430773 2 Joaquin Vanschoren 4350 Supervised Classification predictive_accuracy 1196 weka.RotationForest_PrincipalComponents_J48(14) 2062 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 10 -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 10 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 1504986 description https://api.openml.org/data/download/1504986/weka_generated_run2633178194158228551.xml -1 1504989 model_readable https://api.openml.org/data/download/1504989/WekaModel_weka.classifiers.meta.RotationForest1629217140846470194.model -1 1504988 model_serialized https://api.openml.org/data/download/1504988/WekaSerialized_weka.classifiers.meta.RotationForest7245916749749513991.model -1 1504987 predictions https://api.openml.org/data/download/1504987/weka_generated_predictions2665497352577156238.arff area_under_roc_curve 0.858749 [0.858749,0.858749] average_cost 0 f_measure 0.779954 [0.766885,0.791359] kappa 0.558315 kb_relative_information_score 1723.28669 mean_absolute_error 0.344129 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 0.780356 [0.756791,0.800921] predictive_accuracy 0.7798 prior_entropy 0.996688 recall 0.7798 [0.777253,0.782022] relative_absolute_error 0.691442 root_mean_prior_squared_error 0.498843 root_mean_squared_error 0.396684 root_relative_squared_error 0.795209 scimark_benchmark 935.321191 [553.0249257258525, 1009.6699252256896, 481.0671011934597, 906.7588967825698, 1726.0851055856206] total_cost 0 usercpu_time_millis 400 usercpu_time_millis_testing 100 usercpu_time_millis_training 300 area_under_roc_curve 0.872786 [0.872786,0.872786] area_under_roc_curve 0.964573 [0.964573,0.964573] area_under_roc_curve 0.867955 [0.867955,0.867955] area_under_roc_curve 0.922705 [0.922705,0.922705] area_under_roc_curve 0.838141 [0.838141,0.838141] area_under_roc_curve 0.822866 [0.822866,0.822866] area_under_roc_curve 0.89211 [0.89211,0.89211] area_under_roc_curve 0.879808 [0.879808,0.879808] area_under_roc_curve 0.798712 [0.798712,0.798712] area_under_roc_curve 0.84058 [0.84058,0.84058] area_under_roc_curve 0.835749 [0.835749,0.835749] area_under_roc_curve 0.916264 [0.916264,0.916264] area_under_roc_curve 0.925926 [0.925926,0.925926] area_under_roc_curve 0.967794 [0.967794,0.967794] area_under_roc_curve 0.766026 [0.766026,0.766026] area_under_roc_curve 0.756844 [0.756844,0.756844] area_under_roc_curve 0.792271 [0.792271,0.792271] area_under_roc_curve 0.820513 [0.820513,0.820513] area_under_roc_curve 0.876006 [0.876006,0.876006] area_under_roc_curve 0.864734 [0.864734,0.864734] area_under_roc_curve 0.901771 [0.901771,0.901771] area_under_roc_curve 0.885668 [0.885668,0.885668] area_under_roc_curve 0.898551 [0.898551,0.898551] area_under_roc_curve 0.977456 [0.977456,0.977456] area_under_roc_curve 0.767628 [0.767628,0.767628] area_under_roc_curve 0.806763 [0.806763,0.806763] area_under_roc_curve 0.880837 [0.880837,0.880837] area_under_roc_curve 0.876603 [0.876603,0.876603] area_under_roc_curve 0.930757 [0.930757,0.930757] area_under_roc_curve 0.916264 [0.916264,0.916264] area_under_roc_curve 0.867955 [0.867955,0.867955] area_under_roc_curve 0.763285 [0.763285,0.763285] area_under_roc_curve 0.877617 [0.877617,0.877617] area_under_roc_curve 0.874396 [0.874396,0.874396] area_under_roc_curve 0.848631 [0.848631,0.848631] area_under_roc_curve 0.874396 [0.874396,0.874396] area_under_roc_curve 0.882448 [0.882448,0.882448] area_under_roc_curve 0.867955 [0.867955,0.867955] area_under_roc_curve 0.89211 [0.89211,0.89211] area_under_roc_curve 0.863124 [0.863124,0.863124] area_under_roc_curve 0.903382 [0.903382,0.903382] area_under_roc_curve 0.780998 [0.780998,0.780998] area_under_roc_curve 0.863124 [0.863124,0.863124] area_under_roc_curve 0.94686 [0.94686,0.94686] area_under_roc_curve 0.867955 [0.867955,0.867955] area_under_roc_curve 0.695652 [0.695652,0.695652] area_under_roc_curve 0.903382 [0.903382,0.903382] area_under_roc_curve 0.869565 [0.869565,0.869565] area_under_roc_curve 0.834138 [0.834138,0.834138] area_under_roc_curve 0.838969 [0.838969,0.838969] area_under_roc_curve 0.782609 [0.782609,0.782609] area_under_roc_curve 0.859903 [0.859903,0.859903] area_under_roc_curve 0.861514 [0.861514,0.861514] area_under_roc_curve 0.956522 [0.956522,0.956522] area_under_roc_curve 0.856683 [0.856683,0.856683] area_under_roc_curve 0.935588 [0.935588,0.935588] area_under_roc_curve 0.94847 [0.94847,0.94847] area_under_roc_curve 0.808374 [0.808374,0.808374] area_under_roc_curve 0.924316 [0.924316,0.924316] area_under_roc_curve 0.914654 [0.914654,0.914654] area_under_roc_curve 0.919485 [0.919485,0.919485] area_under_roc_curve 0.848631 [0.848631,0.848631] area_under_roc_curve 0.847021 [0.847021,0.847021] area_under_roc_curve 0.855072 [0.855072,0.855072] area_under_roc_curve 0.911433 [0.911433,0.911433] area_under_roc_curve 0.803543 [0.803543,0.803543] area_under_roc_curve 0.758454 [0.758454,0.758454] area_under_roc_curve 0.871176 [0.871176,0.871176] area_under_roc_curve 0.909823 [0.909823,0.909823] area_under_roc_curve 0.830918 [0.830918,0.830918] area_under_roc_curve 0.727564 [0.727564,0.727564] area_under_roc_curve 0.884615 [0.884615,0.884615] area_under_roc_curve 0.713141 [0.713141,0.713141] area_under_roc_curve 0.860577 [0.860577,0.860577] area_under_roc_curve 0.904992 [0.904992,0.904992] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 0.870192 [0.870192,0.870192] area_under_roc_curve 0.879227 [0.879227,0.879227] area_under_roc_curve 0.796474 [0.796474,0.796474] area_under_roc_curve 0.714744 [0.714744,0.714744] area_under_roc_curve 0.866987 [0.866987,0.866987] area_under_roc_curve 0.810897 [0.810897,0.810897] area_under_roc_curve 0.887821 [0.887821,0.887821] area_under_roc_curve 0.825321 [0.825321,0.825321] area_under_roc_curve 0.930757 [0.930757,0.930757] area_under_roc_curve 0.894231 [0.894231,0.894231] area_under_roc_curve 0.842949 [0.842949,0.842949] area_under_roc_curve 0.84219 [0.84219,0.84219] area_under_roc_curve 0.809295 [0.809295,0.809295] area_under_roc_curve 0.833333 [0.833333,0.833333] area_under_roc_curve 0.852564 [0.852564,0.852564] area_under_roc_curve 0.831731 [0.831731,0.831731] area_under_roc_curve 0.908654 [0.908654,0.908654] area_under_roc_curve 0.836538 [0.836538,0.836538] area_under_roc_curve 0.855072 [0.855072,0.855072] area_under_roc_curve 0.796474 [0.796474,0.796474] area_under_roc_curve 0.823718 [0.823718,0.823718] area_under_roc_curve 0.922705 [0.922705,0.922705] area_under_roc_curve 0.916667 [0.916667,0.916667] area_under_roc_curve 0.775641 [0.775641,0.775641] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.819636 [0.8,0.836364] f_measure 0.839221 [0.818182,0.857143] f_measure 0.720449 [0.708333,0.730769] f_measure 0.860169 [0.851064,0.867925] f_measure 0.719103 [0.730769,0.708333] f_measure 0.713 [0.65,0.766667] f_measure 0.820217 [0.808511,0.830189] f_measure 0.8 [0.791667,0.807692] f_measure 0.779556 [0.755556,0.8] f_measure 0.76 [0.76,0.76] f_measure 0.713182 [0.75,0.681818] f_measure 0.839221 [0.818182,0.857143] f_measure 0.820217 [0.808511,0.830189] f_measure 0.899143 [0.883721,0.912281] f_measure 0.719103 [0.730769,0.708333] f_measure 0.68 [0.68,0.68] f_measure 0.699394 [0.666667,0.727273] f_measure 0.798052 [0.772727,0.821429] f_measure 0.780265 [0.765957,0.792453] f_measure 0.720449 [0.708333,0.730769] f_measure 0.860169 [0.851064,0.867925] f_measure 0.840256 [0.833333,0.846154] f_measure 0.839221 [0.818182,0.857143] f_measure 0.899798 [0.888889,0.909091] f_measure 0.617697 [0.577778,0.654545] f_measure 0.735163 [0.682927,0.779661] f_measure 0.799038 [0.807692,0.791667] f_measure 0.819783 [0.808511,0.830189] f_measure 0.816652 [0.780488,0.847458] f_measure 0.879416 [0.863636,0.892857] f_measure 0.780265 [0.765957,0.792453] f_measure 0.737772 [0.697674,0.77193] f_measure 0.800321 [0.791667,0.807692] f_measure 0.8 [0.8,0.8] f_measure 0.77956 [0.784314,0.77551] f_measure 0.740313 [0.723404,0.754717] f_measure 0.820216 [0.816327,0.823529] f_measure 0.779556 [0.755556,0.8] f_measure 0.799026 [0.772727,0.821429] f_measure 0.76 [0.73913,0.777778] f_measure 0.77956 [0.784314,0.77551] f_measure 0.720449 [0.708333,0.730769] f_measure 0.779556 [0.755556,0.8] f_measure 0.84 [0.84,0.84] f_measure 0.820217 [0.808511,0.830189] f_measure 0.660408 [0.653061,0.666667] f_measure 0.799026 [0.772727,0.821429] f_measure 0.758831 [0.727273,0.785714] f_measure 0.660408 [0.653061,0.666667] f_measure 0.73948 [0.745098,0.734694] f_measure 0.737772 [0.697674,0.77193] f_measure 0.799026 [0.772727,0.821429] f_measure 0.840256 [0.833333,0.846154] f_measure 0.918949 [0.904762,0.931034] f_measure 0.800321 [0.791667,0.807692] f_measure 0.880192 [0.875,0.884615] f_measure 0.859717 [0.844444,0.872727] f_measure 0.780264 [0.77551,0.784314] f_measure 0.88 [0.869565,0.888889] f_measure 0.799026 [0.772727,0.821429] f_measure 0.879416 [0.863636,0.892857] f_measure 0.72 [0.72,0.72] f_measure 0.737772 [0.697674,0.77193] f_measure 0.839231 [0.846154,0.833333] f_measure 0.880192 [0.875,0.884615] f_measure 0.720449 [0.708333,0.730769] f_measure 0.653675 [0.585366,0.711864] f_measure 0.800321 [0.791667,0.807692] f_measure 0.8 [0.782609,0.814815] f_measure 0.76 [0.76,0.76] f_measure 0.6 [0.6,0.6] f_measure 0.738424 [0.711111,0.763636] f_measure 0.655192 [0.690909,0.622222] f_measure 0.76 [0.76,0.76] f_measure 0.820217 [0.808511,0.830189] f_measure 0.8 [0.791667,0.807692] f_measure 0.84 [0.833333,0.846154] f_measure 0.77956 [0.784314,0.77551] f_measure 0.740104 [0.734694,0.745098] f_measure 0.619542 [0.595745,0.641509] f_measure 0.72 [0.708333,0.730769] f_measure 0.778675 [0.792453,0.765957] f_measure 0.838442 [0.818182,0.857143] f_measure 0.755271 [0.714286,0.793103] f_measure 0.91961 [0.909091,0.928571] f_measure 0.778667 [0.755556,0.8] f_measure 0.779736 [0.784314,0.77551] f_measure 0.754 [0.7,0.8] f_measure 0.740104 [0.734694,0.745098] f_measure 0.740104 [0.734694,0.745098] f_measure 0.739687 [0.723404,0.754717] f_measure 0.76 [0.76,0.76] f_measure 0.759231 [0.769231,0.75] f_measure 0.740104 [0.734694,0.745098] f_measure 0.780265 [0.765957,0.792453] f_measure 0.736323 [0.763636,0.711111] f_measure 0.780088 [0.77551,0.784314] f_measure 0.88 [0.88,0.88] f_measure 0.859831 [0.851064,0.867925] f_measure 0.659592 [0.666667,0.653061] kappa 0.636511 kappa 0.675851 kappa 0.44 kappa 0.719101 kappa 0.442675 kappa 0.425287 kappa 0.638844 kappa 0.599359 kappa 0.555735 kappa 0.523052 