212179 2 Joaquin Vanschoren 4291 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_3.7.12 720 abalone https://www.openml.org/data/download/53254/abalone.arff -1 705994 description https://api.openml.org/data/download/705994/weka_generated_run165230385742894420.xml -1 705997 model_readable https://api.openml.org/data/download/705997/WekaModel_weka.classifiers.meta.Bagging7947269012616393093.model -1 705996 model_serialized https://api.openml.org/data/download/705996/WekaSerialized_weka.classifiers.meta.Bagging3103789449246261723.model -1 705995 predictions https://api.openml.org/data/download/705995/weka_generated_predictions8677572119406443676.arff area_under_roc_curve 0.868908 [0.868908,0.868908] average_cost 0 f_measure 0.784542 [0.780575,0.788538] kappa 0.569323 kb_relative_information_score 19401.260885 mean_absolute_error 0.279624 mean_prior_absolute_error 0.499994 number_of_instances 41770 [20960,20810] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.78522 [0.798533,0.771811] predictive_accuracy 0.78463 prior_entropy 0.999991 recall 0.78463 [0.763406,0.806007] relative_absolute_error 0.559256 root_mean_prior_squared_error 0.499997 root_mean_squared_error 0.383907 root_relative_squared_error 0.767818 scimark_benchmark 940.000843 [555.3137924208822, 1007.5581615570936, 482.36378704342826, 907.7008274280431, 1747.0676455404612] total_cost 0 usercpu_time_millis 350 usercpu_time_millis_testing 20 usercpu_time_millis_training 330 area_under_roc_curve 0.888796 [0.888796,0.888796] area_under_roc_curve 0.87025 [0.87025,0.87025] area_under_roc_curve 0.857615 [0.857615,0.857615] area_under_roc_curve 0.871921 [0.871921,0.871921] area_under_roc_curve 0.873664 [0.873664,0.873664] area_under_roc_curve 0.865216 [0.865216,0.865216] area_under_roc_curve 0.872439 [0.872439,0.872439] area_under_roc_curve 0.866827 [0.866827,0.866827] area_under_roc_curve 0.878265 [0.878265,0.878265] area_under_roc_curve 0.88748 [0.88748,0.88748] area_under_roc_curve 0.858276 [0.858276,0.858276] area_under_roc_curve 0.87413 [0.87413,0.87413] area_under_roc_curve 0.837992 [0.837992,0.837992] area_under_roc_curve 0.904888 [0.904888,0.904888] area_under_roc_curve 0.849405 [0.849405,0.849405] area_under_roc_curve 0.865831 [0.865831,0.865831] area_under_roc_curve 0.880311 [0.880311,0.880311] area_under_roc_curve 0.855941 [0.855941,0.855941] area_under_roc_curve 0.85704 [0.85704,0.85704] area_under_roc_curve 0.855529 [0.855529,0.855529] area_under_roc_curve 0.905952 [0.905952,0.905952] area_under_roc_curve 0.875641 [0.875641,0.875641] area_under_roc_curve 0.879808 [0.879808,0.879808] area_under_roc_curve 0.871406 [0.871406,0.871406] area_under_roc_curve 0.871406 [0.871406,0.871406] area_under_roc_curve 0.821245 [0.821245,0.821245] area_under_roc_curve 0.891518 [0.891518,0.891518] area_under_roc_curve 0.860577 [0.860577,0.860577] area_under_roc_curve 0.882624 [0.882624,0.882624] area_under_roc_curve 0.869906 [0.869906,0.869906] area_under_roc_curve 0.844402 [0.844402,0.844402] area_under_roc_curve 0.858677 [0.858677,0.858677] area_under_roc_curve 0.897333 [0.897333,0.897333] area_under_roc_curve 0.836722 [0.836722,0.836722] area_under_roc_curve 0.873947 [0.873947,0.873947] area_under_roc_curve 0.86005 [0.86005,0.86005] area_under_roc_curve 0.834375 [0.834375,0.834375] area_under_roc_curve 0.853411 [0.853411,0.853411] area_under_roc_curve 0.842766 [0.842766,0.842766] area_under_roc_curve 0.879453 [0.879453,0.879453] area_under_roc_curve 0.851087 [0.851087,0.851087] area_under_roc_curve 0.863668 [0.863668,0.863668] area_under_roc_curve 0.888061 [0.888061,0.888061] area_under_roc_curve 0.863462 [0.863462,0.863462] area_under_roc_curve 0.8538 [0.8538,0.8538] area_under_roc_curve 0.851271 [0.851271,0.851271] area_under_roc_curve 0.876946 [0.876946,0.876946] area_under_roc_curve 0.873592 [0.873592,0.873592] area_under_roc_curve 0.871852 [0.871852,0.871852] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.856376 [0.856376,0.856376] area_under_roc_curve 0.859478 [0.859478,0.859478] area_under_roc_curve 0.86416 [0.86416,0.86416] area_under_roc_curve 0.877141 [0.877141,0.877141] area_under_roc_curve 0.876957 [0.876957,0.876957] area_under_roc_curve 0.884123 [0.884123,0.884123] area_under_roc_curve 0.870845 [0.870845,0.870845] area_under_roc_curve 0.891655 [0.891655,0.891655] area_under_roc_curve 0.864389 [0.864389,0.864389] area_under_roc_curve 0.864091 [0.864091,0.864091] area_under_roc_curve 0.859043 [0.859043,0.859043] area_under_roc_curve 0.874934 [0.874934,0.874934] area_under_roc_curve 0.890991 [0.890991,0.890991] area_under_roc_curve 0.85868 [0.85868,0.85868] area_under_roc_curve 0.883677 [0.883677,0.883677] area_under_roc_curve 0.885027 [0.885027,0.885027] area_under_roc_curve 0.8644 [0.8644,0.8644] area_under_roc_curve 0.86034 [0.86034,0.86034] area_under_roc_curve 0.865591 [0.865591,0.865591] area_under_roc_curve 0.864114 [0.864114,0.864114] area_under_roc_curve 0.884673 [0.884673,0.884673] area_under_roc_curve 0.855528 [0.855528,0.855528] area_under_roc_curve 0.885869 [0.885869,0.885869] area_under_roc_curve 0.870491 [0.870491,0.870491] area_under_roc_curve 0.869663 [0.869663,0.869663] area_under_roc_curve 0.870031 [0.870031,0.870031] area_under_roc_curve 0.875598 [0.875598,0.875598] area_under_roc_curve 0.876058 [0.876058,0.876058] area_under_roc_curve 