437450 2 Joaquin Vanschoren 4523 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_3.7.12 955 tae https://www.openml.org/data/download/53489/tae.arff -1 1530009 description https://api.openml.org/data/download/1530009/weka_generated_run8547556639308663612.xml -1 1530012 model_readable https://api.openml.org/data/download/1530012/WekaModel_weka.classifiers.meta.RotationForest5827678066182893484.model -1 1530011 model_serialized https://api.openml.org/data/download/1530011/WekaSerialized_weka.classifiers.meta.RotationForest9060082470206900646.model -1 1530010 predictions https://api.openml.org/data/download/1530010/weka_generated_predictions1874544596529805302.arff area_under_roc_curve 0.759713 [0.759713,0.759713] average_cost 0 f_measure 0.729242 [0.549941,0.823421] kappa 0.385259 kb_relative_information_score 315.727941 mean_absolute_error 0.36514 mean_prior_absolute_error 0.452192 number_of_instances 1510 [520,990] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.74004 [0.706949,0.757422] predictive_accuracy 0.746358 prior_entropy 0.930817 recall 0.746358 [0.45,0.90202] relative_absolute_error 0.807488 root_mean_prior_squared_error 0.475167 root_mean_squared_error 0.429987 root_relative_squared_error 0.904918 scimark_benchmark 932.438034 [542.1947888913218, 1001.2756661255861, 441.1428994530376, 912.4399121942508, 1765.1369023070451] total_cost 0 usercpu_time_millis 190 usercpu_time_millis_testing 40 usercpu_time_millis_training 150 area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.883333 [0.883333,0.883333] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.866667 [0.866667,0.866667] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.783333 [0.783333,0.783333] area_under_roc_curve 0.783333 [0.783333,0.783333] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.883333 [0.883333,0.883333] area_under_roc_curve 0.783333 [0.783333,0.783333] area_under_roc_curve 0.78 [0.78,0.78] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.68 [0.68,0.68] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.58 [0.58,0.58] area_under_roc_curve 0.740741 [0.740741,0.740741] area_under_roc_curve 0.78 [0.78,0.78] area_under_roc_curve 0.777778 [0.777778,0.777778] area_under_roc_curve 0.64 [0.64,0.64] area_under_roc_curve 0.740741 [0.740741,0.740741] area_under_roc_curve 0.72 [0.72,0.72] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.76 [0.76,0.76] area_under_roc_curve 0.92 [0.92,0.92] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.82 [0.82,0.82] area_under_roc_curve 0.46 [0.46,0.46] area_under_roc_curve 0.74 [0.74,0.74] area_under_roc_curve 0.81 [0.81,0.81] area_under_roc_curve 0.98 [0.98,0.98] area_under_roc_curve 0.74 [0.74,0.74] area_under_roc_curve 0.78 [0.78,0.78] area_under_roc_curve 0.96 [0.96,0.96] area_under_roc_curve 0.76 [0.76,0.76] area_under_roc_curve 0.76 [0.76,0.76] area_under_roc_curve 0.62 [0.62,0.62] area_under_roc_curve 0.68 [0.68,0.68] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.72 [0.72,0.72] area_under_roc_curve 0.84 [0.84,0.84] area_under_roc_curve 0.86 [0.86,0.86] area_under_roc_curve 0.86 [0.86,0.86] area_under_roc_curve 0.64 [0.64,0.64] area_under_roc_curve 0.76 [0.76,0.76] area_under_roc_curve 0.74 [0.74,0.74] area_under_roc_curve 0.88 [0.88,0.88] area_under_roc_curve 0.84 [0.84,0.84] area_under_roc_curve 0.88 [0.88,0.88] area_under_roc_curve 0.88 [0.88,0.88] area_under_roc_curve 0.58 [0.58,0.58] area_under_roc_curve 0.86 [0.86,0.86] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.78 [0.78,0.78] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.88 [0.88,0.88] area_under_roc_curve 0.71 [0.71,0.71] area_under_roc_curve 0.94 [0.94,0.94] area_under_roc_curve 0.88 [0.88,0.88] area_under_roc_curve 0.68 [0.68,0.68] area_under_roc_curve 0.86 [0.86,0.86] area_under_roc_curve 0.76 [0.76,0.76] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.64 [0.64,0.64] area_under_roc_curve 0.89 [0.89,0.89] area_under_roc_curve 0.96 [0.96,0.96] area_under_roc_curve 0.88 [0.88,0.88] area_under_roc_curve 0.82 [0.82,0.82] area_under_roc_curve 0.96 [0.96,0.96] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.94 [0.94,0.94] area_under_roc_curve 0.84 [0.84,0.84] area_under_roc_curve 0.57 [0.57,0.57] area_under_roc_curve 0.74 [0.74,0.74] area_under_roc_curve 0.92 [0.92,0.92] area_under_roc_curve 0.74 [0.74,0.74] area_under_roc_curve 0.66 [0.66,0.66] area_under_roc_curve 0.74 [0.74,0.74] area_under_roc_curve 0.67 [0.67,0.67] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.96 [0.96,0.96] area_under_roc_curve 0.74 [0.74,0.74] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.98 [0.98,0.98] area_under_roc_curve 0.86 [0.86,0.86] area_under_roc_curve 0.92 [0.92,0.92] area_under_roc_curve 0.76 [0.76,0.76] area_under_roc_curve 0.96 [0.96,0.96] area_under_roc_curve 0.66 [0.66,0.66] area_under_roc_curve 0.925926 [0.925926,0.925926] area_under_roc_curve 0.842593 [0.842593,0.842593] area_under_roc_curve 0.777778 [0.777778,0.777778] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.87037 [0.87037,0.87037] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.851852 [0.851852,0.851852] area_under_roc_curve 0.84 [0.84,0.84] area_under_roc_curve 0.777778 [0.777778,0.777778] area_under_roc_curve 0.87 [0.87,0.87] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.607143 [0.285714,0.8] f_measure 0.708333 [0.5,0.833333] f_measure 0.604545 [0.4,0.727273] f_measure 0.736364 [0.6,0.818182] f_measure 0.655797 [0.444444,0.782609] f_measure 0.655797 [0.444444,0.782609] f_measure 0.604545 [0.4,0.727273] f_measure 0.75 [0.666667,0.8] f_measure 