404115 2 Joaquin Vanschoren 1882 Supervised Classification predictive_accuracy 1244 weka.FilteredClassifier_Discretize_J48(4) 2166 weka.classifiers.meta.FilteredClassifier -- -F "weka.filters.supervised.attribute.Discretize -R first-last -precision 6" -W weka.classifiers.trees.J48 -- -C 0.25 -M 2 C 0.25 1068 M 2 1068 F weka.filters.supervised.attribute.Discretize 1244 W weka.classifiers.trees.J48 1244 R first-last 1245 precision 6 1245 weka weka_3.7.12 2 anneal https://www.openml.org/data/download/1666876/phpFsFYVN -1 1413050 description https://api.openml.org/data/download/1413050/weka_generated_run7981542284053564051.xml -1 1413053 model_readable https://api.openml.org/data/download/1413053/WekaModel_weka.classifiers.meta.FilteredClassifier2322701845757797309.model -1 1413052 model_serialized https://api.openml.org/data/download/1413052/WekaSerialized_weka.classifiers.meta.FilteredClassifier8227237630352082486.model -1 1413051 predictions https://api.openml.org/data/download/1413051/weka_generated_predictions9199306532099376000.arff area_under_roc_curve 0.95973 [0.838596,0.971632,0.957422,0.0,0.975221,0.968023] average_cost 0 f_measure 0.907758 [0.333333,0.748238,0.942609,0,0.834186,0.944724] kappa 0.77252 kb_relative_information_score 6302.272915 mean_absolute_error 0.043548 mean_prior_absolute_error 0.134305 number_of_instances 8980 [80,990,6840,0,670,400] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.910646 [1,0.745984,0.940346,0,0.816881,0.949495] predictive_accuracy 0.909688 prior_entropy 1.214875 recall 0.909688 [0.2,0.750505,0.944883,0,0.852239,0.94] relative_absolute_error 0.324245 root_mean_prior_squared_error 0.258218 root_mean_squared_error 0.150987 root_relative_squared_error 0.584726 scimark_benchmark 926.474464 [551.2771025626125, 992.7640510810805, 468.065280891209, 903.9448721759832, 1716.32101431548] total_cost 0 usercpu_time_millis 20 usercpu_time_millis_testing 0 usercpu_time_millis_training 20 area_under_roc_curve 0.977301 [0.988764,0.984911,0.97619,0.0,0.963855,1] area_under_roc_curve 0.967289 [1,0.971193,0.962388,0.0,0.990534,0.994186] area_under_roc_curve 0.971275 [0.97191,0.9675,0.968254,0.0,0.993056,1] area_under_roc_curve 0.967245 [0.910112,0.960625,0.964458,0.0,0.998016,1] area_under_roc_curve 0.971506 [0.977528,0.974375,0.969289,0.0,0.972222,1] area_under_roc_curve 0.963528 [1,0.969375,0.957557,0.0,0.992063,1] area_under_roc_curve 0.956733 [1,0.969375,0.956177,0.0,1,0.859012] area_under_roc_curve 0.944881 [1,0.9325,0.937888,0.0,1,1] area_under_roc_curve 0.916054 [1,0.96845,0.908213,0.0,0.944923,0.861919] area_under_roc_curve 0.978811 [0.337079,0.984225,0.985162,0.0,0.988812,1] area_under_roc_curve 0.941496 [0.797753,1,0.935473,0.0,0.998016,0.850291] area_under_roc_curve 0.93021 [0.876404,0.911875,0.924799,0.0,0.976764,1] area_under_roc_curve 0.952052 [0.432584,0.966875,0.955141,0.0,0.946429,1] area_under_roc_curve 0.953065 [0.977528,0.949375,0.954796,0.0,0.994048,0.864826] area_under_roc_curve 0.9301 [0.983146,0.761875,0.94548,0.0,0.978175,1] area_under_roc_curve 0.963085 [1,0.960625,0.959627,0.0,0.97619,1] area_under_roc_curve 0.930016 [0.966292,0.914952,0.920635,0.0,1,0.994186] area_under_roc_curve 0.9733 [0.955056,0.973125,0.969979,0.0,0.997024,1] area_under_roc_curve 0.991993 [0.966292,0.988125,0.991644,0.0,1,1] area_under_roc_curve 0.978479 [0.494382,0.981875,0.982057,0.0,0.998016,1] area_under_roc_curve 0.975438 [0.983146,0.980625,0.97274,0.0,0.980159,1] area_under_roc_curve 0.965377 [0.5,0.970625,0.966912,0.0,0.989673,1] area_under_roc_curve 0.965384 [0.5,0.9825,0.967564,0.0,0.96627,1] area_under_roc_curve 0.927968 [0.455056,0.951875,0.930642,0.0,0.983135,0.857558] area_under_roc_curve 0.965228 [0.455056,0.985,0.966529,0.0,0.979167,1] area_under_roc_curve 0.972295 [0.960674,0.99625,0.970669,0.0,0.934524,1] area_under_roc_curve 0.940699 [1,0.983125,0.932487,0.0,0.992255,0.869186] area_under_roc_curve 0.938953 [0.921348,0.986875,0.934092,0.0,0.970238,0.860465] area_under_roc_curve 0.976192 [0.494382,0.98875,0.978275,0.0,0.996558,0.994186] area_under_roc_curve 0.979047 [0.960674,0.9725,0.977226,0.0,1,1] area_under_roc_curve 0.962121 [0.988764,0.989375,0.959972,0.0,0.911706,1] area_under_roc_curve 0.95344 [0.983146,0.988125,0.947193,0.0,0.933735,1] area_under_roc_curve 0.96858 [0.960674,0.978052,0.964458,0.0,0.980207,1] area_under_roc_curve 0.969733 [1,1,0.965148,0.0,0.954389,1] area_under_roc_curve 0.945716 [0.848315,0.98875,0.944853,0.0,0.95525,0.860465] area_under_roc_curve 0.984868 [0.494382,0.984225,0.989648,0.0,1,1] area_under_roc_curve 0.951252 [0.983146,0.94625,0.944519,0.0,0.991394,1] area_under_roc_curve 0.981968 [0.977528,0.995885,0.982057,0.0,0.953528,1] area_under_roc_curve 0.96472 [0.977528,0.984375,0.960896,0.0,0.951807,1] area_under_roc_curve 0.956138 [0.994382,0.958125,0.949275,0.0,1,0.994186] area_under_roc_curve 0.973506 [0.488764,0.99625,0.974599,0.0,0.984509,1] area_under_roc_curve 0.974973 [0.404494,0.950625,0.983957,0.0,0.989673,1] area_under_roc_curve 0.976284 [0.988764,0.989375,0.973262,0.0,0.971601,1] area_under_roc_curve 0.94657 [0.994382,0.974375,0.940842,0.0,0.925129,1] area_under_roc_curve 0.954366 [0.494382,0.994375,0.953877,0.0,0.944923,0.994186] area_under_roc_curve 0.986795 [0.376404,0.985625,0.993984,0.0,0.998279,1] area_under_roc_curve 0.978352 [0.960674,0.97,0.976604,0.0,0.997418,1] area_under_roc_curve 0.907392 [0.41573,0.973125,0.915107,0.0,0.834768,0.861919] area_under_roc_curve 0.929137 [0.876404,0.934375,0.925802,0.0,1,0.861919] area_under_roc_curve 0.914957 [1,0.949375,0.900735,0.0,0.943201,1] area_under_roc_curve 0.963751 [1,0.958125,0.95889,0.0,0.993115,1] area_under_roc_curve 0.953392 [1,0.960625,0.945521,0.0,0.986231,1] area_under_roc_curve 0.930028 [1,0.99,0.918449,0.0,0.996558,0.843023] area_under_roc_curve 0.97775 [0.494382,0.991875,0.979612,0.0,0.999139,0.994186] area_under_roc_curve 0.944244 [1,0.975625,0.938168,0.0,1,0.857558] area_under_roc_curve 0.972488 [0.910112,0.96875,0.970922,0.0,0.986231,1] area_under_roc_curve 0.960276 [0.88764,0.98625,0.955882,0.0,0.953528,1] area_under_roc_curve 0.965278 [0.494382,0.95625,0.967914,0.0,1,1] area_under_roc_curve 0.980726 [0.994382,0.986875,0.978275,0.0,0.982788,1] area_under_roc_curve 0.946137 [0.97191,0.98625,0.948864,0.0,0.97074,0.75] area_under_roc_curve 0.961535 [0.977528,0.96625,0.957219,0.0,0.972461,1] area_under_roc_curve 0.963687 [1,0.969375,0.958556,0.0,0.982788,0.994186] area_under_roc_curve 0.944654 [0.932584,0.95375,0.944184,0.0,0.981067,0.869186] area_under_roc_curve 0.958845 [0.88764,0.95875,0.954211,0.0,0.993976,0.994186] area_under_roc_curve 0.976887 [0.977528,0.978125,0.97393,0.0,0.990534,1] area_under_roc_curve 0.905158 [1,0.94875,0.892714,0.0,0.971601,0.867733] area_under_roc_curve 0.976811 [0.494382,0.99,0.979278,0.0,0.989673,1] area_under_roc_curve 0.95497 [0.983146,0.96,0.947861,0.0,0.987091,1] area_under_roc_curve 0.977247 [0.94382,0.986875,0.974933,0.0,0.981067,0.994186] area_under_roc_curve 0.942184 [0.853933,0.973125,0.93516,0.0,0.945783,1] area_under_roc_curve 0.948752 [0.410112,0.97125,0.948529,0.0,0.966437,1] area_under_roc_curve 0.984996 [0.960674,0.959375,0.986888,0.0,1,1] area_under_roc_curve 0.953267 [1,0.965625,0.94619,0.0,0.977625,0.988372] area_under_roc_curve 0.924209 [0.977528,0.959375,0.912433,0.0,0.992255,0.90407] area_under_roc_curve 0.986504 [0.966292,0.98125,0.986631,0.0,0.987952,1] area_under_roc_curve 0.904503 [0.977528,0.92875,0.889706,0.0,0.95525,0.988372] area_under_roc_curve 0.982144 [0.983146,0.99,0.979947,0.0,0.981928,1] area_under_roc_curve 0.9644 [0.983146,0.973125,0.958222,0.0,0.992255,0.994186] area_under_roc_curve 0.951569 [0.438202,0.95125,0.954796,0.0,0.968254,1] area_under_roc_curve 0.983032 [1,0.98625,0.980615,0.0,0.993115,0.994186] area_under_roc_curve 0.96481 [0.0,0.982278,0.957983,0.0,0.986063,1] area_under_roc_curve 0.972879 [0.0,0.989873,0.969565,0.0,0.99498,0.954412] area_under_roc_curve 0.992584 [0.0,0.991139,0.991597,0.0,1,1] area_under_roc_curve 0.974816 [0.0,0.994937,0.971639,0.0,0.962544,1] area_under_roc_curve 0.991728 [0.0,0.986076,0.992297,0.0,0.989547,1] area_under_roc_curve 0.962229 [0.0,0.96962,0.957633,0.0,0.974739,1] area_under_roc_curve 0.961241 [0.0,0.970253,0.958333,0.0,0.953815,1] area_under_roc_curve 0.973391 [0.0,0.981646,0.971639,0.0,0.963415,1] area_under_roc_curve 0.969139 [0.0,0.966456,0.96558,0.0,0.993976,1] area_under_roc_curve 0.969609 [0.0,0.96962,0.966036,0.0,0.986934,1] area_under_roc_curve 0.949303 [0.0,0.951899,0.94923,0.0,0.991289,0.870588] area_under_roc_curve 0.965497 [0.0,0.989241,0.965942,0.0,0.98996,0.861765] area_under_roc_curve 0.928674 [0.0,0.962025,0.922969,0.0,0.972997,0.864706] area_under_roc_curve 0.975857 [0.0,0.981646,0.971639,0.0,0.994774,1] area_under_roc_curve 0.970723 [0.0,0.960417,0.967754,0.0,0.996516,1] area_under_roc_curve 0.898605 [0.0,0.892405,0.889356,0.0,0.996516,0.9] area_under_roc_curve 0.953415 [0.0,0.960127,0.946739,0.0,0.987952,1] area_under_roc_curve 0.984206 [0.0,0.987975,0.981443,0.0,1,0.994118] area_under_roc_curve 0.943113 [0.0,0.953165,0.935507,0.0,0.975904,1] area_under_roc_curve 0.979659 [0.0,0.983544,0.977591,0.0,0.982578,1] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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0.860954 [0,0.777778,0.924138,0,0.6,0.666667] f_measure 0.915617 [0,0.736842,0.94964,0,0.923077,1] f_measure 0.90127 [1,0.736842,0.940299,0,0.75,0.888889] f_measure 0.890522 [0,0.705882,0.93617,0,0.857143,0.857143] f_measure 0.874239 [0,0.666667,0.918519,0,0.857143,0.888889] f_measure 0.894809 [0,0.8,0.934307,0,0.714286,1] f_measure 0.873797 [1,0.692308,0.916031,0,0.714286,0.857143] f_measure 0.915347 [0,0.842105,0.94964,0,0.769231,1] f_measure 0.867986 [0,0.625,0.920863,0,0.75,1] f_measure 0.938664 [0,0.909091,0.970588,0,0.833333,0.888889] f_measure 0.898653 [0,0.8,0.939394,0,0.714286,1] f_measure 0.882772 [0,0.666667,0.934307,0,0.75,1] f_measure 0.912099 [0,0.666667,0.948148,0,1,1] f_measure 0.913194 [1,0.818182,0.947368,0,0.769231,0.8] f_measure 0.867523 [0,0.666667,0.920863,0,0.875,0.666667] f_measure 0.952008 [0,0.869565,0.985075,0,0.857143,1] f_measure 0.824172 [0,0.583333,0.878788,0,0.769231,0.8] f_measure 0.918494 [0,0.888889,0.948905,0,0.75,1] f_measure 0.90753 [0,0.818182,0.940299,0,0.857143,0.888889] f_measure 0.896296 [0,0.666667,0.942029,0,0.833333,1] f_measure 0.954443 [1,0.9,0.978102,0,0.833333,0.888889] f_measure 0.906046 [0,0.769231,0.929134,0,0.823529,1] f_measure 0.920829 [0,0.8,0.94964,0,0.833333,0.857143] f_measure 0.977528 [0,0.9,0.985294,0,1,1] f_measure 0.965983 [0,0.9,0.978102,0,0.923077,1] f_measure 0.935117 [0,0.818182,0.962406,0,0.8,1] f_measure 0.891811 [0,0.727273,0.924242,0,0.75,1] f_measure 0.891668 [0,0.782609,0.935252,0,0.5,1] f_measure 0.934007 [0,0.857143,0.955224,0,0.8,1] f_measure 0.923417 [0,0.761905,0.948148,0,0.857143,1] f_measure 0.935313 [0,0.782609,0.955224,0,0.923077,1] f_measure 0.887652 [0,0.666667,0.927536,0,0.833333,0.857143] f_measure 0.9325 [0,0.842105,0.956522,0,0.857143,0.857143] f_measure 0.849076 [0,0.428571,0.915493,0,0.8,0.857143] f_measure 0.907772 [0,0.666667,0.941176,0,0.875,1] f_measure 0.921436 [0,0.666667,0.948905,0,0.933333,1] f_measure 0.892143 [0,0.625,0.935252,0,0.875,0.857143] f_measure 0.87781 [0,0.689655,0.904762,0,0.8,1] f_measure 0.944236 [0,0.8,0.962963,0,1,0.888889] f_measure 0.863804 [0,0.526316,0.913043,0,0.769231,1] f_measure 0.907018 [0,0.666667,0.942029,0,0.857143,1] kappa 0.693182 kappa 0.764466 kappa 0.718945 kappa 0.72719 kappa 0.73036 kappa 0.706042 kappa 0.750385 kappa 0.774859 kappa 0.656769 kappa 0.884837 kappa 0.789658 kappa 0.805735 kappa 0.79351 kappa 0.693773 kappa 0.67 kappa 0.682591 kappa 0.718486 kappa 0.801949 kappa 0.88697 kappa 0.8502 kappa 0.797947 kappa 0.749768 kappa 0.73 kappa 0.759197 kappa 0.863429 kappa 0.855862 kappa 0.774812 kappa 0.680964 kappa 0.805915 kappa 0.830028 kappa 0.733037 kappa 0.781884 kappa 0.805915 kappa 0.782477 kappa 0.792447 kappa 0.877717 kappa 0.812779 kappa 0.808375 kappa 0.798335 kappa 0.759215 kappa 0.825 kappa 0.794721 kappa 0.773727 kappa 0.740468 kappa 0.786223 kappa 0.884763 kappa 0.805556 kappa 0.711353 kappa 0.719626 kappa 0.666667 kappa 0.775561 kappa 0.669967 kappa 0.802011 kappa 0.86639 kappa 0.718222 kappa 0.830615 kappa 0.798335 kappa 0.727355 kappa 0.86124 kappa 0.640653 kappa 0.798335 kappa 0.764398 kappa 0.730449 kappa 0.705795 kappa 0.750231 kappa 0.699499 kappa 0.798335 kappa 0.684009 kappa 0.863678 kappa 0.770733 kappa 0.722992 kappa 0.785331 kappa 0.793873 kappa 0.682794 kappa 0.894644 kappa 0.59345 kappa 0.806094 kappa 0.789658 kappa 0.745042 kappa 0.889299 kappa 0.781327 kappa 0.788311 kappa 0.943167 kappa 0.913058 kappa 0.838622 kappa 0.735905 kappa 0.726901 kappa 0.835743 kappa 0.804886 kappa 0.835439 kappa 0.703728 kappa 0.822591 kappa 0.615965 kappa 0.773104 kappa 0.797464 kappa 0.729209 kappa 0.713519 kappa 0.860763 kappa 0.645418 kappa 0.763926 kb_relative_information_score 62.503614 kb_relative_information_score 64.034301 kb_relative_information_score 61.078268 kb_relative_information_score 61.726822 kb_relative_information_score 59.328902 kb_relative_information_score 60.359653 kb_relative_information_score 63.231821 kb_relative_information_score 60.124342 kb_relative_information_score 55.461161 kb_relative_information_score 69.637943 kb_relative_information_score 62.719649 kb_relative_information_score 63.55631 kb_relative_information_score 60.477782 kb_relative_information_score 55.064315 kb_relative_information_score 56.705601 kb_relative_information_score 59.46952 kb_relative_information_score 53.027548 kb_relative_information_score 65.460969 kb_relative_information_score 72.24268 kb_relative_information_score 64.539037 kb_relative_information_score 65.280866 kb_relative_information_score 63.857158 kb_relative_information_score 63.771873 kb_relative_information_score 57.128971 kb_relative_information_score 66.511897 kb_relative_information_score 66.355626 kb_relative_information_score 67.431506 kb_relative_information_score 57.993004 kb_relative_information_score 67.733268 kb_relative_information_score 66.443836 kb_relative_information_score 63.723698 kb_relative_information_score 64.827737 kb_relative_information_score 63.65917 kb_relative_information_score 64.705273 kb_relative_information_score 61.106999 kb_relative_information_score 68.442866 kb_relative_information_score 63.732645 kb_relative_information_score 65.473766 kb_relative_information_score 65.816907 kb_relative_information_score 61.319487 kb_relative_information_score 68.027327 kb_relative_information_score 59.765256 kb_relative_information_score 66.950934 kb_relative_information_score 62.938229 kb_relative_information_score 62.979582 kb_relative_information_score 73.689287 kb_relative_information_score 67.151957 kb_relative_information_score 59.533885 kb_relative_information_score 57.93931 kb_relative_information_score 59.058811 kb_relative_information_score 65.666952 kb_relative_information_score 65.645559 kb_relative_information_score 65.950967 kb_relative_information_score 73.060977 kb_relative_information_score 67.288667 kb_relative_information_score 67.655916 kb_relative_information_score 64.208237 kb_relative_information_score 63.4187 kb_relative_information_score 70.71583 kb_relative_information_score 57.421661 kb_relative_information_score 62.419738 kb_relative_information_score 63.380033 kb_relative_information_score 57.446902 kb_relative_information_score 57.969251 kb_relative_information_score 66.80325 kb_relative_information_score 55.525637 kb_relative_information_score 69.05711 kb_relative_information_score 58.167435 kb_relative_information_score 70.708643 kb_relative_information_score 61.32174 kb_relative_information_score 62.982189 kb_relative_information_score 62.965826 kb_relative_information_score 64.688703 kb_relative_information_score 59.15383 kb_relative_information_score 72.00957 kb_relative_information_score 51.297601 kb_relative_information_score 65.685402 kb_relative_information_score 62.797905 kb_relative_information_score 57.259734 kb_relative_information_score 71.376547 kb_relative_information_score 62.421124 