9918168 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) 7847543 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 "mae" 8843 init null 8843 learning_rate 0.4818376290137249 8843 loss "deviance" 8843 max_depth 7 8843 max_features 0.20718451338670063 8843 max_leaf_nodes null 8843 min_impurity_decrease 0.777967496007028 8843 min_impurity_split null 8843 min_samples_leaf 9 8843 min_samples_split 9 8843 min_weight_fraction_leaf 0.23119381145715528 8843 n_estimators 389 8843 n_iter_no_change 147 8843 presort "auto" 8843 random_state 25879 8843 subsample 0.862930646734852 8843 tol 1.3529138055750119e-05 8843 validation_fraction 0.33900372392917355 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 20756804 description https://api.openml.org/data/download/20756804/description.xml -1 20756805 predictions https://api.openml.org/data/download/20756805/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 17.679170306950017 mean_absolute_error 0.1799999999999996 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 [0,0,1,0,0,0,0,0,0,0] relative_absolute_error 0.999999999999967 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.30005484768737245 root_relative_squared_error 1.0001828256245595 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 1.767917030695008 kb_relative_information_score 1.767917030695008 kb_relative_information_score 1.767917030695008 kb_relative_information_score 1.767917030695008 kb_relative_information_score 1.767917030695008 kb_relative_information_score 1.767917030695008 kb_relative_information_score 1.767917030695008 kb_relative_information_score 1.767917030695008 kb_relative_information_score 1.767917030695008 kb_relative_information_score 1.767917030695008 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 [0,0,1,0,0,0,0,0,0,0] recall 0.1 [0,0,1,0,0,0,0,0,0,0] recall 0.1 [0,0,1,0,0,0,0,0,0,0] recall 0.1 [0,0,1,0,0,0,0,0,0,0] recall 0.1 [0,0,1,0,0,0,0,0,0,0] recall 0.1 [0,0,1,0,0,0,0,0,0,0] recall 0.1 [0,0,1,0,0,0,0,0,0,0] recall 0.1 [0,0,1,0,0,0,0,0,0,0] recall 0.1 [0,0,1,0,0,0,0,0,0,0] recall 0.1 [0,0,1,0,0,0,0,0,0,0] 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 0.3000548476873705 root_mean_squared_error 0.3000548476873705 root_mean_squared_error 0.3000548476873705 root_mean_squared_error 0.3000548476873705 root_mean_squared_error 0.3000548476873705 root_mean_squared_error 0.3000548476873705 root_mean_squared_error 0.3000548476873705 root_mean_squared_error 0.3000548476873705 root_mean_squared_error 0.3000548476873705 root_mean_squared_error 0.3000548476873705 root_relative_squared_error 1.000182825624569 root_relative_squared_error 1.000182825624569 root_relative_squared_error 1.000182825624569 root_relative_squared_error 1.000182825624569 root_relative_squared_error 1.000182825624569 root_relative_squared_error 1.000182825624569 root_relative_squared_error 1.000182825624569 root_relative_squared_error 1.000182825624569 root_relative_squared_error 1.000182825624569 root_relative_squared_error 1.000182825624569 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 102454.16963599564 usercpu_time_millis 101727.32655500295 usercpu_time_millis 101944.6473220014 usercpu_time_millis 101812.27910600137 usercpu_time_millis 101651.8112479971 usercpu_time_millis 101555.66827399889 usercpu_time_millis 102067.36859599187 usercpu_time_millis 101560.65089600452 usercpu_time_millis 101973.21962099522 usercpu_time_millis 101567.87089300633 usercpu_time_millis_testing 7.5998999964213 usercpu_time_millis_testing 6.991550006205216 usercpu_time_millis_testing 7.715275001828559 usercpu_time_millis_testing 7.116277003660798 usercpu_time_millis_testing 7.8905389964347705 usercpu_time_millis_testing 7.034864000161178 usercpu_time_millis_testing 7.974688996910118 usercpu_time_millis_testing 6.865964998723939 usercpu_time_millis_testing 7.606792001752183 usercpu_time_millis_testing 6.8118580093141645 usercpu_time_millis_training 102446.56973599922 usercpu_time_millis_training 101720.33500499674 usercpu_time_millis_training 101936.93204699957 usercpu_time_millis_training 101805.16282899771 usercpu_time_millis_training 101643.92070900067 usercpu_time_millis_training 101548.63340999873 usercpu_time_millis_training 102059.39390699496 usercpu_time_millis_training 101553.7849310058 usercpu_time_millis_training 101965.61282899347 usercpu_time_millis_training 101561.05903499702