440049 2 Joaquin Vanschoren 1889 Supervised Classification predictive_accuracy 1079 weka.RandomForest(5) 1849 weka.classifiers.trees.RandomForest -- -I 100 -K 0 -S 1 -num-slots 1 I 100 1079 K 0 1079 S 1 1079 num-slots 1 1079 weka weka_3.7.12 9 autos https://www.openml.org/data/download/9/dataset_9_autos.arff -1 1539905 description https://api.openml.org/data/download/1539905/weka_generated_run2870767135627886413.xml -1 1539907 model_readable https://api.openml.org/data/download/1539907/WekaModel_weka.classifiers.trees.RandomForest8215402674098741516.model -1 1539906 model_serialized https://api.openml.org/data/download/1539906/WekaSerialized_weka.classifiers.trees.RandomForest2903379237590537137.model -1 1539908 predictions https://api.openml.org/data/download/1539908/weka_generated_predictions7844997440264026537.arff area_under_roc_curve 0.957201 [0.0,0.998804,0.960164,0.964349,0.927027,0.960446,0.988932] average_cost 0 f_measure 0.834295 [0,0.8,0.812785,0.874541,0.805505,0.814815,0.836431] kappa 0.784441 kb_relative_information_score 1387.85274 mean_absolute_error 0.095429 mean_prior_absolute_error 0.220919 number_of_instances 2050 [0,30,220,670,540,320,270] os_information [Oracle Corporation, 1.8.0_45, amd64, Linux, 2.6.32-504.8.1.el6.x86_64] precision 0.835375 [0,1,0.816514,0.860029,0.798182,0.840532,0.839552] predictive_accuracy 0.834634 prior_entropy 2.326811 recall 0.834634 [0,0.666667,0.809091,0.889552,0.812963,0.790625,0.833333] relative_absolute_error 0.431962 root_mean_prior_squared_error 0.331758 root_mean_squared_error 0.195806 root_relative_squared_error 0.590208 scimark_benchmark 1051.249013 [708.1772627393548, 995.3280053932883, 503.63125673996535, 1161.985793989865, 1887.1227479440583] total_cost 0 usercpu_time_millis 80 usercpu_time_millis_testing 10 usercpu_time_millis_training 70 area_under_roc_curve 0.976521 [0.0,0.0,1,1,0.9125,1,0.981481] area_under_roc_curve 0.980952 [0.0,1,1,1,0.933333,1,1] 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[0,0,1,0.833333,0.8,0.8,0.857143] f_measure 0.830844 [0,0,0.5,0.857143,0.909091,0.857143,1] f_measure 0.898571 [0,0,1,1,0.833333,0.8,0.857143] f_measure 0.747376 [0,0,0.666667,0.875,0.545455,0.857143,0.666667] f_measure 0.788571 [0,0,0.8,0.833333,0.6,1,0.857143] f_measure 0.796007 [0,0,0.666667,0.769231,0.833333,0.8,0.857143] f_measure 0.946667 [0,0,1,0.933333,1,0.8,1] f_measure 0.784661 [0,0,0.857143,0.666667,0.923077,0.75,0.666667] f_measure 0.9 [0,0,1,1,0.8,0.8,0.8] f_measure 0.848485 [0,0,0.666667,1,0.727273,1,0.666667] kappa 0.87574 kappa 0.937685 kappa 0.622754 kappa 0.93787 kappa 0.871166 kappa 0.874627 kappa 0.874627 kappa 0.677914 kappa 0.871951 kappa 0.677914 kappa 0.808511 kappa 0.759312 kappa 0.747748 kappa 0.814706 kappa 0.749254 kappa 0.670846 kappa 0.690265 kappa 0.873874 kappa 0.817391 kappa 0.871951 kappa 0.813056 kappa 0.820513 kappa 0.88102 kappa 0.8125 kappa 0.82 kappa 0.694767 kappa 0.814706 kappa 0.686567 kappa 1 kappa 0.878963 kappa 0.749254 kappa 0.688427 kappa 0.814159 kappa 0.939306 kappa 0.8125 kappa 0.697406 kappa 0.701705 kappa 0.752212 kappa 0.52 kappa 0.937685 kappa 0.813056 kappa 0.814706 kappa 0.818444 kappa 0.878261 kappa 0.568915 kappa 0.749254 kappa 0.82 kappa 0.683735 kappa 0.877193 kappa 0.76 kappa 0.738562 kappa 0.934641 kappa 0.726027 kappa 0.60396 kappa 0.86711 kappa 0.800664 kappa 0.869281 kappa 0.678457 kappa 0.601329 kappa 0.803922 kappa 0.602649 kappa 0.802632 kappa 0.87013 kappa 0.738562 kappa 0.870968 kappa 0.731544 kappa 0.868421 kappa 0.80456 kappa 0.800664 kappa 0.807074 kappa 0.87055 kappa 0.616613 kappa 0.87055 kappa 0.735974 kappa 0.6 kappa 0.738562 kappa 0.594595 kappa 0.807692 kappa 0.867987 kappa 0.669967 kappa 0.87055 kappa 0.865772 kappa 0.594595 kappa 0.732441 kappa 0.866667 kappa 0.749216 kappa 0.798658 kappa 0.677419 kappa 0.802632 kappa 0.870968 kappa 0.807692 kappa 0.801325 kappa 0.869281 kappa 0.656357 kappa 0.744409 kappa 0.735099 kappa 0.933333 kappa 0.742765 kappa 0.868852 kappa 0.800664 kb_relative_information_score 15.518252 kb_relative_information_score 15.673837 kb_relative_information_score 11.018325 kb_relative_information_score 16.179429 kb_relative_information_score 13.479025 kb_relative_information_score 15.226488 kb_relative_information_score 14.185028 kb_relative_information_score 12.104282 kb_relative_information_score 15.851157 kb_relative_information_score 11.879047 kb_relative_information_score 13.657878 kb_relative_information_score 14.500749 kb_relative_information_score 13.959327 kb_relative_information_score 14.873094 kb_relative_information_score 12.855622 kb_relative_information_score 11.673708 kb_relative_information_score 12.038737 kb_relative_information_score 14.803549 kb_relative_information_score 13.909881 kb_relative_information_score 14.603926 kb_relative_information_score 15.430135 kb_relative_information_score 15.465011 kb_relative_information_score 16.495219 kb_relative_information_score 15.016643 kb_relative_information_score 15.383546 kb_relative_information_score 13.613816 kb_relative_information_score 16.400145 kb_relative_information_score 14.84177 kb_relative_information_score 18.005434 kb_relative_information_score 14.914799 kb_relative_information_score 14.181288 kb_relative_information_score 13.175525 kb_relative_information_score 15.200017 kb_relative_information_score 16.221705 kb_relative_information_score 14.855173 kb_relative_information_score 13.719203 kb_relative_information_score 13.200753 kb_relative_information_score 14.292557 kb_relative_information_score 12.460894 kb_relative_information_score 