kb_relative_information_score 63.866321 kb_relative_information_score 73.567722 kb_relative_information_score 72.471286 kb_relative_information_score 62.901643 kb_relative_information_score 59.621136 kb_relative_information_score 55.762674 kb_relative_information_score 65.73414 kb_relative_information_score 61.395284 kb_relative_information_score 63.113388 kb_relative_information_score 55.575964 kb_relative_information_score 61.460412 kb_relative_information_score 55.209654 kb_relative_information_score 64.804603 kb_relative_information_score 60.641025 kb_relative_information_score 54.041557 kb_relative_information_score 55.313638 kb_relative_information_score 70.601126 kb_relative_information_score 51.586571 kb_relative_information_score 64.031763 mean_absolute_error 0.040347 mean_absolute_error 0.044322 mean_absolute_error 0.047888 mean_absolute_error 0.044214 mean_absolute_error 0.048778 mean_absolute_error 0.051622 mean_absolute_error 0.043543 mean_absolute_error 0.054398 mean_absolute_error 0.056739 mean_absolute_error 0.032552 mean_absolute_error 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mean_absolute_error 0.02716 mean_absolute_error 0.042121 mean_absolute_error 0.045335 mean_absolute_error 0.050277 mean_absolute_error 0.057848 mean_absolute_error 0.047979 mean_absolute_error 0.049307 mean_absolute_error 0.041426 mean_absolute_error 0.027325 mean_absolute_error 0.042568 mean_absolute_error 0.036837 mean_absolute_error 0.041601 mean_absolute_error 0.04197 mean_absolute_error 0.037221 mean_absolute_error 0.044202 mean_absolute_error 0.049164 mean_absolute_error 0.051585 mean_absolute_error 0.0484 mean_absolute_error 0.052774 mean_absolute_error 0.043563 mean_absolute_error 0.059714 mean_absolute_error 0.034648 mean_absolute_error 0.056921 mean_absolute_error 0.03285 mean_absolute_error 0.047459 mean_absolute_error 0.045173 mean_absolute_error 0.043494 mean_absolute_error 0.048591 mean_absolute_error 0.04933 mean_absolute_error 0.034722 mean_absolute_error 0.067036 mean_absolute_error 0.04647 mean_absolute_error 0.049817 mean_absolute_error 0.049661 mean_absolute_error 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[1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 89 [0,10,68,0,7,4] number_of_instances 89 [0,10,69,0,6,4] number_of_instances 89 [0,10,68,0,7,4] number_of_instances 89 [0,10,68,0,7,4] number_of_instances 89 [0,10,68,0,7,4] number_of_instances 89 [0,10,68,0,7,4] number_of_instances 89 [0,10,69,0,6,4] number_of_instances 89 [0,10,68,0,7,4] number_of_instances 89 [0,10,69,0,6,4] number_of_instances 89 [0,10,68,0,7,4] number_of_instances 89 [0,10,68,0,7,4] number_of_instances 89 [0,10,69,0,6,4] number_of_instances 89 [0,10,68,0,7,4] number_of_instances 89 [0,10,68,0,7,4] number_of_instances 89 [0,9,69,0,7,4] number_of_instances 89 [0,10,68,0,7,4] number_of_instances 89 [0,10,69,0,6,4] number_of_instances 89 [0,10,68,0,7,4] number_of_instances 89 [0,10,69,0,6,4] number_of_instances 89 [0,10,68,0,7,4] precision 0.900427 [0,1,0.884615,0,1,1] precision 0.911713 [1,0.636364,0.969231,0,0.75,0.8] precision 0.886737 [0,0.833333,0.905405,0,0.833333,1] precision 0.887298 [0,0.583333,0.940299,0,0.857143,1] precision 0.890079 [0,0.857143,0.916667,0,0.714286,1] precision 0.900578 [1,0.571429,0.967213,0,0.6,1] precision 0.903387 [1,0.636364,0.941176,0,1,0.75] precision 0.91746 [1,0.857143,0.942029,0,0.666667,1] precision 0.886369 [1,0.5,0.95082,0,0.666667,1] precision 0.944762 [0,0.875,0.971429,0,0.875,1] precision 0.912357 [0,0.769231,0.969231,0,0.857143,0.6] precision 0.911755 [0,0.8,0.942029,0,0.857143,1] precision 0.915393 [0,0.727273,0.943662,0,1,1] precision 0.874103 [0,0.714286,0.90411,0,0.857143,1] precision 0.861574 [0,0.625,0.902778,0,0.833333,1] precision 0.877215 [1,0.636364,0.914286,0,0.75,1] precision 0.896162 [0,1,0.927536,0,0.636364,0.8] precision 0.912698 [0,0.7,0.956522,0,0.857143,1] precision 0.944162 [0,0.888889,0.957143,0,1,1] precision 0.936772 [0,1,0.944444,0,0.857143,1] precision 0.911746 [0,0.8,0.942857,0,0.833333,1] precision 0.897101 [0,0.666667,0.927536,0,1,1] precision 0.886111 [0,0.75,0.916667,0,0.833333,1] precision 0.902315 [0,0.7,0.930556,0,1,1] precision 0.940694 [0,0.769231,0.985075,0,0.833333,1] precision 0.936984 [0,1,0.957143,0,0.714286,1] precision 0.921847 [1,0.6,0.968254,0,0.875,1] precision 0.888063 [0,1,0.893333,0,0.714286,1] precision 0.913977 [0,0.8,0.942029,0,1,0.8] precision 0.925253 [0,0.727273,0.956522,0,1,1] precision 0.909235 [0,1,0.896104,0,1,1] precision 0.90202 [0,0.818182,0.941176,0,0.714286,1] precision 0.915621 [0,0.8,0.955882,0,0.75,1] precision 0.915672 [0,1,0.955224,0,0.5,1] precision 0.917493 [0,0.666667,0.969231,0,0.857143,1] precision 0.94688 [0,1,0.945205,0,1,1] precision 0.915552 [0,0.8,0.955224,0,0.777778,1] precision 0.927556 [0,1,0.92,0,1,1] precision 0.910372 [0,0.888889,0.929577,0,0.833333,1] precision 0.898591 [0,0.666667,0.954545,0,0.857143,0.8] precision 0.927922 [0,0.769231,0.984127,0,0.7,1] precision 0.909436 [0,0.857143,0.930556,0,0.857143,1] precision 0.899735 [0,0.8,0.928571,0,0.833333,1] precision 0.887261 [0,0.8,0.915493,0,0.8,1] precision 0.905891 [0,0.9,0.955224,0,0.625,0.8] precision 0.944618 [0,0.888889,0.957746,0,1,1] precision 0.914786 [0,0.727273,0.942029,0,1,1] precision 0.878743 [0,0.7,0.915493,0,0.833333,1] precision 0.886074 [0,0.8,0.893333,0,1,1] precision 0.880741 [1,0.5,0.95,0,0.666667,1] precision 0.915644 [1,0.666667,0.968254,0,0.7,1] precision 0.903134 [1,1,0.871795,0,1,1] precision 0.923492 [1,0.8,0.942857,0,0.857143,1] precision 0.936613 [0,0.9,0.970149,0,0.875,0.8] precision 0.88246 [1,0.625,0.914286,0,1,0.75] precision 0.92627 [0,1,0.942857,0,0.75,1] precision 0.910372 [0,0.888889,0.929577,0,0.833333,1] precision 0.882828 [0,0.545455,0.926471,0,1,1] precision 0.933816 [0,0.9,0.956522,0,0.857143,1] precision 0.876876 [0,0.875,0.87013,0,1,1] precision 0.910989 [0,0.777778,0.929577,0,1,1] precision 0.90615 [1,0.777778,0.954545,0,0.666667,0.8] precision 0.889454 [0,0.857143,0.90411,0,0.857143,1] precision 0.8721 [0,0.636364,0.925373,0,0.857143,0.8] precision 0.889694 [0,0.8,0.927536,0,0.714286,1] precision 0.893188 [1,0.5625,0.952381,0,0.714286,1] precision 0.910372 [0,0.888889,0.929577,0,0.833333,1] precision 0.869953 [0,0.833333,0.901408,0,0.666667,1] precision 0.939259 [0,0.833333,0.970588,0,1,0.8] precision 0.906019 [0,0.666667,0.96875,0,0.714286,1] precision 0.880435 [0,0.75,0.927536,0,0.666667,1] precision 0.918038 [0,0.571429,0.969697,0,1,1] precision 0.921197 [1,0.75,0.969231,0,0.833333,0.666667] precision 0.869336 [0,0.75,0.901408,0,0.777778,1] precision 0.952137 [0,0.769231,1,0,0.857143,1] precision 0.834722 [0,0.5,0.90625,0,0.833333,0.666667] precision 0.919163 [0,1,0.942029,0,0.666667,1] precision 0.906768 [0,0.75,0.954545,0,0.857143,0.8] precision 0.892929 [0,0.636364,0.942029,0,0.833333,1] precision 0.9581 [1,0.9,0.971014,0,1,0.8] precision 0.93427 [0,0.625,1,0,0.7,1] precision 0.92199 [0,0.8,0.942857,0,0.833333,1] precision 0.977528 [0,0.9,0.985294,0,1,1] precision 0.966618 [0,0.9,0.971014,0,1,1] precision 0.940493 [0,0.75,0.984615,0,0.75,1] precision 0.900515 [0,0.666667,0.953125,0,0.666667,1] precision 0.910051 [0,0.692308,0.928571,0,1,1] precision 0.936755 [0,0.818182,0.969697,0,0.75,1] precision 0.929009 [0,0.727273,0.969697,0,0.75,1] precision 0.942275 [0,0.692308,0.969697,0,1,1] precision 0.893652 [0,0.636364,0.914286,0,1,1] precision 0.936954 [0,0.888889,0.956522,0,0.75,1] precision 0.859323 [0,0.75,0.878378,0,0.75,1] precision 0.909488 [0,0.75,0.941176,0,0.777778,1] precision 0.922257 [0,0.666667,0.955882,0,0.875,1] precision 0.899228 [0,0.833333,0.915493,0,0.777778,1] precision 0.924305 [0,0.526316,1,0,0.666667,1] precision 0.945732 [0,0.8,0.970149,0,1,0.8] precision 0.863385 [0,0.555556,0.913043,0,0.714286,1] precision 0.9061 [0,0.75,0.928571,0,0.857143,1] predictive_accuracy 0.9 predictive_accuracy 0.9 predictive_accuracy 0.9 predictive_accuracy 0.888889 predictive_accuracy 0.9 predictive_accuracy 0.866667 predictive_accuracy 0.9 predictive_accuracy 0.911111 predictive_accuracy 0.844444 predictive_accuracy 0.955556 predictive_accuracy 0.911111 predictive_accuracy 0.922222 predictive_accuracy 0.922222 predictive_accuracy 0.888889 predictive_accuracy 0.877778 predictive_accuracy 0.877778 predictive_accuracy 0.888889 predictive_accuracy 0.922222 predictive_accuracy 0.955556 predictive_accuracy 0.944444 predictive_accuracy 0.922222 predictive_accuracy 0.9 predictive_accuracy 0.9 predictive_accuracy 0.911111 predictive_accuracy 0.944444 predictive_accuracy 0.944444 predictive_accuracy 0.9 predictive_accuracy 0.888889 predictive_accuracy 0.922222 predictive_accuracy 0.933333 predictive_accuracy 0.911111 predictive_accuracy 0.911111 predictive_accuracy 0.922222 predictive_accuracy 0.911111 predictive_accuracy 0.911111 predictive_accuracy 0.955556 predictive_accuracy 0.922222 predictive_accuracy 0.933333 predictive_accuracy 0.922222 predictive_accuracy 0.9 predictive_accuracy 0.922222 predictive_accuracy 0.922222 predictive_accuracy 0.911111 predictive_accuracy 0.9 predictive_accuracy 0.911111 predictive_accuracy 0.955556 predictive_accuracy 0.922222 predictive_accuracy 0.888889 predictive_accuracy 0.9 predictive_accuracy 0.844444 predictive_accuracy 0.9 predictive_accuracy 0.888889 predictive_accuracy 0.922222 predictive_accuracy 0.944444 predictive_accuracy 0.888889 predictive_accuracy 0.933333 predictive_accuracy 0.922222 predictive_accuracy 0.888889 predictive_accuracy 0.944444 predictive_accuracy 0.877778 predictive_accuracy 0.922222 predictive_accuracy 0.9 predictive_accuracy 0.9 predictive_accuracy 0.877778 predictive_accuracy 0.9 predictive_accuracy 0.866667 predictive_accuracy 0.922222 predictive_accuracy 0.877778 predictive_accuracy 0.944444 predictive_accuracy 0.9 predictive_accuracy 0.888889 predictive_accuracy 0.911111 predictive_accuracy 0.911111 predictive_accuracy 0.877778 predictive_accuracy 0.955556 predictive_accuracy 0.822222 predictive_accuracy 0.922222 predictive_accuracy 0.911111 predictive_accuracy 0.9 predictive_accuracy 0.955556 predictive_accuracy 0.898876 predictive_accuracy 0.921348 predictive_accuracy 0.977528 predictive_accuracy 0.966292 predictive_accuracy 0.932584 predictive_accuracy 0.88764 predictive_accuracy 0.898876 predictive_accuracy 0.932584 predictive_accuracy 0.921348 predictive_accuracy 0.932584 predictive_accuracy 0.88764 predictive_accuracy 0.932584 predictive_accuracy 0.865169 predictive_accuracy 0.910112 predictive_accuracy 0.921348 predictive_accuracy 0.898876 predictive_accuracy 0.865169 predictive_accuracy 0.94382 predictive_accuracy 0.865169 predictive_accuracy 0.910112 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 recall 0.9 [0,0.333333,1,0,0.714286,1] recall 0.9 [1,0.777778,0.913043,0,0.857143,1] recall 0.9 [0,0.5,0.971014,0,0.833333,1] recall 0.888889 [0,0.7,0.913043,0,1,1] recall 0.9 [0,0.6,0.956522,0,0.833333,1] recall 0.866667 [1,0.8,0.855072,0,1,1] recall 0.9 [1,0.7,0.927536,0,1,0.75] recall 0.911111 [1,0.6,0.942029,0,1,1] recall 0.844444 [1,0.888889,0.84058,0,0.857143,0.75] recall 0.955556 [0,0.777778,0.985507,0,1,1] recall 0.911111 [0,1,0.913043,0,1,0.75] recall 0.922222 [0,0.8,0.955882,0,0.857143,1] recall 0.922222 [0,0.8,0.971014,0,0.666667,1] recall 0.888889 [0,0.5,0.956522,0,1,0.75] recall 0.877778 [0,0.5,0.942029,0,0.833333,1] recall 0.877778 [1,0.7,0.927536,0,0.5,1] recall 0.888889 [0,0.555556,0.927536,0,1,1] recall 0.922222 [0,0.7,0.956522,0,1,1] recall 0.955556 [0,0.8,0.985294,0,1,1] recall 0.944444 [0,0.7,0.985507,0,1,1] recall 0.922222 [0,0.8,0.956522,0,0.833333,1] recall 0.9 [0,0.8,0.941176,0,0.714286,1] recall 0.9 [0,0.6,0.956522,0,0.833333,1] recall 0.911111 [0,0.7,0.971014,0,0.833333,0.75] recall 0.944444 [0,1,0.956522,0,0.833333,1] recall 0.944444 [0,0.9,0.971014,0,0.833333,1] recall 0.9 [1,0.9,0.897059,0,1,0.75] recall 0.888889 [0,0.5,0.971014,0,0.833333,0.75] recall 0.922222 [0,0.8,0.955882,0,0.857143,1] recall 0.933333 [0,0.8,0.956522,0,1,1] recall 0.911111 [0,0.5,1,0,0.666667,1] recall 0.911111 [0,0.9,0.941176,0,0.714286,1] recall 0.922222 [0,0.888889,0.942029,0,0.857143,1] recall 0.911111 [0,1,0.927536,0,0.714286,1] recall 0.911111 [0,1,0.926471,0,0.857143,0.75] recall 0.955556 [0,0.666667,1,0,1,1] recall 0.922222 [0,0.8,0.941176,0,1,1] recall 0.933333 [0,0.777778,1,0,0.571429,1] recall 0.922222 [0,0.8,0.970588,0,0.714286,1] recall 0.9 [0,0.8,0.913043,0,1,1] recall 0.922222 [0,1,0.911765,0,1,1] recall 0.922222 [0,0.6,0.985294,0,0.857143,1] recall 0.911111 [0,0.8,0.955882,0,0.714286,1] recall 0.9 [0,0.8,0.955882,0,0.571429,1] recall 0.911111 [0,0.9,0.941176,0,0.714286,1] recall 0.955556 [0,0.8,1,0,0.857143,1] recall 0.922222 [0,0.8,0.955882,0,0.857143,1] recall 0.888889 [0,0.7,0.955882,0,0.714286,0.75] recall 0.9 [0,0.4,0.985294,0,1,0.75] recall 0.844444 [1,0.8,0.838235,0,0.857143,1] recall 0.9 [1,0.8,0.897059,0,1,1] recall 0.888889 [1,0.1,1,0,0.857143,1] recall 0.922222 [1,0.8,0.970588,0,0.857143,0.5] recall 0.944444 [0,0.9,0.955882,0,1,1] recall 0.888889 [1,0.5,0.941176,0,1,0.75] recall 0.933333 [0,0.8,0.970588,0,0.857143,1] recall 0.922222 [0,0.8,0.970588,0,0.714286,1] recall 0.888889 [0,0.6,0.926471,0,1,1] recall 0.944444 [0,0.9,0.970588,0,0.857143,1] recall 0.877778 [0,0.7,0.985294,0,0.428571,0.5] recall 0.922222 [0,0.7,0.970588,0,0.857143,1] recall 0.9 [1,0.7,0.926471,0,0.857143,1] recall 0.9 [0,0.6,0.970588,0,0.857143,0.75] recall 0.877778 [0,0.7,0.911765,0,0.857143,1] recall 0.9 [0,0.8,0.941176,0,0.714286,1] recall 0.866667 [1,0.9,0.882353,0,0.714286,0.75] recall 0.922222 [0,0.8,0.970588,0,0.714286,1] recall 0.877778 [0,0.5,0.941176,0,0.857143,1] recall 0.944444 [0,1,0.970588,0,0.714286,1] recall 0.9 [0,1,0.911765,0,0.714286,1] recall 0.888889 [0,0.6,0.941176,0,0.857143,1] recall 0.911111 [0,0.8,0.927536,0,1,1] recall 0.911111 [1,0.9,0.926471,0,0.714286,1] recall 0.877778 [0,0.6,0.941176,0,1,0.5] recall 0.955556 [0,1,0.970588,0,0.857143,1] recall 0.822222 [0,0.7,0.852941,0,0.714286,1] recall 0.922222 [0,0.8,0.955882,0,0.857143,1] recall 0.911111 [0,0.9,0.926471,0,0.857143,1] recall 0.9 [0,0.7,0.942029,0,0.833333,1] recall 0.955556 [1,0.9,0.985294,0,0.714286,1] recall 0.898876 [0,1,0.867647,0,1,1] recall 0.921348 [0,0.8,0.956522,0,0.833333,0.75] recall 0.977528 [0,0.9,0.985294,0,1,1] recall 0.966292 [0,0.9,0.985294,0,0.857143,1] recall 0.932584 [0,0.9,0.941176,0,0.857143,1] recall 0.88764 [0,0.8,0.897059,0,0.857143,1] recall 0.898876 [0,0.9,0.942029,0,0.333333,1] recall 0.932584 [0,0.9,0.941176,0,0.857143,1] recall 0.921348 [0,0.8,0.927536,0,1,1] recall 0.932584 [0,0.9,0.941176,0,0.857143,1] recall 0.88764 [0,0.7,0.941176,0,0.714286,0.75] recall 0.932584 [0,0.8,0.956522,0,1,0.75] recall 0.865169 [0,0.3,0.955882,0,0.857143,0.75] recall 0.910112 [0,0.6,0.941176,0,1,1] recall 0.921348 [0,0.666667,0.942029,0,1,1] recall 0.898876 [0,0.5,0.955882,0,1,0.75] recall 0.865169 [0,1,0.826087,0,1,1] recall 0.94382 [0,0.8,0.955882,0,1,1] recall 0.865169 [0,0.5,0.913043,0,0.833333,1] recall 0.910112 [0,0.6,0.955882,0,0.857143,1] relative_absolute_error 0.302585 relative_absolute_error 0.332398 relative_absolute_error 0.359493 relative_absolute_error 0.331912 relative_absolute_error 0.366176 relative_absolute_error 0.387524 relative_absolute_error 0.326873 relative_absolute_error 0.408361 relative_absolute_error 0.425516 relative_absolute_error 0.244124 relative_absolute_error 0.301582 relative_absolute_error 0.319934 relative_absolute_error 0.323627 relative_absolute_error 0.413015 relative_absolute_error 0.380291 relative_absolute_error 0.36024 relative_absolute_error 0.464997 relative_absolute_error 0.279262 relative_absolute_error 0.247701 relative_absolute_error 0.277394 relative_absolute_error 0.309719 relative_absolute_error 0.298895 relative_absolute_error 0.279512 relative_absolute_error 0.352349 relative_absolute_error 0.248961 relative_absolute_error 0.267208 relative_absolute_error 0.309128 relative_absolute_error 0.348982 relative_absolute_error 0.277885 relative_absolute_error 0.301178 relative_absolute_error 0.296725 relative_absolute_error 0.304713 relative_absolute_error 0.332569 relative_absolute_error 0.304649 