10227090 1 Jan van Rijn 9986 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) 8152522 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, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127]}}, {"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 "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 "mae" 9667 init null 9667 learning_rate 0.0007137665956764391 9667 loss "deviance" 9667 max_depth 2 9667 max_features 0.42744554942923063 9667 max_leaf_nodes null 9667 min_impurity_decrease 0.699043730111652 9667 min_impurity_split null 9667 min_samples_leaf 11 9667 min_samples_split 11 9667 min_weight_fraction_leaf 0.11567826354799554 9667 n_estimators 566 9667 n_iter_no_change 1744 9667 presort "auto" 9667 random_state 60709 9667 subsample 0.5225241017354955 9667 tol 1.0027465233089489e-05 9667 validation_fraction 0.5195480233123896 9667 verbose 0 9667 warm_start false 9667 openml-python Sklearn_0.20.3. 1476 gas-drift https://www.openml.org/data/download/1588715/phpbL6t4U -1 21375096 description https://api.openml.org/data/download/21375096/description.xml -1 21375097 predictions https://api.openml.org/data/download/21375097/predictions.arff area_under_roc_curve 0.49976619916874493 [0.499522,0.499481,0.499689,0.50033,0.500191,0.49934] average_cost 0 kappa 0 kb_relative_information_score 334.62364337488464 mean_absolute_error 0.2765037226341193 mean_prior_absolute_error 0.27476832857057837 number_of_instances 13910 [2565,2926,1641,1936,3009,1833] predictive_accuracy 0.21631919482386772 prior_entropy 2.5457299651568843 recall 0.21631919482386772 [0,0,0,0,1,0] relative_absolute_error 1.0063158445974068 root_mean_prior_squared_error 0.37065282342196226 root_mean_squared_error 0.37133122125022744 root_relative_squared_error 1.001830278323532 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 33.451198618268315 kb_relative_information_score 33.451198618268315 kb_relative_information_score 33.451198618268315 kb_relative_information_score 33.389385275775254 kb_relative_information_score 33.45978601919781 kb_relative_information_score 33.45978601919781 kb_relative_information_score 33.45978601919781 kb_relative_information_score 33.45978601919781 kb_relative_information_score 33.45978601919781 kb_relative_information_score 33.58173214828619 mean_absolute_error 0.2765040799118129 mean_absolute_error 0.2765040799118129 mean_absolute_error 0.2765040799118129 mean_absolute_error 0.2764983756428016 mean_absolute_error 0.2765027016198604 mean_absolute_error 0.2765027016198604 mean_absolute_error 0.2765027016198604 mean_absolute_error 0.2765027016198604 mean_absolute_error 0.2765027016198604 mean_absolute_error 0.27651310286348807 mean_prior_absolute_error 0.27477202746106094 mean_prior_absolute_error 0.27477202746106094 mean_prior_absolute_error 0.27477202746106094 mean_prior_absolute_error 0.2747532058256237 mean_prior_absolute_error 0.27476403730658433 mean_prior_absolute_error 0.27476403730658433 mean_prior_absolute_error 0.27476403730658433 mean_prior_absolute_error 0.27476403730658433 mean_prior_absolute_error 0.27476403730658433 mean_prior_absolute_error 0.2747938109641058 number_of_instances 1391 [257,292,164,193,301,184] number_of_instances 1391 [257,292,164,193,301,184] number_of_instances 1391 [257,292,164,193,301,184] number_of_instances 1391 [257,293,164,193,301,183] number_of_instances 1391 [256,293,164,194,301,183] number_of_instances 1391 [256,293,164,194,301,183] number_of_instances 1391 [256,293,164,194,301,183] number_of_instances 1391 [256,293,164,194,301,183] number_of_instances 1391 [256,293,164,194,301,183] number_of_instances 1391 [257,292,165,194,300,183] predictive_accuracy 0.21639108554996406 predictive_accuracy 0.21639108554996406 predictive_accuracy 0.21639108554996406 predictive_accuracy 0.21639108554996406 predictive_accuracy 0.21639108554996406 predictive_accuracy 0.21639108554996406 predictive_accuracy 0.21639108554996406 predictive_accuracy 0.21639108554996406 