358587 2 Joaquin Vanschoren 3024 Supervised Classification predictive_accuracy 1165 weka.A1DE(4) 1918 weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE -- -F 1 -M 1.0 F 1 1165 M 1.0 1165 weka weka_3.7.12 38 sick https://www.openml.org/data/download/38/dataset_38_sick.arff -1 1238866 description https://api.openml.org/data/download/1238866/weka_generated_run3614141260207302390.xml -1 1238869 model_readable https://api.openml.org/data/download/1238869/WekaModel_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE2760305749403514691.model -1 1238868 model_serialized https://api.openml.org/data/download/1238868/WekaSerialized_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE8469800370178898582.model -1 1238867 predictions https://api.openml.org/data/download/1238867/weka_generated_predictions1631307685214897969.arff area_under_roc_curve 0.961938 [0.961938,0.961938] average_cost 0 f_measure 0.973896 [0.985864,0.790434] kappa 0.776313 kb_relative_information_score 17309.877643 mean_absolute_error 0.041561 mean_prior_absolute_error 0.115185 number_of_instances 37720 [35410,2310] os_information [Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic] precision 0.974377 [0.987919,0.766789] predictive_accuracy 0.973515 prior_entropy 0.333266 recall 0.973515 [0.983818,0.815584] relative_absolute_error 0.360824 root_mean_prior_squared_error 0.239771 root_mean_squared_error 0.1522 root_relative_squared_error 0.634772 scimark_benchmark 1317.585745 [818.8923669128452, 875.8886210156253, 542.8421963499411, 1076.1248520414933, 3274.180689171684] total_cost 0 usercpu_time_millis 50 usercpu_time_millis_testing 30 usercpu_time_millis_training 20 area_under_roc_curve 0.985181 [0.985181,0.985181] area_under_roc_curve 0.990141 [0.990141,0.990141] area_under_roc_curve 0.971402 [0.971402,0.971402] area_under_roc_curve 0.989651 [0.989651,0.989651] area_under_roc_curve 0.943662 [0.943662,0.943662] area_under_roc_curve 0.960931 [0.960931,0.960931] area_under_roc_curve 0.974587 [0.974587,0.974587] area_under_roc_curve 0.946663 [0.946663,0.946663] area_under_roc_curve 0.990263 [0.990263,0.990263] area_under_roc_curve 0.953644 [0.953644,0.953644] area_under_roc_curve 0.96822 [0.96822,0.96822] area_under_roc_curve 0.966808 [0.966808,0.966808] area_under_roc_curve 0.969044 [0.969044,0.969044] area_under_roc_curve 0.954331 [0.954331,0.954331] area_under_roc_curve 0.986405 [0.986405,0.986405] area_under_roc_curve 0.957097 [0.957097,0.957097] area_under_roc_curve 0.992114 [0.992114,0.992114] area_under_roc_curve 0.972693 [0.972693,0.972693] area_under_roc_curve 0.966043 [0.966043,0.966043] area_under_roc_curve 0.973458 [0.973458,0.973458] area_under_roc_curve 0.951548 [0.951548,0.951548] area_under_roc_curve 0.908499 [0.908499,0.908499] area_under_roc_curve 0.964751 [0.964751,0.964751] area_under_roc_curve 0.943196 [0.943196,0.943196] area_under_roc_curve 0.966225 [0.966225,0.966225] area_under_roc_curve 0.9634 [0.9634,0.9634] area_under_roc_curve 0.945161 [0.945161,0.945161] area_under_roc_curve 0.987595 [0.987595,0.987595] area_under_roc_curve 0.956092 [0.956092,0.956092] area_under_roc_curve 0.97562 [0.97562,0.97562] area_under_roc_curve 0.914517 [0.914517,0.914517] area_under_roc_curve 0.99042 [0.99042,0.99042] area_under_roc_curve 0.964935 [0.964935,0.964935] area_under_roc_curve 0.985569 [0.985569,0.985569] area_under_roc_curve 0.918755 [0.918755,0.918755] area_under_roc_curve 0.984402 [0.984402,0.984402] area_under_roc_curve 0.970278 [0.970278,0.970278] area_under_roc_curve 0.954679 [0.954679,0.954679] area_under_roc_curve 0.992078 [0.992078,0.992078] area_under_roc_curve 0.97126 [0.97126,0.97126] area_under_roc_curve 0.979059 [0.979059,0.979059] area_under_roc_curve 0.956215 [0.956215,0.956215] area_under_roc_curve 0.945836 [0.945836,0.945836] area_under_roc_curve 0.960206 [0.960206,0.960206] area_under_roc_curve 0.927352 [0.927352,0.927352] area_under_roc_curve 0.983235 [0.983235,0.983235] area_under_roc_curve 0.970339 [0.970339,0.970339] area_under_roc_curve 0.956522 [0.956522,0.956522] area_under_roc_curve 0.942152 [0.942152,0.942152] area_under_roc_curve 0.954372 [0.954372,0.954372] area_under_roc_curve 0.969295 [0.969295,0.969295] area_under_roc_curve 0.927352 [0.927352,0.927352] area_under_roc_curve 0.935151 [0.935151,0.935151] area_under_roc_curve 0.948477 [0.948477,0.948477] area_under_roc_curve 0.976296 [0.976296,0.976296] area_under_roc_curve 0.93251 [0.93251,0.93251] area_under_roc_curve 0.977708 [0.977708,0.977708] area_under_roc_curve 0.945038 [0.945038,0.945038] area_under_roc_curve 0.930975 [0.930975,0.930975] area_under_roc_curve 0.981577 [0.981577,0.981577] area_under_roc_curve 0.95732 [0.95732,0.95732] area_under_roc_curve 0.957443 [0.957443,0.957443] area_under_roc_curve 0.966286 [0.966286,0.966286] area_under_roc_curve 0.987902 [0.987902,0.987902] area_under_roc_curve 0.974761 [0.974761,0.974761] area_under_roc_curve 0.951056 [0.951056,0.951056] area_under_roc_curve 0.952899 [0.952899,0.952899] area_under_roc_curve 0.977954 [0.977954,0.977954] area_under_roc_curve 0.929563 [0.929563,0.929563] area_under_roc_curve 0.97605 [0.97605,0.97605] area_under_roc_curve 0.943933 [0.943933,0.943933] area_under_roc_curve 0.959101 [0.959101,0.959101] area_under_roc_curve 0.957934 [0.957934,0.957934] area_under_roc_curve 0.983849 [0.983849,0.983849] area_under_roc_curve 0.967883 [0.967883,0.967883] area_under_roc_curve 0.974146 [0.974146,0.974146] area_under_roc_curve 0.971506 [0.971506,0.971506] area_under_roc_curve 0.976419 [0.976419,0.976419] area_under_roc_curve 0.96082 [0.96082,0.96082] area_under_roc_curve 0.892594 [0.892594,0.892594] area_under_roc_curve 0.976357 [0.976357,0.976357] area_under_roc_curve 0.982682 [0.982682,0.982682] area_under_roc_curve 0.98434 [0.98434,0.98434] area_under_roc_curve 0.936256 [0.936256,0.936256] area_under_roc_curve 0.993552 [0.993552,0.993552] area_under_roc_curve 0.962356 [0.962356,0.962356] area_under_roc_curve 0.93902 [0.93902,0.93902] area_under_roc_curve 0.957873 [0.957873,0.957873] area_under_roc_curve 0.979735 [0.979735,0.979735] area_under_roc_curve 0.957811 [0.957811,0.957811] area_under_roc_curve 0.97083 [0.97083,0.97083] area_under_roc_curve 0.991157 [0.991157,0.991157] area_under_roc_curve 0.956399 [0.956399,0.956399] area_under_roc_curve 0.936871 [0.936871,0.936871] area_under_roc_curve 0.968128 [0.968128,0.968128] area_under_roc_curve 0.964137 [0.964137,0.964137] area_under_roc_curve 0.938099 [0.938099,0.938099] area_under_roc_curve 0.946819 [0.946819,0.946819] area_under_roc_curve 0.990666 [0.990666,0.990666] area_under_roc_curve 0.990666 [0.990666,0.990666] 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 0.986635 [0.992968,0.888889] f_measure 0.977273 [0.987234,0.823529] f_measure 0.984127 [0.991549,0.869565] f_measure 0.977644 [0.987198,0.830189] f_measure 0.975943 [0.987342,0.8] f_measure 0.974059 [0.985876,0.791667] f_measure 0.968871 [0.983051,0.75] f_measure 0.960712 [0.978843,0.680851] f_measure 0.982009 [0.990099,0.857143] f_measure 0.968871 [0.983051,0.75] f_measure 0.975954 [0.987306,0.808511] f_measure 0.968254 [0.983051,0.75] f_measure 0.962645 [0.978602,0.727273] f_measure 0.967609 [0.983099,0.73913] f_measure 0.972606 [0.984308,0.8] f_measure 0.972169 [0.984353,0.792453] f_measure 0.981657 [0.990099,0.857143] f_measure 0.973545 [0.985876,0.791667] f_measure 0.978406 [0.988732,0.826087] f_measure 0.984422 [0.991501,0.88] f_measure 0.959798 [0.978843,0.666667] f_measure 0.962865 [0.980226,0.695652] f_measure 0.989164 [0.994366,0.909091] f_measure 0.977829 [0.988764,0.809524] f_measure 0.975879 [0.987306,0.8] f_measure 0.962865 [0.980226,0.695652] f_measure 0.966499 [0.98156,0.734694] f_measure 0.984394 [0.991501,0.875] f_measure 0.962073 [0.980282,0.681818] f_measure 0.971653 [0.984397,0.77551] f_measure 0.955355 [0.975955,0.638298] f_measure 0.982566 [0.990014,0.867925] f_measure 0.972286 [0.985955,0.761905] f_measure 0.971653 [0.984397,0.77551] f_measure 0.968788 [0.983003,0.75] f_measure 0.979192 [0.988669,0.833333] f_measure 0.972149 [0.984353,0.784314] f_measure 0.964848 [0.980057,0.730769] f_measure 0.977829 [0.988764,0.809524] f_measure 0.979192 [0.988669,0.833333] f_measure 0.984394 [0.991501,0.875] f_measure 0.972149 [0.984353,0.784314] f_measure 0.973475 [0.985876,0.782609] f_measure 0.976807 [0.987234,0.816327] f_measure 0.964387 [0.981716,0.697674] f_measure 0.972909 [0.985915,0.772727] f_measure 0.981617 [0.990099,0.851064] f_measure 0.984085 [0.991525,0.869565] f_measure 0.969353 [0.982955,0.76] f_measure 0.976807 [0.987234,0.816327] f_measure 0.981617 [0.990099,0.851064] f_measure 0.967491 [0.983099,0.727273] f_measure 0.972909 [0.985915,0.772727] f_measure 0.97878 [0.988701,0.826087] f_measure 0.984085 [0.991525,0.869565] f_measure 0.976807 [0.987234,0.816327] f_measure 0.966499 [0.98156,0.734694] f_measure 0.975879 [0.987306,0.8] f_measure 0.959827 [0.977208,0.692308] f_measure 0.96586 [0.981612,0.723404] f_measure 0.969353 [0.982955,0.76] f_measure 0.978327 [0.988732,0.818182] f_measure 0.979192 [0.988669,0.833333] f_measure 0.976364 [0.98727,0.808511] f_measure 0.962641 [0.978602,0.716981] f_measure 0.976364 [0.98727,0.808511] f_measure 0.983746 [0.991549,0.863636] f_measure 0.977213 [0.987198,0.823529] f_measure 0.966499 [0.98156,0.734694] f_measure 0.97399 [0.985836,0.791667] f_measure 0.97446 [0.985795,0.8] f_measure 0.970519 [0.984485,0.755556] f_measure 0.965403 [0.98,0.740741] f_measure 0.975345 [0.987342,0.790698] f_measure 0.96817 [0.983051,0.73913] f_measure 0.973475 [0.985876,0.782609] f_measure 0.976807 [0.987234,0.816327] f_measure 0.979568 [0.988636,0.84] f_measure 0.979192 [0.988669,0.833333] f_measure 0.972286 [0.985955,0.761905] f_measure 0.971653 [0.984397,0.77551] f_measure 0.973475 [0.985876,0.782609] f_measure 0.96987 [0.982906,0.769231] f_measure 0.973475 [0.985876,0.782609] f_measure 0.984676 [0.991477,0.88] f_measure 0.973475 [0.985876,0.782609] f_measure 0.972286 [0.985955,0.761905] f_measure 0.977829 [0.988764,0.809524] f_measure 0.984085 [0.991525,0.869565] f_measure 0.962865 [0.980226,0.695652] f_measure 0.973475 [0.985876,0.782609] f_measure 0.989596 [0.994334,0.916667] f_measure 0.97399 [0.985836,0.791667] f_measure 0.965403 [0.98,0.740741] f_measure 0.976364 [0.98727,0.808511] f_measure 0.968788 [0.983003,0.75] f_measure 0.968788 [0.983003,0.75] f_measure 0.966499 [0.98156,0.734694] f_measure 0.984935 [0.991453,0.884615] f_measure 0.982277 [0.990043,0.862745] kappa 0.88186 kappa 0.810895 kappa 0.861115 kappa 0.817626 kappa 0.787348 kappa 0.777569 kappa 0.733082 kappa 0.659705 kappa 0.847282 kappa 0.733082 kappa 0.795823 kappa 0.733051 kappa 0.706248 kappa 0.722263 kappa 0.784582 kappa 0.776955 kappa 0.847246 kappa 0.777542 kappa 0.814842 kappa 0.871516 kappa 0.645521 kappa 0.675878 kappa 0.903469 kappa 0.798396 kappa 0.787313 kappa 