10220752 1 Jan van Rijn 3512 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) 8146184 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]}}, {"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 "mse" 9667 init null 9667 learning_rate 8.91597441547284e-05 9667 loss "deviance" 9667 max_depth 31 9667 max_features 0.20521609691760145 9667 max_leaf_nodes null 9667 min_impurity_decrease 0.17917985850071838 9667 min_impurity_split null 9667 min_samples_leaf 16 9667 min_samples_split 18 9667 min_weight_fraction_leaf 0.3327181544369368 9667 n_estimators 636 9667 n_iter_no_change 562 9667 presort "auto" 9667 random_state 58759 9667 subsample 0.9463002809850176 9667 tol 0.012923475622773632 9667 validation_fraction 0.3157393249248234 9667 verbose 0 9667 warm_start false 9667 openml-python Sklearn_0.20.3. 377 synthetic_control https://www.openml.org/data/download/52417/synthetic_control.arff -1 21362420 description https://api.openml.org/data/download/21362420/description.xml -1 21362421 predictions https://api.openml.org/data/download/21362421/predictions.arff area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5] average_cost 0 kappa 0 kb_relative_information_score 1.3390277154871932 mean_absolute_error 0.2777777777777778 mean_prior_absolute_error 0.2777777777777742 number_of_instances 600 [100,100,100,100,100,100] predictive_accuracy 0.16666666666666669 prior_entropy 2.584962500721156 recall 0.16666666666666666 [0,0,0,0,1,0] relative_absolute_error 1.0000000000000129 root_mean_prior_squared_error 0.37267799624996256 root_mean_squared_error 0.37268344140755766 root_relative_squared_error 1.000014610891037 total_cost 0 area_under_roc_curve 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] area_under_roc_curve 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] area_under_roc_curve 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] area_under_roc_curve 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] area_under_roc_curve 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] 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 0.13390277154871902 kb_relative_information_score 0.13390277154871902 kb_relative_information_score 0.13390277154871902 kb_relative_information_score 0.13390277154871902 kb_relative_information_score 0.13390277154871902 kb_relative_information_score 0.13390277154871902 kb_relative_information_score 0.13390277154871902 kb_relative_information_score 0.13390277154871902 kb_relative_information_score 0.13390277154871902 kb_relative_information_score 0.13390277154871902 mean_absolute_error 0.2777777777777779 mean_absolute_error 0.2777777777777779 mean_absolute_error 0.2777777777777779 mean_absolute_error 0.2777777777777779 mean_absolute_error 0.2777777777777779 mean_absolute_error 0.2777777777777779 mean_absolute_error 0.2777777777777779 mean_absolute_error 0.2777777777777779 mean_absolute_error 0.2777777777777779 mean_absolute_error 0.2777777777777779 mean_prior_absolute_error 0.2777777777777782 mean_prior_absolute_error 0.2777777777777782 mean_prior_absolute_error 0.2777777777777782 mean_prior_absolute_error 0.2777777777777782 mean_prior_absolute_error 0.2777777777777782 mean_prior_absolute_error 0.2777777777777782 mean_prior_absolute_error 0.2777777777777782 mean_prior_absolute_error 0.2777777777777782 mean_prior_absolute_error 0.2777777777777782 mean_prior_absolute_error 0.2777777777777782 number_of_instances 60 [10,10,10,10,10,10] number_of_instances 60 [10,10,10,10,10,10] number_of_instances 60 [10,10,10,10,10,10] number_of_instances 60 [10,10,10,10,10,10] number_of_instances 60 [10,10,10,10,10,10] number_of_instances 60 [10,10,10,10,10,10] number_of_instances 60 [10,10,10,10,10,10] number_of_instances 60 [10,10,10,10,10,10] number_of_instances 60 [10,10,10,10,10,10] number_of_instances 60 [10,10,10,10,10,10] predictive_accuracy 0.16666666666666669 predictive_accuracy 0.16666666666666669 predictive_accuracy 0.16666666666666669 predictive_accuracy 0.16666666666666669 predictive_accuracy 0.16666666666666669 predictive_accuracy 0.16666666666666669 