283685 2 Joaquin Vanschoren 1915 Supervised Classification predictive_accuracy 1194 weka.RandomSubSpace_REPTree(4) 2055 weka.classifiers.meta.RandomSubSpace -- -P 0.5 -S 1 -num-slots 1 -I 80 -W weka.classifiers.trees.REPTree -- -M 2 -V 0.001 -N 3 -S 1 -L -1 -I 0.0 M 2 1077 V 0.001 1077 N 3 1077 S 1 1077 L -1 1077 I 0.0 1077 P 0.5 1194 S 1 1194 num-slots 1 1194 I 80 1194 W weka.classifiers.trees.REPTree 1194 weka weka_3.7.12 35 dermatology https://www.openml.org/data/download/35/dataset_35_dermatology.arff -1 954098 description https://api.openml.org/data/download/954098/weka_generated_run3995481766800500532.xml -1 954101 model_readable https://api.openml.org/data/download/954101/WekaModel_weka.classifiers.meta.RandomSubSpace4778834190910058250.model -1 954100 model_serialized https://api.openml.org/data/download/954100/WekaSerialized_weka.classifiers.meta.RandomSubSpace1620723550476025278.model -1 954099 predictions https://api.openml.org/data/download/954099/weka_generated_predictions3770301397381046428.arff area_under_roc_curve 0.998435 [0.999946,0.993049,0.999977,0.997702,0.999829,0.999027] average_cost 0 f_measure 0.967448 [0.99115,0.928284,0.993103,0.929487,0.98088,0.919897] kappa 0.959557 kb_relative_information_score 3164.273192 mean_absolute_error 0.058369 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 0.967966 [0.982456,0.912837,0.986301,0.975336,0.975285,0.951872] predictive_accuracy 0.96776 prior_entropy 2.437791 recall 0.96776 [1,0.944262,1,0.887755,0.986538,0.89] relative_absolute_error 0.219065 root_mean_prior_squared_error 0.364873 root_mean_squared_error 0.12592 root_relative_squared_error 0.345106 scimark_benchmark 1342.298528 [809.0169429027968, 1012.8541257252805, 543.942133539459, 1111.2505451599056, 3234.4288908429594] total_cost 0 usercpu_time_millis 120 usercpu_time_millis_testing 10 usercpu_time_millis_training 110 area_under_roc_curve 0.99654 [1,0.983871,1,0.99375,1,1] area_under_roc_curve 0.999128 [1,0.994624,1,1,1,1] area_under_roc_curve 0.999228 [1,1,1,1,1,0.985714] 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 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 0.997439 [1,0.994624,1,1,0.9875,1] area_under_roc_curve 0.998284 [1,0.994624,1,0.99375,1,1] area_under_roc_curve 0.997384 [1,0.983871,1,1,1,1] area_under_roc_curve 0.996567 [1,0.989247,1,0.9875,1,1] 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 1 [1,1,1,1,1,1] area_under_roc_curve 0.994851 [1,0.983871,1,0.98125,1,1] area_under_roc_curve 0.996667 [1,0.994624,1,1,0.9875,0.985714] area_under_roc_curve 0.996513 [1,0.978495,1,1,1,1] area_under_roc_curve 0.999128 [1,0.994624,1,1,1,1] area_under_roc_curve 0.997384 [1,0.983871,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 0.998383 [1,1,1,1,0.99375,0.985714] area_under_roc_curve 0.997384 [1,0.983871,1,1,1,1] area_under_roc_curve 0.999228 [1,1,1,1,1,0.985714] 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 0.996513 [1,0.978495,1,1,1,1] area_under_roc_curve 0.999128 [1,0.994624,1,1,1,1] 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 0.997412 [1,0.989247,1,0.99375,1,1] 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 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 1 [1,1,1,1,1,1] area_under_roc_curve 0.997384 [1,0.983871,1,1,1,1] area_under_roc_curve 0.996513 [1,0.978495,1,1,1,1] area_under_roc_curve 0.999228 [1,1,1,1,1,0.985714] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 0.994823 [1,0.978495,1,0.9875,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 0.999128 [1,0.994624,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 0.998198 [1,0.990476,1,1,1,1] area_under_roc_curve 0.998284 [1,0.994624,1,0.99375,1,1] 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 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 0.999099 [1,0.995238,1,1,1,1] area_under_roc_curve 0.996567 [1,0.989247,1,0.9875,1,1] area_under_roc_curve 0.998284 [1,0.994624,1,0.99375,1,1] 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 0.999128 [1,0.994624,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 0.993806 [1,0.97619,1,0.9875,1,1] area_under_roc_curve 0.997222 [1,0.983333,1,1,1,1] area_under_roc_curve 0.997252 [1,0.988889,1,0.993548,1,1] area_under_roc_curve 0.998148 [1,0.988889,1,1,1,1] area_under_roc_curve 0.996326 [1,0.983333,1,0.993548,1,1] area_under_roc_curve 0.999074 [1,0.994444,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 0.999074 [1,0.994444,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 0.996405 [1,0.983333,1,1,1,0.985294] area_under_roc_curve 0.997222 [1,0.983333,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 0.994444 [1,0.966667,1,1,1,1] area_under_roc_curve 0.998178 [1,0.994444,1,0.993548,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 0.99083 [1,0.961111,1,0.980645,1,1] area_under_roc_curve 0.998148 [1,0.988889,1,1,1,1] area_under_roc_curve 0.99537 [1,0.972222,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 0.998148 [1,0.988889,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 0.991756 [1,0.966667,1,0.980645,1,1] 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 