relative_absolute_error 0.339906 relative_absolute_error 0.233662 relative_absolute_error 0.35124 relative_absolute_error 0.260608 relative_absolute_error 0.311074 relative_absolute_error 0.370784 relative_absolute_error 0.270805 relative_absolute_error 0.346612 relative_absolute_error 0.276545 relative_absolute_error 0.326357 relative_absolute_error 0.301736 relative_absolute_error 0.200095 relative_absolute_error 0.310308 relative_absolute_error 0.33399 relative_absolute_error 0.370396 relative_absolute_error 0.426171 relative_absolute_error 0.35347 relative_absolute_error 0.363252 relative_absolute_error 0.305192 relative_absolute_error 0.201308 relative_absolute_error 0.3136 relative_absolute_error 0.271379 relative_absolute_error 0.306482 relative_absolute_error 0.3092 relative_absolute_error 0.274213 relative_absolute_error 0.325639 relative_absolute_error 0.3622 relative_absolute_error 0.380033 relative_absolute_error 0.35657 relative_absolute_error 0.38879 relative_absolute_error 0.320932 relative_absolute_error 0.439924 relative_absolute_error 0.255256 relative_absolute_error 0.419343 relative_absolute_error 0.242006 relative_absolute_error 0.349633 relative_absolute_error 0.332797 relative_absolute_error 0.326506 relative_absolute_error 0.357979 relative_absolute_error 0.363418 relative_absolute_error 0.255798 relative_absolute_error 0.493862 relative_absolute_error 0.342347 relative_absolute_error 0.367011 relative_absolute_error 0.372802 relative_absolute_error 0.253615 relative_absolute_error 0.33544 relative_absolute_error 0.253976 relative_absolute_error 0.201306 relative_absolute_error 0.187996 relative_absolute_error 0.327481 relative_absolute_error 0.357223 relative_absolute_error 0.359581 relative_absolute_error 0.280392 relative_absolute_error 0.315293 relative_absolute_error 0.296877 relative_absolute_error 0.366457 relative_absolute_error 0.288513 relative_absolute_error 0.377892 relative_absolute_error 0.298663 relative_absolute_error 0.333929 relative_absolute_error 0.408671 relative_absolute_error 0.392187 relative_absolute_error 0.219615 relative_absolute_error 0.412431 relative_absolute_error 0.290572 root_mean_prior_squared_error 0.256345 root_mean_prior_squared_error 0.256345 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.256345 root_mean_prior_squared_error 0.256345 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.256345 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.256345 root_mean_prior_squared_error 0.256345 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.256345 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.256345 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.256762 root_mean_prior_squared_error 0.251735 root_mean_prior_squared_error 0.256762 root_mean_prior_squared_error 0.256762 root_mean_prior_squared_error 0.256762 root_mean_prior_squared_error 0.256762 root_mean_prior_squared_error 0.251735 root_mean_prior_squared_error 0.256762 root_mean_prior_squared_error 0.251735 root_mean_prior_squared_error 0.256762 root_mean_prior_squared_error 0.256762 root_mean_prior_squared_error 0.251735 root_mean_prior_squared_error 0.256762 root_mean_prior_squared_error 0.256762 root_mean_prior_squared_error 0.251998 root_mean_prior_squared_error 0.256762 root_mean_prior_squared_error 0.251735 root_mean_prior_squared_error 0.256762 root_mean_prior_squared_error 0.251735 root_mean_prior_squared_error 0.256762 root_mean_squared_error 0.15253 root_mean_squared_error 0.155022 root_mean_squared_error 0.149992 root_mean_squared_error 0.149706 root_mean_squared_error 0.154307 root_mean_squared_error 0.153102 root_mean_squared_error 0.161156 root_mean_squared_error 0.14873 root_mean_squared_error 0.173704 root_mean_squared_error 0.118271 root_mean_squared_error 0.150708 root_mean_squared_error 0.159558 root_mean_squared_error 0.151636 root_mean_squared_error 0.167533 root_mean_squared_error 0.179295 root_mean_squared_error 0.162171 root_mean_squared_error 0.168606 root_mean_squared_error 0.147443 root_mean_squared_error 0.11243 root_mean_squared_error 0.128275 root_mean_squared_error 0.14001 root_mean_squared_error 0.159937 root_mean_squared_error 0.137571 root_mean_squared_error 0.166695 root_mean_squared_error 0.139797 root_mean_squared_error 0.127272 root_mean_squared_error 0.146663 root_mean_squared_error 0.158419 root_mean_squared_error 0.140115 root_mean_squared_error 0.133663 root_mean_squared_error 0.145324 root_mean_squared_error 0.154411 root_mean_squared_error 0.147297 root_mean_squared_error 0.147518 root_mean_squared_error 0.15375 root_mean_squared_error 0.121207 root_mean_squared_error 0.158916 root_mean_squared_error 0.139302 root_mean_squared_error 0.145172 root_mean_squared_error 0.162423 root_mean_squared_error 0.143762 root_mean_squared_error 0.149443 root_mean_squared_error 0.145516 root_mean_squared_error 0.164587 root_mean_squared_error 0.155005 root_mean_squared_error 0.113322 root_mean_squared_error 0.14077 root_mean_squared_error 0.167709 root_mean_squared_error 0.165736 root_mean_squared_error 0.176203 root_mean_squared_error 0.154092 root_mean_squared_error 0.143956 root_mean_squared_error 0.142851 root_mean_squared_error 0.125168 root_mean_squared_error 0.149968 root_mean_squared_error 0.141925 root_mean_squared_error 0.146367 root_mean_squared_error 0.160411 root_mean_squared_error 0.131692 root_mean_squared_error 