8778510 4009 Vishal Chouskey 146607 Supervised Classification 7694 sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.forest.RandomForestClassifier)(4) 6753827 categorical_features [0, 2, 6, 7, 8, 9, 12, 13, 14, 21, 22, 23, 24, 25, 26, 33, 34, 35, 36, 37, 38, 45, 46, 47, 48, 49, 50, 56, 57, 58, 59, 60, 67, 68, 69, 70, 71, 72, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 108, 112, 113, 114, 117, 118] 7256 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 7256 handle_unknown "ignore" 7256 n_values "auto" 7256 sparse true 7256 bootstrap true 7257 class_weight null 7257 criterion "entropy" 7257 max_depth null 7257 max_features 0.16183778996000592 7257 max_leaf_nodes null 7257 min_impurity_split 1e-07 7257 min_samples_leaf 6 7257 min_samples_split 2 7257 min_weight_fraction_leaf 0.0 7257 n_estimators 10 7257 n_jobs 1 7257 oob_score false 7257 random_state 49851 7257 verbose 0 7257 warm_start false 7257 threshold 0.0 7345 axis 0 7660 categorical_features [0, 2, 6, 7, 8, 9, 12, 13, 14, 21, 22, 23, 24, 25, 26, 33, 34, 35, 36, 37, 38, 45, 46, 47, 48, 49, 50, 56, 57, 58, 59, 60, 67, 68, 69, 70, 71, 72, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 108, 112, 113, 114, 117, 118] 7660 copy true 7660 fill_empty 0 7660 missing_values "NaN" 7660 strategy "median" 7660 strategy_nominal "most_frequent" 7660 verbose 0 7660 openml-pimp openml-python Sklearn_0.18.2. 40536 SpeedDating https://www.openml.org/data/download/13153954/speeddating.arff -1 18473241 description https://api.openml.org/data/download/18473241/description.xml -1 18473242 predictions https://api.openml.org/data/download/18473242/predictions.arff area_under_roc_curve 0.8355628523263375 [0.835563,0.835563] average_cost 0 f_measure 0.8355259920014444 [0.919414,0.410129] kappa 0.3418788250195786 kb_relative_information_score 1020.5482579474666 mean_absolute_error 0.20794859756362305 mean_prior_absolute_error 0.27522443426385396 number_of_instances 8378 [6998,1380] precision 0.8382803363441931 [0.875129,0.65142] predictive_accuracy 0.8582000477440918 prior_entropy 0.6456632985956458 recall 0.8582000477440916 [0.96842,0.299275] relative_absolute_error 0.7555600872423469 root_mean_prior_squared_error 0.3709250520954917 root_mean_squared_error 0.321722272653383 root_relative_squared_error 0.8673511558085814 total_cost 0 area_under_roc_curve 0.84722049689441 [0.84722,0.84722] area_under_roc_curve 0.8255900621118012 [0.82559,0.82559] area_under_roc_curve 0.8543374741200828 [0.854337,0.854337] area_under_roc_curve 0.8079451345755695 [0.807945,0.807945] area_under_roc_curve 0.8502743271221532 [0.850274,0.850274] area_under_roc_curve 0.8531987577639752 [0.853199,0.853199] area_under_roc_curve 0.8259265010351967 [0.825927,0.825927] area_under_roc_curve 0.8473343685300206 [0.847334,0.847334] area_under_roc_curve 0.8287926852024632 [0.828793,0.828793] area_under_roc_curve 0.8223963840683377 [0.822396,0.822396] 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 0.8329276866128706 [0.915301,0.415094] f_measure 0.8239935338607672 [0.91475,0.363636] f_measure 0.8473219076660163 [0.926302,0.446701] f_measure 0.8295810407223301 [0.917456,0.383838] f_measure 0.8303964511160289 [0.920699,0.37234] f_measure 0.8416168965985602 [0.922764,0.43] f_measure 0.8258296287617801 [0.916216,0.367347] f_measure 0.8429386819505567 [0.920873,0.447619] f_measure 0.842556475946936 [0.919918,0.450704] f_measure 