10328725 8323 Heinrich Peters 37 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8184349 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 2.1952612603322996 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.08285835069252112 13389 decision_function_shape "ovr" 13389 degree 2 13389 gamma 5.217284431214832 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 35707 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. 37 diabetes https://www.openml.org/data/download/37/dataset_37_diabetes.arff -1 21579138 description https://api.openml.org/data/download/21579138/description.xml -1 21579139 predictions https://api.openml.org/data/download/21579139/predictions.arff area_under_roc_curve 0.4984626865671642 [0.498463,0.498463] average_cost 0 f_measure 0.5193554075512895 [0.78247,0.02847] kappa -0.003945604290365795 kb_relative_information_score 0.18581602979782996 mean_absolute_error 0.35546875 mean_prior_absolute_error 0.4544913419913401 number_of_instances 768 [500,268] precision 0.530764454915945 [0.650331,0.307692] predictive_accuracy 0.64453125 prior_entropy 0.9331348051619819 recall 0.64453125 [0.982,0.014925] relative_absolute_error 0.7821243600428655 root_mean_prior_squared_error 0.4766409223329586 root_mean_squared_error 0.596212000885591 root_relative_squared_error 1.2508619653708746 total_cost 0 area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5185185185185185 [0.518519,0.518519] area_under_roc_curve 0.5085185185185185 [0.508519,0.508519] area_under_roc_curve 0.5185185185185185 [0.518519,0.518519] area_under_roc_curve 0.48000000000000004 [0.48,0.48] area_under_roc_curve 0.49000000000000005 [0.49,0.49] area_under_roc_curve 0.49000000000000005 [0.49,0.49] area_under_roc_curve 0.48000000000000004 [0.48,0.48] area_under_roc_curve 0.49000000000000005 [0.49,0.49] area_under_roc_curve 0.5092307692307693 [0.509231,0.509231] 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 0.5404040404040404 [0.793651,0.071429] f_measure 0.5332736229287953 [0.784,0.068966] f_measure 0.5404040404040404 [0.793651,0.071429] f_measure 0.4987012987012987 [0.768,0] f_measure 0.505050505050505 [0.777778,0] f_measure 0.505050505050505 [0.777778,0] f_measure 0.4987012987012987 [0.768,0] f_measure 0.5157894736842106 [0.784,0] f_measure 0.5443851564394858 [0.790323,0.071429] kappa 0 kappa 0.04757373929590858 kappa 0.021647058823529533 kappa 0.04757373929590858 kappa -0.0508235294117646 kappa -0.025689819219790785 kappa -0.025689819219790785 kappa -0.0508235294117646 kappa -0.02599999999999991 kappa 0.023715415019762938 kb_relative_information_score 0.19815834886967554 kb_relative_information_score 0.22785618780042838 kb_relative_information_score 0.19815834886967554 kb_relative_information_score 0.22785618780042838 kb_relative_information_score 0.13876267100816986 kb_relative_information_score 0.16846050993892273 kb_relative_information_score 0.16846050993892273 kb_relative_information_score 0.13876267100816986 kb_relative_information_score 0.18088965275201482 kb_relative_information_score 0.2112270730204588 mean_absolute_error 0.35064935064935066 mean_absolute_error 0.33766233766233766 mean_absolute_error 0.35064935064935066 mean_absolute_error 0.33766233766233766 mean_absolute_error 0.37662337662337664 mean_absolute_error 0.36363636363636365 mean_absolute_error 0.36363636363636365 mean_absolute_error 0.37662337662337664 mean_absolute_error 0.35526315789473684 mean_absolute_error 0.34210526315789475 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 0.7778537252221464 [0.657895,1] precision 0.5995670995670995 [0.653333,0.5] precision 0.7778537252221464 [0.657895,1] precision 0.4155844155844156 [0.64,0] precision 0.41866028708133973 [0.644737,0] precision 0.41866028708133973 [0.644737,0] precision 0.4155844155844156 [0.64,0] precision 0.4298245614035087 [0.653333,0] precision 0.6066856330014224 [0.662162,0.5] predictive_accuracy 0.6493506493506493 predictive_accuracy 0.6623376623376623 predictive_accuracy 0.6493506493506493 predictive_accuracy 0.6623376623376623 predictive_accuracy 0.6233766233766234 predictive_accuracy 0.6363636363636364 predictive_accuracy 0.6363636363636364 predictive_accuracy 0.6233766233766234 predictive_accuracy 0.6447368421052632 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 recall 0.6493506493506493 [1,0] recall 0.6623376623376623 [1,0.037037] recall 0.6493506493506493 [0.98,0.037037] recall 0.6623376623376623 [1,0.037037] recall 0.6233766233766234 [0.96,0] recall 0.6363636363636364 [0.98,0] recall 0.6363636363636364 [0.98,0] recall 0.6233766233766234 [0.96,0] recall 0.6447368421052632 [0.98,0] recall 0.6578947368421053 [0.98,0.038462] relative_absolute_error 0.7706564851540191 relative_absolute_error 0.742113652370537 relative_absolute_error 0.7706564851540191 relative_absolute_error 0.742113652370537 relative_absolute_error 0.8277421507209834 relative_absolute_error 0.7991993179375014 relative_absolute_error 0.7991993179375014 relative_absolute_error 0.8277421507209834 relative_absolute_error 0.7852394621544028 relative_absolute_error 0.756156519111647 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 0.592156525463792 root_mean_squared_error 0.5810872031479765 root_mean_squared_error 0.592156525463792 root_mean_squared_error 0.5810872031479765 root_mean_squared_error 0.6136964857512031 root_mean_squared_error 0.6030226891555273 root_mean_squared_error 0.6030226891555273 root_mean_squared_error 0.6136964857512031 root_mean_squared_error 0.5960395606792697 root_mean_squared_error 0.5848976518656018 root_relative_squared_error 1.2409627684491944 root_relative_squared_error 1.217765157217718 root_relative_squared_error 1.2409627684491944 root_relative_squared_error 1.217765157217718 root_relative_squared_error 1.28610334801068 root_relative_squared_error 1.2637346268978644 root_relative_squared_error 1.2637346268978644 root_relative_squared_error 1.28610334801068 root_relative_squared_error 1.2562218994493952 root_relative_squared_error 1.2327390456645784 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 52.6626559876604 usercpu_time_millis 53.35417599417269 usercpu_time_millis 53.78258899145294 usercpu_time_millis 53.716306007117964 usercpu_time_millis 52.06769199867267 usercpu_time_millis 52.74836999888066 usercpu_time_millis 52.18564700044226 usercpu_time_millis 52.98132800089661 usercpu_time_millis 53.1079719949048 usercpu_time_millis 53.418782001244836 usercpu_time_millis_testing 4.041391992359422 usercpu_time_millis_testing 4.0221929957624525 usercpu_time_millis_testing 4.075491000548936 usercpu_time_millis_testing 4.022749999421649 usercpu_time_millis_testing 4.021644999738783 usercpu_time_millis_testing 4.002880988991819 usercpu_time_millis_testing 4.003334004664794 usercpu_time_millis_testing 4.010899006971158 usercpu_time_millis_testing 3.9761170046404004 usercpu_time_millis_testing 3.9956919936230406 usercpu_time_millis_training 48.62126399530098 usercpu_time_millis_training 49.33198299841024 usercpu_time_millis_training 49.707097990904 usercpu_time_millis_training 49.693556007696316 usercpu_time_millis_training 48.04604699893389 usercpu_time_millis_training 48.74548900988884 usercpu_time_millis_training 48.182312995777465 usercpu_time_millis_training 48.97042899392545 usercpu_time_millis_training 49.1318549902644 usercpu_time_millis_training 49.423090007621795 wall_clock_time_millis 52.72388458251953 wall_clock_time_millis 53.46107482910156 wall_clock_time_millis 53.804636001586914 wall_clock_time_millis 53.74026298522949 wall_clock_time_millis 52.08945274353027 wall_clock_time_millis 52.787065505981445 wall_clock_time_millis 52.233219146728516 wall_clock_time_millis 53.04288864135742 wall_clock_time_millis 53.14230918884277 wall_clock_time_millis 53.517818450927734 wall_clock_time_millis_testing 4.053354263305664 wall_clock_time_millis_testing 4.034280776977539 wall_clock_time_millis_testing 4.08625602722168 wall_clock_time_millis_testing 4.035711288452148 wall_clock_time_millis_testing 4.032373428344727 wall_clock_time_millis_testing 4.015445709228516 wall_clock_time_millis_testing 4.0149688720703125 wall_clock_time_millis_testing 4.024267196655273 wall_clock_time_millis_testing 3.986835479736328 wall_clock_time_millis_testing 4.006624221801758 wall_clock_time_millis_training 48.67053031921387 wall_clock_time_millis_training 49.42679405212402 wall_clock_time_millis_training 49.718379974365234 wall_clock_time_millis_training 49.704551696777344 wall_clock_time_millis_training 48.05707931518555 wall_clock_time_millis_training 48.77161979675293 wall_clock_time_millis_training 48.2182502746582 wall_clock_time_millis_training 49.01862144470215 wall_clock_time_millis_training 49.155473709106445 wall_clock_time_millis_training 49.51119422912598