353092 2 Joaquin Vanschoren 1882 Supervised Classification predictive_accuracy 1165 weka.A1DE(4) 1918 weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE -- -F 1 -M 1.0 F 1 1165 M 1.0 1165 weka weka_3.7.12 2 anneal https://www.openml.org/data/download/1666876/phpFsFYVN -1 1217566 description https://api.openml.org/data/download/1217566/weka_generated_run8929701057241957930.xml -1 1217569 model_readable https://api.openml.org/data/download/1217569/WekaModel_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE4499183186546071889.model -1 1217568 model_serialized https://api.openml.org/data/download/1217568/WekaSerialized_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE7458916724009867532.model -1 1217567 predictions https://api.openml.org/data/download/1217567/weka_generated_predictions1754354714231789324.arff area_under_roc_curve 0.991422 [0.927723,0.995527,0.990732,0.0,1,0.991437] average_cost 0 f_measure 0.967221 [0.769231,0.901247,0.978974,0,0.972424,0.960409] kappa 0.918528 kb_relative_information_score 7842.171996 mean_absolute_error 0.017526 mean_prior_absolute_error 0.134305 number_of_instances 8980 [80,990,6840,0,670,400] os_information [Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic] precision 0.967748 [1,0.928266,0.974366,0,0.946328,0.981723] predictive_accuracy 0.967817 prior_entropy 1.214875 recall 0.967817 [0.625,0.875758,0.983626,0,1,0.94] relative_absolute_error 0.13049 root_mean_prior_squared_error 0.258218 root_mean_squared_error 0.090736 root_relative_squared_error 0.351392 scimark_benchmark 1329.800805 [815.8281714984039, 881.6998331260255, 535.6656558453135, 1076.566655001292, 3339.2437102555236] total_cost 0 usercpu_time_millis 20 usercpu_time_millis_testing 10 usercpu_time_millis_training 10 area_under_roc_curve 1 [1,1,1,0.0,1,1] area_under_roc_curve 0.995748 [1,0.994513,0.995169,0.0,1,1] area_under_roc_curve 0.998803 [1,0.99875,0.99862,0.0,1,1] area_under_roc_curve 0.993651 [1,1,0.991718,0.0,1,1] area_under_roc_curve 0.997216 [1,0.99875,0.996549,0.0,1,1] area_under_roc_curve 0.998803 [1,0.99875,0.99862,0.0,1,1] area_under_roc_curve 0.971008 [1,0.98625,0.966874,0.0,1,0.953488] area_under_roc_curve 0.992149 [1,0.99125,0.991028,0.0,1,1] area_under_roc_curve 0.975647 [1,0.989026,0.971014,0.0,1,0.976744] area_under_roc_curve 0.998001 [1,0.995885,0.99793,0.0,1,1] area_under_roc_curve 0.983216 [1,0.9975,0.979986,0.0,1,0.973837] area_under_roc_curve 0.998207 [1,0.9975,0.997995,0.0,1,1] area_under_roc_curve 0.99666 [1,0.99375,0.996549,0.0,1,1] area_under_roc_curve 0.974597 [1,0.99125,0.970324,0.0,1,0.962209] area_under_roc_curve 0.985218 [1,0.98125,0.983437,0.0,1,1] area_under_roc_curve 0.998664 [1,0.9975,0.99862,0.0,1,1] area_under_roc_curve 0.995238 [1,1,0.993789,0.0,1,1] area_under_roc_curve 1 [1,1,1,0.0,1,1] area_under_roc_curve 0.99798 [1,1,0.997326,0.0,1,1] area_under_roc_curve 0.992323 [0.797753,0.99875,0.993099,0.0,1,1] area_under_roc_curve 0.998274 [1,0.99875,0.99793,0.0,1,1] area_under_roc_curve 0.994354 [0.719101,1,0.996658,0.0,1,1] area_under_roc_curve 0.980216 [0.752809,0.98,0.980676,0.0,1,1] area_under_roc_curve 0.983354 [1,0.99875,0.979986,0.0,1,0.973837] area_under_roc_curve 1 [1,1,1,0.0,1,1] area_under_roc_curve 0.993095 [1,0.995,0.991718,0.0,1,1] area_under_roc_curve 0.986857 [1,1,0.983289,0.0,1,0.988372] area_under_roc_curve 0.982279 [1,0.995,0.979296,0.0,1,0.97093] area_under_roc_curve 0.993766 [0.769663,0.99875,0.995321,0.0,1,1] area_under_roc_curve 0.998664 [1,0.9975,0.99862,0.0,1,1] area_under_roc_curve 0.999471 [1,1,0.99931,0.0,1,1] area_under_roc_curve 0.994533 [1,0.99625,0.993316,0.0,1,1] area_under_roc_curve 0.998413 [1,1,0.99793,0.0,1,1] area_under_roc_curve 0.997609 [1,0.997257,0.997239,0.0,1,1] area_under_roc_curve 0.977972 [0.988764,0.99875,0.97393,0.0,1,0.953488] area_under_roc_curve 0.993438 [0.792135,0.994513,0.995169,0.0,1,1] area_under_roc_curve 0.99274 [1,0.99375,0.99131,0.0,1,1] area_under_roc_curve 0.999471 [1,1,0.99931,0.0,1,1] area_under_roc_curve 0.997563 [1,0.99625,0.997326,0.0,1,1] area_under_roc_curve 0.994266 [1,0.99125,0.993789,0.0,1,1] area_under_roc_curve 0.991885 [0.769663,1,0.992647,0.0,1,1] area_under_roc_curve 0.992828 [1,0.99,0.991979,0.0,1,1] area_under_roc_curve 0.996692 [1,0.9975,0.995989,0.0,1,1] area_under_roc_curve 0.998207 [1,0.9975,0.997995,0.0,1,1] area_under_roc_curve 0.987531 [0.758427,0.99375,0.987968,0.0,1,1] area_under_roc_curve 1 [1,1,1,0.0,1,1] area_under_roc_curve 0.993056 [1,0.9875,0.992647,0.0,1,1] area_under_roc_curve 0.983944 [1,1,0.979947,0.0,1,0.979651] area_under_roc_curve 0.979168 [1,0.99,0.975267,0.0,1,0.976744] area_under_roc_curve 