289530 2 Joaquin Vanschoren 4291 Supervised Classification predictive_accuracy 1106 weka.KStar(3) 1875 weka.classifiers.lazy.KStar -- -B 20 -M a B 20 1106 M a 1106 weka weka_3.7.12 720 abalone https://www.openml.org/data/download/53254/abalone.arff -1 975457 description https://api.openml.org/data/download/975457/weka_generated_run3445856181647112722.xml -1 975460 model_readable https://api.openml.org/data/download/975460/WekaModel_weka.classifiers.lazy.KStar7954235243885055944.model -1 975459 model_serialized https://api.openml.org/data/download/975459/WekaSerialized_weka.classifiers.lazy.KStar7467077723743059791.model -1 975458 predictions https://api.openml.org/data/download/975458/weka_generated_predictions8586006240071842421.arff area_under_roc_curve 0.869654 [0.869654,0.869654] average_cost 0 f_measure 0.787925 [0.786914,0.788944] kappa 0.575888 kb_relative_information_score 18763.070274 mean_absolute_error 0.288534 mean_prior_absolute_error 0.499994 number_of_instances 41770 [20960,20810] os_information [Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic] precision 0.788028 [0.793595,0.78242] predictive_accuracy 0.787934 prior_entropy 0.999991 recall 0.787934 [0.780344,0.795579] relative_absolute_error 0.577075 root_mean_prior_squared_error 0.499997 root_mean_squared_error 0.382948 root_relative_squared_error 0.765902 scimark_benchmark 1318.562694 [804.9102886377058, 977.1577105498627, 518.9665640553163, 1072.6022888144519, 3219.1766169821944] total_cost 0 usercpu_time_millis 100320 usercpu_time_millis_testing 100310 usercpu_time_millis_training 10 area_under_roc_curve 0.88835 [0.88835,0.88835] area_under_roc_curve 0.866758 [0.866758,0.866758] area_under_roc_curve 0.855383 [0.855383,0.855383] area_under_roc_curve 0.876419 [0.876419,0.876419] area_under_roc_curve 0.882489 [0.882489,0.882489] area_under_roc_curve 0.856024 [0.856024,0.856024] area_under_roc_curve 0.880383 [0.880383,0.880383] area_under_roc_curve 0.865316 [0.865316,0.865316] area_under_roc_curve 0.876857 [0.876857,0.876857] area_under_roc_curve 0.899819 [0.899819,0.899819] area_under_roc_curve 0.860668 [0.860668,0.860668] area_under_roc_curve 0.870788 [0.870788,0.870788] area_under_roc_curve 0.841484 [0.841484,0.841484] area_under_roc_curve 0.911378 [0.911378,0.911378] area_under_roc_curve 0.858127 [0.858127,0.858127] area_under_roc_curve 0.870169 [0.870169,0.870169] area_under_roc_curve 0.873924 [0.873924,0.873924] area_under_roc_curve 0.864171 [0.864171,0.864171] area_under_roc_curve 0.855014 [0.855014,0.855014] area_under_roc_curve 0.842605 [0.842605,0.842605] area_under_roc_curve 0.91669 [0.91669,0.91669] area_under_roc_curve 0.885371 [0.885371,0.885371] area_under_roc_curve 0.890408 [0.890408,0.890408] area_under_roc_curve 0.866575 [0.866575,0.866575] area_under_roc_curve 0.865499 [0.865499,0.865499] area_under_roc_curve 0.82706 [0.82706,0.82706] area_under_roc_curve 0.887821 [0.887821,0.887821] area_under_roc_curve 0.860531 [0.860531,0.860531] area_under_roc_curve 0.876305 [0.876305,0.876305] area_under_roc_curve 0.860989 [0.860989,0.860989] area_under_roc_curve 0.839125 [0.839125,0.839125] area_under_roc_curve 0.852198 [0.852198,0.852198] area_under_roc_curve 0.893178 [0.893178,0.893178] area_under_roc_curve 0.84652 [0.84652,0.84652] area_under_roc_curve 0.875504 [0.875504,0.875504] area_under_roc_curve 0.867125 [0.867125,0.867125] area_under_roc_curve 0.831319 [0.831319,0.831319] area_under_roc_curve 0.855632 [0.855632,0.855632] area_under_roc_curve 0.840751 [0.840751,0.840751] area_under_roc_curve 0.883974 [0.883974,0.883974] area_under_roc_curve 0.84478 [0.84478,0.84478] area_under_roc_curve 0.867972 [0.867972,0.867972] area_under_roc_curve 0.872207 [0.872207,0.872207] area_under_roc_curve 0.856708 [0.856708,0.856708] area_under_roc_curve 0.85625 [0.85625,0.85625] area_under_roc_curve 0.853136 [0.853136,0.853136] area_under_roc_curve 0.864721 [0.864721,0.864721] area_under_roc_curve 0.87832 [0.87832,0.87832] area_under_roc_curve 0.8788 [0.8788,0.8788] area_under_roc_curve 0.902816 [0.902816,0.902816] area_under_roc_curve 0.861081 [0.861081,0.861081] area_under_roc_curve 0.857715 [0.857715,0.857715] area_under_roc_curve 0.863874 [0.863874,0.863874] area_under_roc_curve 0.880495 [0.880495,0.880495] area_under_roc_curve 0.881433 [0.881433,0.881433] area_under_roc_curve 0.884249 [0.884249,0.884249] area_under_roc_curve 0.860554 [0.860554,0.860554] area_under_roc_curve 0.87516 [0.87516,0.87516] area_under_roc_curve 0.859787 [0.859787,0.859787] area_under_roc_curve 0.849886 [0.849886,0.849886] area_under_roc_curve 0.866621 [0.866621,0.866621] area_under_roc_curve 0.861519 [0.861519,0.861519] area_under_roc_curve 0.884844 [0.884844,0.884844] area_under_roc_curve 0.862068 [0.862068,0.862068] area_under_roc_curve 0.890522 [0.890522,0.890522] area_under_roc_curve 0.893636 [0.893636,0.893636] area_under_roc_curve 0.883425 [0.883425,0.883425] area_under_roc_curve 0.869508 [0.869508,0.869508] area_under_roc_curve 0.866758 [0.866758,0.866758] area_under_roc_curve 0.864606 [0.864606,0.864606] area_under_roc_curve 0.881004 [0.881004,0.881004] area_under_roc_curve 0.866535 [0.866535,0.866535] area_under_roc_curve 0.876265 [0.876265,0.876265] area_under_roc_curve 0.880383 [0.880383,0.880383] area_under_roc_curve 0.871642 [0.871642,0.871642] area_under_roc_curve 0.868007 [0.868007,0.868007] area_under_roc_curve 0.876403 [0.876403,0.876403] area_under_roc_curve 0.885467 [0.885467,0.885467] area_under_roc_curve 0.887744 [0.887744,0.887744] area_under_roc_curve 0.873321 [0.873321,0.873321] area_under_roc_curve 0.889331 [0.889331,0.889331] area_under_roc_curve 0.888135 [0.888135,0.888135] area_under_roc_curve 0.863383 [0.863383,0.863383] area_under_roc_curve 0.854734 [0.854734,0.854734] area_under_roc_curve 0.849328 [0.849328,0.849328] area_under_roc_curve 0.879555 [0.879555,0.879555] area_under_roc_curve 0.851468 [0.851468,0.851468] area_under_roc_curve 0.835342 [0.835342,0.835342] area_under_roc_curve 0.876265 [0.876265,0.876265] area_under_roc_curve 0.851905 [0.851905,0.851905] area_under_roc_curve 0.857034 [0.857034,0.857034] area_under_roc_curve 0.873551 [0.873551,0.873551] area_under_roc_curve 0.855332 [0.855332,0.855332] area_under_roc_curve 0.875253 [0.875253,0.875253] area_under_roc_curve 0.879026 [0.879026,0.879026] area_under_roc_curve 0.900511 [0.900511,0.900511] area_under_roc_curve 0.889561 [0.889561,0.889561] area_under_roc_curve 0.895381 [0.895381,0.895381] area_under_roc_curve 0.885282 [0.885282,0.885282] area_under_roc_curve 0.866236 [0.866236,0.866236] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.803607 [0.79703,0.810185] f_measure 0.789416 [0.786408,0.792453] f_measure 0.772664 [0.768856,0.776471] f_measure 0.798988 [0.796117,0.801887] f_measure 0.79651 [0.791155,0.801865] f_measure 0.78461 [0.780488,0.788732] f_measure 0.808455 [0.802956,0.813953] f_measure 0.803819 [0.802885,0.804762] f_measure 0.777409 [0.782201,0.772616] f_measure 0.815662 [0.810811,0.820513] f_measure 0.772729 [0.77327,0.772182] f_measure 0.801273 [0.796069,0.806527] f_measure 0.753584 [0.752998,0.754177] f_measure 0.832513 [0.830918,0.834123] f_measure 0.779753 [0.786047,0.773399] f_measure 0.779874 [0.783019,0.776699] f_measure 0.772645 [0.777518,0.767726] f_measure 0.767939 [0.767386,0.768496] f_measure 0.781798 [0.77193,0.791762] f_measure 0.762616 [0.75188,0.773455] f_measure 0.856453 [0.85782,0.855072] f_measure 0.799015 [0.801887,0.796117] f_measure 0.806061 [0.812065,0.8] f_measure 0.779894 [0.781991,0.777778] f_measure 0.791634 [0.785185,0.798144] f_measure 0.753567 [0.751807,0.755344] f_measure 0.813389 [0.8125,0.814286] f_measure 0.803828 [0.804762,0.802885] f_measure 0.789474 [0.790476,0.788462] f_measure 0.791848 [0.790361,0.793349] f_measure 0.746086 [0.737624,0.75463] f_measure 0.770272 [0.76699,0.773585] f_measure 0.822674 [0.81592,0.829493] f_measure 0.763072 [0.759124,0.767059] f_measure 0.794202 [0.791262,0.79717] f_measure 0.782253 [0.785882,0.778589] f_measure 0.743809 [0.75174,0.735802] f_measure 0.77004 [0.762376,0.777778] f_measure 0.772598 [0.767726,0.777518] f_measure 0.803693 [0.809302,0.79803] f_measure 0.770272 [0.774648,0.765854] f_measure 0.772306 [0.782609,0.761905] f_measure 0.799034 [0.800948,0.797101] f_measure 0.782293 [0.783848,0.780723] f_measure 0.784679 [0.783654,0.785714] f_measure 0.772645 [0.768856,0.776471] f_measure 0.799034 [0.798077,0.8] f_measure 0.791862 [0.791367,0.792363] f_measure 0.796535 [0.792176,0.800937] f_measure 0.815786 [0.817102,0.814458] f_measure 0.777467 [0.774818,0.780142] f_measure 0.772729 [0.77327,0.772182] f_measure 0.779803 [0.77561,0.784038] f_measure 0.794258 [0.795238,0.793269] f_measure 0.794258 [0.794258,0.794258] f_measure 0.801418 [0.8,0.80285] f_measure 0.770272 [0.774648,0.765854] f_measure 0.779894 [0.778846,0.780952] f_measure 0.779894 [0.778846,0.780952] f_measure 0.772598 [0.767726,0.777518] f_measure 0.787039 [0.784504,0.789598] f_measure 0.772726 [0.772182,0.77327] f_measure 0.799015 [0.801887,0.796117] f_measure 0.782265 [0.779661,0.78487] f_measure 0.796647 [0.796163,0.797136] f_measure 0.801323 [0.806527,0.796069] f_measure 0.798785 [0.792079,0.805556] f_measure 0.78707 [0.785542,0.788599] f_measure 0.789329 [0.784314,0.794393] f_measure 0.770177 [0.776744,0.763547] f_measure 0.803255 [0.79902,0.807512] f_measure 0.783792 [0.775,0.792627] f_measure 0.796161 [0.797136,0.795181] f_measure 0.793549 [0.787129,0.8] f_measure 0.805632 [0.800983,0.810304] f_measure 0.779145 [0.772277,0.786047] f_measure 0.803344 [0.801932,0.804762] f_measure 0.790956 [0.781955,0.8] f_measure 0.810353 [0.816705,0.80397] f_measure 0.786502 [0.790588,0.782396] f_measure 0.79358 [0.8,0.787129] f_measure 0.827207 [0.82266,0.831776] f_measure 0.779369 [0.780952,0.777778] f_measure 0.784165 [0.785714,0.782609] f_measure 0.76737 [0.769596,0.765133] f_measure 0.784173 [0.784689,0.783654] f_measure 0.776971 [0.775904,0.778043] f_measure 0.743323 [0.748235,0.738386] f_measure 0.779369 [0.780952,0.777778] f_measure 0.769784 [0.770335,0.769231] f_measure 0.78886 [0.784314,0.793427] f_measure 0.788945 [0.791469,0.786408] f_measure 0.786236 [0.778055,0.794457] f_measure 0.793763 [0.793269,0.794258] f_measure 0.791343 [0.789346,0.793349] f_measure 0.803151 [0.79703,0.809302] f_measure 0.793758 [0.795238,0.792271] f_measure 0.810453 [0.814988,0.805897] f_measure 0.793741 [0.796209,0.791262] f_measure 0.774508 [0.770732,0.778302] kappa 0.607656 kappa 0.579015 kappa 0.545455 kappa 0.598151 kappa 0.593301 kappa 0.569378 kappa 0.617225 kappa 0.607682 kappa 0.555024 kappa 0.631579 kappa 0.545455 kappa 0.60298 kappa 0.5072 kappa 0.66511 kappa 0.559698 kappa 0.559758 kappa 0.545371 kappa 0.535906 kappa 0.564793 kappa 0.526533 kappa 0.712899 kappa 0.59804 kappa 0.612334 kappa 0.559778 kappa 0.583865 kappa 0.507222 kappa 0.62682 kappa 0.607647 kappa 0.578938 kappa 0.58377 kappa 