180309 2 Joaquin Vanschoren 1915 Supervised Classification predictive_accuracy 1075 weka.NNge(3) 1845 weka.classifiers.rules.NNge -- -G 5 -I 5 G 5 1075 I 5 1075 weka weka_3.7.12 35 dermatology https://www.openml.org/data/download/35/dataset_35_dermatology.arff -1 593219 description https://api.openml.org/data/download/593219/weka_generated_run3457527537163267503.xml -1 593222 model_readable https://api.openml.org/data/download/593222/WekaModel_weka.classifiers.rules.NNge8162010680587373535.model -1 593221 model_serialized https://api.openml.org/data/download/593221/WekaSerialized_weka.classifiers.rules.NNge1681957289967815170.model -1 593220 predictions https://api.openml.org/data/download/593220/weka_generated_predictions3622536051356644600.arff area_under_roc_curve 0.968531 [0.995367,0.908525,0.998299,0.92665,0.984138,0.956142] average_cost 0 f_measure 0.946481 [0.990696,0.860504,0.993103,0.881075,0.9815,0.862471] kappa 0.933297 kb_relative_information_score 3408.542757 mean_absolute_error 0.01776 mean_prior_absolute_error 0.266447 number_of_instances 3660 [1120,610,720,490,520,200] os_information [Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic] precision 0.946997 [0.983289,0.882759,0.986301,0.893082,0.994083,0.80786] predictive_accuracy 0.946721 prior_entropy 2.437791 recall 0.946721 [0.998214,0.839344,1,0.869388,0.969231,0.925] relative_absolute_error 0.066653 root_mean_prior_squared_error 0.364873 root_mean_squared_error 0.133265 root_relative_squared_error 0.365237 scimark_benchmark 825.528242 [682.9446780485149, 428.49789125867096, 470.3205552291989, 591.2133493411818, 1954.6647371316437] total_cost 0 usercpu_time_millis 20 usercpu_time_millis_testing 0 usercpu_time_millis_training 20 area_under_roc_curve 0.952117 [1,0.884409,1,0.884375,1,0.75] area_under_roc_curve 0.957143 [1,0.75,1,1,1,0.957143] area_under_roc_curve 0.967742 [1,0.967742,1,0.8,1,1] area_under_roc_curve 0.943871 [0.96,0.983871,1,0.9,1,0.5] area_under_roc_curve 0.980769 [0.980769,1,1,1,1,0.75] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 0.969585 [1,0.983871,1,0.9,0.9,0.985714] area_under_roc_curve 0.938335 [1,0.733871,1,0.86875,1,0.985714] area_under_roc_curve 0.9553 [1,0.817204,1,0.9,1,0.971429] area_under_roc_curve 0.96875 [1,0.833333,1,0.96875,1,1] area_under_roc_curve 0.969048 [1,0.833333,0.983333,1,1,0.985714] area_under_roc_curve 0.970563 [1,0.857143,1,0.984848,1,0.985714] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 0.938335 [1,0.817204,1,0.86875,0.9,0.985714] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 0.952117 [1,0.884409,1,0.8,0.984375,1] area_under_roc_curve 0.98 [0.98,0.916667,1,1,1,1] area_under_roc_curve 0.951429 [0.98,0.833333,1,1,0.9,0.971429] area_under_roc_curve 0.965144 [0.980769,0.916667,1,0.984375,0.9,1] area_under_roc_curve 0.984375 [1,0.916667,1,0.984375,1,1] area_under_roc_curve 0.926728 [1,0.733871,1,0.8,1,0.942857] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 0.936996 [1,0.733871,1,0.853125,1,1] area_under_roc_curve 0.967742 [1,0.900538,1,0.9,0.983871,1] area_under_roc_curve 0.953456 [1,0.884409,1,0.8,1,0.985714] area_under_roc_curve 0.985714 [1,0.916667,1,1,1,0.985714] area_under_roc_curve 0.953125 [1,0.833333,1,0.953125,1,0.75] area_under_roc_curve 0.983871 [1,0.983871,1,0.9,1,1] area_under_roc_curve 0.984375 [1,0.916667,1,0.984375,1,1] area_under_roc_curve 0.985714 [1,0.916667,1,1,1,0.985714] area_under_roc_curve 0.93339 [0.980769,0.817204,1,0.86875,0.9,1] area_under_roc_curve 0.971429 [1,0.916667,1,1,0.916667,0.971429] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 0.969585 [1,0.900538,1,1,0.916667,0.985714] area_under_roc_curve 0.96464 [0.980769,0.983871,1,0.9,0.9,1] area_under_roc_curve 0.932382 [0.980769,0.951613,1,0.8,0.916667,0.75] area_under_roc_curve 0.970563 [1,0.833333,1,0.984848,1,0.985714] area_under_roc_curve 0.983871 [1,0.983871,1,0.9,1,1] area_under_roc_curve 0.932886 [0.980769,0.884409,1,0.884375,0.916667,0.75] area_under_roc_curve 0.970089 [1,0.833333,1,0.984375,1,0.985714] area_under_roc_curve 0.985714 [1,0.916667,1,1,1,0.985714] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 0.965714 [0.98,0.857143,1,1,1,0.985714] area_under_roc_curve 0.968246 [1,0.900538,1,0.884375,1,1] area_under_roc_curve 0.957143 [1,0.833333,1,1,0.916667,0.957143] area_under_roc_curve 0.966667 [1,0.966667,1,0.8,1,1] area_under_roc_curve 0.985714 [1,0.916667,1,1,1,0.985714] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 0.984375 [1,0.916667,1,0.984375,1,1] area_under_roc_curve 0.939137 [1,0.840476,1,0.784375,1,0.971429] area_under_roc_curve 0.984375 [1,0.916667,1,0.984375,1,1] area_under_roc_curve 0.983871 [1,0.983871,1,0.9,1,1] area_under_roc_curve 0.983871 [1,0.983871,1,0.9,1,1] area_under_roc_curve 0.968246 [1,0.900538,1,1,0.984375,0.75] area_under_roc_curve 0.983871 [1,0.983871,1,0.9,1,1] area_under_roc_curve 0.984375 [1,0.916667,1,0.984375,1,1] area_under_roc_curve 0.935417 [1,0.769048,0.983333,0.86875,1,1] area_under_roc_curve 0.946092 [0.98,0.816667,0.982759,0.9,1,1] area_under_roc_curve 0.983333 [1,0.983333,1,0.9,1,1] area_under_roc_curve 0.963871 [0.98,0.833333,1,0.983871,1,1] area_under_roc_curve 0.936369 [1,0.816667,1,0.867742,1,0.735294] area_under_roc_curve 0.916667 [0.954545,0.916667,1,0.7,1,0.75] area_under_roc_curve 0.904422 [1,0.566667,0.982759,0.867742,1,0.970588] area_under_roc_curve 0.983333 [1,0.983333,1,0.9,1,1] area_under_roc_curve 0.982759 [0.954545,0.982759,1,1,1,1] area_under_roc_curve 0.953002 [1,0.816667,1,0.859375,1,0.985294] area_under_roc_curve 0.963871 [0.98,0.833333,1,0.983871,1,1] area_under_roc_curve 0.985294 [1,1,1,1,0.9,0.985294] area_under_roc_curve 0.966092 [1,0.9,0.982759,0.9,1,1] area_under_roc_curve 0.968627 [1,0.983333,1,0.8,1,0.985294] area_under_roc_curve 0.967742 [1,0.833333,1,0.967742,1,1] area_under_roc_curve 0.929963 [0.98,0.816667,0.982759,0.883871,0.9,1] area_under_roc_curve 0.967204 [1,0.983333,1,0.883871,1,0.75] area_under_roc_curve 0.946667 [0.98,0.966667,1,0.8,0.9,1] area_under_roc_curve 0.983333 [1,0.983333,1,1,1,0.75] area_under_roc_curve 0.948851 [1,0.9,0.965517,0.8,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 0.950538 [1,0.883333,1,0.783871,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 0.947204 [0.98,0.983333,1,0.883871,0.9,0.75] area_under_roc_curve 0.949963 [1,0.816667,0.982759,0.883871,1,1] area_under_roc_curve 0.95 [1,0.95,1,0.9,1,0.5] area_under_roc_curve 0.967204 [1,0.9,1,0.883871,1,1] area_under_roc_curve 0.982759 [1,0.916667,0.982759,1,1,1] area_under_roc_curve 0.983871 [1,0.916667,1,0.983871,1,1] area_under_roc_curve 0.983871 [1,0.916667,1,0.983871,1,1] area_under_roc_curve 0.953922 [1,0.9,1,0.8,1,0.970588] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 0.984375 [1,0.928571,1,0.984375,1,1] area_under_roc_curve 0.939753 [1,0.75,1,0.883871,1,0.955882] area_under_roc_curve 0.98 [0.98,0.916667,1,1,1,1] area_under_roc_curve 0.965517 [1,0.965517,1,0.75,1,1] area_under_roc_curve 0.965294 [0.98,1,1,0.9,0.9,0.985294] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 0.966667 [1,0.966667,1,0.8,1,1] area_under_roc_curve 0.983871 [1,0.916667,1,0.983871,1,1] area_under_roc_curve 0.967742 [1,0.833333,1,0.967742,1,1] 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 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 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 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 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 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 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 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 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 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 0.917533 [1,0.769231,1,0.8,1,0.666667] f_measure 0.92278 [1,0.666667,1,1,1,0.571429] f_measure 0.94305 [1,0.857143,1,0.75,1,1] f_measure 0.893509 [0.923077,0.923077,1,0.888889,1,0] f_measure 0.969056 [0.956522,1,1,1,1,0.666667] f_measure 1 [1,1,1,1,1,1] f_measure 1 [1,1,1,1,1,1] f_measure 1 [1,1,1,1,1,1] f_measure 0.946685 [1,0.923077,1,0.888889,0.888889,0.8] f_measure 0.887469 [1,0.6,1,0.727273,1,0.8] f_measure 0.922741 [1,0.727273,1,0.888889,1,0.666667] f_measure 0.945045 [1,0.8,1,0.833333,1,1] f_measure 0.944144 [1,0.8,0.933333,1,1,0.8] f_measure 0.945646 [1,0.833333,1,0.888889,1,0.8] f_measure 1 [1,1,1,1,1,1] f_measure 0.893093 [1,0.727273,1,0.727273,0.888889,0.8] f_measure 1 [1,1,1,1,1,1] f_measure 0.916509 [1,0.769231,1,0.75,0.909091,1] f_measure 0.972285 [0.96,0.909091,1,1,1,1] f_measure 0.921562 [0.96,0.8,1,1,0.888889,0.666667] f_measure 0.945032 [0.956522,0.909091,1,0.909091,0.888889,1] f_measure 0.972973 [1,0.909091,1,0.909091,1,1] f_measure 0.874324 [1,0.6,1,0.75,1,0.5] f_measure 1 [1,1,1,1,1,1] f_measure 1 [1,1,1,1,1,1] f_measure 0.89009 [1,0.6,1,0.666667,1,1] f_measure 0.945484 [1,0.833333,1,0.888889,0.923077,1] f_measure 0.917983 [1,0.769231,1,0.75,1,0.8] f_measure 0.974447 [1,0.909091,1,1,1,0.8] f_measure 0.918365 [1,0.8,1,0.769231,1,0.666667] f_measure 0.972511 [1,0.923077,1,0.888889,1,1] f_measure 0.972973 [1,0.909091,1,0.909091,1,1] f_measure 0.974447 [1,0.909091,1,1,1,0.8] f_measure 0.890978 [0.956522,0.727273,1,0.727273,0.888889,1] f_measure 0.952498 [1,0.909091,1,1,0.909091,0.666667] f_measure 1 [1,1,1,1,1,1] f_measure 0.94742 [1,0.833333,1,1,0.909091,0.8] f_measure 0.94457 [0.956522,0.923077,1,0.888889,0.888889,1] f_measure 0.888098 [0.956522,0.8,1,0.75,0.909091,0.666667] f_measure 0.944745 [1,0.8,1,0.888889,1,0.8] f_measure 0.972511 [1,0.923077,1,0.888889,1,1] f_measure 0.889865 [0.956522,0.769231,1,0.8,0.909091,0.666667] f_measure 0.944472 [1,0.8,1,0.909091,1,0.8] f_measure 0.974447 [1,0.909091,1,1,1,0.8] f_measure 1 [1,1,1,1,1,1] f_measure 0.944685 [0.96,0.833333,1,1,1,0.8] f_measure 0.945946 [1,0.833333,1,0.8,1,1] f_measure 0.92966 [1,0.8,1,1,0.909091,0.571429] f_measure 0.942568 [1,0.875,1,0.75,1,1] f_measure 0.974447 [1,0.909091,1,1,1,0.8] f_measure 1 [1,1,1,1,1,1] f_measure 0.972973 [1,0.909091,1,0.909091,1,1] f_measure 0.893278 [1,0.769231,1,0.666667,1,0.666667] f_measure 0.972973 [1,0.909091,1,0.909091,1,1] f_measure 0.972511 [1,0.923077,1,0.888889,1,1] f_measure 0.972511 [1,0.923077,1,0.888889,1,1] f_measure 0.94267 [1,0.833333,1,1,0.909091,0.666667] f_measure 0.972511 [1,0.923077,1,0.888889,1,1] f_measure 0.972973 [1,0.909091,1,0.909091,1,1] f_measure 0.887469 [1,0.666667,0.933333,0.727273,1,1] f_measure 0.912865 [0.956522,0.727273,0.933333,0.888889,1,1] f_measure 0.971747 [1,0.923077,1,0.888889,1,1] f_measure 0.940755 [0.956522,0.8,1,0.909091,1,1] f_measure 0.888889 [1,0.727273,1,0.727273,1,0.5] f_measure 0.858388 [0.952381,0.705882,1,0.571429,1,0.666667] f_measure 0.80564 [1,0.25,0.933333,0.727273,1,0.666667] f_measure 0.971747 [1,0.923077,1,0.888889,1,1] f_measure 0.972487 [0.952381,0.933333,1,1,1,1] f_measure 0.915657 [1,0.727273,1,0.75,1,0.8] f_measure 0.940755 [0.956522,0.8,1,0.909091,1,1] f_measure 0.973457 [1,1,1,1,0.888889,0.8] f_measure 0.943827 [1,0.833333,0.933333,0.888889,1,1] f_measure 0.941346 [1,0.923077,1,0.75,1,0.8] f_measure 0.943519 [1,0.8,1,0.833333,1,1] f_measure 0.885088 [0.956522,0.727273,0.933333,0.8,0.888889,1] f_measure 0.940883 [1,0.923077,1,0.8,1,0.666667] f_measure 0.912751 [0.956522,0.857143,1,0.75,0.888889,1] f_measure 0.968661 [1,0.923077,1,1,1,0.666667] f_measure 0.913194 [1,0.833333,0.875,0.75,1,1] f_measure 1 [1,1,1,1,1,1] f_measure 0.915242 [1,0.769231,1,0.666667,1,1] f_measure 1 [1,1,1,1,1,1] f_measure 0.912166 [0.956522,0.923077,1,0.8,0.888889,0.666667] f_measure 0.913805 [1,0.727273,0.933333,0.8,1,1] f_measure 0.895679 [1,0.8,1,0.888889,1,0] f_measure 0.944444 [1,0.833333,1,0.8,1,1] f_measure 0.971886 [1,0.909091,0.933333,1,1,1] f_measure 0.972222 [1,0.909091,1,0.909091,1,1] f_measure 0.972222 [1,0.909091,1,0.909091,1,1] f_measure 0.918981 [1,0.833333,1,0.75,1,0.666667] f_measure 1 [1,1,1,1,1,1] f_measure 0.972697 [1,0.923077,1,0.888889,1,1] f_measure 0.892857 [1,0.666667,1,0.8,1,0.571429] f_measure 0.971563 [0.956522,0.909091,1,1,1,1] f_measure 0.938657 [1,0.875,1,0.666667,1,1] f_measure 0.94474 [0.956522,1,1,0.888889,0.888889,0.8] f_measure 1 [1,1,1,1,1,1] f_measure 0.941468 [1,0.857143,1,0.75,1,1] f_measure 0.972222 [1,0.909091,1,0.909091,1,1] f_measure 0.943519 [1,0.8,1,0.833333,1,1] kappa 0.898537 kappa 0.898907 kappa 0.932482 kappa 0.895775 kappa 0.965899 kappa 1 kappa 1 kappa 1 kappa 0.931985 kappa 0.864345 kappa 0.899183 kappa 0.931985 kappa 0.932788 kappa 0.93211 kappa 1 kappa 0.865209 kappa 1 kappa 0.897696 kappa 0.965741 kappa 0.897884 kappa 0.932048 kappa 0.96621 kappa 0.831818 kappa 1 kappa 1 kappa 0.865455 kappa 0.932543 kappa 0.898723 kappa 0.966425 kappa 0.898445 kappa 0.965899 kappa 0.96621 kappa 0.965867 kappa 0.864096 kappa 0.933092 kappa 1 kappa 0.932849 kappa 0.931923 kappa 0.863845 kappa 0.932605 kappa 0.965899 kappa 0.864096 kappa 0.932666 kappa 0.966425 kappa 1 kappa 0.931608 kappa 0.932358 kappa 0.9 kappa 0.932234 kappa 0.966425 kappa 1 kappa 0.966333 kappa 0.865942 kappa 0.966333 kappa 0.965899 kappa 0.965899 kappa 0.932172 kappa 0.966272 kappa 0.96621 kappa 0.865209 kappa 0.895044 kappa 0.965217 kappa 0.930233 kappa 0.861138 kappa 0.825919 kappa 0.793103 kappa 0.965217 kappa 0.965251 kappa 0.895551 kappa 0.930233 kappa 0.965351 kappa 0.930368 kappa 0.930636 kappa 0.930636 kappa 0.860058 kappa 0.930233 kappa 0.894942 kappa 0.965116 kappa 0.895349 kappa 1 kappa 0.895652 kappa 1 kappa 0.894737 kappa 0.895652 kappa 0.894839 kappa 0.930502 kappa 0.965217 kappa 0.965284 kappa 0.965284 kappa 0.896353 kappa 1 kappa 0.965217 kappa 0.862595 kappa 0.965082 kappa 0.929825 kappa 0.9303 kappa 1 kappa 0.930368 kappa 0.965284 kappa 0.930636 kb_relative_information_score 32.947577 kb_relative_information_score 33.171536 kb_relative_information_score 34.578203 kb_relative_information_score 31.93234 kb_relative_information_score 35.199467 kb_relative_information_score 36.934921 kb_relative_information_score 36.549041 kb_relative_information_score 36.676345 kb_relative_information_score 34.159095 kb_relative_information_score 31.898439 kb_relative_information_score 33.325284 kb_relative_information_score 34.339805 kb_relative_information_score 34.787858 kb_relative_information_score 34.212502 kb_relative_information_score 36.934921 kb_relative_information_score 32.081132 kb_relative_information_score 36.676345 kb_relative_information_score 32.961881 kb_relative_information_score 35.508075 kb_relative_information_score 33.095653 kb_relative_information_score 34.522498 kb_relative_information_score 35.766651 kb_relative_information_score 30.625342 kb_relative_information_score 36.934921 kb_relative_information_score 37.124397 kb_relative_information_score 32.346491 kb_relative_information_score 34.68303 kb_relative_information_score 33.220457 kb_relative_information_score 35.956128 kb_relative_information_score 32.862928 kb_relative_information_score 35.403247 kb_relative_information_score 35.766651 kb_relative_information_score 35.284115 kb_relative_information_score 32.081132 kb_relative_information_score 34.711975 kb_relative_information_score 37.124397 kb_relative_information_score 34.711975 kb_relative_information_score 34.417671 kb_relative_information_score 31.598597 kb_relative_information_score 34.563898 kb_relative_information_score 35.403247 kb_relative_information_score 31.703424 kb_relative_information_score 34.598382 kb_relative_information_score 35.956128 kb_relative_information_score 36.676345 kb_relative_information_score 34.212502 kb_relative_information_score 34.493554 kb_relative_information_score 33.543705 kb_relative_information_score 34.485383 kb_relative_information_score 35.956128 kb_relative_information_score 37.031577 kb_relative_information_score 35.956128 kb_relative_information_score 32.148844 kb_relative_information_score 35.956128 kb_relative_information_score 35.403247 kb_relative_information_score 35.403247 kb_relative_information_score 34.031198 kb_relative_information_score 35.8513 kb_relative_information_score 35.766651 kb_relative_information_score 32.253671 kb_relative_information_score 32.36157 kb_relative_information_score 34.698109 kb_relative_information_score 33.634667 kb_relative_information_score 30.626116 kb_relative_information_score 29.497051 kb_relative_information_score 28.856761 kb_relative_information_score 34.698109 kb_relative_information_score 34.924492 kb_relative_information_score 32.13761 kb_relative_information_score 33.634667 kb_relative_information_score 34.727053 kb_relative_information_score 33.52984 kb_relative_information_score 33.425012 kb_relative_information_score 33.634667 kb_relative_information_score 31.117417 kb_relative_information_score 32.962656 kb_relative_information_score 32.180859 kb_relative_information_score 34.235753 kb_relative_information_score 32.256742 kb_relative_information_score 35.971206 kb_relative_information_score 32.256742 kb_relative_information_score 35.971206 kb_relative_information_score 31.718503 kb_relative_information_score 32.36157 kb_relative_information_score 31.227202 kb_relative_information_score 33.52984 kb_relative_information_score 34.802937 