432854 2 Joaquin Vanschoren 1887 Supervised Classification predictive_accuracy 1196 weka.RotationForest_PrincipalComponents_J48(14) 2064 weka.classifiers.meta.RotationForest -- -G 3 -H 3 -P 50 -F "weka.filters.unsupervised.attribute.PrincipalComponents -R 1.0 -A 5 -M -1" -S 1 -num-slots 1 -I 40 -W weka.classifiers.trees.J48 -- -C 0.25 -M 2 C 0.25 1068 M 2 1068 R 1.0 1164 A 5 1164 M -1 1164 G 3 1196 H 3 1196 P 50 1196 F weka.filters.unsupervised.attribute.PrincipalComponents 1196 S 1 1196 num-slots 1 1196 I 40 1196 W weka.classifiers.trees.J48 1196 weka weka_3.7.12 7 audiology https://www.openml.org/data/download/7/dataset_7_audiology.arff -1 1512574 description https://api.openml.org/data/download/1512574/weka_generated_run6560698721301362230.xml -1 1512577 model_readable https://api.openml.org/data/download/1512577/WekaModel_weka.classifiers.meta.RotationForest6882534757087140020.model -1 1512576 model_serialized https://api.openml.org/data/download/1512576/WekaSerialized_weka.classifiers.meta.RotationForest9126732159621529758.model -1 1512575 predictions https://api.openml.org/data/download/1512575/weka_generated_predictions5000254427283736587.arff area_under_roc_curve 0.962451 [0.352667,0.318,0.991021,0.984347,0.318222,0.991473,0.989828,0.967154,0.983281,1,0.992991,0.990574,0.981127,0.999487,1,1,0.436444,1,0.937604,0.82987,0.272222,1,0.973753,0.928415] average_cost 0 f_measure 0.786081 [0,0,0.92931,0.857143,0,0,0.826087,0.835631,0.08,0.991736,0.235294,0.602151,0,0.173913,0.972973,0.75,0,0.090909,0.814159,0.236842,0,0.952381,0.75,0] kappa 0.774943 kb_relative_information_score 1620.833274 mean_absolute_error 0.023892 mean_prior_absolute_error 0.072392 number_of_instances 2260 [10,10,570,220,10,20,200,480,20,60,20,40,20,20,90,30,10,20,220,40,10,40,80,20] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.776936 [0,0,0.913559,0.829787,0,0,0.730769,0.850972,0.066667,0.983607,0.285714,0.528302,0,0.666667,0.947368,0.6,0,0.5,0.793103,0.25,0,0.909091,0.791667,0] predictive_accuracy 0.807522 prior_entropy 3.634907 recall 0.807522 [0,0,0.945614,0.886364,0,0,0.95,0.820833,0.1,1,0.2,0.7,0,0.1,1,1,0,0.05,0.836364,0.225,0,1,0.7125,0] relative_absolute_error 0.330037 root_mean_prior_squared_error 0.189308 root_mean_squared_error 0.108406 root_relative_squared_error 0.572641 scimark_benchmark 939.724095 [561.2099798973987, 1014.4538012229739, 474.2676028917832, 897.1389670094607, 1751.5501218345944] total_cost 0 usercpu_time_millis 2090 usercpu_time_millis_testing 900 usercpu_time_millis_training 1190 area_under_roc_curve 0.986197 [0.0,0.0,1,1,0.0,1,0.97619,0.955556,0.0,0.0,0.0,0.0,0.0,0.0,1,0.0,0.0,1,0.97619,1,0.0,0.0,1,0.0] area_under_roc_curve 0.970466 [0.0,0.0,1,1,0.0,0.0,1,0.977778,1,1,0.0,0.0,1,0.0,1,0.0,0.0,0.0,1,0.431818,0.0,0.0,1,0.0] area_under_roc_curve 0.922514 [0.5,0.0,0.970588,0.952381,0.0,0.0,1,0.977778,0.0,0.0,0.0,1,0.0,0.0,1,0.0,0.0,1,0.857143,0.386364,0.0,1,0.0,0.0] area_under_roc_curve 0.995423 [0.0,0.0,1,1,0.0,0.0,1,0.973684,0.0,1,1,0.0,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0,1,1,0.0] area_under_roc_curve 0.997585 [0.0,0.0,1,1,0.0,0.0,1,0.988889,0.0,1,1,0.0,0.0,0.0,1,0.0,0.0,0.0,1,1,0.0,0.0,1,1] area_under_roc_curve 0.984023 [0.0,0.0,1,0.983333,0.0,0.0,1,0.955556,0.0,0.0,1,0.0,0.0,0.0,1,1,0.0,0.0,0.952381,0.0,0.0,1,1,0.0] area_under_roc_curve 1 [0.0,0.0,1,1,0.0,0.0,1,1,0.0,1,0.0,1,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0,0.0,1,0.0] area_under_roc_curve 0.98627 [0.0,0.0,1,1,0.0,0.0,1,0.921053,0.0,1,0.0,1,0.0,1,1,1,0.0,0.0,1,0.0,0.0,1,0.0,0.0] area_under_roc_curve 0.969583 [0.0,0.0,0.960784,0.952381,0.0,0.0,1,0.95,1,1,1,0.0,1,0.0,1,0.0,0.0,0.0,0.940476,0.0,0.0,0.0,1,0.0] area_under_roc_curve 0.979124 [0.0,0.0,1,1,0.0,0.0,1,0.927778,0.0,1,0.0,1,0.0,0.0,1,1,0.0,0.0,0.940476,0.0,0.0,1,1,0.0] area_under_roc_curve 0.987984 [0.0,0.0,0.980392,0.97619,0.0,1,1,0.977778,0.0,0.0,1,0.0,1,0.0,1,0.0,0.0,0.0,1,1,0.0,0.0,1,0.0] area_under_roc_curve 0.982747 [0.0,0.0,1,1,0.0,0.0,1,0.977778,1,1,0.0,0.0,0.0,0.0,1,0.0,0.0,1,0.857143,0.0,0.0,0.0,1,1] area_under_roc_curve 0.971705 [0.0,0.0,1,1,0.0,0.0,0.97619,0.988889,0.0,0.0,0.0,1,0.0,0.0,1,0.0,0.0,1,0.72619,0.0,0.0,1,0.0,1] area_under_roc_curve 0.974155 [0.0,0.0,0.977778,0.95,0.0,0.0,1,0.933333,0.0,1,1,0.0,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0,1,1,0.0] area_under_roc_curve 0.988362 [0.0,0.0,1,1,0.0,0.0,1,0.955556,0.0,1,0.0,0.0,0.0,0.0,1,0.0,0.0,1,1,1,0.0,0.0,1,0.954545] area_under_roc_curve 0.978261 [0.0,0.0,1,1,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0,1,0.0,0.0,0.5,1,1,0.0,0.0,1,1,0.0] area_under_roc_curve 0.99793 [0.0,0.0,1,1,0.0,1,0.97619,1,0.0,1,0.0,1,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0,0.0,1,0.0] area_under_roc_curve 0.963095 [0.5,0.0,1,1,0.0,0.0,1,0.960526,0.0,1,0.0,1,0.0,0.0,1,1,0.0,0.0,0.966667,0.0,0.0,0.0,0.909091,0.0] area_under_roc_curve 0.961556 [0.0,0.5,0.990196,1,0.0,0.0,1,0.977778,1,0.0,0.0,0.0,1,0.0,1,0.0,0.0,0.0,0.892857,1,0.0,0.0,1,0.0] area_under_roc_curve 0.961666 [0.0,0.0,1,0.97619,0.0,0.0,1,0.961111,0.0,1,0.0,0.0,0.0,0.0,1,1,0.0,0.0,0.964286,0.0,0.5,1,0.931818,0.0] area_under_roc_curve 0.96794 [0.0,0.0,1,1,0.0,0.0,1,0.988889,0.0,0.0,1,0.0,1,0.0,1,0.0,0.0,0.0,1,1,0.5,0.0,0.818182,0.0] area_under_roc_curve 0.987639 [0.0,0.0,0.980392,0.940476,0.0,0.0,0.97619,1,0.0,1,0.0,0.0,0.0,0.0,1,0.0,0.0,1,1,0.0,0.0,0.0,1,1] area_under_roc_curve 0.984892 [0.0,0.0,1,0.966667,0.0,0.0,1,0.977778,0.0,1,0.0,0.0,0.0,0.0,1,0.0,0.0,0.0,1,0.0,0.0,1,1,0.863636] area_under_roc_curve 0.949275 [0.5,0.5,1,1,0.0,0.0,1,0.966667,0.0,1,0.0,0.0,0.0,1,1,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0] area_under_roc_curve 0.986386 [0.0,0.0,1,1,0.0,0.0,0.97619,0.988889,0.0,1,0.0,1,0.954545,0.0,1,1,0.0,1,0.940476,0.0,0.0,0.0,0.954545,0.0] area_under_roc_curve 1 [0.0,0.0,1,1,0.0,0.0,1,1,0.0,0.0,0.0,1,0.0,1,1,0.0,0.0,1,1,0.0,0.0,1,1,0.0] area_under_roc_curve 0.994093 [0.0,0.0,0.985294,0.97619,0.0,1,1,1,0.0,1,0.0,1,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0,0.0,1,0.0] area_under_roc_curve 0.97343 [0.0,0.5,1,1,0.0,0.0,1,0.977778,0.0,1,0.0,1,0.0,0.0,1,0.0,0.0,1,1,0.0,0.0,0.0,1,0.0] area_under_roc_curve 0.90895 [0.0,0.0,1,1,0.5,1,0.952381,0.966667,0.0,0.0,0.0,0.0,0.0,0.0,1,0.0,0.0,0.0,0.595238,0.477273,0.0,1,1,0.0] area_under_roc_curve 0.992612 [0.0,0.0,0.990196,1,0.0,0.0,1,0.977778,1,1,0.0,0.0,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0,1,1,0.0] area_under_roc_curve 0.955933 [0.5,0.0,0.995098,0.964286,0.0,0.0,1,0.988889,0.0,1,0.0,0.0,0.0,1,1,0.0,0.0,0.0,0.821429,0.0,0.0,1,1,0.0] area_under_roc_curve 0.924983 [0.0,0.0,1,1,0.0,0.0,0.97619,0.944444,0.0,0.0,1,1,0.0,0.0,0.0,1,0.5,0.0,0.7,0.0,0.0,1,0.0,0.0] area_under_roc_curve 0.99793 [0.0,0.0,1,1,0.0,0.0,0.97619,1,1,1,1,0.0,0.0,0.0,1,0.0,0.0,0.0,1,0.0,0.0,1,1,0.0] area_under_roc_curve 0.995514 [0.0,0.0,1,1,0.0,1,1,0.988889,0.0,1,0.0,0.0,1,1,1,0.0,0.0,1,0.97619,0.0,0.0,0.0,0.0,0.0] area_under_roc_curve 0.997585 [0.0,0.0,1,1,0.0,0.0,1,0.988889,1,1,0.0,1,1,0.0,1,1,0.0,0.0,1,0.0,0.0,0.0,1,0.0] area_under_roc_curve 0.998024 [0.0,0.0,1,1,0.0,0.0,1,1,0.954545,1,0.0,1,0.0,0.0,1,0.0,0.0,0.0,1,1,0.0,1,1,0.0] area_under_roc_curve 0.988542 [0.0,0.0,1,0.958333,0.0,0.0,1,1,1,0.0,0.0,0.954545,0.954545,0.0,1,0.0,0.0,0.0,0.97619,0.0,0.0,1,0.0,0.0] area_under_roc_curve 0.97412 [0.0,0.0,1,1,0.0,1,0.952381,1,0.0,1,0.0,1,0.0,0.0,1,0.0,0.0,1,1,0.0,0.5,0.0,1,0.0] area_under_roc_curve 0.995859 [0.0,0.0,1,1,0.0,1,0.952381,1,0.0,0.0,0.0,0.0,0.0,1,1,0.0,0.0,0.0,1,1,0.0,1,1,0.0] area_under_roc_curve 0.973775 [0.5,0.0,1,0.97619,0.0,0.0,1,0.988889,1,1,0.0,0.0,0.0,0.0,1,0.0,0.0,0.0,1,0.0,0.0,1,1,0.0] area_under_roc_curve 0.958795 [0.0,0.0,0.990196,1,0.5,0.0,1,0.922222,0.0,1,0.0,0.0,0.0,1,1,0.0,0.0,0.0,1,0.0,0.0,1,1,0.0] area_under_roc_curve 0.978261 [0.0,0.0,1,1,0.0,0.0,1,1,0.0,0.0,1,1,0.0,0.0,1,1,0.0,0.0,1,0.0,0.5,1,0.0,0.0] area_under_roc_curve 0.954228 [0.0,0.0,0.960784,1,0.5,0.0,1,0.955556,1,1,1,0.0,0.0,0.0,1,0.0,0.0,0.0,0.952381,0.0,0.0,0.0,1,0.0] area_under_roc_curve 1 [0.0,0.0,1,1,0.0,1,1,1,0.0,1,0.0,0.0,1,0.0,1,0.0,0.0,0.0,1,0.0,0.0,0.0,1,1] area_under_roc_curve 0.965321 [0.0,0.0,0.994444,1,0.0,0.0,1,0.988889,1,0.0,0.0,1,0.0,1,1,1,0.5,0.0,0.892857,0.0,0.0,1,0.0,0.0] area_under_roc_curve 0.964791 [0.0,0.0,1,1,0.0,0.0,1,0.973684,1,1,0.0,0.954545,1,0.0,1,0.0,0.0,0.0,1,0.340909,0.0,0.0,1,0.0] area_under_roc_curve 0.990487 [0.0,0.0,0.985294,0.975,0.0,0.0,1,0.988889,1,0.0,0.0,0.0,1,0.0,1,0.0,0.0,0.0,1,0.0,0.0,1,0.0,1] area_under_roc_curve 0.956804 [0.0,0.0,1,1,0.5,1,0.97619,0.966667,0.0,0.0,0.0,0.0,0.0,0.0,1,0.0,0.0,0.0,0.928571,1,0.0,0.0,1,0.863636] area_under_roc_curve 0.962055 [0.0,0.0,1,0.966667,0.0,0.0,1,1,0.0,0.0,0.0,0.0,0.0,1,1,0.0,0.0,0.0,1,1,0.5,1,0.727273,0.0] area_under_roc_curve 0.976285 [0.0,0.0,1,1,0.5,0.0,1,1,0.0,0.0,0.0,0.0,0.0,1,1,0.0,0.0,0.0,1,1,0.0,0.0,1,0.954545] area_under_roc_curve 0.968772 [0.0,0.0,1,1,0.0,0.0,1,0.961111,0.0,1,0.0,1,0.0,0.0,1,0.0,0.5,0.0,0.988095,0.0,0.0,1,1,1] area_under_roc_curve 0.97343 [0.0,0.0,1,1,0.5,0.0,1,0.977778,0.0,0.0,0.0,1,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0,1,1,0.0] area_under_roc_curve 0.964065 [0.0,0.0,0.990196,1,0.0,1,1,0.955556,0.0,1,0.0,0.0,0.0,0.0,1,1,0.0,0.0,1,0.0,0.5,0.0,0.954545,0.0] area_under_roc_curve 0.965776 [0.0,0.0,1,1,0.0,0.0,1,0.988889,0.0,1,0.0,1,0.0,0.0,1,0.0,0.0,0.0,0.952381,0.0,0.5,0.0,1,0.863636] area_under_roc_curve 0.959343 [0.0,0.0,0.980392,1,0.0,0.0,1,0.955556,0.0,0.0,0.0,1,0.0,1,1,0.0,0.0,0.0,0.952381,0.0,0.5,1,0.0,0.0] area_under_roc_curve 0.993977 [0.0,0.0,1,1,0.0,1,0.97619,1,0.0,1,0.0,0.954545,0.954545,0.0,1,0.0,0.0,0.0,1,1,0.0,0.0,1,0.0] area_under_roc_curve 0.923835 [0.0,0.0,1,1,0.0,0.0,0.97619,0.911111,0.0,0.0,0.0,0.0,0.0,0.0,1,0.0,0.5,1,0.642857,0.954545,0.0,1,1,1] area_under_roc_curve 0.95809 [0.0,0.0,1,1,0.0,0.0,1,0.944444,1,0.0,0.0,0.0,1,0.0,0.0,0.0,0.5,0.0,0.952381,0.909091,0.0,0.0,1,1] area_under_roc_curve 0.97343 [0.5,0.0,0.988889,1,0.0,0.0,1,0.988889,0.0,1,0.0,0.0,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0,1,1,0.0] area_under_roc_curve 0.921047 [0.0,0.0,0.994444,0.975,0.0,0.0,1,0.955556,0.0,0.0,0.0,0.0,0.0,1,1,0.0,0.5,0.0,0.866667,0.409091,0.0,0.0,0.0,1] area_under_roc_curve 0.962758 [0.0,0.0,1,1,0.0,0.0,1,0.964706,0.0,1,0.0,1,0.0,0.0,1,1,0.0,0.0,0.75,0.0,0.0,1,0.0,0.857143] area_under_roc_curve 0.949064 [0.5,0.0,1,1,0.0,0.0,0.975,0.905882,0.0,0.0,0.0,1,0.0,0.0,1,0.0,0.0,0.0,0.95,0.0,0.0,1,1,0.0] area_under_roc_curve 0.989906 [0.0,0.0,1,1,0.0,1,0.975,0.970588,0.0,1,0.0,0.0,0.0,0.0,1,1,0.0,0.0,0.9875,0.0,0.0,0.0,1,0.0] area_under_roc_curve 0.946056 [0.0,0.0,0.979167,0.975,0.0,0.0,1,0.917647,1,0.0,0.0,1,0.0,0.0,1,0.0,0.0,0.0,0.7,1,0.0,0.0,1,0.0] area_under_roc_curve 0.938995 [0.0,0.0,1,0.719298,0.5,0.0,1,1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1,0.0,0.0,1,1,0.0] area_under_roc_curve 0.947861 [0.0,0.0,0.941176,0.975,0.0,1,0.95,0.929412,0.0,1,0.0,0.0,0.0,0.0,1,0.0,0.0,0.0,0.825,1,0.0,0.0,1,1] area_under_roc_curve 0.982595 [0.0,0.0,1,1,0.0,0.0,1,0.952941,0.0,0.0,1,0.0,0.0,0.0,1,0.0,0.0,1,0.95,1,0.0,1,0.952381,0.0] area_under_roc_curve 0.988176 [0.0,0.0,0.989583,0.95,0.0,0.0,1,1,1,0.0,0.0,0.0,1,0.0,1,0.0,0.0,0.0,0.975,0.952381,0.0,0.0,1,0.0] area_under_roc_curve 1 [0.0,0.0,1,1,0.0,0.0,1,1,0.0,1,0.0,1,0.0,0.0,1,1,0.0,1,1,0.0,0.0,0.0,1,0.0] area_under_roc_curve 0.947861 [0.0,0.5,0.952941,1,0.0,1,1,0.917647,0.0,0.0,0.0,0.0,1,0.0,0.0,0.0,0.0,0.0,1,1,0.0,0.0,0.0,0.0] area_under_roc_curve 1 [0.0,0.0,1,1,0.0,0.0,1,1,1,1,0.0,1,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0,0.0,0.0,0.0] area_under_roc_curve 0.982487 [0.0,0.0,1,1,0.0,1,0.975,0.952941,0.0,1,0.0,0.0,0.0,1,1,0.0,0.0,0.0,0.95,1,0.0,0.0,1,0.0] area_under_roc_curve 0.962541 [0.0,0.5,0.988235,0.95,0.0,0.0,1,0.976471,0.0,1,0.0,0.0,0.0,0.0,1,1,0.0,0.0,1,1,0.0,0.0,0.952381,0.0] area_under_roc_curve 0.991126 [0.0,0.0,1,1,0.0,0.0,0.95,1,1,0.0,0.0,0.952381,0.0,0.0,1,0.0,0.0,0.0,1,0.952381,0.0,0.0,1,0.0] area_under_roc_curve 0.948142 [0.5,0.0,1,1,0.0,0.0,1,0.882353,0.0,0.0,0.0,0.0,0.0,0.0,1,0.0,0.0,0.0,0.982456,0.0,0.0,1,1,0.0] area_under_roc_curve 0.96714 [0.0,0.5,1,1,0.0,0.0,1,0.976471,0.0,1,0.0,0.0,0.0,0.0,1,0.0,0.0,0.0,0.964912,0.0,0.0,0.0,1,1] area_under_roc_curve 0.964305 [0.0,0.0,0.964706,1,0.5,0.0,1,0.988235,0.0,1,1,0.0,0.0,1,0.0,0.0,0.0,0.0,0.975,1,0.0,0.0,1,0.0] area_under_roc_curve 0.974432 [0.0,0.0,0.989583,1,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0,0.0,1,0.0,0.0,0.0,1,0.5,0.0,1,1,0.0] area_under_roc_curve 0.966552 [0.0,0.0,1,1,0.0,0.0,1,0.882353,0.0,1,0.0,1,0.0,0.0,0.0,1,0.0,1,0.95,0.0,0.0,0.0,0.952381,0.0] area_under_roc_curve 0.974172 [0.0,0.0,1,1,0.0,1,0.975,0.905882,0.0,0.0,0.0,1,1,0.0,1,0.0,0.0,0.0,1,0.952381,0.0,0.0,1,0.0] area_under_roc_curve 0.997727 [0.0,0.0,1,1,0.0,0.0,0.975,1,1,1,0.0,1,0.0,0.0,0.0,1,0.0,0.0,1,0.0,0.0,0.0,1,0.0] area_under_roc_curve 0.966342 [0.0,0.0,1,1,0.0,1,0.975,1,0.0,1,0.0,0.0,0.0,1,1,0.0,0.0,0.0,1,0.309524,0.0,0.0,1,0.0] area_under_roc_curve 0.973805 [0.0,0.0,0.976471,1,0.0,0.0,1,1,0.0,0.0,0.0,0.952381,0.952381,0.952381,1,0.0,0.0,0.0,0.894737,1,0.0,0.0,1,0.0] area_under_roc_curve 0.920915 [0.0,0.0,0.96875,0.95,0.5,0.0,1,1,0.0,0.0,0.0,1,0.0,0.0,1,0.0,0.0,0.0,1,0.428571,0.0,0.0,0.619048,0.0] area_under_roc_curve 0.974747 [0.0,0.5,1,1,0.0,1,1,0.986111,0.0,1,0.0,0.0,0.0,0.0,1,0.0,0.0,0.0,1,1,0.0,0.0,1,0.0] area_under_roc_curve 0.904028 [0.0,0.0,0.979167,0.95,0.0,0.0,0.95,0.905882,0.0,1,0.0,0.0,0.0,0.0,1,1,0.0,0.0,0.72807,0.0,0.5,0.0,0.0,0.0] area_under_roc_curve 0.950298 [0.0,0.5,0.989583,1,0.0,0.0,1,0.916667,0.0,1,0.0,0.0,0.0,1,1,0.0,0.0,0.0,0.925,1,0.0,0.0,0.952381,0.0] area_under_roc_curve 0.964639 [0.0,0.0,0.958333,0.9625,0.0,0.0,1,0.929412,0.0,1,1,0.0,0.0,0.0,1,0.0,0.0,0.0,0.95,0.0,0.0,1,1,0.0] area_under_roc_curve 0.960432 [0.0,0.0,0.979167,0.975,0.0,0.0,1,1,0.0,1,0.0,1,0.0,0.0,1,0.0,0.5,0.0,0.982456,0.0,0.0,0.0,0.0,0.857143] area_under_roc_curve 0.972727 [0.0,0.0,1,1,0.0,0.0,1,1,0.0,1,1,1,0.0,0.0,1,0.0,0.0,1,0.7,0.0,0.0,0.0,1,0.0] area_under_roc_curve 0.949179 [0.0,0.5,0.96875,1,0.0,0.0,1,0.986111,0.0,0.0,0.0,0.0,0.0,0.0,1,0.0,0.0,1,0.8125,1,0.0,0.0,1,0.0] area_under_roc_curve 0.949982 [0.0,0.5,0.979167,0.925,0.0,0.0,1,0.930556,0.0,1,0.0,0.0,0.952381,0.0,1,0.0,0.0,0.0,1,1,0.0,0.0,1,0.0] area_under_roc_curve 0.975108 [0.0,0.0,1,1,0.0,0.0,1,1,0.0,0.0,0.0,1,1,1,0.0,0.0,0.5,0.0,1,0.952381,0.0,0.0,1,0.0] area_under_roc_curve 0.970058 [0.0,0.0,1,1,0.0,0.0,1,0.972222,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1,0.5,0.0,1,0.952381,0.0,1,1,0.0] area_under_roc_curve 1 [0.0,0.0,1,1,0.0,1,1,1,0.0,1,1,0.0,0.0,0.0,1,0.0,0.0,0.0,1,1,0.0,0.0,1,0.0] area_under_roc_curve 0.949031 [0.5,0.0,0.989583,1,0.5,0.0,1,0.988235,0.0,0.0,0.0,0.0,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0,0.0,0.0,0.0] area_under_roc_curve 0.88223 [0.5,0.0,1,1,0.0,0.0,0.975,0.805556,0.0,1,0.0,0.0,0.0,0.0,1,0.0,0.0,0.0,0.745614,0.0,0.5,0.0,1,0.0] area_under_roc_curve 1 [0.0,0.0,1,1,0.0,0.0,1,1,0.0,1,0.0,0.0,0.0,1,1,1,0.0,0.0,1,0.0,0.0,1,0.0,0.0] area_under_roc_curve 0.99531 [0.0,0.0,1,1,0.0,0.0,1,0.986111,0.0,1,0.952381,1,0.0,0.0,1,0.0,0.0,0.0,1,0.0,0.0,0.0,0.0,1] area_under_roc_curve 0.991193 [0.0,0.0,0.984375,1,0.0,0.0,1,1,0.0,1,1,1,0.0,0.0,1,0.0,0.0,1,0.95,0.0,0.0,0.0,1,0.0] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 f_measure 0.791304 [0,0,1,1,0,0,0.8,0.8,0,0,0,0,0,0,1,0,0,0,0.8,0,0,0,1,0] f_measure 0.786257 [0,0,0.923077,1,0,0,1,0.909091,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0] f_measure 0.7 [0,0,0.833333,0.8,0,0,1,0.833333,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,1,0,0] f_measure 0.899793 [0,0,1,1,0,0,0.8,0.857143,0,1,0,0,0,0,0.666667,1,0,0,1,0,0,1,1,0] f_measure 0.728286 [0,0,0.923077,0,0,0,1,0.909091,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0.666667,0] f_measure 0.851431 [0,0,0.923077,0.666667,0,0,1,0.888889,0,0,1,0,0,0,1,1,0,0,0.8,0,0,1,0,0] f_measure 0.958454 [0,0,1,1,0,0,0.8,0.888889,0,1,0,1,0,0,1,1,0,0,1,0,0,0,1,0] f_measure 0.826087 [0,0,1,1,0,0,0.666667,0.666667,0,1,0,0,0,0,1,1,0,0,1,0,0,1,0,0] f_measure 0.745125 [0,0,0.909091,0.8,0,0,1,0.75,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,0,1,0] f_measure 0.855072 [0,0,1,1,0,0,1,0.666667,0,1,0,1,0,0,1,1,0,0,0.666667,0,0,1,0,0] f_measure 0.684256 [0,0,0.909091,0.8,0,0,0.8,0.75,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,0,1,0] f_measure 