445550 2 Joaquin Vanschoren 4601 Supervised Classification predictive_accuracy 1185 weka.Bagging_REPTree(8) 2032 weka.classifiers.meta.Bagging -- -P 100 -S 1 -num-slots 1 -I 10 -W weka.classifiers.trees.REPTree -- -M 2 -V 0.001 -N 3 -S 1 -L -1 -I 0.0 M 2 1077 V 0.001 1077 N 3 1077 S 1 1077 L -1 1077 I 0.0 1077 P 100 1185 S 1 1185 num-slots 1 1185 I 10 1185 W weka.classifiers.trees.REPTree 1185 weka weka_3.7.12 1043 ada_agnostic https://www.openml.org/data/download/53926/ada_agnostic.arff -1 1560832 description https://api.openml.org/data/download/1560832/weka_generated_run7107269165141253576.xml -1 1560835 model_readable https://api.openml.org/data/download/1560835/WekaModel_weka.classifiers.meta.Bagging3584380138332620709.model -1 1560834 model_serialized https://api.openml.org/data/download/1560834/WekaSerialized_weka.classifiers.meta.Bagging2944066325485613896.model -1 1560833 predictions https://api.openml.org/data/download/1560833/weka_generated_predictions8353089319046356176.arff area_under_roc_curve 0.890861 [0.890861,0.890861] average_cost 0 f_measure 0.84174 [0.902285,0.658288] kappa 0.562253 kb_relative_information_score 19263.478465 mean_absolute_error 0.207247 mean_prior_absolute_error 0.373185 number_of_instances 45620 [34300,11320] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.841391 [0.873346,0.744565] predictive_accuracy 0.848027 prior_entropy 0.808488 recall 0.848027 [0.933207,0.589929] relative_absolute_error 0.555346 root_mean_prior_squared_error 0.431932 root_mean_squared_error 0.328318 root_relative_squared_error 0.760115 scimark_benchmark 941.499111 [553.7271705372895, 1011.2595505536781, 481.71462303608115, 911.4882009958203, 1749.3060121829703] total_cost 0 usercpu_time_millis 2030 usercpu_time_millis_testing 10 usercpu_time_millis_training 2020 area_under_roc_curve 0.881029 [0.881029,0.881029] area_under_roc_curve 0.888791 [0.888791,0.888791] area_under_roc_curve 0.883062 [0.883062,0.883062] area_under_roc_curve 0.909915 [0.909915,0.909915] area_under_roc_curve 0.886834 [0.886834,0.886834] area_under_roc_curve 0.869802 [0.869802,0.869802] area_under_roc_curve 0.882218 [0.882218,0.882218] area_under_roc_curve 0.877896 [0.877896,0.877896] area_under_roc_curve 0.899596 [0.899596,0.899596] area_under_roc_curve 0.897422 [0.897422,0.897422] area_under_roc_curve 0.906296 [0.906296,0.906296] area_under_roc_curve 0.886131 [0.886131,0.886131] area_under_roc_curve 0.898586 [0.898586,0.898586] area_under_roc_curve 0.897409 [0.897409,0.897409] area_under_roc_curve 0.880837 [0.880837,0.880837] area_under_roc_curve 0.898509 [0.898509,0.898509] area_under_roc_curve 0.891936 [0.891936,0.891936] area_under_roc_curve 0.899404 [0.899404,0.899404] area_under_roc_curve 0.888394 [0.888394,0.888394] area_under_roc_curve 0.890159 [0.890159,0.890159] area_under_roc_curve 0.887471 [0.887471,0.887471] area_under_roc_curve 0.913672 [0.913672,0.913672] area_under_roc_curve 0.89276 [0.89276,0.89276] area_under_roc_curve 0.88831 [0.88831,0.88831] area_under_roc_curve 0.904332 [0.904332,0.904332] area_under_roc_curve 0.886749 [0.886749,0.886749] area_under_roc_curve 0.881318 [0.881318,0.881318] area_under_roc_curve 0.897056 [0.897056,0.897056] area_under_roc_curve 0.884478 [0.884478,0.884478] area_under_roc_curve 0.903906 [0.903906,0.903906] area_under_roc_curve 0.90428 [0.90428,0.90428] area_under_roc_curve 0.900346 [0.900346,0.900346] area_under_roc_curve 0.883769 [0.883769,0.883769] area_under_roc_curve 0.878183 [0.878183,0.878183] area_under_roc_curve 0.892864 [0.892864,0.892864] area_under_roc_curve 0.887342 [0.887342,0.887342] area_under_roc_curve 0.879499 [0.879499,0.879499] area_under_roc_curve 0.883395 [0.883395,0.883395] area_under_roc_curve 0.906912 [0.906912,0.906912] area_under_roc_curve 0.921347 [0.921347,0.921347] area_under_roc_curve 0.91273 [0.91273,0.91273] area_under_roc_curve 0.864109 [0.864109,0.864109] area_under_roc_curve 0.888181 [0.888181,0.888181] area_under_roc_curve 0.885588 [0.885588,0.885588] area_under_roc_curve 0.899262 [0.899262,0.899262] area_under_roc_curve 0.893767 [0.893767,0.893767] area_under_roc_curve 0.901017 [0.901017,0.901017] area_under_roc_curve 0.897417 [0.897417,0.897417] area_under_roc_curve 0.89058 [0.89058,0.89058] area_under_roc_curve 0.891574 [0.891574,0.891574] area_under_roc_curve 0.902203 [0.902203,0.902203] area_under_roc_curve 0.921541 [0.921541,0.921541] area_under_roc_curve 0.879873 [0.879873,0.879873] area_under_roc_curve 0.880079 [0.880079,0.880079] area_under_roc_curve 0.853931 [0.853931,0.853931] area_under_roc_curve 0.893341 [0.893341,0.893341] area_under_roc_curve 0.895366 [0.895366,0.895366] area_under_roc_curve 0.892515 [0.892515,0.892515] area_under_roc_curve 0.886697 [0.886697,0.886697] area_under_roc_curve 0.890619 [0.890619,0.890619] area_under_roc_curve 0.883317 [0.883317,0.883317] area_under_roc_curve 0.893354 [0.893354,0.893354] area_under_roc_curve 0.898591 [0.898591,0.898591] area_under_roc_curve 0.895547 [0.895547,0.895547] area_under_roc_curve 0.894244 [0.894244,0.894244] area_under_roc_curve 0.895831 [0.895831,0.895831] area_under_roc_curve 0.887704 [0.887704,0.887704] area_under_roc_curve 0.921154 [0.921154,0.921154] area_under_roc_curve 0.878299 [0.878299,0.878299] area_under_roc_curve 0.872791 [0.872791,0.872791] area_under_roc_curve 0.900243 [0.900243,0.900243] area_under_roc_curve 0.889587 [0.889587,0.889587] area_under_roc_curve 0.899907 [0.899907,0.899907] area_under_roc_curve 0.878609 [0.878609,0.878609] area_under_roc_curve 0.903661 [0.903661,0.903661] area_under_roc_curve 0.888877 [0.888877,0.888877] area_under_roc_curve 0.874777 [0.874777,0.874777] area_under_roc_curve 0.907557 [0.907557,0.907557] area_under_roc_curve 0.882724 [0.882724,0.882724] area_under_roc_curve 0.875281 [0.875281,0.875281] area_under_roc_curve 0.856201 [0.856201,0.856201] area_under_roc_curve 0.883537 [0.883537,0.883537] area_under_roc_curve 0.878493 [0.878493,0.878493] area_under_roc_curve 0.882711 [0.882711,0.882711] area_under_roc_curve 0.89765 [0.89765,0.89765] area_under_roc_curve 0.902294 [0.902294,0.902294] area_under_roc_curve 0.913014 [0.913014,0.913014] area_under_roc_curve 0.877461 [0.877461,0.877461] area_under_roc_curve 0.893534 [0.893534,0.893534] area_under_roc_curve 0.89654 [0.89654,0.89654] area_under_roc_curve 0.877035 [0.877035,0.877035] area_under_roc_curve 0.879705 [0.879705,0.879705] area_under_roc_curve 0.904461 [0.904461,0.904461] area_under_roc_curve 0.925798 [0.925798,0.925798] area_under_roc_curve 0.900281 [0.900281,0.900281] area_under_roc_curve 0.88969 [0.88969,0.88969] area_under_roc_curve 0.915903 [0.915903,0.915903] area_under_roc_curve 0.892928 [0.892928,0.892928] area_under_roc_curve 0.901958 [0.901958,0.901958] area_under_roc_curve 0.868611 [0.868611,0.868611] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.829656 [0.898752,0.621762] f_measure 0.847387 [0.900433,0.687783] f_measure 0.835774 [0.900976,0.639594] f_measure 0.860648 [0.914205,0.699507] f_measure 0.844966 [0.904225,0.666667] f_measure 0.825309 [0.898072,0.606383] f_measure 0.835759 [0.896159,0.654028] f_measure 0.842994 [0.90268,0.663415] f_measure 0.829342 [0.894217,0.634146] f_measure 0.855496 [0.911641,0.686567] f_measure 0.841633 [0.90085,0.663462] f_measure 0.834323 [0.901526,0.632124] f_measure 0.833816 [0.899441,0.636364] f_measure 0.850908 [0.908836,0.676617] f_measure 0.836469 [0.900699,0.643216] f_measure 0.846157 [0.903683,0.673077] f_measure 0.831863 [0.897902,0.633166] f_measure 0.83061 [0.896067,0.633663] f_measure 0.835774 [0.900976,0.639594] f_measure 0.849627 [0.911602,0.663158] f_measure 0.837959 [0.902235,0.642857] f_measure 0.865392 [0.914286,0.716981] f_measure 0.84713 [0.905501,0.669951] f_measure 0.832083 [0.897616,0.633166] f_measure 0.837353 [0.900141,0.646766] f_measure 0.843779 [0.902128,0.666667] f_measure 0.830134 [0.896067,0.63] f_measure 0.865909 [0.916549,0.712195] f_measure 0.852835 [0.907801,0.68599] f_measure 0.837292 [0.897727,0.653846] f_measure 0.864842 [0.917018,0.706468] f_measure 0.855679 [0.911392,0.686567] f_measure 0.826315 [0.890469,0.631579] f_measure 0.842566 [0.90268,0.660099] f_measure 0.846331 [0.903409,0.673077] f_measure 0.81481 [0.888268,0.591837] f_measure 0.835996 [0.900699,0.639594] f_measure 0.834564 [0.893983,0.654206] f_measure 0.852953 [0.905172,0.694444] f_measure 0.870334 [0.916905,0.728972] f_measure 0.852835 [0.907801,0.68599] f_measure 0.81346 [0.881598,0.606635] f_measure 0.847867 [0.907563,0.666667] f_measure 0.847727 [0.905233,0.673171] f_measure 0.844539 [0.904225,0.663366] f_measure 0.829427 [0.896359,0.626263] f_measure 0.846331 [0.903409,0.673077] f_measure 0.840615 [0.903497,0.649746] f_measure 0.853089 [0.910112,0.68] f_measure 0.826391 [0.897507,0.610526] f_measure 0.845885 [0.906031,0.663317] f_measure 0.871453 [0.921348,0.72] f_measure 0.83149 [0.89548,0.637255] f_measure 0.830648 [0.898187,0.625641] f_measure 0.827603 [0.892351,0.631068] f_measure 0.831853 [0.9,0.625] f_measure 0.849207 [0.909344,0.666667] f_measure 0.83214 [0.895184,0.640777] f_measure 0.842078 [0.897842,0.672811] f_measure 0.85989 [0.911932,0.701923] f_measure 0.848541 [0.909597,0.663212] f_measure 0.840599 [0.90113,0.656863] f_measure 0.856818 [0.910891,0.692683] f_measure 0.854379 [0.904348,0.702703] f_measure 0.84575 [0.903683,0.669903] f_measure 0.838471 [0.897143,0.660377] f_measure 0.834722 [0.896454,0.647343] f_measure 0.841214 [0.90085,0.660194] f_measure 0.814693 [0.883523,0.605769] f_measure 0.81053 [0.889807,0.569892] f_measure 0.855679 [0.911392,0.686567] f_measure 0.852272 [0.908062,0.682927] f_measure 0.822882 [0.892006,0.613065] f_measure 0.81975 [0.888575,0.610837] f_measure 0.851464 [0.903319,0.694064] f_measure 0.853684 [0.909859,0.683168] f_measure 0.845153 [0.903955,0.666667] f_measure 0.84575 [0.903683,0.669903] f_measure 0.83409 [0.896747,0.643902] f_measure 0.814762 [0.880918,0.613953] f_measure 0.823302 [0.89415,0.608247] f_measure 0.832602 [0.899721,0.628866] f_measure 0.830093 [0.891117,0.64486] f_measure 0.817841 [0.891667,0.59375] f_measure 0.846029 [0.898256,0.6875] f_measure 0.849111 [0.907042,0.673267] f_measure 0.843257 [0.904762,0.656566] f_measure 0.844567 [0.906555,0.65641] f_measure 0.847727 [0.905233,0.673171] f_measure 0.865383 [0.916784,0.70936] f_measure 0.838636 [0.899576,0.653659] f_measure 0.83456 [0.901252,0.632124] f_measure 0.86337 [0.915254,0.705882] f_measure 0.850287 [0.906516,0.679612] f_measure 0.842448 [0.907331,0.645503] f_measure 0.846896 [0.903134,0.67619] f_measure 0.860602 [0.918621,0.684492] f_measure 0.841284 [0.903226,0.653266] f_measure 0.841811 [0.900568,0.663462] f_measure 