Table 3. Performance comparison with existing models.
| Model | Accuracy (%) | Precision (%) | Recall (%) | F1-Score (%) | AUC (%) |
|---|---|---|---|---|---|
| Logistic Regression | 85 | 83.4 | 86.5 | 84.9 | 88.2 |
| Random Forest | 88.4 | 86.7 | 90.2 | 88.4 | 91.5 |
| SVM | 86.3 | 84.9 | 87.1 | 86 | 89.7 |
| Standard LSTM | 91.2 | 90.1 | 91 | 90.5 | 93.8 |
| RA-BiLSTM 17 | 97.7 | 97.3 | 97.5 | 97.4 | 98.6 |
| X-TLRABiLSTM (Proposed) | 98.2 | 97.9 | 98.3 | 98.1 | 99.1 |