Table 3. Performance of models with different algorithms and encoding schemes.

Algorithms	Encoding Schemes	ACC (%)	Sp (%)	Sn (%)	MCC	AUC
SVM	BPB	99.84±0.21	99.88±0.25	99.81±0.28	0.9969±0.0041	0.9989±0.0031
	AAIndex	99.91±0.14	99.88±0.23	99.94±0.18	0.9981±0.0028	0.9992±0.0008
	PSSM	99.98±0.18	99.96±0.09	99.99±0.24	0.9992±0.0013	0.9996±0.0027
	BLOSUM62	99.84±0.25	99.91±0.18	99.69±0.50	0.9969±0.0050	0.9979±0.0012
	Binary	99.81±0.31	99.89±0.22	99.63±0.63	0.9963±0.0062	0.9989±0.0011
KNN	BPB	98.84±0.21	99.69±0.41	99.99±0.14	0.9969±0.0041	0.9996±0.0001
	AAIndex	84.26±1.61	69.01±3.34	99.51±0.77	0.7198±0.0258	0.9603±0.0109
	PSSM	99.13±0.38	98.27±0.77	99.98±0.29	0.9829±0.0076	0.9959±0.0014
	BLOSUM62	90.99±1.31	81.97±2.62	99.99±0.36	0.8336±0.0224	0.9818±0.0049
	Binary	83.46±1.64	66.91±3.28	99.98±0.63	0.7092±0.0261	0.9648±0.0122
Decision	BPB	97.99±0.62	97.59±0.80	98.39±0.88	0.9600±0.0124	0.9804±0.0078
Tree	AAIndex	96.60±1.26	93.64±2.21	99.57±0.62	0.9339±0.0242	0.9674±0.0128
	PSSM	97.31±0.63	96.23±0.97	98.39±1.00	0.9466±0.0127	0.9743±0.0085
	BLOSUM62	97.72±0.96	95.86±1.89	99.57±0.39	0.9551±0.0184	0.9791±0.0087
	Binary	96.60±0.62	93.52±1.08	99.69±0.41	0.9339±0.0119	0.9684±0.0079
Logistic	BPB	99.91±0.20	99.88±0.25	99.94±0.18	0.9981±0.0039	0.9993±0.0017
Regression	AAIndex	99.51±0.25	99.01±0.49	99.98±0.83	0.9902±0.0049	0.9989±0.0102
	PSSM	99.54±0.21	99.07±0.41	99.97±0.48	0.9908±0.0041	0.9991±0.0076
	BLOSUM62	99.72±0.29	99.44±0.58	99.98±0.62	0.9945±0.0058	0.9994±0.0076
	Binary	99.94±0.12	99.88±0.25	99.99±0.07	0.9988±0.0025	0.9996±0.0108
Naïve	BPB	99.54±0.32	99.57±0.62	99.51±0.25	0.9908±0.0063	0.9995±0.0004
Bayes	AAIndex	98.73±0.59	99.81±0.28	97.65±1.16	0.9750±0.0116	0.9964±0.0043
	PSSM	99.96±0.72	99.99±0.04	99.99±0.35	0.9991±0.0140	0.9994±0.0091
	BLOSUM62	97.78±0.94	99.13±0.63	96.42±1.43	0.9560±0.0187	0.9949±0.0033
	Binary	98.86±0.59	99.99±0.14	97.72±1.17	0.9775±0.0115	0.9883±0.0061