0.179112 root_mean_squared_error 0.147417 root_mean_squared_error 0.164172 root_mean_squared_error 0.171824 root_mean_squared_error 0.168376 root_mean_squared_error 0.1468 root_mean_squared_error 0.194859 root_mean_squared_error 0.138384 root_mean_squared_error 0.172941 root_mean_squared_error 0.134832 root_mean_squared_error 0.164518 root_mean_squared_error 0.157955 root_mean_squared_error 0.138213 root_mean_squared_error 0.163849 root_mean_squared_error 0.174977 root_mean_squared_error 0.12007 root_mean_squared_error 0.202673 root_mean_squared_error 0.14164 root_mean_squared_error 0.161652 root_mean_squared_error 0.159148 root_mean_squared_error 0.129811 root_mean_squared_error 0.14096 root_mean_squared_error 0.132284 root_mean_squared_error 0.093728 root_mean_squared_error 0.103965 root_mean_squared_error 0.128654 root_mean_squared_error 0.15718 root_mean_squared_error 0.160604 root_mean_squared_error 0.136726 root_mean_squared_error 0.145391 root_mean_squared_error 0.143751 root_mean_squared_error 0.171533 root_mean_squared_error 0.141606 root_mean_squared_error 0.173153 root_mean_squared_error 0.13271 root_mean_squared_error 0.142045 root_mean_squared_error 0.167983 root_mean_squared_error 0.156304 root_mean_squared_error 0.120889 root_mean_squared_error 0.177186 root_mean_squared_error 0.139691 root_relative_squared_error 0.59502 root_relative_squared_error 0.604741 root_relative_squared_error 0.585704 root_relative_squared_error 0.584585 root_relative_squared_error 0.602553 root_relative_squared_error 0.597847 root_relative_squared_error 0.629296 root_relative_squared_error 0.580776 root_relative_squared_error 0.677619 root_relative_squared_error 0.461376 root_relative_squared_error 0.588498 root_relative_squared_error 0.611385 root_relative_squared_error 0.592123 root_relative_squared_error 0.654199 root_relative_squared_error 0.700129 root_relative_squared_error 0.633259 root_relative_squared_error 0.657732 root_relative_squared_error 0.575747 root_relative_squared_error 0.430804 root_relative_squared_error 0.5009 root_relative_squared_error 0.546723 root_relative_squared_error 0.612839 root_relative_squared_error 0.537198 root_relative_squared_error 0.650927 root_relative_squared_error 0.545893 root_relative_squared_error 0.496985 root_relative_squared_error 0.561976 root_relative_squared_error 0.61861 root_relative_squared_error 0.536883 root_relative_squared_error 0.521939 root_relative_squared_error 0.567475 root_relative_squared_error 0.591663 root_relative_squared_error 0.574606 root_relative_squared_error 0.575467 root_relative_squared_error 0.589129 root_relative_squared_error 0.472829 root_relative_squared_error 0.608925 root_relative_squared_error 0.543415 root_relative_squared_error 0.55626 root_relative_squared_error 0.634243 root_relative_squared_error 0.550859 root_relative_squared_error 0.572625 root_relative_squared_error 0.557578 root_relative_squared_error 0.630654 root_relative_squared_error 0.59394 root_relative_squared_error 0.434222 root_relative_squared_error 0.539395 root_relative_squared_error 0.642618 root_relative_squared_error 0.635059 root_relative_squared_error 0.675165 root_relative_squared_error 0.590439 root_relative_squared_error 0.551603 root_relative_squared_error 0.547367 root_relative_squared_error 0.479611 root_relative_squared_error 0.574637 root_relative_squared_error 0.543819 root_relative_squared_error 0.560839 root_relative_squared_error 0.614654 root_relative_squared_error 0.504609 root_relative_squared_error 0.686311 root_relative_squared_error 0.564866 root_relative_squared_error 0.629065 root_relative_squared_error 0.658386 root_relative_squared_error 0.645173 root_relative_squared_error 0.5625 root_relative_squared_error 0.746649 root_relative_squared_error 0.530253 root_relative_squared_error 0.662663 root_relative_squared_error 0.516641 root_relative_squared_error 0.630391 root_relative_squared_error 0.605242 root_relative_squared_error 0.539707 root_relative_squared_error 0.627828 root_relative_squared_error 0.670468 root_relative_squared_error 0.460078 root_relative_squared_error 0.776591 root_relative_squared_error 0.542728 root_relative_squared_error 0.619408 root_relative_squared_error 0.621456 root_relative_squared_error 0.497403 root_relative_squared_error 0.548991 root_relative_squared_error 0.525489 root_relative_squared_error 0.365039 root_relative_squared_error 0.404907 root_relative_squared_error 0.501065 root_relative_squared_error 0.612164 root_relative_squared_error 0.637989 root_relative_squared_error 0.532501 root_relative_squared_error 0.577558 root_relative_squared_error 0.559863 root_relative_squared_error 0.668064 root_relative_squared_error 0.562521 root_relative_squared_error 0.674372 root_relative_squared_error 0.516861 root_relative_squared_error 0.563676 root_relative_squared_error 0.654238 root_relative_squared_error 0.620909 root_relative_squared_error 0.47082 root_relative_squared_error 0.70386 root_relative_squared_error 0.544048 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 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 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 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 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 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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