336848 2 Joaquin Vanschoren 4312 Supervised Classification predictive_accuracy 1082 weka.LMT(3) 1852 weka.classifiers.trees.LMT -- -I -1 -M 15 -W 0.0 I -1 1082 M 15 1082 W 0.0 1082 weka weka_3.7.12 741 rmftsa_sleepdata https://www.openml.org/data/download/53275/rmftsa_sleepdata.arff -1 1154995 description https://api.openml.org/data/download/1154995/weka_generated_run7618772709893049446.xml -1 1154998 model_readable https://api.openml.org/data/download/1154998/WekaModel_weka.classifiers.trees.LMT7236108501088429933.model -1 1154997 model_serialized https://api.openml.org/data/download/1154997/WekaSerialized_weka.classifiers.trees.LMT742247191711455779.model -1 1154996 predictions https://api.openml.org/data/download/1154996/weka_generated_predictions3269205727172679631.arff area_under_roc_curve 0.799518 [0.799518,0.799518] average_cost 0 f_measure 0.737263 [0.733082,0.741396] kappa 0.47453 kb_relative_information_score 3384.10632 mean_absolute_error 0.349576 mean_prior_absolute_error 0.499983 number_of_instances 10240 [5090,5150] os_information [Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic] precision 0.737368 [0.740577,0.734196] predictive_accuracy 0.737305 prior_entropy 0.999975 recall 0.737305 [0.725737,0.748738] relative_absolute_error 0.699175 root_mean_prior_squared_error 0.499991 root_mean_squared_error 0.424888 root_relative_squared_error 0.84979 scimark_benchmark 1331.868165 [809.3924190983307, 997.3886993266503, 531.5553006960165, 1091.3572248632668, 3229.64718072965] total_cost 0 usercpu_time_millis 190 usercpu_time_millis_testing 0 usercpu_time_millis_training 190 area_under_roc_curve 0.841063 [0.841063,0.841063] area_under_roc_curve 0.755845 [0.755845,0.755845] area_under_roc_curve 0.782051 [0.782051,0.782051] area_under_roc_curve 0.809389 [0.809389,0.809389] area_under_roc_curve 0.777526 [0.777526,0.777526] area_under_roc_curve 0.884427 [0.884427,0.884427] area_under_roc_curve 0.77319 [0.77319,0.77319] area_under_roc_curve 0.845965 [0.845965,0.845965] area_under_roc_curve 0.805995 [0.805995,0.805995] area_under_roc_curve 0.770739 [0.770739,0.770739] area_under_roc_curve 0.810332 [0.810332,0.810332] area_under_roc_curve 0.798831 [0.798831,0.798831] area_under_roc_curve 0.867459 [0.867459,0.867459] area_under_roc_curve 0.739442 [0.739442,0.739442] area_under_roc_curve 0.793929 [0.793929,0.793929] area_under_roc_curve 0.753017 [0.753017,0.753017] area_under_roc_curve 0.782805 [0.782805,0.782805] area_under_roc_curve 0.808258 [0.808258,0.808258] area_under_roc_curve 0.812783 [0.812783,0.812783] area_under_roc_curve 0.878582 [0.878582,0.878582] area_under_roc_curve 0.817119 [0.817119,0.817119] area_under_roc_curve 0.800716 [0.800716,0.800716] area_under_roc_curve 0.789027 [0.789027,0.789027] area_under_roc_curve 0.871983 [0.871983,0.871983] area_under_roc_curve 0.782051 [0.782051,0.782051] area_under_roc_curve 0.720211 [0.720211,0.720211] area_under_roc_curve 0.813914 [0.813914,0.813914] area_under_roc_curve 0.838989 [0.838989,0.838989] area_under_roc_curve 0.78092 [0.78092,0.78092] area_under_roc_curve 0.859351 [0.859351,0.859351] area_under_roc_curve 0.78356 [0.78356,0.78356] area_under_roc_curve 0.738688 [0.738688,0.738688] area_under_roc_curve 0.783183 [0.783183,0.783183] area_under_roc_curve 0.85954 [0.85954,0.85954] area_under_roc_curve 0.857655 [0.857655,0.857655] area_under_roc_curve 0.785068 [0.785068,0.785068] area_under_roc_curve 0.839932 [0.839932,0.839932] area_under_roc_curve 0.748303 [0.748303,0.748303] area_under_roc_curve 0.763763 [0.763763,0.763763] area_under_roc_curve 0.903658 [0.903658,0.903658] area_under_roc_curve 0.848712 [0.848712,0.848712] area_under_roc_curve 0.791811 [0.791811,0.791811] area_under_roc_curve 0.801807 [0.801807,0.801807] area_under_roc_curve 0.774038 [0.774038,0.774038] area_under_roc_curve 0.848462 [0.848462,0.848462] area_under_roc_curve 0.822568 [0.822568,0.822568] area_under_roc_curve 0.790769 [0.790769,0.790769] area_under_roc_curve 0.806538 [0.806538,0.806538] area_under_roc_curve 0.827566 [0.827566,0.827566] area_under_roc_curve 0.847943 [0.847943,0.847943] area_under_roc_curve 0.753172 [0.753172,0.753172] area_under_roc_curve 0.873895 [0.873895,0.873895] area_under_roc_curve 0.688197 [0.688197,0.688197] area_under_roc_curve 0.811611 [0.811611,0.811611] area_under_roc_curve 0.796232 [0.796232,0.796232] area_under_roc_curve 0.801423 [0.801423,0.801423] area_under_roc_curve 0.798347 [0.798347,0.798347] area_under_roc_curve 0.790465 [0.790465,0.790465] area_under_roc_curve 0.83737 [0.83737,0.83737] area_under_roc_curve 0.813149 [0.813149,0.813149] area_under_roc_curve 0.816225 [0.816225,0.816225] area_under_roc_curve 0.844098 [0.844098,0.844098] area_under_roc_curve 0.852749 [0.852749,0.852749] area_under_roc_curve 0.783929 [0.783929,0.783929] area_under_roc_curve 0.820454 [0.820454,0.820454] area_under_roc_curve 0.906574 [0.906574,0.906574] area_under_roc_curve 0.760477 [0.760477,0.760477] area_under_roc_curve 0.777201 [0.777201,0.777201] area_under_roc_curve 0.821992 [0.821992,0.821992] area_under_roc_curve 0.778739 [0.778739,0.778739] area_under_roc_curve 0.821415 [0.821415,0.821415] area_under_roc_curve 0.737985 [0.737985,0.737985] area_under_roc_curve 0.842753 [0.842753,0.842753] area_under_roc_curve 0.787582 [0.787582,0.787582] area_under_roc_curve 0.787582 [0.787582,0.787582] area_under_roc_curve 0.70223 [0.70223,0.70223] area_under_roc_curve 0.875433 [0.875433,0.875433] area_under_roc_curve 0.831795 [0.831795,0.831795] area_under_roc_curve 0.712995 [0.712995,0.712995] area_under_roc_curve 0.768551 [0.768551,0.768551] area_under_roc_curve 0.775279 [0.775279,0.775279] area_under_roc_curve 0.895233 [0.895233,0.895233] area_under_roc_curve 0.705882 [0.705882,0.705882] area_under_roc_curve 0.831795 [0.831795,0.831795] area_under_roc_curve 0.775279 [0.775279,0.775279] area_under_roc_curve 0.832564 [0.832564,0.832564] area_under_roc_curve 0.830834 [0.830834,0.830834] area_under_roc_curve 0.826221 [0.826221,0.826221] area_under_roc_curve 0.812572 [0.812572,0.812572] area_under_roc_curve 0.739715 [0.739715,0.739715] area_under_roc_curve 0.804038 [0.804038,0.804038] area_under_roc_curve 0.792692 [0.792692,0.792692] area_under_roc_curve 0.859038 [0.859038,0.859038] area_under_roc_curve 0.782968 [0.782968,0.782968] area_under_roc_curve 0.836794 [0.836794,0.836794] area_under_roc_curve 0.857308 [0.857308,0.857308] area_under_roc_curve 0.774125 [0.774125,0.774125] area_under_roc_curve 0.798731 [0.798731,0.798731] area_under_roc_curve 0.85 [0.85,0.85] area_under_roc_curve 0.722885 [0.722885,0.722885] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.73712 [0.721649,0.752294] f_measure 0.66859 [0.645833,0.690909] f_measure 0.735619 [0.709677,0.761062] f_measure 0.735619 [0.709677,0.761062] f_measure 0.698461 [0.71028,0.686869] f_measure 0.805715 [0.8,0.811321] f_measure 0.747525 [0.75,0.745098] f_measure 0.745415 [0.767857,0.723404] f_measure 0.718128 [0.707071,0.728972] f_measure 0.678339 [0.697248,0.659794] f_measure 0.786004 [0.77551,0.796296] f_measure 0.716951 [0.694737,0.738739] f_measure 0.786287 [0.78,0.792453] f_measure 0.638324 [0.666667,0.610526] f_measure 0.747573 [0.745098,0.75] f_measure 0.669841 [0.673077,0.666667] f_measure 0.71007 [0.658824,0.760331] f_measure 0.764546 [0.73913,0.789474] f_measure 0.698972 [0.693069,0.704762] f_measure 0.766727 [0.773585,0.76] f_measure 0.74743 [0.74,0.754717] f_measure 0.746569 [0.729167,0.763636] f_measure 0.689262 [0.692308,0.686275] f_measure 0.815325 [0.808081,0.82243] f_measure 0.718128 [0.707071,0.728972] f_measure 0.65042 [0.653846,0.647059] f_measure 0.698175 [0.680412,0.715596] f_measure 0.776699 [0.776699,0.776699] f_measure 0.708573 [0.7,0.716981] f_measure 0.76633 [0.777778,0.755102] f_measure 0.708683 [0.711538,0.705882] f_measure 0.66013 [0.653465,0.666667] f_measure 0.718287 [0.72381,0.712871] f_measure 0.796117 [0.796117,0.796117] f_measure 0.803789 [0.782609,0.824561] f_measure 0.737864 [0.737864,0.737864] f_measure 0.747096 [0.734694,0.759259] f_measure 0.68932 [0.686275,0.692308] f_measure 0.724093 [0.688889,0.758621] f_measure 0.805715 [0.8,0.811321] f_measure 0.80362 [0.811321,0.795918] f_measure 0.713455 [0.688172,0.738739] f_measure 0.735269 [0.732673,0.737864] f_measure 0.72549 [0.72549,0.72549] f_measure 0.735218 [0.727273,0.742857] f_measure 0.74352 [0.723404,0.763636] f_measure 0.744508 [0.729167,0.759259] f_measure 0.705882 [0.705882,0.705882] f_measure 0.763889 [0.777778,0.75] f_measure 0.754878 [0.752475,0.757282] f_measure 0.745 [0.75,0.74] f_measure 0.794098 [0.792079,0.796117] f_measure 0.666538 [0.66,0.673077] f_measure 0.754878 [0.752475,0.757282] f_measure 0.745098 [0.745098,0.745098] f_measure 0.744213 [0.729167,0.759259] f_measure 0.745 [0.74,0.75] f_measure 0.671128 [0.629213,0.713043] f_measure 0.754878 [0.757282,0.752475] f_measure 0.764615 [0.76,0.769231] f_measure 0.735269 [0.732673,0.737864] f_measure 0.754312 [0.766355,0.742268] f_measure 0.744705 [0.734694,0.754717] f_measure 0.705429 [0.716981,0.693878] f_measure 0.763889 [0.777778,0.75] f_measure 0.852587 [0.845361,0.859813] f_measure 0.68323 [0.714286,0.652174] f_measure 0.72549 [0.72549,0.72549] f_measure 0.764706 [0.764706,0.764706] f_measure 0.724537 [0.708333,0.740741] f_measure 0.752979 [0.731183,0.774775] f_measure 0.656036 [0.672897,0.639175] f_measure 0.803241 [0.814815,0.791667] f_measure 0.724537 [0.708333,0.740741] f_measure 0.74352 [0.723404,0.763636] f_measure 0.666667 [0.666667,0.666667] f_measure 0.813708 [0.811881,0.815534] f_measure 0.80362 [0.795918,0.811321] f_measure 0.638155 [0.581395,0.694915] f_measure 0.685791 [0.698113,0.673469] f_measure 0.695346 [0.71028,0.680412] f_measure 0.823462 [0.82,0.826923] f_measure 0.685791 [0.698113,0.673469] f_measure 0.794098 [0.796117,0.792079] f_measure 0.692502 [0.725664,0.659341] f_measure 0.74352 [0.763636,0.723404] f_measure 0.774488 [0.776699,0.772277] f_measure 0.774488 [0.772277,0.776699] f_measure 0.75469 [0.761905,0.747475] f_measure 0.69464 [0.715596,0.673684] f_measure 0.754926 [0.752475,0.757282] f_measure 0.745098 [0.745098,0.745098] f_measure 0.803011 [0.787234,0.818182] f_measure 0.67619 [0.666667,0.685714] f_measure 0.774488 [0.776699,0.772277] f_measure 0.803922 [0.803922,0.803922] f_measure 0.67619 [0.666667,0.685714] f_measure 0.715659 [0.718447,0.712871] f_measure 0.772339 [0.747253,0.79646] f_measure 0.676003 [0.659794,0.691589] kappa 0.475184 kappa 0.338996 kappa 0.474788 kappa 0.474788 kappa 0.398568 kappa 0.611467 kappa 0.495288 kappa 0.496048 kappa 0.436521 kappa 0.360008 kappa 0.572453 kappa 0.436096 kappa 0.572614 kappa 0.282703 kappa 0.495098 kappa 0.339992 kappa 0.435029 kappa 0.533056 kappa 0.397888 kappa 0.534288 kappa 0.494908 kappa 0.494526 kappa 0.378816 