17.735559 kb_relative_information_score 14.306177 kb_relative_information_score 13.854383 kb_relative_information_score 16.188658 kb_relative_information_score 17.011766 kb_relative_information_score 13.131574 kb_relative_information_score 15.12581 kb_relative_information_score 15.56666 kb_relative_information_score 14.834532 kb_relative_information_score 16.135403 kb_relative_information_score 14.882644 kb_relative_information_score 12.952945 kb_relative_information_score 14.906316 kb_relative_information_score 12.333824 kb_relative_information_score 10.793036 kb_relative_information_score 14.227267 kb_relative_information_score 13.503738 kb_relative_information_score 14.064204 kb_relative_information_score 12.519869 kb_relative_information_score 10.761231 kb_relative_information_score 12.694365 kb_relative_information_score 10.569553 kb_relative_information_score 13.985639 kb_relative_information_score 13.403015 kb_relative_information_score 12.527856 kb_relative_information_score 13.804583 kb_relative_information_score 13.494834 kb_relative_information_score 12.975143 kb_relative_information_score 13.362579 kb_relative_information_score 12.521447 kb_relative_information_score 13.423397 kb_relative_information_score 15.042666 kb_relative_information_score 11.600203 kb_relative_information_score 15.306113 kb_relative_information_score 11.202567 kb_relative_information_score 11.993763 kb_relative_information_score 12.928564 kb_relative_information_score 11.367215 kb_relative_information_score 13.580641 kb_relative_information_score 12.658754 kb_relative_information_score 12.358455 kb_relative_information_score 14.227478 kb_relative_information_score 13.728896 kb_relative_information_score 11.434285 kb_relative_information_score 13.963238 kb_relative_information_score 14.75732 kb_relative_information_score 13.787904 kb_relative_information_score 13.295469 kb_relative_information_score 13.044514 kb_relative_information_score 13.352021 kb_relative_information_score 14.546056 kb_relative_information_score 12.971555 kb_relative_information_score 13.577422 kb_relative_information_score 13.46555 kb_relative_information_score 11.820657 kb_relative_information_score 13.014958 kb_relative_information_score 13.041351 kb_relative_information_score 15.147161 kb_relative_information_score 14.017885 kb_relative_information_score 14.960592 kb_relative_information_score 13.196504 mean_absolute_error 0.079361 mean_absolute_error 0.088756 mean_absolute_error 0.124753 mean_absolute_error 0.069823 mean_absolute_error 0.0986 mean_absolute_error 0.077553 mean_absolute_error 0.090771 mean_absolute_error 0.108962 mean_absolute_error 0.066022 mean_absolute_error 0.111495 mean_absolute_error 0.095543 mean_absolute_error 0.107304 mean_absolute_error 0.091924 mean_absolute_error 0.084688 mean_absolute_error 0.106036 mean_absolute_error 0.111669 mean_absolute_error 0.114594 mean_absolute_error 0.08303 mean_absolute_error 0.096 mean_absolute_error 0.077217 mean_absolute_error 0.087088 mean_absolute_error 0.097608 mean_absolute_error 0.085504 mean_absolute_error 0.095068 mean_absolute_error 0.091092 mean_absolute_error 0.110854 mean_absolute_error 0.085207 mean_absolute_error 0.095143 mean_absolute_error 0.064805 mean_absolute_error 0.097744 mean_absolute_error 0.098123 mean_absolute_error 0.103204 mean_absolute_error 0.094744 mean_absolute_error 0.088245 mean_absolute_error 0.095845 mean_absolute_error 0.118419 mean_absolute_error 0.126341 mean_absolute_error 0.110264 mean_absolute_error 0.131035 mean_absolute_error 0.060604 mean_absolute_error 0.104188 mean_absolute_error 0.101997 mean_absolute_error 0.082777 mean_absolute_error 0.077442 mean_absolute_error 0.121099 mean_absolute_error 0.095339 mean_absolute_error 0.09491 mean_absolute_error 0.098144 mean_absolute_error 0.084708 mean_absolute_error 0.100171 mean_absolute_error 0.10288 mean_absolute_error 0.075732 mean_absolute_error 0.104445 mean_absolute_error 0.124088 mean_absolute_error 0.080199 mean_absolute_error 0.090349 mean_absolute_error 0.085818 mean_absolute_error 0.10485 mean_absolute_error 0.118839 mean_absolute_error 0.104401 mean_absolute_error 0.122776 mean_absolute_error 0.080954 mean_absolute_error 0.095517 mean_absolute_error 0.101641 mean_absolute_error 0.0933 mean_absolute_error 0.080372 mean_absolute_error 0.094872 mean_absolute_error 0.091515 mean_absolute_error 0.103057 mean_absolute_error 0.10399 mean_absolute_error 0.069756 mean_absolute_error 0.111585 mean_absolute_error 0.071495 mean_absolute_error 0.116177 mean_absolute_error 0.110744 mean_absolute_error 0.103526 mean_absolute_error 0.107796 mean_absolute_error 0.093657 mean_absolute_error 0.100144 mean_absolute_error 0.111954 mean_absolute_error 0.089853 mean_absolute_error 0.084887 mean_absolute_error 0.112727 mean_absolute_error 0.084265 mean_absolute_error 0.073184 mean_absolute_error 0.093597 mean_absolute_error 0.091917 mean_absolute_error 0.094654 mean_absolute_error 0.095194 mean_absolute_error 0.075893 mean_absolute_error 0.10658 mean_absolute_error 0.08345 mean_absolute_error 0.090429 mean_absolute_error 0.108299 mean_absolute_error 0.099891 mean_absolute_error 0.098342 mean_absolute_error 0.067295 mean_absolute_error 0.087115 mean_absolute_error 0.073146 mean_absolute_error 0.093376 mean_prior_absolute_error 0.221345 mean_prior_absolute_error 0.220832 mean_prior_absolute_error 0.219291 mean_prior_absolute_error 0.221345 mean_prior_absolute_error 0.218971 mean_prior_absolute_error 0.219291 mean_prior_absolute_error 0.219612 mean_prior_absolute_error 0.218971 