10559845 869 Pieter Gijsbers 59 Supervised Classification predictive_accuracy 18780 sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(minmaxscaler=sklearn.preprocessing._data.MinMaxScaler,powertransformer=sklearn.preprocessing._data.PowerTransformer,robustscaler=sklearn.preprocessing._data.RobustScaler,standardscaler=sklearn.preprocessing._data.StandardScaler,randomforestclassifier=sklearn.ensemble._forest.RandomForestClassifier))(1) 8276315 Python_3.8.3. Sklearn_0.23.1. NumPy_1.19.0. SciPy_1.5.0. copy true 18722 with_mean true 18722 with_std true 18722 copy true 18775 feature_range [0, 1] 18775 copy true 18776 method "yeo-johnson" 18776 standardize true 18776 copy true 18777 quantile_range [25.0, 75.0] 18777 with_centering true 18777 with_scaling true 18777 bootstrap true 18779 ccp_alpha 0.0 18779 class_weight null 18779 criterion "gini" 18779 max_depth null 18779 max_features "auto" 18779 max_leaf_nodes null 18779 max_samples null 18779 min_impurity_decrease 0.0 18779 min_impurity_split null 18779 min_samples_leaf 1 18779 min_samples_split 2 18779 min_weight_fraction_leaf 0.0 18779 n_estimators 5 18779 n_jobs null 18779 oob_score false 18779 random_state 28930 18779 verbose 0 18779 warm_start false 18779 cv {"oml-python:serialized_object": "cv_object", "value": {"name": "sklearn.model_selection._split.StratifiedKFold", "parameters": {"n_splits": "2", "random_state": "18816", "shuffle": "true"}}} 18780 error_score NaN 18780 iid "deprecated" 18780 n_iter 1 18780 n_jobs null 18780 param_distributions {"randomforestclassifier__bootstrap": [true, false], "randomforestclassifier__criterion": ["gini", "entropy"], "randomforestclassifier__max_depth": [3, null], "randomforestclassifier__max_features": [1, 2, 3, 4], "randomforestclassifier__min_samples_leaf": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10], "randomforestclassifier__min_samples_split": [2, 3, 4, 5, 6, 7, 8, 9, 10]} 18780 pre_dispatch "2*n_jobs" 18780 random_state 2863 18780 refit true 18780 return_train_score false 18780 scoring null 18780 verbose 0 18780 memory null 18781 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "minmaxscaler", "step_name": "minmaxscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "powertransformer", "step_name": "powertransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "robustscaler", "step_name": "robustscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "randomforestclassifier", "step_name": "randomforestclassifier"}}] 18781 verbose false 18781 openml-python Sklearn_0.23.1. 61 iris https://www.openml.org/data/download/61/dataset_61_iris.arff -1 22045280 description https://api.openml.org/data/download/22045280/description.xml -1 22045281 predictions https://api.openml.org/data/download/22045281/predictions.arff -1 22045282 trace https://api.openml.org/data/download/22045282/trace.arff area_under_roc_curve 0.9781333333333333 [1,0.9647,0.9697] average_cost 0 f_measure 0.9466666666666667 [1,0.92,0.92] kappa 0.9199999999999998 kb_relative_information_score 0.9196810845970919 mean_absolute_error 0.04183059319482085 mean_prior_absolute_error 0.44444444444444337 weighted_recall 0.9466666666666667 [1,0.92,0.92] number_of_instances 150 [50,50,50] precision 0.9466666666666667 [1,0.92,0.92] predictive_accuracy 0.9466666666666668 prior_entropy 1.5849625007211599 relative_absolute_error 0.09411883468834714 root_mean_prior_squared_error 0.4714045207910311 root_mean_squared_error 0.16257702239081767 root_relative_squared_error 0.3448779449929934 total_cost 0 unweighted_recall 0.9466666666666667 [1,0.92,0.92] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.95 [1,0.9,0.95] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.9599999999999999 [1,0.94,0.94] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.95 [1,0.95,0.9] area_under_roc_curve 0.9433333333333332 [1,0.89,0.94] area_under_roc_curve 1 [1,1,1] 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 0.9326599326599326 [1,0.909091,0.888889] f_measure 1 [1,1,1] f_measure 1 [1,1,1] f_measure 0.9326599326599326 [1,0.888889,0.909091] f_measure 1 [1,1,1] f_measure 0.861111111111111 [1,0.75,0.833333] f_measure 1 [1,1,1] f_measure 0.861111111111111 [1,0.833333,0.75] f_measure 0.8666666666666667 [1,0.8,0.8] f_measure 1 [1,1,1] kappa 0.9 kappa 1 kappa 1 kappa 0.9 kappa 1 kappa 0.8 kappa 1 kappa 0.8 kappa 0.8 kappa 1 kb_relative_information_score 0.9327989619658726 kb_relative_information_score 0.9551028701038896 kb_relative_information_score 0.9456866058124676 kb_relative_information_score 0.9087286502380971 kb_relative_information_score 0.9925079384707811 kb_relative_information_score 0.7990414450035054 kb_relative_information_score 0.9861143868514888 kb_relative_information_score 0.8492093661904722 kb_relative_information_score 0.8432157169670973 kb_relative_information_score 0.9844049043672511 mean_absolute_error 0.03333333333333333 mean_absolute_error 0.02764227642276422 mean_absolute_error 0.0309810298102981 mean_absolute_error 0.04444444444444444 mean_absolute_error 0.005420054200542008 mean_absolute_error 0.10686419753086421 mean_absolute_error 0.009864498644986452 mean_absolute_error 0.07222222222222222 mean_absolute_error 0.07655826558265583 mean_absolute_error 0.010975609756097564 mean_prior_absolute_error 0.4444444444444446 mean_prior_absolute_error 0.4444444444444446 mean_prior_absolute_error 0.4444444444444446 mean_prior_absolute_error 0.4444444444444446 mean_prior_absolute_error 0.4444444444444446 mean_prior_absolute_error 0.4444444444444446 mean_prior_absolute_error 0.4444444444444446 mean_prior_absolute_error 0.4444444444444446 mean_prior_absolute_error 0.4444444444444446 mean_prior_absolute_error 0.4444444444444446 number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] precision 0.9444444444444445 [1,0.833333,1] precision 1 [1,1,1] precision 1 [1,1,1] precision 0.9444444444444445 [1,1,0.833333] precision 1 [1,1,1] precision 0.9047619047619048 [1,1,0.714286] precision 1 [1,1,1] precision 0.9047619047619048 [1,0.714286,1] precision 0.8666666666666667 [1,0.8,0.8] precision 1 [1,1,1] predictive_accuracy 0.9333333333333332 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 0.9333333333333332 predictive_accuracy 1 predictive_accuracy 0.8666666666666667 predictive_accuracy 1 predictive_accuracy 0.8666666666666667 predictive_accuracy 0.8666666666666667 predictive_accuracy 1 prior_entropy 1.5849625007211567 prior_entropy 1.5849625007211567 prior_entropy 1.5849625007211567 prior_entropy 1.5849625007211567 prior_entropy 1.5849625007211567 prior_entropy 1.5849625007211567 prior_entropy 1.5849625007211567 prior_entropy 1.5849625007211567 prior_entropy 1.5849625007211567 prior_entropy 1.5849625007211567 relative_absolute_error 0.07499999999999998 relative_absolute_error 0.06219512195121947 relative_absolute_error 0.06970731707317071 relative_absolute_error 0.09999999999999995 relative_absolute_error 0.012195121951219514 relative_absolute_error 0.24044444444444438 relative_absolute_error 0.02219512195121951 relative_absolute_error 0.16249999999999992 relative_absolute_error 0.17225609756097554 relative_absolute_error 0.02469512195121951 root_mean_prior_squared_error 0.47140452079103173 root_mean_prior_squared_error 0.47140452079103173 root_mean_prior_squared_error 0.47140452079103173 root_mean_prior_squared_error 0.47140452079103173 root_mean_prior_squared_error 0.47140452079103173 root_mean_prior_squared_error 0.47140452079103173 root_mean_prior_squared_error 0.47140452079103173 root_mean_prior_squared_error 0.47140452079103173 root_mean_prior_squared_error 