Table 4.

MCNN-DDI results comparison with other models.

Method	ACC	F1	AUC	AUPR
MCNNDDI	0.9000	0.8286	0.9981	0.9478
DDIMDL	0.8852	0.7585	0.9976	0.9208
DeepDDI	0.8371	0.6848	0.9961	0.8899
RF	0.7775	0.5936	0.9956	0.8349
KNN	0.7214	0.4831	0.9813	0.7716
LR	0.7920	0.5948	0.9960	0.8400