predictive_accuracy 0.16666666666666669 predictive_accuracy 0.16666666666666669 predictive_accuracy 0.16666666666666669 predictive_accuracy 0.16666666666666669 prior_entropy 2.584962500721156 prior_entropy 2.584962500721156 prior_entropy 2.584962500721156 prior_entropy 2.584962500721156 prior_entropy 2.584962500721156 prior_entropy 2.584962500721156 prior_entropy 2.584962500721156 prior_entropy 2.584962500721156 prior_entropy 2.584962500721156 prior_entropy 2.584962500721156 recall 0.16666666666666666 [0,0,0,0,1,0] recall 0.16666666666666666 [0,0,0,0,1,0] recall 0.16666666666666666 [0,0,0,0,1,0] recall 0.16666666666666666 [0,0,0,0,1,0] recall 0.16666666666666666 [0,0,0,0,1,0] recall 0.16666666666666666 [0,0,0,0,1,0] recall 0.16666666666666666 [0,0,0,0,1,0] recall 0.16666666666666666 [0,0,0,0,1,0] recall 0.16666666666666666 [0,0,0,0,1,0] recall 0.16666666666666666 [0,0,0,0,1,0] relative_absolute_error 0.999999999999999 relative_absolute_error 0.999999999999999 relative_absolute_error 0.999999999999999 relative_absolute_error 0.999999999999999 relative_absolute_error 0.999999999999999 relative_absolute_error 0.999999999999999 relative_absolute_error 0.999999999999999 relative_absolute_error 0.999999999999999 relative_absolute_error 0.999999999999999 relative_absolute_error 0.999999999999999 root_mean_prior_squared_error 0.3726779962499652 root_mean_prior_squared_error 0.3726779962499652 root_mean_prior_squared_error 0.3726779962499652 root_mean_prior_squared_error 0.3726779962499652 root_mean_prior_squared_error 0.3726779962499652 root_mean_prior_squared_error 0.3726779962499652 root_mean_prior_squared_error 0.3726779962499652 root_mean_prior_squared_error 0.3726779962499652 root_mean_prior_squared_error 0.3726779962499652 root_mean_prior_squared_error 0.3726779962499652 root_mean_squared_error 0.3726834414075582 root_mean_squared_error 0.3726834414075582 root_mean_squared_error 0.3726834414075582 root_mean_squared_error 0.3726834414075582 root_mean_squared_error 0.3726834414075582 root_mean_squared_error 0.3726834414075582 root_mean_squared_error 0.3726834414075582 root_mean_squared_error 0.3726834414075582 root_mean_squared_error 0.3726834414075582 root_mean_squared_error 0.3726834414075582 root_relative_squared_error 1.0000146108910313 root_relative_squared_error 1.0000146108910313 root_relative_squared_error 1.0000146108910313 root_relative_squared_error 1.0000146108910313 root_relative_squared_error 1.0000146108910313 root_relative_squared_error 1.0000146108910313 root_relative_squared_error 1.0000146108910313 root_relative_squared_error 1.0000146108910313 root_relative_squared_error 1.0000146108910313 root_relative_squared_error 1.0000146108910313 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 2248.9767049955844 usercpu_time_millis 2203.1561069961754 usercpu_time_millis 2189.8919669984025 usercpu_time_millis 2197.366256998066 usercpu_time_millis 2220.284928996989 usercpu_time_millis 2197.5076490016363 usercpu_time_millis 2190.669595001964 usercpu_time_millis 2193.4749810025096 usercpu_time_millis 2193.118355997285 usercpu_time_millis 2193.6585870025738 usercpu_time_millis_testing 2.265670998895075 usercpu_time_millis_testing 2.1639399965351913 usercpu_time_millis_testing 2.241623998997966 usercpu_time_millis_testing 2.0239080004103016 usercpu_time_millis_testing 2.275359998748172 usercpu_time_millis_testing 2.030022002145415 usercpu_time_millis_testing 2.255829000205267 usercpu_time_millis_testing 2.085200001602061 usercpu_time_millis_testing 2.2887649975018576 usercpu_time_millis_testing 2.0946870026818942 usercpu_time_millis_training 2246.7110339966894 usercpu_time_millis_training 2200.99216699964 usercpu_time_millis_training 2187.6503429994045 usercpu_time_millis_training 2195.342348997656 usercpu_time_millis_training 2218.009568998241 usercpu_time_millis_training 2195.477626999491 usercpu_time_millis_training 2188.4137660017586 usercpu_time_millis_training 2191.3897810009075 usercpu_time_millis_training 2190.8295909997832 usercpu_time_millis_training 2191.563899999892