453578 2 Joaquin Vanschoren 4549 Supervised Classification predictive_accuracy 1199 weka.ADTree(4) 2069 weka.classifiers.trees.ADTree -- -B 10 -E -3 -S 1 B 10 1199 E -3 1199 S 1 1199 weka weka_3.7.12 981 kdd_internet_usage https://www.openml.org/data/download/53515/kdd_internet_usage.arff -1 1591616 description https://api.openml.org/data/download/1591616/weka_generated_run6071865057435192623.xml -1 1591618 model_readable https://api.openml.org/data/download/1591618/WekaModel_weka.classifiers.trees.ADTree868005096730701884.model -1 1591617 model_serialized https://api.openml.org/data/download/1591617/WekaSerialized_weka.classifiers.trees.ADTree8231677191367892461.model -1 1591619 predictions https://api.openml.org/data/download/1591619/weka_generated_predictions4415693890011142437.arff area_under_roc_curve 0.947466 [0.947466,0.947466] average_cost 0 f_measure 0.896012 [0.928913,0.806424] kappa 0.735337 kb_relative_information_score 51038.702434 mean_absolute_error 0.194133 mean_prior_absolute_error 0.392928 number_of_instances 101080 [73930,27150] os_information [Oracle Corporation, 1.8.0_45, amd64, Linux, 2.6.32-504.8.1.el6.x86_64] precision 0.896012 [0.928907,0.806439] predictive_accuracy 0.896013 prior_entropy 0.839513 recall 0.896013 [0.928919,0.806409] relative_absolute_error 0.494068 root_mean_prior_squared_error 0.443231 root_mean_squared_error 0.282607 root_relative_squared_error 0.637606 scimark_benchmark 908.95685 [482.3674420247276, 1027.7093376, 337.4424419825379, 645.6748859472447, 2051.5901448167365] total_cost 0 usercpu_time_millis 1390 usercpu_time_millis_testing 10 usercpu_time_millis_training 1380 area_under_roc_curve 0.93877 [0.93877,0.93877] area_under_roc_curve 0.94734 [0.94734,0.94734] area_under_roc_curve 0.951257 [0.951257,0.951257] area_under_roc_curve 0.957043 [0.957043,0.957043] area_under_roc_curve 0.946659 [0.946659,0.946659] area_under_roc_curve 0.947482 [0.947482,0.947482] area_under_roc_curve 0.950449 [0.950449,0.950449] area_under_roc_curve 0.951593 [0.951593,0.951593] area_under_roc_curve 0.942164 [0.942164,0.942164] area_under_roc_curve 0.946819 [0.946819,0.946819] area_under_roc_curve 0.955827 [0.955827,0.955827] area_under_roc_curve 0.945619 [0.945619,0.945619] area_under_roc_curve 0.941682 [0.941682,0.941682] area_under_roc_curve 0.958505 [0.958505,0.958505] area_under_roc_curve 0.945328 [0.945328,0.945328] area_under_roc_curve 0.953064 [0.953064,0.953064] area_under_roc_curve 0.949422 [0.949422,0.949422] area_under_roc_curve 0.950157 [0.950157,0.950157] area_under_roc_curve 0.942842 [0.942842,0.942842] area_under_roc_curve 0.951272 [0.951272,0.951272] area_under_roc_curve 0.954795 [0.954795,0.954795] area_under_roc_curve 0.958741 [0.958741,0.958741] area_under_roc_curve 0.947265 [0.947265,0.947265] area_under_roc_curve 0.945612 [0.945612,0.945612] area_under_roc_curve 0.960484 [0.960484,0.960484] area_under_roc_curve 0.952092 [0.952092,0.952092] area_under_roc_curve 0.951538 [0.951538,0.951538] area_under_roc_curve 0.943769 [0.943769,0.943769] area_under_roc_curve 0.943894 [0.943894,0.943894] area_under_roc_curve 0.942363 [0.942363,0.942363] area_under_roc_curve 0.941435 [0.941435,0.941435] area_under_roc_curve 0.937435 [0.937435,0.937435] area_under_roc_curve 0.948084 [0.948084,0.948084] area_under_roc_curve 0.941214 [0.941214,0.941214] area_under_roc_curve 0.9474 [0.9474,0.9474] area_under_roc_curve 0.954492 [0.954492,0.954492] area_under_roc_curve 0.932077 [0.932077,0.932077] area_under_roc_curve 0.946592 [0.946592,0.946592] area_under_roc_curve 0.942094 [0.942094,0.942094] area_under_roc_curve 0.954134 [0.954134,0.954134] area_under_roc_curve 0.947139 [0.947139,0.947139] area_under_roc_curve 0.955017 [0.955017,0.955017] area_under_roc_curve 0.949659 [0.949659,0.949659] area_under_roc_curve 0.944219 [0.944219,0.944219] area_under_roc_curve 0.932035 [0.932035,0.932035] area_under_roc_curve 0.945186 [0.945186,0.945186] area_under_roc_curve 0.951885 [0.951885,0.951885] area_under_roc_curve 0.946136 [0.946136,0.946136] area_under_roc_curve 0.949251 [0.949251,0.949251] area_under_roc_curve 0.951631 [0.951631,0.951631] area_under_roc_curve 0.950651 [0.950651,0.950651] area_under_roc_curve 0.944137 [0.944137,0.944137] area_under_roc_curve 0.943714 [0.943714,0.943714] area_under_roc_curve 0.952512 [0.952512,0.952512] area_under_roc_curve 0.944226 [0.944226,0.944226] area_under_roc_curve 0.941321 [0.941321,0.941321] area_under_roc_curve 0.949129 [0.949129,0.949129] area_under_roc_curve 0.948803 [0.948803,0.948803] area_under_roc_curve 0.966106 [0.966106,0.966106] area_under_roc_curve 0.955621 [0.955621,0.955621] area_under_roc_curve 0.951604 [0.951604,0.951604] area_under_roc_curve 0.945751 [0.945751,0.945751] area_under_roc_curve 0.950539 [0.950539,0.950539] area_under_roc_curve 0.947146 [0.947146,0.947146] area_under_roc_curve 0.959594 [0.959594,0.959594] area_under_roc_curve 0.956845 [0.956845,0.956845] area_under_roc_curve 0.955579 [0.955579,0.955579] area_under_roc_curve 0.942174 [0.942174,0.942174] area_under_roc_curve 0.956519 [0.956519,0.956519] area_under_roc_curve 0.954196 [0.954196,0.954196] area_under_roc_curve 0.94749 [0.94749,0.94749] area_under_roc_curve 0.949042 [0.949042,0.949042] area_under_roc_curve 0.953768 [0.953768,0.953768] area_under_roc_curve 0.945186 [0.945186,0.945186] area_under_roc_curve 0.951706 [0.951706,0.951706] area_under_roc_curve 0.953805 [0.953805,0.953805] area_under_roc_curve 0.943719 [0.943719,0.943719] area_under_roc_curve 0.955089 [0.955089,0.955089] area_under_roc_curve 0.94206 [0.94206,0.94206] area_under_roc_curve 0.941883 [0.941883,0.941883] area_under_roc_curve 0.945324 [0.945324,0.945324] area_under_roc_curve 