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Related Questions
- What are the implications of using cross-validation on feature importance when features are highly correlated?
- How does cross-validation handle multicollinearity in feature importance calculations?
- Can you explain the relationship between cross-validation and the stability of feature importance scores in the presence of correlated features?
- How does the choice of cross-validation strategy (e.g., k-fold, leave-one-out) affect the interpretation of feature importance in the presence of correlated features?
- What are some common pitfalls to avoid when using cross-validation to evaluate feature importance in the presence of correlated features?
- Can you discuss the trade-offs between using cross-validation and other methods (e.g., regularization, dimensionality reduction) to handle correlated features in feature importance calculations?
- How can the results of cross-validation be used to identify and mitigate the effects of correlated features on feature importance scores?
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