10328868 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) 8184492 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 0.9963167675010125 13389 cache_size 200 13389 class_weight null 13389 coef0 0.8350264578298481 13389 decision_function_shape "ovr" 13389 degree 2 13389 gamma 0.0015426280688508745 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 29834 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 21579424 description https://api.openml.org/data/download/21579424/description.xml -1 21579425 predictions https://api.openml.org/data/download/21579425/predictions.arff area_under_roc_curve 0.6313880597014926 [0.631388,0.631388] average_cost 0 f_measure 0.6891502064354308 [0.825234,0.435262] kappa 0.30906154548327053 kb_relative_information_score 0.3886164326320713 mean_absolute_error 0.2669270833333333 mean_prior_absolute_error 0.4544913419913401 number_of_instances 768 [500,268] precision 0.7583946749302677 [0.719168,0.831579] predictive_accuracy 0.7330729166666667 prior_entropy 0.9331348051619819 recall 0.7330729166666666 [0.968,0.294776] relative_absolute_error 0.5873095011310895 root_mean_prior_squared_error 0.4766409223329586 root_mean_squared_error 0.5166498653182185 root_relative_squared_error 1.0839393789132348 total_cost 0 area_under_roc_curve 0.6751851851851851 [0.675185,0.675185] area_under_roc_curve 0.6081481481481481 [0.608148,0.608148] area_under_roc_curve 0.6181481481481481 [0.618148,0.618148] area_under_roc_curve 0.5911111111111111 [0.591111,0.591111] area_under_roc_curve 0.6666666666666666 [0.666667,0.666667] area_under_roc_curve 0.6851851851851852 [0.685185,0.685185] area_under_roc_curve 0.6566666666666666 [0.656667,0.656667] area_under_roc_curve 0.5640740740740741 [0.564074,0.564074] area_under_roc_curve 0.6238461538461538 [0.623846,0.623846] area_under_roc_curve 0.6246153846153846 [0.624615,0.624615] 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 0.7331416315082376 [0.844828,0.526316] f_measure 0.6633366633366634 [0.8,0.410256] f_measure 0.6738397718434016 [0.810345,0.421053] f_measure 0.6440685365055113 [0.806723,0.342857] f_measure 0.7256218357913273 [0.847458,0.5] f_measure 0.7445407445407446 [0.854701,0.540541] f_measure 0.7144867144867144 [0.837607,0.486486] f_measure 0.6092718756653183 [0.803279,0.25] f_measure 0.6856948481662439 [0.817391,0.432432] f_measure 0.6872540273915098 [0.830508,0.411765] kappa 0.4056603773584906 kappa 0.24798301486199587 kappa 0.27358490566037735 kappa 0.2174105170128148 kappa 0.39370078740157494 kappa 0.43308791684712006 kappa 0.3663923776526636 kappa 0.1577028258887875 kappa 0.2875 kappa 0.29889298892988914 kb_relative_information_score 0.4654388992464511 kb_relative_information_score 0.316949704592687 kb_relative_information_score 0.3466475435234399 kb_relative_information_score 0.316949704592687 kb_relative_information_score 0.4654388992464512 kb_relative_information_score 0.4951367381772039 kb_relative_information_score 0.4357410603156985 kb_relative_information_score 0.28725186566193417 kb_relative_information_score 0.36291417436267875 kb_relative_information_score 0.39325159463112286 mean_absolute_error 0.23376623376623376 mean_absolute_error 0.2987012987012987 mean_absolute_error 0.2857142857142857 mean_absolute_error 0.2987012987012987 mean_absolute_error 0.23376623376623376 mean_absolute_error 0.22077922077922077 mean_absolute_error 0.24675324675324675 mean_absolute_error 0.3116883116883117 mean_absolute_error 0.27631578947368424 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 0.800865800865801 [0.742424,0.909091] precision 0.6933066933066934 [0.707692,0.666667] precision 0.7174340810704448 [0.712121,0.727273] precision 0.7147092038396387 [0.695652,0.75] precision 0.828113063407181 [0.735294,1] precision 0.8352393874781934 [0.746269,1] precision 0.7904826516766815 [0.731343,0.9] precision 0.7224386724386724 [0.680556,0.8] precision 0.7245123297754877 [0.723077,0.727273] precision 0.7734133126934984 [0.720588,0.875] predictive_accuracy 0.7662337662337663 predictive_accuracy 0.7012987012987013 predictive_accuracy 0.7142857142857143 predictive_accuracy 0.7012987012987013 predictive_accuracy 0.7662337662337663 predictive_accuracy 0.7792207792207791 predictive_accuracy 0.7532467532467533 predictive_accuracy 0.6883116883116882 predictive_accuracy 0.7236842105263157 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 0.7662337662337663 [0.98,0.37037] recall 