0.675878 kappa 0.716328 kappa 0.866517 kappa 0.662143 kappa 0.75997 kappa 0.614264 kappa 0.858126 kappa 0.747995 kappa 0.75997 kappa 0.733034 kappa 0.822023 kappa 0.768828 kappa 0.711111 kappa 0.798396 kappa 0.822023 kappa 0.866517 kappa 0.768828 kappa 0.768484 kappa 0.803612 kappa 0.679485 kappa 0.758674 kappa 0.841168 kappa 0.861091 kappa 0.743071 kappa 0.803612 kappa 0.841168 kappa 0.710408 kappa 0.758674 kappa 0.814788 kappa 0.861091 kappa 0.803612 kappa 0.716328 kappa 0.787313 kappa 0.669841 kappa 0.705026 kappa 0.743071 kappa 0.806939 kappa 0.822023 kappa 0.795787 kappa 0.695984 kappa 0.795787 kappa 0.855204 kappa 0.810859 kappa 0.716328 kappa 0.777529 kappa 0.785893 kappa 0.740049 kappa 0.721213 kappa 0.778105 kappa 0.722181 kappa 0.768484 kappa 0.803612 kappa 0.828714 kappa 0.822023 kappa 0.747995 kappa 0.75997 kappa 0.768484 kappa 0.752381 kappa 0.768484 kappa 0.871536 kappa 0.768484 kappa 0.747995 kappa 0.798396 kappa 0.861091 kappa 0.675878 kappa 0.768484 kappa 0.911011 kappa 0.777529 kappa 0.721213 kappa 0.795787 kappa 0.733034 kappa 0.733034 kappa 0.716328 kappa 0.87619 kappa 0.85289 kb_relative_information_score 247.317452 kb_relative_information_score 220.128161 kb_relative_information_score 215.051033 kb_relative_information_score 155.755632 kb_relative_information_score 195.788015 kb_relative_information_score 139.711283 kb_relative_information_score 132.865383 kb_relative_information_score 184.222209 kb_relative_information_score 140.656963 kb_relative_information_score 162.659105 kb_relative_information_score 209.009742 kb_relative_information_score 124.066694 kb_relative_information_score 130.772096 kb_relative_information_score 183.79558 kb_relative_information_score 195.043819 kb_relative_information_score 178.740501 kb_relative_information_score 220.766573 kb_relative_information_score 146.083612 kb_relative_information_score 181.817951 kb_relative_information_score 212.496848 kb_relative_information_score 154.8635 kb_relative_information_score 153.355501 kb_relative_information_score 255.49806 kb_relative_information_score 208.222052 kb_relative_information_score 166.79683 kb_relative_information_score 159.108311 kb_relative_information_score 148.079439 kb_relative_information_score 216.506011 kb_relative_information_score 171.219943 kb_relative_information_score 146.798403 kb_relative_information_score 56.984191 kb_relative_information_score 189.787682 kb_relative_information_score 188.661086 kb_relative_information_score 144.962179 kb_relative_information_score 172.078989 kb_relative_information_score 205.715364 kb_relative_information_score 159.907843 kb_relative_information_score 72.376887 kb_relative_information_score 228.341037 kb_relative_information_score 203.628613 kb_relative_information_score 199.173104 kb_relative_information_score 149.353024 kb_relative_information_score 194.028448 kb_relative_information_score 140.228896 kb_relative_information_score 154.661939 kb_relative_information_score 186.393226 kb_relative_information_score 183.172866 kb_relative_information_score 204.926893 kb_relative_information_score 148.344664 kb_relative_information_score 173.152156 kb_relative_information_score 241.016185 kb_relative_information_score 165.296576 kb_relative_information_score 162.72297 kb_relative_information_score 205.595711 kb_relative_information_score 227.261335 kb_relative_information_score 176.614683 kb_relative_information_score 136.792207 kb_relative_information_score 197.528685 kb_relative_information_score 131.055782 kb_relative_information_score 125.646881 kb_relative_information_score 133.623091 kb_relative_information_score 189.078753 kb_relative_information_score 146.07765 kb_relative_information_score 216.387898 kb_relative_information_score 128.786454 kb_relative_information_score 147.41748 kb_relative_information_score 200.593038 kb_relative_information_score 197.733911 kb_relative_information_score 93.129403 kb_relative_information_score 177.902231 kb_relative_information_score 157.398112 kb_relative_information_score 179.076713 kb_relative_information_score 105.970046 kb_relative_information_score 198.362474 kb_relative_information_score 137.281683 kb_relative_information_score 169.830038 kb_relative_information_score 179.274952 kb_relative_information_score 195.634258 kb_relative_information_score 187.530499 kb_relative_information_score 176.514501 kb_relative_information_score 153.084904 kb_relative_information_score 155.072924 kb_relative_information_score 143.723084 kb_relative_information_score 140.703049 kb_relative_information_score 211.172554 kb_relative_information_score 169.283595 kb_relative_information_score 188.162021 kb_relative_information_score 180.226161 kb_relative_information_score 220.112791 kb_relative_information_score 145.928965 kb_relative_information_score 182.650754 kb_relative_information_score 241.064265 kb_relative_information_score 188.856746 kb_relative_information_score 111.37931 kb_relative_information_score 167.712159 kb_relative_information_score 192.855394 kb_relative_information_score 179.844047 kb_relative_information_score 151.100293 kb_relative_information_score 180.52307 kb_relative_information_score 206.211567 mean_absolute_error 0.026595 mean_absolute_error 0.033232 mean_absolute_error 0.033499 mean_absolute_error 0.038869 mean_absolute_error 0.039285 mean_absolute_error 0.044691 mean_absolute_error 0.046878 mean_absolute_error 0.04382 