10362785 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) 8218257 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 0.6945819136497673 13389 cache_size 200 13389 class_weight null 13389 coef0 0.8068153098494797 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.05994234861688584 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 8435 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 21647272 description https://api.openml.org/data/download/21647272/description.xml -1 21647273 predictions https://api.openml.org/data/download/21647273/predictions.arff area_under_roc_curve 0.700134328358209 [0.700134,0.700134] average_cost 0 f_measure 0.7481692296896097 [0.831647,0.592428] kappa 0.43286954837460045 kb_relative_information_score 0.45422832766667814 mean_absolute_error 0.23828125 mean_prior_absolute_error 0.4544913419913401 number_of_instances 768 [500,268] precision 0.7577300712020104 [0.770017,0.734807] predictive_accuracy 0.76171875 prior_entropy 0.9331348051619819 recall 0.76171875 [0.904,0.496269] relative_absolute_error 0.5242811644243384 root_mean_prior_squared_error 0.4766409223329586 root_mean_squared_error 0.4881406047441659 root_relative_squared_error 1.0241265109066193 total_cost 0 area_under_roc_curve 0.7933333333333333 [0.793333,0.793333] area_under_roc_curve 0.6337037037037037 [0.633704,0.633704] area_under_roc_curve 0.7192592592592593 [0.719259,0.719259] area_under_roc_curve 0.6181481481481481 [0.618148,0.618148] area_under_roc_curve 0.7092592592592593 [0.709259,0.709259] area_under_roc_curve 0.8018518518518518 [0.801852,0.801852] area_under_roc_curve 0.6907407407407409 [0.690741,0.690741] area_under_roc_curve 0.7122222222222221 [0.712222,0.712222] area_under_roc_curve 0.6515384615384615 [0.651538,0.651538] area_under_roc_curve 0.67 [0.67,0.67] 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 0.8265747857584592 [0.87619,0.734694] f_measure 0.6837602764208268 [0.788991,0.488889] f_measure 0.7662575956153937 [0.844037,0.622222] f_measure 0.6738397718434016 [0.810345,0.421053] f_measure 0.7545642763034068 [0.833333,0.608696] f_measure 0.8286619148983513 [0.873786,0.745098] f_measure 0.7387584892172047 [0.825688,0.577778] f_measure 0.7686033264980632 [0.859649,0.6] f_measure 0.7061749744534154 [0.807339,0.511628] f_measure 0.7155655095184772 [0.8,0.553191] kappa 0.6127659574468087 kappa 0.2896109105495387 kappa 0.47492980344965907 kappa 0.27358490566037735 kappa 0.44912559618441983 kappa 0.619536297985557 kappa 0.4131568391496189 kappa 0.48191757779646777 kappa 0.33053691275167785 kappa 0.3564516129032259 kb_relative_information_score 0.6139280939002144 kb_relative_information_score 0.316949704592687 kb_relative_information_score 0.4951367381772037 kb_relative_information_score 0.3466475435234399 kb_relative_information_score 0.4654388992464511 kb_relative_information_score 0.613928093900214 kb_relative_information_score 0.4357410603156983 kb_relative_information_score 0.5248345771079564 kb_relative_information_score 0.3629141743626787 kb_relative_information_score 0.3629141743626787 mean_absolute_error 0.16883116883116883 mean_absolute_error 0.2987012987012987 mean_absolute_error 0.22077922077922077 mean_absolute_error 0.2857142857142857 mean_absolute_error 0.23376623376623376 mean_absolute_error 0.16883116883116883 mean_absolute_error 0.24675324675324675 mean_absolute_error 0.2077922077922078 mean_absolute_error 0.27631578947368424 mean_absolute_error 0.27631578947368424 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 0.8299881936245572 [0.836364,0.818182] precision 0.687541272287035 [0.728814,0.611111] precision 0.7790006603565925 [0.779661,0.777778] precision 0.7174340810704448 [0.712121,0.727273] precision 0.7621797440309238 [0.775862,0.736842] precision 0.8289328595932369 [0.849057,0.791667] precision 0.74851419766674 [0.762712,0.722222] precision 0.8208354145854145 [0.765625,0.923077] precision 0.7119955921708558 [0.745763,0.647059] precision 0.7141717931191616 [0.763636,0.619048] predictive_accuracy 0.8311688311688311 predictive_accuracy 0.7012987012987013 predictive_accuracy 0.7792207792207791 predictive_accuracy 0.7142857142857143 predictive_accuracy 0.7662337662337663 predictive_accuracy 0.8311688311688311 predictive_accuracy 0.7532467532467533 predictive_accuracy 0.7922077922077922 predictive_accuracy 0.7236842105263157 predictive_accuracy 0.7236842105263157 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 0.8311688311688312 [0.92,0.666667] recall 