274250 2 Joaquin Vanschoren 4653 Supervised Classification predictive_accuracy 1090 weka.DecisionStump(4) 1860 weka.classifiers.trees.DecisionStump weka weka_3.7.12 1114 KDDCup09_upselling https://www.openml.org/data/download/53997/KDDCup09_upselling.arff -1 919006 description https://api.openml.org/data/download/919006/weka_generated_run7084106201763307690.xml -1 919009 model_readable https://api.openml.org/data/download/919009/WekaModel_weka.classifiers.trees.DecisionStump5714861082492307524.model -1 919008 model_serialized https://api.openml.org/data/download/919008/WekaSerialized_weka.classifiers.trees.DecisionStump3739115632123941295.model -1 919007 predictions https://api.openml.org/data/download/919007/weka_generated_predictions6545728919108949179.arff area_under_roc_curve 0.765467 [0.765467,0.765467] average_cost 0 f_measure 0.935029 [0.966685,0.536811] kappa 0.503834 kb_relative_information_score 104658.558246 mean_absolute_error 0.101073 mean_prior_absolute_error 0.136449 number_of_instances 500000 [463180,36820] os_information [Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic] precision 0.933064 [0.959955,0.594782] predictive_accuracy 0.93784 prior_entropy 0.379425 recall 0.93784 [0.973509,0.489136] relative_absolute_error 0.740742 root_mean_prior_squared_error 0.261184 root_mean_squared_error 0.224816 root_relative_squared_error 0.860756 scimark_benchmark 1371.964463 [814.3046117978852, 955.5938565064722, 518.4654254897563, 1071.7252222829154, 3499.733201165452] total_cost 0 usercpu_time_millis 2410 usercpu_time_millis_testing 50 usercpu_time_millis_training 2360 area_under_roc_curve 0.782164 [0.782164,0.782164] area_under_roc_curve 0.758611 [0.758611,0.758611] area_under_roc_curve 0.790212 [0.790212,0.790212] area_under_roc_curve 0.764603 [0.764603,0.764603] area_under_roc_curve 0.766633 [0.766633,0.766633] area_under_roc_curve 0.778016 [0.778016,0.778016] area_under_roc_curve 0.77742 [0.77742,0.77742] area_under_roc_curve 0.755888 [0.755888,0.755888] area_under_roc_curve 0.787413 [0.787413,0.787413] area_under_roc_curve 0.75824 [0.75824,0.75824] area_under_roc_curve 0.787186 [0.787186,0.787186] area_under_roc_curve 0.76346 [0.76346,0.76346] area_under_roc_curve 0.775049 [0.775049,0.775049] area_under_roc_curve 0.761848 [0.761848,0.761848] area_under_roc_curve 0.769683 [0.769683,0.769683] area_under_roc_curve 0.761331 [0.761331,0.761331] area_under_roc_curve 0.771538 [0.771538,0.771538] area_under_roc_curve 0.76227 [0.76227,0.76227] area_under_roc_curve 0.775453 [0.775453,0.775453] area_under_roc_curve 0.777099 [0.777099,0.777099] area_under_roc_curve 0.768054 [0.768054,0.768054] area_under_roc_curve 0.781932 [0.781932,0.781932] area_under_roc_curve 0.754001 [0.754001,0.754001] area_under_roc_curve 0.780761 [0.780761,0.780761] area_under_roc_curve 0.760283 [0.760283,0.760283] area_under_roc_curve 0.77956 [0.77956,0.77956] area_under_roc_curve 0.777568 [0.777568,0.777568] area_under_roc_curve 0.786875 [0.786875,0.786875] area_under_roc_curve 0.767686 [0.767686,0.767686] area_under_roc_curve 0.768314 [0.768314,0.768314] area_under_roc_curve 0.765246 [0.765246,0.765246] area_under_roc_curve 0.773086 [0.773086,0.773086] area_under_roc_curve 0.769285 [0.769285,0.769285] area_under_roc_curve 0.786872 [0.786872,0.786872] area_under_roc_curve 0.763108 [0.763108,0.763108] area_under_roc_curve 0.783158 [0.783158,0.783158] area_under_roc_curve 0.75134 [0.75134,0.75134] area_under_roc_curve 0.78212 [0.78212,0.78212] area_under_roc_curve 0.78845 [0.78845,0.78845] area_under_roc_curve 0.771093 [0.771093,0.771093] area_under_roc_curve 0.779272 [0.779272,0.779272] area_under_roc_curve 0.786741 [0.786741,0.786741] area_under_roc_curve 0.789209 [0.789209,0.789209] area_under_roc_curve 0.783615 [0.783615,0.783615] area_under_roc_curve 0.798938 [0.798938,0.798938] area_under_roc_curve 0.757075 [0.757075,0.757075] area_under_roc_curve 0.770898 [0.770898,0.770898] area_under_roc_curve 0.740138 [0.740138,0.740138] area_under_roc_curve 0.797114 [0.797114,0.797114] area_under_roc_curve 0.796413 [0.796413,0.796413] area_under_roc_curve 0.774377 [0.774377,0.774377] area_under_roc_curve 0.754961 [0.754961,0.754961] area_under_roc_curve 0.776606 [0.776606,0.776606] area_under_roc_curve 0.768559 [0.768559,0.768559] area_under_roc_curve 0.76179 [0.76179,0.76179] area_under_roc_curve 0.774694 [0.774694,0.774694] area_under_roc_curve 0.782102 [0.782102,0.782102] area_under_roc_curve 0.790287 [0.790287,0.790287] area_under_roc_curve 0.757749 [0.757749,0.757749] area_under_roc_curve 0.789737 [0.789737,0.789737] area_under_roc_curve 0.747022 [0.747022,0.747022] area_under_roc_curve 0.76852 [0.76852,0.76852] area_under_roc_curve 0.774346 [0.774346,0.774346] area_under_roc_curve 0.756556 [0.756556,0.756556] area_under_roc_curve 0.780468 [0.780468,0.780468] area_under_roc_curve 0.773244 [0.773244,0.773244] area_under_roc_curve 0.768967 [0.768967,0.768967] area_under_roc_curve 0.764272 [0.764272,0.764272] area_under_roc_curve 0.737599 [0.737599,0.737599] area_under_roc_curve 0.747324 [0.747324,0.747324] area_under_roc_curve 0.777238 [0.777238,0.777238] area_under_roc_curve 0.766614 [0.766614,0.766614] area_under_roc_curve 0.762766 [0.762766,0.762766] area_under_roc_curve 0.767604 [0.767604,0.767604] area_under_roc_curve 0.773973 [0.773973,0.773973] area_under_roc_curve 0.761882 [0.761882,0.761882] area_under_roc_curve 0.778258 [0.778258,0.778258] area_under_roc_curve 0.787586 [0.787586,0.787586] area_under_roc_curve 0.765994 [0.765994,0.765994] area_under_roc_curve 0.785868 [0.785868,0.785868] area_under_roc_curve 0.763724 [0.763724,0.763724] area_under_roc_curve 0.770845 [0.770845,0.770845] area_under_roc_curve 0.77362 [0.77362,0.77362] area_under_roc_curve 0.771054 [0.771054,0.771054] area_under_roc_curve 0.767742 [0.767742,0.767742] area_under_roc_curve 0.79792 [0.79792,0.79792] area_under_roc_curve 0.753733 [0.753733,0.753733] area_under_roc_curve 0.763976 [0.763976,0.763976] area_under_roc_curve 0.763142 [0.763142,0.763142] area_under_roc_curve 0.757481 [0.757481,0.757481] area_under_roc_curve 0.774598 [0.774598,0.774598] area_under_roc_curve 0.794177 [0.794177,0.794177] area_under_roc_curve 0.754197 [0.754197,0.754197] area_under_roc_curve 0.77769 [0.77769,0.77769] area_under_roc_curve 0.776152 [0.776152,0.776152] area_under_roc_curve 0.751995 [0.751995,0.751995] area_under_roc_curve 0.78699 [0.78699,0.78699] area_under_roc_curve 0.785128 [0.785128,0.785128] area_under_roc_curve 0.778665 [0.778665,0.778665] area_under_roc_curve 0.767574 [0.767574,0.767574] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.937235 [0.96797,0.550376] f_measure 0.934586 [0.966449,0.533532] f_measure 0.939513 [0.969028,0.568012] f_measure 0.936013 [0.967569,0.538813] f_measure 0.935541 [0.966745,0.542773] f_measure 0.936368 [0.967666,0.542424] f_measure 0.935013 [0.966656,0.53789] f_measure 0.933974 [0.966249,0.527736] f_measure 0.937507 [0.967208,0.563662] f_measure 0.933056 [0.966071,0.517504] f_measure 0.93503 [0.966043,0.544669] f_measure 0.936009 [0.967935,0.534161] f_measure 0.931084 [0.964623,0.508929] f_measure 0.933519 [0.965421,0.531977] f_measure 0.932852 [0.966085,0.514548] f_measure 0.93728 [0.968211,0.547945] f_measure 0.931049 [0.964125,0.515942] f_measure 0.932816 [0.965599,0.520179] f_measure 0.935489 [0.966995,0.538922] f_measure 0.935818 [0.967583,0.535988] f_measure 0.934555 [0.966574,0.531532] f_measure 0.933067 [0.964961,0.531609] f_measure 0.935719 [0.96759,0.534562] f_measure 0.935955 [0.96634,0.553495] f_measure 0.938289 [0.96875,0.554878] f_measure 0.936014 [0.966584,0.551227] f_measure 0.935262 [0.966273,0.544928] f_measure 0.93811 [0.96815,0.56] f_measure 0.935295 [0.967376,0.53149] f_measure 0.935428 [0.967245,0.534954] f_measure 0.934185 [0.965739,0.53701] f_measure 0.93089 [0.964882,0.50303] f_measure 0.932517 [0.965621,0.515837] f_measure 0.93553 [0.966251,0.548851] f_measure 0.931581 [0.965443,0.50536] f_measure 0.936768 [0.967514,0.549777] f_measure 0.93209 [0.964792,0.520468] f_measure 0.936665 [0.968011,0.542113] f_measure 0.937839 [0.968171,0.556054] f_measure 0.933686 [0.965902,0.52819] f_measure 0.93802 [0.968157,0.558692] f_measure 0.936911 [0.967132,0.556522] f_measure 0.942778 [0.970626,0.592262] f_measure 0.936531 [0.967776,0.543247] f_measure 0.936676 [0.967521,0.548435] f_measure 0.934038 [0.965998,0.531758] f_measure 0.933392 [0.966535,0.516229] f_measure 0.930941 [0.965488,0.4961] f_measure 0.93623 [0.966939,0.549708] f_measure 0.938628 [0.968234,0.565982] f_measure 0.932914 [0.965591,0.52161] f_measure 0.933657 [0.966638,0.518519] f_measure 0.935298 [0.967009,0.536145] f_measure 0.934608 [0.967059,0.526154] f_measure 0.931835 [0.965303,0.510574] f_measure 0.935976 [0.967327,0.541353] f_measure 0.937491 [0.968074,0.552553] f_measure 0.93553 [0.966251,0.548851] f_measure 0.93147 [0.965207,0.506829] f_measure 0.938184 [0.968268,0.559524] f_measure 0.933538 [0.966403,0.519878] f_measure 0.937512 [0.967949,0.554396] f_measure 0.930884 [0.964021,0.513788] f_measure 0.936955 [0.96872,0.537125] f_measure 0.934117 [0.965621,0.537572] f_measure 0.932567 [0.965125,0.522761] f_measure 0.936558 [0.967652,0.545181] f_measure 0.934716 [0.966685,0.532331] f_measure 0.928419 [0.964324,0.476489] f_measure 0.933395 [0.965924,0.523952] f_measure 0.935746 [0.967099,0.541106] f_measure 0.933056 [0.966071,0.517504] f_measure 0.931422 [0.965333,0.504587] f_measure 0.935541 [0.966745,0.542773] f_measure 0.935048 [0.965918,0.546495] f_measure 0.934937 [0.966545,0.537092] f_measure 0.936953 [0.967991,0.546282] f_measure 0.93744 [0.967832,0.554896] f_measure 0.938218 [0.968633,0.555387] f_measure 0.93642 [0.967417,0.546269] f_measure 0.934919 [0.967031,0.531915] f_measure 0.937905 [0.967666,0.564399] f_measure 0.939698 [0.969008,0.571852] f_measure 0.931266 [0.964971,0.508271] f_measure 0.934338 [0.966338,0.532738] f_measure 0.938521 [0.968482,0.5625] f_measure 0.932212 [0.965643,0.511416] f_measure 0.931586 [0.964577,0.517544] f_measure 0.932352 [0.964888,0.524017] f_measure 0.933374 [0.965673,0.528024] f_measure 0.934081 [0.966234,0.530551] f_measure 0.936471 [0.96716,0.55132] f_measure 0.931365 [0.963975,0.522111] f_measure 0.934234 [0.965976,0.535871] f_measure 0.939863 [0.969119,0.5727] f_measure 0.927735 [0.963391,0.480243] f_measure 0.940201 [0.969099,0.576471] f_measure 0.938307 [0.968005,0.565598] f_measure 0.937092 [0.967111,0.560345] f_measure 0.932251 [0.964524,0.527221] kappa 0.518737 kappa 0.500318 kappa 0.537373 kappa 0.506883 kappa 0.509779 kappa 0.510549 kappa 0.504879 kappa 0.494372 kappa 0.530969 kappa 0.484099 kappa 0.510846 kappa 0.502795 kappa 0.473895 kappa 0.497578 kappa 0.481219 kappa 0.516648 kappa 0.480253 kappa 0.486147 kappa 0.506284 kappa 0.504131 kappa 0.498501 kappa 0.496695 kappa 0.502743 kappa 0.519926 kappa 0.524125 kappa 0.517949 kappa 0.511361 kappa 0.528429 kappa 0.49946 kappa 0.502691 kappa 0.502921 kappa 0.468411 kappa 0.481904 kappa 0.515221 kappa 0.4714 kappa 0.517596 kappa 0.485478 kappa 0.510677 kappa 0.524566 kappa 0.494401 kappa 0.527148 kappa 0.523811 kappa 0.563173 kappa 0.511494 kappa 