0.492997 kappa 0.540743 kappa 0.646071 kappa 0.526403 kappa 0.588583 kappa 0.564533 kappa 0.487898 kappa 0.540828 kappa 0.545559 kappa 0.607557 kappa 0.540596 kappa 0.545267 kappa 0.598059 kappa 0.564573 kappa 0.569408 kappa 0.545538 kappa 0.598114 kappa 0.583751 kappa 0.593395 kappa 0.631562 kappa 0.555085 kappa 0.545455 kappa 0.559899 kappa 0.588507 kappa 0.588526 kappa 0.602907 kappa 0.540596 kappa 0.559839 kappa 0.559839 kappa 0.545559 kappa 0.574221 kappa 0.545455 kappa 0.59804 kappa 0.564593 kappa 0.59332 kappa 0.60278 kappa 0.598224 kappa 0.574163 kappa 0.579053 kappa 0.540554 kappa 0.606758 kappa 0.568432 kappa 0.592319 kappa 0.587594 kappa 0.611558 kappa 0.558822 kappa 0.60673 kappa 0.582823 kappa 0.621044 kappa 0.573105 kappa 0.587471 kappa 0.654722 kappa 0.55874 kappa 0.568333 kappa 0.534753 kappa 0.568343 kappa 0.55397 kappa 0.486766 kappa 0.55874 kappa 0.539566 kappa 0.577984 kappa 0.577916 kappa 0.573222 kappa 0.587537 kappa 0.582755 kappa 0.606776 kappa 0.587518 kappa 0.621062 kappa 0.587509 kappa 0.5492 kb_relative_information_score 196.793903 kb_relative_information_score 189.358996 kb_relative_information_score 182.680357 kb_relative_information_score 194.455656 kb_relative_information_score 193.467845 kb_relative_information_score 186.387326 kb_relative_information_score 194.815033 kb_relative_information_score 192.429023 kb_relative_information_score 189.301283 kb_relative_information_score 201.222742 kb_relative_information_score 181.912121 kb_relative_information_score 197.992934 kb_relative_information_score 169.759555 kb_relative_information_score 216.204718 kb_relative_information_score 180.422786 kb_relative_information_score 184.324027 kb_relative_information_score 190.753408 kb_relative_information_score 177.852942 kb_relative_information_score 184.45229 kb_relative_information_score 174.858042 kb_relative_information_score 215.959502 kb_relative_information_score 190.971716 kb_relative_information_score 195.37732 kb_relative_information_score 186.838722 kb_relative_information_score 183.664626 kb_relative_information_score 163.673691 kb_relative_information_score 205.521163 kb_relative_information_score 180.748665 kb_relative_information_score 194.981525 kb_relative_information_score 181.533695 kb_relative_information_score 169.518316 kb_relative_information_score 177.866327 kb_relative_information_score 202.613819 kb_relative_information_score 171.768459 kb_relative_information_score 189.651728 kb_relative_information_score 185.812625 kb_relative_information_score 165.975036 kb_relative_information_score 179.272588 kb_relative_information_score 171.661726 kb_relative_information_score 197.971577 kb_relative_information_score 173.996791 kb_relative_information_score 185.243508 kb_relative_information_score 192.777327 kb_relative_information_score 179.103245 kb_relative_information_score 180.922553 kb_relative_information_score 179.832981 kb_relative_information_score 188.16832 kb_relative_information_score 187.993675 kb_relative_information_score 196.407715 kb_relative_information_score 207.271413 kb_relative_information_score 179.263672 kb_relative_information_score 179.069105 kb_relative_information_score 184.410333 kb_relative_information_score 197.469454 kb_relative_information_score 191.017399 kb_relative_information_score 199.469467 kb_relative_information_score 181.353433 kb_relative_information_score 188.522141 kb_relative_information_score 180.693881 kb_relative_information_score 173.948522 kb_relative_information_score 184.278894 kb_relative_information_score 173.58829 kb_relative_information_score 197.560092 kb_relative_information_score 185.141268 kb_relative_information_score 203.10152 kb_relative_information_score 202.158509 kb_relative_information_score 191.548863 kb_relative_information_score 190.47465 kb_relative_information_score 186.387967 kb_relative_information_score 185.79109 kb_relative_information_score 195.17028 kb_relative_information_score 184.95678 kb_relative_information_score 186.741643 kb_relative_information_score 186.849518 kb_relative_information_score 187.462907 kb_relative_information_score 180.953786 kb_relative_information_score 186.336627 kb_relative_information_score 201.086514 kb_relative_information_score 194.033052 kb_relative_information_score 187.163514 kb_relative_information_score 196.366386 kb_relative_information_score 201.095356 kb_relative_information_score 181.478706 kb_relative_information_score 177.207714 kb_relative_information_score 175.470336 kb_relative_information_score 188.525817 kb_relative_information_score 174.813868 kb_relative_information_score 168.731148 kb_relative_information_score 186.992803 kb_relative_information_score 176.959026 kb_relative_information_score 181.115387 kb_relative_information_score 190.324153 kb_relative_information_score 181.365777 kb_relative_information_score 188.032505 kb_relative_information_score 198.077427 kb_relative_information_score 207.477658 kb_relative_information_score 193.894908 kb_relative_information_score 204.185285 kb_relative_information_score 194.780991 kb_relative_information_score 187.626509 mean_absolute_error 0.277989 mean_absolute_error 0.285454 mean_absolute_error 0.295035 mean_absolute_error 0.281629 mean_absolute_error 0.282726 mean_absolute_error 0.28996 mean_absolute_error 0.279903 mean_absolute_error 0.28306 mean_absolute_error 0.286217 mean_absolute_error 0.275013 mean_absolute_error 0.293961 