471765 2 Joaquin Vanschoren 4350 Supervised Classification predictive_accuracy 1172 weka.LibSVM(2) 1924 weka.classifiers.functions.LibSVM -- -S 0 -K 2 -D 3 -G 0.0 -R 0.0 -N 0.5 -M 40.0 -C 1.0 -E 0.001 -P 0.1 -model /Users/joa/Downloads/weka-3-7-12 -seed 1 S 0 1172 K 2 1172 D 3 1172 G 0.0 1172 R 0.0 1172 C 1.0 1172 N 0.5 1172 P 0.1 1172 M 40.0 1172 E 0.001 1172 model /Users/joa/Downloads/weka-3-7-12 1172 seed 1 1172 weka weka_3.7.12 779 fri_c1_500_25 https://www.openml.org/data/download/53313/fri_c1_500_25.arff -1 1661225 description https://api.openml.org/data/download/1661225/weka_generated_run6853779202938719858.xml -1 1661228 model_readable https://api.openml.org/data/download/1661228/WekaModel_weka.classifiers.functions.LibSVM841967866942528641.model -1 1661227 model_serialized https://api.openml.org/data/download/1661227/WekaSerialized_weka.classifiers.functions.LibSVM7008727132408877075.model -1 1661226 predictions https://api.openml.org/data/download/1661226/weka_generated_predictions7175124373394943205.arff area_under_roc_curve 0.681007 [0.681007,0.681007] average_cost 0 f_measure 0.682426 [0.659666,0.702287] kappa 0.361954 kb_relative_information_score 1802.746147 mean_absolute_error 0.3176 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 0.682453 [0.658818,0.703078] predictive_accuracy 0.6824 prior_entropy 0.996688 recall 0.6824 [0.660515,0.701498] relative_absolute_error 0.638139 root_mean_prior_squared_error 0.498843 root_mean_squared_error 0.56356 root_relative_squared_error 1.129735 scimark_benchmark 944.106679 [554.6075200566928, 1014.9881711071126, 482.58056402979616, 911.1714049642114, 1757.1857345400422] total_cost 0 usercpu_time_millis 160 usercpu_time_millis_testing 80 usercpu_time_millis_training 80 area_under_roc_curve 0.600644 [0.600644,0.600644] area_under_roc_curve 0.776973 [0.776973,0.776973] area_under_roc_curve 0.706119 [0.706119,0.706119] area_under_roc_curve 0.6562 [0.6562,0.6562] area_under_roc_curve 0.663462 [0.663462,0.663462] area_under_roc_curve 0.696457 [0.696457,0.696457] area_under_roc_curve 0.699678 [0.699678,0.699678] area_under_roc_curve 0.658654 [0.658654,0.658654] area_under_roc_curve 0.619163 [0.619163,0.619163] area_under_roc_curve 0.736715 [0.736715,0.736715] area_under_roc_curve 0.672303 [0.672303,0.672303] area_under_roc_curve 0.752013 [0.752013,0.752013] area_under_roc_curve 0.736715 [0.736715,0.736715] area_under_roc_curve 0.776973 [0.776973,0.776973] area_under_roc_curve 0.557692 [0.557692,0.557692] area_under_roc_curve 0.647343 [0.647343,0.647343] area_under_roc_curve 0.597424 [0.597424,0.597424] area_under_roc_curve 0.719551 [0.719551,0.719551] area_under_roc_curve 0.706119 [0.706119,0.706119] area_under_roc_curve 0.65942 [0.65942,0.65942] area_under_roc_curve 0.739936 [0.739936,0.739936] area_under_roc_curve 0.739936 [0.739936,0.739936] area_under_roc_curve 0.696457 [0.696457,0.696457] area_under_roc_curve 0.6562 [0.6562,0.6562] area_under_roc_curve 0.533654 [0.533654,0.533654] area_under_roc_curve 0.714976 [0.714976,0.714976] area_under_roc_curve 0.702899 [0.702899,0.702899] area_under_roc_curve 0.68109 [0.68109,0.68109] area_under_roc_curve 0.755233 [0.755233,0.755233] area_under_roc_curve 0.733494 [0.733494,0.733494] area_under_roc_curve 0.634461 [0.634461,0.634461] area_under_roc_curve 0.637681 [0.637681,0.637681] area_under_roc_curve 0.702899 [0.702899,0.702899] area_under_roc_curve 0.637681 [0.637681,0.637681] area_under_roc_curve 0.68438 [0.68438,0.68438] area_under_roc_curve 0.696457 [0.696457,0.696457] area_under_roc_curve 0.681159 [0.681159,0.681159] area_under_roc_curve 0.693237 [0.693237,0.693237] area_under_roc_curve 0.768116 [0.768116,0.768116] area_under_roc_curve 0.699678 [0.699678,0.699678] area_under_roc_curve 0.783414 [0.783414,0.783414] area_under_roc_curve 0.573269 [0.573269,0.573269] area_under_roc_curve 0.668277 [0.668277,0.668277] area_under_roc_curve 0.739936 [0.739936,0.739936] area_under_roc_curve 0.677939 [0.677939,0.677939] area_under_roc_curve 0.63124 [0.63124,0.63124] area_under_roc_curve 0.727053 [0.727053,0.727053] area_under_roc_curve 0.649758 [0.649758,0.649758] area_under_roc_curve 0.619163 [0.619163,0.619163] area_under_roc_curve 0.572464 [0.572464,0.572464] area_under_roc_curve 0.674718 [0.674718,0.674718] area_under_roc_curve 0.652979 [0.652979,0.652979] area_under_roc_curve 0.739936 [0.739936,0.739936] area_under_roc_curve 0.736715 [0.736715,0.736715] area_under_roc_curve 0.714976 [0.714976,0.714976] area_under_roc_curve 0.776973 [0.776973,0.776973] area_under_roc_curve 0.690016 [0.690016,0.690016] area_under_roc_curve 0.622383 [0.622383,0.622383] area_under_roc_curve 0.798712 [0.798712,0.798712] area_under_roc_curve 0.773752 [0.773752,0.773752] area_under_roc_curve 0.795491 [0.795491,0.795491] area_under_roc_curve 0.644122 [0.644122,0.644122] area_under_roc_curve 0.681159 [0.681159,0.681159] area_under_roc_curve 0.749597 [0.749597,0.749597] area_under_roc_curve 0.761675 [0.761675,0.761675] area_under_roc_curve 0.65942 [0.65942,0.65942] area_under_roc_curve 