0.946624 [0.946624,0.946624] area_under_roc_curve 0.941252 [0.941252,0.941252] area_under_roc_curve 0.951628 [0.951628,0.951628] area_under_roc_curve 0.946445 [0.946445,0.946445] area_under_roc_curve 0.946195 [0.946195,0.946195] area_under_roc_curve 0.954391 [0.954391,0.954391] area_under_roc_curve 0.957277 [0.957277,0.957277] area_under_roc_curve 0.951218 [0.951218,0.951218] area_under_roc_curve 0.94027 [0.94027,0.94027] area_under_roc_curve 0.95331 [0.95331,0.95331] area_under_roc_curve 0.943087 [0.943087,0.943087] area_under_roc_curve 0.949763 [0.949763,0.949763] area_under_roc_curve 0.938982 [0.938982,0.938982] area_under_roc_curve 0.949248 [0.949248,0.949248] area_under_roc_curve 0.940515 [0.940515,0.940515] area_under_roc_curve 0.948107 [0.948107,0.948107] area_under_roc_curve 0.944108 [0.944108,0.944108] area_under_roc_curve 0.947139 [0.947139,0.947139] area_under_roc_curve 0.956171 [0.956171,0.956171] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.88158 [0.918699,0.78022] f_measure 0.89911 [0.931081,0.811808] f_measure 0.901428 [0.932157,0.817518] f_measure 0.911285 [0.938942,0.835766] f_measure 0.8976 [0.929348,0.810909] f_measure 0.907619 [0.93883,0.822394] f_measure 0.897369 [0.929539,0.809524] f_measure 0.896203 [0.929006,0.80663] f_measure 0.894914 [0.929953,0.799235] f_measure 0.892249 [0.926302,0.799263] f_measure 0.912957 [0.940541,0.837638] f_measure 0.89359 [0.92814,0.79925] f_measure 0.890539 [0.926174,0.793233] f_measure 0.903179 [0.933694,0.819853] f_measure 0.897714 [0.932091,0.803846] f_measure 0.904331 [0.934237,0.822669] f_measure 0.885657 [0.921303,0.788321] f_measure 0.902997 [0.932331,0.822898] f_measure 0.888295 [0.923597,0.791897] f_measure 0.899306 [0.932351,0.809074] f_measure 0.910249 [0.938305,0.833638] f_measure 0.904222 [0.934326,0.822018] f_measure 0.899569 [0.930707,0.814545] f_measure 0.896763 [0.930013,0.80597] f_measure 0.909107 [0.937754,0.830882] f_measure 0.897132 [0.92973,0.808118] f_measure 0.909001 [0.937838,0.830258] f_measure 0.898298 [0.930264,0.811009] f_measure 0.891448 [0.925474,0.798535] f_measure 0.894778 [0.928668,0.802239] f_measure 0.891322 [0.925474,0.798535] f_measure 0.897188 [0.931011,0.805293] f_measure 0.892795 [0.927224,0.799257] f_measure 0.883284 [0.920162,0.783088] f_measure 0.890941 [0.925776,0.796296] f_measure 0.896124 [0.930388,0.80303] f_measure 0.881217 [0.920295,0.775047] f_measure 0.898378 [0.931544,0.808271] f_measure 0.873825 [0.913043,0.767273] f_measure 0.898061 [0.930358,0.810313] f_measure 0.894347 [0.927458,0.804388] f_measure 0.897132 [0.929635,0.808824] f_measure 0.896669 [0.928523,0.810127] f_measure 0.897367 [0.929444,0.810219] f_measure 0.872401 [0.915502,0.755299] f_measure 0.893658 [0.926531,0.804348] f_measure 0.896555 [0.92862,0.809437] f_measure 0.884986 [0.920245,0.789189] f_measure 0.896439 [0.928717,0.808743] f_measure 0.901905 [0.933153,0.817006] f_measure 0.898992 [0.931081,0.811808] f_measure 0.886447 [0.922034,0.789762] f_measure 0.886576 [0.921928,0.790528] f_measure 0.905979 [0.935767,0.825046] f_measure 0.886952 [0.921609,0.792793] f_measure 0.894004 [0.92623,0.806452] f_measure 0.88684 [0.923181,0.788104] f_measure 0.899312 [0.93226,0.809793] f_measure 0.913996 [0.941097,0.840367] f_measure 0.90651 [0.93533,0.82821] f_measure 0.893852 [0.927849,0.801484] f_measure 0.890884 [0.924335,0.8] f_measure 0.903289 [0.933514,0.821168] f_measure 0.89354 [0.92663,0.803636] f_measure 0.900157 [0.931618,0.814679] f_measure 0.910447 [0.938053,0.835443] f_measure 0.903289 [0.933514,0.821168] f_measure 0.884069 [0.920999,0.783734] f_measure 0.905868 [0.935854,0.824399] f_measure 0.898992 [0.931081,0.811808] f_measure 0.897367 [0.929444,0.810219] f_measure 0.895274 [0.928184,0.805861] f_measure 0.911049 [0.940468,0.83112] f_measure 0.889346 [0.924119,0.794872] f_measure 0.900616 [0.932705,0.813433] f_measure 0.898061 [0.930358,0.810313] f_measure 0.897697 [0.93064,0.808194] f_measure 0.903819 [0.93306,0.824373] f_measure 0.886447 [0.922034,0.789762] f_measure 0.881217 [0.920295,0.775047] f_measure 0.887208 [0.921287,0.794275] f_measure 0.89505 [0.928281,0.804428] f_measure 0.876483 [0.913699,0.775] f_measure 0.901203 [0.933602,0.812854] f_measure 0.896796 [0.928328,0.810811] f_measure 0.88538 [0.922767,0.783427] f_measure 0.903558 [0.93468,0.818692] f_measure 0.907558 [0.93588,0.830325] f_measure 0.904344 [0.934058,0.823315] f_measure 0.884081 [0.919399,0.78777] f_measure 0.892016 [0.927711,0.794677] f_measure 0.894121 [0.927556,0.802947] f_measure 0.902037 [0.932972,0.81768] f_measure 0.881326 [0.918699,0.779412] f_measure 0.89969 [0.930423,0.815884] f_measure 0.878289 [0.916723,0.773481] f_measure 0.895643 [0.927793,0.807971] f_measure 0.891446 [0.928096,0.791506] f_measure 0.907867 [0.93712,0.828096] f_measure 0.901441 [0.931973,0.818182] kappa 0.698925 kappa 0.742889 kappa 0.749687 kappa 0.774718 kappa 0.740277 kappa 0.7614 kappa 0.739068 kappa 0.735636 kappa 0.729313 kappa 0.725565 kappa 0.778179 kappa 0.727417 kappa 0.719443 kappa 0.753548 kappa 0.7361 kappa 0.756914 kappa 0.709637 kappa 0.755315 kappa 0.715494 kappa 0.74148 kappa 0.77195 kappa 0.756347 kappa 0.745272 kappa 0.735996 kappa 0.768637 kappa 0.737848 kappa 0.768096 kappa 0.741276 kappa 0.724015 kappa 0.730919 kappa 0.72401 kappa 0.736379 kappa 0.726493 kappa 0.703251 kappa 0.722078 kappa 0.733505 kappa 0.695429 kappa 0.739862 kappa 0.68033 kappa 0.740672 kappa 0.731848 kappa 0.738458 kappa 0.738675 kappa 0.739668 kappa 0.671065 kappa 0.7309 kappa 0.738073 kappa 0.709478 kappa 0.737468 kappa 0.750162 kappa 0.74289 kappa 0.711799 kappa 0.712465 kappa 0.760814 kappa 0.714444 kappa 0.732745 kappa 0.711298 kappa 0.742108 kappa 0.781464 