10586602 28997 Marc Boel 9977 Supervised Classification 19039 sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder),gradientboostingclassifier=sklearn.ensemble._gb.GradientBoostingClassifier)(2) 8302884 Python_3.7.12. Sklearn_1.0.1. NumPy_1.19.5. SciPy_1.4.1. n_jobs null 19031 remainder "drop" 19031 sparse_threshold 0.3 19031 transformer_weights null 19031 transformers [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer", "argument_1": {"oml-python:serialized_object": "function", "value": "openml.extensions.sklearn.cont"}}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder", "argument_1": {"oml-python:serialized_object": "function", "value": "openml.extensions.sklearn.cat"}}}] 19031 verbose false 19031 verbose_feature_names_out true 19031 add_indicator false 19032 copy true 19032 fill_value null 19032 missing_values NaN 19032 strategy "mean" 19032 verbose 0 19032 categories "auto" 19033 drop null 19033 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 19033 handle_unknown "ignore" 19033 sparse true 19033 memory null 19039 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "gradientboostingclassifier", "step_name": "gradientboostingclassifier"}}] 19039 verbose false 19039 ccp_alpha 0.0 19040 criterion "friedman_mse" 19040 init null 19040 learning_rate 0.9494270623486954 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 471 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 51 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 5 19040 random_state 3479 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.39555129405721345 19040 verbose 0 19040 warm_start false 19040 openml-python Sklearn_1.0.1. 1486 nomao https://www.openml.org/data/download/1592278/phpDYCOet -1 22099475 description https://api.openml.org/data/download/22099475/description.xml -1 22099476 predictions https://api.openml.org/data/download/22099476/predictions.arff area_under_roc_curve 0.9904108557160937 [0.990411,0.990411] average_cost 0 f_measure 0.9600299377620997 [0.929963,0.972051] kappa 0.9020143357403464 kb_relative_information_score 0.8666266631302012 mean_absolute_error 0.05442168705492942 mean_prior_absolute_error 0.4080904194746198 weighted_recall 0.9600464239083127 [0.928688,0.972584] number_of_instances 34465 [9844,24621] precision 0.9600148705607825 [0.931242,0.971519] predictive_accuracy 0.9600464239083127 prior_entropy 0.8629999933345911 relative_absolute_error 0.13335693380156413 root_mean_prior_squared_error 0.4517106852187937 root_mean_squared_error 0.17517362207497736 root_relative_squared_error 0.3878004833782691 total_cost 0 unweighted_recall 0.950635952292339 [0.928688,0.972584] area_under_roc_curve 0.9913069113943273 [0.991307,0.991307] area_under_roc_curve 0.9910845872490278 [0.991085,0.991085] area_under_roc_curve 0.9881366311075558 [0.988137,0.988137] area_under_roc_curve 0.993846157018148 [0.993846,0.993846] area_under_roc_curve 0.9913000449471562 [0.9913,0.9913] area_under_roc_curve 0.989039085151209 [0.989039,0.989039] area_under_roc_curve 0.9903797890537801 [0.99038,0.99038] area_under_roc_curve 0.9919126412527327 [0.991913,0.991913] area_under_roc_curve 0.9895990189085481 [0.989599,0.989599] area_under_roc_curve 0.9881204470554048 [0.98812,0.98812] 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 0.962866260516391 [0.934959,0.974015] f_measure 0.9597895811927394 [0.930116,0.971662] f_measure 0.9570901615143059 [0.925025,0.969919] f_measure 0.9661438449711834 [0.941117,0.976157] f_measure 0.9602492368425669 [0.930422,0.972183] f_measure 0.9589099790256709 [0.927357,0.971521] f_measure 0.9588917939066904 [0.928427,0.971068] f_measure 0.9628212918781477 [0.93476,0.974037] f_measure 0.9563496404716426 [0.923077,0.969648] f_measure 0.9571339335417041 [0.924109,0.970333] kappa 0.9089747779329193 kappa 0.901780840198737 kappa 0.8949442015400176 kappa 0.9172762252758784 kappa 0.9026042849338056 kappa 0.8988856077963754 kappa 0.8994977062411271 kappa 0.9087972991190876 kappa 0.8927284454527569 kappa 0.8944530126486697 kb_relative_information_score 0.8722952750475332 kb_relative_information_score 0.8656101455862708 kb_relative_information_score 0.8621221579274773 kb_relative_information_score 0.8812972851888656 