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Fig. 2 | BMC Genomics

Fig. 2

From: Genomic prediction using machine learning: a comparison of the performance of regularized regression, ensemble, instance-based and deep learning methods on synthetic and empirical data

Fig. 2

Prediction accuracy (PA) of the regularized, adaptive regularized and Bayesian regularized methods, computed as the Pearson correlation coefficient between the true breeding values (TBVs) and the predicted breeding values (PBVs), for the simulated dataset, where \(T_1-T_3\) refer to three quantitative milk traits. The choice of \(\lambda\), where applicable, was based on the 10-fold CV. The mean squared and absolute prediction errors are also provided. See Table S2 for details

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BMC Genomics

ISSN: 1471-2164

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