8865990 710 William Raynaut 146032 Supervised Classification precision 7782 weka.kf.AttributeSelection-BestFirst-CfsSubsetEval-SMO(1) 6833242 mDataExp Modelage study_107 171 primary-tumor https://www.openml.org/data/download/3594/dataset_113_primary-tumor.arff -1 18647811 description https://api.openml.org/data/download/18647811/description4331490155725193171.xml -1 18647812 predictions https://api.openml.org/data/download/18647812/predictions2805084724495345320.arff area_under_roc_curve 0.787186 [0.817554,0.985502,0.727946,0.827473,0.699701,0.048817,0.61978,0.59034,0.0,0.952522,0.752239,0.885255,0.384466,0.769577,0.466617,0.048817,0.881307,0.886318,0.613113,0.282641,0.048817,0.945635] average_cost 0 f_measure 0.406203 [0.644231,0.808511,0,0.307692,0.216216,0,0,0.285714,0,0,0.115385,0.363636,0,0.25641,0,0,0.5,0.527778,0,0,0,0.727273] kappa 0.367308 kb_relative_information_score 27.482355 mean_absolute_error 0.083619 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 0.394673 [0.540323,0.703704,0,0.333333,0.228571,0,0,1,0,0,0.125,0.285714,0,0.333333,0,0,0.666667,0.44186,0,0,0,0.8] predictive_accuracy 0.454277 prior_entropy 3.754223 recall 0.454277 [0.797619,0.95,0,0.285714,0.205128,0,0,0.166667,0,0,0.107143,0.5,0,0.208333,0,0,0.4,0.655172,0,0,0,0.666667] relative_absolute_error 1.029675 root_mean_prior_squared_error 0.201084 root_mean_squared_error 0.202374 root_relative_squared_error 1.006416 total_cost 0 area_under_roc_curve 0.852641 [0.903846,1,1,0.640625,0.733333,0.0,0.893939,0.0,0.0,0.954545,0.758065,0.96875,0.227273,0.804688,0.0,0.0,0.712121,0.978495,0.0,0.0,0.0,1] area_under_roc_curve 0.828165 [0.860577,1,0.393939,0.828125,0.658333,0.0,0.712121,0.0,0.0,0.984848,0.736559,0.924242,0.742424,0.984375,0.0,0.0,1,0.844086,0.0,0.515152,0.0,1] area_under_roc_curve 0.685165 [0.620192,0.953125,0.469697,0.601562,0.691667,0.0,0.742424,0.469697,0.0,0.0,0.65625,0.969697,0.151515,0.8125,0.0,0.5,1,0.66129,0.0,0.378788,0.0,0.951613] area_under_roc_curve 0.811 [0.841346,0.96875,0.969697,0.953125,0.729167,0.5,0.318182,0.515152,0.0,0.0,0.90625,0.863636,0.590909,0.484375,0.924242,0.0,0.893939,0.908602,0.0,0.0,0.0,1] area_under_roc_curve 0.839178 [0.9,1,0.727273,1,0.8,0.0,0.621212,0.666667,0.0,0.0,0.709677,0.984848,0.348485,0.9375,0.5,0.0,1,0.967742,0.757576,0.0,0.0,0.859375] area_under_roc_curve 0.835499 [0.815556,0.984375,0.69697,0.878788,0.716667,0.0,0.765625,0.984848,0.0,0.0,0.83871,0.914062,0.0,0.914062,0.0,0.0,1,0.833333,0.545455,0.0,0.0,0.960938] area_under_roc_curve 0.804003 [0.773333,0.984375,0.848485,0.909091,0.763441,0.0,0.445312,1,0.0,0.0,0.612903,0.945312,0.0,0.88172,0.0,0.0,0.863636,0.935484,0.924242,0.0,0.0,0.75] area_under_roc_curve 0.822279 [0.86,1,0.0,1,0.804167,0.0,0.578125,0.136364,0.0,0.0,0.784946,0.773438,0.0,0.897849,0.0,0.0,0.909091,0.876344,0.606061,0.0,0.0,0.984375] area_under_roc_curve 0.74938 [0.78125,1,0.666667,0.954545,0.495833,0.0,0.546875,0.0,0.0,0.0,0.741935,0.890625,0.090909,0.897849,0.0,0.0,0.863636,0.96875,0.484848,0.0,0.5,0.976562] area_under_roc_curve 0.797644 [0.8925,1,0.84375,0.84375,0.698276,0.0,0.53125,0.0,0.0,0.0,0.761111,0.975806,0.78125,0.311111,0.0,0.0,0.796875,0.933333,0.65625,0.0,0.0,0.983871] 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 0.450514 [0.761905,1,0,0,0.222222,0,0,0,0,0,0,0.666667,0,0,0,0,0,0.666667,0,0,0,1] f_measure 0.443978 [0.666667,1,0,0.666667,0.285714,0,0,0,0,0,0,0.285714,0,0,0,0,1,0.333333,0,0,0,1] f_measure 0.260784 [0.4,0.444444,0,0,0.444444,0,0,0,0,0,0,0.5,0,0,0,0,1,0,0,0,0,0.5] f_measure 0.347212 [0.636364,0.5,0,0.4,0,0,0,0,0,0,0.4,0,0,0,0,0,0,0.571429,0,0,0,0.8] f_measure 0.451419 [0.736842,1,0,1,0,0,0,0,0,0,0,0.666667,0,0.5,0,0,1,0.75,0,0,0,0.4] f_measure 0.390537 [0.608696,0.8,0,0,0.5,0,0,0,0,0,0,0.333333,0,0,0,0,1,0.4,0,0,0,0.666667] f_measure 0.446779 [0.6,0.8,0,0,0.4,0,0,1,0,0,0.285714,0.4,0,0.4,0,0,0,0.6,0,0,0,0.666667] f_measure 0.446167 [0.736842,1,0,1,0.2,0,0,0,0,0,0,0.285714,0,0.5,0,0,0,0.444444,0,0,0,0.666667] f_measure 0.291087 [0.545455,1,0,0,0,0,0,0,0,0,0,0,0,0.4,0,0,0,0.666667,0,0,0,0.5] f_measure 0.408947 [0.761905,1,0,0,0,0,0,0,0,0,0.333333,0.5,0,0,0,0,0,0.6,0,0,0,0.8] kappa 0.419095 kappa 0.425447 kappa 0.223436 kappa 0.318637 kappa 0.463511 kappa 0.340816 kappa 0.420261 kappa 0.386774 kappa 0.245207 kappa 0.431647 kb_relative_information_score 2.966691 kb_relative_information_score 3.514778 kb_relative_information_score 2.315189 kb_relative_information_score 3.20094 kb_relative_information_score 2.969817 kb_relative_information_score 2.874 kb_relative_information_score 2.990594 kb_relative_information_score 1.842752 kb_relative_information_score 2.317957 kb_relative_information_score 2.489637 mean_absolute_error 0.083409 mean_absolute_error 0.083466 mean_absolute_error 0.084271 mean_absolute_error 0.083736 mean_absolute_error 0.083536 mean_absolute_error 0.083362 mean_absolute_error 0.083443 mean_absolute_error 0.083547 mean_absolute_error 0.083876 mean_absolute_error 0.083539 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 0.433032 [0.615385,1,0,0,0.2,0,0,0,0,0,0,1,0,0,0,0,0,0.666667,0,0,0,1] precision 0.43552 [0.538462,1,0,1,0.333333,0,0,0,0,0,0,0.166667,0,0,0,0,1,0.333333,0,0,0,1] precision 0.269748 [0.333333,0.285714,0,0,0.4,0,0,0,0,0,0,0.333333,0,0,0,0,1,0,0,0,0,1] precision 0.318627 [0.5,0.5,0,0.333333,0,0,0,0,0,0,0.333333,0,0,0,0,0,0,0.5,0,0,0,1] precision 0.409804 [0.7,1,0,1,0,0,0,0,0,0,0,0.5,0,0.333333,0,0,1,0.6,0,0,0,0.333333] precision 