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