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Related Questions
- Can you explain the concept of feature permutation importance and how it differs from traditional feature importance methods in regression models?
- How do interaction terms affect the performance of regression models, and what are some strategies for identifying and incorporating interaction terms?
- In what ways do feature permutation importance and interaction terms contribute to the process of feature engineering in regression models?
- How can feature permutation importance be used to identify redundant or irrelevant features in a regression model?
- Can you provide examples of scenarios where interaction terms are particularly useful in regression models, and how to implement them?
- What are some common pitfalls or challenges associated with incorporating interaction terms into regression models, and how to avoid them?
- How do feature permutation importance and interaction terms relate to model interpretability and explainability in regression models?
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