352980 2 Joaquin Vanschoren 4601 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 1043 ada_agnostic https://www.openml.org/data/download/53926/ada_agnostic.arff -1 1217121 description https://api.openml.org/data/download/1217121/weka_generated_run2488961162137420663.xml -1 1217124 model_readable https://api.openml.org/data/download/1217124/WekaModel_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE721752461581070568.model -1 1217123 model_serialized https://api.openml.org/data/download/1217123/WekaSerialized_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE1287465372948799143.model -1 1217122 predictions https://api.openml.org/data/download/1217122/weka_generated_predictions1733121555817698168.arff area_under_roc_curve 0.891037 [0.891037,0.891037] average_cost 0 f_measure 0.805591 [0.853138,0.661523] kappa 0.521388 kb_relative_information_score 15650.907573 mean_absolute_error 0.219228 mean_prior_absolute_error 0.373185 number_of_instances 45620 [34300,11320] os_information [Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic] precision 0.834888 [0.925403,0.560624] predictive_accuracy 0.795156 prior_entropy 0.808488 recall 0.795156 [0.791341,0.806714] relative_absolute_error 0.587451 root_mean_prior_squared_error 0.431932 root_mean_squared_error 0.379141 root_relative_squared_error 0.87778 scimark_benchmark 1337.955175 [817.7406114508616, 1017.3997227816742, 548.5271184992718, 1085.033055190839, 3221.075364855067] total_cost 0 usercpu_time_millis 180 usercpu_time_millis_testing 120 usercpu_time_millis_training 60 area_under_roc_curve 0.885223 [0.885223,0.885223] area_under_roc_curve 0.903624 [0.903624,0.903624] area_under_roc_curve 0.879507 [0.879507,0.879507] area_under_roc_curve 0.919096 [0.919096,0.919096] area_under_roc_curve 0.885274 [0.885274,0.885274] area_under_roc_curve 0.871554 [0.871554,0.871554] area_under_roc_curve 0.879162 [0.879162,0.879162] area_under_roc_curve 0.87672 [0.87672,0.87672] area_under_roc_curve 0.893727 [0.893727,0.893727] area_under_roc_curve 0.894635 [0.894635,0.894635] area_under_roc_curve 0.904672 [0.904672,0.904672] area_under_roc_curve 0.892154 [0.892154,0.892154] area_under_roc_curve 0.886374 [0.886374,0.886374] area_under_roc_curve 0.885799 [0.885799,0.885799] area_under_roc_curve 0.879891 [0.879891,0.879891] area_under_roc_curve 0.900069 [0.900069,0.900069] area_under_roc_curve 0.883996 [0.883996,0.883996] area_under_roc_curve 0.89264 [0.89264,0.89264] area_under_roc_curve 0.883228 [0.883228,0.883228] area_under_roc_curve 0.886029 [0.886029,0.886029] area_under_roc_curve 0.864793 [0.864793,0.864793] area_under_roc_curve 0.909685 [0.909685,0.909685] area_under_roc_curve 0.91024 [0.91024,0.91024] area_under_roc_curve 0.891328 [0.891328,0.891328] area_under_roc_curve 0.895766 [0.895766,0.895766] area_under_roc_curve 0.880273 [0.880273,0.880273] area_under_roc_curve 0.873242 [0.873242,0.873242] area_under_roc_curve 0.900114 [0.900114,0.900114] area_under_roc_curve 0.894605 [0.894605,0.894605] area_under_roc_curve 0.898565 [0.898565,0.898565] area_under_roc_curve 0.908679 [0.908679,0.908679] area_under_roc_curve 0.890774 [0.890774,0.890774] area_under_roc_curve 0.892683 [0.892683,0.892683] area_under_roc_curve 0.877783 [0.877783,0.877783] area_under_roc_curve 0.898011 [0.898011,0.898011] area_under_roc_curve 0.895328 [0.895328,0.895328] area_under_roc_curve 0.885627 [0.885627,0.885627] area_under_roc_curve 0.879331 [0.879331,0.879331] area_under_roc_curve 0.912653 [0.912653,0.912653] area_under_roc_curve 0.915142 [0.915142,0.915142] area_under_roc_curve 0.911259 [0.911259,0.911259] area_under_roc_curve 0.853686 [0.853686,0.853686] area_under_roc_curve 0.88413 [0.88413,0.88413] area_under_roc_curve 0.884466 [0.884466,0.884466] area_under_roc_curve 0.893096 [0.893096,0.893096] area_under_roc_curve 0.881602 [0.881602,0.881602] area_under_roc_curve 0.898733 [0.898733,0.898733] area_under_roc_curve 0.902823 [0.902823,0.902823] area_under_roc_curve 0.888039 [0.888039,0.888039] area_under_roc_curve 0.886839 [0.886839,0.886839] area_under_roc_curve 0.916407 [0.916407,0.916407] area_under_roc_curve 0.910447 [0.910447,0.910447] area_under_roc_curve 0.879228 [0.879228,0.879228] area_under_roc_curve 0.879705 [0.879705,0.879705] area_under_roc_curve 0.861155 [0.861155,0.861155] area_under_roc_curve 0.887097 [0.887097,0.887097] area_under_roc_curve 0.901636 [0.901636,0.901636] area_under_roc_curve 0.887265 [0.887265,0.887265] area_under_roc_curve 0.899185 [0.899185,0.899185] area_under_roc_curve 0.902474 [0.902474,0.902474] area_under_roc_curve 0.889419 [0.889419,0.889419] area_under_roc_curve 0.894566 [0.894566,0.894566] area_under_roc_curve 0.894799 [0.894799,0.894799] area_under_roc_curve 0.904422 [0.904422,0.904422] area_under_roc_curve 0.888426 [0.888426,0.888426] area_under_roc_curve 0.878402 [0.878402,0.878402] area_under_roc_curve 0.892257 [0.892257,0.892257] area_under_roc_curve 0.906422 [0.906422,0.906422] area_under_roc_curve 0.876777 [0.876777,0.876777] area_under_roc_curve 0.865489 [0.865489,0.865489] area_under_roc_curve 0.88524 [0.88524,0.88524] area_under_roc_curve 0.898823 [0.898823,0.898823] area_under_roc_curve 0.895237 [0.895237,0.895237] area_under_roc_curve 0.871875 [0.871875,0.871875] area_under_roc_curve 0.905854 [0.905854,0.905854] area_under_roc_curve 0.902074 [0.902074,0.902074] area_under_roc_curve 0.882801 [0.882801,0.882801] area_under_roc_curve 0.893792 [0.893792,0.893792] area_under_roc_curve 0.884595 [0.884595,0.884595] area_under_roc_curve 0.873036 [0.873036,0.873036] area_under_roc_curve 0.871991 [0.871991,0.871991] area_under_roc_curve 0.882014 [0.882014,0.882014] area_under_roc_curve 0.886762 [0.886762,0.886762] area_under_roc_curve 0.886065 [0.886065,0.886065] area_under_roc_curve 0.882582 [0.882582,0.882582] area_under_roc_curve 0.914484 [0.914484,0.914484] area_under_roc_curve 0.915813 [0.915813,0.915813] area_under_roc_curve 0.8888 [0.8888,0.8888] area_under_roc_curve 0.876377 [0.876377,0.876377] area_under_roc_curve 0.916084 [0.916084,0.916084] area_under_roc_curve 0.879022 [0.879022,0.879022] area_under_roc_curve 0.876093 [0.876093,0.876093] area_under_roc_curve 0.911917 [0.911917,0.911917] area_under_roc_curve 0.924314 [0.924314,0.924314] area_under_roc_curve 0.915658 [0.915658,0.915658] area_under_roc_curve 0.905274 [0.905274,0.905274] area_under_roc_curve 0.904009 [0.904009,0.904009] area_under_roc_curve 0.881821 [0.881821,0.881821] area_under_roc_curve 0.891496 [0.891496,0.891496] area_under_roc_curve 0.874532 [0.874532,0.874532] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.80808 [0.861069,0.648649] f_measure 0.825016 [0.86875,0.693431] f_measure 0.789576 [0.836538,0.648276] f_measure 0.830285 [0.869841,0.711268] f_measure 0.808071 [0.856698,0.661765] f_measure 0.805413 [0.860182,0.640625] f_measure 0.805539 [0.855814,0.654275] f_measure 0.792784 [0.841772,0.64539] f_measure 0.814466 [0.861154,0.673993] f_measure 0.80862 [0.855799,0.666667] f_measure 0.807628 [0.852146,0.673684] f_measure 0.822541 [0.867807,0.686347] f_measure 0.788377 [0.839117,0.635714] f_measure 0.809417 [0.859351,0.659176] f_measure 0.788377 [0.839117,0.635714] f_measure 0.819436 [0.867692,0.674242] f_measure 0.796413 [0.845912,0.647482] f_measure 0.804723 [0.852201,0.661871] f_measure 0.800299 [0.84953,0.652174] f_measure 0.800367 [0.854071,0.638783] f_measure 0.794593 [0.848297,0.631579] f_measure 0.815844 [0.858054,0.687719] f_measure 0.80974 [0.853035,0.678322] f_measure 0.805229 [0.855814,0.651685] f_measure 0.811361 [0.860681,0.661654] f_measure 0.792968 [0.840764,0.647887] f_measure 0.793299 [0.845554,0.634686] f_measure 0.82589 [0.871716,0.686792] f_measure 0.802733 [0.849921,0.659498] f_measure 0.801651 [0.851794,0.649446] f_measure 0.807774 [0.8512,0.675958] f_measure 0.822707 [0.87156,0.674419] f_measure 0.814706 [0.860283,0.676364] f_measure 0.79663 [0.844937,0.65] f_measure 0.815637 [0.858506,0.685512] f_measure 0.814448 [0.86072,0.673993] f_measure 0.79858 [0.846761,0.65233] f_measure 0.78949 [0.836013,0.648276] f_measure 0.832011 [0.871632,0.711744] f_measure 0.816042 [0.8576,0.689895] f_measure 0.835746 [0.875591,0.714801] f_measure 0.769278 [0.81877,0.619048] f_measure 0.801468 [0.846645,0.664336] f_measure 0.825597 [0.872111,0.684411] f_measure 0.804931 [0.851266,0.664286] f_measure 0.798828 [0.846276,0.654804] f_measure 0.803429 [0.848485,0.666667] f_measure 0.822787 [0.86698,0.688645] f_measure 0.790274 [0.840442,0.637993] f_measure 0.812228 [0.859375,0.669118] f_measure 0.823498 [0.865719,0.695341] f_measure 0.812495 [0.858934,0.671533] f_measure 0.787192 [0.840625,0.625] f_measure 0.811049 [0.861111,0.659091] f_measure 0.779277 [0.827697,0.632302] f_measure 0.795537 [0.846875,0.639706] f_measure 0.815846 [0.863354,0.671642] f_measure 0.80053 [0.84858,0.654676] f_measure 0.802479 [0.850394,0.65704] f_measure 0.820032 [0.86646,0.679104] f_measure 0.800718 [0.853168,0.641509] f_measure 0.79663 [0.844937,0.65] f_measure 0.802479 [0.850394,0.65704] f_measure 0.77835 [0.822368,0.644737] f_measure 0.80685 [0.858025,0.651515] f_measure 0.790779 [0.839428,0.64311] f_measure 0.805166 [0.850794,0.666667] f_measure 0.816662 [0.862069,0.678832] f_measure 0.794163 [0.844094,0.642599] f_measure 0.79971 [0.85,0.647059] f_measure 0.790274 [0.840442,0.637993] f_measure 0.815192 [0.8594,0.681004] f_measure 0.82591 [0.875758,0.674603] f_measure 0.770064 [0.823529,0.607774] f_measure 0.81887 [0.863422,0.683636] f_measure 0.804931 [0.851266,0.664286] f_measure 0.815192 [0.8594,0.681004] f_measure 0.801249 [0.847134,0.661972] f_measure 0.79717 [0.849145,0.639405] f_measure 0.772515 [0.824281,0.615385] f_measure 0.805229 [0.855814,0.651685] f_measure 0.796107 [0.845912,0.644928] f_measure 0.810542 [0.857143,0.669091] f_measure 0.792729 [0.84127,0.64539] f_measure 0.794922 [0.842607,0.650177] f_measure 0.823034 [0.866562,0.690909] f_measure 0.819567 [0.862124,0.690391] f_measure 0.801651 [0.851794,0.649446] f_measure 0.792218 [0.842271,0.640288] f_measure 0.811494 [0.855326,0.678445] f_measure 0.789878 [0.834951,0.653061] f_measure 0.801041 [0.852713,0.644195] f_measure 0.825597 [0.872111,0.684411] f_measure 0.84561 [0.884375,0.727941] f_measure 0.834808 [0.877138,0.70632] f_measure 0.809939 [0.852564,0.680556] f_measure 0.79971 [0.85,0.647059] f_measure 0.792664 [0.846512,0.629213] f_measure 0.799291 [0.845295,0.659649] f_measure 0.804161 [0.852665,0.656934] kappa 0.512479 kappa 0.567401 kappa 0.49553 kappa 0.588324 