10161464 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) 8086926 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 "mean" 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 0.0008604551623133916 9667 loss "deviance" 9667 max_depth 4 9667 max_features 0.5000434651693264 9667 max_leaf_nodes null 9667 min_impurity_decrease 0.2466630918229984 9667 min_impurity_split null 9667 min_samples_leaf 3 9667 min_samples_split 10 9667 min_weight_fraction_leaf 0.09826291422149164 9667 n_estimators 1150 9667 n_iter_no_change 603 9667 presort "auto" 9667 random_state 31704 9667 subsample 0.4800657445121115 9667 tol 0.010910428330553675 9667 validation_fraction 0.8255185541008461 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 21243844 description https://api.openml.org/data/download/21243844/description.xml -1 21243845 predictions https://api.openml.org/data/download/21243845/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 16.309744642184356 mean_absolute_error 0.18000000000000138 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 0.9999999999999768 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.3000595117833735 root_relative_squared_error 1.0001983726112296 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 1.6309744642184696 kb_relative_information_score 1.6309744642184696 kb_relative_information_score 1.6309744642184696 kb_relative_information_score 1.6309744642184696 kb_relative_information_score 1.6309744642184696 kb_relative_information_score 1.6309744642184696 kb_relative_information_score 1.6309744642184696 kb_relative_information_score 1.6309744642184696 kb_relative_information_score 1.6309744642184696 kb_relative_information_score 1.6309744642184696 mean_absolute_error 0.18000000000000008 mean_absolute_error 0.18000000000000008 mean_absolute_error 0.18000000000000008 mean_absolute_error 0.18000000000000008 mean_absolute_error 0.18000000000000008 mean_absolute_error 0.18000000000000008 mean_absolute_error 0.18000000000000008 mean_absolute_error 0.18000000000000008 mean_absolute_error 0.18000000000000008 mean_absolute_error 0.18000000000000008 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 1.0000000000000016 relative_absolute_error 1.0000000000000016 relative_absolute_error 1.0000000000000016 relative_absolute_error 1.0000000000000016 relative_absolute_error 1.0000000000000016 relative_absolute_error 1.0000000000000016 relative_absolute_error 1.0000000000000016 relative_absolute_error 1.0000000000000016 relative_absolute_error 1.0000000000000016 relative_absolute_error 1.0000000000000016 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 0.30005951178337475 root_mean_squared_error 0.30005951178337475 root_mean_squared_error 0.30005951178337475 root_mean_squared_error 0.30005951178337475 root_mean_squared_error 0.30005951178337475 root_mean_squared_error 0.30005951178337475 root_mean_squared_error 0.30005951178337475 root_mean_squared_error 0.30005951178337475 root_mean_squared_error 0.30005951178337475 root_mean_squared_error 0.30005951178337475 root_relative_squared_error 1.0001983726112498 root_relative_squared_error 1.0001983726112498 root_relative_squared_error 1.0001983726112498 root_relative_squared_error 1.0001983726112498 root_relative_squared_error 1.0001983726112498 root_relative_squared_error 1.0001983726112498 root_relative_squared_error 1.0001983726112498 root_relative_squared_error 1.0001983726112498 root_relative_squared_error 1.0001983726112498 root_relative_squared_error 1.0001983726112498 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 20966.260449999936 usercpu_time_millis 20821.416252000003 usercpu_time_millis 20587.092024999947 usercpu_time_millis 20629.71611199987 usercpu_time_millis 20590.339727000013 usercpu_time_millis 20629.590136999923 usercpu_time_millis 20634.263650000095 usercpu_time_millis 20603.284618999962 usercpu_time_millis 20712.958920999998 usercpu_time_millis 20683.018672000002 usercpu_time_millis_testing 4.927802999986852 usercpu_time_millis_testing 4.738331999988077 usercpu_time_millis_testing 6.220440999982202 usercpu_time_millis_testing 4.719677999901251 usercpu_time_millis_testing 4.992055000002438 usercpu_time_millis_testing 5.431683999972847 usercpu_time_millis_testing 4.982796000035705 usercpu_time_millis_testing 6.309911000016655 usercpu_time_millis_testing 4.995254000050409 usercpu_time_millis_testing 4.807402000096772 usercpu_time_millis_training 20961.33264699995 usercpu_time_millis_training 20816.677920000016 usercpu_time_millis_training 20580.871583999964 usercpu_time_millis_training 20624.996433999968 usercpu_time_millis_training 20585.34767200001 usercpu_time_millis_training 20624.15845299995 usercpu_time_millis_training 20629.28085400006 usercpu_time_millis_training 20596.974707999947 usercpu_time_millis_training 20707.963666999945 usercpu_time_millis_training 20678.211269999905