10226325 1 Jan van Rijn 9985 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) 8151757 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]}}, {"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 "mse" 9667 init null 9667 learning_rate 0.0008047583487351094 9667 loss "deviance" 9667 max_depth 6 9667 max_features 0.7050225502044629 9667 max_leaf_nodes null 9667 min_impurity_decrease 0.31286338210273135 9667 min_impurity_split null 9667 min_samples_leaf 8 9667 min_samples_split 4 9667 min_weight_fraction_leaf 0.14116879817645817 9667 n_estimators 94 9667 n_iter_no_change 1823 9667 presort "auto" 9667 random_state 44474 9667 subsample 0.7795169875496862 9667 tol 1.0708674357279863e-05 9667 validation_fraction 0.41216162294502234 9667 verbose 0 9667 warm_start false 9667 openml-python Sklearn_0.20.3. 1475 first-order-theorem-proving https://www.openml.org/data/download/1587932/phpPbCMyg -1 21373566 description https://api.openml.org/data/download/21373566/description.xml -1 21373567 predictions https://api.openml.org/data/download/21373567/predictions.arff area_under_roc_curve 0.49979578585676687 [0.499338,0.499858,0.499699,0.498974,0.498896,0.500426] average_cost 0 kappa 0 kb_relative_information_score 151.98232719741017 mean_absolute_error 0.27155868231691205 mean_prior_absolute_error 0.2507645736611627 number_of_instances 6118 [1089,486,748,617,624,2554] predictive_accuracy 0.41745668519123896 prior_entropy 2.3005357949491803 recall 0.41745668519123896 [0,0,0,0,0,1] relative_absolute_error 1.0829228321694542 root_mean_prior_squared_error 0.35407492669342416 root_mean_squared_error 0.36522002091810973 root_relative_squared_error 1.0314766547543073 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 14.978051547212855 kb_relative_information_score 15.309196364976295 kb_relative_information_score 15.692135130309913 kb_relative_information_score 15.443827467610529 kb_relative_information_score 15.443827467610529 kb_relative_information_score 15.443827467610529 kb_relative_information_score 15.443827467610529 kb_relative_information_score 15.012920516037786 kb_relative_information_score 14.555726438713384 kb_relative_information_score 14.658987329713984 mean_absolute_error 0.2715610843573309 mean_absolute_error 0.2715894240330238 mean_absolute_error 0.2715988495249443 mean_absolute_error 0.2715921684833215 mean_absolute_error 0.2715921684833215 mean_absolute_error 0.2715921684833215 mean_absolute_error 0.2715921684833215 mean_absolute_error 0.2715520137946146 mean_absolute_error 0.27145754977123293 mean_absolute_error 0.2714588994616629 mean_prior_absolute_error 0.25067495791407446 mean_prior_absolute_error 0.25083558171073006 mean_prior_absolute_error 0.25088921191526126 mean_prior_absolute_error 0.25084785528987646 mean_prior_absolute_error 0.25084785528987646 mean_prior_absolute_error 0.25084785528987646 mean_prior_absolute_error 0.25084785528987646 mean_prior_absolute_error 0.25067558048692967 mean_prior_absolute_error 0.25058368192114683 mean_prior_absolute_error 0.25059472840439195 number_of_instances 612 [109,48,74,62,63,256] number_of_instances 612 [109,48,75,62,63,255] number_of_instances 612 [108,49,75,62,63,255] number_of_instances 612 [109,49,75,62,62,255] number_of_instances 612 [109,49,75,62,62,255] number_of_instances 612 [109,49,75,62,62,255] number_of_instances 612 [109,49,75,62,62,255] number_of_instances 612 [109,49,75,61,62,256] number_of_instances 611 [109,48,75,61,62,256] number_of_instances 611 [109,48,74,61,63,256] predictive_accuracy 0.41830065359477125 predictive_accuracy 0.41666666666666663 predictive_accuracy 0.41666666666666663 predictive_accuracy 0.41666666666666663 predictive_accuracy 0.41666666666666663 predictive_accuracy 0.41666666666666663 predictive_accuracy 0.41666666666666663 predictive_accuracy 0.41830065359477125 predictive_accuracy 0.41898527004909986 predictive_accuracy 0.41898527004909986 