| # | Method | Algorithm | Test 1 | Test 2 | Test 3 |
|---|---|---|---|---|---|
| 1.a | Deep learning (2 methods) | LSTM | Precision: 0.4087 Recall: 0.4031 F1-Score: 0.3565 Accuracy: 0.3859 |
Precision: 0.4984 Recall: 0.4800 F1-Score: 0.4695 Accuracy: 0.5533 |
Precision: 0.6785 Recall: 0.6755 F1-Score: 0.6735 Accuracy: 0.6759 |
| 1.b | CNN model | Precision: 0.3971 Recall: 0.3785 F1-Score: 0.3727 Accuracy: 0.4502 |
Precision: 0.5316 Recall: 0.5593 F1-Score: 0.5154 Accuracy: 0.5587 |
Precision: 0.7699 Recall: 0.7596 F1-Score: 0.7614 Accuracy: 0.7591 |