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Related Questions
- Can permutation importance be applied to high-dimensional data sets, and what are the limitations of this approach?
- What are the potential issues with using permutation importance in high-dimensional spaces, such as sparse data or irrelevant features?
- How does permutation importance handle feature correlation and multicollinearity in high-dimensional data?
- What is the impact of feature interactions on permutation importance in high-dimensional data sets?
- Can permutation importance be used for feature selection in high-dimensional data, and what are the strengths and weaknesses of this method?
- What are the differences between permutation importance and other feature importance methods, such as SHAP or LIME, in high-dimensional data sets?
- Can permutation importance be used for outlier detection in high-dimensional data, and what are the potential issues with this approach?
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