Table 4 The comparison results for the network efficiency.
Architecture | Accuracy (%) | Precision (%) | Recall (%) | F1-score (%) |
|---|---|---|---|---|
BRNN | 94.3 | 93.51 | 94.53 | 92.47 |
CNN | 92.6 | 91.2 | 90.5 | 91.0 |
LSTM | 89.4 | 88.7 | 87.9 | 88.3 |
GAN | 94.1 | 93.6 | 92.8 | 93.2 |
Autoencoder | 91.8 | 90.9 | 90.1 | 90.5 |