437195 2 Joaquin Vanschoren 4350 Supervised Classification predictive_accuracy 1196 weka.RotationForest_PrincipalComponents_J48(14) 2065 weka.classifiers.meta.RotationForest -- -G 3 -H 3 -P 50 -F "weka.filters.unsupervised.attribute.PrincipalComponents -R 1.0 -A 5 -M -1" -S 1 -num-slots 1 -I 80 -W weka.classifiers.trees.J48 -- -C 0.25 -M 2 C 0.25 1068 M 2 1068 R 1.0 1164 A 5 1164 M -1 1164 G 3 1196 H 3 1196 P 50 1196 F weka.filters.unsupervised.attribute.PrincipalComponents 1196 S 1 1196 num-slots 1 1196 I 80 1196 W weka.classifiers.trees.J48 1196 weka weka_3.7.12 779 fri_c1_500_25 https://www.openml.org/data/download/53313/fri_c1_500_25.arff -1 1528989 description https://api.openml.org/data/download/1528989/weka_generated_run2262477562217443147.xml -1 1528992 model_readable https://api.openml.org/data/download/1528992/WekaModel_weka.classifiers.meta.RotationForest3362420209092429088.model -1 1528991 model_serialized https://api.openml.org/data/download/1528991/WekaSerialized_weka.classifiers.meta.RotationForest5910016794092590726.model -1 1528990 predictions https://api.openml.org/data/download/1528990/weka_generated_predictions6146252322787832188.arff area_under_roc_curve 0.893781 [0.893781,0.893781] average_cost 0 f_measure 0.817802 [0.809762,0.824818] kappa 0.634842 kb_relative_information_score 1761.376533 mean_absolute_error 0.344729 mean_prior_absolute_error 0.497697 number_of_instances 5000 [2330,2670] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.819178 [0.787744,0.846609] predictive_accuracy 0.8176 prior_entropy 0.996688 recall 0.8176 [0.833047,0.80412] relative_absolute_error 0.692649 root_mean_prior_squared_error 0.498843 root_mean_squared_error 0.383169 root_relative_squared_error 0.768115 scimark_benchmark 933.345534 [557.0873895316777, 1011.5249537742577, 441.869051235415, 905.8189936379142, 1750.4272808716194] total_cost 0 usercpu_time_millis 3410 usercpu_time_millis_testing 1260 usercpu_time_millis_training 2150 area_under_roc_curve 0.89211 [0.89211,0.89211] area_under_roc_curve 0.974235 [0.974235,0.974235] area_under_roc_curve 0.909823 [0.909823,0.909823] area_under_roc_curve 0.929147 [0.929147,0.929147] area_under_roc_curve 0.879808 [0.879808,0.879808] area_under_roc_curve 0.887279 [0.887279,0.887279] area_under_roc_curve 0.94525 [0.94525,0.94525] area_under_roc_curve 0.886218 [0.886218,0.886218] area_under_roc_curve 0.837359 [0.837359,0.837359] area_under_roc_curve 0.937198 [0.937198,0.937198] area_under_roc_curve 0.877617 [0.877617,0.877617] area_under_roc_curve 0.950081 [0.950081,0.950081] area_under_roc_curve 0.94525 [0.94525,0.94525] area_under_roc_curve 0.942029 [0.942029,0.942029] area_under_roc_curve 0.81891 [0.81891,0.81891] area_under_roc_curve 0.89533 [0.89533,0.89533] area_under_roc_curve 0.848631 [0.848631,0.848631] area_under_roc_curve 0.862179 [0.862179,0.862179] area_under_roc_curve 0.888889 [0.888889,0.888889] area_under_roc_curve 0.906602 [0.906602,0.906602] area_under_roc_curve 0.961353 [0.961353,0.961353] area_under_roc_curve 0.971014 [0.971014,0.971014] area_under_roc_curve 0.89211 [0.89211,0.89211] area_under_roc_curve 0.908213 [0.908213,0.908213] area_under_roc_curve 0.876603 [0.876603,0.876603] area_under_roc_curve 0.929147 [0.929147,0.929147] area_under_roc_curve 0.913043 [0.913043,0.913043] area_under_roc_curve 0.866987 [0.866987,0.866987] area_under_roc_curve 0.962963 [0.962963,0.962963] area_under_roc_curve 0.866345 [0.866345,0.866345] area_under_roc_curve 0.858293 [0.858293,0.858293] area_under_roc_curve 0.855072 [0.855072,0.855072] area_under_roc_curve 0.913043 [0.913043,0.913043] area_under_roc_curve 0.84058 [0.84058,0.84058] area_under_roc_curve 0.933977 [0.933977,0.933977] area_under_roc_curve 0.967794 [0.967794,0.967794] area_under_roc_curve 0.887279 [0.887279,0.887279] area_under_roc_curve 0.864734 [0.864734,0.864734] area_under_roc_curve 0.938808 [0.938808,0.938808] area_under_roc_curve 0.861514 [0.861514,0.861514] area_under_roc_curve 0.943639 [0.943639,0.943639] area_under_roc_curve 0.785829 [0.785829,0.785829] area_under_roc_curve 0.904992 [0.904992,0.904992] area_under_roc_curve 0.911433 [0.911433,0.911433] area_under_roc_curve 0.890499 [0.890499,0.890499] area_under_roc_curve 0.837359 [0.837359,0.837359] area_under_roc_curve 0.967794 [0.967794,0.967794] area_under_roc_curve 0.884058 [0.884058,0.884058] area_under_roc_curve 0.879227 [0.879227,0.879227] area_under_roc_curve 0.856683 [0.856683,0.856683] area_under_roc_curve 0.901771 [0.901771,0.901771] area_under_roc_curve 0.929147 [0.929147,0.929147] area_under_roc_curve 0.884058 [0.884058,0.884058] area_under_roc_curve 0.940419 [0.940419,0.940419] area_under_roc_curve 0.858293 [0.858293,0.858293] area_under_roc_curve 0.935588 [0.935588,0.935588] area_under_roc_curve 0.980676 [0.980676,0.980676] area_under_roc_curve 0.814815 [0.814815,0.814815] area_under_roc_curve 0.983897 [0.983897,0.983897] area_under_roc_curve 0.914654 [0.914654,0.914654] area_under_roc_curve 0.932367 [0.932367,0.932367] area_under_roc_curve 0.879227 [0.879227,0.879227] area_under_roc_curve 0.933977 [0.933977,0.933977] area_under_roc_curve 0.916264 [0.916264,0.916264] area_under_roc_curve 0.938808 [0.938808,0.938808] area_under_roc_curve 0.838969 [0.838969,0.838969] area_under_roc_curve 0.819646 [0.819646,0.819646] area_under_roc_curve 0.943639 [0.943639,0.943639] area_under_roc_curve 0.906602 [0.906602,0.906602] area_under_roc_curve 0.911433 [0.911433,0.911433] area_under_roc_curve 0.844551 [0.844551,0.844551] area_under_roc_curve 0.891026 [0.891026,0.891026] area_under_roc_curve 0.794872 [0.794872,0.794872] area_under_roc_curve 0.855769 [0.855769,0.855769] area_under_roc_curve 0.887279 [0.887279,0.887279] area_under_roc_curve 0.88141 [0.88141,0.88141] area_under_roc_curve 0.897436 [0.897436,0.897436] area_under_roc_curve 0.921095 [0.921095,0.921095] area_under_roc_curve 0.862179 [0.862179,0.862179] area_under_roc_curve 0.791667 [0.791667,0.791667] area_under_roc_curve 0.897436 [0.897436,0.897436] area_under_roc_curve 0.876603 [0.876603,0.876603] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 0.844551 [0.844551,0.844551] area_under_roc_curve 0.938808 [0.938808,0.938808] area_under_roc_curve 0.921474 [0.921474,0.921474] area_under_roc_curve 0.934295 [0.934295,0.934295] area_under_roc_curve 0.906602 [0.906602,0.906602] area_under_roc_curve 0.801282 [0.801282,0.801282] area_under_roc_curve 0.846154 [0.846154,0.846154] area_under_roc_curve 0.926282 [0.926282,0.926282] area_under_roc_curve 0.865385 [0.865385,0.865385] area_under_roc_curve 0.900641 [0.900641,0.900641] area_under_roc_curve 0.889423 [0.889423,0.889423] area_under_roc_curve 0.917874 [0.917874,0.917874] area_under_roc_curve 0.883013 [0.883013,0.883013] area_under_roc_curve 0.836538 [0.836538,0.836538] area_under_roc_curve 0.94525 [0.94525,0.94525] area_under_roc_curve 0.892628 [0.892628,0.892628] area_under_roc_curve 0.926282 [0.926282,0.926282] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.860169 [0.851064,0.867925] f_measure 0.90012 [0.893617,0.90566] f_measure 0.860168 [0.857143,0.862745] f_measure 0.860168 [0.857143,0.862745] f_measure 0.776889 [0.8,0.755556] f_measure 0.839221 [0.818182,0.857143] f_measure 0.85972 [0.862745,0.857143] f_measure 0.8 [0.791667,0.807692] f_measure 0.758831 [0.727273,0.785714] f_measure 0.88 [0.88,0.88] f_measure 0.818483 [0.830189,0.808511] f_measure 0.879416 [0.863636,0.892857] f_measure 0.880192 [0.875,0.884615] f_measure 0.799026 [0.772727,0.821429] f_measure 0.678969 [0.652174,0.703704] f_measure 0.818483 [0.830189,0.808511] f_measure 0.720449 [0.708333,0.730769] f_measure 0.820072 [0.816327,0.823529] f_measure 0.879423 [0.884615,0.875] f_measure 0.8 [0.782609,0.814815] f_measure 0.860168 [0.857143,0.862745] f_measure 0.899798 [0.888889,0.909091] f_measure 0.860169 [0.851064,0.867925] f_measure 0.81964 [0.823529,0.816327] f_measure 0.819783 [0.808511,0.830189] f_measure 0.84 [0.826087,0.851852] f_measure 0.84 [0.84,0.84] f_measure 0.8 [0.8,0.8] f_measure 0.90012 [0.893617,0.90566] f_measure 0.820217 [0.808511,0.830189] f_measure 0.76 [0.73913,0.777778] f_measure 0.8 [0.782609,0.814815] f_measure 0.860168 [0.857143,0.862745] f_measure 0.740312 [0.734694,0.745098] f_measure 0.84 [0.84,0.84] f_measure 0.90012 [0.893617,0.90566] f_measure 0.820216 [0.816327,0.823529] f_measure 0.716322 [0.666667,0.758621] f_measure 0.90012 [0.893617,0.90566] f_measure 0.72 [0.72,0.72] f_measure 0.860168 [0.857143,0.862745] f_measure 0.72 [0.72,0.72] f_measure 0.819636 [0.8,0.836364] f_measure 0.81964 [0.823529,0.816327] f_measure 0.879416 [0.863636,0.892857] f_measure 0.8 [0.8,0.8] f_measure 0.91961 [0.909091,0.928571] f_measure 0.779556 [0.755556,0.8] f_measure 0.800321 [0.791667,0.807692] f_measure 0.799038 [0.807692,0.791667] f_measure 0.799026 [0.772727,0.821429] f_measure 0.839221 [0.818182,0.857143] f_measure 0.860169 [0.851064,0.867925] f_measure 0.879416 [0.863636,0.892857] f_measure 0.840256 [0.833333,0.846154] f_measure 0.840256 [0.833333,0.846154] f_measure 0.92 [0.913043,0.925926] f_measure 0.73948 [0.745098,0.734694] f_measure 0.92 [0.913043,0.925926] f_measure 0.859717 [0.844444,0.872727] f_measure 0.839221 [0.818182,0.857143] f_measure 0.758846 [0.769231,0.75] f_measure 0.880192 [0.875,0.884615] f_measure 0.879423 [0.884615,0.875] f_measure 0.88 [0.88,0.88] f_measure 0.739475 [0.711111,0.763636] f_measure 0.699394 [0.666667,0.727273] f_measure 0.88 [0.869565,0.888889] f_measure 0.820216 [0.816327,0.823529] f_measure 0.840256 [0.833333,0.846154] f_measure 0.698193 [0.716981,0.680851] f_measure 0.738424 [0.711111,0.763636] f_measure 0.664 [0.733333,0.6] f_measure 0.799356 [0.782609,0.814815] f_measure 0.780265 [0.765957,0.792453] f_measure 0.740104 [0.734694,0.745098] f_measure 0.860056 [0.857143,0.862745] f_measure 0.81964 [0.823529,0.816327] f_measure 0.8 [0.8,0.8] f_measure 0.717273 [0.681818,0.75] f_measure 0.798052 [0.772727,0.821429] f_measure 0.819784 [0.823529,0.816327] f_measure 0.695716 [0.651163,0.736842] f_measure 0.736287 [0.697674,0.77193] f_measure 0.939879 [0.933333,0.945455] f_measure 0.879614 [0.869565,0.888889] f_measure 0.839487 [0.846154,0.833333] f_measure 0.859717 [0.844444,0.872727] f_measure 0.738424 [0.711111,0.763636] f_measure 0.778675 [0.792453,0.765957] f_measure 0.88 [0.875,0.884615] f_measure 0.76 [0.76,0.76] f_measure 0.779736 [0.784314,0.77551] f_measure 0.738434 [0.754717,0.723404] f_measure 0.820217 [0.808511,0.830189] f_measure 0.8 [0.8,0.8] f_measure 0.780088 [0.77551,0.784314] f_measure 0.840256 [0.833333,0.846154] f_measure 0.819783 [0.808511,0.830189] f_measure 0.860056 [0.857143,0.862745] kappa 0.719101 kappa 0.799358 kappa 0.720893 kappa 0.720893 kappa 0.564184 kappa 0.675851 kappa 0.722662 kappa 0.599359 kappa 0.513776 kappa 0.761526 kappa 0.645669 kappa 0.756888 kappa 0.76 kappa 0.594814 kappa 0.356913 kappa 0.645669 kappa 0.44 kappa 0.64 kappa 0.763033 kappa 0.597424 kappa 0.720893 kappa 0.798061 kappa 0.719101 kappa 0.643423 kappa 0.638844 kappa 0.677939 kappa 0.682035 kappa 0.600639 kappa 0.799358 kappa 0.638844 kappa 0.516908 kappa 0.597424 kappa 0.720893 kappa 0.481659 kappa 0.682035 kappa 0.799358 kappa 0.641148 kappa 0.429038 kappa 0.799358 kappa 0.443561 kappa 0.720893 kappa 0.443561 kappa 0.636511 kappa 0.643423 kappa 0.756888 kappa 0.602544 kappa 0.837925 kappa 0.555735 kappa 0.6 kappa 0.605055 kappa 0.594814 kappa 0.675851 kappa 0.719101 kappa 0.756888 kappa 0.68 kappa 0.68 kappa 0.838969 kappa 0.484945 kappa 0.838969 kappa 0.717286 kappa 0.675851 kappa 0.526066 kappa 0.76 kappa 0.763033 