Table 4 The multiclass classification effectiveness measures of the BuRnGANeXt50 model.
From: Spatial attention-based residual network for human burn identification and classification
Folds | Performance metrics (%) | |||||
|---|---|---|---|---|---|---|
Precision | Recall | F1-score | Sensitivity | Specificity | Accuracy | |
Fold1 | 91.00 | 91.01 | 91.00 | 91.00 | 95.40 | 94.00 |
Fold2 | 95.66 | 95.66 | 95.66 | 95.66 | 97.83 | 97.11 |
Fold3 | 99.92 | 99.92 | 99.92 | 99.92 | 99.95 | 99.94 |
Fold4 | 100 | 100 | 100 | 100 | 100 | 100 |
Fold5 | 99.5 | 99.5 | 99.5 | 99.5 | 99.75 | 99.66 |
Average | 97.22 | 97.22 | 97.22 | 97.22 | 98.61 | 98.14 |
