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Related Questions
- What are the key differences between permutation importance and SHAP values in evaluating feature importance in machine learning models?
- How do permutation importance and SHAP values handle interactions between features?
- Can you provide an example of when to use permutation importance versus SHAP values in a real-world scenario?
- How do permutation importance and SHAP values compare in terms of computational complexity and interpretability?
- Can you explain how permutation importance and SHAP values handle categorical features differently?
- What are the assumptions and limitations of permutation importance and SHAP values in evaluating feature importance?
- How do permutation importance and SHAP values integrate with other feature importance methods, such as LIME and partial dependence plots?
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