0.607143 [0.285714,0.8] f_measure 0.655797 [0.444444,0.782609] f_measure 0.712121 [0.5,0.818182] f_measure 0.6 [0.4,0.7] f_measure 0.666667 [0.333333,0.833333] f_measure 0.666667 [0.333333,0.833333] f_measure 0.47619 [0.428571,0.5] f_measure 0.603571 [0.571429,0.625] f_measure 0.770186 [0.571429,0.869565] f_measure 0.780952 [0.666667,0.857143] f_measure 0.733333 [0.6,0.8] f_measure 0.72 [0.6,0.8] f_measure 0.712121 [0.5,0.818182] f_measure 0.656085 [0.444444,0.761905] f_measure 0.666667 [0.333333,0.833333] f_measure 0.856061 [0.75,0.909091] f_measure 0.856061 [0.75,0.909091] f_measure 0.733333 [0.6,0.8] f_measure 0.616977 [0.285714,0.782609] f_measure 0.568182 [0.25,0.727273] f_measure 0.712121 [0.5,0.818182] f_measure 0.866667 [0.8,0.9] f_measure 0.666667 [0.333333,0.833333] f_measure 0.803828 [0.727273,0.842105] f_measure 0.856061 [0.75,0.909091] f_measure 0.656085 [0.444444,0.761905] f_measure 0.666667 [0.333333,0.833333] f_measure 0.463768 [0,0.695652] f_measure 0.675716 [0.615385,0.705882] f_measure 0.666667 [0.333333,0.833333] f_measure 0.712121 [0.5,0.818182] f_measure 0.856061 [0.75,0.909091] f_measure 0.770186 [0.571429,0.869565] f_measure 0.616977 [0.285714,0.782609] f_measure 0.673046 [0.545455,0.736842] f_measure 0.656085 [0.444444,0.761905] f_measure 0.533333 [0,0.8] f_measure 0.793651 [0.666667,0.857143] f_measure 0.568182 [0.25,0.727273] f_measure 0.856061 [0.75,0.909091] f_measure 0.712121 [0.5,0.818182] f_measure 0.712121 [0.5,0.818182] f_measure 0.733333 [0.6,0.8] f_measure 0.616977 [0.285714,0.782609] f_measure 0.856061 [0.75,0.909091] f_measure 0.712121 [0.5,0.818182] f_measure 0.666667 [0.333333,0.833333] f_measure 0.666667 [0.333333,0.833333] f_measure 0.712121 [0.5,0.818182] f_measure 0.793651 [0.666667,0.857143] f_measure 0.616977 [0.285714,0.782609] f_measure 0.740741 [0.666667,0.777778] f_measure 0.866667 [0.8,0.9] f_measure 0.5 [0,0.75] f_measure 0.770186 [0.571429,0.869565] f_measure 0.712121 [0.5,0.818182] f_measure 0.866667 [0.8,0.9] f_measure 0.931217 [0.888889,0.952381] f_measure 0.712121 [0.5,0.818182] f_measure 0.866667 [0.8,0.9] f_measure 0.856061 [0.75,0.909091] f_measure 0.770186 [0.571429,0.869565] f_measure 0.712121 [0.5,0.818182] f_measure 0.712121 [0.5,0.818182] f_measure 0.856061 [0.75,0.909091] f_measure 0.673046 [0.545455,0.736842] f_measure 0.712121 [0.5,0.818182] f_measure 0.866667 [0.8,0.9] f_measure 0.712121 [0.5,0.818182] f_measure 0.666667 [0.333333,0.833333] f_measure 0.5 [0,0.75] f_measure 0.666667 [0.333333,0.833333] f_measure 0.856061 [0.75,0.909091] f_measure 0.856061 [0.75,0.909091] f_measure 0.656085 [0.444444,0.761905] f_measure 0.770186 [0.571429,0.869565] f_measure 0.931217 [0.888889,0.952381] f_measure 0.5 [0,0.75] f_measure 0.856061 [0.75,0.909091] f_measure 0.770186 [0.571429,0.869565] f_measure 0.931217 [0.888889,0.952381] f_measure 0.616977 [0.285714,0.782609] f_measure 0.796172 [0.727273,0.842105] f_measure 0.796172 [0.727273,0.842105] f_measure 0.796172 [0.727273,0.842105] f_measure 0.72 [0.6,0.8] f_measure 0.86 [0.8,0.9] f_measure 0.793651 [0.666667,0.857143] f_measure 0.780952 [0.666667,0.857143] f_measure 0.712121 [0.5,0.818182] f_measure 0.80181 [0.769231,0.823529] f_measure 0.793651 [0.666667,0.857143] kappa 0.2 kappa 0.384615 kappa 0.142857 kappa 0.428571 kappa 0.259259 kappa 0.259259 kappa 0.142857 kappa 0.466667 kappa 0.2 kappa 0.259259 kappa 0.333333 kappa 0.1 kappa 0.25 kappa 0.25 kappa 0 kappa 0.210526 kappa 0.470588 kappa 0.545455 kappa 0.4 kappa 0.411765 kappa 0.333333 kappa 0.210526 kappa 0.25 kappa 0.666667 kappa 0.666667 kappa 0.4 kappa 0.117647 kappa 0 kappa 0.333333 kappa 0.7 kappa 0.25 kappa 0.571429 kappa 0.666667 kappa 0.210526 kappa 0.25 kappa -0.235294 kappa 0.347826 kappa 0.25 kappa 0.333333 kappa 0.666667 kappa 0.470588 kappa 0.117647 kappa 0.285714 kappa 0.210526 kappa 0 kappa 0.526316 kappa 0 kappa 0.666667 kappa 0.333333 kappa 0.333333 kappa 0.4 kappa 0.117647 kappa 0.666667 kappa 0.333333 kappa 0.25 kappa 0.25 kappa 0.333333 kappa 0.526316 kappa 0.117647 kappa 0.454545 kappa 0.7 kappa -0.125 kappa 0.470588 kappa 0.333333 kappa 0.7 kappa 0.842105 kappa 0.333333 kappa 0.7 kappa 0.666667 kappa 0.470588 kappa 0.333333 kappa 0.333333 kappa 0.666667 kappa 0.285714 kappa 0.333333 kappa 0.7 kappa 0.333333 kappa 0.25 kappa -0.125 kappa 0.25 kappa 0.666667 kappa 0.666667 kappa 0.210526 kappa 0.470588 kappa 0.842105 kappa -0.125 kappa 0.666667 kappa 0.470588 kappa 0.842105 kappa 0.117647 kappa 0.571429 kappa 0.571429 kappa 0.571429 kappa 0.411765 kappa 0.705882 kappa 0.526316 kappa 0.545455 kappa 0.333333 kappa 0.594595 kappa 0.526316 kb_relative_information_score 0.696289 kb_relative_information_score 3.988134 kb_relative_information_score 1.876288 kb_relative_information_score 4.358816 kb_relative_information_score 2.049665 kb_relative_information_score 2.727059 kb_relative_information_score 2.103263 kb_relative_information_score 4.562653 kb_relative_information_score 2.857415 kb_relative_information_score 1.69917 kb_relative_information_score 2.651138 kb_relative_information_score 1.345976 kb_relative_information_score 2.038675 kb_relative_information_score 3.258315 kb_relative_information_score -1.047369 kb_relative_information_score 2.032275 kb_relative_information_score 4.702771 kb_relative_information_score 3.894586 kb_relative_information_score 1.805178 kb_relative_information_score 2.684843 kb_relative_information_score 2.307892 kb_relative_information_score 0.531724 kb_relative_information_score 2.560612 kb_relative_information_score 5.13119 