425805 2 Joaquin Vanschoren 4417 Supervised Classification predictive_accuracy 1195 weka.RealAdaBoost_DecisionStump(2) 2058 weka.classifiers.meta.RealAdaBoost -- -P 100 -H 1.0 -S 1 -I 20 -W weka.classifiers.trees.DecisionStump P 100 1195 H 1.0 1195 S 1 1195 I 20 1195 W weka.classifiers.trees.DecisionStump 1195 weka weka_3.7.12 847 wind https://www.openml.org/data/download/53381/wind.arff -1 1488379 description https://api.openml.org/data/download/1488379/weka_generated_run274735062158167631.xml -1 1488382 model_readable https://api.openml.org/data/download/1488382/WekaModel_weka.classifiers.meta.RealAdaBoost8805883198371082400.model -1 1488381 model_serialized https://api.openml.org/data/download/1488381/WekaSerialized_weka.classifiers.meta.RealAdaBoost2487878315966087620.model -1 1488380 predictions https://api.openml.org/data/download/1488380/weka_generated_predictions6237521309908420245.arff area_under_roc_curve 0.912098 [0.912098,0.912098] average_cost 0 f_measure 0.826869 [0.836659,0.815714] kappa 0.652382 kb_relative_information_score 38330.559415 mean_absolute_error 0.216932 mean_prior_absolute_error 0.497881 number_of_instances 65740 [35010,30730] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.826958 [0.840506,0.811524] predictive_accuracy 0.826818 prior_entropy 0.996942 recall 0.826818 [0.832848,0.819948] relative_absolute_error 0.435709 root_mean_prior_squared_error 0.498939 root_mean_squared_error 0.350268 root_relative_squared_error 0.702024 scimark_benchmark 929.029636 [552.3244181537359, 986.6640759094493, 479.3490265306122, 897.4460789375264, 1729.364580914293] total_cost 0 usercpu_time_millis 160 usercpu_time_millis_testing 0 usercpu_time_millis_training 160 area_under_roc_curve 0.910122 [0.910122,0.910122] area_under_roc_curve 0.908372 [0.908372,0.908372] area_under_roc_curve 0.917458 [0.917458,0.917458] area_under_roc_curve 0.918729 [0.918729,0.918729] area_under_roc_curve 0.904257 [0.904257,0.904257] area_under_roc_curve 0.926627 [0.926627,0.926627] area_under_roc_curve 0.935445 [0.935445,0.935445] area_under_roc_curve 0.915425 [0.915425,0.915425] area_under_roc_curve 0.912201 [0.912201,0.912201] area_under_roc_curve 0.90331 [0.90331,0.90331] area_under_roc_curve 0.903302 [0.903302,0.903302] area_under_roc_curve 0.914801 [0.914801,0.914801] area_under_roc_curve 0.90667 [0.90667,0.90667] area_under_roc_curve 0.914249 [0.914249,0.914249] area_under_roc_curve 0.933075 [0.933075,0.933075] area_under_roc_curve 0.907737 [0.907737,0.907737] area_under_roc_curve 0.920793 [0.920793,0.920793] area_under_roc_curve 0.899263 [0.899263,0.899263] area_under_roc_curve 0.925663 [0.925663,0.925663] area_under_roc_curve 0.914972 [0.914972,0.914972] area_under_roc_curve 0.930246 [0.930246,0.930246] area_under_roc_curve 0.919745 [0.919745,0.919745] area_under_roc_curve 0.907532 [0.907532,0.907532] area_under_roc_curve 0.92102 [0.92102,0.92102] area_under_roc_curve 0.921586 [0.921586,0.921586] area_under_roc_curve 0.903135 [0.903135,0.903135] area_under_roc_curve 0.906712 [0.906712,0.906712] area_under_roc_curve 0.926614 [0.926614,0.926614] area_under_roc_curve 0.922913 [0.922913,0.922913] area_under_roc_curve 0.918358 [0.918358,0.918358] area_under_roc_curve 0.896939 [0.896939,0.896939] area_under_roc_curve 0.916172 [0.916172,0.916172] area_under_roc_curve 0.907597 [0.907597,0.907597] area_under_roc_curve 0.914479 [0.914479,0.914479] area_under_roc_curve 0.921252 [0.921252,0.921252] area_under_roc_curve 0.892644 [0.892644,0.892644] area_under_roc_curve 0.916734 [0.916734,0.916734] area_under_roc_curve 0.90808 [0.90808,0.90808] area_under_roc_curve 0.907843 [0.907843,0.907843] area_under_roc_curve 0.920895 [0.920895,0.920895] area_under_roc_curve 0.900298 [0.900298,0.900298] area_under_roc_curve 0.880931 [0.880931,0.880931] area_under_roc_curve 0.917906 [0.917906,0.917906] area_under_roc_curve 0.88779 [0.88779,0.88779] area_under_roc_curve 0.897487 [0.897487,0.897487] area_under_roc_curve 0.903416 [0.903416,0.903416] area_under_roc_curve 0.91336 [0.91336,0.91336] area_under_roc_curve 0.912797 [0.912797,0.912797] area_under_roc_curve 0.916105 [0.916105,0.916105] area_under_roc_curve 0.914276 [0.914276,0.914276] area_under_roc_curve 0.895216 [0.895216,0.895216] area_under_roc_curve 0.928739 [0.928739,0.928739] area_under_roc_curve 0.924909 [0.924909,0.924909] area_under_roc_curve 0.910777 [0.910777,0.910777] area_under_roc_curve 0.900247 [0.900247,0.900247] area_under_roc_curve 0.920568 [0.920568,0.920568] area_under_roc_curve 0.887994 [0.887994,0.887994] area_under_roc_curve 0.918376 [0.918376,0.918376] area_under_roc_curve 0.910307 [0.910307,0.910307] area_under_roc_curve 0.913993 [0.913993,0.913993] area_under_roc_curve 0.922694 [0.922694,0.922694] area_under_roc_curve 0.922629 [0.922629,0.922629] area_under_roc_curve 0.912899 [0.912899,0.912899] area_under_roc_curve 0.919418 [0.919418,0.919418] area_under_roc_curve 0.920088 [0.920088,0.920088] area_under_roc_curve 0.907925 [0.907925,0.907925] area_under_roc_curve 0.909242 [0.909242,0.909242] area_under_roc_curve 0.927157 [0.927157,0.927157] area_under_roc_curve 0.906598 [0.906598,0.906598] area_under_roc_curve 0.889819 [0.889819,0.889819] area_under_roc_curve 0.908492 [0.908492,0.908492] area_under_roc_curve 0.895081 [0.895081,0.895081] area_under_roc_curve 0.889172 [0.889172,0.889172] area_under_roc_curve 0.903797 [0.903797,0.903797] area_under_roc_curve 0.898972 [0.898972,0.898972] area_under_roc_curve 0.920247 [0.920247,0.920247] area_under_roc_curve 0.911145 [0.911145,0.911145] area_under_roc_curve 0.916375 [0.916375,0.916375] area_under_roc_curve 0.896212 [0.896212,0.896212] area_under_roc_curve 0.915542 [0.915542,0.915542] area_under_roc_curve 0.914332 [0.914332,0.914332] area_under_roc_curve 0.909888 [0.909888,0.909888] area_under_roc_curve 0.92698 [0.92698,0.92698] area_under_roc_curve 0.931573 [0.931573,0.931573] area_under_roc_curve 0.908269 [0.908269,0.908269] area_under_roc_curve 0.910935 [0.910935,0.910935] area_under_roc_curve 0.903374 [0.903374,0.903374] area_under_roc_curve 0.874621 [0.874621,0.874621] area_under_roc_curve 0.924909 [0.924909,0.924909] area_under_roc_curve 0.902331 [0.902331,0.902331] area_under_roc_curve 0.900014 [0.900014,0.900014] area_under_roc_curve 0.92194 [0.92194,0.92194] area_under_roc_curve 0.896203 [0.896203,0.896203] area_under_roc_curve 0.90872 [0.90872,0.90872] area_under_roc_curve 0.909125 [0.909125,0.909125] area_under_roc_curve 0.92195 [0.92195,0.92195] area_under_roc_curve 0.915226 [0.915226,0.915226] area_under_roc_curve 0.906557 [0.906557,0.906557] area_under_roc_curve 0.902206 [0.902206,0.902206] area_under_roc_curve 0.899809 [0.899809,0.899809] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.832938 [0.841499,0.823151] f_measure 0.829629 [0.841808,0.815789] f_measure 0.852114 [0.865837,0.836425] f_measure 0.834509 [0.838519,0.829953] f_measure 0.810222 [0.818049,0.801272] f_measure 0.848172 [0.854651,0.840764] f_measure 0.864668 [0.873759,0.854337] f_measure 0.820589 [0.832861,0.806557] f_measure 0.826916 [0.834302,0.818471] f_measure 0.816315 [0.82232,0.809449] f_measure 0.82678 [0.836676,0.815534] f_measure 0.831423 [0.839363,0.8224] f_measure 0.83446 [0.842258,0.8256] f_measure 0.819291 [0.822123,0.816074] f_measure 0.846341 [0.857546,0.833608] f_measure 0.83144 [0.838897,0.822967] f_measure 0.84041 [0.850214,0.829268] f_measure 0.804005 [0.814921,0.791599] f_measure 0.831473 [0.837482,0.824645] f_measure 0.838663 [0.851124,0.824503] f_measure 0.857249 [0.863768,0.84984] f_measure 0.831215 [0.842553,0.818331] f_measure 0.83396 [0.847978,0.81803] f_measure 0.829752 [0.840456,0.81759] f_measure 0.837456 [0.846043,0.827697] f_measure 0.822265 [0.831655,0.811594] f_measure 0.828441 [0.834068,0.822047] f_measure 0.847993 [0.85755,0.837134] f_measure 0.837166 [0.849508,0.82314] f_measure 0.832827 [0.842857,0.821429] f_measure 0.811617 [0.821839,0.8] f_measure 0.828412 [0.836469,0.8192] f_measure 0.798062 [0.805839,0.789223] f_measure 0.835953 [0.844828,0.825806] f_measure 0.840255 [0.851904,0.827018] f_measure 0.805615 [0.814493,0.795527] f_measure 0.822387 [0.828194,0.815748] f_measure 0.823443 [0.837079,0.807947] f_measure 0.820802 [0.828986,0.811502] f_measure 0.822368 [0.827179,0.816901] f_measure 0.808318 [0.818444,0.796774] f_measure 0.788491 [0.800574,0.774716] f_measure 0.826665 [0.832845,0.81962] f_measure 0.795903 [0.810198,0.779605] f_measure 0.817492 [0.826087,0.807692] f_measure 0.835363 [0.848315,0.820598] f_measure 0.837184 [0.846485,0.82658] f_measure 0.837286 [0.84425,0.829346] f_measure 0.823575 [0.831884,0.814103] f_measure 0.834192 [0.842713,0.824477] f_measure 0.811134 [0.824363,0.796053] f_measure 0.843388 [0.849195,0.836767] f_measure 0.847402 [0.860724,0.832215] f_measure 0.826617 [0.834783,0.817308] f_measure 0.817126 [0.830986,0.801325] f_measure 0.825011 [0.835007,0.813614] f_measure 0.791697 [0.798825,0.78357] f_measure 0.837312 [0.84195,0.832025] f_measure 0.81707 [0.831461,0.800664] f_measure 0.822022 [0.831169,0.811594] f_measure 0.838744 [0.847262,0.829032] f_measure 0.829561 [0.839542,0.818182] f_measure 0.829492 [0.840456,0.816993] f_measure 0.835413 [0.847887,0.821192] f_measure 0.838691 [0.848138,0.827922] f_measure 0.829317 [0.842254,0.81457] f_measure 0.817352 [0.828571,0.80456] f_measure 0.850891 [0.859195,0.841424] f_measure 0.824979 [0.835479,0.813008] f_measure 0.807497 [0.825967,0.786441] f_measure 0.830648 [0.845188,0.81407] f_measure 0.79919 [0.809798,0.787097] f_measure 0.794738 [0.801762,0.78673] f_measure 0.818726 [0.831683,0.803954] f_measure 0.816883 [0.832869,0.798658] f_measure 0.823606 [0.830904,0.815287] f_measure 0.812938 [0.82148,0.8032] f_measure 0.837154 [0.846924,0.826016] f_measure 0.815848 [0.826896,0.803252] f_measure 0.844557 [0.856338,0.831126] f_measure 0.843056 [0.854725,0.829752] f_measure 0.832604 [0.842407,0.821429] f_measure 0.841808 [0.849711,0.832797] f_measure 0.855558 [0.860088,0.850394] f_measure 0.841762 [0.850575,0.831715] f_measure 0.832537 [0.843305,0.820261] f_measure 0.825831 [0.842541,0.80678] f_measure 0.782576 [0.788774,0.77551] f_measure 0.832537 [0.843305,0.820261] f_measure 0.834265 [0.84041,0.827258] f_measure 0.799241 [0.808696,0.788462] f_measure 0.847689 [0.858357,0.835526] f_measure 0.808179 [0.820513,0.794118] f_measure 0.834041 [0.84495,0.821604] f_measure 0.819059 [0.825769,0.81141] f_measure 0.834256 [0.840876,0.826709] f_measure 0.832537 [0.843305,0.820261] f_measure 0.812725 [0.825036,0.798691] f_measure 0.820588 [0.825959,0.814465] f_measure 0.803036 [0.821082,0.782462] kappa 0.664699 kappa 0.657648 kappa 0.702568 kappa 0.66895 kappa 0.619519 kappa 0.695554 kappa 0.728112 kappa 0.639432 kappa 0.652931 kappa 0.632144 kappa 0.652213 kappa 0.661827 kappa 0.66792 kappa 0.638998 kappa 0.691212 kappa 0.661958 kappa 0.679483 kappa 0.606529 kappa 0.662352 kappa 