kappa 0.761526 kappa 0.47496 kappa 0.394184 kappa 0.758454 kappa 0.641148 kappa 0.68 kappa 0.403816 kappa 0.476651 kappa 0.371069 kappa 0.598071 kappa 0.558587 kappa 0.48 kappa 0.72 kappa 0.643423 kappa 0.600639 kappa 0.435484 kappa 0.596774 kappa 0.641148 kappa 0.394184 kappa 0.47496 kappa 0.878837 kappa 0.758842 kappa 0.681529 kappa 0.717286 kappa 0.476651 kappa 0.562798 kappa 0.759615 kappa 0.520767 kappa 0.561404 kappa 0.483307 kappa 0.638844 kappa 0.600639 kappa 0.56 kappa 0.68 kappa 0.638844 kappa 0.72 kb_relative_information_score 17.948131 kb_relative_information_score 23.44179 kb_relative_information_score 17.349191 kb_relative_information_score 18.403176 kb_relative_information_score 17.411752 kb_relative_information_score 19.336825 kb_relative_information_score 19.207671 kb_relative_information_score 17.022684 kb_relative_information_score 14.391887 kb_relative_information_score 19.712835 kb_relative_information_score 17.345035 kb_relative_information_score 21.153016 kb_relative_information_score 19.930928 kb_relative_information_score 21.157935 kb_relative_information_score 14.473421 kb_relative_information_score 15.259481 kb_relative_information_score 14.123738 kb_relative_information_score 15.941504 kb_relative_information_score 17.863943 kb_relative_information_score 17.908913 kb_relative_information_score 22.048922 kb_relative_information_score 21.062646 kb_relative_information_score 18.306343 kb_relative_information_score 16.786046 kb_relative_information_score 13.456561 kb_relative_information_score 18.183458 kb_relative_information_score 16.10547 kb_relative_information_score 15.683024 kb_relative_information_score 20.934502 kb_relative_information_score 18.147158 kb_relative_information_score 16.400506 kb_relative_information_score 15.632107 kb_relative_information_score 20.086215 kb_relative_information_score 16.261909 kb_relative_information_score 20.059026 kb_relative_information_score 19.026853 kb_relative_information_score 18.285894 kb_relative_information_score 14.47364 kb_relative_information_score 18.462621 kb_relative_information_score 14.276909 kb_relative_information_score 19.803292 kb_relative_information_score 11.067328 kb_relative_information_score 17.284656 kb_relative_information_score 19.731097 kb_relative_information_score 18.318628 kb_relative_information_score 14.45843 kb_relative_information_score 21.836147 kb_relative_information_score 16.819188 kb_relative_information_score 15.754823 kb_relative_information_score 15.984995 kb_relative_information_score 18.197737 kb_relative_information_score 18.556888 kb_relative_information_score 18.823127 kb_relative_information_score 20.669537 kb_relative_information_score 17.797307 kb_relative_information_score 19.555573 kb_relative_information_score 22.71665 kb_relative_information_score 14.481491 kb_relative_information_score 22.066186 kb_relative_information_score 19.895487 kb_relative_information_score 20.266271 kb_relative_information_score 16.40803 kb_relative_information_score 19.326887 kb_relative_information_score 18.803303 kb_relative_information_score 17.92543 kb_relative_information_score 14.903587 kb_relative_information_score 13.996029 kb_relative_information_score 20.166312 kb_relative_information_score 20.269299 kb_relative_information_score 18.962739 kb_relative_information_score 13.725853 kb_relative_information_score 16.898957 kb_relative_information_score 10.833319 kb_relative_information_score 14.141131 kb_relative_information_score 18.164005 kb_relative_information_score 17.536864 kb_relative_information_score 18.602575 kb_relative_information_score 16.097627 kb_relative_information_score 15.864466 kb_relative_information_score 13.756967 kb_relative_information_score 16.566613 kb_relative_information_score 17.551878 kb_relative_information_score 15.907231 kb_relative_information_score 15.442166 kb_relative_information_score 19.509477 kb_relative_information_score 18.396743 kb_relative_information_score 18.57596 kb_relative_information_score 19.278741 kb_relative_information_score 13.378155 kb_relative_information_score 14.01976 kb_relative_information_score 18.771954 kb_relative_information_score 17.533224 kb_relative_information_score 18.041756 kb_relative_information_score 15.261789 kb_relative_information_score 19.802663 kb_relative_information_score 16.915938 kb_relative_information_score 15.297264 kb_relative_information_score 20.882565 kb_relative_information_score 17.6721 kb_relative_information_score 19.038674 mean_absolute_error 0.343242 mean_absolute_error 0.293034 mean_absolute_error 0.346893 mean_absolute_error 0.339763 mean_absolute_error 0.345249 mean_absolute_error 0.32457 mean_absolute_error 0.330628 mean_absolute_error 0.353036 mean_absolute_error 0.372262 mean_absolute_error 0.327724 mean_absolute_error 0.347216 mean_absolute_error 0.31229 mean_absolute_error 0.325225 mean_absolute_error 0.308819 mean_absolute_error 0.366745 mean_absolute_error 0.367118 mean_absolute_error 0.373852 mean_absolute_error 0.362468 mean_absolute_error 0.346322 mean_absolute_error 0.340575 mean_absolute_error 0.302895 mean_absolute_error 0.316349 mean_absolute_error 0.338749 mean_absolute_error 0.351047 mean_absolute_error 0.384495 mean_absolute_error 0.339518 mean_absolute_error 0.361859 mean_absolute_error 0.362553 mean_absolute_error 0.316138 mean_absolute_error 0.341202 mean_absolute_error 0.35335 mean_absolute_error 0.36257 mean_absolute_error 0.323162 mean_absolute_error 0.352132 mean_absolute_error 0.321367 mean_absolute_error 0.336031 mean_absolute_error 0.336614 mean_absolute_error 0.371679 mean_absolute_error 0.339939 mean_absolute_error 0.373278 mean_absolute_error 0.326348 mean_absolute_error 0.401419 mean_absolute_error 0.347122 mean_absolute_error 0.322464 