kb_relative_information_score 3.548384 kb_relative_information_score 3.088615 kb_relative_information_score 1.99777 kb_relative_information_score 1.261358 kb_relative_information_score 2.377988 kb_relative_information_score 5.464044 kb_relative_information_score 2.895639 kb_relative_information_score 4.325953 kb_relative_information_score 5.304333 kb_relative_information_score 1.202916 kb_relative_information_score 3.332219 kb_relative_information_score 0.840274 kb_relative_information_score 0.681256 kb_relative_information_score 2.431094 kb_relative_information_score 1.649982 kb_relative_information_score 6.70246 kb_relative_information_score 3.740637 kb_relative_information_score 2.041369 kb_relative_information_score 1.697338 kb_relative_information_score 2.341398 kb_relative_information_score 2.07201 kb_relative_information_score 4.410433 kb_relative_information_score 1.102793 kb_relative_information_score 5.90158 kb_relative_information_score 3.361003 kb_relative_information_score 2.389562 kb_relative_information_score 3.306589 kb_relative_information_score 1.534688 kb_relative_information_score 2.797814 kb_relative_information_score 3.331753 kb_relative_information_score 3.7583 kb_relative_information_score 3.719091 kb_relative_information_score 3.276123 kb_relative_information_score 5.626888 kb_relative_information_score 2.746403 kb_relative_information_score 2.212661 kb_relative_information_score 5.095385 kb_relative_information_score 1.123441 kb_relative_information_score 5.041122 kb_relative_information_score 1.658116 kb_relative_information_score 5.222321 kb_relative_information_score 5.085159 kb_relative_information_score 3.285973 kb_relative_information_score 1.916991 kb_relative_information_score 5.617982 kb_relative_information_score 4.619285 kb_relative_information_score 3.955161 kb_relative_information_score 3.971343 kb_relative_information_score 4.189944 kb_relative_information_score -0.482865 kb_relative_information_score 2.290176 kb_relative_information_score 4.507376 kb_relative_information_score 2.371237 kb_relative_information_score 1.642972 kb_relative_information_score 1.398811 kb_relative_information_score 3.111313 kb_relative_information_score 5.130446 kb_relative_information_score 5.115851 kb_relative_information_score 2.113179 kb_relative_information_score 4.926541 kb_relative_information_score 5.924742 kb_relative_information_score 1.659069 kb_relative_information_score 4.979701 kb_relative_information_score 2.663129 kb_relative_information_score 5.739545 kb_relative_information_score 1.738145 kb_relative_information_score 4.149958 kb_relative_information_score 3.671659 kb_relative_information_score 4.966673 kb_relative_information_score 3.012504 kb_relative_information_score 4.60131 kb_relative_information_score 3.995121 kb_relative_information_score 5.119339 kb_relative_information_score 3.44274 kb_relative_information_score 3.721388 kb_relative_information_score 4.146386 mean_absolute_error 0.425996 mean_absolute_error 0.36402 mean_absolute_error 0.406476 mean_absolute_error 0.357938 mean_absolute_error 0.406011 mean_absolute_error 0.392 mean_absolute_error 0.402596 mean_absolute_error 0.347631 mean_absolute_error 0.387588 mean_absolute_error 0.415294 mean_absolute_error 0.371141 mean_absolute_error 0.400937 mean_absolute_error 0.385907 mean_absolute_error 0.355515 mean_absolute_error 0.454057 mean_absolute_error 0.40964 mean_absolute_error 0.327293 mean_absolute_error 0.375786 mean_absolute_error 0.399076 mean_absolute_error 0.398978 mean_absolute_error 0.37501 mean_absolute_error 0.427456 mean_absolute_error 0.373399 mean_absolute_error 0.312015 mean_absolute_error 0.350194 mean_absolute_error 0.355626 mean_absolute_error 0.382023 mean_absolute_error 0.398255 mean_absolute_error 0.384885 mean_absolute_error 0.309317 mean_absolute_error 0.370289 mean_absolute_error 0.333645 mean_absolute_error 0.310682 mean_absolute_error 0.40242 mean_absolute_error 0.354621 mean_absolute_error 0.409634 mean_absolute_error 0.419746 mean_absolute_error 0.376298 mean_absolute_error 0.404035 mean_absolute_error 0.276975 mean_absolute_error 0.351918 mean_absolute_error 0.385974 mean_absolute_error 0.397222 mean_absolute_error 0.37251 mean_absolute_error 0.386435 mean_absolute_error 0.330228 mean_absolute_error 0.405976 mean_absolute_error 0.294175 mean_absolute_error 0.354543 mean_absolute_error 0.382107 mean_absolute_error 0.362949 mean_absolute_error 0.393547 mean_absolute_error 0.371088 mean_absolute_error 0.352855 mean_absolute_error 0.342683 mean_absolute_error 0.345013 mean_absolute_error 0.359399 mean_absolute_error 0.298892 mean_absolute_error 0.362474 mean_absolute_error 0.386532 mean_absolute_error 0.31518 mean_absolute_error 0.405807 mean_absolute_error 0.315218 mean_absolute_error 0.391529 mean_absolute_error 0.310556 mean_absolute_error 0.321755 mean_absolute_error 0.351214 mean_absolute_error 0.391879 mean_absolute_error 0.298245 mean_absolute_error 0.324722 mean_absolute_error 0.334369 mean_absolute_error 0.342402 mean_absolute_error 0.341358 mean_absolute_error 0.459037 mean_absolute_error 0.384926 mean_absolute_error 0.333856 mean_absolute_error 0.379475 mean_absolute_error 0.396279 mean_absolute_error 0.3933 mean_absolute_error 0.367167 mean_absolute_error 0.313775 mean_absolute_error 0.316831 mean_absolute_error 0.385758 mean_absolute_error 0.318806 mean_absolute_error 0.30311 mean_absolute_error 0.393321 mean_absolute_error 0.322497 mean_absolute_error 0.373154 mean_absolute_error 0.300962 mean_absolute_error 0.391836 mean_absolute_error 