9909109 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) 7838502 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 "mean" 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 "mae" 8843 init null 8843 learning_rate 1.0772853877802442 8843 loss "deviance" 8843 max_depth 7 8843 max_features 0.299089483801543 8843 max_leaf_nodes null 8843 min_impurity_decrease 0.3713819047922431 8843 min_impurity_split null 8843 min_samples_leaf 7 8843 min_samples_split 3 8843 min_weight_fraction_leaf 0.39272313808387016 8843 n_estimators 286 8843 n_iter_no_change 771 8843 presort "auto" 8843 random_state 45516 8843 subsample 0.35980854902717785 8843 tol 1.6742022791586598e-05 8843 validation_fraction 0.21644258979433084 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 20738674 description https://api.openml.org/data/download/20738674/description.xml -1 20738675 predictions https://api.openml.org/data/download/20738675/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 35.721079593453304 mean_absolute_error 0.17999999999999858 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 [0,0,0,0,1,0,0,0,0,0] relative_absolute_error 0.9999999999999614 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.30028448091210447 root_relative_squared_error 1.0009482697069996 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 3.5721079593452627 kb_relative_information_score 3.5721079593452627 kb_relative_information_score 3.5721079593452627 kb_relative_information_score 3.5721079593452627 kb_relative_information_score 3.5721079593452627 kb_relative_information_score 3.5721079593452627 kb_relative_information_score 3.5721079593452627 kb_relative_information_score 3.5721079593452627 kb_relative_information_score 3.5721079593452627 kb_relative_information_score 3.5721079593452627 mean_absolute_error 0.1799999999999996 mean_absolute_error 0.1799999999999996 mean_absolute_error 0.1799999999999996 mean_absolute_error 0.1799999999999996 mean_absolute_error 0.1799999999999996 mean_absolute_error 0.1799999999999996 mean_absolute_error 0.1799999999999996 mean_absolute_error 0.1799999999999996 mean_absolute_error 0.1799999999999996 mean_absolute_error 0.1799999999999996 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 [0,0,0,0,1,0,0,0,0,0] recall 0.1 [0,0,0,0,1,0,0,0,0,0] recall 0.1 [0,0,0,0,1,0,0,0,0,0] recall 0.1 [0,0,0,0,1,0,0,0,0,0] recall 0.1 [0,0,0,0,1,0,0,0,0,0] recall 0.1 [0,0,0,0,1,0,0,0,0,0] recall 0.1 [0,0,0,0,1,0,0,0,0,0] recall 0.1 [0,0,0,0,1,0,0,0,0,0] recall 0.1 [0,0,0,0,1,0,0,0,0,0] recall 0.1 [0,0,0,0,1,0,0,0,0,0] relative_absolute_error 0.999999999999999 relative_absolute_error 0.999999999999999 relative_absolute_error 0.999999999999999 relative_absolute_error 0.999999999999999 relative_absolute_error 0.999999999999999 relative_absolute_error 0.999999999999999 relative_absolute_error 0.999999999999999 relative_absolute_error 0.999999999999999 relative_absolute_error 0.999999999999999 relative_absolute_error 0.999999999999999 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 0.30028448091210447 root_mean_squared_error 0.30028448091210447 root_mean_squared_error 0.30028448091210447 root_mean_squared_error 0.30028448091210447 root_mean_squared_error 0.30028448091210447 root_mean_squared_error 0.30028448091210447 root_mean_squared_error 0.30028448091210447 root_mean_squared_error 0.30028448091210447 root_mean_squared_error 0.30028448091210447 root_mean_squared_error 0.30028448091210447 root_relative_squared_error 1.0009482697070156 root_relative_squared_error 1.0009482697070156 root_relative_squared_error 1.0009482697070156 root_relative_squared_error 1.0009482697070156 root_relative_squared_error 1.0009482697070156 root_relative_squared_error 1.0009482697070156 root_relative_squared_error 1.0009482697070156 root_relative_squared_error 1.0009482697070156 root_relative_squared_error 1.0009482697070156 root_relative_squared_error 1.0009482697070156 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 23242.72634800218 usercpu_time_millis 23065.748663000704 usercpu_time_millis 22988.40120800014 usercpu_time_millis 23040.251680999063 usercpu_time_millis 23089.204595999036 usercpu_time_millis 23151.861929000006 usercpu_time_millis 23088.109202999476 usercpu_time_millis 23143.13425200089 usercpu_time_millis 23127.178417998948 usercpu_time_millis 23211.61463200042 usercpu_time_millis_testing 6.486406000476563 usercpu_time_millis_testing 5.28470099925471 usercpu_time_millis_testing 5.540670999835129 usercpu_time_millis_testing 5.8080710005015135 usercpu_time_millis_testing 5.583772999671055 usercpu_time_millis_testing 5.3238229993439745 usercpu_time_millis_testing 6.5485790000821 usercpu_time_millis_testing 5.328465000275173 usercpu_time_millis_testing 6.309354999757488 usercpu_time_millis_testing 5.349787001250661 usercpu_time_millis_training 23236.239942001703 usercpu_time_millis_training 23060.46396200145 usercpu_time_millis_training 22982.860537000306 usercpu_time_millis_training 23034.44360999856 usercpu_time_millis_training 23083.620822999364 usercpu_time_millis_training 23146.538106000662 usercpu_time_millis_training 23081.560623999394 usercpu_time_millis_training 23137.805787000616 usercpu_time_millis_training 23120.86906299919 usercpu_time_millis_training 23206.26484499917