Table 3.

Prediction results for simulation setting 2

	Prediction
Method	Sensitivity	Specificity	Accuracy	AUC
LASSO	0.63(0.05)	0.64(0.08)	0.62(0.02)	0.66(0.03)
Enet	0.61(0.04)	0.63(0.06)	0.61(0.03)	0.65(0.03)
Network	0.83(0.04)	0.85(0.06)	0.84(0.04)	0.92(0.04)
Abs-Network	0.85(0.05)	0.84(0.05)	0.84(0.03)	0.92(0.03)
Merge-LASSO	0.63(0.05)	0.63(0.06)	0.61(0.02)	0.66(0.02)
Merge-Enet	0.62(0.04)	0.63(0.07)	0.61(0.02)	0.66(0.02)
Merge-Network	0.82(0.04)	0.87(0.03)	0.84(0.03)	0.93(0.02)
Merge-Abs-Network	0.81(0.04)	0.86(0.04)	0.83(0.03)	0.92(0.03)
Int-LASSO	0.82(0.03)	0.89(0.03)	0.85(0.03)	0.93(0.02)
Int-Enet	0.82(0.04)	0.89(0.03)	0.85(0.03)	0.94(0.02)
Int-Network	0.88(0.04)	0.87(0.03)	0.87(0.02)	0.95(0.02)
Int-Abs-Network	0.89(0.04)	0.87(0.04)	0.88(0.02)	0.95(0.02)
MetaLasso	0.81(0.03)	0.82(0.04)	0.81(0.04)	0.90(0.03)

The sign of β is shown in (10), $\left({\overline{\beta }}_0^1,{\overline{\beta }}_0^2,{\overline{\beta }}_0^3,{\overline{\beta }}_0^4\right)=(-3,-1,1,3)$

The maximum value for each measure is highlighted using boldface font