4 26 1 | a = chest 4 396 8 3 1 4 8 | b = forearm 5 19 376 0 1 21 3 | c = head 1 2 3 409 2 2 5 | d = shin 6 4 1 11 384 9 11 | e = thigh 14 8 17 0 2 379 7 | f = upperarm 7 9 0 1 9 3 397 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2739 92.0054 % Incorrectly Classified Instances 238 7.9946 % Kappa statistic 0.9067 Mean absolute error 0.0228 Root mean squared error 0.1511 Relative absolute error 9.3271 % Root relative squared error 43.1904 % Total Number of Instances 2977 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.901 0.011 0.934 0.901 0.917 0.945 chest 0.904 0.013 0.919 0.904 0.911 0.945 forearm 0.925 0.017 0.901 0.925 0.913 0.954 head 0.955 0.005 0.971 0.955 0.963 0.975 shin 0.925 0.007 0.954 0.925 0.939 0.959 thigh 0.892 0.022 0.872 0.892 0.882 0.935 upperarm 0.939 0.018 0.895 0.939 0.916 0.96 waist Weighted Avg. 0.92 0.013 0.921 0.92 0.92 0.953 === Confusion Matrix === a b c d e f g <-- classified as 382 2 6 0 6 19 9 | a = chest 1 384 17 3 1 6 13 | b = forearm 4 8 393 0 0 19 1 | c = head 1 3 5 405 4 2 4 | d = shin 4 1 1 7 394 8 11 | e = thigh 13 8 11 2 3 381 9 | f = upperarm 4 12 3 0 5 2 400 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2781 93.4162 % Incorrectly Classified Instances 196 6.5838 % Kappa statistic 0.9232 Mean absolute error 0.0188 Root mean squared error 0.1372 Relative absolute error 7.6811 % Root relative squared error 39.1947 % Total Number of Instances 2977 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.932 0.009 0.943 0.932 0.937 0.961 chest 0.915 0.011 0.933 0.915 0.924 0.952 forearm 0.92 0.012 0.927 0.92 0.923 0.954 head 0.967 0.004 0.976 0.967 0.972 0.982 shin 0.953 0.007 0.955 0.953 0.954 0.973 thigh 0.902 0.02 0.883 0.902 0.892 0.941 upperarm 0.951 0.013 0.925 0.951 0.938 0.969 waist Weighted Avg. 0.934 0.011 0.934 0.934 0.934 0.962 === Confusion Matrix === a b c d e f g <-- classified as 395 5 2 0 0 20 2 | a = chest 0 389 13 1 0 8 14 | b = forearm 5 10 391 0 0 16 3 | c = head 2 2 0 410 7 1 2 | d = shin 2 1 4 3 406 4 6 | e = thigh 12 6 10 5 3 385 6 | f = upperarm 3 4 2 1 9 2 405 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2769 93.0131 % Incorrectly Classified Instances 208 6.9869 % Kappa statistic 0.9185 Mean absolute error 0.02 Root mean squared error 0.1413 Relative absolute error 8.1514 % Root relative squared error 40.3767 % Total Number of Instances 2977 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.906 0.013 0.923 0.906 0.914 0.947 chest 0.917 0.009 0.944 0.917 0.931 0.954 forearm 0.925 0.01 0.94 0.925 0.933 0.958 head 0.965 0.005 0.967 0.965 0.966 0.98 shin 0.939 0.007 0.957 0.939 0.948 0.966 thigh 0.909 0.022 0.876 0.909 0.892 0.944 upperarm 0.951 0.016 0.908 0.951 0.929 0.967 waist Weighted Avg. 0.93 0.012 0.931 0.93 0.93 0.959 === Confusion Matrix === a b c d e f g <-- classified as 384 1 2 0 2 30 5 | a = chest 3 389 13 2 1 2 14 | b = forearm 2 9 394 2 1 12 6 | c = head 2 1 0 409 7 3 2 | d = shin 4 0 1 4 400 7 10 | e = thigh 19 3 5 5 3 388 4 | f = upperarm 2 9 4 1 4 1 405 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 3 FOLD: 0 Correctly Classified Instances 2746 92.2095 % Incorrectly Classified Instances 232 7.7905 % Kappa statistic 0.9091 Mean absolute error 0.0223 Root mean squared error 0.1492 Relative absolute error 9.0889 % Root relative squared error 42.6354 % Total Number of Instances 2978 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.906 0.014 0.914 0.906 0.91 0.946 chest 0.92 0.016 0.905 0.92 0.912 0.952 forearm 0.934 0.014 0.919 0.934 0.927 0.96 head 0.965 0.005 0.972 0.965 0.968 0.98 shin 0.93 0.009 0.947 0.93 0.938 0.96 thigh 0.894 0.02 0.88 0.894 0.887 0.937 upperarm 0.906 0.013 0.919 0.906 0.913 0.946 waist Weighted Avg. 0.922 0.013 0.922 0.922 0.922 0.955 === Confusion Matrix === a b c d e f g <-- classified as 385 5 4 0 2 28 1 | a = chest 3 390 10 1 1 7 12 | b = forearm 2 11 398 1 1 11 2 | c = head 1 3 1 410 7 1 2 | d = shin 9 2 4 5 396 2 8 | e = thigh 15 4 12 3 2 381 9 | f = upperarm 6 16 4 2 9 3 386 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2746 92.2095 % Incorrectly Classified Instances 232 7.7905 % Kappa statistic 0.9091 Mean absolute error 0.0223 Root mean squared error 0.1492 Relative absolute error 9.0889 % Root relative squared error 42.6354 % Total Number of Instances 2978 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.939 0.018 0.895 0.939 0.916 0.96 chest 0.922 0.019 0.889 0.922 0.905 0.951 forearm 0.899 0.011 0.932 0.899 0.915 0.944 head 0.96 0.004 0.978 0.96 0.969 0.978 shin 0.93 0.006 0.961 0.93 0.945 0.962 thigh 0.876 0.018 0.89 0.876 0.883 0.929 upperarm 0.93 0.014 0.915 0.93 0.922 0.958 waist Weighted Avg. 0.922 0.013 0.923 0.922 0.922 0.955 === Confusion Matrix === a b c d e f g <-- classified as 399 3 2 0 1 19 1 | a = chest 3 391 16 2 0 0 12 | b = forearm 5 18 383 1 0 16 3 | c = head 3 3 3 408 7 1 0 | d = shin 3 2 0 3 396 10 12 | e = thigh 26 8 6 3 1 373 9 | f = upperarm 7 15 1 0 7 0 396 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2775 93.1833 % Incorrectly Classified Instances 203 6.8167 % Kappa statistic 0.9205 Mean absolute error 0.0195 Root mean squared error 0.1396 Relative absolute error 7.9528 % Root relative squared error 39.8818 % Total Number of Instances 2978 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.936 0.014 0.919 0.936 0.928 0.961 chest 0.929 0.013 0.923 0.929 0.926 0.958 forearm 0.901 0.01 0.937 0.901 0.919 0.946 head 0.976 0.006 0.963 0.976 0.97 0.985 shin 0.93 0.006 0.961 0.93 0.945 0.962 thigh 0.92 0.02 0.887 0.92 0.903 0.95 upperarm 0.93 0.011 0.936 0.93 0.933 0.959 waist Weighted Avg. 0.932 0.011 0.932 0.932 0.932 0.96 === Confusion Matrix === a b c d e f g <-- classified as 398 1 2 0 4 20 0 | a = chest 5 394 8 1 2 4 10 | b = forearm 4 18 384 2 0 15 3 | c = head 0 0 1 414 4 1 4 | d = shin 7 0 1 9 396 5 8 | e = thigh 16 6 8 1 1 393 2 | f = upperarm 3 8 6 3 5 5 396 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2764 92.814 % Incorrectly Classified Instances 214 7.186 % Kappa statistic 0.9162 Mean absolute error 0.0205 Root mean squared error 0.1433 Relative absolute error 8.3837 % Root relative squared error 40.948 % Total Number of Instances 2978 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.934 0.017 0.902 0.934 0.918 0.959 chest 0.925 0.01 0.94 0.925 0.932 0.957 forearm 0.906 0.012 0.926 0.906 0.916 0.947 head 0.955 0.004 0.974 0.955 0.964 0.975 shin 0.939 0.009 0.946 0.939 0.942 0.965 thigh 0.892 0.019 0.886 0.892 0.889 0.937 upperarm 0.946 0.013 0.926 0.946 0.936 0.967 waist Weighted Avg. 0.928 0.012 0.928 0.928 0.928 0.958 === Confusion Matrix === a b c d e f g <-- classified as 397 2 3 0 3 16 4 | a = chest 4 392 10 1 0 7 10 | b = forearm 7 14 386 0 1 15 3 | c = head 2 3 2 405 8 2 2 | d = shin 3 1 1 7 400 6 8 | e = thigh 23 2 10 2 4 381 5 | f = upperarm 4 3 5 1 7 3 403 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2767 92.9147 % Incorrectly Classified Instances 211 7.0853 % Kappa statistic 0.9173 Mean absolute error 0.0202 Root mean squared error 0.1423 Relative absolute error 8.2662 % Root relative squared error 40.66 % Total Number of Instances 2978 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.944 0.016 0.909 0.944 0.926 0.964 chest 0.92 0.01 0.938 0.92 0.929 0.955 forearm 0.923 0.012 0.927 0.923 0.925 0.955 head 0.972 0.003 0.983 0.972 0.977 0.984 shin 0.927 0.005 0.971 0.927 0.948 0.961 thigh 0.892 0.022 0.87 0.892 0.881 0.935 upperarm 0.927 0.015 0.912 0.927 0.92 0.956 waist Weighted Avg. 0.929 0.012 0.93 0.929 0.929 0.959 === Confusion Matrix === a b c d e f g <-- classified as 401 1 0 0 2 19 2 | a = chest 5 390 13 0 0 4 12 | b = forearm 1 11 393 1 1 18 1 | c = head 1 1 2 412 4 1 3 | d = shin 4 1 3 4 395 10 9 | e = thigh 19 4 11 1 0 381 11 | f = upperarm 10 8 2 1 5 5 395 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2763 92.8116 % Incorrectly Classified Instances 214 7.1884 % Kappa statistic 0.9161 Mean absolute error 0.0205 Root mean squared error 0.1433 Relative absolute error 8.3865 % Root relative squared error 40.9549 % Total Number of Instances 2977 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.932 0.014 0.917 0.932 0.924 0.959 chest 0.904 0.011 0.932 0.904 0.918 0.946 forearm 0.908 0.015 0.91 0.908 0.909 0.947 head 0.965 0.005 0.969 0.965 0.967 0.98 shin 0.927 0.005 0.971 0.927 0.948 0.961 thigh 0.923 0.016 0.906 0.923 0.914 0.953 upperarm 0.939 0.018 0.897 0.939 0.917 0.96 waist Weighted Avg. 0.928 0.012 0.929 0.928 0.928 0.958 === Confusion Matrix === a b c d e f g <-- classified as 396 0 8 0 0 16 5 | a = chest 0 384 15 2 0 5 19 | b = forearm 6 13 386 0 0 16 4 | c = head 0 2 2 409 6 1 4 | d = shin 7 1 2 7 395 2 12 | e = thigh 19 1 6 2 3 394 2 | f = upperarm 4 11 5 2 3 1 399 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2785 93.5506 % Incorrectly Classified Instances 192 6.4494 % Kappa statistic 0.9248 Mean absolute error 0.0184 Root mean squared error 0.1357 Relative absolute error 7.5244 % Root relative squared error 38.7927 % Total Number of Instances 2977 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.955 0.015 0.914 0.955 0.934 0.97 chest 0.911 0.008 0.949 0.911 0.929 0.951 forearm 0.934 0.015 0.911 0.934 0.922 0.959 head 0.967 0.004 0.979 0.967 0.973 0.982 shin 0.934 0.007 0.959 0.934 0.946 0.964 thigh 0.895 0.016 0.903 0.895 0.899 0.939 upperarm 0.953 0.011 0.938 0.953 0.945 0.971 waist Weighted Avg. 0.936 0.011 0.936 0.936 0.936 0.962 === Confusion Matrix === a b c d e f g <-- classified as 405 1 1 0 3 13 1 | a = chest 3 387 15 3 1 7 9 | b = forearm 3 11 397 0 0 13 1 | c = head 2 0 2 411 6 1 3 | d = shin 7 2 2 4 397 6 7 | e = thigh 20 1 16 2 0 382 6 | f = upperarm 3 6 3 0 7 1 406 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2760 92.7108 % Incorrectly Classified Instances 217 7.2892 % Kappa statistic 0.915 Mean absolute error 0.0208 Root mean squared error 0.1443 Relative absolute error 8.5041 % Root relative squared error 41.241 % Total Number of Instances 2977 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.925 0.016 0.907 0.925 0.916 0.954 chest 0.953 0.011 0.935 0.953 0.944 0.971 forearm 0.915 0.011 0.935 0.915 0.925 0.952 head 0.972 0.007 0.956 0.972 0.964 0.982 shin 0.93 0.007 0.959 0.93 0.944 0.961 thigh 0.857 0.02 0.876 0.857 0.866 0.918 upperarm 0.939 0.013 0.922 0.939 0.93 0.963 waist Weighted Avg. 0.927 0.012 0.927 0.927 0.927 0.957 === Confusion Matrix === a b c d e f g <-- classified as 392 3 3 0 2 21 3 | a = chest 1 404 6 0 0 2 11 | b = forearm 3 11 389 0 0 22 0 | c = head 1 0 2 413 2 0 7 | d = shin 9 0 2 8 396 5 6 | e = thigh 21 4 12 10 7 366 7 | f = upperarm 5 10 2 1 6 2 400 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2772 93.1139 % Incorrectly Classified Instances 205 6.8861 % Kappa statistic 0.9197 Mean absolute error 0.0197 Root mean squared error 0.1403 Relative absolute error 8.0338 % Root relative squared error 40.0845 % Total Number of Instances 2977 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.929 0.012 0.927 0.929 0.928 0.959 chest 0.887 0.011 0.931 0.887 0.908 0.938 forearm 0.939 0.019 0.891 0.939 0.914 0.96 head 0.962 0.004 0.974 0.962 0.968 0.979 shin 0.948 0.005 0.969 0.948 0.958 0.972 thigh 0.923 0.02 0.887 0.923 0.904 0.951 upperarm 0.93 0.009 0.945 0.93 0.937 0.96 waist Weighted Avg. 0.931 0.011 0.932 0.931 0.931 0.96 === Confusion Matrix === a b c d e f g <-- classified as 394 2 4 0 1 23 0 | a = chest 4 376 22 5 0 7 10 | b = forearm 2 9 400 0 0 11 4 | c = head 2 0 3 409 6 2 3 | d = shin 2 4 2 5 404 5 4 | e = thigh 16 3 11 0 1 393 2 | f = upperarm 5 10 7 1 5 2 396 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2755 92.5428 % Incorrectly Classified Instances 222 7.4572 % Kappa statistic 0.913 Mean absolute error 0.0213 Root mean squared error 0.146 Relative absolute error 8.7 % Root relative squared error 41.7134 % Total Number of Instances 2977 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.941 0.02 0.889 0.941 0.914 0.961 chest 0.941 0.011 0.934 0.941 0.938 0.965 forearm 0.93 0.013 0.921 0.93 0.925 0.958 head 0.962 0.005 0.967 0.962 0.965 0.978 shin 0.883 0.007 0.954 0.883 0.917 0.938 thigh 0.88 0.018 0.893 0.88 0.887 0.931 upperarm 0.941 0.013 0.924 0.941 0.933 0.964 waist Weighted Avg. 0.925 0.012 0.926 0.925 0.925 0.957 === Confusion Matrix === a b c d e f g <-- classified as 399 1 3 0 2 17 2 | a = chest 2 399 11 0 2 3 7 | b = forearm 2 13 396 1 0 11 3 | c = head 3 1 2 409 5 1 4 | d = shin 14 0 2 11 376 11 12 | e = thigh 24 5 13 1 3 375 5 | f = upperarm 5 8 3 1 6 2 401 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 4 FOLD: 0 Correctly Classified Instances 2769 92.9819 % Incorrectly Classified Instances 209 7.0181 % Kappa statistic 0.9181 Mean absolute error 0.0201 Root mean squared error 0.1416 Relative absolute error 8.1878 % Root relative squared error 40.4668 % Total Number of Instances 2978 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.96 0.013 0.923 0.96 0.941 0.973 chest 0.901 0.008 0.95 0.901 0.925 0.947 forearm 0.93 0.016 0.906 0.93 0.918 0.957 head 0.958 0.006 0.964 0.958 0.961 0.976 shin 0.927 0.007 0.956 0.927 0.942 0.96 thigh 0.904 0.018 0.894 0.904 0.899 0.943 upperarm 0.93 0.014 0.919 0.93 0.924 0.958 waist Weighted Avg. 0.93 0.012 0.93 0.93 0.93 0.959 === Confusion Matrix === a b c d e f g <-- classified as 408 0 2 1 2 10 2 | a = chest 1 382 22 2 0 3 14 | b = forearm 3 6 396 0 0 19 2 | c = head 1 0 4 406 8 1 4 | d = shin 4 0 2 8 395 10 7 | e = thigh 18 4 7 4 2 386 6 | f = upperarm 7 10 4 0 6 3 396 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2770 93.0154 % Incorrectly Classified Instances 208 6.9846 % Kappa statistic 0.9185 Mean absolute error 0.02 Root mean squared error 0.1413 Relative absolute error 8.1487 % Root relative squared error 40.3699 % Total Number of Instances 2978 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.939 0.016 0.909 0.939 0.924 0.962 chest 0.939 0.01 0.941 0.939 0.94 0.964 forearm 0.913 0.011 0.931 0.913 0.922 0.951 head 0.96 0.004 0.974 0.96 0.967 0.978 shin 0.927 0.009 0.947 0.927 0.937 0.959 thigh 0.895 0.019 0.888 0.895 0.891 0.938 upperarm 0.939 0.013 0.924 0.939 0.931 0.963 waist Weighted Avg. 0.93 0.012 0.93 0.93 0.93 0.959 === Confusion Matrix === a b c d e f g <-- classified as 399 1 2 0 1 20 2 | a = chest 4 398 11 0 0 2 9 | b = forearm 3 14 389 1 0 17 2 | c = head 1 0 2 407 9 1 4 | d = shin 7 2 3 7 395 4 8 | e = thigh 23 0 8 3 3 382 8 | f = upperarm 2 8 3 0 9 4 400 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2767 92.9147 % Incorrectly Classified Instances 211 7.0853 % Kappa statistic 0.9173 Mean absolute error 0.0202 Root mean squared error 0.1423 Relative absolute error 8.2662 % Root relative squared error 40.66 % Total Number of Instances 2978 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.925 0.019 0.889 0.925 0.906 0.953 chest 0.918 0.011 0.931 0.918 0.924 0.953 forearm 0.934 0.011 0.932 0.934 0.933 0.961 head 0.965 0.006 0.962 0.965 0.963 0.979 shin 0.923 0.006 0.963 0.923 0.942 0.958 thigh 0.904 0.019 0.889 0.904 0.897 0.943 upperarm 0.937 0.01 0.941 0.937 0.939 0.963 waist Weighted Avg. 0.929 0.012 0.93 0.929 0.929 0.959 === Confusion Matrix === a b c d e f g <-- classified as 392 1 5 0 4 21 1 | a = chest 5 390 11 3 0 7 9 | b = forearm 8 9 398 0 1 9 1 | c = head 2 4 0 409 5 1 3 | d = shin 5 1 1 9 393 9 8 | e = thigh 20 5 9 3 1 386 3 | f = upperarm 9 9 3 1 4 1 399 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2783 93.452 % Incorrectly Classified Instances 195 6.548 % Kappa statistic 0.9236 Mean absolute error 0.0187 Root mean squared error 0.1368 Relative absolute error 7.6394 % Root relative squared error 39.088 % Total Number of Instances 2978 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.946 0.017 0.901 0.946 0.923 0.964 chest 0.939 0.011 0.932 0.939 0.936 0.964 forearm 0.932 0.011 0.936 0.932 0.934 0.961 head 0.969 0.003 0.983 0.969 0.976 0.983 shin 0.937 0.009 0.943 0.937 0.94 0.964 thigh 0.89 0.015 0.909 0.89 0.899 0.938 upperarm 0.93 0.01 0.938 0.93 0.934 0.96 waist Weighted Avg. 0.935 0.011 0.935 0.935 0.935 0.962 === Confusion Matrix === a b c d e f g <-- classified as 401 0 4 0 2 15 2 | a = chest 0 399 9 0 0 6 11 | b = forearm 6 11 397 0 1 8 3 | c = head 2 1 1 411 6 2 1 | d = shin 7 2 2 4 399 6 6 | e = thigh 21 6 10 1 6 380 3 | f = upperarm 8 9 1 2 9 1 396 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2745 92.176 % Incorrectly Classified Instances 233 7.824 % Kappa statistic 0.9087 Mean absolute error 0.0224 Root mean squared error 0.1495 Relative absolute error 9.1281 % Root relative squared error 42.7272 % Total Number of Instances 2978 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.922 0.013 0.922 0.922 0.922 0.955 chest 0.906 0.014 0.916 0.906 0.911 0.946 forearm 0.918 0.019 0.891 0.918 0.904 0.95 head 0.962 0.005 0.971 0.962 0.967 0.979 shin 0.918 0.009 0.947 0.918 0.932 0.955 thigh 0.897 0.02 0.882 0.897 0.89 0.938 upperarm 0.93 0.013 0.925 0.93 0.927 0.959 waist Weighted Avg. 0.922 0.013 0.922 0.922 0.922 0.954 === Confusion Matrix === a b c d e f g <-- classified as 391 1 6 0 4 18 4 | a = chest 4 384 17 2 1 5 11 | b = forearm 6 12 391 1 1 14 1 | c = head 3 1 3 409 6 1 2 | d = shin 4 0 2 6 391 12 11 | e = thigh 14 5 17 2 3 383 3 | f = upperarm 2 16 3 1 7 1 396 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2776 93.2482 % Incorrectly Classified Instances 201 6.7518 % Kappa statistic 0.9212 Mean absolute error 0.0193 Root mean squared error 0.1389 Relative absolute error 7.8771 % Root relative squared error 39.6915 % Total Number of Instances 2977 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.946 0.018 0.899 0.946 0.922 0.964 chest 0.936 0.01 0.941 0.936 0.939 0.963 forearm 0.918 0.014 0.918 0.918 0.918 0.952 head 0.962 0.004 0.976 0.962 0.969 0.979 shin 0.937 0.007 0.959 0.937 0.948 0.965 thigh 0.881 0.015 0.906 0.881 0.893 0.933 upperarm 0.948 0.012 0.931 0.948 0.939 0.968 waist Weighted Avg. 0.932 0.011 0.933 0.932 0.932 0.961 === Confusion Matrix === a b c d e f g <-- classified as 401 4 2 0 2 15 0 | a = chest 2 397 11 0 2 0 12 | b = forearm 5 10 391 0 0 17 3 | c = head 2 1 4 409 6 0 3 | d = shin 5 1 1 7 399 5 8 | e = thigh 24 4 13 2 4 376 4 | f = upperarm 7 5 4 1 3 2 403 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2744 92.1733 % Incorrectly Classified Instances 233 7.8267 % Kappa statistic 0.9087 Mean absolute error 0.0224 Root mean squared error 0.1495 Relative absolute error 9.1311 % Root relative squared error 42.7343 % Total Number of Instances 2977 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.932 0.018 0.898 0.932 0.915 0.957 chest 0.903 0.012 0.925 0.903 0.914 0.946 forearm 0.911 0.015 0.911 0.911 0.911 0.948 head 0.962 0.005 0.969 0.962 0.966 0.979 shin 0.911 0.007 0.953 0.911 0.931 0.952 thigh 0.89 0.016 0.9 0.89 0.895 0.937 upperarm 0.944 0.018 0.899 0.944 0.921 0.963 waist Weighted Avg. 0.922 0.013 0.922 0.922 0.922 0.954 === Confusion Matrix === a b c d e f g <-- classified as 396 2 1 0 4 20 2 | a = chest 5 383 15 2 0 5 14 | b = forearm 5 17 388 0 0 12 4 | c = head 0 0 3 409 9 0 4 | d = shin 8 1 4 8 387 4 13 | e = thigh 22 3 11 2 1 379 8 | f = upperarm 5 8 4 1 5 1 402 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2750 92.3749 % Incorrectly Classified Instances 227 7.6251 % Kappa statistic 0.911 Mean absolute error 0.0218 Root mean squared error 0.1476 Relative absolute error 8.896 % Root relative squared error 42.1805 % Total Number of Instances 2977 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.904 0.013 0.921 0.904 0.912 0.945 chest 0.927 0.018 0.895 0.927 0.911 0.954 forearm 0.918 0.013 0.922 0.918 0.92 0.952 head 0.976 0.004 0.974 0.976 0.975 0.986 shin 0.915 0.007 0.956 0.915 0.935 0.954 thigh 0.904 0.022 0.875 0.904 0.889 0.941 upperarm 0.923 0.012 0.927 0.923 0.925 0.955 waist Weighted Avg. 0.924 0.013 0.924 0.924 0.924 0.956 === Confusion Matrix === a b c d e f g <-- classified as 384 4 3 0 2 29 3 | a = chest 3 393 15 0 0 2 11 | b = forearm 1 19 390 0 0 14 1 | c = head 2 1 0 415 3 2 2 | d = shin 8 4 3 6 390 5 10 | e = thigh 16 7 8 3 3 385 4 | f = upperarm 3 11 4 2 10 3 393 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2757 92.61 % Incorrectly Classified Instances 220 7.39 % Kappa statistic 0.9138 Mean absolute error 0.0211 Root mean squared error 0.1453 Relative absolute error 8.6217 % Root relative squared error 41.5251 % Total Number of