0.841934 [0.902954,0.656716] kappa 0.524698 kappa 0.588347 kappa 0.543675 kappa 0.615378 kappa 0.572592 kappa 0.510196 kappa 0.551062 kappa 0.567668 kappa 0.530074 kappa 0.600242 kappa 0.565495 kappa 0.53772 kappa 0.538733 kappa 0.587551 kappa 0.546595 kappa 0.577909 kappa 0.533823 kappa 0.531931 kappa 0.543675 kappa 0.579178 kappa 0.547991 kappa 0.631753 kappa 0.577006 kappa 0.53318 kappa 0.54888 kappa 0.569858 kappa 0.528307 kappa 0.62987 kappa 0.594794 kappa 0.552563 kappa 0.625125 kappa 0.59971 kappa 0.522987 kappa 0.564379 kappa 0.577421 kappa 0.483418 kappa 0.543022 kappa 0.548624 kappa 0.599883 kappa 0.646218 kappa 0.594794 kappa 0.48901 kappa 0.576578 kappa 0.579683 kappa 0.569321 kappa 0.525254 kappa 0.577421 kappa 0.555894 kappa 0.592049 kappa 0.512638 kappa 0.571549 kappa 0.643043 kappa 0.534296 kappa 0.527078 kappa 0.524726 kappa 0.528939 kappa 0.578905 kappa 0.537234 kappa 0.570883 kappa 0.614707 kappa 0.576135 kappa 0.559469 kappa 0.604777 kappa 0.607092 kappa 0.574755 kappa 0.558104 kappa 0.544923 kappa 0.562248 kappa 0.490419 kappa 0.466027 kappa 0.59971 kappa 0.59223 kappa 0.507601 kappa 0.501246 kappa 0.597513 kappa 0.594655 kappa 0.572056 kappa 0.574755 kappa 0.542043 kappa 0.495279 kappa 0.506029 kappa 0.532028 kappa 0.536424 kappa 0.489684 kappa 0.585767 kappa 0.581988 kappa 0.563747 kappa 0.565949 kappa 0.579683 kappa 0.627513 kappa 0.554589 kappa 0.537009 kappa 0.622402 kappa 0.587262 kappa 0.557269 kappa 0.580054 kappa 0.607516 kappa 0.558759 kappa 0.564992 kappa 0.561587 kb_relative_information_score 195.291432 kb_relative_information_score 193.15345 kb_relative_information_score 178.447559 kb_relative_information_score 210.589176 kb_relative_information_score 203.83705 kb_relative_information_score 186.20274 kb_relative_information_score 185.623709 kb_relative_information_score 176.983612 kb_relative_information_score 190.160156 kb_relative_information_score 194.700541 kb_relative_information_score 200.484873 kb_relative_information_score 191.528441 kb_relative_information_score 194.032478 kb_relative_information_score 206.863115 kb_relative_information_score 190.934555 kb_relative_information_score 205.218526 kb_relative_information_score 197.165781 kb_relative_information_score 196.390253 kb_relative_information_score 187.932211 kb_relative_information_score 202.399534 kb_relative_information_score 192.044917 kb_relative_information_score 207.770761 kb_relative_information_score 195.802422 kb_relative_information_score 190.739936 kb_relative_information_score 194.414148 kb_relative_information_score 189.130653 kb_relative_information_score 180.433467 kb_relative_information_score 201.952302 kb_relative_information_score 199.613156 kb_relative_information_score 199.769084 kb_relative_information_score 204.538027 kb_relative_information_score 212.282292 kb_relative_information_score 178.746226 kb_relative_information_score 176.788182 kb_relative_information_score 187.951897 kb_relative_information_score 183.556138 kb_relative_information_score 174.619809 kb_relative_information_score 178.912265 kb_relative_information_score 199.359724 kb_relative_information_score 218.786365 kb_relative_information_score 210.912375 kb_relative_information_score 168.325847 kb_relative_information_score 193.602911 kb_relative_information_score 212.127829 kb_relative_information_score 197.992373 kb_relative_information_score 182.05176 kb_relative_information_score 192.581799 kb_relative_information_score 199.843921 kb_relative_information_score 195.763855 kb_relative_information_score 195.015369 kb_relative_information_score 200.634962 kb_relative_information_score 213.629987 kb_relative_information_score 174.073978 kb_relative_information_score 178.97915 kb_relative_information_score 166.479057 kb_relative_information_score 197.45074 kb_relative_information_score 199.108394 kb_relative_information_score 196.379165 kb_relative_information_score 179.47019 kb_relative_information_score 196.323386 kb_relative_information_score 202.183149 kb_relative_information_score 176.314665 kb_relative_information_score 195.244232 kb_relative_information_score 183.776245 kb_relative_information_score 199.986552 kb_relative_information_score 198.22113 kb_relative_information_score 185.054231 kb_relative_information_score 204.256944 kb_relative_information_score 175.225601 kb_relative_information_score 170.969263 kb_relative_information_score 202.360659 kb_relative_information_score 185.309768 kb_relative_information_score 200.931819 kb_relative_information_score 176.084488 kb_relative_information_score 199.492569 kb_relative_information_score 188.25631 kb_relative_information_score 189.853777 kb_relative_information_score 194.112566 kb_relative_information_score 188.93314 kb_relative_information_score 171.341015 kb_relative_information_score 166.633206 kb_relative_information_score 184.154548 kb_relative_information_score 175.791604 kb_relative_information_score 178.408594 kb_relative_information_score 184.20459 kb_relative_information_score 204.568894 kb_relative_information_score 199.262758 kb_relative_information_score 189.457964 kb_relative_information_score 209.734152 kb_relative_information_score 206.846743 kb_relative_information_score 166.901861 kb_relative_information_score 182.769248 kb_relative_information_score 208.812502 