kappa 0.763563 kappa 0.729342 kappa 0.724376 kappa 0.754687 kappa 0.730279 kappa 0.746297 kappa 0.773519 kappa 0.754687 kappa 0.704736 kappa 0.760256 kappa 0.74289 kappa 0.739668 kappa 0.734046 kappa 0.771672 kappa 0.718992 kappa 0.746158 kappa 0.740672 kappa 0.738849 kappa 0.757491 kappa 0.711799 kappa 0.695429 kappa 0.715663 kappa 0.73271 kappa 0.688822 kappa 0.74651 kappa 0.739193 kappa 0.706239 kappa 0.753387 kappa 0.766246 kappa 0.757388 kappa 0.707239 kappa 0.722478 kappa 0.730503 kappa 0.750652 kappa 0.698112 kappa 0.746352 kappa 0.690204 kappa 0.735797 kappa 0.719809 kappa 0.765216 kappa 0.750174 kb_relative_information_score 487.996823 kb_relative_information_score 488.215752 kb_relative_information_score 501.240307 kb_relative_information_score 540.728336 kb_relative_information_score 518.337359 kb_relative_information_score 516.901553 kb_relative_information_score 514.689365 kb_relative_information_score 507.275763 kb_relative_information_score 525.771602 kb_relative_information_score 521.653101 kb_relative_information_score 541.634281 kb_relative_information_score 496.397124 kb_relative_information_score 498.360941 kb_relative_information_score 530.040389 kb_relative_information_score 510.421769 kb_relative_information_score 523.947455 kb_relative_information_score 510.337417 kb_relative_information_score 481.518967 kb_relative_information_score 490.841018 kb_relative_information_score 524.932981 kb_relative_information_score 547.232437 kb_relative_information_score 521.901942 kb_relative_information_score 507.650614 kb_relative_information_score 490.592129 kb_relative_information_score 534.836083 kb_relative_information_score 542.274506 kb_relative_information_score 534.450071 kb_relative_information_score 469.811269 kb_relative_information_score 504.848028 kb_relative_information_score 528.848861 kb_relative_information_score 493.524687 kb_relative_information_score 491.405138 kb_relative_information_score 529.314278 kb_relative_information_score 484.988203 kb_relative_information_score 489.19602 kb_relative_information_score 515.324508 kb_relative_information_score 481.966892 kb_relative_information_score 533.957704 kb_relative_information_score 491.923323 kb_relative_information_score 529.688187 kb_relative_information_score 498.225124 kb_relative_information_score 525.4127 kb_relative_information_score 504.949443 kb_relative_information_score 511.079286 kb_relative_information_score 484.329203 kb_relative_information_score 512.188947 kb_relative_information_score 530.261444 kb_relative_information_score 527.25112 kb_relative_information_score 507.011225 kb_relative_information_score 513.606651 kb_relative_information_score 505.458273 kb_relative_information_score 489.248162 kb_relative_information_score 499.729875 kb_relative_information_score 524.908414 kb_relative_information_score 497.785297 kb_relative_information_score 474.490265 kb_relative_information_score 489.760726 kb_relative_information_score 532.627366 kb_relative_information_score 569.208647 kb_relative_information_score 505.499232 kb_relative_information_score 530.19235 kb_relative_information_score 523.330776 kb_relative_information_score 490.407749 kb_relative_information_score 496.552112 kb_relative_information_score 539.350698 kb_relative_information_score 535.986402 kb_relative_information_score 506.10299 kb_relative_information_score 502.778107 kb_relative_information_score 542.095287 kb_relative_information_score 514.044675 kb_relative_information_score 487.972532 kb_relative_information_score 504.055873 kb_relative_information_score 549.00397 kb_relative_information_score 477.289558 kb_relative_information_score 508.944374 kb_relative_information_score 518.554183 kb_relative_information_score 507.936488 kb_relative_information_score 510.16108 kb_relative_information_score 489.577791 kb_relative_information_score 479.418241 kb_relative_information_score 510.785033 kb_relative_information_score 513.498593 kb_relative_information_score 482.785823 kb_relative_information_score 518.457137 kb_relative_information_score 474.043871 kb_relative_information_score 486.719302 kb_relative_information_score 543.826689 kb_relative_information_score 539.963884 kb_relative_information_score 517.652601 kb_relative_information_score 496.135314 kb_relative_information_score 508.979901 kb_relative_information_score 503.608287 kb_relative_information_score 520.105886 kb_relative_information_score 503.07868 kb_relative_information_score 506.815107 kb_relative_information_score 501.045988 kb_relative_information_score 507.460301 kb_relative_information_score 492.421104 kb_relative_information_score 524.178887 kb_relative_information_score 515.376227 mean_absolute_error 0.201072 mean_absolute_error 0.203723 mean_absolute_error 0.199509 mean_absolute_error 0.182674 mean_absolute_error 0.190391 mean_absolute_error 0.191725 mean_absolute_error 0.191185 mean_absolute_error 0.194092 mean_absolute_error 0.18686 mean_absolute_error 0.187848 mean_absolute_error 0.183664 mean_absolute_error 0.20133 mean_absolute_error 0.196976 mean_absolute_error 0.187675 mean_absolute_error 0.194678 mean_absolute_error 0.188499 mean_absolute_error 0.193315 mean_absolute_error 0.205415 mean_absolute_error 0.19988 mean_absolute_error 0.190021 mean_absolute_error 0.178722 mean_absolute_error 0.190453 mean_absolute_error 0.194051 mean_absolute_error 0.202401 mean_absolute_error 0.185863 mean_absolute_error 0.181025 mean_absolute_error 0.184502 mean_absolute_error 0.208622 mean_absolute_error 0.195031 mean_absolute_error 0.18583 mean_absolute_error 0.2024 mean_absolute_error 0.2026 mean_absolute_error 0.187284 mean_absolute_error 0.202128 mean_absolute_error 