10367871 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) 8223223 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 1066.720249983584 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.5152191769846266 13389 decision_function_shape "ovr" 13389 degree 1 13389 gamma 0.08929278293093357 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 28757 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 21657447 description https://api.openml.org/data/download/21657447/description.xml -1 21657448 predictions https://api.openml.org/data/download/21657448/predictions.arff area_under_roc_curve 0.7209850746268657 [0.720985,0.720985] average_cost 0 f_measure 0.7625350624170619 [0.834275,0.628692] kappa 0.4670367800138793 kb_relative_information_score 0.4751048397231441 mean_absolute_error 0.22916666666666666 mean_prior_absolute_error 0.4544913419913401 number_of_instances 768 [500,268] precision 0.7655895495744508 [0.788256,0.723301] predictive_accuracy 0.7708333333333333 prior_entropy 0.9331348051619819 recall 0.7708333333333334 [0.886,0.55597] relative_absolute_error 0.5042266936540084 root_mean_prior_squared_error 0.4766409223329586 root_mean_squared_error 0.47871355387816905 root_relative_squared_error 1.0043484129207072 total_cost 0 area_under_roc_curve 0.8103703703703704 [0.81037,0.81037] area_under_roc_curve 0.6237037037037036 [0.623704,0.623704] area_under_roc_curve 0.7277777777777777 [0.727778,0.727778] area_under_roc_curve 0.6822222222222221 [0.682222,0.682222] area_under_roc_curve 0.7548148148148148 [0.754815,0.754815] area_under_roc_curve 0.8003703703703704 [0.80037,0.80037] area_under_roc_curve 0.7177777777777776 [0.717778,0.717778] area_under_roc_curve 0.7492592592592593 [0.749259,0.749259] area_under_roc_curve 0.7000000000000001 [0.7,0.7] area_under_roc_curve 0.6407692307692309 [0.640769,0.640769] 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 0.8304118821585662 [0.871287,0.754717] f_measure 0.6727523684045422 [0.777778,0.478261] f_measure 0.7700015236304757 [0.841121,0.638298] f_measure 0.7339118036792455 [0.828829,0.55814] f_measure 0.7878921078921078 [0.846154,0.68] f_measure 0.8181818181818181 [0.86,0.740741] f_measure 0.7582394021073267 [0.830189,0.625] f_measure 0.801948051948052 [0.875,0.666667] f_measure 0.7503987240829346 [0.833333,0.590909] f_measure 0.6884765104249988 [0.780952,0.510638] kappa 0.6260739633918567 kappa 0.2655007949125597 kappa 0.48444269397400563 kappa 0.4021250510829588 kappa 0.5276073619631902 kappa 0.6007407407407408 kappa 0.459016393442623 kappa 0.5552805280528054 kappa 0.4318936877076413 kappa 0.29516129032258054 kb_relative_information_score 0.6139280939002139 kb_relative_information_score 0.28725186566193417 kb_relative_information_score 0.4951367381772037 kb_relative_information_score 0.4357410603156983 kb_relative_information_score 0.5248345771079564 kb_relative_information_score 0.5842302549694612 kb_relative_information_score 0.4654388992464511 kb_relative_information_score 0.5842302549694617 kb_relative_information_score 0.4539264351680107 kb_relative_information_score 0.30223933382579077 mean_absolute_error 0.16883116883116883 mean_absolute_error 0.3116883116883117 mean_absolute_error 0.22077922077922077 mean_absolute_error 0.24675324675324675 mean_absolute_error 0.2077922077922078 mean_absolute_error 0.18181818181818182 mean_absolute_error 0.23376623376623376 mean_absolute_error 0.18181818181818182 mean_absolute_error 0.23684210526315788 mean_absolute_error 0.3026315789473684 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 0.8299543593661242 [0.862745,0.769231] precision 0.6732269545336695 [0.724138,0.578947] precision 0.7756322624743677 [0.789474,0.75] precision 0.7526612731530764 [0.754098,0.75] precision 0.788276136102223 [0.814815,0.73913] precision 0.8181818181818182 [0.86,0.740741] precision 0.7606679035250463 [0.785714,0.714286] precision 0.8404692082111437 [0.790323,0.933333] precision 0.7575115950796532 [0.775862,0.722222] precision 0.6859193438140806 [0.745455,0.571429] predictive_accuracy 0.8311688311688311 predictive_accuracy 0.6883116883116882 predictive_accuracy 0.7792207792207791 predictive_accuracy 0.7532467532467533 predictive_accuracy 0.7922077922077922 predictive_accuracy 0.8181818181818181 predictive_accuracy 0.7662337662337663 predictive_accuracy 0.8181818181818181 predictive_accuracy 0.763157894736842 predictive_accuracy 0.6973684210526316 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 [0.88,0.740741] recall 0.6883116883116883 [0.84,0.407407] recall 0.7792207792207793 [0.9,0.555556] recall 0.7532467532467533 [0.92,0.444444] recall 0.7922077922077922 [0.88,0.62963] recall 0.8181818181818182 [0.86,0.740741] recall 0.7662337662337663 [0.88,0.555556] recall 0.8181818181818182 [0.98,0.518519] recall 0.7631578947368421 [0.9,0.5] recall 0.6973684210526315 [0.82,0.461538] relative_absolute_error 0.3710568261852685 relative_absolute_error 0.6850279868035726 relative_absolute_error 0.4852281573191972 relative_absolute_error 0.5423138228861615 relative_absolute_error 0.45668532453571503 relative_absolute_error 0.3995996589687507 relative_absolute_error 0.5137709901026793 relative_absolute_error 0.3995996589687507 relative_absolute_error 0.5234929747696018 relative_absolute_error 0.66890768998338 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 0.5582905262390825 root_mean_squared_error 0.4698714938993648 root_mean_squared_error 0.496742636335202 root_mean_squared_error 0.4558423058385518 root_mean_squared_error 0.4264014327112209 root_mean_squared_error 0.48349377841522817 root_mean_squared_error 0.4264014327112209 root_mean_squared_error 0.4866642633922876 root_mean_squared_error 0.5501196042201808 root_relative_squared_error 0.8610900005613504 root_relative_squared_error 1.169990918360609 root_relative_squared_error 0.9846940881518128 root_relative_squared_error 1.0410070491251833 root_relative_squared_error 0.9552935845579276 root_relative_squared_error 0.8935953242997315 root_relative_squared_error 1.0132418574973725 root_relative_squared_error 0.8935953242997315 root_relative_squared_error 1.025700885786965 root_relative_squared_error 1.159440311898513 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 1014.4775370001753 usercpu_time_millis 1038.1123529998604 usercpu_time_millis 385.37064299998747 usercpu_time_millis 515.8011430000897 usercpu_time_millis 468.68683200000305 usercpu_time_millis 335.001076999788 usercpu_time_millis 376.4313950000542 usercpu_time_millis 393.7349389998417 usercpu_time_millis 355.82437199991546 usercpu_time_millis 478.42455600016365 usercpu_time_millis_testing 1.530172999991919 usercpu_time_millis_testing 1.460341999973025 usercpu_time_millis_testing 0.9436029999960738 usercpu_time_millis_testing 0.9239559999514313 usercpu_time_millis_testing 0.9437789999537927 usercpu_time_millis_testing 1.675614999840036 usercpu_time_millis_testing 0.9061410000867909 usercpu_time_millis_testing 0.922674999856099 usercpu_time_millis_testing 0.9186479999243602 usercpu_time_millis_testing 0.9016129999963596 usercpu_time_millis_training 1012.9473640001834 usercpu_time_millis_training 1036.6520109998874 usercpu_time_millis_training 384.4270399999914 usercpu_time_millis_training 514.8771870001383 usercpu_time_millis_training 467.74305300004926 usercpu_time_millis_training 333.32546199994795 usercpu_time_millis_training 375.5252539999674 usercpu_time_millis_training 392.8122639999856 usercpu_time_millis_training 354.9057239999911 usercpu_time_millis_training 477.5229430001673 wall_clock_time_millis 1014.5337581634521 wall_clock_time_millis 1038.1577014923096 wall_clock_time_millis 385.38146018981934 wall_clock_time_millis 515.8357620239258 wall_clock_time_millis 468.69778633117676 wall_clock_time_millis 335.01338958740234 wall_clock_time_millis 376.44147872924805 wall_clock_time_millis 393.74494552612305 wall_clock_time_millis 355.8471202850342 wall_clock_time_millis 478.44815254211426 wall_clock_time_millis_testing 1.5330314636230469 wall_clock_time_millis_testing 1.4634132385253906 wall_clock_time_millis_testing 0.946044921875 wall_clock_time_millis_testing 0.9264945983886719 wall_clock_time_millis_testing 0.946044921875 wall_clock_time_millis_testing 1.6798973083496094 wall_clock_time_millis_testing 0.9086132049560547 wall_clock_time_millis_testing 0.9250640869140625 wall_clock_time_millis_testing 0.9214878082275391 wall_clock_time_millis_testing 0.904083251953125 wall_clock_time_millis_training 1013.0007266998291 wall_clock_time_millis_training 1036.6942882537842 wall_clock_time_millis_training 384.43541526794434 wall_clock_time_millis_training 514.9092674255371 wall_clock_time_millis_training 467.75174140930176 wall_clock_time_millis_training 333.33349227905273 wall_clock_time_millis_training 375.532865524292 wall_clock_time_millis_training 392.819881439209 wall_clock_time_millis_training 354.92563247680664 wall_clock_time_millis_training 477.54406929016113