9918357 6892 Scikit-learn Bot 14 Supervised Classification 8834 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)(1) 7847731 memory null 8834 n_jobs null 8835 remainder "passthrough" 8835 sparse_threshold 0.3 8835 transformer_weights null 8835 memory null 8836 axis 0 8837 copy true 8837 missing_values "NaN" 8837 strategy "mean" 8837 verbose 0 8837 copy true 8838 with_mean true 8838 with_std true 8838 memory null 8839 copy true 8840 fill_value -1 8840 missing_values NaN 8840 strategy "constant" 8840 verbose 0 8840 categorical_features null 8841 categories null 8841 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 8841 handle_unknown "ignore" 8841 n_values null 8841 sparse true 8841 threshold 0.0 8842 criterion "friedman_mse" 8843 init null 8843 learning_rate 0.963978009362221 8843 loss "deviance" 8843 max_depth 4 8843 max_features 0.6817278645073247 8843 max_leaf_nodes null 8843 min_impurity_decrease 0.09469212454373921 8843 min_impurity_split null 8843 min_samples_leaf 16 8843 min_samples_split 10 8843 min_weight_fraction_leaf 0.42894572623027893 8843 n_estimators 420 8843 n_iter_no_change 944 8843 presort "auto" 8843 random_state 4006 8843 subsample 0.049440545975615646 8843 tol 1.9112322959357255e-05 8843 validation_fraction 0.8005906432592567 8843 verbose 0 8843 warm_start false 8843 openml-python Sklearn_0.20.1. 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 20757182 description https://api.openml.org/data/download/20757182/description.xml -1 20757183 predictions https://api.openml.org/data/download/20757183/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 117.6365169907869 mean_absolute_error 0.17999999999999405 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 [0,0,1,0,0,0,0,0,0,0] relative_absolute_error 0.9999999999999362 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.4242640687119215 root_relative_squared_error 1.4142135623730498 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 11.763651699078343 kb_relative_information_score 11.763651699078343 kb_relative_information_score 11.763651699078343 kb_relative_information_score 11.763651699078343 kb_relative_information_score 11.763651699078343 kb_relative_information_score 11.763651699078343 kb_relative_information_score 11.763651699078343 kb_relative_information_score 11.763651699078343 kb_relative_information_score 11.763651699078343 kb_relative_information_score 11.763651699078343 mean_absolute_error 0.17999999999999985 mean_absolute_error 0.17999999999999985 mean_absolute_error 0.17999999999999985 mean_absolute_error 0.17999999999999985 mean_absolute_error 0.17999999999999985 mean_absolute_error 0.17999999999999985 mean_absolute_error 0.17999999999999985 mean_absolute_error 0.17999999999999985 mean_absolute_error 0.17999999999999985 mean_absolute_error 0.17999999999999985 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 [0,0,1,0,0,0,0,0,0,0] recall 0.1 [0,0,1,0,0,0,0,0,0,0] recall 0.1 [0,0,1,0,0,0,0,0,0,0] recall 0.1 [0,0,1,0,0,0,0,0,0,0] recall 0.1 [0,0,1,0,0,0,0,0,0,0] recall 0.1 [0,0,1,0,0,0,0,0,0,0] recall 0.1 [0,0,1,0,0,0,0,0,0,0] recall 0.1 [0,0,1,0,0,0,0,0,0,0] recall 0.1 [0,0,1,0,0,0,0,0,0,0] recall 0.1 [0,0,1,0,0,0,0,0,0,0] relative_absolute_error 1.0000000000000002 relative_absolute_error 1.0000000000000002 relative_absolute_error 1.0000000000000002 relative_absolute_error 1.0000000000000002 relative_absolute_error 1.0000000000000002 relative_absolute_error 1.0000000000000002 relative_absolute_error 1.0000000000000002 relative_absolute_error 1.0000000000000002 relative_absolute_error 1.0000000000000002 relative_absolute_error 1.0000000000000002 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 0.42426406871192834 root_mean_squared_error 0.42426406871192834 root_mean_squared_error 0.42426406871192834 root_mean_squared_error 0.42426406871192834 root_mean_squared_error 0.42426406871192834 root_mean_squared_error 0.42426406871192834 root_mean_squared_error 0.42426406871192834 root_mean_squared_error 0.42426406871192834 root_mean_squared_error 0.42426406871192834 root_mean_squared_error 0.42426406871192834 root_relative_squared_error 1.4142135623730951 root_relative_squared_error 1.4142135623730951 root_relative_squared_error 1.4142135623730951 root_relative_squared_error 1.4142135623730951 root_relative_squared_error 1.4142135623730951 root_relative_squared_error 1.4142135623730951 root_relative_squared_error 1.4142135623730951 root_relative_squared_error 1.4142135623730951 root_relative_squared_error 1.4142135623730951 root_relative_squared_error 1.4142135623730951 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 3428.0286459979834 usercpu_time_millis 3416.223379987059 usercpu_time_millis 3415.0087849848205 usercpu_time_millis 3413.17007401085 usercpu_time_millis 3441.598042001715 usercpu_time_millis 3416.854452996631 usercpu_time_millis 3411.286710994318 usercpu_time_millis 3415.673430019524 usercpu_time_millis 3413.830829988001 usercpu_time_millis 3420.550438997452 usercpu_time_millis_testing 7.460121996700764 usercpu_time_millis_testing 6.386376000591554 usercpu_time_millis_testing 6.5861679904628545 usercpu_time_millis_testing 6.371472001774237 usercpu_time_millis_testing 6.759462994523346 usercpu_time_millis_testing 6.461184995714575 usercpu_time_millis_testing 7.001652993494645 usercpu_time_millis_testing 6.467056009569205 usercpu_time_millis_testing 6.807044992456213 usercpu_time_millis_testing 6.47902800119482 usercpu_time_millis_training 3420.5685240012826 usercpu_time_millis_training 3409.8370039864676 usercpu_time_millis_training 3408.4226169943577 usercpu_time_millis_training 3406.7986020090757 usercpu_time_millis_training 3434.8385790071916 usercpu_time_millis_training 3410.3932680009166 usercpu_time_millis_training 3404.2850580008235 usercpu_time_millis_training 3409.2063740099547 usercpu_time_millis_training 3407.0237849955447 usercpu_time_millis_training 3414.0714109962573