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Related Questions
- How do feature permutation importance methods account for feature correlations in numerical and categorical data?
- Can you explain the challenges of calculating feature importance for interactions between numerical and categorical features?
- How do feature permutation importance methods handle non-linear relationships between numerical and categorical features?
- What is the impact of using one-hot encoding for categorical features on feature permutation importance calculations?
- Can you provide an example of a scenario where feature permutation importance is not suitable for handling interactions between numerical and categorical features?
- How do feature permutation importance methods compare to other methods for handling feature interactions, such as interaction terms in linear models?
- Can you discuss the trade-offs between using feature permutation importance and other methods for handling feature interactions in machine learning models?
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