Instances 2977 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.922 0.012 0.927 0.922 0.925 0.955 chest 0.936 0.015 0.911 0.936 0.923 0.961 forearm 0.932 0.017 0.9 0.932 0.916 0.957 head 0.967 0.005 0.972 0.967 0.969 0.981 shin 0.934 0.007 0.957 0.934 0.945 0.964 thigh 0.876 0.017 0.897 0.876 0.886 0.929 upperarm 0.915 0.013 0.922 0.915 0.919 0.951 waist Weighted Avg. 0.926 0.012 0.926 0.926 0.926 0.957 === Confusion Matrix === a b c d e f g <-- classified as 392 2 7 0 1 20 3 | a = chest 4 397 9 3 0 3 8 | b = forearm 1 15 396 1 1 11 0 | c = head 3 0 2 411 3 1 5 | d = shin 6 1 1 5 398 5 10 | e = thigh 13 8 22 2 1 373 7 | f = upperarm 4 13 3 1 12 3 390 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2761 92.7444 % Incorrectly Classified Instances 216 7.2556 % Kappa statistic 0.9154 Mean absolute error 0.0207 Root mean squared error 0.144 Relative absolute error 8.4649 % Root relative squared error 41.1458 % Total Number of Instances 2977 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.918 0.016 0.907 0.918 0.912 0.951 chest 0.934 0.014 0.917 0.934 0.925 0.96 forearm 0.918 0.016 0.907 0.918 0.912 0.951 head 0.967 0.004 0.976 0.967 0.972 0.982 shin 0.944 0.008 0.953 0.944 0.948 0.968 thigh 0.885 0.018 0.889 0.885 0.887 0.933 upperarm 0.927 0.009 0.945 0.927 0.936 0.959 waist Weighted Avg. 0.927 0.012 0.928 0.927 0.928 0.958 === Confusion Matrix === a b c d e f g <-- classified as 390 6 3 0 2 22 2 | a = chest 4 396 12 0 3 2 7 | b = forearm 3 14 390 0 1 15 2 | c = head 2 2 4 411 3 0 3 | d = shin 6 1 1 6 402 6 4 | e = thigh 21 1 14 3 5 377 5 | f = upperarm 4 12 6 1 6 2 395 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 5 FOLD: 0 Correctly Classified Instances 2764 92.814 % Incorrectly Classified Instances 214 7.186 % Kappa statistic 0.9162 Mean absolute error 0.0205 Root mean squared error 0.1433 Relative absolute error 8.3837 % Root relative squared error 40.948 % Total Number of Instances 2978 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.932 0.015 0.91 0.932 0.921 0.958 chest 0.899 0.011 0.929 0.899 0.914 0.944 forearm 0.923 0.014 0.914 0.923 0.918 0.954 head 0.976 0.005 0.97 0.976 0.973 0.986 shin 0.93 0.005 0.966 0.93 0.947 0.962 thigh 0.895 0.022 0.87 0.895 0.882 0.936 upperarm 0.944 0.01 0.941 0.944 0.943 0.967 waist Weighted Avg. 0.928 0.012 0.929 0.928 0.928 0.958 === Confusion Matrix === a b c d e f g <-- classified as 395 1 2 0 1 24 1 | a = chest 5 381 18 1 1 6 12 | b = forearm 2 14 393 1 0 15 1 | c = head 3 0 3 415 3 0 1 | d = shin 5 1 3 7 396 10 4 | e = thigh 21 5 8 3 2 382 6 | f = upperarm 3 8 3 1 7 2 402 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2777 93.2505 % Incorrectly Classified Instances 201 6.7495 % Kappa statistic 0.9213 Mean absolute error 0.0193 Root mean squared error 0.1389 Relative absolute error 7.8744 % Root relative squared error 39.6848 % Total Number of Instances 2978 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.941 0.012 0.93 0.941 0.936 0.965 chest 0.915 0.007 0.953 0.915 0.934 0.954 forearm 0.923 0.015 0.91 0.923 0.916 0.954 head 0.958 0.003 0.981 0.958 0.969 0.977 shin 0.941 0.007 0.959 0.941 0.95 0.967 thigh 0.906 0.019 0.89 0.906 0.898 0.944 upperarm 0.944 0.016 0.91 0.944 0.926 0.964 waist Weighted Avg. 0.933 0.011 0.933 0.933 0.933 0.961 === Confusion Matrix === a b c d e f g <-- classified as 399 2 4 0 1 17 1 | a = chest 1 388 10 2 1 5 17 | b = forearm 3 11 393 0 0 17 2 | c = head 1 0 3 407 10 2 2 | d = shin 5 0 0 4 401 6 10 | e = thigh 14 4 12 1 1 387 8 | f = upperarm 6 2 10 1 4 1 402 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2765 92.8475 % Incorrectly Classified Instances 213 7.1525 % Kappa statistic 0.9166 Mean absolute error 0.0204 Root mean squared error 0.143 Relative absolute error 8.3445 % Root relative squared error 40.8523 % Total Number of Instances 2978 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.939 0.018 0.895 0.939 0.916 0.96 chest 0.934 0.01 0.938 0.934 0.936 0.962 forearm 0.913 0.013 0.922 0.913 0.917 0.95 head 0.962 0.004 0.978 0.962 0.97 0.979 shin 0.925 0.007 0.959 0.925 0.941 0.959 thigh 0.895 0.02 0.882 0.895 0.888 0.937 upperarm 0.932 0.012 0.93 0.932 0.931 0.96 waist Weighted Avg. 0.928 0.012 0.929 0.928 0.929 0.958 === Confusion Matrix === a b c d e f g <-- classified as 399 1 4 0 2 19 0 | a = chest 3 396 12 2 0 2 9 | b = forearm 2 13 389 1 1 18 2 | c = head 4 1 1 408 6 0 4 | d = shin 11 0 2 2 394 8 9 | e = thigh 21 1 11 4 2 382 6 | f = upperarm 6 10 3 0 6 4 397 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2744 92.1424 % Incorrectly Classified Instances 234 7.8576 % Kappa statistic 0.9083 Mean absolute error 0.0225 Root mean squared error 0.1498 Relative absolute error 9.1672 % Root relative squared error 42.8188 % Total Number of Instances 2978 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.892 0.011 0.929 0.892 0.91 0.94 chest 0.917 0.017 0.898 0.917 0.908 0.95 forearm 0.92 0.014 0.914 0.92 0.917 0.953 head 0.969 0.004 0.974 0.969 0.972 0.983 shin 0.925 0.005 0.968 0.925 0.946 0.96 thigh 0.902 0.022 0.875 0.902 0.888 0.94 upperarm 0.925 0.018 0.897 0.925 0.911 0.954 waist Weighted Avg. 0.921 0.013 0.922 0.921 0.922 0.954 === Confusion Matrix === a b c d e f g <-- classified as 379 7 6 0 0 25 8 | a = chest 2 389 15 0 1 6 11 | b = forearm 5 12 392 0 0 13 4 | c = head 0 0 1 411 3 3 6 | d = shin 4 1 1 8 394 7 11 | e = thigh 13 5 12 2 5 385 5 | f = upperarm 5 19 2 1 4 1 394 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2777 93.2505 % Incorrectly Classified Instances 201 6.7495 % Kappa statistic 0.9213 Mean absolute error 0.0193 Root mean squared error 0.1389 Relative absolute error 7.8744 % Root relative squared error 39.6848 % Total Number of Instances 2978 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.941 0.014 0.92 0.941 0.93 0.964 chest 0.941 0.012 0.93 0.941 0.936 0.965 forearm 0.913 0.012 0.926 0.913 0.92 0.95 head 0.974 0.004 0.976 0.974 0.975 0.985 shin 0.923 0.007 0.959 0.923 0.94 0.958 thigh 0.909 0.017 0.898 0.909 0.903 0.946 upperarm 0.927 0.013 0.921 0.927 0.924 0.957 waist Weighted Avg. 0.933 0.011 0.933 0.933 0.933 0.961 === Confusion Matrix === a b c d e f g <-- classified as 400 2 2 0 5 14 2 | a = chest 2 399 10 2 0 1 10 | b = forearm 1 12 389 0 1 20 3 | c = head 3 2 1 413 3 0 2 | d = shin 7 0 1 7 393 6 12 | e = thigh 17 3 11 1 2 388 5 | f = upperarm 5 11 6 0 6 3 395 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2741 92.0726 % Incorrectly Classified Instances 236 7.9274 % Kappa statistic 0.9075 Mean absolute error 0.0226 Root mean squared error 0.1505 Relative absolute error 9.2487 % Root relative squared error 43.0086 % Total Number of Instances 2977 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.929 0.014 0.919 0.929 0.924 0.958 chest 0.915 0.015 0.909 0.915 0.912 0.95 forearm 0.908 0.013 0.919 0.908 0.914 0.947 head 0.955 0.005 0.967 0.955 0.961 0.975 shin 0.923 0.011 0.936 0.923 0.929 0.956 thigh 0.892 0.02 0.882 0.892 0.887 0.936 upperarm 0.923 0.014 0.916 0.923 0.919 0.954 waist Weighted Avg. 0.921 0.013 0.921 0.921 0.921 0.954 === Confusion Matrix === a b c d e f g <-- classified as 395 3 4 0 5 16 2 | a = chest 0 388 17 0 0 8 11 | b = forearm 3 15 386 0 1 17 3 | c = head 2 2 3 405 8 2 2 | d = shin 6 2 3 7 393 3 12 | e = thigh 18 5 6 7 4 381 6 | f = upperarm 6 12 1 0 9 5 393 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2767 92.9459 % Incorrectly Classified Instances 210 7.0541 % Kappa statistic 0.9177 Mean absolute error 0.0202 Root mean squared error 0.142 Relative absolute error 8.2298 % Root relative squared error 40.5703 % Total Number of Instances 2977 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.908 0.012 0.926 0.908 0.917 0.948 chest 0.929 0.013 0.921 0.929 0.925 0.958 forearm 0.913 0.01 0.939 0.913 0.926 0.952 head 0.96 0.006 0.962 0.96 0.961 0.977 shin 0.934 0.005 0.966 0.934 0.95 0.964 thigh 0.918 0.023 0.871 0.918 0.894 0.948 upperarm 0.944 0.013 0.926 0.944 0.935 0.966 waist Weighted Avg. 0.929 0.012 0.93 0.929 0.93 0.959 === Confusion Matrix === a b c d e f g <-- classified as 386 2 0 0 2 30 5 | a = chest 4 394 11 3 0 3 9 | b = forearm 7 14 388 1 0 12 3 | c = head 0 1 3 408 8 0 5 | d = shin 2 2 0 5 398 11 8 | e = thigh 16 3 10 4 0 391 2 | f = upperarm 2 12 1 3 4 2 402 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2748 92.3077 % Incorrectly Classified Instances 229 7.6923 % Kappa statistic 0.9103 Mean absolute error 0.022 Root mean squared error 0.1482 Relative absolute error 8.9744 % Root relative squared error 42.3659 % Total Number of Instances 2977 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.934 0.016 0.904 0.934 0.919 0.959 chest 0.939 0.018 0.898 0.939 0.918 0.961 forearm 0.932 0.014 0.915 0.932 0.923 0.959 head 0.953 0.005 0.969 0.953 0.961 0.974 shin 0.925 0.01 0.94 0.925 0.933 0.958 thigh 0.852 0.014 0.91 0.852 0.88 0.919 upperarm 0.927 0.012 0.927 0.927 0.927 0.958 waist Weighted Avg. 0.923 0.013 0.923 0.923 0.923 0.955 === Confusion Matrix === a b c d e f g <-- classified as 397 4 3 0 5 14 2 | a = chest 3 398 13 0 1 3 6 | b = forearm 2 13 396 0 0 12 2 | c = head 2 6 1 405 6 0 5 | d = shin 6 1 2 8 394 7 8 | e = thigh 25 10 15 2 3 363 8 | f = upperarm 4 11 3 3 10 0 395 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2769 93.0131 % Incorrectly Classified Instances 208 6.9869 % Kappa statistic 0.9185 Mean absolute error 0.02 Root mean squared error 0.1413 Relative absolute error 8.1514 % Root relative squared error 40.3767 % Total Number of Instances 2977 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.95 0.02 0.886 0.95 0.917 0.965 chest 0.908 0.013 0.923 0.908 0.916 0.948 forearm 0.904 0.009 0.941 0.904 0.922 0.947 head 0.986 0.006 0.963 0.986 0.974 0.99 shin 0.934 0.004 0.978 0.934 0.955 0.965 thigh 0.892 0.018 0.894 0.892 0.893 0.937 upperarm 0.937 0.012 0.93 0.937 0.933 0.962 waist Weighted Avg. 0.93 0.012 0.931 0.93 0.93 0.959 === Confusion Matrix === a b c d e f g <-- classified as 403 1 1 0 1 17 1 | a = chest 6 386 10 5 2 6 10 | b = forearm 6 16 385 1 0 14 4 | c = head 2 0 0 419 2 1 1 | d = shin 8 1 1 5 397 5 8 | e = thigh 22 4 10 2 2 380 6 | f = upperarm 8 10 2 3 2 2 399 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2765 92.8787 % Incorrectly Classified Instances 212 7.1213 % Kappa statistic 0.9169 Mean absolute error 0.0203 Root mean squared error 0.1426 Relative absolute error 8.3081 % Root relative squared error 40.7631 % Total Number of Instances 2977 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.917 0.015 0.909 0.917 0.913 0.951 chest 0.922 0.012 0.927 0.922 0.925 0.955 forearm 0.941 0.012 0.928 0.941 0.935 0.965 head 0.972 0.005 0.972 0.972 0.972 0.984 shin 0.918 0.007 0.956 0.918 0.937 0.955 thigh 0.901 0.02 0.883 0.901 0.892 0.941 upperarm 0.929 0.012 0.929 0.929 0.929 0.959 waist Weighted Avg. 0.929 0.012 0.929 0.929 0.929 0.958 === Confusion Matrix === a b c d e f g <-- classified as 389 1 4 0 4 24 2 | a = chest 4 392 10 0 0 5 14 | b = forearm 4 8 401 0 0 13 0 | c = head 1 1 2 413 4 1 3 | d = shin 9 1 2 9 391 7 7 | e = thigh 16 9 10 2 1 384 4 | f = upperarm 5 11 3 1 9 1 395 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 6 FOLD: 0 Correctly Classified Instances 2774 93.1498 % Incorrectly Classified Instances 204 6.8502 % Kappa statistic 0.9201 Mean absolute error 0.0196 Root mean squared error 0.1399 Relative absolute error 7.9919 % Root relative squared error 39.9799 % Total Number of Instances 2978 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.927 0.014 0.914 0.927 0.921 0.956 chest 0.922 0.013 0.92 0.922 0.921 0.954 forearm 0.901 0.013 0.923 0.901 0.912 0.944 head 0.981 0.004 0.977 0.981 0.979 0.989 shin 0.932 0.005 0.966 0.932 0.949 0.963 thigh 0.902 0.02 0.881 0.902 0.891 0.941 upperarm 0.955 0.01 0.942 0.955 0.949 0.973 waist Weighted Avg. 0.931 0.011 0.932 0.931 0.932 0.96 === Confusion Matrix === a b c d e f g <-- classified as 394 4 2 0 1 22 2 | a = chest 3 391 14 2 2 4 8 | b = forearm 2 16 384 1 0 19 4 | c = head 0 1 1 416 4 0 2 | d = shin 7 0 5 6 397 4 7 | e = thigh 22 7 7 1 3 385 2 | f = upperarm 3 6 3 0 4 3 407 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2733 91.773 % Incorrectly Classified Instances 245 8.227 % Kappa statistic 0.904 Mean absolute error 0.0235 Root mean squared error 0.1533 Relative absolute error 9.5982 % Root relative squared error 43.8136 % Total Number of Instances 2978 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.932 0.017 0.9 0.932 0.916 0.957 chest 0.915 0.016 0.907 0.915 0.911 0.95 forearm 0.901 0.017 0.899 0.901 0.9 0.942 head 0.967 0.006 0.965 0.967 0.966 0.981 shin 0.92 0.005 0.966 0.92 0.942 0.957 thigh 0.874 0.02 0.88 0.874 0.877 0.927 upperarm 0.915 0.015 0.911 0.915 0.913 0.95 waist Weighted Avg. 0.918 0.014 0.918 0.918 0.918 0.952 === Confusion Matrix === a b c d e f g <-- classified as 396 0 5 0 1 21 2 | a = chest 4 388 16 1 0 5 10 | b = forearm 3 19 384 0 1 16 3 | c = head 2 1 4 410 4 1 2 | d = shin 4 0 0 12 392 7 11 | e = thigh 22 7 11 1 3 373 10 | f = upperarm 9 13 7 1 5 1 390 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2751 92.3774 % Incorrectly Classified Instances 227 7.6226 % Kappa statistic 0.9111 Mean absolute error 0.0218 Root mean squared error 0.1476 Relative absolute error 8.893 % Root relative squared error 42.1734 % Total Number of Instances 2978 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.922 0.013 0.92 0.922 0.921 0.955 chest 0.932 0.014 0.916 0.932 0.924 0.959 forearm 0.923 0.016 0.906 0.923 0.914 0.953 head 0.946 0.005 0.971 0.946 0.958 0.971 shin 0.915 0.009 0.942 0.915 0.929 0.953 thigh 0.887 0.018 0.892 0.887 0.889 0.935 upperarm 0.941 0.013 0.922 0.941 0.931 0.964 waist Weighted Avg. 0.924 0.013 0.924 0.924 0.924 0.956 === Confusion Matrix === a b c d e f g <-- classified as 392 1 4 0 3 25 0 | a = chest 0 395 16 3 0 2 8 | b = forearm 4 14 393 0 1 11 3 | c = head 2 2 1 402 13 0 5 | d = shin 10 4 0 5 390 7 10 | e = thigh 15 3 18 2 2 378 8 | f = upperarm 3 12 2 2 5 1 401 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2785 93.5191 % Incorrectly Classified Instances 193 6.4809 % Kappa statistic 0.9244 Mean absolute error 0.0185 Root mean squared error 0.1361 Relative absolute error 7.561 % Root relative squared error 38.887 % Total Number of Instances 2978 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.929 0.017 0.902 0.929 0.915 0.956 chest 0.932 0.011 0.934 0.932 0.933 0.96 forearm 0.925 0.009 0.947 0.925 0.936 0.958 head 0.976 0.007 0.956 0.976 0.966 0.985 shin 0.937 0.004 0.978 0.937 0.957 0.967 thigh 0.894 0.019 0.888 0.894 0.891 0.938 upperarm 0.953 0.009 0.944 0.953 0.949 0.972 waist Weighted Avg. 0.935 0.011 0.936 0.935 0.935 0.962 === Confusion Matrix === a b c d e f g <-- classified as 395 2 2 0 2 23 1 | a = chest 5 395 7 2 0 5 10 | b = forearm 6 12 394 0 1 11 2 | c = head 2 1 1 415 2 0 4 | d = shin 5 0 0 8 399 7 7 | e = thigh 22 6 9 7 1 381 0 | f = upperarm 3 7 3 2 3 2 406 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2780 93.3512 % Incorrectly Classified Instances 198 6.6488 % Kappa statistic 0.9224 Mean absolute error 0.019 Root mean squared error 0.1378 Relative absolute error 7.7569 % Root relative squared error 39.3875 % Total Number of Instances 2978 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.944 0.014 0.92 0.944 0.931 0.965 chest 0.915 0.013 0.922 0.915 0.918 0.951 forearm 0.927 0.011 0.932 0.927 0.929 0.958 head 0.988 0.004 0.979 0.988 0.984 0.992 shin 0.918 0.004 0.978 0.918 0.947 0.957 thigh 0.908 0.021 0.88 0.908 0.894 0.944 upperarm 0.934 0.012 0.93 0.934 0.932 0.961 waist Weighted Avg. 0.934 0.011 0.934 0.934 0.934 0.961 === Confusion Matrix === a b c d e f g <-- classified as 401 4 0 0 1 17 2 | a = chest 5 388 15 1 1 3 11 | b = forearm 1 11 395 0 1 17 1 | c = head 0 0 0 420 1 2 2 | d = shin 7 1 3 3 391 10 11 | e = thigh 17 4 9 4 2 387 3 | f = upperarm 5 13 2 1 3 4 398 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2769 93.0131 % Incorrectly Classified Instances 208 6.9869 % Kappa statistic 0.9185 Mean absolute error 0.02 Root mean squared error 0.1413 Relative absolute error 8.1514 % Root relative squared error 40.3767 % Total Number of Instances 2977 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.925 0.014 0.916 0.925 0.92 0.955 chest 0.927 0.011 0.931 0.927 0.929 0.958 forearm 0.915 0.01 0.94 0.915 0.927 0.953 head 0.965 0.004 0.979 0.965 0.972 0.981 shin 0.948 0.006 0.962 0.948 0.955 0.971 thigh 0.892 0.022 0.874 0.892 0.883 0.935 upperarm 0.939 0.015 0.913 0.939 0.926 0.962 waist Weighted Avg. 0.93 0.012 0.931 0.93 0.93 0.959 === Confusion Matrix === a b c d e f g <-- classified as 393 1 2 0 3 24 2 | a = chest 3 393 11 3 0 2 12 | b = forearm 2 12 389 1 1 18 2 | c = head 3 0 3 410 3 3 3 | d = shin 4 0 0 3 404 5 10 | e = thigh 21 6 5 2 3 380 9 | f = upperarm 3 10 4 0 6 3 400 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2747 92.2741 % Incorrectly Classified Instances 230 7.7259 % Kappa statistic 0.9099 Mean absolute error 0.0221 Root mean squared error 0.1486 Relative absolute error 9.0136 % Root relative squared error 42.4583 % Total Number of Instances 2977 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.92 0.02 0.884 0.92 0.902 0.95 chest 0.953 0.013 0.924 0.953 0.938 0.97 forearm 0.922 0.013 0.922 0.922 0.922 0.955 head 0.946 0.005 0.971 0.946 0.958 0.971 shin 0.904 0.012 0.928 0.904 0.916 0.946 thigh 0.878 0.017 0.895 0.878 0.887 0.93 upperarm 0.937 0.011 0.937 0.937 0.937 0.963 waist Weighted Avg. 0.923 0.013 0.923 0.923 0.923 0.955 === Confusion Matrix === a b c d e f g <-- classified as 390 4 3 0 7 18 2 | a = chest 0 404 9 0 3 2 6 | b = forearm 4 13 392 0 0 14 2 | c = head 5 3 2 402 8 3 2 | d = shin 13 0 4 8 385 6 10 | e = thigh 22 8 12 3 2 375 5 | f = upperarm 7 5 3 1 10 1 399 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2763 92.8116 % Incorrectly Classified Instances 214 7.1884 % Kappa statistic 0.9161 Mean absolute error 0.0205 Root mean squared error 0.1433 Relative absolute error 8.3865 % Root relative squared error 40.9549 % Total Number of Instances 2977 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.946 0.016 0.907 0.946 0.926 0.965 chest 0.906 0.01 0.937 0.906 0.921 0.948 forearm 0.92 0.012 0.929 0.92 0.924 0.954 head 0.955 0.005 0.967 0.955 0.961 0.975 shin 0.939 0.01 0.939 0.939 0.939 0.964 thigh 0.906 0.017 0.898 0.906 0.902 0.945 upperarm 0.925 0.013 0.923 0.925 0.924 0.956 waist Weighted Avg. 0.928 0.012 0.928 0.928 0.928 0.958 === Confusion Matrix === a b c d e f g <-- classified as 401 1 1 0 1 17 3 | a = chest 5 384 12 0 0 5 18 | b = forearm 8 10 391 1 0 12 3 | c = head 0 3 2 406 10 0 4 | d = shin 5 0 1 8 400 8 4 | e = thigh 18 1 10 5 5 387 1 | f = upperarm 5 11 4 0 10 2 394 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2741 92.0726 % Incorrectly Classified Instances 236 7.9274 % Kappa statistic 0.9075 Mean absolute error 0.0226 Root mean squared error 0.1505 Relative absolute error 9.2487 % Root relative squared error 43.0086 % Total Number of Instances 2977 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.92 0.012 0.929 0.92 0.924 0.954 chest 0.92 0.014 0.914 0.92 0.917 0.953 forearm 0.925 0.015 0.91 0.925 0.917 0.955 head 0.96 0.004 0.974 0.96 0.967 0.978 shin 0.927 0.007 0.954 0.927 0.94 0.96 thigh 0.883 0.024 0.861 0.883 0.872 0.929 upperarm 0.911 0.015 0.909 0.911 0.91 0.948 waist Weighted Avg. 0.921 0.013 0.921 0.921 0.921 0.954 === Confusion Matrix === a b c d e f g <-- classified as 390 2 4 0 1 22 5 | a = chest 1 391 12 0 1 11 9 | b = forearm 1 13 394 1 0 15 2 | c = head 2 2 1 407 6 2 4 | d = shin 3 4 4 5 394 6 9 | e = thigh 19 2 16 2 1 377 10 | f = upperarm 4 14 2 3 10 5 388 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2773 93.1475 % Incorrectly Classified Instances 204 6.8525 % Kappa statistic 0.9201 Mean absolute error 0.0196 Root mean squared error 0.1399 Relative absolute error 7.9946 % Root relative squared error 39.9866 % Total Number of Instances 2977 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.955 0.016 0.908 0.955 0.931 0.97 chest 0.913 0.01 0.937 0.913 0.925 0.951 forearm 0.923 0.013 0.92 0.923 0.921 0.955 head 0.967 0.005 0.969 0.967 0.968 0.981 shin 0.925 0.006 0.961 0.925 0.943 0.959 thigh 0.906 0.013 0.919 0.906 0.913 0.946 upperarm 0.932 0.016 0.908 0.932 0.92 0.958 waist Weighted Avg. 0.931 0.011 0.932 0.931 0.932 0.96 === Confusion Matrix === a b c d e f g <-- classified as 405 3 3 0 1 10 2 | a = chest 5 388 12 2 0 4 14 | b = forearm 6 12 393 0 0 14 1 | c = head 2 0 2 410 6 0 4 | d = shin 6 1 3 6 394 4 12 | e = thigh 17 3 9 2 2 387 7 | f = upperarm 5 7 5 3 7 2 396 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 7 FOLD: 0 Correctly Classified Instances 2774 93.1498 % Incorrectly Classified Instances 204 6.8502 % Kappa statistic 0.9201 Mean absolute error 0.0196 Root mean squared error 0.1399 Relative absolute error 7.9919 % Root relative squared error 39.9799 % Total Number of Instances 2978 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.934 0.013 0.923 0.934 0.929 0.961 chest 0.932 0.013 0.925 0.932 0.928 0.96 forearm 0.906 0.015 0.91 0.906 0.908 0.946 head 0.976 0.006 0.965 0.976 0.971 0.985 shin 0.941 0.007 0.955 0.941 0.948 0.967 thigh 0.899 0.015 0.91 0.899 0.904 0.942 upperarm 0.932 0.011 0.932 0.932 0.932 0.96 waist Weighted Avg. 0.931 0.011 0.931 0.931 0.931 0.96 === Confusion Matrix === a b c d e f g <-- classified as 397 2 4 0 3 15 4 | a = chest 2 395 11 1 2 3 10 | b = forearm 7 13 386 1 0 18 1 | c = head 0 2 2 415 5 0 1 | d = shin 3 1 1 8 401 2 10 | e = thigh 14 5 17 2 2 383 3 | f = upperarm 7 9 3 3 7 0 397 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2755 92.5118 % Incorrectly Classified Instances 223 7.4882 % Kappa statistic 0.9126 Mean absolute error 0.0214 Root mean squared error 0.1463 Relative absolute error 8.7363 % Root relative squared error 41.8002 % Total Number of Instances 2978 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.934 0.014 0.917 0.934 0.925 0.96 chest 0.91 0.014 0.913 0.91 0.911 0.948 forearm 0.925 0.018 0.893 0.925 0.909 0.953 head 0.958 0.004 0.978 0.958 0.968 0.977 shin 0.927 0.007 0.959 0.927 0.943 0.96 thigh 0.88 0.017 0.895 0.88 0.888 0.932 upperarm 0.941 0.013 0.924 0.941 0.933 0.964 waist Weighted Avg. 0.925 0.012 0.926 0.925 0.925 0.956 === Confusion Matrix === a b c d e f g <-- classified as 397 2 4 0 1 19 2 | a = chest 4 386 19 0 0 5 10 | b = forearm 3 21 394 0 0 7 1 | c = head 0 2 4 407 8 0 4 | d = shin 6 1 1 5 395 10 8 | e = thigh 19 4 14 3 3 375 8 | f = upperarm 4 7 5 1 5 3 401 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2754 92.4782 % Incorrectly Classified Instances 224 7.5218 % Kappa statistic 0.9122 Mean absolute error 0.0215 Root mean squared error 0.1466 Relative absolute error 8.7755 % Root relative squared error 41.8938 % Total Number of Instances 2978 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.904 0.017 0.897 0.904 0.9 0.943 chest 0.943 0.013 0.926 0.943 0.935 0.965 forearm 0.923 0.011 0.936 0.923 0.929 0.956 head 0.965 0.004 0.974 0.965 0.969 0.98 shin 0.904 0.008 0.951 0.904 0.927 0.948 thigh 0.887 0.019 0.885 0.887 0.886 0.934 upperarm 0.948 0.016 0.908 0.948 0.928 0.966 waist Weighted Avg. 0.925 0.013 0.925 0.925 0.925 0.956 === Confusion Matrix === a b c d e f g <-- classified as 384 5 4 0 5 22 5 | a = chest 2 400 8 2 0 1 11 | b = forearm 3 11 393 0 0 17 2 | c = head 2 1 0 410 6 0 6 | d = shin 12 1 4 7 385 8 9 | e = thigh 23 5 9 2 1 378 8 | f = upperarm 2 9 2 0 8 1 404 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2780 93.3512 % Incorrectly Classified Instances 198 6.6488 % Kappa statistic 0.9224 Mean absolute error 0.019 Root mean squared error 0.1378 Relative absolute error 7.7569 % Root relative squared error 39.3875 % Total Number of Instances 2978 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.934 0.013 0.921 0.934 0.928 0.96 chest 0.932 0.01 0.938 0.932 0.935 0.961 forearm 0.932 0.012 0.93 0.932 0.931 0.96 head 0.953 0.004 0.974 0.953 0.963 0.974 shin 0.934 0.008 0.952 0.934 0.943 0.963 thigh 0.902 0.016 0.902 0.902 0.902 0.943 upperarm 0.948 0.014 0.92 0.948 0.934 0.967 waist Weighted Avg. 0.934 0.011 0.934 0.934 0.934 0.961 === Confusion Matrix === a b c d e f g <-- classified as 397 3 3 0 3 17 2 | a = chest 4 395 13 2 1 2 7 | b = forearm 2 12 397 3 0 8 4 | c = head 2 0 0 405 8 3 7 | d = shin 6 0 1 5 397 7 9 | e = thigh 17 5 10 1 3 385 6 | f = upperarm 3 6 3 0 5 5 404 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2787 93.5863 % Incorrectly Classified Instances 191 6.4137 % Kappa statistic 0.9252 Mean absolute error 0.0183 Root mean squared error 0.1354 Relative absolute error 7.4827 % Root relative squared error 38.685 % Total Number of Instances 2978 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.946 0.011 0.933 0.946 0.939 0.967 chest 0.922 0.013 0.92 0.922 0.921 0.954 forearm 0.925 0.014 0.918 0.925 0.922 0.956 head 0.967 0.003 0.981 0.967 0.974 0.982 shin 0.96 0.008 0.951 0.96 0.956 0.976 thigh 0.911 0.015 0.909 0.911 0.91 0.948 upperarm 0.92 0.01 0.94 0.92 0.93 0.955 waist Weighted Avg. 0.936 0.011 0.936 0.936 0.936 0.963 === Confusion Matrix === a b c d e f g <-- classified as 402 1 4 0 2 14 2 | a = chest 2 391 17 1 0 5 8 | b = forearm 2 13 394 0 0 16 1 | c = head 4 1 3 410 4 0 2 | d = shin 1 0 2 4 409 1 9 | e = thigh 14 6 7 2 6 389 3 | f = upperarm 6 13 2 1 9 3 392 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2756 92.5764 % Incorrectly Classified Instances 221 7.4236 % Kappa statistic 0.9134 Mean absolute error 0.0212 Root mean squared error 0.1456 Relative absolute error 8.6609 % Root relative squared error 41.6194 % Total Number of Instances 2977 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.932 0.018 0.896 0.932 0.913 0.957 chest 0.903 0.013 0.918 0.903 0.911 0.945 forearm 0.915 0.018 0.892 0.915 0.904 0.949 head 0.965 0.003 0.981 0.965 0.973 0.981 shin 0.934 0.006 0.964 0.934 0.949 0.964 thigh 0.909 0.016 0.907 0.909 0.908 0.946 upperarm 0.923 0.012 0.927 0.923 0.925 0.955 waist Weighted Avg. 0.926 0.012 0.926 0.926 0.926 0.957 === Confusion Matrix === a b c d e f g <-- classified as 395 3 6 0 2 16 2 | a = chest 3 383 15 1 0 9 13 | b = forearm 5 16 390 0 0 14 1 | c = head 2 1 3 409 4 0 5 | d = shin 11 1 4 4 398 1 7 | e = thigh 16 4 11 3 2 388 3 | f = upperarm 9 9 8 0 7 0 393 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2772 93.1139 % Incorrectly Classified Instances 205 6.8861 % Kappa statistic 0.9197 Mean absolute error 0.0197 Root mean squared error 0.1403 Relative absolute error 8.0338 % Root relative squared error 40.0845 % Total Number of Instances 2977 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.92 0.016 0.905 0.92 0.912 0.952 chest 0.922 0.014 0.914 0.922 0.918 0.954 forearm 0.908 0.009 0.944 0.908 0.926 0.95 head 0.986 0.004 0.974 0.986 0.98 0.991 shin 0.925 0.004 0.973 0.925 0.948 0.96 thigh 0.911 0.018 0.894 0.911 0.903 0.946 upperarm 0.946 0.014 0.918 0.946 0.932 0.966 waist Weighted Avg. 0.931 0.011 0.932 0.931 0.931 0.96 === Confusion Matrix === a b c d e f g <-- classified as 390 3 6 0 2 23 0 | a = chest 2 392 10 2 1 5 13 | b = forearm 9 14 387 0 1 12 3 | c = head 0 0 1 418 1 1 3 | d = shin 5 4 0 7 394 3 13 | e = thigh 21 5 5 1 2 389 4 | f = upperarm 4 11 1 1 4 2 402 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2747 92.2741 % Incorrectly Classified Instances 230 7.7259 % Kappa statistic 0.9099 Mean absolute error 0.0221 Root mean squared error 0.1486 Relative absolute error 9.0136 % Root relative squared error 42.4583 % Total Number of Instances 2977 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.934 0.016 0.908 0.934 0.921 0.959 chest 0.92 0.011 0.933 0.92 0.927 0.955 forearm 0.92 0.013 0.922 0.92 0.921 0.954 head 0.96 0.005 0.967 0.96 0.963 0.977 shin 0.918 0.006 0.961 0.918 0.939 0.956 thigh 0.876 0.025 0.856 0.876 0.866 0.926 upperarm 0.932 0.014 0.917 0.932 0.924 0.959 waist Weighted Avg. 0.923 0.013 0.923 0.923 0.923 0.955 === Confusion Matrix === a b c d e f g <-- classified as 396 0 1 0 1 23 3 | a = chest 2 391 12 1 0 6 13 | b = forearm 2 12 391 0 0 20 0 | c = head 2 0 2 407 8 3 2 | d = shin 8 1 2 6 391 8 10 | e = thigh 22 2 14 6 1 374 8 | f = upperarm 4 13 2 1 6 3 397 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2749 92.3413 % Incorrectly Classified Instances 228 7.6587 % Kappa statistic 0.9106 Mean absolute error 0.0219 Root mean squared error 0.1479 Relative absolute error 8.9352 % Root relative squared error 42.2733 % Total Number of Instances 2977 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.934 0.016 0.906 0.934 0.92 0.959 chest 0.925 0.014 0.918 0.925 0.921 0.955 forearm 0.92 0.013 0.92 0.92 0.92 0.953 head 0.955 0.004 0.976 0.955 0.966 0.976 shin 0.918 0.007 0.954 0.918 0.935 0.955 thigh 0.883 0.02 0.883 0.883 0.883 0.932 upperarm 0.93 0.015 0.91 0.93 0.92 0.957 waist Weighted Avg. 0.923 0.013 0.924 0.923 0.924 0.955 === Confusion Matrix === a b c d e f g <-- classified as 396 4 1 0 2 19 2 | a = chest 2 392 14 1 0 1 14 | b = forearm 5 11 391 0 1 12 5 | c = head 1 3 4 406 7 2 2 | d = shin 5 2 2 7 391 12 7 | e = thigh 24 5 9 2 1 377 9 | f = upperarm 4 10 4 0 8 4 396 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2759 92.6772 % Incorrectly Classified Instances 218 7.3228 % Kappa statistic 0.9146 Mean absolute error 0.0209 Root mean squared error 0.1446 Relative absolute error 8.5433 % Root relative squared error 41.3359 % Total Number of Instances 2977 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.925 0.014 0.916 0.925 0.92 0.955 chest 0.917 0.011 0.931 0.917 0.924 0.953 forearm 0.939 0.016 0.909 0.939 0.924 0.962 head 0.958 0.005 0.967 0.958 0.962 0.976 shin 0.925 0.007 0.954 0.925 0.939 0.959 thigh 0.89 0.018 0.892 0.89 0.891 0.936 upperarm 0.934 0.013 0.921 0.934 0.928 0.96 waist Weighted Avg. 0.927 0.012 0.927 0.927 0.927 0.957 === Confusion Matrix === a b c d e f g <-- classified as 393 3 2 0 3 19 5 | a = chest 7 389 12 1 0 2 13 | b = forearm 0 10 399 1 0 14 1 | c = head 3 2 3 407 6 2 2 | d = shin 7 0 3 7 394 7 8 | e = thigh 17 4 13 3 5 379 5 | f = upperarm 2 10 7 2 5 2 398 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 8 FOLD: 0 Correctly Classified Instances 2769 92.9819 % Incorrectly Classified Instances 209 7.0181 % Kappa statistic 0.9181 Mean absolute error 0.0201 Root mean squared error 0.1416 Relative absolute error 8.1878 % Root relative squared error 40.4668 % Total Number of Instances 2978 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.939 0.016 0.907 0.939 0.922 0.961 chest 0.92 0.014 0.913 0.92 0.917 0.953 forearm 0.918 0.011 0.933 0.918 0.925 0.953 head 0.96 0.005 0.967 0.96 0.963 0.977 shin 0.932 0.01 0.941 0.932 0.936 0.961 thigh 0.89 0.014 0.913 0.89 0.902 0.938 upperarm 0.951 0.011 0.935 0.951 0.943 0.97 waist Weighted Avg. 0.93 0.012 0.93 0.93 0.93 0.959 === Confusion Matrix === a b c d e f g <-- classified as 398 3 1 0 9 13 0 | a = chest 8 390 12 2 0 4 8 | b = forearm 4 17 391 1 0 11 2 | c = head 2 2 1 408 7 1 4 | d = shin 6 1 3 7 397 6 6 | e = thigh 18 4 10 3 4 380 8 | f = upperarm 3 10 1 1 5 1 405 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2778 93.2841 % Incorrectly Classified Instances 200 6.7159 % Kappa statistic 0.9216 Mean absolute error 0.0192 Root mean squared error 0.1385 Relative absolute error 7.8352 % Root relative squared error 39.586 % Total Number of Instances 2978 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.929 0.011 0.934 0.929 0.931 0.959 chest 0.936 0.012 0.93 0.936 0.933 0.962 forearm 0.899 0.012 0.925 0.899 0.912 0.943 head 0.974 0.004 0.976 0.974 0.975 0.985 shin 0.941 0.005 0.966 0.941 0.954 0.968 thigh 0.913 0.019 0.888 0.913 0.901 0.947 upperarm 0.937 0.015 0.913 0.937 0.925 0.961 waist Weighted Avg. 0.933 0.011 0.933 0.933 0.933 0.961 === Confusion Matrix === a b c d e f g <-- classified as 394 2 1 0 2 19 6 | a = chest 2 397 13 0 1 1 10 | b = forearm 8 11 383 1 1 22 0 | c = head 1 0 1 414 4 2 3 | d = shin 2 0 2 7 401 2 12 | e = thigh 13 2 13 1 1 390 7 | f = upperarm 2 15 1 1 5 3 399 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2747 92.2431 % Incorrectly Classified Instances 231 7.7569 % Kappa statistic 0.9095 Mean absolute error 0.0222 Root mean squared error 0.1489 Relative absolute error 9.0497 % Root relative squared error 42.5434 % Total Number of Instances 2978 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.92 0.016 0.905 0.92 0.912 0.952 chest 0.91 0.011 0.935 0.91 0.922 0.95 forearm 0.915 0.014 0.918 0.915 0.917 0.951 head 0.955 0.005 0.967 0.955 0.961 0.975 shin 0.927 0.007 0.954 0.927 0.94 0.96 thigh 0.895 0.019 0.886 0.895 0.89 0.938 upperarm 0.934 0.018 0.896 0.934 0.915 0.958 waist Weighted Avg. 0.922 0.013 0.923 0.922 0.923 0.955 === Confusion Matrix === a b c d e f g <-- classified as 390 1 4 0 1 23 5 | a = chest 2 386 12 1 0 4 19 | b = forearm 5 14 390 1 0 13 3 | c = head 3 1 2 406 8 1 4 | d = shin 4 2 1 6 395 7 11 | e = thigh 20 3 8 6 4 382 4 | f = upperarm 7 6 8 0 6 1 398 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2765 92.8475 % Incorrectly Classified Instances 213 7.1525 % Kappa statistic 0.9166 Mean absolute error 0.0204 Root mean squared error 0.143 Relative absolute error 8.3445 % Root relative squared error 40.8523 % Total Number of Instances 2978 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.92 0.016 0.905 0.92 0.912 0.952 chest 0.934 0.013 0.921 0.934 0.927 0.96 forearm 0.937 0.013 0.926 0.937 0.931 0.962 head 0.958 0.003 0.983 0.958 0.97 0.977 shin 0.941 0.009 0.948 0.941 0.945 0.966 thigh 0.876 0.016 0.901 0.876 0.888 0.93 upperarm 0.934 0.014 0.917 0.934 0.926 0.96 waist Weighted Avg. 0.928 0.012 0.929 0.928 0.929 0.958 === Confusion Matrix === a b c d e f g <-- classified as 390 3 4 0 3 23 1 | a = chest 1 396 10 1 1 1 14 | b = forearm 0 11 399 0 0 11 5 | c = head 2 4 0 407 8 1 3 | d = shin 9 1 0 4 401 4 7 | e = thigh 22 6 16 2 1 374 6 | f = upperarm 7 9 2 0 9 1 398 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2792 93.7542 % Incorrectly Classified Instances 186 6.2458 % Kappa statistic 0.9271 Mean absolute error 0.0178 Root mean squared error 0.1336 Relative absolute error 7.2868 % Root relative squared error 38.1753 % Total Number of Instances 2978 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.948 0.015 0.914 0.948 0.931 0.967 chest 0.927 0.009 0.945 0.927 0.936 0.959 forearm 0.925 0.013 0.923 0.925 0.924 0.956 head 0.969 0.003 0.983 0.969 0.976 0.983 shin 0.946 0.005 0.969 0.946 0.957 0.97 thigh 0.906 0.019 0.888 0.906 0.897 0.944 upperarm 0.941 0.009 0.946 0.941 0.944 0.966 waist Weighted Avg. 0.938 0.01 0.938 0.938 0.938 0.964 === Confusion Matrix === a b c d e f g <-- classified as 403 0 3 0 0 19 0 | a = chest 4 393 12 2 0 6 7 | b = forearm 4 8 394 0 0 14 6 | c = head 3 1 2 412 4 2 1 | d = shin 5 0 2 4 402 6 6 | e = thigh 18 5 8 1 5 387 3 | f = upperarm 4 9 6 0 4 2 401 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2759 92.6772 % Incorrectly Classified Instances 218 7.3228 % Kappa statistic 0.9146 Mean absolute error 0.0209 Root mean squared error 0.1446 Relative absolute error 8.5433 % Root relative squared error 41.3359 % Total Number of Instances 2977 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.927 0.014 0.916 0.927 0.922 0.956 chest 0.925 0.014 0.914 0.925 0.919 0.955 forearm 0.922 0.014 0.918 0.922 0.92 0.954 head 0.958 0.006 0.964 0.958 0.961 0.976 shin 0.946 0.004 0.973 0.946 0.96 0.971 thigh 0.878 0.018 0.891 0.878 0.884 0.93 upperarm 0.932 0.015 0.912 0.932 0.922 0.958 waist Weighted Avg. 0.927 0.012 0.927 0.927 0.927 0.957 === Confusion Matrix === a b c d e f g <-- classified as 394 3 5 0 2 17 4 | a = chest 5 392 10 1 1 4 11 | b = forearm 3 14 392 0 0 13 3 | c = head 2 0 6 407 4 3 3 | d = shin 2 1 2 7 403 6 5 | e = thigh 22 4 10 3 1 375 12 | f = upperarm 2 15 2 4 3 3 396 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2774 93.1811 % Incorrectly Classified Instances 203 6.8189 % Kappa statistic 0.9204 Mean absolute error 0.0195 Root mean squared error 0.1396 Relative absolute error 7.9554 % Root relative squared error 39.8884 % Total Number of Instances 2977 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.922 0.016 0.903 0.922 0.913 0.953 chest 0.929 0.011 0.934 0.929 0.932 0.959 forearm 0.92 0.011 0.933 0.92 0.927 0.955 head 0.974 0.003 0.981 0.974 0.978 0.985 shin 0.913 0.005 0.97 0.913 0.941 0.954 thigh 0.92 0.024 0.863 0.92 0.891 0.948 upperarm 0.944 0.009 0.946 0.944 0.945 0.967 waist Weighted Avg. 0.932 0.011 0.933 0.932 0.932 0.96 === Confusion Matrix === a b c d e f g <-- classified as 392 2 2 0 2 27 0 | a = chest 2 395 13 1 1 6 7 | b = forearm 6 11 391 0 0 16 1 | c = head 1 1 2 413 3 1 3 | d = shin 9 2 2 7 389 9 8 | e = thigh 20 1 7 0 2 392 4 | f = upperarm 4 11 2 0 4 3 402 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2753 92.4756 % Incorrectly Classified Instances 224 7.5244 % Kappa statistic 0.9122 Mean absolute error 0.0215 Root mean squared error 0.1466 Relative absolute error 8.7784 % Root relative squared error 41.9009 % Total Number of Instances 2977 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.936 0.014 0.917 0.936 0.927 0.961 chest 0.925 0.013 0.923 0.925 0.924 0.956 forearm 0.925 0.014 0.916 0.925 0.92 0.955 head 0.958 0.005 0.969 0.958 0.963 0.976 shin 0.901 0.008 0.948 0.901 0.924 0.947 thigh 0.897 0.02 0.884 0.897 0.89 0.939 upperarm 0.932 0.014 0.919 0.932 0.925 0.959 waist Weighted Avg. 0.925 0.013 0.925 0.925 0.925 0.956 === Confusion Matrix === a b c d e f g <-- classified as 398 5 2 0 1 16 3 | a = chest 3 393 12 3 0 5 9 | b = forearm 3 11 393 0 1 17 0 | c = head 0 1 2 406 9 1 5 | d = shin 9 2 3 6 384 10 12 | e = thigh 18 9 8 3 0 382 6 | f = upperarm 3 5 9 1 10 1 397 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2737 91.9382 % Incorrectly Classified Instances 240 8.0618 % Kappa statistic 0.9059 Mean absolute error 0.023 Root mean squared error 0.1518 Relative absolute error 9.4054 % Root relative squared error 43.3715 % Total Number of Instances 2977 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.946 0.014 0.916 0.946 0.931 0.966 chest 0.894 0.014 0.915 0.894 0.905 0.94 forearm 0.911 0.018 0.896 0.911 0.903 0.947 head 0.965 0.005 0.971 0.965 0.968 0.98 shin 0.904 0.009 0.946 0.904 0.924 0.948 thigh 0.883 0.021 0.874 0.883 0.879 0.931 upperarm 0.934 0.014 0.919 0.934 0.927 0.96 waist Weighted Avg. 0.919 0.013 0.92 0.919 0.919 0.953 === Confusion Matrix === a b c d e f g <-- classified as 402 1 4 0 3 13 2 | a = chest 3 379 19 0 2 10 11 | b = forearm 1 17 388 0 2 17 1 | c = head 2 0 1 409 8 0 4 | d = shin 7 0 4 4 385 12 14 | e = thigh 16 7 16 7 1 376 3 | f = upperarm 8 10 1 1 6 2 398 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2757 92.61 % Incorrectly Classified Instances 220 7.39 % Kappa statistic 0.9138 Mean absolute error 0.0211 Root mean squared error 0.1453 Relative absolute error 8.6217 % Root relative squared error 41.5251 % Total Number of Instances 2977 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.925 0.014 0.918 0.925 0.921 0.955 chest 0.925 0.011 0.931 0.925 0.928 0.957 forearm 0.906 0.01 0.939 0.906 0.922 0.948 head 0.972 0.004 0.976 0.972 0.974 0.984 shin 0.934 0.01 0.939 0.934 0.936 0.962 thigh 0.89 0.02 0.881 0.89 0.886 0.935 upperarm 0.932 0.017 0.9 0.932 0.916 0.957 waist Weighted Avg. 0.926 0.012 0.926 0.926 0.926 0.957 === Confusion Matrix === a b c d e f g <-- classified as 393 1 2 0 3 23 3 | a = chest 2 392 14 0 1 2 13 | b = forearm 3 16 386 1 0 18 2 | c = head 0 0 1 412 9 1 1 | d = shin 7 1 0 5 398 1 14 | e = thigh 20 2 6 2 6 379 11 | f = upperarm 3 9 2 2 7 6 397 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 9 FOLD: 0 Correctly Classified Instances 2763 92.7804 % Incorrectly Classified Instances 215 7.2196 % Kappa statistic 0.9158 Mean absolute error 0.0206 Root mean squared error 0.1436 Relative absolute error 8.4229 % Root relative squared error 41.0436 % Total Number of Instances 2978 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.925 0.015 0.912 0.925 0.918 0.955 chest 0.941 0.012 0.93 0.941 0.936 0.965 forearm 0.927 0.013 0.925 0.927 0.926 0.957 head 0.953 0.003 0.981 0.953 0.967 0.975 shin 0.934 0.01 0.939 0.934 0.936 0.962 thigh 0.885 0.021 0.877 0.885 0.881 0.932 upperarm 0.93 0.011 0.934 0.93 0.932 0.959 waist Weighted Avg. 0.928 0.012 0.928 0.928 0.928 0.958 === Confusion Matrix === a b c d e f g <-- classified as 393 1 3 0 4 23 1 | a = chest 4 399 11 2 0 1 7 | b = forearm 1 8 395 0 0 19 3 | c = head 1 1 1 404 10 2 5 | d = shin 9 2 0 4 398 7 6 | e = thigh 20 6 13 2 2 378 6 | f = upperarm 3 12 4 0 10 1 396 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2753 92.4446 % Incorrectly Classified Instances 225 7.5554 % Kappa statistic 0.9119 Mean absolute error 0.0216 Root mean