10313727 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) 8172678 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-09 15084 kernel "laplace" 15084 kernel_params null 15084 n_components 1000 15084 n_epoch 2 15084 random_state 50970 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 21549063 description https://api.openml.org/data/download/21549063/description.xml -1 21549064 predictions https://api.openml.org/data/download/21549064/predictions.arff area_under_roc_curve 0.7279701492537315 [0.72797,0.72797] average_cost 0 f_measure 0.7599828479149945 [0.822612,0.643137] kappa 0.4664386489952972 kb_relative_information_score 0.4572106865318875 mean_absolute_error 0.23697916666666666 mean_prior_absolute_error 0.4544913419913401 number_of_instances 768 [500,268] precision 0.7588027592726435 [0.802281,0.677686] predictive_accuracy 0.7630208333333333 prior_entropy 0.9331348051619819 recall 0.7630208333333334 [0.844,0.61194] relative_absolute_error 0.521416240028577 root_mean_prior_squared_error 0.4766409223329586 root_mean_squared_error 0.48680506023116343 root_relative_squared_error 1.0213245179378547 total_cost 0 area_under_roc_curve 0.8188888888888889 [0.818889,0.818889] area_under_roc_curve 0.6692592592592592 [0.669259,0.669259] area_under_roc_curve 0.7233333333333334 [0.723333,0.723333] area_under_roc_curve 0.6622222222222223 [0.662222,0.662222] area_under_roc_curve 0.6777777777777779 [0.677778,0.677778] area_under_roc_curve 0.8103703703703704 [0.81037,0.81037] area_under_roc_curve 0.6877777777777778 [0.687778,0.687778] area_under_roc_curve 0.7848148148148149 [0.784815,0.784815] area_under_roc_curve 0.7184615384615385 [0.718462,0.718462] area_under_roc_curve 0.7269230769230769 [0.726923,0.726923] 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 0.8318509773055228 [0.868687,0.763636] f_measure 0.7083516483516483 [0.788462,0.56] f_measure 0.7422475483699973 [0.795918,0.642857] f_measure 0.7112593828190158 [0.807339,0.533333] f_measure 0.7115923292393881 [0.784314,0.576923] f_measure 0.8304118821585662 [0.871287,0.754717] f_measure 0.7232230932973366 [0.796117,0.588235] f_measure 0.8241188121880109 [0.878505,0.723404] f_measure 0.7578441295546557 [0.826923,0.625] f_measure 0.7510958643034115 [0.808081,0.641509] kappa 0.6323907455012855 kappa 0.3504601226993866 kappa 0.43918426802622007 kappa 0.35138387484957884 kappa 0.3617181612660135 kappa 0.6260739633918567 kappa 0.3854047890535918 kappa 0.6057502953918867 kappa 0.45367412140575086 kappa 0.4496951219512195 kb_relative_information_score 0.6139280939002139 kb_relative_information_score 0.34664754352343985 kb_relative_information_score 0.40604322138494553 kb_relative_information_score 0.37634538245419263 kb_relative_information_score 0.34664754352343985 kb_relative_information_score 0.6139280939002139 kb_relative_information_score 0.37634538245419263 kb_relative_information_score 0.6139280939002144 kb_relative_information_score 0.45392643516801073 kb_relative_information_score 0.42358901489956674 mean_absolute_error 0.16883116883116883 mean_absolute_error 0.2857142857142857 mean_absolute_error 0.2597402597402597 mean_absolute_error 0.2727272727272727 mean_absolute_error 0.2857142857142857 mean_absolute_error 0.16883116883116883 mean_absolute_error 0.2727272727272727 mean_absolute_error 0.16883116883116883 mean_absolute_error 0.23684210526315788 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 0.8328253379273788 [0.877551,0.75] precision 0.7064642282033586 [0.759259,0.608696] precision 0.7452418271383789 [0.8125,0.62069] precision 0.7180277349768875 [0.745763,0.666667] precision 0.70989010989011 [0.769231,0.6] precision 0.8299543593661242 [0.862745,0.769231] precision 0.7214837049742711 [0.773585,0.625] precision 0.8334814308498518 [0.824561,0.85] precision 0.7571327308169413 [0.796296,0.681818] precision 0.7524565381708238 [0.816327,0.62963] predictive_accuracy 0.8311688311688311 predictive_accuracy 0.7142857142857143 predictive_accuracy 0.7402597402597402 predictive_accuracy 0.7272727272727273 predictive_accuracy 0.7142857142857143 predictive_accuracy 0.8311688311688311 predictive_accuracy 0.7272727272727273 predictive_accuracy 0.8311688311688311 predictive_accuracy 0.763157894736842 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 0.8311688311688312 [0.86,0.777778] recall 0.7142857142857143 [0.82,0.518519] recall 0.7402597402597403 [0.78,0.666667] recall 0.7272727272727273 [0.88,0.444444] recall 0.7142857142857143 [0.8,0.555556] recall 0.8311688311688312 [0.88,0.740741] recall 0.7272727272727273 [0.82,0.555556] recall 0.8311688311688312 [0.94,0.62963] recall 0.7631578947368421 [0.86,0.576923] recall 0.75 [0.8,0.653846] relative_absolute_error 0.3710568261852685 relative_absolute_error 0.6279423212366081 relative_absolute_error 0.5708566556696436 relative_absolute_error 0.599399488453126 relative_absolute_error 0.6279423212366081 relative_absolute_error 0.3710568261852685 relative_absolute_error 0.599399488453126 relative_absolute_error 0.3710568261852685 relative_absolute_error 0.5234929747696018 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 0.4108907018066591 root_mean_squared_error 0.5345224838248488 root_mean_squared_error 0.5096471914376255 root_mean_squared_error 0.5222329678670935 root_mean_squared_error 0.5345224838248488 root_mean_squared_error 0.4108907018066591 root_mean_squared_error 0.5222329678670935 root_mean_squared_error 0.4108907018066591 root_mean_squared_error 0.4866642633922876 root_mean_squared_error 0.5 root_relative_squared_error 0.8610900005613504 root_relative_squared_error 1.1201810210671799 root_relative_squared_error 1.0680506967704846 root_relative_squared_error 1.0944262905356 root_relative_squared_error 1.1201810210671799 root_relative_squared_error 0.8610900005613504 root_relative_squared_error 1.0944262905356 root_relative_squared_error 0.8610900005613504 root_relative_squared_error 1.025700885786965 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 703.8840000000164 usercpu_time_millis 772.74599999987 usercpu_time_millis 672.8400000001784 usercpu_time_millis 652.641999999787 usercpu_time_millis 718.3459999998831 usercpu_time_millis 677.4219999999787 usercpu_time_millis 745.5419999998867 usercpu_time_millis 691.2760000000162 usercpu_time_millis 608.232000000271 usercpu_time_millis 633.7239999998019 usercpu_time_millis_testing 5.658000000039465 usercpu_time_millis_testing 2.05599999981132 usercpu_time_millis_testing 2.3400000000037835 usercpu_time_millis_testing 3.4559999999146385 usercpu_time_millis_testing 3.0639999999948486 usercpu_time_millis_testing 2.007999999932508 usercpu_time_millis_testing 1.97400000001835 usercpu_time_millis_testing 2.944000000070446 usercpu_time_millis_testing 3.3580000001620647 usercpu_time_millis_testing 3.3320000000003347 usercpu_time_millis_training 698.2259999999769 usercpu_time_millis_training 770.6900000000587 usercpu_time_millis_training 670.5000000001746 usercpu_time_millis_training 649.1859999998724 usercpu_time_millis_training 715.2819999998883 usercpu_time_millis_training 675.4140000000461 usercpu_time_millis_training 743.5679999998683 usercpu_time_millis_training 688.3319999999458 usercpu_time_millis_training 604.8740000001089 usercpu_time_millis_training 630.3919999998016 wall_clock_time_millis 188.3258819580078 wall_clock_time_millis 225.64196586608887 wall_clock_time_millis 175.50325393676758 wall_clock_time_millis 168.49994659423828 wall_clock_time_millis 193.0711269378662 wall_clock_time_millis 179.34417724609375 wall_clock_time_millis 206.32004737854004 wall_clock_time_millis 188.49802017211914 wall_clock_time_millis 154.19316291809082 wall_clock_time_millis 164.1697883605957 wall_clock_time_millis_testing 1.7857551574707031 wall_clock_time_millis_testing 1.0581016540527344 wall_clock_time_millis_testing 1.1892318725585938 wall_clock_time_millis_testing 1.1258125305175781 wall_clock_time_millis_testing 0.9729862213134766 wall_clock_time_millis_testing 1.0590553283691406 wall_clock_time_millis_testing 0.9939670562744141 wall_clock_time_millis_testing 0.9860992431640625 wall_clock_time_millis_testing 1.1219978332519531 wall_clock_time_millis_testing 1.1227130889892578 wall_clock_time_millis_training 186.5401268005371 wall_clock_time_millis_training 224.58386421203613 wall_clock_time_millis_training 174.31402206420898 wall_clock_time_millis_training 167.3741340637207 wall_clock_time_millis_training 192.09814071655273 wall_clock_time_millis_training 178.2851219177246 wall_clock_time_millis_training 205.32608032226562 wall_clock_time_millis_training 187.51192092895508 wall_clock_time_millis_training 153.07116508483887 wall_clock_time_millis_training 163.04707527160645