9865559 6892 Scikit-learn Bot 9950 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) 7794961 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 "most_frequent" 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 1.7778737768989819 8843 loss "deviance" 8843 max_depth 8 8843 max_features 0.5236145634215105 8843 max_leaf_nodes null 8843 min_impurity_decrease 0.6924045216681618 8843 min_impurity_split null 8843 min_samples_leaf 4 8843 min_samples_split 3 8843 min_weight_fraction_leaf 0.35134406185508904 8843 n_estimators 296 8843 n_iter_no_change 324 8843 presort "auto" 8843 random_state 3555 8843 subsample 0.7809733154634747 8843 tol 0.000276432561075594 8843 validation_fraction 0.7261730350981747 8843 verbose 0 8843 warm_start false 8843 openml-python Sklearn_0.20.1. 1515 micro-mass https://www.openml.org/data/download/1593707/phpHyLSNF -1 20651564 description https://api.openml.org/data/download/20651564/description.xml -1 20651565 predictions https://api.openml.org/data/download/20651565/predictions.arff area_under_roc_curve 0.5017891716569427 [0.504607,0.476006,0.495961,0.503817,0.544114,0.503491,0.524453,0.481818,0.486168,0.538277,0.503817,0.495238,0.495161,0.511654,0.511769,0.496774,0.500196,0.511846,0.500181,0.470139] average_cost 0 kappa 0.0005471859920386027 kb_relative_information_score 13.73241431210526 mean_absolute_error 0.09579684763572768 mean_prior_absolute_error 0.09411546815780207 number_of_instances 571 [50,26,52,29,14,16,26,11,26,24,29,21,31,18,32,31,60,27,20,28] predictive_accuracy 0.04203152364273205 prior_entropy 4.207990400748034 recall 0.04203152364273205 [0.1,0,0,0,0,0.1875,0.115385,0.181818,0.192308,0.125,0,0,0.096774,0,0,0,0,0,0,0] relative_absolute_error 1.017865070544052 root_mean_prior_squared_error 0.21689344706805536 root_mean_squared_error 0.30951065835561736 root_relative_squared_error 1.4270171023585658 total_cost 0 area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5160256410256411 [0.682692,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5219298245614035 [0.75,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] 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 2.089858865268148 kb_relative_information_score 3.160457251064823 kb_relative_information_score 0.15078657707921164 kb_relative_information_score 0.13277634353894802 kb_relative_information_score 1.8468691655965541 kb_relative_information_score 2.0334679346728732 kb_relative_information_score 1.2615321214403856 kb_relative_information_score 2.0509052335061484 kb_relative_information_score 0.968459693765235 kb_relative_information_score 0.03730112617284489 mean_absolute_error 0.09482758620689649 mean_absolute_error 0.09122807017543855 mean_absolute_error 0.09824561403508765 mean_absolute_error 0.09824561403508765 mean_absolute_error 0.0947368421052631 mean_absolute_error 0.0947368421052631 mean_absolute_error 0.09649122807017538 mean_absolute_error 0.0947368421052631 mean_absolute_error 0.09649122807017538 mean_absolute_error 0.09824561403508765 mean_prior_absolute_error 0.09413618064064419 mean_prior_absolute_error 0.09410158221272306 mean_prior_absolute_error 0.09411048772523531 mean_prior_absolute_error 0.0940244011042836 mean_prior_absolute_error 0.09402736960845434 mean_prior_absolute_error 0.09412829875025978 mean_prior_absolute_error 0.09411345622940606 mean_prior_absolute_error 0.0942143853712115 mean_prior_absolute_error 0.09417282631282102 mean_prior_absolute_error 0.09412533024608905 number_of_instances 58 [5,3,5,2,2,1,2,1,2,3,3,2,4,2,4,3,6,3,2,3] number_of_instances 57 [5,3,5,3,1,1,2,1,3,3,3,2,3,2,3,3,6,3,2,3] number_of_instances 57 [5,3,5,3,1,1,2,1,3,2,3,3,3,2,3,3,6,3,2,3] number_of_instances 57 [5,3,6,3,1,2,2,1,3,2,3,2,3,1,3,3,6,3,2,3] number_of_instances 57 [5,3,6,3,1,2,3,1,3,2,3,2,3,1,3,3,6,2,2,3] number_of_instances 57 [5,3,5,3,1,2,3,1,3,2,3,2,3,2,3,3,6,2,2,3] number_of_instances 57 [5,2,5,3,1,2,3,1,3,2,3,2,3,2,3,4,6,2,2,3] number_of_instances 57 [5,2,5,3,2,2,3,2,2,2,2,2,3,2,3,3,6,3,2,3] number_of_instances 57 [5,2,5,3,2,2,3,1,2,3,3,2,3,2,3,3,6,3,2,2] number_of_instances 57 [5,2,5,3,2,1,3,1,2,3,3,2,3,2,4,3,6,3,2,2] predictive_accuracy 0.05172413793103448 predictive_accuracy 0.08771929824561404 predictive_accuracy 0.017543859649122806 predictive_accuracy 0.017543859649122806 predictive_accuracy 0.052631578947368425 predictive_accuracy 0.052631578947368425 predictive_accuracy 0.03508771929824561 