8887242 710 William Raynaut 2065 Supervised Classification predictive_accuracy 8312 weka.kf.JRip(1) 6835539 mDataExp Modelage study_107 171 primary-tumor https://www.openml.org/data/download/3594/dataset_113_primary-tumor.arff -1 18690314 description https://api.openml.org/data/download/18690314/description5387496000253700150.xml -1 18690315 predictions https://api.openml.org/data/download/18690315/predictions6179818087980923984.arff area_under_roc_curve 0.618451 [0.626167,0.837147,0.37138,0.498242,0.513419,0.213018,0.566374,0.337838,0.0,0.518546,0.607947,0.573723,0.495482,0.639616,0.291543,0.18787,0.705927,0.768854,0.352102,0.37908,0.244083,0.854299] average_cost 0 f_measure 0.274251 [0.45768,0.7,0,0,0,0,0,0,0,0,0,0,0,0.25641,0,0,0,0.516129,0,0,0,0.808511] kappa 0.224875 kb_relative_information_score 67.271595 mean_absolute_error 0.070013 mean_prior_absolute_error 0.081209 number_of_instances 339 [84,20,9,14,39,1,14,6,0,2,28,16,7,24,2,1,10,29,6,2,1,24] precision 0.24183 [0.310638,0.7,0,0,0,0,0,0,0,0,0,0,0,0.333333,0,0,0,0.484848,0,0,0,0.826087] predictive_accuracy 0.374631 prior_entropy 3.754223 recall 0.374631 [0.869048,0.7,0,0,0,0,0,0,0,0,0,0,0,0.208333,0,0,0,0.551724,0,0,0,0.791667] relative_absolute_error 0.86213 root_mean_prior_squared_error 0.201084 root_mean_squared_error 0.194409 root_relative_squared_error 0.966805 total_cost 0 area_under_roc_curve 0.6492 [0.615385,1,0.530303,0.53125,0.466667,0.0,0.590909,0.0,0.0,0.590909,0.596774,0.59375,0.590909,0.59375,0.0,0.0,0.590909,0.72043,0.0,0.0,0.0,1] area_under_roc_curve 0.656993 [0.581731,1,0.636364,0.609375,0.466667,0.0,0.606061,0.0,0.0,0.636364,0.645161,0.575758,0.636364,0.609375,0.0,0.0,0.636364,0.693548,0.0,0.636364,0.0,1] area_under_roc_curve 0.598466 [0.490385,0.96875,0.530303,0.125,0.566667,0.0,0.651515,0.136364,0.0,0.0,0.65625,0.651515,0.651515,0.625,0.0,0.5,0.651515,0.66129,0.0,0.651515,0.0,1] area_under_roc_curve 0.589726 [0.586538,0.3125,0.106061,0.625,0.5,0.5,0.621212,0.560606,0.0,0.0,0.625,0.621212,0.621212,0.625,0.106061,0.0,0.621212,0.741935,0.0,0.0,0.0,1] area_under_roc_curve 0.633897 [0.56,1,0.69697,0.727273,0.458333,0.0,0.727273,0.181818,0.0,0.0,0.612903,0.727273,0.212121,0.789062,0.727273,0.0,0.666667,0.83871,0.454545,0.0,0.0,0.8125] area_under_roc_curve 0.656492 [0.622222,0.789062,0.166667,0.530303,0.604167,0.0,0.789062,0.590909,0.0,0.0,0.731183,0.5,0.0,0.8125,0.0,0.0,0.681818,0.698925,0.590909,0.0,0.0,0.835938] area_under_roc_curve 0.626652 [0.62,0.59375,0.590909,0.060606,0.591398,0.0,0.59375,0.590909,0.0,0.0,0.596774,0.59375,0.0,0.698925,0.0,0.0,0.590909,0.833333,0.590909,0.0,0.0,0.789062] area_under_roc_curve 0.652107 [0.7,1,0.0,0.590909,0.5625,0.0,0.65625,0.590909,0.0,0.0,0.629032,0.5625,0.0,0.478495,0.0,0.0,0.651515,0.801075,0.5,0.0,0.0,0.5625] area_under_roc_curve 0.68568 [0.677885,1,0.151515,0.545455,0.575,0.0,0.703125,0.0,0.0,0.0,0.575269,0.703125,0.69697,0.688172,0.0,0.0,0.939394,0.96875,0.575758,0.0,0.5,0.820312] area_under_roc_curve 0.652642 [0.6925,0.604839,0.671875,0.671875,0.487069,0.0,0.21875,0.0,0.0,0.0,0.533333,0.677419,0.734375,0.627778,0.0,0.0,0.734375,0.927778,0.21875,0.0,0.0,0.983871] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 f_measure 0.295752 [0.444444,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,1] f_measure 