predictive_accuracy 0.21639108554996406 predictive_accuracy 0.21567217828900073 prior_entropy 2.5457299651568843 prior_entropy 2.5457299651568843 prior_entropy 2.5457299651568843 prior_entropy 2.5457299651568843 prior_entropy 2.5457299651568843 prior_entropy 2.5457299651568843 prior_entropy 2.5457299651568843 prior_entropy 2.5457299651568843 prior_entropy 2.5457299651568843 prior_entropy 2.5457299651568843 recall 0.21639108554996406 [0,0,0,0,1,0] recall 0.21639108554996406 [0,0,0,0,1,0] recall 0.21639108554996406 [0,0,0,0,1,0] recall 0.21639108554996406 [0,0,0,0,1,0] recall 0.21639108554996406 [0,0,0,0,1,0] recall 0.21639108554996406 [0,0,0,0,1,0] recall 0.21639108554996406 [0,0,0,0,1,0] recall 0.21639108554996406 [0,0,0,0,1,0] recall 0.21639108554996406 [0,0,0,0,1,0] recall 0.21567217828900073 [0,0,0,0,1,0] relative_absolute_error 1.006303598174663 relative_absolute_error 1.006303598174663 relative_absolute_error 1.006303598174663 relative_absolute_error 1.0063517723548803 relative_absolute_error 1.00632784526796 relative_absolute_error 1.00632784526796 relative_absolute_error 1.00632784526796 relative_absolute_error 1.00632784526796 relative_absolute_error 1.00632784526796 relative_absolute_error 1.006256661652423 root_mean_prior_squared_error 0.3706578130852553 root_mean_prior_squared_error 0.3706578130852553 root_mean_prior_squared_error 0.3706578130852553 root_mean_prior_squared_error 0.37063242271245894 root_mean_prior_squared_error 0.37064703458501796 root_mean_prior_squared_error 0.37064703458501796 root_mean_prior_squared_error 0.37064703458501796 root_mean_prior_squared_error 0.37064703458501796 root_mean_prior_squared_error 0.37064703458501796 root_mean_prior_squared_error 0.37068719684417073 root_mean_squared_error 0.371332300964111 root_mean_squared_error 0.371332300964111 root_mean_squared_error 0.371332300964111 root_mean_squared_error 0.37132359538797083 root_mean_squared_error 0.3713294204192663 root_mean_squared_error 0.3713294204192663 root_mean_squared_error 0.3713294204192663 root_mean_squared_error 0.3713294204192663 root_mean_squared_error 0.3713294204192663 root_mean_squared_error 0.3713446117792738 root_relative_squared_error 1.0018197050083513 root_relative_squared_error 1.0018197050083513 root_relative_squared_error 1.0018197050083513 root_relative_squared_error 1.0018648467677316 root_relative_squared_error 1.0018410664879926 root_relative_squared_error 1.0018410664879926 root_relative_squared_error 1.0018410664879926 root_relative_squared_error 1.0018410664879926 root_relative_squared_error 1.0018410664879926 root_relative_squared_error 1.0017735032143 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 4236201.615812999 usercpu_time_millis 4214897.406513001 usercpu_time_millis 4181920.8842030005 usercpu_time_millis 4014445.6787340026 usercpu_time_millis 4014910.812469003 usercpu_time_millis 3832471.421377999 usercpu_time_millis 3740940.6999290003 usercpu_time_millis 3734011.344643997 usercpu_time_millis 3732978.985065001 usercpu_time_millis 3728666.578466 usercpu_time_millis_testing 16.81417199961288 usercpu_time_millis_testing 15.844372001083684 usercpu_time_millis_testing 16.019250000681495 usercpu_time_millis_testing 15.14654900165624 usercpu_time_millis_testing 15.879989001405193 usercpu_time_millis_testing 14.15136599825928 usercpu_time_millis_testing 14.561295000021346 usercpu_time_millis_testing 14.071043999138055 usercpu_time_millis_testing 14.718878002895508 usercpu_time_millis_testing 13.874609998310916 usercpu_time_millis_training 4236184.8016409995 usercpu_time_millis_training 4214881.562140999 usercpu_time_millis_training 4181904.8649529996 usercpu_time_millis_training 4014430.532185001 usercpu_time_millis_training 4014894.9324800014 usercpu_time_millis_training 3832457.2700120006 usercpu_time_millis_training 3740926.1386340004 usercpu_time_millis_training 3733997.273599998 usercpu_time_millis_training 3732964.266186998 usercpu_time_millis_training 3728652.7038560016