10435260 9307 chimi wangmo 4459 Supervised Classification predictive_accuracy 17476 weka.classifiers.functions.Logistic(3) 8259112 weka.classifiers.functions.Logistic -R 1.0E-8 -M -1 -num-decimal-places 4 C ["false"] 17476 R ["1.0E-8"] 17476 M ["-1"] 17476 output-debug-info ["false"] 17476 -do-not-check-capabilities ["false"] 17476 num-decimal-places ["4"] 17476 weka weka_3.9.4 891 sleuth_case1202 https://www.openml.org/data/download/53425/sleuth_case1202.arff -1 21793380 description https://api.openml.org/data/download/21793380/run13183461072067016244.xml -1 21793381 predictions https://api.openml.org/data/download/21793381/weka_generated_predictions10459061573454957942.arff area_under_roc_curve 0.8930872319688109 [0.893087,0.893087] average_cost 0 f_measure 0.8119586692209124 [0.849741,0.752137] kappa 0.6020362992474546 kb_relative_information_score 0.527260364392326 mean_absolute_error 0.22947018709677422 mean_prior_absolute_error 0.4750424448217326 weighted_recall 0.8129032258064516 [0.863158,0.733333] number_of_instances 930 [570,360] os_information ['Azul Systems, Inc.', '11.0.5', 'amd64', 'Windows 7', '6.1'] precision 0.8116489380132358 [0.836735,0.77193] predictive_accuracy 0.8129032258064517 prior_entropy 0.9629175665576654 relative_absolute_error 0.4830519664045739 root_mean_prior_squared_error 0.48709189205295583 root_mean_squared_error 0.3665944529178558 root_relative_squared_error 0.7526186719568723 scimark_benchmark 979.7764261752749 [519.2737888768725, 881.0951925646572, 472.80575397915436, 812.8496364401185, 2212.857759015572] total_cost 0 unweighted_recall 0.7982456140350878 [0.863158,0.733333] area_under_roc_curve 0.9583333333333334 [0.958333,0.958333] area_under_roc_curve 0.9583333333333334 [0.958333,0.958333] area_under_roc_curve 0.9583333333333334 [0.958333,0.958333] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.6666666666666666 [0.666667,0.666667] area_under_roc_curve 0.7916666666666666 [0.791667,0.791667] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.8333333333333334 [0.833333,0.833333] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.7916666666666666 [0.791667,0.791667] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 0.8333333333333334 [0.833333,0.833333] area_under_roc_curve 0.9166666666666666 [0.916667,0.916667] area_under_roc_curve 0.8333333333333334 [0.833333,0.833333] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 0.9166666666666666 [0.916667,0.916667] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 0.9583333333333334 [0.958333,0.958333] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.7916666666666666 [0.791667,0.791667] area_under_roc_curve 0.9583333333333334 [0.958333,0.958333] area_under_roc_curve 0.9583333333333334 [0.958333,0.958333] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.8888888888888888 [0.888889,0.888889] area_under_roc_curve 0.9500000000000001 [0.95,0.95] area_under_roc_curve 0.7777777777777778 [0.777778,0.777778] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.8333333333333334 [0.833333,0.833333] area_under_roc_curve 0.9444444444444444 [0.944444,0.944444] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.8999999999999999 [0.9,0.9] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.8888888888888888 [0.888889,0.888889] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.9444444444444444 [0.944444,0.944444] area_under_roc_curve 0.9500000000000001 [0.95,0.95] area_under_roc_curve 0.8888888888888888 [0.888889,0.888889] area_under_roc_curve 0.8888888888888888 [0.888889,0.888889] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.8999999999999999 [0.9,0.9] area_under_roc_curve 0.8333333333333334 [0.833333,0.833333] area_under_roc_curve 0.9444444444444444 [0.944444,0.944444] area_under_roc_curve 0.8333333333333334 [0.833333,0.833333] area_under_roc_curve 0.6499999999999999 [0.65,0.65] area_under_roc_curve 0.8888888888888888 [0.888889,0.888889] area_under_roc_curve 0.8500000000000001 [0.85,0.85] area_under_roc_curve 0.8888888888888888 [0.888889,0.888889] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.9444444444444444 [0.944444,0.944444] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.9444444444444444 [0.944444,0.944444] area_under_roc_curve 0.7777777777777778 [0.777778,0.777778] area_under_roc_curve 0.8888888888888888 [0.888889,0.888889] area_under_roc_curve 0.8888888888888888 [0.888889,0.888889] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.9444444444444444 [0.944444,0.944444] area_under_roc_curve 0.8333333333333334 [0.833333,0.833333] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.9444444444444444 [0.944444,0.944444] area_under_roc_curve 0.8333333333333334 [0.833333,0.833333] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.8999999999999999 [0.9,0.9] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.9500000000000001 [0.95,0.95] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.9500000000000001 [0.95,0.95] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.8500000000000001 [0.85,0.85] area_under_roc_curve 0.8888888888888888 [0.888889,0.888889] area_under_roc_curve 0.8500000000000001 [0.85,0.85] area_under_roc_curve 0.6499999999999999 [0.65,0.65] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.8333333333333334 [0.833333,0.833333] area_under_roc_curve 0.8999999999999999 [0.9,0.9] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.9500000000000001 [0.95,0.95] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.9444444444444444 [0.944444,0.944444] area_under_roc_curve 0.8999999999999999 [0.9,0.9] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.8500000000000001 [0.85,0.85] area_under_roc_curve 0.9500000000000001 [0.95,0.95] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.8333333333333334 [0.833333,0.833333] area_under_roc_curve 0.8500000000000001 [0.85,0.85] area_under_roc_curve 0.6000000000000001 [0.6,0.6] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.8 [0.833333,0.75] f_measure 0.7809523809523808 [0.857143,0.666667] f_measure 0.8 [0.833333,0.75] f_measure 0.505050505050505 [0.545455,0.444444] f_measure 1 [1,1] f_measure 0.6 [0.6,0.6] f_measure 0.8 [0.833333,0.75] f_measure 0.8 [0.833333,0.75] f_measure 0.901010101010101 [0.909091,0.888889] f_measure 0.6901098901098901 [0.769231,0.571429] f_measure 0.7809523809523808 [0.857143,0.666667] f_measure 1 [1,1] f_measure 0.8 [0.833333,0.75] f_measure 0.7809523809523808 [0.857143,0.666667] f_measure 0.7030303030303029 [0.727273,0.666667] f_measure 0.901010101010101 [0.909091,0.888889] f_measure 