0.890217 [0.890217,0.890217] area_under_roc_curve 0.875334 [0.875334,0.875334] area_under_roc_curve 0.899338 [0.899338,0.899338] area_under_roc_curve 0.88986 [0.88986,0.88986] area_under_roc_curve 0.867616 [0.867616,0.867616] area_under_roc_curve 0.861014 [0.861014,0.861014] area_under_roc_curve 0.858231 [0.858231,0.858231] area_under_roc_curve 0.877277 [0.877277,0.877277] area_under_roc_curve 0.853653 [0.853653,0.853653] area_under_roc_curve 0.850191 [0.850191,0.850191] area_under_roc_curve 0.887974 [0.887974,0.887974] area_under_roc_curve 0.836136 [0.836136,0.836136] area_under_roc_curve 0.845981 [0.845981,0.845981] area_under_roc_curve 0.870802 [0.870802,0.870802] area_under_roc_curve 0.836032 [0.836032,0.836032] area_under_roc_curve 0.876254 [0.876254,0.876254] area_under_roc_curve 0.887042 [0.887042,0.887042] area_under_roc_curve 0.899061 [0.899061,0.899061] area_under_roc_curve 0.873988 [0.873988,0.873988] area_under_roc_curve 0.880958 [0.880958,0.880958] area_under_roc_curve 0.864418 [0.864418,0.864418] area_under_roc_curve 0.860002 [0.860002,0.860002] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.803378 [0.79397,0.812785] f_measure 0.782278 [0.780723,0.783848] f_measure 0.784289 [0.775,0.793578] f_measure 0.801418 [0.8,0.80285] f_measure 0.793786 [0.78392,0.803653] f_measure 0.798817 [0.792079,0.805556] f_measure 0.772664 [0.768856,0.776471] f_measure 0.789329 [0.784314,0.794393] f_measure 0.784669 [0.782609,0.78673] f_measure 0.79623 [0.786967,0.805492] f_measure 0.763138 [0.761446,0.764846] f_measure 0.796484 [0.791155,0.801865] f_measure 0.760733 [0.758454,0.763033] f_measure 0.849269 [0.848193,0.850356] f_measure 0.767811 [0.762836,0.772834] f_measure 0.777493 [0.775904,0.779097] f_measure 0.796633 [0.799054,0.794189] f_measure 0.765066 [0.755,0.775229] f_measure 0.788836 [0.777778,0.8] f_measure 0.770114 [0.763547,0.776744] f_measure 0.820472 [0.816626,0.824356] f_measure 0.787083 [0.787589,0.786571] f_measure 0.784659 [0.787736,0.781553] f_measure 0.787039 [0.784504,0.789598] f_measure 0.781979 [0.774194,0.789838] f_measure 0.741591 [0.73913,0.744076] f_measure 0.796535 [0.792176,0.800937] f_measure 0.775109 [0.774038,0.77619] f_measure 0.801418 [0.8,0.80285] f_measure 0.779844 [0.776699,0.783019] f_measure 0.766898 [0.751918,0.782022] f_measure 0.758175 [0.751843,0.764569] f_measure 0.810794 [0.804938,0.816705] f_measure 0.734354 [0.729927,0.738824] f_measure 0.774748 [0.766169,0.78341] f_measure 0.772473 [0.765432,0.779582] f_measure 0.751128 [0.747573,0.754717] f_measure 0.758236 [0.753056,0.763466] f_measure 0.769639 [0.757576,0.781818] f_measure 0.779874 [0.777778,0.781991] f_measure 0.782278 [0.780723,0.783848] f_measure 0.763024 [0.769231,0.756757] f_measure 0.820538 [0.818402,0.822695] f_measure 0.787078 [0.786571,0.787589] f_measure 0.758369 [0.757794,0.75895] f_measure 0.755477 [0.745,0.766055] f_measure 0.798951 [0.795122,0.802817] f_measure 0.803828 [0.804762,0.802885] f_measure 0.791634 [0.785185,0.798144] f_measure 0.818132 [0.815534,0.820755] f_measure 0.758286 [0.754258,0.762353] f_measure 0.787039 [0.784504,0.789598] f_measure 0.774965 [0.769608,0.780374] f_measure 0.810655 [0.802993,0.818391] f_measure 0.781979 [0.774194,0.789838] f_measure 0.786907 [0.781327,0.792541] f_measure 0.806181 [0.803874,0.808511] f_measure 0.791634 [0.785185,0.798144] f_measure 0.789416 [0.786408,0.792453] f_measure 0.791562 [0.784119,0.799076] f_measure 0.775109 [0.774038,0.77619] f_measure 0.791865 [0.791367,0.792363] f_measure 0.818099 [0.82243,0.813725] f_measure 0.781936 [0.773067,0.790805] f_measure 0.813397 [0.814286,0.8125] f_measure 0.796577 [0.800937,0.792176] f_measure 0.777263 [0.77037,0.784223] f_measure 0.770251 [0.765854,0.774648] f_measure 0.784541 [0.779412,0.78972] f_measure 0.772708 [0.775414,0.769976] f_measure 0.788507 [0.778894,0.798165] f_measure 0.775932 [0.760925,0.791011] f_measure 0.798526 [0.796117,0.800948] f_measure 0.772088 [0.767726,0.776471] f_measure 0.784103 [0.780488,0.787736] f_measure 0.79835 [0.792079,0.804651] f_measure 0.786571 [0.786571,0.786571] f_measure 0.800378 [0.789873,0.810934] f_measure 0.791365 [0.792363,0.790361] f_measure 0.786563 [0.785542,0.787589] f_measure 0.80331 [0.806604,0.8] f_measure 0.805632 [0.800983,0.810304] f_measure 0.769768 [0.768116,0.771429] f_measure 0.776907 [0.781176,0.772616] f_measure 0.776886 [0.772616,0.781176] f_measure 0.78886 [0.784314,0.793427] f_measure 0.771907 [0.764268,0.779582] f_measure 0.75764 [0.751843,0.763466] f_measure 0.793741 [0.796209,0.791262] f_measure 0.752938 [0.749392,0.756501] f_measure 0.771907 [0.764268,0.779582] f_measure 0.788954 [0.78744,0.790476] f_measure 0.743095 [0.734491,0.75174] f_measure 0.786236 [0.778055,0.794457] f_measure 0.803323 [0.800971,0.805687] f_measure 0.810473 [0.806846,0.814118] f_measure 0.774508 [0.770732,0.778302] f_measure 0.803344 [0.801932,0.804762] f_measure 0.786546 [0.784504,0.788599] f_measure 0.783947 [0.777228,0.790698] kappa 0.607656 kappa 0.564633 kappa 0.569378 kappa 0.602907 kappa 0.588517 kappa 0.598086 kappa 0.545455 kappa 0.579053 kappa 0.569378 kappa 0.593301 kappa 0.526359 kappa 0.593413 kappa 0.521586 kappa 0.698592 kappa 0.535991 kappa 0.555065 kappa 0.593264 kappa 0.531304 kappa 0.579169 kappa 0.540807 kappa 0.64123 kappa 0.574163 kappa 0.569329 kappa 0.574221 kappa 