1852848 2514 Joost Visser 145677 Supervised Classification area_under_roc_curve 5819 sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler,votingclassifier=sklearn.ensemble.voting_classifier.VotingClassifier(voting=sklearn.ensemble.forest.RandomForestClassifier,weights=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier,n_jobs=aucbooster.AUCBooster))(1) 30607 bootstrap True 5500 class_weight None 5500 criterion entropy 5500 max_depth None 5500 max_features 0.1 5500 max_leaf_nodes None 5500 min_impurity_split 1e-07 5500 min_samples_leaf 2 5500 min_samples_split 2 5500 min_weight_fraction_leaf 0.0 5500 n_estimators 2048 5500 n_jobs -1 5500 oob_score False 5500 random_state None 5500 verbose 0 5500 warm_start False 5500 criterion friedman_mse 5626 init None 5626 learning_rate 0.01 5626 loss deviance 5626 max_depth 8 5626 max_features sqrt 5626 max_leaf_nodes None 5626 min_impurity_split 1e-07 5626 min_samples_leaf 2 5626 min_samples_split 2 5626 min_weight_fraction_leaf 0.0 5626 n_estimators 1024 5626 presort auto 5626 random_state None 5626 subsample 1.0 5626 verbose 0 5626 warm_start False 5626 copy True 5660 with_mean True 5660 with_std True 5660 steps [('standardscaler', StandardScaler(copy=True, with_mean=True, with_std=True)), ('votingclassifier', VotingClassifier(estimators=[('voting', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='entropy', max_depth=None, max_features=0.1, max_leaf_nodes=None, min_impurity_split=1e-07, min_samples_leaf=2, min_samples_split=2, min_weight_fraction_leaf=0.0, ...ogistic', reg_alpha=0, reg_lambda=1, scale_pos_weight=1, seed=0, silent=True, subsample=0.8))], n_jobs=-1, voting='soft', weights=[2, 4, 3]))] 5819 estimators [('voting', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='entropy', max_depth=None, max_features=0.1, max_leaf_nodes=None, min_impurity_split=1e-07, min_samples_leaf=2, min_samples_split=2, min_weight_fraction_leaf=0.0, n_estimators=2048, n_jobs=-1, oob_score=False, random_state=None, verbose=0, warm_start=False)), ('weights', GradientBoostingClassifier(criterion='friedman_mse', init=None, learning_rate=0.01, loss='deviance', max_depth=8, max_features='sqrt', max_leaf_nodes=None, min_impurity_split=1e-07, min_samples_leaf=2, min_samples_split=2, min_weight_fraction_leaf=0.0, n_estimators=1024, presort='auto', random_state=None, subsample=1.0, verbose=0, warm_start=False)), ('n_jobs', AUCBooster(base_score=0.5, colsample_bylevel=1, colsample_bytree=0.9, gamma=0, learning_rate=0.01, max_delta_step=0, max_depth=8, min_child_weight=2, mi 5820 n_jobs AUCBooster(base_score=0.5, colsample_bylevel=1, colsample_bytree=0.9, gamma=0, learning_rate=0.01, max_delta_step=0, max_depth=8, min_child_weight=2, missing=None, n_estimators=1024, nthread=1, objective='binary:logistic', reg_alpha=0, reg_lambda=1, scale_pos_weight=1, seed=0, silent=True, subsample=0.8) 5820 voting RandomForestClassifier(bootstrap=True, class_weight=None, criterion='entropy', max_depth=None, max_features=0.1, max_leaf_nodes=None, min_impurity_split=1e-07, min_samples_leaf=2, min_samples_split=2, min_weight_fraction_leaf=0.0, n_estimators=2048, n_jobs=-1, oob_score=False, random_state=None, verbose=0, warm_start=False) 5820 weights