0.901010101010101 [0.909091,0.888889] f_measure 0.8 [0.8,0.8] f_measure 0.7809523809523808 [0.857143,0.666667] f_measure 1 [1,1] f_measure 0.8967032967032967 [0.923077,0.857143] f_measure 0.7030303030303029 [0.727273,0.666667] f_measure 0.8967032967032967 [0.923077,0.857143] f_measure 0.6901098901098901 [0.769231,0.571429] f_measure 0.8967032967032967 [0.923077,0.857143] f_measure 0.8967032967032967 [0.923077,0.857143] f_measure 0.6 [0.666667,0.5] f_measure 0.8 [0.833333,0.75] f_measure 0.8 [0.833333,0.75] f_measure 0.901010101010101 [0.909091,0.888889] f_measure 0.6753246753246753 [0.727273,0.571429] f_measure 0.7777777777777779 [0.8,0.75] f_measure 0.6753246753246753 [0.727273,0.571429] f_measure 0.6666666666666665 [0.666667,0.666667] f_measure 0.7777777777777778 [0.833333,0.666667] f_measure 0.882051282051282 [0.923077,0.8] f_measure 1 [1,1] f_measure 0.7592592592592591 [0.833333,0.666667] f_measure 0.882051282051282 [0.923077,0.8] f_measure 0.882051282051282 [0.923077,0.8] f_measure 0.7833333333333334 [0.8,0.75] f_measure 1 [1,1] f_measure 0.7777777777777778 [0.833333,0.666667] f_measure 0.886002886002886 [0.909091,0.857143] f_measure 0.738095238095238 [0.857143,0.5] f_measure 0.882051282051282 [0.923077,0.8] f_measure 1 [1,1] f_measure 0.6580086580086579 [0.727273,0.571429] f_measure 0.7833333333333334 [0.8,0.75] f_measure 0.882051282051282 [0.923077,0.8] f_measure 0.7777777777777778 [0.833333,0.666667] f_measure 0.5555555555555556 [0.6,0.5] f_measure 0.882051282051282 [0.923077,0.8] f_measure 0.7777777777777779 [0.8,0.75] f_measure 0.7833333333333334 [0.8,0.75] f_measure 0.882051282051282 [0.923077,0.8] f_measure 0.882051282051282 [0.923077,0.8] f_measure 0.7777777777777779 [0.8,0.75] f_measure 0.8917748917748918 [0.909091,0.857143] f_measure 0.6753246753246753 [0.727273,0.571429] f_measure 0.8917748917748918 [0.909091,0.857143] f_measure 0.7777777777777778 [0.833333,0.666667] f_measure 1 [1,1] f_measure 1 [1,1] f_measure 0.8917748917748918 [0.909091,0.857143] f_measure 0.7833333333333334 [0.8,0.75] f_measure 1 [1,1] f_measure 0.882051282051282 [0.923077,0.8] f_measure 0.7777777777777778 [0.833333,0.666667] f_measure 0.882051282051282 [0.923077,0.8] f_measure 0.7777777777777779 [0.8,0.75] f_measure 0.882051282051282 [0.923077,0.8] f_measure 0.7777777777777779 [0.8,0.75] f_measure 1 [1,1] f_measure 0.8888888888888888 [0.888889,0.888889] f_measure 0.7777777777777779 [0.8,0.75] f_measure 0.7777777777777779 [0.8,0.75] f_measure 0.8917748917748918 [0.909091,0.857143] f_measure 0.7777777777777779 [0.8,0.75] f_measure 0.6666666666666665 [0.666667,0.666667] f_measure 0.886002886002886 [0.909091,0.857143] f_measure 0.7777777777777778 [0.833333,0.666667] f_measure 0.7777777777777779 [0.8,0.75] f_measure 1 [1,1] f_measure 0.886002886002886 [0.909091,0.857143] f_measure 0.6051282051282052 [0.769231,0.4] f_measure 0.8917748917748918 [0.909091,0.857143] f_measure 0.7592592592592591 [0.833333,0.666667] f_measure 0.7777777777777779 [0.8,0.75] f_measure 0.6580086580086579 [0.727273,0.571429] f_measure 0.7777777777777778 [0.833333,0.666667] f_measure 0.7777777777777779 [0.8,0.75] f_measure 1 [1,1] f_measure 0.6051282051282052 [0.769231,0.4] f_measure 0.886002886002886 [0.909091,0.857143] f_measure 