kappa 0.523743 kappa 0.50312 kappa 0.51479 kappa 0.495418 kappa 0.540465 kappa 0.528634 kappa 0.534271 kappa 0.558835 kappa 0.48271 kappa 0.522729 kappa 0.48271 kappa 0.545368 kappa 0.500457 kappa 0.520847 kappa 0.508139 kappa 0.496457 kappa 0.484674 kappa 0.554453 kappa 0.540594 kappa 0.51226 kappa 0.526742 kappa 0.498118 kappa 0.486229 kappa 0.56239 kappa 0.5171 kappa 0.506988 kappa 0.536768 kappa 0.548717 kappa 0.542911 kappa 0.503124 kappa 0.552191 kappa 0.540531 kappa 0.506934 kappa 0.495739 kappa 0.590365 kappa 0.556692 kappa 0.596361 kappa 0.45177 kappa 0.52062 kappa 0.56005 kappa 0.523405 kappa 0.509449 kappa 0.524416 kappa 0.561181 kappa 0.486601 kappa 0.534155 kappa 0.567932 kappa 0.536575 kappa 0.472042 kappa 0.524218 kappa 0.472336 kappa 0.492747 kappa 0.5397 kappa 0.510762 kappa 0.514611 kappa 0.550162 kappa 0.499121 kappa 0.503124 kappa 0.514611 kappa 0.484087 kappa 0.513645 kappa 0.491813 kappa 0.52583 kappa 0.546873 kappa 0.494174 kappa 0.503099 kappa 0.486601 kappa 0.547599 kappa 0.552181 kappa 0.441497 kappa 0.553183 kappa 0.523405 kappa 0.547599 kappa 0.518193 kappa 0.493959 kappa 0.450711 kappa 0.51226 kappa 0.497989 kappa 0.53264 kappa 0.495564 kappa 0.501876 kappa 0.563455 kappa 0.560021 kappa 0.506988 kappa 0.490378 kappa 0.542128 kappa 0.500719 kappa 0.501771 kappa 0.56005 kappa 0.616972 kappa 0.587864 kappa 0.542897 kappa 0.503099 kappa 0.480793 kappa 0.514404 kappa 0.515978 kb_relative_information_score 168.016332 kb_relative_information_score 162.930813 kb_relative_information_score 132.027138 kb_relative_information_score 186.608039 kb_relative_information_score 159.047796 kb_relative_information_score 158.834063 kb_relative_information_score 158.771532 kb_relative_information_score 127.083699 kb_relative_information_score 166.604261 kb_relative_information_score 163.700624 kb_relative_information_score 151.083908 kb_relative_information_score 172.811608 kb_relative_information_score 146.624438 kb_relative_information_score 159.863571 kb_relative_information_score 152.313379 kb_relative_information_score 182.671787 kb_relative_information_score 153.066222 kb_relative_information_score 163.226369 kb_relative_information_score 158.914453 kb_relative_information_score 165.106067 kb_relative_information_score 140.925407 kb_relative_information_score 168.033913 kb_relative_information_score 157.792905 kb_relative_information_score 160.315094 kb_relative_information_score 163.686932 kb_relative_information_score 133.95364 kb_relative_information_score 140.342238 kb_relative_information_score 181.156151 kb_relative_information_score 162.988497 kb_relative_information_score 161.088916 kb_relative_information_score 160.604127 kb_relative_information_score 175.797528 kb_relative_information_score 162.444158 kb_relative_information_score 146.693647 kb_relative_information_score 155.887964 kb_relative_information_score 160.544795 kb_relative_information_score 137.207953 kb_relative_information_score 134.728981 kb_relative_information_score 174.330544 kb_relative_information_score 164.963047 kb_relative_information_score 187.597345 kb_relative_information_score 112.182117 kb_relative_information_score 154.061297 kb_relative_information_score 174.656894 kb_relative_information_score 149.001069 kb_relative_information_score 142.314752 kb_relative_information_score 168.774151 kb_relative_information_score 175.48397 kb_relative_information_score 148.23488 kb_relative_information_score 163.264017 kb_relative_information_score 177.074354 kb_relative_information_score 164.809208 kb_relative_information_score 144.831023 kb_relative_information_score 157.007802 kb_relative_information_score 117.544954 kb_relative_information_score 149.060432 kb_relative_information_score 174.701283 kb_relative_information_score 150.877097 kb_relative_information_score 164.26408 kb_relative_information_score 166.64931 kb_relative_information_score 152.091593 kb_relative_information_score 145.591647 kb_relative_information_score 153.235946 kb_relative_information_score 126.396132 kb_relative_information_score 170.378327 kb_relative_information_score 138.315184 kb_relative_information_score 146.698595 kb_relative_information_score 171.774928 kb_relative_information_score 144.051976 kb_relative_information_score 142.962941 kb_relative_information_score 134.881379 kb_relative_information_score 154.589601 kb_relative_information_score 187.562786 kb_relative_information_score 126.433766 kb_relative_information_score 176.8438 kb_relative_information_score 158.758146 kb_relative_information_score 152.620323 kb_relative_information_score 156.228913 kb_relative_information_score 146.07644 kb_relative_information_score 126.341975 kb_relative_information_score 157.16865 kb_relative_information_score 154.401012 kb_relative_information_score 148.828725 kb_relative_information_score 142.81661 kb_relative_information_score 137.908071 kb_relative_information_score 187.782276 kb_relative_information_score 173.32714 kb_relative_information_score 151.198156 kb_relative_information_score 143.695113 kb_relative_information_score 164.450834 kb_relative_information_score 135.996973 kb_relative_information_score 156.02309 kb_relative_information_score 182.52143 kb_relative_information_score 