0.203148 mean_absolute_error 0.194454 mean_absolute_error 0.204946 mean_absolute_error 0.186137 mean_absolute_error 0.19882 mean_absolute_error 0.186235 mean_absolute_error 0.198525 mean_absolute_error 0.190621 mean_absolute_error 0.196489 mean_absolute_error 0.192186 mean_absolute_error 0.203663 mean_absolute_error 0.191989 mean_absolute_error 0.186952 mean_absolute_error 0.185661 mean_absolute_error 0.193884 mean_absolute_error 0.194501 mean_absolute_error 0.199402 mean_absolute_error 0.202766 mean_absolute_error 0.196765 mean_absolute_error 0.190051 mean_absolute_error 0.198131 mean_absolute_error 0.209403 mean_absolute_error 0.202591 mean_absolute_error 0.1853 mean_absolute_error 0.174978 mean_absolute_error 0.197018 mean_absolute_error 0.186609 mean_absolute_error 0.187491 mean_absolute_error 0.203243 mean_absolute_error 0.201814 mean_absolute_error 0.184272 mean_absolute_error 0.184233 mean_absolute_error 0.198036 mean_absolute_error 0.195896 mean_absolute_error 0.18313 mean_absolute_error 0.19492 mean_absolute_error 0.204382 mean_absolute_error 0.197738 mean_absolute_error 0.181118 mean_absolute_error 0.207129 mean_absolute_error 0.195852 mean_absolute_error 0.192155 mean_absolute_error 0.195848 mean_absolute_error 0.195379 mean_absolute_error 0.20093 mean_absolute_error 0.205117 mean_absolute_error 0.190633 mean_absolute_error 0.190344 mean_absolute_error 0.199579 mean_absolute_error 0.191757 mean_absolute_error 0.208831 mean_absolute_error 0.204164 mean_absolute_error 0.181194 mean_absolute_error 0.183305 mean_absolute_error 0.190941 mean_absolute_error 0.196968 mean_absolute_error 0.19583 mean_absolute_error 0.195806 mean_absolute_error 0.192725 mean_absolute_error 0.193461 mean_absolute_error 0.194384 mean_absolute_error 0.195092 mean_absolute_error 0.193088 mean_absolute_error 0.200469 mean_absolute_error 0.19 mean_absolute_error 0.193408 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.392798 mean_prior_absolute_error 0.392798 mean_prior_absolute_error 0.392798 mean_prior_absolute_error 0.392798 mean_prior_absolute_error 0.392798 mean_prior_absolute_error 0.392798 mean_prior_absolute_error 0.392798 mean_prior_absolute_error 0.392798 mean_prior_absolute_error 0.392798 mean_prior_absolute_error 0.392798 mean_prior_absolute_error 0.392798 mean_prior_absolute_error 0.392798 mean_prior_absolute_error 0.392798 mean_prior_absolute_error 0.392798 mean_prior_absolute_error 0.392798 mean_prior_absolute_error 0.392798 mean_prior_absolute_error 0.392798 mean_prior_absolute_error 0.392798 mean_prior_absolute_error 0.392798 mean_prior_absolute_error 0.392798 number_of_instances 1011 [740,271] number_of_instances 1011 [740,271] number_of_instances 1011 [740,271] number_of_instances 1011 [740,271] number_of_instances 1011 [740,271] number_of_instances 1011 [740,271] number_of_instances 1011 [740,271] number_of_instances 1011 [740,271] number_of_instances 1011 [740,271] number_of_instances 1011 [740,271] number_of_instances 1011 [740,271] number_of_instances 1011 [740,271] number_of_instances 1011 [740,271] number_of_instances 1011 [740,271] number_of_instances 1011 [740,271] number_of_instances 1011 [740,271] number_of_instances 1011 [740,271] number_of_instances 1011 [740,271] number_of_instances 1011 [740,271] number_of_instances 1011 [740,271] number_of_instances 1011 [740,271] number_of_instances 1011 [740,271] number_of_instances 1011 [740,271] number_of_instances 1011 [740,271] number_of_instances 1011 [740,271] number_of_instances 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number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1010 [739,271] number_of_instances 1010 [739,271] number_of_instances 1010 [739,271] number_of_instances 1010 [739,271] number_of_instances 1010 [739,271] number_of_instances 1010 [739,271] number_of_instances 1010 [739,271] number_of_instances 1010 [739,271] number_of_instances 1010 [739,271] number_of_instances 1010 [739,271] number_of_instances 1010 [739,271] number_of_instances 1010 [739,271] number_of_instances 1010 [739,271] number_of_instances 1010 [739,271] number_of_instances 1010 [739,271] number_of_instances 1010 [739,271] number_of_instances 1010 [739,271] number_of_instances 1010 [739,271] number_of_instances 1010 [739,271] number_of_instances 1010 [739,271] precision 0.881886 [0.921196,0.774545] precision 0.89911 [0.931081,0.811808] precision 0.901844 [0.935967,0.808664] precision 0.911668 [0.942779,0.826715] precision 0.898201 [0.934426,0.799283] precision 0.907535 [0.924084,0.862348] precision 0.89764 [0.932065,0.803636] precision 0.896266 [0.929635,0.805147] precision 0.894471 [0.918314,0.829365] precision 0.892314 [0.926928,0.797794] precision 0.912957 [0.940541,0.837638] precision 0.893189 [0.922563,0.812977] precision 0.890093 [0.92,0.808429] precision 0.9033 [0.934959,0.81685] precision 0.897385 [0.918635,0.839357] precision 0.90466 [0.937415,0.815217] precision 0.886124 [0.925068,0.779783] precision 0.90451 [0.943292,0.798611] precision 0.888362 [0.924222,0.790441] precision 0.898879 [0.924303,0.829457] precision 0.910561 [0.941497,0.826087] precision 0.904408 [0.936228,0.817518] precision 0.900162 [0.935792,0.802867] precision 0.896472 [0.926273,0.815094] precision 0.909221 [0.939024,0.827839] precision 0.897132 [0.92973,0.808118] precision 0.909001 [0.937838,0.830258] precision 0.898493 [0.932157,0.806569] precision 0.891732 [0.927989,0.792727] precision 0.894479 [0.924933,0.811321] precision 0.891456 [0.92673,0.79562] precision 0.896741 [0.921751,0.828794] precision 0.892491 [0.92349,0.808271] precision 0.883284 [0.920162,0.783088] precision 0.890718 [0.923284,0.802239] precision 0.895669 [0.92053,0.828125] precision 