kb_relative_information_score 212.469054 kb_relative_information_score 202.481541 kb_relative_information_score 203.519159 kb_relative_information_score 205.475173 kb_relative_information_score 197.844613 kb_relative_information_score 190.857835 kb_relative_information_score 199.478291 mean_absolute_error 0.207757 mean_absolute_error 0.206066 mean_absolute_error 0.216518 mean_absolute_error 0.195706 mean_absolute_error 0.200759 mean_absolute_error 0.212661 mean_absolute_error 0.213212 mean_absolute_error 0.218388 mean_absolute_error 0.208814 mean_absolute_error 0.208052 mean_absolute_error 0.203989 mean_absolute_error 0.209493 mean_absolute_error 0.212634 mean_absolute_error 0.199704 mean_absolute_error 0.207406 mean_absolute_error 0.199458 mean_absolute_error 0.202943 mean_absolute_error 0.205215 mean_absolute_error 0.210191 mean_absolute_error 0.20385 mean_absolute_error 0.208674 mean_absolute_error 0.198625 mean_absolute_error 0.203483 mean_absolute_error 0.207915 mean_absolute_error 0.2051 mean_absolute_error 0.213126 mean_absolute_error 0.213651 mean_absolute_error 0.198609 mean_absolute_error 0.202713 mean_absolute_error 0.199789 mean_absolute_error 0.197946 mean_absolute_error 0.193273 mean_absolute_error 0.215429 mean_absolute_error 0.218096 mean_absolute_error 0.21 mean_absolute_error 0.217137 mean_absolute_error 0.221532 mean_absolute_error 0.216862 mean_absolute_error 0.201801 mean_absolute_error 0.188046 mean_absolute_error 0.195575 mean_absolute_error 0.220704 mean_absolute_error 0.207166 mean_absolute_error 0.193927 mean_absolute_error 0.202171 mean_absolute_error 0.215493 mean_absolute_error 0.204541 mean_absolute_error 0.201249 mean_absolute_error 0.20802 mean_absolute_error 0.207475 mean_absolute_error 0.200207 mean_absolute_error 0.194651 mean_absolute_error 0.218887 mean_absolute_error 0.216102 mean_absolute_error 0.223554 mean_absolute_error 0.205042 mean_absolute_error 0.203515 mean_absolute_error 0.203437 mean_absolute_error 0.212732 mean_absolute_error 0.203752 mean_absolute_error 0.201344 mean_absolute_error 0.218118 mean_absolute_error 0.206802 mean_absolute_error 0.213095 mean_absolute_error 0.201399 mean_absolute_error 0.202924 mean_absolute_error 0.212614 mean_absolute_error 0.200454 mean_absolute_error 0.218356 mean_absolute_error 0.220526 mean_absolute_error 0.201405 mean_absolute_error 0.210756 mean_absolute_error 0.198635 mean_absolute_error 0.219317 mean_absolute_error 0.202588 mean_absolute_error 0.207472 mean_absolute_error 0.209918 mean_absolute_error 0.205959 mean_absolute_error 0.209478 mean_absolute_error 0.219625 mean_absolute_error 0.222301 mean_absolute_error 0.208857 mean_absolute_error 0.215518 mean_absolute_error 0.220592 mean_absolute_error 0.213092 mean_absolute_error 0.200316 mean_absolute_error 0.204938 mean_absolute_error 0.20884 mean_absolute_error 0.198542 mean_absolute_error 0.197421 mean_absolute_error 0.2241 mean_absolute_error 0.214504 mean_absolute_error 0.197371 mean_absolute_error 0.190945 mean_absolute_error 0.201042 mean_absolute_error 0.198607 mean_absolute_error 0.198957 mean_absolute_error 0.204647 mean_absolute_error 0.20779 mean_absolute_error 0.202717 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] precision 0.832784 [0.857143,0.759494] precision 0.846241 [0.891429,0.71028] precision 0.837544 [0.863636,0.759036] precision 0.861849 [0.883152,0.797753] precision 0.844949 [0.874659,0.755556] precision 0.830993 [0.851175,0.77027] precision 0.834175 [0.875,0.71134] precision 0.84262 [0.874317,0.747253] precision 0.828245 [0.86612,0.714286] precision 0.857106 [0.878378,0.793103] precision 0.840613 [0.876033,0.734043] precision 0.837927 [0.859788,0.772152] precision 0.835015 [0.863271,0.75] precision 0.852211 [0.875676,0.781609] precision 0.83749 [0.865591,0.752941] precision 0.845334 [0.878788,0.744681] precision 0.832538 [0.862903,0.741176] precision 0.830267 [0.864499,0.727273] precision 0.837544 [0.863636,0.759036] precision 0.856863 [0.866142,0.828947] precision 0.839457 [0.865952,0.759036] precision 0.86447 [0.896359,0.767677] precision 0.846942 [0.877049,0.755556] precision 0.832078 [0.864865,0.732558] precision 0.83712 [0.869565,0.738636] precision 0.842667 [0.878453,0.734043] precision 0.829716 [0.864499,0.724138] precision 0.866164 [0.89011,0.793478] precision 0.852095 [0.883978,0.755319] precision 0.835807 [0.875346,0.715789] precision 0.86628 [0.88587,0.806818] precision 0.85656 [0.880435,0.784091] precision 0.824357 [0.869444,0.6875] precision 0.842134 [0.874317,0.744444] precision 0.845191 [0.880886,0.736842] precision 0.814446 [0.852547,0.698795] precision 0.836947 [0.865591,0.75] precision 0.83283 [0.878873,0.693069] precision 0.851662 [0.892351,0.728155] precision 0.869409 [0.901408,0.772277] precision 0.852095 [0.883978,0.755319] precision 0.811072 [0.863128,0.653061] precision 0.849317 [0.873315,0.776471] precision 0.847124 [0.879121,0.75] precision 0.844464 [0.874659,0.752809] precision 0.829545 [0.862534,0.729412] precision 0.845191 [0.880886,0.736842] precision 0.841919 [0.86828,0.761905] precision 0.85415 [0.878049,0.781609] precision 0.829696 [0.854881,0.753247] precision 0.846822 [0.872973,0.767442] precision 0.873698 [0.888889,0.827586] precision 0.830279 [0.868493,0.714286] precision 0.831954 [0.860963,0.743902] precision 0.825928 [0.867769,0.698925] precision 0.834655 [0.859416,0.759494] precision 0.852087 [0.871658,0.792683] precision 0.830665 [0.870523,0.709677] precision 0.840658 [0.886364,0.701923] precision 0.859268 [0.889197,0.768421] precision 0.852413 [0.869681,0.8] precision 0.839847 [0.873973,0.736264] precision 0.856644 [0.884615,0.771739] precision 0.853653 [0.899135,0.715596] precision 0.844875 [0.878788,0.741935] precision 0.83681 [0.879552,0.707071] precision 0.833239 [0.872928,0.712766] precision 0.840138 [0.876033,0.731183] precision 0.812346 [0.861496,0.663158] precision 0.814271 [0.843342,0.726027] precision 0.85656 [0.880435,0.784091] precision 0.851884 [0.881868,0.76087] precision 0.822249 [0.859459,0.709302] precision 0.818091 [0.860656,0.688889] precision 0.850348 [0.894286,0.716981] precision 0.854132 [0.880109,0.775281] precision 0.844631 [0.876712,0.747253] precision 0.844875 [0.878788,0.741935] precision 0.832844 [0.870879,0.717391] precision 0.812671 [0.867232,0.647059] precision 0.824379 [0.856,0.728395] precision 0.834509 [0.861333,0.753086] precision 0.828257 [0.876056,0.683168] precision 0.819259 [0.851459,0.721519] precision 0.845605 [0.895652,0.693694] precision 0.849298 [0.877384,0.764045] precision 0.844374 [0.87062,0.764706] precision 0.847054 [0.868984,0.780488] precision 0.847124 [0.879121,0.75] precision 0.866177 [0.887978,0.8] precision 0.837604 [0.873626,0.728261] precision 0.837119 [0.861702,0.7625] precision 0.863767 [0.887671,0.791209] precision 0.849612 [0.881543,0.752688] precision 0.848159 [0.863158,0.802632] precision 0.845577 [0.883008,0.731959] precision 0.870027 [0.871728,0.864865] precision 0.841907 [0.87027,0.755814] precision 0.840499 [0.878116,0.726316] precision 0.84198 [0.872283,0.75] predictive_accuracy 0.840263 predictive_accuracy 0.849015 predictive_accuracy 0.844639 predictive_accuracy 0.866521 predictive_accuracy 0.851204 predictive_accuracy 0.838074 predictive_accuracy 0.840263 predictive_accuracy 0.849015 predictive_accuracy 0.835886 predictive_accuracy 0.862144 predictive_accuracy 0.846827 predictive_accuracy 0.844639 predictive_accuracy 0.842451 predictive_accuracy 0.857768 predictive_accuracy 0.844639 predictive_accuracy 0.851204 predictive_accuracy 0.840263 predictive_accuracy 0.838074 predictive_accuracy 0.844639 predictive_accuracy 0.859956 predictive_accuracy 0.846491 predictive_accuracy 0.868421 predictive_accuracy 0.85307 predictive_accuracy 0.839912 predictive_accuracy 0.844298 predictive_accuracy 0.848684 predictive_accuracy 0.837719 predictive_accuracy 0.870614 predictive_accuracy 0.857456 predictive_accuracy 0.842105 predictive_accuracy 0.870614 predictive_accuracy 0.861842 predictive_accuracy 0.83114 predictive_accuracy 0.848684 predictive_accuracy 0.850877 predictive_accuracy 0.824561 predictive_accuracy 0.844298 predictive_accuracy 0.837719 predictive_accuracy 0.855263 predictive_accuracy 0.872807 predictive_accuracy 0.857456 predictive_accuracy 0.817982 predictive_accuracy 0.855263 predictive_accuracy 0.85307 predictive_accuracy 0.850877 predictive_accuracy 0.837719 predictive_accuracy 0.850877 predictive_accuracy 0.848684 predictive_accuracy 0.859649 predictive_accuracy 0.837719 predictive_accuracy 0.85307 predictive_accuracy 0.877193 predictive_accuracy 0.837719 predictive_accuracy 0.839912 predictive_accuracy 0.833333 predictive_accuracy 0.842105 predictive_accuracy 0.857456 predictive_accuracy 0.837719 predictive_accuracy 0.844298 predictive_accuracy 0.864035 predictive_accuracy 0.857456 predictive_accuracy 0.846491 predictive_accuracy 0.861842 predictive_accuracy 0.855263 predictive_accuracy 0.850877 predictive_accuracy 0.842105 predictive_accuracy 0.839912 predictive_accuracy 0.846491 predictive_accuracy 0.820175 predictive_accuracy 0.824561 predictive_accuracy 0.861842 predictive_accuracy 0.857456 predictive_accuracy 0.83114 predictive_accuracy 0.826754 predictive_accuracy 0.85307 predictive_accuracy 0.859649 predictive_accuracy 0.850877 predictive_accuracy 0.850877 predictive_accuracy 0.839912 predictive_accuracy 0.817982 predictive_accuracy 0.833333 predictive_accuracy 0.842105 predictive_accuracy 0.833333 predictive_accuracy 0.828947 predictive_accuracy 0.846491 predictive_accuracy 0.855263 predictive_accuracy 0.850877 predictive_accuracy 0.85307 predictive_accuracy 0.85307 predictive_accuracy 0.870614 predictive_accuracy 0.844298 predictive_accuracy 0.844298 predictive_accuracy 0.868421 predictive_accuracy 0.855263 predictive_accuracy 0.85307 predictive_accuracy 0.850877 predictive_accuracy 0.870614 predictive_accuracy 0.848684 predictive_accuracy 0.846491 predictive_accuracy 0.848684 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 recall 0.840263 [0.944606,0.526316] recall 0.849015 [0.909621,0.666667] recall 0.844639 [0.941691,0.552632] recall 0.866521 [0.947522,0.622807] recall 0.851204 [0.93586,0.596491] recall 0.838074 [0.950437,0.5] recall 0.840263 [0.918367,0.605263] recall 0.849015 [0.932945,0.596491] recall 0.835886 [0.924198,0.570175] recall 0.862144 [0.947522,0.605263] recall 0.846827 [0.927114,0.605263] recall 0.844639 [0.947522,0.535088] recall 0.842451 [0.938776,0.552632] recall 0.857768 [0.944606,0.596491] recall 0.844639 [0.938776,0.561404] recall 0.851204 [0.930029,0.614035] recall 0.840263 [0.93586,0.552632] recall 0.838074 [0.930029,0.561404] recall 