squared error 0.1469 Relative absolute error 8.8146 % Root relative squared error 41.9872 % Total Number of Instances 2978 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.941 0.014 0.917 0.941 0.929 0.964 chest 0.917 0.01 0.937 0.917 0.927 0.954 forearm 0.892 0.014 0.913 0.892 0.903 0.939 head 0.976 0.005 0.972 0.976 0.974 0.986 shin 0.918 0.007 0.954 0.918 0.935 0.955 thigh 0.89 0.023 0.867 0.89 0.878 0.933 upperarm 0.937 0.015 0.913 0.937 0.925 0.961 waist Weighted Avg. 0.924 0.013 0.925 0.924 0.925 0.956 === Confusion Matrix === a b c d e f g <-- classified as 400 2 1 0 0 20 2 | a = chest 1 389 13 0 1 4 16 | b = forearm 5 14 380 0 1 25 1 | c = head 1 0 1 415 6 1 1 | d = shin 6 1 3 9 391 6 10 | e = thigh 17 3 12 3 4 379 8 | f = upperarm 6 6 6 0 7 2 399 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2784 93.4856 % Incorrectly Classified Instances 194 6.5144 % Kappa statistic 0.924 Mean absolute error 0.0186 Root mean squared error 0.1364 Relative absolute error 7.6002 % Root relative squared error 38.9876 % Total Number of Instances 2978 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.925 0.016 0.906 0.925 0.915 0.954 chest 0.936 0.013 0.921 0.936 0.929 0.962 forearm 0.925 0.01 0.938 0.925 0.931 0.957 head 0.976 0.005 0.972 0.976 0.974 0.986 shin 0.946 0.007 0.957 0.946 0.952 0.969 thigh 0.906 0.015 0.908 0.906 0.907 0.945 upperarm 0.93 0.009 0.943 0.93 0.936 0.96 waist Weighted Avg. 0.935 0.011 0.935 0.935 0.935 0.962 === Confusion Matrix === a b c d e f g <-- classified as 393 2 3 0 6 17 4 | a = chest 4 397 9 1 2 6 5 | b = forearm 5 13 394 1 0 11 2 | c = head 1 1 2 415 2 2 2 | d = shin 8 0 0 6 403 1 8 | e = thigh 19 5 10 1 2 386 3 | f = upperarm 4 13 2 3 6 2 396 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2775 93.1833 % Incorrectly Classified Instances 203 6.8167 % Kappa statistic 0.9205 Mean absolute error 0.0195 Root mean squared error 0.1396 Relative absolute error 7.9528 % Root relative squared error 39.8817 % Total Number of Instances 2978 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.941 0.012 0.928 0.941 0.935 0.965 chest 0.922 0.012 0.929 0.922 0.925 0.955 forearm 0.925 0.013 0.925 0.925 0.925 0.956 head 0.953 0.004 0.974 0.953 0.963 0.974 shin 0.944 0.011 0.937 0.944 0.94 0.967 thigh 0.899 0.016 0.901 0.899 0.9 0.941 upperarm 0.939 0.012 0.93 0.939 0.935 0.964 waist Weighted Avg. 0.932 0.011 0.932 0.932 0.932 0.96 === Confusion Matrix === a b c d e f g <-- classified as 400 3 3 0 2 17 0 | a = chest 3 391 16 1 2 5 6 | b = forearm 3 12 394 0 2 14 1 | c = head 0 2 2 405 10 0 6 | d = shin 5 0 3 2 402 5 9 | e = thigh 15 3 7 6 4 383 8 | f = upperarm 5 10 1 2 7 1 400 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2755 92.5118 % Incorrectly Classified Instances 223 7.4882 % Kappa statistic 0.9126 Mean absolute error 0.0214 Root mean squared error 0.1463 Relative absolute error 8.7363 % Root relative squared error 41.8002 % Total Number of Instances 2978 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.955 0.014 0.919 0.955 0.937 0.971 chest 0.929 0.013 0.921 0.929 0.925 0.958 forearm 0.908 0.013 0.919 0.908 0.914 0.948 head 0.96 0.005 0.969 0.96 0.965 0.977 shin 0.906 0.008 0.951 0.906 0.928 0.949 thigh 0.885 0.02 0.883 0.885 0.884 0.933 upperarm 0.932 0.014 0.917 0.932 0.924 0.959 waist Weighted Avg. 0.925 0.012 0.925 0.925 0.925 0.956 === Confusion Matrix === a b c d e f g <-- classified as 406 2 2 0 0 15 0 | a = chest 3 394 13 2 0 0 12 | b = forearm 4 12 387 1 0 20 2 | c = head 0 1 4 408 7 2 3 | d = shin 7 1 3 5 386 12 12 | e = thigh 17 5 10 4 6 377 7 | f = upperarm 5 13 2 1 7 1 397 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2752 92.4421 % Incorrectly Classified Instances 225 7.5579 % Kappa statistic 0.9118 Mean absolute error 0.0216 Root mean squared error 0.1469 Relative absolute error 8.8176 % Root relative squared error 41.9943 % Total Number of Instances 2977 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.906 0.011 0.93 0.906 0.918 0.947 chest 0.913 0.013 0.924 0.913 0.918 0.95 forearm 0.925 0.014 0.918 0.925 0.922 0.956 head 0.965 0.004 0.976 0.965 0.97 0.98 shin 0.939 0.009 0.948 0.939 0.943 0.965 thigh 0.892 0.024 0.864 0.892 0.878 0.934 upperarm 0.932 0.014 0.915 0.932 0.923 0.959 waist Weighted Avg. 0.924 0.013 0.925 0.924 0.925 0.956 === Confusion Matrix === a b c d e f g <-- classified as 384 3 5 0 4 23 5 | a = chest 3 387 16 0 0 6 12 | b = forearm 0 14 394 0 0 14 4 | c = head 1 0 2 410 7 2 3 | d = shin 6 1 0 4 400 11 4 | e = thigh 16 7 7 5 2 381 9 | f = upperarm 3 7 5 1 9 4 396 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2747 92.2741 % Incorrectly Classified Instances 230 7.7259 % Kappa statistic 0.9099 Mean absolute error 0.0221 Root mean squared error 0.1486 Relative absolute error 9.0136 % Root relative squared error 42.4583 % Total Number of Instances 2977 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.906 0.014 0.912 0.906 0.909 0.946 chest 0.922 0.014 0.918 0.922 0.92 0.954 forearm 0.906 0.015 0.908 0.906 0.907 0.945 head 0.969 0.004 0.974 0.969 0.972 0.983 shin 0.927 0.007 0.956 0.927 0.942 0.96 thigh 0.897 0.022 0.87 0.897 0.884 0.937 upperarm 0.932 0.013 0.923 0.932 0.928 0.959 waist Weighted Avg. 0.923 0.013 0.923 0.923 0.923 0.955 === Confusion Matrix === a b c d e f g <-- classified as 384 6 3 0 4 22 5 | a = chest 1 391 11 2 2 6 11 | b = forearm 7 15 385 0 0 17 1 | c = head 1 1 2 412 5 2 2 | d = shin 8 0 2 6 395 5 10 | e = thigh 18 5 15 1 1 383 4 | f = upperarm 2 8 6 2 6 5 397 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2772 93.1139 % Incorrectly Classified Instances 205 6.8861 % Kappa statistic 0.9197 Mean absolute error 0.0197 Root mean squared error 0.1403 Relative absolute error 8.0338 % Root relative squared error 40.0845 % Total Number of Instances 2977 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.946 0.017 0.901 0.946 0.923 0.964 chest 0.908 0.01 0.939 0.908 0.923 0.949 forearm 0.934 0.014 0.915 0.934 0.924 0.96 head 0.969 0.005 0.967 0.969 0.968 0.982 shin 0.93 0.007 0.957 0.93 0.943 0.961 thigh 0.899 0.015 0.91 0.899 0.905 0.942 upperarm 0.932 0.011 0.932 0.932 0.932 0.96 waist Weighted Avg. 0.931 0.011 0.931 0.931 0.931 0.96 === Confusion Matrix === a b c d e f g <-- classified as 401 0 3 0 1 17 2 | a = chest 4 386 15 3 0 2 15 | b = forearm 8 10 397 0 0 8 2 | c = head 1 2 2 411 6 1 1 | d = shin 7 1 1 8 396 5 8 | e = thigh 21 3 12 2 4 384 1 | f = upperarm 3 9 4 1 7 5 397 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2772 93.1139 % Incorrectly Classified Instances 205 6.8861 % Kappa statistic 0.9197 Mean absolute error 0.0197 Root mean squared error 0.1403 Relative absolute error 8.0338 % Root relative squared error 40.0845 % Total Number of Instances 2977 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.955 0.019 0.892 0.955 0.923 0.968 chest 0.925 0.013 0.92 0.925 0.923 0.956 forearm 0.918 0.014 0.915 0.918 0.917 0.952 head 0.958 0.005 0.969 0.958 0.963 0.976 shin 0.932 0.004 0.973 0.932 0.952 0.964 thigh 0.899 0.014 0.916 0.899 0.908 0.943 upperarm 0.932 0.011 0.936 0.932 0.934 0.961 waist Weighted Avg. 0.931 0.011 0.932 0.931 0.931 0.96 === Confusion Matrix === a b c d e f g <-- classified as 405 1 4 0 1 13 0 | a = chest 5 393 13 1 0 5 8 | b = forearm 3 19 390 2 1 10 0 | c = head 7 1 3 406 2 0 5 | d = shin 2 1 3 9 397 5 9 | e = thigh 25 2 8 1 2 384 5 | f = upperarm 7 10 5 0 5 2 397 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2767 92.9459 % Incorrectly Classified Instances 210 7.0541 % Kappa statistic 0.9177 Mean absolute error 0.0202 Root mean squared error 0.142 Relative absolute error 8.2298 % Root relative squared error 40.5704 % Total Number of Instances 2977 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.929 0.015 0.91 0.929 0.92 0.957 chest 0.915 0.011 0.935 0.915 0.925 0.952 forearm 0.932 0.011 0.934 0.932 0.933 0.96 head 0.972 0.005 0.969 0.972 0.971 0.983 shin 0.92 0.008 0.949 0.92 0.934 0.956 thigh 0.883 0.018 0.891 0.883 0.887 0.932 upperarm 0.955 0.014 0.919 0.955 0.937 0.971 waist Weighted Avg. 0.929 0.012 0.93 0.929 0.929 0.959 === Confusion Matrix === a b c d e f g <-- classified as 395 1 0 0 4 23 2 | a = chest 2 388 13 2 0 5 14 | b = forearm 4 11 397 0 1 12 1 | c = head 2 2 0 412 8 0 0 | d = shin 4 4 2 7 391 5 12 | e = thigh 23 4 11 3 2 377 7 | f = upperarm 4 5 2 1 6 1 407 | g = waist ------------------------------------------------------------------------------------------------------ SUBJECT: 15 RUN: 0 FOLD: 0 Correctly Classified Instances 2984 87.226 % Incorrectly Classified Instances 437 12.774 % Kappa statistic 0.851 Mean absolute error 0.0365 Root mean squared error 0.191 Relative absolute error 14.9031 % Root relative squared error 54.595 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.89 0.013 0.918 0.89 0.904 0.938 chest 0.823 0.026 0.842 0.823 0.832 0.899 forearm 0.888 0.019 0.884 0.888 0.886 0.934 head 0.945 0.01 0.943 0.945 0.944 0.968 shin 0.865 0.024 0.856 0.865 0.86 0.92 thigh 0.845 0.026 0.846 0.845 0.845 0.91 upperarm 0.851 0.031 0.819 0.851 0.835 0.91 waist Weighted Avg. 0.872 0.021 0.873 0.872 0.872 0.925 === Confusion Matrix === a b c d e f g <-- classified as 436 6 8 3 4 30 3 | a = chest 7 400 16 11 16 12 24 | b = forearm 4 24 435 1 7 13 6 | c = head 0 8 1 462 8 6 4 | d = shin 1 6 5 4 422 4 46 | e = thigh 26 19 12 6 4 413 9 | f = upperarm 1 12 15 3 32 10 416 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2982 87.1675 % Incorrectly Classified Instances 439 12.8325 % Kappa statistic 0.8503 Mean absolute error 0.0367 Root mean squared error 0.1915 Relative absolute error 14.9713 % Root relative squared error 54.7198 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.892 0.014 0.916 0.892 0.904 0.939 chest 0.809 0.022 0.86 0.809 0.834 0.893 forearm 0.914 0.023 0.872 0.914 0.892 0.946 head 0.967 0.014 0.922 0.967 0.944 0.977 shin 0.832 0.021 0.87 0.832 0.851 0.906 thigh 0.836 0.027 0.838 0.836 0.837 0.905 upperarm 0.851 0.03 0.824 0.851 0.837 0.91 waist Weighted Avg. 0.872 0.021 0.872 0.872 0.871 0.925 === Confusion Matrix === a b c d e f g <-- classified as 436 7 6 7 3 26 4 | a = chest 6 393 22 9 14 21 21 | b = forearm 3 10 448 6 5 12 6 | c = head 1 1 4 473 4 3 3 | d = shin 2 10 10 7 407 3 50 | e = thigh 26 19 12 9 9 409 5 | f = upperarm 2 17 12 2 26 14 416 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2972 86.8752 % Incorrectly Classified Instances 449 13.1248 % Kappa statistic 0.8469 Mean absolute error 0.0375 Root mean squared error 0.1936 Relative absolute error 15.3123 % Root relative squared error 55.3395 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.896 0.011 0.93 0.896 0.913 0.942 chest 0.802 0.019 0.872 0.802 0.836 0.892 forearm 0.9 0.024 0.863 0.9 0.881 0.938 head 0.947 0.012 0.932 0.947 0.939 0.968 shin 0.822 0.025 0.846 0.822 0.834 0.899 thigh 0.869 0.029 0.835 0.869 0.852 0.92 upperarm 0.845 0.033 0.808 0.845 0.826 0.906 waist Weighted Avg. 0.869 0.022 0.869 0.869 0.869 0.923 === Confusion Matrix === a b c d e f g <-- classified as 438 3 6 2 3 34 3 | a = chest 6 390 26 7 18 14 25 | b = forearm 6 10 441 2 7 20 4 | c = head 0 6 9 463 5 5 1 | d = shin 0 8 10 5 402 5 59 | e = thigh 18 16 8 13 3 425 6 | f = upperarm 3 14 11 5 37 6 413 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3040 88.8629 % Incorrectly Classified Instances 381 11.1371 % Kappa statistic 0.8701 Mean absolute error 0.0318 Root mean squared error 0.1784 Relative absolute error 12.9933 % Root relative squared error 50.977 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.898 0.01 0.94 0.898 0.918 0.944 chest 0.835 0.017 0.888 0.835 0.861 0.909 forearm 0.914 0.019 0.887 0.914 0.901 0.947 head 0.965 0.01 0.944 0.965 0.954 0.978 shin 0.861 0.021 0.873 0.861 0.867 0.92 thigh 0.863 0.026 0.849 0.863 0.856 0.919 upperarm 0.883 0.028 0.842 0.883 0.862 0.928 waist Weighted Avg. 0.889 0.019 0.889 0.889 0.889 0.935 === Confusion Matrix === a b c d e f g <-- classified as 439 4 6 4 6 26 4 | a = chest 4 406 22 4 15 20 15 | b = forearm 2 8 448 5 5 18 4 | c = head 0 7 2 472 2 2 4 | d = shin 1 9 7 3 421 3 45 | e = thigh 21 13 11 10 3 422 9 | f = upperarm 0 10 9 2 30 6 432 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2961 86.5536 % Incorrectly Classified Instances 460 13.4464 % Kappa statistic 0.8431 Mean absolute error 0.0384 Root mean squared error 0.196 Relative absolute error 15.6874 % Root relative squared error 56.0133 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.896 0.013 0.918 0.896 0.907 0.941 chest 0.776 0.025 0.838 0.776 0.806 0.875 forearm 0.894 0.027 0.847 0.894 0.87 0.933 head 0.939 0.009 0.944 0.939 0.942 0.965 shin 0.851 0.022 0.867 0.851 0.859 0.914 thigh 0.859 0.025 0.854 0.859 0.856 0.917 upperarm 0.845 0.036 0.796 0.845 0.819 0.904 waist Weighted Avg. 0.866 0.022 0.866 0.866 0.866 0.922 === Confusion Matrix === a b c d e f g <-- classified as 438 7 11 3 1 22 7 | a = chest 11 377 26 7 18 16 31 | b = forearm 1 18 438 5 10 11 7 | c = head 1 5 7 459 4 10 3 | d = shin 1 7 8 2 416 6 49 | e = thigh 23 20 11 6 0 420 9 | f = upperarm 2 16 16 4 31 7 413 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 3019 88.249 % Incorrectly Classified Instances 402 11.751 % Kappa statistic 0.8629 Mean absolute error 0.0336 Root mean squared error 0.1832 Relative absolute error 13.7095 % Root relative squared error 52.3631 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.892 0.012 0.926 0.892 0.908 0.94 chest 0.844 0.021 0.87 0.844 0.857 0.911 forearm 0.91 0.019 0.89 0.91 0.9 0.946 head 0.933 0.008 0.954 0.933 0.943 0.963 shin 0.873 0.024 0.857 0.873 0.865 0.924 thigh 0.869 0.03 0.828 0.869 0.848 0.92 upperarm 0.857 0.024 0.857 0.857 0.857 0.916 waist Weighted Avg. 0.882 0.02 0.883 0.882 0.883 0.931 === Confusion Matrix === a b c d e f g <-- classified as 436 8 5 2 2 35 1 | a = chest 5 410 19 6 14 16 16 | b = forearm 2 14 446 4 6 14 4 | c = head 1 7 1 456 11 9 4 | d = shin 1 5 11 2 427 7 36 | e = thigh 23 16 9 4 3 425 9 | f = upperarm 3 11 10 4 35 7 419 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2992 87.4598 % Incorrectly Classified Instances 429 12.5402 % Kappa statistic 0.8537 Mean absolute error 0.0358 Root mean squared error 0.1893 Relative absolute error 14.6302 % Root relative squared error 54.093 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.878 0.013 0.919 0.878 0.898 0.932 chest 0.804 0.024 0.848 0.804 0.825 0.89 forearm 0.916 0.024 0.865 0.916 0.89 0.946 head 0.951 0.006 0.961 0.951 0.956 0.972 shin 0.857 0.024 0.855 0.857 0.856 0.916 thigh 0.851 0.026 0.844 0.851 0.847 0.912 upperarm 0.865 0.029 0.834 0.865 0.849 0.918 waist Weighted Avg. 0.875 0.021 0.875 0.875 0.875 0.927 === Confusion Matrix === a b c d e f g <-- classified as 430 9 11 3 6 26 5 | a = chest 8 390 27 3 19 10 28 | b = forearm 2 11 449 1 5 22 0 | c = head 1 8 5 465 3 5 2 | d = shin 1 12 7 3 419 3 44 | e = thigh 25 20 11 8 4 416 5 | f = upperarm 1 10 9 1 34 11 423 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2997 87.606 % Incorrectly Classified Instances 424 12.394 % Kappa statistic 0.8554 Mean absolute error 0.0354 Root mean squared error 0.1882 Relative absolute error 14.4597 % Root relative squared error 53.7768 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.892 0.012 0.926 0.892 0.909 0.94 chest 0.808 0.019 0.873 0.808 0.839 0.894 forearm 0.904 0.026 0.855 0.904 0.879 0.939 head 0.969 0.012 0.933 0.969 0.951 0.979 shin 0.845 0.02 0.877 0.845 0.86 0.912 thigh 0.859 0.026 0.848 0.859 0.854 0.917 upperarm 0.855 0.031 0.823 0.855 0.839 0.912 waist Weighted Avg. 0.876 0.021 0.876 0.876 0.876 0.928 === Confusion Matrix === a b c d e f g <-- classified as 437 4 8 5 4 29 3 | a = chest 6 392 25 7 16 17 22 | b = forearm 4 14 443 2 6 16 5 | c = head 0 3 5 473 3 4 0 | d = shin 2 6 9 4 413 3 52 | e = thigh 23 13 13 8 4 420 8 | f = upperarm 0 17 15 8 25 6 419 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2947 86.1444 % Incorrectly Classified Instances 474 13.8556 % Kappa statistic 0.8383 Mean absolute error 0.0396 Root mean squared error 0.199 Relative absolute error 16.1649 % Root relative squared error 56.8593 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.863 0.016 0.902 0.863 0.882 0.924 chest 0.765 0.028 0.821 0.765 0.792 0.869 forearm 0.882 0.022 0.869 0.882 0.875 0.93 head 0.953 0.009 0.949 0.953 0.951 0.972 shin 0.861 0.03 0.825 0.861 0.843 0.915 thigh 0.853 0.03 0.826 0.853 0.839 0.911 upperarm 0.853 0.027 0.839 0.853 0.846 0.913 waist Weighted Avg. 0.861 0.023 0.862 0.861 0.861 0.919 === Confusion Matrix === a b c d e f g <-- classified as 423 10 9 5 8 34 1 | a = chest 8 371 31 6 21 19 29 | b = forearm 7 17 432 3 4 22 5 | c = head 1 12 4 465 3 2 1 | d = shin 1 15 6 3 421 3 40 | e = thigh 29 14 10 6 9 417 4 | f = upperarm 0 13 5 2 44 8 418 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2972 86.9006 % Incorrectly Classified Instances 448 13.0994 % Kappa statistic 0.8472 Mean absolute error 0.0374 Root mean squared error 0.1935 Relative absolute error 15.2827 % Root relative squared error 55.2859 % Total Number of Instances 3420 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.914 0.012 0.926 0.914 0.92 0.951 chest 0.819 0.027 0.836 0.819 0.827 0.896 forearm 0.904 0.019 0.888 0.904 0.896 0.942 head 0.93 0.01 0.94 0.93 0.935 0.96 shin 0.838 0.028 0.832 0.838 0.835 0.905 thigh 0.846 0.025 0.852 0.846 0.849 0.911 upperarm 0.83 0.032 0.812 0.83 0.821 0.899 waist Weighted Avg. 0.869 0.022 0.869 0.869 0.869 0.924 === Confusion Matrix === a b c d e f g <-- classified as 448 3 6 2 3 24 4 | a = chest 11 398 21 5 17 16 18 | b = forearm 1 18 442 3 7 11 7 | c = head 1 5 7 455 8 9 4 | d = shin 5 10 4 6 410 2 52 | e = thigh 15 23 12 12 4 413 9 | f = upperarm 3 19 6 1 44 10 406 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 1 FOLD: 0 Correctly Classified Instances 2989 87.3721 % Incorrectly Classified Instances 432 12.6279 % Kappa statistic 0.8527 Mean absolute error 0.0361 Root mean squared error 0.1899 Relative absolute error 14.7326 % Root relative squared error 54.2818 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.896 0.014 0.916 0.896 0.906 0.941 chest 0.816 0.02 0.872 0.816 0.843 0.898 forearm 0.904 0.024 0.864 0.904 0.883 0.94 head 0.951 0.01 0.939 0.951 0.945 0.97 shin 0.852 0.025 0.852 0.852 0.852 0.914 thigh 0.84 0.026 0.844 0.84 0.842 0.907 upperarm 0.855 0.029 0.83 0.855 0.842 0.913 waist Weighted Avg. 0.874 0.021 0.874 0.874 0.874 0.926 === Confusion Matrix === a b c d e f g <-- classified as 439 5 11 4 3 25 3 | a = chest 6 396 24 5 16 19 19 | b = forearm 1 15 443 4 6 16 5 | c = head 1 5 4 465 4 8 2 | d = shin 3 6 5 4 416 3 51 | e = thigh 27 20 12 8 5 411 6 | f = upperarm 2 7 14 5 38 5 419 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2985 87.2552 % Incorrectly Classified Instances 436 12.7448 % Kappa statistic 0.8513 Mean absolute error 0.0364 Root mean squared error 0.1908 Relative absolute error 14.869 % Root relative squared error 54.5325 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.902 0.014 0.917 0.902 0.909 0.944 chest 0.781 0.018 0.877 0.781 0.827 0.882 forearm 0.918 0.027 0.852 0.918 0.884 0.946 head 0.945 0.009 0.949 0.945 0.947 0.968 shin 0.832 0.024 0.851 0.832 0.842 0.904 thigh 0.857 0.024 0.855 0.857 0.856 0.916 upperarm 0.871 0.033 0.813 0.871 0.841 0.919 waist Weighted Avg. 0.873 0.021 0.874 0.873 0.872 0.926 === Confusion Matrix === a b c d e f g <-- classified as 442 4 7 1 6 27 3 | a = chest 10 379 28 5 14 18 31 | b = forearm 1 10 449 5 6 15 3 | c = head 2 4 7 462 6 5 3 | d = shin 5 10 15 3 407 2 47 | e = thigh 20 16 14 5 4 419 11 | f = upperarm 2 9 7 6 35 4 427 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2996 87.5767 % Incorrectly Classified Instances 425 12.4233 % Kappa statistic 0.8551 Mean absolute error 0.0355 Root mean squared error 0.1884 Relative absolute error 14.4938 % Root relative squared error 53.8402 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.9 0.014 0.915 0.9 0.907 0.943 chest 0.821 0.022 0.86 0.821 0.84 0.899 forearm 0.92 0.025 0.861 0.92 0.89 0.948 head 0.949 0.009 0.945 0.949 0.947 0.97 shin 0.859 0.025 0.85 0.859 0.855 0.917 thigh 0.847 0.022 0.866 0.847 0.856 0.912 upperarm 0.834 0.028 0.834 0.834 0.834 0.903 waist Weighted Avg. 0.876 0.021 0.876 0.876 0.876 0.928 === Confusion Matrix === a b c d e f g <-- classified as 441 8 6 5 5 24 1 | a = chest 6 399 21 7 19 12 22 | b = forearm 