7946791 1140 Andreas Mueller 59 Supervised Classification predictive_accuracy 7247 sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer,OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,Classifier=sklearn.ensemble.forest.RandomForestClassifier)(9) 5977261 bootstrap true 7245 class_weight null 7245 criterion "gini" 7245 max_depth null 7245 max_features "auto" 7245 max_leaf_nodes null 7245 min_impurity_split 1e-07 7245 min_samples_leaf 1 7245 min_samples_split 2 7245 min_weight_fraction_leaf 0.0 7245 n_estimators 10 7245 n_jobs 1 7245 oob_score false 7245 random_state 42735 7245 verbose 0 7245 warm_start false 7245 axis 0 7248 copy true 7248 missing_values "NaN" 7248 strategy "median" 7248 verbose 0 7248 categorical_features "all" 7249 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 7249 handle_unknown "ignore" 7249 n_values "auto" 7249 sparse false 7249 openml-python Sklearn_0.18.2. 61 iris https://www.openml.org/data/download/61/dataset_61_iris.arff -1 16816989 description https://api.openml.org/data/download/16816989/description.xml -1 16816990 predictions https://api.openml.org/data/download/16816990/predictions.arff area_under_roc_curve 0.9789333333333333 [1,0.9675,0.9693] average_cost 0 f_measure 0.9465811965811967 [1,0.923077,0.916667] kappa 0.9199999999999998 kb_relative_information_score 132.37190650741056 mean_absolute_error 0.06401200036204 mean_prior_absolute_error 0.44444444444444337 number_of_instances 150 [50,50,50] precision 0.9484702093397746 [1,0.888889,0.956522] predictive_accuracy 0.9466666666666668 prior_entropy 1.584962500721156 recall 0.9466666666666667 [1,0.96,0.88] relative_absolute_error 0.14402700081459033 root_mean_prior_squared_error 0.4714045207910311 root_mean_squared_error 0.1877557143609843 root_relative_squared_error 0.39829001649352974 total_cost 0 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 0.9933333333333333 [1,0.99,0.99] area_under_roc_curve 0.9666666666666667 [1,0.95,0.95] area_under_roc_curve 0.9233333333333335 [1,0.86,0.91] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.98 [1,0.98,0.96] area_under_roc_curve 0.9866666666666667 [1,0.98,0.98] area_under_roc_curve 0.9666666666666667 [1,0.95,0.95] 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 1 [1,1,1] f_measure 1 [1,1,1] f_measure 1 [1,1,1] f_measure 0.9326599326599326 [1,0.888889,0.909091] f_measure 0.9326599326599326 [1,0.909091,0.888889] f_measure 0.7979797979797979 [1,0.727273,0.666667] f_measure 1 [1,1,1] f_measure 0.9326599326599326 [1,0.909091,0.888889] f_measure 0.9326599326599326 [1,0.909091,0.888889] f_measure 0.9326599326599326 [1,0.909091,0.888889] kappa 1 kappa 1 kappa 1 kappa 0.9 kappa 0.9 kappa 0.7000000000000001 kappa 1 kappa 0.9 kappa 0.9 kappa 0.9 kb_relative_information_score 13.518621642687307 kb_relative_information_score 14.034200802803653 kb_relative_information_score 14.580495903469284 kb_relative_information_score 13.630929753571461 kb_relative_information_score 12.635009276719174 kb_relative_information_score 11.148720330749809 kb_relative_information_score 13.634287861314803 kb_relative_information_score 12.808837369806986 kb_relative_information_score 13.377821645119258 kb_relative_information_score 13.002981921168614 mean_absolute_error 0.0628684463684 mean_absolute_error 0.03990991697511112 mean_absolute_error 0.018074563054933334 mean_absolute_error 0.04444444444444444 mean_absolute_error 0.08363235529902222 mean_absolute_error 0.12815977602644446 mean_absolute_error 0.05752630811453333 mean_absolute_error 0.07807957474626666 mean_absolute_error 0.05567003983666667 mean_absolute_error 0.07175457875457777 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 1 [1,1,1] precision 1 [1,1,1] precision 1 [1,1,1] precision 0.9444444444444445 [1,1,0.833333] precision 0.9444444444444445 [1,0.833333,1] precision 0.8055555555555555 [1,0.666667,0.75] precision 1 [1,1,1] precision 0.9444444444444445 [1,0.833333,1] precision 0.9444444444444445 [1,0.833333,1] precision 0.9444444444444445 [1,0.833333,1] predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 0.9333333333333332 predictive_accuracy 0.9333333333333332 predictive_accuracy 0.8 predictive_accuracy 1 predictive_accuracy 0.9333333333333332 predictive_accuracy 0.9333333333333332 predictive_accuracy 0.9333333333333332 prior_entropy 1.584962500721156 prior_entropy 1.584962500721156 prior_entropy 1.584962500721156 prior_entropy 1.584962500721156 prior_entropy 1.584962500721156 prior_entropy 1.584962500721156 prior_entropy 1.584962500721156 prior_entropy 1.584962500721156 prior_entropy 1.584962500721156 prior_entropy 1.584962500721156 recall 1 [1,1,1] recall 1 [1,1,1] recall 1 [1,1,1] recall 0.9333333333333333 [1,0.8,1] recall 0.9333333333333333 [1,1,0.8] recall 0.8 [1,0.8,0.6] recall 1 [1,1,1] recall 0.9333333333333333 [1,1,0.8] recall 0.9333333333333333 [1,1,0.8] recall 0.9333333333333333 [1,1,0.8] relative_absolute_error 0.14145400432889996 relative_absolute_error 0.08979731319399999 relative_absolute_error 0.04066776687359999 relative_absolute_error 0.09999999999999995 relative_absolute_error 0.1881727994227999 relative_absolute_error 0.28835949605949995 relative_absolute_error 0.12943419325769995 relative_absolute_error 0.1756790431790999 relative_absolute_error 0.12525758963249997 relative_absolute_error 0.16144780219779992 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 0.12059391633120484 root_mean_squared_error 0.10505041551563257 root_mean_squared_error 0.06344377217786074 root_mean_squared_error 0.2081999573060048 root_mean_squared_error 0.22747384756000533 root_mean_squared_error 0.3036557990523366 root_mean_squared_error 0.11918501212146287 root_mean_squared_error 0.19259814915232779 root_mean_squared_error 0.1956470498704952 root_mean_squared_error 0.21457676465396452 root_relative_squared_error 0.2558183280229142 root_relative_squared_error 0.22284558353270487 root_relative_squared_error 0.1345845645930592 root_relative_squared_error 0.4416588049614769 root_relative_squared_error 0.4825449004568242 root_relative_squared_error 0.6441512239695804 root_relative_squared_error 0.25282959086066176 root_relative_squared_error 0.4085623719287672 root_relative_squared_error 0.4150300670477094 root_relative_squared_error 0.4551860561156646 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 18.666155000000018 usercpu_time_millis 17.14974199999908 usercpu_time_millis 17.129719000001487 usercpu_time_millis 16.428212999999303 usercpu_time_millis 15.767561999998847 usercpu_time_millis 14.75371999999986 usercpu_time_millis 14.631473999999756 usercpu_time_millis 14.615284000001338 usercpu_time_millis 15.65532499999911 usercpu_time_millis 15.266976000001264 usercpu_time_millis_testing 3.8741709999996488 usercpu_time_millis_testing 3.799534999998855 usercpu_time_millis_testing 3.6416120000009045 usercpu_time_millis_testing 3.6416660000000434 usercpu_time_millis_testing 3.385457000000258 usercpu_time_millis_testing 3.1462189999995616 usercpu_time_millis_testing 3.1567829999996633 usercpu_time_millis_testing 3.583178000001297 usercpu_time_millis_testing 3.308069999999219 usercpu_time_millis_testing 3.3563350000012093 usercpu_time_millis_training 14.791984000000369 usercpu_time_millis_training 13.350207000000225 usercpu_time_millis_training 13.488107000000582 usercpu_time_millis_training 12.78654699999926 usercpu_time_millis_training 12.382104999998589 usercpu_time_millis_training 11.607501000000298 usercpu_time_millis_training 11.474691000000092 usercpu_time_millis_training 11.032106000000041 usercpu_time_millis_training 12.34725499999989 usercpu_time_millis_training 11.910641000000055