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Related Questions
- How do you handle rare categories in permutation importance methods to avoid overestimating feature importance?
- What are some techniques for reducing dimensionality when dealing with high-cardinality categorical features in permutation importance methods?
- Can you explain the concept of one-hot encoding and its limitations in handling high-cardinality categorical features?
- How do you select the number of bins for binning categorical features in permutation importance methods?
- What is the impact of interactions between categorical features on permutation importance methods, and how can it be addressed?
- Can you discuss the use of label encoding and its implications for high-cardinality categorical features in permutation importance methods?
- How do you handle multi-value categorical features, such as those with multiple categories, in permutation importance methods?
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