3 9 451 4 6 12 5 | c = head 0 5 9 463 5 4 2 | d = shin 0 7 9 4 420 2 47 | e = thigh 29 17 13 5 7 414 4 | f = upperarm 3 19 15 2 32 10 408 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2996 87.5767 % Incorrectly Classified Instances 425 12.4233 % Kappa statistic 0.8551 Mean absolute error 0.0355 Root mean squared error 0.1884 Relative absolute error 14.4938 % Root relative squared error 53.8402 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.886 0.015 0.908 0.886 0.897 0.935 chest 0.823 0.02 0.871 0.823 0.847 0.901 forearm 0.908 0.023 0.867 0.908 0.887 0.942 head 0.945 0.009 0.947 0.945 0.946 0.968 shin 0.867 0.025 0.851 0.867 0.859 0.921 thigh 0.847 0.024 0.857 0.847 0.852 0.912 upperarm 0.855 0.029 0.831 0.855 0.843 0.913 waist Weighted Avg. 0.876 0.021 0.876 0.876 0.876 0.928 === Confusion Matrix === a b c d e f g <-- classified as 434 5 6 5 8 28 4 | a = chest 7 400 28 5 15 12 19 | b = forearm 2 10 445 3 8 13 9 | c = head 0 5 6 461 6 6 4 | d = shin 1 7 7 6 424 3 41 | e = thigh 31 14 12 5 5 414 8 | f = upperarm 3 18 9 2 32 7 418 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2947 86.1444 % Incorrectly Classified Instances 474 13.8556 % Kappa statistic 0.8383 Mean absolute error 0.0396 Root mean squared error 0.199 Relative absolute error 16.1649 % Root relative squared error 56.8593 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.914 0.015 0.911 0.914 0.912 0.95 chest 0.786 0.016 0.888 0.786 0.834 0.885 forearm 0.9 0.026 0.853 0.9 0.876 0.937 head 0.943 0.009 0.945 0.943 0.944 0.967 shin 0.826 0.028 0.831 0.826 0.829 0.899 thigh 0.84 0.028 0.833 0.84 0.837 0.906 upperarm 0.82 0.039 0.777 0.82 0.798 0.89 waist Weighted Avg. 0.861 0.023 0.863 0.861 0.861 0.919 === Confusion Matrix === a b c d e f g <-- classified as 448 2 7 2 1 25 5 | a = chest 9 382 29 4 21 17 24 | b = forearm 6 12 441 2 3 20 6 | c = head 0 6 5 461 8 4 5 | d = shin 2 4 7 4 404 4 64 | e = thigh 24 16 11 13 3 410 11 | f = upperarm 3 8 17 2 46 12 401 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2978 87.0506 % Incorrectly Classified Instances 443 12.9494 % Kappa statistic 0.8489 Mean absolute error 0.037 Root mean squared error 0.1923 Relative absolute error 15.1077 % Root relative squared error 54.9685 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.89 0.013 0.92 0.89 0.904 0.938 chest 0.8 0.024 0.847 0.8 0.823 0.888 forearm 0.888 0.021 0.873 0.888 0.881 0.933 head 0.949 0.009 0.949 0.949 0.949 0.97 shin 0.859 0.025 0.852 0.859 0.855 0.917 thigh 0.834 0.026 0.845 0.834 0.84 0.904 upperarm 0.873 0.034 0.812 0.873 0.841 0.92 waist Weighted Avg. 0.871 0.022 0.871 0.871 0.871 0.924 === Confusion Matrix === a b c d e f g <-- classified as 435 2 10 2 3 33 4 | a = chest 10 389 17 5 22 8 35 | b = forearm 2 18 435 3 8 20 4 | c = head 0 8 3 464 8 3 3 | d = shin 0 10 8 4 420 4 43 | e = thigh 25 19 17 8 2 408 10 | f = upperarm 1 13 8 3 30 7 427 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2967 86.729 % Incorrectly Classified Instances 454 13.271 % Kappa statistic 0.8452 Mean absolute error 0.0379 Root mean squared error 0.1947 Relative absolute error 15.4828 % Root relative squared error 55.6468 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.877 0.015 0.905 0.877 0.891 0.931 chest 0.78 0.019 0.869 0.78 0.822 0.88 forearm 0.912 0.027 0.848 0.912 0.879 0.942 head 0.935 0.008 0.954 0.935 0.944 0.964 shin 0.836 0.022 0.863 0.836 0.849 0.907 thigh 0.845 0.025 0.848 0.845 0.846 0.91 upperarm 0.885 0.038 0.796 0.885 0.838 0.924 waist Weighted Avg. 0.867 0.022 0.869 0.867 0.867 0.923 === Confusion Matrix === a b c d e f g <-- classified as 429 6 13 3 2 29 7 | a = chest 10 379 29 5 17 15 31 | b = forearm 3 12 447 2 9 14 3 | c = head 1 10 4 457 7 5 5 | d = shin 1 8 8 2 409 4 57 | e = thigh 29 13 13 8 5 413 8 | f = upperarm 1 8 13 2 25 7 433 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3012 88.0444 % Incorrectly Classified Instances 409 11.9556 % Kappa statistic 0.8605 Mean absolute error 0.0342 Root mean squared error 0.1848 Relative absolute error 13.9482 % Root relative squared error 52.817 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.9 0.01 0.94 0.9 0.92 0.945 chest 0.796 0.027 0.83 0.796 0.813 0.885 forearm 0.908 0.024 0.864 0.908 0.886 0.942 head 0.959 0.007 0.959 0.959 0.959 0.976 shin 0.853 0.02 0.874 0.853 0.863 0.916 thigh 0.873 0.025 0.856 0.873 0.864 0.924 upperarm 0.873 0.027 0.842 0.873 0.857 0.923 waist Weighted Avg. 0.88 0.02 0.881 0.88 0.88 0.93 === Confusion Matrix === a b c d e f g <-- classified as 440 8 5 2 6 25 3 | a = chest 9 387 30 7 16 23 14 | b = forearm 2 18 445 1 4 11 9 | c = head 0 4 8 469 1 2 5 | d = shin 2 11 12 1 417 3 43 | e = thigh 13 23 9 7 4 427 6 | f = upperarm 2 15 6 2 29 8 427 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2979 87.0798 % Incorrectly Classified Instances 442 12.9202 % Kappa statistic 0.8493 Mean absolute error 0.0369 Root mean squared error 0.1921 Relative absolute error 15.0736 % Root relative squared error 54.9064 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.879 0.013 0.921 0.879 0.9 0.933 chest 0.8 0.025 0.844 0.8 0.822 0.888 forearm 0.91 0.023 0.869 0.91 0.889 0.944 head 0.943 0.01 0.943 0.943 0.943 0.967 shin 0.867 0.028 0.838 0.867 0.852 0.92 thigh 0.855 0.025 0.851 0.855 0.853 0.915 upperarm 0.84 0.028 0.832 0.84 0.836 0.906 waist Weighted Avg. 0.871 0.022 0.871 0.871 0.871 0.925 === Confusion Matrix === a b c d e f g <-- classified as 430 6 10 7 3 31 2 | a = chest 7 389 27 8 23 15 17 | b = forearm 2 15 446 4 5 13 5 | c = head 1 7 6 461 5 5 4 | d = shin 4 7 5 3 424 3 43 | e = thigh 22 20 8 4 5 418 12 | f = upperarm 1 17 11 2 41 6 411 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2975 86.9883 % Incorrectly Classified Instances 445 13.0117 % Kappa statistic 0.8482 Mean absolute error 0.0372 Root mean squared error 0.1928 Relative absolute error 15.1803 % Root relative squared error 55.1005 % Total Number of Instances 3420 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.863 0.013 0.915 0.863 0.888 0.925 chest 0.833 0.022 0.86 0.833 0.846 0.905 forearm 0.89 0.026 0.852 0.89 0.87 0.932 head 0.945 0.01 0.939 0.945 0.942 0.967 shin 0.863 0.023 0.863 0.863 0.863 0.92 thigh 0.838 0.024 0.854 0.838 0.846 0.907 upperarm 0.857 0.033 0.812 0.857 0.834 0.912 waist Weighted Avg. 0.87 0.022 0.871 0.87 0.87 0.924 === Confusion Matrix === a b c d e f g <-- classified as 422 7 13 2 8 31 6 | a = chest 8 404 21 5 15 10 22 | b = forearm 5 15 436 7 6 18 3 | c = head 1 3 7 462 5 3 8 | d = shin 0 9 6 2 422 3 47 | e = thigh 21 11 15 12 9 410 11 | f = upperarm 4 21 14 2 24 5 419 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 2 FOLD: 0 Correctly Classified Instances 2968 86.7583 % Incorrectly Classified Instances 453 13.2417 % Kappa statistic 0.8455 Mean absolute error 0.0378 Root mean squared error 0.1945 Relative absolute error 15.4487 % Root relative squared error 55.5855 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.894 0.012 0.928 0.894 0.911 0.941 chest 0.794 0.024 0.848 0.794 0.82 0.885 forearm 0.894 0.025 0.855 0.894 0.874 0.934 head 0.934 0.009 0.944 0.934 0.939 0.963 shin 0.828 0.021 0.869 0.828 0.848 0.904 thigh 0.863 0.028 0.839 0.863 0.851 0.918 upperarm 0.865 0.036 0.798 0.865 0.83 0.914 waist Weighted Avg. 0.868 0.022 0.869 0.868 0.868 0.923 === Confusion Matrix === a b c d e f g <-- classified as 438 8 8 4 5 24 3 | a = chest 8 386 26 6 17 14 29 | b = forearm 4 14 438 3 4 24 3 | c = head 0 6 7 456 2 7 10 | d = shin 1 12 12 3 405 3 53 | e = thigh 21 16 8 10 3 422 9 | f = upperarm 0 13 13 1 30 9 423 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2971 86.846 % Incorrectly Classified Instances 450 13.154 % Kappa statistic 0.8465 Mean absolute error 0.0376 Root mean squared error 0.1939 Relative absolute error 15.3464 % Root relative squared error 55.4011 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.902 0.017 0.9 0.902 0.901 0.943 chest 0.761 0.024 0.841 0.761 0.799 0.869 forearm 0.91 0.026 0.854 0.91 0.881 0.942 head 0.943 0.011 0.933 0.943 0.938 0.966 shin 0.879 0.024 0.86 0.879 0.87 0.928 thigh 0.834 0.024 0.852 0.834 0.843 0.905 upperarm 0.849 0.028 0.837 0.849 0.843 0.911 waist Weighted Avg. 0.868 0.022 0.868 0.868 0.868 0.923 === Confusion Matrix === a b c d e f g <-- classified as 442 6 5 3 6 26 2 | a = chest 12 370 34 12 18 14 26 | b = forearm 3 11 445 3 6 14 7 | c = head 1 4 8 461 5 6 4 | d = shin 1 9 7 3 430 3 36 | e = thigh 31 20 11 8 5 408 6 | f = upperarm 1 20 11 4 30 8 415 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2996 87.5767 % Incorrectly Classified Instances 425 12.4233 % Kappa statistic 0.8551 Mean absolute error 0.0355 Root mean squared error 0.1884 Relative absolute error 14.4938 % Root relative squared error 53.8402 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.908 0.012 0.929 0.908 0.918 0.948 chest 0.809 0.019 0.873 0.809 0.84 0.895 forearm 0.894 0.021 0.876 0.894 0.885 0.936 head 0.947 0.009 0.949 0.947 0.948 0.969 shin 0.849 0.025 0.852 0.849 0.85 0.912 thigh 0.873 0.024 0.859 0.873 0.866 0.925 upperarm 0.851 0.036 0.798 0.851 0.824 0.907 waist Weighted Avg. 0.876 0.021 0.877 0.876 0.876 0.928 === Confusion Matrix === a b c d e f g <-- classified as 445 7 5 4 5 22 2 | a = chest 8 393 21 3 16 19 26 | b = forearm 5 17 438 6 7 11 6 | c = head 0 5 5 463 7 5 4 | d = shin 1 5 3 4 415 5 56 | e = thigh 18 10 14 7 2 426 11 | f = upperarm 2 13 14 1 35 8 416 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2988 87.3429 % Incorrectly Classified Instances 433 12.6571 % Kappa statistic 0.8523 Mean absolute error 0.0362 Root mean squared error 0.1902 Relative absolute error 14.7667 % Root relative squared error 54.3446 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.882 0.017 0.898 0.882 0.89 0.932 chest 0.854 0.025 0.85 0.854 0.852 0.915 forearm 0.91 0.022 0.873 0.91 0.891 0.944 head 0.949 0.007 0.957 0.949 0.953 0.971 shin 0.852 0.023 0.86 0.852 0.856 0.915 thigh 0.816 0.028 0.83 0.816 0.823 0.894 upperarm 0.851 0.026 0.847 0.851 0.849 0.913 waist Weighted Avg. 0.873 0.021 0.874 0.873 0.873 0.926 === Confusion Matrix === a b c d e f g <-- classified as 432 5 10 2 4 33 4 | a = chest 6 415 22 4 12 16 11 | b = forearm 4 10 446 2 8 16 4 | c = head 0 5 1 464 8 7 4 | d = shin 2 8 12 4 416 2 44 | e = thigh 34 29 11 3 5 399 8 | f = upperarm 3 16 9 6 31 8 416 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2979 87.0798 % Incorrectly Classified Instances 442 12.9202 % Kappa statistic 0.8493 Mean absolute error 0.0369 Root mean squared error 0.1921 Relative absolute error 15.0736 % Root relative squared error 54.9064 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.878 0.015 0.905 0.878 0.891 0.931 chest 0.831 0.026 0.843 0.831 0.837 0.903 forearm 0.882 0.02 0.88 0.882 0.881 0.931 head 0.961 0.009 0.949 0.961 0.955 0.976 shin 0.851 0.024 0.856 0.851 0.853 0.913 thigh 0.843 0.031 0.821 0.843 0.831 0.906 upperarm 0.851 0.027 0.842 0.851 0.846 0.912 waist Weighted Avg. 0.871 0.022 0.871 0.871 0.871 0.925 === Confusion Matrix === a b c d e f g <-- classified as 430 8 9 4 2 32 5 | a = chest 11 403 18 1 20 11 21 | b = forearm 5 15 432 1 8 26 3 | c = head 1 7 3 470 3 4 1 | d = shin 3 11 5 7 416 5 42 | e = thigh 25 21 10 8 7 412 6 | f = upperarm 0 13 14 4 30 12 416 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2966 86.6998 % Incorrectly Classified Instances 455 13.3002 % Kappa statistic 0.8448 Mean absolute error 0.038 Root mean squared error 0.1949 Relative absolute error 15.5169 % Root relative squared error 55.708 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.892 0.014 0.912 0.892 0.902 0.939 chest 0.786 0.024 0.845 0.786 0.814 0.881 forearm 0.896 0.024 0.861 0.896 0.878 0.936 head 0.949 0.011 0.935 0.949 0.942 0.969 shin 0.851 0.03 0.825 0.851 0.838 0.91 thigh 0.838 0.019 0.88 0.838 0.859 0.91 upperarm 0.857 0.033 0.814 0.857 0.835 0.912 waist Weighted Avg. 0.867 0.022 0.867 0.867 0.867 0.922 === Confusion Matrix === a b c d e f g <-- classified as 436 11 7 5 2 24 4 | a = chest 10 381 29 6 25 11 23 | b = forearm 3 15 439 5 10 10 8 | c = head 0 8 5 464 7 5 0 | d = shin 2 7 7 7 416 2 48 | e = thigh 24 17 14 7 4 410 13 | f = upperarm 3 12 9 2 40 4 420 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 3014 88.1029 % Incorrectly Classified Instances 407 11.8971 % Kappa statistic 0.8612 Mean absolute error 0.034 Root mean squared error 0.1844 Relative absolute error 13.88 % Root relative squared error 52.6877 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.875 0.011 0.928 0.875 0.901 0.932 chest 0.81 0.023 0.854 0.81 0.832 0.894 forearm 0.929 0.022 0.877 0.929 0.902 0.953 head 0.939 0.008 0.95 0.939 0.944 0.965 shin 0.875 0.02 0.879 0.875 0.877 0.928 thigh 0.871 0.025 0.854 0.871 0.862 0.923 upperarm 0.867 0.03 0.83 0.867 0.848 0.919 waist Weighted Avg. 0.881 0.02 0.882 0.881 0.881 0.931 === Confusion Matrix === a b c d e f g <-- classified as 428 9 10 4 2 31 5 | a = chest 6 393 20 4 14 18 30 | b = forearm 0 9 455 6 5 13 2 | c = head 1 10 6 459 7 3 3 | d = shin 1 7 6 3 428 4 40 | e = thigh 22 15 11 5 3 426 7 | f = upperarm 3 17 11 2 28 4 425 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2980 87.109 % Incorrectly Classified Instances 441 12.891 % Kappa statistic 0.8496 Mean absolute error 0.0368 Root mean squared error 0.1919 Relative absolute error 15.0395 % Root relative squared error 54.8443 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.916 0.018 0.896 0.916 0.906 0.949 chest 0.829 0.025 0.848 0.829 0.839 0.902 forearm 0.888 0.024 0.863 0.888 0.875 0.932 head 0.951 0.007 0.957 0.951 0.954 0.972 shin 0.834 0.02 0.872 0.834 0.853 0.907 thigh 0.808 0.025 0.846 0.808 0.826 0.892 upperarm 0.871 0.032 0.818 0.871 0.844 0.919 waist Weighted Avg. 0.871 0.021 0.871 0.871 0.871 0.925 === Confusion Matrix === a b c d e f g <-- classified as 448 4 8 0 3 25 1 | a = chest 11 403 17 5 13 16 21 | b = forearm 4 20 435 2 6 21 2 | c = head 1 7 7 465 6 2 1 | d = shin 2 9 8 2 408 1 59 | e = thigh 30 21 18 11 3 395 11 | f = upperarm 4 11 11 1 29 7 426 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2974 86.9336 % Incorrectly Classified Instances 447 13.0664 % Kappa statistic 0.8476 Mean absolute error 0.0373 Root mean squared error 0.1932 Relative absolute error 15.2441 % Root relative squared error 55.2161 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.898 0.015 0.911 0.898 0.904 0.942 chest 0.802 0.023 0.853 0.802 0.827 0.89 forearm 0.924 0.023 0.873 0.924 0.898 0.951 head 0.955 0.009 0.947 0.955 0.951 0.973 shin 0.845 0.028 0.836 0.845 0.84 0.908 thigh 0.826 0.021 0.869 0.826 0.847 0.903 upperarm 0.834 0.035 0.798 0.834 0.816 0.9 waist Weighted Avg. 0.869 0.022 0.87 0.869 0.869 0.924 === Confusion Matrix === a b c d e f g <-- classified as 439 3 7 2 7 27 4 | a = chest 11 390 26 5 12 13 29 | b = forearm 3 16 453 1 5 10 2 | c = head 1 5 4 467 6 2 4 | d = shin 1 11 7 1 413 3 53 | e = thigh 22 17 10 13 12 404 11 | f = upperarm 5 15 12 4 39 6 408 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2972 86.9006 % Incorrectly Classified Instances 448 13.0994 % Kappa statistic 0.8472 Mean absolute error 0.0374 Root mean squared error 0.1935 Relative absolute error 15.2827 % Root relative squared error 55.2859 % Total Number of Instances 3420 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.881 0.011 0.931 0.881 0.905 0.935 chest 0.788 0.022 0.853 0.788 0.819 0.883 forearm 0.89 0.024 0.862 0.89 0.876 0.933 head 0.945 0.009 0.945 0.945 0.945 0.968 shin 0.83 0.026 0.842 0.83 0.836 0.902 thigh 0.888 0.028 0.843 0.888 0.865 0.93 upperarm 0.861 0.033 0.814 0.861 0.837 0.914 waist Weighted Avg. 0.869 0.022 0.87 0.869 0.869 0.924 === Confusion Matrix === a b c d e f g <-- classified as 431 4 7 6 4 30 7 | a = chest 8 383 27 10 22 18 18 | b = forearm 4 14 436 4 5 15 12 | c = head 1 6 5 461 4 5 6 | d = shin 4 11 9 4 406 4 51 | e = thigh 14 20 11 3 5 434 2 | f = upperarm 1 11 11 0 36 9 421 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 3 FOLD: 0 Correctly Classified Instances 2992 87.4598 % Incorrectly Classified Instances 429 12.5402 % Kappa statistic 0.8537 Mean absolute error 0.0358 Root mean squared error 0.1893 Relative absolute error 14.6302 % Root relative squared error 54.093 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.896 0.013 0.92 0.896 0.908 0.941 chest 0.807 0.024 0.85 0.807 0.828 0.892 forearm 0.914 0.022 0.873 0.914 0.893 0.946 head 0.959 0.01 0.944 0.959 0.951 0.975 shin 0.852 0.025 0.852 0.852 0.852 0.914 thigh 0.857 0.026 0.845 0.857 0.851 0.915 upperarm 0.836 0.027 0.836 0.836 0.836 0.905 waist Weighted Avg. 0.875 0.021 0.875 0.875 0.874 0.927 === Confusion Matrix === a b c d e f g <-- classified as 439 5 6 3 4 30 3 | a = chest 11 392 27 4 17 16 19 | b = forearm 1 16 448 2 7 12 4 | c = head 0 3 3 469 5 6 3 | d = shin 1 11 7 4 416 4 45 | e = thigh 23 19 9 10 3 419 6 | f = upperarm 2 15 13 5 36 9 409 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2956 86.4075 % Incorrectly Classified Instances 465 13.5925 % Kappa statistic 0.8414 Mean absolute error 0.0388 Root mean squared error 0.1971 Relative absolute error 15.858 % Root relative squared error 56.3169 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.886 0.018 0.891 0.886 0.888 0.934 chest 0.782 0.018 0.876 0.782 0.826 0.882 forearm 0.882 0.024 0.859 0.882 0.87 0.929 head 0.953 0.014 0.921 0.953 0.937 0.97 shin 0.849 0.022 0.865 0.849 0.857 0.913 thigh 0.848 0.029 0.83 0.848 0.839 0.91 upperarm 0.849 0.033 0.811 0.849 0.829 0.908 waist Weighted Avg. 0.864 0.023 0.864 0.864 0.864 0.921 === Confusion Matrix === a b c d e f g <-- classified as 434 4 10 5 6 24 7 | a = chest 10 380 25 12 12 23 24 | b = forearm 7 18 432 5 4 19 5 | c = head 2 1 5 466 6 7 2 | d = shin 2 5 10 6 415 3 48 | e = thigh 29 11 10 8 5 414 11 | f = upperarm 3 15 11 4 32 9 415 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2975 86.9629 % Incorrectly Classified Instances 446 13.0371 % Kappa statistic 0.8479 Mean absolute error 0.0372 Root mean squared error 0.193 Relative absolute error 15.21 % Root relative squared error 55.1543 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.908 0.016 0.906 0.908 0.907 0.946 chest 0.813 0.026 0.837 0.813 0.825 0.893 forearm 0.902 0.027 0.848 0.902 0.874 0.937 head 0.935 0.009 0.946 0.935 0.94 0.963 shin 0.875 0.025 0.856 0.875 0.866 0.925 thigh 0.808 0.024 0.849 0.808 0.828 0.892 upperarm 0.847 0.026 0.845 0.847 0.846 0.91 waist Weighted Avg. 0.87 0.022 0.87 0.87 0.869 0.924 === Confusion Matrix === a b c d e f g <-- classified as 445 3 8 1 2 30 1 | a = chest 5 395 27 7 16 9 27 | b = forearm 4 18 441 3 4 18 1 | c = head 1 10 10 457 6 4 1 | d = shin 3 9 6 5 428 2 36 | e = thigh 30 24 14 9 7 395 10 | f = upperarm 3 13 14 1 37 7 414 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2990 87.4013 % Incorrectly Classified Instances 431 12.5987 % Kappa statistic 0.853 Mean absolute error 0.036 Root mean squared error 0.1897 Relative absolute error 14.6984 % Root relative squared error 54.2189 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.892 0.013 0.922 0.892 0.907 0.94 chest 0.827 0.023 0.855 0.827 0.841 0.902 forearm 0.918 0.021 0.879 0.918 0.898 0.949 head 0.955 0.009 0.945 0.955 0.95 0.973 shin 0.81 0.023 0.853 0.81 0.831 0.893 thigh 0.869 0.025 0.852 0.869 0.86 0.922 upperarm 0.847 0.032 0.813 0.847 0.83 0.907 waist Weighted Avg. 0.874 0.021 0.874 0.874 0.874 0.927 === Confusion Matrix === a b c d e f g <-- classified as 437 4 7 3 2 34 3 | a = chest 6 402 26 4 15 12 21 | b = forearm 4 10 450 2 7 13 4 | c = head 1 6 5 466 4 3 3 | d = shin 4 13 8 5 396 5 58 | e = thigh 20 19 6 10 3 425 6 | f = upperarm 2 16 10 3 37 7 414 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 3029 88.5414 % Incorrectly Classified Instances 392 11.4586 % Kappa statistic 0.8663 Mean absolute error 0.0327 Root mean squared error 0.1809 Relative absolute error 13.3684 % Root relative squared error 51.7077 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.91 0.014 0.916 0.91 0.913 0.948 chest 0.827 0.015 0.899 0.827 0.862 0.906 forearm 0.906 0.02 0.883 0.906 0.894 0.943 head 0.963 0.008 0.951 0.963 0.957 0.977 shin 0.877 0.023 0.867 0.877 0.872 0.927 thigh 0.859 0.029 0.83 0.859 0.844 0.915 upperarm 0.855 0.024 0.855 0.855 0.855 0.915 waist Weighted Avg. 0.885 0.019 0.886 0.885 0.885 0.933 === Confusion Matrix === a b c d e f g <-- classified as 446 4 5 