// Towards Data Science · 15 January 2026

When Shapley Values Break: A Guide to Robust Model Explainability

Shapley Values are one of the most common methods for explainability, yet they can be misleading. Discover how to overcome these limitations to achieve better insights. The post When Shapley Values Break: A Guide to Robust Model Explainability appeared first on Towards Data Science.

Towards Data Science

@towards-data-science · Alon Lanyado

towardsdatascience.com

Towards Data Science@towards-data-science