Table 2.

AUC and AUPR scores of AutoDTI ++ approach obtained under three prediction tasks ($S_p$, $S_d$, and $S_t$) overall datasets (NR, GPCR, IC, and E) by 5 repeats of tenfold CV

AutoDTI ++	NR	GPCR	IC	E
${\mathbf{S}}_{\mathbf{p}}$
AUPR	0.84	0.85	0.90	0.82
AUC	0.87	0.86	0.91	0.90
${\mathbf{S}}_{\mathbf{d}}$
AUPR	0.62	0.47	0.50	0.33
AUC	0.60	0.47	0.49	0.50
${\mathbf{S}}_{\mathbf{t}}$
AUPR	0.84	0.83	0.86	0.77
AUC	0.87	0.85	0.86	0.84