Table 4.

Performances of 10-fold cross-validation test based on the AMP training dataset

Sequence identity	Sensitivity	Specificity	Accuracy	MCC	AUC
40%	0.5065 (0.0648)	0.9929 (0.0032)	0.7497 (0.0309)	0.6312 (0.0276)	0.9541 (0.0070)
50%	0.8265 (0.0493)	0.9874 (0.0048)	0.9070 (0.0227)	0.8492 (0.0191)	0.9841 (0.0023)
60%	0.8960 (0.0145)	0.9890 (0.0031)	0.9425 (0.0065)	0.9040 (0.0085)	0.9910 (0.0011)
70%	0.9034 (0.0158)	0.9914 (0.0026)	0.9474 (0.0068)	0.9147 (0.0053)	0.9930 (0.0012)
80%	0.8972 (0.0207)	0.9942 (0.0022)	0.9457 (0.0094)	0.9187 (0.0071)	0.9941 (0.0006)
90%	0.9270 (0.0122)	0.9942 (0.0011)	0.9606 (0.0060)	0.9370 (0.0075)	0.9958 (0.0009)
100%	0.9409 (0.0124)	0.9961 (0.0021)	0.9685 (0.0053)	0.9518 (0.0032)	0.9972 (0.0003)