0.516282 kappa 0.498033 kappa 0.48344 kappa 0.462396 kappa 0.516851 kappa 0.53443 kappa 0.487547 kappa 0.485814 kappa 0.503569 kappa 0.493829 kappa 0.476341 kappa 0.509079 kappa 0.521004 kappa 0.515221 kappa 0.472544 kappa 0.5281 kappa 0.486845 kappa 0.522668 kappa 0.477989 kappa 0.506727 kappa 0.503343 kappa 0.48813 kappa 0.51324 kappa 0.499422 kappa 0.441711 kappa 0.490254 kappa 0.508558 kappa 0.484099 kappa 0.470502 kappa 0.509779 kappa 0.512515 kappa 0.50394 kappa 0.51474 kappa 0.52302 kappa 0.524478 kappa 0.514024 kappa 0.499467 kappa 0.532226 kappa 0.541149 kappa 0.473693 kappa 0.499424 kappa 0.531308 kappa 0.477589 kappa 0.482358 kappa 0.489113 kappa 0.493984 kappa 0.497146 kappa 0.518717 kappa 0.486194 kappa 0.502084 kappa 0.542117 kappa 0.444213 kappa 0.545794 kappa 0.5338 kappa 0.527584 kappa 0.49187 kb_relative_information_score 1136.116188 kb_relative_information_score 1019.434957 kb_relative_information_score 1217.991231 kb_relative_information_score 1116.240534 kb_relative_information_score 1050.131043 kb_relative_information_score 1116.887041 kb_relative_information_score 1051.582369 kb_relative_information_score 1016.470014 kb_relative_information_score 1083.426019 kb_relative_information_score 995.322973 kb_relative_information_score 1004.507964 kb_relative_information_score 1133.083973 kb_relative_information_score 893.939767 kb_relative_information_score 946.778094 kb_relative_information_score 1002.954017 kb_relative_information_score 1157.372486 kb_relative_information_score 866.288195 kb_relative_information_score 963.238573 kb_relative_information_score 1069.664692 kb_relative_information_score 1111.423792 kb_relative_information_score 1036.886571 kb_relative_information_score 925.227717 kb_relative_information_score 1106.665776 kb_relative_information_score 1018.303221 kb_relative_information_score 1193.95744 kb_relative_information_score 1040.900092 kb_relative_information_score 1025.945307 kb_relative_information_score 1149.699948 kb_relative_information_score 1094.375739 kb_relative_information_score 1087.815568 kb_relative_information_score 972.850985 kb_relative_information_score 915.998798 kb_relative_information_score 970.792081 kb_relative_information_score 1016.834899 kb_relative_information_score 953.781814 kb_relative_information_score 1102.414415 kb_relative_information_score 899.352007 kb_relative_information_score 1142.635717 kb_relative_information_score 1153.868362 kb_relative_information_score 993.548936 kb_relative_information_score 1151.123484 kb_relative_information_score 1080.072805 kb_relative_information_score 1325.335018 kb_relative_information_score 1122.639512 kb_relative_information_score 1107.443433 kb_relative_information_score 989.876352 kb_relative_information_score 1037.504849 kb_relative_information_score 952.077635 kb_relative_information_score 1066.35834 kb_relative_information_score 1153.982997 kb_relative_information_score 966.409863 kb_relative_information_score 1040.341064 kb_relative_information_score 1071.537912 kb_relative_information_score 1066.761072 kb_relative_information_score 941.628032 kb_relative_information_score 1093.991575 kb_relative_information_score 1142.469376 kb_relative_information_score 1018.949215 kb_relative_information_score 929.951033 kb_relative_information_score 1159.242807 kb_relative_information_score 1022.120491 kb_relative_information_score 1133.709186 kb_relative_information_score 855.512499 kb_relative_information_score 1196.780769 kb_relative_information_score 970.055796 kb_relative_information_score 938.368334 kb_relative_information_score 1117.650242 kb_relative_information_score 1044.747361 kb_relative_information_score 876.540387 kb_relative_information_score 986.151624 kb_relative_information_score 1080.470036 kb_relative_information_score 1002.59797 kb_relative_information_score 950.7597 kb_relative_information_score 1052.547134 kb_relative_information_score 993.529448 kb_relative_information_score 1029.656939 kb_relative_information_score 1139.377108 kb_relative_information_score 1124.506233 kb_relative_information_score 1189.760354 kb_relative_information_score 1109.466842 kb_relative_information_score 1076.296638 kb_relative_information_score 1120.726908 kb_relative_information_score 1218.931232 kb_relative_information_score 929.413365 kb_relative_information_score 1022.916365 kb_relative_information_score 1185.258134 kb_relative_information_score 965.105378 kb_relative_information_score 895.63196 kb_relative_information_score 919.403343 kb_relative_information_score 979.523022 kb_relative_information_score 1020.480191 kb_relative_information_score 1094.625835 kb_relative_information_score 850.302657 kb_relative_information_score 1000.652266 kb_relative_information_score 1229.873794 kb_relative_information_score 810.858032 kb_relative_information_score 1220.250295 kb_relative_information_score 1158.950589 kb_relative_information_score 1082.929124 kb_relative_information_score 889.714976 mean_absolute_error 0.099948 mean_absolute_error 0.101696 mean_absolute_error 0.098765 mean_absolute_error 0.099768 mean_absolute_error 0.101039 mean_absolute_error 0.100034 mean_absolute_error 0.101141 mean_absolute_error 0.101258 mean_absolute_error 0.100842 mean_absolute_error 0.101734 mean_absolute_error 0.10158 mean_absolute_error 0.099798 mean_absolute_error 0.103015 mean_absolute_error 0.102705 mean_absolute_error 0.101356 mean_absolute_error 0.099456 mean_absolute_error 0.103689 mean_absolute_error 0.102173 mean_absolute_error 0.100648 mean_absolute_error 0.100015 