467896 2 Joaquin Vanschoren 4218 Supervised Classification predictive_accuracy 1185 weka.Bagging_REPTree(8) 2032 weka.classifiers.meta.Bagging -- -P 100 -S 1 -num-slots 1 -I 10 -W weka.classifiers.trees.REPTree -- -M 2 -V 0.001 -N 3 -S 1 -L -1 -I 0.0 M 2 1077 V 0.001 1077 N 3 1077 S 1 1077 L -1 1077 I 0.0 1077 P 100 1185 S 1 1185 num-slots 1 1185 I 10 1185 W weka.classifiers.trees.REPTree 1185 weka weka_3.7.12 378 ipums_la_99-small https://www.openml.org/data/download/52418/ipums_la_99-small.arff -1 1645869 description https://api.openml.org/data/download/1645869/weka_generated_run8809137124869770496.xml -1 1645872 model_readable https://api.openml.org/data/download/1645872/WekaModel_weka.classifiers.meta.Bagging8737496505421753861.model -1 1645871 model_serialized https://api.openml.org/data/download/1645871/WekaSerialized_weka.classifiers.meta.Bagging6667730413925235087.model -1 1645870 predictions https://api.openml.org/data/download/1645870/weka_generated_predictions341683730252518232.arff area_under_roc_curve 0.57282 [0.574527,0.573356,0.548163,0.562526,0.561127,0.6038,0.645221] average_cost 0 f_measure 0.511902 [0.758235,0.06947,0.059595,0.035721,0.012532,0.01036,0] kappa 0.004358 kb_relative_information_score 4355.408223 mean_absolute_error 0.148366 mean_prior_absolute_error 0.155821 number_of_instances 88440 [58030,7100,9010,4030,5600,2700,1970] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.459979 [0.655849,0.129516,0.12558,0.079014,0.030942,0.02921,0] predictive_accuracy 0.599084 prior_entropy 1.759357 recall 0.599084 [0.898501,0.047465,0.039068,0.023077,0.007857,0.006296,0] relative_absolute_error 0.952154 root_mean_prior_squared_error 0.279062 root_mean_squared_error 0.293514 root_relative_squared_error 1.051788 scimark_benchmark 934.694996 [553.3758044122533, 1015.5230404536866, 478.28140966761225, 902.3889933967491, 1723.9057332468865] total_cost 0 usercpu_time_millis 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 0 area_under_roc_curve 0.583874 [0.588165,0.604985,0.509623,0.61392,0.590492,0.590844,0.630405] area_under_roc_curve 0.578124 [0.576855,0.579783,0.587268,0.615926,0.495153,0.604917,0.692324] area_under_roc_curve 0.590917 [0.59525,0.625809,0.541188,0.538935,0.570912,0.634594,0.665983] area_under_roc_curve 0.580653 [0.581614,0.55857,0.608548,0.557648,0.553539,0.547289,0.671243] area_under_roc_curve 0.57115 [0.575494,0.523203,0.576841,0.56324,0.503382,0.668113,0.66422] area_under_roc_curve 0.566302 [0.568558,0.550291,0.56195,0.636612,0.526603,0.536476,0.588006] area_under_roc_curve 0.558424 [0.561518,0.50706,0.56441,0.558802,0.510092,0.631119,0.660405] area_under_roc_curve 0.563238 [0.571032,0.519509,0.506534,0.601775,0.560594,0.610809,0.613324] area_under_roc_curve 0.572941 [0.581501,0.578217,0.5158,0.510947,0.536285,0.660882,0.670578] area_under_roc_curve 0.568393 [0.568148,0.57839,0.533075,0.570873,0.584245,0.610226,0.593121] area_under_roc_curve 0.558981 [0.567983,0.568675,0.51304,0.521717,0.486397,0.62337,0.667923] area_under_roc_curve 0.602696 [0.610444,0.556745,0.619797,0.583545,0.590643,0.576103,0.571107] area_under_roc_curve 0.549142 [0.539762,0.515382,0.562858,0.544388,0.594165,0.678063,0.591498] area_under_roc_curve 0.582475 [0.593798,0.569774,0.545653,0.530607,0.565171,0.62514,0.558931] area_under_roc_curve 0.589067 [0.592683,0.654644,0.528952,0.563817,0.510232,0.666364,0.688642] area_under_roc_curve 0.582598 [0.574854,0.564202,0.616639,0.627914,0.562575,0.627234,0.624855] area_under_roc_curve 0.569184 [0.562593,0.603627,0.591817,0.522456,0.572452,0.582492,0.602861] area_under_roc_curve 0.563718 [0.560643,0.548162,0.534158,0.639926,0.618506,0.519965,0.594538] area_under_roc_curve 0.560459 [0.560569,0.607926,0.55007,0.465178,0.504556,0.669257,0.635694] area_under_roc_curve 0.578688 [0.572779,0.628603,0.532495,0.596686,0.61214,0.628486,0.584133] area_under_roc_curve 0.571901 [0.565866,0.574878,0.558805,0.561785,0.601941,0.619809,0.672572] area_under_roc_curve 0.585687 [0.598449,0.556606,0.554046,0.590683,0.564503,0.49536,0.63398] area_under_roc_curve 0.588522 [0.60517,0.552064,0.54457,0.570801,0.521745,0.616809,0.618755] area_under_roc_curve 0.555938 [0.554157,0.505347,0.571796,0.594083,0.550857,0.582902,0.617428] area_under_roc_curve 0.582993 [0.587369,0.609233,0.539581,0.633388,0.539753,0.568333,0.59815] area_under_roc_curve 0.575778 [0.584796,0.577136,0.564668,0.53179,0.518945,0.591643,0.584682] area_under_roc_curve 0.572023 [0.578013,0.604829,0.523208,0.612145,0.539107,0.537274,0.560029] area_under_roc_curve 0.576559 [0.580708,0.597008,0.55037,0.535547,0.520334,0.673854,0.609393] area_under_roc_curve 0.56702 [0.563511,0.623369,0.533061,0.582885,0.580045,0.528037,0.606185] area_under_roc_curve 0.597682 [0.602976,0.575397,0.581426,0.563432,0.518266,0.704135,0.743324] area_under_roc_curve 0.579422 [0.583708,0.599941,0.549091,0.554271,0.553744,0.596758,0.622493] area_under_roc_curve 0.555173 [0.547024,0.532573,0.512442,0.590192,0.548262,0.736726,0.770376] area_under_roc_curve 0.579935 [0.584098,0.597657,0.552066,0.532424,0.568639,0.584067,0.650024] area_under_roc_curve 0.569556 [0.56137,0.582275,0.525472,0.599675,0.588392,0.700898,0.670289] area_under_roc_curve 0.567572 [0.564607,0.615886,0.524905,0.577204,0.581014,0.539109,0.657688] area_under_roc_curve 0.580084 [0.577063,0.570699,0.575816,0.607249,0.546334,0.641997,0.677023] area_under_roc_curve 0.576186 [0.576803,0.601905,0.555346,0.504378,0.578559,0.602262,0.671934] area_under_roc_curve 0.570087 [0.569703,0.614086,0.561076,0.465047,0.582985,0.56747,0.648324] area_under_roc_curve 0.564405 [0.57078,0.502509,0.550931,0.539201,0.571741,0.61927,0.616358] area_under_roc_curve 0.567648 [0.580201,0.607978,0.49836,0.477441,0.512321,0.561577,0.719249] area_under_roc_curve 