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Related Questions
- What are some scenarios where feature permutation importance is more informative than interaction terms in a machine learning model?
- How does feature permutation importance differ from interaction terms in terms of interpretability?
- Can you provide examples of when interaction terms are more informative than feature permutation importance?
- How do feature permutation importance and interaction terms relate to each other in terms of model interpretability?
- What are some limitations of using feature permutation importance compared to interaction terms?
- Can you explain the difference between feature permutation importance and interaction terms in the context of linear models?
- Are there any scenarios where feature permutation importance is not a good representation of model behavior, and why?
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