0.844639 [0.941691,0.552632] recall 0.859956 [0.962099,0.552632] recall 0.846491 [0.941691,0.557522] recall 0.868421 [0.932945,0.672566] recall 0.85307 [0.93586,0.60177] recall 0.839912 [0.932945,0.557522] recall 0.844298 [0.932945,0.575221] recall 0.848684 [0.927114,0.610619] recall 0.837719 [0.930029,0.557522] recall 0.870614 [0.944606,0.646018] recall 0.857456 [0.932945,0.628319] recall 0.842105 [0.921283,0.60177] recall 0.870614 [0.950437,0.628319] recall 0.861842 [0.944606,0.610619] recall 0.83114 [0.912536,0.584071] recall 0.848684 [0.932945,0.59292] recall 0.850877 [0.927114,0.619469] recall 0.824561 [0.927114,0.513274] recall 0.844298 [0.938776,0.557522] recall 0.837719 [0.909621,0.619469] recall 0.855263 [0.918367,0.663717] recall 0.872807 [0.932945,0.690265] recall 0.857456 [0.932945,0.628319] recall 0.817982 [0.900875,0.566372] recall 0.855263 [0.944606,0.584071] recall 0.85307 [0.932945,0.610619] recall 0.850877 [0.93586,0.59292] recall 0.837719 [0.932945,0.548673] recall 0.850877 [0.927114,0.619469] recall 0.848684 [0.941691,0.566372] recall 0.859649 [0.944606,0.60177] recall 0.837719 [0.944606,0.513274] recall 0.85307 [0.941691,0.584071] recall 0.877193 [0.956268,0.637168] recall 0.837719 [0.924198,0.575221] recall 0.839912 [0.938776,0.539823] recall 0.833333 [0.918367,0.575221] recall 0.842105 [0.944606,0.530973] recall 0.857456 [0.950437,0.575221] recall 0.837719 [0.921283,0.584071] recall 0.844298 [0.909621,0.646018] recall 0.864035 [0.93586,0.646018] recall 0.857456 [0.953353,0.566372] recall 0.846491 [0.930029,0.59292] recall 0.861842 [0.938776,0.628319] recall 0.855263 [0.909621,0.690265] recall 0.850877 [0.930029,0.610619] recall 0.842105 [0.915452,0.619469] recall 0.839912 [0.921283,0.59292] recall 0.846491 [0.927114,0.60177] recall 0.820175 [0.906706,0.557522] recall 0.824561 [0.941691,0.469027] recall 0.861842 [0.944606,0.610619] recall 0.857456 [0.93586,0.619469] recall 0.83114 [0.927114,0.539823] recall 0.826754 [0.918367,0.548673] recall 0.85307 [0.912536,0.672566] recall 0.859649 [0.941691,0.610619] recall 0.850877 [0.932945,0.60177] recall 0.850877 [0.930029,0.610619] recall 0.839912 [0.924198,0.584071] recall 0.817982 [0.895044,0.584071] recall 0.833333 [0.93586,0.522124] recall 0.842105 [0.941691,0.539823] recall 0.833333 [0.906706,0.610619] recall 0.828947 [0.93586,0.504425] recall 0.846491 [0.900875,0.681416] recall 0.855263 [0.938776,0.60177] recall 0.850877 [0.941691,0.575221] recall 0.85307 [0.947522,0.566372] recall 0.85307 [0.932945,0.610619] recall 0.870614 [0.947522,0.637168] recall 0.844298 [0.927114,0.59292] recall 0.844298 [0.944606,0.539823] recall 0.868421 [0.944606,0.637168] recall 0.855263 [0.932945,0.619469] recall 0.85307 [0.956268,0.539823] recall 0.850877 [0.924198,0.628319] recall 0.870614 [0.970845,0.566372] recall 0.848684 [0.938776,0.575221] recall 0.846491 [0.924198,0.610619] recall 0.848684 [0.93586,0.584071] relative_absolute_error 0.555726 relative_absolute_error 0.551201 relative_absolute_error 0.579161 relative_absolute_error 0.52349 relative_absolute_error 0.537007 relative_absolute_error 0.568844 relative_absolute_error 0.570318 relative_absolute_error 0.584163 relative_absolute_error 0.558554 relative_absolute_error 0.556514 relative_absolute_error 0.545646 relative_absolute_error 0.560369 relative_absolute_error 0.56877 relative_absolute_error 0.534186 relative_absolute_error 0.554788 relative_absolute_error 0.533528 relative_absolute_error 0.54285 relative_absolute_error 0.548925 relative_absolute_error 0.562237 relative_absolute_error 0.545275 relative_absolute_error 0.559418 relative_absolute_error 0.532478 relative_absolute_error 0.545503 relative_absolute_error 0.557385 relative_absolute_error 0.549836 relative_absolute_error 0.571352 relative_absolute_error 0.57276 relative_absolute_error 0.532435 relative_absolute_error 0.543438 relative_absolute_error 0.535598 relative_absolute_error 0.530658 relative_absolute_error 0.518133 relative_absolute_error 0.577529 relative_absolute_error 0.584678 relative_absolute_error 0.562974 relative_absolute_error 0.582105 relative_absolute_error 0.59389 relative_absolute_error 0.58137 relative_absolute_error 0.540995 relative_absolute_error 0.504119 relative_absolute_error 0.524303 relative_absolute_error 0.591668 relative_absolute_error 0.555377 relative_absolute_error 0.519884 relative_absolute_error 0.541985 relative_absolute_error 0.577699 relative_absolute_error 0.54834 relative_absolute_error 0.539513 relative_absolute_error 0.557665 relative_absolute_error 0.556205 relative_absolute_error 0.536719 relative_absolute_error 0.521826 relative_absolute_error 0.586798 relative_absolute_error 0.579331 relative_absolute_error 0.599309 relative_absolute_error 0.549681 relative_absolute_error 0.545588 relative_absolute_error 0.545378 relative_absolute_error 0.570299 relative_absolute_error 0.546225 relative_absolute_error 0.539768 relative_absolute_error 0.584737 relative_absolute_error 0.554399 relative_absolute_error 0.571271 relative_absolute_error 0.539915 relative_absolute_error 0.544004 relative_absolute_error 0.569981 relative_absolute_error 0.537381 relative_absolute_error 0.585374 relative_absolute_error 0.59119 relative_absolute_error 0.539931 relative_absolute_error 0.565 relative_absolute_error 0.532505 