225199 2 Joaquin Vanschoren 2065 Supervised Classification predictive_accuracy 1103 weka.VFI(1) 1872 weka.classifiers.misc.VFI -- -B 0.6 B 0.6 1103 study_1 weka weka_3.7.12 171 primary-tumor https://www.openml.org/data/download/3594/dataset_113_primary-tumor.arff -1 749031 description https://api.openml.org/data/download/749031/weka_generated_run7746134681094184386.xml -1 749034 model_readable https://api.openml.org/data/download/749034/WekaModel_weka.classifiers.misc.VFI6205631573305716947.model -1 749033 model_serialized https://api.openml.org/data/download/749033/WekaSerialized_weka.classifiers.misc.VFI8728610845424170918.model -1 749032 predictions https://api.openml.org/data/download/749032/weka_generated_predictions5975342160106205355.arff area_under_roc_curve 0.811758 [0.859337,0.986991,0.69899,0.756703,0.69,0.048817,0.704835,0.692192,0.0,0.992582,0.795475,0.898026,0.481282,0.752579,0.545252,0.048817,0.868389,0.932481,0.645646,0.594955,0.048817,0.973413] average_cost 0 f_measure 0.31459 [0.487395,0.648649,0,0.2,0.045455,0,0,0.173913,0,0.111111,0.102564,0.350877,0,0.071429,0,0,0.26087,0.586207,0,0,0,0.711864] kappa 0.256579 kb_relative_information_score 16.921829 mean_absolute_error 0.08542 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] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.42982 [0.828571,0.705882,0,0.333333,0.2,0,0,0.117647,0,0.058824,0.181818,0.243902,0,0.25,0,0,0.230769,0.586207,0,0,0,0.6] predictive_accuracy 0.300885 prior_entropy 3.754223 recall 0.300885 [0.345238,0.6,0,0.142857,0.025641,0,0,0.333333,0,1,0.071429,0.625,0,0.041667,0,0,0.3,0.586207,0,0,0,0.875] relative_absolute_error 1.051859 root_mean_prior_squared_error 0.201084 root_mean_squared_error 0.205542 root_relative_squared_error 1.02217 scimark_benchmark 876.066359 [550.9287964609948, 1009.9344946043965, 476.37171629653386, 819.7123319335375, 1523.3844561285432] total_cost 0 usercpu_time_millis 10 usercpu_time_millis_testing 10 usercpu_time_millis_training 0 area_under_roc_curve 0.807881 [0.841346,1,0.848485,0.46875,0.666667,0.0,0.787879,0.0,0.0,1,0.747312,0.921875,0.69697,0.53125,0.0,0.0,0.651515,1,0.0,0.0,0.0,1] area_under_roc_curve 0.875279 [0.956731,0.984375,0.242424,0.859375,0.716667,0.0,0.969697,0.0,0.0,1,0.801075,0.984848,0.848485,0.921875,0.0,0.0,0.969697,0.924731,0.0,0.515152,0.0,1] area_under_roc_curve 0.79012 [0.740385,0.96875,0.939394,0.75,0.75,0.0,0.924242,0.69697,0.0,0.0,0.8125,0.984848,0.212121,0.890625,0.0,0.5,0.939394,0.817204,0.0,0.545455,0.0,0.967742] area_under_roc_curve 0.788055 [0.865385,0.96875,1,0.90625,0.5625,0.5,0.424242,0.454545,0.0,0.0,0.828125,0.787879,0.727273,0.515625,0.575758,0.0,0.939394,0.924731,0.0,0.0,0.0,1] area_under_roc_curve 0.898715 [0.906667,1,0.969697,0.969697,0.85,0.0,0.787879,0.878788,0.0,0.0,0.892473,1,0.545455,0.9375,0.606061,0.0,1,0.956989,0.909091,0.0,0.0,0.953125] area_under_roc_curve 0.848526 [0.893333,1,0.727273,0.69697,0.633333,0.0,0.75,1,0.0,0.0,0.924731,0.90625,0.0,0.9375,0.0,0.0,0.848485,0.913978,0.393939,0.0,0.0,0.953125] area_under_roc_curve 0.815909 [0.786667,1,0.818182,0.848485,0.752688,0.0,0.578125,0.969697,0.0,0.0,0.655914,0.96875,0.0,0.763441,0.0,0.0,0.878788,0.978495,0.787879,0.0,0.0,0.90625] area_under_roc_curve 0.853905 [0.964444,1,0.0,0.878788,0.816667,0.0,0.796875,0.272727,0.0,0.0,0.784946,0.671875,0.0,0.768817,0.0,0.0,0.954545,0.935484,0.606061,0.0,0.0,0.984375] area_under_roc_curve 0.802937 [0.879808,1,0.424242,1,0.645833,0.0,0.625,0.0,0.0,0.0,0.806452,0.875,0.484848,0.784946,0.0,0.0,1,0.976562,0.666667,0.0,0.5,0.9375] area_under_roc_curve 0.789839 [0.905,1,0.4375,0.875,0.590517,0.0,0.65625,0.0,0.0,0.0,0.8,0.967742,0,0.611111,0.0,0.0,0.65625,0.994444,0.75,0.0,0.0,0.967742] 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 0.287255 [0.4,0.666667,0,0,0,0,0,0,0,0.333333,0,0.25,0,0,0,0,0,0.8,0,0,0,0.666667] f_measure 0.249427 [0.363636,1,0,0,0,0,0,0,0,0.666667,0,0.333333,0,0,0,0,0,0,0,0,0,0.857143] f_measure 0.310205 [0.545455,0.8,0,0,0,0,0,0,0,0,0.666667,0.5,0,0,0,0,0.5,0,0,0,0,0.75] f_measure 0.37535 [0.857143,0,0,0.666667,0,0,0,0,0,0,0,0,0,0,0,0,0,0.666667,0,0,0,0.857143] f_measure 0.177871 [0,0.666667,0,1,0,0,0,0,0,0,0,0.666667,0,0,0,0,0,0.571429,0,0,0,0.666667] f_measure 0.35387 [0.736842,0.666667,0,0,0,0,0,0.333333,0,0,0,0,0,0,0,0,0,0.8,0,0,0,0.666667] f_measure 0.385197 [0.461538,0.8,0,0,0,0,0,0.666667,0,0,0,0.571429,0,0.4,0,0,0,1,0,0,0,0.666667] f_measure 0.251485 [0.363636,1,0,0,0,0,0,0,0,0,0,0.222222,0,0,0,0,0.5,0.333333,0,0,0,0.666667] f_measure 0.253221 [0.4,0,0,0,0.4,0,0,0,0,0,0,0.5,0,0,0,0,0.666667,0.571429,0,0,0,0.5] f_measure 0.332743 [0.363636,0.666667,0,0,0,0,0,0,0,0,0.5,0.666667,0,0,0,0,0,0.857143,0,0,0,0.666667] kappa 0.246537 kappa 0.220898 kappa 0.283883 kappa 0.302239 kappa 0.181088 kappa 0.276596 kappa 0.338889 kappa 0.219467 kappa 0.199275 kappa 0.291707 kb_relative_information_score 1.958751 kb_relative_information_score 2.616847 kb_relative_information_score 2.259015 kb_relative_information_score 2.284754 kb_relative_information_score 2.216457 kb_relative_information_score 1.175668 kb_relative_information_score 1.127214 kb_relative_information_score 0.921597 kb_relative_information_score 1.322275 kb_relative_information_score 1.039252 mean_absolute_error 0.085233 mean_absolute_error 0.085228 mean_absolute_error 0.085401 mean_absolute_error 0.085293 mean_absolute_error 0.085481 mean_absolute_error 0.085505 mean_absolute_error 0.08571 mean_absolute_error 0.08537 mean_absolute_error 0.085529 mean_absolute_error 0.085455 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 0.442157 [1,1,0,0,0,0,0,0,0,0.2,0,0.166667,0,0,0,0,0,1,0,0,0,0.5] precision 0.302451 [0.666667,1,0,0,0,0,0,0,0,0.5,0,0.2,0,0,0,0,0,0,0,0,0,0.75] precision 0.405882 [1,0.666667,0,0,0,0,0,0,0,0,1,0.333333,0,0,0,0,0.333333,0,0,0,0,0.6] precision 