6122453 1 Jan van Rijn 9977 Supervised Classification 7096 sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.forest.RandomForestClassifier))(1) 4156622 bootstrap true 6902 class_weight null 6902 criterion "gini" 6902 max_depth null 6902 max_features "auto" 6902 max_leaf_nodes null 6902 min_impurity_split 1e-07 6902 min_samples_leaf 1 6902 min_samples_split 2 6902 min_weight_fraction_leaf 0.0 6902 n_estimators 10 6902 n_jobs 1 6902 oob_score false 6902 random_state 1 6902 verbose 0 6902 warm_start false 6902 axis 0 6947 categorical_features [6, 7, 14, 15, 22, 23, 30, 31, 38, 39, 46, 47, 54, 55, 62, 63, 70, 71, 78, 79, 86, 87, 91, 95, 99, 103, 107, 111, 115] 6947 copy true 6947 fill_empty 0 6947 missing_values "NaN" 6947 strategy "median" 6947 strategy_nominal "most_frequent" 6947 verbose 0 6947 categorical_features [6, 7, 14, 15, 22, 23, 30, 31, 38, 39, 46, 47, 54, 55, 62, 63, 70, 71, 78, 79, 86, 87, 91, 95, 99, 103, 107, 111, 115] 6948 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 6948 handle_unknown "ignore" 6948 n_values "auto" 6948 sparse true 6948 threshold 0.0 6949 cv null 7096 error_score "raise" 7096 fit_params {} 7096 iid true 7096 n_iter 50 7096 n_jobs 1 7096 param_distributions {"classifier__min_samples_leaf": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20], "classifier__max_features": [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9], "classifier__bootstrap": [true, false], "classifier__criterion": ["gini", "entropy"], "imputation__strategy": ["mean", "median", "most_frequent"]} 7096 pre_dispatch "2*n_jobs" 7096 random_state 23549 7096 refit true 7096 return_train_score true 7096 scoring null 7096 verbose 0 7096 openml-python Sklearn_0.18.1. 1486 nomao https://www.openml.org/data/download/1592278/phpDYCOet -1 13170211 description https://api.openml.org/data/download/13170211/description.xml -1 13170212 predictions https://api.openml.org/data/download/13170212/predictions.arff -1 13170213 trace https://api.openml.org/data/download/13170213/trace.arff area_under_roc_curve 0.9923965810100466 [0.992397,0.992397] average_cost 0 f_measure 0.9675434312796081 [0.94311,0.977312] kappa 0.920422613440062 kb_relative_information_score 30083.582934784426 mean_absolute_error 0.05382569075418373 mean_prior_absolute_error 0.4080904194746198 number_of_instances 34465 [9844,24621] precision 0.9675281216397742 [0.944841,0.976599] predictive_accuracy 0.9675612940664442 prior_entropy 0.8630164444447486 recall 0.9675612940664442 [0.941386,0.978027] relative_absolute_error 0.13189648221460215 root_mean_prior_squared_error 0.4517106852187937 root_mean_squared_error 0.158253958452176 root_relative_squared_error 0.350343623984726 total_cost 0 area_under_roc_curve 0.9924436538823367 [0.992444,0.992444] area_under_roc_curve 0.9914668442560421 [0.991467,0.991467] area_under_roc_curve 0.9929247403167744 [0.992925,0.992925] area_under_roc_curve 0.9946747928925763 [0.994675,0.994675] area_under_roc_curve 0.9923000160820099 [0.9923,0.9923] area_under_roc_curve 0.9919466954620805 [0.991947,0.991947] area_under_roc_curve 0.9918598056309564 [0.99186,0.99186] area_under_roc_curve 0.9931268286078474 [0.993127,0.993127] area_under_roc_curve 0.990968204513483 [0.990968,0.990968] area_under_roc_curve 0.9924075624285894 [0.992408,0.992408] 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 0.968058808893825 [0.943935,0.977697] f_measure 0.9635015888279597 [0.936364,0.974359] f_measure 0.9672328011498122 [0.942727,0.977037] f_measure 0.971880906925498 [0.950886,0.980281] f_measure 0.9695433629231616 [0.946728,0.978672] f_measure 0.9647496174948528 [0.937725,0.975551] f_measure 0.9669282375808956 [0.942132,0.976839] f_measure 0.9712666527960501 [0.94967,0.979898] f_measure 0.9643869077450195 [0.937973,0.974944] f_measure 0.9678764109509129 [0.942946,0.97784] kappa 0.921631726780632 kappa 0.9107235282872654 kappa 0.9197640739006598 kappa 0.931166797906341 kappa 0.9253990988983674 kappa 0.9132814199547198 kappa 0.9189706965841973 kappa 0.9295680319620921 kappa 0.9129187617337108 kappa 0.9207997499423329 kb_relative_information_score 3004.0122411920956 kb_relative_information_score 2987.263951660539 kb_relative_information_score 2986.89980086937 kb_relative_information_score 3043.5610383970593 kb_relative_information_score 3028.6470701160897 kb_relative_information_score 2976.173869499028 kb_relative_information_score 3004.6889989978167 kb_relative_information_score 3056.409628604726 kb_relative_information_score 2991.3088650934246 kb_relative_information_score 3004.617470356954 mean_absolute_error 0.05460518641718639 mean_absolute_error 0.055844150916911625 mean_absolute_error 0.056591675408406435 mean_absolute_error 