Table 2. Comparison of our model with the existing methods through cross-validation on the training set (AAC features).

Method	Accuracy (%)	Recall (%)	Precision (%)	F1-score (%)
SVM	93.93±0.79	97.60±0.90	90.94±1.34	94.15±0.74
Bayes	93.50±0.70	93.53±0.87	93.48±1.17	93.50±0.68
Knn	94.27±1.39	92.73±1.88	95.66±1.26	94.17±1.43
DT	91.73±1.11	92.40±2.05	91.18±1.10	91.78±1.16
E-CLEAP	95.53±1.00	96.20±1.58	94.93±1.02	95.56±1.01