187.464777 kb_relative_information_score 182.613124 kb_relative_information_score 156.921422 kb_relative_information_score 163.053678 kb_relative_information_score 149.215601 kb_relative_information_score 143.101938 kb_relative_information_score 145.401983 mean_absolute_error 0.212589 mean_absolute_error 0.214183 mean_absolute_error 0.23718 mean_absolute_error 0.201002 mean_absolute_error 0.217787 mean_absolute_error 0.21982 mean_absolute_error 0.219612 mean_absolute_error 0.238896 mean_absolute_error 0.213817 mean_absolute_error 0.217208 mean_absolute_error 0.223174 mean_absolute_error 0.210257 mean_absolute_error 0.225838 mean_absolute_error 0.21619 mean_absolute_error 0.223187 mean_absolute_error 0.202936 mean_absolute_error 0.220266 mean_absolute_error 0.216703 mean_absolute_error 0.22029 mean_absolute_error 0.215458 mean_absolute_error 0.229755 mean_absolute_error 0.210248 mean_absolute_error 0.217409 mean_absolute_error 0.215339 mean_absolute_error 0.215103 mean_absolute_error 0.23655 mean_absolute_error 0.231448 mean_absolute_error 0.201918 mean_absolute_error 0.213506 mean_absolute_error 0.21394 mean_absolute_error 0.214382 mean_absolute_error 0.205794 mean_absolute_error 0.214399 mean_absolute_error 0.225371 mean_absolute_error 0.219493 mean_absolute_error 0.216304 mean_absolute_error 0.232257 mean_absolute_error 0.235287 mean_absolute_error 0.208171 mean_absolute_error 0.21106 mean_absolute_error 0.197861 mean_absolute_error 0.251239 mean_absolute_error 0.221919 mean_absolute_error 0.207458 mean_absolute_error 0.223671 mean_absolute_error 0.230493 mean_absolute_error 0.210961 mean_absolute_error 0.206768 mean_absolute_error 0.222709 mean_absolute_error 0.214865 mean_absolute_error 0.204446 mean_absolute_error 0.211029 mean_absolute_error 0.22561 mean_absolute_error 0.222687 mean_absolute_error 0.24481 mean_absolute_error 0.22327 mean_absolute_error 0.205862 mean_absolute_error 0.221994 mean_absolute_error 0.214564 mean_absolute_error 0.211908 mean_absolute_error 0.220063 mean_absolute_error 0.226624 mean_absolute_error 0.220338 mean_absolute_error 0.236582 mean_absolute_error 0.210486 mean_absolute_error 0.231885 mean_absolute_error 0.225772 mean_absolute_error 0.210992 mean_absolute_error 0.227549 mean_absolute_error 0.230915 mean_absolute_error 0.234397 mean_absolute_error 0.219421 mean_absolute_error 0.198218 mean_absolute_error 0.238474 mean_absolute_error 0.205162 mean_absolute_error 0.214541 mean_absolute_error 0.222799 mean_absolute_error 0.21884 mean_absolute_error 0.225087 mean_absolute_error 0.239798 mean_absolute_error 0.220384 mean_absolute_error 0.220185 mean_absolute_error 0.225214 mean_absolute_error 0.229521 mean_absolute_error 0.232008 mean_absolute_error 0.197364 mean_absolute_error 0.207093 mean_absolute_error 0.22266 mean_absolute_error 0.226924 mean_absolute_error 0.210733 mean_absolute_error 0.23576 mean_absolute_error 0.221231 mean_absolute_error 0.20279 mean_absolute_error 0.195819 mean_absolute_error 0.201703 mean_absolute_error 0.217108 mean_absolute_error 0.213708 mean_absolute_error 0.222899 mean_absolute_error 0.228317 mean_absolute_error 0.225244 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] precision 0.82289 [0.903846,0.57931] precision 0.850645 [0.936027,0.59375] precision 0.830358 [0.928826,0.534091] precision 0.864755 [0.954704,0.594118] precision 0.832396 [0.919732,0.56962] precision 0.818351 [0.898413,0.577465] precision 0.827555 [0.913907,0.567742] precision 0.825935 [0.920415,0.541667] precision 0.839475 [0.926174,0.578616] precision 0.836239 [0.925424,0.567901] precision 0.843354 [0.937063,0.561404] precision 0.845774 [0.93,0.592357] precision 0.81981 [0.914089,0.536145] precision 0.829832 [0.914474,0.575163] precision 0.81981 [0.914089,0.536145] precision 0.837436 [0.918567,0.593333] precision 0.825964 [0.918089,0.54878] precision 0.834129 [0.924915,0.560976] precision 0.828071 [0.918644,0.555556] precision 0.818073 [0.902597,0.563758] precision 0.816252 [0.90429,0.54902] precision 0.853657 [0.947183,0.569767] precision 0.84861 [0.943463,0.560694] precision 0.82743 [0.913907,0.564935] precision 0.83266 [0.917492,0.575163] precision 0.830091 [0.926316,0.538012] precision 0.818924 [0.909396,0.544304] precision 0.846116 [0.927632,0.598684] precision 0.835063 [0.927586,0.554217] precision 0.827109 [0.916107,0.556962] precision 0.847661 [0.943262,0.557471] precision 0.837993 [0.916399,0.6] precision 0.843283 [0.931973,0.574074] precision 0.829965 [0.923875,0.54491] precision 0.851508 [0.944056,0.570588] precision 0.841317 [0.929054,0.575] precision 0.830976 [0.924138,0.548193] precision 0.832572 [0.9319,0.531073] precision 0.865744 [0.954861,0.595238] precision 0.855844 [0.950355,0.568966] precision 0.86572 [0.952055,0.603659] precision 0.816606 [0.92,0.502762] precision 0.840429 [0.936396,0.549133] precision 0.84434 [0.924837,0.6] precision 0.838138 [0.930796,0.556886] precision 0.833049 [0.927083,0.547619] precision 0.841389 [0.93662,0.552326] precision 0.849497 [0.935811,0.5875] precision 0.822803 [0.917241,0.536145] precision 0.838302 [0.925926,0.572327] precision 0.855496 [0.944828,0.584337] precision 0.840251 [0.928814,0.571429] precision 0.813755 [0.905724,0.534591] precision 