10328702 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) 8184326 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 12568 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 21579092 description https://api.openml.org/data/download/21579092/description.xml -1 21579093 predictions https://api.openml.org/data/download/21579093/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 20.339342998340726 usercpu_time_millis 19.27698601502925 usercpu_time_millis 19.39319101802539 usercpu_time_millis 19.10867399419658 usercpu_time_millis 19.399707016418688 usercpu_time_millis 19.665272993734106 usercpu_time_millis 19.632812996860594 usercpu_time_millis 19.40700200793799 usercpu_time_millis 19.485635013552383 usercpu_time_millis 19.377437987714075 usercpu_time_millis_testing 1.5511560050072148 usercpu_time_millis_testing 1.6034150030463934 usercpu_time_millis_testing 1.5782390109961852 usercpu_time_millis_testing 1.509444002294913 usercpu_time_millis_testing 1.5671440050937235 usercpu_time_millis_testing 1.742155000101775 usercpu_time_millis_testing 1.6453139978693798 usercpu_time_millis_testing 1.5869729977566749 usercpu_time_millis_testing 1.564147009048611 usercpu_time_millis_testing 1.572451990796253 usercpu_time_millis_training 18.78818699333351 usercpu_time_millis_training 17.673571011982858 usercpu_time_millis_training 17.814952007029206 usercpu_time_millis_training 17.599229991901666 usercpu_time_millis_training 17.832563011324964 usercpu_time_millis_training 17.92311799363233 usercpu_time_millis_training 17.987498998991214 usercpu_time_millis_training 17.820029010181315 usercpu_time_millis_training 17.92148800450377 usercpu_time_millis_training 17.80498599691782 wall_clock_time_millis 52.34956741333008 wall_clock_time_millis 35.28857231140137 wall_clock_time_millis 19.410133361816406 wall_clock_time_millis 19.121885299682617 wall_clock_time_millis 19.41514015197754 wall_clock_time_millis 19.682884216308594 wall_clock_time_millis 19.64855194091797 wall_clock_time_millis 19.422531127929688 wall_clock_time_millis 19.5009708404541 wall_clock_time_millis 19.394636154174805 wall_clock_time_millis_testing 1.5554428100585938 wall_clock_time_millis_testing 1.6109943389892578 wall_clock_time_millis_testing 1.5869140625 wall_clock_time_millis_testing 1.5163421630859375 wall_clock_time_millis_testing 1.5747547149658203 wall_clock_time_millis_testing 1.7518997192382812 wall_clock_time_millis_testing 1.6531944274902344 wall_clock_time_millis_testing 1.5933513641357422 wall_clock_time_millis_testing 1.5726089477539062 wall_clock_time_millis_testing 1.581430435180664 wall_clock_time_millis_training 50.794124603271484 wall_clock_time_millis_training 33.67757797241211 wall_clock_time_millis_training 17.823219299316406 wall_clock_time_millis_training 17.60554313659668 wall_clock_time_millis_training 17.84038543701172 wall_clock_time_millis_training 17.930984497070312 wall_clock_time_millis_training 17.995357513427734 wall_clock_time_millis_training 17.829179763793945 wall_clock_time_millis_training 17.928361892700195 wall_clock_time_millis_training 17.81320571899414