0.609501 [0.609501,0.609501] area_under_roc_curve 0.63124 [0.63124,0.63124] area_under_roc_curve 0.739936 [0.739936,0.739936] area_under_roc_curve 0.736715 [0.736715,0.736715] area_under_roc_curve 0.679487 [0.679487,0.679487] area_under_roc_curve 0.61859 [0.61859,0.61859] area_under_roc_curve 0.626603 [0.626603,0.626603] area_under_roc_curve 0.695513 [0.695513,0.695513] area_under_roc_curve 0.696457 [0.696457,0.696457] area_under_roc_curve 0.61859 [0.61859,0.61859] area_under_roc_curve 0.741987 [0.741987,0.741987] area_under_roc_curve 0.687601 [0.687601,0.687601] area_under_roc_curve 0.636218 [0.636218,0.636218] area_under_roc_curve 0.498397 [0.498397,0.498397] area_under_roc_curve 0.613782 [0.613782,0.613782] area_under_roc_curve 0.741987 [0.741987,0.741987] area_under_roc_curve 0.653846 [0.653846,0.653846] area_under_roc_curve 0.655449 [0.655449,0.655449] area_under_roc_curve 0.711755 [0.711755,0.711755] area_under_roc_curve 0.639423 [0.639423,0.639423] area_under_roc_curve 0.665064 [0.665064,0.665064] area_under_roc_curve 0.686795 [0.686795,0.686795] area_under_roc_curve 0.535256 [0.535256,0.535256] area_under_roc_curve 0.644231 [0.644231,0.644231] area_under_roc_curve 0.679487 [0.679487,0.679487] area_under_roc_curve 0.697115 [0.697115,0.697115] area_under_roc_curve 0.68109 [0.68109,0.68109] area_under_roc_curve 0.682692 [0.682692,0.682692] area_under_roc_curve 0.681159 [0.681159,0.681159] area_under_roc_curve 0.661859 [0.661859,0.661859] area_under_roc_curve 0.721154 [0.721154,0.721154] area_under_roc_curve 0.696457 [0.696457,0.696457] area_under_roc_curve 0.641026 [0.641026,0.641026] area_under_roc_curve 0.642628 [0.642628,0.642628] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.600641 [0.583333,0.615385] f_measure 0.779556 [0.755556,0.8] f_measure 0.6994 [0.705882,0.693878] f_measure 0.659313 [0.622222,0.690909] f_measure 0.657953 [0.679245,0.638298] f_measure 0.699394 [0.666667,0.727273] f_measure 0.700361 [0.680851,0.716981] f_measure 0.659591 [0.638298,0.679245] f_measure 0.620458 [0.595745,0.641509] f_measure 0.739475 [0.711111,0.763636] f_measure 0.653818 [0.690909,0.622222] f_measure 0.756847 [0.714286,0.793103] f_measure 0.739475 [0.711111,0.763636] f_measure 0.779556 [0.755556,0.8] f_measure 0.558583 [0.521739,0.592593] f_measure 0.638269 [0.653846,0.625] f_measure 0.6 [0.565217,0.62963] f_measure 0.72 [0.708333,0.730769] f_measure 0.6994 [0.705882,0.693878] f_measure 0.660409 [0.638298,0.679245] f_measure 0.740313 [0.723404,0.754717] f_measure 0.740313 [0.723404,0.754717] f_measure 0.699394 [0.666667,0.727273] f_measure 0.659313 [0.622222,0.690909] f_measure 0.52802 [0.439024,0.610169] f_measure 0.718636 [0.681818,0.75] f_measure 0.70036 [0.693878,0.705882] f_measure 0.68 [0.68,0.68] f_measure 0.758831 [0.727273,0.785714] f_measure 0.737772 [0.697674,0.77193] f_measure 0.638247 [0.590909,0.678571] f_measure 0.64 [0.608696,0.666667] f_measure 0.70036 [0.693878,0.705882] f_measure 0.64 [0.608696,0.666667] f_measure 0.68 [0.68,0.68] f_measure 0.699394 [0.666667,0.727273] f_measure 0.680513 [0.666667,0.692308] f_measure 0.69743 [0.651163,0.736842] f_measure 0.758846 [0.769231,0.75] f_measure 0.700361 [0.680851,0.716981] f_measure 0.780264 [0.77551,0.784314] f_measure 0.549286 [0.607143,0.5] f_measure 0.672 [0.6,0.733333] f_measure 0.740313 [0.723404,0.754717] f_measure 0.68 [0.652174,0.703704] f_measure 0.635271 [0.571429,0.689655] f_measure 0.731585 [0.666667,0.786885] f_measure 0.653675 [0.585366,0.711864] f_measure 0.620458 [0.595745,0.641509] f_measure 0.576401 [0.511628,0.631579] f_measure 0.678442 [0.636364,0.714286] f_measure 0.657087 [0.604651,0.701754] f_measure 0.740313 [0.723404,0.754717] f_measure 0.739475 [0.711111,0.763636] f_measure 0.718636 [0.681818,0.75] f_measure 0.779556 [0.755556,0.8] f_measure 0.694419 [0.634146,0.745763] f_measure 0.620456 [0.612245,0.627451] f_measure 0.8 [0.782609,0.814815] f_measure 0.778115 [0.744186,0.807018] f_measure 0.799026 [0.772727,0.821429] f_measure 0.64 [0.64,0.64] f_measure 0.680513 [0.666667,0.692308] f_measure 0.737808 [0.754717,0.723404] f_measure 0.760385 [0.75,0.769231] f_measure 0.660409 [0.638298,0.679245] f_measure 0.612931 [0.536585,0.677966] f_measure 0.635271 [0.571429,0.689655] f_measure 0.740313 [0.723404,0.754717] f_measure 0.739475 [0.711111,0.763636] f_measure 0.68 [0.666667,0.692308] f_measure 0.619542 [0.595745,0.641509] f_measure 0.610233 [0.666667,0.55814] f_measure 0.695716 [0.651163,0.736842] f_measure 0.699394 [0.666667,0.727273] f_measure 0.619542 [0.595745,0.641509] f_measure 0.739688 [0.745098,0.734694] f_measure 0.678462 [0.692308,0.666667] f_measure 0.636494 [0.590909,0.678571] f_measure 0.499398 [0.468085,0.528302] f_measure 0.610103 [0.536585,0.677966] f_measure 0.739688 [0.745098,0.734694] f_measure 0.651145 [0.585366,0.711864] f_measure 0.655145 [0.604651,0.701754] f_measure 0.716322 [0.666667,0.758621] f_measure 0.64 [0.625,0.653846] f_measure 0.655192 [0.690909,0.622222] f_measure 0.69029 [0.615385,0.754098] f_measure 