Table 2.

Result analysis of existing methods with proposed methods.

Models	Sensitivity	Specificity	Precision	Accuracy	F-score
RCAL-BiLSTM	93.28	94.61	94.90	94.88	93.10
CNN	90.80	91.08	91.48	90.94	–
DTL	92.08	94.44	94.81	93.20	–
MLP	93.00	–	93.00	93.13	93.00
LR	93.00	–	92.00	92.12	92.00
XGBoost	92.00	–	92.00	91.57	92.00
KNN	89.00	–	89.00	88.91	89.00
DT	87.00	–	87.00	86.71	87.00
Xiaowei Xu et al.	86.67	–	86.86	86.70	86.70