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Related Questions
- How do permutation importance methods handle multicollinearity in numerical data?
- Can you explain the difference in handling feature correlations between permutation importance and SHAP values?
- How do permutation importance methods account for categorical feature correlations, especially when the categories are not mutually exclusive?
- What is the relationship between feature correlation and permutation importance in a machine learning model?
- Can you provide an example of how to interpret permutation importance in a dataset with highly correlated numerical features?
- How do permutation importance methods handle high-dimensional feature spaces with correlated features?
- Are there any methods to improve the interpretability of permutation importance when dealing with correlated categorical features?
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