prior_entropy 2.3005357949491803 prior_entropy 2.3005357949491803 prior_entropy 2.3005357949491803 prior_entropy 2.3005357949491803 prior_entropy 2.3005357949491803 prior_entropy 2.3005357949491803 prior_entropy 2.3005357949491803 prior_entropy 2.3005357949491803 prior_entropy 2.3005357949491803 prior_entropy 2.3005357949491803 recall 0.41830065359477125 [0,0,0,0,0,1] recall 0.4166666666666667 [0,0,0,0,0,1] recall 0.4166666666666667 [0,0,0,0,0,1] recall 0.4166666666666667 [0,0,0,0,0,1] recall 0.4166666666666667 [0,0,0,0,0,1] recall 0.4166666666666667 [0,0,0,0,0,1] recall 0.4166666666666667 [0,0,0,0,0,1] recall 0.41830065359477125 [0,0,0,0,0,1] recall 0.41898527004909986 [0,0,0,0,0,1] recall 0.41898527004909986 [0,0,0,0,0,1] relative_absolute_error 1.0833195569954608 relative_absolute_error 1.0827388290797897 relative_absolute_error 1.0825449506241736 relative_absolute_error 1.0826967931197704 relative_absolute_error 1.0826967931197704 relative_absolute_error 1.0826967931197704 relative_absolute_error 1.0826967931197704 relative_absolute_error 1.083280682015907 relative_absolute_error 1.0833009862815195 relative_absolute_error 1.0832586191661695 root_mean_prior_squared_error 0.35394835494159665 root_mean_prior_squared_error 0.3541751851309153 root_mean_prior_squared_error 0.3542508884492025 root_mean_prior_squared_error 0.3541925116962025 root_mean_prior_squared_error 0.3541925116962025 root_mean_prior_squared_error 0.3541925116962025 root_mean_prior_squared_error 0.3541925116962025 root_mean_prior_squared_error 0.3539492344090008 root_mean_prior_squared_error 0.3538193917423618 root_mean_prior_squared_error 0.35383500173976573 root_mean_squared_error 0.36521621631014306 root_mean_squared_error 0.36525755054479564 root_mean_squared_error 0.3652710787341873 root_mean_squared_error 0.36526148149416793 root_mean_squared_error 0.36526148149416793 root_mean_squared_error 0.36526148149416793 root_mean_squared_error 0.36526148149416793 root_mean_squared_error 0.36520651031246343 root_mean_squared_error 0.3651002719894395 root_mean_squared_error 0.36510221340006627 root_relative_squared_error 1.0318347612334733 root_relative_squared_error 1.031290632091528 root_relative_squared_error 1.0311084337239849 root_relative_squared_error 1.0312512812452101 root_relative_squared_error 1.0312512812452101 root_relative_squared_error 1.0312512812452101 root_relative_squared_error 1.0312512812452101 root_relative_squared_error 1.0318047754002329 root_relative_squared_error 1.0318831599125353 root_relative_squared_error 1.0318431235036132 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 1849.689684000623 usercpu_time_millis 1746.4141769960406 usercpu_time_millis 1744.2294040083652 usercpu_time_millis 1739.306621006108 usercpu_time_millis 1789.6913579970715 usercpu_time_millis 1755.5753579945303 usercpu_time_millis 1791.228054993553 usercpu_time_millis 1740.555916003359 usercpu_time_millis 1791.839085999527 usercpu_time_millis 1777.6851390008233 usercpu_time_millis_testing 2.5344649984617718 usercpu_time_millis_testing 3.0564289991161786 usercpu_time_millis_testing 2.5990100039052777 usercpu_time_millis_testing 2.5165450060740113 usercpu_time_millis_testing 2.597727994725574 usercpu_time_millis_testing 2.523397000913974 usercpu_time_millis_testing 2.565585993579589 usercpu_time_millis_testing 2.524846000596881 usercpu_time_millis_testing 2.573468998889439 usercpu_time_millis_testing 2.5320689965155907 usercpu_time_millis_training 1847.1552190021612 usercpu_time_millis_training 1743.3577479969244 usercpu_time_millis_training 1741.63039400446 usercpu_time_millis_training 1736.7900760000339 usercpu_time_millis_training 1787.093630002346 usercpu_time_millis_training 1753.0519609936164 usercpu_time_millis_training 1788.6624689999735 usercpu_time_millis_training 1738.0310700027621 usercpu_time_millis_training 1789.2656170006376 usercpu_time_millis_training 1775.1530700043077