10328814 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) 8184438 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 9752.749987151079 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.10517868292249122 13389 decision_function_shape "ovr" 13389 degree 4 13389 gamma 0.05040735556381989 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 42367 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 21579316 description https://api.openml.org/data/download/21579316/description.xml -1 21579317 predictions https://api.openml.org/data/download/21579317/predictions.arff area_under_roc_curve 0.3427611940298507 [0.342761,0.342761] average_cost 0 f_measure 0.40260109970305497 [0.540541,0.145251] kappa -0.3142056130513884 kb_relative_information_score -0.36890271913111566 mean_absolute_error 0.59765625 mean_prior_absolute_error 0.4544913419913401 number_of_instances 768 [500,268] precision 0.4028595061870954 [0.541082,0.144981] predictive_accuracy 0.40234375 prior_entropy 0.9331348051619819 recall 0.40234375 [0.54,0.145522] relative_absolute_error 1.3150002976544881 root_mean_prior_squared_error 0.4766409223329586 root_mean_squared_error 0.7730823048033113 root_relative_squared_error 1.6219385885278077 total_cost 0 area_under_roc_curve 0.3655555555555556 [0.365556,0.365556] area_under_roc_curve 0.3425925925925926 [0.342593,0.342593] area_under_roc_curve 0.3996296296296296 [0.39963,0.39963] area_under_roc_curve 0.34111111111111103 [0.341111,0.341111] area_under_roc_curve 0.3655555555555556 [0.365556,0.365556] area_under_roc_curve 0.32851851851851854 [0.328519,0.328519] area_under_roc_curve 0.3625925925925926 [0.362593,0.362593] area_under_roc_curve 0.31407407407407406 [0.314074,0.314074] area_under_roc_curve 0.2784615384615384 [0.278462,0.278462] area_under_roc_curve 0.32769230769230767 [0.327692,0.327692] 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 0.42636275289336506 [0.590476,0.122449] f_measure 0.3962342595006729 [0.515464,0.175439] f_measure 0.44761857784104125 [0.556701,0.245614] f_measure 0.3878972091738049 [0.489362,0.2] f_measure 0.42636275289336506 [0.590476,0.122449] f_measure 0.3911805037277299 [0.579439,0.042553] f_measure 0.41794569067296344 [0.545455,0.181818] f_measure 0.3705421003304888 [0.494845,0.140351] f_measure 0.3475752874249115 [0.489796,0.074074] f_measure 0.39473684210526316 [0.54,0.115385] kappa -0.28085106382978714 kappa -0.3069700252798844 kappa -0.1957385337667028 kappa -0.30232558139534876 kappa -0.28085106382978714 kappa -0.3647105159511618 kappa -0.2724935732647815 kappa -0.3625857710364752 kappa -0.43504531722054396 kappa -0.3446153846153845 kb_relative_information_score -0.2770070740223699 kb_relative_information_score -0.3957984297453813 kb_relative_information_score -0.2770070740223699 kb_relative_information_score -0.4254962686761341 kb_relative_information_score -0.27700707402236985 kb_relative_information_score -0.33640275188387564 kb_relative_information_score -0.33640275188387553 kb_relative_information_score -0.455194107606887 kb_relative_information_score -0.5168710134221969 kb_relative_information_score -0.39552133234842096 mean_absolute_error 0.5584415584415584 mean_absolute_error 0.6103896103896104 mean_absolute_error 0.5584415584415584 mean_absolute_error 0.6233766233766234 mean_absolute_error 0.5584415584415584 mean_absolute_error 0.5844155844155844 mean_absolute_error 0.5844155844155844 mean_absolute_error 0.6363636363636364 mean_absolute_error 0.6578947368421053 mean_absolute_error 0.6052631578947368 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 0.41381345926800467 [0.563636,0.136364] precision 0.40384084001105275 [0.531915,0.166667] precision 0.4548494059132357 [0.574468,0.233333] precision 0.40318772136953956 [0.522727,0.181818] precision 0.41381345926800467 [0.563636,0.136364] precision 0.3706880838459786 [0.54386,0.05] precision 0.42042141531937444 [0.55102,0.178571] precision 0.37833655705996133 [0.510638,0.133333] precision 0.3533834586466165 [0.5,0.071429] precision 0.39473684210526316 [0.54,0.115385] predictive_accuracy 0.4415584415584416 predictive_accuracy 0.3896103896103896 predictive_accuracy 0.4415584415584416 predictive_accuracy 0.37662337662337664 predictive_accuracy 0.4415584415584416 predictive_accuracy 0.41558441558441556 predictive_accuracy 0.41558441558441556 predictive_accuracy 0.36363636363636365 predictive_accuracy 0.34210526315789475 predictive_accuracy 0.39473684210526316 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 0.44155844155844154 [0.62,0.111111] recall 0.38961038961038963 [0.5,0.185185] recall 0.44155844155844154 [0.54,0.259259] recall 0.37662337662337664 [0.46,0.222222] recall 0.44155844155844154 [0.62,0.111111] recall 0.4155844155844156 [0.62,0.037037] recall 0.4155844155844156 [0.54,0.185185] recall 0.36363636363636365 [0.48,0.148148] recall 0.34210526315789475 [0.48,0.076923] recall 0.39473684210526316 [0.54,0.115385] relative_absolute_error 1.227341809689734 relative_absolute_error 1.3415131408236627 relative_absolute_error 1.227341809689734 relative_absolute_error 1.3700559736071451 relative_absolute_error 1.227341809689734 relative_absolute_error 1.2844274752566986 relative_absolute_error 1.2844274752566986 relative_absolute_error 1.3985988063906272 relative_absolute_error 1.454147152137783 relative_absolute_error 1.33781537996676 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 0.7472894743280936 root_mean_squared_error 0.7812743502698718 root_mean_squared_error 0.7472894743280936 root_mean_squared_error 0.7895420339517227 root_mean_squared_error 0.7472894743280936 root_mean_squared_error 0.7644707871564383 root_mean_squared_error 0.7644707871564383 root_mean_squared_error 0.7977240352174656 root_mean_squared_error 0.8111071056538127 root_mean_squared_error 0.7779866052154991 root_relative_squared_error 1.566069738349676 root_relative_squared_error 1.6372907144270399 root_relative_squared_error 1.566069738349676 root_relative_squared_error 1.654617024598926 root_relative_squared_error 1.566069738349676 root_relative_squared_error 1.6020760451557272 root_relative_squared_error 1.6020760451557272 root_relative_squared_error 1.6717637729763728 root_relative_squared_error 1.7095014763116083 root_relative_squared_error 1.6396962138489686 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 18.444437999278307 usercpu_time_millis 17.828372001531534 usercpu_time_millis 18.40901000832673 usercpu_time_millis 18.8113789918134 usercpu_time_millis 19.192163992556743 usercpu_time_millis 19.24522100307513 usercpu_time_millis 19.06869599770289 usercpu_time_millis 18.36898099281825 usercpu_time_millis 18.964366987347603 usercpu_time_millis 18.674802005989477 usercpu_time_millis_testing 1.6804820043034852 usercpu_time_millis_testing 1.5945839986670762 usercpu_time_millis_testing 1.6566359990974888 usercpu_time_millis_testing 1.7192799859913066 usercpu_time_millis_testing 1.7023620021063834 usercpu_time_millis_testing 1.6408950032200664 usercpu_time_millis_testing 1.661956004681997 usercpu_time_millis_testing 1.6596969944657758 usercpu_time_millis_testing 1.5879619895713404 usercpu_time_millis_testing 1.673708000453189 usercpu_time_millis_training 16.763955994974822 usercpu_time_millis_training 16.233788002864458 usercpu_time_millis_training 16.752374009229243 usercpu_time_millis_training 17.092099005822092 usercpu_time_millis_training 17.48980199045036 usercpu_time_millis_training 17.604325999855064 usercpu_time_millis_training 17.406739993020892 usercpu_time_millis_training 16.709283998352475 usercpu_time_millis_training 17.376404997776262 usercpu_time_millis_training 17.001094005536288 wall_clock_time_millis 18.455982208251953 wall_clock_time_millis 17.857074737548828 wall_clock_time_millis 18.421411514282227 wall_clock_time_millis 18.82338523864746 wall_clock_time_millis 19.205331802368164 wall_clock_time_millis 19.255638122558594 wall_clock_time_millis 19.082307815551758 wall_clock_time_millis 18.38374137878418 wall_clock_time_millis 18.999099731445312 wall_clock_time_millis 18.68748664855957 wall_clock_time_millis_testing 1.6851425170898438 wall_clock_time_millis_testing 1.5995502471923828 wall_clock_time_millis_testing 1.6608238220214844 wall_clock_time_millis_testing 1.7242431640625 wall_clock_time_millis_testing 1.7066001892089844 wall_clock_time_millis_testing 1.645803451538086 wall_clock_time_millis_testing 1.6677379608154297 wall_clock_time_millis_testing 1.667022705078125 wall_clock_time_millis_testing 1.5933513641357422 wall_clock_time_millis_testing 1.6791820526123047 wall_clock_time_millis_training 16.77083969116211 wall_clock_time_millis_training 16.257524490356445 wall_clock_time_millis_training 16.760587692260742 wall_clock_time_millis_training 17.09914207458496 wall_clock_time_millis_training 17.49873161315918 wall_clock_time_millis_training 17.609834671020508 wall_clock_time_millis_training 17.414569854736328 wall_clock_time_millis_training 16.716718673706055 wall_clock_time_millis_training 17.40574836730957 wall_clock_time_millis_training 17.008304595947266