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Related Questions
- What are some specific scenarios where feature permutation importance outperforms other methods for feature selection?
- How does feature permutation importance handle non-linear interactions between features?
- Are there any situations in which mutual information or correlation-based methods are more informative or accurate than feature permutation importance?
- What role does the dataset's scale and dimensionality play in the choice between different feature selection methods?
- Can feature permutation importance effectively handle high-dimensional sparse datasets?
- Do permutation-based methods like LASSO or elastic net pose a threat to interpreting model performance in feature significance analyses?
- Should there be a bias correction on the permutation feature importances to ensure accuracy is within a certain margin given how many permutations were required per feature?
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