0.575412 [0.581236,0.53852,0.530661,0.537974,0.629723,0.626799,0.592303] area_under_roc_curve 0.592124 [0.591961,0.627696,0.558256,0.625178,0.540157,0.653529,0.619502] area_under_roc_curve 0.563953 [0.581383,0.533349,0.507123,0.525489,0.51693,0.579995,0.60978] area_under_roc_curve 0.566942 [0.569082,0.590363,0.529982,0.493866,0.586062,0.607632,0.632674] area_under_roc_curve 0.562866 [0.570318,0.577534,0.530975,0.49634,0.544751,0.599421,0.576635] area_under_roc_curve 0.57575 [0.577303,0.557248,0.55112,0.507494,0.565509,0.663793,0.766535] area_under_roc_curve 0.578429 [0.591691,0.498527,0.543738,0.564129,0.565239,0.576775,0.708549] area_under_roc_curve 0.562606 [0.563192,0.586647,0.522446,0.555869,0.552385,0.58235,0.661728] area_under_roc_curve 0.564917 [0.557761,0.567434,0.528086,0.625539,0.560872,0.668158,0.682811] area_under_roc_curve 0.565462 [0.567967,0.577612,0.545242,0.541822,0.551361,0.557198,0.643687] area_under_roc_curve 0.578203 [0.582268,0.637016,0.529093,0.565447,0.554359,0.512209,0.653877] area_under_roc_curve 0.559242 [0.55716,0.562895,0.543402,0.485486,0.585285,0.63367,0.652054] area_under_roc_curve 0.590481 [0.593917,0.540001,0.573783,0.663566,0.550595,0.608993,0.685706] area_under_roc_curve 0.584249 [0.587687,0.6234,0.541114,0.536571,0.576917,0.586953,0.657956] area_under_roc_curve 0.571601 [0.567556,0.631577,0.494927,0.559977,0.605719,0.630191,0.675388] area_under_roc_curve 0.548809 [0.547618,0.573887,0.544186,0.536933,0.537979,0.504711,0.633587] area_under_roc_curve 0.560294 [0.567962,0.532327,0.469228,0.577149,0.582352,0.627058,0.665835] area_under_roc_curve 0.586372 [0.584412,0.611585,0.593808,0.601395,0.511549,0.599723,0.685914] area_under_roc_curve 0.5829 [0.585328,0.630399,0.550007,0.547826,0.564193,0.579995,0.622057] area_under_roc_curve 0.572664 [0.574855,0.483932,0.608186,0.586552,0.539273,0.629025,0.657438] area_under_roc_curve 0.558788 [0.557367,0.499212,0.56025,0.528673,0.601589,0.59981,0.689902] area_under_roc_curve 0.557643 [0.552708,0.61686,0.561258,0.548608,0.531228,0.552876,0.572743] area_under_roc_curve 0.567706 [0.563305,0.57018,0.56659,0.569935,0.590213,0.547128,0.651852] area_under_roc_curve 0.552316 [0.551279,0.569167,0.469871,0.577771,0.561831,0.666883,0.665744] area_under_roc_curve 0.598509 [0.603054,0.59873,0.585922,0.534025,0.599972,0.681058,0.536082] area_under_roc_curve 0.558191 [0.559505,0.5358,0.505521,0.604404,0.565864,0.637906,0.615607] area_under_roc_curve 0.571584 [0.568322,0.597621,0.580444,0.546697,0.502739,0.63931,0.684983] area_under_roc_curve 0.569814 [0.57523,0.618679,0.511044,0.549704,0.515571,0.619971,0.634317] area_under_roc_curve 0.591219 [0.600527,0.521491,0.582305,0.560238,0.580044,0.584165,0.719653] area_under_roc_curve 0.580437 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area_under_roc_curve 0.556769 [0.558536,0.533713,0.552407,0.561197,0.568571,0.580924,0.532523] area_under_roc_curve 0.585098 [0.575584,0.626102,0.562434,0.625193,0.572561,0.689939,0.630816] area_under_roc_curve 0.566432 [0.562517,0.612858,0.574251,0.533753,0.503106,0.657699,0.59945] area_under_roc_curve 0.564229 [0.56231,0.551695,0.558396,0.562559,0.574189,0.556982,0.675839] area_under_roc_curve 0.570893 [0.572116,0.542383,0.5719,0.556842,0.544794,0.545205,0.767969] area_under_roc_curve 0.585064 [0.58716,0.629758,0.51596,0.559168,0.596435,0.539349,0.758247] area_under_roc_curve 0.576872 [0.571651,0.590103,0.572803,0.578273,0.567126,0.601042,0.691464] area_under_roc_curve 0.558627 [0.55393,0.542877,0.535985,0.600874,0.571957,0.603138,0.670718] area_under_roc_curve 0.577681 [0.58771,0.570691,0.521306,0.509079,0.579527,0.594602,0.674537] area_under_roc_curve 0.561571 [0.563473,0.553523,0.540253,0.534034,0.557378,0.609296,0.633304] area_under_roc_curve 0.555167 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0.530015 [0.764835,0.1,0.129032,0.071429,0.028571,0.0625,0] f_measure 0.510657 [0.759971,0.084211,0.034483,0,0.027778,0,0] f_measure 0.515787 [0.766906,0.065217,0.034783,0,0.029412,0.064516,0] f_measure 0.504792 [0.758671,0,0.068966,0,0,0,0] f_measure 0.505054 [0.752374,0.07767,0.050847,0,0,0,0] f_measure 0.506042 [0.755814,0.04,0.049587,0.041667,0,0,0] f_measure 0.512182 [0.764239,0.043011,0.017391,0.039216,0.029412,0.060606,0] f_measure 0.520653 [0.764322,0.085106,0.066116,0.037736,0.030769,0.0625,0] f_measure 0.507153 [0.759366,0.019048,0.054054,0.040816,0,0,0] f_measure 0.514921 [0.755265,0.044444,0.13913,0,0,0.054054,0] f_measure 0.512985 [0.75656,0.081633,0.097561,0,0,0,0] f_measure 0.519766 [0.764749,0.064516,0.125984,0,0,0,0] f_measure 0.510104 [0.766885,0.02,0.034783,0,0,0.058824,0] f_measure 0.51502 [0.763139,0.06383,0.071429,0,0.030303,0,0] f_measure 0.51656 [0.768126,0.064516,0.072727,0,0,0,0] f_measure 0.507869 [0.753095,0.061856,0.051724,0.04,0.027027,0,0] f_measure 0.511272 [0.757818,0.040816,0.070796,0.041667,0.026667,0,0] f_measure 0.516728 [0.758065,0.0625,0.124031,0.037736,0,0,0] f_measure 0.508908 [0.757818,0.079208,0.017544,0.078431,0,0,0] f_measure 0.508249 [0.749632,0.118812,0.032258,0.040816,0.027397,0,0] f_measure 0.515008 [0.76087,0.085106,0.036697,0.08,0.025316,0,0] f_measure 0.50696 [0.751276,0.02,0.070175,0.076923,0.028571,0,0] f_measure 0.504664 [0.753835,0.042105,0.047619,0,0.028986,0,0] f_measure 0.509177 [0.759567,0.041667,0.073394,0,0,0,0] f_measure 0.515602 [0.753666,0.156863,0.05,0.035714,0.028571,0,0] f_measure 0.497 [0.74177,0.084211,0.016393,0.041667,0,0,0] f_measure 0.52309 [0.759382,0.104167,0.1,0.103448,0.025641,0,0] f_measure 0.504143 [0.752735,0.0625,0.015873,0.040816,0.028169,0,0] f_measure 0.507231 [0.749634,0.084211,0.053571,0.036364,0.024096,0,0] f_measure 0.511909 [0.762319,0.022472,0.050847,0.105263,0,0,0] f_measure 0.516867 [0.755848,0.152381,0.05,0.08,0,0,0] f_measure 0.522316 [0.765864,0.086957,0.096,0.067797,0,0,0] f_measure 0.507923 [0.756364,0.080808,0.018519,0.072727,0,0,0] f_measure 0.504673 [0.753623,0.041237,0.067797,0,0,0,0] f_measure 0.505237 [0.759219,0.043956,0,0.038462,0.028986,0,0] f_measure 0.507218 [0.750737,0.079208,0.048387,0.037037,0.026667,0,0] f_measure 0.508629 [0.751639,0.040404,0.104348,0,0.025316,0,0] f_measure 0.516403 [0.762872,0.02,0.086957,0.08,0,0.058824,0] f_measure 0.516493 [0.761281,0.104167,0.047619,0.040816,0.030769,0,0] f_measure 0.517706 [0.763292,0.081633,0.083333,0,0.029412,0,0] f_measure 0.499117 [0.747636,0.039604,0.053097,0,0,0,0] f_measure 0.510993 [0.756401,0.076923,0.052632,0.070175,0,0,0] f_measure 0.504786 [0.751836,0.061856,0.031746,0.037037,0.025641,0,0] kappa 0.024253 kappa 0.0116 kappa 0.038554 kappa -0.007924 kappa -0.026161 kappa -0.013164 kappa 0.029052 kappa -0.011175 kappa -0.007748 kappa 0.007543 kappa 0.002531 kappa 0.026797 kappa -0.010332 kappa -0.004763 kappa 0.003331 kappa 0.004335 kappa 0.030524 kappa -0.025823 kappa 0.004971 kappa -0.005598 kappa -0.003042 kappa 0.005523 kappa 0.008217 kappa -0.018749 kappa 0.010187 kappa 0.014417 kappa -0.032239 kappa -0.008926 kappa 0.025197 kappa 0.028807 kappa 0.002976 kappa -0.011842 kappa 0.006826 kappa -0.000044 kappa 0.011309 kappa 0.004196 kappa 0.014514 kappa 0.016686 kappa 0.011918 kappa 0.006683 kappa 0.00389 kappa 0.002726 kappa 0.035809 kappa -0.001579 kappa -0.008508 kappa -0.011015 kappa 0.022808 kappa -0.000252 kappa -0.004139 kappa 0.006416 kappa 0.006732 kappa 0.006738 kappa 0.020491 kappa 0.06223 kappa -0.015831 kappa -0.008816 kappa 0.004243 kappa 0.045341 kappa 0.001328 kappa 0.008662 kappa -0.012509 kappa -0.007744 kappa -0.008451 kappa 0.002173 kappa 0.020881 kappa -0.011475 kappa 0.005352 kappa 0.006663 kappa 0.024357 kappa 0.007353 kappa 0.004851 kappa 0.00953 kappa -0.00544 kappa 0.002806 kappa 0.01946 kappa -0.000929 kappa 0.002075 kappa 0.009045 kappa -0.007221 kappa -0.00796 kappa -0.004552 kappa 0.01437 kappa -0.029514 kappa 0.033754 kappa -0.011854 kappa -0.004237 kappa 0.005905 kappa 0.015798 kappa 0.030852 kappa -0.001571 kappa -0.015121 kappa -0.011106 kappa 0.002374 kappa -0.005899 kappa 0.012629 kappa 0.014352 kappa 0.019518 kappa -0.025855 kappa 0.007299 kappa -0.005453 kb_relative_information_score 60.510126 kb_relative_information_score 42.338579 kb_relative_information_score 50.609972 kb_relative_information_score 42.616011 kb_relative_information_score 37.204186 kb_relative_information_score 23.777613 kb_relative_information_score 37.493307 kb_relative_information_score 29.154622 kb_relative_information_score 40.676516 kb_relative_information_score 42.418308 kb_relative_information_score 39.13428 kb_relative_information_score 58.270158 kb_relative_information_score 28.750737 kb_relative_information_score 26.818502 kb_relative_information_score 49.563754 kb_relative_information_score 49.990604 kb_relative_information_score 49.101413 kb_relative_information_score 43.795097 kb_relative_information_score 43.09664 kb_relative_information_score 41.365702 kb_relative_information_score 43.469728 kb_relative_information_score 47.727191 kb_relative_information_score 49.777271 kb_relative_information_score 36.949521 kb_relative_information_score 44.07257 kb_relative_information_score 42.237264 kb_relative_information_score 28.979602 kb_relative_information_score 43.530147 kb_relative_information_score 51.865893 kb_relative_information_score 57.456764 kb_relative_information_score 52.580243 kb_relative_information_score 31.782935 kb_relative_information_score 51.073543 kb_relative_information_score 41.618944 kb_relative_information_score 51.974477 kb_relative_information_score 63.426087 kb_relative_information_score 54.015604 kb_relative_information_score 46.269583 kb_relative_information_score 44.581811 kb_relative_information_score 46.934281 kb_relative_information_score 36.059645 kb_relative_information_score 51.107113 kb_relative_information_score 38.820043 kb_relative_information_score 38.744234 kb_relative_information_score 38.304199 kb_relative_information_score 37.326064 kb_relative_information_score 41.861196 kb_relative_information_score 29.086267 kb_relative_information_score 42.857603 kb_relative_information_score 41.013658 kb_relative_information_score 37.841213 kb_relative_information_score 40.34434 kb_relative_information_score 60.645371 kb_relative_information_score 63.029539 kb_relative_information_score 47.56294 kb_relative_information_score 34.437529 kb_relative_information_score 40.55489 kb_relative_information_score 55.264803 kb_relative_information_score 39.471274 kb_relative_information_score 56.653471 kb_relative_information_score 30.268666 kb_relative_information_score 30.777531 kb_relative_information_score 39.150551 kb_relative_information_score 50.155624 kb_relative_information_score 59.774388 kb_relative_information_score 40.688829 kb_relative_information_score 50.458164 kb_relative_information_score 41.618904 kb_relative_information_score 45.413567 kb_relative_information_score 49.801046 kb_relative_information_score 50.089353 kb_relative_information_score 50.024533 kb_relative_information_score 50.813797 kb_relative_information_score 51.654805 kb_relative_information_score 41.69525 kb_relative_information_score 43.099253 kb_relative_information_score 35.402254 kb_relative_information_score 55.331483 kb_relative_information_score 30.496296 kb_relative_information_score 27.083495 kb_relative_information_score 42.094206 kb_relative_information_score 52.390297 kb_relative_information_score 43.691257 kb_relative_information_score 40.639513 kb_relative_information_score 33.129444 kb_relative_information_score 36.368667 kb_relative_information_score 