0.994482 [1,0.99125,0.993984,0.0,1,1] area_under_roc_curve 0.994621 [1,0.9925,0.993984,0.0,1,1] area_under_roc_curve 1 [1,1,1,0.0,1,1] area_under_roc_curve 0.962429 [1,0.99875,0.953877,0.0,1,0.94186] area_under_roc_curve 0.993525 [0.780899,1,0.994652,0.0,1,1] area_under_roc_curve 0.983901 [1,0.9975,0.981283,0.0,1,0.962209] area_under_roc_curve 0.99596 [1,1,0.994652,0.0,1,1] area_under_roc_curve 0.999356 [1,0.99875,0.999332,0.0,1,1] area_under_roc_curve 0.984674 [0.679775,0.985,0.986631,0.0,1,1] area_under_roc_curve 0.999495 [1,1,0.999332,0.0,1,1] area_under_roc_curve 0.960778 [1,0.99875,0.955882,0.0,1,0.87064] area_under_roc_curve 0.998851 [1,0.99875,0.998663,0.0,1,1] area_under_roc_curve 0.995265 [1,0.99375,0.994652,0.0,1,1] area_under_roc_curve 0.98185 [1,0.995,0.979278,0.0,1,0.956395] area_under_roc_curve 0.991818 [1,0.99,0.990642,0.0,1,1] area_under_roc_curve 0.99899 [1,1,0.998663,0.0,1,1] area_under_roc_curve 0.978127 [1,0.9875,0.974599,0.0,1,0.97093] area_under_roc_curve 0.995228 [0.797753,1,0.996658,0.0,1,1] area_under_roc_curve 0.993889 [1,0.995,0.992647,0.0,1,1] area_under_roc_curve 0.99899 [1,1,0.998663,0.0,1,1] area_under_roc_curve 0.995265 [1,0.99375,0.994652,0.0,1,1] area_under_roc_curve 0.99697 [1,1,0.995989,0.0,1,1] area_under_roc_curve 0.994405 [1,0.9925,0.993789,0.0,1,1] area_under_roc_curve 0.996692 [1,0.9975,0.995989,0.0,1,1] area_under_roc_curve 0.978824 [1,0.9925,0.97393,0.0,1,0.985465] area_under_roc_curve 0.997702 [1,0.9975,0.997326,0.0,1,1] area_under_roc_curve 0.98851 [1,0.9875,0.986631,0.0,1,1] area_under_roc_curve 0.999495 [1,1,0.999332,0.0,1,1] area_under_roc_curve 0.995265 [1,0.99375,0.994652,0.0,1,1] area_under_roc_curve 0.987474 [1,0.9825,0.986197,0.0,1,1] area_under_roc_curve 0.99899 [1,1,0.998663,0.0,1,1] area_under_roc_curve 0.987985 [0.0,0.983544,0.986695,0.0,1,1] area_under_roc_curve 0.983622 [0.0,0.997468,0.980435,0.0,1,0.979412] area_under_roc_curve 0.999323 [0.0,0.998734,0.9993,0.0,1,1] area_under_roc_curve 1 [0.0,1,1,0.0,1,1] area_under_roc_curve 1 [0.0,1,1,0.0,1,1] area_under_roc_curve 0.999465 [0.0,1,0.9993,0.0,1,1] area_under_roc_curve 0.991694 [0.0,0.986076,0.991304,0.0,1,1] area_under_roc_curve 1 [0.0,1,1,0.0,1,1] area_under_roc_curve 0.998876 [0.0,1,0.998551,0.0,1,1] area_under_roc_curve 0.998645 [0.0,0.997468,0.998599,0.0,1,1] area_under_roc_curve 0.983003 [0.0,0.997468,0.978992,0.0,1,0.985294] area_under_roc_curve 0.983377 [0.0,1,0.980435,0.0,1,0.967647] area_under_roc_curve 0.981381 [0.0,0.993671,0.978291,0.0,1,0.970588] area_under_roc_curve 0.991907 [0.0,0.989873,0.990896,0.0,1,1] area_under_roc_curve 0.992416 [0.0,0.986111,0.992029,0.0,1,1] area_under_roc_curve 0.980896 [0.0,1,0.977591,0.0,1,0.955882] area_under_roc_curve 0.995072 [0.0,0.991139,0.994928,0.0,1,1] area_under_roc_curve 0.999323 [0.0,0.998734,0.9993,0.0,1,1] area_under_roc_curve 0.995214 [0.0,0.992405,0.994928,0.0,1,1] area_under_roc_curve 0.996898 [0.0,0.996203,0.996499,0.0,1,1] 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 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.960077 [0,0.875,0.978723,0,1,1] f_measure 0.966915 [1,0.888889,0.978102,0,0.933333,1] f_measure 0.978306 [1,0.952381,0.985294,0,0.923077,1] f_measure 0.97265 [0,1,0.985507,0,0.923077,1] f_measure 0.965979 [1,0.888889,0.978417,0,0.923077,1] f_measure 0.968148 [1,0.952381,0.977778,0,0.857143,1] f_measure 0.942094 [1,0.823529,0.964539,0,1,0.75] f_measure 0.965979 [1,0.888889,0.978417,0,0.923077,1] f_measure 0.944837 [1,0.888889,0.963504,0,0.875,0.857143] f_measure 0.977778 [1,0.888889,0.985507,0,1,1] f_measure 0.946228 [1,0.947368,0.963504,0,0.923077,0.666667] f_measure 0.977778 [1,0.9,0.985294,0,1,1] f_measure 0.977778 [1,0.9,0.985507,0,1,1] f_measure 0.964993 [1,0.888889,0.978723,0,1,0.857143] f_measure 0.953404 [1,0.777778,0.971429,0,1,1] f_measure 0.989113 [1,0.952381,0.992701,0,1,1] f_measure 0.983373 [0,1,0.992806,0,1,1] f_measure 0.972089 [0,0.947368,0.985714,0,1,1] f_measure 0.972091 [0,0.947368,0.985507,0,1,1] f_measure 0.961366 [0,0.947368,0.978417,0,0.923077,1] f_measure 0.977913 [1,0.947368,0.985507,0,0.923077,1] f_measure 0.941966 [0,0.833333,0.962406,0,1,1] f_measure 0.926212 [0,0.777778,0.957143,0,0.923077,1] f_measure 0.97685 [1,0.947368,0.985714,0,1,0.857143] f_measure 1 [1,1,1,0,1,1] f_measure 0.938639 [0,0.842105,0.964029,0,0.923077,1] f_measure 0.977354 [1,1,0.985294,0,0.933333,0.857143] f_measure 0.964993 [1,0.888889,0.978723,0,1,0.857143] f_measure 0.961233 [0,0.9,0.978102,0,1,1] f_measure 0.972089 [0,0.947368,0.985714,0,1,1] f_measure 0.976702 [1,0.888889,0.985714,0,1,1] f_measure 0.951096 [0,0.947368,0.970588,0,0.875,1] f_measure 