0.7012987012987013 [0.86,0.407407] recall 0.7792207792207793 [0.92,0.518519] recall 0.7142857142857143 [0.94,0.296296] recall 0.7662337662337663 [0.9,0.518519] recall 0.8311688311688312 [0.9,0.703704] recall 0.7532467532467533 [0.9,0.481481] recall 0.7922077922077922 [0.98,0.444444] recall 0.7236842105263158 [0.88,0.423077] recall 0.7236842105263158 [0.84,0.5] relative_absolute_error 0.3710568261852685 relative_absolute_error 0.6564851540200902 relative_absolute_error 0.4852281573191972 relative_absolute_error 0.6279423212366081 relative_absolute_error 0.5137709901026793 relative_absolute_error 0.3710568261852685 relative_absolute_error 0.5423138228861615 relative_absolute_error 0.45668532453571503 relative_absolute_error 0.6107418038978688 relative_absolute_error 0.6107418038978688 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 0.4108907018066591 root_mean_squared_error 0.5465357250000211 root_mean_squared_error 0.4698714938993648 root_mean_squared_error 0.5345224838248488 root_mean_squared_error 0.48349377841522817 root_mean_squared_error 0.4108907018066591 root_mean_squared_error 0.496742636335202 root_mean_squared_error 0.4558423058385518 root_mean_squared_error 0.5256574830378469 root_mean_squared_error 0.5256574830378469 root_relative_squared_error 0.8610900005613504 root_relative_squared_error 1.1453567717103283 root_relative_squared_error 0.9846940881518128 root_relative_squared_error 1.1201810210671799 root_relative_squared_error 1.0132418574973725 root_relative_squared_error 0.8610900005613504 root_relative_squared_error 1.0410070491251833 root_relative_squared_error 0.9552935845579276 root_relative_squared_error 1.1078835791520962 root_relative_squared_error 1.1078835791520962 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 23.484467004891485 usercpu_time_millis 27.879339017090388 usercpu_time_millis 24.146764000761323 usercpu_time_millis 23.77452698419802 usercpu_time_millis 23.767888997099362 usercpu_time_millis 22.99587598827202 usercpu_time_millis 23.037756996927783 usercpu_time_millis 23.298986998270266 usercpu_time_millis 23.529131009127013 usercpu_time_millis 24.063689983449876 usercpu_time_millis_testing 1.6367650096071884 usercpu_time_millis_testing 1.6035870066843927 usercpu_time_millis_testing 1.677146996371448 usercpu_time_millis_testing 1.6389179945690557 usercpu_time_millis_testing 1.6745949978940189 usercpu_time_millis_testing 1.612445994396694 usercpu_time_millis_testing 1.5794650098541752 usercpu_time_millis_testing 1.6112510056700557 usercpu_time_millis_testing 1.5992060070857406 usercpu_time_millis_testing 1.667741991695948 usercpu_time_millis_training 21.847701995284297 usercpu_time_millis_training 26.275752010405995 usercpu_time_millis_training 22.469617004389875 usercpu_time_millis_training 22.135608989628963 usercpu_time_millis_training 22.093293999205343 usercpu_time_millis_training 21.383429993875325 usercpu_time_millis_training 21.458291987073608 usercpu_time_millis_training 21.68773599260021 usercpu_time_millis_training 21.929925002041273 usercpu_time_millis_training 22.39594799175393 wall_clock_time_millis 23.49853515625 wall_clock_time_millis 27.89163589477539 wall_clock_time_millis 24.15943145751953 wall_clock_time_millis 23.787498474121094 wall_clock_time_millis 23.782730102539062 wall_clock_time_millis 23.00858497619629 wall_clock_time_millis 23.04840087890625 wall_clock_time_millis 23.311376571655273 wall_clock_time_millis 23.548603057861328 wall_clock_time_millis 24.0786075592041 wall_clock_time_millis_testing 1.642465591430664 wall_clock_time_millis_testing 1.6117095947265625 wall_clock_time_millis_testing 1.683950424194336 wall_clock_time_millis_testing 1.64794921875 wall_clock_time_millis_testing 1.6815662384033203 wall_clock_time_millis_testing 1.6186237335205078 wall_clock_time_millis_testing 1.5871524810791016 wall_clock_time_millis_testing 1.6188621520996094 wall_clock_time_millis_testing 1.6095638275146484 wall_clock_time_millis_testing 1.6760826110839844 wall_clock_time_millis_training 21.856069564819336 wall_clock_time_millis_training 26.279926300048828 wall_clock_time_millis_training 22.475481033325195 wall_clock_time_millis_training 22.139549255371094 wall_clock_time_millis_training 22.101163864135742 wall_clock_time_millis_training 21.38996124267578 wall_clock_time_millis_training 21.46124839782715 wall_clock_time_millis_training 21.692514419555664 wall_clock_time_millis_training 21.93903923034668 wall_clock_time_millis_training 22.402524948120117