10223133 1 Jan van Rijn 3543 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) 8148565 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": [1, 3]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "nominal", "step_name": "nominal", "argument_1": [0, 2, 4]}}] 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 "mae" 9667 init null 9667 learning_rate 5.2667690491168124e-05 9667 loss "deviance" 9667 max_depth 25 9667 max_features 0.2802734723904863 9667 max_leaf_nodes null 9667 min_impurity_decrease 0.99362967811704 9667 min_impurity_split null 9667 min_samples_leaf 18 9667 min_samples_split 9 9667 min_weight_fraction_leaf 0.4963333429189611 9667 n_estimators 202 9667 n_iter_no_change 966 9667 presort "auto" 9667 random_state 3321 9667 subsample 0.7673211467546728 9667 tol 0.0036697456193534998 9667 validation_fraction 0.4510591774976702 9667 verbose 0 9667 warm_start false 9667 openml-python Sklearn_0.20.3. 451 irish https://www.openml.org/data/download/52563/irish.arff -1 21367182 description https://api.openml.org/data/download/21367182/description.xml -1 21367183 predictions https://api.openml.org/data/download/21367183/predictions.arff area_under_roc_curve 0.5 [0.5,0.5] average_cost 0 kappa 0 kb_relative_information_score 2.1829355613196504 mean_absolute_error 0.4920637145187148 mean_prior_absolute_error 0.49375298804780854 number_of_instances 500 [278,222] predictive_accuracy 0.556 prior_entropy 0.9910046621528215 recall 0.556 [1,0] relative_absolute_error 0.9965787072281368 root_mean_prior_squared_error 0.49685415342632255 root_mean_squared_error 0.4970762621975698 root_relative_squared_error 1.00044703011883 total_cost 0 area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 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 0.23388595299853396 kb_relative_information_score 0.23388595299853396 kb_relative_information_score 0.23388595299853396 kb_relative_information_score 0.23388595299853396 kb_relative_information_score 0.23388595299853396 kb_relative_information_score 0.23388595299853396 kb_relative_information_score 0.23388595299853396 kb_relative_information_score 0.23388595299853396 kb_relative_information_score 0.1559239686656893 kb_relative_information_score 0.1559239686656893 mean_absolute_error 0.491496836984337 mean_absolute_error 0.491496836984337 mean_absolute_error 0.491496836984337 mean_absolute_error 0.491496836984337 mean_absolute_error 0.491496836984337 mean_absolute_error 0.491496836984337 mean_absolute_error 0.491496836984337 mean_absolute_error 0.491496836984337 mean_absolute_error 0.4943312246562247 mean_absolute_error 0.4943312246562247 mean_prior_absolute_error 0.49330677290836705 mean_prior_absolute_error 0.49330677290836705 mean_prior_absolute_error 0.49330677290836705 mean_prior_absolute_error 0.49330677290836705 mean_prior_absolute_error 0.49330677290836705 mean_prior_absolute_error 0.49330677290836705 mean_prior_absolute_error 0.49330677290836705 mean_prior_absolute_error 0.49330677290836705 mean_prior_absolute_error 0.49553784860557826 mean_prior_absolute_error 0.49553784860557826 number_of_instances 50 [28,22] number_of_instances 50 [28,22] number_of_instances 50 [28,22] number_of_instances 50 [28,22] number_of_instances 50 [28,22] number_of_instances 50 [28,22] number_of_instances 50 [28,22] number_of_instances 50 [28,22] number_of_instances 50 [27,23] number_of_instances 50 [27,23] predictive_accuracy 0.56 predictive_accuracy 0.56 predictive_accuracy 0.56 predictive_accuracy 0.56 predictive_accuracy 0.56 predictive_accuracy 0.56 predictive_accuracy 0.56 predictive_accuracy 0.56 predictive_accuracy 0.54 predictive_accuracy 0.54 prior_entropy 