mean_prior_absolute_error 0.218971 mean_prior_absolute_error 0.219291 mean_prior_absolute_error 0.219291 mean_prior_absolute_error 0.223399 mean_prior_absolute_error 0.219291 mean_prior_absolute_error 0.221345 mean_prior_absolute_error 0.221024 mean_prior_absolute_error 0.219291 mean_prior_absolute_error 0.221859 mean_prior_absolute_error 0.220703 mean_prior_absolute_error 0.221538 mean_prior_absolute_error 0.219291 mean_prior_absolute_error 0.220832 mean_prior_absolute_error 0.223399 mean_prior_absolute_error 0.222564 mean_prior_absolute_error 0.222564 mean_prior_absolute_error 0.222885 mean_prior_absolute_error 0.220832 mean_prior_absolute_error 0.223078 mean_prior_absolute_error 0.222564 mean_prior_absolute_error 0.223399 mean_prior_absolute_error 0.220832 mean_prior_absolute_error 0.220832 mean_prior_absolute_error 0.221538 mean_prior_absolute_error 0.222564 mean_prior_absolute_error 0.222564 mean_prior_absolute_error 0.222564 mean_prior_absolute_error 0.222885 mean_prior_absolute_error 0.223399 mean_prior_absolute_error 0.222564 mean_prior_absolute_error 0.223399 mean_prior_absolute_error 0.220832 mean_prior_absolute_error 0.220832 mean_prior_absolute_error 0.220703 mean_prior_absolute_error 0.222885 mean_prior_absolute_error 0.223399 mean_prior_absolute_error 0.222564 mean_prior_absolute_error 0.222885 mean_prior_absolute_error 0.222564 mean_prior_absolute_error 0.222564 mean_prior_absolute_error 0.222564 mean_prior_absolute_error 0.222244 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.220013 mean_prior_absolute_error 0.220553 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.222035 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.21934 mean_prior_absolute_error 0.220553 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.222709 mean_prior_absolute_error 0.222035 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.222035 mean_prior_absolute_error 0.217857 mean_prior_absolute_error 0.220553 mean_prior_absolute_error 0.222035 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.220553 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.222709 mean_prior_absolute_error 0.222035 mean_prior_absolute_error 0.220013 mean_prior_absolute_error 0.220553 mean_prior_absolute_error 0.21934 mean_prior_absolute_error 0.220553 mean_prior_absolute_error 0.222035 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.220889 mean_prior_absolute_error 0.220013 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.222709 mean_prior_absolute_error 0.220013 mean_prior_absolute_error 0.220553 mean_prior_absolute_error 0.21934 mean_prior_absolute_error 0.220553 mean_prior_absolute_error 0.220553 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.220889 mean_prior_absolute_error 0.220013 mean_prior_absolute_error 0.219677 number_of_instances 21 [0,0,3,7,5,3,3] number_of_instances 21 [0,1,2,7,6,3,2] number_of_instances 21 [0,0,2,7,6,3,3] number_of_instances 21 [0,0,3,7,5,3,3] number_of_instances 21 [0,0,2,7,6,4,2] number_of_instances 21 [0,0,2,7,6,3,3] number_of_instances 21 [0,0,3,7,6,3,2] number_of_instances 21 [0,0,2,7,6,4,2] number_of_instances 21 [0,0,2,7,6,4,2] number_of_instances 21 [0,0,2,7,6,3,3] number_of_instances 21 [0,0,2,7,6,3,3] number_of_instances 21 [0,1,2,6,6,3,3] number_of_instances 21 [0,0,2,7,6,3,3] number_of_instances 21 [0,0,3,7,5,3,3] number_of_instances 21 [0,0,3,7,5,4,2] number_of_instances 21 [0,0,2,7,6,3,3] number_of_instances 21 [0,0,3,6,6,4,2] number_of_instances 21 [0,0,2,7,5,4,3] number_of_instances 21 [0,0,2,6,6,4,3] number_of_instances 21 [0,0,2,7,6,3,3] number_of_instances 21 [0,1,2,7,6,3,2] number_of_instances 21 [0,1,2,6,6,3,3] number_of_instances 21 [0,1,2,7,5,3,3] number_of_instances 21 [0,1,2,7,5,3,3] number_of_instances 21 [0,1,3,7,5,3,2] number_of_instances 21 [0,1,2,7,6,3,2] number_of_instances 21 [0,1,2,6,6,4,2] number_of_instances 21 [0,1,2,7,5,3,3] number_of_instances 21 [0,1,2,6,6,3,3] number_of_instances 21 [0,1,2,7,6,3,2] number_of_instances 21 [0,1,2,7,6,3,2] number_of_instances 21 [0,0,2,6,6,4,3] number_of_instances 21 [0,1,2,7,5,3,3] number_of_instances 21 [0,1,2,7,5,3,3] number_of_instances 21 [0,1,2,7,5,3,3] number_of_instances 21 [0,1,3,7,5,3,2] number_of_instances 21 [0,1,2,6,6,3,3] number_of_instances 21 [0,1,2,7,5,3,3] number_of_instances 21 [0,1,2,6,6,3,3] number_of_instances 21 [0,1,2,7,6,3,2] number_of_instances 21 [0,1,2,7,6,3,2] number_of_instances 21 [0,0,2,7,5,4,3] number_of_instances 21 [0,1,3,7,5,3,2] number_of_instances 21 [0,1,2,6,6,3,3] number_of_instances 21 [0,1,2,7,5,3,3] number_of_instances 21 [0,1,3,7,5,3,2] number_of_instances 21 [0,1,2,7,5,3,3] number_of_instances 21 [0,1,2,7,5,3,3] number_of_instances 21 [0,1,2,7,5,3,3] number_of_instances 21 [0,1,2,7,5,4,2] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,3,7,5,3,2] number_of_instances 20 [0,0,2,6,6,3,3] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,2,6,5,4,3] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,2,7,5,4,2] number_of_instances 20 [0,0,2,6,6,3,3] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,3,6,5,3,3] number_of_instances 20 [0,0,2,6,5,4,3] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,2,6,5,4,3] number_of_instances 20 [0,0,2,7,6,3,2] number_of_instances 20 [0,0,2,6,6,3,3] number_of_instances 20 [0,0,2,6,5,4,3] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,2,6,6,3,3] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,3,6,5,3,3] number_of_instances 20 [0,0,2,6,5,4,3] number_of_instances 20 [0,0,3,7,5,3,2] number_of_instances 20 [0,0,2,6,6,3,3] number_of_instances 20 [0,0,2,7,5,4,2] number_of_instances 