0.364637 mean_absolute_error 0.377775 mean_absolute_error 0.344929 mean_absolute_error 0.393177 mean_absolute_error 0.358558 mean_absolute_error 0.341025 mean_absolute_error 0.334606 mean_absolute_error 0.352644 mean_absolute_error 0.369285 mean_absolute_error 0.335168 mean_prior_absolute_error 0.461601 mean_prior_absolute_error 0.461601 mean_prior_absolute_error 0.461601 mean_prior_absolute_error 0.461601 mean_prior_absolute_error 0.461601 mean_prior_absolute_error 0.461601 mean_prior_absolute_error 0.461601 mean_prior_absolute_error 0.461601 mean_prior_absolute_error 0.461601 mean_prior_absolute_error 0.461601 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.469281 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.469281 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.469281 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.469281 mean_prior_absolute_error 0.469281 mean_prior_absolute_error 0.469281 mean_prior_absolute_error 0.469281 mean_prior_absolute_error 0.469281 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.469281 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.469281 mean_prior_absolute_error 0.448802 number_of_instances 16 [6,10] number_of_instances 16 [6,10] number_of_instances 16 [6,10] number_of_instances 16 [6,10] number_of_instances 16 [6,10] number_of_instances 16 [6,10] number_of_instances 16 [6,10] number_of_instances 16 [6,10] number_of_instances 16 [6,10] number_of_instances 16 [6,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [6,9] number_of_instances 15 [5,10] number_of_instances 15 [6,9] number_of_instances 15 [5,10] number_of_instances 15 [6,9] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [6,9] number_of_instances 15 [6,9] number_of_instances 15 [6,9] number_of_instances 15 [6,9] number_of_instances 15 [6,9] number_of_instances 15 [5,10] number_of_instances 15 [6,9] number_of_instances 15 [5,10] number_of_instances 15 [6,9] number_of_instances 15 [5,10] precision 0.791667 [1,0.666667] precision 0.821429 [1,0.714286] precision 0.604167 [0.5,0.666667] precision 0.75 [0.75,0.75] precision 0.682692 [0.666667,0.692308] precision 0.682692 [0.666667,0.692308] precision 0.604167 [0.5,0.666667] precision 0.75 [0.666667,0.8] precision 0.791667 [1,0.666667] precision 0.682692 [0.666667,0.692308] precision 0.722222 [0.666667,0.75] precision 0.6 [0.4,0.7] precision 0.809524 [1,0.714286] precision 0.809524 [1,0.714286] precision 0.555556 [0.333333,0.666667] precision 0.628571 [0.5,0.714286] precision 0.846154 [1,0.769231] precision 0.85 [1,0.75] precision 0.733333 [0.6,0.8] precision 0.736364 [0.75,0.727273] precision 0.722222 [0.666667,0.75] precision 0.651515 [0.5,0.727273] precision 0.809524 [1,0.714286] precision 0.888889 [1,0.833333] precision 0.888889 [1,0.833333] precision 0.733333 [0.6,0.8] precision 0.628205 [0.5,0.692308] precision 0.555556 [0.333333,0.666667] precision 0.722222 [0.666667,0.75] precision 0.866667 [0.8,0.9] precision 0.809524 [1,0.714286] precision 0.814815 [0.666667,0.888889] precision 0.888889 [1,0.833333] precision 0.651515 [0.5,0.727273] precision 0.809524 [1,0.714286] precision 0.410256 [0,0.615385] precision 0.738095 [0.5,0.857143] precision 0.809524 [1,0.714286] precision 0.722222 [0.666667,0.75] precision 0.888889 [1,0.833333] precision 0.846154 [1,0.769231] precision 0.628205 [0.5,0.692308] precision 0.685185 [0.5,0.777778] precision 0.651515 [0.5,0.727273] precision 0.444444 [0,0.666667] precision 0.795455 [0.75,0.818182] precision 0.555556 [0.333333,0.666667] precision 0.888889 [1,0.833333] precision 0.722222 [0.666667,0.75] precision 0.722222 [0.666667,0.75] precision 0.733333 [0.6,0.8] precision 0.628205 [0.5,0.692308] precision 0.888889 [1,0.833333] precision 0.722222 [0.666667,0.75] precision 0.809524 [1,0.714286] precision 0.809524 [1,0.714286] precision 0.722222 [0.666667,0.75] precision 0.795455 [0.75,0.818182] precision 0.628205 [0.5,0.692308] precision 0.77381 [0.571429,0.875] precision 0.866667 [0.8,0.9] precision 0.428571 [0,0.642857] precision 0.846154 [1,0.769231] precision 0.722222 [0.666667,0.75] precision 0.866667 [0.8,0.9] precision 0.939394 [1,0.909091] precision 0.722222 [0.666667,0.75] precision 0.866667 [0.8,0.9] precision 0.888889 [1,0.833333] precision 0.846154 [1,0.769231] precision 0.722222 [0.666667,0.75] precision 0.722222 [0.666667,0.75] precision 0.888889 [1,0.833333] precision 0.685185 [0.5,0.777778] precision 0.722222 [0.666667,0.75] precision 0.866667 [0.8,0.9] precision 0.722222 [0.666667,0.75] precision 0.809524 [1,0.714286] precision 0.428571 [0,0.642857] precision 0.809524 [1,0.714286] precision 0.888889 [1,0.833333] precision 0.888889 [1,0.833333] precision 0.651515 [0.5,0.727273] precision 0.846154 [1,0.769231] precision 0.939394 [1,0.909091] precision 0.428571 [0,0.642857] precision 0.888889 [1,0.833333] precision 0.846154 [1,0.769231] precision 0.939394 [1,0.909091] precision 0.628205 [0.5,0.692308] precision 0.8 [0.8,0.8] precision 0.8 [0.8,0.8] precision 0.8 [0.8,0.8] precision 0.736364 [0.75,0.727273] precision 0.890909 [1,0.818182] precision 0.795455 [0.75,0.818182] precision 0.85 [1,0.75] precision 0.722222 [0.666667,0.75] precision 0.810714 [0.714286,0.875] precision 0.795455 [0.75,0.818182] predictive_accuracy 0.6875 predictive_accuracy 0.75 predictive_accuracy 0.625 predictive_accuracy 0.75 predictive_accuracy 0.6875 predictive_accuracy 0.6875 predictive_accuracy 0.625 predictive_accuracy 0.75 predictive_accuracy 0.6875 predictive_accuracy 0.6875 predictive_accuracy 0.733333 predictive_accuracy 0.6 