Table 3.
Results of 10-fold cross-validation in our proposed ViT-GRU model.
| Number of fold |
Precision (%) |
Recall (%) |
F1-score (%) |
Training loss (msec) |
Test loss (msec) |
Training acuracy (%) |
Test accuracy (%) |
|---|---|---|---|---|---|---|---|
| 1 | 98 | 98 | 98 | 0.0042 | 0.0107 | 100 | 100 |
| 2 | 98 | 97 | 97 | 0.0082 | 0.0307 | 99.9 | 99.15 |
| 3 | 100 | 100 | 100 | 0.0026 | 0.0688 | 100 | 97.44 |
| 4 | 97 | 97 | 97 | 0.0098 | 0.0378 | 99.81 | 99.15 |
| 5 | 98 | 97 | 97 | 0.0021 | 0.0153 | 100 | 100 |
| 6 | 96 | 96 | 96 | 0.0044 | 0.0478 | 100 | 98.29 |
| 7 | 96 | 96 | 96 | 0.0042 | 0.0374 | 99.81 | 99.14 |
| 8 | 99 | 99 | 99 | 0.0034 | 0.0097 | 99.9 | 100 |
| 9 | 96 | 96 | 95 | 0.0035 | 0.0562 | 100 | 98.28 |
| 10 | 96 | 96 | 96 | 0.0139 | 0.0591 | 99.9 | 98.28 |
| Average | 97 | 97 | 97 | 0.0056 | 0.0374 | 99.93 | 98.97 |
| STDEV | 0.014 | 0.013 | 0.015 | 0.004 | 0.021 | 0.079 | 0.884 |
Significant values are in bold.