10398483 8323 Heinrich Peters 7592 Supervised Classification 16374 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,columntransformer=sklearn.compose._column_transformer.ColumnTransformer(num=sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler),cat=sklearn.pipeline.Pipeline(onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),svc=sklearn.svm.classes.SVC)(2) 8236252 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 4268.510636410245 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.0061078893286028715 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 1 13389 shrinking true 13389 tol 0.001 13389 verbose false 13389 categorical_features null 16348 categories null 16348 drop null 16348 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 16348 handle_unknown "ignore" 16348 n_values null 16348 sparse true 16348 memory null 16374 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}] 16374 verbose false 16374 n_jobs null 16375 remainder "drop" 16375 sparse_threshold 0.3 16375 transformer_weights null 16375 transformers [{"oml-python:serialized_object": "component_reference", "value": {"key": "num", "step_name": "num", "argument_1": [true, false, true, false, true, false, false, false, false, false, true, true, true, false]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "cat", "step_name": "cat", "argument_1": [false, true, false, true, false, true, true, true, true, true, false, false, false, true]}}] 16375 verbose false 16375 memory null 16376 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}] 16376 verbose false 16376 memory null 16377 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}] 16377 verbose false 16377 openml-python Sklearn_0.21.2. 1590 adult https://www.openml.org/data/download/1595261/phpMawTba -1 21718718 description https://api.openml.org/data/download/21718718/description.xml -1 21718719 predictions https://api.openml.org/data/download/21718719/predictions.arff area_under_roc_curve 0.7665163052750662 [0.766516,0.766516] average_cost 0 f_measure 0.847981767066076 [0.662038,0.90647] kappa 0.5697933820551514 kb_relative_information_score 0.5463951917772526 mean_absolute_error 0.1465132467957905 mean_prior_absolute_error 0.3640575712202595 number_of_instances 48842 [11687,37155] precision 0.8470756278908914 [0.7388,0.881133] predictive_accuracy 0.8534867532042095 prior_entropy 0.7938438398153179 recall 0.8534867532042095 [0.599726,0.933306] relative_absolute_error 0.4024452679412842 root_mean_prior_squared_error 0.426645054364785 root_mean_squared_error 0.3827704884075972 root_relative_squared_error 0.897163776989022 total_cost 0 area_under_roc_curve 0.7680262264951874 [0.768026,0.768026] area_under_roc_curve 0.7668107580011436 [0.766811,0.766811] area_under_roc_curve 0.7625212889098604 [0.762521,0.762521] area_under_roc_curve 0.7681840467729331 [0.768184,0.768184] area_under_roc_curve 0.7690770750696728 [0.769077,0.769077] area_under_roc_curve 0.7623411895685652 [0.762341,0.762341] area_under_roc_curve 0.7557817646767607 [0.755782,0.755782] area_under_roc_curve 0.7669172326372059 [0.766917,0.766917] area_under_roc_curve 0.7660618006440494 [0.766062,0.766062] area_under_roc_curve 0.7794407339905844 [0.779441,0.779441] 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 0.8507493906971603 [0.666349,0.908759] f_measure 0.8453243329282079 [0.659545,0.903768] f_measure 0.8465053032599201 [0.656816,0.906128] f_measure 0.8484132643045228 [0.663846,0.906426] f_measure 0.8503205399757124 [0.666667,0.908046] f_measure 0.8433256224887559 [0.653558,0.90304] f_measure 0.8415185062065373 [0.645684,0.903142] f_measure 0.8495566083356574 [0.664129,0.907905] f_measure 0.849071965691684 [0.662857,0.907668] f_measure 0.8549488989495186 [0.680614,0.909807] kappa 0.5766231077733459 kappa 0.5642221625343062 kappa 0.5644768639480653 kappa 0.5714235220133815 kappa 0.5760282837210772 kappa 0.5577049550271693 kappa 0.550449177684474 kappa 0.5735085556699265 kappa 0.5720308198722678 kappa 0.5912929888637259 kb_relative_information_score 0.5563771164060484 kb_relative_information_score 0.5354634661794759 kb_relative_information_score 0.5434592972630757 kb_relative_information_score 0.5466297188098594 kb_relative_information_score 0.5536046462127844 kb_relative_information_score 0.5309795158840392 kb_relative_information_score 0.5290780814889757 kb_relative_information_score 0.5525291056947731 kb_relative_information_score 0.5512614827647299 kb_relative_information_score 0.5645715235301825 mean_absolute_error 0.14329580348004095 mean_absolute_error 0.15005117707267143 mean_absolute_error 0.14742014742014742 mean_absolute_error 0.1463963963963964 mean_absolute_error 0.14414414414414414 mean_absolute_error 0.15151515151515152 mean_absolute_error 0.15212940212940212 mean_absolute_error 0.14455364455364456 mean_absolute_error 0.14496314496314497 mean_absolute_error 0.14066339066339067 mean_prior_absolute_error 0.3640691602542745 mean_prior_absolute_error 0.3640691602542745 mean_prior_absolute_error 