mean_absolute_error 0.101118 mean_absolute_error 0.102622 mean_absolute_error 0.100243 mean_absolute_error 0.101763 mean_absolute_error 0.09908 mean_absolute_error 0.101215 mean_absolute_error 0.101086 mean_absolute_error 0.099854 mean_absolute_error 0.100281 mean_absolute_error 0.100319 mean_absolute_error 0.102278 mean_absolute_error 0.102494 mean_absolute_error 0.101797 mean_absolute_error 0.101547 mean_absolute_error 0.102062 mean_absolute_error 0.100471 mean_absolute_error 0.103318 mean_absolute_error 0.09962 mean_absolute_error 0.099645 mean_absolute_error 0.101536 mean_absolute_error 0.099779 mean_absolute_error 0.100717 mean_absolute_error 0.09775 mean_absolute_error 0.10004 mean_absolute_error 0.100225 mean_absolute_error 0.102006 mean_absolute_error 0.100795 mean_absolute_error 0.102137 mean_absolute_error 0.100824 mean_absolute_error 0.099936 mean_absolute_error 0.102019 mean_absolute_error 0.100938 mean_absolute_error 0.100554 mean_absolute_error 0.100789 mean_absolute_error 0.102377 mean_absolute_error 0.100304 mean_absolute_error 0.099922 mean_absolute_error 0.101443 mean_absolute_error 0.102668 mean_absolute_error 0.099668 mean_absolute_error 0.101263 mean_absolute_error 0.100063 mean_absolute_error 0.103472 mean_absolute_error 0.098643 mean_absolute_error 0.102132 mean_absolute_error 0.102252 mean_absolute_error 0.099992 mean_absolute_error 0.101015 mean_absolute_error 0.102698 mean_absolute_error 0.101896 mean_absolute_error 0.100399 mean_absolute_error 0.101373 mean_absolute_error 0.10192 mean_absolute_error 0.100918 mean_absolute_error 0.101831 mean_absolute_error 0.101478 mean_absolute_error 0.099783 mean_absolute_error 0.100241 mean_absolute_error 0.099002 mean_absolute_error 0.099826 mean_absolute_error 0.100772 mean_absolute_error 0.100595 mean_absolute_error 0.099172 mean_absolute_error 0.102578 mean_absolute_error 0.101696 mean_absolute_error 0.099414 mean_absolute_error 0.102076 mean_absolute_error 0.103388 mean_absolute_error 0.103076 mean_absolute_error 0.102111 mean_absolute_error 0.101529 mean_absolute_error 0.100453 mean_absolute_error 0.104188 mean_absolute_error 0.101939 mean_absolute_error 0.098916 mean_absolute_error 0.104112 mean_absolute_error 0.098943 mean_absolute_error 0.099561 mean_absolute_error 0.101033 mean_absolute_error 0.103686 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136585 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136585 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136585 mean_prior_absolute_error 0.136585 mean_prior_absolute_error 0.136585 mean_prior_absolute_error 0.136585 mean_prior_absolute_error 0.136585 mean_prior_absolute_error 0.136585 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136585 mean_prior_absolute_error 0.136585 mean_prior_absolute_error 0.136585 mean_prior_absolute_error 0.136585 mean_prior_absolute_error 0.136585 mean_prior_absolute_error 0.136585 mean_prior_absolute_error 0.136585 mean_prior_absolute_error 0.136585 mean_prior_absolute_error 0.136585 mean_prior_absolute_error 0.136415 mean_prior_absolute_error 0.136585 mean_prior_absolute_error 0.136585 mean_prior_absolute_error 0.136585 number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4631,369] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4631,369] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4631,369] number_of_instances 5000 [4631,369] number_of_instances 5000 [4631,369] number_of_instances 5000 [4631,369] number_of_instances 5000 [4631,369] number_of_instances 5000 [4631,369] number_of_instances 5000 [4632,368] number_of_instances 5000 [4631,369] number_of_instances 5000 [4631,369] number_of_instances 5000 [4631,369] number_of_instances 5000 [4631,369] number_of_instances 5000 [4631,369] number_of_instances 5000 [4631,369] number_of_instances 5000 [4631,369] number_of_instances 5000 [4631,369] number_of_instances 5000 [4631,369] number_of_instances 5000 [4632,368] number_of_instances 5000 [4631,369] number_of_instances 5000 [4631,369] number_of_instances 5000 [4631,369] precision 0.935308 [0.960663,0.616162] precision 0.932603 [0.959762,0.590759] precision 0.937766 [0.96212,0.631229] precision 0.933917 [0.959457,0.612457] precision 0.93374 [0.960768,0.593548] precision 0.934328 [0.959856,0.613014] precision 0.933061 [0.959966,0.595395] precision 0.931887 [0.959158,0.588629] precision 0.936275 [0.963375,0.595166] precision 0.930758 [0.957971,0.588235] precision 0.933592 [0.961703,0.579755] precision 0.93383 [0.95851,0.623188] precision 0.928937 [0.958049,0.5625] precision 0.931869 [0.96047,0.571875] precision 0.930489 [0.957582,0.589474] precision 0.935271 [0.960093,0.622837] precision 0.929315 [0.959179,0.554517] precision 0.930699 [0.958715,0.578073] precision 0.933504 [0.96,0.6] precision 0.933672 [0.959067,0.614035] precision 0.932484 [0.959379,0.59396] precision 0.931626 [0.96083,0.564024] precision 0.933551 [0.958872,0.614841] precision 0.934739 [0.962717,0.582583] precision 0.936343 [0.960526,0.631944] precision 0.93458 [0.962139,0.587692] precision 0.933725 [0.961522,0.583851] precision 0.936376 [0.961858,0.615635] precision 0.933095 [0.95866,0.611307] precision 0.933304 [0.959236,0.606897] precision 0.932585 [0.960889,0.576324] precision 0.928493 [0.957094,0.568493] precision 0.930274 [0.95813,0.579661] precision 0.934162 [0.962115,0.582317] precision 0.929125 [0.956946,0.578947] precision 0.934934 [0.961022,0.606557] precision 0.93028 [0.959436,0.563291] precision 0.934582 [0.959491,0.621053] precision 0.935999 [0.961268,0.61794] precision 0.931715 [0.959523,0.581699] precision 