0.961275 [0,0.941176,0.978417,0,0.933333,1] f_measure 0.965768 [1,0.875,0.978417,0,0.933333,1] f_measure 0.960704 [0,0.952381,0.978102,0,1,0.857143] f_measure 0.947293 [0,0.8,0.971831,0,1,1] f_measure 0.936918 [0,0.823529,0.964029,0,0.933333,1] f_measure 0.960077 [0,0.875,0.978723,0,1,1] f_measure 0.967337 [1,0.857143,0.977778,0,1,1] f_measure 0.977778 [1,0.9,0.985507,0,1,1] f_measure 0.951842 [0,0.869565,0.970149,0,1,1] f_measure 0.945561 [1,0.761905,0.962963,0,1,1] f_measure 0.961311 [0,0.947368,0.978102,0,0.933333,1] f_measure 0.966914 [1,0.9,0.977778,0,0.933333,1] f_measure 0.95037 [0,0.9,0.970588,0,0.933333,1] f_measure 0.988637 [1,0.947368,0.992701,0,1,1] f_measure 0.955556 [1,0.8,0.970588,0,1,1] f_measure 0.988136 [1,1,0.992701,0,1,0.857143] f_measure 0.93908 [1,0.75,0.964539,0,1,0.857143] f_measure 0.977778 [1,0.9,0.985294,0,1,1] f_measure 0.988637 [1,0.947368,0.992701,0,1,1] f_measure 0.988637 [1,0.947368,0.992701,0,1,1] f_measure 0.952174 [1,0.9,0.971014,0,1,0.666667] f_measure 0.983374 [0,1,0.992701,0,1,1] f_measure 0.976853 [1,0.947368,0.985507,0,1,0.857143] f_measure 0.950635 [1,0.75,0.971429,0,1,1] f_measure 0.988637 [1,0.947368,0.992701,0,1,1] f_measure 0.929101 [0,0.761905,0.955882,0,1,1] f_measure 0.989218 [1,1,0.992593,0,0.933333,1] f_measure 0.935785 [0,0.9,0.964029,0,1,0.666667] f_measure 0.972091 [0,0.947368,0.985507,0,1,1] f_measure 0.964085 [1,0.823529,0.978417,0,1,1] f_measure 0.964998 [1,0.888889,0.978417,0,1,0.857143] f_measure 0.976704 [1,0.888889,0.985507,0,1,1] f_measure 0.965924 [1,0.888889,0.978102,0,0.933333,1] f_measure 0.96676 [1,0.909091,0.977778,0,1,0.857143] f_measure 0.972091 [0,0.947368,0.985507,0,1,1] f_measure 0.955049 [1,0.842105,0.970588,0,0.933333,1] f_measure 0.972487 [0,0.952381,0.985294,0,1,1] f_measure 0.966914 [1,0.9,0.977778,0,0.933333,1] f_measure 0.964085 [1,0.823529,0.978417,0,1,1] f_measure 0.950794 [0,0.857143,0.971014,0,1,1] f_measure 0.968473 [1,0.947368,0.977778,0,1,0.8] f_measure 0.914411 [0,0.857143,0.948905,0,0.933333,0.666667] f_measure 0.950794 [0,0.857143,0.970588,0,1,1] f_measure 0.929873 [0,0.9,0.955224,0,0.933333,0.8] f_measure 0.977856 [1,0.947368,0.985294,0,0.933333,1] f_measure 0.956388 [1,0.857143,0.970149,0,0.933333,1] f_measure 0.932299 [1,0.736842,0.956522,0,0.923077,1] f_measure 0.976704 [1,0.888889,0.985507,0,1,1] f_measure 0.945604 [0,0.818182,0.962406,0,0.933333,1] f_measure 0.953688 [0,0.842105,0.971429,0,1,0.857143] f_measure 0.977528 [0,0.9,0.985294,0,1,1] f_measure 1 [0,1,1,0,1,1] f_measure 0.988509 [0,0.947368,0.992701,0,1,1] f_measure 0.967308 [0,0.909091,0.977444,0,0.933333,1] f_measure 0.977528 [0,0.9,0.985507,0,1,1] f_measure 0.989097 [0,1,0.992593,0,0.933333,1] f_measure 0.988509 [0,0.947368,0.992806,0,1,1] f_measure 0.96697 [0,0.857143,0.977778,0,1,1] f_measure 0.965613 [0,0.9,0.978102,0,1,0.857143] f_measure 0.988002 [0,1,0.992806,0,1,0.857143] f_measure 0.964605 [0,0.888889,0.978417,0,1,0.857143] f_measure 0.94413 [0,0.842105,0.962963,0,0.875,1] f_measure 0.955056 [0,0.777778,0.971014,0,1,1] f_measure 0.988002 [0,1,0.992701,0,1,0.857143] f_measure 0.988509 [0,0.947368,0.992806,0,1,1] f_measure 0.98899 [0,0.952381,0.992593,0,1,1] f_measure 0.988509 [0,0.947368,0.992806,0,1,1] f_measure 0.965541 [0,0.888889,0.978102,0,0.933333,1] kappa 0.91012 kappa 0.917025 kappa 0.945586 kappa 0.943414 kappa 0.913766 kappa 0.919905 kappa 0.850449 kappa 0.913766 kappa 0.861581 kappa 0.943609 kappa 0.861751 kappa 0.945619 kappa 0.943503 kappa 0.91009 kappa 0.88266 kappa 0.972265 kappa 0.971191 kappa 0.941157 kappa 0.943485 kappa 0.913517 kappa 0.943574 kappa 0.870504 kappa 0.823702 kappa 0.941215 kappa 1 kappa 0.855862 kappa 0.94557 kappa 0.91009 kappa 0.916744 kappa 0.941157 kappa 0.94133 kappa 0.89114 kappa 0.913628 kappa 0.913848 kappa 0.916589 kappa 0.877717 kappa 0.85623 kappa 0.91012 kappa 0.919834 kappa 0.943503 kappa 0.894644 kappa 0.86639 kappa 0.916821 kappa 0.919905 kappa 0.891041 kappa 0.972325 kappa 0.891239 kappa 0.972274 kappa 0.850697 kappa 0.945619 kappa 0.972325 kappa 0.972325 kappa 0.886864 kappa 0.972248 kappa 0.943538 kappa 0.883041 kappa 0.972325 kappa 0.836413 kappa 0.973302 kappa 0.855538 kappa 0.943485 kappa 0.913903 kappa 0.913738 kappa 0.943644 kappa 0.917051 kappa 0.919691 kappa 0.943485 kappa 0.891337 kappa 0.945471 kappa 0.919905 kappa 0.913903 kappa 0.886686 kappa 0.920118 kappa 0.805195 kappa 0.890942 kappa 0.842657 kappa 0.945669 kappa 0.895013 kappa 0.830721 kappa 0.943644 kappa 0.865518 kappa 0.87656 kappa 0.943167 kappa 1 kappa 0.971047 kappa 0.919311 kappa 0.940824 kappa 0.972127 kappa 0.96982 kappa 0.916301 kappa 0.912973 kappa 0.969759 kappa 