10328717 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) 8184341 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 0.17955924077736077 13389 cache_size 200 13389 class_weight null 13389 coef0 0.9087481271015305 13389 decision_function_shape "ovr" 13389 degree 2 13389 gamma 0.7901091993219369 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 52973 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 21579122 description https://api.openml.org/data/download/21579122/description.xml -1 21579123 predictions https://api.openml.org/data/download/21579123/predictions.arff area_under_roc_curve 0.5 [0.5,0.5] average_cost 0 kappa 0 kb_relative_information_score 0.20072782412387716 mean_absolute_error 0.3489583333333333 mean_prior_absolute_error 0.4544913419913401 number_of_instances 768 [500,268] predictive_accuracy 0.6510416666666667 prior_entropy 0.9331348051619819 recall 0.6510416666666666 [1,0] relative_absolute_error 0.7677997380640583 root_mean_prior_squared_error 0.4766409223329586 root_mean_squared_error 0.590726953281576 root_relative_squared_error 1.2393542509741164 total_cost 0 area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] 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 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kb_relative_information_score 0.19815834886967554 kb_relative_information_score 0.19815834886967554 kb_relative_information_score 0.19815834886967554 kb_relative_information_score 0.19815834886967554 kb_relative_information_score 0.19815834886967554 kb_relative_information_score 0.19815834886967554 kb_relative_information_score 0.19815834886967554 kb_relative_information_score 0.19815834886967554 kb_relative_information_score 0.2112270730204588 kb_relative_information_score 0.2112270730204588 mean_absolute_error 0.35064935064935066 mean_absolute_error 0.35064935064935066 mean_absolute_error 0.35064935064935066 mean_absolute_error 0.35064935064935066 mean_absolute_error 0.35064935064935066 mean_absolute_error 0.35064935064935066 mean_absolute_error 0.35064935064935066 mean_absolute_error 0.35064935064935066 mean_absolute_error 0.34210526315789475 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] predictive_accuracy 0.6493506493506493 predictive_accuracy 0.6493506493506493 predictive_accuracy 0.6493506493506493 predictive_accuracy 0.6493506493506493 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 recall 0.6493506493506493 [1,0] recall 0.6493506493506493 [1,0] recall 0.6493506493506493 [1,0] recall 0.6493506493506493 [1,0] recall 0.6493506493506493 [1,0] recall 0.6493506493506493 [1,0] recall 0.6493506493506493 [1,0] recall 0.6493506493506493 [1,0] recall 0.6578947368421053 [1,0] recall 0.6578947368421053 [1,0] relative_absolute_error 0.7706564851540191 relative_absolute_error 0.7706564851540191 relative_absolute_error 0.7706564851540191 relative_absolute_error 0.7706564851540191 relative_absolute_error 0.7706564851540191 relative_absolute_error 0.7706564851540191 relative_absolute_error 0.7706564851540191 relative_absolute_error 0.7706564851540191 relative_absolute_error 0.756156519111647 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 0.592156525463792 root_mean_squared_error 0.592156525463792 root_mean_squared_error 0.592156525463792 root_mean_squared_error 0.592156525463792 root_mean_squared_error 0.592156525463792 root_mean_squared_error 0.592156525463792 root_mean_squared_error 0.592156525463792 root_mean_squared_error 0.5848976518656018 root_mean_squared_error 0.5848976518656018 root_relative_squared_error 1.2409627684491944 root_relative_squared_error 1.2409627684491944 root_relative_squared_error 1.2409627684491944 root_relative_squared_error 1.2409627684491944 root_relative_squared_error 1.2409627684491944 root_relative_squared_error 1.2409627684491944 root_relative_squared_error 1.2409627684491944 root_relative_squared_error 1.2409627684491944 root_relative_squared_error 1.2327390456645784 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 37.580799995339476 usercpu_time_millis 37.00632198888343 usercpu_time_millis 37.644183001248166 usercpu_time_millis 36.65667399764061 usercpu_time_millis 36.80657999939285 usercpu_time_millis 37.04782298882492 usercpu_time_millis 39.00920299929567 usercpu_time_millis 35.569188999943435 usercpu_time_millis 34.72582399263047 usercpu_time_millis 35.40024999529123 usercpu_time_millis_testing 3.422070003580302 usercpu_time_millis_testing 3.2555899961153045 usercpu_time_millis_testing 3.4867469948949292 usercpu_time_millis_testing 3.399280001758598 usercpu_time_millis_testing 3.365878001204692 usercpu_time_millis_testing 3.486349989543669 usercpu_time_millis_testing 3.4447149955667555 usercpu_time_millis_testing 3.161118002026342 usercpu_time_millis_testing 3.106072996160947 usercpu_time_millis_testing 3.1787269981577992 usercpu_time_millis_training 34.158729991759174 usercpu_time_millis_training 33.750731992768124 usercpu_time_millis_training 34.15743600635324 usercpu_time_millis_training 33.25739399588201 usercpu_time_millis_training 33.44070199818816 usercpu_time_millis_training 33.56147299928125 usercpu_time_millis_training 35.56448800372891 usercpu_time_millis_training 32.40807099791709 usercpu_time_millis_training 31.61975099646952 usercpu_time_millis_training 32.221522997133434 wall_clock_time_millis 37.59884834289551 wall_clock_time_millis 45.06230354309082 wall_clock_time_millis 45.66764831542969 wall_clock_time_millis 36.68856620788574 wall_clock_time_millis 67.2605037689209 wall_clock_time_millis 69.07415390014648 wall_clock_time_millis 55.02152442932129 wall_clock_time_millis 51.60379409790039 wall_clock_time_millis 34.780263900756836 wall_clock_time_millis 35.44306755065918 wall_clock_time_millis_testing 3.4322738647460938 wall_clock_time_millis_testing 3.2629966735839844 wall_clock_time_millis_testing 3.497600555419922 wall_clock_time_millis_testing 3.41033935546875 wall_clock_time_millis_testing 3.3774375915527344 wall_clock_time_millis_testing 3.498554229736328 wall_clock_time_millis_testing 3.4551620483398438 wall_clock_time_millis_testing 3.1676292419433594 wall_clock_time_millis_testing 3.113269805908203 wall_clock_time_millis_testing 3.184795379638672 wall_clock_time_millis_training 34.166574478149414 wall_clock_time_millis_training 41.799306869506836 wall_clock_time_millis_training 42.170047760009766 wall_clock_time_millis_training 33.27822685241699 wall_clock_time_millis_training 63.883066177368164 wall_clock_time_millis_training 65.57559967041016 wall_clock_time_millis_training 51.566362380981445 wall_clock_time_millis_training 48.43616485595703 wall_clock_time_millis_training 31.666994094848633 wall_clock_time_millis_training 32.25827217102051