0.6580086580086579 [0.727273,0.571429] f_measure 0.7777777777777778 [0.833333,0.666667] f_measure 0.6580086580086579 [0.727273,0.571429] f_measure 0.6666666666666665 [0.666667,0.666667] kappa 0.5833333333333334 kappa 0.5454545454545455 kappa 0.5833333333333334 kappa 0 kappa 1 kappa 0.23076923076923075 kappa 0.5833333333333334 kappa 0.5833333333333334 kappa 0.8 kappa 0.3478260869565216 kappa 0.5454545454545455 kappa 1 kappa 0.5833333333333334 kappa 0.5454545454545455 kappa 0.3999999999999999 kappa 0.8 kappa 0.8 kappa 0.6153846153846155 kappa 0.5454545454545455 kappa 1 kappa 0.782608695652174 kappa 0.3999999999999999 kappa 0.782608695652174 kappa 0.3478260869565216 kappa 0.782608695652174 kappa 0.782608695652174 kappa 0.1666666666666666 kappa 0.5833333333333334 kappa 0.5833333333333334 kappa 0.8 kappa 0.30769230769230765 kappa 0.55 kappa 0.30769230769230765 kappa 0.3414634146341463 kappa 0.5 kappa 0.7272727272727272 kappa 1 kappa 0.5263157894736842 kappa 0.7272727272727272 kappa 0.7272727272727272 kappa 0.5714285714285714 kappa 1 kappa 0.5 kappa 0.7692307692307692 kappa 0.4 kappa 0.7272727272727272 kappa 1 kappa 0.30769230769230765 kappa 0.5714285714285714 kappa 0.7272727272727272 kappa 0.5 kappa 0.1 kappa 0.7272727272727272 kappa 0.55 kappa 0.5714285714285714 kappa 0.7272727272727272 kappa 0.7272727272727272 kappa 0.55 kappa 0.7692307692307692 kappa 0.30769230769230765 kappa 0.7692307692307692 kappa 0.5 kappa 1 kappa 1 kappa 0.7692307692307692 kappa 0.5714285714285714 kappa 1 kappa 0.7272727272727272 kappa 0.5 kappa 0.7272727272727272 kappa 0.55 kappa 0.7272727272727272 kappa 0.55 kappa 1 kappa 0.7804878048780487 kappa 0.55 kappa 0.55 kappa 0.7692307692307692 kappa 0.55 kappa 0.3414634146341463 kappa 0.7692307692307692 kappa 0.5 kappa 0.55 kappa 1 kappa 0.7692307692307692 kappa 0.27027027027027023 kappa 0 kappa 0.7692307692307692 kappa 0.5263157894736842 kappa 0.55 kappa 0.30769230769230765 kappa 0.5 kappa 0.55 kappa 1 kappa 0.27027027027027023 kappa 0.7692307692307692 kappa 0.30769230769230765 kappa 0.5 kappa 0.30769230769230765 kappa 0.3414634146341463 kb_relative_information_score 0.6009321488649939 kb_relative_information_score 0.484173945087684 kb_relative_information_score 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[1,0.5] unweighted_recall 1 [1,1] unweighted_recall 0.875 [1,0.75] unweighted_recall 0.7083333333333333 [0.666667,0.75] unweighted_recall 0.875 [1,0.75] unweighted_recall 0.6666666666666667 [0.833333,0.5] unweighted_recall 0.875 [1,0.75] unweighted_recall 0.875 [1,0.75] unweighted_recall 0.5833333333333333 [0.666667,0.5] unweighted_recall 0.7916666666666667 [0.833333,0.75] unweighted_recall 0.7916666666666667 [0.833333,0.75] unweighted_recall 0.9166666666666667 [0.833333,1] unweighted_recall 0.6666666666666666 [0.666667,0.666667] unweighted_recall 0.775 [0.8,0.75] unweighted_recall 0.6666666666666666 [0.666667,0.666667] unweighted_recall 0.675 [0.6,0.75] unweighted_recall 0.75 [0.833333,0.666667] unweighted_recall 0.8333333333333333 [1,0.666667] unweighted_recall 1 [1,1] unweighted_recall 0.75 [1,0.5] unweighted_recall 0.8333333333333333 [1,0.666667] unweighted_recall 0.8333333333333333 [1,0.666667] unweighted_recall 0.8333333333333333 [0.666667,1] unweighted_recall 