Table 7. Predictive performance of different approaches based on the binary transformation for dataset 2 and 3.

	Dataset 2			Dataset 3
Method	ER (SD)	AUC (SD)	AUPRC (SD)	ER (SD)	AUC (SD)	AUPRC (SD)
LASSO	0.44 (0.05)	0.56 (0.05)	0.56 (0.12)	0.45 (0.07)	0.56 (0.06)	0.55 (0.13)
ZINB+GLM	0.39 (0.05)	0.61 (0.06)	0.62 (0.11)	0.42 (0.08)	0.58 (0.07)	0.59 (0.13)
TPNB+GLM	0.39 (0.06)	0.62 (0.07)	0.63 (0.12)	0.41 (0.08)	0.59 (0.07)	0.6 (0.13)
NB+GLM	0.38 (0.05)	0.62 (0.06)	0.62 (0.12)	0.41 (0.07)	0.59 (0.07)	0.6 (0.13)
ZINB+LASSO	0.39 (0.05)	0.61 (0.06)	0.62 (0.11)	0.41 (0.07)	0.59 (0.07)	0.6 (0.13)
TPNB+LASSO	0.39 (0.06)	0.62 (0.07)	0.63 (0.12)	0.4 (0.07)	0.59 (0.08)	0.61 (0.13)
NB+LASSO	0.38 (0.05)	0.62 (0.06)	0.62 (0.12)	0.41 (0.07)	0.59 (0.08)	0.61 (0.13)