What are the best interpretability tools for AI models?
There are several popular interpretability tools, including LIME, SHAP, and InterpretML. Each has its strengths.
Can you explain how LIME works?
LIME, or Local Interpretable Model-agnostic Explanations, works by approximating the model locally with an interpretable model.
What about SHAP? How is it different from LIME?
SHAP, or SHapley Additive exPlanations, provides consistent and theoretically grounded explanations based on cooperative game theory.
Which tool would you recommend for a beginner?
For beginners, LIME is often recommended due to its simplicity and ease of use, making it a great starting point.
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