predictive_accuracy 0.733333 predictive_accuracy 0.733333 predictive_accuracy 0.466667 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.733333 predictive_accuracy 0.733333 predictive_accuracy 0.733333 predictive_accuracy 0.666667 predictive_accuracy 0.733333 predictive_accuracy 0.866667 predictive_accuracy 0.866667 predictive_accuracy 0.733333 predictive_accuracy 0.666667 predictive_accuracy 0.6 predictive_accuracy 0.733333 predictive_accuracy 0.866667 predictive_accuracy 0.733333 predictive_accuracy 0.8 predictive_accuracy 0.866667 predictive_accuracy 0.666667 predictive_accuracy 0.733333 predictive_accuracy 0.533333 predictive_accuracy 0.666667 predictive_accuracy 0.733333 predictive_accuracy 0.733333 predictive_accuracy 0.866667 predictive_accuracy 0.8 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.866667 predictive_accuracy 0.733333 predictive_accuracy 0.733333 predictive_accuracy 0.733333 predictive_accuracy 0.666667 predictive_accuracy 0.866667 predictive_accuracy 0.733333 predictive_accuracy 0.733333 predictive_accuracy 0.733333 predictive_accuracy 0.733333 predictive_accuracy 0.8 predictive_accuracy 0.666667 predictive_accuracy 0.733333 predictive_accuracy 0.866667 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.733333 predictive_accuracy 0.866667 predictive_accuracy 0.933333 predictive_accuracy 0.733333 predictive_accuracy 0.866667 predictive_accuracy 0.866667 predictive_accuracy 0.8 predictive_accuracy 0.733333 predictive_accuracy 0.733333 predictive_accuracy 0.866667 predictive_accuracy 0.666667 predictive_accuracy 0.733333 predictive_accuracy 0.866667 predictive_accuracy 0.733333 predictive_accuracy 0.733333 predictive_accuracy 0.6 predictive_accuracy 0.733333 predictive_accuracy 0.866667 predictive_accuracy 0.866667 predictive_accuracy 0.666667 predictive_accuracy 0.8 predictive_accuracy 0.933333 predictive_accuracy 0.6 predictive_accuracy 0.866667 predictive_accuracy 0.8 predictive_accuracy 0.933333 predictive_accuracy 0.666667 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.733333 predictive_accuracy 0.866667 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.733333 predictive_accuracy 0.8 predictive_accuracy 0.8 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 recall 0.6875 [0.166667,1] recall 0.75 [0.333333,1] recall 0.625 [0.333333,0.8] recall 0.75 [0.5,0.9] recall 0.6875 [0.333333,0.9] recall 0.6875 [0.333333,0.9] recall 0.625 [0.333333,0.8] recall 0.75 [0.666667,0.8] recall 0.6875 [0.166667,1] recall 0.6875 [0.333333,0.9] recall 0.733333 [0.4,0.9] recall 0.6 [0.4,0.7] recall 0.733333 [0.2,1] recall 0.733333 [0.2,1] recall 0.466667 [0.6,0.4] recall 0.6 [0.666667,0.555556] recall 0.8 [0.4,1] recall 0.8 [0.5,1] recall 0.733333 [0.6,0.8] recall 0.733333 [0.5,0.888889] recall 0.733333 [0.4,0.9] recall 0.666667 [0.4,0.8] recall 0.733333 [0.2,1] recall 0.866667 [0.6,1] recall 0.866667 [0.6,1] recall 0.733333 [0.6,0.8] recall 0.666667 [0.2,0.9] recall 0.6 [0.2,0.8] recall 0.733333 [0.4,0.9] recall 0.866667 [0.8,0.9] recall 0.733333 [0.2,1] recall 0.8 [0.8,0.8] recall 0.866667 [0.6,1] recall 0.666667 [0.4,0.8] recall 0.733333 [0.2,1] recall 0.533333 [0,0.8] recall 0.666667 [0.8,0.6] recall 0.733333 [0.2,1] recall 0.733333 [0.4,0.9] recall 0.866667 [0.6,1] recall 0.8 [0.4,1] recall 0.666667 [0.2,0.9] recall 0.666667 [0.6,0.7] recall 0.666667 [0.4,0.8] recall 0.666667 [0,1] recall 0.8 [0.6,0.9] recall 0.6 [0.2,0.8] recall 0.866667 [0.6,1] recall 0.733333 [0.4,0.9] recall 0.733333 [0.4,0.9] recall 0.733333 [0.6,0.8] recall 0.666667 [0.2,0.9] recall 0.866667 [0.6,1] recall 0.733333 [0.4,0.9] recall 0.733333 [0.2,1] recall 0.733333 [0.2,1] recall 0.733333 [0.4,0.9] recall 0.8 [0.6,0.9] recall 0.666667 [0.2,0.9] recall 0.733333 [0.8,0.7] recall 0.866667 [0.8,0.9] recall 0.6 [0,0.9] recall 0.8 [0.4,1] recall 0.733333 [0.4,0.9] recall 0.866667 [0.8,0.9] recall 0.933333 [0.8,1] recall 0.733333 [0.4,0.9] recall 0.866667 [0.8,0.9] recall 0.866667 [0.6,1] recall 0.8 [0.4,1] recall 0.733333 [0.4,0.9] recall 0.733333 [0.4,0.9] recall 0.866667 [0.6,1] recall 0.666667 [0.6,0.7] recall 0.733333 [0.4,0.9] recall 0.866667 [0.8,0.9] recall 0.733333 [0.4,0.9] recall 0.733333 [0.2,1] recall 0.6 [0,0.9] recall 0.733333 [0.2,1] recall 0.866667 [0.6,1] recall 0.866667 [0.6,1] recall 0.666667 [0.4,0.8] recall 0.8 [0.4,1] recall 0.933333 [0.8,1] recall 0.6 [0,0.9] recall 0.866667 [0.6,1] recall 0.8 [0.4,1] recall 0.933333 [0.8,1] recall 0.666667 [0.2,0.9] recall 0.8 [0.666667,0.888889] recall 0.8 [0.666667,0.888889] recall 0.8 [0.666667,0.888889] recall 0.733333 [0.5,0.888889] recall 0.866667 [0.666667,1] recall 0.8 [0.6,0.9] recall 0.8 [0.5,1] recall 0.733333 [0.4,0.9] recall 0.8 [0.833333,0.777778] recall 0.8 [0.6,0.9] relative_absolute_error 0.922867 relative_absolute_error 0.788603 relative_absolute_error 0.880579 relative_absolute_error 0.775426 relative_absolute_error 0.87957 relative_absolute_error 0.849218 relative_absolute_error 0.872172 relative_absolute_error 0.753098 relative_absolute_error 0.839661 relative_absolute_error 0.89968 relative_absolute_error 0.82696 relative_absolute_error 0.89335 relative_absolute_error 0.85986 relative_absolute_error 0.792142 relative_absolute_error 1.011708 relative_absolute_error 0.872909 relative_absolute_error 0.72926 relative_absolute_error 0.800769 relative_absolute_error 0.889203 relative_absolute_error 0.85019 relative_absolute_error 0.835581 relative_absolute_error 0.952439 relative_absolute_error 0.831992 relative_absolute_error 0.695218 relative_absolute_error 0.780287 relative_absolute_error 