Table 7. Evaluation effect under different algorithms.
| Algorithm name | Accuracy | F1 score | Precision rate | Recall rate |
|---|---|---|---|---|
| SA-BO-CNN | 0.9836 | 0.9900 | 0.9906 | 0.9900 |
| CNN-BiLSTM (Shrinidhi, Kaushik Jegannathan & Jeya, 2023) |
0.8358 | 0.8114 | 0.7965 | 0.8039 |
| Naive Bayes (Yu et al., 2014) | 0.8885 | 0.906 | 0.913 | 0.899 |
| CNN-IDMDI (Banerjee et al., 2020) | 0.9873 | 0.9874 | 0.9875 | 0.9873 |