0.276292 [0.424242,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.333333,0,0,0,1] f_measure 0.215686 [0.375,0.666667,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1] f_measure 0.229239 [0.411765,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,1] f_measure 0.259524 [0.428571,1,0,0,0,0,0,0,0,0,0,0,0,0.333333,0,0,0,0.5,0,0,0,0.4] f_measure 0.270525 [0.451613,0.4,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0.666667,0,0,0,0.666667] f_measure 0.270933 [0.486486,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0.666667,0,0,0,0.666667] f_measure 0.286542 [0.545455,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0.666667] f_measure 0.2631 [0.482759,1,0,0,0,0,0,0,0,0,0,0,0,0.25,0,0,0,0.666667,0,0,0,0.5] f_measure 0.314466 [0.538462,0.666667,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0.545455,0,0,0,0.8] kappa 0.257642 kappa 0.233906 kappa 0.172487 kappa 0.160944 kappa 0.21346 kappa 0.196563 kappa 0.195039 kappa 0.254386 kappa 0.253918 kappa 0.309471 kb_relative_information_score 7.336065 kb_relative_information_score 7.331836 kb_relative_information_score 6.247618 kb_relative_information_score 4.954127 kb_relative_information_score 6.806936 kb_relative_information_score 6.520238 kb_relative_information_score 5.376389 kb_relative_information_score 6.689251 kb_relative_information_score 8.037663 kb_relative_information_score 7.971473 mean_absolute_error 0.068014 mean_absolute_error 0.068444 mean_absolute_error 0.071909 mean_absolute_error 0.073189 mean_absolute_error 0.070361 mean_absolute_error 0.070912 mean_absolute_error 0.07213 mean_absolute_error 0.069231 mean_absolute_error 0.069255 mean_absolute_error 0.066581 mean_prior_absolute_error 0.081317 mean_prior_absolute_error 0.081421 mean_prior_absolute_error 0.081592 mean_prior_absolute_error 0.081592 mean_prior_absolute_error 0.081006 mean_prior_absolute_error 0.080851 mean_prior_absolute_error 0.080962 mean_prior_absolute_error 0.08074 mean_prior_absolute_error 0.081495 mean_prior_absolute_error 0.081111 number_of_instances 34 [8,2,1,2,4,0,1,0,0,1,3,2,1,2,0,0,1,3,0,0,0,3] number_of_instances 34 [8,2,1,2,4,0,1,0,0,1,3,1,1,2,0,0,1,3,0,1,0,3] number_of_instances 34 [8,2,1,2,4,0,1,1,0,0,2,1,1,2,0,1,1,3,0,1,0,3] number_of_instances 34 [8,2,1,2,4,1,1,1,0,0,2,1,1,2,1,0,1,3,0,0,0,3] number_of_instances 34 [9,2,1,1,4,0,1,1,0,0,3,1,1,2,1,0,1,3,1,0,0,2] number_of_instances 34 [9,2,1,1,4,0,2,1,0,0,3,2,0,2,0,0,1,3,1,0,0,2] number_of_instances 34 [9,2,1,1,3,0,2,1,0,0,3,2,0,3,0,0,1,3,1,0,0,2] number_of_instances 34 [9,2,0,1,4,0,2,1,0,0,3,2,0,3,0,0,1,3,1,0,0,2] number_of_instances 34 [8,2,1,1,4,0,2,0,0,0,3,2,1,3,0,0,1,2,1,0,1,2] number_of_instances 33 [8,2,1,1,4,0,1,0,0,0,3,2,1,3,0,0,1,3,1,0,0,2] precision 0.302521 [0.285714,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1] precision 0.242353 [0.28,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.333333,0,0,0,1] precision 0.176471 [0.25,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1] precision 0.239819 [0.269231,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1] precision 0.212023 [0.315789,1,0,0,0,0,0,0,0,0,0,0,0,0.25,0,0,0,0.4,0,0,0,0.333333] precision 0.250891 [0.318182,0.333333,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0.666667,0,0,0,1] precision 