Table 1.
Sensitivity, specificity, and accuracy of each fold across each classification of SD-Net_WCE model
| O | A | AO | AA | GBM | Accuracy | |
|---|---|---|---|---|---|---|
| Fold 1 | 89.48 / 98.50 | 90.58 / 96.60 | 91.11 / 96.54 | 81.14 / 92.41 | 79.68 / 97.37 | 87% |
| Fold 2 | 95.10 / 96.73 | 87.10 / 96.71 | 93.57 / 95.66 | 82.09 / 96.27 | 74.21 / 95.88 | 86% |
| Fold 3 | 89.10 / 98.17 | 91.71 / 95.04 | 95.04 / 97.28 | 87.34 / 92.31 | 68.29 / 99.21 | 87% |
| Fold 4 | 87.36 / 96.87 | 87.95 / 94.21 | 85.83 / 98.43 | 84.28 / 92.70 | 68.61 / 97.79 | 85% |
| Fold 5 | 84.84 / 98.14 | 87.05 / 96.86 | 83.61 / 98.70 | 88.69 / 90.28 | 79.19 / 97.87 | 87% |
| Fold 6 | 90.39 / 98.53 | 93.22 / 97.28 | 90.51 / 97.52 | 86.91 / 95.93 | 76.81 / 97.46 | 89% |
| Average Sensitivity (%) | 89.37 | 89.60 | 89.94 | 85.08 | 74.46 | Mean accuracy: 86.5% |
| Average Specificity (%) | 97.82 | 96.12 | 97.36 | 93.32 | 97.60 |