10327885 8323 Heinrich Peters 15 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8183536 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "most_frequent" 12737 verbose 0 12737 copy true 13294 with_mean true 13294 with_std true 13294 C 478.18056009081954 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.07786807433446227 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 54780 13389 shrinking true 13389 tol 0.001 13389 verbose false 13389 memory null 16345 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}] 16345 verbose false 16345 openml-python Sklearn_0.21.2. 15 breast-w https://www.openml.org/data/download/52350/openml_phpJNxH0q -1 21577456 description https://api.openml.org/data/download/21577456/description.xml -1 21577457 predictions https://api.openml.org/data/download/21577457/predictions.arff area_under_roc_curve 0.9347061914511949 [0.934706,0.934706] average_cost 0 f_measure 0.942660361237486 [0.956522,0.916318] kappa 0.8728443571272648 kb_relative_information_score 0.8678972553112473 mean_absolute_error 0.05722460658082976 mean_prior_absolute_error 0.4519499019385762 number_of_instances 699 [458,241] precision 0.9426132742805747 [0.952381,0.924051] predictive_accuracy 0.9427753934191702 prior_entropy 0.92931856324281 recall 0.9427753934191703 [0.960699,0.908714] relative_absolute_error 0.12661714569551352 root_mean_prior_squared_error 0.47529612442517866 root_mean_squared_error 0.2392166519722859 root_relative_squared_error 0.5033002367978354 total_cost 0 area_under_roc_curve 0.9365942028985509 [0.936594,0.936594] area_under_roc_curve 0.9574275362318839 [0.957428,0.957428] area_under_roc_curve 0.9375 [0.9375,0.9375] area_under_roc_curve 0.9356884057971013 [0.935688,0.935688] area_under_roc_curve 0.9682971014492754 [0.968297,0.968297] area_under_roc_curve 0.9266304347826088 [0.92663,0.92663] area_under_roc_curve 0.9166666666666665 [0.916667,0.916667] area_under_roc_curve 0.9148550724637681 [0.914855,0.914855] area_under_roc_curve 0.9088888888888889 [0.908889,0.908889] area_under_roc_curve 0.9458333333333334 [0.945833,0.945833] 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 0.9428571428571428 [0.956522,0.916667] f_measure 0.9573446961202065 [0.967033,0.938776] f_measure 0.956390977443609 [0.968421,0.933333] f_measure 0.9294684165801151 [0.94382,0.901961] f_measure 0.9714285714285714 [0.978261,0.958333] f_measure 0.9422228095678605 [0.957447,0.913043] f_measure 0.9414502164502165 [0.958333,0.909091] f_measure 0.915047619047619 [0.933333,0.88] f_measure 0.9274438670457889 [0.946237,0.893617] f_measure 0.9425296442687746 [0.954545,0.92] kappa 0.8731884057971014 kappa 0.9058295964125561 kappa 0.9019607843137256 kappa 0.8460861917326298 kappa 0.9365942028985507 kappa 0.8706099815157116 kappa 0.8679245283018867 kappa 0.8134991119005328 kappa 0.8401826484018265 kappa 0.874659400544959 kb_relative_information_score 0.8678336604620113 kb_relative_information_score 0.9008752453465084 kb_relative_information_score 0.9008752453465084 kb_relative_information_score 0.8347920755775141 kb_relative_information_score 0.9339168302310057 kb_relative_information_score 0.8678336604620114 kb_relative_information_score 0.8678336604620114 kb_relative_information_score 0.801750490693017 kb_relative_information_score 0.8371089121111873 kb_relative_information_score 0.8665782713847476 mean_absolute_error 0.05714285714285714 mean_absolute_error 0.04285714285714286 mean_absolute_error 0.04285714285714286 mean_absolute_error 0.07142857142857142 mean_absolute_error 0.02857142857142857 mean_absolute_error 0.05714285714285714 mean_absolute_error 0.05714285714285714 mean_absolute_error 0.08571428571428572 mean_absolute_error 0.07142857142857142 mean_absolute_error 0.057971014492753624 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45577746077032805 mean_prior_absolute_error 0.45289338212491465 number_of_instances 70 [46,24] number_of_instances 70 [46,24] number_of_instances 70 [46,24] number_of_instances 70 [46,24] number_of_instances 70 [46,24] number_of_instances 70 [46,24] number_of_instances 70 [46,24] number_of_instances 70 [46,24] number_of_instances 70 [45,25] number_of_instances 69 [45,24] precision 0.9428571428571428 [0.956522,0.916667] precision 0.9579682539682539 [0.977778,0.92] precision 0.9597667638483965 [0.938776,1] precision 0.9339239571797712 [0.976744,0.851852] precision 0.9714285714285714 [0.978261,0.958333] precision 0.9433441558441558 [0.9375,0.954545] precision 0.9474285714285713 [0.92,1] precision 0.9173826173826175 [0.954545,0.846154] precision 0.9301948051948051 [0.916667,0.954545] precision 0.9446993855487282 [0.976744,0.884615] predictive_accuracy 0.942857142857143 predictive_accuracy 0.9571428571428571 predictive_accuracy 0.9571428571428571 predictive_accuracy 0.9285714285714286 predictive_accuracy 0.9714285714285714 predictive_accuracy 0.942857142857143 predictive_accuracy 0.942857142857143 predictive_accuracy 0.9142857142857143 predictive_accuracy 0.9285714285714286 predictive_accuracy 0.9420289855072465 