0.909553 kappa 0.860763 kappa 0.881885 kappa 0.970991 kappa 0.96982 kappa 0.9721 kappa 0.96982 kappa 0.913227 kb_relative_information_score 80.393736 kb_relative_information_score 78.949018 kb_relative_information_score 79.327115 kb_relative_information_score 76.16032 kb_relative_information_score 79.463736 kb_relative_information_score 77.685246 kb_relative_information_score 70.219865 kb_relative_information_score 75.059845 kb_relative_information_score 70.251032 kb_relative_information_score 81.928157 kb_relative_information_score 74.558243 kb_relative_information_score 84.51911 kb_relative_information_score 79.201677 kb_relative_information_score 74.770301 kb_relative_information_score 72.526252 kb_relative_information_score 80.382767 kb_relative_information_score 77.991464 kb_relative_information_score 81.164447 kb_relative_information_score 81.441334 kb_relative_information_score 75.938871 kb_relative_information_score 80.717308 kb_relative_information_score 78.479744 kb_relative_information_score 69.493444 kb_relative_information_score 78.728305 kb_relative_information_score 84.642098 kb_relative_information_score 76.287266 kb_relative_information_score 79.387024 kb_relative_information_score 74.922912 kb_relative_information_score 79.852627 kb_relative_information_score 80.015355 kb_relative_information_score 83.106489 kb_relative_information_score 78.6136 kb_relative_information_score 80.655335 kb_relative_information_score 80.606045 kb_relative_information_score 78.196904 kb_relative_information_score 74.861209 kb_relative_information_score 77.641701 kb_relative_information_score 80.443817 kb_relative_information_score 82.504265 kb_relative_information_score 75.921315 kb_relative_information_score 77.047541 kb_relative_information_score 79.024048 kb_relative_information_score 81.815052 kb_relative_information_score 82.963565 kb_relative_information_score 74.356357 kb_relative_information_score 86.969374 kb_relative_information_score 79.673565 kb_relative_information_score 80.960523 kb_relative_information_score 76.10042 kb_relative_information_score 81.251406 kb_relative_information_score 79.504017 kb_relative_information_score 84.060571 kb_relative_information_score 76.17042 kb_relative_information_score 79.992003 kb_relative_information_score 79.881813 kb_relative_information_score 81.186597 kb_relative_information_score 86.169969 kb_relative_information_score 73.144666 kb_relative_information_score 86.351679 kb_relative_information_score 76.058954 kb_relative_information_score 83.073829 kb_relative_information_score 80.400928 kb_relative_information_score 79.322873 kb_relative_information_score 80.422611 kb_relative_information_score 84.473488 kb_relative_information_score 75.29488 kb_relative_information_score 80.338439 kb_relative_information_score 80.157622 kb_relative_information_score 84.094037 kb_relative_information_score 81.074885 kb_relative_information_score 80.646552 kb_relative_information_score 76.890024 kb_relative_information_score 81.748722 kb_relative_information_score 71.090444 kb_relative_information_score 82.752135 kb_relative_information_score 76.495418 kb_relative_information_score 83.240934 kb_relative_information_score 78.465434 kb_relative_information_score 73.610851 kb_relative_information_score 83.196964 kb_relative_information_score 70.38562 kb_relative_information_score 71.16882 kb_relative_information_score 80.355496 kb_relative_information_score 81.077043 kb_relative_information_score 79.832899 kb_relative_information_score 77.256768 kb_relative_information_score 71.105096 kb_relative_information_score 80.822361 kb_relative_information_score 76.310023 kb_relative_information_score 78.377442 kb_relative_information_score 74.488997 kb_relative_information_score 74.231636 kb_relative_information_score 74.102263 kb_relative_information_score 73.235756 kb_relative_information_score 70.948668 kb_relative_information_score 78.069669 kb_relative_information_score 73.824681 kb_relative_information_score 79.388477 kb_relative_information_score 73.620991 kb_relative_information_score 77.086378 mean_absolute_error 0.014074 mean_absolute_error 0.016145 mean_absolute_error 0.016081 mean_absolute_error 0.021474 mean_absolute_error 0.01535 mean_absolute_error 0.019917 mean_absolute_error 0.026431 mean_absolute_error 0.024383 mean_absolute_error 0.029447 mean_absolute_error 0.012458 mean_absolute_error 0.020341 mean_absolute_error 0.011639 mean_absolute_error 0.015505 mean_absolute_error 0.020557 mean_absolute_error 0.02459 mean_absolute_error 0.014898 mean_absolute_error 0.017561 mean_absolute_error 0.014189 