Table 11 Max Voting was tested using a 10-fold cross-validation on the validation set.
From: Boosting skin cancer diagnosis accuracy with ensemble approach
Iteration | Accuracy (%) | Precision (%) | Recall (%) | F1-score (%) |
|---|---|---|---|---|
Iteration1 | 94.50 | 93.30 | 92.50 | 92.89 |
Iteration2 | 94.80 | 93.50 | 92.60 | 93.04 |
Iteration3 | 94.90 | 93.10 | 92.40 | 92.74 |
Iteration4 | 94.60 | 93.40 | 92.70 | 93.04 |
Iteration5 | 94.70 | 93.20 | 92.50 | 92.84 |
Iteration6 | 94.80 | 93.30 | 92.60 | 92.94 |
Iteration7 | 94.90 | 93.10 | 92.40 | 92.74 |
Iteration8 | 94.60 | 93.40 | 92.70 | 93.04 |
Iteration9 | 94.70 | 93.20 | 92.50 | 92.84 |
Iteration10 | 94.90 | 93.10 | 92.40 | 92.74 |
Average | 94.70 | 93.23 | 92.54 | 92.88 |
