10314117 8323 Heinrich Peters 37 Supervised Classification 15083 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,fkceigenpro=sklearn_extra.fast_kernel.FKCEigenPro)(1) 8173035 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 memory null 15083 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": "fkceigenpro", "step_name": "fkceigenpro"}}] 15083 verbose false 15083 bandwidth 5 15084 batch_size "auto" 15084 coef0 1 15084 degree 2 15084 gamma 1e-08 15084 kernel "rbf" 15084 kernel_params null 15084 n_components 3000 15084 n_epoch 2 15084 random_state 60039 15084 subsample_size "auto" 15084 openml-python Sklearn_0.21.2. 37 diabetes https://www.openml.org/data/download/37/dataset_37_diabetes.arff -1 21549843 description https://api.openml.org/data/download/21549843/description.xml -1 21549844 predictions https://api.openml.org/data/download/21549844/predictions.arff area_under_roc_curve 0.72944776119403 [0.729448,0.729448] average_cost 0 f_measure 0.769776021344451 [0.838527,0.641509] kappa 0.4835949542294505 kb_relative_information_score 0.4900166340491912 mean_absolute_error 0.22265625 mean_prior_absolute_error 0.4544913419913401 number_of_instances 768 [500,268] precision 0.7725639759567239 [0.794275,0.732057] predictive_accuracy 0.77734375 prior_entropy 0.9331348051619819 recall 0.77734375 [0.888,0.570896] relative_absolute_error 0.48990207167520144 root_mean_prior_squared_error 0.4766409223329586 root_mean_squared_error 0.47186465220442186 root_relative_squared_error 0.9899793116689207 total_cost 0 area_under_roc_curve 0.7833333333333333 [0.783333,0.783333] area_under_roc_curve 0.6422222222222224 [0.642222,0.642222] area_under_roc_curve 0.6977777777777778 [0.697778,0.697778] area_under_roc_curve 0.6066666666666667 [0.606667,0.606667] area_under_roc_curve 0.7648148148148148 [0.764815,0.764815] area_under_roc_curve 0.8018518518518518 [0.801852,0.801852] area_under_roc_curve 0.7548148148148148 [0.754815,0.754815] area_under_roc_curve 0.7677777777777778 [0.767778,0.767778] area_under_roc_curve 0.7676923076923078 [0.767692,0.767692] area_under_roc_curve 0.7084615384615386 [0.708462,0.708462] 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 0.688825590794173 [0.785047,0.510638] f_measure 0.7348651348651349 [0.807692,0.6] f_measure 0.6604823747680889 [0.785714,0.428571] f_measure 0.799893983567453 [0.857143,0.693878] f_measure 0.8286619148983513 [0.873786,0.745098] f_measure 0.7878921078921078 [0.846154,0.68] f_measure 0.8179396551489576 [0.882883,0.697674] f_measure 0.8089892491688613 [0.867925,0.695652] f_measure 0.7459877154745392 [0.815534,0.612245] kappa 0.5866564417177915 kappa 0.302481291847184 kappa 0.4095092024539878 kappa 0.23762376237623756 kappa 0.5531914893617023 kappa 0.619536297985557 kappa 0.5276073619631902 kappa 0.5909276665304456 kappa 0.5667752442996743 kappa 0.42879746835443044 kb_relative_information_score 0.5842302549694615 kb_relative_information_score 0.316949704592687 kb_relative_information_score 0.40604322138494553 kb_relative_information_score 0.2872518656619342 kb_relative_information_score 0.5545324160387091 kb_relative_information_score 0.613928093900214 kb_relative_information_score 0.5248345771079562 kb_relative_information_score 0.6139280939002145 kb_relative_information_score 0.5752761162417858 kb_relative_information_score 0.42358901489956674 mean_absolute_error 0.18181818181818182 mean_absolute_error 0.2987012987012987 mean_absolute_error 0.2597402597402597 mean_absolute_error 0.3116883116883117 mean_absolute_error 0.19480519480519481 mean_absolute_error 0.16883116883116883 mean_absolute_error 0.2077922077922078 mean_absolute_error 0.16883116883116883 mean_absolute_error 0.18421052631578946 mean_absolute_error 0.25 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 0.6888585099111415 [0.736842,0.6] precision 0.7337348641696468 [0.777778,0.652174] precision 0.6712191034771681 [0.709677,0.6] precision 0.8022432113341206 [0.818182,0.772727] precision 0.8289328595932369 [0.849057,0.791667] precision 0.788276136102223 [0.814815,0.73913] precision 0.8503433042367468 [0.803279,0.9375] precision 0.8140977443609022 [0.821429,0.8] precision 0.7444626743232158 [0.792453,0.652174] predictive_accuracy 0.8181818181818181 predictive_accuracy 0.7012987012987013 predictive_accuracy 0.7402597402597402 predictive_accuracy 0.6883116883116882 predictive_accuracy 0.8051948051948052 predictive_accuracy 0.8311688311688311 predictive_accuracy 0.7922077922077922 predictive_accuracy 0.8311688311688311 