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Related Questions
- What is permutation importance and how is it used in machine learning models?
- How does permutation importance differ from SHAP values in attributing feature importance?
- Can you provide an example of how permutation importance is calculated and used in a real-world scenario?
- How does permutation importance handle high-dimensional feature spaces compared to SHAP values?
- Are there any limitations or assumptions associated with using permutation importance in model interpretability?
- Can you compare the strengths and weaknesses of permutation importance and SHAP values in terms of model interpretability?
- How can permutation importance be used in conjunction with other techniques, such as partial dependence plots, to improve model interpretability?
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