0.93625 [0.961661,0.616393] precision 0.935432 [0.962377,0.596273] precision 0.94124 [0.964012,0.654605] precision 0.934491 [0.959864,0.61512] precision 0.934804 [0.960826,0.607261] precision 0.932147 [0.959923,0.582524] precision 0.931012 [0.957424,0.598566] precision 0.928306 [0.955786,0.582418] precision 0.934587 [0.961571,0.594937] precision 0.937042 [0.962655,0.61465] precision 0.930842 [0.95891,0.577558] precision 0.931306 [0.957627,0.6] precision 0.933241 [0.959609,0.601351] precision 0.932348 [0.958245,0.606383] precision 0.929533 [0.957714,0.57483] precision 0.933974 [0.960026,0.606061] precision 0.935592 [0.960868,0.61745] precision 0.934162 [0.962115,0.582317] precision 0.929095 [0.957316,0.573883] precision 0.936406 [0.96167,0.618421] precision 0.931237 [0.957997,0.594406] precision 0.935684 [0.961252,0.613861] precision 0.929167 [0.959179,0.551402] precision 0.934877 [0.958184,0.641509] precision 0.932594 [0.961078,0.574074] precision 0.930702 [0.959462,0.56869] precision 0.934578 [0.960247,0.611486] precision 0.932639 [0.959388,0.59596] precision 0.925529 [0.954334,0.562963] precision 0.931292 [0.958936,0.583333] precision 0.933791 [0.960204,0.601329] precision 0.930758 [0.957971,0.588235] precision 0.928968 [0.956937,0.576923] precision 0.93374 [0.960768,0.593548] precision 0.933751 [0.96209,0.577039] precision 0.933029 [0.960162,0.591503] precision 0.934941 [0.960076,0.618557] precision 0.935656 [0.96144,0.611111] precision 0.93629 [0.960714,0.628866] precision 0.934518 [0.960622,0.60596] precision 0.932747 [0.95882,0.605536] precision 0.936442 [0.962805,0.60559] precision 0.938019 [0.962505,0.630719] precision 0.928957 [0.957483,0.570946] precision 0.932332 [0.959549,0.590759] precision 0.93674 [0.961678,0.623762] precision 0.929856 [0.957546,0.581315] precision 0.929711 [0.959018,0.561905] precision 0.930585 [0.959633,0.566038] precision 0.931437 [0.959497,0.579288] precision 0.932043 [0.959344,0.589404] precision 0.93476 [0.961383,0.600639] precision 0.929974 [0.960154,0.551205] precision 0.932447 [0.960307,0.582803] precision 0.93818 [0.962513,0.632787] precision 0.925064 [0.955211,0.546713] precision 0.938647 [0.963311,0.628205] precision 0.936753 [0.962631,0.611987] precision 0.935722 [0.962765,0.59633] precision 0.930791 [0.960394,0.559271] predictive_accuracy 0.9402 predictive_accuracy 0.9374 predictive_accuracy 0.9422 predictive_accuracy 0.9394 predictive_accuracy 0.938 predictive_accuracy 0.9396 predictive_accuracy 0.9378 predictive_accuracy 0.937 predictive_accuracy 0.939 predictive_accuracy 0.9366 predictive_accuracy 0.9368 predictive_accuracy 0.94 predictive_accuracy 0.934 predictive_accuracy 0.9356 predictive_accuracy 0.9366 predictive_accuracy 0.9406 predictive_accuracy 0.9332 predictive_accuracy 0.9358 predictive_accuracy 0.9384 predictive_accuracy 0.9394 predictive_accuracy 0.9376 predictive_accuracy 0.9348 predictive_accuracy 0.9394 predictive_accuracy 0.9374 predictive_accuracy 0.9416 predictive_accuracy 0.9378 predictive_accuracy 0.9372 predictive_accuracy 0.9406 predictive_accuracy 0.939 predictive_accuracy 0.9388 predictive_accuracy 0.9362 predictive_accuracy 0.9344 predictive_accuracy 0.9358 predictive_accuracy 0.9372 predictive_accuracy 0.9354 predictive_accuracy 0.9394 predictive_accuracy 0.9344 predictive_accuracy 0.9402 predictive_accuracy 0.9406 predictive_accuracy 0.9364 predictive_accuracy 0.9406 predictive_accuracy 0.9388 predictive_accuracy 0.9452 predictive_accuracy 0.9398 predictive_accuracy 0.9394 predictive_accuracy 0.9366 predictive_accuracy 0.9374 predictive_accuracy 0.9354 predictive_accuracy 0.9384 predictive_accuracy 0.9408 predictive_accuracy 0.9358 predictive_accuracy 0.9376 predictive_accuracy 0.9384 predictive_accuracy 0.9384 predictive_accuracy 0.9352 predictive_accuracy 0.939 predictive_accuracy 0.9404 predictive_accuracy 0.9372 predictive_accuracy 0.935 predictive_accuracy 0.9408 predictive_accuracy 0.9372 predictive_accuracy 0.9402 predictive_accuracy 0.933 predictive_accuracy 0.9414 predictive_accuracy 0.936 predictive_accuracy 0.935 predictive_accuracy 0.9396 predictive_accuracy 0.9378 predictive_accuracy 0.9332 predictive_accuracy 0.9364 predictive_accuracy 0.9386 predictive_accuracy 0.9366 predictive_accuracy 0.9352 predictive_accuracy 0.938 predictive_accuracy 0.9366 predictive_accuracy 0.9376 predictive_accuracy 0.9402 predictive_accuracy 0.94 predictive_accuracy 0.9414 predictive_accuracy 0.9392 predictive_accuracy 0.9384 predictive_accuracy 0.9398 predictive_accuracy 0.9422 predictive_accuracy 0.9346 predictive_accuracy 0.9372 predictive_accuracy 0.9412 predictive_accuracy 0.9358 predictive_accuracy 0.934 predictive_accuracy 0.9346 predictive_accuracy 0.936 predictive_accuracy 0.937 predictive_accuracy 0.9388 predictive_accuracy 0.933 predictive_accuracy 0.9366 predictive_accuracy 0.9424 predictive_accuracy 0.9316 predictive_accuracy 0.9424 predictive_accuracy 0.9404 predictive_accuracy 0.9388 predictive_accuracy 0.934 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 prior_entropy 0.379425 recall 0.9402 [0.975389,0.497283] recall 0.9374 [0.97323,0.486413] recall 0.9422 [0.976036,0.516304] recall 0.9394 [0.97582,0.480978] recall 0.938 [0.972798,0.5] recall 0.9396 [0.975604,0.486413] recall 0.9378 [0.97344,0.490515] recall 0.937 [0.973446,0.478261] recall 0.939 [0.971071,0.535326] recall 0.9366 [0.974309,0.461957] recall 0.9368 [0.970423,0.513587] recall 0.94 [0.977547,0.467391] recall 0.934 [0.971287,0.464674] recall 0.9356 [0.970423,0.497283] recall 0.9366 [0.974741,0.456522] recall 