predictive_accuracy 0.8157894736842105 predictive_accuracy 0.75 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 0.7012987012987013 [0.84,0.444444] recall 0.7402597402597403 [0.84,0.555556] recall 0.6883116883116883 [0.88,0.333333] recall 0.8051948051948052 [0.9,0.62963] recall 0.8311688311688312 [0.9,0.703704] recall 0.7922077922077922 [0.88,0.62963] recall 0.8311688311688312 [0.98,0.555556] recall 0.8157894736842105 [0.92,0.615385] recall 0.75 [0.84,0.576923] relative_absolute_error 0.3995996589687507 relative_absolute_error 0.6564851540200902 relative_absolute_error 0.5708566556696436 relative_absolute_error 0.6850279868035726 relative_absolute_error 0.4281424917522329 relative_absolute_error 0.3710568261852685 relative_absolute_error 0.45668532453571503 relative_absolute_error 0.3710568261852685 relative_absolute_error 0.4071612025985791 relative_absolute_error 0.5525759178123575 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 0.5465357250000211 root_mean_squared_error 0.5096471914376255 root_mean_squared_error 0.5582905262390825 root_mean_squared_error 0.4413674147523748 root_mean_squared_error 0.4108907018066591 root_mean_squared_error 0.4558423058385518 root_mean_squared_error 0.4108907018066591 root_mean_squared_error 0.42919753763947605 root_mean_squared_error 0.5 root_relative_squared_error 0.8935953242997315 root_relative_squared_error 1.1453567717103283 root_relative_squared_error 1.0680506967704846 root_relative_squared_error 1.169990918360609 root_relative_squared_error 0.9249590359329101 root_relative_squared_error 0.8610900005613504 root_relative_squared_error 0.9552935845579276 root_relative_squared_error 0.8610900005613504 root_relative_squared_error 0.9045831544436581 root_relative_squared_error 1.0538074838671416 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 532.3707369971089 usercpu_time_millis 481.88006800046423 usercpu_time_millis 537.7530569967348 usercpu_time_millis 534.4823750056094 usercpu_time_millis 502.4570030000177 usercpu_time_millis 540.3072289991542 usercpu_time_millis 540.6182509905193 usercpu_time_millis 543.7329550040886 usercpu_time_millis 515.5488230011542 usercpu_time_millis 515.4033540020464 usercpu_time_millis_testing 3.1095099984668195 usercpu_time_millis_testing 2.7184869977645576 usercpu_time_millis_testing 3.143574002024252 usercpu_time_millis_testing 3.002682002261281 usercpu_time_millis_testing 3.0693959997734055 usercpu_time_millis_testing 3.167643000779208 usercpu_time_millis_testing 3.0660479969810694 usercpu_time_millis_testing 3.160968000884168 usercpu_time_millis_testing 3.1383690002257936 usercpu_time_millis_testing 3.0882210048730485 usercpu_time_millis_training 529.2612269986421 usercpu_time_millis_training 479.1615810026997 usercpu_time_millis_training 534.6094829947106 usercpu_time_millis_training 531.4796930033481 usercpu_time_millis_training 499.3876070002443 usercpu_time_millis_training 537.139585998375 usercpu_time_millis_training 537.5522029935382 usercpu_time_millis_training 540.5719870032044 usercpu_time_millis_training 512.4104540009284 usercpu_time_millis_training 512.3151329971734 wall_clock_time_millis 532.4256420135498 wall_clock_time_millis 482.14221000671387 wall_clock_time_millis 537.8003120422363 wall_clock_time_millis 534.5048904418945 wall_clock_time_millis 502.48026847839355 wall_clock_time_millis 540.3351783752441 wall_clock_time_millis 540.6432151794434 wall_clock_time_millis 543.7617301940918 wall_clock_time_millis 515.575647354126 wall_clock_time_millis 515.4478549957275 wall_clock_time_millis_testing 3.1239986419677734 wall_clock_time_millis_testing 2.728700637817383 wall_clock_time_millis_testing 3.162384033203125 wall_clock_time_millis_testing 3.014802932739258 wall_clock_time_millis_testing 3.0791759490966797 wall_clock_time_millis_testing 3.1821727752685547 wall_clock_time_millis_testing 3.078937530517578 wall_clock_time_millis_testing 3.175020217895508 wall_clock_time_millis_testing 3.152132034301758 wall_clock_time_millis_testing 3.101348876953125 wall_clock_time_millis_training 529.301643371582 wall_clock_time_millis_training 479.4135093688965 wall_clock_time_millis_training 534.6379280090332 wall_clock_time_millis_training 531.4900875091553 wall_clock_time_millis_training 499.4010925292969 wall_clock_time_millis_training 537.1530055999756 wall_clock_time_millis_training 537.5642776489258 wall_clock_time_millis_training 540.5867099761963 wall_clock_time_millis_training 512.4235153198242 wall_clock_time_millis_training 512.3465061187744