10398514 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) 8236283 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 1.68536554317688 13389 cache_size 200 13389 class_weight null 13389 coef0 0.2168646578884883 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.0008080068502590277 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 21718783 description https://api.openml.org/data/download/21718783/description.xml -1 21718784 predictions https://api.openml.org/data/download/21718784/predictions.arff area_under_roc_curve 0.7441650037537092 [0.744165,0.744165] average_cost 0 f_measure 0.8393033239144354 [0.63206,0.904491] kappa 0.5396522307124749 kb_relative_information_score 0.5304847939482819 mean_absolute_error 0.15165226649195365 mean_prior_absolute_error 0.3640575712202595 number_of_instances 48842 [11687,37155] precision 0.8407284461959669 [0.753434,0.868187] predictive_accuracy 0.8483477335080464 prior_entropy 0.7938438398153179 recall 0.8483477335080464 [0.544366,0.943964] relative_absolute_error 0.41656122130255624 root_mean_prior_squared_error 0.426645054364785 root_mean_squared_error 0.38942555962847847 root_relative_squared_error 0.9127623902925087 total_cost 0 area_under_roc_curve 0.739825515814442 [0.739826,0.739826] area_under_roc_curve 0.7426225896661237 [0.742623,0.742623] area_under_roc_curve 0.7479305520739638 [0.747931,0.747931] area_under_roc_curve 0.745361598124364 [0.745362,0.745362] area_under_roc_curve 0.7377418272704485 [0.737742,0.737742] area_under_roc_curve 0.7382363133759398 [0.738236,0.738236] area_under_roc_curve 0.7362232274539557 [0.736223,0.736223] area_under_roc_curve 0.7531254353435026 [0.753125,0.753125] area_under_roc_curve 0.7471374113914068 [0.747137,0.747137] area_under_roc_curve 0.7534425093285837 [0.753443,0.753443] 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 0.8377863505337335 [0.626131,0.90437] f_measure 0.8383067050557264 [0.629538,0.903982] f_measure 0.844098652769055 [0.640523,0.908086] f_measure 0.8389466158504596 [0.632824,0.903734] f_measure 0.8351904700089093 [0.621379,0.902395] f_measure 0.8333385307087227 [0.620384,0.900349] f_measure 0.8341910344714155 [0.619,0.901905] f_measure 0.844946244748957 [0.646624,0.907352] f_measure 0.841449297425548 [0.637221,0.905714] f_measure 0.8447089825209574 [0.646683,0.907022] kappa 0.5341448195843649 kappa 0.5366950222013895 kappa 0.5520944228248351 kappa 0.5393234527761528 kappa 0.5271663330584769 kappa 0.52359044378273 kappa 0.5244025588355042 kappa 0.5566720462805463 kappa 0.5459668902874515 kappa 0.5562935228585667 kb_relative_information_score 0.5284922494372866 kb_relative_information_score 0.527858502460724 kb_relative_information_score 0.5466297188098617 kb_relative_information_score 0.5276071895291558 kb_relative_information_score 0.5193640935075166 kb_relative_information_score 0.5113313604683724 kb_relative_information_score 0.517035663653567 kb_relative_information_score 0.5455571795795369 kb_relative_information_score 0.5366838190692348 kb_relative_information_score 0.5442895566494937 mean_absolute_error 0.15230296827021494 mean_absolute_error 0.15250767656090072 mean_absolute_error 0.1463963963963964 mean_absolute_error 0.15253890253890254 mean_absolute_error 0.1552006552006552 mean_absolute_error 0.15786240786240785 mean_absolute_error 0.15601965601965603 mean_absolute_error 0.1468058968058968 mean_absolute_error 0.14967239967239968 mean_absolute_error 0.14721539721539723 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 0.8400874142509047 [0.758831,0.86565] precision 0.8397511786958667 [0.751781,0.867425] precision 0.8469658912336557 [0.775883,0.869308] precision 0.839691357233781 [0.745645,0.869252] precision 0.8366352312635286 [0.745803,0.865185] precision 0.8336436361698522 [0.730858,0.865987] precision 0.8357163428804437 [0.744886,0.864298] precision 0.8462520921837695 [0.762791,0.872515] precision 0.843011518175914 [0.758865,0.86949] precision 0.8457737227029741 [0.759815,0.872822] predictive_accuracy 0.847697031729785 predictive_accuracy 0.8474923234390992 predictive_accuracy 0.8536036036036037 predictive_accuracy 0.8474610974610975 predictive_accuracy 0.8447993447993448 predictive_accuracy 0.8421375921375922 predictive_accuracy 0.8439803439803439 predictive_accuracy 0.8531941031941033 predictive_accuracy 0.8503276003276004 predictive_accuracy 0.8527846027846028 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 0.847697031729785 [0.532934,0.946717] recall 0.8474923234390993 [0.541488,0.943757] recall 