0.419118 [1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0.666667,0,0,0,0.75] precision 0.176471 [0,1,0,1,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0.5,0,0,0,0.5] precision 0.397059 [0.7,1,0,0,0,0,0,0.2,0,0,0,0,0,0,0,0,0,1,0,0,0,1] precision 0.467157 [0.75,0.666667,0,0,0,0,0,0.5,0,0,0,0.4,0,0.5,0,0,0,1,0,0,0,1] precision 0.40056 [1,1,0,0,0,0,0,0,0,0,0,0.142857,0,0,0,0,0.333333,0.333333,0,0,0,0.5] precision 0.45 [1,0,0,0,1,0,0,0,0,0,0,0.5,0,0,0,0,0.5,0.4,0,0,0,0.5] precision 0.441919 [0.666667,1,0,0,0,0,0,0,0,0,1,0.5,0,0,0,0,0,0.75,0,0,0,0.5] predictive_accuracy 0.294118 predictive_accuracy 0.264706 predictive_accuracy 0.323529 predictive_accuracy 0.352941 predictive_accuracy 0.205882 predictive_accuracy 0.352941 predictive_accuracy 0.382353 predictive_accuracy 0.264706 predictive_accuracy 0.235294 predictive_accuracy 0.333333 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 0.294118 [0.25,0.5,0,0,0,0,0,0,0,1,0,0.5,0,0,0,0,0,0.666667,0,0,0,1] recall 0.264706 [0.25,1,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1] recall 0.323529 [0.375,1,0,0,0,0,0,0,0,0,0.5,1,0,0,0,0,1,0,0,0,0,1] recall 0.352941 [0.75,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0.666667,0,0,0,1] recall 0.205882 [0,0.5,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0.666667,0,0,0,1] recall 0.352941 [0.777778,0.5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0.666667,0,0,0,0.5] recall 0.382353 [0.333333,1,0,0,0,0,0,1,0,0,0,1,0,0.333333,0,0,0,1,0,0,0,0.5] recall 0.264706 [0.222222,1,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,1,0.333333,0,0,0,1] recall 0.235294 [0.25,0,0,0,0.25,0,0,0,0,0,0,0.5,0,0,0,0,1,1,0,0,0,0.5] recall 0.333333 [0.25,0.5,0,0,0,0,0,0,0,0,0.333333,1,0,0,0,0,0,1,0,0,0,1] relative_absolute_error 1.048147 relative_absolute_error 1.04676 relative_absolute_error 1.046693 relative_absolute_error 1.045362 relative_absolute_error 1.055238 relative_absolute_error 1.057564 relative_absolute_error 1.058639 relative_absolute_error 1.057342 relative_absolute_error 1.049502 relative_absolute_error 1.05356 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 0.205062 root_mean_squared_error 0.205016 root_mean_squared_error 0.205711 root_mean_squared_error 0.205449 root_mean_squared_error 0.205609 root_mean_squared_error 0.205625 root_mean_squared_error 0.206107 root_mean_squared_error 0.205331 root_mean_squared_error 0.205954 root_mean_squared_error 0.205555 root_relative_squared_error 1.018415 root_relative_squared_error 1.016891 root_relative_squared_error 1.018204 root_relative_squared_error 1.01691 root_relative_squared_error 1.025071 root_relative_squared_error 1.027141 root_relative_squared_error 1.028125 root_relative_squared_error 1.027095 root_relative_squared_error 1.020609 root_relative_squared_error 1.023476 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 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0