0.656876 [0,0,0.923077,0.666667,0,0,0.8,0.727273,0,1,0,0,0,0,1,0,0,0,0,0,0,0,1,0] f_measure 0.811594 [0,0,1,1,0,0,0.666667,0.8,0,0,0,1,0,0,1,0,0,0,0.666667,0,0,1,0,0] f_measure 0.842995 [0,0,0.888889,0.666667,0,0,1,0.888889,0,1,0,0,0,0,1,1,0,0,1,0,0,1,0.5,0] f_measure 0.751779 [0,0,0.909091,0.8,0,0,0.8,0.727273,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0] f_measure 0.828019 [0,0,1,1,0,0,0.8,0.888889,0,0,1,0,0,0,0,0,0,0,1,0,0,1,1,0] f_measure 0.93913 [0,0,1,1,0,0,0.8,1,0,1,0,1,0,0,1,1,0,0,1,0,0,0,1,0] f_measure 0.73354 [0,0,1,0.857143,0,0,0.8,0.8,0,1,0,0,0,0,1,1,0,0,0.5,0,0,0,0,0] f_measure 0.786257 [0,0,0.923077,1,0,0,1,0.909091,0,0,0,0,0,0,1,0,0,0,0.666667,0.666667,0,0,1,0] f_measure 0.842512 [0,0,1,0.8,0,0,1,0.888889,0,1,0,0,0,0,1,1,0,0,0.666667,0,0,1,0,0] f_measure 0.729692 [0,0,0.923077,0.8,0,0,0.8,0.888889,0,0,0,0,0,0,1,0,0,0,0.8,1,0,0,0,0] f_measure 0.753623 [0,0,0.909091,0.666667,0,0,0.5,0.909091,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0] f_measure 0.815942 [0,0,1,0.5,0,0,0.8,0.8,0,1,0,0,0,0,1,0,0,0,1,0,0,1,0.666667,0] f_measure 0.717949 [0,0,1,0.666667,0,0,0.666667,0.769231,0,1,0,0,0,0,1,0,0,0,1,0,0,1,0,0] f_measure 0.741063 [0,0,1,0.8,0,0,0.666667,0.888889,0,1,0,0.666667,0,0,1,0.666667,0,0,0.666667,0,0,0,0,0] f_measure 0.828458 [0,0,0.909091,0.8,0,0,1,1,0,0,0,0,0,0,1,0,0,0,1,0,0,1,1,0] f_measure 0.898024 [0,0,0.909091,0.8,0,0,0.8,1,0,1,0,1,0,0,1,1,0,0,1,0,0,0,1,0] f_measure 0.804348 [0,0,1,0.666667,0,0,0.666667,0.833333,0,1,0,1,0,0,1,0,0,0,1,0,0,0,0.666667,0] f_measure 0.704571 [0,0,0.923077,1,0,0,0.5,0.666667,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,1,1,0] f_measure 0.788629 [0,0,0.923077,1,0,0,0.8,0.8,0,1,0,0,0,0,0.666667,1,0,0,0.666667,0,0,1,0,0] f_measure 0.805797 [0,0,0.909091,0.8,0,0,0.8,0.909091,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,1,1,0] f_measure 0.669255 [0,0,0.857143,1,0,0,0.666667,0.75,0,0,0,0,0,0,0,1,0,0,0.5,0,0,0.666667,0,0] f_measure 0.867391 [0,0,1,1,0,0,0.8,0.75,0,1,1,0,0,0,1,0,0,0,0.8,0,0,1,1,0] f_measure 0.76715 [0,0,1,1,0,0,0.8,0.888889,0,1,0,0,0,0,1,0,0,0,0.8,0,0,0,0,0] f_measure 0.794203 [0,0,1,1,0,0,0.8,0.8,0,1,0,0.666667,0,0,1,1,0,0,1,0,0,0,0,0] f_measure 0.942029 [0,0,1,1,0,0,1,1,0,1,0,1,0,0,1,0,0,0,1,0.666667,0,1,1,0] f_measure 0.771721 [0,0,0.923077,0.5,0,0,1,0.888889,0,0,0,0.666667,0,0,1,0,0,0,0.8,0,0,1,0,0] f_measure 0.834783 [0,0,1,1,0,0,0.8,1,0,1,0,1,0,0,1,0,0,0,0.8,0,0,0,1,0] f_measure 0.852174 [0,0,1,1,0,0,0.8,1,0,0,0,0,0,0,1,0,0,0,1,0,0,1,1,0] f_measure 0.826087 [0,0,0.909091,0.5,0,0,1,0.909091,0,1,0,0,0,0,1,0,0,0,1,0,0,1,1,0] f_measure 0.854329 [0,0,0.923077,1,0,0,1,0.888889,0,1,0,0,0,0,1,0,0,0,1,0,0,0.666667,1,0] f_measure 0.895652 [0,0,1,1,0,0,1,1,0,0,0,1,0,0,1,1,0,0,0.8,0,0,1,0,0] f_measure 0.752657 [0,0,0.833333,0.8,0,0,1,0.888889,0,1,0,0,0,0,0.666667,0,0,0,0.8,0,0,0,1,0] f_measure 0.768866 [0,0,0.923077,1,0,0,0.8,0.909091,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0] f_measure 0.869126 [0,0,0.909091,1,0,0,1,0.888889,1,0,0,1,0,1,1,1,0,0,0.5,0,0,1,0,0] f_measure 0.794203 [0,0,1,1,0,0,0.8,0.75,0,1,0,0.666667,0,0,1,0,0,0,1,0,0,0,1,0] f_measure 0.766347 [0,0,0.909091,0.857143,0,0,0.8,0.8,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0] f_measure 0.72795 [0,0,0.857143,1,0,0,0.8,0.8,0,0,0,0,0,0,1,0,0,0,0.5,1,0,0,1,0] f_measure 0.712604 [0,0,0.909091,0.4,0,0,0.8,0.888889,0,0,0,0,0,0,1,0,0,0,0.8,1,0,1,0,0] f_measure 0.740803 [0,0,0.923077,1,0,0,0.666667,0.833333,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0] f_measure 0.852174 [0,0,1,1,0,0,1,0.8,0,1,0,1,0,0,1,0,0,0,0.8,0,0,1,1,0] f_measure 0.851735 [0,0,0.909091,1,0,0,0.8,0.888889,0,0,0,0,0,0,1,1,0,0,1,0,0,1,1,0] f_measure 0.790561 [0,0,0.923077,1,0,0,0.8,0.888889,0,1,0,0,0,0,1,1,0,0,0.8,0,0,0,0,0] f_measure 0.786257 [0,0,0.923077,1,0,0,1,0.909091,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0] f_measure 0.726492 [0,0,0.909091,0.857143,0,0,0.8,0.75,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,1,0,0] f_measure 0.801932 [0,0,1,1,0,0,0.666667,0.888889,0,1,0,0.666667,0,0,1,0,0,0,1,0,0,0,1,0] f_measure 0.702899 [0,0,1,0.666667,0,0,0.666667,0.8,0,0,0,0,0,0,1,0,0,1,0.5,0,0,1,0.5,0] f_measure 0.598024 [0,0,0.909091,0.8,0,0,0.8,0.6,0,0,0,0,0,0,0,0,0,0,0.8,0.5,0,0,0,0] f_measure 0.893971 [0,0,0.888889,0.857143,0,0,1,0.909091,0,1,0,0,0,0,1,1,0,0,1,0,0,1,1,0] f_measure 0.644093 [0,0,0.888889,0.666667,0,0,0.666667,0.727273,0,0,0,0,0,0,1,0,0,0,0.8,0,0,0,0,0] f_measure 0.797521 [0,0,0.909091,1,0,0,1,0.8,0,1,0,0,0,0,1,1,0,0,0.5,0,0,1,0,0] f_measure 0.842424 [0,0,1,1,0,0,0.8,0.666667,0,0,0,1,0,0,1,0,0,0,0.8,0,0,1,1,0] f_measure 0.841647 [0,0,0.923077,0.666667,0,0,0.8,0.888889,0,1,0,0,0,0,1,1,0,0,0.8,0,0,0,1,0] f_measure 0.705628 [0,0,0.833333,0.8,0,0,0.8,0.571429,0,0,0,1,0,0,1,0,0,0,0.4,0.666667,0,0,1,0] f_measure 0.842857 [0,0,0.857143,0.8,0,0,1,1,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0] f_measure 0.647107 [0,0,0.8,0.8,0,0,0.5,0.727273,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0] f_measure 0.686157 [0,0,0.909091,0.8,0,0,0.8,0.75,0,0,0,0,0,0,1,0,0,0,0.8,0,0,1,0,0] f_measure 0.795409 [0,0,0.909091,0.5,0,0,1,0.888889,1,0,0,0,0,0,1,0,0,0,0.8,0,0,0,1,0] f_measure 0.939394 [0,0,1,1,0,0,1,1,0,1,0,1,0,0,1,0.666667,0,0,1,0,0,0,1,0] f_measure 0.614358 [0,0,0.888889,0.857143,0,0,0.5,0.5,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] f_measure 0.77686 [0,0,0.909091,0,0,0,0.666667,0.909091,0,1,0,1,0,0,0.666667,1,0,0,1,0,0,0,0,0] f_measure 0.754545 [0,0,1,1,0,0,0.5,0.8,0,1,0,0,0,0,1,0,0,0,0.8,0,0,0,1,0] f_measure 0.78742 [0,0,0.888889,0.666667,0,0,1,0.909091,0,1,0,0,0,0,1,1,0,0,1,0,0,0,0,0] f_measure 0.777778 [0,0,1,1,0,0,0.666667,0.888889,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,0,1,0] f_measure 0.844156 [0,0,1,1,0,0,1,0.666667,0,0,0,0,0,0,1,0,0,0,0.857143,0,0,1,0.666667,0] f_measure 0.71832 [0,0,0.833333,1,0,0,1,0.727273,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,0,0,0] f_measure 0.686869 [0,0,0.666667,1,0,0,1,0.888889,0,1,0,0,0,1,0,0,0,0,0.666667,0,0,0,0,0] f_measure 0.867451 [0,0,0.923077,1,0,0,1,0.909091,0,0,1,0,0,0,1,0,0,0,1,0,0,1,0,0] f_measure 0.811364 [0,0,1,0.666667,0,0,1,0.75,0,1,0,1,0,0,0,0.666667,0,0,0.8,0,0,0,0.5,0] f_measure 0.805051 [0,0,1,1,0,0,0.8,0.888889,0,0,0,0.666667,0,0,1,0,0,0,1,0,0,0,1,0] f_measure 0.864935 [0,0,1,0.666667,0,0,0.8,0.857143,0,1,0,1,0,0,0,1,0,0,1,0,0,0,0.666667,0] f_measure 0.845455 [0,0,1,1,0,0,0.8,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0] f_measure 0.800551 [0,0,0.909091,1,0,0,1,1,0,0,0,0.666667,0,0,1,0,0,0,0.8,0,0,0,1,0] f_measure 0.721763 [0,0,0.833333,0.666667,0,0,1,0.909091,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0] f_measure 0.77397 [0,0,0.923077,1,0,0,0.8,0.888889,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,0,1,0] f_measure 0.66157 [0,0,0.909091,0.8,0,0,0.666667,0.333333,0,1,0,0,0,0,1,1,0,0,0.5,0,0,0,0,0] f_measure 0.651515 [0,0,0.833333,0.8,0,0,1,0.6,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,0,0,0] f_measure 0.700266 [0,0,0.769231,0.8,0,0,0.666667,0.571429,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,1,0.666667,0] f_measure 0.61405 [0,0,0.833333,0.8,0,0,1,0.727273,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0] f_measure 0.839827 [0,0,0.857143,1,0,0,1,1,0,1,0,1,0,0,1,0,0,0,0.666667,0,0,0,1,0] f_measure 0.701732 [0,0,0.833333,0.857143,0,0,0.666667,0.8,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,0,1,0] f_measure 0.760606 [0,0,0.8,0.666667,0,0,1,0.75,0,1,0,0,0,0,1,0,0,0,0.8,1,0,0,1,0] f_measure 0.713636 [0,0,1,1,0,0,0.666667,0.8,0,0,0,0.666667,0,0,0,0,0,0,1,0.5,0,0,0,0] f_measure 0.818182 [0,0,1,1,0,0,0.8,0.75,0,0,0,0,0,0,0,1,0,0,0.8,0,0,1,1,0] f_measure 0.764384 [0,0,0.909091,0.8,0,0,0.666667,0.857143,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0] f_measure 0.840178 [0,0,0.923077,0.8,0,0,1,0.909091,0,0,0,0,0,0,1,1,0,0,1,0,0,0,0,0] f_measure 0.744805 [0,0,1,1,0,0,0.8,0.571429,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0] f_measure 0.903263 [0,0,0.923077,0.666667,0,0,1,1,0,1,0,0,0,0,1,1,0,0,1,0,0,1,0,0] f_measure 0.830303 [0,0,1,1,0,0,0.8,0.75,0,1,0,1,0,0,0.666667,0,0,0,1,0,0,0,0,0] f_measure 0.839827 [0,0,0.857143,1,0,0,1,1,0,1,0,1,0,0,1,0,0,0,0.666667,0,0,0,1,0] kappa 0.793258 kappa 0.791855 kappa 0.689189 kappa 0.900433 kappa 0.741573 kappa 0.844595 kappa 0.948775 kappa 0.8 kappa 0.701944 kappa 0.847345 kappa 0.651515 kappa 0.639013 kappa 0.793722 kappa 0.802151 kappa 0.744444 kappa 0.798246 kappa 0.948775 kappa 0.747807 kappa 0.792325 kappa 0.847007 kappa 0.742729 kappa 0.742152 kappa 0.795556 kappa 0.695364 kappa 0.751082 kappa 0.798687 kappa 0.898455 kappa 0.796009 kappa 0.690583 kappa 0.793258 kappa 0.796009 kappa 0.640625 kappa 0.849015 kappa 0.747253 kappa 0.8 kappa 0.949782 kappa 0.744444 kappa 0.849673 kappa 0.847007 kappa 0.796909 kappa 0.846667 kappa 0.897778 kappa 0.746137 kappa 0.791383 kappa 0.850325 kappa 0.798687 kappa 0.744444 kappa 0.738041 kappa 0.69869 kappa 0.738636 kappa 0.85 kappa 0.848684 kappa 0.794183 kappa 0.791855 kappa 0.697368 kappa 0.801296 kappa 0.653017 kappa 0.593819 kappa 0.898678 kappa 0.594714 kappa 0.786925 kappa 0.84058 kappa 0.836634 kappa 0.681928 kappa 0.831202 kappa 0.626214 kappa 0.684964 kappa 0.736211 kappa 0.947115 kappa 0.576923 kappa 0.784314 kappa 0.736211 kappa 0.787952 kappa 0.73236 kappa 0.836634 kappa 0.725 kappa 0.678832 kappa 0.889169 kappa 0.78744 kappa 0.790974 kappa 0.84058 kappa 0.840964 kappa 0.789976 kappa 0.725686 kappa 0.783784 kappa 0.630695 kappa 0.623472 kappa 0.678832 kappa 0.622549 kappa 0.837438 kappa 0.674877 kappa 0.739336 kappa 0.73494 kappa 0.786408 kappa 0.738717 kappa 0.833333 kappa 0.730392 kappa 0.890819 kappa 0.838631 kappa 0.837438 kb_relative_information_score 16.176391 kb_relative_information_score 16.197024 kb_relative_information_score 14.020441 kb_relative_information_score 19.216968 kb_relative_information_score 16.527298 kb_relative_information_score 17.268209 kb_relative_information_score 18.740368 kb_relative_information_score 18.346669 kb_relative_information_score 16.403013 kb_relative_information_score 18.372868 kb_relative_information_score 14.455442 kb_relative_information_score 15.941471 kb_relative_information_score 17.088313 kb_relative_information_score 17.687525 kb_relative_information_score 16.12148 kb_relative_information_score 17.318462 kb_relative_information_score 18.814534 kb_relative_information_score 16.582969 kb_relative_information_score 16.260115 kb_relative_information_score 16.153521 kb_relative_information_score 15.125199 kb_relative_information_score 16.146539 kb_relative_information_score 15.745995 kb_relative_information_score 16.237867 kb_relative_information_score 17.733176 kb_relative_information_score 17.91134 kb_relative_information_score 18.421685 kb_relative_information_score 17.126038 kb_relative_information_score 14.457547 kb_relative_information_score 17.917493 kb_relative_information_score 16.633353 kb_relative_information_score 14.880352 kb_relative_information_score 17.398904 kb_relative_information_score 17.764659 kb_relative_information_score 18.973508 kb_relative_information_score 19.579145 kb_relative_information_score 16.628995 kb_relative_information_score 17.878513 kb_relative_information_score 17.645704 kb_relative_information_score 16.265735 kb_relative_information_score 17.325917 kb_relative_information_score 17.621207 kb_relative_information_score 15.456089 kb_relative_information_score 16.820921 kb_relative_information_score 17.786209 kb_relative_information_score 17.811388 kb_relative_information_score 16.567583 kb_relative_information_score 14.765923 kb_relative_information_score 15.134181 kb_relative_information_score 16.193543 kb_relative_information_score 16.921956 kb_relative_information_score 17.406337 kb_relative_information_score 16.053099 kb_relative_information_score 15.415558 kb_relative_information_score 15.784252 kb_relative_information_score 18.457723 kb_relative_information_score 14.576921 kb_relative_information_score 14.039933 kb_relative_information_score 18.244256 kb_relative_information_score 13.263589 kb_relative_information_score 16.187351 kb_relative_information_score 15.836545 kb_relative_information_score 16.801972 kb_relative_information_score 14.208154 kb_relative_information_score 14.282215 kb_relative_information_score 14.239264 kb_relative_information_score 15.797077 kb_relative_information_score 15.073408 kb_relative_information_score 19.070612 kb_relative_information_score 12.699374 kb_relative_information_score 16.82882 kb_relative_information_score 16.89751 kb_relative_information_score 14.919405 kb_relative_information_score 14.711829 kb_relative_information_score 14.700652 kb_relative_information_score 13.905228 kb_relative_information_score 15.547377 kb_relative_information_score 15.785449 kb_relative_information_score 15.768599 kb_relative_information_score 16.232092 kb_relative_information_score 17.237963 kb_relative_information_score 16.519586 kb_relative_information_score 16.624154 kb_relative_information_score 12.969834 kb_relative_information_score 15.973178 kb_relative_information_score 13.018762 kb_relative_information_score 13.78124 kb_relative_information_score 14.399006 kb_relative_information_score 12.544583 kb_relative_information_score 17.108167 kb_relative_information_score 14.642303 kb_relative_information_score 14.263298 kb_relative_information_score 16.041833 kb_relative_information_score 16.080138 kb_relative_information_score 16.871507 kb_relative_information_score 13.964558 kb_relative_information_score 13.571275 kb_relative_information_score 18.075933 kb_relative_information_score 16.265577 kb_relative_information_score 17.576035 mean_absolute_error 0.023332 mean_absolute_error 0.022835 mean_absolute_error 0.029708 mean_absolute_error 0.0184 mean_absolute_error 0.024666 mean_absolute_error 0.020883 mean_absolute_error 0.013971 mean_absolute_error 0.020117 mean_absolute_error 0.027358 mean_absolute_error 0.01767 mean_absolute_error 0.03698 mean_absolute_error 0.02573 mean_absolute_error 0.020281 mean_absolute_error 0.022695 mean_absolute_error 0.023072 mean_absolute_error 0.024382 mean_absolute_error 0.016554 mean_absolute_error 0.021344 mean_absolute_error 0.024261 mean_absolute_error 0.021998 mean_absolute_error 0.026415 mean_absolute_error 0.024346 mean_absolute_error 0.022711 mean_absolute_error 0.026568 mean_absolute_error 0.023036 mean_absolute_error 0.021061 mean_absolute_error 0.018456 mean_absolute_error 0.022243 mean_absolute_error 0.027851 mean_absolute_error 0.0195 mean_absolute_error 0.021414 mean_absolute_error 0.028227 mean_absolute_error 0.022657 mean_absolute_error 0.022939 mean_absolute_error 0.021798 mean_absolute_error 0.016592 mean_absolute_error 0.026045 mean_absolute_error 0.023123 mean_absolute_error 0.023288 mean_absolute_error 0.022432 mean_absolute_error 0.0194 mean_absolute_error 0.020135 mean_absolute_error 0.027938 mean_absolute_error 0.022159 mean_absolute_error 0.023365 mean_absolute_error 0.021662 mean_absolute_error 0.023401 mean_absolute_error 0.02718 mean_absolute_error 0.028645 mean_absolute_error 0.023334 mean_absolute_error 0.024425 mean_absolute_error 0.020162 mean_absolute_error 0.024315 mean_absolute_error 0.02252 mean_absolute_error 0.025778 mean_absolute_error 0.022691 mean_absolute_error 0.03384 mean_absolute_error 0.035028 mean_absolute_error 0.016357 mean_absolute_error 0.033465 mean_absolute_error 0.021033 mean_absolute_error 0.022194 mean_absolute_error 0.018448 mean_absolute_error 0.031381 mean_absolute_error 0.021632 mean_absolute_error 0.03267 mean_absolute_error 0.027509 mean_absolute_error 0.027043 mean_absolute_error 0.013963 mean_absolute_error 0.033889 mean_absolute_error 0.021385 mean_absolute_error 0.022813 mean_absolute_error 0.024592 mean_absolute_error 0.023376 mean_absolute_error 0.022606 mean_absolute_error 0.024524 mean_absolute_error 0.027124 mean_absolute_error 0.019772 mean_absolute_error 0.026604 mean_absolute_error 0.02671 mean_absolute_error 0.020154 mean_absolute_error 0.021067 mean_absolute_error 0.024158 mean_absolute_error 0.027428 mean_absolute_error 0.020993 mean_absolute_error 0.030759 mean_absolute_error 0.02909 