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Related Questions
- Can Shapley values be used to identify redundant features in a machine learning model?
- How does the use of Shapley values impact the interpretability of feature importance in machine learning?
- Can Shapley values be applied to high-dimensional data and how do they perform in such cases?
- Are there any differences in using Shapley values for feature selection versus other techniques such as LASSO or Elastic Net?
- Can Shapley values handle non-linear interactions between features?
- Are there any constraints or assumptions that need to be met when using Shapley values for feature selection?
- How do Shapley values compare to other model-agnostic feature importance methods, such as permutation feature importance or SHAP?
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