0.564753 kappa 0.483313 kappa 0.593395 kappa 0.55027 kappa 0.602907 kappa 0.559879 kappa 0.536182 kappa 0.516879 kappa 0.622131 kappa 0.468997 kappa 0.550414 kappa 0.5456 kappa 0.502472 kappa 0.516857 kappa 0.540912 kappa 0.559859 kappa 0.564633 kappa 0.526207 kappa 0.641198 kappa 0.574182 kappa 0.516769 kappa 0.512174 kappa 0.598169 kappa 0.607647 kappa 0.583865 kappa 0.636422 kappa 0.516835 kappa 0.574221 kappa 0.550352 kappa 0.622165 kappa 0.564753 kappa 0.57428 kappa 0.612493 kappa 0.583865 kappa 0.579015 kappa 0.583884 kappa 0.55027 kappa 0.583732 kappa 0.636289 kappa 0.564593 kappa 0.626786 kappa 0.593227 kappa 0.555166 kappa 0.54067 kappa 0.569486 kappa 0.545413 kappa 0.578032 kappa 0.554103 kappa 0.597148 kappa 0.544409 kappa 0.568383 kappa 0.597185 kappa 0.573144 kappa 0.602021 kappa 0.582727 kappa 0.573154 kappa 0.606685 kappa 0.611558 kappa 0.539587 kappa 0.553918 kappa 0.554 kappa 0.577984 kappa 0.54444 kappa 0.515646 kappa 0.587509 kappa 0.506032 kappa 0.54444 kappa 0.577955 kappa 0.486896 kappa 0.573222 kappa 0.60674 kappa 0.62114 kappa 0.5492 kappa 0.60673 kappa 0.573164 kappa 0.568412 kb_relative_information_score 203.927369 kb_relative_information_score 196.656617 kb_relative_information_score 185.408658 kb_relative_information_score 196.11971 kb_relative_information_score 192.788364 kb_relative_information_score 192.476203 kb_relative_information_score 198.081654 kb_relative_information_score 198.012286 kb_relative_information_score 198.428477 kb_relative_information_score 204.334154 kb_relative_information_score 185.441912 kb_relative_information_score 204.089023 kb_relative_information_score 172.79123 kb_relative_information_score 219.149522 kb_relative_information_score 182.935159 kb_relative_information_score 190.727185 kb_relative_information_score 202.237395 kb_relative_information_score 184.504279 kb_relative_information_score 188.418085 kb_relative_information_score 187.097011 kb_relative_information_score 224.293648 kb_relative_information_score 192.131213 kb_relative_information_score 196.205511 kb_relative_information_score 196.936417 kb_relative_information_score 193.346685 kb_relative_information_score 167.347498 kb_relative_information_score 211.363066 kb_relative_information_score 183.558124 kb_relative_information_score 203.108811 kb_relative_information_score 192.083061 kb_relative_information_score 180.257441 kb_relative_information_score 181.575831 kb_relative_information_score 208.87071 kb_relative_information_score 171.705534 kb_relative_information_score 195.090607 kb_relative_information_score 187.427225 kb_relative_information_score 177.996703 kb_relative_information_score 184.910746 kb_relative_information_score 178.09058 kb_relative_information_score 200.488302 kb_relative_information_score 183.852825 kb_relative_information_score 187.100552 kb_relative_information_score 211.46852 kb_relative_information_score 188.018866 kb_relative_information_score 186.61385 kb_relative_information_score 188.307353 kb_relative_information_score 198.168219 kb_relative_information_score 191.597101 kb_relative_information_score 197.565854 kb_relative_information_score 215.223028 kb_relative_information_score 185.39039 kb_relative_information_score 188.148366 kb_relative_information_score 193.956357 kb_relative_information_score 203.731993 kb_relative_information_score 196.791863 kb_relative_information_score 203.003412 kb_relative_information_score 198.131703 kb_relative_information_score 201.948187 kb_relative_information_score 192.922005 kb_relative_information_score 189.636118 kb_relative_information_score 186.084111 kb_relative_information_score 191.675318 kb_relative_information_score 211.106885 kb_relative_information_score 191.493666 kb_relative_information_score 206.002765 kb_relative_information_score 203.848393 kb_relative_information_score 190.887657 kb_relative_information_score 192.661295 kb_relative_information_score 192.344485 kb_relative_information_score 193.054106 kb_relative_information_score 204.507409 kb_relative_information_score 183.128648 kb_relative_information_score 201.130684 kb_relative_information_score 189.208497 kb_relative_information_score 191.072082 kb_relative_information_score 189.581924 kb_relative_information_score 190.699981 kb_relative_information_score 203.174299 kb_relative_information_score 201.365907 kb_relative_information_score 198.806027 kb_relative_information_score 211.061287 kb_relative_information_score 207.560966 kb_relative_information_score 191.782918 kb_relative_information_score 185.017938 kb_relative_information_score 190.375363 kb_relative_information_score 194.890455 kb_relative_information_score 180.41122 kb_relative_information_score 182.236844 kb_relative_information_score 200.49545 kb_relative_information_score 173.239928 kb_relative_information_score 184.855445 kb_relative_information_score 195.740804 kb_relative_information_score 178.238189 kb_relative_information_score 198.335686 kb_relative_information_score 207.985426 kb_relative_information_score 218.549336 kb_relative_information_score 195.516192 kb_relative_information_score 198.88143 kb_relative_information_score 190.260371 kb_relative_information_score 192.002932 mean_absolute_error 0.268071 mean_absolute_error 0.27599 mean_absolute_error 0.290781 mean_absolute_error 0.278853 