mean_absolute_error 0.277049 mean_absolute_error 0.307662 mean_absolute_error 0.257431 mean_absolute_error 0.296775 mean_absolute_error 0.291999 mean_absolute_error 0.284608 mean_absolute_error 0.299634 mean_absolute_error 0.292417 mean_absolute_error 0.30233 mean_absolute_error 0.258829 mean_absolute_error 0.285796 mean_absolute_error 0.280491 mean_absolute_error 0.28825 mean_absolute_error 0.293549 mean_absolute_error 0.316697 mean_absolute_error 0.268189 mean_absolute_error 0.29852 mean_absolute_error 0.27919 mean_absolute_error 0.294774 mean_absolute_error 0.308723 mean_absolute_error 0.299776 mean_absolute_error 0.272809 mean_absolute_error 0.306542 mean_absolute_error 0.286768 mean_absolute_error 0.291356 mean_absolute_error 0.311608 mean_absolute_error 0.297148 mean_absolute_error 0.307466 mean_absolute_error 0.277272 mean_absolute_error 0.304911 mean_absolute_error 0.290245 mean_absolute_error 0.28219 mean_absolute_error 0.298175 mean_absolute_error 0.295796 mean_absolute_error 0.296467 mean_absolute_error 0.289569 mean_absolute_error 0.289816 mean_absolute_error 0.27976 mean_absolute_error 0.266718 mean_absolute_error 0.296848 mean_absolute_error 0.298328 mean_absolute_error 0.291888 mean_absolute_error 0.276189 mean_absolute_error 0.28409 mean_absolute_error 0.275478 mean_absolute_error 0.295714 mean_absolute_error 0.287181 mean_absolute_error 0.29659 mean_absolute_error 0.304771 mean_absolute_error 0.293235 mean_absolute_error 0.304566 mean_absolute_error 0.277329 mean_absolute_error 0.291879 mean_absolute_error 0.27089 mean_absolute_error 0.27205 mean_absolute_error 0.28516 mean_absolute_error 0.28473 mean_absolute_error 0.291092 mean_absolute_error 0.290722 mean_absolute_error 0.27867 mean_absolute_error 0.291355 mean_absolute_error 0.289246 mean_absolute_error 0.290249 mean_absolute_error 0.289837 mean_absolute_error 0.296649 mean_absolute_error 0.29077 mean_absolute_error 0.272856 mean_absolute_error 0.281333 mean_absolute_error 0.288796 mean_absolute_error 0.277983 mean_absolute_error 0.274385 mean_absolute_error 0.295036 mean_absolute_error 0.301093 mean_absolute_error 0.301624 mean_absolute_error 0.287607 mean_absolute_error 0.30192 mean_absolute_error 0.307097 mean_absolute_error 0.287423 mean_absolute_error 0.299906 mean_absolute_error 0.296716 mean_absolute_error 0.284288 mean_absolute_error 0.295379 mean_absolute_error 0.287428 mean_absolute_error 0.275784 mean_absolute_error 0.26468 mean_absolute_error 0.280762 mean_absolute_error 0.269828 mean_absolute_error 0.280397 mean_absolute_error 0.287218 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 number_of_instances 418 [209,209] number_of_instances 418 [210,208] number_of_instances 418 [209,209] number_of_instances 418 [210,208] number_of_instances 418 [209,209] number_of_instances 418 [209,209] number_of_instances 418 [209,209] number_of_instances 418 [210,208] number_of_instances 418 [209,209] number_of_instances 418 [209,209] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [209,209] number_of_instances 418 [210,208] number_of_instances 418 [209,209] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [209,209] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] precision 0.805197 [0.825641,0.784753] precision 0.789937 [0.80198,0.777778] precision 0.773034 [0.782178,0.763889] precision 0.799519 [0.811881,0.787037] precision 0.797475 [0.813131,0.781818] precision 0.785107 [0.79602,0.774194] precision 0.809633 [0.827411,0.791855] precision 0.803957 [0.81068,0.79717] precision 0.778028 [0.766055,0.79] precision 0.816667 [0.833333,0.8] precision 0.772739 [0.77512,0.770335] precision 0.802665 [0.822335,0.782805] precision 0.753658 [0.758454,0.748815] precision 0.832833 [0.843137,0.82243] precision 0.780496 [0.768182,0.792929] precision 0.779987 [0.775701,0.784314] precision 0.772997 [0.764977,0.781095] precision 0.768014 [0.772947,0.763033] precision 0.785279 [0.814815,0.755459] precision 0.765954 [0.793651,0.737991] precision 0.856485 [0.853774,0.859223] precision 0.799134 [0.794393,0.803922] precision 0.807022 [0.791855,0.822335] precision 0.77992 [0.778302,0.781553] precision 0.793448 [0.815385,0.7713] precision 0.753762 [0.760976,0.746479] precision 0.813529 [0.820388,0.806604] precision 0.803828 [0.804762,0.802885] precision 0.789474 [0.790476,0.788462] precision 0.792057 [0.8,0.784038] precision 0.747956 [0.768041,0.727679] precision 0.770774 [0.782178,0.759259] precision 0.825451 [0.854167,0.79646] precision 0.763695 [0.776119,0.751152] precision 0.794728 [0.806931,0.782407] precision 0.782433 [0.776744,0.788177] precision 0.744633 [0.733032,0.756345] precision 0.772012 [0.793814,0.75] precision 0.773542 [0.788945,0.757991] precision 0.80448 [0.790909,0.818182] precision 0.770526 [0.763889,0.777228] precision 0.774456 [0.753304,0.795812] precision 0.799061 [0.79717,0.800971] precision 0.782298 [0.781991,0.782609] precision 0.784813 [0.791262,0.778302] precision 0.773281 [0.78607,0.760369] precision 0.799171 [0.805825,0.792453] precision 0.79194 [0.797101,0.78673] precision 0.797526 [0.81407,0.780822] precision 0.815792 [0.815166,0.816425] precision 0.777859 [0.788177,0.767442] precision 0.772739 [0.77512,0.770335] precision 0.780597 [0.795,0.766055] precision 0.794258 [0.795238,0.793269] precision 0.794295 [0.798077,0.790476] precision 0.801631 [0.809756,0.793427] precision 0.770526 [0.763889,0.777228] precision 0.780027 [0.786408,0.773585] precision 0.780027 [0.786408,0.773585] precision 0.773542 [0.788945,0.757991] precision 0.787438 [0.79803,0.776744] precision 0.772734 [0.774038,0.771429] precision 0.799134 [0.794393,0.803922] precision 0.782458 [0.789216,0.775701] precision 0.796726 [0.801932,0.791469] precision 0.801955 [0.789954,0.81407] precision 0.800879 [0.824742,0.776786] precision 0.787141 [0.791262,0.783019] precision 0.790489 [0.808081,0.772727] precision 0.770903 [0.759091,0.782828] precision 0.804079 [0.819095,0.788991] precision 0.786351 [0.811518,0.761062] precision 0.796168 [0.795238,0.797101] precision 0.795128 [0.815385,0.774775] precision 0.806633 [0.823232,0.789954] precision 0.780677 [0.8,0.761261] precision 0.803478 [0.809756,0.79717] precision 0.793852 [0.821053,0.76652] precision 0.811735 [0.792793,0.830769] precision 0.786877 [0.777778,0.79602] precision 0.794713 [0.778281,0.811224] precision 0.82845 [0.847716,0.809091] precision 0.779397 [0.777251,0.781553] precision 0.784194 [0.781991,0.786408] precision 0.767433 [0.764151,0.770732] precision 0.784173 [0.784689,0.783654] precision 0.777043 [0.781553,0.772512] precision 0.743659 [0.736111,0.751244] precision 0.779397 [0.777251,0.781553] precision 0.769784 [0.770335,0.769231] precision 0.789659 [0.80402,0.775229] precision 0.789066 [0.784038,0.794118] precision 0.78853 [0.8125,0.764444] precision 0.793797 [0.797101,0.790476] precision 0.791547 [0.79902,0.784038] precision 0.804763 [0.825641,0.783784] precision 0.793787 [0.791469,0.796117] precision 0.811112 [0.798165,0.824121] precision 0.793864 [0.788732,0.79902] precision 0.775006 [0.78607,0.763889] predictive_accuracy 0.803828 predictive_accuracy 0.789474 predictive_accuracy 0.772727 predictive_accuracy 0.799043 predictive_accuracy 0.796651 predictive_accuracy 0.784689 predictive_accuracy 0.808612 predictive_accuracy 0.803828 predictive_accuracy 0.777512 predictive_accuracy 0.815789 predictive_accuracy 0.772727 predictive_accuracy 0.801435 predictive_accuracy 0.753589 predictive_accuracy 0.832536 predictive_accuracy 0.779904 predictive_accuracy 0.779904 predictive_accuracy 0.772727 predictive_accuracy 0.767943 predictive_accuracy 0.782297 predictive_accuracy 0.763158 predictive_accuracy 0.856459 predictive_accuracy 0.799043 predictive_accuracy 0.80622 predictive_accuracy 0.779904 predictive_accuracy 0.791866 predictive_accuracy 0.753589 predictive_accuracy 0.813397 predictive_accuracy 0.803828 predictive_accuracy 0.789474 predictive_accuracy 0.791866 predictive_accuracy 0.746411 predictive_accuracy 0.770335 predictive_accuracy 0.822967 predictive_accuracy 0.763158 predictive_accuracy 0.794258 predictive_accuracy 0.782297 predictive_accuracy 0.744019 predictive_accuracy 0.770335 predictive_accuracy 0.772727 predictive_accuracy 0.803828 predictive_accuracy 0.770335 predictive_accuracy 0.772727 predictive_accuracy 0.799043 predictive_accuracy 0.782297 predictive_accuracy 0.784689 predictive_accuracy 0.772727 predictive_accuracy 0.799043 predictive_accuracy 0.791866 predictive_accuracy 0.796651 predictive_accuracy 0.815789 predictive_accuracy 0.777512 predictive_accuracy 0.772727 predictive_accuracy 0.779904 predictive_accuracy 0.794258 predictive_accuracy 0.794258 predictive_accuracy 0.801435 predictive_accuracy 0.770335 predictive_accuracy 0.779904 predictive_accuracy 0.779904 predictive_accuracy 0.772727 predictive_accuracy 0.787081 predictive_accuracy 0.772727 predictive_accuracy 0.799043 predictive_accuracy 0.782297 predictive_accuracy 0.796651 predictive_accuracy 0.801435 predictive_accuracy 0.799043 predictive_accuracy 0.787081 predictive_accuracy 0.789474 predictive_accuracy 0.770335 predictive_accuracy 0.803357 predictive_accuracy 0.784173 predictive_accuracy 0.796163 predictive_accuracy 0.793765 predictive_accuracy 0.805755 predictive_accuracy 0.779376 predictive_accuracy 0.803357 predictive_accuracy 0.791367 predictive_accuracy 0.810552 predictive_accuracy 0.786571 predictive_accuracy 0.793765 predictive_accuracy 0.827338 predictive_accuracy 0.779376 predictive_accuracy 0.784173 predictive_accuracy 0.767386 predictive_accuracy 0.784173 predictive_accuracy 0.776978 predictive_accuracy 0.743405 predictive_accuracy 0.779376 predictive_accuracy 0.769784 predictive_accuracy 0.788969 predictive_accuracy 0.788969 predictive_accuracy 0.786571 predictive_accuracy 0.793765 predictive_accuracy 0.791367 predictive_accuracy 0.803357 predictive_accuracy 0.793765 predictive_accuracy 0.810552 predictive_accuracy 0.793765 predictive_accuracy 0.77458 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 recall 0.803828 [0.770335,0.837321] recall 0.789474 [0.771429,0.807692] recall 0.772727 [0.755981,0.789474] recall 0.799043 [0.780952,0.817308] recall 0.796651 [0.770335,0.822967] recall 0.784689 [0.76555,0.803828] recall 0.808612 [0.779904,0.837321] recall 0.803828 [0.795238,0.8125] recall 0.777512 [0.799043,0.755981] recall 0.815789 [0.789474,0.842105] recall 0.772727 [0.771429,0.774038] recall 0.801435 [0.771429,0.831731] recall 0.753589 [0.747619,0.759615] recall 0.832536 [0.819048,0.846154] recall 0.779904 [0.804762,0.754808] recall 0.779904 [0.790476,0.769231] recall 0.772727 [0.790476,0.754808] recall 0.767943 [0.761905,0.774038] recall 0.782297 [0.733333,0.831731] recall 0.763158 [0.714286,0.8125] recall 0.856459 [0.861905,0.850962] recall 0.799043 [0.809524,0.788462] recall 0.80622 [0.833333,0.778846] recall 0.779904 [0.785714,0.774038] recall 0.791866 [0.757143,0.826923] recall 