0.533431 [0.465116,0.596491] f_measure 0.636522 [0.666667,0.608696] f_measure 0.68 [0.666667,0.692308] f_measure 0.698182 [0.666667,0.727273] f_measure 0.68 [0.68,0.68] f_measure 0.678974 [0.692308,0.666667] f_measure 0.680513 [0.666667,0.692308] f_measure 0.659592 [0.666667,0.653061] f_measure 0.72 [0.72,0.72] f_measure 0.699394 [0.666667,0.727273] f_measure 0.64 [0.64,0.64] f_measure 0.638846 [0.653846,0.625] kappa 0.2 kappa 0.555735 kappa 0.405705 kappa 0.313409 kappa 0.324324 kappa 0.394184 kappa 0.398074 kappa 0.317817 kappa 0.23756 kappa 0.47496 kappa 0.334898 kappa 0.510604 kappa 0.47496 kappa 0.555735 kappa 0.115756 kappa 0.2891 kappa 0.194847 kappa 0.439103 kappa 0.405705 kappa 0.317817 kappa 0.478331 kappa 0.478331 kappa 0.394184 kappa 0.313409 kappa 0.068071 kappa 0.432739 kappa 0.401914 kappa 0.361022 kappa 0.513776 kappa 0.471545 kappa 0.270665 kappa 0.275362 kappa 0.401914 kappa 0.275362 kappa 0.36407 kappa 0.394184 kappa 0.36 kappa 0.390244 kappa 0.526066 kappa 0.398074 kappa 0.561404 kappa 0.141966 kappa 0.343186 kappa 0.478331 kappa 0.355878 kappa 0.265905 kappa 0.46458 kappa 0.304419 kappa 0.23756 kappa 0.146341 kappa 0.351702 kappa 0.308943 kappa 0.478331 kappa 0.47496 kappa 0.432739 kappa 0.555735 kappa 0.386252 kappa 0.242424 kappa 0.597424 kappa 0.552846 kappa 0.594814 kappa 0.284579 kappa 0.36 kappa 0.488189 kappa 0.52 kappa 0.317817 kappa 0.222586 kappa 0.265905 kappa 0.478331 kappa 0.47496 kappa 0.358974 kappa 0.23756 kappa 0.249605 kappa 0.394184 kappa 0.394184 kappa 0.23756 kappa 0.481659 kappa 0.368088 kappa 0.274194 kappa -0.00321 kappa 0.230146 kappa 0.481659 kappa 0.311183 kappa 0.313409 kappa 0.429038 kappa 0.278846 kappa 0.326466 kappa 0.382208 kappa 0.071082 kappa 0.285714 kappa 0.358974 kappa 0.396135 kappa 0.361022 kappa 0.363057 kappa 0.36 kappa 0.322169 kappa 0.440895 kappa 0.394184 kappa 0.28115 kappa 0.283439 kb_relative_information_score 9.673752 kb_relative_information_score 27.793454 kb_relative_information_score 19.740253 kb_relative_information_score 15.713653 kb_relative_information_score 15.910027 kb_relative_information_score 19.740253 kb_relative_information_score 19.740253 kb_relative_information_score 15.910027 kb_relative_information_score 11.687052 kb_relative_information_score 23.766854 kb_relative_information_score 15.713653 kb_relative_information_score 25.780154 kb_relative_information_score 23.766854 kb_relative_information_score 27.793454 kb_relative_information_score 5.843526 kb_relative_information_score 13.700352 kb_relative_information_score 9.673752 kb_relative_information_score 21.949928 kb_relative_information_score 19.740253 kb_relative_information_score 15.713653 kb_relative_information_score 23.766854 kb_relative_information_score 23.766854 kb_relative_information_score 19.740253 kb_relative_information_score 15.713653 kb_relative_information_score 3.830226 kb_relative_information_score 21.753554 kb_relative_information_score 19.740253 kb_relative_information_score 17.923328 kb_relative_information_score 25.780154 kb_relative_information_score 23.766854 kb_relative_information_score 13.700352 kb_relative_information_score 13.700352 kb_relative_information_score 19.740253 kb_relative_information_score 13.700352 kb_relative_information_score 17.726953 kb_relative_information_score 19.740253 kb_relative_information_score 17.726953 kb_relative_information_score 19.740253 kb_relative_information_score 25.780154 kb_relative_information_score 19.740253 kb_relative_information_score 27.793454 kb_relative_information_score 5.647151 kb_relative_information_score 17.726953 kb_relative_information_score 23.766854 kb_relative_information_score 17.726953 kb_relative_information_score 13.700352 kb_relative_information_score 23.766854 kb_relative_information_score 15.713653 kb_relative_information_score 11.687052 kb_relative_information_score 7.660452 kb_relative_information_score 17.726953 kb_relative_information_score 15.713653 kb_relative_information_score 23.766854 kb_relative_information_score 23.766854 kb_relative_information_score 21.753554 kb_relative_information_score 27.793454 kb_relative_information_score 19.740253 kb_relative_information_score 11.687052 kb_relative_information_score 29.806755 kb_relative_information_score 27.793454 kb_relative_information_score 29.806755 kb_relative_information_score 13.700352 kb_relative_information_score 17.726953 kb_relative_information_score 23.766854 kb_relative_information_score 25.780154 kb_relative_information_score 15.713653 kb_relative_information_score 11.687052 kb_relative_information_score 13.700352 kb_relative_information_score 23.766854 kb_relative_information_score 23.766854 kb_relative_information_score 17.923328 kb_relative_information_score 11.883427 kb_relative_information_score 11.883427 kb_relative_information_score 19.936628 kb_relative_information_score 19.740253 kb_relative_information_score 11.883427 kb_relative_information_score 23.963229 kb_relative_information_score 17.726953 kb_relative_information_score 