9913565 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) 7842948 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 0.01814696727007846 8843 loss "deviance" 8843 max_depth 3 8843 max_features 0.1698167254602969 8843 max_leaf_nodes null 8843 min_impurity_decrease 0.9063446549524844 8843 min_impurity_split null 8843 min_samples_leaf 11 8843 min_samples_split 16 8843 min_weight_fraction_leaf 0.14175736297781583 8843 n_estimators 107 8843 n_iter_no_change 722 8843 presort "auto" 8843 random_state 23778 8843 subsample 0.569760335985337 8843 tol 0.0017207995002579116 8843 validation_fraction 0.8355203724313467 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 20747596 description https://api.openml.org/data/download/20747596/description.xml -1 20747597 predictions https://api.openml.org/data/download/20747597/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 38.67287439103008 mean_absolute_error 0.17999999999999847 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 [0,0,0,0,0,1,0,0,0,0] relative_absolute_error 0.9999999999999608 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.3002848624417635 root_relative_squared_error 1.0009495414725296 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 3.867287439103029 kb_relative_information_score 3.867287439103029 kb_relative_information_score 3.867287439103029 kb_relative_information_score 3.867287439103029 kb_relative_information_score 3.867287439103029 kb_relative_information_score 3.867287439103029 kb_relative_information_score 3.867287439103029 kb_relative_information_score 3.867287439103029 kb_relative_information_score 3.867287439103029 kb_relative_information_score 3.867287439103029 mean_absolute_error 0.18000000000000033 mean_absolute_error 0.18000000000000033 mean_absolute_error 0.18000000000000033 mean_absolute_error 0.18000000000000033 mean_absolute_error 0.18000000000000033 mean_absolute_error 0.18000000000000033 mean_absolute_error 0.18000000000000033 mean_absolute_error 0.18000000000000033 mean_absolute_error 0.18000000000000033 mean_absolute_error 0.18000000000000033 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 [0,0,0,0,0,1,0,0,0,0] recall 0.1 [0,0,0,0,0,1,0,0,0,0] recall 0.1 [0,0,0,0,0,1,0,0,0,0] recall 0.1 [0,0,0,0,0,1,0,0,0,0] recall 0.1 [0,0,0,0,0,1,0,0,0,0] recall 0.1 [0,0,0,0,0,1,0,0,0,0] recall 0.1 [0,0,0,0,0,1,0,0,0,0] recall 0.1 [0,0,0,0,0,1,0,0,0,0] recall 0.1 [0,0,0,0,0,1,0,0,0,0] recall 0.1 [0,0,0,0,0,1,0,0,0,0] relative_absolute_error 1.0000000000000029 relative_absolute_error 1.0000000000000029 relative_absolute_error 1.0000000000000029 relative_absolute_error 1.0000000000000029 relative_absolute_error 1.0000000000000029 relative_absolute_error 1.0000000000000029 relative_absolute_error 1.0000000000000029 relative_absolute_error 1.0000000000000029 relative_absolute_error 1.0000000000000029 relative_absolute_error 1.0000000000000029 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 0.30028486244176394 root_mean_squared_error 0.30028486244176394 root_mean_squared_error 0.30028486244176394 root_mean_squared_error 0.30028486244176394 root_mean_squared_error 0.30028486244176394 root_mean_squared_error 0.30028486244176394 root_mean_squared_error 0.30028486244176394 root_mean_squared_error 0.30028486244176394 root_mean_squared_error 0.30028486244176394 root_mean_squared_error 0.30028486244176394 root_relative_squared_error 1.000949541472547 root_relative_squared_error 1.000949541472547 root_relative_squared_error 1.000949541472547 root_relative_squared_error 1.000949541472547 root_relative_squared_error 1.000949541472547 root_relative_squared_error 1.000949541472547 root_relative_squared_error 1.000949541472547 root_relative_squared_error 1.000949541472547 root_relative_squared_error 1.000949541472547 root_relative_squared_error 1.000949541472547 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 3768.532111000013 usercpu_time_millis 3783.493774000135 usercpu_time_millis 3763.0191179998747 usercpu_time_millis 3781.088934999957 usercpu_time_millis 3742.569087999982 usercpu_time_millis 3769.0542850000384 usercpu_time_millis 3813.068326000007 usercpu_time_millis 3755.9142519999114 usercpu_time_millis 3747.334613000021 usercpu_time_millis 3741.234750999979 usercpu_time_millis_testing 3.795277999984137 usercpu_time_millis_testing 3.8892460000852225 usercpu_time_millis_testing 4.164512999977887 usercpu_time_millis_testing 3.845758000011301 usercpu_time_millis_testing 4.060686999991958 usercpu_time_millis_testing 3.814016999967862 usercpu_time_millis_testing 3.8721930000065186 usercpu_time_millis_testing 3.691378999974404 usercpu_time_millis_testing 3.856483000049593 usercpu_time_millis_testing 3.704903999960152 usercpu_time_millis_training 3764.736833000029 usercpu_time_millis_training 3779.60452800005 usercpu_time_millis_training 3758.8546049998968 usercpu_time_millis_training 3777.2431769999457 usercpu_time_millis_training 3738.50840099999 usercpu_time_millis_training 3765.2402680000705 usercpu_time_millis_training 3809.1961330000004 usercpu_time_millis_training 3752.222872999937 usercpu_time_millis_training 3743.4781299999713 usercpu_time_millis_training 3737.529847000019