Table 19.
The evaluation metrics of the proposed model without 1 × 1 convolution layer after applying five-fold on the trained model at fold 4
Fold | Accuracy% | Loss | F1-score% | Precision% | Recall% | Specificity% | Time (Sec.) |
---|---|---|---|---|---|---|---|
1 | 97.23 | 0.07 | 96.92 | 96.81 | 97.04 | 98.63 | 55.16 |
2 | 98.04 | 0.05 | 97.85 | 97.49 | 98.23 | 99.05 | 51.49 |
3 | 97.72 | 0.05 | 97.62 | 97.61 | 97.64 | 98.81 | 56.47 |
4 | 97.23 | 0.09 | 96.85 | 96.91 | 96.79 | 98.47 | 52.36 |
5 | 98.37 | 0.05 | 98.28 | 98.39 | 98.17 | 99.13 | 50.65 |
Mean | 97.72 | 0.06 | 97.51 | 97.44 | 97.57 | 98.82 | 53.23 |
SD | ± 0.51 | ± 0.02 | ± 0.61 | ± 0.63 | ± 0.65 | ± 0.28 | ± 2.48 |