10498495 8323 Heinrich Peters 37 Supervised Classification 18601 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(2) 8275618 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "median" 12737 verbose 0 12737 C 0.001 13106 class_weight null 13106 dual false 13106 fit_intercept true 13106 intercept_scaling 1 13106 l1_ratio null 13106 max_iter 10000 13106 multi_class "warn" 13106 n_jobs null 13106 penalty "l2" 13106 random_state 1 13106 solver "lbfgs" 13106 tol 0.0001 13106 verbose 0 13106 warm_start false 13106 copy true 13294 with_mean true 13294 with_std true 13294 memory null 18601 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": "logisticregression", "step_name": "logisticregression"}}] 18601 verbose false 18601 openml-python Sklearn_0.21.2. 37 diabetes https://www.openml.org/data/download/37/dataset_37_diabetes.arff -1 21921939 description https://api.openml.org/data/download/21921939/description.xml -1 21921940 predictions https://api.openml.org/data/download/21921940/predictions.arff area_under_roc_curve 0.8150895522388059 [0.81509,0.81509] average_cost 0 f_measure 0.5158072962377859 [0.78831,0.007407] kappa 0.0022492825564259323 kb_relative_information_score 0.07203925928505324 mean_absolute_error 0.4287349303569101 mean_prior_absolute_error 0.4544913419913401 weighted_recall 0.6510416666666666 [0.998,0.003731] number_of_instances 768 [500,268] precision 0.5985911662315057 [0.651436,0.5] predictive_accuracy 0.6510416666666667 prior_entropy 0.9331348051619819 relative_absolute_error 0.9433291478742389 root_mean_prior_squared_error 0.4766409223329586 root_mean_squared_error 0.4520472573694399 root_relative_squared_error 0.9484021119228643 total_cost 0 unweighted_recall 0.5008656716417911 [0.998,0.003731] area_under_roc_curve 0.8977777777777779 [0.897778,0.897778] area_under_roc_curve 0.7103703703703703 [0.71037,0.71037] area_under_roc_curve 0.8207407407407407 [0.820741,0.820741] area_under_roc_curve 0.7711111111111111 [0.771111,0.771111] area_under_roc_curve 0.7718518518518519 [0.771852,0.771852] area_under_roc_curve 0.8800000000000001 [0.88,0.88] area_under_roc_curve 0.8133333333333334 [0.813333,0.813333] area_under_roc_curve 0.8555555555555556 [0.855556,0.855556] area_under_roc_curve 0.8392307692307692 [0.839231,0.839231] area_under_roc_curve 0.81 [0.81,0.81] 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 0.505050505050505 [0.777778,0] f_measure 0.5404040404040404 [0.793651,0.071429] kappa 0 kappa -0.025689819219790785 kappa 0 kappa 0.04757373929590858 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kb_relative_information_score 0.09348956605571677 kb_relative_information_score 0.03969327641386908 kb_relative_information_score 0.06830463180790408 kb_relative_information_score 0.0670713133084248 kb_relative_information_score 0.06686606575829704 kb_relative_information_score 0.07990815550281039 kb_relative_information_score 0.07577124009391543 kb_relative_information_score 0.07951784017307824 kb_relative_information_score 0.076002346078557 kb_relative_information_score 0.07389074191385425 mean_absolute_error 0.4227791800742425 mean_absolute_error 0.4389151532292925 mean_absolute_error 0.4294961313670655 mean_absolute_error 0.4292273947718588 mean_absolute_error 0.431875814341795 mean_absolute_error 0.42920956798199356 mean_absolute_error 0.4278133418469397 mean_absolute_error 0.42692528545288994 mean_absolute_error 0.4247434860414367 mean_absolute_error 0.4262802323272331 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.45242652084757423 mean_prior_absolute_error 0.45242652084757423 number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 76 [50,26] number_of_instances 76 [50,26] precision 0.41866028708133973 [0.644737,0] precision 0.7778537252221464 [0.657895,1] predictive_accuracy 0.6493506493506493 predictive_accuracy 0.6363636363636364 predictive_accuracy 0.6493506493506493 predictive_accuracy 0.6623376623376623 predictive_accuracy 0.6493506493506493 predictive_accuracy 0.6493506493506493 predictive_accuracy 0.6493506493506493 predictive_accuracy 0.6493506493506493 predictive_accuracy 0.6578947368421052 predictive_accuracy 0.6578947368421052 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9269862002370954 prior_entropy 0.9269862002370954 relative_absolute_error 0.9291832889721542 relative_absolute_error 0.964646900506532 relative_absolute_error 0.9439457919247239 relative_absolute_error 0.9433551631398405 relative_absolute_error 0.9491758547030801 relative_absolute_error 0.9433159834545118 relative_absolute_error 0.9402473602737526 relative_absolute_error 0.9382955915966122 