0.997222 [1,0.983333,1,1,1,1] 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 0.999074 [1,0.994444,1,1,1,1] area_under_roc_curve 0.998148 [1,0.988889,1,1,1,1] area_under_roc_curve 0.997252 [1,0.988889,1,0.993548,1,1] area_under_roc_curve 0.998148 [1,0.988889,1,1,1,1] 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 0.998178 [1,0.994444,1,0.993548,1,1] area_under_roc_curve 0.994074 [0.992727,0.977778,1,1,1,1] area_under_roc_curve 0.998084 [1,0.990148,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 0.999074 [1,0.994444,1,1,1,1] area_under_roc_curve 0.99543 [1,0.983333,1,0.987097,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] 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 0.972511 [1,0.923077,1,0.888889,1,1] f_measure 1 [1,1,1,1,1,1] f_measure 0.946958 [1,0.923077,1,0.888889,0.909091,0.8] f_measure 0.94152 [0.96,0.923077,1,0.888889,1,0.666667] f_measure 0.969056 [0.956522,1,1,1,1,0.666667] f_measure 0.969056 [0.956522,1,1,1,1,0.666667] f_measure 0.969009 [0.96,1,1,1,1,0.666667] f_measure 0.972973 [1,0.909091,1,0.909091,1,1] f_measure 0.946685 [1,0.923077,1,0.888889,0.888889,0.8] f_measure 0.972511 [1,0.923077,1,0.888889,1,1] f_measure 0.945673 [1,0.833333,1,0.888889,0.909091,1] f_measure 0.972511 [1,0.923077,1,0.888889,1,1] f_measure 0.972645 [1,0.909091,0.933333,1,1,1] 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 0.974174 [1,1,1,1,0.888889,0.8] f_measure 0.944985 [0.96,0.833333,1,0.888889,1,1] f_measure 0.972285 [0.96,0.909091,1,1,1,1] f_measure 0.972511 [1,0.923077,1,0.888889,1,1] f_measure 0.920735 [0.956522,1,1,1,0.909091,0] f_measure 0.945946 [1,1,1,1,0.8,0.5] f_measure 0.972511 [1,0.923077,1,0.888889,1,1] f_measure 0.974447 [1,0.909091,1,1,1,0.8] f_measure 1 [1,1,1,1,1,1] f_measure 0.942019 [1,0.923077,1,0.888889,0.923077,0.666667] f_measure 0.945032 [0.956522,0.833333,1,0.888889,1,1] f_measure 0.941567 [0.956522,0.923077,1,0.888889,1,0.666667] f_measure 1 [1,1,1,1,1,1] f_measure 1 [1,1,1,1,1,1] f_measure 0.972511 [1,0.923077,1,0.888889,1,1] f_measure 0.969697 [1,1,1,1,0.909091,0.666667] 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 0.972973 [1,0.909091,1,0.909091,1,1] f_measure 0.972511 [1,0.923077,1,0.888889,1,1] f_measure 0.942208 [1,0.923077,1,0.888889,0.909091,0.666667] f_measure 0.909653 [1,0.8,1,0.571429,1,1] f_measure 0.945305 [0.956522,1,1,1,0.909091,0.5] f_measure 1 [1,1,1,1,1,1] f_measure 0.915821 [0.956522,0.727273,1,0.8,1,1] f_measure 1 [1,1,1,1,1,1] f_measure 1 [1,1,1,1,1,1] f_measure 0.969697 [1,1,1,1,0.909091,0.666667] f_measure 0.972474 [0.96,0.923077,1,1,1,1] f_measure 0.972973 [1,0.909091,1,0.909091,1,1] f_measure 0.974447 [1,1,1,1,0.909091,0.8] f_measure 0.969697 [1,1,1,1,0.909091,0.666667] f_measure 1 [1,1,1,1,1,1] f_measure 1 [1,1,1,1,1,1] f_measure 0.969056 [0.956522,1,1,1,1,0.666667] f_measure 1 [1,1,1,1,1,1] f_measure 0.945946 [1,0.833333,1,0.8,1,1] 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 1 [1,1,1,1,1,1] f_measure 0.972511 [1,0.923077,1,0.888889,1,1] f_measure 0.969697 [1,1,1,1,0.909091,0.666667] f_measure 0.886398 [1,0.769231,0.933333,0.8,0.909091,0.666667] f_measure 0.940419 [0.956522,0.8,0.933333,1,1,1] f_measure 0.971747 [1,0.923077,1,0.888889,1,1] f_measure 0.891204 [0.916667,0.909091,1,1,0.909091,0] f_measure 0.971747 [1,0.923077,1,0.888889,1,1] f_measure 0.971747 [1,0.923077,1,0.888889,1,1] f_measure 0.971886 [1,0.909091,0.933333,1,1,1] f_measure 0.971747 [1,0.923077,1,0.888889,1,1] f_measure 1 [1,1,1,1,1,1] f_measure 0.939503 [0.956522,0.923077,1,0.857143,1,0.666667] f_measure 0.971563 [0.956522,0.909091,1,1,1,1] f_measure 1 [1,1,1,1,1,1] f_measure 0.913853 [1,0.769231,0.933333,0.75,1,1] f_measure 0.941468 [1,0.857143,1,0.75,1,1] f_measure 0.971747 [1,0.923077,1,0.888889,1,1] f_measure 0.879308 [0.956522,0.6,0.933333,0.8,1,1] f_measure 0.971747 [1,0.923077,1,0.888889,1,1] f_measure 0.941468 [1,0.857143,1,0.75,1,1] f_measure 0.971747 [1,0.923077,1,0.888889,1,1] f_measure 0.942593 [1,0.8,0.933333,1,1,0.8] f_measure 1 [1,1,1,1,1,1] f_measure 0.882937 [1,0.714286,1,0.5,1,1] f_measure 1 [1,1,1,1,1,1] f_measure 0.971747 [1,0.923077,1,0.888889,1,1] f_measure 0.943827 [1,0.833333,0.933333,0.888889,1,1] f_measure 0.968855 [1,1,1,1,0.909091,0.666667] f_measure 1 [1,1,1,1,1,1] f_measure 0.971886 [1,0.909091,0.933333,1,1,1] f_measure 0.941077 [1,0.8,0.933333,0.909091,1,1] f_measure 0.944444 [1,0.833333,1,0.8,1,1] f_measure 0.941468 [1,0.857143,1,0.75,1,1] f_measure 1 [1,1,1,1,1,1] f_measure 1 [1,1,1,1,1,1] f_measure 0.972222 [1,0.909091,1,0.909091,1,1] 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 0.971747 [1,0.923077,1,0.888889,1,1] f_measure 1 [1,1,1,1,1,1] f_measure 0.875998 [1,0.8,1,0.571429,0.909091,0.666667] f_measure 1 [1,1,1,1,1,1] f_measure 1 [1,1,1,1,1,1] kappa 0.966272 kappa 1 kappa 0.932788 kappa 0.931163 kappa 0.965899 kappa 0.965899 kappa 0.965485 kappa 0.965961 kappa 0.931985 kappa 0.965899 kappa 0.932358 kappa 0.965899 kappa 0.966272 kappa 1 kappa 1 kappa 0.932482 kappa 0.966024 kappa 0.931418 kappa 0.965741 kappa 0.965899 kappa 0.931608 kappa 0.932358 kappa 0.965899 kappa 0.966302 kappa 