mean_absolute_error 0.281875 mean_absolute_error 0.281568 mean_absolute_error 0.273485 mean_absolute_error 0.274975 mean_absolute_error 0.274544 mean_absolute_error 0.268173 mean_absolute_error 0.288784 mean_absolute_error 0.268631 mean_absolute_error 0.304978 mean_absolute_error 0.253073 mean_absolute_error 0.292167 mean_absolute_error 0.283829 mean_absolute_error 0.269556 mean_absolute_error 0.291341 mean_absolute_error 0.286778 mean_absolute_error 0.287475 mean_absolute_error 0.245849 mean_absolute_error 0.282591 mean_absolute_error 0.277392 mean_absolute_error 0.275693 mean_absolute_error 0.281341 mean_absolute_error 0.309921 mean_absolute_error 0.258986 mean_absolute_error 0.292698 mean_absolute_error 0.2689 mean_absolute_error 0.280927 mean_absolute_error 0.294731 mean_absolute_error 0.293791 mean_absolute_error 0.263782 mean_absolute_error 0.302878 mean_absolute_error 0.278064 mean_absolute_error 0.287591 mean_absolute_error 0.296935 mean_absolute_error 0.288784 mean_absolute_error 0.298015 mean_absolute_error 0.272007 mean_absolute_error 0.292596 mean_absolute_error 0.286724 mean_absolute_error 0.25949 mean_absolute_error 0.287703 mean_absolute_error 0.287193 mean_absolute_error 0.284681 mean_absolute_error 0.275605 mean_absolute_error 0.284994 mean_absolute_error 0.276495 mean_absolute_error 0.254634 mean_absolute_error 0.287839 mean_absolute_error 0.287435 mean_absolute_error 0.280112 mean_absolute_error 0.268886 mean_absolute_error 0.275926 mean_absolute_error 0.269633 mean_absolute_error 0.276551 mean_absolute_error 0.270949 mean_absolute_error 0.280965 mean_absolute_error 0.286007 mean_absolute_error 0.288744 mean_absolute_error 0.282809 mean_absolute_error 0.261307 mean_absolute_error 0.283159 mean_absolute_error 0.265382 mean_absolute_error 0.268468 mean_absolute_error 0.283589 mean_absolute_error 0.280351 mean_absolute_error 0.281319 mean_absolute_error 0.280684 mean_absolute_error 0.265367 mean_absolute_error 0.291714 mean_absolute_error 0.272225 mean_absolute_error 0.285303 mean_absolute_error 0.284124 mean_absolute_error 0.286057 mean_absolute_error 0.284861 mean_absolute_error 0.26905 mean_absolute_error 0.271291 mean_absolute_error 0.272841 mean_absolute_error 0.259374 mean_absolute_error 0.263541 mean_absolute_error 0.281062 mean_absolute_error 0.2906 mean_absolute_error 0.282749 mean_absolute_error 0.278388 mean_absolute_error 0.294388 mean_absolute_error 0.291246 mean_absolute_error 0.271342 mean_absolute_error 0.302399 mean_absolute_error 0.289782 mean_absolute_error 0.277141 mean_absolute_error 0.295936 mean_absolute_error 0.274111 mean_absolute_error 0.2637 mean_absolute_error 0.250579 mean_absolute_error 0.276877 mean_absolute_error 0.274626 mean_absolute_error 0.283776 mean_absolute_error 0.281875 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 number_of_instances 418 [209,209] number_of_instances 418 [210,208] number_of_instances 418 [209,209] number_of_instances 418 [210,208] number_of_instances 418 [209,209] number_of_instances 418 [209,209] number_of_instances 418 [209,209] number_of_instances 418 [210,208] number_of_instances 418 [209,209] number_of_instances 418 [209,209] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [209,209] number_of_instances 418 [210,208] number_of_instances 418 [209,209] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [209,209] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] precision 0.806636 [0.835979,0.777293] precision 0.782483 [0.790244,0.774648] precision 0.786816 [0.811518,0.762115] precision 0.801631 [0.809756,0.793427] precision 0.796978 [0.825397,0.768559] precision 0.800391 [0.820513,0.780269] precision 0.773034 [0.782178,0.763889] precision 0.790489 [0.808081,0.772727] precision 0.784793 [0.790244,0.779343] precision 0.799123 [0.826316,0.77193] precision 0.763336 [0.770732,0.755869] precision 0.797863 [0.817259,0.778281] precision 0.761013 [0.769608,0.752336] precision 0.8495 [0.858537,0.840376] precision 0.768745 [0.78392,0.753425] precision 0.777696 [0.785366,0.769953] precision 0.796698 [0.793427,0.8] precision 0.76811 [0.794737,0.741228] precision 0.793455 [0.827957,0.758621] precision 0.771627 [0.790816,0.752252] precision 0.82151 [0.839196,0.803653] precision 0.787093 [0.789474,0.784689] precision 0.784774 [0.780374,0.789216] precision 0.787438 [0.79803,0.776744] precision 0.784261 [0.80829,0.76] precision 0.741862 [0.75,0.733645] precision 0.797526 [0.81407,0.780822] precision 0.775241 [0.781553,0.768868] precision 0.801631 [0.809756,0.793427] precision 0.780355 [0.792079,0.768519] precision 0.773353 [0.812155,0.734177] precision 0.759448 [0.77665,0.742081] precision 0.812679 [0.835897,0.789238] precision 0.73494 [0.746269,0.723502] precision 0.777267 [0.802083,0.752212] precision 0.774217 [0.794872,0.753363] precision 0.75161 [0.762376,0.740741] precision 0.759152 [0.773869,0.744292] precision 0.774071 [0.806452,0.741379] precision 0.780165 [0.789216,0.771028] precision 0.782483 [0.790244,0.774648] precision 0.763598 [0.753425,0.773869] precision 0.820963 [0.832512,0.809302] precision 0.787155 [0.792271,0.781991] precision 0.758443 [0.763285,0.753555] precision 0.758457 [0.784211,0.732456] precision 0.799775 [0.815,0.784404] precision 0.803828 [0.804762,0.802885] precision 0.793448 [0.815385,0.7713] precision 0.818682 [0.831683,0.805556] precision 