mean_absolute_error 0.343571 mean_absolute_error 0.373295 mean_absolute_error 0.308457 mean_absolute_error 0.34871 mean_absolute_error 0.36207 mean_absolute_error 0.359297 mean_absolute_error 0.337797 mean_absolute_error 0.337049 mean_absolute_error 0.332217 mean_absolute_error 0.317435 mean_absolute_error 0.34371 mean_absolute_error 0.326987 mean_absolute_error 0.301501 mean_absolute_error 0.369733 mean_absolute_error 0.30967 mean_absolute_error 0.324318 mean_absolute_error 0.322498 mean_absolute_error 0.351116 mean_absolute_error 0.331082 mean_absolute_error 0.336222 mean_absolute_error 0.345767 mean_absolute_error 0.3671 mean_absolute_error 0.37102 mean_absolute_error 0.322241 mean_absolute_error 0.31971 mean_absolute_error 0.332049 mean_absolute_error 0.379333 mean_absolute_error 0.349971 mean_absolute_error 0.405777 mean_absolute_error 0.379242 mean_absolute_error 0.338174 mean_absolute_error 0.343883 mean_absolute_error 0.338924 mean_absolute_error 0.35809 mean_absolute_error 0.359705 mean_absolute_error 0.376154 mean_absolute_error 0.353582 mean_absolute_error 0.346344 mean_absolute_error 0.357998 mean_absolute_error 0.361849 mean_absolute_error 0.331155 mean_absolute_error 0.343855 mean_absolute_error 0.336426 mean_absolute_error 0.327521 mean_absolute_error 0.380845 mean_absolute_error 0.377464 mean_absolute_error 0.336812 mean_absolute_error 0.342163 mean_absolute_error 0.341798 mean_absolute_error 0.36743 mean_absolute_error 0.324304 mean_absolute_error 0.351333 mean_absolute_error 0.366877 mean_absolute_error 0.3158 mean_absolute_error 0.34265 mean_absolute_error 0.33355 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.498645 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.498645 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.498645 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.498645 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.498645 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.498645 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.498645 mean_prior_absolute_error 0.498645 mean_prior_absolute_error 0.498645 mean_prior_absolute_error 0.498645 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.498645 mean_prior_absolute_error 0.498645 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.498645 mean_prior_absolute_error 0.498645 mean_prior_absolute_error 0.498645 mean_prior_absolute_error 0.498645 mean_prior_absolute_error 0.498645 mean_prior_absolute_error 0.498645 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.498645 mean_prior_absolute_error 0.498645 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.498645 mean_prior_absolute_error 0.498645 mean_prior_absolute_error 0.498645 mean_prior_absolute_error 0.498645 mean_prior_absolute_error 0.498645 mean_prior_absolute_error 0.498645 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.498645 mean_prior_absolute_error 0.498645 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.498645 mean_prior_absolute_error 0.498645 number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [24,26] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [24,26] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [24,26] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [24,26] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [24,26] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [24,26] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [24,26] number_of_instances 50 [24,26] number_of_instances 50 [24,26] number_of_instances 50 [24,26] number_of_instances 50 [23,27] number_of_instances 50 [24,26] number_of_instances 50 [24,26] number_of_instances 50 [23,27] number_of_instances 50 [24,26] number_of_instances 50 [24,26] number_of_instances 50 [24,26] number_of_instances 50 [24,26] number_of_instances 50 [24,26] number_of_instances 50 [24,26] number_of_instances 50 [23,27] number_of_instances 50 [24,26] number_of_instances 50 [24,26] number_of_instances 50 [23,27] number_of_instances 50 [24,26] number_of_instances 50 [24,26] number_of_instances 50 [24,26] number_of_instances 50 [24,26] number_of_instances 50 [24,26] number_of_instances 50 [24,26] number_of_instances 50 [23,27] number_of_instances 50 [24,26] number_of_instances 50 [24,26] number_of_instances 50 [23,27] number_of_instances 50 [24,26] number_of_instances 50 [24,26] precision 0.861026 [0.833333,0.884615] precision 0.900962 [0.875,0.923077] precision 0.866538 [0.807692,0.916667] precision 0.866538 [0.807692,0.916667] precision 0.805908 [0.709677,0.894737] precision 0.841182 [0.857143,0.827586] precision 0.876883 [0.785714,0.954545] precision 0.8 [0.791667,0.807692] precision 0.760131 [0.761905,0.758621] precision 0.891337 [0.814815,0.956522] precision 0.850333 [0.733333,0.95] precision 0.881708 [0.904762,0.862069] precision 0.8832 [0.84,0.92] precision 0.800657 [0.809524,0.793103] precision 0.68013 [0.681818,0.678571] precision 0.850333 [0.733333,0.95] precision 0.7232 [0.68,0.76] precision 0.8208 [0.8,0.84] precision 0.904828 [0.793103,1] precision 0.8 [0.782609,0.814815] precision 0.866538 [0.807692,0.916667] precision 0.900325 [0.909091,0.892857] precision 0.861026 [0.833333,0.884615] precision 0.835909 [0.75,0.909091] precision 0.820225 [0.826087,0.814815] precision 0.84 [0.826087,0.851852] precision 0.850821 [0.777778,0.913043] precision 0.802564 [0.769231,0.833333] precision 0.900962 [0.875,0.923077] precision 0.82109 [0.791667,0.846154] precision 0.76 [0.73913,0.777778] precision 0.8 [0.782609,0.814815] precision 0.866538 [0.807692,0.916667] precision 0.745962 [0.692308,0.791667] precision 0.850821 [0.777778,0.913043] precision 0.900962 [0.875,0.923077] precision 0.826346 [0.769231,0.875] precision 0.722173 [0.736842,0.709677] precision 0.900962 [0.875,0.923077] precision 0.729275 [0.666667,0.782609] precision 0.866538 [0.807692,0.916667] precision 0.729275 [0.666667,0.782609] precision 0.819935 [0.818182,0.821429] precision 0.835909 [0.75,0.909091] precision 0.881708 [0.904762,0.862069] precision 0.810306 [0.740741,0.869565] precision 0.922233 [0.952381,0.896552] precision 0.77974 [0.772727,0.785714] precision 0.8032 [0.76,0.84] precision 0.821675 [0.724138,0.904762] precision 0.800657 [0.809524,0.793103] precision 0.841182 [0.857143,0.827586] precision 0.861026 [0.833333,0.884615] precision 0.881708 [0.904762,0.862069] precision 0.8432 [0.8,0.88] precision 0.8432 [0.8,0.88] precision 0.92 [0.913043,0.925926] precision 0.753961 [0.678571,0.818182] precision 0.92 [0.913043,0.925926] precision 0.86013 [0.863636,0.857143] precision 0.841182 [0.857143,0.827586] precision 0.780099 [0.689655,0.857143] precision 0.8832 [0.84,0.92] precision 0.904828 [0.793103,1] precision 0.891337 [0.814815,0.956522] precision 0.739545 [0.727273,0.75] precision 0.699351 [0.681818,0.714286] precision 0.88 [0.869565,0.888889] precision 0.826346 [0.769231,0.875] precision 0.8432 [0.8,0.88] precision 0.710673 [0.655172,0.761905] precision 0.742266 [0.761905,0.724138] precision 0.739048 [0.611111,0.857143] precision 0.801299 [0.818182,0.785714] precision 0.781154 [0.75,0.807692] precision 0.7408 [0.72,0.76] precision 0.8608 [0.84,0.88] precision 0.835909 [0.75,0.909091] precision 0.802564 [0.769231,0.833333] precision 0.724 [0.75,0.7] precision 0.806667 [0.85,0.766667] precision 0.825507 [0.777778,0.869565] precision 0.705942 [0.736842,0.677419] precision 0.74798 [0.789474,0.709677] precision 0.940519 [0.954545,0.928571] precision 0.882078 [0.909091,0.857143] precision 0.84987 [0.785714,0.909091] precision 0.86013 [0.863636,0.857143] precision 0.742266 [0.761905,0.724138] precision 0.7933 [0.724138,0.857143] precision 0.88 [0.875,0.884615] precision 0.762436 [0.730769,0.791667] precision 0.785121 [0.740741,0.826087] precision 0.751987 [0.689655,0.809524] precision 0.82109 [0.791667,0.846154] precision 0.802564 [0.769231,0.833333] precision 0.7808 [0.76,0.8] precision 0.8432 [0.8,0.88] precision 0.820225 [0.826087,0.814815] precision 0.8608 [0.84,0.88] predictive_accuracy 0.86 predictive_accuracy 0.9 predictive_accuracy 0.86 predictive_accuracy 0.86 predictive_accuracy 0.78 predictive_accuracy 0.84 predictive_accuracy 0.86 predictive_accuracy 0.8 predictive_accuracy 0.76 predictive_accuracy 0.88 predictive_accuracy 0.82 predictive_accuracy 0.88 predictive_accuracy 0.88 predictive_accuracy 0.8 predictive_accuracy 0.68 predictive_accuracy 0.82 predictive_accuracy 0.72 predictive_accuracy 0.82 predictive_accuracy 0.88 predictive_accuracy 0.8 predictive_accuracy 0.86 predictive_accuracy 0.9 predictive_accuracy 0.86 predictive_accuracy 0.82 predictive_accuracy 0.82 predictive_accuracy 0.84 predictive_accuracy 0.84 predictive_accuracy 0.8 predictive_accuracy 0.9 predictive_accuracy 0.82 predictive_accuracy 0.76 predictive_accuracy 0.8 predictive_accuracy 0.86 predictive_accuracy 0.74 predictive_accuracy 0.84 predictive_accuracy 0.9 predictive_accuracy 0.82 predictive_accuracy 0.72 predictive_accuracy 0.9 predictive_accuracy 0.72 predictive_accuracy 0.86 predictive_accuracy 0.72 predictive_accuracy 0.82 predictive_accuracy 0.82 predictive_accuracy 0.88 predictive_accuracy 0.8 predictive_accuracy 0.92 predictive_accuracy 0.78 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.84 predictive_accuracy 0.86 predictive_accuracy 0.88 predictive_accuracy 0.84 predictive_accuracy 0.84 predictive_accuracy 0.92 predictive_accuracy 0.74 predictive_accuracy 0.92 predictive_accuracy 0.86 predictive_accuracy 0.84 predictive_accuracy 0.76 predictive_accuracy 0.88 predictive_accuracy 0.88 predictive_accuracy 0.88 predictive_accuracy 0.74 predictive_accuracy 0.7 predictive_accuracy 0.88 predictive_accuracy 0.82 predictive_accuracy 0.84 predictive_accuracy 0.7 predictive_accuracy 0.74 predictive_accuracy 0.68 predictive_accuracy 0.8 predictive_accuracy 0.78 predictive_accuracy 0.74 predictive_accuracy 0.86 predictive_accuracy 0.82 predictive_accuracy 0.8 predictive_accuracy 0.72 predictive_accuracy 0.8 predictive_accuracy 0.82 predictive_accuracy 0.7 predictive_accuracy 0.74 predictive_accuracy 0.94 predictive_accuracy 0.88 predictive_accuracy 0.84 predictive_accuracy 0.86 predictive_accuracy 0.74 predictive_accuracy 0.78 predictive_accuracy 0.88 predictive_accuracy 0.76 predictive_accuracy 0.78 predictive_accuracy 0.74 predictive_accuracy 0.82 predictive_accuracy 0.8 predictive_accuracy 0.78 predictive_accuracy 0.84 predictive_accuracy 0.82 predictive_accuracy 0.86 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 recall 0.86 [0.869565,0.851852] recall 0.9 [0.913043,0.888889] recall 0.86 [0.913043,0.814815] recall 0.86 [0.913043,0.814815] recall 0.78 [0.916667,0.653846] recall 0.84 [0.782609,0.888889] recall 0.86 [0.956522,0.777778] recall 0.8 [0.791667,0.807692] recall 0.76 [0.695652,0.814815] recall 0.88 [0.956522,0.814815] recall 0.82 [0.956522,0.703704] recall 0.88 [0.826087,0.925926] recall 0.88 [0.913043,0.851852] recall 0.8 [0.73913,0.851852] recall 0.68 [0.625,0.730769] recall 0.82 [0.956522,0.703704] recall 0.72 [0.73913,0.703704] recall 0.82 [0.833333,0.807692] recall 0.88 [1,0.777778] recall 0.8 [0.782609,0.814815] recall 0.86 [0.913043,0.814815] recall 0.9 [0.869565,0.925926] recall 0.86 [0.869565,0.851852] recall 0.82 [0.913043,0.740741] recall 0.82 [0.791667,0.846154] recall 0.84 [0.826087,0.851852] recall 0.84 [0.913043,0.777778] recall 0.8 [0.833333,0.769231] recall 0.9 [0.913043,0.888889] recall 0.82 [0.826087,0.814815] recall 0.76 [0.73913,0.777778] recall 0.8 [0.782609,0.814815] recall 0.86 [0.913043,0.814815] recall 0.74 [0.782609,0.703704] recall 0.84 [0.913043,0.777778] recall 0.9 [0.913043,0.888889] recall 0.82 [0.869565,0.777778] recall 0.72 [0.608696,0.814815] recall 0.9 [0.913043,0.888889] recall 0.72 [0.782609,0.666667] recall 0.86 [0.913043,0.814815] recall 0.72 [0.782609,0.666667] recall 0.82 [0.782609,0.851852] recall 0.82 [0.913043,0.740741] recall 0.88 [0.826087,0.925926] recall 0.8 [0.869565,0.740741] recall 0.92 [0.869565,0.962963] recall 0.78 [0.73913,0.814815] recall 0.8 [0.826087,0.777778] recall 0.8 [0.913043,0.703704] recall 0.8 [0.73913,0.851852] recall 0.84 [0.782609,0.888889] recall 0.86 [0.869565,0.851852] recall 0.88 [0.826087,0.925926] recall 0.84 [0.869565,0.814815] recall 0.84 [0.869565,0.814815] recall 0.92 [0.913043,0.925926] recall 0.74 [0.826087,0.666667] recall 0.92 [0.913043,0.925926] recall 0.86 [0.826087,0.888889] recall 0.84 [0.782609,0.888889] recall 0.76 [0.869565,0.666667] recall 0.88 [0.913043,0.851852] recall 0.88 [1,0.777778] recall 0.88 [0.956522,0.814815] recall 0.74 [0.695652,0.777778] recall 0.7 [0.652174,0.740741] recall 0.88 [0.869565,0.888889] recall 0.82 [0.869565,0.777778] recall 0.84 [0.869565,0.814815] recall 0.7 [0.791667,0.615385] recall 0.74 [0.666667,0.807692] recall 0.68 [0.916667,0.461538] recall 0.8 [0.75,0.846154] recall 0.78 [0.782609,0.777778] recall 0.74 [0.75,0.730769] recall 0.86 [0.875,0.846154] recall 0.82 [0.913043,0.740741] recall 0.8 [0.833333,0.769231] recall 0.72 [0.625,0.807692] recall 0.8 [0.708333,0.884615] recall 0.82 [0.875,0.769231] recall 0.7 [0.583333,0.807692] recall 0.74 [0.625,0.846154] recall 0.94 [0.913043,0.962963] recall 0.88 [0.833333,0.923077] recall 0.84 [0.916667,0.769231] recall 0.86 [0.826087,0.888889] recall 0.74 [0.666667,0.807692] recall 0.78 [0.875,0.692308] recall 0.88 [0.875,0.884615] recall 0.76 [0.791667,0.730769] recall 0.78 [0.833333,0.730769] recall 0.74 [0.833333,0.653846] recall 0.82 [0.826087,0.814815] recall 0.8 [0.833333,0.769231] recall 0.78 [0.791667,0.769231] recall 0.84 [0.869565,0.814815] recall 0.82 [0.791667,0.846154] recall 0.86 [0.875,0.846154] relative_absolute_error 0.690224 relative_absolute_error 0.58926 relative_absolute_error 0.697565 relative_absolute_error 0.683228 relative_absolute_error 0.692375 relative_absolute_error 0.652675 relative_absolute_error 0.664858 relative_absolute_error 0.707989 relative_absolute_error 0.748581 relative_absolute_error 0.659018 relative_absolute_error 0.698216 relative_absolute_error 0.627982 relative_absolute_error 0.653994 relative_absolute_error 0.621003 relative_absolute_error 0.735482 relative_absolute_error 0.738236 relative_absolute_error 0.751777 relative_absolute_error 0.726906 relative_absolute_error 0.696417 relative_absolute_error 0.684861 relative_absolute_error 0.609089 relative_absolute_error 0.636145 relative_absolute_error 0.681188 relative_absolute_error 0.705919 relative_absolute_error 0.771079 relative_absolute_error 0.682734 relative_absolute_error 0.727661 relative_absolute_error 0.727076 relative_absolute_error 0.63572 relative_absolute_error 0.686121 relative_absolute_error 0.71055 relative_absolute_error 0.72909 relative_absolute_error 0.649844 relative_absolute_error 0.7081 relative_absolute_error 0.646235 relative_absolute_error 0.675723 relative_absolute_error 0.676896 relative_absolute_error 0.747407 relative_absolute_error 0.683582 relative_absolute_error 0.750624 relative_absolute_error 0.656251 relative_absolute_error 0.807212 relative_absolute_error 0.698026 relative_absolute_error 0.648441 relative_absolute_error 0.690886 relative_absolute_error 0.750657 relative_absolute_error 0.620274 relative_absolute_error 0.70122 relative_absolute_error 0.728084 relative_absolute_error 0.722508 relative_absolute_error 0.679275 relative_absolute_error 0.677769 relative_absolute_error 0.668054 relative_absolute_error 0.638329 relative_absolute_error 0.691164 relative_absolute_error 0.657537 relative_absolute_error 0.606288 relative_absolute_error 0.743494 relative_absolute_error 0.622714 relative_absolute_error 0.65217 relative_absolute_error 0.64851 relative_absolute_error 0.706058 relative_absolute_error 0.665771 relative_absolute_error 0.676108 relative_absolute_error 0.695301 relative_absolute_error 0.738199 relative_absolute_error 0.746083 relative_absolute_error 0.647993 relative_absolute_error 0.642903 relative_absolute_error 0.667716 relative_absolute_error 0.760727 relative_absolute_error 0.701844 relative_absolute_error 0.813758 relative_absolute_error 0.760544 relative_absolute_error 0.680033 relative_absolute_error 0.689635 relative_absolute_error 0.679689 relative_absolute_error 0.720081 relative_absolute_error 0.721363 relative_absolute_error 0.754353 relative_absolute_error 0.709085 relative_absolute_error 0.69457 relative_absolute_error 0.717941 relative_absolute_error 0.725665 relative_absolute_error 0.665919 relative_absolute_error 0.689579 relative_absolute_error 0.67468 relative_absolute_error 0.658611 relative_absolute_error 0.763758 relative_absolute_error 0.756978 relative_absolute_error 0.675455 relative_absolute_error 0.686185 relative_absolute_error 0.685453 relative_absolute_error 0.736857 relative_absolute_error 0.652142 relative_absolute_error 0.704575 relative_absolute_error 0.735746 relative_absolute_error 0.635042 relative_absolute_error 0.687161 relative_absolute_error 0.668911 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.499792 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.499792 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.499792 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.499792 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.499792 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.499792 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.499792 root_mean_prior_squared_error 