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Related Questions
- What is model-agnostic interpretability, and how does it relate to feature importance?
- Can you explain how partial dependence plots (PDPs) compute feature importance in high-dimensional data?
- How does the SHAP (SHapley Additive exPlanations) method work in assigning feature importance to each input feature?
- What is the role of permutation feature importance (PFI) in measuring feature importance in high-dimensional datasets?
- In the context of random forest and gradient boosting, how are feature importances typically calculated?
- Are there any limitations or assumptions when using model-agnostic interpretability methods to compute feature importance?
- How can feature importance metrics be used to select or prune features in a machine learning model?
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