Table 4.
Macro and weighted average of precision, recall, and F1-score of DL.
Metrics | Average | Deep learning classification algorithms | ||||
---|---|---|---|---|---|---|
CNN | LSTM | Bi-LSTM | GRU | RNN | ||
Precision | Macro | 0.64 | 0.79 | 0.71 | 0.85 | 0.47 |
Weighted | 0.97 | 0.90 | 0.97 | 0.91 | 0.91 | |
| ||||||
Recall | Macro | 0.98 | 0.96 | 0.96 | 0.67 | 0.50 |
Weighted | 0.97 | 0.95 | 0.97 | 0.95 | 0.95 | |
| ||||||
F1 score | Macro | 0.71 | 0.80 | 0.80 | 0.79 | 0.48 |
Weighted | 0.97 | 0.93 | 0.97 | 0.93 | 0.93 |