0.830848 [0.914754,0.576159] precision 0.823453 [0.92446,0.516854] precision 0.821937 [0.912458,0.54717] precision 0.838604 [0.923588,0.580645] precision 0.831995 [0.924399,0.551515] precision 0.833024 [0.924658,0.554878] precision 0.842702 [0.92691,0.587097] precision 0.821488 [0.907895,0.559211] precision 0.829965 [0.923875,0.54491] precision 0.833024 [0.924658,0.554878] precision 0.836763 [0.943396,0.513089] precision 0.826741 [0.911475,0.569536] precision 0.826982 [0.923077,0.535294] precision 0.84023 [0.933798,0.556213] precision 0.84434 [0.932203,0.57764] precision 0.82485 [0.917808,0.542683] precision 0.826028 [0.915825,0.553459] precision 0.822803 [0.917241,0.536145] precision 0.847322 [0.937931,0.572289] precision 0.83729 [0.911672,0.611511] precision 0.806543 [0.905594,0.505882] precision 0.847371 [0.935374,0.580247] precision 0.838138 [0.930796,0.556886] precision 0.847322 [0.937931,0.572289] precision 0.838268 [0.933333,0.549708] precision 0.821107 [0.91,0.551282] precision 0.811797 [0.911661,0.508671] precision 0.82743 [0.913907,0.564935] precision 0.825886 [0.918089,0.546012] precision 0.839195 [0.928571,0.567901] precision 0.827968 [0.923345,0.538462] precision 0.831069 [0.926573,0.541176] precision 0.851459 [0.938776,0.58642] precision 0.853484 [0.944444,0.577381] precision 0.827109 [0.916107,0.556962] precision 0.823822 [0.917526,0.539394] precision 0.84742 [0.940559,0.564706] precision 0.837127 [0.938182,0.530387] precision 0.82333 [0.910596,0.558442] precision 0.84434 [0.924837,0.6] precision 0.871031 [0.952862,0.622642] precision 0.85797 [0.94,0.608974] precision 0.850812 [0.946619,0.56] precision 0.826028 [0.915825,0.553459] precision 0.81513 [0.903974,0.545455] precision 0.8373 [0.933099,0.546512] precision 0.832073 [0.922034,0.559006] predictive_accuracy 0.800875 predictive_accuracy 0.816193 predictive_accuracy 0.776805 predictive_accuracy 0.820569 predictive_accuracy 0.798687 predictive_accuracy 0.798687 predictive_accuracy 0.796499 predictive_accuracy 0.781182 predictive_accuracy 0.805252 predictive_accuracy 0.798687 predictive_accuracy 0.796499 predictive_accuracy 0.814004 predictive_accuracy 0.776805 predictive_accuracy 0.800875 predictive_accuracy 0.776805 predictive_accuracy 0.811816 predictive_accuracy 0.785558 predictive_accuracy 0.794311 predictive_accuracy 0.789934 predictive_accuracy 0.792123 predictive_accuracy 0.785088 predictive_accuracy 0.804825 predictive_accuracy 0.798246 predictive_accuracy 0.796053 predictive_accuracy 0.802632 predictive_accuracy 0.780702 predictive_accuracy 0.782895 predictive_accuracy 0.817982 predictive_accuracy 0.791667 predictive_accuracy 0.791667 predictive_accuracy 0.796053 predictive_accuracy 0.815789 predictive_accuracy 0.804825 predictive_accuracy 0.785088 predictive_accuracy 0.804825 predictive_accuracy 0.804825 predictive_accuracy 0.787281 predictive_accuracy 0.776316 predictive_accuracy 0.822368 predictive_accuracy 0.804825 predictive_accuracy 0.826754 predictive_accuracy 0.754386 predictive_accuracy 0.789474 predictive_accuracy 0.817982 predictive_accuracy 0.79386 predictive_accuracy 0.787281 predictive_accuracy 0.791667 predictive_accuracy 0.813596 predictive_accuracy 0.778509 predictive_accuracy 0.802632 predictive_accuracy 0.813596 predictive_accuracy 0.802632 predictive_accuracy 0.776316 predictive_accuracy 0.802632 predictive_accuracy 0.765351 predictive_accuracy 0.785088 predictive_accuracy 0.807018 predictive_accuracy 0.789474 predictive_accuracy 0.791667 predictive_accuracy 0.811404 predictive_accuracy 0.791667 predictive_accuracy 0.785088 predictive_accuracy 0.791667 predictive_accuracy 0.763158 predictive_accuracy 0.798246 predictive_accuracy 0.778509 predictive_accuracy 0.79386 predictive_accuracy 0.807018 predictive_accuracy 0.782895 predictive_accuracy 0.789474 predictive_accuracy 0.778509 predictive_accuracy 0.804825 predictive_accuracy 0.820175 predictive_accuracy 0.756579 predictive_accuracy 0.809211 predictive_accuracy 0.79386 predictive_accuracy 0.804825 predictive_accuracy 0.789474 predictive_accuracy 0.787281 predictive_accuracy 0.758772 predictive_accuracy 0.796053 predictive_accuracy 0.785088 predictive_accuracy 0.800439 predictive_accuracy 0.780702 predictive_accuracy 0.782895 predictive_accuracy 0.813596 predictive_accuracy 0.809211 predictive_accuracy 0.791667 predictive_accuracy 0.780702 predictive_accuracy 0.800439 predictive_accuracy 0.776316 predictive_accuracy 0.791667 predictive_accuracy 0.817982 predictive_accuracy 0.837719 predictive_accuracy 0.826754 predictive_accuracy 0.798246 predictive_accuracy 0.789474 predictive_accuracy 0.782895 predictive_accuracy 0.787281 predictive_accuracy 0.79386 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 recall 0.800875 [0.822157,0.736842] recall 0.816193 [0.810496,0.833333] recall 0.776805 [0.760933,0.824561] recall 0.820569 [0.798834,0.885965] recall 0.798687 [0.801749,0.789474] recall 0.798687 [0.825073,0.719298] recall 0.796499 [0.804665,0.77193] recall 0.781182 [0.77551,0.798246] recall 0.805252 [0.804665,0.807018] recall 0.798687 [0.795918,0.807018] recall 0.796499 [0.781341,0.842105] recall 0.814004 [0.813411,0.815789] recall 0.776805 [0.77551,0.780702] recall 0.800875 [0.810496,0.77193] recall 