kappa 0.453978 kappa 0.675851 kappa 0.638844 kappa 0.796748 kappa 0.442675 kappa 0.36407 kappa 0.394184 kappa 0.596774 kappa 0.558587 kappa 0.44 kappa 0.719101 kappa 0.68 kappa 0.675851 kappa 0.798061 kappa 0.235105 kappa 0.468085 kappa 0.605055 kappa 0.638844 kappa 0.631751 kappa 0.756888 kappa 0.558587 kappa 0.471545 kappa 0.6 kappa 0.602544 kappa 0.564184 kappa 0.478331 kappa 0.641148 kappa 0.555735 kappa 0.594814 kappa 0.516908 kappa 0.564184 kappa 0.44 kappa 0.555735 kappa 0.682035 kappa 0.638844 kappa 0.322169 kappa 0.594814 kappa 0.513776 kappa 0.322169 kappa 0.484945 kappa 0.471545 kappa 0.594814 kappa 0.68 kappa 0.836868 kappa 0.6 kappa 0.76 kappa 0.717286 kappa 0.561404 kappa 0.758454 kappa 0.594814 kappa 0.756888 kappa 0.443561 kappa 0.471545 kappa 0.684044 kappa 0.76 kappa 0.44 kappa 0.304419 kappa 0.6 kappa 0.597424 kappa 0.523052 kappa 0.201278 kappa 0.476651 kappa 0.326466 kappa 0.520767 kappa 0.638844 kappa 0.599359 kappa 0.679487 kappa 0.564184 kappa 0.48 kappa 0.23756 kappa 0.439103 kappa 0.562798 kappa 0.677419 kappa 0.514563 kappa 0.837925 kappa 0.557166 kappa 0.561404 kappa 0.507389 kappa 0.48 kappa 0.48 kappa 0.478331 kappa 0.520767 kappa 0.522293 kappa 0.48 kappa 0.558587 kappa 0.484945 kappa 0.56 kappa 0.761526 kappa 0.719101 kappa 0.322169 kb_relative_information_score 17.768631 kb_relative_information_score 21.119169 kb_relative_information_score 15.489772 kb_relative_information_score 21.453921 kb_relative_information_score 15.864805 kb_relative_information_score 16.594142 kb_relative_information_score 18.839059 kb_relative_information_score 17.211537 kb_relative_information_score 13.302516 kb_relative_information_score 16.280624 kb_relative_information_score 15.400749 kb_relative_information_score 20.214137 kb_relative_information_score 20.347879 kb_relative_information_score 24.329329 kb_relative_information_score 12.627783 kb_relative_information_score 10.761502 kb_relative_information_score 13.253129 kb_relative_information_score 14.516998 kb_relative_information_score 19.219537 kb_relative_information_score 17.312708 kb_relative_information_score 18.706343 kb_relative_information_score 19.712345 kb_relative_information_score 20.525606 kb_relative_information_score 22.667952 kb_relative_information_score 11.931087 kb_relative_information_score 14.01864 kb_relative_information_score 16.575813 kb_relative_information_score 15.763553 kb_relative_information_score 21.381151 kb_relative_information_score 19.417515 kb_relative_information_score 18.607467 kb_relative_information_score 12.458014 kb_relative_information_score 19.977204 kb_relative_information_score 17.961944 kb_relative_information_score 17.135698 kb_relative_information_score 16.872349 kb_relative_information_score 20.414621 kb_relative_information_score 16.561495 kb_relative_information_score 19.036258 kb_relative_information_score 17.398611 kb_relative_information_score 17.696846 kb_relative_information_score 11.26434 kb_relative_information_score 16.673981 kb_relative_information_score 24.617487 kb_relative_information_score 16.425373 kb_relative_information_score 8.582797 kb_relative_information_score 20.54181 kb_relative_information_score 17.86739 kb_relative_information_score 15.525054 kb_relative_information_score 16.443169 kb_relative_information_score 12.75304 kb_relative_information_score 16.783842 kb_relative_information_score 21.717053 kb_relative_information_score 25.240353 kb_relative_information_score 21.094944 kb_relative_information_score 20.094625 kb_relative_information_score 20.239083 kb_relative_information_score 14.527212 kb_relative_information_score 20.301099 kb_relative_information_score 21.635715 kb_relative_information_score 20.370827 kb_relative_information_score 16.712301 kb_relative_information_score 17.222302 kb_relative_information_score 16.962103 kb_relative_information_score 19.972721 kb_relative_information_score 14.148132 kb_relative_information_score 13.27693 kb_relative_information_score 17.145359 kb_relative_information_score 18.764418 kb_relative_information_score 16.62647 kb_relative_information_score 9.931575 kb_relative_information_score 16.731062 kb_relative_information_score 8.979447 kb_relative_information_score 15.730058 kb_relative_information_score 20.456438 kb_relative_information_score 18.546616 kb_relative_information_score 18.810678 kb_relative_information_score 15.563071 kb_relative_information_score 14.179941 kb_relative_information_score 11.109008 kb_relative_information_score 16.608211 kb_relative_information_score 15.660533 kb_relative_information_score 20.733555 kb_relative_information_score 15.571209 kb_relative_information_score 22.205538 kb_relative_information_score 18.759547 kb_relative_information_score 15.301234 kb_relative_information_score 16.050201 kb_relative_information_score 14.322864 kb_relative_information_score 14.412686 kb_relative_information_score 16.193757 kb_relative_information_score 17.818138 kb_relative_information_score 21.507804 kb_relative_information_score 15.669158 kb_relative_information_score 16.162251 kb_relative_information_score 14.737075 kb_relative_information_score 15.864288 kb_relative_information_score 