10226102 1 Jan van Rijn 125923 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) 8151534 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]}}, {"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 "mae" 9667 init null 9667 learning_rate 0.0037066245755973237 9667 loss "deviance" 9667 max_depth 8 9667 max_features 0.1254666410612647 9667 max_leaf_nodes null 9667 min_impurity_decrease 0.39523874566477046 9667 min_impurity_split null 9667 min_samples_leaf 20 9667 min_samples_split 9 9667 min_weight_fraction_leaf 0.0005893793759368382 9667 n_estimators 175 9667 n_iter_no_change 1663 9667 presort "auto" 9667 random_state 25186 9667 subsample 0.12310886672171628 9667 tol 5.53843754551925e-05 9667 validation_fraction 0.9711328251031754 9667 verbose 0 9667 warm_start false 9667 openml-python Sklearn_0.20.3. 40509 Australian https://www.openml.org/data/download/4599631/phpjP8PU3 -1 21373120 description https://api.openml.org/data/download/21373120/description.xml -1 21373121 predictions https://api.openml.org/data/download/21373121/predictions.arff area_under_roc_curve 0.5 [0.5,0.5] average_cost 0 kappa 0 kb_relative_information_score 19.689838336818735 mean_absolute_error 0.48204275315265566 mean_prior_absolute_error 0.49395157912373167 number_of_instances 690 [383,307] predictive_accuracy 0.5550724637681159 prior_entropy 0.9912816166382369 recall 0.5550724637681159 [1,0] relative_absolute_error 0.9758907016914447 root_mean_prior_squared_error 0.49695779405224244 root_mean_squared_error 0.5085493872888525 root_relative_squared_error 1.0233251060257875 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 1.8135377415490965 kb_relative_information_score 1.8135377415490965 kb_relative_information_score 1.8135377415490965 kb_relative_information_score 1.8135377415490965 kb_relative_information_score 1.8135377415490965 kb_relative_information_score 1.8135377415490965 kb_relative_information_score 1.8135377415490965 kb_relative_information_score 2.331691381991696 kb_relative_information_score 2.331691381991696 kb_relative_information_score 2.331691381991696 mean_absolute_error 0.4834604305353403 mean_absolute_error 0.4834604305353403 mean_absolute_error 0.4834604305353403 mean_absolute_error 0.4834604305353403 mean_absolute_error 0.4834604305353403 mean_absolute_error 0.4834604305353403 mean_absolute_error 0.4834604305353403 mean_absolute_error 0.4787348392597233 mean_absolute_error 0.4787348392597233 mean_absolute_error 0.4787348392597233 mean_prior_absolute_error 0.49442908603501656 mean_prior_absolute_error 0.49442908603501656 mean_prior_absolute_error 0.49442908603501656 mean_prior_absolute_error 0.49442908603501656 mean_prior_absolute_error 0.49442908603501656 mean_prior_absolute_error 0.49442908603501656 mean_prior_absolute_error 0.49442908603501656 mean_prior_absolute_error 0.4928373963307357 mean_prior_absolute_error 0.4928373963307357 mean_prior_absolute_error 0.4928373963307357 number_of_instances 69 [38,31] number_of_instances 69 [38,31] number_of_instances 69 [38,31] number_of_instances 69 [38,31] number_of_instances 69 [38,31] number_of_instances 69 [38,31] number_of_instances 69 [38,31] number_of_instances 69 [39,30] number_of_instances 69 [39,30] number_of_instances 69 [39,30] predictive_accuracy 0.5507246376811594 predictive_accuracy 0.5507246376811594 predictive_accuracy 0.5507246376811594 predictive_accuracy 0.5507246376811594 predictive_accuracy 0.5507246376811594 predictive_accuracy 0.5507246376811594 predictive_accuracy 0.5507246376811594 predictive_accuracy 0.5652173913043478 predictive_accuracy 0.5652173913043478 predictive_accuracy 0.5652173913043478 prior_entropy 0.9912816166382369 prior_entropy 0.9912816166382369 prior_entropy 