1852402 2514 Joost Visser 145677 Supervised Classification area_under_roc_curve 5756 sklearn.ensemble.voting_classifier.VotingClassifier(estimators=sklearn.ensemble.forest.ExtraTreesClassifier,voting=sklearn.ensemble.forest.RandomForestClassifier)(1) 30250 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 32 5500 n_jobs 1 5500 oob_score False 5500 random_state None 5500 verbose 0 5500 warm_start False 5500 bootstrap True 5604 class_weight None 5604 criterion entropy 5604 max_depth None 5604 max_features sqrt 5604 max_leaf_nodes None 5604 min_impurity_split 1e-07 5604 min_samples_leaf 2 5604 min_samples_split 2 5604 min_weight_fraction_leaf 0.0 5604 n_estimators 32 5604 n_jobs 1 5604 oob_score False 5604 random_state None 5604 verbose 0 5604 warm_start False 5604 estimators ExtraTreesClassifier(bootstrap=True, class_weight=None, criterion='entropy', max_depth=None, 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=32, n_jobs=1, oob_score=False, random_state=None, verbose=0, warm_start=False) 5756 n_jobs -1 5756 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=32, n_jobs=1, oob_score=False, random_state=None, verbose=0, warm_start=False) 5756 weights None 5756 Mon_Mar_13_13.49.27_2017 NumPy_1.12.0. Python_3.6.0. run_task SciPy_0.19.0. sklearn.ensemble.voting_classifier.VotingClassifier Sklearn_0.18.1. 4134 Bioresponse https://www.openml.org/data/download/1681097/phpSSK7iA -1 4653818 description https://api.openml.org/data/download/4653818/description.xml -1 4653819 predictions https://api.openml.org/data/download/4653819/predictions.arff area_under_roc_curve 0.877948 [0.877948,0.877948] average_cost 0 f_measure 0.803664 [0.781445,0.822421] kappa 0.604009 kb_relative_information_score 1535.999071 mean_absolute_error 0.311022 mean_prior_absolute_error 0.496431 number_of_instances 3751 [1717,2034] precision 0.803858 [0.798299,0.808551] predictive_accuracy 0.804052 prior_entropy 0.994847 recall 0.804052 [0.765288,0.836775] relative_absolute_error 0.626516 root_mean_prior_squared_error 0.498211 root_mean_squared_error 0.378515 root_relative_squared_error 0.759748 total_cost 0 area_under_roc_curve 0.874544 [0.874544,0.874544] area_under_roc_curve 0.868341 [0.868341,0.868341] area_under_roc_curve 0.8868 [0.8868,0.8868] area_under_roc_curve 0.910299 [0.910299,0.910299] area_under_roc_curve 0.891411 [0.891411,0.891411] area_under_roc_curve 0.867267 [0.867267,0.867267] area_under_roc_curve 0.864919 [0.864919,0.864919] area_under_roc_curve 0.877078 [0.877078,0.877078] area_under_roc_curve 0.888832 [0.888832,0.888832] area_under_roc_curve 0.852583 [0.852583,0.852583] 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 0.800143 [0.777448,0.819277] f_measure 0.780145 [0.75,0.805687] f_measure 0.793644 [0.765957,0.817102] f_measure 0.842761 [0.829971,0.853598] f_measure 0.791791 [0.770588,0.809756] f_measure 0.805191 [0.785924,0.821516] f_measure 0.796879 [0.77381,0.816425] f_measure 0.810006 [0.785498,0.830549] f_measure 0.831414 [0.809668,0.849642] f_measure 0.78405 [0.763848,0.800983] kappa 0.596866 kappa 0.556507 kappa 0.583736 kappa 0.68359 kappa 0.580392 kappa 0.607465 kappa 0.590423 kappa 0.616382 kappa 0.659607 kappa 0.564834 kb_relative_information_score 155.069596 kb_relative_information_score 146.3813 kb_relative_information_score 154.413123 kb_relative_information_score 170.823969 kb_relative_information_score 155.106017 kb_relative_information_score 150.274694 kb_relative_information_score 152.82963 kb_relative_information_score 145.950811 kb_relative_information_score 162.941501 kb_relative_information_score 142.20843 mean_absolute_error 0.308916 mean_absolute_error 0.319468 mean_absolute_error 0.310412 mean_absolute_error 0.290778 mean_absolute_error 0.308389 mean_absolute_error 0.315769 mean_absolute_error 0.310875 mean_absolute_error 0.322072 mean_absolute_error 0.299036 mean_absolute_error 0.324511 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 0.800313 [0.793939,0.805687] precision 0.781854 [0.788462,0.776256] precision 0.795209 [0.802548,0.788991] precision 0.842964 [0.822857,0.86] precision 0.791764 [0.779762,0.801932] precision 0.805152 [0.792899,0.815534] precision 0.797157 [0.792683,0.800948] precision 0.81076 [0.8125,0.809302] precision 0.832281 [0.8375,0.827907] precision 0.78411 [0.761628,0.802956] predictive_accuracy 0.800532 predictive_accuracy 0.781333 predictive_accuracy 0.794667 predictive_accuracy 0.842667 predictive_accuracy 0.792 predictive_accuracy 0.805333 predictive_accuracy 0.797333 predictive_accuracy 0.810667 predictive_accuracy 0.832 predictive_accuracy 0.784 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 0.800532 [0.761628,0.833333] recall 0.781333 [0.715116,0.837438] recall 0.794667 [0.732558,0.847291] recall 0.842667 [0.837209,0.847291] recall 0.792 [0.761628,0.817734] recall 0.805333 [0.77907,0.827586] recall 0.797333 [0.755814,0.832512] recall 0.810667 [0.760234,0.852941] recall 0.832 [0.783626,0.872549] recall 0.784 [0.766082,0.79902] relative_absolute_error 0.622305 relative_absolute_error 0.643429 relative_absolute_error 0.625189 relative_absolute_error 0.585646 relative_absolute_error 0.621115 relative_absolute_error 0.635979 relative_absolute_error 0.626121 relative_absolute_error 0.648968 relative_absolute_error 0.602552 relative_absolute_error 0.653882 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 0.379216 root_mean_squared_error 0.387183 root_mean_squared_error 0.373647 root_mean_squared_error 0.354442 root_mean_squared_error 0.371154 root_mean_squared_error 0.385558 root_mean_squared_error 0.385855 root_mean_squared_error 0.381378 root_mean_squared_error 0.370033 root_mean_squared_error 0.395108 root_relative_squared_error 0.761194 root_relative_squared_error 0.777024 root_relative_squared_error 0.749859 root_relative_squared_error 0.711317 root_relative_squared_error 0.744857 root_relative_squared_error 0.773763 root_relative_squared_error 0.774359 root_relative_squared_error 0.765723 root_relative_squared_error 0.742944 root_relative_squared_error 0.793288 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