kappa 0.630824 kappa 0.436521 kappa 0.301168 kappa 0.397433 kappa 0.55344 kappa 0.417201 kappa 0.534463 kappa 0.41764 kappa 0.320196 kappa 0.437158 kappa 0.592271 kappa 0.61088 kappa 0.475778 kappa 0.494717 kappa 0.378582 kappa 0.455026 kappa 0.611467 kappa 0.607843 kappa 0.431373 kappa 0.470588 kappa 0.451191 kappa 0.470181 kappa 0.490196 kappa 0.489214 kappa 0.411991 kappa 0.529412 kappa 0.509804 kappa 0.490196 kappa 0.588235 kappa 0.333333 kappa 0.509804 kappa 0.490196 kappa 0.490196 kappa 0.490196 kappa 0.352941 kappa 0.509804 kappa 0.529412 kappa 0.470588 kappa 0.509804 kappa 0.490196 kappa 0.411765 kappa 0.529412 kappa 0.705882 kappa 0.372549 kappa 0.45098 kappa 0.529412 kappa 0.45098 kappa 0.509804 kappa 0.313725 kappa 0.607843 kappa 0.45098 kappa 0.490196 kappa 0.333333 kappa 0.627451 kappa 0.607843 kappa 0.294118 kappa 0.372549 kappa 0.392157 kappa 0.647059 kappa 0.372549 kappa 0.588235 kappa 0.392157 kappa 0.490196 kappa 0.54902 kappa 0.54902 kappa 0.509804 kappa 0.392157 kappa 0.509804 kappa 0.490392 kappa 0.606785 kappa 0.352941 kappa 0.54902 kappa 0.607994 kappa 0.352941 kappa 0.431373 kappa 0.547279 kappa 0.351945 kb_relative_information_score 36.505375 kb_relative_information_score 28.758163 kb_relative_information_score 32.184721 kb_relative_information_score 36.126016 kb_relative_information_score 31.471769 kb_relative_information_score 40.466124 kb_relative_information_score 31.310169 kb_relative_information_score 39.455814 kb_relative_information_score 33.217153 kb_relative_information_score 29.128292 kb_relative_information_score 33.251107 kb_relative_information_score 31.048947 kb_relative_information_score 39.486933 kb_relative_information_score 24.903385 kb_relative_information_score 34.399395 kb_relative_information_score 29.052013 kb_relative_information_score 28.480595 kb_relative_information_score 33.104305 kb_relative_information_score 32.881596 kb_relative_information_score 42.051183 kb_relative_information_score 35.727623 kb_relative_information_score 34.515192 kb_relative_information_score 31.583674 kb_relative_information_score 41.566502 kb_relative_information_score 32.54036 kb_relative_information_score 24.342228 kb_relative_information_score 31.771735 kb_relative_information_score 39.035856 kb_relative_information_score 30.761878 kb_relative_information_score 40.699779 kb_relative_information_score 33.90421 kb_relative_information_score 24.399738 kb_relative_information_score 33.736337 kb_relative_information_score 41.230988 kb_relative_information_score 41.136295 kb_relative_information_score 33.801864 kb_relative_information_score 39.455273 kb_relative_information_score 28.186993 kb_relative_information_score 31.84915 kb_relative_information_score 43.775035 kb_relative_information_score 38.967366 kb_relative_information_score 33.420855 kb_relative_information_score 32.761502 kb_relative_information_score 30.69314 kb_relative_information_score 37.371764 kb_relative_information_score 35.624129 kb_relative_information_score 35.084022 kb_relative_information_score 33.876325 kb_relative_information_score 35.680478 kb_relative_information_score 36.543006 kb_relative_information_score 28.215264 kb_relative_information_score 41.097607 kb_relative_information_score 24.4174 kb_relative_information_score 34.085757 kb_relative_information_score 32.91602 kb_relative_information_score 33.763502 kb_relative_information_score 35.177249 kb_relative_information_score 25.753635 kb_relative_information_score 39.366793 kb_relative_information_score 36.15362 kb_relative_information_score 33.376921 kb_relative_information_score 38.404219 kb_relative_information_score 39.168864 kb_relative_information_score 32.549308 kb_relative_information_score 34.67178 kb_relative_information_score 46.887784 kb_relative_information_score 27.023191 kb_relative_information_score 28.901278 kb_relative_information_score 35.527254 kb_relative_information_score 29.91708 kb_relative_information_score 34.392239 kb_relative_information_score 24.692514 kb_relative_information_score 39.576656 kb_relative_information_score 31.035458 kb_relative_information_score 31.2073 kb_relative_information_score 21.511592 kb_relative_information_score 41.330729 kb_relative_information_score 40.571062 kb_relative_information_score 22.396693 kb_relative_information_score 30.360832 kb_relative_information_score 28.162995 kb_relative_information_score 44.792696 kb_relative_information_score 23.362743 kb_relative_information_score 37.531901 kb_relative_information_score 29.841612 kb_relative_information_score 37.321411 kb_relative_information_score 37.711494 kb_relative_information_score 39.854076 kb_relative_information_score 33.708175 kb_relative_information_score 28.038515 kb_relative_information_score 35.650841 kb_relative_information_score 31.644373 kb_relative_information_score 40.190046 kb_relative_information_score 29.326203 kb_relative_information_score 37.365775 kb_relative_information_score 39.19734 kb_relative_information_score 29.063675 kb_relative_information_score 31.582363 kb_relative_information_score 39.202972 kb_relative_information_score 24.781161 mean_absolute_error 0.338889 mean_absolute_error 0.369304 mean_absolute_error 0.35852 mean_absolute_error 0.33705 mean_absolute_error 0.359874 mean_absolute_error 0.323887 mean_absolute_error 0.362865 mean_absolute_error 0.325084 mean_absolute_error 