kb_relative_information_score 0.8694402626721773 kb_relative_information_score 0.8614836932871239 kb_relative_information_score 0.8625505917906402 kb_relative_information_score 0.8684793266314709 kb_relative_information_score 0.8650822096594353 kb_relative_information_score 0.8578974854862268 mean_absolute_error 0.05266388757300226 mean_absolute_error 0.055164160862438555 mean_absolute_error 0.0557606892303405 mean_absolute_error 0.04858229736650278 mean_absolute_error 0.052711872343441456 mean_absolute_error 0.056660728679805296 mean_absolute_error 0.05579521173072728 mean_absolute_error 0.053918001977605184 mean_absolute_error 0.054610000221021957 mean_absolute_error 0.05835211735138358 mean_prior_absolute_error 0.4080229059806574 mean_prior_absolute_error 0.4081472833897437 mean_prior_absolute_error 0.4081472833897437 mean_prior_absolute_error 0.4081472833897437 mean_prior_absolute_error 0.4081472833897437 mean_prior_absolute_error 0.40805842175852763 mean_prior_absolute_error 0.40805842175852763 mean_prior_absolute_error 0.40805842175852763 mean_prior_absolute_error 0.40805842175852763 mean_prior_absolute_error 0.40805842175852763 number_of_instances 3447 [984,2463] number_of_instances 3447 [985,2462] number_of_instances 3447 [985,2462] number_of_instances 3447 [985,2462] number_of_instances 3447 [985,2462] number_of_instances 3446 [984,2462] number_of_instances 3446 [984,2462] number_of_instances 3446 [984,2462] number_of_instances 3446 [984,2462] number_of_instances 3446 [984,2462] precision 0.962866260516391 [0.934959,0.974015] precision 0.9599734205229199 [0.921315,0.97544] precision 0.9571192958408781 [0.923155,0.970708] precision 0.9662863586553954 [0.933134,0.97955] precision 0.9602433736365722 [0.930894,0.971985] precision 0.958880748360648 [0.940439,0.966252] precision 0.9590400170081184 [0.921,0.974244] precision 0.9627941531625746 [0.937628,0.972853] precision 0.9562913127552986 [0.931677,0.966129] precision 0.9571155035096921 [0.93914,0.9643] predictive_accuracy 0.962866260516391 predictive_accuracy 0.9596750797795184 predictive_accuracy 0.9570641137220771 predictive_accuracy 0.9660574412532636 predictive_accuracy 0.9602552944589497 predictive_accuracy 0.9590829947765525 predictive_accuracy 0.958792803250145 predictive_accuracy 0.9628554846198492 predictive_accuracy 0.9564712710388856 predictive_accuracy 0.957341845618108 prior_entropy 0.862791736866817 prior_entropy 0.863175399426382 prior_entropy 0.863175399426382 prior_entropy 0.863175399426382 prior_entropy 0.863175399426382 prior_entropy 0.862901291120622 prior_entropy 0.862901291120622 prior_entropy 0.862901291120622 prior_entropy 0.862901291120622 prior_entropy 0.862901291120622 relative_absolute_error 0.1290709095030533 relative_absolute_error 0.1351574862983022 relative_absolute_error 0.13661903802773592 relative_absolute_error 0.11903128930080635 relative_absolute_error 0.12914914416594656 relative_absolute_error 0.1388544523493129 relative_absolute_error 0.13673339099405873 relative_absolute_error 0.13213304542336257 relative_absolute_error 0.13382887672230898 relative_absolute_error 0.14299941929862675 root_mean_prior_squared_error 0.4516359481339797 root_mean_prior_squared_error 0.45177362368332785 root_mean_prior_squared_error 0.45177362368332785 root_mean_prior_squared_error 0.45177362368332785 root_mean_prior_squared_error 0.45177362368332785 root_mean_prior_squared_error 0.4516752654560011 root_mean_prior_squared_error 0.4516752654560011 root_mean_prior_squared_error 0.4516752654560011 root_mean_prior_squared_error 0.4516752654560011 root_mean_prior_squared_error 0.4516752654560011 root_mean_squared_error 0.16909098062556768 root_mean_squared_error 0.17366733506707435 root_mean_squared_error 0.18147316364914337 root_mean_squared_error 0.16129555184950303 root_mean_squared_error 0.17608555620112495 root_mean_squared_error 0.17982411735412607 root_mean_squared_error 0.17732673454464548 root_mean_squared_error 0.1710344993203035 root_mean_squared_error 0.17777529318418603 root_mean_squared_error 0.18306834770031905 root_relative_squared_error 0.3743966380980066 root_relative_squared_error 0.3844122940404485 root_relative_squared_error 0.40169047977964195 