kb_relative_information_score 34.802937 kb_relative_information_score 34.802937 kb_relative_information_score 32.256742 kb_relative_information_score 35.936722 kb_relative_information_score 34.675633 kb_relative_information_score 31.1933 kb_relative_information_score 34.802937 kb_relative_information_score 33.297708 kb_relative_information_score 33.453956 kb_relative_information_score 35.971206 kb_relative_information_score 33.425012 kb_relative_information_score 34.802937 kb_relative_information_score 33.634667 mean_absolute_error 0.027027 mean_absolute_error 0.027027 mean_absolute_error 0.018018 mean_absolute_error 0.027027 mean_absolute_error 0.009009 mean_absolute_error 0 mean_absolute_error 0 mean_absolute_error 0 mean_absolute_error 0.018018 mean_absolute_error 0.036036 mean_absolute_error 0.027027 mean_absolute_error 0.018018 mean_absolute_error 0.018018 mean_absolute_error 0.018018 mean_absolute_error 0 mean_absolute_error 0.036036 mean_absolute_error 0 mean_absolute_error 0.027027 mean_absolute_error 0.009009 mean_absolute_error 0.027027 mean_absolute_error 0.018018 mean_absolute_error 0.009009 mean_absolute_error 0.045045 mean_absolute_error 0 mean_absolute_error 0 mean_absolute_error 0.036036 mean_absolute_error 0.018018 mean_absolute_error 0.027027 mean_absolute_error 0.009009 mean_absolute_error 0.027027 mean_absolute_error 0.009009 mean_absolute_error 0.009009 mean_absolute_error 0.009009 mean_absolute_error 0.036036 mean_absolute_error 0.018018 mean_absolute_error 0 mean_absolute_error 0.018018 mean_absolute_error 0.018018 mean_absolute_error 0.036036 mean_absolute_error 0.018018 mean_absolute_error 0.009009 mean_absolute_error 0.036036 mean_absolute_error 0.018018 mean_absolute_error 0.009009 mean_absolute_error 0 mean_absolute_error 0.018018 mean_absolute_error 0.018018 mean_absolute_error 0.027027 mean_absolute_error 0.018018 mean_absolute_error 0.009009 mean_absolute_error 0 mean_absolute_error 0.009009 mean_absolute_error 0.036036 mean_absolute_error 0.009009 mean_absolute_error 0.009009 mean_absolute_error 0.009009 mean_absolute_error 0.018018 mean_absolute_error 0.009009 mean_absolute_error 0.009009 mean_absolute_error 0.036036 mean_absolute_error 0.027778 mean_absolute_error 0.009259 mean_absolute_error 0.018519 mean_absolute_error 0.037037 mean_absolute_error 0.046296 mean_absolute_error 0.055556 mean_absolute_error 0.009259 mean_absolute_error 0.009259 mean_absolute_error 0.027778 mean_absolute_error 0.018519 mean_absolute_error 0.009259 mean_absolute_error 0.018519 mean_absolute_error 0.018519 mean_absolute_error 0.018519 mean_absolute_error 0.037037 mean_absolute_error 0.018519 mean_absolute_error 0.027778 mean_absolute_error 0.009259 mean_absolute_error 0.027778 mean_absolute_error 0 mean_absolute_error 0.027778 mean_absolute_error 0 mean_absolute_error 0.027778 mean_absolute_error 0.027778 mean_absolute_error 0.027778 mean_absolute_error 0.018519 mean_absolute_error 0.009259 mean_absolute_error 0.009259 mean_absolute_error 0.009259 mean_absolute_error 0.027778 mean_absolute_error 0 mean_absolute_error 0.009259 mean_absolute_error 0.037037 mean_absolute_error 0.009259 mean_absolute_error 0.018519 mean_absolute_error 0.018519 mean_absolute_error 0 mean_absolute_error 0.018519 mean_absolute_error 0.009259 mean_absolute_error 0.018519 mean_prior_absolute_error 0.267074 mean_prior_absolute_error 0.26562 mean_prior_absolute_error 0.267074 mean_prior_absolute_error 0.26562 mean_prior_absolute_error 0.266589 mean_prior_absolute_error 0.266589 mean_prior_absolute_error 0.26533 mean_prior_absolute_error 0.26562 mean_prior_absolute_error 0.26562 mean_prior_absolute_error 0.26562 mean_prior_absolute_error 0.266589 mean_prior_absolute_error 0.26562 mean_prior_absolute_error 0.267074 mean_prior_absolute_error 0.26533 mean_prior_absolute_error 0.266589 mean_prior_absolute_error 0.266589 mean_prior_absolute_error 0.26562 mean_prior_absolute_error 0.26562 mean_prior_absolute_error 0.26562 mean_prior_absolute_error 0.26562 mean_prior_absolute_error 0.266589 mean_prior_absolute_error 0.266589 mean_prior_absolute_error 0.26562 mean_prior_absolute_error 0.266589 mean_prior_absolute_error 0.267074 mean_prior_absolute_error 0.267074 mean_prior_absolute_error 0.267074 mean_prior_absolute_error 0.266589 mean_prior_absolute_error 0.267074 mean_prior_absolute_error 0.266589 mean_prior_absolute_error 0.26562 mean_prior_absolute_error 0.266589 mean_prior_absolute_error 0.265063 mean_prior_absolute_error 0.266589 mean_prior_absolute_error 0.267074 mean_prior_absolute_error 0.267074 mean_prior_absolute_error 0.267074 mean_prior_absolute_error 0.266589 mean_prior_absolute_error 0.267074 mean_prior_absolute_error 0.266517 mean_prior_absolute_error 0.26562 mean_prior_absolute_error 0.267074 mean_prior_absolute_error 0.266589 mean_prior_absolute_error 0.267074 mean_prior_absolute_error 0.26562 mean_prior_absolute_error 0.26533 mean_prior_absolute_error 0.266589 mean_prior_absolute_error 0.267074 mean_prior_absolute_error 0.266856 mean_prior_absolute_error 0.267074 mean_prior_absolute_error 0.266856 mean_prior_absolute_error 0.267074 mean_prior_absolute_error 0.266856 mean_prior_absolute_error 0.267074 mean_prior_absolute_error 0.26562 mean_prior_absolute_error 0.26562 mean_prior_absolute_error 0.266589 mean_prior_absolute_error 0.267074 mean_prior_absolute_error 0.266589 mean_prior_absolute_error 0.266856 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266253 mean_prior_absolute_error 0.26598 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266477 mean_prior_absolute_error 0.266253 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266253 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 