9913447 6892 Scikit-learn Bot 14 Supervised Classification 8834 sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,gradientboostingclassifier=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier)(1) 7842830 memory null 8834 n_jobs null 8835 remainder "passthrough" 8835 sparse_threshold 0.3 8835 transformer_weights null 8835 memory null 8836 axis 0 8837 copy true 8837 missing_values "NaN" 8837 strategy "most_frequent" 8837 verbose 0 8837 copy true 8838 with_mean true 8838 with_std true 8838 memory null 8839 copy true 8840 fill_value -1 8840 missing_values NaN 8840 strategy "constant" 8840 verbose 0 8840 categorical_features null 8841 categories null 8841 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 8841 handle_unknown "ignore" 8841 n_values null 8841 sparse true 8841 threshold 0.0 8842 criterion "mse" 8843 init null 8843 learning_rate 0.1033657852803921 8843 loss "deviance" 8843 max_depth 3 8843 max_features 0.6664214849008341 8843 max_leaf_nodes null 8843 min_impurity_decrease 0.2161249777694464 8843 min_impurity_split null 8843 min_samples_leaf 9 8843 min_samples_split 19 8843 min_weight_fraction_leaf 0.16359936259352265 8843 n_estimators 319 8843 n_iter_no_change 461 8843 presort "auto" 8843 random_state 42556 8843 subsample 0.15937595006637906 8843 tol 3.770366035811245e-05 8843 validation_fraction 0.7712488970992453 8843 verbose 0 8843 warm_start false 8843 openml-python Sklearn_0.20.1. 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 20747360 description https://api.openml.org/data/download/20747360/description.xml -1 20747361 predictions https://api.openml.org/data/download/20747361/predictions.arff area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] average_cost 0 kappa 0 kb_relative_information_score 26.616821454360164 mean_absolute_error 0.1799999999999991 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] predictive_accuracy 0.1 prior_entropy 3.321928094887362 recall 0.1 [0,0,0,0,0,0,0,0,0,1] relative_absolute_error 0.9999999999999644 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.30010916361663437 root_relative_squared_error 1.0003638787220992 total_cost 0 area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] 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 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kb_relative_information_score 2.661682145435998 kb_relative_information_score 2.661682145435998 kb_relative_information_score 2.661682145435998 kb_relative_information_score 2.661682145435998 kb_relative_information_score 2.661682145435998 kb_relative_information_score 2.661682145435998 kb_relative_information_score 2.661682145435998 kb_relative_information_score 2.661682145435998 kb_relative_information_score 2.661682145435998 kb_relative_information_score 2.661682145435998 mean_absolute_error 0.18000000000000005 mean_absolute_error 0.18000000000000005 mean_absolute_error 0.18000000000000005 mean_absolute_error 0.18000000000000005 mean_absolute_error 0.18000000000000005 mean_absolute_error 0.18000000000000005 mean_absolute_error 0.18000000000000005 mean_absolute_error 0.18000000000000005 mean_absolute_error 0.18000000000000005 mean_absolute_error 0.18000000000000005 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] predictive_accuracy 0.1 predictive_accuracy 0.1 predictive_accuracy 0.1 predictive_accuracy 0.1 predictive_accuracy 0.1 predictive_accuracy 0.1 predictive_accuracy 0.1 predictive_accuracy 0.1 predictive_accuracy 0.1 predictive_accuracy 0.1 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 recall 0.1 [0,0,0,0,0,0,0,0,0,1] recall 0.1 [0,0,0,0,0,0,0,0,0,1] recall 0.1 [0,0,0,0,0,0,0,0,0,1] recall 0.1 [0,0,0,0,0,0,0,0,0,1] recall 0.1 [0,0,0,0,0,0,0,0,0,1] recall 0.1 [0,0,0,0,0,0,0,0,0,1] recall 0.1 [0,0,0,0,0,0,0,0,0,1] recall 0.1 [0,0,0,0,0,0,0,0,0,1] recall 0.1 [0,0,0,0,0,0,0,0,0,1] recall 0.1 [0,0,0,0,0,0,0,0,0,1] relative_absolute_error 1.0000000000000013 relative_absolute_error 1.0000000000000013 relative_absolute_error 1.0000000000000013 relative_absolute_error 1.0000000000000013 relative_absolute_error 1.0000000000000013 relative_absolute_error 1.0000000000000013 relative_absolute_error 1.0000000000000013 relative_absolute_error 1.0000000000000013 relative_absolute_error 1.0000000000000013 relative_absolute_error 1.0000000000000013 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_squared_error 0.30010916361663276 root_mean_squared_error 0.30010916361663276 root_mean_squared_error 0.30010916361663276 root_mean_squared_error 0.30010916361663276 root_mean_squared_error 0.30010916361663276 root_mean_squared_error 0.30010916361663276 root_mean_squared_error 0.30010916361663276 root_mean_squared_error 0.30010916361663276 root_mean_squared_error 0.30010916361663276 root_mean_squared_error 0.30010916361663276 root_relative_squared_error 1.0003638787221099 root_relative_squared_error 1.0003638787221099 root_relative_squared_error 1.0003638787221099 root_relative_squared_error 1.0003638787221099 root_relative_squared_error 1.0003638787221099 root_relative_squared_error 1.0003638787221099 root_relative_squared_error 1.0003638787221099 root_relative_squared_error 1.0003638787221099 root_relative_squared_error 1.0003638787221099 root_relative_squared_error 1.0003638787221099 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 5535.554522000098 usercpu_time_millis 5548.316411999963 usercpu_time_millis 5572.7939040000365 usercpu_time_millis 5552.275958999871 usercpu_time_millis 5550.312414000018 usercpu_time_millis 5554.2001580000715 usercpu_time_millis 5517.879068999946 usercpu_time_millis 5520.456336999928 usercpu_time_millis 5572.620536000045 usercpu_time_millis 5588.2091430000855 usercpu_time_millis_testing 6.391956000015853 usercpu_time_millis_testing 5.978371999958654 usercpu_time_millis_testing 6.490829999961534 usercpu_time_millis_testing 5.994443999952637 usercpu_time_millis_testing 6.68284699997912 usercpu_time_millis_testing 6.321025000033842 usercpu_time_millis_testing 7.377505000022211 usercpu_time_millis_testing 6.141492999972797 usercpu_time_millis_testing 6.474069999967469 usercpu_time_millis_testing 6.106904000034774 usercpu_time_millis_training 5529.162566000082 usercpu_time_millis_training 5542.338040000004 usercpu_time_millis_training 5566.303074000075 usercpu_time_millis_training 5546.281514999919 usercpu_time_millis_training 5543.629567000039 usercpu_time_millis_training 5547.879133000038 usercpu_time_millis_training 5510.501563999924 usercpu_time_millis_training 5514.314843999955 usercpu_time_millis_training 5566.146466000077 usercpu_time_millis_training 5582.102239000051