0.776805 [0.77551,0.780702] recall 0.811816 [0.822157,0.780702] recall 0.785558 [0.784257,0.789474] recall 0.794311 [0.790087,0.807018] recall 0.789934 [0.790087,0.789474] recall 0.792123 [0.810496,0.736842] recall 0.785088 [0.798834,0.743363] recall 0.804825 [0.784257,0.867257] recall 0.798246 [0.778426,0.858407] recall 0.796053 [0.804665,0.769912] recall 0.802632 [0.810496,0.778761] recall 0.780702 [0.769679,0.814159] recall 0.782895 [0.790087,0.761062] recall 0.817982 [0.822157,0.80531] recall 0.791667 [0.784257,0.814159] recall 0.791667 [0.795918,0.778761] recall 0.796053 [0.77551,0.858407] recall 0.815789 [0.830904,0.769912] recall 0.804825 [0.798834,0.823009] recall 0.785088 [0.778426,0.80531] recall 0.804825 [0.787172,0.858407] recall 0.804825 [0.801749,0.814159] recall 0.787281 [0.781341,0.80531] recall 0.776316 [0.758017,0.831858] recall 0.822368 [0.801749,0.884956] recall 0.804825 [0.781341,0.876106] recall 0.826754 [0.810496,0.876106] recall 0.754386 [0.737609,0.80531] recall 0.789474 [0.772595,0.840708] recall 0.817982 [0.825073,0.79646] recall 0.79386 [0.784257,0.823009] recall 0.787281 [0.778426,0.814159] recall 0.791667 [0.77551,0.840708] recall 0.813596 [0.80758,0.831858] recall 0.778509 [0.77551,0.787611] recall 0.802632 [0.801749,0.80531] recall 0.813596 [0.798834,0.858407] recall 0.802632 [0.798834,0.814159] recall 0.776316 [0.784257,0.752212] recall 0.802632 [0.813411,0.769912] recall 0.765351 [0.749271,0.814159] recall 0.785088 [0.790087,0.769912] recall 0.807018 [0.810496,0.79646] recall 0.789474 [0.784257,0.80531] recall 0.791667 [0.787172,0.80531] recall 0.811404 [0.813411,0.80531] recall 0.791667 [0.804665,0.752212] recall 0.785088 [0.778426,0.80531] recall 0.791667 [0.787172,0.80531] recall 0.763158 [0.728863,0.867257] recall 0.798246 [0.810496,0.761062] recall 0.778509 [0.769679,0.80531] recall 0.79386 [0.781341,0.831858] recall 0.807018 [0.801749,0.823009] recall 0.782895 [0.781341,0.787611] recall 0.789474 [0.793003,0.778761] recall 0.778509 [0.77551,0.787611] recall 0.804825 [0.793003,0.840708] recall 0.820175 [0.842566,0.752212] recall 0.756579 [0.755102,0.761062] recall 0.809211 [0.801749,0.831858] recall 0.79386 [0.784257,0.823009] recall 0.804825 [0.793003,0.840708] recall 0.789474 [0.77551,0.831858] recall 0.787281 [0.795918,0.761062] recall 0.758772 [0.752187,0.778761] recall 0.796053 [0.804665,0.769912] recall 0.785088 [0.784257,0.787611] recall 0.800439 [0.795918,0.814159] recall 0.780702 [0.772595,0.80531] recall 0.782895 [0.772595,0.814159] recall 0.813596 [0.804665,0.840708] recall 0.809211 [0.793003,0.858407] recall 0.791667 [0.795918,0.778761] recall 0.780702 [0.778426,0.787611] recall 0.800439 [0.784257,0.849558] recall 0.776316 [0.752187,0.849558] recall 0.791667 [0.801749,0.761062] recall 0.817982 [0.825073,0.79646] recall 0.837719 [0.825073,0.876106] recall 0.826754 [0.822157,0.840708] recall 0.798246 [0.77551,0.867257] recall 0.789474 [0.793003,0.778761] recall 0.782895 [0.795918,0.743363] recall 0.787281 [0.772595,0.831858] recall 0.79386 [0.793003,0.79646] relative_absolute_error 0.568652 relative_absolute_error 0.572914 relative_absolute_error 0.634428 relative_absolute_error 0.537656 relative_absolute_error 0.582555 relative_absolute_error 0.587992 relative_absolute_error 0.587438 relative_absolute_error 0.639018 relative_absolute_error 0.571937 relative_absolute_error 0.581005 relative_absolute_error 0.596964 relative_absolute_error 0.562413 relative_absolute_error 0.604089 relative_absolute_error 0.578283 relative_absolute_error 0.597 relative_absolute_error 0.542829 relative_absolute_error 0.589187 relative_absolute_error 0.579654 relative_absolute_error 0.589251 relative_absolute_error 0.576324 relative_absolute_error 0.615934 relative_absolute_error 0.563637 relative_absolute_error 0.582837 relative_absolute_error 0.577286 relative_absolute_error 0.576654 relative_absolute_error 0.63415 relative_absolute_error 0.620473 relative_absolute_error 0.541307 relative_absolute_error 0.572372 relative_absolute_error 0.573535 relative_absolute_error 0.574721 relative_absolute_error 0.551699 relative_absolute_error 0.574767 relative_absolute_error 0.60418 relative_absolute_error 0.588423 relative_absolute_error 0.579875 relative_absolute_error 0.622641 relative_absolute_error 0.630764 relative_absolute_error 0.558071 relative_absolute_error 0.565816 relative_absolute_error 0.53043 relative_absolute_error 0.673529 relative_absolute_error 0.594927 relative_absolute_error 0.556158 relative_absolute_error 0.599624 relative_absolute_error 0.617911 relative_absolute_error 0.565549 relative_absolute_error 0.55431 relative_absolute_error 0.597044 relative_absolute_error 0.576016 relative_absolute_error 0.548084 relative_absolute_error 0.565732 relative_absolute_error 0.60482 relative_absolute_error 0.596985 relative_absolute_error 0.656292 relative_absolute_error 0.598547 relative_absolute_error 0.551879 relative_absolute_error 0.595126 relative_absolute_error 0.575209 relative_absolute_error 0.56809 relative_absolute_error 0.589952 relative_absolute_error 0.607541 relative_absolute_error 0.590687 relative_absolute_error 0.634235 relative_absolute_error 0.564276 relative_absolute_error 0.621644 