0.675735 kappa 0.713675 kappa 0.660903 kappa 0.666232 kappa 0.658049 kappa 0.673759 kappa 0.64327 kappa 0.656402 kappa 0.694686 kappa 0.67274 kappa 0.664286 kappa 0.621853 kappa 0.655765 kappa 0.595274 kappa 0.670662 kappa 0.678983 kappa 0.61011 kappa 0.644305 kappa 0.645144 kappa 0.64057 kappa 0.644515 kappa 0.61525 kappa 0.575299 kappa 0.652726 kappa 0.589838 kappa 0.633864 kappa 0.669024 kappa 0.673072 kappa 0.673724 kappa 0.646069 kappa 0.667227 kappa 0.620447 kappa 0.686172 kappa 0.693171 kappa 0.652171 kappa 0.632396 kappa 0.648629 kappa 0.582745 kappa 0.674374 kappa 0.632249 kappa 0.642804 kappa 0.676322 kappa 0.657727 kappa 0.657452 kappa 0.669157 kappa 0.676063 kappa 0.656903 kappa 0.633132 kappa 0.70063 kappa 0.648488 kappa 0.612929 kappa 0.659489 kappa 0.596929 kappa 0.588836 kappa 0.635679 kappa 0.631806 kappa 0.646351 kappa 0.624786 kappa 0.672941 kappa 0.630148 kappa 0.687537 kappa 0.684537 kappa 0.663839 kappa 0.682556 kappa 0.710778 kappa 0.682302 kappa 0.663569 kappa 0.649793 kappa 0.564818 kappa 0.663569 kappa 0.667891 kappa 0.597251 kappa 0.693909 kappa 0.614634 kappa 0.666561 kappa 0.637422 kappa 0.667758 kappa 0.663569 kappa 0.623734 kappa 0.640827 kappa 0.603952 kb_relative_information_score 385.267589 kb_relative_information_score 374.313847 kb_relative_information_score 398.33886 kb_relative_information_score 395.323819 kb_relative_information_score 373.840707 kb_relative_information_score 404.193777 kb_relative_information_score 417.082824 kb_relative_information_score 387.326638 kb_relative_information_score 381.274886 kb_relative_information_score 370.818621 kb_relative_information_score 368.791149 kb_relative_information_score 391.892978 kb_relative_information_score 378.588073 kb_relative_information_score 384.662676 kb_relative_information_score 407.764795 kb_relative_information_score 383.033409 kb_relative_information_score 398.487591 kb_relative_information_score 361.034678 kb_relative_information_score 400.896952 kb_relative_information_score 395.247433 kb_relative_information_score 412.474107 kb_relative_information_score 388.544667 kb_relative_information_score 387.280336 kb_relative_information_score 397.190246 kb_relative_information_score 395.227042 kb_relative_information_score 373.815472 kb_relative_information_score 382.518853 kb_relative_information_score 404.627756 kb_relative_information_score 395.961689 kb_relative_information_score 387.935184 kb_relative_information_score 358.772814 kb_relative_information_score 384.591448 kb_relative_information_score 367.023963 kb_relative_information_score 388.764449 kb_relative_information_score 400.482625 kb_relative_information_score 362.072652 kb_relative_information_score 393.489982 kb_relative_information_score 373.960879 kb_relative_information_score 379.644638 kb_relative_information_score 387.827396 kb_relative_information_score 367.79249 kb_relative_information_score 348.116964 kb_relative_information_score 386.87777 kb_relative_information_score 356.437966 kb_relative_information_score 365.031442 kb_relative_information_score 381.30137 kb_relative_information_score 388.632263 kb_relative_information_score 395.167658 kb_relative_information_score 388.713922 kb_relative_information_score 388.436686 kb_relative_information_score 370.108245 kb_relative_information_score 408.848471 kb_relative_information_score 398.312747 kb_relative_information_score 380.410454 kb_relative_information_score 366.884495 kb_relative_information_score 387.167135 kb_relative_information_score 344.543555 kb_relative_information_score 389.566796 kb_relative_information_score 375.346113 kb_relative_information_score 380.978693 kb_relative_information_score 402.227916 kb_relative_information_score 390.669599 kb_relative_information_score 388.499925 kb_relative_information_score 394.503206 kb_relative_information_score 392.279241 kb_relative_information_score 378.147132 kb_relative_information_score 377.025182 kb_relative_information_score 398.25624 kb_relative_information_score 379.365923 kb_relative_information_score 352.372143 kb_relative_information_score 382.360066 kb_relative_information_score 359.112825 kb_relative_information_score 359.109568 kb_relative_information_score 373.10165 kb_relative_information_score 363.552786 kb_relative_information_score 394.0783 kb_relative_information_score 383.231018 kb_relative_information_score 402.333728 kb_relative_information_score 369.707907 kb_relative_information_score 393.015562 kb_relative_information_score 397.440606 kb_relative_information_score 385.952834 kb_relative_information_score 402.09922 kb_relative_information_score 411.196666 kb_relative_information_score 390.88053 kb_relative_information_score 386.529115 kb_relative_information_score 379.848933 kb_relative_information_score 333.3964 kb_relative_information_score 402.10245 kb_relative_information_score 382.410374 kb_relative_information_score 363.910357 kb_relative_information_score 404.8971 kb_relative_information_score 372.36322 kb_relative_information_score 379.094595 kb_relative_information_score 376.099489 kb_relative_information_score 395.233365 kb_relative_information_score 386.202309 kb_relative_information_score 373.807374 kb_relative_information_score 367.386847 kb_relative_information_score 357.694979 mean_absolute_error 0.216099 mean_absolute_error 0.225111 mean_absolute_error 0.207351 mean_absolute_error 0.208656 mean_absolute_error 0.223049 