mean_absolute_error 0.017969 mean_absolute_error 0.016646 mean_absolute_error 0.014475 mean_absolute_error 0.014978 mean_absolute_error 0.027045 mean_absolute_error 0.015233 mean_absolute_error 0.007701 mean_absolute_error 0.021256 mean_absolute_error 0.018729 mean_absolute_error 0.020949 mean_absolute_error 0.014147 mean_absolute_error 0.016124 mean_absolute_error 0.009589 mean_absolute_error 0.02231 mean_absolute_error 0.01539 mean_absolute_error 0.015179 mean_absolute_error 0.018916 mean_absolute_error 0.016101 mean_absolute_error 0.023721 mean_absolute_error 0.015013 mean_absolute_error 0.015871 mean_absolute_error 0.021372 mean_absolute_error 0.019317 mean_absolute_error 0.019706 mean_absolute_error 0.016761 mean_absolute_error 0.01388 mean_absolute_error 0.023586 mean_absolute_error 0.00842 mean_absolute_error 0.020752 mean_absolute_error 0.017628 mean_absolute_error 0.022942 mean_absolute_error 0.017747 mean_absolute_error 0.020532 mean_absolute_error 0.015295 mean_absolute_error 0.02077 mean_absolute_error 0.013512 mean_absolute_error 0.016022 mean_absolute_error 0.017403 mean_absolute_error 0.009114 mean_absolute_error 0.024088 mean_absolute_error 0.009155 mean_absolute_error 0.020246 mean_absolute_error 0.015633 mean_absolute_error 0.017995 mean_absolute_error 0.01748 mean_absolute_error 0.018592 mean_absolute_error 0.012301 mean_absolute_error 0.027347 mean_absolute_error 0.014577 mean_absolute_error 0.017999 mean_absolute_error 0.012628 mean_absolute_error 0.018455 mean_absolute_error 0.018293 mean_absolute_error 0.020556 mean_absolute_error 0.016075 mean_absolute_error 0.030785 mean_absolute_error 0.015958 mean_absolute_error 0.026454 mean_absolute_error 0.015306 mean_absolute_error 0.021089 mean_absolute_error 0.026616 mean_absolute_error 0.015294 mean_absolute_error 0.027738 mean_absolute_error 0.019152 mean_absolute_error 0.010154 mean_absolute_error 0.008973 mean_absolute_error 0.012162 mean_absolute_error 0.014628 mean_absolute_error 0.021544 mean_absolute_error 0.008983 mean_absolute_error 0.012327 mean_absolute_error 0.013594 mean_absolute_error 0.017141 mean_absolute_error 0.014574 mean_absolute_error 0.017672 mean_absolute_error 0.021262 mean_absolute_error 0.021618 mean_absolute_error 0.011458 mean_absolute_error 0.017265 mean_absolute_error 0.010528 mean_absolute_error 0.015938 mean_absolute_error 0.015348 mean_prior_absolute_error 0.133342 mean_prior_absolute_error 0.133342 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.133342 mean_prior_absolute_error 0.133342 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.133342 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.133342 mean_prior_absolute_error 0.133342 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.133342 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.133342 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.133555 mean_prior_absolute_error 0.130999 mean_prior_absolute_error 0.133555 mean_prior_absolute_error 0.133555 mean_prior_absolute_error 0.133555 mean_prior_absolute_error 0.133555 mean_prior_absolute_error 0.130999 mean_prior_absolute_error 0.133555 mean_prior_absolute_error 0.130999 mean_prior_absolute_error 0.133555 mean_prior_absolute_error 0.133555 mean_prior_absolute_error 0.130999 mean_prior_absolute_error 0.133555 mean_prior_absolute_error 0.133555 mean_prior_absolute_error 0.131132 mean_prior_absolute_error 0.133555 mean_prior_absolute_error 0.130999 mean_prior_absolute_error 0.133555 mean_prior_absolute_error 0.130999 mean_prior_absolute_error 0.133555 number_of_instances 90 [1,9,69,0,7,4] number_of_instances 90 [1,9,69,0,7,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,9,69,0,7,4] number_of_instances 90 [1,9,69,0,7,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,9,69,0,7,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,9,69,0,7,4] number_of_instances 90 [1,9,69,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,9,69,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,9,69,0,7,4] 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 [1,10,68,0,7,4] 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 [1,10,68,0,7,4] 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 0.956944 [0,1,0.958333,0,1,1] precision 0.967892 [1,0.888889,0.985294,0,0.875,1] precision 0.980375 [1,0.909091,1,0,0.857143,1] precision 0.968254 [0,1,0.985507,0,0.857143,1] precision 0.968571 [1,1,0.971429,0,0.857143,1] precision 0.973232 [1,0.909091,1,0,0.75,1] precision 0.946296 [1,1,0.944444,0,1,0.75] precision 0.968571 [1,1,0.971429,0,0.857143,1] precision 0.949056 [1,0.888889,0.970588,0,0.777778,1] precision 0.977778 [1,0.888889,0.985507,0,1,1] precision 0.950149 [1,1,0.970588,0,0.857143,0.6] precision 0.977778 [1,0.9,0.985294,0,1,1] precision 0.977778 [1,0.9,0.985507,0,1,1] precision 0.968056 [1,1,0.958333,0,1,1] precision 0.953717 [1,0.875,0.957746,0,1,1] precision 0.989899 [1,0.909091,1,0,1,1] precision 0.977937 [0,1,0.985714,0,1,1] precision 0.967293 [0,1,0.971831,0,1,1] precision 0.967302 [0,1,0.971429,0,1,1] precision 0.95746 [0,1,0.971429,0,0.857143,1] precision 0.979365 [1,1,0.985507,0,0.857143,1] precision 0.945519 [0,0.714286,0.984615,0,1,1] precision 0.922284 [0,0.875,0.943662,0,0.857143,1] precision 0.978404 [1,1,0.971831,0,1,1] precision 1 [1,1,1,0,1,1] precision 0.934162 [0,0.888889,0.957143,0,0.857143,1] precision 0.979167 [1,1,0.985294,0,0.875,1] precision 0.968056 [1,1,0.958333,0,1,1] precision 0.955878 [0,0.9,0.971014,0,1,1] precision 0.967293 [0,1,0.971831,0,1,1] precision 0.978404 [1,1,0.971831,0,1,1] precision 0.949383 [0,1,0.970588,0,0.777778,1] precision 0.957262 [0,1,0.971429,0,0.875,1] precision 0.968373 [1,1,0.971429,0,0.875,1] precision 0.956888 [0,0.909091,0.971014,0,1,1] precision 0.94688 [0,1,0.945205,0,1,1] precision 0.9366 [0,1,0.943662,0,0.875,1] precision 0.956944 [0,1,0.958333,0,1,1] precision 0.968521 [1,0.818182,0.985075,0,1,1] precision 0.977778 [1,0.9,0.985507,0,1,1] precision 0.9518 [0,0.769231,0.984848,0,1,1] precision 0.947143 [1,0.727273,0.970149,0,1,1] precision 0.957267 [0,1,0.971014,0,0.875,1] precision 0.96789 [1,0.9,0.985075,0,0.875,1] precision 0.945833 [0,0.9,0.970588,0,0.875,1] precision 0.98905 [1,1,0.985507,0,1,1] precision 0.955556 [1,0.8,0.970588,0,1,1] precision 0.98905 [1,1,0.985507,0,1,1] precision 0.94825 [1,1,0.931507,0,1,1] precision 0.977778 [1,0.9,0.985294,0,1,1] precision 0.98905 [1,1,0.985507,0,1,1] precision 0.98905 [1,1,0.985507,0,1,1] precision 0.956508 [1,0.9,0.957143,0,1,1] precision 0.977939 [0,1,0.985507,0,1,1] precision 0.978413 [1,1,0.971429,0,1,1] precision 0.958025 [1,1,0.944444,0,1,1] precision 0.98905 [1,1,0.985507,0,1,1] precision 0.925253 [0,0.727273,0.955882,0,1,1] precision 0.990278 [1,1,1,0,0.875,1] precision 0.935211 [0,0.9,0.943662,0,1,1] precision 0.967302 [0,1,0.971429,0,1,1] precision 0.968075 [1,1,0.957746,0,1,1] precision 0.968075 [1,1,0.957746,0,1,1] precision 0.978413 [1,1,0.971429,0,1,1] precision 0.968378 [1,1,0.971014,0,0.875,1] precision 0.970205 [1,0.833333,0.985075,0,1,1] precision 0.967302 [0,1,0.971429,0,1,1] precision 0.95571 [1,0.888889,0.970588,0,0.875,1] precision 0.967677 [0,0.909091,0.985294,0,1,1] precision 0.96789 [1,0.9,0.985075,0,0.875,1] precision 0.968075 [1,1,0.957746,0,1,1] precision 0.946465 [0,0.818182,0.971014,0,1,1] precision 0.973908 [1,1,0.985075,0,1,0.666667] precision 0.915164 [0,0.818182,0.942029,0,0.875,1] precision 0.946465 [0,0.818182,0.970588,0,1,1] precision 0.930345 [0,0.9,0.969697,0,0.875,0.666667] precision 0.979167 [1,1,0.985294,0,0.875,1] precision 0.958628 [1,0.818182,0.984848,0,0.875,1] precision 0.932451 [1,0.777778,0.956522,0,0.857143,1] precision 0.978413 [1,1,0.971429,0,1,1] precision 0.950324 [0,0.75,0.984615,0,0.875,1] precision 0.954757 [0,0.888889,0.957746,0,1,1] precision 0.977528 [0,0.9,0.985294,0,1,1] precision 1 [0,1,1,0,1,1] precision 0.988927 [0,1,0.985507,0,1,1] precision 0.971442 [0,0.833333,1,0,0.875,1] precision 0.977528 [0,0.9,0.985507,0,1,1] precision 0.990169 [0,1,1,0,0.875,1] precision 0.988925 [0,1,0.985714,0,1,1] precision 0.968167 [0,0.818182,0.985075,0,1,1] precision 0.966618 [0,0.9,0.971014,0,1,1] precision 0.988925 [0,1,0.985714,0,1,1] precision 0.967716 [0,1,0.957746,0,1,1] precision 0.94723 [0,0.888889,0.970149,0,0.777778,1] precision 0.955056 [0,0.777778,0.971014,0,1,1] precision 0.988927 [0,1,0.985507,0,1,1] precision 0.988925 [0,1,0.985714,0,1,1] precision 0.989785 [0,0.909091,1,0,1,1] precision 0.988925 [0,1,0.985714,0,1,1] precision 0.968022 [0,1,0.971014,0,0.875,1] predictive_accuracy 0.966667 predictive_accuracy 0.966667 predictive_accuracy 0.977778 predictive_accuracy 0.977778 predictive_accuracy 0.966667 predictive_accuracy 0.966667 predictive_accuracy 0.944444 predictive_accuracy 0.966667 predictive_accuracy 0.944444 predictive_accuracy 0.977778 predictive_accuracy 0.944444 predictive_accuracy 0.977778 predictive_accuracy 0.977778 predictive_accuracy 0.966667 predictive_accuracy 0.955556 predictive_accuracy 0.988889 predictive_accuracy 0.988889 predictive_accuracy 0.977778 predictive_accuracy 0.977778 predictive_accuracy 0.966667 predictive_accuracy 0.977778 predictive_accuracy 0.944444 predictive_accuracy 0.933333 predictive_accuracy 0.977778 predictive_accuracy 1 predictive_accuracy 0.944444 predictive_accuracy 