13.896727 kb_relative_information_score -0.196375 kb_relative_information_score 11.883427 kb_relative_information_score 23.963229 kb_relative_information_score 15.910027 kb_relative_information_score 15.910027 kb_relative_information_score 21.753554 kb_relative_information_score 13.896727 kb_relative_information_score 15.910027 kb_relative_information_score 19.740253 kb_relative_information_score 3.830226 kb_relative_information_score 13.896727 kb_relative_information_score 17.923328 kb_relative_information_score 19.936628 kb_relative_information_score 17.923328 kb_relative_information_score 17.923328 kb_relative_information_score 17.726953 kb_relative_information_score 15.910027 kb_relative_information_score 21.949928 kb_relative_information_score 19.740253 kb_relative_information_score 13.896727 kb_relative_information_score 13.896727 mean_absolute_error 0.4 mean_absolute_error 0.22 mean_absolute_error 0.3 mean_absolute_error 0.34 mean_absolute_error 0.34 mean_absolute_error 0.3 mean_absolute_error 0.3 mean_absolute_error 0.34 mean_absolute_error 0.38 mean_absolute_error 0.26 mean_absolute_error 0.34 mean_absolute_error 0.24 mean_absolute_error 0.26 mean_absolute_error 0.22 mean_absolute_error 0.44 mean_absolute_error 0.36 mean_absolute_error 0.4 mean_absolute_error 0.28 mean_absolute_error 0.3 mean_absolute_error 0.34 mean_absolute_error 0.26 mean_absolute_error 0.26 mean_absolute_error 0.3 mean_absolute_error 0.34 mean_absolute_error 0.46 mean_absolute_error 0.28 mean_absolute_error 0.3 mean_absolute_error 0.32 mean_absolute_error 0.24 mean_absolute_error 0.26 mean_absolute_error 0.36 mean_absolute_error 0.36 mean_absolute_error 0.3 mean_absolute_error 0.36 mean_absolute_error 0.32 mean_absolute_error 0.3 mean_absolute_error 0.32 mean_absolute_error 0.3 mean_absolute_error 0.24 mean_absolute_error 0.3 mean_absolute_error 0.22 mean_absolute_error 0.44 mean_absolute_error 0.32 mean_absolute_error 0.26 mean_absolute_error 0.32 mean_absolute_error 0.36 mean_absolute_error 0.26 mean_absolute_error 0.34 mean_absolute_error 0.38 mean_absolute_error 0.42 mean_absolute_error 0.32 mean_absolute_error 0.34 mean_absolute_error 0.26 mean_absolute_error 0.26 mean_absolute_error 0.28 mean_absolute_error 0.22 mean_absolute_error 0.3 mean_absolute_error 0.38 mean_absolute_error 0.2 mean_absolute_error 0.22 mean_absolute_error 0.2 mean_absolute_error 0.36 mean_absolute_error 0.32 mean_absolute_error 0.26 mean_absolute_error 0.24 mean_absolute_error 0.34 mean_absolute_error 0.38 mean_absolute_error 0.36 mean_absolute_error 0.26 mean_absolute_error 0.26 mean_absolute_error 0.32 mean_absolute_error 0.38 mean_absolute_error 0.38 mean_absolute_error 0.3 mean_absolute_error 0.3 mean_absolute_error 0.38 mean_absolute_error 0.26 mean_absolute_error 0.32 mean_absolute_error 0.36 mean_absolute_error 0.5 mean_absolute_error 0.38 mean_absolute_error 0.26 mean_absolute_error 0.34 mean_absolute_error 0.34 mean_absolute_error 0.28 mean_absolute_error 0.36 mean_absolute_error 0.34 mean_absolute_error 0.3 mean_absolute_error 0.46 mean_absolute_error 0.36 mean_absolute_error 0.32 mean_absolute_error 0.3 mean_absolute_error 0.32 mean_absolute_error 0.32 mean_absolute_error 0.32 mean_absolute_error 0.34 mean_absolute_error 0.28 mean_absolute_error 0.3 mean_absolute_error 0.36 mean_absolute_error 0.36 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 0.6032 [0.56,0.64] precision 0.77974 [0.772727,0.785714] precision 0.712987 [0.642857,0.772727] precision 0.659156 [0.636364,0.678571] precision 0.66936 [0.62069,0.714286] precision 0.699351 [0.681818,0.714286] precision 0.701282 [0.666667,0.730769] precision 0.65971 [0.652174,0.666667] precision 0.62141 [0.583333,0.653846] precision 0.739545 [0.727273,0.75] precision 0.693125 [0.59375,0.777778] precision 0.763803 [0.789474,0.741935] precision 0.739545 [0.727273,0.75] precision 0.77974 [0.772727,0.785714] precision 0.558961 [0.545455,0.571429] precision 0.655369 [0.586207,0.714286] precision 0.6 [0.565217,0.62963] precision 0.72 [0.708333,0.730769] precision 0.712987 [0.642857,0.772727] precision 0.661346 [0.625,0.692308] precision 0.741218 [0.708333,0.769231] precision 0.741218 [0.708333,0.769231] precision 0.699351 [0.681818,0.714286] precision 0.659156 [0.636364,0.678571] precision 0.537754 [0.529412,0.545455] precision 0.719606 [0.714286,0.724138] precision 0.705769 [0.653846,0.75] precision 0.682179 [0.653846,0.708333] precision 0.760131 [0.761905,0.758621] precision 0.741 [0.75,0.733333] precision 0.638555 [0.619048,0.655172] precision 0.64 [0.608696,0.666667] precision 0.705769 [0.653846,0.75] precision 0.64 [0.608696,0.666667] precision 0.68876 [0.62963,0.73913] precision 0.699351 [0.681818,0.714286] precision 0.6832 [0.64,0.72] precision 0.7 [0.7,0.7] precision 0.780099 [0.689655,0.857143] precision 0.701282 [0.666667,0.730769] precision 0.786154 [0.730769,0.833333] precision 0.586381 [0.515152,0.647059] precision 0.684706 [0.705882,0.666667] precision 0.741218 [0.708333,0.769231] precision 0.68 [0.652174,0.703704] precision 