10398484 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) 8236253 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 178.98949887421563 13389 cache_size 200 13389 class_weight null 13389 coef0 0.6241865569172633 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.07357492743555877 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 21718721 description https://api.openml.org/data/download/21718721/description.xml -1 21718722 predictions https://api.openml.org/data/download/21718722/predictions.arff area_under_roc_curve 0.7653049578036879 [0.765305,0.765305] average_cost 0 f_measure 0.8391032747087289 [0.652009,0.897953] kappa 0.5503648995920685 kb_relative_information_score 0.5114049941615082 mean_absolute_error 0.15781499529093812 mean_prior_absolute_error 0.3640575712202595 number_of_instances 48842 [11687,37155] precision 0.8373361170160749 [0.690146,0.883634] predictive_accuracy 0.8421850047090619 prior_entropy 0.7938438398153179 recall 0.8421850047090619 [0.617866,0.912744] relative_absolute_error 0.43348911756448005 root_mean_prior_squared_error 0.426645054364785 root_mean_squared_error 0.3972593551962472 root_relative_squared_error 0.9311237787291615 total_cost 0 area_under_roc_curve 0.7659748932091223 [0.765975,0.765975] area_under_roc_curve 0.7620006795573853 [0.762001,0.762001] area_under_roc_curve 0.7636331966910952 [0.763633,0.763633] area_under_roc_curve 0.7549365387734639 [0.754937,0.754937] area_under_roc_curve 0.7727574760015925 [0.772757,0.772757] area_under_roc_curve 0.7654822253205568 [0.765482,0.765482] area_under_roc_curve 0.7633584973870755 [0.763358,0.763358] area_under_roc_curve 0.7560394304642014 [0.756039,0.756039] area_under_roc_curve 0.7748258913820119 [0.774826,0.774826] area_under_roc_curve 0.7740423018604207 [0.774042,0.774042] 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 0.8407785256967252 [0.654248,0.899458] f_measure 0.8364422759052966 [0.646528,0.896186] f_measure 0.8381453956397815 [0.64948,0.897446] f_measure 0.8295213880913975 [0.633601,0.891102] f_measure 0.8432689376746207 [0.662483,0.900093] f_measure 0.8373713363779909 [0.650581,0.896149] f_measure 0.8379133546625556 [0.649186,0.8973] f_measure 0.8344839760831005 [0.639232,0.895924] f_measure 0.8472599893285868 [0.668483,0.903516] f_measure 0.8458505872950592 [0.666365,0.902329] kappa 0.5542086292846361 kappa 0.5431076278206827 kappa 0.5473492467659945 kappa 0.5249744035966861 kappa 0.5628626812009362 kappa 0.5469984236876221 kappa 0.5469167855965315 kappa 0.5357942395001025 kappa 0.5724735574945674 kappa 0.5691038502193817 kb_relative_information_score 0.5177185508357159 kb_relative_information_score 0.5031423703747717 kb_relative_information_score 0.508584660248447 kb_relative_information_score 0.48005086632738775 kb_relative_information_score 0.5225345150542962 kb_relative_information_score 0.5043594343531302 kb_relative_information_score 0.5081623031432612 kb_relative_information_score 0.4999227540979805 kb_relative_information_score 0.5373176305342535 kb_relative_information_score 0.5322471388140804 mean_absolute_error 0.15578300921187307 mean_absolute_error 0.16049129989764585 mean_absolute_error 0.15868140868140868 mean_absolute_error 0.1678951678951679 mean_absolute_error 0.1541769041769042 mean_absolute_error 0.1601146601146601 mean_absolute_error 0.1588861588861589 mean_absolute_error 0.16154791154791154 mean_absolute_error 0.14946764946764945 mean_absolute_error 0.1511056511056511 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 0.839006419184406 [0.697674,0.883467] precision 0.8346285980018173 [0.683508,0.882169] precision 0.83634203111793 [0.688399,0.882843] precision 0.8277498701362577 [0.662617,0.879654] precision 0.8416840777659081 [0.695202,0.887726] precision 0.8357208562708001 [0.68101,0.884404] precision 0.836104185048549 [0.688399,0.882583] precision 0.8325225607340758 [0.68664,0.878427] precision 0.8456572413751035 [0.712488,0.887562] precision 0.8442270406637559 [0.706616,0.887529] predictive_accuracy 0.844216990788127 predictive_accuracy 0.8395087001023542 predictive_accuracy 0.8413185913185913 predictive_accuracy 0.832104832104832 predictive_accuracy 0.8458230958230958 predictive_accuracy 0.8398853398853399 predictive_accuracy 0.8411138411138411 predictive_accuracy 0.8384520884520884 predictive_accuracy 0.8505323505323505 predictive_accuracy 0.848894348894349 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 0.844216990788127 [0.615911,0.916039] recall 0.8395087001023541 [0.613345,0.910657] recall 0.8413185913185913 [0.614726,0.91254] recall 0.8321048321048321 [0.607021,0.902853] recall 0.8458230958230958 [0.632705,0.912809] recall 0.8398853398853399 [0.622754,0.90821] recall 0.8411138411138411 [0.6142,0.912517] recall 0.8384520884520884 [0.597947,0.914132] recall 0.8505323505323505 [0.629598,0.920054] recall 0.8488943488943489 [0.630453,0.917631] relative_absolute_error 0.4278939998737343 relative_absolute_error 0.44082640722865657 relative_absolute_error 0.4359523697209013 relative_absolute_error 0.46126573312405034 relative_absolute_error 0.42357694761269504 relative_absolute_error 0.43976101947902285 relative_absolute_error 0.43638689400987446 relative_absolute_error 0.44369749919302953 relative_absolute_error 0.41051859874640245 relative_absolute_error 0.41501743270526714 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 0.39469356368184305 root_mean_squared_error 0.4006136541577756 root_mean_squared_error 0.39834835092091025 root_mean_squared_error 0.40975012860909255 root_mean_squared_error 0.39265366950648023 root_mean_squared_error 0.40014329947490074 root_mean_squared_error 0.39860526700754834 root_mean_squared_error 0.4019302321895077 root_mean_squared_error 0.386610462180797 root_mean_squared_error 0.38872310338549615 root_relative_squared_error 0.925080452200395 root_relative_squared_error 0.9389559254243706 root_relative_squared_error 0.9338548529628532 root_relative_squared_error 0.9605842354289718 root_relative_squared_error 0.9205047139133289 root_relative_squared_error 0.9377877063051712 root_relative_squared_error 0.9341831277912385 root_relative_squared_error 0.9419756148218251 root_relative_squared_error 0.9060717473912203 root_relative_squared_error 0.9110229959869123 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 1268022.1968840342 usercpu_time_millis 1116666.9256309979 usercpu_time_millis 1176146.804799093 usercpu_time_millis 1114981.0708949808 usercpu_time_millis 1089431.2362649944 usercpu_time_millis 1144287.371849874 usercpu_time_millis 1011508.4644489689 usercpu_time_millis 1047073.4626540216 usercpu_time_millis 1137770.6714330707 usercpu_time_millis 1193201.6879590228 usercpu_time_millis_testing 9229.585235007107 usercpu_time_millis_testing 5583.299383986741 usercpu_time_millis_testing 7526.672167005017 usercpu_time_millis_testing 9134.705235948786 usercpu_time_millis_testing 5538.578198989853 usercpu_time_millis_testing 5531.07507689856 usercpu_time_millis_testing 9196.636575972661 usercpu_time_millis_testing 5585.869814036414 usercpu_time_millis_testing 8979.564856970683 usercpu_time_millis_testing 5606.084588100202 usercpu_time_millis_training 1258792.611649027 usercpu_time_millis_training 1111083.6262470111 usercpu_time_millis_training 1168620.132632088 usercpu_time_millis_training 1105846.365659032 usercpu_time_millis_training 1083892.6580660045 usercpu_time_millis_training 1138756.2967729755 usercpu_time_millis_training 1002311.8278729962 usercpu_time_millis_training 1041487.5928399852 usercpu_time_millis_training 1128791.1065761 usercpu_time_millis_training 1187595.6033709226 wall_clock_time_millis 1268033.144235611 wall_clock_time_millis 1116699.2349624634 wall_clock_time_millis 1176243.6287403107 wall_clock_time_millis 1115058.2659244537 wall_clock_time_millis 1089440.4187202454 wall_clock_time_millis 1144304.5885562897 wall_clock_time_millis 1011545.069694519 wall_clock_time_millis 1047074.6538639069 wall_clock_time_millis 1137791.1672592163 wall_clock_time_millis 1193203.4752368927 wall_clock_time_millis_testing 9229.627132415771 wall_clock_time_millis_testing 5583.349943161011 wall_clock_time_millis_testing 7526.712894439697 wall_clock_time_millis_testing 9134.773969650269 wall_clock_time_millis_testing 5538.593292236328 wall_clock_time_millis_testing 5531.099796295166 wall_clock_time_millis_testing 9196.667909622192 wall_clock_time_millis_testing 5585.904121398926 wall_clock_time_millis_testing 8979.61139678955 wall_clock_time_millis_testing 5606.126546859741 wall_clock_time_millis_training 1258803.5171031952 wall_clock_time_millis_training 1111115.8850193024 wall_clock_time_millis_training 1168716.915845871 wall_clock_time_millis_training 1105923.4919548035 wall_clock_time_millis_training 1083901.825428009 wall_clock_time_millis_training 1138773.4887599945 wall_clock_time_millis_training 1002348.4017848969 wall_clock_time_millis_training 1041488.7497425079 wall_clock_time_millis_training 1128811.5558624268 wall_clock_time_millis_training 1187597.348690033