10227465 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) 8152897 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 "friedman_mse" 9667 init null 9667 learning_rate 1.088350495804861e-05 9667 loss "deviance" 9667 max_depth 32 9667 max_features 0.4699892041117433 9667 max_leaf_nodes null 9667 min_impurity_decrease 0.25859592821359 9667 min_impurity_split null 9667 min_samples_leaf 2 9667 min_samples_split 10 9667 min_weight_fraction_leaf 0.41023635113489143 9667 n_estimators 86 9667 n_iter_no_change 2046 9667 presort "auto" 9667 random_state 13222 9667 subsample 0.8119200065040525 9667 tol 0.0008326488606254127 9667 validation_fraction 0.06774341385971927 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 21375846 description https://api.openml.org/data/download/21375846/description.xml -1 21375847 predictions https://api.openml.org/data/download/21375847/predictions.arff area_under_roc_curve 0.6478870957288223 [0.647887,0.647887] average_cost 0 kappa 0 kb_relative_information_score 0.14002206148690433 mean_absolute_error 0.49364590972158634 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 0.999783133816272 root_mean_prior_squared_error 0.49685415342632255 root_mean_squared_error 0.49683630600427037 root_relative_squared_error 0.9999640791529484 total_cost 0 area_under_roc_curve 0.7386363636363638 [0.738636,0.738636] area_under_roc_curve 0.8230519480519481 [0.823052,0.823052] area_under_roc_curve 0.6063311688311689 [0.606331,0.606331] area_under_roc_curve 0.726461038961039 [0.726461,0.726461] area_under_roc_curve 0.7865259740259739 [0.786526,0.786526] area_under_roc_curve 0.788961038961039 [0.788961,0.788961] area_under_roc_curve 0.7402597402597402 [0.74026,0.74026] area_under_roc_curve 0.7475649350649349 [0.747565,0.747565] area_under_roc_curve 0.8542673107890499 [0.854267,0.854267] area_under_roc_curve 0.7061191626409018 [0.706119,0.706119] 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 0.009411417870545134 kb_relative_information_score 0.00942441406258534 kb_relative_information_score 0.007013522496502797 kb_relative_information_score 0.009025912311374108 kb_relative_information_score 0.009249815681201461 kb_relative_information_score 0.010435235759765859 kb_relative_information_score 0.008851255457858441 kb_relative_information_score 0.009881005606984914 kb_relative_information_score 0.03482687013866477 kb_relative_information_score 0.03190261210142149 mean_absolute_error 0.4932348833067132 mean_absolute_error 0.4932347843934432 mean_absolute_error 0.49325320138226075 mean_absolute_error 0.4932378278557149 mean_absolute_error 0.49323611731919464 mean_absolute_error 0.49322706167868424 mean_absolute_error 0.4932391618050107 mean_absolute_error 0.4932312950149305 mean_absolute_error 0.4952711644769488 mean_absolute_error 0.49529359998295946 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 0.9998542699885712 relative_absolute_error 0.9998540694779043 relative_absolute_error 0.9998914032219942 relative_absolute_error 0.9998602389903433 relative_absolute_error 0.9998567714999008 relative_absolute_error 0.9998384144835214 relative_absolute_error 0.9998629430872037 relative_absolute_error 0.9998469960325265 relative_absolute_error 0.9994618289412607 relative_absolute_error 0.9995071040016295 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 0.496365902999596 root_mean_squared_error 0.4963643572959461 root_mean_squared_error 0.4963877607672165 root_mean_squared_error 0.4963722509431575 root_mean_squared_error 0.49636948356548416 root_mean_squared_error 0.49636085642602656 root_mean_squared_error 0.4963721847987913 root_mean_squared_error 0.49636505871591136 root_mean_squared_error 0.49868753155214773 root_mean_squared_error 0.49870894191984266 root_relative_squared_error 0.9999214210721774 root_relative_squared_error 0.9999183072761233 root_relative_squared_error 0.9999654532063924 root_relative_squared_error 0.9999342089061293 root_relative_squared_error 0.9999286340666831 root_relative_squared_error 0.9999112548279117 root_relative_squared_error 0.9999340756593285 root_relative_squared_error 0.9999197202757757 root_relative_squared_error 1.000081122725273 root_relative_squared_error 1.0001240596410923 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 80.2857890012092 usercpu_time_millis 75.46805500169285 usercpu_time_millis 75.25914600410033 usercpu_time_millis 75.10287900367985 usercpu_time_millis 75.15833799698157 usercpu_time_millis 74.7850869956892 usercpu_time_millis 71.65853199694538 usercpu_time_millis 70.09298800403485 usercpu_time_millis 69.61325999873225 usercpu_time_millis 69.07279000006383 usercpu_time_millis_testing 2.963404003821779 usercpu_time_millis_testing 2.967216001707129 usercpu_time_millis_testing 2.956091004307382 usercpu_time_millis_testing 2.959208002721425 usercpu_time_millis_testing 2.9756389994872734 usercpu_time_millis_testing 2.9490719971363433 usercpu_time_millis_testing 2.7283249946776778 usercpu_time_millis_testing 2.7341910026734695 usercpu_time_millis_testing 2.7334740007063374 usercpu_time_millis_testing 2.7424319996498525 usercpu_time_millis_training 77.32238499738742 usercpu_time_millis_training 72.50083899998572 usercpu_time_millis_training 72.30305499979295 usercpu_time_millis_training 72.14367100095842 usercpu_time_millis_training 72.1826989974943 usercpu_time_millis_training 71.83601499855286 usercpu_time_millis_training 68.93020700226771 usercpu_time_millis_training 67.35879700136138 usercpu_time_millis_training 66.87978599802591 usercpu_time_millis_training 66.33035800041398