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Table 1 Accuracy (standard error across replicates in parentheses), measured as Pearson correlation between predicted and true genomic assisted values, and area under the operating characteristic curve for different methods and number of QTL

From: Genome-wide prediction of discrete traits using bayesian regressions and machine learning

  # QTL TBA BTL RF L2B LhB
Pearson correlation 90 0.26
(0.03)
0.33
(0.04)
0.36
(0.04)
0.37
(0.07)
0.41 1
(0.07)
  1000 0.32 (0.16) 0.35 (0.01) 0.30 (0.03) 0.24 (0.01) 0.34 (0.02)
AUC 90 0.61
(0.01)
0.65
(0.02)
0.70
(0.02)
0.65
(0.04)
0.69
(0.03)
  1000 0.66 (0.01) 0.66 (0.00) 0.69 (0.01) 0.63 (0.01) 0.66 (0.01)
  1. 1Higher value is desirable; the best value is in bold face; TBA = Threshold Bayes A, BTL = Bayesian Threshold LASSO, RF = Random Forest; L2B = L2-boosting algorithm, LhB = Lh-boosting algorithm