10328709 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) 8184333 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 10.452693667466372 13389 cache_size 200 13389 class_weight null 13389 coef0 0.5864644897807998 13389 decision_function_shape "ovr" 13389 degree 2 13389 gamma 3.116722283916533e-05 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 10189 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 21579106 description https://api.openml.org/data/download/21579106/description.xml -1 21579107 predictions https://api.openml.org/data/download/21579107/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 18.051841005217284 usercpu_time_millis 20.311131986090913 usercpu_time_millis 18.420489999698475 usercpu_time_millis 18.295697998837568 usercpu_time_millis 18.215913005406037 usercpu_time_millis 18.1522600032622 usercpu_time_millis 18.24582500557881 usercpu_time_millis 18.258365991641767 usercpu_time_millis 18.18985400313977 usercpu_time_millis 17.989090993069112 usercpu_time_millis_testing 1.7743040079949424 usercpu_time_millis_testing 1.7704079946270213 usercpu_time_millis_testing 1.8336409993935376 usercpu_time_millis_testing 1.6802609898149967 usercpu_time_millis_testing 1.6339680005330592 usercpu_time_millis_testing 1.7323990032309666 usercpu_time_millis_testing 1.691637997282669 usercpu_time_millis_testing 1.7299759929301217 usercpu_time_millis_testing 1.6405240021413192 usercpu_time_millis_testing 1.6495919990120456 usercpu_time_millis_training 16.27753699722234 usercpu_time_millis_training 18.540723991463892 usercpu_time_millis_training 16.586849000304937 usercpu_time_millis_training 16.61543700902257 usercpu_time_millis_training 16.581945004872978 usercpu_time_millis_training 16.419861000031233 usercpu_time_millis_training 16.55418700829614 usercpu_time_millis_training 16.528389998711646 usercpu_time_millis_training 16.549330000998452 usercpu_time_millis_training 16.339498994057067 wall_clock_time_millis 18.099546432495117 wall_clock_time_millis 20.372867584228516 wall_clock_time_millis 18.476009368896484 wall_clock_time_millis 18.306970596313477 wall_clock_time_millis 18.225908279418945 wall_clock_time_millis 18.163442611694336 wall_clock_time_millis 18.258333206176758 wall_clock_time_millis 18.269777297973633 wall_clock_time_millis 18.202781677246094 wall_clock_time_millis 18.002033233642578 wall_clock_time_millis_testing 1.783609390258789 wall_clock_time_millis_testing 1.7766952514648438 wall_clock_time_millis_testing 1.8417835235595703 wall_clock_time_millis_testing 1.6863346099853516 wall_clock_time_millis_testing 1.638650894165039 wall_clock_time_millis_testing 1.7380714416503906 wall_clock_time_millis_testing 1.6970634460449219 wall_clock_time_millis_testing 1.7347335815429688 wall_clock_time_millis_testing 1.6450881958007812 wall_clock_time_millis_testing 1.6543865203857422 wall_clock_time_millis_training 16.315937042236328 wall_clock_time_millis_training 18.596172332763672 wall_clock_time_millis_training 16.634225845336914 wall_clock_time_millis_training 16.620635986328125 wall_clock_time_millis_training 16.587257385253906 wall_clock_time_millis_training 16.425371170043945 wall_clock_time_millis_training 16.561269760131836 wall_clock_time_millis_training 16.535043716430664 wall_clock_time_millis_training 16.557693481445312 wall_clock_time_millis_training 16.347646713256836