10161879 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) 8087341 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 "mae" 9667 init null 9667 learning_rate 0.0032264246757298977 9667 loss "deviance" 9667 max_depth 22 9667 max_features 0.5003169855053491 9667 max_leaf_nodes null 9667 min_impurity_decrease 0.24023196601019015 9667 min_impurity_split null 9667 min_samples_leaf 19 9667 min_samples_split 17 9667 min_weight_fraction_leaf 0.1468358979332025 9667 n_estimators 271 9667 n_iter_no_change 484 9667 presort "auto" 9667 random_state 58483 9667 subsample 0.9680669448621753 9667 tol 0.0038325073265338206 9667 validation_fraction 0.9419964919445661 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 21244674 description https://api.openml.org/data/download/21244674/description.xml -1 21244676 predictions https://api.openml.org/data/download/21244676/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 57.835572025984135 mean_absolute_error 0.17999999999999935 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 0.9999999999999656 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.3005486034334708 root_relative_squared_error 1.001828678111554 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 5.7835572025983675 kb_relative_information_score 5.7835572025983675 kb_relative_information_score 5.7835572025983675 kb_relative_information_score 5.7835572025983675 kb_relative_information_score 5.7835572025983675 kb_relative_information_score 5.7835572025983675 kb_relative_information_score 5.7835572025983675 kb_relative_information_score 5.7835572025983675 kb_relative_information_score 5.7835572025983675 kb_relative_information_score 5.7835572025983675 mean_absolute_error 0.1799999999999996 mean_absolute_error 0.1799999999999996 mean_absolute_error 0.1799999999999996 mean_absolute_error 0.1799999999999996 mean_absolute_error 0.1799999999999996 mean_absolute_error 0.1799999999999996 mean_absolute_error 0.1799999999999996 mean_absolute_error 0.1799999999999996 mean_absolute_error 0.1799999999999996 mean_absolute_error 0.1799999999999996 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 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 0.2999999999999998 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 0.3005486034334681 root_mean_squared_error 0.3005486034334681 root_mean_squared_error 0.3005486034334681 root_mean_squared_error 0.3005486034334681 root_mean_squared_error 0.3005486034334681 root_mean_squared_error 0.3005486034334681 root_mean_squared_error 0.3005486034334681 root_mean_squared_error 0.3005486034334681 root_mean_squared_error 0.3005486034334681 root_mean_squared_error 0.3005486034334681 root_relative_squared_error 1.001828678111561 root_relative_squared_error 1.001828678111561 root_relative_squared_error 1.001828678111561 root_relative_squared_error 1.001828678111561 root_relative_squared_error 1.001828678111561 root_relative_squared_error 1.001828678111561 root_relative_squared_error 1.001828678111561 root_relative_squared_error 1.001828678111561 root_relative_squared_error 1.001828678111561 root_relative_squared_error 1.001828678111561 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 4755.69851 usercpu_time_millis 4682.780189000001 usercpu_time_millis 4685.189236000003 usercpu_time_millis 4680.2594530000015 usercpu_time_millis 4858.824998000006 usercpu_time_millis 4727.192509000006 usercpu_time_millis 4704.216324999998 usercpu_time_millis 4695.394886000003 usercpu_time_millis 4689.544857000001 usercpu_time_millis 4701.686422999998 usercpu_time_millis_testing 4.913130000000265 usercpu_time_millis_testing 2.834197000002092 usercpu_time_millis_testing 4.476372000002726 usercpu_time_millis_testing 2.9069909999996923 usercpu_time_millis_testing 3.0262260000029073 usercpu_time_millis_testing 3.5037310000021193 usercpu_time_millis_testing 3.0460509999983287 usercpu_time_millis_testing 2.825923000003172 usercpu_time_millis_testing 3.0780559999996626 usercpu_time_millis_testing 3.6145249999961493 usercpu_time_millis_training 4750.78538 usercpu_time_millis_training 4679.945991999999 usercpu_time_millis_training 4680.712864 usercpu_time_millis_training 4677.352462000002 usercpu_time_millis_training 4855.798772000004 usercpu_time_millis_training 4723.688778000003 usercpu_time_millis_training 4701.170273999999 usercpu_time_millis_training 4692.568963 usercpu_time_millis_training 4686.466801000001 usercpu_time_millis_training 4698.071898000002