number_of_instances 37 [11,6,7,5,6,2] number_of_instances 37 [12,6,7,5,5,2] number_of_instances 37 [11,6,7,5,6,2] number_of_instances 37 [12,6,7,5,5,2] number_of_instances 37 [11,6,8,5,5,2] number_of_instances 37 [11,6,8,5,5,2] number_of_instances 37 [12,7,7,4,5,2] number_of_instances 37 [12,6,7,5,5,2] number_of_instances 37 [12,6,7,5,5,2] number_of_instances 37 [12,6,7,5,5,2] number_of_instances 37 [11,6,8,5,5,2] number_of_instances 37 [12,6,7,5,5,2] number_of_instances 37 [11,6,7,5,6,2] number_of_instances 37 [12,7,7,4,5,2] number_of_instances 37 [11,6,8,5,5,2] number_of_instances 37 [11,6,8,5,5,2] number_of_instances 37 [12,6,7,5,5,2] number_of_instances 37 [12,6,7,5,5,2] number_of_instances 37 [12,6,7,5,5,2] number_of_instances 37 [12,6,7,5,5,2] number_of_instances 37 [11,6,8,5,5,2] number_of_instances 37 [11,6,8,5,5,2] number_of_instances 37 [12,6,7,5,5,2] number_of_instances 37 [11,6,8,5,5,2] number_of_instances 37 [11,6,7,5,6,2] number_of_instances 37 [11,6,7,5,6,2] number_of_instances 37 [11,6,7,5,6,2] number_of_instances 37 [11,6,8,5,5,2] number_of_instances 37 [11,6,7,5,6,2] number_of_instances 37 [11,6,8,5,5,2] number_of_instances 37 [12,6,7,5,5,2] number_of_instances 37 [11,6,8,5,5,2] number_of_instances 37 [12,6,8,4,5,2] number_of_instances 37 [11,6,8,5,5,2] number_of_instances 37 [11,6,7,5,6,2] number_of_instances 37 [11,6,7,5,6,2] number_of_instances 37 [11,6,7,5,6,2] number_of_instances 37 [11,6,8,5,5,2] number_of_instances 37 [11,6,7,5,6,2] number_of_instances 37 [11,6,8,4,6,2] number_of_instances 37 [12,6,7,5,5,2] number_of_instances 37 [11,6,7,5,6,2] number_of_instances 37 [11,6,8,5,5,2] number_of_instances 37 [11,6,7,5,6,2] number_of_instances 37 [12,6,7,5,5,2] number_of_instances 37 [12,7,7,4,5,2] number_of_instances 37 [11,6,8,5,5,2] number_of_instances 37 [11,6,7,5,6,2] number_of_instances 37 [11,7,7,5,5,2] number_of_instances 37 [11,6,7,5,6,2] number_of_instances 37 [11,7,7,5,5,2] number_of_instances 37 [11,6,7,5,6,2] number_of_instances 37 [11,7,7,5,5,2] number_of_instances 37 [11,6,7,5,6,2] number_of_instances 37 [12,6,7,5,5,2] number_of_instances 37 [12,6,7,5,5,2] number_of_instances 37 [11,6,8,5,5,2] number_of_instances 37 [11,6,7,5,6,2] number_of_instances 37 [11,6,8,5,5,2] number_of_instances 37 [11,7,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,7,7,4,5,2] number_of_instances 36 [11,6,8,4,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,4,6,2] number_of_instances 36 [11,7,7,4,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,7,7,4,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] precision 0.926641 [1,0.714286,1,0.8,1,1] precision 0.967568 [1,1,1,1,1,0.4] precision 0.959459 [1,0.75,1,1,1,1] precision 0.876448 [0.857143,0.857143,1,1,1,0] precision 0.975225 [0.916667,1,1,1,1,1] precision 1 [1,1,1,1,1,1] precision 1 [1,1,1,1,1,1] precision 1 [1,1,1,1,1,1] precision 0.958816 [1,0.857143,1,1,1,0.666667] precision 0.896396 [1,0.75,1,0.666667,1,0.666667] precision 0.940541 [1,0.8,1,1,1,0.5] precision 0.96139 [1,1,1,0.714286,1,1] precision 0.958333 [1,1,0.875,1,1,0.666667] precision 0.96036 [1,1,1,0.8,1,0.666667] precision 1 [1,1,1,1,1,1] precision 0.904505 [1,0.8,1,0.666667,1,0.666667] precision 1 [1,1,1,1,1,1] precision 0.931145 [1,0.714286,1,1,0.833333,1] precision 0.975052 [0.923077,1,1,1,1,1] precision 0.948025 [0.923077,1,1,1,1,0.5] precision 0.952703 [0.916667,1,1,0.833333,1,1] precision 0.977477 [1,1,1,0.833333,1,1] precision 0.923423 [1,0.75,1,1,1,0.333333] precision 1 [1,1,1,1,1,1] precision 1 [1,1,1,1,1,1] precision 0.901544 [1,0.75,1,0.571429,1,1] precision 0.949807 [1,0.833333,1,1,0.857143,1] precision 0.93565 [1,0.714286,1,1,1,0.666667] precision 0.981982 [1,1,1,1,1,0.666667] precision 0.949324 [1,1,1,0.625,1,1] precision 0.976834 [1,0.857143,1,1,1,1] precision 0.977477 [1,1,1,0.833333,1,1] precision 0.981982 [1,1,1,1,1,0.666667] precision 0.897748 [0.916667,0.8,1,0.666667,1,1] precision 0.972973 [1,1,1,1,1,0.5] precision 1 [1,1,1,1,1,1] precision 0.954955 [1,0.833333,1,1,1,0.666667] precision 0.952059 [0.916667,0.857143,1,1,1,1] precision 0.921171 [0.916667,0.666667,1,1,1,1] precision 0.96036 [1,1,1,0.8,1,0.666667] precision 0.976834 [1,0.857143,1,1,1,1] precision 0.901866 [0.916667,0.714286,1,0.8,1,1] precision 0.959459 [1,1,1,0.833333,1,0.666667] precision 0.981982 [1,1,1,1,1,0.666667] precision 1 [1,1,1,1,1,1] precision 0.957034 [0.923077,1,1,1,1,0.666667] precision 0.945946 [1,0.833333,1,0.8,1,1] precision 0.967568 [1,1,1,1,1,0.4] precision 0.957958 [1,0.777778,1,1,1,1] precision 0.981982 [1,1,1,1,1,0.666667] precision 1 [1,1,1,1,1,1] precision 0.977477 [1,1,1,0.833333,1,1] precision 0.907658 [1,0.833333,1,0.75,1,0.5] precision 0.977477 [1,1,1,0.833333,1,1] precision 0.976834 [1,0.857143,1,1,1,1] precision 0.976834 [1,0.857143,1,1,1,1] precision 0.95045 [1,0.833333,1,1,0.833333,1] precision 0.976834 [1,0.857143,1,1,1,1] precision 0.977477 [1,1,1,0.833333,1,1] precision 0.893468 [1,0.8,0.875,0.666667,1,1] precision 0.916898 [0.916667,0.8,0.875,1,1,1] precision 0.97619 [1,0.857143,1,1,1,1] precision 0.951389 [0.916667,1,1,0.833333,1,1] precision 0.892593 [1,0.8,1,0.666667,1,0.5] precision 0.924242 [1,0.545455,1,1,1,1] precision 0.818287 [1,0.5,0.875,0.666667,1,0.5] precision 0.97619 [1,0.857143,1,1,1,1] precision 0.975694 [1,0.875,1,1,1,1] precision 0.92037 [1,0.8,1,0.75,1,0.666667] precision 0.951389 [0.916667,1,1,0.833333,1,1] precision 0.981481 [1,1,1,1,1,0.666667] precision 0.947917 [1,0.833333,0.875,1,1,1] precision 0.957672 [1,0.857143,1,1,1,0.666667] precision 0.960317 [1,1,1,0.714286,1,1] precision 0.88912 [0.916667,0.8,0.875,0.8,1,1] precision 0.948413 [1,0.857143,1,0.8,1,1] precision 0.93287 [0.916667,0.75,1,1,1,1] precision 