0.758903 [0.771144,0.746544] precision 0.787438 [0.79803,0.776744] precision 0.776091 [0.792929,0.759091] precision 0.813677 [0.842932,0.784141] precision 0.784261 [0.80829,0.76] precision 0.788259 [0.807107,0.769231] precision 0.806595 [0.817734,0.795349] precision 0.793448 [0.815385,0.7713] precision 0.789937 [0.80198,0.777778] precision 0.79389 [0.818653,0.768889] precision 0.775241 [0.781553,0.768868] precision 0.791873 [0.793269,0.790476] precision 0.818616 [0.807339,0.83] precision 0.784177 [0.807292,0.761062] precision 0.813397 [0.814286,0.8125] precision 0.796951 [0.788018,0.80597] precision 0.779025 [0.8,0.757848] precision 0.770732 [0.781095,0.760369] precision 0.785689 [0.80303,0.768182] precision 0.772768 [0.769953,0.77561] precision 0.7917 [0.820106,0.763158] precision 0.782515 [0.822222,0.742616] precision 0.798822 [0.807882,0.78972] precision 0.772714 [0.785,0.760369] precision 0.784611 [0.79602,0.773148] precision 0.799945 [0.820513,0.779279] precision 0.78658 [0.788462,0.784689] precision 0.804718 [0.83871,0.770563] precision 0.791371 [0.790476,0.792271] precision 0.786637 [0.791262,0.781991] precision 0.803595 [0.795349,0.811881] precision 0.806633 [0.823232,0.789954] precision 0.769894 [0.77561,0.764151] precision 0.777273 [0.768519,0.78607] precision 0.777518 [0.79,0.764977] precision 0.789659 [0.80402,0.775229] precision 0.773637 [0.793814,0.753363] precision 0.758544 [0.772727,0.744292] precision 0.793864 [0.788732,0.79902] precision 0.753303 [0.762376,0.744186] precision 0.773637 [0.793814,0.753363] precision 0.789085 [0.795122,0.783019] precision 0.744716 [0.762887,0.726457] precision 0.78853 [0.8125,0.764444] precision 0.803622 [0.812808,0.794393] precision 0.811151 [0.825,0.797235] precision 0.775006 [0.78607,0.763889] precision 0.803478 [0.809756,0.79717] precision 0.786748 [0.794118,0.779343] precision 0.785494 [0.805128,0.765766] predictive_accuracy 0.803828 predictive_accuracy 0.782297 predictive_accuracy 0.784689 predictive_accuracy 0.801435 predictive_accuracy 0.794258 predictive_accuracy 0.799043 predictive_accuracy 0.772727 predictive_accuracy 0.789474 predictive_accuracy 0.784689 predictive_accuracy 0.796651 predictive_accuracy 0.763158 predictive_accuracy 0.796651 predictive_accuracy 0.760766 predictive_accuracy 0.849282 predictive_accuracy 0.767943 predictive_accuracy 0.777512 predictive_accuracy 0.796651 predictive_accuracy 0.76555 predictive_accuracy 0.789474 predictive_accuracy 0.770335 predictive_accuracy 0.820574 predictive_accuracy 0.787081 predictive_accuracy 0.784689 predictive_accuracy 0.787081 predictive_accuracy 0.782297 predictive_accuracy 0.741627 predictive_accuracy 0.796651 predictive_accuracy 0.77512 predictive_accuracy 0.801435 predictive_accuracy 0.779904 predictive_accuracy 0.767943 predictive_accuracy 0.758373 predictive_accuracy 0.811005 predictive_accuracy 0.73445 predictive_accuracy 0.77512 predictive_accuracy 0.772727 predictive_accuracy 0.751196 predictive_accuracy 0.758373 predictive_accuracy 0.770335 predictive_accuracy 0.779904 predictive_accuracy 0.782297 predictive_accuracy 0.763158 predictive_accuracy 0.820574 predictive_accuracy 0.787081 predictive_accuracy 0.758373 predictive_accuracy 0.755981 predictive_accuracy 0.799043 predictive_accuracy 0.803828 predictive_accuracy 0.791866 predictive_accuracy 0.818182 predictive_accuracy 0.758373 predictive_accuracy 0.787081 predictive_accuracy 0.77512 predictive_accuracy 0.811005 predictive_accuracy 0.782297 predictive_accuracy 0.787081 predictive_accuracy 0.80622 predictive_accuracy 0.791866 predictive_accuracy 0.789474 predictive_accuracy 0.791866 predictive_accuracy 0.77512 predictive_accuracy 0.791866 predictive_accuracy 0.818182 predictive_accuracy 0.782297 predictive_accuracy 0.813397 predictive_accuracy 0.796651 predictive_accuracy 0.777512 predictive_accuracy 0.770335 predictive_accuracy 0.784689 predictive_accuracy 0.772727 predictive_accuracy 0.788969 predictive_accuracy 0.776978 predictive_accuracy 0.798561 predictive_accuracy 0.772182 predictive_accuracy 0.784173 predictive_accuracy 0.798561 predictive_accuracy 0.786571 predictive_accuracy 0.800959 predictive_accuracy 0.791367 predictive_accuracy 0.786571 predictive_accuracy 0.803357 predictive_accuracy 0.805755 predictive_accuracy 0.769784 predictive_accuracy 0.776978 predictive_accuracy 0.776978 predictive_accuracy 0.788969 predictive_accuracy 0.772182 predictive_accuracy 0.757794 predictive_accuracy 0.793765 predictive_accuracy 0.752998 predictive_accuracy 0.772182 predictive_accuracy 0.788969 predictive_accuracy 0.743405 predictive_accuracy 0.786571 predictive_accuracy 0.803357 predictive_accuracy 0.810552 predictive_accuracy 0.77458 predictive_accuracy 0.803357 predictive_accuracy 0.786571 predictive_accuracy 0.784173 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 recall 0.803828 [0.755981,0.851675] recall 0.782297 [0.771429,0.793269] recall 0.784689 [0.741627,0.827751] recall 0.801435 [0.790476,0.8125] recall 0.794258 [0.746411,0.842105] recall 0.799043 [0.76555,0.832536] recall 0.772727 [0.755981,0.789474] recall 0.789474 [0.761905,0.817308] recall 0.784689 [0.77512,0.794258] recall 0.796651 [0.751196,0.842105] recall 0.763158 [0.752381,0.774038] recall 0.796651 [0.766667,0.826923] recall 0.760766 [0.747619,0.774038] recall 0.849282 [0.838095,0.860577] recall 0.767943 [0.742857,0.793269] recall 0.777512 [0.766667,0.788462] recall 0.796651 [0.804762,0.788462] recall 0.76555 [0.719048,0.8125] recall 0.789474 [0.733333,0.846154] recall 0.770335 [0.738095,0.802885] recall 0.820574 [0.795238,0.846154] recall 0.787081 [0.785714,0.788462] recall 0.784689 [0.795238,0.774038] recall 0.787081 [0.771429,0.802885] recall 0.782297 [0.742857,0.822115] recall 0.741627 [0.728571,0.754808] recall 0.796651 [0.771429,0.822115] recall 0.77512 [0.766667,0.783654] recall 0.801435 [0.790476,0.8125] recall 0.779904 [0.761905,0.798077] recall 0.767943 [0.7,0.836538] recall 0.758373 [0.728571,0.788462] recall 0.811005 [0.77619,0.846154] recall 0.73445 [0.714286,0.754808] recall 0.77512 [0.733333,0.817308] recall 0.772727 [0.738095,0.807692] recall 0.751196 [0.733333,0.769231] recall 0.758373 [0.733333,0.783654] recall 0.770335 [0.714286,0.826923] recall 0.779904 [0.766667,0.793269] recall 0.782297 [0.771429,0.793269] recall 0.763158 [0.785714,0.740385] recall 0.820574 [0.804762,0.836538] recall 0.787081 [0.780952,0.793269] recall 0.758373 [0.752381,0.764423] recall 0.755981 [0.709524,0.802885] recall 0.799043 [0.77619,0.822115] recall 0.803828 [0.804762,0.802885] recall 0.791866 [0.757143,0.826923] recall 0.818182 [0.8,0.836538] recall 0.758373 [0.738095,0.778846] recall 0.787081 [0.771429,0.802885] recall 0.77512 [0.747619,0.802885] recall 0.811005 [0.766667,0.855769] recall 0.782297 [0.742857,0.822115] recall 0.787081 [0.757143,0.817308] recall 0.80622 [0.790476,0.822115] recall 0.791866 [0.757143,0.826923] recall 0.789474 [0.771429,0.807692] recall 0.791866 [0.752381,0.831731] recall 0.77512 [0.766667,0.783654] recall 0.791866 [0.789474,0.794258] recall 0.818182 [0.838095,0.798077] recall 0.782297 [0.741627,0.822967] recall 0.813397 [0.814286,0.8125] recall 0.796651 [0.814286,0.778846] recall 0.777512 [0.742857,0.8125] recall 0.770335 [0.751196,0.789474] recall 0.784689 [0.757143,0.8125] recall 0.772727 [0.780952,0.764423] recall 0.788969 [0.741627,0.836538] recall 0.776978 [0.708134,0.846154] recall 0.798561 [0.784689,0.8125] recall 0.772182 [0.751196,0.793269] recall 0.784173 [0.76555,0.802885] recall 0.798561 [0.76555,0.831731] recall 0.786571 [0.784689,0.788462] recall 0.800959 [0.746411,0.855769] recall 0.791367 [0.794258,0.788462] recall 0.786571 [0.779904,0.793269] recall 0.803357 [0.818182,0.788462] recall 0.805755 [0.779904,0.831731] recall 0.769784 [0.760766,0.778846] recall 0.776978 [0.794258,0.759615] recall 0.776978 [0.755981,0.798077] recall 0.788969 [0.76555,0.8125] recall 0.772182 [0.736842,0.807692] recall 0.757794 [0.732057,0.783654] recall 0.793765 [0.803828,0.783654] recall 0.752998 [0.736842,0.769231] recall 0.772182 [0.736842,0.807692] recall 0.788969 [0.779904,0.798077] recall 0.743405 [0.708134,0.778846] recall 0.786571 [0.746411,0.826923] recall 0.803357 [0.789474,0.817308] recall 0.810552 [0.789474,0.831731] recall 0.77458 [0.755981,0.793269] recall 0.803357 [0.794258,0.8125] recall 0.786571 [0.77512,0.798077] recall 0.784173 [0.751196,0.817308] relative_absolute_error 0.536142 relative_absolute_error 0.55199 relative_absolute_error 0.581562 relative_absolute_error 0.557716 relative_absolute_error 0.56375 relative_absolute_error 0.563136 relative_absolute_error 0.54697 relative_absolute_error 0.54996 relative_absolute_error 0.549088 relative_absolute_error 0.536346 relative_absolute_error 0.577577 relative_absolute_error 0.53727 relative_absolute_error 0.609966 relative_absolute_error 0.506155 relative_absolute_error 0.584344 relative_absolute_error 0.567667 relative_absolute_error 0.539122 relative_absolute_error 0.582693 relative_absolute_error 0.573566 relative_absolute_error 0.57496 relative_absolute_error 0.491707 relative_absolute_error 0.565191 relative_absolute_error 0.554793 relative_absolute_error 0.551396 relative_absolute_error 0.562691 relative_absolute_error 0.619852 relative_absolute_error 0.517981 relative_absolute_error 0.585405 relative_absolute_error 0.537809 relative_absolute_error 0.561864 relative_absolute_error 0.589472 relative_absolute_error 0.587592 relative_absolute_error 0.527573 relative_absolute_error 0.605766 relative_absolute_error 0.556137 relative_absolute_error 0.575193 relative_absolute_error 0.593881 relative_absolute_error 0.577579 relative_absolute_error 0.59604 relative_absolute_error 0.544024 relative_absolute_error 0.585203 relative_absolute_error 0.573458 relative_absolute_error 0.518989 relative_absolute_error 0.575416 relative_absolute_error 0.574396 relative_absolute_error 0.569372 relative_absolute_error 0.551219 relative_absolute_error 0.569998 relative_absolute_error 0.552999 relative_absolute_error 0.509277 relative_absolute_error 0.575689 relative_absolute_error 0.574879 relative_absolute_error 0.560234 relative_absolute_error 0.537782 relative_absolute_error 0.551861 relative_absolute_error 0.539275 relative_absolute_error 0.553111 relative_absolute_error 0.541908 relative_absolute_error 0.561939 relative_absolute_error 0.572025 relative_absolute_error 0.577498 relative_absolute_error 0.565618 relative_absolute_error 0.522624 relative_absolute_error 0.566317 relative_absolute_error 0.530774 relative_absolute_error 0.536945 relative_absolute_error 0.567187 relative_absolute_error 0.560703 relative_absolute_error 