Machine Learning Interpretability

LIME vs. SHAP: Choosing the Right Explainable AI Method for Scientific Research

Choosing between LIME and SHAP for Explainable AI in scientific research involves a trade-off between speed and robustness. LIME offers fast, local explanations but can be unstable, while SHAP provides consistent, global insights at a higher computational cost.