10328831 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) 8184455 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 7.013344375249213 13389 cache_size 200 13389 class_weight null 13389 coef0 0.4986025326959227 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.14201683116848024 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 65372 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 21579350 description https://api.openml.org/data/download/21579350/description.xml -1 21579351 predictions https://api.openml.org/data/download/21579351/predictions.arff area_under_roc_curve 0.712044776119403 [0.712045,0.712045] average_cost 0 f_measure 0.7471164261606867 [0.815102,0.620278] kappa 0.4365608579418001 kb_relative_information_score 0.43036945674500315 mean_absolute_error 0.24869791666666666 mean_prior_absolute_error 0.4544913419913401 number_of_instances 768 [500,268] precision 0.7458863501789682 [0.789869,0.66383] predictive_accuracy 0.7513020833333333 prior_entropy 0.9331348051619819 recall 0.7513020833333334 [0.842,0.58209] relative_absolute_error 0.5472005595904297 root_mean_prior_squared_error 0.4766409223329586 root_mean_squared_error 0.49869621681607595 root_relative_squared_error 1.04627234769345 total_cost 0 area_under_roc_curve 0.7448148148148148 [0.744815,0.744815] area_under_roc_curve 0.6407407407407407 [0.640741,0.640741] area_under_roc_curve 0.7333333333333333 [0.733333,0.733333] area_under_roc_curve 0.6907407407407409 [0.690741,0.690741] area_under_roc_curve 0.6677777777777778 [0.667778,0.667778] area_under_roc_curve 0.7818518518518518 [0.781852,0.781852] area_under_roc_curve 0.6692592592592592 [0.669259,0.669259] area_under_roc_curve 0.8033333333333333 [0.803333,0.803333] area_under_roc_curve 0.68 [0.68,0.68] area_under_roc_curve 0.7076923076923078 [0.707692,0.707692] 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 0.7759425040978439 [0.834951,0.666667] f_measure 0.6818381618381618 [0.769231,0.52] f_measure 0.754243736061918 [0.808081,0.654545] f_measure 0.7387584892172047 [0.825688,0.577778] f_measure 0.6999594838190019 [0.772277,0.566038] f_measure 0.8043214024906533 [0.851485,0.716981] f_measure 0.7083516483516483 [0.788462,0.56] f_measure 0.8388262680715511 [0.886792,0.75] f_measure 0.7271274988126593 [0.811321,0.565217] f_measure 0.736842105263158 [0.8,0.615385] kappa 0.5024705435195743 kappa 0.2914110429447853 kappa 0.46272493573264784 kappa 0.4131568391496189 kappa 0.3384385506163617 kappa 0.5685468808367576 kappa 0.3504601226993866 kappa 0.6393442622950818 kappa 0.38110749185667747 kappa 0.41538461538461535 kb_relative_information_score 0.49513673817720344 kb_relative_information_score 0.28725186566193417 kb_relative_information_score 0.4357410603156983 kb_relative_information_score 0.4357410603156983 kb_relative_information_score 0.3169497045926869 kb_relative_information_score 0.5545324160387091 kb_relative_information_score 0.34664754352343985 kb_relative_information_score 0.6436259328309668 kb_relative_information_score 0.3932515946311228 kb_relative_information_score 0.3932515946311228 mean_absolute_error 0.22077922077922077 mean_absolute_error 0.3116883116883117 mean_absolute_error 0.24675324675324675 mean_absolute_error 0.24675324675324675 mean_absolute_error 0.2987012987012987 mean_absolute_error 0.19480519480519481 mean_absolute_error 0.2857142857142857 mean_absolute_error 0.15584415584415584 mean_absolute_error 0.2631578947368421 mean_absolute_error 0.2631578947368421 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 0.775208282283754 [0.811321,0.708333] precision 0.6791935922370705 [0.740741,0.565217] precision 0.755499602438378 [0.816327,0.642857] precision 0.74851419766674 [0.762712,0.722222] precision 0.6988599635658459 [0.764706,0.576923] precision 0.8037354802060683 [0.843137,0.730769] precision 0.7064642282033586 [0.759259,0.608696] precision 0.8455473098330242 [0.839286,0.857143] precision 0.7275375939849624 [0.767857,0.65] precision 0.7368421052631579 [0.8,0.615385] predictive_accuracy 0.7792207792207791 predictive_accuracy 0.6883116883116882 predictive_accuracy 0.7532467532467533 predictive_accuracy 0.7532467532467533 predictive_accuracy 0.7012987012987013 predictive_accuracy 0.8051948051948052 predictive_accuracy 0.7142857142857143 predictive_accuracy 0.8441558441558442 predictive_accuracy 0.736842105263158 predictive_accuracy 0.736842105263158 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 0.7792207792207793 [0.86,0.62963] recall 