0.05046712412094148 mean_absolute_error 0.05190495064557826 mean_absolute_error 0.05732244501094227 mean_absolute_error 0.05370081193520517 mean_absolute_error 0.04829616360153144 mean_absolute_error 0.05485682971379341 mean_absolute_error 0.05466748717305889 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 0.9680365330279137 [0.94683,0.976509] precision 0.9635761170544626 [0.931658,0.976346] precision 0.9672494960583078 [0.941296,0.977633] precision 0.9719071556901553 [0.948485,0.981278] precision 0.96954819347647 [0.946247,0.97887] precision 0.9647366547885362 [0.949948,0.970647] precision 0.9669390941971965 [0.941176,0.977236] precision 0.9712624646084473 [0.950153,0.9797] precision 0.9645110326359542 [0.930931,0.977932] precision 0.9679965147765318 [0.962924,0.970024] predictive_accuracy 0.9680881926312737 predictive_accuracy 0.9634464751958224 predictive_accuracy 0.9672178706121265 predictive_accuracy 0.9718595880475775 predictive_accuracy 0.9695387293298521 predictive_accuracy 0.9648868253047012 predictive_accuracy 0.9669181659895532 predictive_accuracy 0.9712710388856646 predictive_accuracy 0.9643064422518863 predictive_accuracy 0.9680789320951828 prior_entropy 0.8630164444447486 prior_entropy 0.8630164444447486 prior_entropy 0.8630164444447486 prior_entropy 0.8630164444447486 prior_entropy 0.8630164444447486 prior_entropy 0.8630164444447486 prior_entropy 0.8630164444447486 prior_entropy 0.8630164444447486 prior_entropy 0.8630164444447486 prior_entropy 0.8630164444447486 recall 0.9680881926312735 [0.941057,0.978888] recall 0.9634464751958225 [0.941117,0.97238] recall 0.9672178706121265 [0.944162,0.976442] recall 0.9718595880475775 [0.953299,0.979285] recall 0.9695387293298521 [0.947208,0.978473] recall 0.9648868253047012 [0.925813,0.980504] recall 0.9669181659895532 [0.943089,0.976442] recall 0.9712710388856646 [0.949187,0.980097] recall 0.9643064422518862 [0.945122,0.971974] recall 0.9680789320951828 [0.92378,0.985784] relative_absolute_error 0.13382872779151028 relative_absolute_error 0.13682352716674953 relative_absolute_error 0.1386550338848305 relative_absolute_error 0.12364929567043069 relative_absolute_error 0.12717210859397962 relative_absolute_error 0.14047607390116154 relative_absolute_error 0.13160079310158956 relative_absolute_error 0.11835600253855598 relative_absolute_error 0.13443376435508406 relative_absolute_error 0.13396975594197852 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 0.15872497830904886 root_mean_squared_error 0.16283248151536397 root_mean_squared_error 0.16294125433152012 root_mean_squared_error 0.14792489642341658 root_mean_squared_error 0.15614585326446348 root_mean_squared_error 0.16601144686730712 root_mean_squared_error 0.15900720868711893 root_mean_squared_error 0.14649880430878462 root_mean_squared_error 0.16236639507924466 root_mean_squared_error 0.15891610198855816 root_relative_squared_error 0.35144451845529895 root_relative_squared_error 0.3604293676726508 root_relative_squared_error 0.36067013608066306 root_relative_squared_error 0.32743145829847076 root_relative_squared_error 0.34562852959719137 root_relative_squared_error 0.3675460215863398 root_relative_squared_error 0.35203877840551856 root_relative_squared_error 0.3243454213966814 root_relative_squared_error 0.3594759498626147 root_relative_squared_error 0.35183706999788894 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 2038549.0940889977 usercpu_time_millis 2077218.4859009976 usercpu_time_millis 2129864.7770940005 usercpu_time_millis 2083864.875156003 usercpu_time_millis 2025773.4993379998 usercpu_time_millis 2081550.305038996 usercpu_time_millis 2042890.7967460037 usercpu_time_millis 2073673.2493640012 usercpu_time_millis 2094687.3687840053 usercpu_time_millis 2068226.9353770025 usercpu_time_millis_testing 231.67105799802812 usercpu_time_millis_testing 220.79533799842466 usercpu_time_millis_testing 220.4729689983651 usercpu_time_millis_testing 223.71159800241003 usercpu_time_millis_testing 237.25747899879934 usercpu_time_millis_testing 217.0342809986323 usercpu_time_millis_testing 220.12561000155983 usercpu_time_millis_testing 245.0309269988793 usercpu_time_millis_testing 223.29709900077432 usercpu_time_millis_testing 222.13414900033968 usercpu_time_millis_training 2038317.4230309997 usercpu_time_millis_training 2076997.690562999 usercpu_time_millis_training 2129644.304125002 usercpu_time_millis_training 2083641.1635580007 usercpu_time_millis_training 2025536.241859001 usercpu_time_millis_training 2081333.2707579974 usercpu_time_millis_training 2042670.671136002 usercpu_time_millis_training 2073428.2184370023 usercpu_time_millis_training 2094464.0716850045 usercpu_time_millis_training 2068004.8012280022