predictive_accuracy 0.052631578947368425 predictive_accuracy 0.03508771929824561 predictive_accuracy 0.017543859649122806 prior_entropy 4.207990400748034 prior_entropy 4.207990400748034 prior_entropy 4.207990400748034 prior_entropy 4.207990400748034 prior_entropy 4.207990400748034 prior_entropy 4.207990400748034 prior_entropy 4.207990400748034 prior_entropy 4.207990400748034 prior_entropy 4.207990400748034 prior_entropy 4.207990400748034 recall 0.05172413793103448 [0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0] recall 0.08771929824561403 [1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.017543859649122806 [0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.017543859649122806 [0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.05263157894736842 [0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0] recall 0.05263157894736842 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0] recall 0.03508771929824561 [0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.05263157894736842 [0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.03508771929824561 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0] recall 0.017543859649122806 [0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] relative_absolute_error 1.00734473782075 relative_absolute_error 0.9694637223974751 relative_absolute_error 1.0439390593950086 relative_absolute_error 1.0448948664519784 relative_absolute_error 1.0075453827940004 relative_absolute_error 1.0064650414708747 relative_absolute_error 1.025264950794851 relative_absolute_error 1.0055454029869544 relative_absolute_error 1.0246185852981957 relative_absolute_error 1.0437744417812527 root_mean_prior_squared_error 0.21694118987390487 root_mean_prior_squared_error 0.21686143372205327 root_mean_prior_squared_error 0.21688196547545568 root_mean_prior_squared_error 0.21668341036531857 root_mean_prior_squared_error 0.2166902601219441 root_mean_prior_squared_error 0.21692302315227222 root_mean_prior_squared_error 0.21688880896133736 root_mean_prior_squared_error 0.21712135913924485 root_mean_prior_squared_error 0.21702563336178166 root_mean_prior_squared_error 0.21691618074581365 root_mean_squared_error 0.30794088102571976 root_mean_squared_error 0.30203984865483985 root_mean_squared_error 0.3134415639877514 root_mean_squared_error 0.3134415639877514 root_mean_squared_error 0.30779350562554614 root_mean_squared_error 0.30779350562554614 root_mean_squared_error 0.3106303720986977 root_mean_squared_error 0.30779350562554614 root_mean_squared_error 0.3106303720986977 root_mean_squared_error 0.3134415639877514 root_relative_squared_error 1.419467097072288 root_relative_squared_error 1.392778067869633 root_relative_squared_error 1.4452172789038251 root_relative_squared_error 1.4465415855293347 root_relative_squared_error 1.4204307357992603 root_relative_squared_error 1.4189065833251187 root_relative_squared_error 1.432210235218133 root_relative_squared_error 1.417610440749642 root_relative_squared_error 1.4313072943824887 root_relative_squared_error 1.4449893175790698 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 7008.121843999999 usercpu_time_millis 7079.726247999998 usercpu_time_millis 6993.457970000002 usercpu_time_millis 6911.771906999999 usercpu_time_millis 6940.024678999994 usercpu_time_millis 6922.115831000006 usercpu_time_millis 6902.278162000001 usercpu_time_millis 6926.533839999997 usercpu_time_millis 11688.535409000002 usercpu_time_millis 7022.807066999988 usercpu_time_millis_testing 10.638190999999964 usercpu_time_millis_testing 11.092268999998822 usercpu_time_millis_testing 12.869627000000605 usercpu_time_millis_testing 10.808409999999213 usercpu_time_millis_testing 11.692896999996094 usercpu_time_millis_testing 11.340182000004972 usercpu_time_millis_testing 10.773437000004549 usercpu_time_millis_testing 10.228499000000113 usercpu_time_millis_testing 14.212975999996047 usercpu_time_millis_testing 10.052008999991813 usercpu_time_millis_training 6997.483652999999 usercpu_time_millis_training 7068.633978999999 usercpu_time_millis_training 6980.588343000001 usercpu_time_millis_training 6900.963497 usercpu_time_millis_training 6928.3317819999975 usercpu_time_millis_training 6910.775649000001 usercpu_time_millis_training 6891.504724999997 usercpu_time_millis_training 6916.3053409999975 usercpu_time_millis_training 11674.322433000007 usercpu_time_millis_training 7012.755057999996