10328147 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) 8183798 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 352.1682632247339 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.06806222923892684 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 64941 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 21577980 description https://api.openml.org/data/download/21577980/description.xml -1 21577981 predictions https://api.openml.org/data/download/21577981/predictions.arff area_under_roc_curve 0.9367808802478755 [0.936781,0.936781] average_cost 0 f_measure 0.9441223558106742 [0.957563,0.91858] kappa 0.8761454760228072 kb_relative_information_score 0.8711998239284662 mean_absolute_error 0.055793991416309016 mean_prior_absolute_error 0.4519499019385762 number_of_instances 699 [458,241] precision 0.9440769222885639 [0.954447,0.92437] predictive_accuracy 0.944206008583691 prior_entropy 0.92931856324281 recall 0.944206008583691 [0.960699,0.912863] relative_absolute_error 0.1234517170531257 root_mean_prior_squared_error 0.47529612442517866 root_mean_squared_error 0.23620751769642942 root_relative_squared_error 0.496969164186007 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 0.9565217391304348 [0.956522,0.956522] 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 0.9437562437562438 [0.954545,0.923077] 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 0.8780487804878049 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 0.8678336604620113 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 0.05714285714285714 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 0.9510204081632653 [1,0.857143] 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 0.942857142857143 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 0.9428571428571428 [0.913043,1] 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 0.12660285353079287 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 0.23904572186687872 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 0.5036039096844597 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 13.958942996396217 usercpu_time_millis 13.168842007871717 usercpu_time_millis 13.7781309967977 usercpu_time_millis 13.345981999009382 usercpu_time_millis 13.165445998311043 usercpu_time_millis 13.442221003060695 usercpu_time_millis 13.21746200119378 usercpu_time_millis 11.771518999012187 usercpu_time_millis 12.359204003587365 usercpu_time_millis 13.51063400215935 usercpu_time_millis_testing 1.0823459961102344 usercpu_time_millis_testing 1.1084300058428198 usercpu_time_millis_testing 1.0885489973588847 usercpu_time_millis_testing 1.1022449980373494 usercpu_time_millis_testing 1.063145995431114 usercpu_time_millis_testing 1.0851260012714192 usercpu_time_millis_testing 1.0532000014791265 usercpu_time_millis_testing 1.0362440007156692 usercpu_time_millis_testing 1.0135250049643219 usercpu_time_millis_testing 1.0515640024095774 usercpu_time_millis_training 12.876597000285983 usercpu_time_millis_training 12.060412002028897 usercpu_time_millis_training 12.689581999438815 usercpu_time_millis_training 12.243737000972033 usercpu_time_millis_training 12.102300002879929 usercpu_time_millis_training 12.357095001789276 usercpu_time_millis_training 12.164261999714654 usercpu_time_millis_training 10.735274998296518 usercpu_time_millis_training 11.345678998623043 usercpu_time_millis_training 12.459069999749772 wall_clock_time_millis 37.973642349243164 wall_clock_time_millis 13.18359375 wall_clock_time_millis 13.793230056762695 wall_clock_time_millis 13.360261917114258 wall_clock_time_millis 13.178586959838867 wall_clock_time_millis 13.453006744384766 wall_clock_time_millis 13.229608535766602 wall_clock_time_millis 11.783361434936523 wall_clock_time_millis 12.371063232421875 wall_clock_time_millis 13.521194458007812 wall_clock_time_millis_testing 1.0902881622314453 wall_clock_time_millis_testing 1.1150836944580078 wall_clock_time_millis_testing 1.0962486267089844 wall_clock_time_millis_testing 1.1098384857177734 wall_clock_time_millis_testing 1.0688304901123047 wall_clock_time_millis_testing 1.092672348022461 wall_clock_time_millis_testing 1.0602474212646484 wall_clock_time_millis_testing 1.0418891906738281 wall_clock_time_millis_testing 1.018524169921875 wall_clock_time_millis_testing 1.0576248168945312 wall_clock_time_millis_training 36.88335418701172 wall_clock_time_millis_training 12.068510055541992 wall_clock_time_millis_training 12.696981430053711 wall_clock_time_millis_training 12.250423431396484 wall_clock_time_millis_training 12.109756469726562 wall_clock_time_millis_training 12.360334396362305 wall_clock_time_millis_training 12.169361114501953 wall_clock_time_millis_training 10.741472244262695 wall_clock_time_millis_training 11.3525390625 wall_clock_time_millis_training 12.463569641113281