0.792389 relative_absolute_error 0.851206 relative_absolute_error 0.887375 relative_absolute_error 0.857583 relative_absolute_error 0.689207 relative_absolute_error 0.82506 relative_absolute_error 0.743412 relative_absolute_error 0.692247 relative_absolute_error 0.896654 relative_absolute_error 0.790151 relative_absolute_error 0.912729 relative_absolute_error 0.935259 relative_absolute_error 0.83845 relative_absolute_error 0.900253 relative_absolute_error 0.617143 relative_absolute_error 0.784129 relative_absolute_error 0.86001 relative_absolute_error 0.885072 relative_absolute_error 0.830011 relative_absolute_error 0.861038 relative_absolute_error 0.735799 relative_absolute_error 0.904578 relative_absolute_error 0.655468 relative_absolute_error 0.789976 relative_absolute_error 0.851393 relative_absolute_error 0.808706 relative_absolute_error 0.876885 relative_absolute_error 0.826842 relative_absolute_error 0.786216 relative_absolute_error 0.763552 relative_absolute_error 0.768743 relative_absolute_error 0.800797 relative_absolute_error 0.665978 relative_absolute_error 0.807648 relative_absolute_error 0.861254 relative_absolute_error 0.70227 relative_absolute_error 0.904201 relative_absolute_error 0.702356 relative_absolute_error 0.872387 relative_absolute_error 0.691967 relative_absolute_error 0.71692 relative_absolute_error 0.782558 relative_absolute_error 0.873166 relative_absolute_error 0.664537 relative_absolute_error 0.723531 relative_absolute_error 0.745025 relative_absolute_error 0.762925 relative_absolute_error 0.7606 relative_absolute_error 1.022806 relative_absolute_error 0.857675 relative_absolute_error 0.743882 relative_absolute_error 0.845528 relative_absolute_error 0.882971 relative_absolute_error 0.876333 relative_absolute_error 0.818106 relative_absolute_error 0.699139 relative_absolute_error 0.705948 relative_absolute_error 0.859529 relative_absolute_error 0.71035 relative_absolute_error 0.675376 relative_absolute_error 0.87638 relative_absolute_error 0.718574 relative_absolute_error 0.831444 relative_absolute_error 0.670591 relative_absolute_error 0.873071 relative_absolute_error 0.777011 relative_absolute_error 0.805008 relative_absolute_error 0.735017 relative_absolute_error 0.837829 relative_absolute_error 0.764058 relative_absolute_error 0.759857 relative_absolute_error 0.713017 relative_absolute_error 0.785745 relative_absolute_error 0.786916 relative_absolute_error 0.746806 root_mean_prior_squared_error 0.484967 root_mean_prior_squared_error 0.484967 root_mean_prior_squared_error 0.484967 root_mean_prior_squared_error 0.484967 root_mean_prior_squared_error 0.484967 root_mean_prior_squared_error 0.484967 root_mean_prior_squared_error 0.484967 root_mean_prior_squared_error 0.484967 root_mean_prior_squared_error 0.484967 root_mean_prior_squared_error 0.484967 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.492821 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.492821 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.492821 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.492821 root_mean_prior_squared_error 0.492821 root_mean_prior_squared_error 0.492821 root_mean_prior_squared_error 0.492821 root_mean_prior_squared_error 0.492821 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.492821 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.492821 root_mean_prior_squared_error 0.471586 root_mean_squared_error 0.499159 root_mean_squared_error 0.429805 root_mean_squared_error 0.48426 root_mean_squared_error 0.422032 root_mean_squared_error 0.47093 root_mean_squared_error 0.461155 root_mean_squared_error 0.472962 root_mean_squared_error 0.427954 root_mean_squared_error 0.456314 root_mean_squared_error 0.468195 root_mean_squared_error 0.442578 root_mean_squared_error 0.454497 root_mean_squared_error 0.461484 root_mean_squared_error 0.434906 root_mean_squared_error 0.512941 root_mean_squared_error 0.459875 root_mean_squared_error 0.384202 root_mean_squared_error 0.415964 root_mean_squared_error 0.456407 root_mean_squared_error 0.454713 root_mean_squared_error 0.440945 root_mean_squared_error 0.490646 root_mean_squared_error 0.443004 root_mean_squared_error 0.349066 root_mean_squared_error 0.398345 root_mean_squared_error 0.434941 root_mean_squared_error 0.478073 root_mean_squared_error 0.481207 root_mean_squared_error 0.438742 root_mean_squared_error 0.343871 root_mean_squared_error 0.426678 root_mean_squared_error 0.400652 root_mean_squared_error 0.348951 root_mean_squared_error 0.460416 root_mean_squared_error 0.438416 root_mean_squared_error 0.498875 root_mean_squared_error 0.497555 root_mean_squared_error 0.447934 root_mean_squared_error 0.468088 root_mean_squared_error 0.328891 root_mean_squared_error 0.398331 root_mean_squared_error 0.462523 root_mean_squared_error 0.469068 root_mean_squared_error 0.431508 root_mean_squared_error 0.46423 root_mean_squared_error 0.388207 root_mean_squared_error 0.46268 root_mean_squared_error 0.357184 root_mean_squared_error 0.424709 root_mean_squared_error 0.473489 root_mean_squared_error 0.420751 root_mean_squared_error 0.461785 root_mean_squared_error 0.420759 root_mean_squared_error 0.430218 root_mean_squared_error 0.401517 root_mean_squared_error 0.417098 root_mean_squared_error 0.438622 root_mean_squared_error 0.337883 root_mean_squared_error 0.451545 root_mean_squared_error 0.457331 root_mean_squared_error 0.370402 root_mean_squared_error 0.45955 root_mean_squared_error 0.366104 root_mean_squared_error 0.436887 root_mean_squared_error 0.375609 root_mean_squared_error 