Table 1 Open in new tab Comparison of...

Table 1

Comparison of performance between DeepIRES and other deep learning models with different model architectures on balanced testing data.

Model	Sn (%)	Sp (%)	ACC (%)	MCC	F1-score	AUROC
CNN	44.23	84.13	64.18	0.3101	0.5519	0.7396
CNN-GRU	53.49	85.66	69.58	0.4137	0.6373	0.7763
CNN-GRU-ATT	71.64	82.75	77.20	0.5477	0.7584	0.8585
DeepIRES	72.12	82.81	77.46	0.5531	0.7618	0.8680

Model	Sn (%)	Sp (%)	ACC (%)	MCC	F1-score	AUROC
CNN	44.23	84.13	64.18	0.3101	0.5519	0.7396
CNN-GRU	53.49	85.66	69.58	0.4137	0.6373	0.7763
CNN-GRU-ATT	71.64	82.75	77.20	0.5477	0.7584	0.8585
DeepIRES	72.12	82.81	77.46	0.5531	0.7618	0.8680