20 [0,0,2,6,6,3,3] number_of_instances 20 [0,0,2,6,5,4,3] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,3,6,6,3,2] number_of_instances 20 [0,0,3,7,5,3,2] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,3,6,5,3,3] number_of_instances 20 [0,0,3,7,5,3,2] number_of_instances 20 [0,0,2,6,6,3,3] number_of_instances 20 [0,0,2,7,5,4,2] number_of_instances 20 [0,0,2,6,6,3,3] number_of_instances 20 [0,0,2,6,6,3,3] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,3,6,6,3,2] number_of_instances 20 [0,0,3,7,5,3,2] number_of_instances 20 [0,0,2,7,5,3,3] precision 0.922619 [0,0,1,0.875,1,1,0.75] precision 0.958333 [0,1,1,0.875,1,1,1] precision 0.748413 [0,0,0.333333,0.75,0.8,1,0.666667] precision 0.960317 [0,0,1,1,0.833333,1,1] precision 0.925926 [0,0,1,0.777778,1,1,1] precision 0.923469 [0,0,1,1,0.857143,0.75,1] precision 0.920635 [0,0,1,1,0.833333,1,0.666667] precision 0.773545 [0,0,1,0.777778,0.8,0.5,1] precision 0.911565 [0,0,1,0.857143,0.857143,1,1] precision 0.698413 [0,0,1,0.666667,0.833333,0,1] precision 0.863095 [0,0,1,0.875,0.833333,1,0.666667] precision 0.840136 [0,1,1,0.857143,1,0.666667,0.5] precision 0.82381 [0,0,1,0.75,0.8,0.75,1] precision 0.857143 [0,0,0.666667,0.857143,0.8,1,1] precision 0.847222 [0,0,1,0.875,0.666667,1,0.666667] precision 0.727273 [0,0,1,1,0.545455,0,1] precision 0.77551 [0,0,1,0.833333,1,0.571429,0] precision 0.910714 [0,0,1,0.875,0.8,1,1] precision 0.891723 [0,0,0.666667,0.857143,1,1,0.75] precision 0.928571 [0,0,1,1,0.75,1,1] precision 0.869048 [0,1,1,0.75,1,0.666667,1] precision 0.849206 [0,0,0.666667,1,1,0.75,0.75] precision 0.93254 [0,1,0.666667,1,1,0.75,1] precision 0.878307 [0,1,1,0.777778,0.8,1,1] precision 0.888889 [0,1,0.5,1,0.833333,1,1] precision 0.807937 [0,1,1,1,0.75,0.6,0.333333] precision 0.871429 [0,1,1,0.8,0.75,1,1] precision 0.776927 [0,0,0.666667,0.875,0.571429,1,1] precision 1 [0,1,1,1,1,1,1] precision 0.936508 [0,1,0.666667,1,1,1,0.666667] precision 0.833333 [0,0,0.5,1,0.75,1,1] precision 0.794218 [0,0,1,0.833333,0.571429,1,0.75] precision 0.831349 [0,0,0.666667,0.875,0.8,1,1] precision 0.964286 [0,1,1,1,1,1,0.75] precision 0.890306 [0,1,1,0.875,0.714286,1,1] precision 0.768254 [0,0,0.6,0.857143,1,0.666667,0.666667] precision 0.797619 [0,0,0.5,0.75,1,1,0.75] precision 0.803571 [0,1,1,0.875,0.8,0.75,0.5] precision 0.653741 [0,0,0.5,0.571429,1,0.5,0.6] precision 0.920635 [0,0,0.666667,1,1,1,1] precision 0.853571 [0,1,1,0.875,0.8,1,0.5] precision 0.873016 [0,0,0.666667,0.857143,0.8,1,1] precision 0.873016 [0,1,1,0.857143,1,0.666667,0.666667] precision 0.879819 [0,0,0.666667,0.857143,1,1,1] precision 0.634921 [0,0,0.666667,0.75,0.75,0.5,0.5] precision 0.830688 [0,1,1,0.777778,0.6,1,1] precision 0.876984 [0,1,0.5,1,0.833333,0.75,1] precision 0.732143 [0,1,0,0.75,0.625,1,1] precision 0.912698 [0,1,1,1,0.833333,0.666667,1] precision 0.878968 [0,1,0.666667,1,0.625,1,1] precision 0.816667 [0,0,0.5,1,0.666667,0.666667,1] precision 0.958333 [0,0,1,1,0.833333,1,1] precision 0.872727 [0,0,1,0.636364,1,1,1] precision 0.721429 [0,0,0.5,0.571429,0.833333,0.666667,1] precision 0.91875 [0,0,1,0.875,1,1,0.75] precision 0.870833 [0,0,1,0.857143,0.833333,0.75,1] precision 0.9125 [0,0,1,0.857143,1,0.75,1] precision 0.823333 [0,0,0.666667,1,0.666667,0.6,1] precision 0.734524 [0,0,0.666667,0.857143,0.571429,1,0.5] precision 0.779167 [0,0,0,1,0.666667,1,0.75] precision 0.70625 [0,0,1,0.625,0.75,0.333333,1] precision 0.85 [0,0,1,1,0.8,0.666667,0.666667] precision 0.933333 [0,0,1,1,1,0.666667,1] precision 0.8375 [0,0,0.5,0.75,1,1,0.75] precision 0.920833 [0,0,1,1,0.833333,0.75,1] precision 0.795833 [0,0,1,0.75,0.833333,0.5,1] precision 0.9125 [0,0,1,1,0.8,1,0.75] precision 0.879167 [0,0,0.666667,0.857143,1,1,0.75] precision 0.866667 [0,0,1,1,0.666667,1,0.666667] precision 0.857143 [0,0,0.75,0.857143,0.75,1,1] precision 0.918333 [0,0,1,1,0.833333,0.8,1] precision 0.753333 [0,0,0.333333,0.8,0.8,0.6,1] precision 0.907143 [0,0,1,0.857143,1,0.75,1] precision 0.812143 [0,0,1,0.8,0.857143,0.5,1] precision 0.75 [0,0,1,0.666667,0.5,1,1] precision 0.825 [0,0,1,0.75,0.75,1,0.75] precision 0.755357 [0,0,0.5,0.75,0.571429,1,1] precision 0.882143 [0,0,1,0.857143,1,0.75,0.75] precision 0.928571 [0,0,1,1,0.714286,1,1] precision 0.8 [0,0,1,0.666667,0.6,1,1] precision 0.908333 [0,0,1,0.833333,0.833333,1,1] precision 0.914583 [0,0,1,0.875,0.833333,1,1] precision 0.775 [0,0,1,1,0.5,1,0.5] precision 0.816667 [0,0,1,0.857143,0.666667,1,0.5] precision 0.914286 [0,0,1,0.857143,0.857143,1,1] precision 0.866667 [0,0,0.5,1,0.666667,1,1] precision 0.864583 [0,0,1,0.875,0.833333,0.666667,1] precision 0.755952 [0,0,0.666667,0.714286,0.75,1,0.666667] precision 0.875 [0,0,0.75,0.75,1,1,1] precision 0.925 [0,0,1,1,1,0.75,0.75] precision 0.8625 [0,0,1,0.833333,0.8,1,0.75] precision 0.870833 [0,0,1,0.857143,0.833333,0.75,1] precision 0.9125 [0,0,1,1,0.833333,1,0.75] precision 0.797222 [0,0,1,0.777778,0.5,1,1] precision 0.804167 [0,0,0.666667,0.833333,0.75,1,0.75] precision 0.826786 [0,0,1,0.714286,0.833333,1,0.75] precision 0.95625 [0,0,1,0.875,1,1,1] precision 0.859643 [0,0,0.75,1,0.857143,0.6,1] precision 0.916667 [0,0,1,1,0.8,1,0.666667] precision 0.866667 [0,0,1,1,0.666667,1,0.666667] predictive_accuracy 0.904762 predictive_accuracy 0.952381 predictive_accuracy 0.714286 predictive_accuracy 0.952381 predictive_accuracy 0.904762 predictive_accuracy 0.904762 predictive_accuracy 0.904762 predictive_accuracy 0.761905 predictive_accuracy 0.904762 predictive_accuracy 0.761905 predictive_accuracy 0.857143 predictive_accuracy 0.809524 predictive_accuracy 0.809524 predictive_accuracy 