Table 1.

Average of testing set results of five cross validation replicates in the mouse data ( SE $=$ standard error)

Model	$Cor{r}_{\mathbf{y},\widehat{\mathbf{y}}}^{(P)}{\text{(SE)}}^{\mathrm{a}}$	$Cor{r}_{\mathbf{y},\widehat{\mathbf{y}}}^{(S)}{\text{(SE)}}^{\mathrm{b}}$	$\text{MSE}{\text{(SE)}}^{\mathrm{c}}$
ADD	0.321 (±0.067)	0.327 (±0.071)	0.00347 (±1.49$\times {10}^{-4}$)
POE	0.309 (±0.059)	0.318 (±0.076)	0.00371 (±1.53$\times {10}^{-4}$)

ADD additive model, POE parent-of-origin effects model

${}^{\mathrm{a}}$ $Cor{r}_{\mathbf{y},\widehat{\mathbf{y}}}^{(P)}$: Pearson’s correlation between observed and predicted value

${}^{\mathrm{b}}$ $Cor{r}_{\mathbf{y},\widehat{\mathbf{y}}}^{(S)}$: Spearman’s correlation between observed and predicted value

${}^{\mathrm{c}}$ $\text{MSE}$: Mean squared error