1 kappa 0.932296 kappa 0.932234 kappa 0.931734 kappa 1 kappa 1 kappa 0.965899 kappa 0.966086 kappa 1 kappa 1 kappa 1 kappa 0.966333 kappa 0.966272 kappa 0.93211 kappa 0.89863 kappa 0.931923 kappa 1 kappa 0.898445 kappa 1 kappa 1 kappa 0.965836 kappa 0.965645 kappa 0.96621 kappa 0.966425 kappa 0.966148 kappa 1 kappa 1 kappa 0.966024 kappa 1 kappa 0.932605 kappa 0.965899 kappa 0.965899 kappa 1 kappa 0.966272 kappa 0.966086 kappa 0.864593 kappa 0.930097 kappa 0.965217 kappa 0.894014 kappa 0.965217 kappa 0.965217 kappa 0.965217 kappa 0.965217 kappa 1 kappa 0.929342 kappa 0.965082 kappa 1 kappa 0.89545 kappa 0.930368 kappa 0.965217 kappa 0.860194 kappa 0.965217 kappa 0.930368 kappa 0.965217 kappa 0.930703 kappa 1 kappa 0.860735 kappa 1 kappa 0.965217 kappa 0.930368 kappa 0.96515 kappa 1 kappa 0.965217 kappa 0.930502 kappa 0.930502 kappa 0.930368 kappa 1 kappa 1 kappa 0.965284 kappa 0.965082 kappa 0.929825 kappa 0.965217 kappa 1 kappa 0.860194 kappa 1 kappa 1 kb_relative_information_score 32.55852 kb_relative_information_score 31.64474 kb_relative_information_score 31.348976 kb_relative_information_score 30.10212 kb_relative_information_score 32.706036 kb_relative_information_score 32.109435 kb_relative_information_score 31.78658 kb_relative_information_score 32.762467 kb_relative_information_score 31.508984 kb_relative_information_score 31.923578 kb_relative_information_score 31.821466 kb_relative_information_score 30.843461 kb_relative_information_score 33.302162 kb_relative_information_score 32.204567 kb_relative_information_score 33.195922 kb_relative_information_score 31.661966 kb_relative_information_score 31.474213 kb_relative_information_score 31.726949 kb_relative_information_score 32.241234 kb_relative_information_score 31.3268 kb_relative_information_score 31.124717 kb_relative_information_score 30.809753 kb_relative_information_score 30.202229 kb_relative_information_score 31.36002 kb_relative_information_score 32.532471 kb_relative_information_score 32.004861 kb_relative_information_score 31.871579 kb_relative_information_score 31.648122 kb_relative_information_score 33.003537 kb_relative_information_score 32.445676 kb_relative_information_score 31.625262 kb_relative_information_score 32.838629 kb_relative_information_score 32.633877 kb_relative_information_score 32.17708 kb_relative_information_score 31.962356 kb_relative_information_score 32.655528 kb_relative_information_score 33.413057 kb_relative_information_score 31.37051 kb_relative_information_score 31.753783 kb_relative_information_score 31.306717 kb_relative_information_score 31.657029 kb_relative_information_score 30.976815 kb_relative_information_score 33.771293 kb_relative_information_score 32.041149 kb_relative_information_score 31.643553 kb_relative_information_score 31.380711 kb_relative_information_score 32.241682 kb_relative_information_score 32.658925 kb_relative_information_score 33.029723 kb_relative_information_score 33.394652 kb_relative_information_score 32.529342 kb_relative_information_score 33.280228 kb_relative_information_score 32.193899 kb_relative_information_score 31.797024 kb_relative_information_score 31.734461 kb_relative_information_score 31.603843 kb_relative_information_score 32.653081 kb_relative_information_score 32.23534 kb_relative_information_score 32.928522 kb_relative_information_score 31.017208 kb_relative_information_score 30.697226 kb_relative_information_score 31.403297 kb_relative_information_score 30.693021 kb_relative_information_score 30.709683 kb_relative_information_score 29.603442 kb_relative_information_score 30.264395 kb_relative_information_score 31.175868 kb_relative_information_score 31.814853 kb_relative_information_score 29.896856 kb_relative_information_score 31.416115 kb_relative_information_score 31.384452 kb_relative_information_score 31.077071 kb_relative_information_score 30.843393 kb_relative_information_score 31.581283 kb_relative_information_score 29.474828 kb_relative_information_score 31.362527 kb_relative_information_score 31.163467 kb_relative_information_score 31.55544 kb_relative_information_score 30.636473 kb_relative_information_score 31.30467 kb_relative_information_score 29.943452 kb_relative_information_score 32.088555 kb_relative_information_score 31.442579 kb_relative_information_score 30.916883 kb_relative_information_score 30.801747 kb_relative_information_score 31.205599 kb_relative_information_score 32.149529 kb_relative_information_score 30.186261 kb_relative_information_score 31.087867 kb_relative_information_score 31.611739 kb_relative_information_score 31.898229 kb_relative_information_score 32.135324 kb_relative_information_score 31.214547 kb_relative_information_score 30.280555 kb_relative_information_score 31.019647 kb_relative_information_score 32.003385 kb_relative_information_score 30.815257 kb_relative_information_score 30.734791 kb_relative_information_score 31.226744 kb_relative_information_score 31.693724 mean_absolute_error 0.054384 mean_absolute_error 0.059888 mean_absolute_error 0.065747 mean_absolute_error 0.07078 mean_absolute_error 