10166112 1 Jan van Rijn 14 Supervised Classification 9666 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)(4) 8091575 copy true 9559 fill_value -1 9559 missing_values NaN 9559 strategy "constant" 9559 verbose 0 9559 n_jobs null 9606 remainder "passthrough" 9606 sparse_threshold 0.3 9606 transformer_weights null 9606 transformers [{"oml-python:serialized_object": "component_reference", "value": {"key": "numeric", "step_name": "numeric", "argument_1": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "nominal", "step_name": "nominal", "argument_1": []}}] 9606 memory null 9607 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}] 9607 axis 0 9608 copy true 9608 missing_values "NaN" 9608 strategy "most_frequent" 9608 verbose 0 9608 copy true 9609 with_mean true 9609 with_std true 9609 memory null 9610 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}] 9610 categorical_features null 9611 categories null 9611 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 9611 handle_unknown "ignore" 9611 n_values null 9611 sparse true 9611 threshold 0.0 9612 memory null 9666 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "variancethreshold", "step_name": "variancethreshold"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "gradientboostingclassifier", "step_name": "gradientboostingclassifier"}}] 9666 criterion "mae" 9667 init null 9667 learning_rate 4.724594226866151e-05 9667 loss "deviance" 9667 max_depth 2 9667 max_features 0.8856604874006045 9667 max_leaf_nodes null 9667 min_impurity_decrease 0.8175985243421686 9667 min_impurity_split null 9667 min_samples_leaf 12 9667 min_samples_split 5 9667 min_weight_fraction_leaf 0.23674668879313615 9667 n_estimators 302 9667 n_iter_no_change 1334 9667 presort "auto" 9667 random_state 56870 9667 subsample 0.8473102403008693 9667 tol 0.07986826209803373 9667 validation_fraction 0.6832710000948464 9667 verbose 0 9667 warm_start false 9667 openml-python Sklearn_0.20.3. 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 21253140 description https://api.openml.org/data/download/21253140/description.xml -1 21253142 predictions https://api.openml.org/data/download/21253142/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 3.636106730918422 mean_absolute_error 0.1800000000000001 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 0.9999999999999697 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.30000242497068863 root_relative_squared_error 1.0000080832356135 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 0.36361067309184003 kb_relative_information_score 0.36361067309184003 kb_relative_information_score 0.36361067309184003 kb_relative_information_score 0.36361067309184003 kb_relative_information_score 0.36361067309184003 kb_relative_information_score 0.36361067309184003 kb_relative_information_score 0.36361067309184003 kb_relative_information_score 0.36361067309184003 kb_relative_information_score 0.36361067309184003 kb_relative_information_score 0.36361067309184003 mean_absolute_error 0.18000000000000052 mean_absolute_error 0.18000000000000052 mean_absolute_error 0.18000000000000052 mean_absolute_error 0.18000000000000052 mean_absolute_error 0.18000000000000052 mean_absolute_error 0.18000000000000052 mean_absolute_error 0.18000000000000052 mean_absolute_error 0.18000000000000052 mean_absolute_error 0.18000000000000052 mean_absolute_error 0.18000000000000052 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 1.0000000000000042 relative_absolute_error 1.0000000000000042 relative_absolute_error 1.0000000000000042 relative_absolute_error 1.0000000000000042 relative_absolute_error 1.0000000000000042 relative_absolute_error 1.0000000000000042 relative_absolute_error 1.0000000000000042 relative_absolute_error 1.0000000000000042 relative_absolute_error 1.0000000000000042 relative_absolute_error 1.0000000000000042 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 0.3000024249706866 root_mean_squared_error 0.3000024249706866 root_mean_squared_error 0.3000024249706866 root_mean_squared_error 0.3000024249706866 root_mean_squared_error 0.3000024249706866 root_mean_squared_error 0.3000024249706866 root_mean_squared_error 0.3000024249706866 root_mean_squared_error 0.3000024249706866 root_mean_squared_error 0.3000024249706866 root_mean_squared_error 0.3000024249706866 root_relative_squared_error 1.0000080832356226 root_relative_squared_error 1.0000080832356226 root_relative_squared_error 1.0000080832356226 root_relative_squared_error 1.0000080832356226 root_relative_squared_error 1.0000080832356226 root_relative_squared_error 1.0000080832356226 root_relative_squared_error 1.0000080832356226 root_relative_squared_error 1.0000080832356226 root_relative_squared_error 1.0000080832356226 root_relative_squared_error 1.0000080832356226 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 82372.415238 usercpu_time_millis 84032.40785099998 usercpu_time_millis 82751.25952100001 usercpu_time_millis 82759.42547900006 usercpu_time_millis 82775.71262800001 usercpu_time_millis 82659.41213699995 usercpu_time_millis 82905.47893500008 usercpu_time_millis 83035.77937299997 usercpu_time_millis 83076.40502099993 usercpu_time_millis 82875.53298 usercpu_time_millis_testing 5.146823999993444 usercpu_time_millis_testing 4.001496999990195 usercpu_time_millis_testing 4.861704999996164 usercpu_time_millis_testing 4.324223000025995 usercpu_time_millis_testing 5.02955799998972 usercpu_time_millis_testing 3.942263999988427 usercpu_time_millis_testing 5.22627400005149 usercpu_time_millis_testing 3.871567000032883 usercpu_time_millis_testing 5.286653999974078 usercpu_time_millis_testing 4.12284300000465 usercpu_time_millis_training 82367.268414 usercpu_time_millis_training 84028.40635399999 usercpu_time_millis_training 82746.39781600001 usercpu_time_millis_training 82755.10125600002 usercpu_time_millis_training 82770.68307000001 usercpu_time_millis_training 82655.46987299997 usercpu_time_millis_training 82900.25266100002 usercpu_time_millis_training 83031.90780599993 usercpu_time_millis_training 83071.11836699994 usercpu_time_millis_training 82871.410137