Erik Pazos

FIMAP: Feature Importance by Minimal Adversarial Perturbation

Instance-based model-agnostic feature importance explanations (LIME, SHAP, L2X) are a popular form of algorithmic transparency. These methods generally return either a weighting or subset of input features as an explanation for the classification of an instance. An alternative literature argues inst…