0.880611 [0.911141,0.797665] precision 0.897956 [0.924101,0.826923] precision 0.874329 [0.91678,0.758993] precision 0.898004 [0.92973,0.811808] precision 0.894548 [0.929348,0.8] precision 0.897132 [0.929635,0.808824] precision 0.897363 [0.934247,0.797153] precision 0.897636 [0.931973,0.804348] precision 0.871736 [0.900524,0.793522] precision 0.894273 [0.931601,0.792857] precision 0.897069 [0.93306,0.799283] precision 0.885941 [0.927198,0.773852] precision 0.896788 [0.93188,0.801444] precision 0.901752 [0.931267,0.821561] precision 0.898882 [0.929825,0.814815] precision 0.886662 [0.923913,0.785455] precision 0.886952 [0.925068,0.783394] precision 0.905926 [0.935135,0.826568] precision 0.887896 [0.928571,0.777385] precision 0.895231 [0.935172,0.786713] precision 0.886514 [0.919463,0.796992] precision 0.898889 [0.924202,0.830116] precision 0.914048 [0.941734,0.838828] precision 0.907157 [0.941096,0.814947] precision 0.893592 [0.924731,0.808989] precision 0.891806 [0.931319,0.784452] precision 0.903544 [0.936054,0.815217] precision 0.893979 [0.930423,0.794964] precision 0.900217 [0.932249,0.813187] precision 0.911074 [0.943836,0.822064] precision 0.903544 [0.936054,0.815217] precision 0.883884 [0.919137,0.788104] precision 0.905722 [0.933962,0.828996] precision 0.898882 [0.929825,0.814815] precision 0.897636 [0.931973,0.804348] precision 0.895404 [0.929444,0.80292] precision 0.910773 [0.929894,0.858824] precision 0.889482 [0.925373,0.791971] precision 0.900281 [0.927711,0.825758] precision 0.898004 [0.92973,0.811808] precision 0.897377 [0.926273,0.818868] precision 0.904975 [0.942069,0.804196] precision 0.886662 [0.923913,0.785455] precision 0.880611 [0.911141,0.797665] precision 0.888854 [0.932133,0.770833] precision 0.89505 [0.928281,0.804428] precision 0.878353 [0.925104,0.750865] precision 0.900793 [0.925532,0.833333] precision 0.897898 [0.936639,0.792254] precision 0.884875 [0.916,0.8] precision 0.903262 [0.930295,0.829545] precision 0.908486 [0.943604,0.812721] precision 0.904831 [0.938525,0.81295] precision 0.885384 [0.928276,0.768421] precision 0.891513 [0.917881,0.819608] precision 0.894185 [0.928184,0.801471] precision 0.902096 [0.933604,0.816176] precision 0.881472 [0.919946,0.776557] precision 0.900668 [0.938102,0.798587] precision 0.878362 [0.917344,0.772059] precision 0.896441 [0.934156,0.793594] precision 0.891084 [0.913499,0.82996] precision 0.907815 [0.936486,0.82963] precision 0.902025 [0.937073,0.806452] predictive_accuracy 0.881306 predictive_accuracy 0.89911 predictive_accuracy 0.901088 predictive_accuracy 0.910979 predictive_accuracy 0.897132 predictive_accuracy 0.909001 predictive_accuracy 0.897132 predictive_accuracy 0.896142 predictive_accuracy 0.896142 predictive_accuracy 0.892186 predictive_accuracy 0.912957 predictive_accuracy 0.894164 predictive_accuracy 0.891197 predictive_accuracy 0.903066 predictive_accuracy 0.89911 predictive_accuracy 0.904055 predictive_accuracy 0.885262 predictive_accuracy 0.902077 predictive_accuracy 0.888229 predictive_accuracy 0.900099 predictive_accuracy 0.90999 predictive_accuracy 0.904055 predictive_accuracy 0.89911 predictive_accuracy 0.897132 predictive_accuracy 0.909001 predictive_accuracy 0.897132 predictive_accuracy 0.909001 predictive_accuracy 0.898121 predictive_accuracy 0.891197 predictive_accuracy 0.895153 predictive_accuracy 0.891197 predictive_accuracy 0.898121 predictive_accuracy 0.893175 predictive_accuracy 0.883284 predictive_accuracy 0.891197 predictive_accuracy 0.897132 predictive_accuracy 0.882295 predictive_accuracy 0.89911 predictive_accuracy 0.873393 predictive_accuracy 0.898121 predictive_accuracy 0.894164 predictive_accuracy 0.897132 predictive_accuracy 0.896142 predictive_accuracy 0.897132 predictive_accuracy 0.874382 predictive_accuracy 0.893175 predictive_accuracy 0.896142 predictive_accuracy 0.884273 predictive_accuracy 0.896142 predictive_accuracy 0.902077 predictive_accuracy 0.89911 predictive_accuracy 0.886251 predictive_accuracy 0.886251 predictive_accuracy 0.906034 predictive_accuracy 0.886251 predictive_accuracy 0.893175 predictive_accuracy 0.88724 predictive_accuracy 0.900099 predictive_accuracy 0.913947 predictive_accuracy 0.906034 predictive_accuracy 0.894164 predictive_accuracy 0.890208 predictive_accuracy 0.903066 predictive_accuracy 0.893175 predictive_accuracy 0.900099 predictive_accuracy 0.90999 predictive_accuracy 0.903066 predictive_accuracy 0.884273 predictive_accuracy 0.906034 predictive_accuracy 0.89911 predictive_accuracy 0.897132 predictive_accuracy 0.895153 predictive_accuracy 0.911968 predictive_accuracy 0.889219 predictive_accuracy 0.901088 predictive_accuracy 0.898121 predictive_accuracy 0.898121 predictive_accuracy 0.903066 predictive_accuracy 0.886251 predictive_accuracy 0.882295 predictive_accuracy 0.886139 predictive_accuracy 0.89505 predictive_accuracy 0.875248 predictive_accuracy 0.90198 predictive_accuracy 0.89604 predictive_accuracy 0.886139 predictive_accuracy 0.90396 predictive_accuracy 0.906931 predictive_accuracy 0.90396 predictive_accuracy 0.883168 predictive_accuracy 0.893069 predictive_accuracy 0.894059 predictive_accuracy 0.90198 predictive_accuracy 0.881188 predictive_accuracy 0.89901 predictive_accuracy 0.878218 predictive_accuracy 0.89505 predictive_accuracy 0.893069 predictive_accuracy 0.907921 predictive_accuracy 0.90099 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 recall 0.881306 [0.916216,0.785978] recall 0.89911 [0.931081,0.811808] recall 0.901088 [0.928378,0.826568] recall 0.910979 [0.935135,0.845018] recall 0.897132 [0.924324,0.822878] recall 0.909001 [0.954054,0.785978] recall 0.897132 [0.927027,0.815498] recall 0.896142 [0.928378,0.808118] recall 