Table 5.

Performance evaluation with separate testing dataset.

Model	Accuracy	Sensitivity	Specificity	AUC	MCC
HA	98.78	0.988	0.992	0.997	0.976
M1	97.18	0.972	0.984	0.984	0.940
M2	97.09	0.971	0.971	0.993	0.939
NA	98.56	0.986	0.987	0.998	0.971
NP	97.56	0.976	0.965	0.991	0.946
NS1	97.86	0.979	0.976	0.994	0.953
NS2	97.63	0.976	1.000	0.976	0.948
PA	97.52	0.975	0.991	0.995	0.947
PB1	97.23	0.972	0.988	0.994	0.942
PB1-F2	98.54	0.985	0.988	0.994	0.957
PB2	97.89	0.979	0.991	0.996	0.956
Combined	99.83	0.998	1.000	0.998	0.997