relative_absolute_error 0.605256 relative_absolute_error 0.565633 relative_absolute_error 0.610019 relative_absolute_error 0.619043 relative_absolute_error 0.628376 relative_absolute_error 0.58823 relative_absolute_error 0.531389 relative_absolute_error 0.639308 relative_absolute_error 0.550004 relative_absolute_error 0.575148 relative_absolute_error 0.597284 relative_absolute_error 0.586672 relative_absolute_error 0.603419 relative_absolute_error 0.642858 relative_absolute_error 0.59081 relative_absolute_error 0.590278 relative_absolute_error 0.60376 relative_absolute_error 0.615307 relative_absolute_error 0.621974 relative_absolute_error 0.529099 relative_absolute_error 0.555179 relative_absolute_error 0.596913 relative_absolute_error 0.608343 relative_absolute_error 0.564938 relative_absolute_error 0.632031 relative_absolute_error 0.593082 relative_absolute_error 0.543644 relative_absolute_error 0.524957 relative_absolute_error 0.540731 relative_absolute_error 0.58203 relative_absolute_error 0.572915 relative_absolute_error 0.597553 relative_absolute_error 0.612077 relative_absolute_error 0.603841 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_squared_error 0.377591 root_mean_squared_error 0.369995 root_mean_squared_error 0.394036 root_mean_squared_error 0.355859 root_mean_squared_error 0.377387 root_mean_squared_error 0.380131 root_mean_squared_error 0.384711 root_mean_squared_error 0.398164 root_mean_squared_error 0.374134 root_mean_squared_error 0.372114 root_mean_squared_error 0.381758 root_mean_squared_error 0.367071 root_mean_squared_error 0.376725 root_mean_squared_error 0.379439 root_mean_squared_error 0.385917 root_mean_squared_error 0.362511 root_mean_squared_error 0.380818 root_mean_squared_error 0.37612 root_mean_squared_error 0.384423 root_mean_squared_error 0.371481 root_mean_squared_error 0.392422 root_mean_squared_error 0.369573 root_mean_squared_error 0.37571 root_mean_squared_error 0.376855 root_mean_squared_error 0.365922 root_mean_squared_error 0.395075 root_mean_squared_error 0.395136 root_mean_squared_error 0.366408 root_mean_squared_error 0.376675 root_mean_squared_error 0.378272 root_mean_squared_error 0.373887 root_mean_squared_error 0.369947 root_mean_squared_error 0.38353 root_mean_squared_error 0.38521 root_mean_squared_error 0.372929 root_mean_squared_error 0.375357 root_mean_squared_error 0.391212 root_mean_squared_error 0.393808 root_mean_squared_error 0.363713 root_mean_squared_error 0.374409 root_mean_squared_error 0.354112 root_mean_squared_error 0.419592 root_mean_squared_error 0.38948 root_mean_squared_error 0.368607 root_mean_squared_error 0.382208 root_mean_squared_error 0.386753 root_mean_squared_error 0.381021 root_mean_squared_error 0.36459 root_mean_squared_error 0.376832 root_mean_squared_error 0.372572 root_mean_squared_error 0.36133 root_mean_squared_error 0.361144 root_mean_squared_error 0.391339 root_mean_squared_error 0.380466 root_mean_squared_error 0.408162 root_mean_squared_error 0.380049 root_mean_squared_error 0.365045 root_mean_squared_error 0.38807 root_mean_squared_error 0.376527 root_mean_squared_error 0.3731 root_mean_squared_error 0.371595 root_mean_squared_error 0.38296 root_mean_squared_error 0.377802 root_mean_squared_error 0.400963 root_mean_squared_error 0.379707 root_mean_squared_error 0.39169 root_mean_squared_error 0.384973 root_mean_squared_error 0.36194 root_mean_squared_error 0.390061 root_mean_squared_error 0.391198 root_mean_squared_error 0.397634 root_mean_squared_error 0.379019 root_mean_squared_error 0.354914 root_mean_squared_error 0.401031 root_mean_squared_error 0.370058 root_mean_squared_error 0.374 root_mean_squared_error 0.38157 root_mean_squared_error 0.379061 root_mean_squared_error 0.388926 root_mean_squared_error 0.403102 root_mean_squared_error 0.378145 root_mean_squared_error 0.37914 root_mean_squared_error 0.387973 root_mean_squared_error 0.383939 root_mean_squared_error 0.395869 root_mean_squared_error 0.361083 root_mean_squared_error 0.364868 root_mean_squared_error 0.383288 root_mean_squared_error 0.390623 root_mean_squared_error 0.366656 root_mean_squared_error 0.397817 root_mean_squared_error 0.38316 root_mean_squared_error 0.351615 root_mean_squared_error 0.351577 root_mean_squared_error 0.350331 root_mean_squared_error 0.38226 root_mean_squared_error 0.360547 root_mean_squared_error 0.380592 root_mean_squared_error 0.381219 root_mean_squared_error 0.391948 root_relative_squared_error 0.872643 root_relative_squared_error 0.855088 root_relative_squared_error 0.910648 root_relative_squared_error 0.82242 root_relative_squared_error 0.872171 root_relative_squared_error 0.878512 root_relative_squared_error 0.889098 root_relative_squared_error 0.920188 root_relative_squared_error 0.864655 root_relative_squared_error 0.859986 root_relative_squared_error 0.882273 root_relative_squared_error 0.848331 root_relative_squared_error 0.870641 root_relative_squared_error 0.876913 root_relative_squared_error 0.891884 root_relative_squared_error 0.837792 root_relative_squared_error 0.880101 root_relative_squared_error 0.869243 root_relative_squared_error 0.888432 root_relative_squared_error 0.858523 root_relative_squared_error 0.908932 root_relative_squared_error 