0.377451 [0.5,0.666667,0,0,0.5,0,0,0,0,0,0,0.25,0,0,0,0,1,0.5,0,0,0,1] precision 0.439553 [0.545455,0.666667,0,0,0.5,0,0,1,0,0,0.25,0.333333,0,0.5,0,0,0,0.428571,0,0,0,1] precision 0.481373 [0.7,1,0,1,0.166667,0,0,0,0,0,0,0.2,0,1,0,0,0,0.333333,0,0,0,1] precision 0.262605 [0.428571,1,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0.5,0,0,0,0.5] precision 0.349761 [0.615385,1,0,0,0,0,0,0,0,0,0.333333,0.5,0,0,0,0,0,0.428571,0,0,0,0.666667] predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.323529 predictive_accuracy 0.411765 predictive_accuracy 0.529412 predictive_accuracy 0.441176 predictive_accuracy 0.5 predictive_accuracy 0.470588 predictive_accuracy 0.352941 predictive_accuracy 0.515152 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 0.5 [1,1,0,0,0.25,0,0,0,0,0,0,0.5,0,0,0,0,0,0.666667,0,0,0,1] recall 0.5 [0.875,1,0,0.5,0.25,0,0,0,0,0,0,1,0,0,0,0,1,0.333333,0,0,0,1] recall 0.323529 [0.5,1,0,0,0.5,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0.333333] recall 0.411765 [0.875,0.5,0,0.5,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0.666667,0,0,0,0.666667] recall 0.529412 [0.777778,1,0,1,0,0,0,0,0,0,0,1,0,1,0,0,1,1,0,0,0,0.5] recall 0.441176 [0.777778,1,0,0,0.5,0,0,0,0,0,0,0.5,0,0,0,0,1,0.333333,0,0,0,0.5] recall 0.5 [0.666667,1,0,0,0.333333,0,0,1,0,0,0.333333,0.5,0,0.333333,0,0,0,1,0,0,0,0.5] recall 0.470588 [0.777778,1,0,1,0.25,0,0,0,0,0,0,0.5,0,0.333333,0,0,0,0.666667,0,0,0,0.5] recall 0.352941 [0.75,1,0,0,0,0,0,0,0,0,0,0,0,0.333333,0,0,0,1,0,0,0,0.5] recall 0.515152 [1,1,0,0,0,0,0,0,0,0,0.333333,0.5,0,0,0,0,0,1,0,0,0,1] relative_absolute_error 1.025715 relative_absolute_error 1.025119 relative_absolute_error 1.032841 relative_absolute_error 1.026287 relative_absolute_error 1.031225 relative_absolute_error 1.031062 relative_absolute_error 1.030648 relative_absolute_error 1.034774 relative_absolute_error 1.029212 relative_absolute_error 1.029937 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 0.201817 root_mean_squared_error 0.201976 root_mean_squared_error 0.204019 root_mean_squared_error 0.202729 root_mean_squared_error 0.202157 root_mean_squared_error 0.201713 root_mean_squared_error 0.201921 root_mean_squared_error 0.202195 root_mean_squared_error 0.203043 root_mean_squared_error 0.202155 root_relative_squared_error 1.002299 root_relative_squared_error 1.00181 root_relative_squared_error 1.009828 root_relative_squared_error 1.003443 root_relative_squared_error 1.007864 root_relative_squared_error 1.007601 root_relative_squared_error 1.007244 root_relative_squared_error 1.01141 root_relative_squared_error 1.006188 root_relative_squared_error 1.006546 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