Table 16 ISIC 2018 dataset class-wise Max Voting performance metrics.
From: Boosting skin cancer diagnosis accuracy with ensemble approach
Class | Avg. Precision (%) | Avg. Recall (%) | Avg. F1-score (%) |
|---|---|---|---|
Class0 | 88.10 | 87.20 | 87.64 |
Class1 | 89.20 | 86.50 | 87.82 |
Class2 | 90.30 | 87.70 | 88.98 |
Class3 | 91.00 | 88.50 | 89.73 |
Class4 | 92.50 | 91.70 | 92.09 |
Class5 | 93.20 | 90.10 | 91.62 |
Class6 | 91.80 | 88.00 | 89.85 |