mean_absolute_error 0.202435 mean_absolute_error 0.193884 mean_absolute_error 0.213548 mean_absolute_error 0.218594 mean_absolute_error 0.225645 mean_absolute_error 0.228976 mean_absolute_error 0.210991 mean_absolute_error 0.221586 mean_absolute_error 0.214983 mean_absolute_error 0.199116 mean_absolute_error 0.217868 mean_absolute_error 0.205719 mean_absolute_error 0.232954 mean_absolute_error 0.2041 mean_absolute_error 0.208688 mean_absolute_error 0.196507 mean_absolute_error 0.213166 mean_absolute_error 0.214351 mean_absolute_error 0.206779 mean_absolute_error 0.208239 mean_absolute_error 0.223503 mean_absolute_error 0.217744 mean_absolute_error 0.201582 mean_absolute_error 0.207435 mean_absolute_error 0.213262 mean_absolute_error 0.235842 mean_absolute_error 0.21645 mean_absolute_error 0.228531 mean_absolute_error 0.213156 mean_absolute_error 0.204907 mean_absolute_error 0.231948 mean_absolute_error 0.209429 mean_absolute_error 0.224214 mean_absolute_error 0.220195 mean_absolute_error 0.213681 mean_absolute_error 0.227626 mean_absolute_error 0.241785 mean_absolute_error 0.213651 mean_absolute_error 0.235594 mean_absolute_error 0.230654 mean_absolute_error 0.218822 mean_absolute_error 0.213258 mean_absolute_error 0.208881 mean_absolute_error 0.2123 mean_absolute_error 0.213206 mean_absolute_error 0.226053 mean_absolute_error 0.198663 mean_absolute_error 0.206813 mean_absolute_error 0.218206 mean_absolute_error 0.228984 mean_absolute_error 0.213338 mean_absolute_error 0.243765 mean_absolute_error 0.212712 mean_absolute_error 0.221994 mean_absolute_error 0.218645 mean_absolute_error 0.202414 mean_absolute_error 0.210183 mean_absolute_error 0.213145 mean_absolute_error 0.208724 mean_absolute_error 0.210275 mean_absolute_error 0.221348 mean_absolute_error 0.221189 mean_absolute_error 0.206942 mean_absolute_error 0.219531 mean_absolute_error 0.239424 mean_absolute_error 0.217808 mean_absolute_error 0.233123 mean_absolute_error 0.233633 mean_absolute_error 0.224114 mean_absolute_error 0.231971 mean_absolute_error 0.208418 mean_absolute_error 0.216454 mean_absolute_error 0.202864 mean_absolute_error 0.227303 mean_absolute_error 0.21049 mean_absolute_error 0.20694 mean_absolute_error 0.215854 mean_absolute_error 0.202948 mean_absolute_error 0.196868 mean_absolute_error 0.211557 mean_absolute_error 0.214373 mean_absolute_error 0.218798 mean_absolute_error 0.251915 mean_absolute_error 0.202615 mean_absolute_error 0.218045 mean_absolute_error 0.230653 mean_absolute_error 0.201098 mean_absolute_error 0.224379 mean_absolute_error 0.220647 mean_absolute_error 0.221637 mean_absolute_error 0.208021 mean_absolute_error 0.214852 mean_absolute_error 0.223484 mean_absolute_error 0.228947 mean_absolute_error 0.235098 mean_prior_absolute_error 0.497824 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497824 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497824 mean_prior_absolute_error 0.497824 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497824 mean_prior_absolute_error 0.497824 mean_prior_absolute_error 0.497824 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497824 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497824 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497824 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 number_of_instances 658 [351,307] number_of_instances 658 [350,308] number_of_instances 658 [351,307] number_of_instances 658 [350,308] number_of_instances 658 [351,307] number_of_instances 658 [351,307] number_of_instances 658 [350,308] number_of_instances 658 [351,307] number_of_instances 658 [351,307] number_of_instances 658 [351,307] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [351,307] number_of_instances 658 [350,308] number_of_instances 658 [351,307] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [351,307] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] precision 0.833296 [0.851312,0.812698] precision 0.829718 [0.832402,0.826667] precision 0.853405 [0.841398,0.867133] precision 0.837081 [0.870769,0.798799] precision 0.811255 [0.83631,0.782609] precision 0.849088 [0.872404,0.82243] precision 0.864694 [0.867606,0.861386] precision 0.82057 [0.828169,0.811881] precision 0.827833 [0.851632,0.800623] precision 0.818182 [0.848485,0.783537] precision 0.826827 [0.83908,0.812903] precision 0.83185 [0.85044,0.810726] precision 0.834887 [0.853372,0.81388] precision 0.823074 [0.862069,0.778761] precision 0.846496 [0.846797,0.846154] precision 0.832038 [0.852507,0.808777] precision 0.840398 [0.849003,0.830619] precision 0.804091 [0.818444,0.787781] precision 0.832748 [0.858859,0.803077] precision 0.838982 [0.837017,0.841216] precision 0.857751 [0.876471,0.836478] precision 0.831219 [0.83662,0.825083] precision 0.834698 [0.828338,0.841924] precision 0.829733 [0.838068,0.820261] precision 0.837622 [0.852174,0.821086] precision 0.822436 [0.837681,0.805112] precision 0.829995 [0.858006,0.798165] precision 0.847978 [0.855114,0.839869] precision 0.837416 [0.836565,0.838384] precision 0.832827 [0.842857,0.821429] precision 0.811743 [0.82659,0.794872] precision 0.829019 [0.85,0.805031] precision 0.79908 [0.823881,0.770898] precision 0.836179 [0.852174,0.817891] precision 0.840401 [0.841226,0.839465] precision 0.806131 [0.826471,0.783019] precision 0.82426 [0.854545,0.789634] precision 0.823729 [0.823204,0.824324] precision 0.821314 [0.841176,0.798742] precision 0.824557 [0.856269,0.78852] precision 