4 4 25 2 | a = chest 8 402 21 3 16 15 21 | b = forearm 3 7 444 6 6 20 4 | c = head 1 3 1 470 6 6 1 | d = shin 1 6 6 2 429 7 38 | e = thigh 26 15 15 6 2 420 5 | f = upperarm 2 10 11 3 32 13 418 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2989 87.3721 % Incorrectly Classified Instances 432 12.6279 % Kappa statistic 0.8527 Mean absolute error 0.0361 Root mean squared error 0.1899 Relative absolute error 14.7325 % Root relative squared error 54.2818 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.906 0.011 0.933 0.906 0.919 0.948 chest 0.805 0.025 0.841 0.805 0.822 0.89 forearm 0.896 0.026 0.854 0.896 0.875 0.935 head 0.939 0.013 0.925 0.939 0.932 0.963 shin 0.849 0.02 0.874 0.849 0.861 0.914 thigh 0.869 0.024 0.859 0.869 0.864 0.923 upperarm 0.853 0.029 0.832 0.853 0.842 0.912 waist Weighted Avg. 0.874 0.021 0.874 0.874 0.874 0.926 === Confusion Matrix === a b c d e f g <-- classified as 443 10 7 7 0 19 3 | a = chest 11 391 26 4 12 22 20 | b = forearm 3 17 439 3 9 15 4 | c = head 0 7 6 459 8 7 2 | d = shin 1 3 13 5 415 2 50 | e = thigh 16 16 12 10 5 425 5 | f = upperarm 1 21 11 8 26 5 417 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2971 86.846 % Incorrectly Classified Instances 450 13.154 % Kappa statistic 0.8465 Mean absolute error 0.0376 Root mean squared error 0.1939 Relative absolute error 15.3464 % Root relative squared error 55.4011 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.869 0.011 0.932 0.869 0.899 0.929 chest 0.796 0.021 0.86 0.796 0.827 0.887 forearm 0.927 0.025 0.861 0.927 0.893 0.951 head 0.947 0.013 0.926 0.947 0.936 0.967 shin 0.84 0.027 0.84 0.84 0.84 0.907 thigh 0.847 0.028 0.836 0.847 0.841 0.909 upperarm 0.853 0.03 0.827 0.853 0.84 0.912 waist Weighted Avg. 0.868 0.022 0.869 0.868 0.868 0.923 === Confusion Matrix === a b c d e f g <-- classified as 425 5 14 5 4 33 3 | a = chest 3 387 23 12 23 17 21 | b = forearm 0 13 454 3 4 15 1 | c = head 0 9 3 463 6 5 3 | d = shin 2 11 8 4 411 3 50 | e = thigh 24 16 12 11 3 414 9 | f = upperarm 2 9 13 2 38 8 417 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2979 87.0798 % Incorrectly Classified Instances 442 12.9202 % Kappa statistic 0.8493 Mean absolute error 0.0369 Root mean squared error 0.1921 Relative absolute error 15.0736 % Root relative squared error 54.9064 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.89 0.018 0.891 0.89 0.89 0.936 chest 0.81 0.021 0.862 0.81 0.835 0.894 forearm 0.906 0.023 0.867 0.906 0.886 0.941 head 0.957 0.011 0.936 0.957 0.946 0.973 shin 0.851 0.027 0.84 0.851 0.846 0.912 thigh 0.826 0.019 0.876 0.826 0.851 0.903 upperarm 0.855 0.031 0.823 0.855 0.839 0.912 waist Weighted Avg. 0.871 0.022 0.871 0.871 0.871 0.925 === Confusion Matrix === a b c d e f g <-- classified as 435 6 9 3 7 27 2 | a = chest 14 393 24 6 17 9 22 | b = forearm 6 11 444 5 5 14 5 | c = head 1 8 2 468 5 4 1 | d = shin 4 6 5 2 416 2 54 | e = thigh 24 18 15 13 9 404 6 | f = upperarm 4 14 13 3 36 1 419 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2967 86.729 % Incorrectly Classified Instances 454 13.271 % Kappa statistic 0.8452 Mean absolute error 0.0379 Root mean squared error 0.1947 Relative absolute error 15.4828 % Root relative squared error 55.6468 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.888 0.015 0.908 0.888 0.898 0.936 chest 0.794 0.02 0.865 0.794 0.828 0.887 forearm 0.918 0.023 0.87 0.918 0.894 0.948 head 0.943 0.014 0.918 0.943 0.93 0.964 shin 0.824 0.025 0.848 0.824 0.836 0.9 thigh 0.853 0.026 0.846 0.853 0.849 0.913 upperarm 0.851 0.032 0.816 0.851 0.833 0.909 waist Weighted Avg. 0.867 0.022 0.867 0.867 0.867 0.923 === Confusion Matrix === a b c d e f g <-- classified as 434 6 3 4 6 33 3 | a = chest 10 385 19 10 23 14 24 | b = forearm 2 8 450 2 9 14 5 | c = head 2 7 7 461 2 4 6 | d = shin 4 10 11 8 403 5 48 | e = thigh 25 15 11 12 1 417 8 | f = upperarm 1 14 16 5 31 6 417 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2941 85.9942 % Incorrectly Classified Instances 479 14.0058 % Kappa statistic 0.8366 Mean absolute error 0.04 Root mean squared error 0.2 Relative absolute error 16.3402 % Root relative squared error 57.1667 % Total Number of Instances 3420 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.879 0.015 0.905 0.879 0.892 0.932 chest 0.771 0.027 0.826 0.771 0.797 0.872 forearm 0.904 0.029 0.841 0.904 0.871 0.938 head 0.963 0.011 0.935 0.963 0.949 0.976 shin 0.847 0.03 0.826 0.847 0.836 0.908 thigh 0.814 0.025 0.847 0.814 0.83 0.895 upperarm 0.84 0.027 0.839 0.84 0.84 0.907 waist Weighted Avg. 0.86 0.023 0.86 0.86 0.859 0.918 === Confusion Matrix === a b c d e f g <-- classified as 430 8 12 2 7 28 2 | a = chest 9 374 36 9 20 20 17 | b = forearm 2 17 443 4 8 10 6 | c = head 1 4 4 471 4 3 2 | d = shin 0 10 9 4 414 5 47 | e = thigh 32 23 13 12 6 398 5 | f = upperarm 1 17 10 2 42 6 411 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 4 FOLD: 0 Correctly Classified Instances 2973 86.9044 % Incorrectly Classified Instances 448 13.0956 % Kappa statistic 0.8472 Mean absolute error 0.0374 Root mean squared error 0.1934 Relative absolute error 15.2782 % Root relative squared error 55.2778 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.892 0.013 0.918 0.892 0.905 0.939 chest 0.807 0.03 0.818 0.807 0.812 0.888 forearm 0.9 0.023 0.868 0.9 0.884 0.939 head 0.943 0.009 0.948 0.943 0.946 0.967 shin 0.851 0.025 0.849 0.851 0.85 0.913 thigh 0.857 0.023 0.864 0.857 0.86 0.917 upperarm 0.834 0.031 0.819 0.834 0.827 0.902 waist Weighted Avg. 0.869 0.022 0.869 0.869 0.869 0.924 === Confusion Matrix === a b c d e f g <-- classified as 437 11 4 1 4 29 4 | a = chest 12 392 29 4 14 13 22 | b = forearm 4 23 441 7 2 10 3 | c = head 2 6 5 460 6 5 4 | d = shin 1 9 4 5 416 3 51 | e = thigh 20 19 12 7 6 419 6 | f = upperarm 0 19 13 1 42 6 408 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2968 86.7583 % Incorrectly Classified Instances 453 13.2417 % Kappa statistic 0.8455 Mean absolute error 0.0378 Root mean squared error 0.1945 Relative absolute error 15.4487 % Root relative squared error 55.5855 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.882 0.014 0.911 0.882 0.896 0.934 chest 0.833 0.024 0.854 0.833 0.844 0.905 forearm 0.9 0.026 0.851 0.9 0.875 0.937 head 0.951 0.01 0.943 0.951 0.947 0.971 shin 0.845 0.03 0.826 0.845 0.835 0.907 thigh 0.834 0.023 0.857 0.834 0.846 0.906 upperarm 0.828 0.028 0.832 0.828 0.83 0.9 waist Weighted Avg. 0.868 0.022 0.868 0.868 0.868 0.923 === Confusion Matrix === a b c d e f g <-- classified as 432 12 10 4 8 22 2 | a = chest 7 405 19 3 21 12 19 | b = forearm 1 16 440 2 3 22 5 | c = head 0 5 9 465 5 1 4 | d = shin 2 3 15 5 413 4 47 | e = thigh 29 21 13 9 4 408 5 | f = upperarm 3 12 11 5 46 7 405 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 3009 87.9567 % Incorrectly Classified Instances 412 12.0433 % Kappa statistic 0.8595 Mean absolute error 0.0344 Root mean squared error 0.1855 Relative absolute error 14.0505 % Root relative squared error 53.0104 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.906 0.012 0.925 0.906 0.915 0.947 chest 0.807 0.025 0.841 0.807 0.824 0.891 forearm 0.927 0.024 0.866 0.927 0.895 0.951 head 0.963 0.009 0.95 0.963 0.956 0.977 shin 0.842 0.019 0.88 0.842 0.861 0.912 thigh 0.83 0.019 0.879 0.83 0.854 0.906 upperarm 0.881 0.032 0.819 0.881 0.849 0.924 waist Weighted Avg. 0.88 0.02 0.88 0.88 0.879 0.93 === Confusion Matrix === a b c d e f g <-- classified as 444 7 8 3 2 22 4 | a = chest 6 392 33 7 15 8 25 | b = forearm 1 11 454 0 8 12 4 | c = head 0 6 1 471 2 4 5 | d = shin 2 14 6 5 411 1 49 | e = thigh 25 23 13 9 5 406 8 | f = upperarm 2 13 9 1 24 9 431 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 3000 87.6937 % Incorrectly Classified Instances 421 12.3063 % Kappa statistic 0.8564 Mean absolute error 0.0352 Root mean squared error 0.1875 Relative absolute error 14.3574 % Root relative squared error 53.5862 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.894 0.014 0.913 0.894 0.903 0.94 chest 0.835 0.02 0.871 0.835 0.853 0.907 forearm 0.896 0.023 0.869 0.896 0.882 0.937 head 0.935 0.009 0.944 0.935 0.939 0.963 shin 0.867 0.026 0.85 0.867 0.858 0.921 thigh 0.852 0.026 0.847 0.852 0.85 0.913 upperarm 0.859 0.026 0.847 0.859 0.853 0.916 waist Weighted Avg. 0.877 0.021 0.877 0.877 0.877 0.928 === Confusion Matrix === a b c d e f g <-- classified as 438 2 8 3 7 29 3 | a = chest 9 406 26 4 14 8 19 | b = forearm 1 12 439 7 6 21 4 | c = head 0 10 6 457 10 4 2 | d = shin 1 14 8 4 424 1 37 | e = thigh 28 12 8 7 6 416 11 | f = upperarm 3 10 10 2 32 12 420 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2999 87.6644 % Incorrectly Classified Instances 422 12.3356 % Kappa statistic 0.8561 Mean absolute error 0.0352 Root mean squared error 0.1877 Relative absolute error 14.3915 % Root relative squared error 53.6498 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.924 0.011 0.934 0.924 0.929 0.957 chest 0.805 0.022 0.859 0.805 0.831 0.891 forearm 0.908 0.021 0.879 0.908 0.894 0.944 head 0.951 0.011 0.936 0.951 0.943 0.97 shin 0.855 0.028 0.834 0.855 0.844 0.913 thigh 0.869 0.023 0.866 0.869 0.867 0.923 upperarm 0.824 0.029 0.828 0.824 0.826 0.898 waist Weighted Avg. 0.877 0.021 0.877 0.877 0.876 0.928 === Confusion Matrix === a b c d e f g <-- classified as 452 2 8 3 2 20 2 | a = chest 6 391 20 10 25 15 19 | b = forearm 3 9 445 3 9 18 3 | c = head 1 9 5 465 3 3 3 | d = shin 1 4 6 6 418 1 53 | e = thigh 19 20 11 8 2 425 4 | f = upperarm 2 20 11 2 42 9 403 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2997 87.606 % Incorrectly Classified Instances 424 12.394 % Kappa statistic 0.8554 Mean absolute error 0.0354 Root mean squared error 0.1882 Relative absolute error 14.4597 % Root relative squared error 53.7768 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.875 0.013 0.916 0.875 0.895 0.931 chest 0.856 0.028 0.834 0.856 0.845 0.914 forearm 0.88 0.018 0.892 0.88 0.886 0.931 head 0.963 0.009 0.948 0.963 0.955 0.977 shin 0.84 0.023 0.858 0.84 0.849 0.909 thigh 0.859 0.023 0.862 0.859 0.861 0.918 upperarm 0.859 0.03 0.825 0.859 0.842 0.914 waist Weighted Avg. 0.876 0.021 0.877 0.876 0.876 0.928 === Confusion Matrix === a b c d e f g <-- classified as 428 9 12 6 3 27 4 | a = chest 5 416 14 7 15 13 16 | b = forearm 7 19 431 3 12 15 3 | c = head 1 3 4 471 2 5 3 | d = shin 4 15 4 2 411 2 51 | e = thigh 22 19 9 4 3 420 12 | f = upperarm 0 18 9 4 33 5 420 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2965 86.6706 % Incorrectly Classified Instances 456 13.3294 % Kappa statistic 0.8445 Mean absolute error 0.0381 Root mean squared error 0.1952 Relative absolute error 15.551 % Root relative squared error 55.7692 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.865 0.012 0.926 0.865 0.894 0.927 chest 0.809 0.03 0.819 0.809 0.814 0.889 forearm 0.902 0.027 0.85 0.902 0.875 0.938 head 0.924 0.008 0.954 0.924 0.939 0.958 shin 0.859 0.021 0.873 0.859 0.866 0.919 thigh 0.847 0.03 0.823 0.847 0.835 0.908 upperarm 0.861 0.029 0.832 0.861 0.846 0.916 waist Weighted Avg. 0.867 0.022 0.868 0.867 0.867 0.922 === Confusion Matrix === a b c d e f g <-- classified as 423 10 11 0 2 37 6 | a = chest 9 393 24 9 15 18 18 | b = forearm 2 21 442 3 5 10 7 | c = head 1 9 7 452 9 7 4 | d = shin 1 10 10 2 420 7 39 | e = thigh 21 19 14 5 5 414 11 | f = upperarm 0 18 12 3 25 10 421 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2979 87.0798 % Incorrectly Classified Instances 442 12.9202 % Kappa statistic 0.8493 Mean absolute error 0.0369 Root mean squared error 0.1921 Relative absolute error 15.0736 % Root relative squared error 54.9064 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.885 0.015 0.906 0.885 0.896 0.935 chest 0.814 0.023 0.855 0.814 0.834 0.896 forearm 0.898 0.017 0.9 0.898 0.899 0.941 head 0.941 0.007 0.956 0.941 0.948 0.967 shin 0.859 0.023 0.864 0.859 0.862 0.918 thigh 0.843 0.035 0.798 0.843 0.82 0.904 upperarm 0.855 0.031 0.823 0.855 0.839 0.912 waist Weighted Avg. 0.871 0.022 0.872 0.871 0.871 0.925 === Confusion Matrix === a b c d e f g <-- classified as 433 2 3 4 4 38 5 | a = chest 11 395 14 2 16 29 18 | b = forearm 2 10 440 1 8 21 8 | c = head 0 7 6 460 4 6 6 | d = shin 2 10 6 3 420 2 46 | e = thigh 28 21 9 8 4 412 7 | f = upperarm 2 17 11 3 30 8 419 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2976 86.9921 % Incorrectly Classified Instances 445 13.0079 % Kappa statistic 0.8482 Mean absolute error 0.0372 Root mean squared error 0.1928 Relative absolute error 15.1759 % Root relative squared error 55.0925 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.896 0.016 0.905 0.896 0.9 0.94 chest 0.781 0.021 0.857 0.781 0.818 0.88 forearm 0.908 0.024 0.866 0.908 0.886 0.942 head 0.949 0.009 0.947 0.949 0.948 0.97 shin 0.84 0.023 0.86 0.84 0.85 0.909 thigh 0.843 0.025 0.849 0.843 0.846 0.909 upperarm 0.871 0.034 0.809 0.871 0.839 0.918 waist Weighted Avg. 0.87 0.022 0.87 0.87 0.87 0.924 === Confusion Matrix === a b c d e f g <-- classified as 438 4 5 6 5 28 3 | a = chest 5 379 32 6 15 20 28 | b = forearm 5 13 445 4 6 12 5 | c = head 1 5 4 464 4 7 4 | d = shin 2 11 8 5 411 3 49 | e = thigh 31 15 10 5 4 412 12 | f = upperarm 2 15 10 0 33 3 427 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2958 86.4912 % Incorrectly Classified Instances 462 13.5088 % Kappa statistic 0.8424 Mean absolute error 0.0386 Root mean squared error 0.1965 Relative absolute error 15.7603 % Root relative squared error 56.1431 % Total Number of Instances 3420 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.888 0.012 0.926 0.888 0.906 0.938 chest 0.8 0.026 0.836 0.8 0.818 0.887 forearm 0.91 0.023 0.869 0.91 0.889 0.944 head 0.945 0.008 0.954 0.945 0.95 0.969 shin 0.832 0.024 0.855 0.832 0.844 0.904 thigh 0.836 0.027 0.836 0.836 0.836 0.905 upperarm 0.843 0.039 0.785 0.843 0.813 0.902 waist Weighted Avg. 0.865 0.023 0.866 0.865 0.865 0.921 === Confusion Matrix === a b c d e f g <-- classified as 435 8 4 3 6 29 5 | a = chest 6 388 28 4 18 14 27 | b = forearm 3 15 446 3 3 16 4 | c = head 1 7 2 461 9 6 2 | d = shin 1 3 7 0 407 7 64 | e = thigh 21 23 12 9 4 409 11 | f = upperarm 3 20 14 3 29 8 412 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 5 FOLD: 0 Correctly Classified Instances 2956 86.4075 % Incorrectly Classified Instances 465 13.5925 % Kappa statistic 0.8414 Mean absolute error 0.0388 Root mean squared error 0.1971 Relative absolute error 15.858 % Root relative squared error 56.3169 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.876 0.014 0.913 0.876 0.894 0.931 chest 0.8 0.023 0.853 0.8 0.826 0.889 forearm 0.908 0.02 0.883 0.908 0.895 0.944 head 0.953 0.012 0.928 0.953 0.94 0.97 shin 0.811 0.025 0.844 0.811 0.828 0.893 thigh 0.845 0.027 0.839 0.845 0.842 0.909 upperarm 0.855 0.038 0.792 0.855 0.822 0.909 waist Weighted Avg. 0.864 0.023 0.865 0.864 0.864 0.921 === Confusion Matrix === a b c d e f g <-- classified as 429 8 6 6 1 33 7 | a = chest 14 389 19 8 15 17 24 | b = forearm 5 9 445 4 6 16 5 | c = head 0 7 5 466 4 7 0 | d = shin 1 11 8 3 396 2 67 | e = thigh 21 19 12 11 6 413 7 | f = upperarm 0 13 9 4 41 4 418 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2975 86.9629 % Incorrectly Classified Instances 446 13.0371 % Kappa statistic 0.8479 Mean absolute error 0.0372 Root mean squared error 0.193 Relative absolute error 15.21 % Root relative squared error 55.1543 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.886 0.017 0.897 0.886 0.891 0.934 chest 0.808 0.019 0.873 0.808 0.839 0.894 forearm 0.88 0.023 0.867 0.88 0.873 0.929 head 0.957 0.009 0.945 0.957 0.951 0.974 shin 0.82 0.018 0.883 0.82 0.85 0.901 thigh 0.869 0.03 0.828 0.869 0.848 0.92 upperarm 0.867 0.036 0.802 0.867 0.833 0.916 waist Weighted Avg. 0.87 0.022 0.871 0.87 0.87 0.924 === Confusion Matrix === a b c d e f g <-- classified as 434 3 7 1 7 34 4 | a = chest 12 392 21 7 12 18 23 | b = forearm 7 16 431 4 5 20 7 | c = head 1 4 4 468 6 3 3 | d = shin 5 11 8 2 401 4 58 | e = thigh 21 10 11 8 4 425 10 | f = upperarm 4 13 15 5 19 9 424 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2970 86.8167 % Incorrectly Classified Instances 451 13.1833 % Kappa statistic 0.8462 Mean absolute error 0.0377 Root mean squared error 0.1941 Relative absolute error 15.3805 % Root relative squared error 55.4626 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.9 0.015 0.907 0.9 0.904 0.942 chest 0.784 0.027 0.83 0.784 0.806 0.878 forearm 0.904 0.021 0.875 0.904 0.89 0.941 head 0.941 0.011 0.937 0.941 0.939 0.965 shin 0.865 0.027 0.844 0.865 0.855 0.919 thigh 0.861 0.026 0.845 0.861 0.853 0.917 upperarm 0.822 0.027 0.836 0.822 0.829 0.898 waist Weighted Avg. 0.868 0.022 0.868 0.868 0.868 0.923 === Confusion Matrix === a b c d e f g <-- classified as 441 7 5 6 5 26 0 | a = chest 11 380 32 6 17 16 23 | b = forearm 0 19 443 2 5 17 4 | c = head 3 5 5 460 9 6 1 | d = shin 3 6 7 3 423 1 46 | e = thigh 25 22 6 8 2 420 5 | f = upperarm 3 19 8 6 40 11 403 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2985 87.2552 % Incorrectly Classified Instances 436 12.7448 % Kappa statistic 0.8513 Mean absolute error 0.0364 Root mean squared error 0.1908 Relative absolute error 14.869 % Root relative squared error 54.5325 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.908 0.012 0.927 0.908 0.918 0.948 chest 0.792 0.026 0.835 0.792 0.813 0.883 forearm 0.873 0.022 0.87 0.873 0.872 0.926 head 0.949 0.009 0.949 0.949 0.949 0.97 shin 0.851 0.025 0.852 0.851 0.852 0.913 thigh 0.861 0.025 0.852 0.861 0.857 0.918 upperarm 0.873 0.031 0.825 0.873 0.848 0.921 waist Weighted Avg. 0.873 0.021 0.873 0.873 0.873 0.926 === Confusion Matrix === a b c d e f g <-- classified as 445 6 5 2 4 25 3 | a = chest 11 384 30 4 22 17 17 | b = forearm 3 21 428 4 12 16 6 | c = head 1 7 5 463 5 4 3 | d = shin 2 6 4 4 416 4 53 | e = thigh 17 18 12 8 4 421 9 | f = upperarm 1 18 8 3 25 7 428 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2994 87.5183 % Incorrectly Classified Instances 427 12.4817 % Kappa statistic 0.8544 Mean absolute error 0.0357 Root mean squared error 0.1888 Relative absolute error 14.562 % Root relative squared error 53.9667 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.89 0.017 0.897 0.89 0.893 0.936 chest 0.825 0.022 0.862 0.825 0.843 0.902 forearm 0.91 0.02 0.885 0.91 0.897 0.945 head 0.949 0.011 0.935 0.949 0.942 0.969 shin 0.879 0.023 0.865 0.879 0.872 0.928 thigh 0.818 0.022 0.86 0.818 0.839 0.898 upperarm 0.855 0.031 0.821 0.855 0.838 0.912 waist Weighted Avg. 0.875 0.021 0.875 0.875 0.875 0.927 === Confusion Matrix === a b c d e f g <-- classified as 436 2 9 4 9 25 5 | a = chest 12 401 16 4 16 10 27 | b = forearm 3 15 446 2 4 15 5 | c = head 0 7 6 463 3 6 3 | d = shin 1 3 5 6 430 1 43 | e = thigh 30 22 11 14 4 400 8 | f = upperarm 4 15 11 2 31 8 418 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2961 86.5536 % Incorrectly Classified Instances 460 13.4464 % Kappa statistic 0.8431 Mean absolute error 0.0384 Root mean squared error 0.196 Relative absolute error 15.6874 % Root relative squared error 56.0133 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.89 0.016 0.902 0.89 0.896 0.937 chest 0.807 0.02 0.869 0.807 0.837 0.893 forearm 0.902 0.023 0.87 0.902 0.886 0.94 head 0.935 0.014 0.916 0.935 0.925 0.96 shin 0.82 0.026 0.839 0.82 0.829 0.897 thigh 0.857 0.025 0.85 0.857 0.853 0.916 upperarm 0.849 0.032 0.814 0.849 0.831 0.908 waist Weighted Avg. 0.866 0.022 0.866 0.866 0.865 0.922 === Confusion Matrix === a b c d e f g <-- classified as 435 6 6 5 6 31 0 | a = chest 7 392 21 6 18 14 28 | b = forearm 3 9 442 8 6 16 6 | c = head 1 9 5 457 10 5 2 | d = shin 4 12 10 7 401 2 53 | e = thigh 29 7 11 11 6 419 6 | f = upperarm 3 16 13 5 31 6 415 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2983 87.1967 % Incorrectly Classified Instances 438 12.8033 % Kappa statistic 0.8506 Mean absolute error 0.0366 Root mean squared error 0.1913 Relative absolute error 14.9372 % Root relative squared error 54.6574 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.855 0.013 0.919 0.855 0.886 0.921 chest 0.827 0.024 0.852 0.827 0.839 0.902 forearm 0.904 0.026 0.852 0.904 0.877 0.939 head 0.959 0.007 0.959 0.959 0.959 0.976 shin 0.847 0.021 0.87 0.847 0.858 0.913 thigh 0.847 0.026 0.847 0.847 0.847 0.911 upperarm 0.865 0.033 0.813 0.865 0.838 0.916 waist Weighted Avg. 0.872 0.021 0.873 0.872 0.872 0.925 === Confusion Matrix === a b c d e f g <-- classified as 418 11 11 6 1 38 4 | a = chest 5 402 28 4 17 9 21 | b = forearm 4 15 443 3 7 16 2 | c = head 0 6 5 469 2 2 5 | d = shin 2 5 9 0 414 4 55 | e = thigh 24 20 14 5 2 414 10 | f = upperarm 2 13 10 2 33 6 423 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 3028 88.5121 % Incorrectly Classified Instances 393 11.4879 % Kappa statistic 0.866 Mean absolute error 0.0328 Root mean squared error 0.1812 Relative absolute error 13.4025 % Root relative squared error 51.7736 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.926 0.01 0.938 0.926 0.932 0.958 chest 0.837 0.025 0.85 0.837 0.844 0.906 forearm 0.918 0.021 0.879 0.918 0.898 0.949 head 0.951 0.012 0.932 0.951 0.941 0.97 shin 0.847 0.021 0.872 0.847 0.859 0.913 thigh 0.857 0.021 0.869 0.857 0.863 0.918 upperarm 0.859 0.024 0.855 0.859 0.857 0.917 waist Weighted Avg. 0.885 0.019 0.885 0.885 0.885 0.933 === Confusion Matrix === a b c d e f g <-- classified as 453 6 7 2 0 18 3 | a = chest 4 407 17 7 15 13 23 | b = forearm 4 15 450 4 3 14 0 | c = head 1 5 6 465 2 8 2 | d = shin 1 12 9 11 414 3 39 | e = thigh 18 24 11 8 5 419 4 | f = upperarm 2 10 12 2 36 7 420 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2984 87.226 % Incorrectly Classified Instances 437 12.774 % Kappa statistic 0.851 Mean absolute error 0.0365 Root mean squared error 0.191 Relative absolute error 14.9031 % Root relative squared error 54.595 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.888 0.015 0.906 0.888 0.897 0.936 chest 0.784 0.019 0.872 0.784 0.826 0.882 forearm 0.922 0.025 0.863 0.922 0.892 0.949 head 0.949 0.012 0.932 0.949 0.94 0.969 shin 0.857 0.024 0.859 0.857 0.858 0.917 thigh 0.838 0.028 0.835 0.838 0.837 0.905 upperarm 0.867 0.027 0.841 0.867 0.854 0.92 waist Weighted Avg. 0.872 0.021 0.872 0.872 0.872 0.925 === Confusion Matrix === a b c d e f g <-- classified as 434 3 8 4 4 35 1 | a = chest 8 381 28 9 20 21 19 | b = forearm 2 11 452 2 6 12 5 | c = head 0 4 4 464 7 2 8 | d = shin 1 10 6 2 419 7 44 | e = thigh 31 18 12 11 4 410 3 | f = upperarm 3 10 14 6 28 4 424 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2993 87.5146 % Incorrectly Classified Instances 427 12.4854 % Kappa statistic 0.8543 Mean absolute error 0.0357 Root mean squared error 0.1889 Relative absolute error 14.5663 % Root relative squared error 53.9746 % Total Number of Instances 3420 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.904 0.014 0.913 0.904 0.909 0.945 chest 0.815 0.026 0.841 0.815 0.828 0.895 forearm 0.912 0.022 0.873 0.912 0.892 0.945 head 0.945 0.01 0.941 0.945 0.943 0.967 shin 0.879 0.026 0.851 0.879 0.865 0.927 thigh 0.834 0.022 0.864 0.834 0.849 0.906 upperarm 0.836 0.026 0.842 0.836 0.839 0.905 waist Weighted Avg. 0.875 0.021 0.875 0.875 0.875 0.927 === Confusion Matrix === a b c d e f g <-- classified as 442 8 10 4 2 18 5 | a = chest 8 396 24 6 15 16 21 | b = forearm 3 17 446 3 5 13 2 | c = head 0 10 3 462 5 5 4 | d = shin 1 8 7 6 430 4 33 | e = thigh 27 16 13 8 5 408 12 | f = upperarm 3 16 8 2 43 8 409 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 6 FOLD: 0 Correctly Classified Instances 3016 88.1614 % Incorrectly Classified Instances 405 11.8386 % Kappa statistic 0.8619 Mean absolute error 0.0338 Root mean squared error 0.1839 Relative absolute error 13.8118 % Root relative squared error 52.5581 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.902 0.013 0.921 0.902 0.911 0.945 chest 0.819 0.024 0.848 0.819 0.833 0.897 forearm 0.908 0.019 0.888 0.908 0.898 0.945 head 0.947 0.006 0.965 0.947 0.956 0.971 shin 0.836 0.024 0.856 0.836 0.846 0.906 thigh 0.869 0.025 0.855 0.869 0.862 0.922 upperarm 0.89 0.028 0.841 0.89 0.865 0.931 waist Weighted Avg. 0.882 0.02 0.882 0.882 0.882 0.931 === Confusion Matrix === a b c d e f g <-- classified as 442 9 7 4 5 23 0 | a = chest 10 397 20 3 19 21 15 | b = forearm 2 17 445 1 8 11 6 | c = head 1 2 3 463 8 7 5 | d = shin 3 9 12 1 409 5 50 | e = thigh 21 20 7 6 4 425 6 | f = upperarm 1 14 7 2 25 5 435 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2971 86.846 % Incorrectly Classified Instances 450 13.154 % Kappa statistic 0.8465 Mean absolute error 0.0376 Root mean squared error 0.1939 Relative absolute error 15.3464 % Root relative squared error 55.4011 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.904 0.01 0.937 0.904 0.92 0.947 chest 0.819 0.024 0.85 0.819 0.834 0.897 forearm 0.882 0.022 0.869 0.882 0.875 0.93 head 0.957 0.011 0.936 0.957 0.946 0.973 shin 0.843 0.029 0.831 0.843 0.837 0.907 thigh 0.865 0.024 0.858 0.865 0.862 0.921 upperarm 0.81 0.034 0.8 0.81 0.805 0.888 waist Weighted Avg. 0.868 0.022 0.869 0.868 0.868 0.923 === Confusion Matrix === a b c d e f g <-- classified as 443 4 7 2 7 24 3 | a = chest 8 397 27 8 14 6 25 | b = forearm 3 19 432 5 2 23 6 | c = head 0 4 4 468 5 4 4 | d = shin 1 6 6 4 412 4 56 | e = thigh 18 16 11 9 7 423 5 | f = upperarm 0 21 10 4 49 9 396 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2966 86.6998 % Incorrectly Classified Instances 455 13.3002 % Kappa statistic 0.8448 Mean absolute error 0.038 Root mean squared error 0.1949 Relative absolute error 15.5169 % Root relative squared error 55.708 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.894 0.016 0.905 0.894 0.899 0.939 chest 0.782 0.019 0.872 0.782 0.824 0.881 forearm 0.906 0.026 0.852 0.906 0.878 0.94 head 0.951 0.012 0.928 0.951 0.939 0.969 shin 0.828 0.024 0.851 0.828 0.839 0.902 thigh 0.863 0.031 0.821 0.863 0.841 0.916 upperarm 0.845 0.026 0.843 0.845 0.844 0.909 waist Weighted Avg. 0.867 0.022 0.867 0.867 0.867 0.922 === Confusion Matrix === a b c d e f g <-- classified as 438 2 7 4 2 35 2 | a = chest 9 380 28 10 17 27 15 | b = forearm 3 13 444 4 8 13 5 | c = head 1 7 5 465 8 2 1 | d = shin 3 11 11 6 404 6 47 | e = thigh 29 10 9 9 3 422 7 | f = upperarm 1 13 17 3 33 9 413 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2986 87.2844 % Incorrectly Classified Instances 435 12.7156 % Kappa statistic 0.8516 Mean absolute error 0.0363 Root mean squared error 0.1906 Relative absolute error 14.8349 % Root relative squared error 54.4699 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.885 0.011 0.933 0.885 0.909 0.937 chest 0.796 0.022 0.854 0.796 0.824 0.887 forearm 0.908 0.021 0.879 0.908 0.894 0.944 head 0.951 0.009 0.945 0.951 0.948 0.971 shin 0.857 0.027 0.841 0.857 0.849 0.915 thigh 0.867 0.026 0.848 0.867 0.857 0.921 upperarm 0.845 0.032 0.813 0.845 0.828 0.906 waist Weighted Avg. 0.873 0.021 0.874 0.873 0.873 0.926 === Confusion Matrix === a b c d e f g <-- classified as 433 5 12 4 6 26 3 | a = chest 5 387 22 12 17 18 25 | b = forearm 3 16 445 0 6 17 3 | c = head 1 8 5 465 2 5 3 | d = shin 0 11 3 1 419 3 52 | e = thigh 20 15 9 7 5 424 9 | f = upperarm 2 11 10 3 43 7 413 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2966 86.6998 % Incorrectly Classified Instances 455 13.3002 % Kappa statistic 0.8448 Mean absolute error 0.038 Root mean squared error 0.1949 Relative absolute error 15.5169 % Root relative squared error 55.708 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.869 0.013 0.918 0.869 0.893 0.928 chest 0.8 0.023 0.851 0.8 0.825 0.889 forearm 0.9 0.025 0.86 0.9 0.879 0.938 head 0.955 0.011 0.938 0.955 0.946 0.972 shin 0.838 0.023 0.86 0.838 0.849 0.908 thigh 0.836 0.031 0.818 0.836 0.827 0.903 upperarm 0.869 0.03 0.828 0.869 0.848 0.92 waist Weighted Avg. 0.867 0.022 0.868 0.867 0.867 0.922 === Confusion Matrix === a b c d e f g <-- classified as 425 5 8 6 7 34 4 | a = chest 7 389 29 6 19 19 17 | b = forearm 3 16 441 1 6 19 4 | c = head 0 6 4 467 5 4 3 | d = shin 3 10 5 9 410 6 46 | e = thigh 24 18 16 4 4 409 14 | f = upperarm 1 13 10 5 26 9 425 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2964 86.6413 % Incorrectly Classified Instances 457 13.3587 % Kappa statistic 0.8441 Mean absolute error 0.0382 Root mean squared error 0.1954 Relative absolute error 15.5851 % Root relative squared error 55.8303 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.877 0.012 0.923 0.877 0.899 0.933 chest 0.821 0.02 0.871 0.821 0.845 0.9 forearm 0.914 0.031 0.833 0.914 0.872 0.942 head 0.953 0.012 0.928 0.953 0.94 0.97 shin 0.836 0.026 0.843 0.836 0.84 0.905 thigh 0.845 0.023 0.86 0.845 0.852 0.911 upperarm 0.818 0.032 0.811 0.818 0.815 0.893 waist Weighted Avg. 0.866 0.022 0.867 0.866 0.866 0.922 === Confusion Matrix === a b c d e f g <-- classified as 429 4 12 8 5 28 3 | a = chest 5 399 26 2 18 10 26 | b = forearm 1 11 448 3 5 17 5 | c = head 1 4 9 466 5 3 1 | d = shin 1 5 12 4 409 1 57 | e = thigh 26 17 15 13 4 413 1 | f = upperarm 2 18 16 6 39 8 400 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2984 87.226 % Incorrectly Classified Instances 437 12.774 % Kappa statistic 0.851 Mean absolute error 0.0365 Root mean squared error 0.191 Relative absolute error 14.9031 % Root relative squared error 54.595 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.906 0.017 0.9 0.906 0.903 0.945 chest 0.784 0.018 0.876 0.784 0.827 0.883 forearm 0.924 0.024 0.866 0.924 0.894 0.95 head 0.961 0.012 0.933 0.961 0.947 0.975 shin 0.865 0.024 0.86 0.865 0.862 0.921 thigh 0.828 0.024 0.852 0.828 0.84 0.902 upperarm 0.837 0.031 0.818 0.837 0.827 0.903 waist Weighted Avg. 0.872 0.021 0.872 0.872 0.872 0.925 === Confusion Matrix === a b c d e f g <-- classified as 443 5 6 4 1 23 7 | a = chest 8 381 27 7 17 20 26 | b = forearm 1 11 453 6 5 13 1 | c = head 0 4 3 470 7 2 3 | d = shin 3 11 5 2 423 4 41 | e = thigh 33 8 14 11 5 404 13 | f = upperarm 4 15 15 4 34 8 410 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2979 87.0798 % Incorrectly Classified Instances 442 12.9202 % Kappa statistic 0.8493 Mean absolute error 0.0369 Root mean squared error 0.1921 Relative absolute error 15.0736 % Root relative squared error 54.9064 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.888 0.013 0.921 0.888 0.904 0.937 chest 0.79 0.023 0.851 0.79 0.82 0.884 forearm 0.894 0.024 0.86 0.894 0.877 0.935 head 0.947 0.011 0.937 0.947 0.942 0.968 shin 0.859 0.022 0.868 0.859 0.863 0.919 thigh 0.857 0.027 0.843 0.857 0.85 0.915 upperarm 0.861 0.032 0.818 0.861 0.839 0.915 waist Weighted Avg. 0.871 0.022 0.871 0.871 0.871 0.925 === Confusion Matrix === a b c d e f g <-- classified as 434 7 8 7 3 27 3 | a = chest 11 384 26 7 15 16 27 | b = forearm 4 17 437 5 7 16 3 | c = head 0 4 5 463 7 5 5 | d = shin 3 6 7 5 420 1 47 | e = thigh 19 19 15 6 2 419 9 | f = upperarm 0 14 10 1 30 13 422 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2965 86.6706 % Incorrectly Classified Instances 456 13.3294 % Kappa statistic 0.8445 Mean absolute error 0.0381 Root mean squared error 0.1952 Relative absolute error 15.551 % Root relative squared error 55.7692 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.878 0.012 0.927 0.878 0.901 0.933 chest 0.794 0.022 0.854 0.794 0.823 0.886 forearm 0.918 0.023 0.872 0.918 0.895 0.948 head 0.932 0.013 0.921 0.932 0.927 0.96 shin 0.859 0.029 0.832 0.859 0.845 0.915 thigh 0.826 0.025 0.849 0.826 0.837 0.901 upperarm 0.859 0.032 0.817 0.859 0.837 0.913 waist Weighted Avg. 0.867 0.022 0.867 0.867 0.867 0.922 === Confusion Matrix === a b c d e f g <-- classified as 430 7 10 3 3 34 3 | a = chest 6 386 24 9 24 13 24 | b = forearm 4 8 450 5 6 8 9 | c = head 0 12 4 455 5 6 6 | d = shin 0 9 9 2 420 3 46 | e = thigh 23 18 11 16 11 404 6 | f = upperarm 1 12 8 4 36 8 420 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2993 87.5146 % Incorrectly Classified Instances 427 12.4854 % Kappa statistic 0.8543 Mean absolute error 0.0357 Root mean squared error 0.1889 Relative absolute error 14.5663 % Root relative squared error 53.9746 % Total Number of Instances 3420 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.888 0.013 0.92 0.888 0.903 0.937 chest 0.823 0.026 0.838 0.823 0.83 0.898 forearm 0.908 0.027 0.848 0.908 0.877 0.94 head 0.951 0.012 0.932 0.951 0.941 0.97 shin 0.851 0.02 0.878 0.851 0.864 0.915 thigh 0.832 0.023 0.859 0.832 0.845 0.905 upperarm 0.873 0.025 0.854 0.873 0.863 0.924 waist Weighted Avg. 0.875 0.021 0.875 0.875 0.875 0.927 === Confusion Matrix === a b c d e f g <-- classified as 435 7 10 7 4 26 1 | a = chest 7 399 28 5 16 11 19 | b = forearm 5 14 445 3 4 16 3 | c = head 1 7 4 464 4 7 1 | d = shin 1 7 13 6 416 4 42 | e = thigh 21 29 13 10 2 407 7 | f = upperarm 3 13 12 3 28 3 427 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 7 FOLD: 0 Correctly Classified Instances 3015 88.1321 % Incorrectly Classified Instances 406 11.8679 % Kappa statistic 0.8615 Mean absolute error 0.0339 Root mean squared error 0.1841 Relative absolute error 13.8459 % Root relative squared error 52.6229 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.9 0.014 0.917 0.9 0.908 0.943 chest 0.844 0.021 0.867 0.844 0.855 0.911 forearm 0.918 0.019 0.889 0.918 0.904 0.95 head 0.947 0.011 0.937 0.947 0.942 0.968 shin 0.849 0.024 0.857 0.849 0.853 0.913 thigh 0.859 0.022 0.868 0.859 0.863 0.919 upperarm 0.853 0.028 0.834 0.853 0.843 0.912 waist Weighted Avg. 0.881 0.02 0.881 0.881 0.881 0.931 === Confusion Matrix === a b c d e f g <-- classified as 440 3 11 7 4 23 1 | a = chest 9 410 15 4 12 15 21 | b = forearm 3 15 450 2 5 11 4 | c = head 1 9 3 463 5 4 4 | d = shin 2 6 9 5 415 3 49 | e = thigh 25 14 11 11 4 420 4 | f = upperarm 0 16 7 2 39 8 417 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2971 86.846 % Incorrectly Classified Instances 450 13.154 % Kappa statistic 0.8465 Mean absolute error 0.0376 Root mean squared error 0.1939 Relative absolute error 15.3464 % Root relative squared error 55.4011 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.9 0.013 0.921 0.9 0.91 0.943 chest 0.79 0.024 0.844 0.79 0.816 0.883 forearm 0.894 0.026 0.852 0.894 0.873 0.934 head 0.941 0.009 0.945 0.941 0.943 0.966 shin 0.867 0.028 0.84 0.867 0.853 0.92 thigh 0.849 0.027 0.84 0.849 0.844 0.911 upperarm 0.838 0.027 0.84 0.838 0.839 0.906 waist Weighted Avg. 0.868 0.022 0.869 0.868 0.868 0.923 === Confusion Matrix === a b c d e f g <-- classified as 440 11 6 3 2 23 4 | a = chest 7 384 32 7 25 14 17 | b = forearm 3 14 438 7 3 20 5 | c = head 0 8 7 460 5 6 3 | d = shin 1 7 9 1 424 3 44 | e = thigh 27 18 10 5 9 415 5 | f = upperarm 0 13 12 4 37 13 410 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2980 87.109 % Incorrectly Classified Instances 441 12.891 % Kappa statistic 0.8496 Mean absolute error 0.0368 Root mean squared error 0.1919 Relative absolute error 15.0395 % Root relative squared error 54.8443 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.9 0.013 0.919 0.9 0.909 0.943 chest 0.79 0.023 0.85 0.79 0.819 0.883 forearm 0.908 0.031 0.832 0.908 0.868 0.939 head 0.947 0.012 0.928 0.947 0.937 0.967 shin 0.855 0.02 0.878 0.855 0.866 0.918 thigh 0.843 0.024 0.855 0.843 0.849 0.909 upperarm 0.855 0.027 0.839 0.855 0.847 0.914 waist Weighted Avg. 0.871 0.021 0.871 0.871 0.871 0.925 === Confusion Matrix === a b c d e f g <-- classified as 440 5 11 4 3 24 2 | a = chest 10 384 33 8 12 20 19 | b = forearm 3 17 445 4 8 9 4 | c = head 1 2 8 463 4 6 5 | d = shin 0 7 9 4 418 5 46 | e = thigh 20 18 18 13 4 412 4 | f = upperarm 5 19 11 3 27 6 418 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2988 87.3429 % Incorrectly Classified Instances 433 12.6571 % Kappa statistic 0.8523 Mean absolute error 0.0362 Root mean squared error 0.1902 Relative absolute error 14.7667 % Root relative squared error 54.3445 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.888 0.016 0.904 0.888 0.896 0.936 chest 0.821 0.023 0.854 0.821 0.837 0.899 forearm 0.894 0.022 0.873 0.894 0.883 0.936 head 0.957 0.01 0.942 0.957 0.949 0.974 shin 0.84 0.025 0.849 0.84 0.845 0.908 thigh 0.855 0.021 0.873 0.855 0.864 0.917 upperarm 0.859 0.031 0.82 0.859 0.839 0.914 waist Weighted Avg. 0.873 0.021 0.874 0.873 0.873 0.926 === Confusion Matrix === a b c d e f g <-- classified as 434 8 9 4 5 24 5 | a = chest 10 399 22 7 16 7 25 | b = forearm 4 19 438 2 9 14 4 | c = head 2 4 7 468 1 4 3 | d = shin 5 11 8 3 411 2 49 | e = thigh 23 18 6 10 8 418 6 | f = upperarm 2 8 12 3 34 10 420 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2991 87.4306 % Incorrectly Classified Instances 430 12.5694 % Kappa statistic 0.8534 Mean absolute error 0.0359 Root mean squared error 0.1895 Relative absolute error 14.6643 % Root relative squared error 54.156 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.898 0.014 0.913 0.898 0.905 0.942 chest 0.796 0.024 0.849 0.796 0.822 0.886 forearm 0.904 0.021 0.879 0.904 0.891 0.942 head 0.951 0.013 0.924 0.951 0.938 0.969 shin 0.869 0.026 0.848 0.869 0.859 0.922 thigh 0.847 0.025 0.852 0.847 0.849 0.911 upperarm 0.855 0.025 0.853 0.855 0.854 0.915 waist Weighted Avg. 0.874 0.021 0.874 0.874 0.874 0.927 === Confusion Matrix === a b c d e f g <-- classified as 439 5 8 8 4 24 1 | a = chest 9 387 21 5 24 16 24 | b = forearm 6 17 443 2 2 15 5 | c = head 0 4 5 465 9 4 2 | d = shin 3 11 6 7 425 3 34 | e = thigh 22 21 10 11 5 414 6 | f = upperarm 2 11 11 5 32 10 418 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2981 87.1383 % Incorrectly Classified Instances 440 12.8617 % Kappa statistic 0.8499 Mean absolute error 0.0367 Root mean squared error 0.1917 Relative absolute error 15.0054 % Root relative squared error 54.7821 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.876 0.011 0.931 0.876 0.902 0.932 chest 0.786 0.021 0.862 0.786 0.822 0.883 forearm 0.904 0.031 0.831 0.904 0.866 0.937 head 0.965 0.013 0.924 0.965 0.944 0.976 shin 0.834 0.021 0.868 0.834 0.851 0.906 thigh 0.859 0.024 0.859 0.859 0.859 0.918 upperarm 0.875 0.03 0.831 0.875 0.853 0.923 waist Weighted Avg. 0.871 0.021 0.872 0.871 0.871 0.925 === Confusion Matrix === a b c d e f g <-- classified as 429 4 10 8 6 27 6 | a = chest 8 382 33 8 19 10 26 | b = forearm 4 8 443 3 11 18 3 | c = head 0 7 2 472 2 5 1 | d = shin 2 6 16 10 407 3 44 | e = thigh 17 21 14 10 0 420 7 | f = upperarm 1 15 15 0 24 6 428 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2962 86.5829 % Incorrectly Classified Instances 459 13.4171 % Kappa statistic 0.8435 Mean absolute error 0.0383 Root mean squared error 0.1958 Relative absolute error 15.6533 % Root relative squared error 55.9524 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.898 0.009 0.942 0.898 0.92 0.944 chest 0.8 0.026 0.838 0.8 0.819 0.887 forearm 0.908 0.029 0.84 0.908 0.873 0.94 head 0.928 0.007 0.958 0.928 0.943 0.961 shin 0.861 0.025 0.851 0.861 0.856 0.918 thigh 0.826 0.03 0.821 0.826 0.823 0.898 upperarm 0.838 0.031 0.82 0.838 0.829 0.904 waist Weighted Avg. 0.866 0.022 0.867 0.866 0.866 0.922 === Confusion Matrix === a b c d e f g <-- classified as 440 5 8 0 4 31 2 | a = chest 1 389 31 5 20 21 19 | b = forearm 2 11 445 3 5 17 7 | c = head 2 11 6 454 8 6 2 | d = shin 3 4 4 2 421 5 50 | e = thigh 18 22 22 7 6 403 10 | f = upperarm 1 22 14 3 31 8 410 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2973 86.9044 % Incorrectly Classified Instances 448 13.0956 % Kappa statistic 0.8472 Mean absolute error 0.0374 Root mean squared error 0.1934 Relative absolute error 15.2782 % Root relative squared error 55.2779 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.869 0.013 0.916 0.869 0.892 0.928 chest 0.819 0.018 0.882 0.819 0.849 0.9 forearm 0.902 0.025 0.857 0.902 0.879 0.938 head 0.951 0.013 0.922 0.951 0.936 0.969 shin 0.84 0.022 0.863 0.84 0.852 0.909 thigh 0.871 0.032 0.819 0.871 0.844 0.92 upperarm 0.831 0.029 0.829 0.831 0.83 0.901 waist Weighted Avg. 0.869 0.022 0.87 0.869 0.869 0.924 === Confusion Matrix === a b c d e f g <-- classified as 426 4 13 0 6 39 2 | a = chest 8 397 24 9 11 14 22 | b = forearm 3 12 442 5 6 19 3 | c = head 0 4 6 464 5 8 1 | d = shin 0 11 5 9 411 4 49 | e = thigh 26 10 10 8 2 426 7 | f = upperarm 2 12 16 8 35 10 407 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2977 87.0213 % Incorrectly Classified Instances 444 12.9787 % Kappa statistic 0.8486 Mean absolute error 0.0371 Root mean squared error 0.1926 Relative absolute error 15.1418 % Root relative squared error 55.0305 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.884 0.011 0.929 0.884 0.906 0.936 chest 0.779 0.021 0.861 0.779 0.818 0.879 forearm 0.918 0.024 0.867 0.918 0.892 0.947 head 0.949 0.009 0.947 0.949 0.948 0.97 shin 0.851 0.028 0.837 0.851 0.844 0.912 thigh 0.851 0.028 0.835 0.851 0.843 0.911 upperarm 0.859 0.031 0.821 0.859 0.839 0.914 waist