0.354803 mean_absolute_error 0.370661 mean_absolute_error 0.35519 mean_absolute_error 0.362907 mean_absolute_error 0.326929 mean_absolute_error 0.385915 mean_absolute_error 0.348744 mean_absolute_error 0.368742 mean_absolute_error 0.377714 mean_absolute_error 0.35531 mean_absolute_error 0.355087 mean_absolute_error 0.313065 mean_absolute_error 0.342012 mean_absolute_error 0.347826 mean_absolute_error 0.357175 mean_absolute_error 0.318613 mean_absolute_error 0.353858 mean_absolute_error 0.38994 mean_absolute_error 0.359697 mean_absolute_error 0.327451 mean_absolute_error 0.36255 mean_absolute_error 0.31972 mean_absolute_error 0.347931 mean_absolute_error 0.390653 mean_absolute_error 0.349226 mean_absolute_error 0.319267 mean_absolute_error 0.319811 mean_absolute_error 0.35108 mean_absolute_error 0.322246 mean_absolute_error 0.375347 mean_absolute_error 0.358725 mean_absolute_error 0.307161 mean_absolute_error 0.328368 mean_absolute_error 0.350356 mean_absolute_error 0.354724 mean_absolute_error 0.363134 mean_absolute_error 0.331558 mean_absolute_error 0.341126 mean_absolute_error 0.34348 mean_absolute_error 0.345958 mean_absolute_error 0.341996 mean_absolute_error 0.3383 mean_absolute_error 0.376369 mean_absolute_error 0.318308 mean_absolute_error 0.389947 mean_absolute_error 0.348094 mean_absolute_error 0.354396 mean_absolute_error 0.349226 mean_absolute_error 0.342097 mean_absolute_error 0.386961 mean_absolute_error 0.323864 mean_absolute_error 0.338956 mean_absolute_error 0.350028 mean_absolute_error 0.326755 mean_absolute_error 0.325198 mean_absolute_error 0.35399 mean_absolute_error 0.345834 mean_absolute_error 0.293945 mean_absolute_error 0.379146 mean_absolute_error 0.372053 mean_absolute_error 0.341668 mean_absolute_error 0.367048 mean_absolute_error 0.346636 mean_absolute_error 0.388605 mean_absolute_error 0.325536 mean_absolute_error 0.36072 mean_absolute_error 0.362463 mean_absolute_error 0.403402 mean_absolute_error 0.317438 mean_absolute_error 0.320627 mean_absolute_error 0.39993 mean_absolute_error 0.361443 mean_absolute_error 0.373307 mean_absolute_error 0.301403 mean_absolute_error 0.395865 mean_absolute_error 0.334788 mean_absolute_error 0.365381 mean_absolute_error 0.333789 mean_absolute_error 0.333413 mean_absolute_error 0.322038 mean_absolute_error 0.349362 mean_absolute_error 0.375624 mean_absolute_error 0.342064 mean_absolute_error 0.361338 mean_absolute_error 0.322971 mean_absolute_error 0.366719 mean_absolute_error 0.335418 mean_absolute_error 0.326777 mean_absolute_error 0.367887 mean_absolute_error 0.356955 mean_absolute_error 0.324134 mean_absolute_error 0.387932 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499943 mean_prior_absolute_error 0.499943 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499943 mean_prior_absolute_error 0.499943 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499943 mean_prior_absolute_error 0.499943 mean_prior_absolute_error 0.499943 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499943 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499943 mean_prior_absolute_error 0.499943 number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [50,52] number_of_instances 102 [50,52] number_of_instances 102 [51,51] number_of_instances 102 [50,52] number_of_instances 102 [50,52] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [50,52] number_of_instances 102 [50,52] number_of_instances 102 [50,52] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [50,52] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [50,52] number_of_instances 102 [50,52] precision 0.739882 [0.76087,0.719298] precision 0.671867 [0.688889,0.655172] precision 0.744924 [0.785714,0.704918] precision 0.744924 [0.785714,0.704918] precision 0.701205 [0.678571,0.723404] precision 0.806214 [0.816327,0.796296] precision 0.748042 [0.735849,0.76] precision 0.757729 [0.704918,0.809524] precision 0.719031 [0.729167,0.709091] precision 0.683413 [0.655172,0.711111] precision 0.787987 [0.808511,0.767857] precision 0.72219 [0.75,0.694915] precision 0.78676 [0.795918,0.777778] precision 0.645823 [0.616667,0.674419] precision 0.747573 [0.745098,0.75] precision 0.670284 [0.660377,0.68] precision 0.744337 [0.823529,0.666667] precision 0.777035 [0.829268,0.725806] precision 0.699047 [0.7,0.698113] precision 0.768785 [0.745455,0.791667] precision 0.747852 [0.755102,0.740741] precision 0.750697 [0.777778,0.724138] precision 0.689723 [0.679245,0.7] precision 0.816505 [0.833333,0.8] precision 0.719031 [0.729167,0.709091] precision 0.650844 [0.641509,0.66] precision 0.70064 [0.717391,0.684211] precision 0.776845 [0.769231,0.784314] precision 0.708943 [0.714286,0.703704] precision 0.770923 [0.736842,0.804348] precision 0.709163 [0.698113,0.72] precision 0.660191 [0.66,0.660377] precision 0.719349 [0.703704,0.734694] precision 0.796267 [0.788462,0.803922] precision 0.817474 [0.878049,0.758065] precision 0.738003 [0.730769,0.745098] precision 0.748886 [0.765957,0.732143] precision 0.68932 [0.686275,0.692308] precision 0.740665 [0.794872,0.6875] precision 0.806214 [0.816327,0.796296] precision 0.805803 [0.781818,0.829787] precision 0.722619 [0.761905,0.683333] precision 0.735385 [0.74,0.730769] precision 0.726048 [0.711538,0.74] precision 0.735283 [0.734694,0.735849] precision 0.751281 [0.790698,0.711864] precision 0.746225 [0.76087,0.732143] precision 0.706425 [0.692308,0.72] precision 0.768421 [0.736842,0.8] precision 0.755 [0.76,0.75] precision 0.745476 [0.735849,0.755102] precision 0.794231 [0.8,0.788462] precision 0.666923 [0.673469,0.660377] precision 0.755 [0.76,0.75] precision 0.745098 [0.745098,0.745098] precision 0.748538 [0.777778,0.719298] precision 0.745476 [0.755102,0.735849] precision 0.688734 [0.736842,0.640625] precision 0.755 [0.75,0.76] precision 0.765114 [0.77551,0.754717] precision 0.735385 [0.74,0.730769] precision 0.757376 [0.732143,0.782609] precision 0.746615 [0.765957,0.727273] precision 0.707157 [0.690909,0.723404] precision 0.768421 [0.736842,0.8] precision 0.856366 [0.891304,0.821429] precision 0.693723 [0.655738,0.731707] precision 0.72549 [0.72549,0.72549] precision 0.764706 [0.764706,0.764706] precision 0.728655 [0.755556,0.701754] precision 0.763095 [0.809524,0.716667] precision 0.658385 [0.642857,0.673913] precision 0.808187 [0.77193,0.844444] precision 0.728655 [0.755556,0.701754] precision 0.751281 [0.790698,0.711864] precision 0.666667 [0.666667,0.666667] precision 0.813846 [0.82,0.807692] precision 0.805803 [0.829787,0.781818] precision 0.663113 [0.714286,0.61194] precision 0.687427 [0.672727,0.702128] precision 0.697981 [0.678571,0.717391] precision 0.824028 [0.836735,0.811321] precision 0.687427 [0.672727,0.702128] precision 0.794231 [0.788462,0.8] precision 0.705645 [0.66129,0.75] precision 0.751281 [0.711864,0.790698] precision 0.774615 [0.769231,0.78] precision 0.774615 [0.78,0.769231] precision 0.755787 [0.740741,0.770833] precision 0.699843 [0.672414,0.727273] precision 0.755094 [0.745098,0.764706] precision 0.745671 [0.730769,0.76] precision 0.807748 [0.840909,0.775862] precision 0.677083 [0.6875,0.666667] precision 0.774615 [0.769231,0.78] precision 0.80454 [0.788462,0.82] precision 0.677083 [0.6875,0.666667] precision 0.715769 [0.711538,0.72] precision 0.782589 [0.829268,0.737705] precision 0.67671 [0.680851,0.672727] predictive_accuracy 0.737864 predictive_accuracy 0.669903 predictive_accuracy 0.737864 predictive_accuracy 0.737864 predictive_accuracy 0.699029 predictive_accuracy 0.805825 predictive_accuracy 0.747573 predictive_accuracy 0.747573 predictive_accuracy 0.718447 predictive_accuracy 0.679612 predictive_accuracy 0.786408 predictive_accuracy 0.718447 predictive_accuracy 0.786408 predictive_accuracy 0.640777 predictive_accuracy 0.747573 predictive_accuracy 0.669903 predictive_accuracy 0.718447 predictive_accuracy 0.76699 predictive_accuracy 0.699029 predictive_accuracy 0.76699 predictive_accuracy 0.747573 predictive_accuracy 0.747573 predictive_accuracy 0.68932 predictive_accuracy 0.815534 predictive_accuracy 0.718447 predictive_accuracy 0.650485 predictive_accuracy 0.699029 predictive_accuracy 0.776699 predictive_accuracy 0.708738 predictive_accuracy 0.76699 predictive_accuracy 0.708738 predictive_accuracy 0.660194 predictive_accuracy 0.718447 predictive_accuracy 0.796117 predictive_accuracy 0.805825 predictive_accuracy 0.737864 predictive_accuracy 0.747573 predictive_accuracy 0.68932 predictive_accuracy 0.728155 predictive_accuracy 0.805825 predictive_accuracy 0.803922 predictive_accuracy 0.715686 predictive_accuracy 0.735294 predictive_accuracy 0.72549 predictive_accuracy 0.735294 predictive_accuracy 0.745098 predictive_accuracy 0.745098 predictive_accuracy 0.705882 predictive_accuracy 0.764706 predictive_accuracy 0.754902 predictive_accuracy 0.745098 predictive_accuracy 0.794118 predictive_accuracy 0.666667 predictive_accuracy 0.754902 predictive_accuracy 0.745098 predictive_accuracy 0.745098 predictive_accuracy 0.745098 predictive_accuracy 0.676471 predictive_accuracy 0.754902 predictive_accuracy 0.764706 predictive_accuracy 0.735294 predictive_accuracy 0.754902 predictive_accuracy 0.745098 predictive_accuracy 0.705882 predictive_accuracy 0.764706 predictive_accuracy 0.852941 predictive_accuracy 0.686275 predictive_accuracy 0.72549 predictive_accuracy 0.764706 predictive_accuracy 0.72549 predictive_accuracy 0.754902 predictive_accuracy 0.656863 predictive_accuracy 0.803922 predictive_accuracy 0.72549 predictive_accuracy 0.745098 predictive_accuracy 0.666667 predictive_accuracy 0.813725 predictive_accuracy 0.803922 predictive_accuracy 0.647059 predictive_accuracy 0.686275 predictive_accuracy 0.696078 predictive_accuracy 0.823529 predictive_accuracy 0.686275 predictive_accuracy 0.794118 predictive_accuracy 0.696078 predictive_accuracy 0.745098 predictive_accuracy 0.77451 predictive_accuracy 0.77451 predictive_accuracy 0.754902 predictive_accuracy 0.696078 predictive_accuracy 0.754902 predictive_accuracy 0.745098 predictive_accuracy 0.803922 predictive_accuracy 0.676471 predictive_accuracy 0.77451 predictive_accuracy 0.803922 predictive_accuracy 0.676471 predictive_accuracy 0.715686 predictive_accuracy 0.77451 predictive_accuracy 0.676471 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 recall 0.737864 [0.686275,0.788462] recall 0.669903 [0.607843,0.730769] recall 0.737864 [0.647059,0.826923] recall 0.737864 [0.647059,0.826923] recall 0.699029 [0.745098,0.653846] recall 0.805825 [0.784314,0.826923] recall 0.747573 [0.764706,0.730769] recall 0.747573 [0.843137,0.653846] recall 0.718447 [0.686275,0.75] recall 0.679612 [0.745098,0.615385] recall 0.786408 [0.745098,0.826923] recall 0.718447 [0.647059,0.788462] recall 0.786408 [0.764706,0.807692] recall 0.640777 [0.72549,0.557692] recall 