0.896142 [0.941892,0.771218] recall 0.892186 [0.925676,0.800738] recall 0.912957 [0.940541,0.837638] recall 0.894164 [0.933784,0.785978] recall 0.891197 [0.932432,0.778598] recall 0.903066 [0.932432,0.822878] recall 0.89911 [0.945946,0.771218] recall 0.904055 [0.931081,0.830258] recall 0.885262 [0.917568,0.797048] recall 0.902077 [0.921622,0.848708] recall 0.888229 [0.922973,0.793358] recall 0.900099 [0.940541,0.789668] recall 0.90999 [0.935135,0.841328] recall 0.904055 [0.932432,0.826568] recall 0.89911 [0.925676,0.826568] recall 0.897132 [0.933784,0.797048] recall 0.909001 [0.936486,0.833948] recall 0.897132 [0.92973,0.808118] recall 0.909001 [0.937838,0.830258] recall 0.898121 [0.928378,0.815498] recall 0.891197 [0.922973,0.804428] recall 0.895153 [0.932432,0.793358] recall 0.891197 [0.924222,0.801471] recall 0.898121 [0.94046,0.783088] recall 0.893175 [0.930988,0.790441] recall 0.883284 [0.920162,0.783088] recall 0.891197 [0.928281,0.790441] recall 0.897132 [0.94046,0.779412] recall 0.882295 [0.929635,0.753676] recall 0.89911 [0.939107,0.790441] recall 0.873393 [0.909337,0.775735] recall 0.898121 [0.930988,0.808824] recall 0.894164 [0.925575,0.808824] recall 0.897132 [0.929635,0.808824] recall 0.896142 [0.922869,0.823529] recall 0.897132 [0.926928,0.816176] recall 0.874382 [0.930988,0.720588] recall 0.893175 [0.921516,0.816176] recall 0.896142 [0.924222,0.819853] recall 0.884273 [0.913396,0.805147] recall 0.896142 [0.925575,0.816176] recall 0.902077 [0.935047,0.8125] recall 0.89911 [0.932341,0.808824] recall 0.886251 [0.920162,0.794118] recall 0.886251 [0.918809,0.797794] recall 0.906034 [0.936401,0.823529] recall 0.886251 [0.91475,0.808824] recall 0.893175 [0.917456,0.827206] recall 0.88724 [0.926928,0.779412] recall 0.900099 [0.94046,0.790441] recall 0.913947 [0.94046,0.841912] recall 0.906034 [0.929635,0.841912] recall 0.894164 [0.930988,0.794118] recall 0.890208 [0.917456,0.816176] recall 0.903066 [0.930988,0.827206] recall 0.893175 [0.922869,0.8125] recall 0.900099 [0.930988,0.816176] recall 0.90999 [0.932341,0.849265] recall 0.903066 [0.930988,0.827206] recall 0.884273 [0.922869,0.779412] recall 0.906034 [0.937754,0.819853] recall 0.89911 [0.932341,0.808824] recall 0.897132 [0.926928,0.816176] recall 0.895153 [0.926928,0.808824] recall 0.911968 [0.951286,0.805147] recall 0.889219 [0.922869,0.797794] recall 0.901088 [0.937754,0.801471] recall 0.898121 [0.930988,0.808824] recall 0.898121 [0.935047,0.797794] recall 0.903066 [0.924222,0.845588] recall 0.886251 [0.920162,0.794118] recall 0.882295 [0.929635,0.753676] recall 0.886139 [0.91069,0.819188] recall 0.89505 [0.928281,0.804428] recall 0.875248 [0.902571,0.800738] recall 0.90198 [0.941813,0.793358] recall 0.89604 [0.920162,0.830258] recall 0.886139 [0.929635,0.767528] recall 0.90396 [0.939107,0.808118] recall 0.906931 [0.928281,0.848708] recall 0.90396 [0.929635,0.833948] recall 0.883168 [0.91069,0.808118] recall 0.893069 [0.937754,0.771218] recall 0.894059 [0.926928,0.804428] recall 0.90198 [0.932341,0.819188] recall 0.881188 [0.917456,0.782288] recall 0.89901 [0.922869,0.833948] recall 0.878218 [0.916103,0.774908] recall 0.89505 [0.921516,0.822878] recall 0.893069 [0.943166,0.756458] recall 0.907921 [0.937754,0.826568] recall 0.90099 [0.926928,0.830258] relative_absolute_error 0.512058 relative_absolute_error 0.518807 relative_absolute_error 0.508078 relative_absolute_error 0.465204 relative_absolute_error 0.484856 relative_absolute_error 0.488253 relative_absolute_error 0.48688 relative_absolute_error 0.494281 relative_absolute_error 0.475863 relative_absolute_error 0.478381 relative_absolute_error 0.467725 relative_absolute_error 0.512714 relative_absolute_error 0.501625 relative_absolute_error 0.477939 relative_absolute_error 0.495773 relative_absolute_error 0.480039 relative_absolute_error 0.492302 relative_absolute_error 0.523116 relative_absolute_error 0.509022 relative_absolute_error 0.483914 relative_absolute_error 0.45514 relative_absolute_error 0.485015 relative_absolute_error 0.494177 relative_absolute_error 0.515442 relative_absolute_error 0.473325 relative_absolute_error 0.461006 relative_absolute_error 0.46986 relative_absolute_error 0.531283 relative_absolute_error 0.496673 relative_absolute_error 0.473242 relative_absolute_error 0.51484 relative_absolute_error 0.515348 relative_absolute_error 0.476389 relative_absolute_error 0.514147 relative_absolute_error 0.516742 relative_absolute_error 0.494627 relative_absolute_error 0.521316 relative_absolute_error 0.473471 relative_absolute_error 0.505731 relative_absolute_error 0.473722 relative_absolute_error 0.504983 relative_absolute_error 0.484876 relative_absolute_error 0.499803 relative_absolute_error 0.488857 relative_absolute_error 0.518051 relative_absolute_error 0.488358 relative_absolute_error 0.475543 relative_absolute_error 0.47226 relative_absolute_error 0.493176 relative_absolute_error 0.494745 relative_absolute_error 0.507214 relative_absolute_error 0.51577 relative_absolute_error 0.500505 relative_absolute_error 0.483427 relative_absolute_error 0.503981 relative_absolute_error 0.532653 relative_absolute_error 0.515324 relative_absolute_error 0.471342 relative_absolute_error 0.445088 relative_absolute_error 0.501148 relative_absolute_error 0.474671 relative_absolute_error 0.476916 relative_absolute_error 0.516984 relative_absolute_error 0.513349 relative_absolute_error 0.468728 relative_absolute_error 0.468629 relative_absolute_error 0.503739 relative_absolute_error 0.498294 relative_absolute_error 0.465823 relative_absolute_error 0.495813 relative_absolute_error 0.519882 relative_absolute_error 0.50298 relative_absolute_error 0.460706 relative_absolute_error 