Table 12 Performance comparison of the model before and after applying the Genetic Algorithm.
From: Boosting skin cancer diagnosis accuracy with ensemble approach
Metric | Before GA (all features) | After GA (optimal features) |
|---|---|---|
Accuracy (%) | 90.50 | 94.70 |
Precision (%) | 88.30 | 93.23 |
Recall (%) | 87.80 | 92.54 |
F1-Score (%) | 88.00 | 94.20 |
Number of Features | 386 | 72 |