21.938637 kb_relative_information_score 20.938326 kb_relative_information_score 12.535418 mean_absolute_error 0.342304 mean_absolute_error 0.311039 mean_absolute_error 0.358671 mean_absolute_error 0.307454 mean_absolute_error 0.356593 mean_absolute_error 0.346085 mean_absolute_error 0.326258 mean_absolute_error 0.349525 mean_absolute_error 0.378054 mean_absolute_error 0.351402 mean_absolute_error 0.357387 mean_absolute_error 0.319287 mean_absolute_error 0.315079 mean_absolute_error 0.2792 mean_absolute_error 0.386064 mean_absolute_error 0.402476 mean_absolute_error 0.378107 mean_absolute_error 0.371353 mean_absolute_error 0.326423 mean_absolute_error 0.339855 mean_absolute_error 0.332899 mean_absolute_error 0.319782 mean_absolute_error 0.31458 mean_absolute_error 0.298835 mean_absolute_error 0.391648 mean_absolute_error 0.369224 mean_absolute_error 0.353383 mean_absolute_error 0.362256 mean_absolute_error 0.305769 mean_absolute_error 0.325843 mean_absolute_error 0.331473 mean_absolute_error 0.389303 mean_absolute_error 0.318566 mean_absolute_error 0.337182 mean_absolute_error 0.346627 mean_absolute_error 0.3464 mean_absolute_error 0.312816 mean_absolute_error 0.350414 mean_absolute_error 0.3259 mean_absolute_error 0.342643 mean_absolute_error 0.339671 mean_absolute_error 0.399287 mean_absolute_error 0.349264 mean_absolute_error 0.272215 mean_absolute_error 0.352922 mean_absolute_error 0.417962 mean_absolute_error 0.310122 mean_absolute_error 0.334881 mean_absolute_error 0.3566 mean_absolute_error 0.348492 mean_absolute_error 0.386896 mean_absolute_error 0.348847 mean_absolute_error 0.30079 mean_absolute_error 0.272549 mean_absolute_error 0.304259 mean_absolute_error 0.323561 mean_absolute_error 0.320776 mean_absolute_error 0.36963 mean_absolute_error 0.319113 mean_absolute_error 0.299728 mean_absolute_error 0.320392 mean_absolute_error 0.344995 mean_absolute_error 0.340045 mean_absolute_error 0.347821 mean_absolute_error 0.321536 mean_absolute_error 0.367808 mean_absolute_error 0.375198 mean_absolute_error 0.345754 mean_absolute_error 0.330863 mean_absolute_error 0.350295 mean_absolute_error 0.407963 mean_absolute_error 0.351502 mean_absolute_error 0.418078 mean_absolute_error 0.359999 mean_absolute_error 0.31529 mean_absolute_error 0.335073 mean_absolute_error 0.333218 mean_absolute_error 0.359273 mean_absolute_error 0.374018 mean_absolute_error 0.394842 mean_absolute_error 0.34935 mean_absolute_error 0.358207 mean_absolute_error 0.313144 mean_absolute_error 0.358284 mean_absolute_error 0.303953 mean_absolute_error 0.332211 mean_absolute_error 0.364488 mean_absolute_error 0.354712 mean_absolute_error 0.371738 mean_absolute_error 0.372459 mean_absolute_error 0.353699 mean_absolute_error 0.33718 mean_absolute_error 0.305175 mean_absolute_error 0.357218 mean_absolute_error 0.353039 mean_absolute_error 0.369886 mean_absolute_error 0.359633 mean_absolute_error 0.301565 mean_absolute_error 0.314733 mean_absolute_error 0.382512 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 0.819935 [0.818182,0.821429] precision 0.841182 [0.857143,0.827586] precision 0.7232 [0.68,0.76] precision 0.861026 [0.833333,0.884615] precision 0.727532 [0.678571,0.772727] precision 0.728128 [0.764706,0.69697] precision 0.82109 [0.791667,0.846154] precision 0.8 [0.791667,0.807692] precision 0.77974 [0.772727,0.785714] precision 0.769791 [0.703704,0.826087] precision 0.769198 [0.636364,0.882353] precision 0.841182 [0.857143,0.827586] precision 0.82109 [0.791667,0.846154] precision 0.905 [0.95,0.866667] precision 0.727532 [0.678571,0.772727] precision 0.68876 [0.62963,0.73913] precision 0.699351 [0.681818,0.714286] precision 0.806667 [0.85,0.766667] precision 0.781154 [0.75,0.807692] precision 0.7232 [0.68,0.76] precision 0.861026 [0.833333,0.884615] precision 0.8432 [0.8,0.88] precision 0.841182 [0.857143,0.827586] precision 0.900325 [0.909091,0.892857] precision 0.619901 [0.619048,0.62069] precision 0.745903 [0.777778,0.71875] precision 0.821675 [0.724138,0.904762] precision 0.820225 [0.826087,0.814815] precision 0.830764 [0.888889,0.78125] precision 0.881708 [0.904762,0.862069] precision 0.781154 [0.75,0.807692] precision 0.741 [0.75,0.733333] precision 0.8032 [0.76,0.84] precision 0.810306 [0.740741,0.869565] precision 0.794935 [0.714286,0.863636] precision 0.741218 [0.708333,0.769231] precision 0.826346 [0.769231,0.875] precision 0.77974 [0.772727,0.785714] precision 0.800657 [0.809524,0.793103] precision 0.76 [0.73913,0.777778] precision 0.794935 [0.714286,0.863636] precision 0.7232 [0.68,0.76] precision 0.77974 [0.772727,0.785714] precision 0.850821 [0.777778,0.913043] precision 0.82109 [0.791667,0.846154] precision 0.665577 [0.615385,0.708333] precision 0.800657 [0.809524,0.793103] precision 0.760131 [0.761905,0.758621] precision 0.665577 [0.615385,0.708333] precision 0.753961 [0.678571,0.818182] precision 0.741 [0.75,0.733333] precision 0.800657 [0.809524,0.793103] precision 0.8432 [0.8,0.88] precision 0.930323 [1,0.870968] precision 0.8032 [0.76,0.84] precision 0.8832 [0.84,0.92] precision 0.86013 [0.863636,0.857143] precision 0.786154 [0.730769,0.833333] precision 0.88 [0.869565,0.888889] precision 0.800657 [0.809524,0.793103] precision 0.881708 [0.904762,0.862069] precision 0.729275 [0.666667,0.782609] precision 0.741 [0.75,0.733333] precision 0.863251 [0.758621,0.952381] precision 0.8832 [0.84,0.92] precision 0.7232 [0.68,0.76] precision 0.661042 [0.666667,0.65625] precision 0.8032 [0.76,0.84] precision 0.8 [0.782609,0.814815] precision 0.769791 [0.703704,0.826087] precision 0.601923 [0.576923,0.625] precision 0.742266 [0.761905,0.724138] precision 0.677351 [0.612903,0.736842] precision 0.762436 [0.730769,0.791667] precision 0.82109 [0.791667,0.846154] precision 0.8 [0.791667,0.807692] precision 0.84 [0.833333,0.846154] precision 0.794935 [0.714286,0.863636] precision 0.7408 [0.72,0.76] precision 0.619581 [0.608696,0.62963] precision 0.72 [0.708333,0.730769] precision 0.7933 [0.724138,0.857143] precision 0.848 [0.9,0.8] precision 0.77375 [0.833333,0.71875] precision 0.922233 [0.952381,0.896552] precision 0.783054 [0.809524,0.758621] precision 0.785121 [0.740741,0.826087] precision 0.771551 [0.823529,0.727273] precision 0.7408 [0.72,0.76] precision 0.7408 [0.72,0.76] precision 0.739968 [0.73913,0.740741] precision 0.762436 [0.730769,0.791667] precision 0.768312 [0.714286,0.818182] precision 0.7408 [0.72,0.76] precision 0.781154 [0.75,0.807692] precision 0.763056 [0.677419,0.842105] precision 0.7808 [0.76,0.8] precision 0.891337 [0.814815,0.956522] precision 0.860354 [0.869565,0.851852] precision 0.663961 [0.62963,0.695652] predictive_accuracy 0.82 predictive_accuracy 0.84 predictive_accuracy 0.72 predictive_accuracy 0.86 predictive_accuracy 0.72 predictive_accuracy 0.72 predictive_accuracy 0.82 predictive_accuracy 0.8 predictive_accuracy 0.78 predictive_accuracy 0.76 predictive_accuracy 0.72 predictive_accuracy 0.84 predictive_accuracy 0.82 predictive_accuracy 0.9 predictive_accuracy 0.72 predictive_accuracy 0.68 predictive_accuracy 0.7 predictive_accuracy 0.8 predictive_accuracy 0.78 predictive_accuracy 0.72 predictive_accuracy 0.86 predictive_accuracy 0.84 predictive_accuracy 0.84 predictive_accuracy 0.9 predictive_accuracy 0.62 predictive_accuracy 0.74 predictive_accuracy 0.8 predictive_accuracy 0.82 predictive_accuracy 0.82 predictive_accuracy 0.88 predictive_accuracy 0.78 predictive_accuracy 0.74 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.78 predictive_accuracy 0.74 predictive_accuracy 0.82 predictive_accuracy 0.78 predictive_accuracy 0.8 predictive_accuracy 0.76 predictive_accuracy 0.78 predictive_accuracy 0.72 predictive_accuracy 0.78 predictive_accuracy 0.84 predictive_accuracy 0.82 predictive_accuracy 0.66 predictive_accuracy 0.8 predictive_accuracy 0.76 predictive_accuracy 0.66 predictive_accuracy 0.74 predictive_accuracy 0.74 predictive_accuracy 0.8 predictive_accuracy 0.84 predictive_accuracy 0.92 predictive_accuracy 0.8 predictive_accuracy 0.88 predictive_accuracy 0.86 predictive_accuracy 0.78 predictive_accuracy 0.88 predictive_accuracy 0.8 predictive_accuracy 0.88 predictive_accuracy 0.72 predictive_accuracy 0.74 predictive_accuracy 0.84 predictive_accuracy 0.88 predictive_accuracy 0.72 predictive_accuracy 0.66 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.76 predictive_accuracy 0.6 predictive_accuracy 0.74 predictive_accuracy 0.66 predictive_accuracy 0.76 predictive_accuracy 0.82 predictive_accuracy 0.8 predictive_accuracy 0.84 predictive_accuracy 0.78 predictive_accuracy 0.74 predictive_accuracy 0.62 predictive_accuracy 0.72 predictive_accuracy 0.78 predictive_accuracy 0.84 predictive_accuracy 0.76 predictive_accuracy 0.92 predictive_accuracy 0.78 predictive_accuracy 0.78 predictive_accuracy 0.76 predictive_accuracy 0.74 predictive_accuracy 0.74 predictive_accuracy 0.74 predictive_accuracy 0.76 predictive_accuracy 0.76 predictive_accuracy 0.74 predictive_accuracy 0.78 predictive_accuracy 0.74 predictive_accuracy 0.78 predictive_accuracy 0.88 predictive_accuracy 0.86 predictive_accuracy 0.66 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 0.82 [0.782609,0.851852] recall 0.84 [0.782609,0.888889] recall 0.72 [0.73913,0.703704] recall 0.86 [0.869565,0.851852] recall 0.72 [0.791667,0.653846] recall 0.72 [0.565217,0.851852] recall 0.82 [0.826087,0.814815] recall 0.8 [0.791667,0.807692] recall 0.78 [0.73913,0.814815] recall 0.76 [0.826087,0.703704] recall 0.72 [0.913043,0.555556] recall 0.84 [0.782609,0.888889] recall 0.82 [0.826087,0.814815] recall 0.9 [0.826087,0.962963] recall 0.72 [0.791667,0.653846] recall 0.68 [0.73913,0.62963] recall 0.7 [0.652174,0.740741] recall 0.8 [0.708333,0.884615] recall 0.78 [0.782609,0.777778] recall 0.72 [0.73913,0.703704] recall 0.86 [0.869565,0.851852] recall 0.84 [0.869565,0.814815] recall 0.84 [0.782609,0.888889] recall 0.9 [0.869565,0.925926] recall 0.62 [0.541667,0.692308] recall 0.74 [0.608696,0.851852] recall 0.8 [0.913043,0.703704] recall 0.82 [0.791667,0.846154] recall 0.82 [0.695652,0.925926] recall 0.88 [0.826087,0.925926] recall 0.78 [0.782609,0.777778] recall 0.74 [0.652174,0.814815] recall 0.8 [0.826087,0.777778] recall 0.8 [0.869565,0.740741] recall 0.78 [0.869565,0.703704] recall 0.74 [0.73913,0.740741] recall 0.82 [0.869565,0.777778] recall 0.78 [0.73913,0.814815] recall 0.8 [0.73913,0.851852] recall 