Model Interpretability with SHAP ExplainerPREMIUM

## CONTEXT
As ML models drive consequential decisions in 2026, interpretability is both a trust requirement and often a regulatory one. SHAP has become the standard for attributing a prediction to its features because it offers consistent, theoretically grounded values at both global and local levels. But SHAP is…