0.47140452079103173 root_mean_prior_squared_error 0.47140452079103173 root_mean_squared_error 0.13228756555322954 root_mean_squared_error 0.08725458392858793 root_mean_squared_error 0.10732697663099593 root_mean_squared_error 0.21081851067789195 root_mean_squared_error 0.011497671238805657 root_mean_squared_error 0.24079794192230797 root_mean_squared_error 0.02401334812890745 root_mean_squared_error 0.2486072315029383 root_mean_squared_error 0.24881983986549 root_mean_squared_error 0.02875136324350731 root_relative_squared_error 0.2806243040080456 root_relative_squared_error 0.18509492395654578 root_relative_squared_error 0.227674898940082 root_relative_squared_error 0.44721359549995787 root_relative_squared_error 0.024390243902439032 root_relative_squared_error 0.5108095728870851 root_relative_squared_error 0.05094000390283125 root_relative_squared_error 0.5273755777432246 root_relative_squared_error 0.5278265881879164 root_relative_squared_error 0.060990851753525005 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 0.9333333333333332 [1,1,0.8] unweighted_recall 1 [1,1,1] unweighted_recall 1 [1,1,1] unweighted_recall 0.9333333333333332 [1,0.8,1] unweighted_recall 1 [1,1,1] unweighted_recall 0.8666666666666667 [1,0.6,1] unweighted_recall 1 [1,1,1] unweighted_recall 0.8666666666666667 [1,1,0.6] unweighted_recall 0.8666666666666667 [1,0.8,0.8] unweighted_recall 1 [1,1,1] usercpu_time_millis 62.5 usercpu_time_millis 62.5 usercpu_time_millis 62.5 usercpu_time_millis 62.5 usercpu_time_millis 62.5 usercpu_time_millis 62.5 usercpu_time_millis 62.5 usercpu_time_millis 62.5 usercpu_time_millis 62.5 usercpu_time_millis 62.5 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 62.5 usercpu_time_millis_training 62.5 usercpu_time_millis_training 62.5 usercpu_time_millis_training 62.5 usercpu_time_millis_training 62.5 usercpu_time_millis_training 62.5 usercpu_time_millis_training 62.5 usercpu_time_millis_training 62.5 usercpu_time_millis_training 62.5 usercpu_time_millis_training 62.5 wall_clock_time_millis 65.99879264831543 wall_clock_time_millis 66.00046157836914 wall_clock_time_millis 72.00026512145996 wall_clock_time_millis 65.99783897399902 wall_clock_time_millis 67.0003890991211 wall_clock_time_millis 67.00015068054199 wall_clock_time_millis 66.99919700622559 wall_clock_time_millis 68.00007820129395 wall_clock_time_millis 69.0011978149414 wall_clock_time_millis 65.99879264831543 wall_clock_time_millis_testing 2.000093460083008 wall_clock_time_millis_testing 3.0002593994140625 wall_clock_time_millis_testing 2.9990673065185547 wall_clock_time_millis_testing 1.9991397857666016 wall_clock_time_millis_testing 3.0002593994140625 wall_clock_time_millis_testing 3.000497817993164 wall_clock_time_millis_testing 3.001689910888672 wall_clock_time_millis_testing 1.9989013671875 wall_clock_time_millis_testing 2.000093460083008 wall_clock_time_millis_testing 2.99835205078125 wall_clock_time_millis_training 63.99869918823242 wall_clock_time_millis_training 63.00020217895508 wall_clock_time_millis_training 69.0011978149414 wall_clock_time_millis_training 63.99869918823242 wall_clock_time_millis_training 64.00012969970703 wall_clock_time_millis_training 63.99965286254883 wall_clock_time_millis_training 63.997507095336914 wall_clock_time_millis_training 66.00117683410645 wall_clock_time_millis_training 67.0011043548584 wall_clock_time_millis_training 63.00044059753418 weighted_recall 0.9333333333333333 [1,1,0.8] weighted_recall 1 [1,1,1] weighted_recall 1 [1,1,1] weighted_recall 0.9333333333333333 [1,0.8,1] weighted_recall 1 [1,1,1] weighted_recall 0.8666666666666667 [1,0.6,1] weighted_recall 1 [1,1,1] weighted_recall 0.8666666666666667 [1,1,0.6] weighted_recall 0.8666666666666667 [1,0.8,0.8] weighted_recall 1 [1,1,1]