Explainable AI June 22, 2026 7 min read

How to Interpret Machine Learning Models

An overview of Explainable AI (XAI) techniques like SHAP and LIME to make black-box models transparent and interpretable.

The Importance of Interpretability

As models are deployed in high-stakes environments, understanding why a model made a prediction is crucial.

SHAP (SHapley Additive exPlanations): Game theory-based approach that attributes change in output to each feature.
LIME (Local Interpretable Model-agnostic Explanations): Approximates the black-box model locally with an interpretable model (like a linear regression).

SHAPLIMEInterpretability

Zakaria Kassemi

Data Scientist & AI Engineer — Morocco