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Related Questions
- How do Shapley values handle feature interactions in machine learning models?
- Can you explain the difference between Shapley values and permutation importance in terms of feature interaction handling?
- In what scenarios do feature interactions have a significant impact on the performance of a machine learning model?
- How do feature interaction effects change when using different types of machine learning algorithms?
- Can you provide examples of feature interactions that are difficult to capture using traditional feature importance metrics?
- How do feature interaction effects influence the interpretation of model results in real-world applications?
- What are some common pitfalls to avoid when interpreting feature importance metrics in the presence of feature interactions?
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