0.747573 [0.745098,0.75] recall 0.669903 [0.686275,0.653846] recall 0.718447 [0.54902,0.884615] recall 0.76699 [0.666667,0.865385] recall 0.699029 [0.686275,0.711538] recall 0.76699 [0.803922,0.730769] recall 0.747573 [0.72549,0.769231] recall 0.747573 [0.686275,0.807692] recall 0.68932 [0.705882,0.673077] recall 0.815534 [0.784314,0.846154] recall 0.718447 [0.686275,0.75] recall 0.650485 [0.666667,0.634615] recall 0.699029 [0.647059,0.75] recall 0.776699 [0.784314,0.769231] recall 0.708738 [0.686275,0.730769] recall 0.76699 [0.823529,0.711538] recall 0.708738 [0.72549,0.692308] recall 0.660194 [0.647059,0.673077] recall 0.718447 [0.745098,0.692308] recall 0.796117 [0.803922,0.788462] recall 0.805825 [0.705882,0.903846] recall 0.737864 [0.745098,0.730769] recall 0.747573 [0.705882,0.788462] recall 0.68932 [0.686275,0.692308] recall 0.728155 [0.607843,0.846154] recall 0.805825 [0.784314,0.826923] recall 0.803922 [0.843137,0.764706] recall 0.715686 [0.627451,0.803922] recall 0.735294 [0.72549,0.745098] recall 0.72549 [0.74,0.711538] recall 0.735294 [0.72,0.75] recall 0.745098 [0.666667,0.823529] recall 0.745098 [0.7,0.788462] recall 0.705882 [0.72,0.692308] recall 0.764706 [0.823529,0.705882] recall 0.754902 [0.745098,0.764706] recall 0.745098 [0.764706,0.72549] recall 0.794118 [0.784314,0.803922] recall 0.666667 [0.647059,0.686275] recall 0.754902 [0.745098,0.764706] recall 0.745098 [0.745098,0.745098] recall 0.745098 [0.686275,0.803922] recall 0.745098 [0.72549,0.764706] recall 0.676471 [0.54902,0.803922] recall 0.754902 [0.764706,0.745098] recall 0.764706 [0.745098,0.784314] recall 0.735294 [0.72549,0.745098] recall 0.754902 [0.803922,0.705882] recall 0.745098 [0.705882,0.784314] recall 0.705882 [0.745098,0.666667] recall 0.764706 [0.823529,0.705882] recall 0.852941 [0.803922,0.901961] recall 0.686275 [0.784314,0.588235] recall 0.72549 [0.72549,0.72549] recall 0.764706 [0.764706,0.764706] recall 0.72549 [0.666667,0.784314] recall 0.754902 [0.666667,0.843137] recall 0.656863 [0.705882,0.607843] recall 0.803922 [0.862745,0.745098] recall 0.72549 [0.666667,0.784314] recall 0.745098 [0.666667,0.823529] recall 0.666667 [0.666667,0.666667] recall 0.813725 [0.803922,0.823529] recall 0.803922 [0.764706,0.843137] recall 0.647059 [0.490196,0.803922] recall 0.686275 [0.72549,0.647059] recall 0.696078 [0.745098,0.647059] recall 0.823529 [0.803922,0.843137] recall 0.686275 [0.72549,0.647059] recall 0.794118 [0.803922,0.784314] recall 0.696078 [0.803922,0.588235] recall 0.745098 [0.823529,0.666667] recall 0.77451 [0.784314,0.764706] recall 0.77451 [0.764706,0.784314] recall 0.754902 [0.784314,0.72549] recall 0.696078 [0.764706,0.627451] recall 0.754902 [0.76,0.75] recall 0.745098 [0.76,0.730769] recall 0.803922 [0.74,0.865385] recall 0.676471 [0.647059,0.705882] recall 0.77451 [0.784314,0.764706] recall 0.803922 [0.82,0.788462] recall 0.676471 [0.647059,0.705882] recall 0.715686 [0.72549,0.705882] recall 0.77451 [0.68,0.865385] recall 0.676471 [0.64,0.711538] relative_absolute_error 0.677817 relative_absolute_error 0.738651 relative_absolute_error 0.71708 relative_absolute_error 0.674137 relative_absolute_error 0.719789 relative_absolute_error 0.647811 relative_absolute_error 0.72577 relative_absolute_error 0.650204 relative_absolute_error 0.709647 relative_absolute_error 0.741363 relative_absolute_error 0.710421 relative_absolute_error 0.725855 relative_absolute_error 0.653895 relative_absolute_error 0.771874 relative_absolute_error 0.697528 relative_absolute_error 0.737527 relative_absolute_error 0.75547 relative_absolute_error 0.710661 relative_absolute_error 0.710215 relative_absolute_error 0.626166 relative_absolute_error 0.684062 relative_absolute_error 0.695691 relative_absolute_error 0.71439 relative_absolute_error 0.637261 relative_absolute_error 0.707757 relative_absolute_error 0.779924 relative_absolute_error 0.719435 relative_absolute_error 0.654939 relative_absolute_error 0.72514 relative_absolute_error 0.639476 relative_absolute_error 0.695902 relative_absolute_error 0.781351 relative_absolute_error 0.698492 relative_absolute_error 0.63857 relative_absolute_error 0.639659 relative_absolute_error 0.702199 relative_absolute_error 0.644529 relative_absolute_error 0.750736 relative_absolute_error 0.71749 relative_absolute_error 0.614357 relative_absolute_error 0.656736 relative_absolute_error 0.700711 relative_absolute_error 0.709448 relative_absolute_error 0.726351 relative_absolute_error 0.663192 relative_absolute_error 0.682252 relative_absolute_error 0.687039 relative_absolute_error 0.691996 relative_absolute_error 0.683993 relative_absolute_error 0.676601 relative_absolute_error 0.752738 relative_absolute_error 0.636615 relative_absolute_error 0.779893 relative_absolute_error 0.696189 relative_absolute_error 0.708791 relative_absolute_error 0.698452 relative_absolute_error 0.684194 relative_absolute_error 0.773923 relative_absolute_error 0.647728 relative_absolute_error 0.677912 relative_absolute_error 0.700056 relative_absolute_error 0.65351 relative_absolute_error 0.650396 relative_absolute_error 0.70798 relative_absolute_error 0.691667 relative_absolute_error 0.587891 relative_absolute_error 0.758292 relative_absolute_error 0.744107 relative_absolute_error 0.683337 relative_absolute_error 0.734096 relative_absolute_error 0.693271 relative_absolute_error 0.777209 