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Related Questions
- How does feature permutation importance handle multicollinearity in high-dimensional data?
- What are the advantages of using feature permutation importance over mutual information-based feature selection methods?
- Can feature permutation importance be used to identify non-linear relationships between features in a dataset?
- How does the computational cost of feature permutation importance compare to other feature selection methods like recursive feature elimination?
- Are there any scenarios where feature permutation importance is outperformed by other feature selection methods in terms of handling high-dimensional data?
- How does feature permutation importance handle categorical variables and interaction terms in a model?
- Can feature permutation importance be used to identify the most important features in a sparse dataset?
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