Explainability
Attribution Methods
Techniques that assign importance scores to inputs/features
3 subcategories • 21 techniques
Gradient Based
Uses gradients/derivatives to compute feature importance (e.g., Integrated Gradients, Saliency Maps)
Model Specific
Leverages specific model architecture for attribution (e.g., Mean Decrease Impurity for trees)
Perturbation Based
Modifies inputs to measure impact on outputs (e.g., SHAP, Permutation Importance)