0.638913 [0.631579,0.645161] precision 0.754926 [0.8125,0.705882] precision 0.661042 [0.666667,0.65625] precision 0.62141 [0.583333,0.653846] precision 0.577 [0.55,0.6] precision 0.67908 [0.666667,0.689655] precision 0.659 [0.65,0.666667] precision 0.741218 [0.708333,0.769231] precision 0.739545 [0.727273,0.75] precision 0.719606 [0.714286,0.724138] precision 0.77974 [0.772727,0.785714] precision 0.703472 [0.722222,0.6875] precision 0.625385 [0.576923,0.666667] precision 0.8 [0.782609,0.814815] precision 0.782 [0.8,0.766667] precision 0.800657 [0.809524,0.793103] precision 0.648245 [0.592593,0.695652] precision 0.6832 [0.64,0.72] precision 0.765667 [0.666667,0.85] precision 0.7632 [0.72,0.8] precision 0.661346 [0.625,0.692308] precision 0.618611 [0.611111,0.625] precision 0.638913 [0.631579,0.645161] precision 0.741218 [0.708333,0.769231] precision 0.739545 [0.727273,0.75] precision 0.68 [0.666667,0.692308] precision 0.619581 [0.608696,0.62963] precision 0.643422 [0.575758,0.705882] precision 0.705942 [0.736842,0.677419] precision 0.699351 [0.681818,0.714286] precision 0.619581 [0.608696,0.62963] precision 0.744734 [0.703704,0.782609] precision 0.696946 [0.62069,0.761905] precision 0.641333 [0.65,0.633333] precision 0.499195 [0.478261,0.518519] precision 0.62574 [0.647059,0.606061] precision 0.744734 [0.703704,0.782609] precision 0.669733 [0.705882,0.636364] precision 0.663905 [0.684211,0.645161] precision 0.722173 [0.736842,0.709677] precision 0.64 [0.625,0.653846] precision 0.677351 [0.612903,0.736842] precision 0.710294 [0.75,0.676471] precision 0.537793 [0.526316,0.548387] precision 0.652 [0.6,0.7] precision 0.68 [0.666667,0.692308] precision 0.701478 [0.714286,0.689655] precision 0.682179 [0.653846,0.708333] precision 0.686753 [0.642857,0.727273] precision 0.6832 [0.64,0.72] precision 0.663961 [0.62963,0.695652] precision 0.722308 [0.692308,0.75] precision 0.699351 [0.681818,0.714286] precision 0.642051 [0.615385,0.666667] precision 0.645974 [0.607143,0.681818] predictive_accuracy 0.6 predictive_accuracy 0.78 predictive_accuracy 0.7 predictive_accuracy 0.66 predictive_accuracy 0.66 predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 0.66 predictive_accuracy 0.62 predictive_accuracy 0.74 predictive_accuracy 0.66 predictive_accuracy 0.76 predictive_accuracy 0.74 predictive_accuracy 0.78 predictive_accuracy 0.56 predictive_accuracy 0.64 predictive_accuracy 0.6 predictive_accuracy 0.72 predictive_accuracy 0.7 predictive_accuracy 0.66 predictive_accuracy 0.74 predictive_accuracy 0.74 predictive_accuracy 0.7 predictive_accuracy 0.66 predictive_accuracy 0.54 predictive_accuracy 0.72 predictive_accuracy 0.7 predictive_accuracy 0.68 predictive_accuracy 0.76 predictive_accuracy 0.74 predictive_accuracy 0.64 predictive_accuracy 0.64 predictive_accuracy 0.7 predictive_accuracy 0.64 predictive_accuracy 0.68 predictive_accuracy 0.7 predictive_accuracy 0.68 predictive_accuracy 0.7 predictive_accuracy 0.76 predictive_accuracy 0.7 predictive_accuracy 0.78 predictive_accuracy 0.56 predictive_accuracy 0.68 predictive_accuracy 0.74 predictive_accuracy 0.68 predictive_accuracy 0.64 predictive_accuracy 0.74 predictive_accuracy 0.66 predictive_accuracy 0.62 predictive_accuracy 0.58 predictive_accuracy 0.68 predictive_accuracy 0.66 predictive_accuracy 0.74 predictive_accuracy 0.74 predictive_accuracy 0.72 predictive_accuracy 0.78 predictive_accuracy 0.7 predictive_accuracy 0.62 predictive_accuracy 0.8 predictive_accuracy 0.78 predictive_accuracy 0.8 predictive_accuracy 0.64 predictive_accuracy 0.68 predictive_accuracy 0.74 predictive_accuracy 0.76 predictive_accuracy 0.66 predictive_accuracy 0.62 predictive_accuracy 0.64 predictive_accuracy 0.74 predictive_accuracy 0.74 predictive_accuracy 0.68 predictive_accuracy 0.62 predictive_accuracy 0.62 predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 0.62 predictive_accuracy 0.74 predictive_accuracy 0.68 predictive_accuracy 0.64 predictive_accuracy 0.5 predictive_accuracy 0.62 predictive_accuracy 0.74 predictive_accuracy 0.66 predictive_accuracy 0.66 predictive_accuracy 0.72 predictive_accuracy 0.64 predictive_accuracy 0.66 predictive_accuracy 0.7 predictive_accuracy 0.54 predictive_accuracy 0.64 predictive_accuracy 0.68 predictive_accuracy 0.7 predictive_accuracy 0.68 predictive_accuracy 0.68 predictive_accuracy 0.68 predictive_accuracy 0.66 predictive_accuracy 0.72 predictive_accuracy 0.7 predictive_accuracy 0.64 predictive_accuracy 0.64 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 0.6 [0.608696,0.592593] recall 0.78 [0.73913,0.814815] recall 0.7 [0.782609,0.62963] recall 0.66 [0.608696,0.703704] recall 0.66 [0.75,0.576923] recall 0.7 [0.652174,0.740741] recall 0.7 [0.695652,0.703704] recall 0.66 [0.625,0.692308] recall 0.62 [0.608696,0.62963] recall 0.74 [0.695652,0.777778] recall 0.66 [0.826087,0.518519] recall 0.76 [0.652174,0.851852] recall 0.74 [0.695652,0.777778] recall 0.78 [0.73913,0.814815] recall 0.56 [0.5,0.615385] recall 0.64 [0.73913,0.555556] recall 0.6 [0.565217,0.62963] recall 0.72 [0.708333,0.730769] recall 0.7 [0.782609,0.62963] recall 0.66 [0.652174,0.666667] recall 0.74 [0.73913,0.740741] recall 0.74 [0.73913,0.740741] recall 0.7 [0.652174,0.740741] recall 0.66 [0.608696,0.703704] recall 0.54 [0.375,0.692308] recall 0.72 [0.652174,0.777778] recall 0.7 [0.73913,0.666667] recall 0.68 [0.708333,0.653846] recall 0.76 [0.695652,0.814815] recall 0.74 [0.652174,0.814815] recall 0.64 [0.565217,0.703704] recall 0.64 [0.608696,0.666667] recall 0.7 [0.73913,0.666667] recall 0.64 [0.608696,0.666667] recall 0.68 [0.73913,0.62963] recall 0.7 [0.652174,0.740741] recall 0.68 [0.695652,0.666667] recall 0.7 [0.608696,0.777778] recall 0.76 [0.869565,0.666667] recall 0.7 [0.695652,0.703704] recall 0.78 [0.826087,0.740741] recall 0.56 [0.73913,0.407407] recall 0.68 [0.521739,0.814815] recall 0.74 [0.73913,0.740741] recall 0.68 [0.652174,0.703704] recall 0.64 [0.521739,0.740741] recall 0.74 [0.565217,0.888889] recall 0.66 [0.521739,0.777778] recall 0.62 [0.608696,0.62963] recall 0.58 [0.478261,0.666667] recall 0.68 [0.608696,0.740741] recall 0.66 [0.565217,0.740741] recall 0.74 [0.73913,0.740741] recall 0.74 [0.695652,0.777778] recall 0.72 [0.652174,0.777778] recall 0.78 [0.73913,0.814815] recall 0.7 [0.565217,0.814815] recall 0.62 [0.652174,0.592593] recall 0.8 [0.782609,0.814815] recall 0.78 [0.695652,0.851852] recall 0.8 [0.73913,0.851852] recall 0.64 [0.695652,0.592593] recall 0.68 [0.695652,0.666667] recall 0.74 [0.869565,0.62963] recall 0.76 [0.782609,0.740741] recall 0.66 [0.652174,0.666667] recall 0.62 [0.478261,0.740741] recall 0.64 [0.521739,0.740741] recall 0.74 [0.73913,0.740741] recall 0.74 [0.695652,0.777778] recall 0.68 [0.666667,0.692308] recall 0.62 [0.583333,0.653846] recall 0.62 [0.791667,0.461538] recall 0.7 [0.583333,0.807692] recall 0.7 [0.652174,0.740741] recall 0.62 [0.583333,0.653846] recall 0.74 [0.791667,0.692308] recall 0.68 [0.782609,0.592593] recall 0.64 [0.541667,0.730769] recall 0.5 [0.458333,0.538462] recall 0.62 [0.458333,0.769231] recall 0.74 [0.791667,0.692308] recall 0.66 [0.5,0.807692] recall 0.66 [0.541667,0.769231] recall 0.72 [0.608696,0.814815] recall 0.64 [0.625,0.653846] recall 0.66 [0.791667,0.538462] recall 0.7 [0.521739,0.851852] recall 0.54 [0.416667,0.653846] recall 0.64 [0.75,0.538462] recall 0.68 [0.666667,0.692308] recall 0.7 [0.625,0.769231] recall 0.68 [0.708333,0.653846] recall 0.68 [0.75,0.615385] recall 0.68 [0.695652,0.666667] recall 0.66 [0.708333,0.615385] recall 0.72 [0.75,0.692308] recall 0.7 [0.652174,0.740741] recall 0.64 [0.666667,0.615385] recall 0.64 [0.708333,0.576923] relative_absolute_error 0.804358 relative_absolute_error 0.442397 relative_absolute_error 0.603269 relative_absolute_error 0.683705 relative_absolute_error 0.681847 relative_absolute_error 0.603269 relative_absolute_error 0.603269 relative_absolute_error 0.681847 relative_absolute_error 0.76414 relative_absolute_error 0.522833 relative_absolute_error 0.683705 relative_absolute_error 0.482615 relative_absolute_error 0.522833 relative_absolute_error 0.442397 relative_absolute_error 0.882391 relative_absolute_error 0.723922 relative_absolute_error 0.804358 relative_absolute_error 0.561521 relative_absolute_error 0.603269 relative_absolute_error 0.683705 relative_absolute_error 0.522833 relative_absolute_error 0.522833 relative_absolute_error 0.603269 relative_absolute_error 0.683705 relative_absolute_error 0.922499 relative_absolute_error 0.563051 relative_absolute_error 0.603269 relative_absolute_error 0.641739 relative_absolute_error 0.482615 relative_absolute_error 0.522833 relative_absolute_error 0.723922 relative_absolute_error 0.723922 relative_absolute_error 0.603269 relative_absolute_error 0.723922 relative_absolute_error 0.643487 relative_absolute_error 0.603269 relative_absolute_error 0.643487 relative_absolute_error 0.603269 relative_absolute_error 0.482615 relative_absolute_error 0.603269 relative_absolute_error 0.442397 relative_absolute_error 0.884794 relative_absolute_error 0.643487 relative_absolute_error 0.522833 relative_absolute_error 0.643487 relative_absolute_error 0.723922 relative_absolute_error 0.522833 relative_absolute_error 0.683705 relative_absolute_error 0.76414 relative_absolute_error 0.844576 relative_absolute_error 0.643487 relative_absolute_error 0.683705 relative_absolute_error 0.522833 relative_absolute_error 0.522833 relative_absolute_error 0.563051 relative_absolute_error 0.442397 relative_absolute_error 0.603269 relative_absolute_error 0.76414 relative_absolute_error 0.402179 relative_absolute_error 0.442397 relative_absolute_error 0.402179 relative_absolute_error 0.723922 relative_absolute_error 0.643487 relative_absolute_error 0.522833 relative_absolute_error 0.482615 relative_absolute_error 0.683705 relative_absolute_error 0.76414 relative_absolute_error 0.723922 relative_absolute_error 0.522833 relative_absolute_error 0.522833 relative_absolute_error 0.641739 relative_absolute_error 0.762065 relative_absolute_error 0.762065 relative_absolute_error 