0.76 [0.73913,0.777778] recall 0.78 [0.869565,0.703704] recall 0.72 [0.73913,0.703704] recall 0.78 [0.73913,0.814815] recall 0.84 [0.913043,0.777778] recall 0.82 [0.826087,0.814815] recall 0.66 [0.695652,0.62963] recall 0.8 [0.73913,0.851852] recall 0.76 [0.695652,0.814815] recall 0.66 [0.695652,0.62963] recall 0.74 [0.826087,0.666667] recall 0.74 [0.652174,0.814815] recall 0.8 [0.73913,0.851852] recall 0.84 [0.869565,0.814815] recall 0.92 [0.826087,1] recall 0.8 [0.826087,0.777778] recall 0.88 [0.913043,0.851852] recall 0.86 [0.826087,0.888889] recall 0.78 [0.826087,0.740741] recall 0.88 [0.869565,0.888889] recall 0.8 [0.73913,0.851852] recall 0.88 [0.826087,0.925926] recall 0.72 [0.782609,0.666667] recall 0.74 [0.652174,0.814815] recall 0.84 [0.956522,0.740741] recall 0.88 [0.913043,0.851852] recall 0.72 [0.73913,0.703704] recall 0.66 [0.521739,0.777778] recall 0.8 [0.826087,0.777778] recall 0.8 [0.782609,0.814815] recall 0.76 [0.826087,0.703704] recall 0.6 [0.625,0.576923] recall 0.74 [0.666667,0.807692] recall 0.66 [0.791667,0.538462] recall 0.76 [0.791667,0.730769] recall 0.82 [0.826087,0.814815] recall 0.8 [0.791667,0.807692] recall 0.84 [0.833333,0.846154] recall 0.78 [0.869565,0.703704] recall 0.74 [0.75,0.730769] recall 0.62 [0.583333,0.653846] recall 0.72 [0.708333,0.730769] recall 0.78 [0.875,0.692308] recall 0.84 [0.75,0.923077] recall 0.76 [0.625,0.884615] recall 0.92 [0.869565,0.962963] recall 0.78 [0.708333,0.846154] recall 0.78 [0.833333,0.730769] recall 0.76 [0.608696,0.888889] recall 0.74 [0.75,0.730769] recall 0.74 [0.75,0.730769] recall 0.74 [0.708333,0.769231] recall 0.76 [0.791667,0.730769] recall 0.76 [0.833333,0.692308] recall 0.74 [0.75,0.730769] recall 0.78 [0.782609,0.777778] recall 0.74 [0.875,0.615385] recall 0.78 [0.791667,0.769231] recall 0.88 [0.956522,0.814815] recall 0.86 [0.833333,0.884615] recall 0.66 [0.708333,0.615385] relative_absolute_error 0.688337 relative_absolute_error 0.625467 relative_absolute_error 0.721251 relative_absolute_error 0.618259 relative_absolute_error 0.715124 relative_absolute_error 0.695941 relative_absolute_error 0.65607 relative_absolute_error 0.70095 relative_absolute_error 0.760227 relative_absolute_error 0.706634 relative_absolute_error 0.718668 relative_absolute_error 0.642054 relative_absolute_error 0.633592 relative_absolute_error 0.561442 relative_absolute_error 0.774225 relative_absolute_error 0.809338 relative_absolute_error 0.760333 relative_absolute_error 0.744724 relative_absolute_error 0.656402 relative_absolute_error 0.683413 relative_absolute_error 0.669426 relative_absolute_error 0.643047 relative_absolute_error 0.632587 relative_absolute_error 0.600926 relative_absolute_error 0.785423 relative_absolute_error 0.742471 relative_absolute_error 0.710616 relative_absolute_error 0.72648 relative_absolute_error 0.614869 relative_absolute_error 0.655237 relative_absolute_error 0.666559 relative_absolute_error 0.782848 relative_absolute_error 0.640602 relative_absolute_error 0.678038 relative_absolute_error 0.697031 relative_absolute_error 0.696574 relative_absolute_error 0.629039 relative_absolute_error 0.704646 relative_absolute_error 0.655351 relative_absolute_error 0.689019 relative_absolute_error 0.683042 relative_absolute_error 0.802924 relative_absolute_error 0.702333 relative_absolute_error 0.547396 relative_absolute_error 0.709688 relative_absolute_error 0.840479 relative_absolute_error 0.623623 relative_absolute_error 0.67341 relative_absolute_error 0.717085 relative_absolute_error 0.700782 relative_absolute_error 0.778007 relative_absolute_error 0.701495 relative_absolute_error 0.604858 relative_absolute_error 0.548067 relative_absolute_error 0.611833 relative_absolute_error 0.650648 relative_absolute_error 0.645046 relative_absolute_error 0.743287 relative_absolute_error 0.641703 relative_absolute_error 0.602721 relative_absolute_error 0.644274 relative_absolute_error 0.69375 relative_absolute_error 0.683796 relative_absolute_error 0.699431 relative_absolute_error 0.646575 relative_absolute_error 0.739624 relative_absolute_error 0.754484 relative_absolute_error 0.695275 relative_absolute_error 0.665331 relative_absolute_error 0.704407 relative_absolute_error 0.818142 relative_absolute_error 0.704913 relative_absolute_error 0.838427 relative_absolute_error 0.721953 relative_absolute_error 0.634015 relative_absolute_error 0.671967 relative_absolute_error 0.668246 relative_absolute_error 0.72246 relative_absolute_error 0.750067 relative_absolute_error 0.79183 relative_absolute_error 0.700597 relative_absolute_error 0.71836 relative_absolute_error 0.627988 relative_absolute_error 0.718515 relative_absolute_error 0.611218 relative_absolute_error 0.666226 relative_absolute_error 0.730956 relative_absolute_error 0.713288 relative_absolute_error 0.745495 relative_absolute_error 0.746941 relative_absolute_error 0.70932 relative_absolute_error 0.676192 relative_absolute_error 0.612009 relative_absolute_error 0.716377 relative_absolute_error 0.709924 relative_absolute_error 0.741782 relative_absolute_error 0.72122 relative_absolute_error 0.606416 relative_absolute_error 0.631175 relative_absolute_error 0.767101 