relative_absolute_error 0.58795 relative_absolute_error 0.543103 relative_absolute_error 0.556196 relative_absolute_error 0.562753 relative_absolute_error 0.55214 relative_absolute_error 0.561574 relative_absolute_error 0.588776 relative_absolute_error 0.595949 relative_absolute_error 0.559909 relative_absolute_error 0.577768 relative_absolute_error 0.591369 relative_absolute_error 0.571262 relative_absolute_error 0.537013 relative_absolute_error 0.549402 relative_absolute_error 0.559864 relative_absolute_error 0.532255 relative_absolute_error 0.52925 relative_absolute_error 0.600773 relative_absolute_error 0.575049 relative_absolute_error 0.529117 relative_absolute_error 0.51189 relative_absolute_error 0.538958 relative_absolute_error 0.53243 relative_absolute_error 0.533368 relative_absolute_error 0.548622 relative_absolute_error 0.557048 relative_absolute_error 0.543448 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_squared_error 0.33479 root_mean_squared_error 0.330703 root_mean_squared_error 0.334317 root_mean_squared_error 0.312728 root_mean_squared_error 0.326356 root_mean_squared_error 0.344951 root_mean_squared_error 0.340108 root_mean_squared_error 0.338436 root_mean_squared_error 0.326371 root_mean_squared_error 0.327223 root_mean_squared_error 0.322195 root_mean_squared_error 0.33059 root_mean_squared_error 0.324304 root_mean_squared_error 0.322728 root_mean_squared_error 0.33751 root_mean_squared_error 0.325951 root_mean_squared_error 0.327275 root_mean_squared_error 0.329444 root_mean_squared_error 0.332868 root_mean_squared_error 0.32751 root_mean_squared_error 0.329645 root_mean_squared_error 0.312813 root_mean_squared_error 0.323073 root_mean_squared_error 0.331064 root_mean_squared_error 0.326585 root_mean_squared_error 0.328741 root_mean_squared_error 0.339348 root_mean_squared_error 0.319218 root_mean_squared_error 0.330269 root_mean_squared_error 0.321906 root_mean_squared_error 0.315764 root_mean_squared_error 0.318307 root_mean_squared_error 0.335603 root_mean_squared_error 0.340167 root_mean_squared_error 0.327657 root_mean_squared_error 0.336349 root_mean_squared_error 0.337532 root_mean_squared_error 0.332812 root_mean_squared_error 0.317811 root_mean_squared_error 0.301632 root_mean_squared_error 0.310059 root_mean_squared_error 0.348317 root_mean_squared_error 0.322645 root_mean_squared_error 0.319272 root_mean_squared_error 0.321196 root_mean_squared_error 0.335366 root_mean_squared_error 0.327638 root_mean_squared_error 0.327889 root_mean_squared_error 0.32532 root_mean_squared_error 0.329139 root_mean_squared_error 0.323248 root_mean_squared_error 0.305345 root_mean_squared_error 0.341865 root_mean_squared_error 0.337313 root_mean_squared_error 0.347475 root_mean_squared_error 0.328303 root_mean_squared_error 0.322747 root_mean_squared_error 0.331434 root_mean_squared_error 0.336505 root_mean_squared_error 0.326796 root_mean_squared_error 0.324158 root_mean_squared_error 0.330785 root_mean_squared_error 0.322054 root_mean_squared_error 0.328521 root_mean_squared_error 0.325904 root_mean_squared_error 0.321971 root_mean_squared_error 0.330969 root_mean_squared_error 0.3145 root_mean_squared_error 0.343867 root_mean_squared_error 0.346851 root_mean_squared_error 0.318927 root_mean_squared_error 0.32758 root_mean_squared_error 0.327074 root_mean_squared_error 0.33972 root_mean_squared_error 0.321074 root_mean_squared_error 0.325444 root_mean_squared_error 0.332944 root_mean_squared_error 0.32143 root_mean_squared_error 0.331095 root_mean_squared_error 0.34555 root_mean_squared_error 0.353791 root_mean_squared_error 0.331265 root_mean_squared_error 0.34296 root_mean_squared_error 0.338557 root_mean_squared_error 0.325484 root_mean_squared_error 0.325149 root_mean_squared_error 0.31476 root_mean_squared_error 0.333646 root_mean_squared_error 0.320966 root_mean_squared_error 0.316021 root_mean_squared_error 0.341528 root_mean_squared_error 0.336048 root_mean_squared_error 0.31863 root_mean_squared_error 0.306317 root_mean_squared_error 0.323113 root_mean_squared_error 0.316332 root_mean_squared_error 0.31445 root_mean_squared_error 0.326832 root_mean_squared_error 0.325767 root_mean_squared_error 0.334731 root_relative_squared_error 0.773726 root_relative_squared_error 0.76428 root_relative_squared_error 0.772633 root_relative_squared_error 0.722739 root_relative_squared_error 0.754236 root_relative_squared_error 0.79721 root_relative_squared_error 0.786017 root_relative_squared_error 0.782153 root_relative_squared_error 0.75427 root_relative_squared_error 0.756239 root_relative_squared_error 0.744619 root_relative_squared_error 0.76402 root_relative_squared_error 0.749493 root_relative_squared_error 0.74585 root_relative_squared_error 0.780012 root_relative_squared_error 0.753299 root_relative_squared_error 0.756359 root_relative_squared_error 0.761372 root_relative_squared_error 0.769284 root_relative_squared_error 0.756902 root_relative_squared_error 0.763527 root_relative_squared_error 0.72454 root_relative_squared_error 0.748306 root_relative_squared_error 0.766815 root_relative_squared_error 0.75644 root_relative_squared_error 0.761435 root_relative_squared_error 0.786001 root_relative_squared_error 0.739377 root_relative_squared_error 0.764974 root_relative_squared_error 0.745603 