0.753589 [0.742857,0.764423] recall 0.813397 [0.804762,0.822115] recall 0.803828 [0.804762,0.802885] recall 0.789474 [0.790476,0.788462] recall 0.791866 [0.780952,0.802885] recall 0.746411 [0.709524,0.783654] recall 0.770335 [0.752381,0.788462] recall 0.822967 [0.780952,0.865385] recall 0.763158 [0.742857,0.783654] recall 0.794258 [0.77619,0.8125] recall 0.782297 [0.795238,0.769231] recall 0.744019 [0.771429,0.716346] recall 0.770335 [0.733333,0.807692] recall 0.772727 [0.747619,0.798077] recall 0.803828 [0.828571,0.778846] recall 0.770335 [0.785714,0.754808] recall 0.772727 [0.814286,0.730769] recall 0.799043 [0.804762,0.793269] recall 0.782297 [0.785714,0.778846] recall 0.784689 [0.77619,0.793269] recall 0.772727 [0.752381,0.793269] recall 0.799043 [0.790476,0.807692] recall 0.791866 [0.785714,0.798077] recall 0.796651 [0.771429,0.822115] recall 0.815789 [0.819048,0.8125] recall 0.777512 [0.761905,0.793269] recall 0.772727 [0.771429,0.774038] recall 0.779904 [0.757143,0.802885] recall 0.794258 [0.795238,0.793269] recall 0.794258 [0.790476,0.798077] recall 0.801435 [0.790476,0.8125] recall 0.770335 [0.785714,0.754808] recall 0.779904 [0.771429,0.788462] recall 0.779904 [0.771429,0.788462] recall 0.772727 [0.747619,0.798077] recall 0.787081 [0.771429,0.802885] recall 0.772727 [0.770335,0.77512] recall 0.799043 [0.809524,0.788462] recall 0.782297 [0.770335,0.794258] recall 0.796651 [0.790476,0.802885] recall 0.801435 [0.82381,0.778846] recall 0.799043 [0.761905,0.836538] recall 0.787081 [0.779904,0.794258] recall 0.789474 [0.761905,0.817308] recall 0.770335 [0.795238,0.745192] recall 0.803357 [0.779904,0.826923] recall 0.784173 [0.741627,0.826923] recall 0.796163 [0.799043,0.793269] recall 0.793765 [0.760766,0.826923] recall 0.805755 [0.779904,0.831731] recall 0.779376 [0.746411,0.8125] recall 0.803357 [0.794258,0.8125] recall 0.791367 [0.746411,0.836538] recall 0.810552 [0.842105,0.778846] recall 0.786571 [0.803828,0.769231] recall 0.793765 [0.822967,0.764423] recall 0.827338 [0.799043,0.855769] recall 0.779376 [0.784689,0.774038] recall 0.784173 [0.789474,0.778846] recall 0.767386 [0.77512,0.759615] recall 0.784173 [0.784689,0.783654] recall 0.776978 [0.770335,0.783654] recall 0.743405 [0.760766,0.725962] recall 0.779376 [0.784689,0.774038] recall 0.769784 [0.770335,0.769231] recall 0.788969 [0.76555,0.8125] recall 0.788969 [0.799043,0.778846] recall 0.786571 [0.746411,0.826923] recall 0.793765 [0.789474,0.798077] recall 0.791367 [0.779904,0.802885] recall 0.803357 [0.770335,0.836538] recall 0.793765 [0.799043,0.788462] recall 0.810552 [0.832536,0.788462] recall 0.793765 [0.803828,0.783654] recall 0.77458 [0.755981,0.793269] relative_absolute_error 0.555979 relative_absolute_error 0.570917 relative_absolute_error 0.59007 relative_absolute_error 0.563267 relative_absolute_error 0.565451 relative_absolute_error 0.57992 relative_absolute_error 0.559806 relative_absolute_error 0.566131 relative_absolute_error 0.572434 relative_absolute_error 0.550025 relative_absolute_error 0.587932 relative_absolute_error 0.554108 relative_absolute_error 0.615334 relative_absolute_error 0.51487 relative_absolute_error 0.59356 relative_absolute_error 0.584007 relative_absolute_error 0.569226 relative_absolute_error 0.599278 relative_absolute_error 0.584844 relative_absolute_error 0.604671 relative_absolute_error 0.517667 relative_absolute_error 0.571603 relative_absolute_error 0.560992 relative_absolute_error 0.57651 relative_absolute_error 0.587108 relative_absolute_error 0.633405 relative_absolute_error 0.536388 relative_absolute_error 0.597051 relative_absolute_error 0.55839 relative_absolute_error 0.589558 relative_absolute_error 0.617456 relative_absolute_error 0.599563 relative_absolute_error 0.545628 relative_absolute_error 0.613095 relative_absolute_error 0.573546 relative_absolute_error 0.582723 relative_absolute_error 0.623226 relative_absolute_error 0.594307 relative_absolute_error 0.614943 relative_absolute_error 0.554554 relative_absolute_error 0.609832 relative_absolute_error 0.580499 relative_absolute_error 0.564389 relative_absolute_error 0.59636 relative_absolute_error 0.591601 relative_absolute_error 0.592944 relative_absolute_error 0.579149 relative_absolute_error 0.579642 relative_absolute_error 0.55953 relative_absolute_error 0.533445 relative_absolute_error 0.593707 relative_absolute_error 0.596666 relative_absolute_error 0.583785 relative_absolute_error 0.552387 relative_absolute_error 0.56819 relative_absolute_error 0.550966 relative_absolute_error 0.591437 relative_absolute_error 0.574371 relative_absolute_error 0.593189 relative_absolute_error 0.609552 relative_absolute_error 0.586479 relative_absolute_error 0.609132 relative_absolute_error 0.554668 relative_absolute_error 0.583757 relative_absolute_error 0.541789 relative_absolute_error 0.544109 relative_absolute_error 0.570329 relative_absolute_error 0.56946 relative_absolute_error 0.582195 relative_absolute_error 0.581455 relative_absolute_error 0.557346 relative_absolute_error 0.582714 relative_absolute_error 0.578496 relative_absolute_error 0.580504 relative_absolute_error 0.579679 relative_absolute_error 0.593304 relative_absolute_error 0.581545 relative_absolute_error 0.545717 relative_absolute_error 0.56267 relative_absolute_error 0.577597 relative_absolute_error 0.555971 relative_absolute_error 0.548775 relative_absolute_error 0.590076 relative_absolute_error 0.602192 