0.60163 relative_absolute_error 0.603269 relative_absolute_error 0.762065 relative_absolute_error 0.521413 relative_absolute_error 0.643487 relative_absolute_error 0.721956 relative_absolute_error 1.002717 relative_absolute_error 0.762065 relative_absolute_error 0.521413 relative_absolute_error 0.681847 relative_absolute_error 0.681847 relative_absolute_error 0.563051 relative_absolute_error 0.721956 relative_absolute_error 0.681847 relative_absolute_error 0.603269 relative_absolute_error 0.922499 relative_absolute_error 0.721956 relative_absolute_error 0.641739 relative_absolute_error 0.60163 relative_absolute_error 0.641739 relative_absolute_error 0.641739 relative_absolute_error 0.643487 relative_absolute_error 0.681847 relative_absolute_error 0.561521 relative_absolute_error 0.603269 relative_absolute_error 0.721956 relative_absolute_error 0.721956 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 0.632456 root_mean_squared_error 0.469042 root_mean_squared_error 0.547723 root_mean_squared_error 0.583095 root_mean_squared_error 0.583095 root_mean_squared_error 0.547723 root_mean_squared_error 0.547723 root_mean_squared_error 0.583095 root_mean_squared_error 0.616441 root_mean_squared_error 0.509902 root_mean_squared_error 0.583095 root_mean_squared_error 0.489898 root_mean_squared_error 0.509902 root_mean_squared_error 0.469042 root_mean_squared_error 0.663325 root_mean_squared_error 0.6 root_mean_squared_error 0.632456 root_mean_squared_error 0.52915 root_mean_squared_error 0.547723 root_mean_squared_error 0.583095 root_mean_squared_error 0.509902 root_mean_squared_error 0.509902 root_mean_squared_error 0.547723 root_mean_squared_error 0.583095 root_mean_squared_error 0.678233 root_mean_squared_error 0.52915 root_mean_squared_error 0.547723 root_mean_squared_error 0.565685 root_mean_squared_error 0.489898 root_mean_squared_error 0.509902 root_mean_squared_error 0.6 root_mean_squared_error 0.6 root_mean_squared_error 0.547723 root_mean_squared_error 0.6 root_mean_squared_error 0.565685 root_mean_squared_error 0.547723 root_mean_squared_error 0.565685 root_mean_squared_error 0.547723 root_mean_squared_error 0.489898 root_mean_squared_error 0.547723 root_mean_squared_error 0.469042 root_mean_squared_error 0.663325 root_mean_squared_error 0.565685 root_mean_squared_error 0.509902 root_mean_squared_error 0.565685 root_mean_squared_error 0.6 root_mean_squared_error 0.509902 root_mean_squared_error 0.583095 root_mean_squared_error 0.616441 root_mean_squared_error 0.648074 root_mean_squared_error 0.565685 root_mean_squared_error 0.583095 root_mean_squared_error 0.509902 root_mean_squared_error 0.509902 root_mean_squared_error 0.52915 root_mean_squared_error 0.469042 root_mean_squared_error 0.547723 root_mean_squared_error 0.616441 root_mean_squared_error 0.447214 root_mean_squared_error 0.469042 root_mean_squared_error 0.447214 root_mean_squared_error 0.6 root_mean_squared_error 0.565685 root_mean_squared_error 0.509902 root_mean_squared_error 0.489898 root_mean_squared_error 0.583095 root_mean_squared_error 0.616441 root_mean_squared_error 0.6 root_mean_squared_error 0.509902 root_mean_squared_error 0.509902 root_mean_squared_error 0.565685 root_mean_squared_error 0.616441 root_mean_squared_error 0.616441 root_mean_squared_error 0.547723 root_mean_squared_error 0.547723 root_mean_squared_error 0.616441 root_mean_squared_error 0.509902 root_mean_squared_error 0.565685 root_mean_squared_error 0.6 root_mean_squared_error 0.707107 root_mean_squared_error 0.616441 root_mean_squared_error 0.509902 root_mean_squared_error 0.583095 root_mean_squared_error 0.583095 root_mean_squared_error 0.52915 root_mean_squared_error 0.6 root_mean_squared_error 0.583095 root_mean_squared_error 0.547723 root_mean_squared_error 0.678233 root_mean_squared_error 0.6 root_mean_squared_error 0.565685 root_mean_squared_error 0.547723 root_mean_squared_error 0.565685 root_mean_squared_error 0.565685 root_mean_squared_error 0.565685 root_mean_squared_error 0.583095 root_mean_squared_error 0.52915 root_mean_squared_error 0.547723 root_mean_squared_error 0.6 root_mean_squared_error 0.6 root_relative_squared_error 1.268882 root_relative_squared_error 0.941028 root_relative_squared_error 1.098884 root_relative_squared_error 1.169852 root_relative_squared_error 1.166675 root_relative_squared_error 1.098884 root_relative_squared_error 1.098884 root_relative_squared_error 1.166675 root_relative_squared_error 1.236753 root_relative_squared_error 1.023006 root_relative_squared_error 1.169852 root_relative_squared_error 0.982872 root_relative_squared_error 1.023006 root_relative_squared_error 0.941028 root_relative_squared_error 1.327202 root_relative_squared_error 1.203767 root_relative_squared_error 1.268882 root_relative_squared_error 1.058741 root_relative_squared_error 1.098884 root_relative_squared_error 1.169852 root_relative_squared_error 1.023006 root_relative_squared_error 1.023006 root_relative_squared_error 1.098884 root_relative_squared_error 1.169852 