0.856009 root_relative_squared_error 0.870224 root_relative_squared_error 0.872876 root_relative_squared_error 0.847554 root_relative_squared_error 0.915077 root_relative_squared_error 0.915219 root_relative_squared_error 0.848679 root_relative_squared_error 0.87246 root_relative_squared_error 0.876158 root_relative_squared_error 0.866001 root_relative_squared_error 0.856875 root_relative_squared_error 0.888336 root_relative_squared_error 0.892228 root_relative_squared_error 0.863784 root_relative_squared_error 0.869407 root_relative_squared_error 0.906129 root_relative_squared_error 0.912143 root_relative_squared_error 0.842437 root_relative_squared_error 0.86721 root_relative_squared_error 0.820198 root_relative_squared_error 0.971863 root_relative_squared_error 0.902119 root_relative_squared_error 0.853773 root_relative_squared_error 0.885275 root_relative_squared_error 0.895802 root_relative_squared_error 0.882526 root_relative_squared_error 0.844467 root_relative_squared_error 0.872823 root_relative_squared_error 0.862956 root_relative_squared_error 0.836918 root_relative_squared_error 0.836486 root_relative_squared_error 0.906424 root_relative_squared_error 0.881239 root_relative_squared_error 0.94539 root_relative_squared_error 0.880274 root_relative_squared_error 0.845522 root_relative_squared_error 0.898853 root_relative_squared_error 0.872116 root_relative_squared_error 0.864179 root_relative_squared_error 0.860693 root_relative_squared_error 0.887017 root_relative_squared_error 0.875071 root_relative_squared_error 0.928715 root_relative_squared_error 0.879482 root_relative_squared_error 0.907236 root_relative_squared_error 0.89168 root_relative_squared_error 0.83833 root_relative_squared_error 0.903465 root_relative_squared_error 0.906098 root_relative_squared_error 0.921005 root_relative_squared_error 0.877888 root_relative_squared_error 0.822055 root_relative_squared_error 0.928873 root_relative_squared_error 0.857132 root_relative_squared_error 0.866264 root_relative_squared_error 0.883797 root_relative_squared_error 0.877985 root_relative_squared_error 0.900835 root_relative_squared_error 0.93367 root_relative_squared_error 0.875865 root_relative_squared_error 0.878168 root_relative_squared_error 0.898628 root_relative_squared_error 0.889285 root_relative_squared_error 0.916917 root_relative_squared_error 0.836344 root_relative_squared_error 0.845112 root_relative_squared_error 0.887776 root_relative_squared_error 0.904765 root_relative_squared_error 0.849253 root_relative_squared_error 0.921429 root_relative_squared_error 0.887481 root_relative_squared_error 0.814415 root_relative_squared_error 0.814327 root_relative_squared_error 0.811441 root_relative_squared_error 0.885396 root_relative_squared_error 0.835103 root_relative_squared_error 0.881531 root_relative_squared_error 0.882984 root_relative_squared_error 0.907835 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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 70 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 80 usercpu_time_millis 60 usercpu_time_millis 70 usercpu_time_millis 60 usercpu_time_millis 70 usercpu_time_millis 70 usercpu_time_millis 70 usercpu_time_millis 60 usercpu_time_millis 70 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 70 usercpu_time_millis 60 usercpu_time_millis 70 usercpu_time_millis 70 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 70 usercpu_time_millis 70 usercpu_time_millis 70 usercpu_time_millis 70 usercpu_time_millis 70 usercpu_time_millis 60 usercpu_time_millis 70 usercpu_time_millis 70 usercpu_time_millis 70 usercpu_time_millis 70 usercpu_time_millis 70 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 70 usercpu_time_millis 70 usercpu_time_millis 70 usercpu_time_millis 60 usercpu_time_millis 70 usercpu_time_millis 60 usercpu_time_millis 70 usercpu_time_millis 50 usercpu_time_millis 70 usercpu_time_millis 60 usercpu_time_millis 70 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 70 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 70 usercpu_time_millis 70 usercpu_time_millis 70 usercpu_time_millis 70 usercpu_time_millis 60 usercpu_time_millis 70 usercpu_time_millis 60 usercpu_time_millis 70 usercpu_time_millis 60 usercpu_time_millis 70 usercpu_time_millis 70 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 70 usercpu_time_millis 60 usercpu_time_millis 70 usercpu_time_millis 70 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 70 usercpu_time_millis 70 usercpu_time_millis 70 usercpu_time_millis 70 usercpu_time_millis 60 usercpu_time_millis 70 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 70 usercpu_time_millis 70 usercpu_time_millis 60 usercpu_time_millis 70 usercpu_time_millis 60 usercpu_time_millis 70 usercpu_time_millis 60 usercpu_time_millis 70 usercpu_time_millis 70 usercpu_time_millis 70 usercpu_time_millis 60 usercpu_time_millis 70 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 20 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 20 usercpu_time_millis_testing 10 usercpu_time_millis_testing 20 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 20 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 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