0.049029 mean_absolute_error 0.055419 mean_absolute_error 0.055253 mean_absolute_error 0.050351 mean_absolute_error 0.059868 mean_absolute_error 0.055295 mean_absolute_error 0.058642 mean_absolute_error 0.066384 mean_absolute_error 0.048489 mean_absolute_error 0.05369 mean_absolute_error 0.048635 mean_absolute_error 0.060228 mean_absolute_error 0.059042 mean_absolute_error 0.055819 mean_absolute_error 0.053082 mean_absolute_error 0.060232 mean_absolute_error 0.06623 mean_absolute_error 0.069395 mean_absolute_error 0.0739 mean_absolute_error 0.064238 mean_absolute_error 0.057129 mean_absolute_error 0.061372 mean_absolute_error 0.061316 mean_absolute_error 0.058191 mean_absolute_error 0.050485 mean_absolute_error 0.057171 mean_absolute_error 0.062564 mean_absolute_error 0.050064 mean_absolute_error 0.047898 mean_absolute_error 0.058697 mean_absolute_error 0.062528 mean_absolute_error 0.054411 mean_absolute_error 0.046584 mean_absolute_error 0.064421 mean_absolute_error 0.061805 mean_absolute_error 0.060728 mean_absolute_error 0.06097 mean_absolute_error 0.06771 mean_absolute_error 0.041538 mean_absolute_error 0.06328 mean_absolute_error 0.060829 mean_absolute_error 0.059527 mean_absolute_error 0.056654 mean_absolute_error 0.053242 mean_absolute_error 0.047714 mean_absolute_error 0.048088 mean_absolute_error 0.056686 mean_absolute_error 0.045269 mean_absolute_error 0.057491 mean_absolute_error 0.063675 mean_absolute_error 0.058487 mean_absolute_error 0.061454 mean_absolute_error 0.054117 mean_absolute_error 0.058561 mean_absolute_error 0.049766 mean_absolute_error 0.068852 mean_absolute_error 0.061564 mean_absolute_error 0.055294 mean_absolute_error 0.05825 mean_absolute_error 0.064104 mean_absolute_error 0.077132 mean_absolute_error 0.067363 mean_absolute_error 0.059836 mean_absolute_error 0.051393 mean_absolute_error 0.067438 mean_absolute_error 0.053615 mean_absolute_error 0.057998 mean_absolute_error 0.05687 mean_absolute_error 0.062071 mean_absolute_error 0.055667 mean_absolute_error 0.072912 mean_absolute_error 0.056668 mean_absolute_error 0.056246 mean_absolute_error 0.056581 mean_absolute_error 0.063014 mean_absolute_error 0.059413 mean_absolute_error 0.068911 mean_absolute_error 0.051725 mean_absolute_error 0.056425 mean_absolute_error 0.058988 mean_absolute_error 0.062418 mean_absolute_error 0.058956 mean_absolute_error 0.04745 mean_absolute_error 0.069608 mean_absolute_error 0.060195 mean_absolute_error 0.052404 mean_absolute_error 0.052518 mean_absolute_error 0.047919 mean_absolute_error 0.057044 mean_absolute_error 0.066491 mean_absolute_error 0.058888 mean_absolute_error 0.050959 mean_absolute_error 0.061971 mean_absolute_error 0.060339 mean_absolute_error 0.061307 mean_absolute_error 0.056771 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 0.976834 [1,0.857143,1,1,1,1] precision 1 [1,1,1,1,1,1] precision 0.958816 [1,0.857143,1,1,1,0.666667] precision 0.951886 [0.923077,0.857143,1,1,1,1] precision 0.975225 [0.916667,1,1,1,1,1] precision 0.975225 [0.916667,1,1,1,1,1] precision 0.975052 [0.923077,1,1,1,1,1] precision 0.977477 [1,1,1,0.833333,1,1] precision 0.958816 [1,0.857143,1,1,1,0.666667] 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 0.976351 [1,1,0.875,1,1,1] 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 0.981982 [1,1,1,1,1,0.666667] precision 0.948025 [0.923077,0.833333,1,1,1,1] precision 0.975052 [0.923077,1,1,1,1,1] precision 0.976834 [1,0.857143,1,1,1,1] precision 0.898649 [0.916667,1,1,1,0.833333,0] precision 0.945946 [1,1,1,1,0.8,0.5] precision 0.976834 [1,0.857143,1,1,1,1] precision 0.981982 [1,1,1,1,1,0.666667] precision 1 [1,1,1,1,1,1] precision 0.953668 [1,0.857143,1,1,0.857143,1] precision 0.948198 [0.916667,0.833333,1,1,1,1] precision 0.952059 [0.916667,0.857143,1,1,1,1] precision 1 [1,1,1,1,1,1] precision 1 [1,1,1,1,1,1] precision 0.976834 [1,0.857143,1,1,1,1] precision 0.977477 [1,1,1,1,0.833333,1] 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 0.977477 [1,1,1,0.833333,1,1] precision 0.976834 [1,0.857143,1,1,1,1] precision 0.954311 [1,0.857143,1,1,0.833333,1] precision 0.945946 [1,0.666667,1,1,1,1] precision 0.948198 [0.916667,1,1,1,1,0.5] precision 1 [1,1,1,1,1,1] precision 0.915766 [0.916667,0.8,1,0.8,1,1] precision 1 [1,1,1,1,1,1] precision 1 [1,1,1,1,1,1] precision 0.977477 [1,1,1,1,0.833333,1] precision 0.975052 [0.923077,1,1,1,1,1] precision 0.977477 [1,1,1,0.833333,1,1] precision 0.981982 [1,1,1,1,1,0.666667] precision 0.977477 [1,1,1,1,0.833333,1] precision 1 [1,1,1,1,1,1] precision 1 [1,1,1,1,1,1] precision 0.975225 [0.916667,1,1,1,1,1] precision 1 [1,1,1,1,1,1] precision 0.945946 [1,0.833333,1,0.8,1,1] precision 0.976834 [1,0.857143,1,1,1,1] precision 0.976834 [1,0.857143,1,1,1,1] precision 1 [1,1,1,1,1,1] precision 0.976834 [1,0.857143,1,1,1,1] precision 0.977477 [1,1,1,1,0.833333,1] precision 0.89527 [1,0.833333,0.875,0.8,0.833333,1] precision 0.950231 [0.916667,1,0.875,1,1,1] precision 0.97619 [1,0.857143,1,1,1,1] precision 0.874288 [0.846154,1,1,1,0.833333,0] precision 0.97619 [1,0.857143,1,1,1,1] precision 0.97619 [1,0.857143,1,1,1,1] precision 0.975694 [1,1,0.875,1,1,1] precision 0.97619 [1,0.857143,1,1,1,1] precision 1 [1,1,1,1,1,1] precision 0.950728 [0.916667,0.857143,1,1,1,1] precision 0.974537 [0.916667,1,1,1,1,1] precision 1 [1,1,1,1,1,1] precision 0.928075 [1,0.714286,0.875,1,1,1] precision 0.958333 [1,0.75,1,1,1,1] precision 0.97619 [1,0.857143,1,1,1,1] precision 0.880787 [0.916667,0.75,0.875,0.8,1,1] precision 0.97619 [1,0.857143,1,1,1,1] precision 0.958333 [1,0.75,1,1,1,1] precision 0.97619 [1,0.857143,1,1,1,1] precision 0.957176 [1,1,0.875,1,1,0.666667] precision 1 [1,1,1,1,1,1] precision 0.891204 [1,0.625,1,0.666667,1,1] precision 1 [1,1,1,1,1,1] precision 0.97619 [1,0.857143,1,1,1,1] precision 0.947917 [1,0.833333,0.875,1,1,1] precision 0.976852 [1,1,1,1,0.833333,1] precision 1 [1,1,1,1,1,1] precision 0.975694 [1,1,0.875,1,1,1] precision 0.952546 [1,1,0.875,0.833333,1,1] precision 0.944444 [1,0.833333,1,0.8,1,1] precision 0.958333 [1,0.75,1,1,1,1] precision 1 [1,1,1,1,1,1] precision 1 [1,1,1,1,1,1] precision 0.976852 [1,1,1,0.833333,1,1] precision 0.974537 [0.916667,1,1,1,1,1] precision 0.95679 [1,0.777778,1,1,1,1] precision 0.97619 [1,0.857143,1,1,1,1] precision 1 [1,1,1,1,1,1] precision 0.921296 [1,0.666667,1,1,0.833333,1] precision 1 [1,1,1,1,1,1] precision 1 [1,1,1,1,1,1] predictive_accuracy 0.972973 predictive_accuracy 1 predictive_accuracy 0.945946 predictive_accuracy 0.945946 predictive_accuracy 0.972973 predictive_accuracy 0.972973 predictive_accuracy 0.972973 predictive_accuracy 0.972973 predictive_accuracy 0.945946 predictive_accuracy 0.972973 predictive_accuracy 0.945946 predictive_accuracy 0.972973 predictive_accuracy 0.972973 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 0.945946 predictive_accuracy 0.972973 predictive_accuracy 0.945946 predictive_accuracy 0.972973 predictive_accuracy 0.972973 predictive_accuracy 0.945946 predictive_accuracy 0.945946 predictive_accuracy 0.972973 predictive_accuracy 0.972973 predictive_accuracy 1 predictive_accuracy 0.945946 predictive_accuracy 0.945946 predictive_accuracy 0.945946 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 0.972973 predictive_accuracy 0.972973 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 0.972973 predictive_accuracy 0.972973 predictive_accuracy 0.945946 predictive_accuracy 0.918919 predictive_accuracy 0.945946 predictive_accuracy 1 predictive_accuracy 0.918919 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 0.972973 predictive_accuracy 0.972973 predictive_accuracy 0.972973 predictive_accuracy 0.972973 predictive_accuracy 0.972973 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 0.972973 predictive_accuracy 1 predictive_accuracy 0.945946 predictive_accuracy 0.972973 predictive_accuracy 0.972973 predictive_accuracy 1 predictive_accuracy 0.972973 predictive_accuracy 0.972973 predictive_accuracy 0.891892 predictive_accuracy 0.944444 predictive_accuracy 0.972222 predictive_accuracy 0.916667 predictive_accuracy 0.972222 predictive_accuracy 0.972222 predictive_accuracy 0.972222 predictive_accuracy 0.972222 predictive_accuracy 1 predictive_accuracy 0.944444 predictive_accuracy 0.972222 predictive_accuracy 1 predictive_accuracy 0.916667 predictive_accuracy 0.944444 predictive_accuracy 0.972222 predictive_accuracy 0.888889 predictive_accuracy 0.972222 predictive_accuracy 0.944444 predictive_accuracy 0.972222 predictive_accuracy 0.944444 predictive_accuracy 1 predictive_accuracy 0.888889 predictive_accuracy 1 predictive_accuracy 0.972222 predictive_accuracy 0.944444 predictive_accuracy 0.972222 predictive_accuracy 1 predictive_accuracy 0.972222 predictive_accuracy 0.944444 predictive_accuracy 0.944444 predictive_accuracy 0.944444 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 0.972222 predictive_accuracy 0.972222 predictive_accuracy 0.944444 predictive_accuracy 0.972222 predictive_accuracy 1 predictive_accuracy 0.888889 predictive_accuracy 1 predictive_accuracy 1 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 0.972973 [1,1,1,0.8,1,1] recall 1 [1,1,1,1,1,1] recall 0.945946 [1,1,1,0.8,0.833333,1] recall 0.945946 [1,1,1,0.8,1,0.5] recall 0.972973 [1,1,1,1,1,0.5] recall 0.972973 [1,1,1,1,1,0.5] recall 0.972973 [1,1,1,1,1,0.5] recall 0.972973 [1,0.833333,1,1,1,1] recall 0.945946 [1,1,1,0.8,0.8,1] recall 0.972973 [1,1,1,0.8,1,1] recall 0.945946 [1,0.833333,1,0.8,1,1] recall 0.972973 [1,1,1,0.8,1,1] recall 0.972973 [1,0.833333,1,1,1,1] 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 0.972973 [1,1,1,1,0.8,1] recall 0.945946 [1,0.833333,1,0.8,1,1] recall 0.972973 [1,0.833333,1,1,1,1] recall 0.972973 [1,1,1,0.8,1,1] recall 0.945946 [1,1,1,1,1,0] recall 0.945946 [1,1,1,1,0.8,0.5] recall 0.972973 [1,1,1,0.8,1,1] recall 0.972973 [1,0.833333,1,1,1,1] recall 1 [1,1,1,1,1,1] recall 0.945946 [1,1,1,0.8,1,0.5] recall 0.945946 [1,0.833333,1,0.8,1,1] recall 0.945946 [1,1,1,0.8,1,0.5] recall 1 [1,1,1,1,1,1] recall 1 [1,1,1,1,1,1] recall 0.972973 [1,1,1,0.8,1,1] 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 0.972973 [1,0.833333,1,1,1,1] recall 0.972973 [1,1,1,0.8,1,1] recall 0.945946 [1,1,1,0.8,1,0.5] recall 