0.562648 relative_absolute_error 0.561378 relative_absolute_error 0.530738 relative_absolute_error 0.583433 relative_absolute_error 0.544456 relative_absolute_error 0.57061 relative_absolute_error 0.568253 relative_absolute_error 0.57212 relative_absolute_error 0.569728 relative_absolute_error 0.538105 relative_absolute_error 0.542587 relative_absolute_error 0.545688 relative_absolute_error 0.518753 relative_absolute_error 0.527086 relative_absolute_error 0.562129 relative_absolute_error 0.581204 relative_absolute_error 0.565503 relative_absolute_error 0.556781 relative_absolute_error 0.588781 relative_absolute_error 0.582498 relative_absolute_error 0.542688 relative_absolute_error 0.604803 relative_absolute_error 0.57957 relative_absolute_error 0.554286 relative_absolute_error 0.591877 relative_absolute_error 0.548226 relative_absolute_error 0.527404 relative_absolute_error 0.501163 relative_absolute_error 0.553759 relative_absolute_error 0.549258 relative_absolute_error 0.567556 relative_absolute_error 0.563754 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_squared_error 0.370241 root_mean_squared_error 0.382123 root_mean_squared_error 0.391955 root_mean_squared_error 0.379032 root_mean_squared_error 0.381957 root_mean_squared_error 0.383107 root_mean_squared_error 0.382686 root_mean_squared_error 0.384808 root_mean_squared_error 0.377434 root_mean_squared_error 0.367063 root_mean_squared_error 0.394385 root_mean_squared_error 0.377073 root_mean_squared_error 0.40646 root_mean_squared_error 0.350221 root_mean_squared_error 0.398944 root_mean_squared_error 0.386612 root_mean_squared_error 0.375158 root_mean_squared_error 0.393965 root_mean_squared_error 0.393011 root_mean_squared_error 0.394464 root_mean_squared_error 0.348016 root_mean_squared_error 0.379758 root_mean_squared_error 0.377503 root_mean_squared_error 0.382665 root_mean_squared_error 0.381614 root_mean_squared_error 0.420711 root_mean_squared_error 0.364855 root_mean_squared_error 0.389673 root_mean_squared_error 0.375789 root_mean_squared_error 0.382971 root_mean_squared_error 0.403182 root_mean_squared_error 0.394734 root_mean_squared_error 0.361296 root_mean_squared_error 0.413347 root_mean_squared_error 0.381608 root_mean_squared_error 0.390502 root_mean_squared_error 0.412984 root_mean_squared_error 0.399624 root_mean_squared_error 0.40698 root_mean_squared_error 0.374734 root_mean_squared_error 0.396839 root_mean_squared_error 0.391757 root_mean_squared_error 0.367049 root_mean_squared_error 0.388267 root_mean_squared_error 0.39728 root_mean_squared_error 0.396667 root_mean_squared_error 0.377206 root_mean_squared_error 0.381932 root_mean_squared_error 0.382054 root_mean_squared_error 0.356417 root_mean_squared_error 0.396333 root_mean_squared_error 0.387862 root_mean_squared_error 0.383892 root_mean_squared_error 0.376419 root_mean_squared_error 0.37898 root_mean_squared_error 0.3707 root_mean_squared_error 0.380886 root_mean_squared_error 0.364952 root_mean_squared_error 0.387295 root_mean_squared_error 0.387244 root_mean_squared_error 0.391771 root_mean_squared_error 0.379817 root_mean_squared_error 0.36296 root_mean_squared_error 0.392455 root_mean_squared_error 0.372628 root_mean_squared_error 0.372781 root_mean_squared_error 0.384999 root_mean_squared_error 0.394797 root_mean_squared_error 0.386197 root_mean_squared_error 0.390093 root_mean_squared_error 0.375384 root_mean_squared_error 0.39392 root_mean_squared_error 0.370223 root_mean_squared_error 0.383838 root_mean_squared_error 0.381267 root_mean_squared_error 0.382273 root_mean_squared_error 0.379432 root_mean_squared_error 0.374607 root_mean_squared_error 0.366289 root_mean_squared_error 0.381787 root_mean_squared_error 0.359339 root_mean_squared_error 0.365084 root_mean_squared_error 0.386352 root_mean_squared_error 0.390333 root_mean_squared_error 0.393141 root_mean_squared_error 0.379018 root_mean_squared_error 0.398943 root_mean_squared_error 0.399888 root_mean_squared_error 0.369795 root_mean_squared_error 0.411508 root_mean_squared_error 0.399903 root_mean_squared_error 0.383355 root_mean_squared_error 0.410068 root_mean_squared_error 0.379386 root_mean_squared_error 0.368575 root_mean_squared_error 0.357893 root_mean_squared_error 0.380105 root_mean_squared_error 0.373603 root_mean_squared_error 0.388019 root_mean_squared_error 0.391089 root_relative_squared_error 0.740476 root_relative_squared_error 0.764254 root_relative_squared_error 0.783906 root_relative_squared_error 0.758072 root_relative_squared_error 0.763909 root_relative_squared_error 0.766209 root_relative_squared_error 0.765366 root_relative_squared_error 0.769624 root_relative_squared_error 0.754863 root_relative_squared_error 0.73412 root_relative_squared_error 0.788779 root_relative_squared_error 0.754154 root_relative_squared_error 0.812929 root_relative_squared_error 0.70045 root_relative_squared_error 0.797896 root_relative_squared_error 0.773232 root_relative_squared_error 0.750324 root_relative_squared_error 0.787938 root_relative_squared_error 0.78603 root_relative_squared_error 0.788937 root_relative_squared_error 0.696039 root_relative_squared_error 0.759524 root_relative_squared_error 0.755013 root_relative_squared_error 0.765338 root_relative_squared_error 0.763236 root_relative_squared_error 0.841431 