0.9912816166382369 prior_entropy 0.9912816166382369 prior_entropy 0.9912816166382369 prior_entropy 0.9912816166382369 prior_entropy 0.9912816166382369 prior_entropy 0.9912816166382369 prior_entropy 0.9912816166382369 prior_entropy 0.9912816166382369 recall 0.5507246376811594 [1,0] recall 0.5507246376811594 [1,0] recall 0.5507246376811594 [1,0] recall 0.5507246376811594 [1,0] recall 0.5507246376811594 [1,0] recall 0.5507246376811594 [1,0] recall 0.5507246376811594 [1,0] recall 0.5652173913043478 [1,0] recall 0.5652173913043478 [1,0] recall 0.5652173913043478 [1,0] relative_absolute_error 0.977815513266751 relative_absolute_error 0.977815513266751 relative_absolute_error 0.977815513266751 relative_absolute_error 0.977815513266751 relative_absolute_error 0.977815513266751 relative_absolute_error 0.977815513266751 relative_absolute_error 0.977815513266751 relative_absolute_error 0.9713849696147077 relative_absolute_error 0.9713849696147077 relative_absolute_error 0.9713849696147077 root_mean_prior_squared_error 0.4974379920960552 root_mean_prior_squared_error 0.4974379920960552 root_mean_prior_squared_error 0.4974379920960552 root_mean_prior_squared_error 0.4974379920960552 root_mean_prior_squared_error 0.4974379920960552 root_mean_prior_squared_error 0.4974379920960552 root_mean_prior_squared_error 0.4974379920960552 root_mean_prior_squared_error 0.4958355234110141 root_mean_prior_squared_error 0.4958355234110141 root_mean_prior_squared_error 0.4958355234110141 root_mean_squared_error 0.5099413267176427 root_mean_squared_error 0.5099413267176427 root_mean_squared_error 0.5099413267176427 root_mean_squared_error 0.5099413267176427 root_mean_squared_error 0.5099413267176427 root_mean_squared_error 0.5099413267176427 root_mean_squared_error 0.5099413267176427 root_mean_squared_error 0.5052866170985856 root_mean_squared_error 0.5052866170985856 root_mean_squared_error 0.5052866170985856 root_relative_squared_error 1.0251354637568035 root_relative_squared_error 1.0251354637568035 root_relative_squared_error 1.0251354637568035 root_relative_squared_error 1.0251354637568035 root_relative_squared_error 1.0251354637568035 root_relative_squared_error 1.0251354637568035 root_relative_squared_error 1.0251354637568035 root_relative_squared_error 1.019060945094362 root_relative_squared_error 1.019060945094362 root_relative_squared_error 1.019060945094362 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 90.93344699795125 usercpu_time_millis 80.76892099779798 usercpu_time_millis 80.77845799562056 usercpu_time_millis 81.01677800004836 usercpu_time_millis 80.77149900054792 usercpu_time_millis 81.03367699368391 usercpu_time_millis 80.9523360003368 usercpu_time_millis 78.6447360078455 usercpu_time_millis 74.66542199836113 usercpu_time_millis 75.17105199804064 usercpu_time_millis_testing 0.7853569986764342 usercpu_time_millis_testing 0.7736999978078529 usercpu_time_millis_testing 0.7789699957356788 usercpu_time_millis_testing 0.775104999775067 usercpu_time_millis_testing 0.7920119969639927 usercpu_time_millis_testing 0.7902009965619072 usercpu_time_millis_testing 0.774685999203939 usercpu_time_millis_testing 0.7048410043353215 usercpu_time_millis_testing 0.7136999993235804 usercpu_time_millis_testing 0.713866000296548 usercpu_time_millis_training 90.14808999927482 usercpu_time_millis_training 79.99522099999012 usercpu_time_millis_training 79.99948799988488 usercpu_time_millis_training 80.2416730002733 usercpu_time_millis_training 79.97948700358393 usercpu_time_millis_training 80.243475997122 usercpu_time_millis_training 80.17765000113286 usercpu_time_millis_training 77.93989500351017 usercpu_time_millis_training 73.95172199903755 usercpu_time_millis_training 74.45718599774409