0.8536036036036037 [0.545377,0.950484] recall 0.8474610974610974 [0.549658,0.941066] recall 0.8447993447993448 [0.532534,0.942949] recall 0.8421375921375921 [0.538922,0.93755] recall 0.8439803439803439 [0.529512,0.942934] recall 0.8531941031941032 [0.561163,0.945087] recall 0.8503276003276004 [0.549187,0.945087] recall 0.8527846027846028 [0.562874,0.944011] relative_absolute_error 0.4183352640027047 relative_absolute_error 0.4188975425833536 relative_absolute_error 0.40220121851670243 relative_absolute_error 0.41907679411880183 relative_absolute_error 0.42638954354637826 relative_absolute_error 0.43357512278558397 relative_absolute_error 0.4285139345818612 relative_absolute_error 0.40320799356324744 relative_absolute_error 0.4110809529912606 relative_absolute_error 0.4043327020529635 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 0.3902601289783712 root_mean_squared_error 0.3905223125007081 root_mean_squared_error 0.38261782028075536 root_mean_squared_error 0.3905622902161735 root_mean_squared_error 0.39395514364030737 root_mean_squared_error 0.3973190252963075 root_mean_squared_error 0.39499323540999537 root_mean_squared_error 0.3831525764051402 root_mean_squared_error 0.3868751732437734 root_mean_squared_error 0.38368658722373555 root_relative_squared_error 0.9146893940285048 root_relative_squared_error 0.9153038982254834 root_relative_squared_error 0.8969775009064714 root_relative_squared_error 0.9156018576692303 root_relative_squared_error 0.9235557819874665 root_relative_squared_error 0.9311686535623275 root_relative_squared_error 0.9257178633936687 root_relative_squared_error 0.897967743714353 root_relative_squared_error 0.9066921320906718 root_relative_squared_error 0.8992192673094496 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 142498.20221797563 usercpu_time_millis 143924.65632001404 usercpu_time_millis 144125.1286850311 usercpu_time_millis 141044.1464530304 usercpu_time_millis 140779.46959109977 usercpu_time_millis 98726.21609293856 usercpu_time_millis 146306.41055305023 usercpu_time_millis 146687.9378510639 usercpu_time_millis 141183.25198499952 usercpu_time_millis 129507.20826908946 usercpu_time_millis_testing 9870.737125980668 usercpu_time_millis_testing 10193.929722998291 usercpu_time_millis_testing 10218.814135994762 usercpu_time_millis_testing 10010.05789404735 usercpu_time_millis_testing 10002.005167072639 usercpu_time_millis_testing 6039.852709043771 usercpu_time_millis_testing 10434.884850052185 usercpu_time_millis_testing 10474.058091989718 usercpu_time_millis_testing 10013.4351659799 usercpu_time_millis_testing 6064.810625044629 usercpu_time_millis_training 132627.46509199496 usercpu_time_millis_training 133730.72659701575 usercpu_time_millis_training 133906.31454903632 usercpu_time_millis_training 131034.08855898306 usercpu_time_millis_training 130777.46442402713 usercpu_time_millis_training 92686.36338389479 usercpu_time_millis_training 135871.52570299804 usercpu_time_millis_training 136213.8797590742 usercpu_time_millis_training 131169.81681901962 usercpu_time_millis_training 123442.39764404483 wall_clock_time_millis 142501.16658210754 wall_clock_time_millis 143924.95369911194 wall_clock_time_millis 144125.26893615723 wall_clock_time_millis 141047.05333709717 wall_clock_time_millis 140779.68072891235 wall_clock_time_millis 98727.82707214355 wall_clock_time_millis 146309.73505973816 wall_clock_time_millis 146688.7810230255 wall_clock_time_millis 141185.05191802979 wall_clock_time_millis 129508.8996887207 wall_clock_time_millis_testing 9870.756387710571 wall_clock_time_millis_testing 10194.157361984253 wall_clock_time_millis_testing 10218.826055526733 wall_clock_time_millis_testing 10010.064125061035 wall_clock_time_millis_testing 10002.018451690674 wall_clock_time_millis_testing 6039.854526519775 wall_clock_time_millis_testing 10434.89694595337 wall_clock_time_millis_testing 10474.067687988281 wall_clock_time_millis_testing 10013.642072677612 wall_clock_time_millis_testing 6064.812898635864 wall_clock_time_millis_training 132630.41019439697 wall_clock_time_millis_training 133730.7963371277 wall_clock_time_millis_training 133906.4428806305 wall_clock_time_millis_training 131036.98921203613 wall_clock_time_millis_training 130777.66227722168 wall_clock_time_millis_training 92687.97254562378 wall_clock_time_millis_training 135874.8381137848 wall_clock_time_millis_training 136214.71333503723 wall_clock_time_millis_training 131171.40984535217 wall_clock_time_millis_training 123444.08679008484