prior_entropy 0.9275444412731174 prior_entropy 0.9275444412731174 prior_entropy 0.9275444412731174 prior_entropy 0.9275444412731174 prior_entropy 0.9275444412731174 prior_entropy 0.9275444412731174 prior_entropy 0.9275444412731174 prior_entropy 0.9275444412731174 prior_entropy 0.9407371142179634 prior_entropy 0.9321331970800204 recall 0.9428571428571428 [0.956522,0.916667] recall 0.9571428571428572 [0.956522,0.958333] recall 0.9571428571428572 [1,0.875] recall 0.9285714285714286 [0.913043,0.958333] recall 0.9714285714285714 [0.978261,0.958333] recall 0.9428571428571428 [0.978261,0.875] recall 0.9428571428571428 [1,0.833333] recall 0.9142857142857143 [0.913043,0.916667] recall 0.9285714285714286 [0.977778,0.84] recall 0.9420289855072463 [0.933333,0.958333] relative_absolute_error 0.12660285353079287 relative_absolute_error 0.09495214014809465 relative_absolute_error 0.09495214014809465 relative_absolute_error 0.15825356691349107 relative_absolute_error 0.06330142676539643 relative_absolute_error 0.12660285353079287 relative_absolute_error 0.12660285353079287 relative_absolute_error 0.1899042802961893 relative_absolute_error 0.1567180862955511 relative_absolute_error 0.128001460786999 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.4793057111336632 root_mean_prior_squared_error 0.4762876085727333 root_mean_squared_error 0.23904572186687872 root_mean_squared_error 0.20701966780270625 root_mean_squared_error 0.20701966780270625 root_mean_squared_error 0.2672612419124244 root_mean_squared_error 0.1690308509457033 root_mean_squared_error 0.23904572186687872 root_mean_squared_error 0.23904572186687872 root_mean_squared_error 0.29277002188455997 root_mean_squared_error 0.2672612419124244 root_mean_squared_error 0.2407717061715384 root_relative_squared_error 0.5036039096844597 root_relative_squared_error 0.43613377923190605 root_relative_squared_error 0.43613377923190605 root_relative_squared_error 0.5630462878945582 root_relative_squared_error 0.35610173956993896 root_relative_squared_error 0.5036039096844597 root_relative_squared_error 0.5036039096844597 root_relative_squared_error 0.616786305598795 root_relative_squared_error 0.5576007873561383 root_relative_squared_error 0.5055174685166525 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 14.627737997216173 usercpu_time_millis 14.322729999548756 usercpu_time_millis 14.197473996318877 usercpu_time_millis 13.364079997700173 usercpu_time_millis 14.566599995305296 usercpu_time_millis 14.990588002547156 usercpu_time_millis 13.197857995692175 usercpu_time_millis 12.7218530033133 usercpu_time_millis 12.929415992402937 usercpu_time_millis 13.50213599653216 usercpu_time_millis_testing 1.1455629937699996 usercpu_time_millis_testing 1.0787860010168515 usercpu_time_millis_testing 1.135134996729903 usercpu_time_millis_testing 1.108514996303711 usercpu_time_millis_testing 1.1222190005355515 usercpu_time_millis_testing 1.1128670012112707 usercpu_time_millis_testing 0.9924199985107407 usercpu_time_millis_testing 1.012028005789034 usercpu_time_millis_testing 1.0158839941141196 usercpu_time_millis_testing 1.0103739987243898 usercpu_time_millis_training 13.482175003446173 usercpu_time_millis_training 13.243943998531904 usercpu_time_millis_training 13.062338999588974 usercpu_time_millis_training 12.255565001396462 usercpu_time_millis_training 13.444380994769745 usercpu_time_millis_training 13.877721001335885 usercpu_time_millis_training 12.205437997181434 usercpu_time_millis_training 11.709824997524265 usercpu_time_millis_training 11.913531998288818 usercpu_time_millis_training 12.491761997807771 wall_clock_time_millis 30.628442764282227 wall_clock_time_millis 30.326128005981445 wall_clock_time_millis 14.209508895874023 wall_clock_time_millis 13.37742805480957 wall_clock_time_millis 30.575037002563477 wall_clock_time_millis 31.004667282104492 wall_clock_time_millis 13.205289840698242 wall_clock_time_millis 12.730836868286133 wall_clock_time_millis 12.939691543579102 wall_clock_time_millis 13.513565063476562 wall_clock_time_millis_testing 1.1513233184814453 wall_clock_time_millis_testing 1.0836124420166016 wall_clock_time_millis_testing 1.1408329010009766 wall_clock_time_millis_testing 1.1150836944580078 wall_clock_time_millis_testing 1.1277198791503906 wall_clock_time_millis_testing 1.1181831359863281 wall_clock_time_millis_testing 0.9965896606445312 wall_clock_time_millis_testing 1.016378402709961 wall_clock_time_millis_testing 1.0199546813964844 wall_clock_time_millis_testing 1.0151863098144531 wall_clock_time_millis_training 29.47711944580078 wall_clock_time_millis_training 29.242515563964844 wall_clock_time_millis_training 13.068675994873047 wall_clock_time_millis_training 12.262344360351562 wall_clock_time_millis_training 29.447317123413086 wall_clock_time_millis_training 29.886484146118164 wall_clock_time_millis_training 12.208700180053711 wall_clock_time_millis_training 11.714458465576172 wall_clock_time_millis_training 11.919736862182617 wall_clock_time_millis_training 12.49837875366211