0.808552 [0.825581,0.789137] precision 0.788583 [0.804035,0.770968] precision 0.828087 [0.855422,0.796923] precision 0.795897 [0.803371,0.787375] precision 0.81801 [0.838235,0.794953] precision 0.835672 [0.834254,0.837288] precision 0.837264 [0.850144,0.822581] precision 0.838089 [0.860534,0.8125] precision 0.824092 [0.844118,0.801262] precision 0.834478 [0.851312,0.815287] precision 0.811141 [0.817416,0.803987] precision 0.844677 [0.870871,0.814815] precision 0.848299 [0.839674,0.858131] precision 0.827133 [0.847059,0.804416] precision 0.817281 [0.819444,0.814815] precision 0.825094 [0.838617,0.809677] precision 0.793241 [0.821752,0.760736] precision 0.839538 [0.87156,0.80303] precision 0.817338 [0.81768,0.816949] precision 0.822313 [0.83965,0.802548] precision 0.838967 [0.854651,0.821086] precision 0.829609 [0.841954,0.815534] precision 0.829472 [0.838068,0.819672] precision 0.8356 [0.836111,0.835017] precision 0.838738 [0.850575,0.825243] precision 0.829494 [0.830556,0.828283] precision 0.817352 [0.828571,0.80456] precision 0.851009 [0.864162,0.836013] precision 0.825 [0.836676,0.811688] precision 0.808962 [0.799465,0.819788] precision 0.831369 [0.825613,0.837931] precision 0.799427 [0.81686,0.779553] precision 0.796284 [0.824773,0.763804] precision 0.818765 [0.823529,0.813333] precision 0.817654 [0.8125,0.823529] precision 0.82452 [0.848214,0.797508] precision 0.813547 [0.834808,0.789308] precision 0.837174 [0.848138,0.824675] precision 0.815869 [0.82808,0.801948] precision 0.844759 [0.844444,0.845118] precision 0.843203 [0.844011,0.842282] precision 0.832652 [0.844828,0.81877] precision 0.84216 [0.859649,0.822222] precision 0.857461 [0.887538,0.823171] precision 0.841882 [0.855491,0.826367] precision 0.832518 [0.840909,0.822951] precision 0.827415 [0.815508,0.840989] precision 0.784726 [0.816514,0.748485] precision 0.832518 [0.840909,0.822951] precision 0.835551 [0.861862,0.805556] precision 0.799765 [0.820588,0.776025] precision 0.847727 [0.851124,0.843854] precision 0.808154 [0.818182,0.796721] precision 0.834023 [0.84136,0.825658] precision 0.820341 [0.846847,0.790123] precision 0.835287 [0.859701,0.807453] precision 0.832518 [0.840909,0.822951] precision 0.812699 [0.82153,0.802632] precision 0.82262 [0.853659,0.787234] precision 0.80408 [0.797844,0.811189] predictive_accuracy 0.832827 predictive_accuracy 0.829787 predictive_accuracy 0.852584 predictive_accuracy 0.834347 predictive_accuracy 0.81003 predictive_accuracy 0.848024 predictive_accuracy 0.864742 predictive_accuracy 0.820669 predictive_accuracy 0.826748 predictive_accuracy 0.816109 predictive_accuracy 0.826748 predictive_accuracy 0.831307 predictive_accuracy 0.834347 predictive_accuracy 0.819149 predictive_accuracy 0.846505 predictive_accuracy 0.831307 predictive_accuracy 0.840426 predictive_accuracy 0.803951 predictive_accuracy 0.831307 predictive_accuracy 0.838906 predictive_accuracy 0.857143 predictive_accuracy 0.831307 predictive_accuracy 0.834347 predictive_accuracy 0.829787 predictive_accuracy 0.837386 predictive_accuracy 0.822188 predictive_accuracy 0.828267 predictive_accuracy 0.848024 predictive_accuracy 0.837386 predictive_accuracy 0.832827 predictive_accuracy 0.81155 predictive_accuracy 0.828267 predictive_accuracy 0.797872 predictive_accuracy 0.835866 predictive_accuracy 0.840426 predictive_accuracy 0.805471 predictive_accuracy 0.822188 predictive_accuracy 0.823708 predictive_accuracy 0.820669 predictive_accuracy 0.822188 predictive_accuracy 0.808219 predictive_accuracy 0.788432 predictive_accuracy 0.826484 predictive_accuracy 0.796043 predictive_accuracy 0.817352 predictive_accuracy 0.835616 predictive_accuracy 0.837139 predictive_accuracy 0.837139 predictive_accuracy 0.82344 predictive_accuracy 0.834094 predictive_accuracy 0.811263 predictive_accuracy 0.843227 predictive_accuracy 0.847793 predictive_accuracy 0.826484 predictive_accuracy 0.817352 predictive_accuracy 0.824962 predictive_accuracy 0.791476 predictive_accuracy 0.837139 predictive_accuracy 0.817352 predictive_accuracy 0.821918 predictive_accuracy 0.838661 predictive_accuracy 0.829528 predictive_accuracy 0.829528 predictive_accuracy 0.835616 predictive_accuracy 0.838661 predictive_accuracy 0.829528 predictive_accuracy 0.817352 predictive_accuracy 0.850837 predictive_accuracy 0.824962 predictive_accuracy 0.808219 predictive_accuracy 0.83105 predictive_accuracy 0.799087 predictive_accuracy 0.794521 predictive_accuracy 0.818874 predictive_accuracy 0.817352 predictive_accuracy 0.82344 predictive_accuracy 0.812785 predictive_accuracy 0.837139 predictive_accuracy 0.81583 predictive_accuracy 0.844749 predictive_accuracy 0.843227 predictive_accuracy 0.832572 predictive_accuracy 0.841705 predictive_accuracy 0.855403 predictive_accuracy 0.841705 predictive_accuracy 0.832572 predictive_accuracy 0.826484 predictive_accuracy 0.782344 predictive_accuracy 0.832572 predictive_accuracy 0.834094 predictive_accuracy 0.799087 predictive_accuracy 0.847793 predictive_accuracy 0.808219 predictive_accuracy 0.834094 predictive_accuracy 0.818874 predictive_accuracy 0.834094 predictive_accuracy 0.832572 predictive_accuracy 0.812785 predictive_accuracy 0.820396 predictive_accuracy 0.803653 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 recall 0.832827 [0.831909,0.833876] recall 0.829787 [0.851429,0.805195] recall 0.852584 [0.891738,0.807818] recall 0.834347 [0.808571,0.863636] recall 0.81003 [0.80057,0.820847] recall 