mean_absolute_error 0.028764 mean_absolute_error 0.031304 mean_absolute_error 0.022275 mean_absolute_error 0.025988 mean_absolute_error 0.031228 mean_absolute_error 0.028045 mean_absolute_error 0.020939 mean_absolute_error 0.023817 mean_absolute_error 0.022425 mean_absolute_error 0.025249 mean_absolute_error 0.01447 mean_absolute_error 0.021093 mean_absolute_error 0.018906 mean_prior_absolute_error 0.072029 mean_prior_absolute_error 0.072261 mean_prior_absolute_error 0.072362 mean_prior_absolute_error 0.07313 mean_prior_absolute_error 0.072261 mean_prior_absolute_error 0.072014 mean_prior_absolute_error 0.071957 mean_prior_absolute_error 0.072681 mean_prior_absolute_error 0.07229 mean_prior_absolute_error 0.072217 mean_prior_absolute_error 0.072319 mean_prior_absolute_error 0.07229 mean_prior_absolute_error 0.072087 mean_prior_absolute_error 0.072754 mean_prior_absolute_error 0.072261 mean_prior_absolute_error 0.072435 mean_prior_absolute_error 0.072246 mean_prior_absolute_error 0.073145 mean_prior_absolute_error 0.072333 mean_prior_absolute_error 0.072261 mean_prior_absolute_error 0.072333 mean_prior_absolute_error 0.072 mean_prior_absolute_error 0.071971 mean_prior_absolute_error 0.073174 mean_prior_absolute_error 0.073043 mean_prior_absolute_error 0.07229 mean_prior_absolute_error 0.072246 mean_prior_absolute_error 0.072783 mean_prior_absolute_error 0.072304 mean_prior_absolute_error 0.072246 mean_prior_absolute_error 0.072275 mean_prior_absolute_error 0.072188 mean_prior_absolute_error 0.072261 mean_prior_absolute_error 0.072377 mean_prior_absolute_error 0.073043 mean_prior_absolute_error 0.07287 mean_prior_absolute_error 0.072087 mean_prior_absolute_error 0.073072 mean_prior_absolute_error 0.07229 mean_prior_absolute_error 0.072275 mean_prior_absolute_error 0.072275 mean_prior_absolute_error 0.072377 mean_prior_absolute_error 0.072304 mean_prior_absolute_error 0.07229 mean_prior_absolute_error 0.073174 mean_prior_absolute_error 0.072899 mean_prior_absolute_error 0.072116 mean_prior_absolute_error 0.072333 mean_prior_absolute_error 0.072812 mean_prior_absolute_error 0.072333 mean_prior_absolute_error 0.073043 mean_prior_absolute_error 0.072797 mean_prior_absolute_error 0.07229 mean_prior_absolute_error 0.072275 mean_prior_absolute_error 0.072101 mean_prior_absolute_error 0.073029 mean_prior_absolute_error 0.073101 mean_prior_absolute_error 0.072435 mean_prior_absolute_error 0.072768 mean_prior_absolute_error 0.072638 mean_prior_absolute_error 0.072682 mean_prior_absolute_error 0.072379 mean_prior_absolute_error 0.071818 mean_prior_absolute_error 0.071833 mean_prior_absolute_error 0.071379 mean_prior_absolute_error 0.072636 mean_prior_absolute_error 0.072667 mean_prior_absolute_error 0.071864 mean_prior_absolute_error 0.072621 mean_prior_absolute_error 0.072303 mean_prior_absolute_error 0.072409 mean_prior_absolute_error 0.072636 mean_prior_absolute_error 0.072636 mean_prior_absolute_error 0.071833 mean_prior_absolute_error 0.071576 mean_prior_absolute_error 0.072379 mean_prior_absolute_error 0.072758 mean_prior_absolute_error 0.071833 mean_prior_absolute_error 0.071894 mean_prior_absolute_error 0.072667 mean_prior_absolute_error 0.072288 mean_prior_absolute_error 0.0725 mean_prior_absolute_error 0.073061 mean_prior_absolute_error 0.071848 mean_prior_absolute_error 0.072515 mean_prior_absolute_error 0.071621 mean_prior_absolute_error 0.072515 mean_prior_absolute_error 0.071803 mean_prior_absolute_error 0.072303 mean_prior_absolute_error 0.0725 mean_prior_absolute_error 0.072273 mean_prior_absolute_error 0.072515 mean_prior_absolute_error 0.073182 mean_prior_absolute_error 0.072333 mean_prior_absolute_error 0.0725 mean_prior_absolute_error 0.071697 mean_prior_absolute_error 0.072258 mean_prior_absolute_error 0.071879 mean_prior_absolute_error 0.072288 mean_prior_absolute_error 0.0725 number_of_instances 23 [0,0,6,3,0,1,2,5,0,0,0,0,0,0,1,0,0,1,2,1,0,0,1,0] number_of_instances 23 [0,0,6,2,0,0,2,5,1,1,0,0,1,0,1,0,0,0,2,1,0,0,1,0] number_of_instances 23 [1,0,6,2,0,0,2,5,0,0,0,1,0,0,1,0,0,1,2,1,0,1,0,0] number_of_instances 23 [0,0,5,3,0,0,2,4,0,1,1,0,0,0,1,1,0,0,3,0,0,1,1,0] 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[0,0,1,1,0,0,0.666667,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0] precision 0.80303 [0,0,0.833333,1,0,0,1,1,0,0,0,0.5,0,0,1,0,0,0,1,0,0,0,1,0] precision 0.689394 [0,0,0.833333,0.5,0,0,1,0.833333,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0] precision 0.758009 [0,0,0.857143,1,0,0,0.666667,0.8,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0] precision 0.79697 [0,0,1,0.666667,0,0,0.5,1,0,1,0,0,0,0,1,1,0,0,0.4,0,0,0,0,0] precision 0.651515 [0,0,0.833333,0.666667,0,0,1,0.5,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0] precision 0.778139 [0,0,0.714286,0.666667,0,0,0.5,1,0,1,0,0,0,0,1,0,0,0,1,0,0,1,0.5,0] precision 0.573593 [0,0,0.833333,0.666667,0,0,1,0.571429,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0] precision 0.840909 [0,0,0.75,1,0,0,1,1,0,1,0,1,0,0,1,0,0,0,1,0,0,0,1,0] precision 0.723485 [0,0,0.833333,0.75,0,0,1,0.666667,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0] precision 0.787879 [0,0,1,0.5,0,0,1,0.75,0,1,0,0,0,0,1,0,0,0,0.666667,1,0,0,1,0] precision 0.704545 [0,0,1,1,0,0,1,0.666667,0,0,0,0.5,0,0,0,0,0,0,1,0.333333,0,0,0,0] precision 0.833333 [0,0,1,1,0,0,0.666667,0.75,0,0,0,0,0,0,0,1,0,0,1,0,0,1,1,0] precision 0.787879 [0,0,1,0.666667,0,0,0.5,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0] precision 0.832251 [0,0,0.857143,1,0,0,1,0.833333,0,0,0,0,0,0,1,1,0,0,1,0,0,0,0,0] precision 0.736364 [0,0,1,1,0,0,0.666667,0.666667,0,1,0,0,0,0,1,0,0,0,0.4,0,0,0,1,0] precision 0.915584 [0,0,0.857143,1,0,0,1,1,0,1,0,0,0,0,1,1,0,0,1,0,0,1,0,0] precision 0.810606 [0,0,1,1,0,0,0.666667,0.75,0,1,0,1,0,0,0.5,0,0,0,1,0,0,0,0,0] precision 0.840909 [0,0,0.75,1,0,0,1,1,0,1,0,1,0,0,1,0,0,0,1,0,0,0,1,0] predictive_accuracy 0.826087 predictive_accuracy 0.826087 predictive_accuracy 0.73913 predictive_accuracy 0.913043 predictive_accuracy 0.782609 predictive_accuracy 0.869565 predictive_accuracy 0.956522 predictive_accuracy 0.826087 predictive_accuracy 0.73913 predictive_accuracy 0.869565 predictive_accuracy 0.695652 predictive_accuracy 0.695652 predictive_accuracy 0.826087 predictive_accuracy 0.826087 predictive_accuracy 0.782609 predictive_accuracy 0.826087 predictive_accuracy 0.956522 predictive_accuracy 0.782609 predictive_accuracy 0.826087 predictive_accuracy 0.869565 predictive_accuracy 0.782609 predictive_accuracy 0.782609 predictive_accuracy 0.826087 predictive_accuracy 0.73913 predictive_accuracy 0.782609 predictive_accuracy 0.826087 predictive_accuracy 0.913043 predictive_accuracy 0.826087 predictive_accuracy 0.73913 predictive_accuracy 0.826087 predictive_accuracy 0.826087 predictive_accuracy 0.695652 predictive_accuracy 0.869565 predictive_accuracy 0.782609 predictive_accuracy 0.826087 predictive_accuracy 0.956522 predictive_accuracy 0.782609 predictive_accuracy 0.869565 predictive_accuracy 0.869565 predictive_accuracy 0.826087 predictive_accuracy 0.869565 predictive_accuracy 0.913043 predictive_accuracy 0.782609 predictive_accuracy 0.826087 predictive_accuracy 0.869565 predictive_accuracy 0.826087 predictive_accuracy 0.782609 predictive_accuracy 0.782609 predictive_accuracy 0.73913 predictive_accuracy 0.782609 predictive_accuracy 0.869565 predictive_accuracy 0.869565 predictive_accuracy 0.826087 predictive_accuracy 0.826087 predictive_accuracy 0.73913 predictive_accuracy 0.826087 predictive_accuracy 0.695652 predictive_accuracy 0.652174 predictive_accuracy 0.913043 predictive_accuracy 0.652174 predictive_accuracy 0.818182 predictive_accuracy 0.863636 predictive_accuracy 0.863636 predictive_accuracy 0.727273 predictive_accuracy 0.863636 predictive_accuracy 0.681818 predictive_accuracy 0.727273 predictive_accuracy 0.772727 predictive_accuracy 0.954545 predictive_accuracy 0.636364 predictive_accuracy 0.818182 predictive_accuracy 0.772727 predictive_accuracy 0.818182 predictive_accuracy 0.772727 predictive_accuracy 0.863636 predictive_accuracy 0.772727 predictive_accuracy 