root_relative_squared_error 1.35703 root_relative_squared_error 1.061623 root_relative_squared_error 1.098884 root_relative_squared_error 1.131841 root_relative_squared_error 0.982872 root_relative_squared_error 1.023006 root_relative_squared_error 1.203767 root_relative_squared_error 1.203767 root_relative_squared_error 1.098884 root_relative_squared_error 1.203767 root_relative_squared_error 1.134923 root_relative_squared_error 1.098884 root_relative_squared_error 1.134923 root_relative_squared_error 1.098884 root_relative_squared_error 0.982872 root_relative_squared_error 1.098884 root_relative_squared_error 0.941028 root_relative_squared_error 1.330815 root_relative_squared_error 1.134923 root_relative_squared_error 1.023006 root_relative_squared_error 1.134923 root_relative_squared_error 1.203767 root_relative_squared_error 1.023006 root_relative_squared_error 1.169852 root_relative_squared_error 1.236753 root_relative_squared_error 1.300217 root_relative_squared_error 1.134923 root_relative_squared_error 1.169852 root_relative_squared_error 1.023006 root_relative_squared_error 1.023006 root_relative_squared_error 1.061623 root_relative_squared_error 0.941028 root_relative_squared_error 1.098884 root_relative_squared_error 1.236753 root_relative_squared_error 0.897235 root_relative_squared_error 0.941028 root_relative_squared_error 0.897235 root_relative_squared_error 1.203767 root_relative_squared_error 1.134923 root_relative_squared_error 1.023006 root_relative_squared_error 0.982872 root_relative_squared_error 1.169852 root_relative_squared_error 1.236753 root_relative_squared_error 1.203767 root_relative_squared_error 1.023006 root_relative_squared_error 1.023006 root_relative_squared_error 1.131841 root_relative_squared_error 1.233395 root_relative_squared_error 1.233395 root_relative_squared_error 1.095901 root_relative_squared_error 1.098884 root_relative_squared_error 1.233395 root_relative_squared_error 1.020228 root_relative_squared_error 1.134923 root_relative_squared_error 1.200499 root_relative_squared_error 1.414802 root_relative_squared_error 1.233395 root_relative_squared_error 1.020228 root_relative_squared_error 1.166675 root_relative_squared_error 1.166675 root_relative_squared_error 1.061623 root_relative_squared_error 1.200499 root_relative_squared_error 1.166675 root_relative_squared_error 1.098884 root_relative_squared_error 1.35703 root_relative_squared_error 1.200499 root_relative_squared_error 1.131841 root_relative_squared_error 1.095901 root_relative_squared_error 1.131841 root_relative_squared_error 1.131841 root_relative_squared_error 1.134923 root_relative_squared_error 1.166675 root_relative_squared_error 1.058741 root_relative_squared_error 1.098884 root_relative_squared_error 1.200499 root_relative_squared_error 1.200499 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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 120 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 120 usercpu_time_millis 80 usercpu_time_millis 70 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 120 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 70 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 120 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 70 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 70 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 120 usercpu_time_millis 70 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 120 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 70 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 70 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 110 usercpu_time_millis 80 usercpu_time_millis 70 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 70 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 70 usercpu_time_millis 90 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 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 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 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 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 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 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 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 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 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 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 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 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 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 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_training 110 usercpu_time_millis_training 70 usercpu_time_millis_training 70 usercpu_time_millis_training 70 usercpu_time_millis_training 70 usercpu_time_millis_training 70 usercpu_time_millis_training 80 usercpu_time_millis_training 80 usercpu_time_millis_training 70 usercpu_time_millis_training 70 usercpu_time_millis_training 110 usercpu_time_millis_training 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