1 [1,1] unweighted_recall 0.75 [0.833333,0.666667] unweighted_recall 0.875 [1,0.75] unweighted_recall 0.6666666666666666 [1,0.333333] unweighted_recall 0.8333333333333333 [1,0.666667] unweighted_recall 1 [1,1] unweighted_recall 0.65 [0.8,0.5] unweighted_recall 0.8333333333333333 [0.666667,1] unweighted_recall 0.8333333333333333 [1,0.666667] unweighted_recall 0.75 [0.833333,0.666667] unweighted_recall 0.55 [0.6,0.5] unweighted_recall 0.8333333333333333 [1,0.666667] unweighted_recall 0.775 [0.8,0.75] unweighted_recall 0.8333333333333333 [0.666667,1] unweighted_recall 0.8333333333333333 [1,0.666667] unweighted_recall 0.8333333333333333 [1,0.666667] unweighted_recall 0.775 [0.8,0.75] unweighted_recall 0.9166666666666667 [0.833333,1] unweighted_recall 0.6666666666666666 [0.666667,0.666667] unweighted_recall 0.9166666666666667 [0.833333,1] unweighted_recall 0.75 [0.833333,0.666667] unweighted_recall 1 [1,1] unweighted_recall 1 [1,1] unweighted_recall 0.9166666666666667 [0.833333,1] unweighted_recall 0.8333333333333333 [0.666667,1] unweighted_recall 1 [1,1] unweighted_recall 0.8333333333333333 [1,0.666667] unweighted_recall 0.75 [0.833333,0.666667] unweighted_recall 0.8333333333333333 [1,0.666667] unweighted_recall 0.775 [0.8,0.75] unweighted_recall 0.8333333333333333 [1,0.666667] unweighted_recall 0.775 [0.8,0.75] unweighted_recall 1 [1,1] unweighted_recall 0.9 [0.8,1] unweighted_recall 0.775 [0.8,0.75] unweighted_recall 0.775 [0.8,0.75] unweighted_recall 0.9166666666666667 [0.833333,1] unweighted_recall 0.775 [0.8,0.75] unweighted_recall 0.675 [0.6,0.75] unweighted_recall 0.875 [1,0.75] unweighted_recall 0.75 [0.833333,0.666667] unweighted_recall 0.775 [0.8,0.75] unweighted_recall 1 [1,1] unweighted_recall 0.875 [1,0.75] unweighted_recall 0.625 [1,0.25] unweighted_recall 0.5 [1,0] unweighted_recall 0.9166666666666667 [0.833333,1] unweighted_recall 0.75 [1,0.5] unweighted_recall 0.775 [0.8,0.75] unweighted_recall 0.65 [0.8,0.5] unweighted_recall 0.75 [0.833333,0.666667] unweighted_recall 0.775 [0.8,0.75] unweighted_recall 1 [1,1] unweighted_recall 0.625 [1,0.25] unweighted_recall 0.875 [1,0.75] unweighted_recall 0.65 [0.8,0.5] unweighted_recall 0.75 [0.833333,0.666667] unweighted_recall 0.65 [0.8,0.5] unweighted_recall 0.675 [0.6,0.75] usercpu_time_millis 15.6001 usercpu_time_millis 15.6001 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 15.6001 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 15.6001 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 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wall_clock_time_millis_training 2 wall_clock_time_millis_training 2 wall_clock_time_millis_training 2 wall_clock_time_millis_training 2 wall_clock_time_millis_training 3 wall_clock_time_millis_training 2 wall_clock_time_millis_training 2 wall_clock_time_millis_training 2 wall_clock_time_millis_training 3 wall_clock_time_millis_training 2 wall_clock_time_millis_training 2 wall_clock_time_millis_training 2 wall_clock_time_millis_training 2 wall_clock_time_millis_training 1 wall_clock_time_millis_training 2 wall_clock_time_millis_training 1 wall_clock_time_millis_training 2 wall_clock_time_millis_training 2 wall_clock_time_millis_training 1 wall_clock_time_millis_training 2 