10218172 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) 8143604 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 "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 0.0009884875324615182 9667 loss "deviance" 9667 max_depth 27 9667 max_features 0.27740352493761133 9667 max_leaf_nodes null 9667 min_impurity_decrease 0.8492442982344801 9667 min_impurity_split null 9667 min_samples_leaf 1 9667 min_samples_split 15 9667 min_weight_fraction_leaf 0.32689576483120664 9667 n_estimators 66 9667 n_iter_no_change 111 9667 presort "auto" 9667 random_state 14853 9667 subsample 0.9437596991586408 9667 tol 0.0021825994066879844 9667 validation_fraction 0.7761145352174904 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 21357260 description https://api.openml.org/data/download/21357260/description.xml -1 21357261 predictions https://api.openml.org/data/download/21357261/predictions.arff area_under_roc_curve 0.5 [0.5,0.5] average_cost 0 kappa 0 kb_relative_information_score 8.93148773631529 mean_absolute_error 0.48654585658622 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 0.9854033663875456 root_mean_prior_squared_error 0.49685415342632255 root_mean_squared_error 0.5009752287770565 root_relative_squared_error 1.008294336119191 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 0.9569451146052101 kb_relative_information_score 0.9569451146052101 kb_relative_information_score 0.9569451146052101 kb_relative_information_score 0.9569451146052101 kb_relative_information_score 0.9569451146052101 kb_relative_information_score 0.9569451146052101 kb_relative_information_score 0.9569451146052101 kb_relative_information_score 0.9569451146052101 kb_relative_information_score 0.6379634097368069 kb_relative_information_score 0.6379634097368069 mean_absolute_error 0.4855848463423785 mean_absolute_error 0.4855848463423785 mean_absolute_error 0.4855848463423785 mean_absolute_error 0.4855848463423785 mean_absolute_error 0.4855848463423785 mean_absolute_error 0.4855848463423785 mean_absolute_error 0.4855848463423785 mean_absolute_error 0.4855848463423785 mean_absolute_error 0.49038989756158563 mean_absolute_error 0.49038989756158563 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 0.9843466033915108 relative_absolute_error 0.9843466033915108 relative_absolute_error 0.9843466033915108 relative_absolute_error 0.9843466033915108 relative_absolute_error 0.9843466033915108 relative_absolute_error 0.9843466033915108 relative_absolute_error 0.9843466033915108 relative_absolute_error 0.9843466033915108 relative_absolute_error 0.989611386782102 relative_absolute_error 0.989611386782102 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 0.5000151693742712 root_mean_squared_error 0.5000151693742712 root_mean_squared_error 0.5000151693742712 root_mean_squared_error 0.5000151693742712 root_mean_squared_error 0.5000151693742712 root_mean_squared_error 0.5000151693742712 root_mean_squared_error 0.5000151693742712 root_mean_squared_error 0.5000151693742712 root_mean_squared_error 0.5047972076226137 root_mean_squared_error 0.5047972076226137 root_relative_squared_error 1.0072728116434977 root_relative_squared_error 1.0072728116434977 root_relative_squared_error 1.0072728116434977 root_relative_squared_error 1.0072728116434977 root_relative_squared_error 1.0072728116434977 root_relative_squared_error 1.0072728116434977 root_relative_squared_error 1.0072728116434977 root_relative_squared_error 1.0072728116434977 root_relative_squared_error 1.0123336281870032 root_relative_squared_error 1.0123336281870032 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 65.26268699781212 usercpu_time_millis 60.58350499915832 usercpu_time_millis 60.2817299986782 usercpu_time_millis 60.41732899939234 usercpu_time_millis 60.225291999813635 usercpu_time_millis 60.15327199929743 usercpu_time_millis 60.668789001283585 usercpu_time_millis 59.02523300028406 usercpu_time_millis 55.21233599938569 usercpu_time_millis 55.13444499956677 usercpu_time_millis_testing 3.1098749986995244 usercpu_time_millis_testing 3.0851039991830476 usercpu_time_millis_testing 3.065966999201919 usercpu_time_millis_testing 3.0831770000077086 usercpu_time_millis_testing 3.0765550000069197 usercpu_time_millis_testing 3.068996000365587 usercpu_time_millis_testing 3.085751000980963 usercpu_time_millis_testing 2.8254560002096696 usercpu_time_millis_testing 2.831075000358396 usercpu_time_millis_testing 2.850460999979987 usercpu_time_millis_training 62.1528119991126 usercpu_time_millis_training 57.498400999975274 usercpu_time_millis_training 57.21576299947628 usercpu_time_millis_training 57.33415199938463 usercpu_time_millis_training 57.148736999806715 usercpu_time_millis_training 57.084275998931844 usercpu_time_millis_training 57.58303800030262 usercpu_time_millis_training 56.19977700007439 usercpu_time_millis_training 52.38126099902729 usercpu_time_millis_training 52.28398399958678