relative_absolute_error 0.651071 relative_absolute_error 0.721441 relative_absolute_error 0.724925 relative_absolute_error 0.806804 relative_absolute_error 0.634877 relative_absolute_error 0.641253 relative_absolute_error 0.799861 relative_absolute_error 0.722886 relative_absolute_error 0.746614 relative_absolute_error 0.602806 relative_absolute_error 0.79173 relative_absolute_error 0.669577 relative_absolute_error 0.730763 relative_absolute_error 0.667579 relative_absolute_error 0.666826 relative_absolute_error 0.644075 relative_absolute_error 0.698724 relative_absolute_error 0.751248 relative_absolute_error 0.684207 relative_absolute_error 0.72276 relative_absolute_error 0.646017 relative_absolute_error 0.733438 relative_absolute_error 0.670836 relative_absolute_error 0.653629 relative_absolute_error 0.735774 relative_absolute_error 0.71391 relative_absolute_error 0.648342 relative_absolute_error 0.775953 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.499951 root_mean_prior_squared_error 0.499951 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.499951 root_mean_prior_squared_error 0.499951 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.499951 root_mean_prior_squared_error 0.499951 root_mean_prior_squared_error 0.499951 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.499951 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.499951 root_mean_prior_squared_error 0.499951 root_mean_squared_error 0.404261 root_mean_squared_error 0.460736 root_mean_squared_error 0.434662 root_mean_squared_error 0.429416 root_mean_squared_error 0.44512 root_mean_squared_error 0.377859 root_mean_squared_error 0.436248 root_mean_squared_error 0.406068 root_mean_squared_error 0.424505 root_mean_squared_error 0.45173 root_mean_squared_error 0.423751 root_mean_squared_error 0.437497 root_mean_squared_error 0.390469 root_mean_squared_error 0.474163 root_mean_squared_error 0.429394 root_mean_squared_error 0.458011 root_mean_squared_error 0.435912 root_mean_squared_error 0.424493 root_mean_squared_error 0.418685 root_mean_squared_error 0.380165 root_mean_squared_error 0.414467 root_mean_squared_error 0.423591 root_mean_squared_error 0.441246 root_mean_squared_error 0.380459 root_mean_squared_error 0.435056 root_mean_squared_error 0.475977 root_mean_squared_error 0.42115 root_mean_squared_error 0.401135 root_mean_squared_error 0.438501 root_mean_squared_error 0.391202 root_mean_squared_error 0.437063 root_mean_squared_error 0.47358 root_mean_squared_error 0.432973 root_mean_squared_error 0.386058 root_mean_squared_error 0.389538 root_mean_squared_error 0.433038 root_mean_squared_error 0.406122 root_mean_squared_error 0.452702 root_mean_squared_error 0.43042 root_mean_squared_error 0.362475 root_mean_squared_error 0.400222 root_mean_squared_error 0.426099 root_mean_squared_error 0.425151 root_mean_squared_error 0.445687 root_mean_squared_error 0.403387 root_mean_squared_error 0.411608 root_mean_squared_error 0.421481 root_mean_squared_error 0.428509 root_mean_squared_error 0.410187 root_mean_squared_error 0.403372 root_mean_squared_error 0.454348 root_mean_squared_error 0.387394 root_mean_squared_error 0.479361 root_mean_squared_error 0.418264 root_mean_squared_error 0.430527 root_mean_squared_error 0.415605 root_mean_squared_error 0.427145 root_mean_squared_error 0.442086 root_mean_squared_error 0.404635 root_mean_squared_error 0.419511 root_mean_squared_error 0.421129 root_mean_squared_error 0.404144 root_mean_squared_error 0.39195 root_mean_squared_error 0.430123 root_mean_squared_error 0.415099 root_mean_squared_error 0.350103 root_mean_squared_error 0.455856 root_mean_squared_error 0.444254 root_mean_squared_error 0.412369 root_mean_squared_error 0.440673 root_mean_squared_error 0.415746 root_mean_squared_error 0.470867 root_mean_squared_error 0.397703 root_mean_squared_error 0.434578 root_mean_squared_error 0.433472 root_mean_squared_error 0.488526 root_mean_squared_error 0.379024 root_mean_squared_error 0.399048 root_mean_squared_error 0.465218 root_mean_squared_error 0.445885 root_mean_squared_error 0.444596 root_mean_squared_error 0.366219 root_mean_squared_error 0.484035 root_mean_squared_error 0.403618 root_mean_squared_error 0.448726 root_mean_squared_error 0.411953 root_mean_squared_error 0.403045 root_mean_squared_error 0.406796 root_mean_squared_error 0.431439 root_mean_squared_error 0.456017 root_mean_squared_error 0.418558 root_mean_squared_error 0.427841 root_mean_squared_error 0.386394 root_mean_squared_error 0.445291 root_mean_squared_error 0.398925 root_mean_squared_error 0.396301 root_mean_squared_error 0.443133 root_mean_squared_error 0.440038 root_mean_squared_error 0.39872 root_mean_squared_error 0.466853 root_relative_squared_error 0.808554 root_relative_squared_error 0.92151 root_relative_squared_error 0.869359 root_relative_squared_error 0.858866 root_relative_squared_error 0.890275 root_relative_squared_error 0.755748 root_relative_squared_error 0.87253 root_relative_squared_error 0.812169 root_relative_squared_error 0.849043 root_relative_squared_error 0.903495 root_relative_squared_error 0.847536 root_relative_squared_error 0.875029 root_relative_squared_error 0.78097 root_relative_squared_error 0.948363 root_relative_squared_error 0.858822 root_relative_squared_error 0.916059 root_relative_squared_error 0.871858 root_relative_squared_error 0.84902 