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 0.38723 root_mean_squared_error 0.349047 root_mean_squared_error 0.401599 root_mean_squared_error 0.352296 root_mean_squared_error 0.408526 root_mean_squared_error 0.417114 root_mean_squared_error 0.377875 root_mean_squared_error 0.388755 root_mean_squared_error 0.438115 root_mean_squared_error 0.401763 root_mean_squared_error 0.420313 root_mean_squared_error 0.363472 root_mean_squared_error 0.362374 root_mean_squared_error 0.323002 root_mean_squared_error 0.436314 root_mean_squared_error 0.452021 root_mean_squared_error 0.42593 root_mean_squared_error 0.425471 root_mean_squared_error 0.380527 root_mean_squared_error 0.394044 root_mean_squared_error 0.376759 root_mean_squared_error 0.370673 root_mean_squared_error 0.369051 root_mean_squared_error 0.33167 root_mean_squared_error 0.438162 root_mean_squared_error 0.428147 root_mean_squared_error 0.39332 root_mean_squared_error 0.404387 root_mean_squared_error 0.351577 root_mean_squared_error 0.3707 root_mean_squared_error 0.38897 root_mean_squared_error 0.442339 root_mean_squared_error 0.382597 root_mean_squared_error 0.388394 root_mean_squared_error 0.397242 root_mean_squared_error 0.389567 root_mean_squared_error 0.37784 root_mean_squared_error 0.395816 root_mean_squared_error 0.379874 root_mean_squared_error 0.397356 root_mean_squared_error 0.385134 root_mean_squared_error 0.438661 root_mean_squared_error 0.3939 root_mean_squared_error 0.334359 root_mean_squared_error 0.398504 root_mean_squared_error 0.461441 root_mean_squared_error 0.36738 root_mean_squared_error 0.387382 root_mean_squared_error 0.40935 root_mean_squared_error 0.406658 root_mean_squared_error 0.443724 root_mean_squared_error 0.394429 root_mean_squared_error 0.380456 root_mean_squared_error 0.318282 root_mean_squared_error 0.38805 root_mean_squared_error 0.358365 root_mean_squared_error 0.354004 root_mean_squared_error 0.421682 root_mean_squared_error 0.357902 root_mean_squared_error 0.364112 root_mean_squared_error 0.364567 root_mean_squared_error 0.406708 root_mean_squared_error 0.405934 root_mean_squared_error 0.397372 root_mean_squared_error 0.366973 root_mean_squared_error 0.428998 root_mean_squared_error 0.443318 root_mean_squared_error 0.39015 root_mean_squared_error 0.374933 root_mean_squared_error 0.408728 root_mean_squared_error 0.456982 root_mean_squared_error 0.389141 root_mean_squared_error 0.455726 root_mean_squared_error 0.404262 root_mean_squared_error 0.369997 root_mean_squared_error 0.383664 root_mean_squared_error 0.386205 root_mean_squared_error 0.399347 root_mean_squared_error 0.427302 root_mean_squared_error 0.466487 root_mean_squared_error 0.395077 root_mean_squared_error 0.414086 root_mean_squared_error 0.38049 root_mean_squared_error 0.427556 root_mean_squared_error 0.35032 root_mean_squared_error 0.378375 root_mean_squared_error 0.415891 root_mean_squared_error 0.406449 root_mean_squared_error 0.427469 root_mean_squared_error 0.412474 root_mean_squared_error 0.404421 root_mean_squared_error 0.41197 root_mean_squared_error 0.359999 root_mean_squared_error 0.404317 root_mean_squared_error 0.403741 root_mean_squared_error 0.425954 root_mean_squared_error 0.415811 root_mean_squared_error 0.352824 root_mean_squared_error 0.358776 root_mean_squared_error 0.430482 root_relative_squared_error 0.776891 root_relative_squared_error 0.700286 root_relative_squared_error 0.80572 root_relative_squared_error 0.706804 root_relative_squared_error 0.817391 root_relative_squared_error 0.836848 root_relative_squared_error 0.758123 root_relative_squared_error 0.777832 root_relative_squared_error 0.87898 root_relative_squared_error 0.806049 root_relative_squared_error 0.843265 root_relative_squared_error 0.729225 root_relative_squared_error 0.727023 root_relative_squared_error 0.648033 root_relative_squared_error 0.872991 root_relative_squared_error 0.90688 root_relative_squared_error 0.854534 root_relative_squared_error 0.851297 root_relative_squared_error 0.763443 root_relative_squared_error 0.790562 root_relative_squared_error 0.755883 root_relative_squared_error 0.743673 root_relative_squared_error 0.74042 root_relative_squared_error 0.665422 root_relative_squared_error 0.876689 root_relative_squared_error 0.858982 root_relative_squared_error 0.789109 root_relative_squared_error 0.80911 root_relative_squared_error 0.705362 root_relative_squared_error 0.743727 root_relative_squared_error 0.780382 root_relative_squared_error 0.887456 root_relative_squared_error 0.767595 root_relative_squared_error 0.779226 root_relative_squared_error 0.796978 root_relative_squared_error 0.781581 root_relative_squared_error 0.758052 root_relative_squared_error 0.794117 root_relative_squared_error 0.762133 root_relative_squared_error 0.797206 root_relative_squared_error 0.772687 root_relative_squared_error 0.880076 root_relative_squared_error 0.790274 root_relative_squared_error 0.670817 root_relative_squared_error 0.79951 root_relative_squared_error 0.925779 root_relative_squared_error 0.737067 root_relative_squared_error 0.777196 root_relative_squared_error 0.82127 root_relative_squared_error 0.815869 root_relative_squared_error 0.890233 