0.6883116883116883 [0.8,0.481481] recall 0.7532467532467533 [0.8,0.666667] recall 0.7532467532467533 [0.9,0.481481] recall 0.7012987012987013 [0.78,0.555556] recall 0.8051948051948052 [0.86,0.703704] recall 0.7142857142857143 [0.82,0.518519] recall 0.8441558441558441 [0.94,0.666667] recall 0.7368421052631579 [0.86,0.5] recall 0.7368421052631579 [0.8,0.615385] relative_absolute_error 0.4852281573191972 relative_absolute_error 0.6850279868035726 relative_absolute_error 0.5423138228861615 relative_absolute_error 0.5423138228861615 relative_absolute_error 0.6564851540200902 relative_absolute_error 0.4281424917522329 relative_absolute_error 0.6279423212366081 relative_absolute_error 0.3425139934017863 relative_absolute_error 0.581658860855113 relative_absolute_error 0.581658860855113 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 0.4698714938993648 root_mean_squared_error 0.5582905262390825 root_mean_squared_error 0.496742636335202 root_mean_squared_error 0.496742636335202 root_mean_squared_error 0.5465357250000211 root_mean_squared_error 0.4413674147523748 root_mean_squared_error 0.5345224838248488 root_mean_squared_error 0.39477101697586137 root_mean_squared_error 0.512989176042577 root_mean_squared_error 0.512989176042577 root_relative_squared_error 0.9846940881518128 root_relative_squared_error 1.169990918360609 root_relative_squared_error 1.0410070491251833 root_relative_squared_error 1.0410070491251833 root_relative_squared_error 1.1453567717103283 root_relative_squared_error 0.9249590359329101 root_relative_squared_error 1.1201810210671799 root_relative_squared_error 0.827308512299463 root_relative_squared_error 1.0811836657130123 root_relative_squared_error 1.0811836657130123 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 36.0312709963182 usercpu_time_millis 35.31579999253154 usercpu_time_millis 36.57839600055013 usercpu_time_millis 36.845799011643976 usercpu_time_millis 36.51631700631697 usercpu_time_millis 37.91174400248565 usercpu_time_millis 37.10743000556249 usercpu_time_millis 38.27712999191135 usercpu_time_millis 36.79195498989429 usercpu_time_millis 36.51459299726412 usercpu_time_millis_testing 2.6960060058627278 usercpu_time_millis_testing 2.502831004676409 usercpu_time_millis_testing 2.597676997538656 usercpu_time_millis_testing 2.6302500045858324 usercpu_time_millis_testing 2.6023829996120185 usercpu_time_millis_testing 2.6671399973565713 usercpu_time_millis_testing 2.5872700061881915 usercpu_time_millis_testing 2.567371993791312 usercpu_time_millis_testing 2.571131000877358 usercpu_time_millis_testing 2.5471190019743517 usercpu_time_millis_training 33.33526499045547 usercpu_time_millis_training 32.81296898785513 usercpu_time_millis_training 33.98071900301147 usercpu_time_millis_training 34.215549007058144 usercpu_time_millis_training 33.91393400670495 usercpu_time_millis_training 35.24460400512908 usercpu_time_millis_training 34.5201599993743 usercpu_time_millis_training 35.70975799812004 usercpu_time_millis_training 34.220823989016935 usercpu_time_millis_training 33.967473995289765 wall_clock_time_millis 36.05151176452637 wall_clock_time_millis 35.33220291137695 wall_clock_time_millis 36.67116165161133 wall_clock_time_millis 36.86332702636719 wall_clock_time_millis 36.55099868774414 wall_clock_time_millis 37.961483001708984 wall_clock_time_millis 37.139892578125 wall_clock_time_millis 38.29479217529297 wall_clock_time_millis 36.82446479797363 wall_clock_time_millis 68.52459907531738 wall_clock_time_millis_testing 2.705812454223633 wall_clock_time_millis_testing 2.511262893676758 wall_clock_time_millis_testing 2.6094913482666016 wall_clock_time_millis_testing 2.6397705078125 wall_clock_time_millis_testing 2.614259719848633 wall_clock_time_millis_testing 2.6781558990478516 wall_clock_time_millis_testing 2.5975704193115234 wall_clock_time_millis_testing 2.576112747192383 wall_clock_time_millis_testing 2.580404281616211 wall_clock_time_millis_testing 2.5560855865478516 wall_clock_time_millis_training 33.345699310302734 wall_clock_time_millis_training 32.820940017700195 wall_clock_time_millis_training 34.06167030334473 wall_clock_time_millis_training 34.22355651855469 wall_clock_time_millis_training 33.93673896789551 wall_clock_time_millis_training 35.28332710266113 wall_clock_time_millis_training 34.54232215881348 wall_clock_time_millis_training 35.718679428100586 wall_clock_time_millis_training 34.24406051635742 wall_clock_time_millis_training 65.96851348876953