43.137027 kb_relative_information_score 42.034688 kb_relative_information_score 46.626191 kb_relative_information_score 38.82163 kb_relative_information_score 31.73474 kb_relative_information_score 36.352809 kb_relative_information_score 30.845616 kb_relative_information_score 43.375677 kb_relative_information_score 40.35347 kb_relative_information_score 53.781373 kb_relative_information_score 51.422643 kb_relative_information_score 35.836067 kb_relative_information_score 60.975007 kb_relative_information_score 40.005137 mean_absolute_error 0.146362 mean_absolute_error 0.148885 mean_absolute_error 0.147258 mean_absolute_error 0.148543 mean_absolute_error 0.149621 mean_absolute_error 0.150988 mean_absolute_error 0.149931 mean_absolute_error 0.150643 mean_absolute_error 0.148508 mean_absolute_error 0.148715 mean_absolute_error 0.149399 mean_absolute_error 0.14559 mean_absolute_error 0.150681 mean_absolute_error 0.149605 mean_absolute_error 0.147524 mean_absolute_error 0.147617 mean_absolute_error 0.147409 mean_absolute_error 0.148376 mean_absolute_error 0.147997 mean_absolute_error 0.149383 mean_absolute_error 0.147966 mean_absolute_error 0.147188 mean_absolute_error 0.147595 mean_absolute_error 0.148668 mean_absolute_error 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mean_absolute_error 0.146701 mean_absolute_error 0.14953 mean_absolute_error 0.150331 mean_absolute_error 0.149509 mean_absolute_error 0.148376 mean_absolute_error 0.145311 mean_absolute_error 0.148354 mean_absolute_error 0.147188 mean_absolute_error 0.148668 mean_absolute_error 0.147309 mean_absolute_error 0.148094 mean_absolute_error 0.146491 mean_absolute_error 0.146968 mean_absolute_error 0.14751 mean_absolute_error 0.146109 mean_absolute_error 0.149031 mean_absolute_error 0.148358 mean_absolute_error 0.150472 mean_absolute_error 0.14501 mean_absolute_error 0.150866 mean_absolute_error 0.151618 mean_absolute_error 0.149054 mean_absolute_error 0.147216 mean_absolute_error 0.147561 mean_absolute_error 0.149777 mean_absolute_error 0.149075 mean_absolute_error 0.150103 mean_absolute_error 0.14887 mean_absolute_error 0.149907 mean_absolute_error 0.14909 mean_absolute_error 0.148766 mean_absolute_error 0.15048 mean_absolute_error 0.148237 mean_absolute_error 0.150432 mean_absolute_error 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number_of_instances 885 [581,71,90,40,56,27,20] number_of_instances 885 [581,71,90,40,56,27,20] number_of_instances 885 [581,71,90,40,56,27,20] number_of_instances 885 [581,71,90,40,56,27,20] number_of_instances 885 [580,71,91,41,56,27,19] number_of_instances 885 [580,71,91,40,56,27,20] number_of_instances 885 [580,71,91,41,56,27,19] number_of_instances 885 [581,71,90,40,56,27,20] number_of_instances 885 [580,71,91,40,56,27,20] number_of_instances 885 [580,71,91,40,56,27,20] number_of_instances 885 [580,71,91,41,56,27,19] number_of_instances 885 [580,71,90,41,56,27,20] number_of_instances 885 [580,71,91,40,56,27,20] number_of_instances 885 [580,71,91,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,41,56,27,19] number_of_instances 884 [580,71,90,41,56,27,19] number_of_instances 884 [580,71,90,41,56,27,19] number_of_instances 884 [580,71,90,41,56,27,19] number_of_instances 884 [580,71,90,41,56,27,19] number_of_instances 884 [580,71,90,41,56,27,19] number_of_instances 884 [580,71,90,41,56,27,19] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,41,56,27,19] number_of_instances 884 [580,71,90,41,56,27,19] number_of_instances 884 [580,71,90,41,56,27,19] number_of_instances 884 [580,71,90,41,56,27,19] number_of_instances 884 [580,71,90,41,56,27,19] number_of_instances 884 [580,71,90,41,56,27,19] number_of_instances 884 [580,71,90,41,56,27,19] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,41,56,27,19] number_of_instances 884 [580,71,90,41,56,27,19] number_of_instances 884 [580,71,90,41,56,27,19] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,91,40,56,27,19] number_of_instances 884 [580,71,90,41,56,27,19] number_of_instances 884 [580,71,90,41,56,27,19] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] precision 0.471581 [0.663354,0.136364,0.137931,0.111111,0,0.2,0] precision 0.46038 [0.659466,0.129032,0.111111,0.125,0,0,0] precision 0.48626 [0.665826,0.206897,0.173913,0.058824,0,0.4,0] precision 0.443685 [0.654229,0.041667,0.083333,0.066667,0,0,0] precision 0.441488 [0.647282,0.166667,0.03125,0,0,0,0] precision 0.448858 [0.65283,0.071429,0.068966,0.166667,0,0,0] precision 0.479501 [0.660691,0.068966,0.266667,0.15,0.1,0,0] precision 0.445515 [0.654384,0.076923,0.030303,0,0.105263,0,0] precision 0.447013 [0.654956,0,0.133333,0.076923,0,0,0] precision 0.459648 [0.656171,0.181818,0.103448,0.083333,0,0,0] precision 0.458192 [0.65645,0.071429,0.121951,0.111111,0.0625,0,0] precision 0.48233 [0.662078,0.066667,0.277778,0.230769,0,0.111111,0] precision 0.451852 [0.650873,0.125,0.142857,0,0,0,0] precision 0.448774 [0.655738,0.096774,0.103448,0,0,0,0] precision 0.466225 [0.654182,0.176471,0.222222,0,0,0,0] precision 0.461703 [0.655779,0.1,0.138889,0.2,0,0,0] precision 0.474879 [0.662879,0.24,0.171429,0.066667,0,0,0] precision 0.439687 [0.64831,0.090909,0.066667,0,0,0,0] precision 0.462834 [0.657143,0.076923,0.095238,0.166667,0.066667,0.125,0] precision 0.453761 [0.653453,0.148148,0.030303,0.076923,0.1,0,0] precision 0.454323 [0.655346,0.105263,0.153846,0,0,0,0] precision 0.462203 [0.654956,0.137931,0.166667,0.090909,0,0,0] precision 0.467307 [0.655738,0.090909,0.185185,0.230769,0,0,0] precision 0.439794 [0.65099,0.111111,0.034483,0,0,0,0] precision 0.466666 [0.657035,0.185185,0.064516,0.2,0.076923,0,0] precision 0.456699 [0.662095,0.111111,0.129032,0,0,0,0] precision 0.42957 [0.64981,0.037037,0,0,0,0,0] precision 0.455633 [0.651629,0.105263,0.142857,0,0.076923,0,0] precision 0.478175 [0.659574,0.25,0.148148,0.066667,0.111111,0,0] precision 0.474673 [0.665012,0.074074,0.227273,0.2,0,0,0] precision 0.457431 [0.655597,0.166667,0.08,0.133333,0,0,0] precision 0.447047 [0.649936,0.142857,0.09375,0,0,0,0] precision 0.460359 [0.653798,0.214286,0.142857,0,0,0,0] precision 0.454975 [0.654867,0.038462,0.166667,0.111111,0,0,0] precision 0.470462 [0.655431,0.086957,0.227273,0.058824,0.125,0,0] precision 0.469141 [0.64981,0.2,0.166667,0.083333,0.1,0,0] precision 0.459488 [0.659574,0.15625,0.142857,0,0,0,0] precision 0.477437 [0.656827,0.076923,0.3,0.222222,0,0,0] precision 0.471567 [0.654747,0.166667,0.25,0,0,0.111111,0] precision 0.453192 [0.659148,0.166667,0.032258,0,0.071429,0,0] precision 0.460953 [0.655128,0.121212,0.088235,0.105263,0,0.25,0] precision 0.461995 [0.651399,0.175,0.083333,0.166667,0.071429,0,0] precision 0.474145 [0.67044,0.125,0.137931,0,0,0.333333,0] precision 0.457231 [0.654182,0.117647,0.137931,0,0.071429,0,0] precision 0.450536 [0.652284,0.09375,0.086957,0.133333,0,0,0] precision 0.458519 [0.649015,0.105263,0.238095,0,0,0,0] precision 0.465736 [0.663304,0.153846,0.178571,0,0,0,0] precision 0.447799 [0.657795,0.166667,0.027778,0,0,0,0] precision 0.451986 [0.653846,0.086957,0.130435,0.058824,0,0,0] precision 0.46208 [0.65526,0.208333,0.151515,0,0,0,0] precision 0.4568 [0.656774,0.194444,0.066667,0.076923,0,0,0] precision 0.460681 [0.657431,0.096774,0.115385,0.076923,0.1,0,0] precision 0.474532 [0.65869,0.1875,0.12,0.333333,0,0,0] precision 0.496003 [0.67,0.333333,0.15,0.2,0,0.166667,0] precision 0.449193 [0.649189,0.125,0.095238,0,0.055556,0,0] precision 0.456316 [0.650694,0.263158,0.081081,0,0,0,0] precision 0.465959 [0.654777,0.133333,0.096774,0.1,0.055556,0.25,0] precision 0.490912 [0.664968,0.172414,0.235294,0.133333,0.071429,0.2,0] precision 0.455466 [0.65582,0.166667,0.076923,0,0.0625,0,0] precision 0.464269 [0.658025,0.142857,0.08,0,0.083333,0.25,0] precision 0.444092 [0.652985,0,0.153846,0,0,0,0] precision 0.449206 [0.652725,0.125,0.107143,0,0,0,0] precision 0.449661 [0.653266,0.068966,0.096774,0.125,0,0,0] precision 0.457283 [0.656753,0.090909,0.04,0.1,0.083333,0.166667,0] precision 0.47687 [0.659574,0.173913,0.129032,0.083333,0.111111,0.2,0] precision 0.450636 [0.652228,0.029412,0.142857,0.125,0,0,0] precision 0.472164 [0.652447,0.105263,0.32,0,0,0.1,0] precision 0.46115 [0.655303,0.148148,0.1875,0,0,0,0] precision 0.467337 [0.662043,0.136364,0.216216,0,0,0,0] precision 0.449939 [0.662484,0.034483,0.08,0,0,0.142857,0] precision 0.465158 [0.65513,0.130435,0.181818,0,0.1,0,0] precision 0.463071 [0.658057,0.136364,0.2,0,0,0,0] precision 0.456812 [0.651955,0.115385,0.115385,0.1,0.055556,0,0] precision 0.462624 [0.655346,0.074074,0.173913,0.125,0.052632,0,0] precision 0.466666 [0.659439,0.12,0.205128,0.076923,0,0,0] precision 0.453156 [0.655346,0.133333,0.041667,0.181818,0,0,0] precision 0.46006 [0.654242,0.2,0.058824,0.111111,0.058824,0,0] precision 0.46706 [0.65625,0.173913,0.105263,0.2,0.043478,0,0] precision 0.45898 [0.651075,0.034483,0.166667,0.166667,0.071429,0,0] precision 0.44914 [0.653992,0.083333,0.083333,0,0.076923,0,0] precision 0.456571 [0.653416,0.08,0.210526,0,0,0,0] precision 0.468414 [0.655612,0.258065,0.1,0.0625,0.071429,0,0] precision 0.444901 [0.644219,0.166667,0.03125,0.125,0,0,0] precision 0.481445 [0.662388,0.2,0.2,0.166667,0.045455,0,0] precision 0.449722 [0.652339,0.12,0.027778,0.111111,0.066667,0,0] precision 0.460021 [0.651399,0.166667,0.136364,0.066667,0.037037,0,0] precision 0.454747 [0.6575,0.055556,0.107143,0.176471,0,0,0] precision 0.468596 [0.656091,0.235294,0.1,0.2,0,0,0] precision 0.472985 [0.663717,0.190476,0.171429,0.105263,0,0,0] precision 0.452316 [0.654088,0.142857,0.055556,0.133333,0,0,0] precision 0.447193 [0.65,0.076923,0.142857,0,0,0,0] precision 0.445638 [0.653798,0.1,0,0.083333,0.076923,0,0] precision 0.456618 [0.655928,0.133333,0.088235,0.071429,0.052632,0,0] precision 0.459851 [0.650694,0.071429,0.24,0,0.043478,0,0] precision 0.468476 [0.658323,0.034483,0.2,0.2,0,0.142857,0] precision 0.468786 [0.65869,0.2,0.083333,0.111111,0.111111,0,0] precision 0.467691 [0.660782,0.148148,0.166667,0,0.083333,0,0] precision 0.442835 [0.646541,0.066667,0.130435,0,0,0,0] precision 0.458799 [0.656925,0.121212,0.125,0.117647,0,0,0] precision 0.45061 [0.654731,0.115385,0.055556,0.071429,0.045455,0,0] predictive_accuracy 0.613559 predictive_accuracy 0.59661 predictive_accuracy 0.611299 predictive_accuracy 0.59887 predictive_accuracy 0.584181 predictive_accuracy 0.59209 predictive_accuracy 0.6 predictive_accuracy 0.587571 predictive_accuracy 0.59548 predictive_accuracy 0.6 predictive_accuracy 0.59096 predictive_accuracy 0.610169 predictive_accuracy 0.59774 predictive_accuracy 0.59435 predictive_accuracy 0.60226 predictive_accuracy 0.6 predictive_accuracy 0.60791 predictive_accuracy 0.589831 predictive_accuracy 0.60565 predictive_accuracy 0.586441 predictive_accuracy 0.59548 predictive_accuracy 0.60113 predictive_accuracy 0.59887 predictive_accuracy 0.59887 predictive_accuracy 0.60226 predictive_accuracy 0.60791 predictive_accuracy 0.581921 predictive_accuracy 0.59548 predictive_accuracy 0.610169 predictive_accuracy 0.615819 predictive_accuracy 0.60904 predictive_accuracy 0.579661 predictive_accuracy 0.60452 predictive_accuracy 0.59435 predictive_accuracy 0.60452 predictive_accuracy 0.59548 predictive_accuracy 0.60452 predictive_accuracy 0.614689 predictive_accuracy 0.611299 predictive_accuracy 0.60113 predictive_accuracy 0.589367 predictive_accuracy 0.59276 predictive_accuracy 0.611991 predictive_accuracy 0.600679 predictive_accuracy 0.589367 predictive_accuracy 0.604072 predictive_accuracy 0.605204 predictive_accuracy 0.593891 predictive_accuracy 