0.8367409453077145 [0.919837,0.415842] kappa 0.33911671924290243 kappa 0.2930826705230175 kappa 0.3861507237805945 kappa 0.31552449050641374 kappa 0.3120825912733747 kappa 0.36518526394131057 kappa 0.299028602266595 kappa 0.3773028928690393 kappa 0.3785481752241706 kappa 0.34769169803843863 kb_relative_information_score 88.04481844094771 kb_relative_information_score 90.12973632170164 kb_relative_information_score 107.65915411762117 kb_relative_information_score 73.74175042480368 kb_relative_information_score 149.73238648765562 kb_relative_information_score 107.91040315611893 kb_relative_information_score 111.53245432106023 kb_relative_information_score 95.0530037256387 kb_relative_information_score 97.8946321484216 kb_relative_information_score 98.84991880349524 mean_absolute_error 0.2123903335075698 mean_absolute_error 0.20872395279375122 mean_absolute_error 0.20749282549149173 mean_absolute_error 0.21239678704890197 mean_absolute_error 0.19872604547415548 mean_absolute_error 0.2073033741234257 mean_absolute_error 0.20400266716055707 mean_absolute_error 0.2091625871016814 mean_absolute_error 0.20956399856359068 mean_absolute_error 0.20972745479859245 mean_prior_absolute_error 0.2751980793000754 mean_prior_absolute_error 0.2751980793000754 mean_prior_absolute_error 0.2751980793000754 mean_prior_absolute_error 0.2751980793000754 mean_prior_absolute_error 0.2751980793000754 mean_prior_absolute_error 0.2751980793000754 mean_prior_absolute_error 0.2751980793000754 mean_prior_absolute_error 0.2751980793000754 mean_prior_absolute_error 0.27532998006860815 mean_prior_absolute_error 0.27532998006860815 number_of_instances 838 [700,138] number_of_instances 838 [700,138] number_of_instances 838 [700,138] number_of_instances 838 [700,138] number_of_instances 838 [700,138] number_of_instances 838 [700,138] number_of_instances 838 [700,138] number_of_instances 838 [700,138] number_of_instances 837 [699,138] number_of_instances 837 [699,138] precision 0.830463484014072 [0.876963,0.594595] precision 0.8246136289733789 [0.868895,0.6] precision 0.8573365018042951 [0.879332,0.745763] precision 0.8322502469461504 [0.871465,0.633333] precision 0.8414111432828949 [0.869289,0.7] precision 0.8472718390581088 [0.877577,0.693548] precision 0.8283015642903718 [0.869231,0.62069] precision 0.8435848023912046 [0.881201,0.652778] precision 0.8420082973499281 [0.88189,0.64] precision 0.8396089225518971 [0.875809,0.65625] predictive_accuracy 0.8520286396181385 predictive_accuracy 0.8496420047732697 predictive_accuracy 0.869928400954654 predictive_accuracy 0.8544152744630071 predictive_accuracy 0.8591885441527447 predictive_accuracy 0.863961813842482 predictive_accuracy 0.8520286396181385 predictive_accuracy 0.8615751789976133 predictive_accuracy 0.8602150537634408 predictive_accuracy 0.8590203106332139 prior_entropy 0.6456632985956458 prior_entropy 0.6456632985956458 prior_entropy 0.6456632985956458 prior_entropy 0.6456632985956458 prior_entropy 0.6456632985956458 prior_entropy 0.6456632985956458 prior_entropy 0.6456632985956458 prior_entropy 0.6456632985956458 prior_entropy 0.6456632985956458 prior_entropy 0.6456632985956458 recall 0.8520286396181385 [0.957143,0.318841] recall 0.8496420047732697 [0.965714,0.26087] recall 0.869928400954654 [0.978571,0.318841] recall 0.8544152744630071 [0.968571,0.275362] recall 0.8591885441527446 [0.978571,0.253623] recall 