0.7012987012987013 [0.92,0.296296] recall 0.7142857142857143 [0.94,0.296296] recall 0.7012987012987013 [0.96,0.222222] recall 0.7662337662337663 [1,0.333333] recall 0.7792207792207793 [1,0.37037] recall 0.7532467532467533 [0.98,0.333333] recall 0.6883116883116883 [0.98,0.148148] recall 0.7236842105263158 [0.94,0.307692] recall 0.7368421052631579 [0.98,0.269231] relative_absolute_error 0.5137709901026793 relative_absolute_error 0.6564851540200902 relative_absolute_error 0.6279423212366081 relative_absolute_error 0.6564851540200902 relative_absolute_error 0.5137709901026793 relative_absolute_error 0.4852281573191972 relative_absolute_error 0.5423138228861615 relative_absolute_error 0.6850279868035726 relative_absolute_error 0.6107418038978688 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 0.48349377841522817 root_mean_squared_error 0.5465357250000211 root_mean_squared_error 0.5345224838248488 root_mean_squared_error 0.5465357250000211 root_mean_squared_error 0.48349377841522817 root_mean_squared_error 0.4698714938993648 root_mean_squared_error 0.496742636335202 root_mean_squared_error 0.5582905262390825 root_mean_squared_error 0.5256574830378469 root_mean_squared_error 0.512989176042577 root_relative_squared_error 1.0132418574973725 root_relative_squared_error 1.1453567717103283 root_relative_squared_error 1.1201810210671799 root_relative_squared_error 1.1453567717103283 root_relative_squared_error 1.0132418574973725 root_relative_squared_error 0.9846940881518128 root_relative_squared_error 1.0410070491251833 root_relative_squared_error 1.169990918360609 root_relative_squared_error 1.1078835791520962 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 31.220967997796834 usercpu_time_millis 30.496835010126233 usercpu_time_millis 30.618247008533217 usercpu_time_millis 30.632656009402126 usercpu_time_millis 30.87251100805588 usercpu_time_millis 32.59132901439443 usercpu_time_millis 31.744460997288115 usercpu_time_millis 32.993900997098535 usercpu_time_millis 31.126967005548067 usercpu_time_millis 30.724384996574372 usercpu_time_millis_testing 3.1731909984955564 usercpu_time_millis_testing 2.9577380046248436 usercpu_time_millis_testing 2.9490669985534623 usercpu_time_millis_testing 2.979190001497045 usercpu_time_millis_testing 3.012204004335217 usercpu_time_millis_testing 2.9715700075030327 usercpu_time_millis_testing 3.000172000611201 usercpu_time_millis_testing 3.014736998011358 usercpu_time_millis_testing 2.9326460062293336 usercpu_time_millis_testing 2.924001993960701 usercpu_time_millis_training 28.047776999301277 usercpu_time_millis_training 27.53909700550139 usercpu_time_millis_training 27.669180009979755 usercpu_time_millis_training 27.65346600790508 usercpu_time_millis_training 27.860307003720663 usercpu_time_millis_training 29.6197590068914 usercpu_time_millis_training 28.744288996676914 usercpu_time_millis_training 29.979163999087177 usercpu_time_millis_training 28.194320999318734 usercpu_time_millis_training 27.80038300261367 wall_clock_time_millis 63.23742866516113 wall_clock_time_millis 30.514955520629883 wall_clock_time_millis 30.636072158813477 wall_clock_time_millis 30.650854110717773 wall_clock_time_millis 30.88998794555664 wall_clock_time_millis 32.608985900878906 wall_clock_time_millis 63.76361846923828 wall_clock_time_millis 49.00693893432617 wall_clock_time_millis 31.170129776000977 wall_clock_time_millis 30.740022659301758 wall_clock_time_millis_testing 3.1828880310058594 wall_clock_time_millis_testing 2.967357635498047 wall_clock_time_millis_testing 2.9592514038085938 wall_clock_time_millis_testing 2.9883384704589844 wall_clock_time_millis_testing 3.020763397216797 wall_clock_time_millis_testing 2.980470657348633 wall_clock_time_millis_testing 3.0059814453125 wall_clock_time_millis_testing 3.023862838745117 wall_clock_time_millis_testing 2.938985824584961 wall_clock_time_millis_testing 2.9304027557373047 wall_clock_time_millis_training 60.05454063415527 wall_clock_time_millis_training 27.547597885131836 wall_clock_time_millis_training 27.676820755004883 wall_clock_time_millis_training 27.66251564025879 wall_clock_time_millis_training 27.869224548339844 wall_clock_time_millis_training 29.628515243530273 wall_clock_time_millis_training 60.75763702392578 wall_clock_time_millis_training 45.983076095581055 wall_clock_time_millis_training 28.231143951416016 wall_clock_time_millis_training 27.809619903564453