0.848024 [0.837607,0.859935] recall 0.864742 [0.88,0.847403] recall 0.820669 [0.837607,0.801303] recall 0.826748 [0.817664,0.837134] recall 0.816109 [0.797721,0.837134] recall 0.826748 [0.834286,0.818182] recall 0.831307 [0.828571,0.834416] recall 0.834347 [0.831429,0.837662] recall 0.819149 [0.785714,0.857143] recall 0.846505 [0.868571,0.821429] recall 0.831307 [0.825714,0.837662] recall 0.840426 [0.851429,0.827922] recall 0.803951 [0.811429,0.795455] recall 0.831307 [0.817143,0.847403] recall 0.838906 [0.865714,0.808442] recall 0.857143 [0.851429,0.863636] recall 0.831307 [0.848571,0.811688] recall 0.834347 [0.868571,0.795455] recall 0.829787 [0.842857,0.814935] recall 0.837386 [0.84,0.834416] recall 0.822188 [0.825714,0.818182] recall 0.828267 [0.811429,0.847403] recall 0.848024 [0.86,0.834416] recall 0.837386 [0.862857,0.808442] recall 0.832827 [0.842857,0.821429] recall 0.81155 [0.817143,0.805195] recall 0.828267 [0.823362,0.833876] recall 0.797872 [0.788571,0.808442] recall 0.835866 [0.837607,0.833876] recall 0.840426 [0.862857,0.814935] recall 0.805471 [0.802857,0.808442] recall 0.822188 [0.803419,0.843648] recall 0.823708 [0.851429,0.792208] recall 0.820669 [0.817143,0.824675] recall 0.822188 [0.8,0.847403] recall 0.808219 [0.811429,0.80456] recall 0.788432 [0.797143,0.778502] recall 0.826484 [0.811429,0.843648] recall 0.796043 [0.817143,0.771987] recall 0.817352 [0.814286,0.820847] recall 0.835616 [0.862857,0.80456] recall 0.837139 [0.842857,0.830619] recall 0.837139 [0.828571,0.846906] recall 0.82344 [0.82,0.827362] recall 0.834094 [0.834286,0.833876] recall 0.811263 [0.831429,0.788274] recall 0.843227 [0.828571,0.859935] recall 0.847793 [0.882857,0.807818] recall 0.826484 [0.822857,0.830619] recall 0.817352 [0.842857,0.788274] recall 0.824962 [0.831429,0.81759] recall 0.791476 [0.777143,0.807818] recall 0.837139 [0.814286,0.863192] recall 0.817352 [0.845714,0.785016] recall 0.821918 [0.822857,0.820847] recall 0.838661 [0.84,0.837134] recall 0.829528 [0.837143,0.820847] recall 0.829528 [0.842857,0.814332] recall 0.835616 [0.86,0.807818] recall 0.838661 [0.845714,0.830619] recall 0.829528 [0.854286,0.801303] recall 0.817352 [0.828571,0.80456] recall 0.850837 [0.854286,0.846906] recall 0.824962 [0.834286,0.814332] recall 0.808219 [0.854286,0.7557] recall 0.83105 [0.865714,0.791531] recall 0.799087 [0.802857,0.794788] recall 0.794521 [0.78,0.811075] recall 0.818874 [0.84,0.794788] recall 0.817352 [0.854286,0.775244] recall 0.82344 [0.814286,0.833876] recall 0.812785 [0.808571,0.81759] recall 0.837139 [0.845714,0.827362] recall 0.81583 [0.825714,0.80456] recall 0.844749 [0.868571,0.81759] recall 0.843227 [0.865714,0.81759] recall 0.832572 [0.84,0.824104] recall 0.841705 [0.84,0.843648] recall 0.855403 [0.834286,0.879479] recall 0.841705 [0.845714,0.837134] recall 0.832572 [0.845714,0.81759] recall 0.826484 [0.871429,0.775244] recall 0.782344 [0.762857,0.80456] recall 0.832572 [0.845714,0.81759] recall 0.834094 [0.82,0.850163] recall 0.799087 [0.797143,0.801303] recall 0.847793 [0.865714,0.827362] recall 0.808219 [0.822857,0.791531] recall 0.834094 [0.848571,0.81759] recall 0.818874 [0.805714,0.833876] recall 0.834094 [0.822857,0.846906] recall 0.832572 [0.845714,0.81759] recall 0.812785 [0.828571,0.794788] recall 0.820396 [0.8,0.843648] recall 0.803653 [0.845714,0.7557] relative_absolute_error 0.434086 relative_absolute_error 0.4521 relative_absolute_error 0.416515 relative_absolute_error 0.419053 relative_absolute_error 0.448048 relative_absolute_error 0.40664 relative_absolute_error 0.389385 relative_absolute_error 0.428962 relative_absolute_error 0.439099 relative_absolute_error 0.453262 relative_absolute_error 0.459863 relative_absolute_error 0.423742 relative_absolute_error 0.44502 relative_absolute_error 0.431761 relative_absolute_error 0.399893 relative_absolute_error 0.437553 relative_absolute_error 0.413154 relative_absolute_error 0.467851 relative_absolute_error 0.409903 relative_absolute_error 0.419117 relative_absolute_error 0.394653 relative_absolute_error 0.428111 relative_absolute_error 0.43049 relative_absolute_error 0.415284 relative_absolute_error 0.418216 relative_absolute_error 0.44887 relative_absolute_error 0.437306 relative_absolute_error 0.404846 relative_absolute_error 0.416601 relative_absolute_error 0.428304 relative_absolute_error 0.473653 relative_absolute_error 0.434793 relative_absolute_error 0.458968 relative_absolute_error 0.428176 relative_absolute_error 0.411523 relative_absolute_error 0.465832 relative_absolute_error 0.420688 relative_absolute_error 0.450299 relative_absolute_error 0.442227 relative_absolute_error 0.429145 relative_absolute_error 0.457199 relative_absolute_error 0.485639 relative_absolute_error 0.429131 relative_absolute_error 0.473203 relative_absolute_error 0.463281 relative_absolute_error 0.439516 relative_absolute_error 0.42834 relative_absolute_error 0.41955 relative_absolute_error 0.426416 relative_absolute_error 0.428237 relative_absolute_error 0.45404 relative_absolute_error 0.399026 relative_absolute_error 0.415396 relative_absolute_error 0.43828 relative_absolute_error 0.459928 relative_absolute_error 0.428501 relative_absolute_error 0.489615 relative_absolute_error 0.427243 relative_absolute_error 0.445887 relative_absolute_error 0.439161 relative_absolute_error 0.40656 relative_absolute_error 0.422164 relative_absolute_error 0.428114 relative_absolute_error 