root_relative_squared_error 0.729717 root_relative_squared_error 0.779355 root_relative_squared_error 0.751587 root_relative_squared_error 0.765951 root_relative_squared_error 0.806372 root_relative_squared_error 0.789477 root_relative_squared_error 0.722599 root_relative_squared_error 0.826703 root_relative_squared_error 0.763225 root_relative_squared_error 0.781012 root_relative_squared_error 0.825976 root_relative_squared_error 0.799257 root_relative_squared_error 0.813969 root_relative_squared_error 0.749476 root_relative_squared_error 0.793687 root_relative_squared_error 0.783523 root_relative_squared_error 0.734105 root_relative_squared_error 0.776541 root_relative_squared_error 0.794569 root_relative_squared_error 0.793342 root_relative_squared_error 0.754421 root_relative_squared_error 0.763872 root_relative_squared_error 0.764116 root_relative_squared_error 0.712841 root_relative_squared_error 0.792675 root_relative_squared_error 0.775732 root_relative_squared_error 0.767792 root_relative_squared_error 0.752847 root_relative_squared_error 0.757967 root_relative_squared_error 0.741408 root_relative_squared_error 0.761781 root_relative_squared_error 0.729912 root_relative_squared_error 0.774597 root_relative_squared_error 0.774495 root_relative_squared_error 0.78355 root_relative_squared_error 0.759629 root_relative_squared_error 0.725928 root_relative_squared_error 0.784905 root_relative_squared_error 0.745264 root_relative_squared_error 0.745571 root_relative_squared_error 0.770006 root_relative_squared_error 0.78959 root_relative_squared_error 0.772402 root_relative_squared_error 0.780194 root_relative_squared_error 0.750769 root_relative_squared_error 0.787841 root_relative_squared_error 0.740448 root_relative_squared_error 0.767678 root_relative_squared_error 0.762535 root_relative_squared_error 0.764548 root_relative_squared_error 0.758867 root_relative_squared_error 0.749215 root_relative_squared_error 0.73258 root_relative_squared_error 0.763575 root_relative_squared_error 0.718679 root_relative_squared_error 0.73017 root_relative_squared_error 0.772706 root_relative_squared_error 0.780668 root_relative_squared_error 0.786284 root_relative_squared_error 0.758038 root_relative_squared_error 0.797887 root_relative_squared_error 0.799778 root_relative_squared_error 0.739592 root_relative_squared_error 0.823017 root_relative_squared_error 0.799808 root_relative_squared_error 0.766713 root_relative_squared_error 0.820138 root_relative_squared_error 0.758773 root_relative_squared_error 0.737151 root_relative_squared_error 0.715787 root_relative_squared_error 0.760211 root_relative_squared_error 0.747207 root_relative_squared_error 0.776039 root_relative_squared_error 0.782179 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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 290 usercpu_time_millis 300 usercpu_time_millis 300 usercpu_time_millis 300 usercpu_time_millis 290 usercpu_time_millis 300 usercpu_time_millis 290 usercpu_time_millis 300 usercpu_time_millis 290 usercpu_time_millis 300 usercpu_time_millis 290 usercpu_time_millis 300 usercpu_time_millis 300 usercpu_time_millis 300 usercpu_time_millis 290 usercpu_time_millis 290 usercpu_time_millis 290 usercpu_time_millis 300 usercpu_time_millis 280 usercpu_time_millis 300 usercpu_time_millis 290 usercpu_time_millis 300 usercpu_time_millis 300 usercpu_time_millis 300 usercpu_time_millis 290 usercpu_time_millis 290 usercpu_time_millis 290 usercpu_time_millis 290 usercpu_time_millis 290 usercpu_time_millis 290 usercpu_time_millis 290 usercpu_time_millis 290 usercpu_time_millis 300 usercpu_time_millis 300 usercpu_time_millis 300 usercpu_time_millis 290 usercpu_time_millis 290 usercpu_time_millis 290 usercpu_time_millis 290 usercpu_time_millis 300 usercpu_time_millis 290 usercpu_time_millis 300 usercpu_time_millis 290 usercpu_time_millis 290 usercpu_time_millis 290 usercpu_time_millis 290 usercpu_time_millis 290 usercpu_time_millis 300 usercpu_time_millis 290 usercpu_time_millis 300 usercpu_time_millis 290 usercpu_time_millis 300 usercpu_time_millis 300 usercpu_time_millis 290 usercpu_time_millis 290 usercpu_time_millis 290 usercpu_time_millis 290 usercpu_time_millis 290 usercpu_time_millis 290 usercpu_time_millis 290 usercpu_time_millis 290 usercpu_time_millis 300 usercpu_time_millis 290 usercpu_time_millis 290 usercpu_time_millis 290 usercpu_time_millis 290 usercpu_time_millis 300 usercpu_time_millis 300 usercpu_time_millis 300 usercpu_time_millis 290 usercpu_time_millis 290 usercpu_time_millis 290 usercpu_time_millis 290 usercpu_time_millis 290 usercpu_time_millis 300 usercpu_time_millis 300 usercpu_time_millis 300 usercpu_time_millis 290 usercpu_time_millis 300 usercpu_time_millis 290 usercpu_time_millis 290 usercpu_time_millis 290 usercpu_time_millis 290 usercpu_time_millis 300 usercpu_time_millis 290 usercpu_time_millis 290 usercpu_time_millis 300 usercpu_time_millis 300 usercpu_time_millis 300 usercpu_time_millis 290 usercpu_time_millis 290 usercpu_time_millis 300 usercpu_time_millis 290 usercpu_time_millis 300 usercpu_time_millis 290 usercpu_time_millis 290 usercpu_time_millis 290 usercpu_time_millis 290 usercpu_time_millis 290 usercpu_time_millis 290 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 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