relative_absolute_error 0.603253 relative_absolute_error 0.575219 relative_absolute_error 0.603846 relative_absolute_error 0.6142 relative_absolute_error 0.57485 relative_absolute_error 0.599818 relative_absolute_error 0.593438 relative_absolute_error 0.568582 relative_absolute_error 0.590764 relative_absolute_error 0.574861 relative_absolute_error 0.551572 relative_absolute_error 0.529365 relative_absolute_error 0.56153 relative_absolute_error 0.539661 relative_absolute_error 0.560799 relative_absolute_error 0.574442 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_squared_error 0.36978 root_mean_squared_error 0.384771 root_mean_squared_error 0.39179 root_mean_squared_error 0.374651 root_mean_squared_error 0.373733 root_mean_squared_error 0.389485 root_mean_squared_error 0.377362 root_mean_squared_error 0.384549 root_mean_squared_error 0.379935 root_mean_squared_error 0.357953 root_mean_squared_error 0.391025 root_mean_squared_error 0.377527 root_mean_squared_error 0.405116 root_mean_squared_error 0.345156 root_mean_squared_error 0.392846 root_mean_squared_error 0.386062 root_mean_squared_error 0.380816 root_mean_squared_error 0.388787 root_mean_squared_error 0.391428 root_mean_squared_error 0.402866 root_mean_squared_error 0.343233 root_mean_squared_error 0.373177 root_mean_squared_error 0.369716 root_mean_squared_error 0.388313 root_mean_squared_error 0.385531 root_mean_squared_error 0.412119 root_mean_squared_error 0.36552 root_mean_squared_error 0.388256 root_mean_squared_error 0.379764 root_mean_squared_error 0.391357 root_mean_squared_error 0.404565 root_mean_squared_error 0.395382 root_mean_squared_error 0.362216 root_mean_squared_error 0.401218 root_mean_squared_error 0.378126 root_mean_squared_error 0.383902 root_mean_squared_error 0.416221 root_mean_squared_error 0.395749 root_mean_squared_error 0.404895 root_mean_squared_error 0.371101 root_mean_squared_error 0.401296 root_mean_squared_error 0.389093 root_mean_squared_error 0.382764 root_mean_squared_error 0.393236 root_mean_squared_error 0.393061 root_mean_squared_error 0.395017 root_mean_squared_error 0.382512 root_mean_squared_error 0.378841 root_mean_squared_error 0.372996 root_mean_squared_error 0.355328 root_mean_squared_error 0.392892 root_mean_squared_error 0.392454 root_mean_squared_error 0.386225 root_mean_squared_error 0.375469 root_mean_squared_error 0.375825 root_mean_squared_error 0.369522 root_mean_squared_error 0.390407 root_mean_squared_error 0.379506 root_mean_squared_error 0.389202 root_mean_squared_error 0.396391 root_mean_squared_error 0.385209 root_mean_squared_error 0.389711 root_mean_squared_error 0.372221 root_mean_squared_error 0.388117 root_mean_squared_error 0.365019 root_mean_squared_error 0.365059 root_mean_squared_error 0.371352 root_mean_squared_error 0.384425 root_mean_squared_error 0.381221 root_mean_squared_error 0.387663 root_mean_squared_error 0.373426 root_mean_squared_error 0.383946 root_mean_squared_error 0.37861 root_mean_squared_error 0.376266 root_mean_squared_error 0.379428 root_mean_squared_error 0.384815 root_mean_squared_error 0.379956 root_mean_squared_error 0.366587 root_mean_squared_error 0.371364 root_mean_squared_error 0.383375 root_mean_squared_error 0.372017 root_mean_squared_error 0.365814 root_mean_squared_error 0.389278 root_mean_squared_error 0.39401 root_mean_squared_error 0.399269 root_mean_squared_error 0.376295 root_mean_squared_error 0.397224 root_mean_squared_error 0.41134 root_mean_squared_error 0.380426 root_mean_squared_error 0.39654 root_mean_squared_error 0.391561 root_mean_squared_error 0.383316 root_mean_squared_error 0.393146 root_mean_squared_error 0.380474 root_mean_squared_error 0.373043 root_mean_squared_error 0.362077 root_mean_squared_error 0.369082 root_mean_squared_error 0.362105 root_mean_squared_error 0.371718 root_mean_squared_error 0.387032 root_relative_squared_error 0.739555 root_relative_squared_error 0.76955 root_relative_squared_error 0.783575 root_relative_squared_error 0.74931 root_relative_squared_error 0.74746 root_relative_squared_error 0.778965 root_relative_squared_error 0.754719 root_relative_squared_error 0.769105 root_relative_squared_error 0.759866 root_relative_squared_error 0.715901 root_relative_squared_error 0.782059 root_relative_squared_error 0.755061 root_relative_squared_error 0.81024 root_relative_squared_error 0.690319 root_relative_squared_error 0.7857 root_relative_squared_error 0.772132 root_relative_squared_error 0.761639 root_relative_squared_error 0.777583 root_relative_squared_error 0.782865 root_relative_squared_error 0.80574 root_relative_squared_error 0.686473 root_relative_squared_error 0.746363 root_relative_squared_error 0.73944 root_relative_squared_error 0.776635 root_relative_squared_error 0.771071 root_relative_squared_error 0.824246 root_relative_squared_error 0.731049 root_relative_squared_error 0.77652 root_relative_squared_error 0.759536 root_relative_squared_error 0.782723 root_relative_squared_error 0.809138 root_relative_squared_error 0.790773 root_relative_squared_error 0.72444 root_relative_squared_error 0.802444 root_relative_squared_error 0.756259 root_relative_squared_error 0.767813 root_relative_squared_error 0.83245 root_relative_squared_error 0.791507 root_relative_squared_error 0.8098 root_relative_squared_error 0.74221 root_relative_squared_error 0.8026 root_relative_squared_error 0.778194 root_relative_squared_error 0.765536 