10362761 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) 8218233 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 81.8664880584341 13389 cache_size 200 13389 class_weight null 13389 coef0 0.1339044447397313 13389 decision_function_shape "ovr" 13389 degree 4 13389 gamma 0.6339071538529285 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 47037 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 21647224 description https://api.openml.org/data/download/21647224/description.xml -1 21647225 predictions https://api.openml.org/data/download/21647225/predictions.arff area_under_roc_curve 0.6555223880597015 [0.655522,0.655522] average_cost 0 f_measure 0.6889862163299663 [0.763889,0.549242] kappa 0.31321389924251525 kb_relative_information_score 0.2901985900801606 mean_absolute_error 0.3098958333333333 mean_prior_absolute_error 0.4544913419913401 number_of_instances 768 [500,268] precision 0.6880189405410863 [0.757874,0.557692] predictive_accuracy 0.6901041666666667 prior_entropy 0.9331348051619819 recall 0.6901041666666666 [0.77,0.541045] relative_absolute_error 0.681852006191216 root_mean_prior_squared_error 0.4766409223329586 root_mean_squared_error 0.5566828839953077 root_relative_squared_error 1.1679292689989291 total_cost 0 area_under_roc_curve 0.6692592592592592 [0.669259,0.669259] area_under_roc_curve 0.6107407407407407 [0.610741,0.610741] area_under_roc_curve 0.6933333333333334 [0.693333,0.693333] area_under_roc_curve 0.7248148148148148 [0.724815,0.724815] area_under_roc_curve 0.5922222222222222 [0.592222,0.592222] area_under_roc_curve 0.6392592592592593 [0.639259,0.639259] area_under_roc_curve 0.5737037037037037 [0.573704,0.573704] area_under_roc_curve 0.6877777777777778 [0.687778,0.687778] area_under_roc_curve 0.6884615384615383 [0.688462,0.688462] area_under_roc_curve 0.6776923076923078 [0.677692,0.677692] 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 0.7083516483516483 [0.788462,0.56] f_measure 0.6477785244831762 [0.732673,0.490566] f_measure 0.7060949754972948 [0.757895,0.610169] f_measure 0.7521404431548276 [0.811881,0.641509] f_measure 0.6329356917592212 [0.72549,0.461538] f_measure 0.6738690041510889 [0.752475,0.528302] f_measure 0.617784271696322 [0.718447,0.431373] f_measure 0.7232230932973366 [0.796117,0.588235] f_measure 0.722343132146032 [0.792079,0.588235] f_measure 0.7009421397918414 [0.762887,0.581818] kappa 0.3504601226993866 kappa 0.22338438550616366 kappa 0.37087033747779763 kappa 0.4534927157265597 kappa 0.18764129615674444 kappa 0.28091146806126266 kappa 0.1512732801216267 kappa 0.3854047890535918 kappa 0.3804347826086957 kappa 0.34580838323353286 kb_relative_information_score 0.34664754352343985 kb_relative_information_score 0.19815834886967554 kb_relative_information_score 0.316949704592687 kb_relative_information_score 0.4357410603156983 kb_relative_information_score 0.1684605099389228 kb_relative_information_score 0.25755402673118133 kb_relative_information_score 0.1387626710081699 kb_relative_information_score 0.37634538245419263 kb_relative_information_score 0.3629141743626787 kb_relative_information_score 0.30223933382579077 mean_absolute_error 0.2857142857142857 mean_absolute_error 0.35064935064935066 mean_absolute_error 0.2987012987012987 mean_absolute_error 0.24675324675324675 mean_absolute_error 0.36363636363636365 mean_absolute_error 0.3246753246753247 mean_absolute_error 0.37662337662337664 mean_absolute_error 0.2727272727272727 mean_absolute_error 0.27631578947368424 mean_absolute_error 0.3026315789473684 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 0.7064642282033586 [0.759259,0.608696] precision 0.6464222052457347 [0.72549,0.5] precision 0.7167207792207793 [0.8,0.5625] precision 0.7512977218859571 [0.803922,0.653846] precision 0.6303496503496504 [0.711538,0.48] precision 0.6726410844057903 [0.745098,0.538462] precision 0.6140345503553051 [0.698113,0.458333] precision 0.7214837049742711 [0.773585,0.625] precision 0.7212590299277606 [0.784314,0.6] precision 0.7066648646561378 [0.787234,0.551724] predictive_accuracy 0.7142857142857143 predictive_accuracy 0.6493506493506493 predictive_accuracy 0.7012987012987013 predictive_accuracy 0.7532467532467533 predictive_accuracy 0.6363636363636364 predictive_accuracy 0.6753246753246753 predictive_accuracy 0.6233766233766234 predictive_accuracy 0.7272727272727273 predictive_accuracy 0.7236842105263157 predictive_accuracy 0.6973684210526316 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 0.7142857142857143 [0.82,0.518519] recall 0.6493506493506493 [0.74,0.481481] recall 0.7012987012987013 [0.72,0.666667] recall 0.7532467532467533 [0.82,0.62963] recall 0.6363636363636364 [0.74,0.444444] recall 0.6753246753246753 [0.76,0.518519] recall 0.6233766233766234 [0.74,0.407407] recall 0.7272727272727273 [0.82,0.555556] recall 0.7236842105263158 [0.8,0.576923] recall 0.6973684210526315 [0.74,0.615385] relative_absolute_error 0.6279423212366081 relative_absolute_error 0.7706564851540191 relative_absolute_error 0.6564851540200902 relative_absolute_error 0.5423138228861615 relative_absolute_error 0.7991993179375014 relative_absolute_error 0.7135708195870546 relative_absolute_error 0.8277421507209834 relative_absolute_error 0.599399488453126 relative_absolute_error 0.6107418038978688 relative_absolute_error 0.66890768998338 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 0.5345224838248488 root_mean_squared_error 0.592156525463792 root_mean_squared_error 0.5465357250000211 root_mean_squared_error 0.496742636335202 root_mean_squared_error 0.6030226891555273 root_mean_squared_error 0.5698028822981898 root_mean_squared_error 0.6136964857512031 root_mean_squared_error 0.5222329678670935 root_mean_squared_error 0.5256574830378469 root_mean_squared_error 0.5501196042201808 root_relative_squared_error 1.1201810210671799 root_relative_squared_error 1.2409627684491944 root_relative_squared_error 1.1453567717103283 root_relative_squared_error 1.0410070491251833 root_relative_squared_error 1.2637346268978644 root_relative_squared_error 1.1941169806974095 root_relative_squared_error 1.28610334801068 root_relative_squared_error 1.0944262905356 root_relative_squared_error 1.1078835791520962 root_relative_squared_error 1.159440311898513 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 62.64368699339684 usercpu_time_millis 62.51073500607163 usercpu_time_millis 62.85141500120517 usercpu_time_millis 61.47202198917512 usercpu_time_millis 62.820020990329795 usercpu_time_millis 63.453847003984265 usercpu_time_millis 61.11882101686206 usercpu_time_millis 63.29393800115213 usercpu_time_millis 61.98452701210044 usercpu_time_millis 63.52010399859864 usercpu_time_millis_testing 3.3653669961495325 usercpu_time_millis_testing 3.4921690094051883 usercpu_time_millis_testing 3.4623679966898635 usercpu_time_millis_testing 3.3351829915773124 usercpu_time_millis_testing 3.4383619931759313 usercpu_time_millis_testing 3.572465997422114 usercpu_time_millis_testing 3.3162520121550187 usercpu_time_millis_testing 3.497425001114607 usercpu_time_millis_testing 3.310181011329405 usercpu_time_millis_testing 3.4463710035197437 usercpu_time_millis_training 59.27831999724731 usercpu_time_millis_training 59.01856599666644 usercpu_time_millis_training 59.389047004515305 usercpu_time_millis_training 58.136838997597806 usercpu_time_millis_training 59.38165899715386 usercpu_time_millis_training 59.88138100656215 usercpu_time_millis_training 57.80256900470704 usercpu_time_millis_training 59.79651300003752 usercpu_time_millis_training 58.67434600077104 usercpu_time_millis_training 60.0737329950789 wall_clock_time_millis 63.75765800476074 wall_clock_time_millis 62.52861022949219 wall_clock_time_millis 62.86501884460449 wall_clock_time_millis 61.48672103881836 wall_clock_time_millis 62.83283233642578 wall_clock_time_millis 63.47060203552246 wall_clock_time_millis 61.13886833190918 wall_clock_time_millis 63.31229209899902 wall_clock_time_millis 62.120914459228516 wall_clock_time_millis 63.539981842041016 wall_clock_time_millis_testing 3.3757686614990234 wall_clock_time_millis_testing 3.5054683685302734 wall_clock_time_millis_testing 3.4706592559814453 wall_clock_time_millis_testing 3.3473968505859375 wall_clock_time_millis_testing 3.448486328125 wall_clock_time_millis_testing 3.584623336791992 wall_clock_time_millis_testing 3.327608108520508 wall_clock_time_millis_testing 3.5097599029541016 wall_clock_time_millis_testing 3.3206939697265625 wall_clock_time_millis_testing 3.4596920013427734 wall_clock_time_millis_training 60.38188934326172 wall_clock_time_millis_training 59.023141860961914 wall_clock_time_millis_training 59.39435958862305 wall_clock_time_millis_training 58.13932418823242 wall_clock_time_millis_training 59.38434600830078 wall_clock_time_millis_training 59.88597869873047 wall_clock_time_millis_training 57.81126022338867 wall_clock_time_millis_training 59.80253219604492 wall_clock_time_millis_training 58.80022048950195 wall_clock_time_millis_training 60.08028984069824