GradientBoostingClassifier(criterion='friedman_mse', init=None, learning_rate=0.01, loss='deviance', max_depth=8, max_features='sqrt', max_leaf_nodes=None, min_impurity_split=1e-07, min_samples_leaf=2, min_samples_split=2, min_weight_fraction_leaf=0.0, n_estimators=1024, presort='auto', random_state=None, subsample=1.0, verbose=0, warm_start=False) 5820 base_score 0.5 5821 colsample_bylevel 1 5821 colsample_bytree 0.9 5821 gamma 0 5821 learning_rate 0.01 5821 max_delta_step 0 5821 max_depth 8 5821 min_child_weight 2 5821 missing None 5821 n_estimators 1024 5821 nthread 1 5821 objective binary:logistic 5821 reg_alpha 0 5821 reg_lambda 1 5821 scale_pos_weight 1 5821 seed 0 5821 silent True 5821 subsample 0.8 5821 NumPy_1.12.0. Python_3.6.0. run_task SciPy_0.19.0. sklearn.pipeline.Pipeline Sklearn_0.18.1. Thu_Mar_16_23.05.39_2017 4134 Bioresponse https://www.openml.org/data/download/1681097/phpSSK7iA -1 4654723 description https://api.openml.org/data/download/4654723/description.xml -1 4654724 predictions https://api.openml.org/data/download/4654724/predictions.arff area_under_roc_curve 0.887189 [0.887189,0.887189] average_cost 0 f_measure 0.811144 [0.789771,0.829186] kappa 0.619095 kb_relative_information_score 1865.05603 mean_absolute_error 0.263711 mean_prior_absolute_error 0.496431 number_of_instances 3751 [1717,2034] precision 0.811358 [0.806804,0.815202] predictive_accuracy 0.811517 prior_entropy 0.994847 recall 0.811517 [0.773442,0.843658] relative_absolute_error 0.531214 root_mean_prior_squared_error 0.498211 root_mean_squared_error 0.366344 root_relative_squared_error 0.735319 total_cost 0 area_under_roc_curve 0.886941 [0.886941,0.886941] area_under_roc_curve 0.883979 [0.883979,0.883979] area_under_roc_curve 0.892743 [0.892743,0.892743] area_under_roc_curve 0.921612 [0.921612,0.921612] area_under_roc_curve 0.898213 [0.898213,0.898213] area_under_roc_curve 0.871348 [0.871348,0.871348] area_under_roc_curve 0.873554 [0.873554,0.873554] area_under_roc_curve 0.893992 [0.893992,0.893992] area_under_roc_curve 0.891985 [0.891985,0.891985] area_under_roc_curve 0.860595 [0.860595,0.860595] 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 f_measure 0.821767 [0.804665,0.836186] f_measure 0.810176 [0.78806,0.828916] f_measure 0.807286 [0.783133,0.827751] f_measure 0.845499 [0.834286,0.855] f_measure 0.807286 [0.783133,0.827751] f_measure 0.79713 [0.776471,0.814634] f_measure 0.791902 [0.77193,0.808824] f_measure 0.820053 [0.79257,0.843091] f_measure 0.834023 [0.812121,0.852381] f_measure 0.775623 [0.75,0.797101] kappa 0.640853 kappa 0.617198 kappa 0.611287 kappa 0.689366 kappa 0.611287 kappa 0.591152 kappa 0.580765 kappa 0.636612 kappa 0.66485 kappa 0.547219 kb_relative_information_score 189.808876 kb_relative_information_score 182.143986 kb_relative_information_score 185.986907 kb_relative_information_score 206.152802 kb_relative_information_score 187.340928 kb_relative_information_score 180.047968 kb_relative_information_score 181.11804 kb_relative_information_score 186.563988 kb_relative_information_score 193.984166 kb_relative_information_score 171.908369 mean_absolute_error 0.260138 mean_absolute_error 0.269954 mean_absolute_error 0.264325 mean_absolute_error 0.24058 mean_absolute_error 0.262465 mean_absolute_error 0.271362 mean_absolute_error 0.268918 mean_absolute_error 0.26473 mean_absolute_error 0.253978 mean_absolute_error 0.28067 mean_prior_absolute_error 0.496406 mean_prior_absolute_error 