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Related Questions
- What are the limitations of permutation importance in feature interaction analysis?
- Can dimensionality reduction techniques such as PCA or t-SNE enhance the interpretability of feature interaction effects?
- How do dimensionality reduction techniques influence the accuracy of permutation importance in identifying feature interactions?
- Can feature interaction analysis benefit from techniques like clustering or manifold learning?
- What are the trade-offs between preserving feature interaction information and reducing dimensionality?
- Can dimensionality reduction techniques impact the stability of permutation importance scores?
- How do different dimensionality reduction techniques compare in preserving feature interaction information?
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