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Fig. 2 | Genetics Selection Evolution

Fig. 2

From: Deep learning versus parametric and ensemble methods for genomic prediction of complex phenotypes

Fig. 2

Predictive correlation (left panel) and mean squared error of prediction (right panel) of two conventional statistical methods (GBLUP and Bayes B) and four machine-learning methods including random forests (RF), gradient boosting (Boosting), multilayer perceptron (MLP) and convolutional neural network (CNN) using a real dataset of sire conception rate records from US Holstein bulls. The whiskers represent 95% confidence intervals

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