relative_absolute_error 0.9388120865366685 relative_absolute_error 0.942208762493943 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4744699650121647 root_mean_prior_squared_error 0.4744699650121647 root_mean_squared_error 0.44388623714992603 root_mean_squared_error 0.4638620121276876 root_mean_squared_error 0.4531804302219645 root_mean_squared_error 0.455360429110689 root_mean_squared_error 0.4550382007270941 root_mean_squared_error 0.44819913677030576 root_mean_squared_error 0.4520493172801457 root_mean_squared_error 0.4503576426509193 root_mean_squared_error 0.4478546694420506 root_mean_squared_error 0.45031401354939327 root_relative_squared_error 0.9302376483964794 root_relative_squared_error 0.9721002167417417 root_relative_squared_error 0.9497151802131636 root_relative_squared_error 0.9542837314995805 root_relative_squared_error 0.9536084481753518 root_relative_squared_error 0.9392760489253901 root_relative_squared_error 0.9473447443784679 root_relative_squared_error 0.9437995580283627 root_relative_squared_error 0.9439052046857556 root_relative_squared_error 0.9490885551372 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 unweighted_recall 0.5 [1,0] unweighted_recall 0.49 [0.98,0] unweighted_recall 0.5 [1,0] unweighted_recall 0.5185185185185185 [1,0.037037] unweighted_recall 0.5 [1,0] unweighted_recall 0.5 [1,0] unweighted_recall 0.5 [1,0] unweighted_recall 0.5 [1,0] unweighted_recall 0.5 [1,0] unweighted_recall 0.5 [1,0] usercpu_time_millis 7.371286999841686 usercpu_time_millis 7.389681006316096 usercpu_time_millis 7.411555998260155 usercpu_time_millis 7.308196007215884 usercpu_time_millis 6.58041299902834 usercpu_time_millis 7.037651004793588 usercpu_time_millis 6.578023996553384 usercpu_time_millis 6.59581899526529 usercpu_time_millis 6.537442000990268 usercpu_time_millis 6.626706999668386 usercpu_time_millis_testing 0.4767930004163645 usercpu_time_millis_testing 0.47071700100786984 usercpu_time_millis_testing 0.520207999215927 usercpu_time_millis_testing 0.46403900341829285 usercpu_time_millis_testing 0.4171230029896833 usercpu_time_millis_testing 0.43251900206087157 usercpu_time_millis_testing 0.43986799573758617 usercpu_time_millis_testing 0.4276330000720918 usercpu_time_millis_testing 0.422060998971574 usercpu_time_millis_testing 0.45095600216882303 usercpu_time_millis_training 6.894493999425322 usercpu_time_millis_training 6.918964005308226 usercpu_time_millis_training 6.891347999044228 usercpu_time_millis_training 6.844157003797591 usercpu_time_millis_training 6.163289996038657 usercpu_time_millis_training 6.6051320027327165 usercpu_time_millis_training 6.138156000815798 usercpu_time_millis_training 6.168185995193198 usercpu_time_millis_training 6.115381002018694 usercpu_time_millis_training 6.175750997499563 wall_clock_time_millis 7.37762451171875 wall_clock_time_millis 7.394552230834961 wall_clock_time_millis 7.419824600219727 wall_clock_time_millis 7.311582565307617 wall_clock_time_millis 6.584405899047852 wall_clock_time_millis 7.038116455078125 wall_clock_time_millis 6.582736968994141 wall_clock_time_millis 6.60395622253418 wall_clock_time_millis 6.538629531860352 wall_clock_time_millis 6.661415100097656 wall_clock_time_millis_testing 0.48041343688964844 wall_clock_time_millis_testing 0.4737377166748047 wall_clock_time_millis_testing 0.5235671997070312 wall_clock_time_millis_testing 0.4673004150390625 wall_clock_time_millis_testing 0.41961669921875 wall_clock_time_millis_testing 0.43511390686035156 wall_clock_time_millis_testing 0.44226646423339844 wall_clock_time_millis_testing 0.4303455352783203 wall_clock_time_millis_testing 0.42438507080078125 wall_clock_time_millis_testing 0.453948974609375 wall_clock_time_millis_training 6.897211074829102 wall_clock_time_millis_training 6.920814514160156 wall_clock_time_millis_training 6.896257400512695 wall_clock_time_millis_training 6.844282150268555 wall_clock_time_millis_training 6.164789199829102 wall_clock_time_millis_training 6.603002548217773 wall_clock_time_millis_training 6.140470504760742 wall_clock_time_millis_training 6.173610687255859 wall_clock_time_millis_training 6.11424446105957 wall_clock_time_millis_training 6.207466125488281 weighted_recall 0.6493506493506493 [1,0] weighted_recall 0.6363636363636364 [0.98,0] weighted_recall 0.6493506493506493 [1,0] weighted_recall 0.6623376623376623 [1,0.037037] weighted_recall 0.6493506493506493 [1,0] weighted_recall 0.6493506493506493 [1,0] weighted_recall 0.6493506493506493 [1,0] weighted_recall 0.6493506493506493 [1,0] weighted_recall 0.6578947368421053 [1,0] weighted_recall 0.6578947368421053 [1,0]