mean_absolute_error 0.042279 mean_absolute_error 0.045096 mean_absolute_error 0.037899 mean_absolute_error 0.05022 mean_absolute_error 0.05182 mean_absolute_error 0.043149 mean_absolute_error 0.041121 mean_absolute_error 0.044652 mean_absolute_error 0.033388 mean_absolute_error 0.044866 mean_absolute_error 0.040788 mean_absolute_error 0.034393 mean_absolute_error 0.047199 mean_absolute_error 0.045708 mean_absolute_error 0.027952 mean_absolute_error 0.036221 mean_absolute_error 0.04005 mean_absolute_error 0.046182 mean_absolute_error 0.047894 mean_absolute_error 0.03441 mean_absolute_error 0.044796 mean_absolute_error 0.045732 mean_absolute_error 0.061296 mean_absolute_error 0.037478 mean_absolute_error 0.037977 mean_absolute_error 0.043712 mean_absolute_error 0.041862 mean_absolute_error 0.034954 mean_absolute_error 0.046361 mean_absolute_error 0.055847 mean_absolute_error 0.032665 mean_absolute_error 0.034992 mean_absolute_error 0.035247 mean_absolute_error 0.046543 mean_absolute_error 0.039107 mean_absolute_error 0.044792 mean_absolute_error 0.046163 mean_absolute_error 0.039519 mean_absolute_error 0.037299 mean_absolute_error 0.035822 mean_absolute_error 0.047131 mean_absolute_error 0.041425 mean_absolute_error 0.030431 mean_absolute_error 0.044081 mean_absolute_error 0.042192 mean_absolute_error 0.038405 mean_absolute_error 0.032036 mean_absolute_error 0.039691 mean_absolute_error 0.050803 mean_absolute_error 0.037351 mean_absolute_error 0.050253 mean_absolute_error 0.049736 mean_absolute_error 0.049696 mean_absolute_error 0.037522 mean_absolute_error 0.041301 mean_absolute_error 0.03768 mean_absolute_error 0.051999 mean_absolute_error 0.041938 mean_absolute_error 0.034375 mean_absolute_error 0.039228 mean_absolute_error 0.054502 mean_absolute_error 0.040925 mean_absolute_error 0.042359 mean_absolute_error 0.041149 mean_absolute_error 0.053933 mean_absolute_error 0.037792 mean_absolute_error 0.049643 mean_absolute_error 0.040195 mean_absolute_error 0.039594 mean_absolute_error 0.03713 mean_absolute_error 0.038794 mean_absolute_error 0.0412 mean_absolute_error 0.044355 mean_absolute_error 0.043564 mean_absolute_error 0.048444 mean_absolute_error 0.047067 mean_absolute_error 0.032166 mean_absolute_error 0.04226 mean_absolute_error 0.040106 mean_absolute_error 0.038433 mean_absolute_error 0.03186 mean_absolute_error 0.047455 mean_absolute_error 0.040663 mean_absolute_error 0.030187 mean_absolute_error 0.039517 mean_absolute_error 0.050408 mean_absolute_error 0.039015 mean_absolute_error 0.04154 mean_absolute_error 0.040842 mean_absolute_error 0.046527 mean_absolute_error 0.038309 mean_absolute_error 0.034654 mean_prior_absolute_error 0.114839 mean_prior_absolute_error 0.114839 mean_prior_absolute_error 0.114839 mean_prior_absolute_error 0.114839 mean_prior_absolute_error 0.114839 mean_prior_absolute_error 0.114839 mean_prior_absolute_error 0.114839 mean_prior_absolute_error 0.114839 mean_prior_absolute_error 0.114839 mean_prior_absolute_error 0.114839 mean_prior_absolute_error 0.117159 mean_prior_absolute_error 0.117159 mean_prior_absolute_error 0.117159 mean_prior_absolute_error 0.117159 mean_prior_absolute_error 0.117159 mean_prior_absolute_error 0.117159 mean_prior_absolute_error 0.117159 mean_prior_absolute_error 0.117159 mean_prior_absolute_error 0.117159 mean_prior_absolute_error 0.117159 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 mean_prior_absolute_error 0.11498 number_of_instances 378 [355,23] number_of_instances 378 [355,23] number_of_instances 378 [355,23] number_of_instances 378 [355,23] number_of_instances 378 [355,23] number_of_instances 378 [355,23] number_of_instances 378 [355,23] number_of_instances 378 [355,23] number_of_instances 378 [355,23] number_of_instances 378 [355,23] number_of_instances 378 [354,24] number_of_instances 378 [354,24] number_of_instances 378 [354,24] number_of_instances 378 [354,24] number_of_instances 378 [354,24] number_of_instances 378 [354,24] number_of_instances 378 [354,24] number_of_instances 378 [354,24] number_of_instances 378 [354,24] number_of_instances 378 [354,24] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] number_of_instances 377 [354,23] precision 0.986554 [0.991573,0.909091] precision 0.979422 [0.994286,0.75] precision 0.984127 [0.991549,0.869565] precision 0.981076 [0.997126,0.733333] precision 0.975747 [0.985955,0.818182] precision 0.974755 [0.988669,0.76] precision 0.969661 [0.985836,0.72] precision 0.961147 [0.980226,0.666667] precision 0.982963 [0.994318,0.807692] precision 0.969661 [0.985836,0.72] precision 0.975768 [0.985915,0.826087] precision 0.968254 [0.983051,0.75] precision 0.966675 [0.988473,0.645161] precision 0.967156 [0.980337,0.772727] precision 0.976169 [0.994236,0.709677] precision 0.974435 [0.991404,0.724138] precision 0.981882 [0.991501,0.84] precision 0.973545 [0.985876,0.791667] precision 0.978189 [0.985955,0.863636] precision 0.984911 [0.994318,0.846154] precision 0.959428 [0.977465,0.681818] precision 0.962865 [0.980226,0.695652] precision 0.989182 [0.991573,0.952381] precision 0.977841 [0.98324,0.894737] precision 0.975682 [0.985915,0.818182] precision 0.962865 [0.980226,0.695652] precision 0.967852 [0.985755,0.692308] precision 0.984904 [0.994318,0.84] precision 0.961468 [0.977528,0.714286] precision 0.972874 [0.988604,0.730769] precision 0.955842 [0.977337,0.625] precision 0.985765 [1,0.766667] precision 0.972007 [0.980447,0.842105] precision 0.972874 [0.988604,0.730769] precision 0.96958 [0.985795,0.72] precision 0.979796 [0.991477,0.8] precision 0.974498 [0.991404,0.714286] precision 0.96817 [0.988506,0.655172] precision 0.977841 [0.98324,0.894737] precision 0.979796 [0.991477,0.8] precision 0.984904 [0.994318,0.84] precision 0.974498 [0.991404,0.714286] precision 0.973475 [0.985876,0.782609] precision 0.977896 [0.991453,0.769231] precision 0.963706 [0.977591,0.75] precision 0.972554 [0.983146,0.809524] precision 0.981852 [0.991501,0.833333] precision 0.984085 [0.991525,0.869565] precision 0.971192 [0.988571,0.703704] precision 0.977896 [0.991453,0.769231] precision 0.981852 [0.991501,0.833333] precision 0.967011 [0.980337,0.761905] precision 0.972554 [0.983146,0.809524] precision 0.97878 [0.988701,0.826087] precision 0.984085 [0.991525,0.869565] precision 0.977896 [0.991453,0.769231] precision 0.967852 [0.985755,0.692308] precision 0.975682 [0.985915,0.818182] precision 0.963368 [0.985632,0.62069] precision 0.966246 [0.983003,0.708333] precision 0.971192 [0.988571,0.703704] precision 0.978096 [0.985955,0.857143] precision 0.979796 [0.991477,0.8] precision 0.97665 [0.988669,0.791667] precision 0.966806 [0.988473,0.633333] precision 0.97665 [0.988669,0.791667] precision 0.983639 [0.988764,0.904762] precision 0.979367 [0.994269,0.75] precision 0.967852 [0.985755,0.692308] precision 0.974688 [0.988636,0.76] precision 0.976135 [0.991429,0.740741] precision 0.970264 [0.983099,0.772727] precision 0.97021 [0.991329,0.645161] precision 0.975067 [0.983193,0.85] precision 0.96817 [0.983051,0.73913] precision 0.973475 [0.985876,0.782609] precision 0.977896 [0.991453,0.769231] precision 0.981077 [0.994286,0.777778] precision 0.979796 [0.991477,0.8] precision 0.972007 [0.980447,0.842105] precision 0.972874 [0.988604,0.730769] precision 0.973475 [0.985876,0.782609] precision 0.972972 [0.991379,0.689655] precision 0.973475 [0.985876,0.782609] precision 0.986019 [0.997143,0.814815] precision 0.973475 [0.985876,0.782609] precision 0.972007 [0.980447,0.842105] precision 0.977841 [0.98324,0.894737] precision 0.984085 [0.991525,0.869565] precision 0.962865 [0.980226,0.695652] precision 0.973475 [0.985876,0.782609] precision 0.990011 [0.997159,0.88] precision 0.974688 [0.988636,0.76] precision 0.97021 [0.991329,0.645161] precision 0.97665 [0.988669,0.791667] precision 0.96958 [0.985795,0.72] precision 0.96958 [0.985795,0.72] precision 0.967852 [0.985755,0.692308] precision 0.987378 [1,0.793103] precision 0.984236 [0.997135,0.785714] predictive_accuracy 0.986772 predictive_accuracy 0.97619 predictive_accuracy 0.984127 predictive_accuracy 0.97619 predictive_accuracy 0.97619 predictive_accuracy 0.973545 predictive_accuracy 0.968254 predictive_accuracy 0.960317 predictive_accuracy 0.981481 predictive_accuracy 0.968254 predictive_accuracy 0.97619 predictive_accuracy 0.968254 predictive_accuracy 0.960317 predictive_accuracy 0.968254 predictive_accuracy 0.970899 predictive_accuracy 0.970899 predictive_accuracy 0.981481 predictive_accuracy 0.973545 predictive_accuracy 0.978836 predictive_accuracy 0.984127 predictive_accuracy 0.960212 predictive_accuracy 0.962865 predictive_accuracy 0.98939 predictive_accuracy 0.97878 predictive_accuracy 0.976127 predictive_accuracy 0.962865 predictive_accuracy 0.965517 predictive_accuracy 0.984085 predictive_accuracy 0.962865 predictive_accuracy 0.970822 predictive_accuracy 0.954907 predictive_accuracy 0.981432 predictive_accuracy 0.973475 predictive_accuracy 0.970822 predictive_accuracy 0.96817 predictive_accuracy 0.97878 predictive_accuracy 0.970822 predictive_accuracy 0.962865 predictive_accuracy 0.97878 predictive_accuracy 0.97878 predictive_accuracy 0.984085 predictive_accuracy 0.970822 predictive_accuracy 0.973475 predictive_accuracy 0.976127 predictive_accuracy 0.965517 predictive_accuracy 0.973475 predictive_accuracy 0.981432 predictive_accuracy 0.984085 predictive_accuracy 0.96817 predictive_accuracy 0.976127 predictive_accuracy 0.981432 predictive_accuracy 0.96817 predictive_accuracy 0.973475 predictive_accuracy 0.97878 predictive_accuracy 0.984085 predictive_accuracy 0.976127 predictive_accuracy 0.965517 predictive_accuracy 0.976127 predictive_accuracy 0.95756 predictive_accuracy 0.965517 predictive_accuracy 0.96817 predictive_accuracy 0.97878 predictive_accuracy 0.97878 predictive_accuracy 0.976127 predictive_accuracy 0.960212 predictive_accuracy 0.976127 predictive_accuracy 0.984085 predictive_accuracy 0.976127 predictive_accuracy 0.965517 predictive_accuracy 0.973475 predictive_accuracy 0.973475 predictive_accuracy 0.970822 predictive_accuracy 0.962865 predictive_accuracy 0.976127 predictive_accuracy 0.96817 predictive_accuracy 0.973475 predictive_accuracy 0.976127 predictive_accuracy 0.97878 predictive_accuracy 0.97878 predictive_accuracy 0.973475 predictive_accuracy 0.970822 predictive_accuracy 0.973475 predictive_accuracy 0.96817 predictive_accuracy 0.973475 predictive_accuracy 0.984085 predictive_accuracy 0.973475 predictive_accuracy 0.973475 predictive_accuracy 0.97878 predictive_accuracy 0.984085 predictive_accuracy 0.962865 predictive_accuracy 0.973475 predictive_accuracy 0.98939 predictive_accuracy 0.973475 predictive_accuracy 0.962865 predictive_accuracy 0.976127 predictive_accuracy 0.96817 predictive_accuracy 0.96817 predictive_accuracy 0.965517 predictive_accuracy 0.984085 predictive_accuracy 0.981432 