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Related Questions
- Can feature permutation importance be used to identify the most informative features for a given target variable, and if so, how does it relate to other feature ranking techniques like mutual information or random forests?
- How does feature permutation importance differ from other feature importance methods, such as SHAP values or LIME?
- What are the advantages and disadvantages of using feature permutation importance for feature selection and ranking?
- Can feature permutation importance be used in high-dimensional spaces, and if so, what are the challenges and limitations?
- How does feature permutation importance relate to other model-agnostic feature importance methods, such as permutation feature importance for neural networks?
- Can feature permutation importance be used to identify interactions between features, and if so, how does it compare to other interaction detection methods?
- How can feature permutation importance be used in conjunction with other feature selection techniques, such as recursive feature elimination or Lasso regression?
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