0.97619 [1,0.857143,1,1,1,1] precision 0.929012 [1,0.833333,0.777778,1,1,1] precision 1 [1,1,1,1,1,1] precision 0.917659 [1,0.714286,1,0.75,1,1] precision 1 [1,1,1,1,1,1] precision 0.92295 [0.916667,0.857143,1,0.8,1,1] precision 0.914583 [1,0.8,0.875,0.8,1,1] precision 0.888889 [1,0.666667,1,1,1,0] precision 0.944444 [1,0.833333,1,0.8,1,1] precision 0.975694 [1,1,0.875,1,1,1] precision 0.976852 [1,1,1,0.833333,1,1] precision 0.976852 [1,1,1,0.833333,1,1] precision 0.944444 [1,0.833333,1,1,1,0.5] precision 1 [1,1,1,1,1,1] precision 0.977778 [1,1,1,0.8,1,1] precision 0.938889 [1,1,1,0.8,1,0.4] precision 0.974537 [0.916667,1,1,1,1,1] precision 0.95679 [1,0.777778,1,1,1,1] precision 0.956019 [0.916667,1,1,1,1,0.666667] precision 1 [1,1,1,1,1,1] precision 0.958333 [1,0.75,1,1,1,1] precision 0.976852 [1,1,1,0.833333,1,1] precision 0.960317 [1,1,1,0.714286,1,1] predictive_accuracy 0.918919 predictive_accuracy 0.918919 predictive_accuracy 0.945946 predictive_accuracy 0.918919 predictive_accuracy 0.972973 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 0.945946 predictive_accuracy 0.891892 predictive_accuracy 0.918919 predictive_accuracy 0.945946 predictive_accuracy 0.945946 predictive_accuracy 0.945946 predictive_accuracy 1 predictive_accuracy 0.891892 predictive_accuracy 1 predictive_accuracy 0.918919 predictive_accuracy 0.972973 predictive_accuracy 0.918919 predictive_accuracy 0.945946 predictive_accuracy 0.972973 predictive_accuracy 0.864865 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 0.891892 predictive_accuracy 0.945946 predictive_accuracy 0.918919 predictive_accuracy 0.972973 predictive_accuracy 0.918919 predictive_accuracy 0.972973 predictive_accuracy 0.972973 predictive_accuracy 0.972973 predictive_accuracy 0.891892 predictive_accuracy 0.945946 predictive_accuracy 1 predictive_accuracy 0.945946 predictive_accuracy 0.945946 predictive_accuracy 0.891892 predictive_accuracy 0.945946 predictive_accuracy 0.972973 predictive_accuracy 0.891892 predictive_accuracy 0.945946 predictive_accuracy 0.972973 predictive_accuracy 1 predictive_accuracy 0.945946 predictive_accuracy 0.945946 predictive_accuracy 0.918919 predictive_accuracy 0.945946 predictive_accuracy 0.972973 predictive_accuracy 1 predictive_accuracy 0.972973 predictive_accuracy 0.891892 predictive_accuracy 0.972973 predictive_accuracy 0.972973 predictive_accuracy 0.972973 predictive_accuracy 0.945946 predictive_accuracy 0.972973 predictive_accuracy 0.972973 predictive_accuracy 0.891892 predictive_accuracy 0.916667 predictive_accuracy 0.972222 predictive_accuracy 0.944444 predictive_accuracy 0.888889 predictive_accuracy 0.861111 predictive_accuracy 0.833333 predictive_accuracy 0.972222 predictive_accuracy 0.972222 predictive_accuracy 0.916667 predictive_accuracy 0.944444 predictive_accuracy 0.972222 predictive_accuracy 0.944444 predictive_accuracy 0.944444 predictive_accuracy 0.944444 predictive_accuracy 0.888889 predictive_accuracy 0.944444 predictive_accuracy 0.916667 predictive_accuracy 0.972222 predictive_accuracy 0.916667 predictive_accuracy 1 predictive_accuracy 0.916667 predictive_accuracy 1 predictive_accuracy 0.916667 predictive_accuracy 0.916667 predictive_accuracy 0.916667 predictive_accuracy 0.944444 predictive_accuracy 0.972222 predictive_accuracy 0.972222 predictive_accuracy 0.972222 predictive_accuracy 0.916667 predictive_accuracy 1 predictive_accuracy 0.972222 predictive_accuracy 0.888889 predictive_accuracy 0.972222 predictive_accuracy 0.944444 predictive_accuracy 0.944444 predictive_accuracy 1 predictive_accuracy 0.944444 predictive_accuracy 0.972222 predictive_accuracy 0.944444 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 recall 0.918919 [1,0.833333,1,0.8,1,0.5] recall 0.918919 [1,0.5,1,1,1,1] recall 0.945946 [1,1,1,0.6,1,1] recall 0.918919 [1,1,1,0.8,1,0] recall 0.972973 [1,1,1,1,1,0.5] recall 1 [1,1,1,1,1,1] recall 1 [1,1,1,1,1,1] recall 1 [1,1,1,1,1,1] recall 0.945946 [1,1,1,0.8,0.8,1] recall 0.891892 [1,0.5,1,0.8,1,1] recall 0.918919 [1,0.666667,1,0.8,1,1] recall 0.945946 [1,0.666667,1,1,1,1] recall 0.945946 [1,0.666667,1,1,1,1] recall 0.945946 [1,0.714286,1,1,1,1] recall 1 [1,1,1,1,1,1] recall 0.891892 [1,0.666667,1,0.8,0.8,1] recall 1 [1,1,1,1,1,1] recall 0.918919 [1,0.833333,1,0.6,1,1] recall 0.972973 [1,0.833333,1,1,1,1] recall 0.918919 [1,0.666667,1,1,0.8,1] recall 0.945946 [1,0.833333,1,1,0.8,1] recall 0.972973 [1,0.833333,1,1,1,1] recall 0.864865 [1,0.5,1,0.6,1,1] recall 1 [1,1,1,1,1,1] recall 1 [1,1,1,1,1,1] recall 0.891892 [1,0.5,1,0.8,1,1] recall 0.945946 [1,0.833333,1,0.8,1,1] recall 0.918919 [1,0.833333,1,0.6,1,1] recall 0.972973 [1,0.833333,1,1,1,1] recall 0.918919 [1,0.666667,1,1,1,0.5] recall 0.972973 [1,1,1,0.8,1,1] recall 0.972973 [1,0.833333,1,1,1,1] recall 0.972973 [1,0.833333,1,1,1,1] recall 0.891892 [1,0.666667,1,0.8,0.8,1] recall 0.945946 [1,0.833333,1,1,0.833333,1] recall 1 [1,1,1,1,1,1] recall 0.945946 [1,0.833333,1,1,0.833333,1] recall 0.945946 [1,1,1,0.8,0.8,1] recall 0.891892 [1,1,1,0.6,0.833333,0.5] recall 0.945946 [1,0.666667,1,1,1,1] recall 0.972973 [1,1,1,0.8,1,1] recall 0.891892 [1,0.833333,1,0.8,0.833333,0.5] recall 0.945946 [1,0.666667,1,1,1,1] recall 0.972973 [1,0.833333,1,1,1,1] recall 1 [1,1,1,1,1,1] recall 0.945946 [1,0.714286,1,1,1,1] recall 0.945946 [1,0.833333,1,0.8,1,1] recall 0.918919 [1,0.666667,1,1,0.833333,1] recall 0.945946 [1,1,1,0.6,1,1] recall 0.972973 [1,0.833333,1,1,1,1] recall 1 [1,1,1,1,1,1] recall 0.972973 [1,0.833333,1,1,1,1] recall 0.891892 [1,0.714286,1,0.6,1,1] recall 0.972973 [1,0.833333,1,1,1,1] recall 0.972973 [1,1,1,0.8,1,1] recall 0.972973 [1,1,1,0.8,1,1] recall 0.945946 [1,0.833333,1,1,1,0.5] recall 0.972973 [1,1,1,0.8,1,1] recall 0.972973 [1,0.833333,1,1,1,1] recall 0.891892 [1,0.571429,1,0.8,1,1] recall 0.916667 [1,0.666667,1,0.8,1,1] recall 0.972222 [1,1,1,0.8,1,1] recall 0.944444 [1,0.666667,1,1,1,1] recall 0.888889 [1,0.666667,1,0.8,1,0.5] recall 0.861111 [0.909091,1,1,0.4,1,0.5] recall 0.833333 [1,0.166667,1,0.8,1,1] recall 0.972222 [1,1,1,0.8,1,1] recall 0.972222 [0.909091,1,1,1,1,1] recall 0.916667 [1,0.666667,1,0.75,1,1] recall 0.944444 [1,0.666667,1,1,1,1] recall 0.972222 [1,1,1,1,0.8,1] recall 0.944444 [1,0.833333,1,0.8,1,1] recall 0.944444 [1,1,1,0.6,1,1] recall 0.944444 [1,0.666667,1,1,1,1] recall 0.888889 [1,0.666667,1,0.8,0.8,1] recall 0.944444 [1,1,1,0.8,1,0.5] recall 0.916667 [1,1,1,0.6,0.8,1] recall 0.972222 [1,1,1,1,1,0.5] recall 0.916667 [1,0.833333,1,0.6,1,1] recall 1 [1,1,1,1,1,1] recall 0.916667 [1,0.833333,1,0.6,1,1] recall 1 [1,1,1,1,1,1] recall 0.916667 [1,1,1,0.8,0.8,0.5] recall 0.916667 [1,0.666667,1,0.8,1,1] recall 0.916667 [1,1,1,0.8,1,0] recall 0.944444 [1,0.833333,1,0.8,1,1] recall 0.972222 [1,0.833333,1,1,1,1] recall 0.972222 [1,0.833333,1,1,1,1] recall 0.972222 [1,0.833333,1,1,1,1] recall 0.916667 [1,0.833333,1,0.6,1,1] recall 1 [1,1,1,1,1,1] recall 0.972222 [1,0.857143,1,1,1,1] recall 0.888889 [1,0.5,1,0.8,1,1] recall 0.972222 [1,0.833333,1,1,1,1] recall 0.944444 [1,1,1,0.5,1,1] recall 0.944444 [1,1,1,0.8,0.8,1] recall 1 [1,1,1,1,1,1] recall 0.944444 [1,1,1,0.6,1,1] recall 0.972222 [1,0.833333,1,1,1,1] recall 0.944444 [1,0.666667,1,1,1,1] relative_absolute_error 0.101197 relative_absolute_error 0.101751 relative_absolute_error 0.067465 relative_absolute_error 0.101751 relative_absolute_error 0.033794 relative_absolute_error 0 relative_absolute_error 0 relative_absolute_error 0 relative_absolute_error 0.067834 relative_absolute_error 0.135667 relative_absolute_error 0.101381 relative_absolute_error 0.067834 relative_absolute_error 0.067465 relative_absolute_error 0.067908 relative_absolute_error 0 relative_absolute_error 0.135174 relative_absolute_error 0 relative_absolute_error 0.101751 relative_absolute_error 0.033917 relative_absolute_error 0.101751 relative_absolute_error 0.067587 relative_absolute_error 0.033794 relative_absolute_error 0.169584 relative_absolute_error 0 relative_absolute_error 0 relative_absolute_error 0.134929 relative_absolute_error 0.067465 relative_absolute_error 0.101381 relative_absolute_error 0.033732 relative_absolute_error 0.101381 relative_absolute_error 0.033917 relative_absolute_error 0.033794 relative_absolute_error 0.033988 relative_absolute_error 0.135174 relative_absolute_error 0.067465 relative_absolute_error 0 relative_absolute_error 0.067465 relative_absolute_error 0.067587 relative_absolute_error 0.134929 relative_absolute_error 0.067606 relative_absolute_error 0.033917 relative_absolute_error 0.134929 relative_absolute_error 0.067587 relative_absolute_error 0.033732 relative_absolute_error 0 relative_absolute_error 0.067908 relative_absolute_error 0.067587 relative_absolute_error 0.101197 relative_absolute_error 0.06752 relative_absolute_error 0.033732 relative_absolute_error 0 relative_absolute_error 0.033732 relative_absolute_error 0.135039 relative_absolute_error 0.033732 relative_absolute_error 0.033917 relative_absolute_error 0.033917 relative_absolute_error 0.067587 relative_absolute_error 0.033732 relative_absolute_error 0.033794 relative_absolute_error 0.135039 relative_absolute_error 0.104211 relative_absolute_error 0.034737 relative_absolute_error 0.069474 relative_absolute_error 0.138949 relative_absolute_error 0.173686 relative_absolute_error 0.208423 relative_absolute_error 0.034737 relative_absolute_error 0.034776 relative_absolute_error 0.104436 relative_absolute_error 0.069474 relative_absolute_error 0.034737 relative_absolute_error 0.069474 relative_absolute_error 0.069474 relative_absolute_error 0.069474 relative_absolute_error 0.138949 relative_absolute_error 0.069474 relative_absolute_error 0.104211 relative_absolute_error 0.034737 relative_absolute_error 0.104211 relative_absolute_error 0 relative_absolute_error 0.104211 relative_absolute_error 0 relative_absolute_error 0.104211 relative_absolute_error 0.104211 relative_absolute_error 0.104211 relative_absolute_error 0.069474 relative_absolute_error 0.034737 relative_absolute_error 0.034737 relative_absolute_error 0.034737 relative_absolute_error 0.104211 relative_absolute_error 0 relative_absolute_error 0.034776 relative_absolute_error 0.138949 relative_absolute_error 0.034737 relative_absolute_error 0.069552 relative_absolute_error 0.069474 relative_absolute_error 0 relative_absolute_error 0.069474 relative_absolute_error 0.034737 relative_absolute_error 0.069474 root_mean_prior_squared_error 0.36573 root_mean_prior_squared_error 0.363738 root_mean_prior_squared_error 0.36573 root_mean_prior_squared_error 0.363738 root_mean_prior_squared_error 0.365067 root_mean_prior_squared_error 0.365067 root_mean_prior_squared_error 0.363338 root_mean_prior_squared_error 0.363738 root_mean_prior_squared_error 0.363738 root_mean_prior_squared_error 0.363738 root_mean_prior_squared_error 0.365067 root_mean_prior_squared_error 0.363738 root_mean_prior_squared_error 0.36573 root_mean_prior_squared_error 0.363338 root_mean_prior_squared_error 0.365067 root_mean_prior_squared_error 0.365067 root_mean_prior_squared_error 0.363738 root_mean_prior_squared_error 0.363738 root_mean_prior_squared_error 0.363738 root_mean_prior_squared_error 0.363738 root_mean_prior_squared_error 0.365067 root_mean_prior_squared_error 0.365067 root_mean_prior_squared_error 0.363738 root_mean_prior_squared_error 0.365067 root_mean_prior_squared_error 0.36573 root_mean_prior_squared_error 0.36573 root_mean_prior_squared_error 0.36573 