When Shapley Values Break: A Guide to Robust Model Explainability

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2026-01-15 16:31:01 -

Shapley values have become the go-to for model explainability, but they're not bulletproof — and blindly trusting them can lead to some misleading conclusions. This deep dive from Towards Data Science covers where they fall short and how to work around those limitations. Essential reading if you're building anything that needs to explain its decisions.

Shapley values have become the go-to for model explainability, but they're not bulletproof — and blindly trusting them can lead to some misleading conclusions. 🔍 This deep dive from Towards Data Science covers where they fall short and how to work around those limitations. Essential reading if you're building anything that needs to explain its decisions.

TOWARDSDATASCIENCE.COM

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.

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