Table 4.

Comparison of Our Prediction Models with Existing Methods Using the Benchmark Dataset

Method	ACC	AUC-ROC	AUC-PR	Kappa	Sn	Sp	MCC	Reference
iAMP-2L	65.43	–	–	31.85	82.98	47.87	32.95	Xiao et al.10
iAMPpred	70.74	–	–	41.49	80.85	60.64	42.36	Meher et al.12
AmPEP	68.09	75.14	68.63	36.17	93.62	42.55	42.07	Bhadra et al.13
AMP Scanner DNN	73.40	80.66	77.78	46.81	80.85	65.96	47.34	Veltri et al.15
RF-AmPEP30	77.12	85.46	86.83	54.25	77.65	76.59	54.25	This study
Deep-AmPEP30	77.13	85.31	85.36	54.26	76.60	77.66	54.26	This study

All values were multiplied by 100.