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Related Questions
- How does permutation importance differ from SHAP values in terms of feature attribution?
- Can SHAP values assign negative importance to features, and if so, what does this indicate about the model's behavior?
- How do SHAP values handle interactions between features, whereas permutation importance does not?
- What are some common use cases where SHAP values are preferred over permutation importance?
- Can SHAP values be used to explain the output of a model with a large number of features?
- How does SHAP values' reliance on the baseline expectation affect the interpretation of feature importance?
- Can permutation importance and SHAP values be used together to gain a more comprehensive understanding of a model's behavior?
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