0.857143 predictive_accuracy 0.809524 predictive_accuracy 0.761905 predictive_accuracy 0.761905 predictive_accuracy 0.904762 predictive_accuracy 0.857143 predictive_accuracy 0.904762 predictive_accuracy 0.857143 predictive_accuracy 0.857143 predictive_accuracy 0.904762 predictive_accuracy 0.857143 predictive_accuracy 0.857143 predictive_accuracy 0.761905 predictive_accuracy 0.857143 predictive_accuracy 0.761905 predictive_accuracy 1 predictive_accuracy 0.904762 predictive_accuracy 0.809524 predictive_accuracy 0.761905 predictive_accuracy 0.857143 predictive_accuracy 0.952381 predictive_accuracy 0.857143 predictive_accuracy 0.761905 predictive_accuracy 0.761905 predictive_accuracy 0.809524 predictive_accuracy 0.619048 predictive_accuracy 0.952381 predictive_accuracy 0.857143 predictive_accuracy 0.857143 predictive_accuracy 0.857143 predictive_accuracy 0.904762 predictive_accuracy 0.666667 predictive_accuracy 0.809524 predictive_accuracy 0.857143 predictive_accuracy 0.761905 predictive_accuracy 0.904762 predictive_accuracy 0.809524 predictive_accuracy 0.8 predictive_accuracy 0.95 predictive_accuracy 0.8 predictive_accuracy 0.7 predictive_accuracy 0.9 predictive_accuracy 0.85 predictive_accuracy 0.9 predictive_accuracy 0.75 predictive_accuracy 0.7 predictive_accuracy 0.85 predictive_accuracy 0.7 predictive_accuracy 0.85 predictive_accuracy 0.9 predictive_accuracy 0.8 predictive_accuracy 0.9 predictive_accuracy 0.8 predictive_accuracy 0.9 predictive_accuracy 0.85 predictive_accuracy 0.85 predictive_accuracy 0.85 predictive_accuracy 0.9 predictive_accuracy 0.7 predictive_accuracy 0.9 predictive_accuracy 0.8 predictive_accuracy 0.7 predictive_accuracy 0.8 predictive_accuracy 0.7 predictive_accuracy 0.85 predictive_accuracy 0.9 predictive_accuracy 0.75 predictive_accuracy 0.9 predictive_accuracy 0.9 predictive_accuracy 0.7 predictive_accuracy 0.8 predictive_accuracy 0.9 predictive_accuracy 0.8 predictive_accuracy 0.85 predictive_accuracy 0.75 predictive_accuracy 0.85 predictive_accuracy 0.9 predictive_accuracy 0.85 predictive_accuracy 0.85 predictive_accuracy 0.9 predictive_accuracy 0.75 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.95 predictive_accuracy 0.8 predictive_accuracy 0.9 predictive_accuracy 0.85 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 recall 0.904762 [0,0,0.666667,1,0.8,1,1] recall 0.952381 [0,1,1,1,0.833333,1,1] recall 0.714286 [0,0,0.5,0.857143,0.666667,0.666667,0.666667] recall 0.952381 [0,0,1,1,1,0.666667,1] recall 0.904762 [0,0,0.5,1,0.833333,1,1] recall 0.904762 [0,0,1,0.857143,1,1,0.666667] recall 0.904762 [0,0,1,1,0.833333,0.666667,1] recall 0.761905 [0,0,1,1,0.666667,0.5,0.5] recall 0.904762 [0,0,0.5,0.857143,1,1,1] recall 0.761905 [0,0,1,0.857143,0.833333,0,1] recall 0.857143 [0,0,0.5,1,0.833333,1,0.666667] recall 0.809524 [0,1,1,1,0.666667,0.666667,0.666667] recall 0.809524 [0,0,1,0.857143,0.666667,1,0.666667] recall 0.857143 [0,0,0.666667,0.857143,0.8,1,1] recall 0.809524 [0,0,0.666667,1,0.8,0.5,1] recall 0.761905 [0,0,1,1,1,0,0.333333] recall 0.761905 [0,0,0.666667,0.833333,0.833333,1,0] recall 0.904762 [0,0,0.5,1,0.8,1,1] recall 0.857143 [0,0,1,1,0.666667,0.75,1] recall 0.904762 [0,0,1,1,1,0.333333,1] recall 0.857143 [0,1,1,0.857143,0.833333,0.666667,1] recall 0.857143 [0,0,1,0.833333,0.833333,1,1] recall 0.904762 [0,1,1,0.714286,1,1,1] recall 0.857143 [0,1,1,1,0.8,0.333333,1] recall 0.857143 [0,1,0.666667,0.714286,1,1,1] recall 0.761905 [0,1,0.5,1,0.5,1,0.5] recall 0.857143 [0,1,0.5,0.666667,1,1,1] recall 0.761905 [0,0,1,1,0.8,0.333333,0.666667] recall 1 [0,1,1,1,1,1,1] recall 0.904762 [0,1,1,0.857143,0.833333,1,1] recall 0.809524 [0,0,1,0.857143,1,0.666667,0.5] recall 0.761905 [0,0,0.5,0.833333,0.666667,0.75,1] recall 0.857143 [0,0,1,1,0.8,0.666667,1] recall 0.952381 [0,1,1,1,0.8,1,1] recall 0.857143 [0,1,1,1,1,0.333333,0.666667] recall 0.761905 [0,0,1,0.857143,0.6,0.666667,1] recall 0.761905 [0,0,1,1,0.333333,1,1] recall 0.809524 [0,1,0.5,1,0.8,1,0.333333] recall 0.619048 [0,0,0.5,0.666667,0.5,0.666667,1] recall 0.952381 [0,0,1,1,1,1,1] recall 0.857143 [0,1,1,1,0.666667,1,0.5] recall 0.857143 [0,0,1,0.857143,0.8,0.75,1] recall 0.857143 [0,1,1,0.857143,0.8,0.666667,1] recall 0.904762 [0,0,1,1,0.833333,1,1] recall 0.666667 [0,0,1,0.857143,0.6,0.666667,0.333333] recall 0.809524 [0,1,0.666667,1,0.6,1,0.5] recall 0.857143 [0,1,0.5,0.714286,1,1,1] recall 0.761905 [0,1,0,0.857143,1,0.666667,0.666667] recall 0.904762 [0,1,1,1,1,0.666667,0.666667] recall 0.809524 [0,1,1,0.571429,1,0.75,1] recall 0.8 [0,0,0.5,0.857143,0.8,0.666667,1] recall 0.95 [0,0,1,0.857143,1,1,1] recall 0.8 [0,0,0.666667,1,0.6,0.666667,1] recall 0.7 [0,0,0.5,0.666667,0.833333,0.666667,0.666667] recall 0.9 [0,0,0.5,1,0.8,1,1] recall 0.85 [0,0,0.5,0.857143,1,1,0.666667] recall 0.9 [0,0,1,0.857143,0.8,1,1] recall 0.75 [0,0,1,0.714286,0.8,1,0.333333] recall 0.7 [0,0,1,0.857143,0.8,0.333333,0.333333] recall 0.85 [0,0,0,1,0.8,1,1] recall 0.7 [0,0,1,0.714286,0.6,0.333333,1] recall 0.85 [0,0,1,1,0.8,0.666667,0.666667] recall 0.9 [0,0,1,0.714286,1,1,1] recall 0.8 [0,0,0.5,1,0.666667,0.666667,1] recall 0.9 [0,0,1,0.714286,1,1,1] recall 0.8 [0,0,1,0.857143,1,0.333333,0.666667] recall 0.9 [0,0,1,1,0.8,0.666667,1] recall 0.85 [0,0,1,0.857143,0.8,0.666667,1] recall 0.85 [0,0,0.5,1,0.8,1,0.666667] recall 0.85 [0,0,1,1,0.6,1,0.666667] recall 0.9 [0,0,0.5,0.833333,1,1,1] recall 0.7 [0,0,0.5,0.571429,0.8,1,0.666667] recall 0.9 [0,0,1,1,0.8,0.75,1] recall 0.8 [0,0,1,0.571429,1,0.666667,1] recall 0.7 [0,0,1,0.666667,0.666667,0.666667,0.666667] recall 0.8 [0,0,0.5,1,0.6,0.75,1] recall 