0.9406 [0.976468,0.48913] recall 0.9332 [0.969121,0.482385] recall 0.9358 [0.972582,0.472826] recall 0.9384 [0.974093,0.48913] recall 0.9394 [0.976252,0.475543] recall 0.9376 [0.973877,0.480978] recall 0.9348 [0.969128,0.502717] recall 0.9394 [0.976468,0.472826] recall 0.9374 [0.969991,0.527174] recall 0.9416 [0.977116,0.494565] recall 0.9378 [0.971071,0.519022] recall 0.9372 [0.971071,0.51087] recall 0.9406 [0.974525,0.513587] recall 0.939 [0.976252,0.470109] recall 0.9388 [0.975389,0.478261] recall 0.9362 [0.970639,0.502717] recall 0.9344 [0.972798,0.451087] recall 0.9358 [0.97323,0.464674] recall 0.9372 [0.970423,0.519022] recall 0.9354 [0.974093,0.44837] recall 0.9394 [0.974093,0.502717] recall 0.9344 [0.970207,0.483696] recall 0.9402 [0.976684,0.480978] recall 0.9406 [0.975173,0.505435] recall 0.9364 [0.972366,0.483696] recall 0.9406 [0.974741,0.51087] recall 0.9388 [0.971934,0.521739] recall 0.9452 [0.977332,0.540761] recall 0.9398 [0.97582,0.486413] recall 0.9394 [0.974309,0.5] recall 0.9366 [0.97215,0.48913] recall 0.9374 [0.97582,0.453804] recall 0.9354 [0.975389,0.432065] recall 0.9384 [0.972366,0.51087] recall 0.9408 [0.973877,0.524457] recall 0.9358 [0.972366,0.475543] recall 0.9376 [0.97582,0.456522] recall 0.9384 [0.974525,0.483696] recall 0.9384 [0.976036,0.464674] recall 0.9352 [0.973014,0.459239] recall 0.939 [0.974741,0.48913] recall 0.9404 [0.975389,0.5] recall 0.9372 [0.970423,0.519022] recall 0.935 [0.97323,0.453804] recall 0.9408 [0.974957,0.51087] recall 0.9372 [0.974957,0.461957] recall 0.9402 [0.974741,0.505435] recall 0.933 [0.968912,0.480978] recall 0.9414 [0.979491,0.461957] recall 0.936 [0.970207,0.505435] recall 0.935 [0.970855,0.483696] recall 0.9396 [0.975173,0.491848] recall 0.9378 [0.974093,0.480978] recall 0.9332 [0.974525,0.413043] recall 0.9364 [0.973014,0.475543] recall 0.9386 [0.974093,0.491848] recall 0.9366 [0.974309,0.461957] recall 0.9352 [0.973877,0.44837] recall 0.938 [0.972798,0.5] recall 0.9366 [0.969775,0.519022] recall 0.9376 [0.973014,0.491848] recall 0.9402 [0.976036,0.48913] recall 0.94 [0.974309,0.508152] recall 0.9414 [0.976684,0.497283] recall 0.9392 [0.974309,0.497283] recall 0.9384 [0.975383,0.474255] recall 0.9398 [0.972576,0.528455] recall 0.9422 [0.975599,0.523035] recall 0.9346 [0.972576,0.457995] recall 0.9372 [0.973224,0.485095] recall 0.9412 [0.975383,0.512195] recall 0.9358 [0.973877,0.456522] recall 0.934 [0.970201,0.479675] recall 0.9346 [0.970201,0.487805] recall 0.936 [0.971928,0.485095] recall 0.937 [0.973224,0.482385] recall 0.9388 [0.973008,0.509485] recall 0.933 [0.967826,0.495935] recall 0.9366 [0.971712,0.495935] recall 0.9424 [0.975815,0.523035] recall 0.9316 [0.971712,0.428184] recall 0.9424 [0.974957,0.532609] recall 0.9404 [0.97344,0.525745] recall 0.9388 [0.971496,0.528455] recall 0.934 [0.968689,0.498645] relative_absolute_error 0.73268 relative_absolute_error 0.74549 relative_absolute_error 0.724003 relative_absolute_error 0.731359 relative_absolute_error 0.740672 relative_absolute_error 0.733309 relative_absolute_error 0.740498 relative_absolute_error 0.742281 relative_absolute_error 0.739229 relative_absolute_error 0.74577 relative_absolute_error 0.744639 relative_absolute_error 0.731581 relative_absolute_error 0.755157 relative_absolute_error 0.752885 relative_absolute_error 0.743001 relative_absolute_error 0.729072 relative_absolute_error 0.759151 relative_absolute_error 0.748988 relative_absolute_error 0.737807 relative_absolute_error 0.733169 relative_absolute_error 0.741253 relative_absolute_error 0.752277 relative_absolute_error 0.73484 relative_absolute_error 0.745985 relative_absolute_error 0.726313 relative_absolute_error 0.741967 relative_absolute_error 0.741021 relative_absolute_error 0.731988 relative_absolute_error 0.73512 relative_absolute_error 0.735394 relative_absolute_error 0.749758 relative_absolute_error 0.751345 relative_absolute_error 0.746234 relative_absolute_error 0.7444 relative_absolute_error 0.748172 relative_absolute_error 0.73651 relative_absolute_error 0.757385 relative_absolute_error 0.730276 relative_absolute_error 0.730458 relative_absolute_error 0.744318 relative_absolute_error 0.731439 relative_absolute_error 0.738313 relative_absolute_error 0.716562 relative_absolute_error 0.733354 relative_absolute_error 0.734712 relative_absolute_error 0.747767 relative_absolute_error 0.738885 relative_absolute_error 0.748724 relative_absolute_error 0.739098 relative_absolute_error 0.732589 relative_absolute_error 0.747862 relative_absolute_error 0.739936 relative_absolute_error 0.737121 relative_absolute_error 0.738846 relative_absolute_error 0.750486 relative_absolute_error 0.73529 relative_absolute_error 0.732485 relative_absolute_error 0.743635 relative_absolute_error 0.752618 relative_absolute_error 0.730628 relative_absolute_error 0.742318 relative_absolute_error 0.733521 relative_absolute_error 0.758513 relative_absolute_error 0.723109 relative_absolute_error 0.74869 relative_absolute_error 0.74957 relative_absolute_error 0.733 relative_absolute_error 0.740496 relative_absolute_error 0.752834 relative_absolute_error 0.746956 relative_absolute_error 0.735985 relative_absolute_error 0.743123 relative_absolute_error 0.747132 relative_absolute_error 0.739787 relative_absolute_error 0.746483 relative_absolute_error 0.74389 relative_absolute_error 0.731465 relative_absolute_error 0.734829 relative_absolute_error 0.72574 relative_absolute_error 0.731783 relative_absolute_error 0.737798 relative_absolute_error 0.736497 relative_absolute_error 0.726083 