0.863961813842482 [0.972857,0.311594] recall 0.8520286396181385 [0.968571,0.26087] recall 0.8615751789976134 [0.964286,0.34058] recall 0.8602150537634409 [0.961373,0.347826] recall 0.8590203106332138 [0.968526,0.304348] relative_absolute_error 0.7717725866683096 relative_absolute_error 0.758449889347371 relative_absolute_error 0.7539762850787994 relative_absolute_error 0.7717960372001904 relative_absolute_error 0.7221200307051018 relative_absolute_error 0.7532878668727282 relative_absolute_error 0.7412939351880905 relative_absolute_error 0.7600437751370022 relative_absolute_error 0.7611375939204674 relative_absolute_error 0.7617312678638609 root_mean_prior_squared_error 0.37088952439813466 root_mean_prior_squared_error 0.37088952439813466 root_mean_prior_squared_error 0.37088952439813466 root_mean_prior_squared_error 0.37088952439813466 root_mean_prior_squared_error 0.37088952439813466 root_mean_prior_squared_error 0.37088952439813466 root_mean_prior_squared_error 0.37088952439813466 root_mean_prior_squared_error 0.37088952439813466 root_mean_prior_squared_error 0.37106729858181686 root_mean_prior_squared_error 0.37106729858181686 root_mean_squared_error 0.3213824499987828 root_mean_squared_error 0.32646371648164935 root_mean_squared_error 0.31375090002659 root_mean_squared_error 0.33102153259176376 root_mean_squared_error 0.31359262655721454 root_mean_squared_error 0.31532572119669194 root_mean_squared_error 0.326018032598136 root_mean_squared_error 0.31731094140260424 root_mean_squared_error 0.3224091627549351 root_mean_squared_error 0.329372515965307 root_relative_squared_error 0.8665180029560284 root_relative_squared_error 0.8802182186499395 root_relative_squared_error 0.8459416602173733 root_relative_squared_error 0.8925070966318955 root_relative_squared_error 0.8455149200185708 root_relative_squared_error 0.8501877255993964 root_relative_squared_error 0.8790165565532907 root_relative_squared_error 0.855540317342541 root_relative_squared_error 0.8688697818081831 root_relative_squared_error 0.8876355238635598 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 1711.369585 usercpu_time_millis 1737.345318999985 usercpu_time_millis 1730.7331119999958 usercpu_time_millis 1684.8683329999687 usercpu_time_millis 1690.2101550000168 usercpu_time_millis 1701.1023390000162 usercpu_time_millis 1681.9332029999998 usercpu_time_millis 1698.351764000023 usercpu_time_millis 1725.5868969999995 usercpu_time_millis 1726.5596660000142 usercpu_time_millis_testing 49.02815400001259 usercpu_time_millis_testing 56.809791999995696 usercpu_time_millis_testing 59.006976999995686 usercpu_time_millis_testing 54.60499499997695 usercpu_time_millis_testing 47.03761499999359 usercpu_time_millis_testing 51.46177200001034 usercpu_time_millis_testing 50.010520000000724 usercpu_time_millis_testing 52.04026800001316 usercpu_time_millis_testing 52.51896100000408 usercpu_time_millis_testing 50.685497000017676 usercpu_time_millis_training 1662.3414309999873 usercpu_time_millis_training 1680.5355269999893 usercpu_time_millis_training 1671.726135 usercpu_time_millis_training 1630.2633379999918 usercpu_time_millis_training 1643.1725400000232 usercpu_time_millis_training 1649.6405670000058 usercpu_time_millis_training 1631.922682999999 usercpu_time_millis_training 1646.3114960000098 usercpu_time_millis_training 1673.0679359999954 usercpu_time_millis_training 1675.8741689999965