0.7 [0,0,0.5,0.857143,0.8,0.333333,0.666667] recall 0.85 [0,0,1,1,0.5,1,1] recall 0.9 [0,0,0.5,0.857143,1,1,1] recall 0.75 [0,0,0.666667,1,0.6,0.666667,0.666667] recall 0.9 [0,0,1,0.833333,1,0.75,1] recall 0.9 [0,0,1,1,1,0.333333,1] recall 0.7 [0,0,0.5,0.833333,0.833333,0.666667,0.333333] recall 0.8 [0,0,0.5,0.857143,0.8,1,0.5] recall 0.9 [0,0,1,1,1,0.666667,0.666667] recall 0.8 [0,0,1,0.5,0.8,1,1] recall 0.85 [0,0,1,1,1,0.666667,0.333333] recall 0.75 [0,0,0.666667,0.833333,0.5,1,1] recall 0.85 [0,0,1,0.857143,0.6,1,1] recall 0.9 [0,0,1,0.857143,0.8,1,1] recall 0.85 [0,0,1,0.833333,0.8,0.666667,1] recall 0.85 [0,0,0.333333,0.857143,1,1,1] recall 0.9 [0,0,1,1,0.833333,0.666667,1] recall 0.75 [0,0,0.5,1,0.6,0.75,0.5] recall 0.8 [0,0,1,0.833333,0.5,1,1] recall 0.8 [0,0,0.5,0.833333,0.833333,0.666667,1] recall 0.95 [0,0,1,1,1,0.666667,1] recall 0.8 [0,0,1,0.5,1,1,0.5] recall 0.9 [0,0,1,1,0.8,0.666667,1] recall 0.85 [0,0,0.5,1,0.8,1,0.666667] relative_absolute_error 0.358542 relative_absolute_error 0.401915 relative_absolute_error 0.568893 relative_absolute_error 0.31545 relative_absolute_error 0.45029 relative_absolute_error 0.353654 relative_absolute_error 0.413323 relative_absolute_error 0.49761 relative_absolute_error 0.30151 relative_absolute_error 0.508433 relative_absolute_error 0.435688 relative_absolute_error 0.480324 relative_absolute_error 0.419188 relative_absolute_error 0.382607 relative_absolute_error 0.479746 relative_absolute_error 0.509228 relative_absolute_error 0.51652 relative_absolute_error 0.376208 relative_absolute_error 0.433337 relative_absolute_error 0.352119 relative_absolute_error 0.394364 relative_absolute_error 0.436923 relative_absolute_error 0.384177 relative_absolute_error 0.427147 relative_absolute_error 0.408693 relative_absolute_error 0.501982 relative_absolute_error 0.381961 relative_absolute_error 0.427485 relative_absolute_error 0.290088 relative_absolute_error 0.442616 relative_absolute_error 0.444333 relative_absolute_error 0.465853 relative_absolute_error 0.425693 relative_absolute_error 0.396492 relative_absolute_error 0.430638 relative_absolute_error 0.531302 relative_absolute_error 0.565541 relative_absolute_error 0.495425 relative_absolute_error 0.58655 relative_absolute_error 0.274434 relative_absolute_error 0.471797 relative_absolute_error 0.462145 relative_absolute_error 0.37139 relative_absolute_error 0.346655 relative_absolute_error 0.544109 relative_absolute_error 0.427748 relative_absolute_error 0.426439 relative_absolute_error 0.440969 relative_absolute_error 0.380602 relative_absolute_error 0.450725 relative_absolute_error 0.468327 relative_absolute_error 0.344743 relative_absolute_error 0.474722 relative_absolute_error 0.562625 relative_absolute_error 0.365078 relative_absolute_error 0.411281 relative_absolute_error 0.390655 relative_absolute_error 0.477293 relative_absolute_error 0.540973 relative_absolute_error 0.470201 relative_absolute_error 0.558892 relative_absolute_error 0.368515 relative_absolute_error 0.435475 relative_absolute_error 0.460846 relative_absolute_error 0.424717 relative_absolute_error 0.365863 relative_absolute_error 0.431871 relative_absolute_error 0.416588 relative_absolute_error 0.46913 relative_absolute_error 0.466931 relative_absolute_error 0.314165 relative_absolute_error 0.50795 relative_absolute_error 0.321997 relative_absolute_error 0.533272 relative_absolute_error 0.502119 relative_absolute_error 0.466258 relative_absolute_error 0.490702 relative_absolute_error 0.424648 relative_absolute_error 0.455869 relative_absolute_error 0.502692 relative_absolute_error 0.40468 relative_absolute_error 0.385826 relative_absolute_error 0.511111 relative_absolute_error 0.384176 relative_absolute_error 0.33182 relative_absolute_error 0.421542 relative_absolute_error 0.418419 relative_absolute_error 0.428512 relative_absolute_error 0.432673 relative_absolute_error 0.345478 relative_absolute_error 0.478562 relative_absolute_error 0.379295 relative_absolute_error 0.410013 relative_absolute_error 0.493749 relative_absolute_error 0.452914 relative_absolute_error 0.445888 relative_absolute_error 0.306337 relative_absolute_error 0.394384 relative_absolute_error 0.332462 relative_absolute_error 0.42506 root_mean_prior_squared_error 0.3324 root_mean_prior_squared_error 0.331627 root_mean_prior_squared_error 0.329296 root_mean_prior_squared_error 0.3324 root_mean_prior_squared_error 0.328809 root_mean_prior_squared_error 0.329296 root_mean_prior_squared_error 0.329783 root_mean_prior_squared_error 0.328809 root_mean_prior_squared_error 0.328809 root_mean_prior_squared_error 0.329296 root_mean_prior_squared_error 0.329296 root_mean_prior_squared_error 0.335475 root_mean_prior_squared_error 0.329296 root_mean_prior_squared_error 0.3324 root_mean_prior_squared_error 0.331917 root_mean_prior_squared_error 0.329296 root_mean_prior_squared_error 0.333171 root_mean_prior_squared_error 0.331433 root_mean_prior_squared_error 0.332689 root_mean_prior_squared_error 0.329296 root_mean_prior_squared_error 0.331627 root_mean_prior_squared_error 0.335475 root_mean_prior_squared_error 0.334229 root_mean_prior_squared_error 0.334229 root_mean_prior_squared_error 0.334709 root_mean_prior_squared_error 0.331627 root_mean_prior_squared_error 0.334996 root_mean_prior_squared_error 0.334229 root_mean_prior_squared_error 0.335475 root_mean_prior_squared_error 0.331627 root_mean_prior_squared_error 0.331627 root_mean_prior_squared_error 0.332689 root_mean_prior_squared_error 0.334229 root_mean_prior_squared_error 0.334229 root_mean_prior_squared_error 