0.526867 relative_absolute_error 0.498183 relative_absolute_error 0.488778 relative_absolute_error 0.498172 relative_absolute_error 0.49698 relative_absolute_error 0.5111 relative_absolute_error 0.52175 relative_absolute_error 0.485321 relative_absolute_error 0.484585 relative_absolute_error 0.508097 relative_absolute_error 0.488183 relative_absolute_error 0.531651 relative_absolute_error 0.519769 relative_absolute_error 0.461292 relative_absolute_error 0.466666 relative_absolute_error 0.486105 relative_absolute_error 0.501448 relative_absolute_error 0.49855 relative_absolute_error 0.49849 relative_absolute_error 0.490648 relative_absolute_error 0.492522 relative_absolute_error 0.49487 relative_absolute_error 0.496673 relative_absolute_error 0.49157 relative_absolute_error 0.510361 relative_absolute_error 0.483708 relative_absolute_error 0.492385 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443084 root_mean_prior_squared_error 0.443084 root_mean_prior_squared_error 0.443084 root_mean_prior_squared_error 0.443084 root_mean_prior_squared_error 0.443084 root_mean_prior_squared_error 0.443084 root_mean_prior_squared_error 0.443084 root_mean_prior_squared_error 0.443084 root_mean_prior_squared_error 0.443084 root_mean_prior_squared_error 0.443084 root_mean_prior_squared_error 0.443084 root_mean_prior_squared_error 0.443084 root_mean_prior_squared_error 0.443084 root_mean_prior_squared_error 0.443084 root_mean_prior_squared_error 0.443084 root_mean_prior_squared_error 0.443084 root_mean_prior_squared_error 0.443084 root_mean_prior_squared_error 0.443084 root_mean_prior_squared_error 0.443084 root_mean_prior_squared_error 0.443084 root_mean_squared_error 0.293313 root_mean_squared_error 0.286285 root_mean_squared_error 0.28061 root_mean_squared_error 0.270812 root_mean_squared_error 0.282396 root_mean_squared_error 0.280315 root_mean_squared_error 0.280407 root_mean_squared_error 0.280029 root_mean_squared_error 0.28356 root_mean_squared_error 0.282186 root_mean_squared_error 0.272192 root_mean_squared_error 0.286925 root_mean_squared_error 0.288292 root_mean_squared_error 0.273094 root_mean_squared_error 0.28368 root_mean_squared_error 0.277679 root_mean_squared_error 0.282902 root_mean_squared_error 0.285093 root_mean_squared_error 0.288625 root_mean_squared_error 0.278549 root_mean_squared_error 0.270029 root_mean_squared_error 0.274235 root_mean_squared_error 0.284026 root_mean_squared_error 0.284663 root_mean_squared_error 0.270124 root_mean_squared_error 0.273866 root_mean_squared_error 0.276574 root_mean_squared_error 0.288363 root_mean_squared_error 0.286467 root_mean_squared_error 0.283383 root_mean_squared_error 0.288741 root_mean_squared_error 0.288996 root_mean_squared_error 0.282058 root_mean_squared_error 0.29263 root_mean_squared_error 0.285787 root_mean_squared_error 0.2803 root_mean_squared_error 0.299208 root_mean_squared_error 0.282554 root_mean_squared_error 0.290833 root_mean_squared_error 0.27626 root_mean_squared_error 0.286104 root_mean_squared_error 0.277869 root_mean_squared_error 0.283574 root_mean_squared_error 0.28514 root_mean_squared_error 0.295238 root_mean_squared_error 0.283917 root_mean_squared_error 0.277325 root_mean_squared_error 0.282155 root_mean_squared_error 0.283353 root_mean_squared_error 0.281528 root_mean_squared_error 0.281348 root_mean_squared_error 0.287209 root_mean_squared_error 0.287843 root_mean_squared_error 0.278786 root_mean_squared_error 0.288472 root_mean_squared_error 0.290844 root_mean_squared_error 0.28725 root_mean_squared_error 0.278187 root_mean_squared_error 0.26243 root_mean_squared_error 0.279681 root_mean_squared_error 0.277884 root_mean_squared_error 0.283365 root_mean_squared_error 0.282733 root_mean_squared_error 0.285123 root_mean_squared_error 0.272662 root_mean_squared_error 0.272194 root_mean_squared_error 0.280615 root_mean_squared_error 0.288417 root_mean_squared_error 0.272566 root_mean_squared_error 0.277497 root_mean_squared_error 0.285481 root_mean_squared_error 0.28527 root_mean_squared_error 0.272179 root_mean_squared_error 0.289662 root_mean_squared_error 0.280775 root_mean_squared_error 0.278675 root_mean_squared_error 0.282181 root_mean_squared_error 0.28083 root_mean_squared_error 0.289982 root_mean_squared_error 0.292212 root_mean_squared_error 0.285289 root_mean_squared_error 0.282787 root_mean_squared_error 0.291742 root_mean_squared_error 0.278294 root_mean_squared_error 0.288212 root_mean_squared_error 0.289773 root_mean_squared_error 0.272265 root_mean_squared_error 0.272672 root_mean_squared_error 0.280169 root_mean_squared_error 0.291206 root_mean_squared_error 0.281703 root_mean_squared_error 0.28659 root_mean_squared_error 0.276111 root_mean_squared_error 0.289202 root_mean_squared_error 0.283198 root_mean_squared_error 0.290288 root_mean_squared_error 0.283247 root_mean_squared_error 0.288305 root_mean_squared_error 0.279447 root_mean_squared_error 0.278395 root_relative_squared_error 0.662189 root_relative_squared_error 0.646322 root_relative_squared_error 0.63351 root_relative_squared_error 0.611391 root_relative_squared_error 0.637543 root_relative_squared_error 0.632844 root_relative_squared_error 0.633051 root_relative_squared_error 0.632197 root_relative_squared_error 0.640171 root_relative_squared_error 0.637068 root_relative_squared_error 0.614505 root_relative_squared_error 0.647768 root_relative_squared_error 0.650853 root_relative_squared_error 0.616541 root_relative_squared_error 0.640441 root_relative_squared_error 0.626893 root_relative_squared_error 0.638685 root_relative_squared_error 0.643632 root_relative_squared_error 0.651605 root_relative_squared_error 0.628857 