10157112 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) 8082647 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 1.777595136268677e-05 9667 loss "deviance" 9667 max_depth 2 9667 max_features 0.4752892627649301 9667 max_leaf_nodes null 9667 min_impurity_decrease 0.7520207672159798 9667 min_impurity_split null 9667 min_samples_leaf 8 9667 min_samples_split 11 9667 min_weight_fraction_leaf 0.17466959611412985 9667 n_estimators 120 9667 n_iter_no_change 1009 9667 presort "auto" 9667 random_state 58921 9667 subsample 0.8760840512384069 9667 tol 0.07531897965509653 9667 validation_fraction 0.12405940468929244 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 21234987 description https://api.openml.org/data/download/21234987/description.xml -1 21234988 predictions https://api.openml.org/data/download/21234988/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 1.5722457446656941 mean_absolute_error 0.17999999999999824 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 [0,0,0,0,1,0,0,0,0,0] relative_absolute_error 0.9999999999999595 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.30000035660990587 root_relative_squared_error 1.000001188699671 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 0.15722457446656996 kb_relative_information_score 0.15722457446656996 kb_relative_information_score 0.15722457446656996 kb_relative_information_score 0.15722457446656996 kb_relative_information_score 0.15722457446656996 kb_relative_information_score 0.15722457446656996 kb_relative_information_score 0.15722457446656996 kb_relative_information_score 0.15722457446656996 kb_relative_information_score 0.15722457446656996 kb_relative_information_score 0.15722457446656996 mean_absolute_error 0.1800000000000002 mean_absolute_error 0.1800000000000002 mean_absolute_error 0.1800000000000002 mean_absolute_error 0.1800000000000002 mean_absolute_error 0.1800000000000002 mean_absolute_error 0.1800000000000002 mean_absolute_error 0.1800000000000002 mean_absolute_error 0.1800000000000002 mean_absolute_error 0.1800000000000002 mean_absolute_error 0.1800000000000002 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 [0,0,0,0,1,0,0,0,0,0] recall 0.1 [0,0,0,0,1,0,0,0,0,0] recall 0.1 [0,0,0,0,1,0,0,0,0,0] recall 0.1 [0,0,0,0,1,0,0,0,0,0] recall 0.1 [0,0,0,0,1,0,0,0,0,0] recall 0.1 [0,0,0,0,1,0,0,0,0,0] recall 0.1 [0,0,0,0,1,0,0,0,0,0] recall 0.1 [0,0,0,0,1,0,0,0,0,0] recall 0.1 [0,0,0,0,1,0,0,0,0,0] recall 0.1 [0,0,0,0,1,0,0,0,0,0] relative_absolute_error 1.0000000000000022 relative_absolute_error 1.0000000000000022 relative_absolute_error 1.0000000000000022 relative_absolute_error 1.0000000000000022 relative_absolute_error 1.0000000000000022 relative_absolute_error 1.0000000000000022 relative_absolute_error 1.0000000000000022 relative_absolute_error 1.0000000000000022 relative_absolute_error 1.0000000000000022 relative_absolute_error 1.0000000000000022 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 0.30000035660990504 root_mean_squared_error 0.30000035660990504 root_mean_squared_error 0.30000035660990504 root_mean_squared_error 0.30000035660990504 root_mean_squared_error 0.30000035660990504 root_mean_squared_error 0.30000035660990504 root_mean_squared_error 0.30000035660990504 root_mean_squared_error 0.30000035660990504 root_mean_squared_error 0.30000035660990504 root_mean_squared_error 0.30000035660990504 root_relative_squared_error 1.0000011886996842 root_relative_squared_error 1.0000011886996842 root_relative_squared_error 1.0000011886996842 root_relative_squared_error 1.0000011886996842 root_relative_squared_error 1.0000011886996842 root_relative_squared_error 1.0000011886996842 root_relative_squared_error 1.0000011886996842 root_relative_squared_error 1.0000011886996842 root_relative_squared_error 1.0000011886996842 root_relative_squared_error 1.0000011886996842 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 11411.94773199959 usercpu_time_millis 10055.968365000354 usercpu_time_millis 8581.663727999967 usercpu_time_millis 12228.921527000239 usercpu_time_millis 9992.563408000024 usercpu_time_millis 8701.539968999896 usercpu_time_millis 10247.914849999688 usercpu_time_millis 10072.122795000269 usercpu_time_millis 9007.315571999698 usercpu_time_millis 10773.406510999848 usercpu_time_millis_testing 32.286717999795655 usercpu_time_millis_testing 10.331641999982821 usercpu_time_millis_testing 22.368068000105268 usercpu_time_millis_testing 6.660876000296412 usercpu_time_millis_testing 9.093458999814175 usercpu_time_millis_testing 6.177365999974427 usercpu_time_millis_testing 12.867743999777304 usercpu_time_millis_testing 7.356847000210109 usercpu_time_millis_testing 19.49663799996415 usercpu_time_millis_testing 13.426061999780359 usercpu_time_millis_training 11379.661013999794 usercpu_time_millis_training 10045.63672300037 usercpu_time_millis_training 8559.295659999862 usercpu_time_millis_training 12222.260650999942 usercpu_time_millis_training 9983.46994900021 usercpu_time_millis_training 8695.362602999921 usercpu_time_millis_training 10235.04710599991 usercpu_time_millis_training 10064.765948000058 usercpu_time_millis_training 8987.818933999733 usercpu_time_millis_training 10759.980449000068