0.334229 root_mean_prior_squared_error 0.334709 root_mean_prior_squared_error 0.335475 root_mean_prior_squared_error 0.334229 root_mean_prior_squared_error 0.335475 root_mean_prior_squared_error 0.331627 root_mean_prior_squared_error 0.331627 root_mean_prior_squared_error 0.331433 root_mean_prior_squared_error 0.334709 root_mean_prior_squared_error 0.335475 root_mean_prior_squared_error 0.334229 root_mean_prior_squared_error 0.334709 root_mean_prior_squared_error 0.334229 root_mean_prior_squared_error 0.334229 root_mean_prior_squared_error 0.334229 root_mean_prior_squared_error 0.333749 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.330391 root_mean_prior_squared_error 0.331206 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.333436 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.329369 root_mean_prior_squared_error 0.331206 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.334445 root_mean_prior_squared_error 0.333436 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.333436 root_mean_prior_squared_error 0.327111 root_mean_prior_squared_error 0.331206 root_mean_prior_squared_error 0.333436 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.331206 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.334445 root_mean_prior_squared_error 0.333436 root_mean_prior_squared_error 0.330391 root_mean_prior_squared_error 0.331206 root_mean_prior_squared_error 0.329369 root_mean_prior_squared_error 0.331206 root_mean_prior_squared_error 0.333436 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.331714 root_mean_prior_squared_error 0.330391 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.334445 root_mean_prior_squared_error 0.330391 root_mean_prior_squared_error 0.331206 root_mean_prior_squared_error 0.329369 root_mean_prior_squared_error 0.331206 root_mean_prior_squared_error 0.331206 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.331714 root_mean_prior_squared_error 0.330391 root_mean_prior_squared_error 0.32988 root_mean_squared_error 0.166602 root_mean_squared_error 0.174978 root_mean_squared_error 0.238085 root_mean_squared_error 0.149654 root_mean_squared_error 0.194694 root_mean_squared_error 0.15794 root_mean_squared_error 0.184818 root_mean_squared_error 0.214609 root_mean_squared_error 0.141294 root_mean_squared_error 0.237833 root_mean_squared_error 0.192944 root_mean_squared_error 0.199153 root_mean_squared_error 0.18631 root_mean_squared_error 0.181674 root_mean_squared_error 0.223661 root_mean_squared_error 0.233878 root_mean_squared_error 0.218807 root_mean_squared_error 0.183317 root_mean_squared_error 0.194734 root_mean_squared_error 0.185083 root_mean_squared_error 0.175631 root_mean_squared_error 0.187501 root_mean_squared_error 0.166221 root_mean_squared_error 0.190561 root_mean_squared_error 0.198621 root_mean_squared_error 0.219149 root_mean_squared_error 0.188006 root_mean_squared_error 0.19856 root_mean_squared_error 0.133988 root_mean_squared_error 0.194622 root_mean_squared_error 0.207996 root_mean_squared_error 0.218887 root_mean_squared_error 0.201814 root_mean_squared_error 0.171652 root_mean_squared_error 0.200303 root_mean_squared_error 0.224315 root_mean_squared_error 0.232298 root_mean_squared_error 0.204933 root_mean_squared_error 0.255434 root_mean_squared_error 0.119734 root_mean_squared_error 0.211184 root_mean_squared_error 0.203556 root_mean_squared_error 0.185526 root_mean_squared_error 0.168281 root_mean_squared_error 0.226575 root_mean_squared_error 0.201001 root_mean_squared_error 0.1908 root_mean_squared_error 0.206121 root_mean_squared_error 0.171191 root_mean_squared_error 0.203854 root_mean_squared_error 0.195797 root_mean_squared_error 0.145629 root_mean_squared_error 0.206771 root_mean_squared_error 0.236468 root_mean_squared_error 0.168631 root_mean_squared_error 0.186635 root_mean_squared_error 0.170898 root_mean_squared_error 0.208228 root_mean_squared_error 0.234108 root_mean_squared_error 0.21381 root_mean_squared_error 0.243322 root_mean_squared_error 0.167405 root_mean_squared_error 0.187573 root_mean_squared_error 0.208929 root_mean_squared_error 0.179541 root_mean_squared_error 0.187506 root_mean_squared_error 0.200176 root_mean_squared_error 0.189922 root_mean_squared_error 0.190029 root_mean_squared_error 0.192371 root_mean_squared_error 0.154605 root_mean_squared_error 0.224706 root_mean_squared_error 0.154687 root_mean_squared_error 0.226118 root_mean_squared_error 0.227575 root_mean_squared_error 0.204525 root_mean_squared_error 0.235874 root_mean_squared_error 0.179758 root_mean_squared_error 0.200139 root_mean_squared_error 0.222375 root_mean_squared_error 0.172538 root_mean_squared_error 0.185475 root_mean_squared_error 0.2234 root_mean_squared_error 0.17531 root_mean_squared_error 0.149695 root_mean_squared_error 0.194544 root_mean_squared_error 0.183172 root_mean_squared_error 0.201471 root_mean_squared_error 0.19288 root_mean_squared_error 0.166976 root_mean_squared_error 0.212562 root_mean_squared_error 0.189325 root_mean_squared_error 0.193088 root_mean_squared_error 0.222767 root_mean_squared_error 0.203588 root_mean_squared_error 0.200639 root_mean_squared_error 0.143018 root_mean_squared_error 0.194961 root_mean_squared_error 0.157566 root_mean_squared_error 0.181294 root_relative_squared_error 0.501209 root_relative_squared_error 0.527635 root_relative_squared_error 0.723013 root_relative_squared_error 0.450224 root_relative_squared_error 0.59212 root_relative_squared_error 0.479629 root_relative_squared_error 0.560421 root_relative_squared_error 0.652686 