0.499792 root_mean_prior_squared_error 0.499792 root_mean_prior_squared_error 0.499792 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.499792 root_mean_prior_squared_error 0.499792 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.499792 root_mean_prior_squared_error 0.499792 root_mean_prior_squared_error 0.499792 root_mean_prior_squared_error 0.499792 root_mean_prior_squared_error 0.499792 root_mean_prior_squared_error 0.499792 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.499792 root_mean_prior_squared_error 0.499792 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.499792 root_mean_prior_squared_error 0.499792 root_mean_prior_squared_error 0.499792 root_mean_prior_squared_error 0.499792 root_mean_prior_squared_error 0.499792 root_mean_prior_squared_error 0.499792 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.499792 root_mean_prior_squared_error 0.499792 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.499792 root_mean_prior_squared_error 0.499792 root_mean_squared_error 0.379452 root_mean_squared_error 0.323686 root_mean_squared_error 0.383337 root_mean_squared_error 0.370098 root_mean_squared_error 0.38635 root_mean_squared_error 0.377671 root_mean_squared_error 0.364031 root_mean_squared_error 0.385014 root_mean_squared_error 0.414018 root_mean_squared_error 0.359859 root_mean_squared_error 0.391194 root_mean_squared_error 0.349353 root_mean_squared_error 0.357337 root_mean_squared_error 0.351074 root_mean_squared_error 0.418134 root_mean_squared_error 0.398092 root_mean_squared_error 0.407349 root_mean_squared_error 0.405447 root_mean_squared_error 0.380147 root_mean_squared_error 0.378671 root_mean_squared_error 0.342775 root_mean_squared_error 0.342677 root_mean_squared_error 0.382566 root_mean_squared_error 0.384171 root_mean_squared_error 0.412579 root_mean_squared_error 0.371081 root_mean_squared_error 0.388261 root_mean_squared_error 0.404883 root_mean_squared_error 0.345472 root_mean_squared_error 0.386886 root_mean_squared_error 0.399188 root_mean_squared_error 0.399 root_mean_squared_error 0.361652 root_mean_squared_error 0.402068 root_mean_squared_error 0.360171 root_mean_squared_error 0.35819 root_mean_squared_error 0.376516 root_mean_squared_error 0.403558 root_mean_squared_error 0.36979 root_mean_squared_error 0.410269 root_mean_squared_error 0.360137 root_mean_squared_error 0.439841 root_mean_squared_error 0.38172 root_mean_squared_error 0.363399 root_mean_squared_error 0.379855 root_mean_squared_error 0.407967 root_mean_squared_error 0.33814 root_mean_squared_error 0.389833 root_mean_squared_error 0.397351 root_mean_squared_error 0.39635 root_mean_squared_error 0.377232 root_mean_squared_error 0.373523 root_mean_squared_error 0.382451 root_mean_squared_error 0.353628 root_mean_squared_error 0.388854 root_mean_squared_error 0.359729 root_mean_squared_error 0.327529 root_mean_squared_error 0.412375 root_mean_squared_error 0.330477 root_mean_squared_error 0.363995 root_mean_squared_error 0.358518 root_mean_squared_error 0.400847 root_mean_squared_error 0.361702 root_mean_squared_error 0.372749 root_mean_squared_error 0.370589 root_mean_squared_error 0.411665 root_mean_squared_error 0.41914 root_mean_squared_error 0.355735 root_mean_squared_error 0.36417 root_mean_squared_error 0.371995 root_mean_squared_error 0.411595 root_mean_squared_error 0.389431 root_mean_squared_error 0.436008 root_mean_squared_error 0.412806 root_mean_squared_error 0.380666 root_mean_squared_error 0.385467 root_mean_squared_error 0.381547 root_mean_squared_error 0.389368 root_mean_squared_error 0.402599 root_mean_squared_error 0.428857 root_mean_squared_error 0.38921 root_mean_squared_error 0.387848 root_mean_squared_error 0.399413 root_mean_squared_error 0.416403 root_mean_squared_error 0.36401 root_mean_squared_error 0.375301 root_mean_squared_error 0.378607 root_mean_squared_error 0.375988 root_mean_squared_error 0.429594 root_mean_squared_error 0.412004 root_mean_squared_error 0.368447 root_mean_squared_error 0.3937 root_mean_squared_error 0.377219 root_mean_squared_error 0.399144 root_mean_squared_error 0.362668 root_mean_squared_error 0.38983 root_mean_squared_error 0.410651 root_mean_squared_error 0.348981 root_mean_squared_error 0.384391 root_mean_squared_error 0.36684 root_relative_squared_error 0.761286 root_relative_squared_error 0.649405 root_relative_squared_error 0.769081 root_relative_squared_error 0.742519 root_relative_squared_error 0.773021 root_relative_squared_error 0.757714 root_relative_squared_error 0.730349 root_relative_squared_error 0.770349 root_relative_squared_error 0.830637 root_relative_squared_error 0.721978 root_relative_squared_error 0.784843 root_relative_squared_error 0.700899 root_relative_squared_error 0.716918 root_relative_squared_error 0.704353 root_relative_squared_error 0.836615 root_relative_squared_error 0.798684 root_relative_squared_error 0.817256 root_relative_squared_error 0.81123 root_relative_squared_error 0.76268 root_relative_squared_error 0.759719 root_relative_squared_error 0.687701 root_relative_squared_error 0.687506 root_relative_squared_error 0.767534 root_relative_squared_error 0.770754 root_relative_squared_error 0.825501 root_relative_squared_error 0.744493 root_relative_squared_error 0.778959 root_relative_squared_error 0.810102 root_relative_squared_error 0.693114 root_relative_squared_error 0.776202 root_relative_squared_error 0.800882 root_relative_squared_error 0.800506 root_relative_squared_error 0.725575 root_relative_squared_error 0.806661 root_relative_squared_error 0.722604 root_relative_squared_error 0.718628 root_relative_squared_error 0.755396 root_relative_squared_error 0.809649 root_relative_squared_error 0.741902 root_relative_squared_error 0.823115 