10367932 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) 8223284 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 0.6924057373577415 13389 cache_size 200 13389 class_weight null 13389 coef0 0.46594279667222027 13389 decision_function_shape "ovr" 13389 degree 2 13389 gamma 0.027501589087229522 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 51197 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 21657569 description https://api.openml.org/data/download/21657569/description.xml -1 21657570 predictions https://api.openml.org/data/download/21657570/predictions.arff area_under_roc_curve 0.7153283582089552 [0.715328,0.715328] average_cost 0 f_measure 0.7623357251848596 [0.840553,0.616408] kappa 0.4648622522957951 kb_relative_information_score 0.4840519163187722 mean_absolute_error 0.22526041666666666 mean_prior_absolute_error 0.4544913419913401 number_of_instances 768 [500,268] precision 0.7725344157208912 [0.779487,0.759563] predictive_accuracy 0.7747395833333333 prior_entropy 0.9331348051619819 recall 0.7747395833333334 [0.912,0.518657] 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 0.6537037037037037 [0.653704,0.653704] area_under_roc_curve 0.7092592592592593 [0.709259,0.709259] area_under_roc_curve 0.6081481481481481 [0.608148,0.608148] area_under_roc_curve 0.7277777777777777 [0.727778,0.727778] area_under_roc_curve 0.8403703703703703 [0.84037,0.84037] area_under_roc_curve 0.7092592592592593 [0.709259,0.709259] area_under_roc_curve 0.7122222222222221 [0.712222,0.712222] area_under_roc_curve 0.72 [0.72,0.72] area_under_roc_curve 0.6607692307692308 [0.660769,0.660769] 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 0.7059025198560083 [0.810811,0.511628] f_measure 0.7545642763034068 [0.833333,0.608696] f_measure 0.6633366633366634 [0.8,0.410256] f_measure 0.7700015236304757 [0.841121,0.638298] f_measure 0.8674325674325674 [0.903846,0.8] f_measure 0.7545642763034068 [0.833333,0.608696] f_measure 0.7686033264980632 [0.859649,0.6] f_measure 0.773980405559353 [0.854545,0.619048] f_measure 0.7112313494015413 [0.803738,0.533333] kappa 0.6260739633918567 kappa 0.33919084593379656 kappa 0.44912559618441983 kappa 0.24798301486199587 kappa 0.48444269397400563 kappa 0.7047546012269937 kappa 0.44912559618441983 kappa 0.48191757779646777 kappa 0.4847457627118644 kappa 0.34375000000000006 kb_relative_information_score 0.6139280939002139 kb_relative_information_score 0.37634538245419263 kb_relative_information_score 0.4654388992464511 kb_relative_information_score 0.316949704592687 kb_relative_information_score 0.4951367381772037 kb_relative_information_score 0.7030216106924724 kb_relative_information_score 0.4654388992464511 kb_relative_information_score 0.5248345771079564 kb_relative_information_score 0.5146012757048981 kb_relative_information_score 0.3629141743626787 mean_absolute_error 0.16883116883116883 mean_absolute_error 0.2727272727272727 mean_absolute_error 0.23376623376623376 mean_absolute_error 0.2987012987012987 mean_absolute_error 0.22077922077922077 mean_absolute_error 0.12987012987012986 mean_absolute_error 0.23376623376623376 mean_absolute_error 0.2077922077922078 mean_absolute_error 0.21052631578947367 mean_absolute_error 0.27631578947368424 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 0.7201005961251863 [0.737705,0.6875] precision 0.7621797440309238 [0.775862,0.736842] precision 0.6933066933066934 [0.707692,0.666667] precision 0.7756322624743677 [0.789474,0.75] precision 0.8700880440010875 [0.87037,0.869565] precision 0.7621797440309238 [0.775862,0.736842] precision 0.8208354145854145 [0.765625,0.923077] precision 0.7933114035087719 [0.783333,0.8125] precision 0.7123730378578024 [0.754386,0.631579] predictive_accuracy 0.8311688311688311 predictive_accuracy 0.7272727272727273 predictive_accuracy 0.7662337662337663 predictive_accuracy 0.7012987012987013 predictive_accuracy 0.7792207792207791 predictive_accuracy 0.8701298701298701 predictive_accuracy 0.7662337662337663 predictive_accuracy 0.7922077922077922 predictive_accuracy 0.7894736842105263 predictive_accuracy 0.7236842105263157 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 0.7272727272727273 [0.9,0.407407] recall 0.7662337662337663 [0.9,0.518519] recall 0.7012987012987013 [0.92,0.296296] recall 0.7792207792207793 [0.9,0.555556] recall 