root_relative_squared_error 0.429713 root_relative_squared_error 0.722246 root_relative_squared_error 0.585927 root_relative_squared_error 0.593646 root_relative_squared_error 0.565782 root_relative_squared_error 0.546553 root_relative_squared_error 0.673845 root_relative_squared_error 0.710236 root_relative_squared_error 0.656741 root_relative_squared_error 0.553104 root_relative_squared_error 0.585332 root_relative_squared_error 0.562057 root_relative_squared_error 0.529605 root_relative_squared_error 0.558912 root_relative_squared_error 0.497326 root_relative_squared_error 0.57015 root_relative_squared_error 0.593415 root_relative_squared_error 0.660831 root_relative_squared_error 0.561219 root_relative_squared_error 0.594083 root_relative_squared_error 0.399399 root_relative_squared_error 0.586871 root_relative_squared_error 0.6272 root_relative_squared_error 0.657931 root_relative_squared_error 0.603818 root_relative_squared_error 0.513575 root_relative_squared_error 0.599298 root_relative_squared_error 0.670179 root_relative_squared_error 0.692445 root_relative_squared_error 0.613153 root_relative_squared_error 0.761411 root_relative_squared_error 0.361052 root_relative_squared_error 0.636813 root_relative_squared_error 0.61417 root_relative_squared_error 0.55429 root_relative_squared_error 0.501619 root_relative_squared_error 0.677902 root_relative_squared_error 0.600526 root_relative_squared_error 0.570865 root_relative_squared_error 0.616706 root_relative_squared_error 0.512197 root_relative_squared_error 0.610801 root_relative_squared_error 0.593538 root_relative_squared_error 0.44146 root_relative_squared_error 0.625837 root_relative_squared_error 0.713962 root_relative_squared_error 0.511189 root_relative_squared_error 0.565764 root_relative_squared_error 0.518062 root_relative_squared_error 0.631223 root_relative_squared_error 0.709676 root_relative_squared_error 0.641232 root_relative_squared_error 0.737606 root_relative_squared_error 0.507472 root_relative_squared_error 0.569492 root_relative_squared_error 0.630813 root_relative_squared_error 0.54426 root_relative_squared_error 0.568404 root_relative_squared_error 0.606814 root_relative_squared_error 0.57573 root_relative_squared_error 0.576055 root_relative_squared_error 0.575196 root_relative_squared_error 0.463671 root_relative_squared_error 0.681173 root_relative_squared_error 0.463917 root_relative_squared_error 0.691258 root_relative_squared_error 0.68711 root_relative_squared_error 0.613386 root_relative_squared_error 0.715027 root_relative_squared_error 0.54274 root_relative_squared_error 0.606703 root_relative_squared_error 0.664908 root_relative_squared_error 0.517456 root_relative_squared_error 0.561381 root_relative_squared_error 0.674505 root_relative_squared_error 0.532261 root_relative_squared_error 0.451969 root_relative_squared_error 0.583452 root_relative_squared_error 0.555269 root_relative_squared_error 0.607363 root_relative_squared_error 0.583793 root_relative_squared_error 0.506172 root_relative_squared_error 0.635566 root_relative_squared_error 0.573032 root_relative_squared_error 0.582985 root_relative_squared_error 0.676343 root_relative_squared_error 0.614686 root_relative_squared_error 0.605784 root_relative_squared_error 0.433544 root_relative_squared_error 0.587739 root_relative_squared_error 0.476906 root_relative_squared_error 0.549576 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 80 usercpu_time_millis 50 usercpu_time_millis 80 usercpu_time_millis 90 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 90 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 80 usercpu_time_millis 90 usercpu_time_millis 60 usercpu_time_millis 80 usercpu_time_millis 60 usercpu_time_millis 80 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 50 usercpu_time_millis 70 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 90 usercpu_time_millis 60 usercpu_time_millis 50 usercpu_time_millis 70 usercpu_time_millis 70 usercpu_time_millis 70 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 70 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 60 usercpu_time_millis 70 usercpu_time_millis 90 usercpu_time_millis 80 usercpu_time_millis 70 usercpu_time_millis 50 usercpu_time_millis 70 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 40 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 70 usercpu_time_millis 50 usercpu_time_millis 90 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 60 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 70 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 80 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 60 usercpu_time_millis 70 usercpu_time_millis 70 usercpu_time_millis 70 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 80 usercpu_time_millis 60 usercpu_time_millis 70 usercpu_time_millis 60 usercpu_time_millis 70 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 70 usercpu_time_millis 50 usercpu_time_millis 60 usercpu_time_millis 90 usercpu_time_millis 50 usercpu_time_millis 70 usercpu_time_millis 50 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 90 usercpu_time_millis 60 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 80 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 50 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 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 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 10 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 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 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