0.918919 [1,1,1,0.4,1,1] recall 0.945946 [1,1,1,1,0.833333,0.5] recall 1 [1,1,1,1,1,1] recall 0.918919 [1,0.666667,1,0.8,1,1] recall 1 [1,1,1,1,1,1] recall 1 [1,1,1,1,1,1] recall 0.972973 [1,1,1,1,1,0.5] recall 0.972973 [1,0.857143,1,1,1,1] recall 0.972973 [1,0.833333,1,1,1,1] recall 0.972973 [1,1,1,1,0.833333,1] 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 0.972973 [1,1,1,1,1,0.5] recall 1 [1,1,1,1,1,1] recall 0.945946 [1,0.833333,1,0.8,1,1] recall 0.972973 [1,1,1,0.8,1,1] recall 0.972973 [1,1,1,0.8,1,1] recall 1 [1,1,1,1,1,1] recall 0.972973 [1,1,1,0.8,1,1] recall 0.972973 [1,1,1,1,1,0.5] recall 0.891892 [1,0.714286,1,0.8,1,0.5] recall 0.944444 [1,0.666667,1,1,1,1] recall 0.972222 [1,1,1,0.8,1,1] recall 0.916667 [1,0.833333,1,1,1,0] recall 0.972222 [1,1,1,0.8,1,1] recall 0.972222 [1,1,1,0.8,1,1] recall 0.972222 [1,0.833333,1,1,1,1] recall 0.972222 [1,1,1,0.8,1,1] recall 1 [1,1,1,1,1,1] recall 0.944444 [1,1,1,0.75,1,0.5] recall 0.972222 [1,0.833333,1,1,1,1] recall 1 [1,1,1,1,1,1] recall 0.916667 [1,0.833333,1,0.6,1,1] recall 0.944444 [1,1,1,0.6,1,1] recall 0.972222 [1,1,1,0.8,1,1] recall 0.888889 [1,0.5,1,0.8,1,1] recall 0.972222 [1,1,1,0.8,1,1] recall 0.944444 [1,1,1,0.6,1,1] recall 0.972222 [1,1,1,0.8,1,1] recall 0.944444 [1,0.666667,1,1,1,1] recall 1 [1,1,1,1,1,1] recall 0.888889 [1,0.833333,1,0.4,1,1] recall 1 [1,1,1,1,1,1] recall 0.972222 [1,1,1,0.8,1,1] recall 0.944444 [1,0.833333,1,0.8,1,1] recall 0.972222 [1,1,1,1,1,0.5] recall 1 [1,1,1,1,1,1] recall 0.972222 [1,0.833333,1,1,1,1] recall 0.944444 [1,0.666667,1,1,1,1] recall 0.944444 [1,0.833333,1,0.8,1,1] recall 0.944444 [1,1,1,0.6,1,1] recall 1 [1,1,1,1,1,1] recall 1 [1,1,1,1,1,1] recall 0.972222 [1,0.833333,1,1,1,1] recall 0.972222 [1,0.833333,1,1,1,1] recall 0.944444 [1,1,1,0.5,1,1] recall 0.972222 [1,1,1,0.8,1,1] recall 1 [1,1,1,1,1,1] recall 0.888889 [1,1,1,0.4,1,0.5] recall 1 [1,1,1,1,1,1] recall 1 [1,1,1,1,1,1] relative_absolute_error 0.203628 relative_absolute_error 0.225466 relative_absolute_error 0.246177 relative_absolute_error 0.266471 relative_absolute_error 0.183912 relative_absolute_error 0.207882 relative_absolute_error 0.208242 relative_absolute_error 0.18956 relative_absolute_error 0.22539 relative_absolute_error 0.208173 relative_absolute_error 0.219972 relative_absolute_error 0.24992 relative_absolute_error 0.181555 relative_absolute_error 0.202351 relative_absolute_error 0.182436 relative_absolute_error 0.225921 relative_absolute_error 0.222278 relative_absolute_error 0.210144 relative_absolute_error 0.199842 relative_absolute_error 0.22676 relative_absolute_error 0.248434 relative_absolute_error 0.260307 relative_absolute_error 0.278215 relative_absolute_error 0.240961 relative_absolute_error 0.213907 relative_absolute_error 0.229795 relative_absolute_error 0.229584 relative_absolute_error 0.218282 relative_absolute_error 0.189029 relative_absolute_error 0.214453 relative_absolute_error 0.235541 relative_absolute_error 0.187794 relative_absolute_error 0.180702 relative_absolute_error 0.220177 relative_absolute_error 0.234124 relative_absolute_error 0.203729 relative_absolute_error 0.174425 relative_absolute_error 0.24165 relative_absolute_error 0.231415 relative_absolute_error 0.227859 relative_absolute_error 0.229539 relative_absolute_error 0.253524 relative_absolute_error 0.155812 relative_absolute_error 0.236937 relative_absolute_error 0.229007 relative_absolute_error 0.224351 relative_absolute_error 0.212513 relative_absolute_error 0.199354 relative_absolute_error 0.1788 relative_absolute_error 0.180057 relative_absolute_error 0.212423 relative_absolute_error 0.169499 relative_absolute_error 0.215439 relative_absolute_error 0.238418 relative_absolute_error 0.220189 relative_absolute_error 0.23136 relative_absolute_error 0.202997 relative_absolute_error 0.219268 relative_absolute_error 0.186676 relative_absolute_error 0.258013 relative_absolute_error 0.230963 relative_absolute_error 0.207443 relative_absolute_error 0.21853 relative_absolute_error 0.240492 relative_absolute_error 0.289369 relative_absolute_error 0.252721 relative_absolute_error 0.22448 relative_absolute_error 0.193023 relative_absolute_error 0.253544 relative_absolute_error 0.201143 relative_absolute_error 0.217584 relative_absolute_error 0.213353 relative_absolute_error 0.232867 relative_absolute_error 0.20884 relative_absolute_error 0.273537 relative_absolute_error 0.212596 relative_absolute_error 0.211011 relative_absolute_error 0.212269 relative_absolute_error 0.236403 relative_absolute_error 0.222896 relative_absolute_error 0.258526 relative_absolute_error 0.194052 relative_absolute_error 0.211683 relative_absolute_error 0.221299 relative_absolute_error 0.23417 relative_absolute_error 0.221179 relative_absolute_error 0.178016 relative_absolute_error 0.261143 relative_absolute_error 0.225827 relative_absolute_error 0.1966 relative_absolute_error 0.197084 relative_absolute_error 0.179973 relative_absolute_error 0.214008 relative_absolute_error 0.249449 relative_absolute_error 0.221171 relative_absolute_error 0.191179 relative_absolute_error 