root_relative_squared_error 0.837403 root_relative_squared_error 0.760361 root_relative_squared_error 0.828966 root_relative_squared_error 0.847215 root_relative_squared_error 0.882527 root_relative_squared_error 0.760949 root_relative_squared_error 0.870146 root_relative_squared_error 0.951992 root_relative_squared_error 0.842334 root_relative_squared_error 0.802302 root_relative_squared_error 0.877037 root_relative_squared_error 0.782434 root_relative_squared_error 0.874161 root_relative_squared_error 0.947199 root_relative_squared_error 0.865979 root_relative_squared_error 0.772147 root_relative_squared_error 0.779106 root_relative_squared_error 0.86611 root_relative_squared_error 0.812277 root_relative_squared_error 0.905441 root_relative_squared_error 0.860874 root_relative_squared_error 0.724978 root_relative_squared_error 0.800431 root_relative_squared_error 0.852184 root_relative_squared_error 0.850288 root_relative_squared_error 0.891461 root_relative_squared_error 0.806852 root_relative_squared_error 0.823202 root_relative_squared_error 0.843044 root_relative_squared_error 0.857102 root_relative_squared_error 0.82036 root_relative_squared_error 0.80673 root_relative_squared_error 0.90868 root_relative_squared_error 0.774774 root_relative_squared_error 0.958705 root_relative_squared_error 0.836513 root_relative_squared_error 0.861039 root_relative_squared_error 0.831196 root_relative_squared_error 0.854275 root_relative_squared_error 0.884156 root_relative_squared_error 0.809255 root_relative_squared_error 0.839007 root_relative_squared_error 0.842243 root_relative_squared_error 0.808274 root_relative_squared_error 0.783887 root_relative_squared_error 0.860231 root_relative_squared_error 0.830185 root_relative_squared_error 0.700194 root_relative_squared_error 0.911697 root_relative_squared_error 0.888493 root_relative_squared_error 0.824725 root_relative_squared_error 0.881332 root_relative_squared_error 0.831477 root_relative_squared_error 0.941718 root_relative_squared_error 0.795391 root_relative_squared_error 0.869142 root_relative_squared_error 0.86693 root_relative_squared_error 0.977034 root_relative_squared_error 0.758035 root_relative_squared_error 0.798082 root_relative_squared_error 0.93042 root_relative_squared_error 0.891755 root_relative_squared_error 0.889177 root_relative_squared_error 0.732425 root_relative_squared_error 0.968053 root_relative_squared_error 0.807222 root_relative_squared_error 0.897436 root_relative_squared_error 0.823892 root_relative_squared_error 0.806076 root_relative_squared_error 0.813578 root_relative_squared_error 0.862864 root_relative_squared_error 0.912018 root_relative_squared_error 0.837197 root_relative_squared_error 0.855765 root_relative_squared_error 0.772864 root_relative_squared_error 0.890567 root_relative_squared_error 0.797836 root_relative_squared_error 0.792679 root_relative_squared_error 0.886251 root_relative_squared_error 0.880062 root_relative_squared_error 0.797518 root_relative_squared_error 0.933798 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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 170 usercpu_time_millis 170 usercpu_time_millis 160 usercpu_time_millis 170 usercpu_time_millis 180 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 170 usercpu_time_millis 160 usercpu_time_millis 170 usercpu_time_millis 160 usercpu_time_millis 170 usercpu_time_millis 170 usercpu_time_millis 200 usercpu_time_millis 150 usercpu_time_millis 150 usercpu_time_millis 160 usercpu_time_millis 220 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 170 usercpu_time_millis 190 usercpu_time_millis 210 usercpu_time_millis 190 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 170 usercpu_time_millis 200 usercpu_time_millis 160 usercpu_time_millis 170 usercpu_time_millis 180 usercpu_time_millis 180 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 170 usercpu_time_millis 180 usercpu_time_millis 150 usercpu_time_millis 160 usercpu_time_millis 190 usercpu_time_millis 200 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 180 usercpu_time_millis 180 usercpu_time_millis 170 usercpu_time_millis 170 usercpu_time_millis 150 usercpu_time_millis 160 usercpu_time_millis 190 usercpu_time_millis 170 usercpu_time_millis 160 usercpu_time_millis 180 usercpu_time_millis 170 usercpu_time_millis 170 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 150 usercpu_time_millis 190 usercpu_time_millis 190 usercpu_time_millis 170 usercpu_time_millis 160 usercpu_time_millis 170 usercpu_time_millis 210 usercpu_time_millis 170 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 150 usercpu_time_millis 150 usercpu_time_millis 150 usercpu_time_millis 170 usercpu_time_millis 200 usercpu_time_millis 150 usercpu_time_millis 160 usercpu_time_millis 180 usercpu_time_millis 180 usercpu_time_millis 220 usercpu_time_millis 180 usercpu_time_millis 160 usercpu_time_millis 150 usercpu_time_millis 160 usercpu_time_millis 170 usercpu_time_millis 170 usercpu_time_millis 150 usercpu_time_millis 160 usercpu_time_millis 150 usercpu_time_millis 190 usercpu_time_millis 160 usercpu_time_millis 150 usercpu_time_millis 150 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 200 usercpu_time_millis 170 usercpu_time_millis 170 usercpu_time_millis 160 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 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