Table 6.

Comparison of stat-of-the-art predictors with the proposed method on iMSP’s testing dataset.

Predictor	Sensitivity	Specificity	Accuracy	MCC	AUC
SecretomeP	0.632	0.787	0.762	0.340	0.764
SRTpred	0.678	0.802	0.782	0.392	0.770
iMSP-U	0.631	0.866	0.829	0.443	0.821
iMSP-H	0.538	0.908	0.850	0.441	0.817
SCRIP	0.716	0.884	0.858	0.537	0.865