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Related Questions
- What are the key differences between permutation importance and SHAP values in explaining model predictions?
- How does permutation importance compare to feature importances calculated using recursive feature elimination (RFE) or L1 regularization?
- Can permutation importance be used to identify feature interactions or correlations in a model?
- How does permutation importance handle high-dimensional feature spaces or feature sets with many irrelevant features?
- Can permutation importance be used to compare the importance of different feature types, such as categorical vs. numerical features?
- How does permutation importance compare to other model-agnostic feature importance methods, such as LIME or partial dependence plots?
- Can permutation importance be used to identify features that are most relevant to a specific outcome or target variable?
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