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 prior_entropy 0.333266 recall 0.986772 [0.994366,0.869565] recall 0.97619 [0.980282,0.913043] recall 0.984127 [0.991549,0.869565] recall 0.97619 [0.977465,0.956522] recall 0.97619 [0.988732,0.782609] recall 0.973545 [0.983099,0.826087] recall 0.968254 [0.980282,0.782609] recall 0.960317 [0.977465,0.695652] recall 0.981481 [0.985915,0.913043] recall 0.968254 [0.980282,0.782609] recall 0.97619 [0.988701,0.791667] recall 0.968254 [0.983051,0.75] recall 0.960317 [0.968927,0.833333] recall 0.968254 [0.985876,0.708333] recall 0.970899 [0.974576,0.916667] recall 0.970899 [0.977401,0.875] recall 0.981481 [0.988701,0.875] recall 0.973545 [0.985876,0.791667] recall 0.978836 [0.991525,0.791667] recall 0.984127 [0.988701,0.916667] recall 0.960212 [0.980226,0.652174] recall 0.962865 [0.980226,0.695652] recall 0.98939 [0.997175,0.869565] recall 0.97878 [0.99435,0.73913] recall 0.976127 [0.988701,0.782609] recall 0.962865 [0.980226,0.695652] recall 0.965517 [0.977401,0.782609] recall 0.984085 [0.988701,0.913043] recall 0.962865 [0.983051,0.652174] recall 0.970822 [0.980226,0.826087] recall 0.954907 [0.974576,0.652174] recall 0.981432 [0.980226,1] recall 0.973475 [0.991525,0.695652] recall 0.970822 [0.980226,0.826087] recall 0.96817 [0.980226,0.782609] recall 0.97878 [0.985876,0.869565] recall 0.970822 [0.977401,0.869565] recall 0.962865 [0.971751,0.826087] recall 0.97878 [0.99435,0.73913] recall 0.97878 [0.985876,0.869565] recall 0.984085 [0.988701,0.913043] recall 0.970822 [0.977401,0.869565] recall 0.973475 [0.985876,0.782609] recall 0.976127 [0.983051,0.869565] recall 0.965517 [0.985876,0.652174] recall 0.973475 [0.988701,0.73913] recall 0.981432 [0.988701,0.869565] recall 0.984085 [0.991525,0.869565] recall 0.96817 [0.977401,0.826087] recall 0.976127 [0.983051,0.869565] recall 0.981432 [0.988701,0.869565] recall 0.96817 [0.985876,0.695652] recall 0.973475 [0.988701,0.73913] recall 0.97878 [0.988701,0.826087] recall 0.984085 [0.991525,0.869565] recall 0.976127 [0.983051,0.869565] recall 0.965517 [0.977401,0.782609] recall 0.976127 [0.988701,0.782609] recall 0.95756 [0.968927,0.782609] recall 0.965517 [0.980226,0.73913] recall 0.96817 [0.977401,0.826087] recall 0.97878 [0.991525,0.782609] recall 0.97878 [0.985876,0.869565] recall 0.976127 [0.985876,0.826087] recall 0.960212 [0.968927,0.826087] recall 0.976127 [0.985876,0.826087] recall 0.984085 [0.99435,0.826087] recall 0.976127 [0.980226,0.913043] recall 0.965517 [0.977401,0.782609] recall 0.973475 [0.983051,0.826087] recall 0.973475 [0.980226,0.869565] recall 0.970822 [0.985876,0.73913] recall 0.962865 [0.968927,0.869565] recall 0.976127 [0.991525,0.73913] recall 0.96817 [0.983051,0.73913] recall 0.973475 [0.985876,0.782609] recall 0.976127 [0.983051,0.869565] recall 0.97878 [0.983051,0.913043] recall 0.97878 [0.985876,0.869565] recall 0.973475 [0.991525,0.695652] recall 0.970822 [0.980226,0.826087] recall 0.973475 [0.985876,0.782609] recall 0.96817 [0.974576,0.869565] recall 0.973475 [0.985876,0.782609] recall 0.984085 [0.985876,0.956522] recall 0.973475 [0.985876,0.782609] recall 0.973475 [0.991525,0.695652] recall 0.97878 [0.99435,0.73913] recall 0.984085 [0.991525,0.869565] recall 0.962865 [0.980226,0.695652] recall 0.973475 [0.985876,0.782609] recall 0.98939 [0.991525,0.956522] recall 0.973475 [0.983051,0.826087] recall 0.962865 [0.968927,0.869565] recall 0.976127 [0.985876,0.826087] recall 0.96817 [0.980226,0.782609] recall 0.96817 [0.980226,0.782609] recall 0.965517 [0.977401,0.782609] recall 0.984085 [0.983051,1] recall 0.981432 [0.983051,0.956522] relative_absolute_error 0.231588 relative_absolute_error 0.289379 relative_absolute_error 0.291705 relative_absolute_error 0.338466 relative_absolute_error 0.342089 relative_absolute_error 0.389163 relative_absolute_error 0.408209 relative_absolute_error 0.381579 relative_absolute_error 0.368161 relative_absolute_error 0.392693 relative_absolute_error 0.323482 relative_absolute_error 0.428646 relative_absolute_error 0.442303 relative_absolute_error 0.368291 relative_absolute_error 0.350987 relative_absolute_error 0.381118 relative_absolute_error 0.284981 relative_absolute_error 0.382946 relative_absolute_error 0.348139 relative_absolute_error 0.293556 relative_absolute_error 0.410499 relative_absolute_error 0.397527 relative_absolute_error 0.243099 relative_absolute_error 0.315017 relative_absolute_error 0.348318 relative_absolute_error 0.401648 relative_absolute_error 0.416541 relative_absolute_error 0.299272 relative_absolute_error 0.389594 relative_absolute_error 0.397737 relative_absolute_error 0.533097 relative_absolute_error 0.325955 relative_absolute_error 0.330294 relative_absolute_error 0.380173 relative_absolute_error 0.364082 relative_absolute_error 0.304001 relative_absolute_error 0.403204 relative_absolute_error 0.485709 relative_absolute_error 0.284087 relative_absolute_error 0.304328 relative_absolute_error 0.30655 relative_absolute_error 0.404787 relative_absolute_error 0.340121 relative_absolute_error 0.389563 relative_absolute_error 0.401482 relative_absolute_error 0.343705 relative_absolute_error 0.32439 relative_absolute_error 0.31155 relative_absolute_error 0.409902 relative_absolute_error 0.360277 relative_absolute_error 0.264666 relative_absolute_error 0.383375 relative_absolute_error 0.366953 relative_absolute_error 0.334013 relative_absolute_error 0.27862 relative_absolute_error 