0.23249 relative_absolute_error 0.226367 relative_absolute_error 0.229999 relative_absolute_error 0.212984 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 0.119659 root_mean_squared_error 0.126232 root_mean_squared_error 0.141486 root_mean_squared_error 0.152508 root_mean_squared_error 0.108687 root_mean_squared_error 0.120471 root_mean_squared_error 0.119511 root_mean_squared_error 0.10209 root_mean_squared_error 0.12918 root_mean_squared_error 0.124825 root_mean_squared_error 0.129163 root_mean_squared_error 0.140626 root_mean_squared_error 0.102696 root_mean_squared_error 0.111276 root_mean_squared_error 0.094617 root_mean_squared_error 0.136876 root_mean_squared_error 0.131644 root_mean_squared_error 0.130245 root_mean_squared_error 0.116588 root_mean_squared_error 0.138845 root_mean_squared_error 0.137297 root_mean_squared_error 0.141594 root_mean_squared_error 0.147931 root_mean_squared_error 0.137742 root_mean_squared_error 0.117843 root_mean_squared_error 0.130115 root_mean_squared_error 0.132742 root_mean_squared_error 0.134414 root_mean_squared_error 0.108605 root_mean_squared_error 0.113294 root_mean_squared_error 0.124114 root_mean_squared_error 0.112497 root_mean_squared_error 0.104944 root_mean_squared_error 0.121122 root_mean_squared_error 0.125648 root_mean_squared_error 0.119028 root_mean_squared_error 0.103342 root_mean_squared_error 0.137872 root_mean_squared_error 0.140605 root_mean_squared_error 0.137475 root_mean_squared_error 0.122948 root_mean_squared_error 0.154454 root_mean_squared_error 0.090276 root_mean_squared_error 0.121002 root_mean_squared_error 0.123177 root_mean_squared_error 0.127907 root_mean_squared_error 0.123614 root_mean_squared_error 0.116307 root_mean_squared_error 0.109084 root_mean_squared_error 0.098161 root_mean_squared_error 0.11605 root_mean_squared_error 0.104658 root_mean_squared_error 0.125398 root_mean_squared_error 0.13334 root_mean_squared_error 0.125716 root_mean_squared_error 0.127703 root_mean_squared_error 0.105909 root_mean_squared_error 0.124927 root_mean_squared_error 0.106452 root_mean_squared_error 0.148467 root_mean_squared_error 0.13414 root_mean_squared_error 0.124351 root_mean_squared_error 0.136591 root_mean_squared_error 0.134085 root_mean_squared_error 0.149043 root_mean_squared_error 0.138738 root_mean_squared_error 0.124325 root_mean_squared_error 0.109909 root_mean_squared_error 0.14207 root_mean_squared_error 0.124258 root_mean_squared_error 0.118778 root_mean_squared_error 0.140101 root_mean_squared_error 0.133119 root_mean_squared_error 0.119777 root_mean_squared_error 0.160647 root_mean_squared_error 0.121633 root_mean_squared_error 0.132678 root_mean_squared_error 0.118466 root_mean_squared_error 0.139864 root_mean_squared_error 0.117079 root_mean_squared_error 0.154133 root_mean_squared_error 0.100812 root_mean_squared_error 0.124158 root_mean_squared_error 0.135944 root_mean_squared_error 0.127353 root_mean_squared_error 0.122509 root_mean_squared_error 0.109541 root_mean_squared_error 0.14551 root_mean_squared_error 0.130077 root_mean_squared_error 0.121032 root_mean_squared_error 0.106316 root_mean_squared_error 0.10267 root_mean_squared_error 0.126309 root_mean_squared_error 0.137254 root_mean_squared_error 0.128358 root_mean_squared_error 0.108983 root_mean_squared_error 0.133713 root_mean_squared_error 0.142119 root_mean_squared_error 0.11926 root_mean_squared_error 0.106009 root_relative_squared_error 0.327177 root_relative_squared_error 0.347042 root_relative_squared_error 0.38686 root_relative_squared_error 0.419279 root_relative_squared_error 0.297718 root_relative_squared_error 0.329997 root_relative_squared_error 0.328925 root_relative_squared_error 0.280669 root_relative_squared_error 0.355146 root_relative_squared_error 0.343172 root_relative_squared_error 0.353806 root_relative_squared_error 0.386613 root_relative_squared_error 0.280799 root_relative_squared_error 0.306261 root_relative_squared_error 0.259178 root_relative_squared_error 0.374933 root_relative_squared_error 0.361918 root_relative_squared_error 0.358072 root_relative_squared_error 0.320526 root_relative_squared_error 0.381717 root_relative_squared_error 0.376088 root_relative_squared_error 0.387857 root_relative_squared_error 0.406698 root_relative_squared_error 0.377306 root_relative_squared_error 0.322214 root_relative_squared_error 0.355766 root_relative_squared_error 0.362951 root_relative_squared_error 0.368189 root_relative_squared_error 0.296955 root_relative_squared_error 0.310337 root_relative_squared_error 0.341219 root_relative_squared_error 0.308154 root_relative_squared_error 0.289126 root_relative_squared_error 0.331781 root_relative_squared_error 0.343555 root_relative_squared_error 0.325454 root_relative_squared_error 0.282563 root_relative_squared_error 0.377662 root_relative_squared_error 0.38445 root_relative_squared_error 0.376677 root_relative_squared_error 0.338012 root_relative_squared_error 0.422318 root_relative_squared_error 0.247285 root_relative_squared_error 0.33085 root_relative_squared_error 0.338641 