relative_absolute_error 0.751019 relative_absolute_error 0.744563 relative_absolute_error 0.727851 relative_absolute_error 0.748275 relative_absolute_error 0.756951 relative_absolute_error 0.754664 relative_absolute_error 0.747597 relative_absolute_error 0.743337 relative_absolute_error 0.73546 relative_absolute_error 0.762804 relative_absolute_error 0.746341 relative_absolute_error 0.724209 relative_absolute_error 0.762248 relative_absolute_error 0.725307 relative_absolute_error 0.728931 relative_absolute_error 0.739706 relative_absolute_error 0.75913 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261445 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261445 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261445 root_mean_prior_squared_error 0.261445 root_mean_prior_squared_error 0.261445 root_mean_prior_squared_error 0.261445 root_mean_prior_squared_error 0.261445 root_mean_prior_squared_error 0.261445 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261445 root_mean_prior_squared_error 0.261445 root_mean_prior_squared_error 0.261445 root_mean_prior_squared_error 0.261445 root_mean_prior_squared_error 0.261445 root_mean_prior_squared_error 0.261445 root_mean_prior_squared_error 0.261445 root_mean_prior_squared_error 0.261445 root_mean_prior_squared_error 0.261445 root_mean_prior_squared_error 0.261119 root_mean_prior_squared_error 0.261445 root_mean_prior_squared_error 0.261445 root_mean_prior_squared_error 0.261445 root_mean_squared_error 0.222278 root_mean_squared_error 0.225532 root_mean_squared_error 0.219454 root_mean_squared_error 0.224167 root_mean_squared_error 0.224117 root_mean_squared_error 0.223449 root_mean_squared_error 0.22477 root_mean_squared_error 0.226342 root_mean_squared_error 0.220883 root_mean_squared_error 0.227537 root_mean_squared_error 0.223862 root_mean_squared_error 0.224533 root_mean_squared_error 0.229082 root_mean_squared_error 0.226248 root_mean_squared_error 0.227634 root_mean_squared_error 0.222852 root_mean_squared_error 0.228926 root_mean_squared_error 0.227457 root_mean_squared_error 0.224259 root_mean_squared_error 0.224255 root_mean_squared_error 0.225489 root_mean_squared_error 0.226159 root_mean_squared_error 0.224863 root_mean_squared_error 0.22275 root_mean_squared_error 0.221802 root_mean_squared_error 0.222917 root_mean_squared_error 0.223881 root_mean_squared_error 0.220921 root_mean_squared_error 0.225053 root_mean_squared_error 0.224717 root_mean_squared_error 0.225399 root_mean_squared_error 0.22958 root_mean_squared_error 0.227786 root_mean_squared_error 0.223245 root_mean_squared_error 0.229139 root_mean_squared_error 0.222558 root_mean_squared_error 0.228161 root_mean_squared_error 0.223234 root_mean_squared_error 0.221367 root_mean_squared_error 0.226197 root_mean_squared_error 0.221227 root_mean_squared_error 0.221837 root_mean_squared_error 0.215729 root_mean_squared_error 0.223196 root_mean_squared_error 0.222427 root_mean_squared_error 0.226024 root_mean_squared_error 0.227158 root_mean_squared_error 0.230488 root_mean_squared_error 0.222592 root_mean_squared_error 0.219946 root_mean_squared_error 0.227074 root_mean_squared_error 0.227143 root_mean_squared_error 0.224552 root_mean_squared_error 0.225813 root_mean_squared_error 0.228699 root_mean_squared_error 0.223811 root_mean_squared_error 0.221967 root_mean_squared_error 0.223176 root_mean_squared_error 0.229238 root_mean_squared_error 0.22087 root_mean_squared_error 0.227297 root_mean_squared_error 0.222074 root_mean_squared_error 0.228949 root_mean_squared_error 0.223923 root_mean_squared_error 0.225092 root_mean_squared_error 0.227245 root_mean_squared_error 0.223304 root_mean_squared_error 0.225409 root_mean_squared_error 0.233271 root_mean_squared_error 0.227142 root_mean_squared_error 0.223909 root_mean_squared_error 0.227376 root_mean_squared_error 0.229296 root_mean_squared_error 0.224093 root_mean_squared_error 0.22397 root_mean_squared_error 0.224998 root_mean_squared_error 0.222827 root_mean_squared_error 0.221694 root_mean_squared_error 0.221669 root_mean_squared_error 0.22296 root_mean_squared_error 0.225514 root_mean_squared_error 0.22117 root_mean_squared_error 0.21957 root_mean_squared_error 0.229229 root_mean_squared_error 0.225738 root_mean_squared_error 0.220493 root_mean_squared_error 0.228544 root_mean_squared_error 0.228599 root_mean_squared_error 0.227689 root_mean_squared_error 0.226863 root_mean_squared_error 0.225911 root_mean_squared_error 0.222569 root_mean_squared_error 0.228679 root_mean_squared_error 0.225384 root_mean_squared_error 0.219356 root_mean_squared_error 0.233559 root_mean_squared_error 0.218401 root_mean_squared_error 0.220534 root_mean_squared_error 0.221778 root_mean_squared_error 0.227469 root_relative_squared_error 0.851251 root_relative_squared_error 0.863714 root_relative_squared_error 0.840437 root_relative_squared_error 0.858487 root_relative_squared_error 0.858296 root_relative_squared_error 0.855737 root_relative_squared_error 0.859723 root_relative_squared_error 0.866816 root_relative_squared_error 0.845908 root_relative_squared_error 0.871394 root_relative_squared_error 0.857319 root_relative_squared_error 0.859888 root_relative_squared_error 0.877311 root_relative_squared_error 0.866458 root_relative_squared_error 0.871764 root_relative_squared_error 0.853452 root_relative_squared_error 0.875618 root_relative_squared_error 0.871087 root_relative_squared_error 0.858839 root_relative_squared_error 0.858824 root_relative_squared_error 0.863551 root_relative_squared_error 0.866116 