7934548 3958 Wei-Sheng Chen 59 Supervised Classification predictive_accuracy 7191 sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer,OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,Classifier=sklearn.ensemble.forest.RandomForestClassifier)(7) 5965609 bootstrap true 7181 class_weight null 7181 criterion "gini" 7181 max_depth null 7181 max_features "auto" 7181 max_leaf_nodes null 7181 min_impurity_decrease 0.0 7181 min_impurity_split null 7181 min_samples_leaf 1 7181 min_samples_split 2 7181 min_weight_fraction_leaf 0.0 7181 n_estimators 10 7181 n_jobs 1 7181 oob_score false 7181 random_state 63714 7181 verbose 0 7181 warm_start false 7181 memory null 7191 axis 0 7192 copy true 7192 missing_values "NaN" 7192 strategy "median" 7192 verbose 0 7192 categorical_features "all" 7193 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 7193 handle_unknown "ignore" 7193 n_values "auto" 7193 sparse false 7193 openml-python Sklearn_0.19.0. 61 iris https://www.openml.org/data/download/61/dataset_61_iris.arff -1 16792130 description https://api.openml.org/data/download/16792130/description.xml -1 16792131 predictions https://api.openml.org/data/download/16792131/predictions.arff area_under_roc_curve 0.9803333333333332 [1,0.9683,0.9727] average_cost 0 f_measure 0.9465811965811967 [1,0.923077,0.916667] kappa 0.9199999999999998 kb_relative_information_score 132.5087852080196 mean_absolute_error 0.0634106219794 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 0.14267389945365036 root_mean_prior_squared_error 0.4714045207910311 root_mean_squared_error 0.18586268856406854 root_relative_squared_error 0.3942743023596492 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 0.9733333333333334 [1,0.96,0.96] 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 0.9866666666666667 [1,0.98,0.98] area_under_roc_curve 1 [1,1,1] 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 0.8666666666666667 [1,0.8,0.8] 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] f_measure 0.9326599326599326 [1,0.909091,0.888889] kappa 1 kappa 1 kappa 1 kappa 0.9 kappa 0.9 kappa 0.8 kappa 0.9 kappa 0.9 kappa 0.9 kappa 0.9 kb_relative_information_score 13.369425051246676 kb_relative_information_score 14.235290259864332 kb_relative_information_score 14.577848779786809 kb_relative_information_score 13.350301762391528 kb_relative_information_score 12.890783614343842 kb_relative_information_score 11.610295213930806 kb_relative_information_score 13.351134603545596 kb_relative_information_score 12.897441756791265 kb_relative_information_score 13.374011480952868 kb_relative_information_score 12.852252685165652 mean_absolute_error 0.0657345734188 mean_absolute_error 0.03363035657146666 mean_absolute_error 0.01819192787871111 mean_absolute_error 0.056888888888888885 mean_absolute_error 0.07514638447972667 mean_absolute_error 0.11664029180697777 mean_absolute_error 0.058263979933208886 mean_absolute_error 0.07618750748164223 mean_absolute_error 0.0552740255196 mean_absolute_error 0.07814828381497778 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 0.8666666666666667 [1,0.8,0.8] precision 0.9444444444444445 [1,0.833333,1] 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 0.8666666666666667 predictive_accuracy 0.9333333333333332 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 0.8666666666666667 [1,0.8,0.8] recall 0.9333333333333333 [1,1,0.8] recall 0.9333333333333333 [1,1,0.8] recall 0.9333333333333333 [1,1,0.8] recall 0.9333333333333333 [1,1,0.8] relative_absolute_error 0.14790279019229996 relative_absolute_error 0.07566830228579996 relative_absolute_error 0.04093183772709999 relative_absolute_error 0.12799999999999995 relative_absolute_error 0.16907936507938498 relative_absolute_error 0.2624406565656999 relative_absolute_error 0.13109395484971997 relative_absolute_error 0.17142189183369497 relative_absolute_error 0.12436655741909997 relative_absolute_error 0.17583363858369996 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 0.13082098925891758 root_mean_squared_error 0.08023685647948786 root_mean_squared_error 0.0636314513058725 root_mean_squared_error 0.21086067016450039 root_mean_squared_error 0.21782668882874934 root_mean_squared_error 0.283153678841046 root_mean_squared_error 0.15862980279996755 root_mean_squared_error 0.1865418668869355 root_mean_squared_error 0.19394819313664874 root_mean_squared_error 0.21950960241052808 root_relative_squared_error 0.2775132258795393 root_relative_squared_error 0.1702080759532129 root_relative_squared_error 0.1349826921453721 root_relative_squared_error 0.44730302927657434 root_relative_squared_error 0.4620801863826618 root_relative_squared_error 0.6006596592792642 root_relative_squared_error 0.33650462777442547 root_relative_squared_error 0.39571505715285105 root_relative_squared_error 0.41142624769740765 root_relative_squared_error 0.4656501852001419 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