wall_clock_time_millis_training 2 wall_clock_time_millis_training 2 wall_clock_time_millis_training 1 wall_clock_time_millis_training 3 wall_clock_time_millis_training 3 wall_clock_time_millis_training 1 wall_clock_time_millis_training 2 wall_clock_time_millis_training 2 wall_clock_time_millis_training 2 wall_clock_time_millis_training 2 wall_clock_time_millis_training 3 wall_clock_time_millis_training 3 wall_clock_time_millis_training 2 wall_clock_time_millis_training 2 wall_clock_time_millis_training 2 wall_clock_time_millis_training 2 wall_clock_time_millis_training 2 wall_clock_time_millis_training 1 wall_clock_time_millis_training 1 wall_clock_time_millis_training 2 wall_clock_time_millis_training 2 wall_clock_time_millis_training 2 wall_clock_time_millis_training 2 wall_clock_time_millis_training 2 wall_clock_time_millis_training 2 wall_clock_time_millis_training 1 wall_clock_time_millis_training 11 wall_clock_time_millis_training 2 wall_clock_time_millis_training 1 wall_clock_time_millis_training 2 wall_clock_time_millis_training 1 wall_clock_time_millis_training 2 wall_clock_time_millis_training 3 wall_clock_time_millis_training 3 wall_clock_time_millis_training 1 wall_clock_time_millis_training 1 wall_clock_time_millis_training 2 wall_clock_time_millis_training 2 wall_clock_time_millis_training 2 wall_clock_time_millis_training 1 wall_clock_time_millis_training 2 wall_clock_time_millis_training 2 wall_clock_time_millis_training 2 wall_clock_time_millis_training 9 wall_clock_time_millis_training 1 wall_clock_time_millis_training 1 wall_clock_time_millis_training 2 wall_clock_time_millis_training 2 wall_clock_time_millis_training 2 wall_clock_time_millis_training 2 wall_clock_time_millis_training 1 wall_clock_time_millis_training 1 wall_clock_time_millis_training 2 wall_clock_time_millis_training 1 wall_clock_time_millis_training 2 wall_clock_time_millis_training 1 wall_clock_time_millis_training 1 wall_clock_time_millis_training 1 wall_clock_time_millis_training 1 wall_clock_time_millis_training 2 wall_clock_time_millis_training 3 wall_clock_time_millis_training 2 wall_clock_time_millis_training 2 wall_clock_time_millis_training 1 wall_clock_time_millis_training 1 wall_clock_time_millis_training 1 wall_clock_time_millis_training 1 wall_clock_time_millis_training 1 wall_clock_time_millis_training 1 wall_clock_time_millis_training 2 wall_clock_time_millis_training 2 weighted_recall 0.8 [0.833333,0.75] weighted_recall 0.8 [1,0.5] weighted_recall 0.8 [0.833333,0.75] weighted_recall 0.5 [0.5,0.5] weighted_recall 1 [1,1] weighted_recall 0.6 [0.5,0.75] weighted_recall 0.8 [0.833333,0.75] weighted_recall 0.8 [0.833333,0.75] weighted_recall 0.9 [0.833333,1] weighted_recall 0.7 [0.833333,0.5] weighted_recall 0.8 [1,0.5] weighted_recall 1 [1,1] weighted_recall 0.8 [0.833333,0.75] weighted_recall 0.8 [1,0.5] weighted_recall 0.7 [0.666667,0.75] weighted_recall 0.9 [0.833333,1] weighted_recall 0.9 [0.833333,1] weighted_recall 0.8 [0.666667,1] weighted_recall 0.8 [1,0.5] weighted_recall 1 [1,1] weighted_recall 0.9 [1,0.75] weighted_recall 0.7 [0.666667,0.75] weighted_recall 0.9 [1,0.75] weighted_recall 0.7 [0.833333,0.5] weighted_recall 0.9 [1,0.75] weighted_recall 0.9 [1,0.75] weighted_recall 0.6 [0.666667,0.5] weighted_recall 0.8 [0.833333,0.75] weighted_recall 0.8 [0.833333,0.75] weighted_recall 0.9 [0.833333,1] weighted_recall 0.6666666666666666 [0.666667,0.666667] weighted_recall 0.7777777777777778 [0.8,0.75] weighted_recall 0.6666666666666666 [0.666667,0.666667] weighted_recall 0.6666666666666666 [0.6,0.75] weighted_recall 0.7777777777777778 [0.833333,0.666667] weighted_recall 0.8888888888888888 [1,0.666667] weighted_recall 1 [1,1] weighted_recall 0.7777777777777778 [1,0.5] weighted_recall 0.8888888888888888 [1,0.666667] weighted_recall 0.8888888888888888 [1,0.666667] weighted_recall 0.7777777777777778 [0.666667,1] weighted_recall 1 [1,1] weighted_recall 0.7777777777777778 [0.833333,0.666667] weighted_recall 0.8888888888888888 [1,0.75] weighted_recall 0.7777777777777778 [1,0.333333] weighted_recall 0.8888888888888888 [1,0.666667] weighted_recall 1 [1,1] weighted_recall 0.6666666666666666 [0.8,0.5] weighted_recall 0.7777777777777778 [0.666667,1] weighted_recall 0.8888888888888888 [1,0.666667] weighted_recall 0.7777777777777778 [0.833333,0.666667] weighted_recall 0.5555555555555556 [0.6,0.5] weighted_recall 0.8888888888888888 [1,0.666667] weighted_recall 0.7777777777777778 [0.8,0.75] weighted_recall 0.7777777777777778 [0.666667,1] weighted_recall 0.8888888888888888 [1,0.666667] weighted_recall 0.8888888888888888 [1,0.666667] weighted_recall 0.7777777777777778 [0.8,0.75] weighted_recall 0.8888888888888888 [0.833333,1] weighted_recall 0.6666666666666666 [0.666667,0.666667] weighted_recall 0.8888888888888888 [0.833333,1] weighted_recall 0.7777777777777778 [0.833333,0.666667] weighted_recall 1 [1,1] weighted_recall 1 [1,1] weighted_recall 0.8888888888888888 [0.833333,1] weighted_recall 0.7777777777777778 [0.666667,1] weighted_recall 1 [1,1] weighted_recall 0.8888888888888888 [1,0.666667] weighted_recall 0.7777777777777778 [0.833333,0.666667] weighted_recall 0.8888888888888888 [1,0.666667] weighted_recall 0.7777777777777778 [0.8,0.75] weighted_recall 0.8888888888888888 [1,0.666667] weighted_recall 0.7777777777777778 [0.8,0.75] weighted_recall 1 [1,1] weighted_recall 0.8888888888888888 [0.8,1] weighted_recall 0.7777777777777778 [0.8,0.75] weighted_recall 0.7777777777777778 [0.8,0.75] weighted_recall 0.8888888888888888 [0.833333,1] weighted_recall 0.7777777777777778 [0.8,0.75] weighted_recall 0.6666666666666666 [0.6,0.75] weighted_recall 0.8888888888888888 [1,0.75] weighted_recall 0.7777777777777778 [0.833333,0.666667] weighted_recall 0.7777777777777778 [0.8,0.75] weighted_recall 1 [1,1] weighted_recall 0.8888888888888888 [1,0.75] weighted_recall 0.6666666666666666 [1,0.25] weighted_recall 0.5555555555555556 [1,0] weighted_recall 0.8888888888888888 [0.833333,1] weighted_recall 0.7777777777777778 [1,0.5] weighted_recall 0.7777777777777778 [0.8,0.75] weighted_recall 0.6666666666666666 [0.8,0.5] weighted_recall 0.7777777777777778 [0.833333,0.666667] weighted_recall 0.7777777777777778 [0.8,0.75] weighted_recall 1 [1,1] weighted_recall 0.6666666666666666 [1,0.25] weighted_recall 0.8888888888888888 [1,0.75] weighted_recall 0.6666666666666666 [0.8,0.5] weighted_recall 0.7777777777777778 [0.833333,0.666667] weighted_recall 0.6666666666666666 [0.8,0.5] weighted_recall 0.6666666666666666 [0.6,0.75]