root_relative_squared_error 0.861152 root_relative_squared_error 0.85306 root_relative_squared_error 0.849429 root_relative_squared_error 0.8537 root_relative_squared_error 0.857391 root_relative_squared_error 0.846054 root_relative_squared_error 0.861878 root_relative_squared_error 0.860594 root_relative_squared_error 0.863207 root_relative_squared_error 0.879216 root_relative_squared_error 0.872347 root_relative_squared_error 0.854955 root_relative_squared_error 0.877526 root_relative_squared_error 0.852324 root_relative_squared_error 0.873781 root_relative_squared_error 0.854914 root_relative_squared_error 0.847764 root_relative_squared_error 0.86626 root_relative_squared_error 0.847228 root_relative_squared_error 0.849564 root_relative_squared_error 0.826171 root_relative_squared_error 0.854768 root_relative_squared_error 0.851824 root_relative_squared_error 0.865599 root_relative_squared_error 0.86994 root_relative_squared_error 0.882693 root_relative_squared_error 0.852454 root_relative_squared_error 0.842322 root_relative_squared_error 0.869618 root_relative_squared_error 0.869885 root_relative_squared_error 0.859962 root_relative_squared_error 0.864789 root_relative_squared_error 0.875843 root_relative_squared_error 0.857124 root_relative_squared_error 0.850063 root_relative_squared_error 0.854693 root_relative_squared_error 0.877908 root_relative_squared_error 0.845861 root_relative_squared_error 0.870475 root_relative_squared_error 0.850472 root_relative_squared_error 0.8768 root_relative_squared_error 0.857551 root_relative_squared_error 0.862029 root_relative_squared_error 0.870274 root_relative_squared_error 0.85518 root_relative_squared_error 0.863243 root_relative_squared_error 0.893352 root_relative_squared_error 0.869878 root_relative_squared_error 0.857498 root_relative_squared_error 0.870775 root_relative_squared_error 0.878129 root_relative_squared_error 0.858205 root_relative_squared_error 0.857732 root_relative_squared_error 0.861668 root_relative_squared_error 0.853355 root_relative_squared_error 0.849016 root_relative_squared_error 0.848922 root_relative_squared_error 0.853864 root_relative_squared_error 0.862569 root_relative_squared_error 0.845954 root_relative_squared_error 0.839833 root_relative_squared_error 0.876775 root_relative_squared_error 0.863422 root_relative_squared_error 0.843362 root_relative_squared_error 0.875249 root_relative_squared_error 0.874365 root_relative_squared_error 0.870886 root_relative_squared_error 0.867725 root_relative_squared_error 0.864087 root_relative_squared_error 0.851303 root_relative_squared_error 0.874671 root_relative_squared_error 0.862071 root_relative_squared_error 0.839015 root_relative_squared_error 0.893339 root_relative_squared_error 0.836406 root_relative_squared_error 0.843518 root_relative_squared_error 0.848276 root_relative_squared_error 0.870043 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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 2090 usercpu_time_millis 2010 usercpu_time_millis 2000 usercpu_time_millis 1890 usercpu_time_millis 2090 usercpu_time_millis 2050 usercpu_time_millis 2090 usercpu_time_millis 2090 usercpu_time_millis 2090 usercpu_time_millis 2040 usercpu_time_millis 2080 usercpu_time_millis 2060 usercpu_time_millis 2080 usercpu_time_millis 1930 usercpu_time_millis 2060 usercpu_time_millis 2020 usercpu_time_millis 2010 usercpu_time_millis 2060 usercpu_time_millis 2120 usercpu_time_millis 2040 usercpu_time_millis 2030 usercpu_time_millis 2080 usercpu_time_millis 2040 usercpu_time_millis 1980 usercpu_time_millis 2030 usercpu_time_millis 2060 usercpu_time_millis 2060 usercpu_time_millis 2070 usercpu_time_millis 2150 usercpu_time_millis 2090 usercpu_time_millis 2100 usercpu_time_millis 2040 usercpu_time_millis 2060 usercpu_time_millis 2050 usercpu_time_millis 2040 usercpu_time_millis 1960 usercpu_time_millis 2040 usercpu_time_millis 2090 usercpu_time_millis 2100 usercpu_time_millis 1980 usercpu_time_millis 2120 usercpu_time_millis 2000 usercpu_time_millis 2000 usercpu_time_millis 2070 usercpu_time_millis 2140 usercpu_time_millis 2010 usercpu_time_millis 2120 usercpu_time_millis 2050 usercpu_time_millis 2130 usercpu_time_millis 2030 usercpu_time_millis 2090 usercpu_time_millis 1980 usercpu_time_millis 1970 usercpu_time_millis 2050 usercpu_time_millis 2070 usercpu_time_millis 1930 usercpu_time_millis 2100 usercpu_time_millis 2090 usercpu_time_millis 2110 usercpu_time_millis 2140 usercpu_time_millis 2070 usercpu_time_millis 1850 usercpu_time_millis 2060 usercpu_time_millis 1970 usercpu_time_millis 2010 usercpu_time_millis 2070 usercpu_time_millis 2080 usercpu_time_millis 2020 usercpu_time_millis 2080 usercpu_time_millis 2120 usercpu_time_millis 2030 usercpu_time_millis 1940 usercpu_time_millis 2080 usercpu_time_millis 2000 usercpu_time_millis 2050 usercpu_time_millis 2010 usercpu_time_millis 2060 usercpu_time_millis 2090 usercpu_time_millis 2110 usercpu_time_millis 2100 usercpu_time_millis 1920 usercpu_time_millis 1980 usercpu_time_millis 2030 usercpu_time_millis 2090 usercpu_time_millis 2140 usercpu_time_millis 2060 usercpu_time_millis 2100 usercpu_time_millis 2120 usercpu_time_millis 2160 usercpu_time_millis 2060 usercpu_time_millis 1980 usercpu_time_millis 1980 usercpu_time_millis 1960 usercpu_time_millis 2010 usercpu_time_millis 2070 usercpu_time_millis 2060 usercpu_time_millis 2120 usercpu_time_millis 2100 usercpu_time_millis 2070 usercpu_time_millis 2210 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 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