Explainable AI
SHAP-Guided Hotspot Augmentation
A targeted augmentation framework for rare-event prediction that uses explainability and local model behavior to focus synthetic data generation where it is most useful.
Focus areas
- Explainability-guided sample selection
- Class-imbalance methodology
- Nested and repeated evaluation strategies