Shap

LIME, SHAP, or InterpretML? Matching Your Explainability Goal to the Right Open-Source Tool

Choosing the right explainable AI (XAI) tool depends on your primary goal: explaining an existing blackbox model or building an inherently interpretable glassbox model. LIME and SHAP offer model-agnostic explanations for blackbox systems, while InterpretML provides a unified toolkit for both glassbox model training and blackbox explanation.