0.8701298701298701 [0.94,0.740741] recall 0.7662337662337663 [0.9,0.518519] recall 0.7922077922077922 [0.98,0.444444] recall 0.7894736842105263 [0.94,0.5] recall 0.7236842105263158 [0.86,0.461538] relative_absolute_error 0.3710568261852685 relative_absolute_error 0.599399488453126 relative_absolute_error 0.5137709901026793 relative_absolute_error 0.6564851540200902 relative_absolute_error 0.4852281573191972 relative_absolute_error 0.2854283278348218 relative_absolute_error 0.5137709901026793 relative_absolute_error 0.45668532453571503 relative_absolute_error 0.46532708868409045 relative_absolute_error 0.6107418038978688 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 0.5222329678670935 root_mean_squared_error 0.48349377841522817 root_mean_squared_error 0.5465357250000211 root_mean_squared_error 0.4698714938993648 root_mean_squared_error 0.3603749850782236 root_mean_squared_error 0.48349377841522817 root_mean_squared_error 0.4558423058385518 root_mean_squared_error 0.45883146774112354 root_mean_squared_error 0.5256574830378469 root_relative_squared_error 0.8610900005613504 root_relative_squared_error 1.0944262905356 root_relative_squared_error 1.0132418574973725 root_relative_squared_error 1.1453567717103283 root_relative_squared_error 0.9846940881518128 root_relative_squared_error 0.7552258903374266 root_relative_squared_error 1.0132418574973725 root_relative_squared_error 0.9552935845579276 root_relative_squared_error 0.9670400690786819 root_relative_squared_error 1.1078835791520962 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 19.43280499995126 usercpu_time_millis 18.588953000062247 usercpu_time_millis 12.723844999982248 usercpu_time_millis 12.07883999995829 usercpu_time_millis 11.941269999852011 usercpu_time_millis 11.963763000039762 usercpu_time_millis 12.26942199991754 usercpu_time_millis 19.379209999897284 usercpu_time_millis 19.197006999775112 usercpu_time_millis 19.010539999953835 usercpu_time_millis_testing 1.5498820000630076 usercpu_time_millis_testing 1.5368340000350145 usercpu_time_millis_testing 0.8787760000359413 usercpu_time_millis_testing 0.8756110000831541 usercpu_time_millis_testing 0.9414799999376555 usercpu_time_millis_testing 0.8902090000901808 usercpu_time_millis_testing 1.2906540000585665 usercpu_time_millis_testing 1.4762399998744513 usercpu_time_millis_testing 1.5724019999652228 usercpu_time_millis_testing 1.4803089998167707 usercpu_time_millis_training 17.88292299988825 usercpu_time_millis_training 17.052119000027233 usercpu_time_millis_training 11.845068999946307 usercpu_time_millis_training 11.203228999875137 usercpu_time_millis_training 10.999789999914356 usercpu_time_millis_training 11.073553999949581 usercpu_time_millis_training 10.978767999858974 usercpu_time_millis_training 17.902970000022833 usercpu_time_millis_training 17.62460499980989 usercpu_time_millis_training 17.530231000137064 wall_clock_time_millis 19.4394588470459 wall_clock_time_millis 18.595218658447266 wall_clock_time_millis 12.726545333862305 wall_clock_time_millis 12.081623077392578 wall_clock_time_millis 11.945724487304688 wall_clock_time_millis 11.967658996582031 wall_clock_time_millis 12.27426528930664 wall_clock_time_millis 19.385099411010742 wall_clock_time_millis 19.20294761657715 wall_clock_time_millis 19.017696380615234 wall_clock_time_millis_testing 1.5530586242675781 wall_clock_time_millis_testing 1.5397071838378906 wall_clock_time_millis_testing 0.8809566497802734 wall_clock_time_millis_testing 0.87738037109375 wall_clock_time_millis_testing 0.9436607360839844 wall_clock_time_millis_testing 0.89263916015625 wall_clock_time_millis_testing 1.2941360473632812 wall_clock_time_millis_testing 1.4793872833251953 wall_clock_time_millis_testing 1.5747547149658203 wall_clock_time_millis_testing 1.483917236328125 wall_clock_time_millis_training 17.88640022277832 wall_clock_time_millis_training 17.055511474609375 wall_clock_time_millis_training 11.845588684082031 wall_clock_time_millis_training 11.204242706298828 wall_clock_time_millis_training 11.002063751220703 wall_clock_time_millis_training 11.075019836425781 wall_clock_time_millis_training 10.98012924194336 wall_clock_time_millis_training 17.905712127685547 wall_clock_time_millis_training 17.628192901611328 wall_clock_time_millis_training 17.53377914428711