0.727273 predictive_accuracy 0.909091 predictive_accuracy 0.818182 predictive_accuracy 0.818182 predictive_accuracy 0.863636 predictive_accuracy 0.863636 predictive_accuracy 0.818182 predictive_accuracy 0.772727 predictive_accuracy 0.818182 predictive_accuracy 0.681818 predictive_accuracy 0.681818 predictive_accuracy 0.727273 predictive_accuracy 0.681818 predictive_accuracy 0.863636 predictive_accuracy 0.727273 predictive_accuracy 0.772727 predictive_accuracy 0.772727 predictive_accuracy 0.818182 predictive_accuracy 0.772727 predictive_accuracy 0.863636 predictive_accuracy 0.772727 predictive_accuracy 0.909091 predictive_accuracy 0.863636 predictive_accuracy 0.863636 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 recall 0.826087 [0,0,1,1,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0] recall 0.826087 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0] recall 0.73913 [0,0,0.833333,1,0,0,1,1,0,0,0,0,0,0,1,0,0,0,0.5,0,0,1,0,0] recall 0.913043 [0,0,1,1,0,0,1,0.75,0,1,0,0,0,0,1,1,0,0,1,0,0,1,1,0] recall 0.782609 [0,0,1,0,0,0,1,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0] recall 0.869565 [0,0,1,0.666667,0,0,1,0.8,0,0,1,0,0,0,1,1,0,0,1,0,0,1,0,0] recall 0.956522 [0,0,1,1,0,0,1,0.8,0,1,0,1,0,0,1,1,0,0,1,0,0,0,1,0] recall 0.826087 [0,0,1,1,0,0,1,0.5,0,1,0,0,0,0,1,1,0,0,1,0,0,1,0,0] recall 0.73913 [0,0,0.833333,1,0,0,1,0.6,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0] recall 0.869565 [0,0,1,1,0,0,1,0.6,0,1,0,1,0,0,1,1,0,0,1,0,0,1,0,0] recall 0.695652 [0,0,0.833333,1,0,0,1,0.6,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0] recall 0.695652 [0,0,1,0.5,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,0,0,0,0,1,0] recall 0.826087 [0,0,1,1,0,0,1,0.8,0,0,0,1,0,0,1,0,0,0,0.5,0,0,1,0,0] recall 0.826087 [0,0,0.8,0.666667,0,0,1,0.8,0,1,0,0,0,0,1,1,0,0,1,0,0,1,1,0] recall 0.782609 [0,0,0.833333,1,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0] recall 0.826087 [0,0,1,1,0,0,1,0.8,0,0,1,0,0,0,0,0,0,0,1,0,0,1,1,0] recall 0.956522 [0,0,1,1,0,0,1,1,0,1,0,1,0,0,1,1,0,0,1,0,0,0,1,0] recall 0.782609 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,1,0,0,0.333333,0,0,0,0,0] recall 0.826087 [0,0,1,1,0,0,1,1,0,0,0,0,0,0,1,0,0,0,0.5,1,0,0,1,0] recall 0.869565 [0,0,1,1,0,0,1,0.8,0,1,0,0,0,0,1,1,0,0,1,0,0,1,0,0] recall 0.782609 [0,0,1,1,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,1,1,0,0,0,0] recall 0.782609 [0,0,0.833333,1,0,0,0.5,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0] recall 0.826087 [0,0,1,0.333333,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,1,0,0,1,1,0] recall 0.73913 [0,0,1,0.5,0,0,0.5,1,0,1,0,0,0,0,1,0,0,0,1,0,0,1,0,0] recall 0.782609 [0,0,1,1,0,0,1,0.8,0,1,0,1,0,0,1,1,0,0,0.5,0,0,0,0,0] recall 0.826087 [0,0,0.833333,1,0,0,1,1,0,0,0,0,0,0,1,0,0,0,1,0,0,1,1,0] recall 0.913043 [0,0,0.833333,1,0,0,1,1,0,1,0,1,0,0,1,1,0,0,1,0,0,0,1,0] recall 0.826087 [0,0,1,0.5,0,0,0.5,1,0,1,0,1,0,0,1,0,0,0,1,0,0,0,1,0] recall 0.73913 [0,0,1,1,0,0,1,0.6,0,0,0,0,0,0,1,0,0,0,0.5,0,0,1,1,0] recall 0.826087 [0,0,1,1,0,0,1,0.8,0,1,0,0,0,0,1,1,0,0,0.5,0,0,1,0,0] recall 0.826087 [0,0,0.833333,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0.5,0,0,1,1,0] recall 0.695652 [0,0,1,1,0,0,1,0.6,0,0,0,0,0,0,0,1,0,0,0.333333,0,0,1,0,0] recall 0.869565 [0,0,1,1,0,0,1,0.6,0,1,1,0,0,0,1,0,0,0,1,0,0,1,1,0] recall 0.782609 [0,0,1,1,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0] recall 0.826087 [0,0,1,1,0,0,1,0.8,0,1,0,1,0,0,1,1,0,0,1,0,0,0,0,0] recall 0.956522 [0,0,1,1,0,0,1,1,0,1,0,1,0,0,1,0,0,0,1,1,0,1,1,0] recall 0.782609 [0,0,1,0.333333,0,0,1,0.8,0,0,0,1,0,0,1,0,0,0,1,0,0,1,0,0] recall 0.869565 [0,0,1,1,0,0,1,1,0,1,0,1,0,0,1,0,0,0,1,0,0,0,1,0] recall 0.869565 [0,0,1,1,0,0,1,1,0,0,0,0,0,0,1,0,0,0,1,0,0,1,1,0] recall 0.826087 [0,0,0.833333,0.5,0,0,1,1,0,1,0,0,0,0,1,0,0,0,1,0,0,1,1,0] recall 0.869565 [0,0,1,1,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,1,0,0,1,1,0] recall 0.913043 [0,0,1,1,0,0,1,1,0,0,0,1,0,0,1,1,0,0,1,0,0,1,0,0] recall 0.782609 [0,0,0.833333,1,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0] recall 0.826087 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0] recall 0.869565 [0,0,1,1,0,0,1,0.8,1,0,0,1,0,1,1,1,0,0,0.5,0,0,1,0,0] recall 0.826087 [0,0,1,1,0,0,1,0.75,0,1,0,1,0,0,1,0,0,0,1,0,0,0,1,0] recall 0.782609 [0,0,0.833333,1,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0] recall 0.782609 [0,0,1,1,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,0.5,1,0,0,1,0] recall 0.73913 [0,0,1,0.333333,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,1,1,0,1,0,0] recall 0.782609 [0,0,1,1,0,0,0.5,1,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0] recall 0.869565 [0,0,1,1,0,0,1,0.8,0,1,0,1,0,0,1,0,0,0,1,0,0,1,1,0] recall 0.869565 [0,0,1,1,0,0,1,0.8,0,0,0,0,0,0,1,1,0,0,1,0,0,1,1,0] recall 0.826087 [0,0,1,1,0,0,1,0.8,0,1,0,0,0,0,1,1,0,0,1,0,0,0,0,0] recall 0.826087 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0] recall 0.73913 [0,0,0.833333,1,0,0,1,0.6,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0] recall 0.826087 [0,0,1,1,0,0,1,0.8,0,1,0,1,0,0,1,0,0,0,1,0,0,0,1,0] recall 0.695652 [0,0,1,0.5,0,0,0.5,0.8,0,0,0,0,0,0,1,0,0,1,0.5,0,0,1,1,0] recall 0.652174 [0,0,0.833333,1,0,0,1,0.6,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0] recall 0.913043 [0,0,0.8,1,0,0,1,1,0,1,0,0,0,0,1,1,0,0,1,0,0,1,1,0] recall 0.652174 [0,0,0.8,0.666667,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,0,0,0] recall 0.818182 [0,0,1,1,0,0,1,0.8,0,1,0,0,0,0,1,1,0,0,0.5,0,0,1,0,0] recall 0.863636 [0,0,1,1,0,0,1,0.6,0,0,0,1,0,0,1,0,0,0,1,0,0,1,1,0] recall 0.863636 [0,0,1,0.5,0,0,1,0.8,0,1,0,0,0,0,1,1,0,0,1,0,0,0,1,0] recall 0.727273 [0,0,0.833333,1,0,0,1,0.4,0,0,0,1,0,0,1,0,0,0,0.5,1,0,0,1,0] recall 0.863636 [0,0,1,0.666667,0,0,1,1,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0] recall 0.681818 [0,0,0.8,1,0,0,0.5,0.8,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0] recall 0.727273 [0,0,1,1,0,0,1,0.6,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0] recall 0.772727 [0,0,0.833333,0.5,0,0,1,0.8,1,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0] recall 0.954545 [0,0,1,1,0,0,1,1,0,1,0,1,0,0,1,1,0,0,1,0,0,0,1,0] recall 0.636364 [0,0,0.8,1,0,0,1,0.4,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.818182 [0,0,1,0,0,0,0.5,1,0,1,0,1,0,0,1,1,0,0,1,0,0,0,0,0] recall 0.772727 [0,0,1,1,0,0,0.5,0.8,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0] recall 0.818182 [0,0,0.8,1,0,0,1,1,0,1,0,0,0,0,1,1,0,0,1,0,0,0,0,0] recall 0.772727 [0,0,1,1,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0] recall 0.863636 [0,0,1,1,0,0,1,0.6,0,0,0,0,0,0,1,0,0,0,1,0,0,1,1,0] recall 0.772727 [0,0,1,1,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,0,0,0] recall 0.727273 [0,0,0.8,1,0,0,1,0.8,0,1,0,0,0,1,0,0,0,0,1,0,0,0,0,0] recall 0.909091 [0,0,1,1,0,0,1,1,0,0,1,0,0,0,1,0,0,0,1,0,0,1,0,0] recall 0.818182 [0,0,1,0.5,0,0,1,0.6,0,1,0,1,0,0,0,1,0,0,1,0,0,0,1,0] recall 0.818182 [0,0,1,1,0,0,1,0.8,0,0,0,1,0,0,1,0,0,0,1,0,0,0,1,0] recall 0.863636 [0,0,1,0.5,0,0,1,0.75,0,1,0,1,0,0,0,1,0,0,1,0,0,0,1,0] recall 0.863636 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0] recall 0.818182 [0,0,1,1,0,0,1,1,0,0,0,1,0,0,1,0,0,0,0.666667,0,0,0,1,0] recall 0.772727 [0,0,0.833333,1,0,0,1,1,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0] recall 0.818182 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0] recall 0.681818 [0,0,0.833333,1,0,0,1,0.2,0,1,0,0,0,0,1,1,0,0,0.666667,0,0,0,0,0] recall 0.681818 [0,0,0.833333,1,0,0,1,0.75,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,0,0] recall 0.727273 [0,0,0.833333,1,0,0,1,0.4,0,1,0,0,0,0,1,0,0,0,0.5,0,0,1,1,0] recall 0.681818 [0,0,0.833333,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0] recall 0.863636 [0,0,1,1,0,0,1,1,0,1,0,1,0,0,1,0,0,0,0.5,0,0,0,1,0] recall 0.727273 [0,0,0.833333,1,0,0,0.5,1,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0] recall 0.772727 [0,0,0.666667,1,0,0,1,0.75,0,1,0,0,0,0,1,0,0,0,1,1,0,0,1,0] recall 0.772727 [0,0,1,1,0,0,0.5,1,0,0,0,1,0,0,0,0,0,0,1,1,0,0,0,0] recall 0.818182 [0,0,1,1,0,0,1,0.75,0,0,0,0,0,0,0,1,0,0,0.666667,0,0,1,1,0] recall 0.772727 [0,0,0.833333,1,0,0,1,0.75,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0] recall 0.863636 [0,0,1,0.666667,0,0,1,1,0,0,0,0,0,0,1,1,0,0,1,0,0,0,0,0] recall 0.772727 [0,0,1,1,0,0,1,0.5,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,0,1,0] recall 0.909091 [0,0,1,0.5,0,0,1,1,0,1,0,0,0,0,1,1,0,0,1,0,0,1,0,0] recall 0.863636 [0,0,1,1,0,0,1,0.75,0,1,0,1,0,0,1,0,0,0,1,0,0,0,0,0] recall 0.863636 [0,0,1,1,0,0,1,1,0,1,0,1,0,0,1,0,0,0,0.5,0,0,0,1,0] relative_absolute_error 0.323926 relative_absolute_error 0.316009 relative_absolute_error 0.410543 relative_absolute_error 0.251606 relative_absolute_error 0.341353 relative_absolute_error 0.289989 relative_absolute_error 0.194153 relative_absolute_error 0.27679 relative_absolute_error 0.378443 relative_absolute_error 0.244671 relative_absolute_error 0.511347 relative_absolute_error 0.355924 relative_absolute_error 0.28134 relative_absolute_error 0.31195 relative_absolute_error 0.31929 relative_absolute_error 0.336601 relative_absolute_error 0.22913 relative_absolute_error 0.291807 relative_absolute_error 0.335409 relative_absolute_error 0.30442 relative_absolute_error 0.365179 relative_absolute_error 0.338133 relative_absolute_error 0.315564 relative_absolute_error 0.363084 relative_absolute_error 0.315368 relative_absolute_error 0.291337 relative_absolute_error 0.255452 relative_absolute_error 0.305608 relative_absolute_error 0.385196 relative_absolute_error 0.269906 relative_absolute_error 0.296279 relative_absolute_error 0.39102 relative_absolute_error 0.313541 relative_absolute_error 0.31694 relative_absolute_error 0.298427 relative_absolute_error 0.227699 relative_absolute_error 0.361301 relative_absolute_error 0.316445 relative_absolute_error 0.322154 relative_absolute_error 0.310371 relative_absolute_error 0.268414 relative_absolute_error 0.278203 relative_absolute_error 0.386391 relative_absolute_error 0.306524 relative_absolute_error 0.319311 relative_absolute_error 0.297148 relative_absolute_error 0.324487 relative_absolute_error 0.375756 relative_absolute_error 0.393414 relative_absolute_error 0.322593 relative_absolute_error 0.33439 relative_absolute_error 0.276961 relative_absolute_error 0.336347 relative_absolute_error 0.311593 relative_absolute_error 0.357524 relative_absolute_error 0.310713 relative_absolute_error 0.462916 relative_absolute_error 0.483582 relative_absolute_error 0.224786 relative_absolute_error 0.460708 relative_absolute_error 0.289384 relative_absolute_error 0.306638 relative_absolute_error 0.256875 relative_absolute_error 0.43686 relative_absolute_error 0.303065 relative_absolute_error 0.449775 relative_absolute_error 0.378569 relative_absolute_error 0.376312 relative_absolute_error 0.192276 relative_absolute_error 0.468701 relative_absolute_error 0.295335 relative_absolute_error 0.314077 relative_absolute_error 0.338567 relative_absolute_error 0.325414 relative_absolute_error 0.31583 relative_absolute_error 0.338826 relative_absolute_error 0.372799 relative_absolute_error 0.275242 relative_absolute_error 0.37004 relative_absolute_error 0.367564 relative_absolute_error 0.278805 relative_absolute_error 0.290581 relative_absolute_error 0.330653 relative_absolute_error 0.381748 relative_absolute_error 0.289505 relative_absolute_error 0.429461 relative_absolute_error 0.401151 relative_absolute_error 0.400599 relative_absolute_error 0.432957 relative_absolute_error 0.30724 relative_absolute_error 0.359581 relative_absolute_error 0.430642 relative_absolute_error 0.383224 relative_absolute_error 0.289479 relative_absolute_error 0.328513 relative_absolute_error 0.312774 relative_absolute_error 0.349429 relative_absolute_error 0.201315 relative_absolute_error 0.29179 relative_absolute_error 0.260771 root_mean_prior_squared_error 0.188346 root_mean_prior_squared_error 0.188961 root_mean_prior_squared_error 0.189229 root_mean_prior_squared_error 0.191248 root_mean_prior_squared_error 0.188961 root_mean_prior_squared_error 0.188308 root_mean_prior_squared_error 0.188154 root_mean_prior_squared_error 0.19007 root_mean_prior_squared_error 0.189038 root_mean_prior_squared_error 0.188846 root_mean_prior_squared_error 0.189114 root_mean_prior_squared_error 0.189038 root_mean_prior_squared_error 0.1885 root_mean_prior_squared_error 0.19026 root_mean_prior_squared_error 0.188961 root_mean_prior_squared_error 0.18942 root_mean_prior_squared_error 0.188922 root_mean_prior_squared_error 0.191286 root_mean_prior_squared_error 0.189152 root_mean_prior_squared_error 0.188961 root_mean_prior_squared_error 0.189152 root_mean_prior_squared_error 0.188269 root_mean_prior_squared_error 0.188192 root_mean_prior_squared_error 0.191362 root_mean_prior_squared_error 0.19102 root_mean_prior_squared_error 0.189038 root_mean_prior_squared_error 0.188922 root_mean_prior_squared_error 0.190336 root_mean_prior_squared_error 0.189076 root_mean_prior_squared_error 0.188922 root_mean_prior_squared_error 0.188999 root_mean_prior_squared_error 0.188769 root_mean_prior_squared_error 0.188961 root_mean_prior_squared_error 0.189267 root_mean_prior_squared_error 0.19102 root_mean_prior_squared_error 0.190565 root_mean_prior_squared_error 0.1885 root_mean_prior_squared_error 0.191096 root_mean_prior_squared_error 0.189038 root_mean_prior_squared_error 0.188999 root_mean_prior_squared_error 0.188999 root_mean_prior_squared_error 0.189267 root_mean_prior_squared_error 0.189076 root_mean_prior_squared_error 0.189038 root_mean_prior_squared_error 0.191362 root_mean_prior_squared_error 0.190641 root_mean_prior_squared_error 0.188577 root_mean_prior_squared_error 0.189152 root_mean_prior_squared_error 0.190413 root_mean_prior_squared_error 0.189152 root_mean_prior_squared_error 0.19102 root_mean_prior_squared_error 0.190374 root_mean_prior_squared_error 0.189038 root_mean_prior_squared_error 0.188999 root_mean_prior_squared_error 0.188539 root_mean_prior_squared_error 0.190983 root_mean_prior_squared_error 0.191172 root_mean_prior_squared_error 0.18942 root_mean_prior_squared_error 0.190298 root_mean_prior_squared_error 0.189955 root_mean_prior_squared_error 0.190071 root_mean_prior_squared_error 0.189273 root_mean_prior_squared_error 0.187786 root_mean_prior_squared_error 0.187826 root_mean_prior_squared_error 0.186612 root_mean_prior_squared_error 0.189952 root_mean_prior_squared_error 0.190032 root_mean_prior_squared_error 0.187907 root_mean_prior_squared_error 0.189912 root_mean_prior_squared_error 0.189072 root_mean_prior_squared_error 0.189353 root_mean_prior_squared_error 0.189952 root_mean_prior_squared_error 0.189952 root_mean_prior_squared_error 0.187826 root_mean_prior_squared_error 0.187139 root_mean_prior_squared_error 0.189273 root_mean_prior_squared_error 0.190271 root_mean_prior_squared_error 0.187826 root_mean_prior_squared_error 0.187987 root_mean_prior_squared_error 0.190032 root_mean_prior_squared_error 0.189032 root_mean_prior_squared_error 0.189593 root_mean_prior_squared_error 0.191065 root_mean_prior_squared_error 0.187866 root_mean_prior_squared_error 0.189632 root_mean_prior_squared_error 0.187261 root_mean_prior_squared_error 0.189632 root_mean_prior_squared_error 0.187745 root_mean_prior_squared_error 0.189072 root_mean_prior_squared_error 0.189593 root_mean_prior_squared_error 0.188992 root_mean_prior_squared_error 0.189632 root_mean_prior_squared_error 0.191382 root_mean_prior_squared_error 0.189152 root_mean_prior_squared_error 0.189593 root_mean_prior_squared_error 0.187463 root_mean_prior_squared_error 0.188952 root_mean_prior_squared_error 0.187947 root_mean_prior_squared_error 0.189032 root_mean_prior_squared_error 0.189593 root_mean_squared_error 0.107452 root_mean_squared_error 0.108326 root_mean_squared_error 0.134268 root_mean_squared_error 0.075183 root_mean_squared_error 0.100716 root_mean_squared_error 0.095516 root_mean_squared_error 0.05803 root_mean_squared_error 0.101012 root_mean_squared_error 0.127557 root_mean_squared_error 0.092051 root_mean_squared_error 0.135137 root_mean_squared_error 0.119189 root_mean_squared_error 0.102335 root_mean_squared_error 0.099849 