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Related Questions
- What are the key differences between permutation importance and SHAP values in model interpretability?
- How do permutation importance and SHAP values handle feature interactions and non-linear relationships?
- What are the strengths of permutation importance in terms of computational efficiency and interpretability?
- How do SHAP values provide a more detailed and local explanation of model predictions compared to permutation importance?
- What are the limitations of permutation importance in handling high-dimensional feature spaces?
- Can permutation importance and SHAP values be used together to provide a more comprehensive understanding of model behavior?
- How do SHAP values address the issue of feature relevance and importance in the presence of correlated features?
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