0.977778 predictive_accuracy 0.966667 predictive_accuracy 0.966667 predictive_accuracy 0.977778 predictive_accuracy 0.977778 predictive_accuracy 0.955556 predictive_accuracy 0.966667 predictive_accuracy 0.966667 predictive_accuracy 0.966667 predictive_accuracy 0.955556 predictive_accuracy 0.944444 predictive_accuracy 0.966667 predictive_accuracy 0.966667 predictive_accuracy 0.977778 predictive_accuracy 0.955556 predictive_accuracy 0.944444 predictive_accuracy 0.966667 predictive_accuracy 0.966667 predictive_accuracy 0.955556 predictive_accuracy 0.988889 predictive_accuracy 0.955556 predictive_accuracy 0.988889 predictive_accuracy 0.944444 predictive_accuracy 0.977778 predictive_accuracy 0.988889 predictive_accuracy 0.988889 predictive_accuracy 0.955556 predictive_accuracy 0.988889 predictive_accuracy 0.977778 predictive_accuracy 0.955556 predictive_accuracy 0.988889 predictive_accuracy 0.933333 predictive_accuracy 0.988889 predictive_accuracy 0.944444 predictive_accuracy 0.977778 predictive_accuracy 0.966667 predictive_accuracy 0.966667 predictive_accuracy 0.977778 predictive_accuracy 0.966667 predictive_accuracy 0.966667 predictive_accuracy 0.977778 predictive_accuracy 0.955556 predictive_accuracy 0.977778 predictive_accuracy 0.966667 predictive_accuracy 0.966667 predictive_accuracy 0.955556 predictive_accuracy 0.966667 predictive_accuracy 0.922222 predictive_accuracy 0.955556 predictive_accuracy 0.933333 predictive_accuracy 0.977778 predictive_accuracy 0.955556 predictive_accuracy 0.933333 predictive_accuracy 0.977778 predictive_accuracy 0.94382 predictive_accuracy 0.955056 predictive_accuracy 0.977528 predictive_accuracy 1 predictive_accuracy 0.988764 predictive_accuracy 0.966292 predictive_accuracy 0.977528 predictive_accuracy 0.988764 predictive_accuracy 0.988764 predictive_accuracy 0.966292 predictive_accuracy 0.966292 predictive_accuracy 0.988764 predictive_accuracy 0.966292 predictive_accuracy 0.94382 predictive_accuracy 0.955056 predictive_accuracy 0.988764 predictive_accuracy 0.988764 predictive_accuracy 0.988764 predictive_accuracy 0.988764 predictive_accuracy 0.966292 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 0.966667 [0,0.777778,1,0,1,1] recall 0.966667 [1,0.888889,0.971014,0,1,1] recall 0.977778 [1,1,0.971014,0,1,1] recall 0.977778 [0,1,0.985507,0,1,1] recall 0.966667 [1,0.8,0.985507,0,1,1] recall 0.966667 [1,1,0.956522,0,1,1] recall 0.944444 [1,0.7,0.985507,0,1,0.75] recall 0.966667 [1,0.8,0.985507,0,1,1] recall 0.944444 [1,0.888889,0.956522,0,1,0.75] recall 0.977778 [1,0.888889,0.985507,0,1,1] recall 0.944444 [1,0.9,0.956522,0,1,0.75] recall 0.977778 [1,0.9,0.985294,0,1,1] recall 0.977778 [1,0.9,0.985507,0,1,1] recall 0.966667 [1,0.8,1,0,1,0.75] recall 0.955556 [1,0.7,0.985507,0,1,1] recall 0.988889 [1,1,0.985507,0,1,1] recall 0.988889 [0,1,1,0,1,1] recall 0.977778 [0,0.9,1,0,1,1] recall 0.977778 [0,0.9,1,0,1,1] recall 0.966667 [0,0.9,0.985507,0,1,1] recall 0.977778 [1,0.9,0.985507,0,1,1] recall 0.944444 [0,1,0.941176,0,1,1] recall 0.933333 [0,0.7,0.971014,0,1,1] recall 0.977778 [1,0.9,1,0,1,0.75] recall 1 [1,1,1,0,1,1] recall 0.944444 [0,0.8,0.971014,0,1,1] recall 0.977778 [1,1,0.985294,0,1,0.75] recall 0.966667 [1,0.8,1,0,1,0.75] recall 0.966667 [0,0.9,0.985294,0,1,1] recall 0.977778 [0,0.9,1,0,1,1] recall 0.977778 [1,0.8,1,0,1,1] recall 0.955556 [0,0.9,0.970588,0,1,1] recall 0.966667 [0,0.888889,0.985507,0,1,1] recall 0.966667 [1,0.777778,0.985507,0,1,1] recall 0.966667 [0,1,0.985294,0,1,0.75] recall 0.955556 [0,0.666667,1,0,1,1] recall 0.944444 [0,0.7,0.985294,0,1,1] recall 0.966667 [0,0.777778,1,0,1,1] recall 0.966667 [1,0.9,0.970588,0,1,1] recall 0.977778 [1,0.9,0.985507,0,1,1] recall 0.955556 [0,1,0.955882,0,1,1] recall 0.944444 [1,0.8,0.955882,0,1,1] recall 0.966667 [0,0.9,0.985294,0,1,1] recall 0.966667 [1,0.9,0.970588,0,1,1] recall 0.955556 [0,0.9,0.970588,0,1,1] recall 0.988889 [1,0.9,1,0,1,1] recall 0.955556 [1,0.8,0.970588,0,1,1] recall 0.988889 [1,1,1,0,1,0.75] recall 0.944444 [1,0.6,1,0,1,0.75] recall 0.977778 [1,0.9,0.985294,0,1,1] recall 0.988889 [1,0.9,1,0,1,1] recall 0.988889 [1,0.9,1,0,1,1] recall 0.955556 [1,0.9,0.985294,0,1,0.5] recall 0.988889 [0,1,1,0,1,1] recall 0.977778 [1,0.9,1,0,1,0.75] recall 0.955556 [1,0.6,1,0,1,1] recall 0.988889 [1,0.9,1,0,1,1] recall 0.933333 [0,0.8,0.955882,0,1,1] recall 0.988889 [1,1,0.985294,0,1,1] recall 0.944444 [0,0.9,0.985294,0,1,0.5] recall 0.977778 [0,0.9,1,0,1,1] recall 0.966667 [1,0.7,1,0,1,1] recall 0.966667 [1,0.8,1,0,1,0.75] recall 0.977778 [1,0.8,1,0,1,1] recall 0.966667 [1,0.8,0.985294,0,1,1] recall 0.966667 [1,1,0.970588,0,1,0.75] recall 0.977778 [0,0.9,1,0,1,1] recall 0.955556 [1,0.8,0.970588,0,1,1] recall 0.977778 [0,1,0.985294,0,1,1] recall 0.966667 [1,0.9,0.970588,0,1,1] recall 0.966667 [1,0.7,1,0,1,1] recall 0.955556 [0,0.9,0.971014,0,1,1] recall 0.966667 [1,0.9,0.970588,0,1,1] recall 0.922222 [0,0.9,0.955882,0,1,0.5] recall 0.955556 [0,0.9,0.970588,0,1,1] recall 0.933333 [0,0.9,0.941176,0,1,1] recall 0.977778 [1,0.9,0.985294,0,1,1] recall 0.955556 [1,0.9,0.955882,0,1,1] recall 0.933333 [1,0.7,0.956522,0,1,1] recall 0.977778 [1,0.8,1,0,1,1] recall 0.94382 [0,0.9,0.941176,0,1,1] recall 0.955056 [0,0.8,0.985507,0,1,0.75] recall 0.977528 [0,0.9,0.985294,0,1,1] recall 1 [0,1,1,0,1,1] recall 0.988764 [0,0.9,1,0,1,1] recall 0.966292 [0,1,0.955882,0,1,1] recall 0.977528 [0,0.9,0.985507,0,1,1] recall 0.988764 [0,1,0.985294,0,1,1] recall 0.988764 [0,0.9,1,0,1,1] recall 0.966292 [0,0.9,0.970588,0,1,1] recall 0.966292 [0,0.9,0.985294,0,1,0.75] recall 0.988764 [0,1,1,0,1,0.75] recall 0.966292 [0,0.8,1,0,1,0.75] recall 0.94382 [0,0.8,0.955882,0,1,1] recall 0.955056 [0,0.777778,0.971014,0,1,1] recall 0.988764 [0,1,1,0,1,0.75] recall 0.988764 [0,0.9,1,0,1,1] recall 0.988764 [0,1,0.985294,0,1,1] recall 0.988764 [0,0.9,1,0,1,1] recall 0.966292 [0,0.8,0.985294,0,1,1] relative_absolute_error 0.105548 relative_absolute_error 0.121083 relative_absolute_error 0.120718 relative_absolute_error 0.161206 relative_absolute_error 0.115233 relative_absolute_error 0.149517 relative_absolute_error 0.198416 relative_absolute_error 0.183038 relative_absolute_error 0.220843 relative_absolute_error 0.093429 relative_absolute_error 0.152699 relative_absolute_error 0.085746 relative_absolute_error 0.116398 relative_absolute_error 0.15432 relative_absolute_error 0.184594 relative_absolute_error 0.111839 relative_absolute_error 0.131701 relative_absolute_error 0.106517 relative_absolute_error 0.132376 relative_absolute_error 0.124958 relative_absolute_error 0.108665 relative_absolute_error 0.110347 relative_absolute_error 0.203025 relative_absolute_error 0.11435 relative_absolute_error 0.057809 relative_absolute_error 0.159567 relative_absolute_error 0.137981 relative_absolute_error 0.157264 relative_absolute_error 0.104225 relative_absolute_error 0.121038 relative_absolute_error 0.071983 relative_absolute_error 0.164361 relative_absolute_error 0.115419 relative_absolute_error 0.113833 relative_absolute_error 0.139357 relative_absolute_error 0.120749 relative_absolute_error 0.174755 relative_absolute_error 0.112594 relative_absolute_error 0.116921 relative_absolute_error 0.160438 relative_absolute_error 0.142308 relative_absolute_error 0.145176 relative_absolute_error 0.123479 relative_absolute_error 0.102252 relative_absolute_error 0.173758 relative_absolute_error 0.062033 relative_absolute_error 0.152879 relative_absolute_error 0.129869 relative_absolute_error 0.169017 relative_absolute_error 0.130744 relative_absolute_error 0.151263 relative_absolute_error 0.112676 relative_absolute_error 0.153013 relative_absolute_error 0.099544 relative_absolute_error 0.118035 relative_absolute_error 0.128207 relative_absolute_error 0.067144 relative_absolute_error 0.177458 relative_absolute_error 0.067449 relative_absolute_error 0.149157 relative_absolute_error 0.115172 relative_absolute_error 0.132571 relative_absolute_error 0.128777 relative_absolute_error 0.136971 relative_absolute_error 0.090624 relative_absolute_error 0.201469 relative_absolute_error 0.107391 relative_absolute_error 0.132603 relative_absolute_error 0.093033 relative_absolute_error 0.135958 relative_absolute_error 0.13477 relative_absolute_error 0.154315 relative_absolute_error 0.118427 relative_absolute_error 0.226796 relative_absolute_error 0.117563 relative_absolute_error 0.194893 relative_absolute_error 0.11276 relative_absolute_error 0.155368 relative_absolute_error 0.1998 relative_absolute_error 0.112676 relative_absolute_error 0.207686 relative_absolute_error 0.146201 relative_absolute_error 0.076027 relative_absolute_error 0.067183 relative_absolute_error 0.091064 relative_absolute_error 0.10953 relative_absolute_error 0.164458 relative_absolute_error 0.067263 relative_absolute_error 0.0941 relative_absolute_error 0.101788 relative_absolute_error 0.128344 relative_absolute_error 0.111251 relative_absolute_error 0.132322 relative_absolute_error 0.159198 relative_absolute_error 0.164854 relative_absolute_error 0.085794 relative_absolute_error 0.131798 relative_absolute_error 0.078829 relative_absolute_error 0.121669 relative_absolute_error 0.114917 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 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