0.352212 root_mean_squared_error 0.422152 root_mean_squared_error 0.438495 root_mean_squared_error 0.359238 root_mean_squared_error 0.395346 root_mean_squared_error 0.415579 root_mean_squared_error 0.399198 root_mean_squared_error 0.384099 root_mean_squared_error 0.540363 root_mean_squared_error 0.444735 root_mean_squared_error 0.361684 root_mean_squared_error 0.435637 root_mean_squared_error 0.46794 root_mean_squared_error 0.477792 root_mean_squared_error 0.433196 root_mean_squared_error 0.381334 root_mean_squared_error 0.355967 root_mean_squared_error 0.468838 root_mean_squared_error 0.368835 root_mean_squared_error 0.337278 root_mean_squared_error 0.481016 root_mean_squared_error 0.366169 root_mean_squared_error 0.425039 root_mean_squared_error 0.333284 root_mean_squared_error 0.467475 root_mean_squared_error 0.398451 root_mean_squared_error 0.435153 root_mean_squared_error 0.423134 root_mean_squared_error 0.466485 root_mean_squared_error 0.394047 root_mean_squared_error 0.413379 root_mean_squared_error 0.397871 root_mean_squared_error 0.413204 root_mean_squared_error 0.424675 root_mean_squared_error 0.401028 root_relative_squared_error 1.029265 root_relative_squared_error 0.886257 root_relative_squared_error 0.998542 root_relative_squared_error 0.870228 root_relative_squared_error 0.971057 root_relative_squared_error 0.9509 root_relative_squared_error 0.975247 root_relative_squared_error 0.88244 root_relative_squared_error 0.940919 root_relative_squared_error 0.965418 root_relative_squared_error 0.938489 root_relative_squared_error 0.963764 root_relative_squared_error 0.978578 root_relative_squared_error 0.92222 root_relative_squared_error 1.087694 root_relative_squared_error 0.933148 root_relative_squared_error 0.814703 root_relative_squared_error 0.844047 root_relative_squared_error 0.967812 root_relative_squared_error 0.922674 root_relative_squared_error 0.935027 root_relative_squared_error 1.040418 root_relative_squared_error 0.939393 root_relative_squared_error 0.740197 root_relative_squared_error 0.844693 root_relative_squared_error 0.922295 root_relative_squared_error 1.013755 root_relative_squared_error 1.020403 root_relative_squared_error 0.930354 root_relative_squared_error 0.729181 root_relative_squared_error 0.904773 root_relative_squared_error 0.849584 root_relative_squared_error 0.739952 root_relative_squared_error 0.976315 root_relative_squared_error 0.929663 root_relative_squared_error 1.057867 root_relative_squared_error 1.055067 root_relative_squared_error 0.949846 root_relative_squared_error 0.992582 root_relative_squared_error 0.697414 root_relative_squared_error 0.844663 root_relative_squared_error 0.980782 root_relative_squared_error 0.994661 root_relative_squared_error 0.915014 root_relative_squared_error 0.984403 root_relative_squared_error 0.823194 root_relative_squared_error 0.981115 root_relative_squared_error 0.75741 root_relative_squared_error 0.900598 root_relative_squared_error 1.004036 root_relative_squared_error 0.892206 root_relative_squared_error 0.979218 root_relative_squared_error 0.892222 root_relative_squared_error 0.912279 root_relative_squared_error 0.851418 root_relative_squared_error 0.884458 root_relative_squared_error 0.9301 root_relative_squared_error 0.716483 root_relative_squared_error 0.957504 root_relative_squared_error 0.969773 root_relative_squared_error 0.78544 root_relative_squared_error 0.974478 root_relative_squared_error 0.776326 root_relative_squared_error 0.926422 root_relative_squared_error 0.796481 root_relative_squared_error 0.746868 root_relative_squared_error 0.895176 root_relative_squared_error 0.929832 root_relative_squared_error 0.761766 root_relative_squared_error 0.838334 root_relative_squared_error 0.881237 root_relative_squared_error 0.846501 root_relative_squared_error 0.814484 root_relative_squared_error 1.145842 root_relative_squared_error 0.943062 root_relative_squared_error 0.766952 root_relative_squared_error 0.92377 root_relative_squared_error 0.992269 root_relative_squared_error 1.013161 root_relative_squared_error 0.918595 root_relative_squared_error 0.80862 root_relative_squared_error 0.754829 root_relative_squared_error 0.994172 root_relative_squared_error 0.782117 root_relative_squared_error 0.7152 root_relative_squared_error 1.019997 root_relative_squared_error 0.776462 root_relative_squared_error 0.901298 root_relative_squared_error 0.706731 root_relative_squared_error 0.991283 root_relative_squared_error 0.808511 root_relative_squared_error 0.882984 root_relative_squared_error 0.858596 root_relative_squared_error 0.946561 root_relative_squared_error 0.799575 root_relative_squared_error 0.876573 root_relative_squared_error 0.807334 root_relative_squared_error 0.876201 root_relative_squared_error 0.861723 root_relative_squared_error 0.850383 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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 150 usercpu_time_millis 130 usercpu_time_millis 130 usercpu_time_millis 130 usercpu_time_millis 130 usercpu_time_millis 130 usercpu_time_millis 130 usercpu_time_millis 160 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 130 usercpu_time_millis 130 usercpu_time_millis 130 usercpu_time_millis 130 usercpu_time_millis 120 usercpu_time_millis 140 usercpu_time_millis 130 usercpu_time_millis 130 usercpu_time_millis 140 usercpu_time_millis 130 usercpu_time_millis 140 usercpu_time_millis 130 usercpu_time_millis 120 usercpu_time_millis 130 usercpu_time_millis 130 usercpu_time_millis 130 usercpu_time_millis 130 usercpu_time_millis 