root_relative_squared_error 0.722535 root_relative_squared_error 0.882443 root_relative_squared_error 0.765837 root_relative_squared_error 0.72908 root_relative_squared_error 0.762095 root_relative_squared_error 0.818495 root_relative_squared_error 0.678402 root_relative_squared_error 0.782115 root_relative_squared_error 0.797196 root_relative_squared_error 0.795188 root_relative_squared_error 0.756833 root_relative_squared_error 0.749391 root_relative_squared_error 0.767304 root_relative_squared_error 0.709476 root_relative_squared_error 0.78015 root_relative_squared_error 0.721717 root_relative_squared_error 0.657114 root_relative_squared_error 0.827339 root_relative_squared_error 0.663029 root_relative_squared_error 0.730275 root_relative_squared_error 0.719287 root_relative_squared_error 0.804212 root_relative_squared_error 0.725674 root_relative_squared_error 0.747838 root_relative_squared_error 0.743506 root_relative_squared_error 0.825915 root_relative_squared_error 0.840912 root_relative_squared_error 0.713703 root_relative_squared_error 0.730626 root_relative_squared_error 0.746327 root_relative_squared_error 0.823532 root_relative_squared_error 0.779187 root_relative_squared_error 0.872378 root_relative_squared_error 0.825955 root_relative_squared_error 0.763721 root_relative_squared_error 0.771255 root_relative_squared_error 0.763411 root_relative_squared_error 0.78118 root_relative_squared_error 0.805533 root_relative_squared_error 0.85807 root_relative_squared_error 0.778743 root_relative_squared_error 0.776018 root_relative_squared_error 0.799159 root_relative_squared_error 0.833152 root_relative_squared_error 0.730306 root_relative_squared_error 0.750915 root_relative_squared_error 0.757528 root_relative_squared_error 0.754338 root_relative_squared_error 0.859544 root_relative_squared_error 0.82435 root_relative_squared_error 0.7372 root_relative_squared_error 0.787727 root_relative_squared_error 0.754751 root_relative_squared_error 0.79862 root_relative_squared_error 0.727613 root_relative_squared_error 0.779984 root_relative_squared_error 0.821644 root_relative_squared_error 0.700153 root_relative_squared_error 0.769102 root_relative_squared_error 0.733986 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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 2170 usercpu_time_millis 2310 usercpu_time_millis 2040 usercpu_time_millis 1990 usercpu_time_millis 2140 usercpu_time_millis 2100 usercpu_time_millis 2090 usercpu_time_millis 2020 usercpu_time_millis 1980 usercpu_time_millis 2020 usercpu_time_millis 2350 usercpu_time_millis 2260 usercpu_time_millis 1980 usercpu_time_millis 1990 usercpu_time_millis 2120 usercpu_time_millis 2110 usercpu_time_millis 2130 usercpu_time_millis 2020 usercpu_time_millis 2030 usercpu_time_millis 2050 usercpu_time_millis 2340 usercpu_time_millis 2250 usercpu_time_millis 1940 usercpu_time_millis 2100 usercpu_time_millis 2090 usercpu_time_millis 2110 usercpu_time_millis 2040 usercpu_time_millis 1960 usercpu_time_millis 2000 usercpu_time_millis 2030 usercpu_time_millis 2350 usercpu_time_millis 1960 usercpu_time_millis 1940 usercpu_time_millis 2110 usercpu_time_millis 2110 usercpu_time_millis 2090 usercpu_time_millis 2100 usercpu_time_millis 2020 usercpu_time_millis 2090 usercpu_time_millis 2010 usercpu_time_millis 2300 usercpu_time_millis 1970 usercpu_time_millis 1940 usercpu_time_millis 2110 usercpu_time_millis 2080 usercpu_time_millis 2140 usercpu_time_millis 2090 usercpu_time_millis 2020 usercpu_time_millis 2050 usercpu_time_millis 2030 usercpu_time_millis 2300 usercpu_time_millis 2010 usercpu_time_millis 1980 usercpu_time_millis 2120 usercpu_time_millis 2160 usercpu_time_millis 2110 usercpu_time_millis 2310 usercpu_time_millis 2010 usercpu_time_millis 2040 usercpu_time_millis 2020 usercpu_time_millis 2290 usercpu_time_millis 2110 usercpu_time_millis 2100 usercpu_time_millis 2060 usercpu_time_millis 2080 usercpu_time_millis 2090 usercpu_time_millis 1990 usercpu_time_millis 1980 usercpu_time_millis 2050 usercpu_time_millis 1980 usercpu_time_millis 2130 usercpu_time_millis 2070 usercpu_time_millis 2060 usercpu_time_millis 1980 usercpu_time_millis 2140 usercpu_time_millis 2110 usercpu_time_millis 2020 usercpu_time_millis 1960 usercpu_time_millis 2030 usercpu_time_millis 1990 usercpu_time_millis 2170 usercpu_time_millis 2050 usercpu_time_millis 2070 usercpu_time_millis 2060 usercpu_time_millis 2080 usercpu_time_millis 2090 usercpu_time_millis 2010 usercpu_time_millis 1980 usercpu_time_millis 2010 usercpu_time_millis 1970 usercpu_time_millis 2190 usercpu_time_millis 2150 usercpu_time_millis 2060 usercpu_time_millis 2160 usercpu_time_millis 2140 usercpu_time_millis 2100 usercpu_time_millis 2000 usercpu_time_millis 2020 usercpu_time_millis 2000 usercpu_time_millis 2020 usercpu_time_millis_testing 120 usercpu_time_millis_testing 170 usercpu_time_millis_testing 130 usercpu_time_millis_testing 100 usercpu_time_millis_testing 140 usercpu_time_millis_testing 130 usercpu_time_millis_testing 130 usercpu_time_millis_testing 120 usercpu_time_millis_testing 110 usercpu_time_millis_testing 150 usercpu_time_millis_testing 190 usercpu_time_millis_testing 150 usercpu_time_millis_testing 120 usercpu_time_millis_testing 110 usercpu_time_millis_testing 120 usercpu_time_millis_testing 140 usercpu_time_millis_testing 150 usercpu_time_millis_testing 150 usercpu_time_millis_testing 150 usercpu_time_millis_testing 130 usercpu_time_millis_testing 200 usercpu_time_millis_testing 120 usercpu_time_millis_testing 110 usercpu_time_millis_testing 130 usercpu_time_millis_testing 140 usercpu_time_millis_testing 140 usercpu_time_millis_testing 130 usercpu_time_millis_testing 110 usercpu_time_millis_testing 140 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