6128969 1 Jan van Rijn 14967 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) 4162623 bootstrap false 6902 class_weight null 6902 criterion "gini" 6902 max_depth null 6902 max_features 0.2 6902 max_leaf_nodes null 6902 min_impurity_split 1e-07 6902 min_samples_leaf 2 6902 min_samples_split 8 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 [0, 1] 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 [0, 1] 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__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__min_samples_split": [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20], "classifier__criterion": ["gini", "entropy"], "imputation__strategy": ["mean", "median", "most_frequent"]} 7096 pre_dispatch "2*n_jobs" 7096 random_state 1 7096 refit true 7096 return_train_score true 7096 scoring null 7096 verbose 0 7096 openml-python Sklearn_0.18.1. 23380 cjs https://www.openml.org/data/download/1910442/phpDAC5gS -1 13187090 description https://api.openml.org/data/download/13187090/description.xml -1 13187091 predictions https://api.openml.org/data/download/13187091/predictions.arff -1 13187092 trace https://api.openml.org/data/download/13187092/trace.arff area_under_roc_curve 0.9994722472232891 [0.999939,0.99698,0.999775,0.999934,0.999908,0.99932] average_cost 0 f_measure 0.9885672039543838 [0.993918,0.973529,0.99187,0.993157,0.991576,0.974729] kappa 0.9860247755962143 kb_relative_information_score 2686.1764753294283 mean_absolute_error 0.01637306547274029 mean_prior_absolute_error 0.27287997162595995 number_of_instances 2796 [576,341,680,511,414,274] precision 0.9886211917126145 [0.994783,0.976401,0.997028,0.992188,0.98801,0.964286] predictive_accuracy 0.988555078683834 prior_entropy 2.5206634795042744 recall 0.9885550786838341 [0.993056,0.970674,0.986765,0.994129,0.995169,0.985401] relative_absolute_error 0.06000097909414569 root_mean_prior_squared_error 0.3693707377543301 root_mean_squared_error 0.06914311894565621 root_relative_squared_error 0.18719165293392453 total_cost 0 area_under_roc_curve 0.9996955589261323 [1,0.998565,0.999931,1,1,0.998866] area_under_roc_curve 0.9999326145552561 [1,1,0.999723,1,1,1] area_under_roc_curve 0.9999631661163774 [1,0.999761,1,0.999957,1,1] area_under_roc_curve 0.9998257839721254 [1,0.998565,1,1,1,1] area_under_roc_curve 0.9998820754716982 [1,1,0.999514,1,1,1] area_under_roc_curve 0.9984935312030747 [0.999922,0.994985,0.998682,1,1,0.994364] area_under_roc_curve 0.9999371187826197 [1,1,1,0.999656,1,1] area_under_roc_curve 0.9975619104935287 [1,0.980972,0.999861,1,1,0.999118] area_under_roc_curve 0.9997587530128561 [0.999684,1,1,0.999656,1,0.998824] area_under_roc_curve 0.9999696316900618 [0.999921,1,1,1,1,0.999853] 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 0.982163424444272 [1,0.953846,0.985294,1,0.987952,0.931034] f_measure 0.992885595631591 [0.991304,0.985507,0.992593,1,1,0.982456] f_measure 0.9857224012649775 [1,0.971429,0.985075,0.990291,0.975,0.982456] f_measure 0.9927955085849823 [0.991453,0.969697,1,1,1,0.982456] f_measure 0.9928512325002243 [1,0.985507,0.985075,1,0.987952,1] f_measure 0.9785229038240695 [0.991453,0.927536,0.985075,1,0.987952,0.945455] f_measure 0.9928080241404224 [0.991304,1,1,0.98,1,0.981818] f_measure 0.9892261772361246 [1,0.969697,0.992593,0.990291,0.976744,1] f_measure 0.9856772485331562 [0.982143,0.985507,1,0.970874,1,0.962963] f_measure 0.9928209221176447 [0.99115,0.985507,0.992701,1,1,0.981132] kappa 0.9781914479320819 kappa 0.9912845892862702 kappa 0.9825710773252829 kappa 0.9912734525961479 kappa 0.991277666152672 kappa 0.9738403326014855 kappa 0.9912451361867705 kappa 0.9868642006308951 kappa 0.9824932938020611 kappa 0.9912401883830456 kb_relative_information_score 269.2456337164142 kb_relative_information_score 271.29027740469235 kb_relative_information_score 270.2633230005684 kb_relative_information_score 271.71466732916485 kb_relative_information_score 269.32744792096133 kb_relative_information_score 263.26782052791293 kb_relative_information_score 268.8700131515211 kb_relative_information_score 268.5977877433871 kb_relative_information_score 264.94075847636736 kb_relative_information_score 268.6587460584158 mean_absolute_error 0.01571466364323663 mean_absolute_error 0.014212962962962318 mean_absolute_error 0.014034266391298773 mean_absolute_error 0.012618953136810003 mean_absolute_error 0.0162411728781221 mean_absolute_error 0.0231979516645522 mean_absolute_error 0.01485831602759504 mean_absolute_error 0.0146838628648642 mean_absolute_error 0.021827344963546137 mean_absolute_error 0.01634911152832055 mean_prior_absolute_error 0.272904982835389 mean_prior_absolute_error 0.272904982835389 mean_prior_absolute_error 0.272904982835389 mean_prior_absolute_error 0.272904982835389 mean_prior_absolute_error 0.272804289453111 mean_prior_absolute_error 0.27287651677373237 mean_prior_absolute_error 0.2728747259382053 mean_prior_absolute_error 0.2728747259382053 mean_prior_absolute_error 0.2728747259382053 mean_prior_absolute_error 0.2728747259382053 number_of_instances 280 [58,34,68,51,41,28] number_of_instances 280 [58,34,68,51,41,28] number_of_instances 280 [58,34,68,51,41,28] number_of_instances 280 [58,34,68,51,41,28] number_of_instances 280 [58,34,68,52,41,27] number_of_instances 280 [58,35,68,51,41,27] number_of_instances 279 [57,34,68,51,42,27] number_of_instances 279 [57,34,68,51,42,27] number_of_instances 279 [57,34,68,51,42,27] number_of_instances 279 [57,34,68,51,42,27] precision 0.9829421768707483 [1,1,0.985294,1,0.97619,0.9] precision 0.993082336382829 [1,0.971429,1,1,1,0.965517] precision 0.986302945139152 [1,0.944444,1,0.980769,1,0.965517] precision 0.9930408282541537 [0.983051,1,1,1,1,0.965517] precision 0.9930442176870747 [1,0.971429,1,1,0.97619,1] precision 0.9787620132798882 [0.983051,0.941176,1,1,0.97619,0.928571] precision 0.9930213464696224 [0.982759,1,1,1,1,0.964286] precision 0.9896420783517557 [1,1,1,0.980769,0.954545,1] precision 0.9859033439678601 [1,0.971429,1,0.961538,1,0.962963] precision 0.9929858931261455 [1,0.971429,0.985507,1,1,1] predictive_accuracy 0.9821428571428571 predictive_accuracy 0.9928571428571429 predictive_accuracy 0.9857142857142857 predictive_accuracy 0.9928571428571429 predictive_accuracy 0.9928571428571429 predictive_accuracy 0.9785714285714286 predictive_accuracy 0.992831541218638 predictive_accuracy 0.989247311827957 predictive_accuracy 0.9856630824372761 predictive_accuracy 0.992831541218638 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 recall 0.9821428571428571 [1,0.911765,0.985294,1,1,0.964286] recall 0.9928571428571429 [0.982759,1,0.985294,1,1,1] recall 0.9857142857142858 [1,1,0.970588,1,0.95122,1] recall 0.9928571428571429 [1,0.941176,1,1,1,1] recall 0.9928571428571429 [1,1,0.970588,1,1,1] recall 0.9785714285714285 [1,0.914286,0.970588,1,1,0.962963] recall 