root_relative_squared_error 0.609622 root_relative_squared_error 0.619118 root_relative_squared_error 0.641221 root_relative_squared_error 0.64266 root_relative_squared_error 0.609837 root_relative_squared_error 0.618284 root_relative_squared_error 0.624397 root_relative_squared_error 0.651012 root_relative_squared_error 0.646733 root_relative_squared_error 0.63977 root_relative_squared_error 0.651108 root_relative_squared_error 0.651682 root_relative_squared_error 0.636039 root_relative_squared_error 0.659877 root_relative_squared_error 0.644446 root_relative_squared_error 0.632073 root_relative_squared_error 0.67471 root_relative_squared_error 0.637157 root_relative_squared_error 0.655825 root_relative_squared_error 0.622964 root_relative_squared_error 0.645162 root_relative_squared_error 0.626591 root_relative_squared_error 0.639456 root_relative_squared_error 0.642988 root_relative_squared_error 0.665758 root_relative_squared_error 0.64023 root_relative_squared_error 0.625364 root_relative_squared_error 0.636256 root_relative_squared_error 0.638958 root_relative_squared_error 0.634843 root_relative_squared_error 0.634436 root_relative_squared_error 0.647652 root_relative_squared_error 0.649083 root_relative_squared_error 0.628659 root_relative_squared_error 0.650502 root_relative_squared_error 0.655849 root_relative_squared_error 0.647745 root_relative_squared_error 0.627309 root_relative_squared_error 0.591777 root_relative_squared_error 0.630677 root_relative_squared_error 0.626626 root_relative_squared_error 0.638985 root_relative_squared_error 0.63756 root_relative_squared_error 0.642949 root_relative_squared_error 0.614851 root_relative_squared_error 0.613794 root_relative_squared_error 0.632785 root_relative_squared_error 0.650376 root_relative_squared_error 0.614633 root_relative_squared_error 0.625752 root_relative_squared_error 0.643756 root_relative_squared_error 0.643279 root_relative_squared_error 0.61376 root_relative_squared_error 0.653185 root_relative_squared_error 0.633145 root_relative_squared_error 0.62841 root_relative_squared_error 0.636315 root_relative_squared_error 0.633268 root_relative_squared_error 0.653907 root_relative_squared_error 0.658934 root_relative_squared_error 0.643872 root_relative_squared_error 0.638224 root_relative_squared_error 0.658435 root_relative_squared_error 0.628084 root_relative_squared_error 0.650469 root_relative_squared_error 0.653992 root_relative_squared_error 0.614478 root_relative_squared_error 0.615397 root_relative_squared_error 0.632317 root_relative_squared_error 0.657227 root_relative_squared_error 0.635779 root_relative_squared_error 0.646808 root_relative_squared_error 0.623158 root_relative_squared_error 0.652703 root_relative_squared_error 0.639153 root_relative_squared_error 0.655155 root_relative_squared_error 0.639264 root_relative_squared_error 0.65068 root_relative_squared_error 0.630687 root_relative_squared_error 0.628313 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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 2130 usercpu_time_millis 1040 usercpu_time_millis 1300 usercpu_time_millis 1300 usercpu_time_millis 1510 usercpu_time_millis 1400 usercpu_time_millis 2090 usercpu_time_millis 880 usercpu_time_millis 1270 usercpu_time_millis 1710 usercpu_time_millis 2530 usercpu_time_millis 1410 usercpu_time_millis 1270 usercpu_time_millis 1460 usercpu_time_millis 1630 usercpu_time_millis 1660 usercpu_time_millis 2530 usercpu_time_millis 1200 usercpu_time_millis 1340 usercpu_time_millis 1600 usercpu_time_millis 1480 usercpu_time_millis 1250 usercpu_time_millis 1330 usercpu_time_millis 1340 usercpu_time_millis 1640 usercpu_time_millis 1700 usercpu_time_millis 2170 usercpu_time_millis 1190 usercpu_time_millis 1450 usercpu_time_millis 1580 usercpu_time_millis 1590 usercpu_time_millis 1590 usercpu_time_millis 1510 usercpu_time_millis 1380 usercpu_time_millis 1680 usercpu_time_millis 1540 usercpu_time_millis 1880 usercpu_time_millis 1230 usercpu_time_millis 1770 usercpu_time_millis 1660 usercpu_time_millis 2170 usercpu_time_millis 840 usercpu_time_millis 1400 usercpu_time_millis 1400 usercpu_time_millis 1550 usercpu_time_millis 1530 usercpu_time_millis 1800 usercpu_time_millis 1290 usercpu_time_millis 1800 usercpu_time_millis 1500 usercpu_time_millis 1040 usercpu_time_millis 1160 usercpu_time_millis 1270 usercpu_time_millis 1350 usercpu_time_millis 1460 usercpu_time_millis 1400 usercpu_time_millis 1730 usercpu_time_millis 1270 usercpu_time_millis 1790 usercpu_time_millis 1480 usercpu_time_millis 1090 usercpu_time_millis 1630 usercpu_time_millis 1230 usercpu_time_millis 1550 usercpu_time_millis 1310 usercpu_time_millis 1730 usercpu_time_millis 1400 usercpu_time_millis 1330 usercpu_time_millis 1640 usercpu_time_millis 1340 usercpu_time_millis 1080 usercpu_time_millis 1300 usercpu_time_millis 1190 usercpu_time_millis 1850 usercpu_time_millis 1430 usercpu_time_millis 1680 usercpu_time_millis 1430 usercpu_time_millis 1290 usercpu_time_millis 1470 usercpu_time_millis 1580 usercpu_time_millis 1120 usercpu_time_millis 1280 usercpu_time_millis 1150 usercpu_time_millis 1410 usercpu_time_millis 1300 usercpu_time_millis 2000 usercpu_time_millis 1520 usercpu_time_millis 1280 usercpu_time_millis 1650 usercpu_time_millis 1310 usercpu_time_millis 1080 usercpu_time_millis 1310 usercpu_time_millis 1250 usercpu_time_millis 1360 usercpu_time_millis 1530 usercpu_time_millis 2060 usercpu_time_millis 1290 usercpu_time_millis 1210 usercpu_time_millis 1720 usercpu_time_millis 1210 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 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 0 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