root_relative_squared_error 0.352032 root_relative_squared_error 0.338607 root_relative_squared_error 0.318012 root_relative_squared_error 0.298508 root_relative_squared_error 0.268398 root_relative_squared_error 0.317571 root_relative_squared_error 0.286163 root_relative_squared_error 0.343151 root_relative_squared_error 0.364587 root_relative_squared_error 0.345622 root_relative_squared_error 0.351084 root_relative_squared_error 0.290108 root_relative_squared_error 0.341583 root_relative_squared_error 0.291595 root_relative_squared_error 0.406278 root_relative_squared_error 0.367491 root_relative_squared_error 0.340671 root_relative_squared_error 0.374204 root_relative_squared_error 0.367341 root_relative_squared_error 0.40832 root_relative_squared_error 0.380088 root_relative_squared_error 0.340601 root_relative_squared_error 0.301444 root_relative_squared_error 0.390053 root_relative_squared_error 0.340417 root_relative_squared_error 0.325404 root_relative_squared_error 0.383821 root_relative_squared_error 0.364692 root_relative_squared_error 0.328142 root_relative_squared_error 0.44011 root_relative_squared_error 0.333225 root_relative_squared_error 0.363484 root_relative_squared_error 0.324551 root_relative_squared_error 0.383171 root_relative_squared_error 0.320748 root_relative_squared_error 0.422262 root_relative_squared_error 0.276185 root_relative_squared_error 0.340144 root_relative_squared_error 0.372433 root_relative_squared_error 0.348897 root_relative_squared_error 0.335625 root_relative_squared_error 0.3001 root_relative_squared_error 0.398639 root_relative_squared_error 0.356358 root_relative_squared_error 0.331579 root_relative_squared_error 0.291345 root_relative_squared_error 0.281592 root_relative_squared_error 0.346036 root_relative_squared_error 0.376022 root_relative_squared_error 0.352045 root_relative_squared_error 0.298569 root_relative_squared_error 0.36632 root_relative_squared_error 0.38935 root_relative_squared_error 0.326725 root_relative_squared_error 0.290423 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 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 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 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 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 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 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 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 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 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 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 100 usercpu_time_millis_training 100 usercpu_time_millis_training 100 usercpu_time_millis_training 90 usercpu_time_millis_training 100 usercpu_time_millis_training 100 usercpu_time_millis_training 100 usercpu_time_millis_training 100 usercpu_time_millis_training 100 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 100 usercpu_time_millis_training 100 usercpu_time_millis_training 100 usercpu_time_millis_training 100 usercpu_time_millis_training 90 usercpu_time_millis_training 100 usercpu_time_millis_training 100 usercpu_time_millis_training 90 usercpu_time_millis_training 100 usercpu_time_millis_training 100 usercpu_time_millis_training 100 usercpu_time_millis_training 100 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 100 usercpu_time_millis_training 100 usercpu_time_millis_training 90 usercpu_time_millis_training 100 usercpu_time_millis_training 100 usercpu_time_millis_training 100 usercpu_time_millis_training 100 usercpu_time_millis_training 100 usercpu_time_millis_training 100 usercpu_time_millis_training 100 usercpu_time_millis_training 100 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 100 usercpu_time_millis_training 100 usercpu_time_millis_training 100 usercpu_time_millis_training 100 usercpu_time_millis_training 90 usercpu_time_millis_training 100 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 100 usercpu_time_millis_training 100 usercpu_time_millis_training 100 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 100 usercpu_time_millis_training 90 usercpu_time_millis_training 100 usercpu_time_millis_training 100 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 100 usercpu_time_millis_training 100 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 100 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 100 usercpu_time_millis_training 100 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 100 usercpu_time_millis_training 90 usercpu_time_millis_training 100 usercpu_time_millis_training 100 usercpu_time_millis_training 100 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 100 usercpu_time_millis_training 90 usercpu_time_millis_training 100 usercpu_time_millis_training 90 usercpu_time_millis_training 100 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 100 usercpu_time_millis_training 90 usercpu_time_millis_training 100 usercpu_time_millis_training 100 usercpu_time_millis_training 90 usercpu_time_millis_training 100 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90