10163057 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) 8088519 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 "median" 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 "mse" 9667 init null 9667 learning_rate 0.008148128272030413 9667 loss "deviance" 9667 max_depth 19 9667 max_features 0.9570088777243443 9667 max_leaf_nodes null 9667 min_impurity_decrease 0.8282523664727265 9667 min_impurity_split null 9667 min_samples_leaf 6 9667 min_samples_split 19 9667 min_weight_fraction_leaf 0.12072521233196515 9667 n_estimators 142 9667 n_iter_no_change 2029 9667 presort "auto" 9667 random_state 62257 9667 subsample 0.7714638223189142 9667 tol 0.03118035849912603 9667 validation_fraction 0.6973970861113006 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 21247030 description https://api.openml.org/data/download/21247030/description.xml -1 21247031 predictions https://api.openml.org/data/download/21247031/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 27.924511460726325 mean_absolute_error 0.1799999999999984 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 0.9999999999999604 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.3001458813737877 root_relative_squared_error 1.0004862712459437 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 2.792451146072586 kb_relative_information_score 2.792451146072586 kb_relative_information_score 2.792451146072586 kb_relative_information_score 2.792451146072586 kb_relative_information_score 2.792451146072586 kb_relative_information_score 2.792451146072586 kb_relative_information_score 2.792451146072586 kb_relative_information_score 2.792451146072586 kb_relative_information_score 2.792451146072586 kb_relative_information_score 2.792451146072586 mean_absolute_error 0.1799999999999998 mean_absolute_error 0.1799999999999998 mean_absolute_error 0.1799999999999998 mean_absolute_error 0.1799999999999998 mean_absolute_error 0.1799999999999998 mean_absolute_error 0.1799999999999998 mean_absolute_error 0.1799999999999998 mean_absolute_error 0.1799999999999998 mean_absolute_error 0.1799999999999998 mean_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 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 relative_absolute_error 1 relative_absolute_error 1 relative_absolute_error 1 relative_absolute_error 1 relative_absolute_error 1 relative_absolute_error 1 relative_absolute_error 1 relative_absolute_error 1 relative_absolute_error 1 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 0.30014588137378667 root_mean_squared_error 0.30014588137378667 root_mean_squared_error 0.30014588137378667 root_mean_squared_error 0.30014588137378667 root_mean_squared_error 0.30014588137378667 root_mean_squared_error 0.30014588137378667 root_mean_squared_error 0.30014588137378667 root_mean_squared_error 0.30014588137378667 root_mean_squared_error 0.30014588137378667 root_mean_squared_error 0.30014588137378667 root_relative_squared_error 1.0004862712459561 root_relative_squared_error 1.0004862712459561 root_relative_squared_error 1.0004862712459561 root_relative_squared_error 1.0004862712459561 root_relative_squared_error 1.0004862712459561 root_relative_squared_error 1.0004862712459561 root_relative_squared_error 1.0004862712459561 root_relative_squared_error 1.0004862712459561 root_relative_squared_error 1.0004862712459561 root_relative_squared_error 1.0004862712459561 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 2272.8772840000033 usercpu_time_millis 2226.742010999999 usercpu_time_millis 2217.712543999994 usercpu_time_millis 2228.008590999991 usercpu_time_millis 2232.7673350000055 usercpu_time_millis 2280.2798330000087 usercpu_time_millis 2225.9984989999566 usercpu_time_millis 2241.531101000021 usercpu_time_millis 2239.3045750000624 usercpu_time_millis 2230.7277460000137 usercpu_time_millis_testing 2.2901300000057745 usercpu_time_millis_testing 2.1945379999692705 usercpu_time_millis_testing 2.400385000044025 usercpu_time_millis_testing 2.4071249999906286 usercpu_time_millis_testing 2.4191790000145375 usercpu_time_millis_testing 2.4198689999934686 usercpu_time_millis_testing 2.5347979999992276 usercpu_time_millis_testing 2.3036830000364716 usercpu_time_millis_testing 2.533741000036116 usercpu_time_millis_testing 2.297916000031819 usercpu_time_millis_training 2270.5871539999976 usercpu_time_millis_training 2224.5474730000296 usercpu_time_millis_training 2215.31215899995 usercpu_time_millis_training 2225.6014660000005 usercpu_time_millis_training 2230.348155999991 usercpu_time_millis_training 2277.859964000015 usercpu_time_millis_training 2223.4637009999574 usercpu_time_millis_training 2239.2274179999845 usercpu_time_millis_training 2236.7708340000263 usercpu_time_millis_training 2228.429829999982