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Related Questions
- What is permutation importance and how is it used in feature interaction identification?
- Can you explain how permutation importance helps to identify complex feature interactions in a machine learning model?
- How does permutation importance measure the contribution of individual features to the model's predictions?
- What are some common pitfalls to avoid when using permutation importance to identify feature interactions?
- Can you provide an example of how permutation importance is used to identify feature interactions in a real-world dataset?
- How does permutation importance compare to other methods for identifying feature interactions, such as SHAP values or partial dependence plots?
- What are some best practices for interpreting permutation importance results to gain insights into feature interactions?
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