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Related Questions
- Can feature permutation importance be used to identify redundant features in a model?
- How does feature permutation importance differ from other methods of feature importance, such as SHAP values?
- Can feature permutation importance be used to identify features that are irrelevant to the model's predictions?
- What are the limitations of using feature permutation importance to identify redundant or irrelevant features?
- Can feature permutation importance be used in conjunction with other methods, such as recursive feature elimination, to identify redundant features?
- How does the choice of permutation method (e.g. random permutation, permutation by importance) affect the results of feature permutation importance?
- Can feature permutation importance be used to identify features that are highly correlated with each other?
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