root_relative_squared_error 0.786481 root_relative_squared_error 0.786131 root_relative_squared_error 0.790043 root_relative_squared_error 0.765032 root_relative_squared_error 0.75769 root_relative_squared_error 0.746001 root_relative_squared_error 0.710664 root_relative_squared_error 0.785793 root_relative_squared_error 0.784917 root_relative_squared_error 0.772457 root_relative_squared_error 0.750945 root_relative_squared_error 0.751657 root_relative_squared_error 0.739051 root_relative_squared_error 0.780821 root_relative_squared_error 0.759021 root_relative_squared_error 0.778413 root_relative_squared_error 0.792791 root_relative_squared_error 0.770427 root_relative_squared_error 0.779417 root_relative_squared_error 0.74445 root_relative_squared_error 0.776228 root_relative_squared_error 0.730046 root_relative_squared_error 0.730125 root_relative_squared_error 0.742713 root_relative_squared_error 0.768844 root_relative_squared_error 0.76245 root_relative_squared_error 0.775335 root_relative_squared_error 0.746853 root_relative_squared_error 0.767894 root_relative_squared_error 0.757223 root_relative_squared_error 0.752534 root_relative_squared_error 0.758858 root_relative_squared_error 0.769632 root_relative_squared_error 0.759914 root_relative_squared_error 0.733175 root_relative_squared_error 0.742729 root_relative_squared_error 0.766752 root_relative_squared_error 0.744035 root_relative_squared_error 0.73163 root_relative_squared_error 0.778557 root_relative_squared_error 0.788022 root_relative_squared_error 0.798541 root_relative_squared_error 0.752592 root_relative_squared_error 0.79445 root_relative_squared_error 0.822681 root_relative_squared_error 0.760854 root_relative_squared_error 0.793081 root_relative_squared_error 0.783124 root_relative_squared_error 0.766634 root_relative_squared_error 0.786293 root_relative_squared_error 0.760949 root_relative_squared_error 0.746088 root_relative_squared_error 0.724156 root_relative_squared_error 0.738165 root_relative_squared_error 0.724212 root_relative_squared_error 0.743437 root_relative_squared_error 0.774065 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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 17770 usercpu_time_millis 17920 usercpu_time_millis 17640 usercpu_time_millis 17540 usercpu_time_millis 17630 usercpu_time_millis 17800 usercpu_time_millis 17690 usercpu_time_millis 17720 usercpu_time_millis 17830 usercpu_time_millis 17590 usercpu_time_millis 17950 usercpu_time_millis 17820 usercpu_time_millis 17820 usercpu_time_millis 17850 usercpu_time_millis 17610 usercpu_time_millis 17830 usercpu_time_millis 17910 usercpu_time_millis 17820 usercpu_time_millis 17700 usercpu_time_millis 17380 usercpu_time_millis 17380 usercpu_time_millis 17360 usercpu_time_millis 17430 usercpu_time_millis 17660 usercpu_time_millis 17520 usercpu_time_millis 17530 usercpu_time_millis 17650 usercpu_time_millis 17610 usercpu_time_millis 17590 usercpu_time_millis 17990 usercpu_time_millis 17880 usercpu_time_millis 17610 usercpu_time_millis 17880 usercpu_time_millis 17460 usercpu_time_millis 17780 usercpu_time_millis 17750 usercpu_time_millis 17720 usercpu_time_millis 17590 usercpu_time_millis 17830 usercpu_time_millis 17770 usercpu_time_millis 17440 usercpu_time_millis 17750 usercpu_time_millis 17940 usercpu_time_millis 17660 usercpu_time_millis 17870 usercpu_time_millis 17390 usercpu_time_millis 17680 usercpu_time_millis 17530 usercpu_time_millis 17760 usercpu_time_millis 17540 usercpu_time_millis 17620 usercpu_time_millis 17490 usercpu_time_millis 17840 usercpu_time_millis 17850 usercpu_time_millis 17870 usercpu_time_millis 17660 usercpu_time_millis 17910 usercpu_time_millis 17690 usercpu_time_millis 17580 usercpu_time_millis 17520 usercpu_time_millis 17690 usercpu_time_millis 17600 usercpu_time_millis 17660 usercpu_time_millis 17720 usercpu_time_millis 17750 usercpu_time_millis 17820 usercpu_time_millis 17370 usercpu_time_millis 17620 usercpu_time_millis 17520 usercpu_time_millis 17560 usercpu_time_millis 17760 usercpu_time_millis 17740 usercpu_time_millis 17520 usercpu_time_millis 17620 usercpu_time_millis 17770 usercpu_time_millis 17790 usercpu_time_millis 17790 usercpu_time_millis 17630 usercpu_time_millis 17680 usercpu_time_millis 17720 usercpu_time_millis 17530 usercpu_time_millis 17990 usercpu_time_millis 17500 usercpu_time_millis 17540 usercpu_time_millis 17630 usercpu_time_millis 18060 usercpu_time_millis 17360 usercpu_time_millis 17570 usercpu_time_millis 17610 usercpu_time_millis 17720 usercpu_time_millis 17610 usercpu_time_millis 17450 usercpu_time_millis 17570 usercpu_time_millis 17420 usercpu_time_millis 17850 usercpu_time_millis 17840 usercpu_time_millis 17770 usercpu_time_millis 17450 usercpu_time_millis 17380 usercpu_time_millis 17930 usercpu_time_millis_testing 17770 usercpu_time_millis_testing 17920 usercpu_time_millis_testing 17640 usercpu_time_millis_testing 17540 usercpu_time_millis_testing 17630 usercpu_time_millis_testing 17800 usercpu_time_millis_testing 17690 usercpu_time_millis_testing 17720 usercpu_time_millis_testing 17820 usercpu_time_millis_testing 17590 usercpu_time_millis_testing 17950 usercpu_time_millis_testing 17820 usercpu_time_millis_testing 17820 usercpu_time_millis_testing 17850 usercpu_time_millis_testing 17610 usercpu_time_millis_testing 17830 usercpu_time_millis_testing 17910 usercpu_time_millis_testing 17820 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