10362832 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) 8218304 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 2.5204673858904836 13389 cache_size 200 13389 class_weight null 13389 coef0 0.3166845643208457 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.0015867847554796588 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 58167 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 21647366 description https://api.openml.org/data/download/21647366/description.xml -1 21647367 predictions https://api.openml.org/data/download/21647367/predictions.arff area_under_roc_curve 0.7134626865671642 [0.713463,0.713463] average_cost 0 f_measure 0.7607589011663598 [0.839779,0.613333] kappa 0.46126556150422504 kb_relative_information_score 0.48106955745356283 mean_absolute_error 0.2265625 mean_prior_absolute_error 0.4544913419913401 number_of_instances 768 [500,268] precision 0.7712074082061284 [0.778157,0.758242] predictive_accuracy 0.7734375 prior_entropy 0.9331348051619819 recall 0.7734375 [0.912,0.514925] relative_absolute_error 0.4984968448624857 root_mean_prior_squared_error 0.4766409223329586 root_mean_squared_error 0.4759858191164943 root_relative_squared_error 0.9986255833568426 total_cost 0 area_under_roc_curve 0.7933333333333333 [0.793333,0.793333] area_under_roc_curve 0.6437037037037037 [0.643704,0.643704] area_under_roc_curve 0.7092592592592593 [0.709259,0.709259] area_under_roc_curve 0.6366666666666667 [0.636667,0.636667] area_under_roc_curve 0.7192592592592593 [0.719259,0.719259] area_under_roc_curve 0.8203703703703704 [0.82037,0.82037] area_under_roc_curve 0.7092592592592593 [0.709259,0.709259] area_under_roc_curve 0.7392592592592593 [0.739259,0.739259] area_under_roc_curve 0.72 [0.72,0.72] area_under_roc_curve 0.6415384615384615 [0.641538,0.641538] 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 0.8265747857584592 [0.87619,0.734694] f_measure 0.6948051948051948 [0.8,0.5] f_measure 0.7545642763034068 [0.833333,0.608696] f_measure 0.6926117360899968 [0.817391,0.461538] f_measure 0.7662575956153937 [0.844037,0.622222] f_measure 0.8426867250396664 [0.882353,0.769231] f_measure 0.7545642763034068 [0.833333,0.608696] f_measure 0.7899303713257201 [0.864865,0.651163] f_measure 0.773980405559353 [0.854545,0.619048] f_measure 0.6949317738791423 [0.796296,0.5] kappa 0.6127659574468087 kappa 0.31417004048582997 kappa 0.44912559618441983 kappa 0.3133757961783441 kappa 0.47492980344965907 kappa 0.6518462697814618 kappa 0.44912559618441983 kappa 0.5279934613812833 kappa 0.4847457627118644 kappa 0.30564784053156147 kb_relative_information_score 0.6139280939002143 kb_relative_information_score 0.34664754352343985 kb_relative_information_score 0.4654388992464511 kb_relative_information_score 0.3763453824541927 kb_relative_information_score 0.4951367381772037 kb_relative_information_score 0.6436259328309667 kb_relative_information_score 0.4654388992464511 kb_relative_information_score 0.5545324160387091 kb_relative_information_score 0.5146012757048981 kb_relative_information_score 0.33257675409423476 mean_absolute_error 0.16883116883116883 mean_absolute_error 0.2857142857142857 mean_absolute_error 0.23376623376623376 mean_absolute_error 0.2727272727272727 mean_absolute_error 0.22077922077922077 mean_absolute_error 0.15584415584415584 mean_absolute_error 0.23376623376623376 mean_absolute_error 0.19480519480519481 mean_absolute_error 0.21052631578947367 mean_absolute_error 0.2894736842105263 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 0.8299881936245572 [0.836364,0.818182] precision 0.7030812324929973 [0.733333,0.647059] precision 0.7621797440309238 [0.775862,0.736842] precision 0.7325174825174825 [0.723077,0.75] precision 0.7790006603565925 [0.779661,0.777778] precision 0.8424575424575425 [0.865385,0.8] precision 0.7621797440309238 [0.775862,0.736842] precision 0.8177826272088567 [0.786885,0.875] precision 0.7933114035087719 [0.783333,0.8125] precision 0.6968138737648719 [0.741379,0.611111] predictive_accuracy 0.8311688311688311 predictive_accuracy 0.7142857142857143 predictive_accuracy 0.7662337662337663 predictive_accuracy 0.7272727272727273 predictive_accuracy 0.7792207792207791 predictive_accuracy 0.8441558441558442 predictive_accuracy 0.7662337662337663 predictive_accuracy 0.8051948051948052 predictive_accuracy 0.7894736842105263 predictive_accuracy 0.7105263157894737 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 [0.92,0.666667] recall 0.7142857142857143 [0.88,0.407407] recall 0.7662337662337663 [0.9,0.518519] recall 0.7272727272727273 [0.94,0.333333] recall 0.7792207792207793 [0.92,0.518519] recall 0.8441558441558441 [0.9,0.740741] recall 0.7662337662337663 [0.9,0.518519] recall 0.8051948051948052 [0.96,0.518519] recall 0.7894736842105263 [0.94,0.5] recall 0.7105263157894737 [0.86,0.423077] relative_absolute_error 0.3710568261852685 relative_absolute_error 0.6279423212366081 relative_absolute_error 0.5137709901026793 relative_absolute_error 0.599399488453126 relative_absolute_error 0.4852281573191972 relative_absolute_error 0.3425139934017863 relative_absolute_error 0.5137709901026793 relative_absolute_error 0.4281424917522329 relative_absolute_error 0.46532708868409045 relative_absolute_error 0.6398247469406244 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 0.48349377841522817 root_mean_squared_error 0.5222329678670935 root_mean_squared_error 0.4698714938993648 root_mean_squared_error 0.39477101697586137 root_mean_squared_error 0.48349377841522817 root_mean_squared_error 0.4413674147523748 root_mean_squared_error 0.45883146774112354 root_mean_squared_error 0.5380275868489703 root_relative_squared_error 0.8610900005613504 root_relative_squared_error 1.1201810210671799 root_relative_squared_error 1.0132418574973725 root_relative_squared_error 1.0944262905356 root_relative_squared_error 0.9846940881518128 root_relative_squared_error 0.827308512299463 root_relative_squared_error 1.0132418574973725 root_relative_squared_error 0.9249590359329101 root_relative_squared_error 0.9670400690786819 root_relative_squared_error 1.133954995096847 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 48.29809800139628 usercpu_time_millis 33.706393995089456 usercpu_time_millis 34.54194500227459 usercpu_time_millis 34.42483900289517 usercpu_time_millis 34.84807300264947 usercpu_time_millis 35.06420300982427 usercpu_time_millis 34.519659995567054 usercpu_time_millis 34.966384002473205 usercpu_time_millis 34.96279900718946 usercpu_time_millis 34.17225000157487 usercpu_time_millis_testing 3.5139469982823357 usercpu_time_millis_testing 3.0713390005985275 usercpu_time_millis_testing 3.2171680068131536 usercpu_time_millis_testing 3.1128230039030313 usercpu_time_millis_testing 3.238067001802847 usercpu_time_millis_testing 3.2819240004755557 usercpu_time_millis_testing 3.1542399956379086 usercpu_time_millis_testing 3.190782997990027 usercpu_time_millis_testing 3.2035250042099506 usercpu_time_millis_testing 3.13284998992458 usercpu_time_millis_training 44.78415100311395 usercpu_time_millis_training 30.63505499449093 usercpu_time_millis_training 31.324776995461434 usercpu_time_millis_training 31.312015998992138 usercpu_time_millis_training 31.610006000846624 usercpu_time_millis_training 31.782279009348713 usercpu_time_millis_training 31.365419999929145 usercpu_time_millis_training 31.77560100448318 usercpu_time_millis_training 31.75927400297951 usercpu_time_millis_training 31.039400011650287 wall_clock_time_millis 48.363447189331055 wall_clock_time_millis 33.722877502441406 wall_clock_time_millis 34.5613956451416 wall_clock_time_millis 34.44027900695801 wall_clock_time_millis 34.865617752075195 wall_clock_time_millis 35.07876396179199 wall_clock_time_millis 34.53183174133301 wall_clock_time_millis 35.132408142089844 wall_clock_time_millis 34.979820251464844 wall_clock_time_millis 34.18779373168945 wall_clock_time_millis_testing 3.5262107849121094 wall_clock_time_millis_testing 3.080129623413086 wall_clock_time_millis_testing 3.2291412353515625 wall_clock_time_millis_testing 3.1235218048095703 wall_clock_time_millis_testing 3.2508373260498047 wall_clock_time_millis_testing 3.2918453216552734 wall_clock_time_millis_testing 3.162860870361328 wall_clock_time_millis_testing 3.2007694244384766 wall_clock_time_millis_testing 3.215312957763672 wall_clock_time_millis_testing 3.142833709716797 wall_clock_time_millis_training 44.837236404418945 wall_clock_time_millis_training 30.64274787902832 wall_clock_time_millis_training 31.33225440979004 wall_clock_time_millis_training 31.316757202148438 wall_clock_time_millis_training 31.61478042602539 wall_clock_time_millis_training 31.78691864013672 wall_clock_time_millis_training 31.36897087097168 wall_clock_time_millis_training 31.931638717651367 wall_clock_time_millis_training 31.764507293701172 wall_clock_time_millis_training 31.044960021972656