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Related Questions
- What is the impact of one-hot encoding on categorical features with multiple levels when calculating feature permutation importance?
- How do you handle the problem of high dimensionality when dealing with categorical features with multiple levels?
- Can you explain the concept of mutual information and how it's used to calculate feature permutation importance for categorical features with multiple levels?
- What are some common techniques used to reduce the dimensionality of categorical features with multiple levels?
- How does the choice of categorical encoding affect the calculation of feature permutation importance?
- Can you discuss the trade-off between using one-hot encoding and label encoding for categorical features with multiple levels?
- What are some best practices for handling categorical features with multiple levels when calculating feature permutation importance?
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