10362813 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) 8218285 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 0.039974679529650115 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.011042887629764929 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 64740 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 21647328 description https://api.openml.org/data/download/21647328/description.xml -1 21647329 predictions https://api.openml.org/data/download/21647329/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 39.26051898451988 usercpu_time_millis 37.26018899760675 usercpu_time_millis 37.2497979842592 usercpu_time_millis 37.20130001602229 usercpu_time_millis 36.72823899250943 usercpu_time_millis 36.34821499872487 usercpu_time_millis 36.795210995478556 usercpu_time_millis 36.248900010832585 usercpu_time_millis 37.51078397908714 usercpu_time_millis 37.34520798025187 usercpu_time_millis_testing 3.4026279899990186 usercpu_time_millis_testing 3.4935959993163124 usercpu_time_millis_testing 3.495261989883147 usercpu_time_millis_testing 3.4076340089086443 usercpu_time_millis_testing 3.421625995542854 usercpu_time_millis_testing 3.319511000881903 usercpu_time_millis_testing 3.434708996792324 usercpu_time_millis_testing 3.2924350089160725 usercpu_time_millis_testing 3.502965992083773 usercpu_time_millis_testing 3.474244993412867 usercpu_time_millis_training 35.85789099452086 usercpu_time_millis_training 33.766592998290434 usercpu_time_millis_training 33.754535994376056 usercpu_time_millis_training 33.79366600711364 usercpu_time_millis_training 33.30661299696658 usercpu_time_millis_training 33.02870399784297 usercpu_time_millis_training 33.36050199868623 usercpu_time_millis_training 32.95646500191651 usercpu_time_millis_training 34.007817987003364 usercpu_time_millis_training 33.870962986839004 wall_clock_time_millis 39.278507232666016 wall_clock_time_millis 37.27841377258301 wall_clock_time_millis 37.267208099365234 wall_clock_time_millis 37.21332550048828 wall_clock_time_millis 36.742210388183594 wall_clock_time_millis 36.364078521728516 wall_clock_time_millis 36.81325912475586 wall_clock_time_millis 36.266326904296875 wall_clock_time_millis 37.52255439758301 wall_clock_time_millis 37.36138343811035 wall_clock_time_millis_testing 3.411531448364258 wall_clock_time_millis_testing 3.5037994384765625 wall_clock_time_millis_testing 3.506183624267578 wall_clock_time_millis_testing 3.416776657104492 wall_clock_time_millis_testing 3.430604934692383 wall_clock_time_millis_testing 3.3333301544189453 wall_clock_time_millis_testing 3.446340560913086 wall_clock_time_millis_testing 3.3049583435058594 wall_clock_time_millis_testing 3.5119056701660156 wall_clock_time_millis_testing 3.486156463623047 wall_clock_time_millis_training 35.86697578430176 wall_clock_time_millis_training 33.774614334106445 wall_clock_time_millis_training 33.761024475097656 wall_clock_time_millis_training 33.79654884338379 wall_clock_time_millis_training 33.31160545349121 wall_clock_time_millis_training 33.03074836730957 wall_clock_time_millis_training 33.36691856384277 wall_clock_time_millis_training 32.961368560791016 wall_clock_time_millis_training 34.01064872741699 wall_clock_time_millis_training 33.875226974487305