Table 5.

Performance comparison of deepstacked-AVPs method with existing models

Dataset	Predictor	Acc (%)	Sn (%)	Sp (%)	MCC
Training dataset	AVPpred [8]	85.00	82.20	88.20	0.70
	Chang et al. [9]	85.10	86.60	83.00	0.70
	Meta-iAVP [16]	88.20	89.20	86.90	0.76
	Chowdhury et al. [54]	92.40	93.30	91.10	0.84
	Deepstacked-AVPs	96.60	94.85	97.35	0.92
Independent dataset	AVPpred [8]	92.50	93.30	91.70	0.85
	Chang et al. [9]	93.30	91.70	95.00	0.87
	Meta-iAVP [16]	94.90	91.70	98.30	0.90
	AntiVPP 1.0 [12]	93.00	87.00	97.00	0.87
	Deepstacked-AVPs	95.15	96.27	94.91	0.90