0.36398794846096894 mean_prior_absolute_error 0.36398794846096894 mean_prior_absolute_error 0.36398794846096894 mean_prior_absolute_error 0.36409470831304036 mean_prior_absolute_error 0.36409470831304036 mean_prior_absolute_error 0.36409470831304036 mean_prior_absolute_error 0.36409470831304036 mean_prior_absolute_error 0.36409470831304036 number_of_instances 4885 [1169,3716] number_of_instances 4885 [1169,3716] number_of_instances 4884 [1168,3716] number_of_instances 4884 [1168,3716] number_of_instances 4884 [1168,3716] number_of_instances 4884 [1169,3715] number_of_instances 4884 [1169,3715] number_of_instances 4884 [1169,3715] number_of_instances 4884 [1169,3715] number_of_instances 4884 [1169,3715] precision 0.8503776704881598 [0.752422,0.881193] precision 0.8438594202398555 [0.721545,0.882338] precision 0.8458552006498554 [0.74086,0.878857] precision 0.8473511713662347 [0.736184,0.882293] precision 0.8495967532532963 [0.745763,0.882234] precision 0.841952735423748 [0.72182,0.879755] precision 0.8406610222062416 [0.729526,0.875632] precision 0.8490358269782422 [0.748124,0.88079] precision 0.848567348467491 [0.747583,0.880344] precision 0.8538771345571293 [0.745418,0.888006] predictive_accuracy 0.856704196519959 predictive_accuracy 0.8499488229273285 predictive_accuracy 0.8525798525798526 predictive_accuracy 0.8536036036036037 predictive_accuracy 0.8558558558558559 predictive_accuracy 0.8484848484848484 predictive_accuracy 0.8478705978705979 predictive_accuracy 0.8554463554463554 predictive_accuracy 0.855036855036855 predictive_accuracy 0.8593366093366093 prior_entropy 0.7938809255859894 prior_entropy 0.7938809255859894 prior_entropy 0.7936210418137764 prior_entropy 0.7936210418137764 prior_entropy 0.7936210418137764 prior_entropy 0.7939626812721351 prior_entropy 0.7939626812721351 prior_entropy 0.7939626812721351 prior_entropy 0.7939626812721351 prior_entropy 0.7939626812721351 recall 0.8567041965199591 [0.597947,0.938105] recall 0.8499488229273285 [0.607357,0.926265] recall 0.8525798525798526 [0.589897,0.935145] recall 0.8536036036036037 [0.604452,0.931916] recall 0.8558558558558559 [0.60274,0.935414] recall 0.8484848484848485 [0.597092,0.927591] recall 0.8478705978705978 [0.579127,0.932436] recall 0.8554463554463555 [0.597092,0.936743] recall 0.855036855036855 [0.595381,0.936743] recall 0.8593366093366094 [0.626176,0.932705] relative_absolute_error 0.39359500645415774 relative_absolute_error 0.4121501996155679 relative_absolute_error 0.4050138144503857 relative_absolute_error 0.40220121851670243 relative_absolute_error 0.39601350746259933 relative_absolute_error 0.41614214119498333 relative_absolute_error 0.4178292039295576 relative_absolute_error 0.39702209686980844 relative_absolute_error 0.3981468053595246 relative_absolute_error 0.3863373662175048 root_mean_prior_squared_error 0.426658635735979 root_mean_prior_squared_error 0.426658635735979 root_mean_prior_squared_error 0.42656345325728656 root_mean_prior_squared_error 0.42656345325728656 root_mean_prior_squared_error 0.42656345325728656 root_mean_prior_squared_error 0.42668857438048746 root_mean_prior_squared_error 0.42668857438048746 root_mean_prior_squared_error 0.42668857438048746 root_mean_prior_squared_error 0.42668857438048746 root_mean_prior_squared_error 0.42668857438048746 root_mean_squared_error 0.3785443216851112 root_mean_squared_error 0.3873643983030338 root_mean_squared_error 0.3839533141153328 root_mean_squared_error 0.38261782028075536 root_mean_squared_error 0.3796631983009996 root_mean_squared_error 0.3892494720807615 root_mean_squared_error 0.3900376932161841 root_mean_squared_error 0.38020211013833755 root_mean_squared_error 0.38074025918353444 root_mean_squared_error 0.3750511840581105 root_relative_squared_error 0.887229953829784 root_relative_squared_error 0.9079023975099829 root_relative_squared_error 0.9001083219469976 root_relative_squared_error 0.8969775009064714 root_relative_squared_error 0.8900509300594054 root_relative_squared_error 0.9122566092750805 root_relative_squared_error 0.9141039077094645 root_relative_squared_error 0.891052943450281 root_relative_squared_error 0.8923141655159954 root_relative_squared_error 0.8789810802941004 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 2634861.94861494 usercpu_time_millis 2726732.35648009 usercpu_time_millis 2692691.4513250813 usercpu_time_millis 2702929.2481009616 usercpu_time_millis 2251605.763575877 usercpu_time_millis 2722230.731055024 usercpu_time_millis 2721148.9523469936 usercpu_time_millis 2812641.0032879794 usercpu_time_millis 2800405.503612943 usercpu_time_millis 3049493.5305949766 usercpu_time_millis_testing 8735.488036996685 usercpu_time_millis_testing 8671.545492019504 usercpu_time_millis_testing 5286.866982001811 usercpu_time_millis_testing 8742.349606007338 usercpu_time_millis_testing 5313.113498967141 usercpu_time_millis_testing 5352.880396996625 usercpu_time_millis_testing 7078.728063963354 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