0.419234 relative_absolute_error 0.42235 relative_absolute_error 0.444591 relative_absolute_error 0.444271 relative_absolute_error 0.415655 relative_absolute_error 0.44094 relative_absolute_error 0.480897 relative_absolute_error 0.437479 relative_absolute_error 0.468241 relative_absolute_error 0.469265 relative_absolute_error 0.450146 relative_absolute_error 0.465926 relative_absolute_error 0.418619 relative_absolute_error 0.434761 relative_absolute_error 0.407465 relative_absolute_error 0.456551 relative_absolute_error 0.42278 relative_absolute_error 0.41565 relative_absolute_error 0.433554 relative_absolute_error 0.407632 relative_absolute_error 0.395421 relative_absolute_error 0.424923 relative_absolute_error 0.430581 relative_absolute_error 0.439468 relative_absolute_error 0.505984 relative_absolute_error 0.406963 relative_absolute_error 0.437956 relative_absolute_error 0.463279 relative_absolute_error 0.403916 relative_absolute_error 0.450679 relative_absolute_error 0.443182 relative_absolute_error 0.44517 relative_absolute_error 0.417822 relative_absolute_error 0.431542 relative_absolute_error 0.448879 relative_absolute_error 0.459854 relative_absolute_error 0.472207 root_mean_prior_squared_error 0.498882 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498882 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498882 root_mean_prior_squared_error 0.498882 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498882 root_mean_prior_squared_error 0.498882 root_mean_prior_squared_error 0.498882 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498882 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498882 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498882 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_squared_error 0.350636 root_mean_squared_error 0.352899 root_mean_squared_error 0.339447 root_mean_squared_error 0.340006 root_mean_squared_error 0.359385 root_mean_squared_error 0.330847 root_mean_squared_error 0.317121 root_mean_squared_error 0.347733 root_mean_squared_error 0.350909 root_mean_squared_error 0.360327 root_mean_squared_error 0.359203 root_mean_squared_error 0.345699 root_mean_squared_error 0.354128 root_mean_squared_error 0.352556 root_mean_squared_error 0.326019 root_mean_squared_error 0.354079 root_mean_squared_error 0.340872 root_mean_squared_error 0.365995 root_mean_squared_error 0.330421 root_mean_squared_error 0.344842 root_mean_squared_error 0.324192 root_mean_squared_error 0.342501 root_mean_squared_error 0.351479 root_mean_squared_error 0.336153 root_mean_squared_error 0.341648 root_mean_squared_error 0.361228 root_mean_squared_error 0.354847 root_mean_squared_error 0.333814 root_mean_squared_error 0.343324 root_mean_squared_error 0.345404 root_mean_squared_error 0.36599 root_mean_squared_error 0.34383 root_mean_squared_error 0.359519 root_mean_squared_error 0.346178 root_mean_squared_error 0.335815 root_mean_squared_error 0.376574 root_mean_squared_error 0.340792 root_mean_squared_error 0.354078 root_mean_squared_error 0.351834 root_mean_squared_error 0.339642 root_mean_squared_error 0.362863 root_mean_squared_error 0.385581 root_mean_squared_error 0.348612 root_mean_squared_error 0.378413 root_mean_squared_error 0.364276 root_mean_squared_error 0.355532 root_mean_squared_error 0.345881 root_mean_squared_error 0.338491 root_mean_squared_error 0.346328 root_mean_squared_error 0.348761 root_mean_squared_error 0.362941 root_mean_squared_error 0.325505 root_mean_squared_error 0.333607 root_mean_squared_error 0.353149 root_mean_squared_error 0.361697 root_mean_squared_error 0.342447 root_mean_squared_error 0.384715 root_mean_squared_error 0.340047 root_mean_squared_error 0.355938 root_mean_squared_error 0.348999 root_mean_squared_error 0.338003 root_mean_squared_error 0.342734 root_mean_squared_error 0.344556 root_mean_squared_error 0.337392 root_mean_squared_error 0.340289 root_mean_squared_error 0.351224 root_mean_squared_error 0.353046 root_mean_squared_error 0.330938 root_mean_squared_error 0.355138 root_mean_squared_error 0.372072 root_mean_squared_error 0.353532 root_mean_squared_error 0.373528 root_mean_squared_error 0.374263 root_mean_squared_error 0.356875 root_mean_squared_error 0.364034 root_mean_squared_error 0.335312 root_mean_squared_error 0.348829 root_mean_squared_error 0.336868 root_mean_squared_error 0.364323 root_mean_squared_error 0.344527 root_mean_squared_error 0.340825 root_mean_squared_error 0.347602 root_mean_squared_error 0.330623 root_mean_squared_error 0.325397 root_mean_squared_error 0.348886 root_mean_squared_error 0.350368 root_mean_squared_error 0.35702 root_mean_squared_error 0.39732 root_mean_squared_error 0.331758 root_mean_squared_error 0.354502 root_mean_squared_error 0.363202 root_mean_squared_error 0.333698 root_mean_squared_error 0.362692 root_mean_squared_error 0.353495 root_mean_squared_error 0.356816 root_mean_squared_error 0.338324 root_mean_squared_error 0.345916 root_mean_squared_error 0.35746 root_mean_squared_error 0.362267 root_mean_squared_error 0.367054 root_relative_squared_error 0.702843 root_relative_squared_error 0.70724 root_relative_squared_error 0.680417 root_relative_squared_error 0.681401 root_relative_squared_error 0.720382 root_relative_squared_error 0.663177 root_relative_squared_error 0.635538 root_relative_squared_error 0.697025 root_relative_squared_error 0.703391 root_relative_squared_error 0.722269 root_relative_squared_error 