root_relative_squared_error 0.731376 root_relative_squared_error 0.737266 root_relative_squared_error 0.777328 root_relative_squared_error 0.7879 root_relative_squared_error 0.758924 root_relative_squared_error 0.779057 root_relative_squared_error 0.781797 root_relative_squared_error 0.770863 root_relative_squared_error 0.736118 root_relative_squared_error 0.698643 root_relative_squared_error 0.718162 root_relative_squared_error 0.806776 root_relative_squared_error 0.747314 root_relative_squared_error 0.739501 root_relative_squared_error 0.743958 root_relative_squared_error 0.776779 root_relative_squared_error 0.75888 root_relative_squared_error 0.759459 root_relative_squared_error 0.75351 root_relative_squared_error 0.762355 root_relative_squared_error 0.748712 root_relative_squared_error 0.707244 root_relative_squared_error 0.791831 root_relative_squared_error 0.781288 root_relative_squared_error 0.804826 root_relative_squared_error 0.76042 root_relative_squared_error 0.747551 root_relative_squared_error 0.76767 root_relative_squared_error 0.779416 root_relative_squared_error 0.756929 root_relative_squared_error 0.750819 root_relative_squared_error 0.766168 root_relative_squared_error 0.745946 root_relative_squared_error 0.760925 root_relative_squared_error 0.754862 root_relative_squared_error 0.745753 root_relative_squared_error 0.766595 root_relative_squared_error 0.728449 root_relative_squared_error 0.79647 root_relative_squared_error 0.803381 root_relative_squared_error 0.738703 root_relative_squared_error 0.758745 root_relative_squared_error 0.757573 root_relative_squared_error 0.786863 root_relative_squared_error 0.743675 root_relative_squared_error 0.753798 root_relative_squared_error 0.77117 root_relative_squared_error 0.744501 root_relative_squared_error 0.766887 root_relative_squared_error 0.800367 root_relative_squared_error 0.819454 root_relative_squared_error 0.76728 root_relative_squared_error 0.794367 root_relative_squared_error 0.784169 root_relative_squared_error 0.753891 root_relative_squared_error 0.753115 root_relative_squared_error 0.729051 root_relative_squared_error 0.772796 root_relative_squared_error 0.743425 root_relative_squared_error 0.731971 root_relative_squared_error 0.791051 root_relative_squared_error 0.778358 root_relative_squared_error 0.738015 root_relative_squared_error 0.709496 root_relative_squared_error 0.748399 root_relative_squared_error 0.732691 root_relative_squared_error 0.728333 root_relative_squared_error 0.757012 root_relative_squared_error 0.754545 root_relative_squared_error 0.775308 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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 1690 usercpu_time_millis 1670 usercpu_time_millis 1650 usercpu_time_millis 1850 usercpu_time_millis 1780 usercpu_time_millis 1700 usercpu_time_millis 1690 usercpu_time_millis 1750 usercpu_time_millis 1710 usercpu_time_millis 1680 usercpu_time_millis 1710 usercpu_time_millis 1640 usercpu_time_millis 1670 usercpu_time_millis 1660 usercpu_time_millis 1790 usercpu_time_millis 1690 usercpu_time_millis 1740 usercpu_time_millis 1750 usercpu_time_millis 1720 usercpu_time_millis 1700 usercpu_time_millis 1720 usercpu_time_millis 1730 usercpu_time_millis 1710 usercpu_time_millis 1680 usercpu_time_millis 1870 usercpu_time_millis 1760 usercpu_time_millis 1700 usercpu_time_millis 1770 usercpu_time_millis 1750 usercpu_time_millis 1700 usercpu_time_millis 1700 usercpu_time_millis 1670 usercpu_time_millis 1710 usercpu_time_millis 1670 usercpu_time_millis 1880 usercpu_time_millis 1700 usercpu_time_millis 1660 usercpu_time_millis 1750 usercpu_time_millis 1740 usercpu_time_millis 1720 usercpu_time_millis 1690 usercpu_time_millis 1680 usercpu_time_millis 1700 usercpu_time_millis 1700 usercpu_time_millis 1820 usercpu_time_millis 1730 usercpu_time_millis 1710 usercpu_time_millis 1730 usercpu_time_millis 1700 usercpu_time_millis 1690 usercpu_time_millis 1730 usercpu_time_millis 1700 usercpu_time_millis 1790 usercpu_time_millis 1700 usercpu_time_millis 1760 usercpu_time_millis 1680 usercpu_time_millis 1670 usercpu_time_millis 1710 usercpu_time_millis 1760 usercpu_time_millis 1670 usercpu_time_millis 1730 usercpu_time_millis 1670 usercpu_time_millis 1680 usercpu_time_millis 1720 usercpu_time_millis 1700 usercpu_time_millis 1720 usercpu_time_millis 1700 usercpu_time_millis 1670 usercpu_time_millis 1700 usercpu_time_millis 1660 usercpu_time_millis 1670 usercpu_time_millis 1740 usercpu_time_millis 1750 usercpu_time_millis 1730 usercpu_time_millis 1760 usercpu_time_millis 1720 usercpu_time_millis 1750 usercpu_time_millis 1700 usercpu_time_millis 1710 usercpu_time_millis 1690 usercpu_time_millis 1660 usercpu_time_millis 1650 usercpu_time_millis 1790 usercpu_time_millis 1720 usercpu_time_millis 1680 usercpu_time_millis 1750 usercpu_time_millis 1850 usercpu_time_millis 1660 usercpu_time_millis 1660 usercpu_time_millis 1730 usercpu_time_millis 1690 usercpu_time_millis 1710 usercpu_time_millis 1820 usercpu_time_millis 1750 usercpu_time_millis 1670 usercpu_time_millis 1650 usercpu_time_millis 1720 usercpu_time_millis 1650 usercpu_time_millis 1680 usercpu_time_millis 1700 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 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 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