root_mean_squared_error 0.11087 root_mean_squared_error 0.095886 root_mean_squared_error 0.069986 root_mean_squared_error 0.107951 root_mean_squared_error 0.111608 root_mean_squared_error 0.104806 root_mean_squared_error 0.116748 root_mean_squared_error 0.107782 root_mean_squared_error 0.102303 root_mean_squared_error 0.115562 root_mean_squared_error 0.108155 root_mean_squared_error 0.094714 root_mean_squared_error 0.08763 root_mean_squared_error 0.098186 root_mean_squared_error 0.127356 root_mean_squared_error 0.090342 root_mean_squared_error 0.106099 root_mean_squared_error 0.126197 root_mean_squared_error 0.096563 root_mean_squared_error 0.108251 root_mean_squared_error 0.087154 root_mean_squared_error 0.067125 root_mean_squared_error 0.106431 root_mean_squared_error 0.098658 root_mean_squared_error 0.091436 root_mean_squared_error 0.107912 root_mean_squared_error 0.0958 root_mean_squared_error 0.084346 root_mean_squared_error 0.12309 root_mean_squared_error 0.104876 root_mean_squared_error 0.108943 root_mean_squared_error 0.09999 root_mean_squared_error 0.1154 root_mean_squared_error 0.12481 root_mean_squared_error 0.124817 root_mean_squared_error 0.109832 root_mean_squared_error 0.105958 root_mean_squared_error 0.096904 root_mean_squared_error 0.109673 root_mean_squared_error 0.109231 root_mean_squared_error 0.117453 root_mean_squared_error 0.096379 root_mean_squared_error 0.133672 root_mean_squared_error 0.138487 root_mean_squared_error 0.082206 root_mean_squared_error 0.140083 root_mean_squared_error 0.109679 root_mean_squared_error 0.103978 root_mean_squared_error 0.0902 root_mean_squared_error 0.132454 root_mean_squared_error 0.098978 root_mean_squared_error 0.137851 root_mean_squared_error 0.11538 root_mean_squared_error 0.123103 root_mean_squared_error 0.056042 root_mean_squared_error 0.141662 root_mean_squared_error 0.094758 root_mean_squared_error 0.104626 root_mean_squared_error 0.115144 root_mean_squared_error 0.110523 root_mean_squared_error 0.102578 root_mean_squared_error 0.12352 root_mean_squared_error 0.118849 root_mean_squared_error 0.090627 root_mean_squared_error 0.110817 root_mean_squared_error 0.107917 root_mean_squared_error 0.086385 root_mean_squared_error 0.091493 root_mean_squared_error 0.106629 root_mean_squared_error 0.124693 root_mean_squared_error 0.105341 root_mean_squared_error 0.135865 root_mean_squared_error 0.136711 root_mean_squared_error 0.124031 root_mean_squared_error 0.134804 root_mean_squared_error 0.093135 root_mean_squared_error 0.123529 root_mean_squared_error 0.135132 root_mean_squared_error 0.109739 root_mean_squared_error 0.09567 root_mean_squared_error 0.102244 root_mean_squared_error 0.107731 root_mean_squared_error 0.123532 root_mean_squared_error 0.065818 root_mean_squared_error 0.094043 root_mean_squared_error 0.087057 root_relative_squared_error 0.570501 root_relative_squared_error 0.573275 root_relative_squared_error 0.709552 root_relative_squared_error 0.393115 root_relative_squared_error 0.532999 root_relative_squared_error 0.507234 root_relative_squared_error 0.308415 root_relative_squared_error 0.531449 root_relative_squared_error 0.674772 root_relative_squared_error 0.487441 root_relative_squared_error 0.714579 root_relative_squared_error 0.630503 root_relative_squared_error 0.54289 root_relative_squared_error 0.524803 root_relative_squared_error 0.586735 root_relative_squared_error 0.506208 root_relative_squared_error 0.370449 root_relative_squared_error 0.564346 root_relative_squared_error 0.590041 root_relative_squared_error 0.554643 root_relative_squared_error 0.617217 root_relative_squared_error 0.572487 root_relative_squared_error 0.54361 root_relative_squared_error 0.603892 root_relative_squared_error 0.566196 root_relative_squared_error 0.501032 root_relative_squared_error 0.463844 root_relative_squared_error 0.515857 root_relative_squared_error 0.673573 root_relative_squared_error 0.478195 root_relative_squared_error 0.561372 root_relative_squared_error 0.668524 root_relative_squared_error 0.511023 root_relative_squared_error 0.571948 root_relative_squared_error 0.456255 root_relative_squared_error 0.352245 root_relative_squared_error 0.564621 root_relative_squared_error 0.516274 root_relative_squared_error 0.483691 root_relative_squared_error 0.570966 root_relative_squared_error 0.506882 root_relative_squared_error 0.445643 root_relative_squared_error 0.651009 root_relative_squared_error 0.554789 root_relative_squared_error 0.569304 root_relative_squared_error 0.524495 root_relative_squared_error 0.61195 root_relative_squared_error 0.65984 root_relative_squared_error 0.655508 root_relative_squared_error 0.580655 root_relative_squared_error 0.554693 root_relative_squared_error 0.50902 root_relative_squared_error 0.580166 root_relative_squared_error 0.577943 root_relative_squared_error 0.622966 root_relative_squared_error 0.50465 root_relative_squared_error 0.699224 root_relative_squared_error 0.731107 root_relative_squared_error 0.431983 root_relative_squared_error 0.737454 root_relative_squared_error 0.577042 root_relative_squared_error 0.549358 root_relative_squared_error 0.480335 root_relative_squared_error 0.705194 root_relative_squared_error 0.530392 root_relative_squared_error 0.725714 root_relative_squared_error 0.607161 root_relative_squared_error 0.655128 root_relative_squared_error 0.295096 root_relative_squared_error 0.74925 root_relative_squared_error 0.500433 root_relative_squared_error 0.550802 root_relative_squared_error 0.606176 root_relative_squared_error 0.588433 root_relative_squared_error 0.548135 root_relative_squared_error 0.652603 root_relative_squared_error 0.624629 root_relative_squared_error 0.482503 root_relative_squared_error 0.589493 root_relative_squared_error 0.56789 root_relative_squared_error 0.456984 root_relative_squared_error 0.482576 root_relative_squared_error 0.558077 root_relative_squared_error 0.663732 root_relative_squared_error 0.555503 root_relative_squared_error 0.725538 root_relative_squared_error 0.720927 root_relative_squared_error 0.660634 root_relative_squared_error 0.712974 root_relative_squared_error 0.491238 root_relative_squared_error 0.653621 root_relative_squared_error 0.712601 root_relative_squared_error 0.573401 root_relative_squared_error 0.505784 root_relative_squared_error 0.539285 root_relative_squared_error 0.57468 root_relative_squared_error 0.653776 root_relative_squared_error 0.350193 root_relative_squared_error 0.497497 root_relative_squared_error 0.459179 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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 1160 usercpu_time_millis 1140 usercpu_time_millis 1150 usercpu_time_millis 1210 usercpu_time_millis 1180 usercpu_time_millis 1220 usercpu_time_millis 1170 usercpu_time_millis 1200 usercpu_time_millis 1130 usercpu_time_millis 1110 usercpu_time_millis 1580 usercpu_time_millis 1120 usercpu_time_millis 1160 usercpu_time_millis 1190 usercpu_time_millis 1700 usercpu_time_millis 1200 usercpu_time_millis 1180 usercpu_time_millis 1180 usercpu_time_millis 1120 usercpu_time_millis 1170 usercpu_time_millis 1210 usercpu_time_millis 1170 usercpu_time_millis 1190 usercpu_time_millis 1160 usercpu_time_millis 1340 usercpu_time_millis 1270 usercpu_time_millis 1180 usercpu_time_millis 1150 usercpu_time_millis 1130 usercpu_time_millis 1160 usercpu_time_millis 1190 usercpu_time_millis 1180 usercpu_time_millis 1200 usercpu_time_millis 1210 usercpu_time_millis 1220 usercpu_time_millis 1240 usercpu_time_millis 1140 usercpu_time_millis 1160 usercpu_time_millis 1150 usercpu_time_millis 1170 usercpu_time_millis 1190 usercpu_time_millis 1150 usercpu_time_millis 1150 usercpu_time_millis 1190 usercpu_time_millis 1230 usercpu_time_millis 1130 usercpu_time_millis 1100 usercpu_time_millis 1160 usercpu_time_millis 1120 usercpu_time_millis 1110 usercpu_time_millis 1100 usercpu_time_millis 1160 usercpu_time_millis 1210 usercpu_time_millis 1220 usercpu_time_millis 1170 usercpu_time_millis 1160 usercpu_time_millis 1090 usercpu_time_millis 1080 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