0.602941 predictive_accuracy 0.596154 predictive_accuracy 0.587104 predictive_accuracy 0.599548 predictive_accuracy 0.605204 predictive_accuracy 0.625566 predictive_accuracy 0.595023 predictive_accuracy 0.59276 predictive_accuracy 0.59276 predictive_accuracy 0.609729 predictive_accuracy 0.600679 predictive_accuracy 0.61086 predictive_accuracy 0.598416 predictive_accuracy 0.590498 predictive_accuracy 0.595023 predictive_accuracy 0.606335 predictive_accuracy 0.608597 predictive_accuracy 0.60181 predictive_accuracy 0.600679 predictive_accuracy 0.598416 predictive_accuracy 0.606335 predictive_accuracy 0.60181 predictive_accuracy 0.608597 predictive_accuracy 0.613122 predictive_accuracy 0.593891 predictive_accuracy 0.598416 predictive_accuracy 0.598416 predictive_accuracy 0.597285 predictive_accuracy 0.587104 predictive_accuracy 0.604072 predictive_accuracy 0.591629 predictive_accuracy 0.590498 predictive_accuracy 0.60181 predictive_accuracy 0.596154 predictive_accuracy 0.580317 predictive_accuracy 0.600679 predictive_accuracy 0.590498 predictive_accuracy 0.589367 predictive_accuracy 0.602941 predictive_accuracy 0.599548 predictive_accuracy 0.607466 predictive_accuracy 0.596154 predictive_accuracy 0.595023 predictive_accuracy 0.598416 predictive_accuracy 0.585973 predictive_accuracy 0.593891 predictive_accuracy 0.605204 predictive_accuracy 0.602941 predictive_accuracy 0.604072 predictive_accuracy 0.587104 predictive_accuracy 0.595023 predictive_accuracy 0.587104 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 recall 0.613559 [0.919105,0.042254,0.044444,0.025,0,0.037037,0] recall 0.59661 [0.893287,0.056338,0.033333,0.04878,0,0,0] recall 0.611299 [0.908778,0.084507,0.044444,0.025,0,0.074074,0] recall 0.59887 [0.906897,0.014085,0.021978,0.025,0,0,0] recall 0.584181 [0.881239,0.056338,0.011111,0,0,0,0] recall 0.59209 [0.893287,0.028169,0.022222,0.025,0,0,0] recall 0.6 [0.888124,0.028169,0.088889,0.075,0.035714,0,0] recall 0.587571 [0.886403,0.028169,0.011111,0,0.035714,0,0] recall 0.59548 [0.898451,0,0.044444,0.025,0,0,0] recall 0.6 [0.89673,0.084507,0.033333,0.025,0,0,0] recall 0.59096 [0.884682,0.028169,0.055556,0.02439,0.017857,0,0] recall 0.610169 [0.910499,0.028169,0.055556,0.073171,0,0.037037,0] recall 0.59774 [0.898451,0.042254,0.044444,0,0,0,0] recall 0.59435 [0.895009,0.042254,0.033333,0,0,0,0] recall 0.60226 [0.901893,0.042254,0.066667,0,0,0,0] recall 0.6 [0.898451,0.028169,0.055556,0.05,0,0,0] recall 0.60791 [0.903614,0.084507,0.066667,0.025,0,0,0] recall 0.589831 [0.891566,0.028169,0.022222,0,0,0,0] recall 0.60565 [0.910499,0.028169,0.022222,0.025,0.017857,0.037037,0] recall 0.586441 [0.879518,0.056338,0.011111,0.025,0.035714,0,0] recall 0.59548 [0.89673,0.028169,0.044444,0,0,0,0] recall 0.60113 [0.898451,0.056338,0.055556,0.02439,0,0,0] recall 0.59887 [0.895009,0.028169,0.055556,0.073171,0,0,0] recall 0.59887 [0.905336,0.042254,0.011111,0,0,0,0] recall 0.60226 [0.900172,0.070423,0.022222,0.05,0.017857,0,0] recall 0.60791 [0.913941,0.042254,0.044444,0,0,0,0] recall 0.581921 [0.884682,0.014085,0,0,0,0,0] recall 0.59548 [0.895009,0.028169,0.044444,0,0.017857,0,0] recall 0.610169 [0.907057,0.084507,0.044444,0.025,0.035714,0,0] recall 0.615819 [0.922547,0.028169,0.055556,0.05,0,0,0] recall 0.60904 [0.918966,0.028169,0.021978,0.04878,0,0,0] recall 0.579661 [0.87069,0.070423,0.032967,0,0,0,0] recall 0.60452 [0.905172,0.084507,0.043956,0,0,0,0] recall 0.59435 [0.891566,0.014085,0.055556,0.05,0,0,0] recall 0.60452 [0.905172,0.028169,0.054945,0.025,0.035714,0,0] recall 0.59548 [0.886207,0.070423,0.054945,0.025,0.035714,0,0] recall 0.60452 [0.908621,0.070423,0.032967,0,0,0,0] recall 0.614689 [0.92069,0.028169,0.066667,0.04878,0,0,0] recall 0.611299 [0.915517,0.042254,0.065934,0,0,0.037037,0] recall 0.60113 [0.906897,0.056338,0.010989,0,0.017857,0,0] recall 0.589367 [0.881034,0.056338,0.033333,0.05,0,0.037037,0] recall 0.59276 [0.882759,0.098592,0.022222,0.05,0.017857,0,0] recall 0.611991 [0.918966,0.042254,0.044444,0,0,0.037037,0] recall 0.600679 [0.903448,0.028169,0.044444,0,0.017857,0,0] recall 0.589367 [0.886207,0.042254,0.022222,0.04878,0,0,0] recall 0.604072 [0.908621,0.028169,0.055556,0,0,0,0] recall 0.605204 [0.906897,0.056338,0.055556,0,0,0,0] recall 0.593891 [0.894828,0.070423,0.011111,0,0,0,0] recall 0.602941 [0.908621,0.028169,0.033333,0.02439,0,0,0] recall 0.596154 [0.891379,0.070423,0.055556,0,0,0,0] recall 0.587104 [0.877586,0.098592,0.022222,0.025,0,0,0] recall 0.599548 [0.9,0.042254,0.033333,0.025,0.017857,0,0] recall 0.605204 [0.901724,0.084507,0.033333,0.075,0,0,0] recall 0.625566 [0.924138,0.140845,0.033333,0.073171,0,0.037037,0] recall 0.595023 [0.896552,0.042254,0.022222,0,0.017857,0,0] recall 0.59276 [0.889655,0.070423,0.033333,0,0,0,0] recall 0.59276 [0.886207,0.056338,0.033333,0.02439,0.017857,0.037037,0] recall 0.609729 [0.9,0.070423,0.088889,0.04878,0.017857,0.037037,0] recall 0.600679 [0.903448,0.056338,0.022222,0,0.017857,0,0] recall 0.61086 [0.918966,0.042254,0.022222,0,0.017857,0.037037,0] recall 0.598416 [0.905172,0,0.044444,0,0,0,0] recall 0.590498 [0.887931,0.056338,0.033333,0,0,0,0] recall 0.595023 [0.896552,0.028169,0.033333,0.025,0,0,0] recall 0.606335 [0.913793,0.028169,0.011111,0.02439,0.017857,0.037037,0] recall 0.608597 [0.908621,0.056338,0.044444,0.02439,0.017857,0.037037,0] recall 0.60181 [0.908621,0.014085,0.033333,0.02439,0,0,0] recall 0.600679 [0.896552,0.028169,0.088889,0,0,0.037037,0] recall 0.598416 [0.894828,0.056338,0.065934,0,0,0,0] recall 0.606335 [0.905172,0.042254,0.088889,0,0,0,0] recall 0.60181 [0.910345,0.014085,0.022222,0,0,0.037037,0] recall 0.608597 [0.913793,0.042254,0.044444,0,0.017857,0,0] recall 0.613122 [0.922414,0.042254,0.044444,0,0,0,0] recall 0.593891 [0.891379,0.042254,0.033333,0.025,0.017857,0,0] recall 0.598416 [0.898276,0.028169,0.044444,0.025,0.017857,0,0] recall 0.598416 [0.891379,0.042254,0.088889,0.025,0,0,0] recall 0.597285 [0.898276,0.056338,0.011111,0.05,0,0,0] recall 0.587104 [0.877586,0.084507,0.022222,0.025,0.017857,0,0] recall 0.604072 [0.905172,0.056338,0.022222,0.05,0.017857,0,0] recall 0.591629 [0.887931,0.014085,0.044444,0.05,0.017857,0,0] recall 0.590498 [0.889655,0.028169,0.033333,0,0.017857,0,0] recall 0.60181 [0.906897,0.028169,0.044444,0,0,0,0] recall 0.596154 [0.886207,0.112676,0.033333,0.025,0.017857,0,0] recall 0.580317 [0.874138,0.056338,0.011111,0.025,0,0,0] recall 0.600679 [0.889655,0.070423,0.066667,0.075,0.017857,0,0] recall 0.590498 [0.889655,0.042254,0.011111,0.025,0.017857,0,0] recall 0.589367 [0.882759,0.056338,0.033333,0.025,0.017857,0,0] recall 0.602941 [0.906897,0.014085,0.033333,0.075,0,0,0] recall 0.599548 [0.891379,0.112676,0.033333,0.05,0,0,0] recall 0.607466 [0.905172,0.056338,0.066667,0.05,0,0,0] recall 0.596154 [0.896552,0.056338,0.011111,0.05,0,0,0] recall 0.595023 [0.896552,0.028169,0.044444,0,0,0,0] recall 0.598416 [0.905172,0.028169,0,0.025,0.017857,0,0] recall 0.585973 [0.877586,0.056338,0.033333,0.025,0.017857,0,0] recall 0.593891 [0.889655,0.028169,0.066667,0,0.017857,0,0] recall 0.605204 [0.906897,0.014085,0.055556,0.05,0,0.037037,0] recall 0.602941 [0.901724,0.070423,0.033333,0.025,0.017857,0,0] recall 0.604072 [0.903448,0.056338,0.055556,0,0.017857,0,0] recall 0.587104 [0.886207,0.028169,0.033333,0,0,0,0] recall 0.595023 [0.891379,0.056338,0.033333,0.05,0,0,0] recall 0.587104 [0.882759,0.042254,0.022222,0.025,0.017857,0,0] relative_absolute_error 0.939626 relative_absolute_error 0.955866 relative_absolute_error 0.945372 relative_absolute_error 0.952533 relative_absolute_error 0.960547 relative_absolute_error 0.96932 relative_absolute_error 0.962536 relative_absolute_error 0.967108 relative_absolute_error 0.953397 relative_absolute_error 0.95473 relative_absolute_error 0.959168 relative_absolute_error 0.934713 relative_absolute_error 0.967395 relative_absolute_error 0.960442 relative_absolute_error 0.947081 relative_absolute_error 0.947678 relative_absolute_error 0.946341 relative_absolute_error 0.95255 relative_absolute_error 0.950117 relative_absolute_error 0.959015 relative_absolute_error 0.949969 relative_absolute_error 0.944969 relative_absolute_error 0.947582 relative_absolute_error 0.954426 relative_absolute_error 0.951534 relative_absolute_error 0.948924 relative_absolute_error 0.965099 relative_absolute_error 0.947499 relative_absolute_error 0.945042 relative_absolute_error 0.937685 relative_absolute_error 0.937181 relative_absolute_error 0.969654 relative_absolute_error 0.939725 relative_absolute_error 0.959229 relative_absolute_error 0.948151 relative_absolute_error 0.933914 relative_absolute_error 0.94197 relative_absolute_error 0.940408 relative_absolute_error 0.954579 relative_absolute_error 0.945651 relative_absolute_error 0.965481 relative_absolute_error 0.949683 relative_absolute_error 0.955258 relative_absolute_error 0.952692 relative_absolute_error 0.960601 relative_absolute_error 0.948236 relative_absolute_error 0.946353 relative_absolute_error 0.964458 relative_absolute_error 0.948369 relative_absolute_error 0.955313 relative_absolute_error 0.961102 relative_absolute_error 0.955645 relative_absolute_error 0.9383 relative_absolute_error 0.9383 relative_absolute_error 0.950373 relative_absolute_error 0.963401 relative_absolute_error 0.956327 relative_absolute_error 0.939757 relative_absolute_error 0.955067 relative_absolute_error 0.941454 relative_absolute_error 0.95956 relative_absolute_error 0.964703 relative_absolute_error 0.959425 relative_absolute_error 0.952202 relative_absolute_error 0.932533 relative_absolute_error 0.952057 relative_absolute_error 0.944531 relative_absolute_error 0.954185 relative_absolute_error 0.945352 relative_absolute_error 0.950395 relative_absolute_error 0.940059 relative_absolute_error 0.943123 relative_absolute_error 0.946596 relative_absolute_error 0.937605 relative_absolute_error 0.956358 relative_absolute_error 0.952041 relative_absolute_error 0.965605 relative_absolute_error 0.930554 relative_absolute_error 0.968136 relative_absolute_error 0.972961 relative_absolute_error 0.956509 relative_absolute_error 0.944713 relative_absolute_error 0.946924 relative_absolute_error 0.961148 relative_absolute_error 0.956638 relative_absolute_error 0.963235 relative_absolute_error 0.955325 relative_absolute_error 0.961983 relative_absolute_error 0.956739 relative_absolute_error 0.954658 relative_absolute_error 0.96566 relative_absolute_error 0.951264 relative_absolute_error 0.965346 relative_absolute_error 0.964042 relative_absolute_error 0.95319 relative_absolute_error 0.940761 relative_absolute_error 0.939593 relative_absolute_error 0.964183 relative_absolute_error 0.932694 relative_absolute_error 0.957994 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.27895 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.279284 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.27895 root_mean_prior_squared_error 0.27895 root_mean_prior_squared_error 0.27895 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.27895 root_mean_prior_squared_error 0.27895 root_mean_prior_squared_error 0.27895 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.279271 root_mean_prior_squared_error 0.279284 root_mean_prior_squared_error 0.279271 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.279284 root_mean_prior_squared_error 0.279284 root_mean_prior_squared_error 0.279271 root_mean_prior_squared_error 0.279317 root_mean_prior_squared_error 0.279284 root_mean_prior_squared_error 0.279284 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.279067 