root_relative_squared_error 0.3570273769735695 root_relative_squared_error 0.38976502161744764 root_relative_squared_error 0.39812699766187043 root_relative_squared_error 0.39259784209263804 root_relative_squared_error 0.37866695920935795 root_relative_squared_error 0.39359094194522276 root_relative_squared_error 0.40530965873346503 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 unweighted_recall 0.9544873889664597 [0.934959,0.974015] unweighted_recall 0.9534992804331421 [0.939086,0.967912] unweighted_recall 0.9480171706383733 [0.926904,0.969131] unweighted_recall 0.9610124656195491 [0.949239,0.972786] unweighted_recall 0.9511647086475854 [0.929949,0.97238] unweighted_recall 0.945741118662202 [0.914634,0.976848] unweighted_recall 0.9519439381030691 [0.935976,0.967912] unweighted_recall 0.9535669823595068 [0.931911,0.975223] unweighted_recall 0.9439133363713816 [0.914634,0.973193] unweighted_recall 0.9429973813344957 [0.909553,0.976442] usercpu_time_millis 9617.323302998557 usercpu_time_millis 7301.397982002527 usercpu_time_millis 11768.323758999031 usercpu_time_millis 12306.73015100183 usercpu_time_millis 10391.748002995882 usercpu_time_millis 7520.875967002212 usercpu_time_millis 8260.240429000987 usercpu_time_millis 6938.473713998974 usercpu_time_millis 9632.669784998143 usercpu_time_millis 6305.569244002982 usercpu_time_millis_testing 71.60803499937174 usercpu_time_millis_testing 68.81320400134427 usercpu_time_millis_testing 70.84463299906929 usercpu_time_millis_testing 72.98756800082629 usercpu_time_millis_testing 71.00864299718523 usercpu_time_millis_testing 71.43928400182631 usercpu_time_millis_testing 70.59206600024481 usercpu_time_millis_testing 70.20453400036786 usercpu_time_millis_testing 41.7499899995164 usercpu_time_millis_testing 70.31849300255999 usercpu_time_millis_training 9545.715267999185 usercpu_time_millis_training 7232.584778001183 usercpu_time_millis_training 11697.479125999962 usercpu_time_millis_training 12233.742583001003 usercpu_time_millis_training 10320.739359998697 usercpu_time_millis_training 7449.4366830003855 usercpu_time_millis_training 8189.648363000742 usercpu_time_millis_training 6868.269179998606 usercpu_time_millis_training 9590.919794998626 usercpu_time_millis_training 6235.250751000422 wall_clock_time_millis 9808.520793914795 wall_clock_time_millis 7427.089214324951 wall_clock_time_millis 11976.815462112427 wall_clock_time_millis 12493.643760681152 wall_clock_time_millis 10598.104476928711 wall_clock_time_millis 7636.207818984985 wall_clock_time_millis 8389.75477218628 wall_clock_time_millis 7033.383369445801 wall_clock_time_millis 9746.583700180054 wall_clock_time_millis 6469.067096710205 wall_clock_time_millis_testing 74.78785514831543 wall_clock_time_millis_testing 69.20766830444336 wall_clock_time_millis_testing 70.98984718322754 wall_clock_time_millis_testing 74.73039627075195 wall_clock_time_millis_testing 72.09897041320801 wall_clock_time_millis_testing 73.0128288269043 wall_clock_time_millis_testing 70.76859474182129 wall_clock_time_millis_testing 70.35040855407715 wall_clock_time_millis_testing 41.8696403503418 wall_clock_time_millis_testing 76.16138458251953 wall_clock_time_millis_training 9733.73293876648 wall_clock_time_millis_training 7357.881546020508 wall_clock_time_millis_training 11905.8256149292 wall_clock_time_millis_training 12418.9133644104 wall_clock_time_millis_training 10526.005506515503 wall_clock_time_millis_training 7563.194990158081 wall_clock_time_millis_training 8318.986177444458 wall_clock_time_millis_training 6963.032960891724 wall_clock_time_millis_training 9704.714059829712 wall_clock_time_millis_training 6392.905712127686 weighted_recall 0.962866260516391 [0.934959,0.974015] weighted_recall 0.9596750797795184 [0.939086,0.967912] weighted_recall 0.9570641137220771 [0.926904,0.969131] weighted_recall 0.9660574412532638 [0.949239,0.972786] weighted_recall 0.9602552944589499 [0.929949,0.97238] weighted_recall 0.9590829947765526 [0.914634,0.976848] weighted_recall 0.958792803250145 [0.935976,0.967912] weighted_recall 0.9628554846198492 [0.931911,0.975223] weighted_recall 0.9564712710388856 [0.914634,0.973193] weighted_recall 0.957341845618108 [0.909553,0.976442]