How does R support model explainability in production ML systems?

R supports explainability via SHAP, LIME, and model-specific interpretation tools.

Explainability is critical in regulated industries. R integrates with SHAP values, partial dependence plots, and feature importance metrics. These explanations are often computed in batch pipelines and served alongside predictions.