0.9910046621528215 prior_entropy 0.9910046621528215 prior_entropy 0.9910046621528215 prior_entropy 0.9910046621528215 prior_entropy 0.9910046621528215 prior_entropy 0.9910046621528215 prior_entropy 0.9910046621528215 prior_entropy 0.9910046621528215 prior_entropy 0.9910046621528215 prior_entropy 0.9910046621528215 recall 0.56 [1,0] recall 0.56 [1,0] recall 0.56 [1,0] recall 0.56 [1,0] recall 0.56 [1,0] recall 0.56 [1,0] recall 0.56 [1,0] recall 0.56 [1,0] recall 0.54 [1,0] recall 0.54 [1,0] relative_absolute_error 0.9963310134313395 relative_absolute_error 0.9963310134313395 relative_absolute_error 0.9963310134313395 relative_absolute_error 0.9963310134313395 relative_absolute_error 0.9963310134313395 relative_absolute_error 0.9963310134313395 relative_absolute_error 0.9963310134313395 relative_absolute_error 0.9963310134313395 relative_absolute_error 0.997565021616918 relative_absolute_error 0.997565021616918 root_mean_prior_squared_error 0.49640490996518694 root_mean_prior_squared_error 0.49640490996518694 root_mean_prior_squared_error 0.49640490996518694 root_mean_prior_squared_error 0.49640490996518694 root_mean_prior_squared_error 0.49640490996518694 root_mean_prior_squared_error 0.49640490996518694 root_mean_prior_squared_error 0.49640490996518694 root_mean_prior_squared_error 0.49640490996518694 root_mean_prior_squared_error 0.49864707994207336 root_mean_prior_squared_error 0.49864707994207336 root_mean_squared_error 0.4965057229337138 root_mean_squared_error 0.4965057229337138 root_mean_squared_error 0.4965057229337138 root_mean_squared_error 0.4965057229337138 root_mean_squared_error 0.4965057229337138 root_mean_squared_error 0.4965057229337138 root_mean_squared_error 0.4965057229337138 root_mean_squared_error 0.4965057229337138 root_mean_squared_error 0.4993519005449138 root_mean_squared_error 0.4993519005449138 root_relative_squared_error 1.0002030861631364 root_relative_squared_error 1.0002030861631364 root_relative_squared_error 1.0002030861631364 root_relative_squared_error 1.0002030861631364 root_relative_squared_error 1.0002030861631364 root_relative_squared_error 1.0002030861631364 root_relative_squared_error 1.0002030861631364 root_relative_squared_error 1.0002030861631364 root_relative_squared_error 1.0014134658181941 root_relative_squared_error 1.0014134658181941 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 198.22073799878126 usercpu_time_millis 189.963598997565 usercpu_time_millis 187.5535180006409 usercpu_time_millis 175.37512000126299 usercpu_time_millis 176.11260300327558 usercpu_time_millis 176.1058129995945 usercpu_time_millis 177.75468899708358 usercpu_time_millis 178.664826995373 usercpu_time_millis 176.40184199990472 usercpu_time_millis 177.61723399962648 usercpu_time_millis_testing 3.102239999861922 usercpu_time_millis_testing 3.282443998614326 usercpu_time_millis_testing 3.133128000627039 usercpu_time_millis_testing 2.8270440016058274 usercpu_time_millis_testing 2.843943002517335 usercpu_time_millis_testing 3.026472000783542 usercpu_time_millis_testing 2.9011240003455896 usercpu_time_millis_testing 2.8279609978199005 usercpu_time_millis_testing 3.055344001040794 usercpu_time_millis_testing 2.859621999959927 usercpu_time_millis_training 195.11849799891934 usercpu_time_millis_training 186.68115499895066 usercpu_time_millis_training 184.42039000001387 usercpu_time_millis_training 172.54807599965716 usercpu_time_millis_training 173.26866000075825 usercpu_time_millis_training 173.07934099881095 usercpu_time_millis_training 174.853564996738 usercpu_time_millis_training 175.8368659975531 usercpu_time_millis_training 173.34649799886392 usercpu_time_millis_training 174.75761199966655