0.496509 mean_prior_absolute_error 0.496509 mean_prior_absolute_error 0.496509 mean_prior_absolute_error 0.496509 mean_prior_absolute_error 0.496509 mean_prior_absolute_error 0.496509 mean_prior_absolute_error 0.496284 mean_prior_absolute_error 0.496284 mean_prior_absolute_error 0.496284 number_of_instances 376 [172,204] number_of_instances 375 [172,203] number_of_instances 375 [172,203] number_of_instances 375 [172,203] number_of_instances 375 [172,203] number_of_instances 375 [172,203] number_of_instances 375 [172,203] number_of_instances 375 [171,204] number_of_instances 375 [171,204] number_of_instances 375 [171,204] precision 0.821736 [0.807018,0.834146] precision 0.810631 [0.809816,0.811321] precision 0.808251 [0.8125,0.804651] precision 0.846098 [0.820225,0.86802] precision 0.808251 [0.8125,0.804651] precision 0.797109 [0.785714,0.806763] precision 0.791848 [0.776471,0.804878] precision 0.823103 [0.842105,0.807175] precision 0.835117 [0.842767,0.828704] precision 0.775647 [0.763636,0.785714] predictive_accuracy 0.821809 predictive_accuracy 0.810667 predictive_accuracy 0.808 predictive_accuracy 0.845333 predictive_accuracy 0.808 predictive_accuracy 0.797333 predictive_accuracy 0.792 predictive_accuracy 0.821333 predictive_accuracy 0.834667 predictive_accuracy 0.776 prior_entropy 0.994847 prior_entropy 0.994847 prior_entropy 0.994847 prior_entropy 0.994847 prior_entropy 0.994847 prior_entropy 0.994847 prior_entropy 0.994847 prior_entropy 0.994847 prior_entropy 0.994847 prior_entropy 0.994847 recall 0.821809 [0.802326,0.838235] recall 0.810667 [0.767442,0.847291] recall 0.808 [0.755814,0.852217] recall 0.845333 [0.848837,0.842365] recall 0.808 [0.755814,0.852217] recall 0.797333 [0.767442,0.82266] recall 0.792 [0.767442,0.812808] recall 0.821333 [0.748538,0.882353] recall 0.834667 [0.783626,0.877451] recall 0.776 [0.736842,0.808824] relative_absolute_error 0.524043 relative_absolute_error 0.543704 relative_absolute_error 0.532367 relative_absolute_error 0.484542 relative_absolute_error 0.528622 relative_absolute_error 0.546541 relative_absolute_error 0.541618 relative_absolute_error 0.533426 relative_absolute_error 0.511761 relative_absolute_error 0.565543 root_mean_prior_squared_error 0.498186 root_mean_prior_squared_error 0.498289 root_mean_prior_squared_error 0.498289 root_mean_prior_squared_error 0.498289 root_mean_prior_squared_error 0.498289 root_mean_prior_squared_error 0.498289 root_mean_prior_squared_error 0.498289 root_mean_prior_squared_error 0.498063 root_mean_prior_squared_error 0.498063 root_mean_prior_squared_error 0.498063 root_mean_squared_error 0.367185 root_mean_squared_error 0.369303 root_mean_squared_error 0.364065 root_mean_squared_error 0.332747 root_mean_squared_error 0.358299 root_mean_squared_error 0.378098 root_mean_squared_error 0.37831 root_mean_squared_error 0.359853 root_mean_squared_error 0.362415 root_mean_squared_error 0.390273 root_relative_squared_error 0.737044 root_relative_squared_error 0.741142 root_relative_squared_error 0.730629 root_relative_squared_error 0.667779 root_relative_squared_error 0.719058 root_relative_squared_error 0.758792 root_relative_squared_error 0.759217 root_relative_squared_error 0.722505 root_relative_squared_error 0.727649 root_relative_squared_error 0.783581 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