0.992831541218638 [1,1,1,0.960784,1,1] recall 0.989247311827957 [1,0.941176,0.985294,1,1,1] recall 0.985663082437276 [0.964912,1,1,0.980392,1,0.962963] recall 0.992831541218638 [0.982456,1,1,1,1,0.962963] relative_absolute_error 0.05758291211822766 relative_absolute_error 0.05208026183800134 relative_absolute_error 0.0514254677415105 relative_absolute_error 0.0462393650922142 relative_absolute_error 0.05953415509221162 relative_absolute_error 0.08501263479476252 relative_absolute_error 0.054451052498573384 relative_absolute_error 0.05381173655558515 relative_absolute_error 0.07999035047492496 relative_absolute_error 0.05991434887239407 root_mean_prior_squared_error 0.36940459271455434 root_mean_prior_squared_error 0.36940459271455434 root_mean_prior_squared_error 0.36940459271455434 root_mean_prior_squared_error 0.36940459271455434 root_mean_prior_squared_error 0.36926827610333357 root_mean_prior_squared_error 0.36936606105183667 root_mean_prior_squared_error 0.3693636368423697 root_mean_prior_squared_error 0.3693636368423697 root_mean_prior_squared_error 0.3693636368423697 root_mean_prior_squared_error 0.3693636368423697 root_mean_squared_error 0.06751168733246209 root_mean_squared_error 0.059832627068485356 root_mean_squared_error 0.06603327340431982 root_mean_squared_error 0.06043167717621643 root_mean_squared_error 0.06697498662504167 root_mean_squared_error 0.08865647488935614 root_mean_squared_error 0.06545310732888518 root_mean_squared_error 0.07017314175455827 root_mean_squared_error 0.0780537951385812 root_mean_squared_error 0.06333909131627677 root_relative_squared_error 0.18275811580022666 root_relative_squared_error 0.16197044716961362 root_relative_squared_error 0.17875596217977974 root_relative_squared_error 0.16359211111084668 root_relative_squared_error 0.18137216478975257 root_relative_squared_error 0.24002333792360564 root_relative_squared_error 0.1772050651451054 root_relative_squared_error 0.18998389325613416 root_relative_squared_error 0.21131965183646806 root_relative_squared_error 0.17148166467536563 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 27971.1730850031 usercpu_time_millis 27584.739432997594 usercpu_time_millis 27621.192044000054 usercpu_time_millis 27777.572525003052 usercpu_time_millis 27632.97702899945 usercpu_time_millis 27410.782917002507 usercpu_time_millis 27824.26099100121 usercpu_time_millis 27336.354613998992 usercpu_time_millis 27319.532061002974 usercpu_time_millis 27775.624676000007 usercpu_time_millis_testing 9.566145999997389 usercpu_time_millis_testing 9.643253997637657 usercpu_time_millis_testing 10.22917999944184 usercpu_time_millis_testing 9.514750003290828 usercpu_time_millis_testing 9.602704998542322 usercpu_time_millis_testing 9.541723000438651 usercpu_time_millis_testing 9.70033500198042 usercpu_time_millis_testing 10.0142949995643 usercpu_time_millis_testing 9.374839002703084 usercpu_time_millis_testing 9.606520001398167 usercpu_time_millis_training 27961.606939003104 usercpu_time_millis_training 27575.096178999956 usercpu_time_millis_training 27610.962864000612 usercpu_time_millis_training 27768.05777499976 usercpu_time_millis_training 27623.374324000906 usercpu_time_millis_training 27401.24119400207 usercpu_time_millis_training 27814.56065599923 usercpu_time_millis_training 27326.340318999428 usercpu_time_millis_training 27310.15722200027 usercpu_time_millis_training 27766.01815599861