root_mean_prior_squared_error 0.279067 root_mean_prior_squared_error 0.279067 root_mean_prior_squared_error 0.279067 root_mean_prior_squared_error 0.279067 root_mean_prior_squared_error 0.279067 root_mean_prior_squared_error 0.279067 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.279067 root_mean_prior_squared_error 0.279067 root_mean_prior_squared_error 0.279067 root_mean_prior_squared_error 0.279067 root_mean_prior_squared_error 0.279067 root_mean_prior_squared_error 0.279067 root_mean_prior_squared_error 0.279067 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.279067 root_mean_prior_squared_error 0.279067 root_mean_prior_squared_error 0.279067 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.279034 root_mean_prior_squared_error 0.279067 root_mean_prior_squared_error 0.279067 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_squared_error 0.2903 root_mean_squared_error 0.293686 root_mean_squared_error 0.291235 root_mean_squared_error 0.293081 root_mean_squared_error 0.295312 root_mean_squared_error 0.296838 root_mean_squared_error 0.293669 root_mean_squared_error 0.297106 root_mean_squared_error 0.295617 root_mean_squared_error 0.29332 root_mean_squared_error 0.295233 root_mean_squared_error 0.288734 root_mean_squared_error 0.296566 root_mean_squared_error 0.294499 root_mean_squared_error 0.290943 root_mean_squared_error 0.291879 root_mean_squared_error 0.292316 root_mean_squared_error 0.294829 root_mean_squared_error 0.293084 root_mean_squared_error 0.295431 root_mean_squared_error 0.292993 root_mean_squared_error 0.292074 root_mean_squared_error 0.292171 root_mean_squared_error 0.295702 root_mean_squared_error 0.291839 root_mean_squared_error 0.293611 root_mean_squared_error 0.297345 root_mean_squared_error 0.293097 root_mean_squared_error 0.291547 root_mean_squared_error 0.289551 root_mean_squared_error 0.290786 root_mean_squared_error 0.29715 root_mean_squared_error 0.293294 root_mean_squared_error 0.293844 root_mean_squared_error 0.293538 root_mean_squared_error 0.292157 root_mean_squared_error 0.290964 root_mean_squared_error 0.290957 root_mean_squared_error 0.292934 root_mean_squared_error 0.294083 root_mean_squared_error 0.296058 root_mean_squared_error 0.292513 root_mean_squared_error 0.293417 root_mean_squared_error 0.296105 root_mean_squared_error 0.295525 root_mean_squared_error 0.294802 root_mean_squared_error 0.292845 root_mean_squared_error 0.294161 root_mean_squared_error 0.292881 root_mean_squared_error 0.295365 root_mean_squared_error 0.295313 root_mean_squared_error 0.29536 root_mean_squared_error 0.289674 root_mean_squared_error 0.288621 root_mean_squared_error 0.293094 root_mean_squared_error 0.296901 root_mean_squared_error 0.293831 root_mean_squared_error 0.291 root_mean_squared_error 0.293167 root_mean_squared_error 0.289595 root_mean_squared_error 0.296608 root_mean_squared_error 0.296323 root_mean_squared_error 0.294098 root_mean_squared_error 0.294055 root_mean_squared_error 0.289704 root_mean_squared_error 0.294319 root_mean_squared_error 0.292925 root_mean_squared_error 0.293682 root_mean_squared_error 0.291108 root_mean_squared_error 0.292391 root_mean_squared_error 0.289975 root_mean_squared_error 0.289301 root_mean_squared_error 0.292307 root_mean_squared_error 0.29113 root_mean_squared_error 0.293182 root_mean_squared_error 0.29475 root_mean_squared_error 0.296655 root_mean_squared_error 0.290574 root_mean_squared_error 0.298061 root_mean_squared_error 0.295939 root_mean_squared_error 0.293489 root_mean_squared_error 0.292316 root_mean_squared_error 0.296873 root_mean_squared_error 0.294887 root_mean_squared_error 0.294486 root_mean_squared_error 0.293545 root_mean_squared_error 0.292342 root_mean_squared_error 0.295051 root_mean_squared_error 0.292516 root_mean_squared_error 0.294721 root_mean_squared_error 0.295076 root_mean_squared_error 0.2944 root_mean_squared_error 0.294585 root_mean_squared_error 0.295235 root_mean_squared_error 0.293252 root_mean_squared_error 0.291461 root_mean_squared_error 0.293907 root_mean_squared_error 0.295424 root_mean_squared_error 0.292077 root_mean_squared_error 0.294356 root_relative_squared_error 1.040637 root_relative_squared_error 1.052826 root_relative_squared_error 1.043987 root_relative_squared_error 1.049401 root_relative_squared_error 1.058604 root_relative_squared_error 1.064075 root_relative_squared_error 1.052714 root_relative_squared_error 1.065035 root_relative_squared_error 1.059698 root_relative_squared_error 1.051463 root_relative_squared_error 1.05837 root_relative_squared_error 1.035071 root_relative_squared_error 1.063148 root_relative_squared_error 1.055687 root_relative_squared_error 1.042942 root_relative_squared_error 1.046298 root_relative_squared_error 1.047863 root_relative_squared_error 1.056872 root_relative_squared_error 1.050615 root_relative_squared_error 1.059031 root_relative_squared_error 1.050341 root_relative_squared_error 1.047046 root_relative_squared_error 1.047395 root_relative_squared_error 1.060002 root_relative_squared_error 1.046151 root_relative_squared_error 1.052504 root_relative_squared_error 1.06589 root_relative_squared_error 1.050663 root_relative_squared_error 1.045108 root_relative_squared_error 1.037952 root_relative_squared_error 1.041233 root_relative_squared_error 1.063971 root_relative_squared_error 1.050214 root_relative_squared_error 1.05334 root_relative_squared_error 1.051036 root_relative_squared_error 1.046092 root_relative_squared_error 1.041871 root_relative_squared_error 1.041674 root_relative_squared_error 1.048874 root_relative_squared_error 1.052989 root_relative_squared_error 1.060834 root_relative_squared_error 1.048131 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