When it comes to explainable AI, LIME and SHAP are two popular methods for providing insights into the decisions made by machine learning models. What are the key differences between these methods? In this article, we will help you understand which method may be best for your specific use case.

Discover how the SHAP method can help you understand the important factors behind your model's predictions in a simple, intuitive way.

Making sense of AI's inner workings with KernelShap and TreeShap the powerfull tools for responsible AI.