root_relative_squared_error 0.791335 root_relative_squared_error 0.763301 root_relative_squared_error 0.638563 root_relative_squared_error 0.778536 root_relative_squared_error 0.718981 root_relative_squared_error 0.71023 root_relative_squared_error 0.846011 root_relative_squared_error 0.718051 root_relative_squared_error 0.73051 root_relative_squared_error 0.731424 root_relative_squared_error 0.815969 root_relative_squared_error 0.814418 root_relative_squared_error 0.797238 root_relative_squared_error 0.736249 root_relative_squared_error 0.86069 root_relative_squared_error 0.88942 root_relative_squared_error 0.78275 root_relative_squared_error 0.752221 root_relative_squared_error 0.820022 root_relative_squared_error 0.914345 root_relative_squared_error 0.778606 root_relative_squared_error 0.91183 root_relative_squared_error 0.80886 root_relative_squared_error 0.742317 root_relative_squared_error 0.767648 root_relative_squared_error 0.772732 root_relative_squared_error 0.801202 root_relative_squared_error 0.85496 root_relative_squared_error 0.933362 root_relative_squared_error 0.790483 root_relative_squared_error 0.828516 root_relative_squared_error 0.761297 root_relative_squared_error 0.855467 root_relative_squared_error 0.70284 root_relative_squared_error 0.757064 root_relative_squared_error 0.832128 root_relative_squared_error 0.815451 root_relative_squared_error 0.855294 root_relative_squared_error 0.825291 root_relative_squared_error 0.809178 root_relative_squared_error 0.824282 root_relative_squared_error 0.720298 root_relative_squared_error 0.808971 root_relative_squared_error 0.810017 root_relative_squared_error 0.852263 root_relative_squared_error 0.831968 root_relative_squared_error 0.707864 root_relative_squared_error 0.717851 root_relative_squared_error 0.861322 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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 1300 usercpu_time_millis 310 usercpu_time_millis 270 usercpu_time_millis 410 usercpu_time_millis 290 usercpu_time_millis 300 usercpu_time_millis 260 usercpu_time_millis 270 usercpu_time_millis 260 usercpu_time_millis 260 usercpu_time_millis 330 usercpu_time_millis 300 usercpu_time_millis 280 usercpu_time_millis 370 usercpu_time_millis 300 usercpu_time_millis 300 usercpu_time_millis 270 usercpu_time_millis 270 usercpu_time_millis 230 usercpu_time_millis 270 usercpu_time_millis 320 usercpu_time_millis 310 usercpu_time_millis 270 usercpu_time_millis 390 usercpu_time_millis 290 usercpu_time_millis 300 usercpu_time_millis 260 usercpu_time_millis 260 usercpu_time_millis 260 usercpu_time_millis 240 usercpu_time_millis 300 usercpu_time_millis 310 usercpu_time_millis 280 usercpu_time_millis 390 usercpu_time_millis 280 usercpu_time_millis 300 usercpu_time_millis 270 usercpu_time_millis 280 usercpu_time_millis 260 usercpu_time_millis 260 usercpu_time_millis 300 usercpu_time_millis 270 usercpu_time_millis 260 usercpu_time_millis 390 usercpu_time_millis 270 usercpu_time_millis 290 usercpu_time_millis 320 usercpu_time_millis 270 usercpu_time_millis 260 usercpu_time_millis 270 usercpu_time_millis 390 usercpu_time_millis 280 usercpu_time_millis 260 usercpu_time_millis 360 usercpu_time_millis 270 usercpu_time_millis 300 usercpu_time_millis 240 usercpu_time_millis 280 usercpu_time_millis 270 usercpu_time_millis 260 usercpu_time_millis 420 usercpu_time_millis 280 usercpu_time_millis 370 usercpu_time_millis 290 usercpu_time_millis 260 usercpu_time_millis 280 usercpu_time_millis 270 usercpu_time_millis 250 usercpu_time_millis 260 usercpu_time_millis 250 usercpu_time_millis 300 usercpu_time_millis 290 usercpu_time_millis 390 usercpu_time_millis 280 usercpu_time_millis 260 usercpu_time_millis 290 usercpu_time_millis 270 usercpu_time_millis 240 usercpu_time_millis 260 usercpu_time_millis 250 usercpu_time_millis 310 usercpu_time_millis 280 usercpu_time_millis 420 usercpu_time_millis 290 usercpu_time_millis 280 usercpu_time_millis 280 usercpu_time_millis 270 usercpu_time_millis 250 usercpu_time_millis 260 usercpu_time_millis 260 usercpu_time_millis 310 usercpu_time_millis 280 usercpu_time_millis 390 usercpu_time_millis 280 usercpu_time_millis 270 usercpu_time_millis 270 usercpu_time_millis 270 usercpu_time_millis 260 usercpu_time_millis 250 usercpu_time_millis 250 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 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 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 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 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 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 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 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 0 usercpu_time_millis_testing 0 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 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 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 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 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 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 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 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