root_mean_prior_squared_error 0.365067 root_mean_prior_squared_error 0.36573 root_mean_prior_squared_error 0.365067 root_mean_prior_squared_error 0.363738 root_mean_prior_squared_error 0.365067 root_mean_prior_squared_error 0.362972 root_mean_prior_squared_error 0.365067 root_mean_prior_squared_error 0.36573 root_mean_prior_squared_error 0.36573 root_mean_prior_squared_error 0.36573 root_mean_prior_squared_error 0.365067 root_mean_prior_squared_error 0.36573 root_mean_prior_squared_error 0.364968 root_mean_prior_squared_error 0.363738 root_mean_prior_squared_error 0.36573 root_mean_prior_squared_error 0.365067 root_mean_prior_squared_error 0.36573 root_mean_prior_squared_error 0.363738 root_mean_prior_squared_error 0.363338 root_mean_prior_squared_error 0.365067 root_mean_prior_squared_error 0.36573 root_mean_prior_squared_error 0.365432 root_mean_prior_squared_error 0.36573 root_mean_prior_squared_error 0.365432 root_mean_prior_squared_error 0.36573 root_mean_prior_squared_error 0.365432 root_mean_prior_squared_error 0.36573 root_mean_prior_squared_error 0.363738 root_mean_prior_squared_error 0.363738 root_mean_prior_squared_error 0.365067 root_mean_prior_squared_error 0.36573 root_mean_prior_squared_error 0.365067 root_mean_prior_squared_error 0.365432 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.364607 root_mean_prior_squared_error 0.364232 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.364914 root_mean_prior_squared_error 0.364607 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.364607 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_squared_error 0.164399 root_mean_squared_error 0.164399 root_mean_squared_error 0.134231 root_mean_squared_error 0.164399 root_mean_squared_error 0.094916 root_mean_squared_error 0 root_mean_squared_error 0 root_mean_squared_error 0 root_mean_squared_error 0.134231 root_mean_squared_error 0.189832 root_mean_squared_error 0.164399 root_mean_squared_error 0.134231 root_mean_squared_error 0.134231 root_mean_squared_error 0.134231 root_mean_squared_error 0 root_mean_squared_error 0.189832 root_mean_squared_error 0 root_mean_squared_error 0.164399 root_mean_squared_error 0.094916 root_mean_squared_error 0.164399 root_mean_squared_error 0.134231 root_mean_squared_error 0.094916 root_mean_squared_error 0.212238 root_mean_squared_error 0 root_mean_squared_error 0 root_mean_squared_error 0.189832 root_mean_squared_error 0.134231 root_mean_squared_error 0.164399 root_mean_squared_error 0.094916 root_mean_squared_error 0.164399 root_mean_squared_error 0.094916 root_mean_squared_error 0.094916 root_mean_squared_error 0.094916 root_mean_squared_error 0.189832 root_mean_squared_error 0.134231 root_mean_squared_error 0 root_mean_squared_error 0.134231 root_mean_squared_error 0.134231 root_mean_squared_error 0.189832 root_mean_squared_error 0.134231 root_mean_squared_error 0.094916 root_mean_squared_error 0.189832 root_mean_squared_error 0.134231 root_mean_squared_error 0.094916 root_mean_squared_error 0 root_mean_squared_error 0.134231 root_mean_squared_error 0.134231 root_mean_squared_error 0.164399 root_mean_squared_error 0.134231 root_mean_squared_error 0.094916 root_mean_squared_error 0 root_mean_squared_error 0.094916 root_mean_squared_error 0.189832 root_mean_squared_error 0.094916 root_mean_squared_error 0.094916 root_mean_squared_error 0.094916 root_mean_squared_error 0.134231 root_mean_squared_error 0.094916 root_mean_squared_error 0.094916 root_mean_squared_error 0.189832 root_mean_squared_error 0.166667 root_mean_squared_error 0.096225 root_mean_squared_error 0.136083 root_mean_squared_error 0.19245 root_mean_squared_error 0.215166 root_mean_squared_error 0.235702 root_mean_squared_error 0.096225 root_mean_squared_error 0.096225 root_mean_squared_error 0.166667 root_mean_squared_error 0.136083 root_mean_squared_error 0.096225 root_mean_squared_error 0.136083 root_mean_squared_error 0.136083 root_mean_squared_error 0.136083 root_mean_squared_error 0.19245 root_mean_squared_error 0.136083 root_mean_squared_error 0.166667 root_mean_squared_error 0.096225 root_mean_squared_error 0.166667 root_mean_squared_error 0 root_mean_squared_error 0.166667 root_mean_squared_error 0 root_mean_squared_error 0.166667 root_mean_squared_error 0.166667 root_mean_squared_error 0.166667 root_mean_squared_error 0.136083 root_mean_squared_error 0.096225 root_mean_squared_error 0.096225 root_mean_squared_error 0.096225 root_mean_squared_error 0.166667 root_mean_squared_error 0 root_mean_squared_error 0.096225 root_mean_squared_error 0.19245 root_mean_squared_error 0.096225 root_mean_squared_error 0.136083 root_mean_squared_error 0.136083 root_mean_squared_error 0 root_mean_squared_error 0.136083 root_mean_squared_error 0.096225 root_mean_squared_error 0.136083 root_relative_squared_error 0.449509 root_relative_squared_error 0.451971 root_relative_squared_error 0.367023 root_relative_squared_error 0.451971 root_relative_squared_error 0.259995 root_relative_squared_error 0 root_relative_squared_error 0 root_relative_squared_error 0 root_relative_squared_error 0.369033 root_relative_squared_error 0.521891 root_relative_squared_error 0.450325 root_relative_squared_error 0.369033 root_relative_squared_error 0.367023 root_relative_squared_error 0.369439 root_relative_squared_error 0 root_relative_squared_error 0.519991 root_relative_squared_error 0 root_relative_squared_error 0.451971 root_relative_squared_error 0.260945 root_relative_squared_error 0.451971 root_relative_squared_error 0.367689 root_relative_squared_error 0.259995 root_relative_squared_error 0.583492 root_relative_squared_error 0 root_relative_squared_error 0 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