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Related Questions
- What are the key differences between SHAP values and permutation importance in feature importance ranking?
- Can you provide an example where SHAP values would be more suitable than permutation importance for a specific dataset?
- How do SHAP values account for interactions between features, and why is this important in feature importance ranking?
- What are some scenarios where permutation importance might overestimate or underestimate feature importance?
- Can you explain how SHAP values can handle high-dimensional feature spaces, and what are the implications for feature importance ranking?
- How do SHAP values and permutation importance differ in their handling of categorical and numerical features?
- Can you provide a real-world example where SHAP values were used to identify feature importance in a complex machine learning model?
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