Table 13 Evaluation metrics for the ensemble techniques on ISIC 2019 dataset.
From: Multimodal deep learning ensemble framework for skin cancer detection
Ensemble technique | Accuracy | Precision | Recall | F1 score | Loss | AUC |
|---|---|---|---|---|---|---|
Stacking | 0.885 | 0.90 | 0.89 | 0.89 | 0.405 | 0.905 |
Simple average | 0.903 | 0.92 | 0.90 | 0.91 | 0.319 | 0.948 |
Proposed adaptive weighted ensemble | 0.911 | 0.93 | 0.91 | 0.92 | 0.306 | 0.955 |
