What is SHAP stability evaluation and why is it important?

SHAP stability evaluates consistency of feature attribution across perturbations.

SHAP values explain model predictions, but they can vary under small perturbations or retraining. Stability evaluation measures whether explanations remain consistent, which is critical for trust in high-stakes systems. Instability may indicate model fragility or feature redundancy.