10328838 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) 8184462 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 36.08550842537873 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.045747192972740616 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 17423 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 21579364 description https://api.openml.org/data/download/21579364/description.xml -1 21579365 predictions https://api.openml.org/data/download/21579365/predictions.arff area_under_roc_curve 0.7107164179104477 [0.710716,0.710716] average_cost 0 f_measure 0.7491007205941651 [0.820268,0.616327] kappa 0.43891065099794824 kb_relative_information_score 0.43931653334063137 mean_absolute_error 0.24479166666666666 mean_prior_absolute_error 0.4544913419913401 number_of_instances 768 [500,268] precision 0.74888728013728 [0.785714,0.68018] predictive_accuracy 0.7552083333333333 prior_entropy 0.9331348051619819 recall 0.7552083333333334 [0.858,0.563433] relative_absolute_error 0.5386057864031454 root_mean_prior_squared_error 0.4766409223329586 root_mean_squared_error 0.4947642536265799 root_relative_squared_error 1.0380230283310865 total_cost 0 area_under_roc_curve 0.7833333333333333 [0.783333,0.783333] area_under_roc_curve 0.6492592592592593 [0.649259,0.649259] area_under_roc_curve 0.7818518518518518 [0.781852,0.781852] area_under_roc_curve 0.5881481481481482 [0.588148,0.588148] area_under_roc_curve 0.6792592592592593 [0.679259,0.679259] area_under_roc_curve 0.7818518518518518 [0.781852,0.781852] area_under_roc_curve 0.6792592592592593 [0.679259,0.679259] area_under_roc_curve 0.7762962962962963 [0.776296,0.776296] 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 0.8144055944055943 [0.865385,0.72] f_measure 0.6853734500793325 [0.764706,0.538462] f_measure 0.8043214024906533 [0.851485,0.716981] f_measure 0.642527772249335 [0.778761,0.390244] f_measure 0.7198515769944341 [0.8,0.571429] f_measure 0.8043214024906533 [0.851485,0.716981] f_measure 0.7198515769944341 [0.8,0.571429] f_measure 0.8212558084117718 [0.880734,0.711111] f_measure 0.7271274988126593 [0.811321,0.565217] f_measure 0.736842105263158 [0.8,0.615385] kappa 0.5866564417177915 kappa 0.3036925395629238 kappa 0.5685468808367576 kappa 0.19825072886297374 kappa 0.3744680851063831 kappa 0.5685468808367576 kappa 0.3744680851063831 kappa 0.5984757320497394 kappa 0.38110749185667747 kappa 0.41538461538461535 kb_relative_information_score 0.5842302549694615 kb_relative_information_score 0.28725186566193417 kb_relative_information_score 0.5545324160387088 kb_relative_information_score 0.25755402673118133 kb_relative_information_score 0.37634538245419263 kb_relative_information_score 0.5545324160387084 kb_relative_information_score 0.37634538245419263 kb_relative_information_score 0.6139280939002145 kb_relative_information_score 0.3932515946311228 kb_relative_information_score 0.3932515946311228 mean_absolute_error 0.18181818181818182 mean_absolute_error 0.3116883116883117 mean_absolute_error 0.19480519480519481 mean_absolute_error 0.3246753246753247 mean_absolute_error 0.2727272727272727 mean_absolute_error 0.19480519480519481 mean_absolute_error 0.2727272727272727 mean_absolute_error 0.16883116883116883 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 0.8155467720685112 [0.833333,0.782609] precision 0.6833766233766234 [0.75,0.56] precision 0.8037354802060683 [0.843137,0.730769] precision 0.6538857967429395 [0.698413,0.571429] precision 0.71900826446281 [0.763636,0.636364] precision 0.8037354802060683 [0.843137,0.730769] precision 0.71900826446281 [0.763636,0.636364] precision 0.8399735857362977 [0.813559,0.888889] precision 0.7275375939849624 [0.767857,0.65] precision 0.7368421052631579 [0.8,0.615385] predictive_accuracy 0.8181818181818181 predictive_accuracy 0.6883116883116882 predictive_accuracy 0.8051948051948052 predictive_accuracy 0.6753246753246753 predictive_accuracy 0.7272727272727273 predictive_accuracy 0.8051948051948052 predictive_accuracy 0.7272727272727273 predictive_accuracy 0.8311688311688311 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 0.8181818181818182 [0.9,0.666667] recall 0.6883116883116883 [0.78,0.518519] recall 0.8051948051948052 [0.86,0.703704] recall 0.6753246753246753 [0.88,0.296296] recall 0.7272727272727273 [0.84,0.518519] recall 0.8051948051948052 [0.86,0.703704] recall 0.7272727272727273 [0.84,0.518519] recall 0.8311688311688312 [0.96,0.592593] recall 0.7368421052631579 [0.86,0.5] recall 0.7368421052631579 [0.8,0.615385] relative_absolute_error 0.3995996589687507 relative_absolute_error 0.6850279868035726 relative_absolute_error 0.4281424917522329 relative_absolute_error 0.7135708195870546 relative_absolute_error 0.599399488453126 relative_absolute_error 0.4281424917522329 relative_absolute_error 0.599399488453126 relative_absolute_error 0.3710568261852685 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 0.4264014327112209 root_mean_squared_error 0.5582905262390825 root_mean_squared_error 0.4413674147523748 root_mean_squared_error 0.5698028822981898 root_mean_squared_error 0.5222329678670935 root_mean_squared_error 0.4413674147523748 root_mean_squared_error 0.5222329678670935 root_mean_squared_error 0.4108907018066591 root_mean_squared_error 0.512989176042577 root_mean_squared_error 0.512989176042577 root_relative_squared_error 0.8935953242997315 root_relative_squared_error 1.169990918360609 root_relative_squared_error 0.9249590359329101 root_relative_squared_error 1.1941169806974095 root_relative_squared_error 1.0944262905356 root_relative_squared_error 0.9249590359329101 root_relative_squared_error 1.0944262905356 root_relative_squared_error 0.8610900005613504 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 44.568769008037634 usercpu_time_millis 42.10857600264717 usercpu_time_millis 43.468142990604974 usercpu_time_millis 43.499069986864924 usercpu_time_millis 43.75943100603763 usercpu_time_millis 41.42260699882172 usercpu_time_millis 41.95654900104273 usercpu_time_millis 41.298201016616076 usercpu_time_millis 41.9930479984032 usercpu_time_millis 41.174976009642705 usercpu_time_millis_testing 2.48223400558345 usercpu_time_millis_testing 2.3820729984436184 usercpu_time_millis_testing 2.4820109974825755 usercpu_time_millis_testing 2.4357449874514714 usercpu_time_millis_testing 2.4452569923596457 usercpu_time_millis_testing 2.45457400160376 usercpu_time_millis_testing 2.4312169989570975 usercpu_time_millis_testing 2.4833550123730674 usercpu_time_millis_testing 2.460825999150984 usercpu_time_millis_testing 2.504753996618092 usercpu_time_millis_training 42.086535002454184 usercpu_time_millis_training 39.72650300420355 usercpu_time_millis_training 40.9861319931224 usercpu_time_millis_training 41.06332499941345 usercpu_time_millis_training 41.314174013677984 usercpu_time_millis_training 38.96803299721796 usercpu_time_millis_training 39.525332002085634 usercpu_time_millis_training 38.81484600424301 usercpu_time_millis_training 39.532221999252215 usercpu_time_millis_training 38.67022201302461 wall_clock_time_millis 60.60647964477539 wall_clock_time_millis 42.1290397644043 wall_clock_time_millis 43.509721755981445 wall_clock_time_millis 43.51520538330078 wall_clock_time_millis 43.78342628479004 wall_clock_time_millis 41.44120216369629 wall_clock_time_millis 41.9764518737793 wall_clock_time_millis 41.31746292114258 wall_clock_time_millis 42.01388359069824 wall_clock_time_millis 49.208641052246094 wall_clock_time_millis_testing 2.4919509887695312 wall_clock_time_millis_testing 2.3932456970214844 wall_clock_time_millis_testing 2.5124549865722656 wall_clock_time_millis_testing 2.4445056915283203 wall_clock_time_millis_testing 2.4566650390625 wall_clock_time_millis_testing 2.4640560150146484 wall_clock_time_millis_testing 2.441883087158203 wall_clock_time_millis_testing 2.4940967559814453 wall_clock_time_millis_testing 2.4709701538085938 wall_clock_time_millis_testing 10.509967803955078 wall_clock_time_millis_training 58.11452865600586 wall_clock_time_millis_training 39.73579406738281 wall_clock_time_millis_training 40.99726676940918 wall_clock_time_millis_training 41.07069969177246 wall_clock_time_millis_training 41.32676124572754 wall_clock_time_millis_training 38.97714614868164 wall_clock_time_millis_training 39.534568786621094 wall_clock_time_millis_training 38.82336616516113 wall_clock_time_millis_training 39.54291343688965 wall_clock_time_millis_training 38.698673248291016