Weighted Avg. 0.87 0.022 0.871 0.87 0.87 0.924 === Confusion Matrix === a b c d e f g <-- classified as 433 4 8 4 2 37 2 | a = chest 2 378 29 7 26 16 27 | b = forearm 1 15 450 2 4 16 2 | c = head 0 8 8 463 7 1 1 | d = shin 0 10 6 3 416 5 49 | e = thigh 28 11 11 8 4 416 11 | f = upperarm 2 13 7 2 38 7 421 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2967 86.7544 % Incorrectly Classified Instances 453 13.2456 % Kappa statistic 0.8455 Mean absolute error 0.0378 Root mean squared error 0.1945 Relative absolute error 15.4532 % Root relative squared error 55.5936 % Total Number of Instances 3420 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.882 0.013 0.917 0.882 0.899 0.934 chest 0.81 0.022 0.86 0.81 0.834 0.894 forearm 0.92 0.024 0.864 0.92 0.891 0.948 head 0.949 0.012 0.932 0.949 0.94 0.969 shin 0.838 0.026 0.845 0.838 0.842 0.906 thigh 0.83 0.027 0.837 0.83 0.834 0.902 upperarm 0.843 0.031 0.819 0.843 0.831 0.906 waist Weighted Avg. 0.868 0.022 0.868 0.868 0.867 0.923 === Confusion Matrix === a b c d e f g <-- classified as 432 6 7 5 4 30 6 | a = chest 7 393 21 11 13 18 22 | b = forearm 4 10 450 4 7 13 1 | c = head 0 7 6 464 4 4 4 | d = shin 0 12 7 3 410 6 51 | e = thigh 26 21 16 8 5 406 7 | f = upperarm 2 8 14 3 42 8 412 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 8 FOLD: 0 Correctly Classified Instances 3008 87.9275 % Incorrectly Classified Instances 413 12.0725 % Kappa statistic 0.8592 Mean absolute error 0.0345 Root mean squared error 0.1857 Relative absolute error 14.0846 % Root relative squared error 53.0747 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.89 0.012 0.928 0.89 0.908 0.939 chest 0.835 0.02 0.871 0.835 0.853 0.907 forearm 0.912 0.019 0.889 0.912 0.9 0.947 head 0.943 0.006 0.96 0.943 0.951 0.968 shin 0.849 0.028 0.835 0.849 0.842 0.91 thigh 0.873 0.023 0.866 0.873 0.869 0.925 upperarm 0.853 0.033 0.813 0.853 0.833 0.91 waist Weighted Avg. 0.879 0.02 0.88 0.879 0.88 0.93 === Confusion Matrix === a b c d e f g <-- classified as 436 4 6 4 6 26 8 | a = chest 6 405 18 5 18 12 21 | b = forearm 4 16 447 0 7 13 3 | c = head 0 4 4 461 6 7 7 | d = shin 2 3 11 1 415 4 53 | e = thigh 21 16 9 6 6 426 4 | f = upperarm 1 17 8 3 39 4 418 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2957 86.4367 % Incorrectly Classified Instances 464 13.5633 % Kappa statistic 0.8418 Mean absolute error 0.0388 Root mean squared error 0.1969 Relative absolute error 15.8239 % Root relative squared error 56.2563 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.886 0.01 0.935 0.886 0.91 0.938 chest 0.796 0.025 0.839 0.796 0.817 0.885 forearm 0.908 0.025 0.859 0.908 0.883 0.942 head 0.935 0.009 0.946 0.935 0.94 0.963 shin 0.838 0.026 0.843 0.838 0.841 0.906 thigh 0.859 0.031 0.824 0.859 0.841 0.914 upperarm 0.829 0.032 0.81 0.829 0.819 0.898 waist Weighted Avg. 0.864 0.023 0.865 0.864 0.864 0.921 === Confusion Matrix === a b c d e f g <-- classified as 434 5 7 5 5 31 3 | a = chest 5 386 25 3 22 22 22 | b = forearm 2 13 445 3 5 17 5 | c = head 0 6 7 457 7 9 3 | d = shin 1 14 8 5 409 2 49 | e = thigh 21 20 7 5 3 420 13 | f = upperarm 1 16 19 5 34 9 406 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2986 87.2844 % Incorrectly Classified Instances 435 12.7156 % Kappa statistic 0.8517 Mean absolute error 0.0363 Root mean squared error 0.1906 Relative absolute error 14.8349 % Root relative squared error 54.4699 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.896 0.011 0.93 0.896 0.913 0.942 chest 0.827 0.024 0.853 0.827 0.84 0.902 forearm 0.886 0.028 0.843 0.886 0.864 0.929 head 0.967 0.012 0.931 0.967 0.949 0.978 shin 0.834 0.021 0.866 0.834 0.85 0.906 thigh 0.843 0.022 0.866 0.843 0.854 0.91 upperarm 0.857 0.031 0.823 0.857 0.84 0.913 waist Weighted Avg. 0.873 0.021 0.873 0.873 0.873 0.926 === Confusion Matrix === a b c d e f g <-- classified as 439 8 10 5 3 20 5 | a = chest 4 401 25 7 12 14 22 | b = forearm 3 20 434 6 7 19 1 | c = head 0 4 8 473 0 2 2 | d = shin 1 9 11 5 408 4 51 | e = thigh 24 15 15 10 4 412 9 | f = upperarm 1 13 12 2 37 5 419 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2987 87.3137 % Incorrectly Classified Instances 434 12.6863 % Kappa statistic 0.852 Mean absolute error 0.0362 Root mean squared error 0.1904 Relative absolute error 14.8008 % Root relative squared error 54.4073 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.877 0.014 0.915 0.877 0.896 0.932 chest 0.823 0.024 0.853 0.823 0.838 0.9 forearm 0.878 0.017 0.896 0.878 0.887 0.93 head 0.951 0.008 0.953 0.951 0.952 0.972 shin 0.865 0.025 0.853 0.865 0.859 0.92 thigh 0.857 0.027 0.843 0.857 0.85 0.915 upperarm 0.861 0.034 0.807 0.861 0.833 0.913 waist Weighted Avg. 0.873 0.021 0.874 0.873 0.873 0.926 === Confusion Matrix === a b c d e f g <-- classified as 429 3 7 1 5 36 8 | a = chest 9 400 13 4 20 13 27 | b = forearm 4 20 430 6 9 12 9 | c = head 1 6 2 465 6 4 5 | d = shin 0 9 5 5 423 3 44 | e = thigh 24 19 12 2 5 419 8 | f = upperarm 2 12 11 5 28 10 421 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2986 87.2844 % Incorrectly Classified Instances 435 12.7156 % Kappa statistic 0.8516 Mean absolute error 0.0363 Root mean squared error 0.1906 Relative absolute error 14.8349 % Root relative squared error 54.4699 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.885 0.015 0.906 0.885 0.896 0.935 chest 0.796 0.019 0.876 0.796 0.834 0.889 forearm 0.912 0.021 0.88 0.912 0.896 0.946 head 0.951 0.01 0.941 0.951 0.946 0.971 shin 0.861 0.028 0.837 0.861 0.849 0.916 thigh 0.859 0.029 0.832 0.859 0.845 0.915 upperarm 0.845 0.027 0.841 0.845 0.843 0.909 waist Weighted Avg. 0.873 0.021 0.873 0.873 0.873 0.926 === Confusion Matrix === a b c d e f g <-- classified as 433 4 10 4 2 32 4 | a = chest 11 387 25 8 17 19 19 | b = forearm 3 9 447 2 10 18 1 | c = head 1 4 2 465 8 5 4 | d = shin 2 6 7 5 421 6 42 | e = thigh 25 17 8 7 4 420 8 | f = upperarm 3 15 9 3 41 5 413 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2998 87.6352 % Incorrectly Classified Instances 423 12.3648 % Kappa statistic 0.8557 Mean absolute error 0.0353 Root mean squared error 0.188 Relative absolute error 14.4256 % Root relative squared error 53.7133 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.896 0.014 0.916 0.896 0.906 0.941 chest 0.798 0.016 0.89 0.798 0.842 0.891 forearm 0.904 0.025 0.859 0.904 0.881 0.94 head 0.949 0.009 0.947 0.949 0.948 0.97 shin 0.845 0.024 0.857 0.845 0.851 0.911 thigh 0.857 0.026 0.846 0.857 0.852 0.915 upperarm 0.885 0.031 0.826 0.885 0.855 0.927 waist Weighted Avg. 0.876 0.021 0.877 0.876 0.876 0.928 === Confusion Matrix === a b c d e f g <-- classified as 438 2 4 4 3 33 5 | a = chest 5 388 32 6 19 18 18 | b = forearm 4 7 443 5 11 14 6 | c = head 0 6 8 464 6 4 1 | d = shin 1 10 8 0 413 2 55 | e = thigh 26 13 11 9 5 419 6 | f = upperarm 4 10 10 2 25 5 433 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2953 86.3198 % Incorrectly Classified Instances 468 13.6802 % Kappa statistic 0.8404 Mean absolute error 0.0391 Root mean squared error 0.1977 Relative absolute error 15.9603 % Root relative squared error 56.4982 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.885 0.015 0.906 0.885 0.896 0.935 chest 0.784 0.024 0.847 0.784 0.814 0.88 forearm 0.896 0.023 0.866 0.896 0.881 0.936 head 0.949 0.013 0.926 0.949 0.937 0.968 shin 0.855 0.03 0.824 0.855 0.839 0.912 thigh 0.84 0.024 0.856 0.84 0.848 0.908 upperarm 0.832 0.031 0.817 0.832 0.825 0.901 waist Weighted Avg. 0.863 0.023 0.863 0.863 0.863 0.92 === Confusion Matrix === a b c d e f g <-- classified as 433 7 6 4 8 28 3 | a = chest 8 381 28 12 20 14 23 | b = forearm 4 18 439 3 8 12 6 | c = head 2 6 5 464 5 3 4 | d = shin 2 10 8 5 418 1 45 | e = thigh 26 14 8 11 9 411 10 | f = upperarm 3 14 13 2 39 11 407 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2995 87.5475 % Incorrectly Classified Instances 426 12.4525 % Kappa statistic 0.8547 Mean absolute error 0.0356 Root mean squared error 0.1886 Relative absolute error 14.5279 % Root relative squared error 53.9035 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.906 0.014 0.917 0.906 0.912 0.946 chest 0.807 0.024 0.847 0.807 0.826 0.891 forearm 0.922 0.022 0.876 0.922 0.899 0.95 head 0.937 0.008 0.952 0.937 0.944 0.964 shin 0.859 0.025 0.852 0.859 0.855 0.917 thigh 0.843 0.023 0.86 0.843 0.851 0.91 upperarm 0.855 0.03 0.826 0.855 0.84 0.912 waist Weighted Avg. 0.875 0.021 0.876 0.875 0.875 0.927 === Confusion Matrix === a b c d e f g <-- classified as 443 5 7 2 4 25 3 | a = chest 8 392 26 5 18 15 22 | b = forearm 2 14 452 6 3 9 4 | c = head 0 9 6 458 5 7 4 | d = shin 3 3 6 1 420 6 50 | e = thigh 27 24 10 5 6 412 5 | f = upperarm 0 16 9 4 37 5 418 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 2988 87.3429 % Incorrectly Classified Instances 433 12.6571 % Kappa statistic 0.8523 Mean absolute error 0.0362 Root mean squared error 0.1902 Relative absolute error 14.7667 % Root relative squared error 54.3446 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.896 0.012 0.924 0.896 0.91 0.942 chest 0.798 0.02 0.866 0.798 0.831 0.889 forearm 0.916 0.025 0.86 0.916 0.887 0.946 head 0.951 0.01 0.943 0.951 0.947 0.971 shin 0.843 0.022 0.864 0.843 0.853 0.91 thigh 0.851 0.029 0.832 0.851 0.841 0.911 upperarm 0.859 0.03 0.828 0.859 0.843 0.915 waist Weighted Avg. 0.873 0.021 0.874 0.873 0.873 0.926 === Confusion Matrix === a b c d e f g <-- classified as 439 8 11 3 4 23 2 | a = chest 6 388 29 4 16 17 26 | b = forearm 4 9 449 1 5 18 4 | c = head 1 3 5 464 6 9 0 | d = shin 4 10 6 4 412 5 48 | e = thigh 20 17 13 13 3 416 7 | f = upperarm 1 13 9 3 31 12 420 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2973 86.9298 % Incorrectly Classified Instances 447 13.0702 % Kappa statistic 0.8475 Mean absolute error 0.0373 Root mean squared error 0.1932 Relative absolute error 15.2486 % Root relative squared error 55.2242 % Total Number of Instances 3420 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.882 0.01 0.935 0.882 0.908 0.936 chest 0.786 0.024 0.847 0.786 0.815 0.881 forearm 0.896 0.019 0.885 0.896 0.89 0.938 head 0.953 0.01 0.941 0.953 0.947 0.971 shin 0.863 0.026 0.847 0.863 0.855 0.919 thigh 0.838 0.028 0.835 0.838 0.837 0.905 upperarm 0.867 0.036 0.802 0.867 0.833 0.916 waist Weighted Avg. 0.869 0.022 0.87 0.869 0.869 0.924 === Confusion Matrix === a b c d e f g <-- classified as 432 8 6 3 4 34 3 | a = chest 13 382 21 7 20 13 30 | b = forearm 0 13 438 4 6 21 7 | c = head 0 7 1 465 6 4 5 | d = shin 0 11 3 1 422 1 51 | e = thigh 17 19 15 13 6 410 9 | f = upperarm 0 11 11 1 34 8 424 | g = waist ------------------------------------------------------------------------------------------------------ RUN: 9 FOLD: 0 Correctly Classified Instances 2973 86.9044 % Incorrectly Classified Instances 448 13.0956 % Kappa statistic 0.8472 Mean absolute error 0.0374 Root mean squared error 0.1934 Relative absolute error 15.2782 % Root relative squared error 55.2779 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.892 0.015 0.907 0.892 0.899 0.938 chest 0.786 0.02 0.866 0.786 0.824 0.883 forearm 0.906 0.026 0.854 0.906 0.879 0.94 head 0.943 0.008 0.951 0.943 0.947 0.967 shin 0.857 0.025 0.85 0.857 0.853 0.916 thigh 0.855 0.026 0.848 0.855 0.851 0.915 upperarm 0.845 0.032 0.813 0.845 0.828 0.906 waist Weighted Avg. 0.869 0.022 0.87 0.869 0.869 0.924 === Confusion Matrix === a b c d e f g <-- classified as 437 3 10 3 5 26 6 | a = chest 17 381 23 5 13 17 29 | b = forearm 2 15 444 3 7 18 1 | c = head 1 6 7 461 6 4 4 | d = shin 1 9 7 3 419 4 46 | e = thigh 22 12 17 7 4 418 9 | f = upperarm 2 14 12 3 39 6 413 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 1 Correctly Classified Instances 2957 86.4367 % Incorrectly Classified Instances 464 13.5633 % Kappa statistic 0.8418 Mean absolute error 0.0388 Root mean squared error 0.1969 Relative absolute error 15.8239 % Root relative squared error 56.2563 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.882 0.012 0.927 0.882 0.904 0.935 chest 0.79 0.02 0.865 0.79 0.825 0.885 forearm 0.896 0.025 0.856 0.896 0.875 0.935 head 0.957 0.015 0.916 0.957 0.936 0.971 shin 0.873 0.033 0.813 0.873 0.842 0.92 thigh 0.84 0.025 0.847 0.84 0.844 0.908 upperarm 0.812 0.028 0.831 0.812 0.821 0.892 waist Weighted Avg. 0.864 0.023 0.865 0.864 0.864 0.921 === Confusion Matrix === a b c d e f g <-- classified as 432 6 8 5 5 33 1 | a = chest 7 383 30 9 20 10 26 | b = forearm 3 14 439 5 10 12 7 | c = head 0 3 3 468 8 4 3 | d = shin 0 7 8 8 427 5 34 | e = thigh 24 17 13 7 7 411 10 | f = upperarm 0 13 12 9 48 10 397 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 2 Correctly Classified Instances 2979 87.0798 % Incorrectly Classified Instances 442 12.9202 % Kappa statistic 0.8493 Mean absolute error 0.0369 Root mean squared error 0.1921 Relative absolute error 15.0736 % Root relative squared error 54.9064 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.892 0.015 0.909 0.892 0.9 0.938 chest 0.835 0.024 0.854 0.835 0.845 0.906 forearm 0.916 0.028 0.847 0.916 0.88 0.944 head 0.957 0.012 0.93 0.957 0.943 0.973 shin 0.83 0.02 0.873 0.83 0.851 0.905 thigh 0.806 0.02 0.87 0.806 0.837 0.893 upperarm 0.859 0.032 0.816 0.859 0.837 0.913 waist Weighted Avg. 0.871 0.022 0.871 0.871 0.87 0.925 === Confusion Matrix === a b c d e f g <-- classified as 437 7 8 5 3 27 3 | a = chest 8 405 22 6 17 5 22 | b = forearm 3 15 449 3 6 12 2 | c = head 0 8 4 467 3 6 0 | d = shin 2 6 12 4 406 2 57 | e = thigh 29 18 17 14 6 394 11 | f = upperarm 2 15 18 3 24 7 421 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 3 Correctly Classified Instances 2994 87.5183 % Incorrectly Classified Instances 427 12.4817 % Kappa statistic 0.8544 Mean absolute error 0.0357 Root mean squared error 0.1888 Relative absolute error 14.562 % Root relative squared error 53.9667 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.908 0.009 0.947 0.908 0.927 0.95 chest 0.788 0.02 0.867 0.788 0.825 0.884 forearm 0.904 0.027 0.85 0.904 0.876 0.939 head 0.945 0.009 0.947 0.945 0.946 0.968 shin 0.863 0.028 0.837 0.863 0.85 0.917 thigh 0.879 0.028 0.84 0.879 0.859 0.926 upperarm 0.839 0.026 0.846 0.839 0.842 0.907 waist Weighted Avg. 0.875 0.021 0.876 0.875 0.875 0.927 === Confusion Matrix === a b c d e f g <-- classified as 445 4 4 5 3 25 4 | a = chest 6 383 29 5 23 23 17 | b = forearm 2 17 443 2 8 14 4 | c = head 0 3 10 461 3 7 4 | d = shin 2 7 7 5 421 4 42 | e = thigh 14 14 13 6 8 430 4 | f = upperarm 1 14 15 3 37 9 411 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 4 Correctly Classified Instances 2983 87.1967 % Incorrectly Classified Instances 438 12.8033 % Kappa statistic 0.8506 Mean absolute error 0.0366 Root mean squared error 0.1913 Relative absolute error 14.9372 % Root relative squared error 54.6574 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.904 0.016 0.906 0.904 0.905 0.944 chest 0.807 0.021 0.865 0.807 0.835 0.893 forearm 0.898 0.03 0.833 0.898 0.864 0.934 head 0.959 0.01 0.94 0.959 0.949 0.974 shin 0.838 0.021 0.869 0.838 0.853 0.909 thigh 0.828 0.018 0.886 0.828 0.856 0.905 upperarm 0.869 0.034 0.811 0.869 0.839 0.918 waist Weighted Avg. 0.872 0.021 0.873 0.872 0.872 0.925 === Confusion Matrix === a b c d e f g <-- classified as 442 4 6 6 3 21 7 | a = chest 7 392 33 6 16 9 23 | b = forearm 3 17 440 3 4 19 4 | c = head 1 5 5 469 5 0 4 | d = shin 6 8 11 7 410 0 47 | e = thigh 27 15 19 6 3 405 14 | f = upperarm 2 12 14 2 31 3 425 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 5 Correctly Classified Instances 2996 87.5767 % Incorrectly Classified Instances 425 12.4233 % Kappa statistic 0.8551 Mean absolute error 0.0355 Root mean squared error 0.1884 Relative absolute error 14.4938 % Root relative squared error 53.8402 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.9 0.01 0.936 0.9 0.918 0.945 chest 0.8 0.027 0.833 0.8 0.816 0.887 forearm 0.918 0.023 0.869 0.918 0.893 0.948 head 0.949 0.007 0.959 0.949 0.954 0.971 shin 0.838 0.024 0.856 0.838 0.847 0.907 thigh 0.857 0.019 0.88 0.857 0.868 0.919 upperarm 0.867 0.035 0.805 0.867 0.835 0.916 waist Weighted Avg. 0.876 0.021 0.877 0.876 0.876 0.928 === Confusion Matrix === a b c d e f g <-- classified as 440 6 9 2 4 25 3 | a = chest 8 389 22 5 15 15 32 | b = forearm 4 14 450 1 4 10 7 | c = head 0 8 5 464 5 3 4 | d = shin 1 14 8 3 410 1 52 | e = thigh 16 20 16 7 6 419 5 | f = upperarm 1 16 8 2 35 3 424 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 6 Correctly Classified Instances 2979 87.0798 % Incorrectly Classified Instances 442 12.9202 % Kappa statistic 0.8493 Mean absolute error 0.0369 Root mean squared error 0.1921 Relative absolute error 15.0736 % Root relative squared error 54.9064 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.9 0.017 0.896 0.9 0.898 0.941 chest 0.813 0.02 0.87 0.813 0.84 0.896 forearm 0.896 0.024 0.861 0.896 0.878 0.936 head 0.939 0.01 0.943 0.939 0.941 0.965 shin 0.859 0.024 0.855 0.859 0.857 0.917 thigh 0.843 0.026 0.843 0.843 0.843 0.908 upperarm 0.847 0.029 0.83 0.847 0.838 0.909 waist Weighted Avg. 0.871 0.022 0.871 0.871 0.871 0.925 === Confusion Matrix === a b c d e f g <-- classified as 440 6 11 2 3 25 2 | a = chest 9 395 31 5 10 19 17 | b = forearm 6 13 439 5 7 14 6 | c = head 2 4 5 459 8 7 4 | d = shin 1 6 8 3 420 3 48 | e = thigh 28 17 7 11 6 412 8 | f = upperarm 5 13 9 2 37 9 414 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 7 Correctly Classified Instances 2975 86.9629 % Incorrectly Classified Instances 446 13.0371 % Kappa statistic 0.8479 Mean absolute error 0.0372 Root mean squared error 0.193 Relative absolute error 15.21 % Root relative squared error 55.1543 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.883 0.013 0.919 0.883 0.901 0.935 chest 0.813 0.026 0.837 0.813 0.825 0.893 forearm 0.896 0.024 0.864 0.896 0.88 0.936 head 0.933 0.01 0.938 0.933 0.935 0.961 shin 0.834 0.021 0.866 0.834 0.85 0.906 thigh 0.849 0.024 0.854 0.849 0.851 0.912 upperarm 0.879 0.033 0.814 0.879 0.846 0.923 waist Weighted Avg. 0.87 0.022 0.87 0.87 0.87 0.924 === Confusion Matrix === a b c d e f g <-- classified as 432 7 14 6 5 24 1 | a = chest 6 395 20 8 14 14 29 | b = forearm 3 18 439 4 6 17 3 | c = head 1 11 6 456 8 5 2 | d = shin 3 10 9 3 408 4 52 | e = thigh 23 22 8 8 2 415 11 | f = upperarm 2 9 12 1 28 7 430 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 8 Correctly Classified Instances 3001 87.7229 % Incorrectly Classified Instances 420 12.2771 % Kappa statistic 0.8568 Mean absolute error 0.0351 Root mean squared error 0.1873 Relative absolute error 14.3233 % Root relative squared error 53.5225 % Total Number of Instances 3421 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.892 0.013 0.92 0.892 0.906 0.939 chest 0.817 0.025 0.846 0.817 0.831 0.896 forearm 0.912 0.022 0.873 0.912 0.892 0.945 head 0.947 0.013 0.926 0.947 0.936 0.967 shin 0.853 0.019 0.883 0.853 0.868 0.917 thigh 0.845 0.027 0.839 0.845 0.842 0.909 upperarm 0.875 0.025 0.853 0.875 0.864 0.925 waist Weighted Avg. 0.877 0.02 0.877 0.877 0.877 0.928 === Confusion Matrix === a b c d e f g <-- classified as 436 8 9 1 5 28 2 | a = chest 8 397 22 6 17 21 15 | b = forearm 1 12 447 6 4 17 3 | c = head 0 8 7 463 2 5 4 | d = shin 1 10 7 4 417 4 46 | e = thigh 26 21 10 14 1 413 4 | f = upperarm 2 13 10 6 26 4 428 | g = waist ------------------------------------------------------------------------------------------------------ FOLD: 9 Correctly Classified Instances 2967 86.7544 % Incorrectly Classified Instances 453 13.2456 % Kappa statistic 0.8455 Mean absolute error 0.0378 Root mean squared error 0.1945 Relative absolute error 15.4532 % Root relative squared error 55.5936 % Total Number of Instances 3420 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.88 0.017 0.898 0.88 0.889 0.931 chest 0.794 0.02 0.867 0.794 0.829 0.887 forearm 0.916 0.023 0.87 0.916 0.892 0.947 head 0.957 0.009 0.947 0.957 0.952 0.974 shin 0.847 0.026 0.843 0.847 0.845 0.91 thigh 0.838 0.028 0.835 0.838 0.836 0.905 upperarm 0.84 0.032 0.814 0.84 0.827 0.904 waist Weighted Avg. 0.868 0.022 0.868 0.868 0.867 0.923 === Confusion Matrix === a b c d e f g <-- classified as 431 6 8 3 2 37 3 | a = chest 11 386 24 5 25 13 22 | b = forearm 3 10 448 3 8 12 5 | c = head 1 2 6 468 4 6 2 | d = shin 0 5 9 5 414 2 54 | e = thigh 33 17 11 8 2 409 8 | f = upperarm 1 19 9 2 36 11 411 | g = waist 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