130 usercpu_time_millis 130 usercpu_time_millis 120 usercpu_time_millis 130 usercpu_time_millis 140 usercpu_time_millis 120 usercpu_time_millis 130 usercpu_time_millis 130 usercpu_time_millis 140 usercpu_time_millis 130 usercpu_time_millis 130 usercpu_time_millis 140 usercpu_time_millis 130 usercpu_time_millis 130 usercpu_time_millis 120 usercpu_time_millis 130 usercpu_time_millis 130 usercpu_time_millis 130 usercpu_time_millis 120 usercpu_time_millis 130 usercpu_time_millis 130 usercpu_time_millis 130 usercpu_time_millis 140 usercpu_time_millis 130 usercpu_time_millis 130 usercpu_time_millis 130 usercpu_time_millis 130 usercpu_time_millis 130 usercpu_time_millis 120 usercpu_time_millis 130 usercpu_time_millis 140 usercpu_time_millis 130 usercpu_time_millis 130 usercpu_time_millis 130 usercpu_time_millis 140 usercpu_time_millis 130 usercpu_time_millis 210 usercpu_time_millis 130 usercpu_time_millis 120 usercpu_time_millis 130 usercpu_time_millis 130 usercpu_time_millis 130 usercpu_time_millis 120 usercpu_time_millis 130 usercpu_time_millis 130 usercpu_time_millis 130 usercpu_time_millis 210 usercpu_time_millis 130 usercpu_time_millis 120 usercpu_time_millis 130 usercpu_time_millis 120 usercpu_time_millis 140 usercpu_time_millis 140 usercpu_time_millis 130 usercpu_time_millis 120 usercpu_time_millis 130 usercpu_time_millis 130 usercpu_time_millis 130 usercpu_time_millis 130 usercpu_time_millis 160 usercpu_time_millis 130 usercpu_time_millis 130 usercpu_time_millis 130 usercpu_time_millis 120 usercpu_time_millis 140 usercpu_time_millis 130 usercpu_time_millis 140 usercpu_time_millis 140 usercpu_time_millis 130 usercpu_time_millis 200 usercpu_time_millis 130 usercpu_time_millis 140 usercpu_time_millis 130 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 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 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 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 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 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 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 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 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 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_training 140 usercpu_time_millis_training 120 usercpu_time_millis_training 130 usercpu_time_millis_training 120 usercpu_time_millis_training 120 usercpu_time_millis_training 130 usercpu_time_millis_training 120 usercpu_time_millis_training 150 usercpu_time_millis_training 120 usercpu_time_millis_training 120 usercpu_time_millis_training 130 usercpu_time_millis_training 130 usercpu_time_millis_training 130 usercpu_time_millis_training 130 usercpu_time_millis_training 120 usercpu_time_millis_training 130 usercpu_time_millis_training 130 usercpu_time_millis_training 120 usercpu_time_millis_training 140 usercpu_time_millis_training 120 usercpu_time_millis_training 130 usercpu_time_millis_training 120 usercpu_time_millis_training 120 usercpu_time_millis_training 130 usercpu_time_millis_training 120 usercpu_time_millis_training 130 usercpu_time_millis_training 130 usercpu_time_millis_training 120 usercpu_time_millis_training 130 usercpu_time_millis_training 120 usercpu_time_millis_training 120 usercpu_time_millis_training 130 usercpu_time_millis_training 110 usercpu_time_millis_training 130 usercpu_time_millis_training 130 usercpu_time_millis_training 130 usercpu_time_millis_training 130 usercpu_time_millis_training 120 usercpu_time_millis_training 130 usercpu_time_millis_training 120 usercpu_time_millis_training 130 usercpu_time_millis_training 120 usercpu_time_millis_training 130 usercpu_time_millis_training 130 usercpu_time_millis_training 130 usercpu_time_millis_training 120 usercpu_time_millis_training 120 usercpu_time_millis_training 130 usercpu_time_millis_training 120 usercpu_time_millis_training 130 usercpu_time_millis_training 120 usercpu_time_millis_training 130 usercpu_time_millis_training 130 usercpu_time_millis_training 130 usercpu_time_millis_training 120 usercpu_time_millis_training 120 usercpu_time_millis_training 120 usercpu_time_millis_training 140 usercpu_time_millis_training 120 usercpu_time_millis_training 130 usercpu_time_millis_training 130 usercpu_time_millis_training 130 usercpu_time_millis_training 120 usercpu_time_millis_training 200 usercpu_time_millis_training 120 usercpu_time_millis_training 120 usercpu_time_millis_training 130 usercpu_time_millis_training 130 usercpu_time_millis_training 130 usercpu_time_millis_training 120 usercpu_time_millis_training 130 usercpu_time_millis_training 120 usercpu_time_millis_training 130 usercpu_time_millis_training 200 usercpu_time_millis_training 130 usercpu_time_millis_training 120 usercpu_time_millis_training 130 usercpu_time_millis_training 120 usercpu_time_millis_training 130 usercpu_time_millis_training 130 usercpu_time_millis_training 130 usercpu_time_millis_training 120 usercpu_time_millis_training 130 usercpu_time_millis_training 120 usercpu_time_millis_training 120 usercpu_time_millis_training 120 usercpu_time_millis_training 160 usercpu_time_millis_training 120 usercpu_time_millis_training 130 usercpu_time_millis_training 120 usercpu_time_millis_training 120 usercpu_time_millis_training 130 usercpu_time_millis_training 120 usercpu_time_millis_training 130 usercpu_time_millis_training 130 usercpu_time_millis_training 120 usercpu_time_millis_training 190 usercpu_time_millis_training 130 usercpu_time_millis_training 130 usercpu_time_millis_training 120