0.290966 [0.321429,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,0,1] precision 0.252206 [0.375,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.4,0,0,0,1] precision 0.213725 [0.333333,1,0,0,0,0,0,0,0,0,0,0,0,0.2,0,0,0,0.5,0,0,0,0.5] precision 0.320286 [0.388889,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0.375,0,0,0,0.666667] predictive_accuracy 0.411765 predictive_accuracy 0.382353 predictive_accuracy 0.323529 predictive_accuracy 0.323529 predictive_accuracy 0.352941 predictive_accuracy 0.352941 predictive_accuracy 0.382353 predictive_accuracy 0.411765 predictive_accuracy 0.382353 predictive_accuracy 0.424242 prior_entropy 3.754223 prior_entropy 3.754223 prior_entropy 3.754223 prior_entropy 3.754223 prior_entropy 3.754223 prior_entropy 3.754223 prior_entropy 3.754223 prior_entropy 3.754223 prior_entropy 3.754223 prior_entropy 3.754223 recall 0.411765 [1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.333333,0,0,0,1] recall 0.382353 [0.875,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.333333,0,0,0,1] recall 0.323529 [0.75,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1] recall 0.323529 [0.875,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.333333,0,0,0,1] recall 0.352941 [0.666667,1,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0.666667,0,0,0,0.5] recall 0.352941 [0.777778,0.5,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0.666667,0,0,0,0.5] recall 0.382353 [1,0,0,0,0,0,0,0,0,0,0,0,0,0.333333,0,0,0,0.666667,0,0,0,0.5] recall 0.411765 [1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.666667,0,0,0,0.5] recall 0.382353 [0.875,1,0,0,0,0,0,0,0,0,0,0,0,0.333333,0,0,0,1,0,0,0,0.5] recall 0.424242 [0.875,0.5,0,0,0,0,0,0,0,0,0,0,0,0.333333,0,0,0,1,0,0,0,1] relative_absolute_error 0.836396 relative_absolute_error 0.840621 relative_absolute_error 0.881327 relative_absolute_error 0.897021 relative_absolute_error 0.86859 relative_absolute_error 0.877067 relative_absolute_error 0.890908 relative_absolute_error 0.857455 relative_absolute_error 0.849809 relative_absolute_error 0.820869 root_mean_prior_squared_error 0.201354 root_mean_prior_squared_error 0.201611 root_mean_prior_squared_error 0.202033 root_mean_prior_squared_error 0.202033 root_mean_prior_squared_error 0.20058 root_mean_prior_squared_error 0.200192 root_mean_prior_squared_error 0.200469 root_mean_prior_squared_error 0.199914 root_mean_prior_squared_error 0.201795 root_mean_prior_squared_error 0.20084 root_mean_squared_error 0.18184 root_mean_squared_error 0.189827 root_mean_squared_error 0.199533 root_mean_squared_error 0.202964 root_mean_squared_error 0.202921 root_mean_squared_error 0.196175 root_mean_squared_error 0.19127 root_mean_squared_error 0.191562 root_mean_squared_error 0.191938 root_mean_squared_error 0.195109 root_relative_squared_error 0.903086 root_relative_squared_error 0.941553 root_relative_squared_error 0.987624 root_relative_squared_error 1.004606 root_relative_squared_error 1.011673 root_relative_squared_error 0.979934 root_relative_squared_error 0.954114 root_relative_squared_error 0.958223 root_relative_squared_error 0.951153 root_relative_squared_error 0.971468 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0