10314686 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) 8173558 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 1000000000.0 15084 kernel "laplace" 15084 kernel_params null 15084 n_components 2000 15084 n_epoch 2 15084 random_state 33515 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 21551018 description https://api.openml.org/data/download/21551018/description.xml -1 21551019 predictions https://api.openml.org/data/download/21551019/predictions.arff area_under_roc_curve 0.7271044776119403 [0.727104,0.727104] average_cost 0 f_measure 0.7597172541540284 [0.822957,0.641732] kappa 0.46549192364170344 kb_relative_information_score 0.4572106865318875 mean_absolute_error 0.23697916666666666 mean_prior_absolute_error 0.4544913419913401 number_of_instances 768 [500,268] precision 0.7585740214646465 [0.801136,0.679167] predictive_accuracy 0.7630208333333333 prior_entropy 0.9331348051619819 recall 0.7630208333333334 [0.846,0.608209] 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 0.6792592592592593 [0.679259,0.679259] 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 0.7198515769944341 [0.8,0.571429] 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 0.3744680851063831 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 0.71900826446281 [0.763636,0.636364] 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 [0.84,0.518519] 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 505.9285449970048 usercpu_time_millis 501.25294300960377 usercpu_time_millis 506.6797299950849 usercpu_time_millis 601.5622700069798 usercpu_time_millis 657.7890390035463 usercpu_time_millis 608.8339659909252 usercpu_time_millis 613.0465780006489 usercpu_time_millis 630.4990499920677 usercpu_time_millis 582.3757019970799 usercpu_time_millis 572.1227370086126 usercpu_time_millis_testing 3.500421007629484 usercpu_time_millis_testing 3.430618002312258 usercpu_time_millis_testing 3.713660000357777 usercpu_time_millis_testing 3.2854680030141026 usercpu_time_millis_testing 3.6303689994383603 usercpu_time_millis_testing 3.439544001594186 usercpu_time_millis_testing 3.498288002447225 usercpu_time_millis_testing 3.657084991573356 usercpu_time_millis_testing 3.560858007404022 usercpu_time_millis_testing 3.3367120049661025 usercpu_time_millis_training 502.4281239893753 usercpu_time_millis_training 497.8223250072915 usercpu_time_millis_training 502.96606999472715 usercpu_time_millis_training 598.2768020039657 usercpu_time_millis_training 654.158670004108 usercpu_time_millis_training 605.394421989331 usercpu_time_millis_training 609.5482899982017 usercpu_time_millis_training 626.8419650004944 usercpu_time_millis_training 578.8148439896759 usercpu_time_millis_training 568.7860250036465 wall_clock_time_millis 505.9683322906494 wall_clock_time_millis 501.5432834625244 wall_clock_time_millis 508.6648464202881 wall_clock_time_millis 603.2750606536865 wall_clock_time_millis 660.8819961547852 wall_clock_time_millis 610.7931137084961 wall_clock_time_millis 615.1096820831299 wall_clock_time_millis 634.1831684112549 wall_clock_time_millis 584.4149589538574 wall_clock_time_millis 573.7595558166504 wall_clock_time_millis_testing 3.515481948852539 wall_clock_time_millis_testing 3.448486328125 wall_clock_time_millis_testing 3.726482391357422 wall_clock_time_millis_testing 3.3664703369140625 wall_clock_time_millis_testing 3.810405731201172 wall_clock_time_millis_testing 3.4503936767578125 wall_clock_time_millis_testing 3.515005111694336 wall_clock_time_millis_testing 3.6749839782714844 wall_clock_time_millis_testing 3.574848175048828 wall_clock_time_millis_testing 3.3521652221679688 wall_clock_time_millis_training 502.4528503417969 wall_clock_time_millis_training 498.0947971343994 wall_clock_time_millis_training 504.93836402893066 wall_clock_time_millis_training 599.9085903167725 wall_clock_time_millis_training 657.071590423584 wall_clock_time_millis_training 607.3427200317383 wall_clock_time_millis_training 611.5946769714355 wall_clock_time_millis_training 630.5081844329834 wall_clock_time_millis_training 580.8401107788086 wall_clock_time_millis_training 570.4073905944824