0.719874 root_relative_squared_error 0.692811 root_relative_squared_error 0.709702 root_relative_squared_error 0.706552 root_relative_squared_error 0.65337 root_relative_squared_error 0.709605 root_relative_squared_error 0.683137 root_relative_squared_error 0.733485 root_relative_squared_error 0.662192 root_relative_squared_error 0.691092 root_relative_squared_error 0.649708 root_relative_squared_error 0.686402 root_relative_squared_error 0.704394 root_relative_squared_error 0.673678 root_relative_squared_error 0.684691 root_relative_squared_error 0.723932 root_relative_squared_error 0.711144 root_relative_squared_error 0.668992 root_relative_squared_error 0.688051 root_relative_squared_error 0.692218 root_relative_squared_error 0.733476 root_relative_squared_error 0.689202 root_relative_squared_error 0.720508 root_relative_squared_error 0.693907 root_relative_squared_error 0.673002 root_relative_squared_error 0.754687 root_relative_squared_error 0.683112 root_relative_squared_error 0.709603 root_relative_squared_error 0.705106 root_relative_squared_error 0.680671 root_relative_squared_error 0.727285 root_relative_squared_error 0.772819 root_relative_squared_error 0.698722 root_relative_squared_error 0.758451 root_relative_squared_error 0.730117 root_relative_squared_error 0.712592 root_relative_squared_error 0.693248 root_relative_squared_error 0.678436 root_relative_squared_error 0.694144 root_relative_squared_error 0.699021 root_relative_squared_error 0.727442 root_relative_squared_error 0.652408 root_relative_squared_error 0.668647 root_relative_squared_error 0.707815 root_relative_squared_error 0.724948 root_relative_squared_error 0.686366 root_relative_squared_error 0.771083 root_relative_squared_error 0.681556 root_relative_squared_error 0.713405 root_relative_squared_error 0.699498 root_relative_squared_error 0.677459 root_relative_squared_error 0.686941 root_relative_squared_error 0.690593 root_relative_squared_error 0.676234 root_relative_squared_error 0.682039 root_relative_squared_error 0.703957 root_relative_squared_error 0.70761 root_relative_squared_error 0.663298 root_relative_squared_error 0.711802 root_relative_squared_error 0.745742 root_relative_squared_error 0.708584 root_relative_squared_error 0.748661 root_relative_squared_error 0.750135 root_relative_squared_error 0.715284 root_relative_squared_error 0.729633 root_relative_squared_error 0.672064 root_relative_squared_error 0.699158 root_relative_squared_error 0.675184 root_relative_squared_error 0.730212 root_relative_squared_error 0.690534 root_relative_squared_error 0.683115 root_relative_squared_error 0.696698 root_relative_squared_error 0.662667 root_relative_squared_error 0.652192 root_relative_squared_error 0.69927 root_relative_squared_error 0.702241 root_relative_squared_error 0.715574 root_relative_squared_error 0.796348 root_relative_squared_error 0.664942 root_relative_squared_error 0.710527 root_relative_squared_error 0.727965 root_relative_squared_error 0.66883 root_relative_squared_error 0.726944 root_relative_squared_error 0.70851 root_relative_squared_error 0.715164 root_relative_squared_error 0.678102 root_relative_squared_error 0.693318 root_relative_squared_error 0.716456 root_relative_squared_error 0.72609 root_relative_squared_error 0.735686 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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 140 usercpu_time_millis 140 usercpu_time_millis 140 usercpu_time_millis 150 usercpu_time_millis 140 usercpu_time_millis 140 usercpu_time_millis 150 usercpu_time_millis 140 usercpu_time_millis 140 usercpu_time_millis 150 usercpu_time_millis 160 usercpu_time_millis 150 usercpu_time_millis 150 usercpu_time_millis 140 usercpu_time_millis 140 usercpu_time_millis 150 usercpu_time_millis 140 usercpu_time_millis 150 usercpu_time_millis 150 usercpu_time_millis 140 usercpu_time_millis 140 usercpu_time_millis 140 usercpu_time_millis 140 usercpu_time_millis 150 usercpu_time_millis 150 usercpu_time_millis 150 usercpu_time_millis 150 usercpu_time_millis 150 usercpu_time_millis 170 usercpu_time_millis 150 usercpu_time_millis 170 usercpu_time_millis 140 usercpu_time_millis 140 usercpu_time_millis 140 usercpu_time_millis 140 usercpu_time_millis 140 usercpu_time_millis 140 usercpu_time_millis 140 usercpu_time_millis 140 usercpu_time_millis 140 usercpu_time_millis 140 usercpu_time_millis 150 usercpu_time_millis 160 usercpu_time_millis 150 usercpu_time_millis 150 usercpu_time_millis 150 usercpu_time_millis 170 usercpu_time_millis 150 usercpu_time_millis 150 usercpu_time_millis 150 usercpu_time_millis 120 usercpu_time_millis 140 usercpu_time_millis 150 usercpu_time_millis 180 usercpu_time_millis 140 usercpu_time_millis 140 usercpu_time_millis 140 usercpu_time_millis 140 usercpu_time_millis 140 usercpu_time_millis 150 usercpu_time_millis 150 usercpu_time_millis 150 usercpu_time_millis 140 usercpu_time_millis 140 usercpu_time_millis 150 usercpu_time_millis 140 usercpu_time_millis 150 usercpu_time_millis 170 usercpu_time_millis 140 usercpu_time_millis 140 usercpu_time_millis 140 usercpu_time_millis 140 usercpu_time_millis 140 usercpu_time_millis 150 usercpu_time_millis 150 usercpu_time_millis 150 usercpu_time_millis 140 usercpu_time_millis 140 usercpu_time_millis 150 usercpu_time_millis 150 usercpu_time_millis 140 usercpu_time_millis 150 usercpu_time_millis 150 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