0.345202 relative_absolute_error 0.441839 relative_absolute_error 0.324844 relative_absolute_error 0.437054 relative_absolute_error 0.432563 relative_absolute_error 0.432213 relative_absolute_error 0.326335 relative_absolute_error 0.359199 relative_absolute_error 0.327709 relative_absolute_error 0.452245 relative_absolute_error 0.364738 relative_absolute_error 0.298961 relative_absolute_error 0.341174 relative_absolute_error 0.474011 relative_absolute_error 0.355932 relative_absolute_error 0.368398 relative_absolute_error 0.357881 relative_absolute_error 0.469061 relative_absolute_error 0.328682 relative_absolute_error 0.43175 relative_absolute_error 0.349582 relative_absolute_error 0.34435 relative_absolute_error 0.322925 relative_absolute_error 0.337398 relative_absolute_error 0.358322 relative_absolute_error 0.385762 relative_absolute_error 0.37888 relative_absolute_error 0.421322 relative_absolute_error 0.409344 relative_absolute_error 0.279755 relative_absolute_error 0.367539 relative_absolute_error 0.348804 relative_absolute_error 0.334253 relative_absolute_error 0.277089 relative_absolute_error 0.412718 relative_absolute_error 0.353654 relative_absolute_error 0.262544 relative_absolute_error 0.343687 relative_absolute_error 0.438404 relative_absolute_error 0.339321 relative_absolute_error 0.361279 relative_absolute_error 0.355208 relative_absolute_error 0.404653 relative_absolute_error 0.333182 relative_absolute_error 0.301388 root_mean_prior_squared_error 0.239049 root_mean_prior_squared_error 0.239049 root_mean_prior_squared_error 0.239049 root_mean_prior_squared_error 0.239049 root_mean_prior_squared_error 0.239049 root_mean_prior_squared_error 0.239049 root_mean_prior_squared_error 0.239049 root_mean_prior_squared_error 0.239049 root_mean_prior_squared_error 0.239049 root_mean_prior_squared_error 0.239049 root_mean_prior_squared_error 0.243854 root_mean_prior_squared_error 0.243854 root_mean_prior_squared_error 0.243854 root_mean_prior_squared_error 0.243854 root_mean_prior_squared_error 0.243854 root_mean_prior_squared_error 0.243854 root_mean_prior_squared_error 0.243854 root_mean_prior_squared_error 0.243854 root_mean_prior_squared_error 0.243854 root_mean_prior_squared_error 0.243854 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_prior_squared_error 0.239345 root_mean_squared_error 0.106757 root_mean_squared_error 0.13152 root_mean_squared_error 0.121995 root_mean_squared_error 0.135178 root_mean_squared_error 0.154934 root_mean_squared_error 0.156497 root_mean_squared_error 0.16273 root_mean_squared_error 0.165749 root_mean_squared_error 0.139435 root_mean_squared_error 0.161317 root_mean_squared_error 0.143625 root_mean_squared_error 0.165837 root_mean_squared_error 0.182958 root_mean_squared_error 0.166185 root_mean_squared_error 0.151115 root_mean_squared_error 0.162781 root_mean_squared_error 0.121748 root_mean_squared_error 0.151084 root_mean_squared_error 0.141407 root_mean_squared_error 0.132822 root_mean_squared_error 0.172057 root_mean_squared_error 0.176544 root_mean_squared_error 0.113778 root_mean_squared_error 0.141835 root_mean_squared_error 0.147555 root_mean_squared_error 0.165077 root_mean_squared_error 0.171159 root_mean_squared_error 0.127999 root_mean_squared_error 0.172985 root_mean_squared_error 0.160983 root_mean_squared_error 0.200211 root_mean_squared_error 0.13554 root_mean_squared_error 0.151513 root_mean_squared_error 0.156157 root_mean_squared_error 0.158584 root_mean_squared_error 0.140606 root_mean_squared_error 0.157943 root_mean_squared_error 0.180933 root_mean_squared_error 0.119924 root_mean_squared_error 0.133645 root_mean_squared_error 0.125244 root_mean_squared_error 0.165119 root_mean_squared_error 0.144016 root_mean_squared_error 0.153203 root_mean_squared_error 0.169129 root_mean_squared_error 0.141327 root_mean_squared_error 0.141459 root_mean_squared_error 0.129184 root_mean_squared_error 0.170814 root_mean_squared_error 0.151008 root_mean_squared_error 0.123068 root_mean_squared_error 0.167497 root_mean_squared_error 0.160689 root_mean_squared_error 0.147572 root_mean_squared_error 0.119873 root_mean_squared_error 0.14557 root_mean_squared_error 0.173161 root_mean_squared_error 0.150599 root_mean_squared_error 0.180111 root_mean_squared_error 0.158622 root_mean_squared_error 0.171477 root_mean_squared_error 0.140542 root_mean_squared_error 0.141732 root_mean_squared_error 0.141758 root_mean_squared_error 0.177335 root_mean_squared_error 0.151056 root_mean_squared_error 0.128141 root_mean_squared_error 0.151876 root_mean_squared_error 0.181347 root_mean_squared_error 0.154095 root_mean_squared_error 0.153459 root_mean_squared_error 0.154557 root_mean_squared_error 0.17583 root_mean_squared_error 0.137252 root_mean_squared_error 0.169989 root_mean_squared_error 0.139708 root_mean_squared_error 0.144687 root_mean_squared_error 0.137038 root_mean_squared_error 0.151371 root_mean_squared_error 0.159322 root_mean_squared_error 0.15445 root_mean_squared_error 0.152645 root_mean_squared_error 0.165145 root_mean_squared_error 0.166615 root_mean_squared_error 0.119732 root_mean_squared_error 0.157862 root_mean_squared_error 0.154388 root_mean_squared_error 0.141891 root_mean_squared_error 0.123696 root_mean_squared_error 0.174205 root_mean_squared_error 0.149943 root_mean_squared_error 0.104652 root_mean_squared_error 0.153547 root_mean_squared_error 0.173878 