10367930 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) 8223282 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 140.1628286743181 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.0016356557189051856 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 41394 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 21657565 description https://api.openml.org/data/download/21657565/description.xml -1 21657566 predictions https://api.openml.org/data/download/21657566/predictions.arff area_under_roc_curve 0.7231194029850746 [0.723119,0.723119] average_cost 0 f_measure 0.7657219284152273 [0.837863,0.63113] kappa 0.47371423139081664 kb_relative_information_score 0.4840519163187722 mean_absolute_error 0.22526041666666666 mean_prior_absolute_error 0.4544913419913401 number_of_instances 768 [500,268] precision 0.7701995149911817 [0.78836,0.736318] predictive_accuracy 0.7747395833333333 prior_entropy 0.9331348051619819 recall 0.7747395833333334 [0.894,0.552239] relative_absolute_error 0.4956319204667242 root_mean_prior_squared_error 0.4766409223329586 root_mean_squared_error 0.47461607291227154 root_relative_squared_error 0.9957518347128561 total_cost 0 area_under_roc_curve 0.8103703703703704 [0.81037,0.81037] area_under_roc_curve 0.6337037037037037 [0.633704,0.633704] area_under_roc_curve 0.7277777777777777 [0.727778,0.727778] area_under_roc_curve 0.6166666666666667 [0.616667,0.616667] area_under_roc_curve 0.7648148148148148 [0.764815,0.764815] area_under_roc_curve 0.8103703703703704 [0.81037,0.81037] area_under_roc_curve 0.7548148148148148 [0.754815,0.754815] area_under_roc_curve 0.7492592592592593 [0.749259,0.749259] area_under_roc_curve 0.72 [0.72,0.72] 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 0.6837602764208268 [0.788991,0.488889] f_measure 0.7700015236304757 [0.841121,0.638298] f_measure 0.6711255504693882 [0.79646,0.439024] f_measure 0.799893983567453 [0.857143,0.693878] f_measure 0.8304118821585662 [0.871287,0.754717] f_measure 0.7878921078921078 [0.846154,0.68] f_measure 0.801948051948052 [0.875,0.666667] f_measure 0.773980405559353 [0.854545,0.619048] f_measure 0.6884765104249988 [0.780952,0.510638] kappa 0.6260739633918567 kappa 0.2896109105495387 kappa 0.48444269397400563 kappa 0.26239067055393583 kappa 0.5531914893617023 kappa 0.6260739633918567 kappa 0.5276073619631902 kappa 0.5552805280528054 kappa 0.4847457627118644 kappa 0.29516129032258054 kb_relative_information_score 0.6139280939002139 kb_relative_information_score 0.316949704592687 kb_relative_information_score 0.4951367381772037 kb_relative_information_score 0.316949704592687 kb_relative_information_score 0.5545324160387091 kb_relative_information_score 0.613928093900214 kb_relative_information_score 0.5248345771079562 kb_relative_information_score 0.5842302549694617 kb_relative_information_score 0.5146012757048981 kb_relative_information_score 0.30223933382579077 mean_absolute_error 0.16883116883116883 mean_absolute_error 0.2987012987012987 mean_absolute_error 0.22077922077922077 mean_absolute_error 0.2987012987012987 mean_absolute_error 0.19480519480519481 mean_absolute_error 0.16883116883116883 mean_absolute_error 0.2077922077922078 mean_absolute_error 0.18181818181818182 mean_absolute_error 0.21052631578947367 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 0.687541272287035 [0.728814,0.611111] precision 0.7756322624743677 [0.789474,0.75] precision 0.6892393320964749 [0.714286,0.642857] precision 0.8022432113341206 [0.818182,0.772727] precision 0.8299543593661242 [0.862745,0.769231] precision 0.788276136102223 [0.814815,0.73913] precision 0.8404692082111437 [0.790323,0.933333] precision 0.7933114035087719 [0.783333,0.8125] precision 0.6859193438140806 [0.745455,0.571429] predictive_accuracy 0.8311688311688311 predictive_accuracy 0.7012987012987013 predictive_accuracy 0.7792207792207791 predictive_accuracy 0.7012987012987013 predictive_accuracy 0.8051948051948052 predictive_accuracy 0.8311688311688311 predictive_accuracy 0.7922077922077922 predictive_accuracy 0.8181818181818181 predictive_accuracy 0.7894736842105263 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 0.7012987012987013 [0.86,0.407407] recall 0.7792207792207793 [0.9,0.555556] recall 0.7012987012987013 [0.9,0.333333] recall 0.8051948051948052 [0.9,0.62963] recall 0.8311688311688312 [0.88,0.740741] recall 0.7922077922077922 [0.88,0.62963] recall 0.8181818181818182 [0.98,0.518519] recall 0.7894736842105263 [0.94,0.5] recall 0.6973684210526315 [0.82,0.461538] relative_absolute_error 0.3710568261852685 relative_absolute_error 0.6564851540200902 relative_absolute_error 0.4852281573191972 relative_absolute_error 0.6564851540200902 relative_absolute_error 0.4281424917522329 relative_absolute_error 0.3710568261852685 relative_absolute_error 0.45668532453571503 relative_absolute_error 0.3995996589687507 relative_absolute_error 0.46532708868409045 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 0.5465357250000211 root_mean_squared_error 0.4698714938993648 root_mean_squared_error 0.5465357250000211 root_mean_squared_error 0.4413674147523748 root_mean_squared_error 0.4108907018066591 root_mean_squared_error 0.4558423058385518 root_mean_squared_error 0.4264014327112209 root_mean_squared_error 0.45883146774112354 root_mean_squared_error 0.5501196042201808 root_relative_squared_error 0.8610900005613504 root_relative_squared_error 1.1453567717103283 root_relative_squared_error 0.9846940881518128 root_relative_squared_error 1.1453567717103283 root_relative_squared_error 0.9249590359329101 root_relative_squared_error 0.8610900005613504 root_relative_squared_error 0.9552935845579276 root_relative_squared_error 0.8935953242997315 root_relative_squared_error 0.9670400690786819 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 34.48859699983586 usercpu_time_millis 35.013840000146956 usercpu_time_millis 35.62456999998176 usercpu_time_millis 35.470536000048014 usercpu_time_millis 34.507086000076015 usercpu_time_millis 33.716309000055844 usercpu_time_millis 34.9089979999917 usercpu_time_millis 34.66534300014246 usercpu_time_millis 35.54112999972858 usercpu_time_millis 34.29844300012519 usercpu_time_millis_testing 2.6522709999881044 usercpu_time_millis_testing 2.650179000056596 usercpu_time_millis_testing 2.706729000010455 usercpu_time_millis_testing 2.591718000076071 usercpu_time_millis_testing 2.5581309998869983 usercpu_time_millis_testing 2.5330270000267774 usercpu_time_millis_testing 2.594702000124016 usercpu_time_millis_testing 2.587027000117814 usercpu_time_millis_testing 2.6318149998587614 usercpu_time_millis_testing 2.559688000019378 usercpu_time_millis_training 31.83632599984776 usercpu_time_millis_training 32.36366100009036 usercpu_time_millis_training 32.917840999971304 usercpu_time_millis_training 32.87881799997194 usercpu_time_millis_training 31.948955000189017 usercpu_time_millis_training 31.183282000029067 usercpu_time_millis_training 32.31429599986768 usercpu_time_millis_training 32.07831600002464 usercpu_time_millis_training 32.90931499986982 usercpu_time_millis_training 31.73875500010581 wall_clock_time_millis 34.494876861572266 wall_clock_time_millis 35.02345085144043 wall_clock_time_millis 35.63284873962402 wall_clock_time_millis 35.47811508178711 wall_clock_time_millis 34.51395034790039 wall_clock_time_millis 33.722639083862305 wall_clock_time_millis 34.915924072265625 wall_clock_time_millis 34.67130661010742 wall_clock_time_millis 35.54821014404297 wall_clock_time_millis 34.30652618408203 wall_clock_time_millis_testing 2.6552677154541016 wall_clock_time_millis_testing 2.653837203979492 wall_clock_time_millis_testing 2.7108192443847656 wall_clock_time_millis_testing 2.594470977783203 wall_clock_time_millis_testing 2.5610923767089844 wall_clock_time_millis_testing 2.5365352630615234 wall_clock_time_millis_testing 2.597332000732422 wall_clock_time_millis_testing 2.590179443359375 wall_clock_time_millis_testing 2.6340484619140625 wall_clock_time_millis_testing 2.562999725341797 wall_clock_time_millis_training 31.839609146118164 wall_clock_time_millis_training 32.36961364746094 wall_clock_time_millis_training 32.92202949523926 wall_clock_time_millis_training 32.883644104003906 wall_clock_time_millis_training 31.952857971191406 wall_clock_time_millis_training 31.18610382080078 wall_clock_time_millis_training 32.3185920715332 wall_clock_time_millis_training 32.08112716674805 wall_clock_time_millis_training 32.914161682128906 wall_clock_time_millis_training 31.743526458740234