Table 6 Results of the DenseNet-169 architecture
From: Tongue image quality assessment based on a deep convolutional neural network
| Â | Precision | Recall | F1-score | Accuracy |
|---|---|---|---|---|
Fold 1 | 99.21% | 99.23% | 99.22% | 99.21% |
Fold 2 | 98.83% | 98.81% | 98.82% | 98.82% |
Fold 3 | 98.08% | 98.00% | 98.04% | 98.03% |
Fold 4 | 97.64% | 97.64% | 97.64% | 97.64% |
Fold 5 | 98.81% | 98.83% | 98.82% | 98.82% |
Fold 6 | 98.87% | 98.79% | 98.83% | 98.82% |
Fold 7 | 99.21% | 99.23% | 99.22% | 99.21% |
Fold 8 | 99.21% | 99.21% | 99.21% | 99.21% |
Fold 9 | 98.81% | 98.83% | 98.82% | 98.82% |
Fold 10 | 99.60% | 99.62% | 99.61% | 99.61% |
Average (SD) | 98.83% (0.58%) | 98.82% (0.60%) | 98.82% (0.59%) | 98.82% (0.59%) |