How do you explain model predictions to stakeholders (SHAP, LIME, feature importance)?

Use explanation methods appropriate to the audience. - Global importance: which features matter overall - Local explanations: why a single prediction happened - SHAP: consistent additive attributions - LIME: local surrogate approximations Also validate explanations with domain experts and warn about correlation vs causation.