root_mean_squared_error 0.140314 root_mean_squared_error 0.156942 root_mean_squared_error 0.162624 root_mean_squared_error 0.17209 root_mean_squared_error 0.132539 root_mean_squared_error 0.131452 root_relative_squared_error 0.446591 root_relative_squared_error 0.550181 root_relative_squared_error 0.510335 root_relative_squared_error 0.565482 root_relative_squared_error 0.648126 root_relative_squared_error 0.654665 root_relative_squared_error 0.680739 root_relative_squared_error 0.693367 root_relative_squared_error 0.58329 root_relative_squared_error 0.674826 root_relative_squared_error 0.588977 root_relative_squared_error 0.680067 root_relative_squared_error 0.750276 root_relative_squared_error 0.681494 root_relative_squared_error 0.619694 root_relative_squared_error 0.667532 root_relative_squared_error 0.499266 root_relative_squared_error 0.619567 root_relative_squared_error 0.579882 root_relative_squared_error 0.544677 root_relative_squared_error 0.718865 root_relative_squared_error 0.737611 root_relative_squared_error 0.47537 root_relative_squared_error 0.592596 root_relative_squared_error 0.616496 root_relative_squared_error 0.689704 root_relative_squared_error 0.715111 root_relative_squared_error 0.534788 root_relative_squared_error 0.722741 root_relative_squared_error 0.672596 root_relative_squared_error 0.836495 root_relative_squared_error 0.566294 root_relative_squared_error 0.63303 root_relative_squared_error 0.652433 root_relative_squared_error 0.662575 root_relative_squared_error 0.587461 root_relative_squared_error 0.659897 root_relative_squared_error 0.75595 root_relative_squared_error 0.501051 root_relative_squared_error 0.558379 root_relative_squared_error 0.523277 root_relative_squared_error 0.689879 root_relative_squared_error 0.601707 root_relative_squared_error 0.640092 root_relative_squared_error 0.706632 root_relative_squared_error 0.590473 root_relative_squared_error 0.591025 root_relative_squared_error 0.53974 root_relative_squared_error 0.713672 root_relative_squared_error 0.630921 root_relative_squared_error 0.514187 root_relative_squared_error 0.699815 root_relative_squared_error 0.671369 root_relative_squared_error 0.616564 root_relative_squared_error 0.500837 root_relative_squared_error 0.608199 root_relative_squared_error 0.723478 root_relative_squared_error 0.629213 root_relative_squared_error 0.752513 root_relative_squared_error 0.662731 root_relative_squared_error 0.716441 root_relative_squared_error 0.587194 root_relative_squared_error 0.592166 root_relative_squared_error 0.592274 root_relative_squared_error 0.740917 root_relative_squared_error 0.63112 root_relative_squared_error 0.535382 root_relative_squared_error 0.634549 root_relative_squared_error 0.757679 root_relative_squared_error 0.643818 root_relative_squared_error 0.641159 root_relative_squared_error 0.645749 root_relative_squared_error 0.734631 root_relative_squared_error 0.573447 root_relative_squared_error 0.710223 root_relative_squared_error 0.583711 root_relative_squared_error 0.604511 root_relative_squared_error 0.572552 root_relative_squared_error 0.632437 root_relative_squared_error 0.665656 root_relative_squared_error 0.645303 root_relative_squared_error 0.637761 root_relative_squared_error 0.689988 root_relative_squared_error 0.696128 root_relative_squared_error 0.500248 root_relative_squared_error 0.659556 root_relative_squared_error 0.645042 root_relative_squared_error 0.592828 root_relative_squared_error 0.516808 root_relative_squared_error 0.727841 root_relative_squared_error 0.626472 root_relative_squared_error 0.437243 root_relative_squared_error 0.641529 root_relative_squared_error 0.726472 root_relative_squared_error 0.586242 root_relative_squared_error 0.655713 root_relative_squared_error 0.679451 root_relative_squared_error 0.719002 root_relative_squared_error 0.553754 root_relative_squared_error 0.549216 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 20 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 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 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_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 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 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 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 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 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 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 10 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 10 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 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_training 20 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 20 usercpu_time_millis_training 20 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 20 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 20 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 20 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 20 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 20 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 20 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 20 usercpu_time_millis_training 10 usercpu_time_millis_training 20 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 20 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 20 usercpu_time_millis_training 10 usercpu_time_millis_training 20 usercpu_time_millis_training 10