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Related Questions
- What are some examples of local interpretability metrics in machine learning models?
- How do feature importance methods differ from partial dependence plots in terms of interpretability?
- Can you explain the concept of SHAP values and how they are used for local interpretability?
- What is the main difference between local and global interpretability metrics in model evaluation?
- How do local interpretability metrics, such as LIME, differ from global metrics, such as permutation feature importance?
- What are some challenges associated with using local interpretability metrics, such as LIME, in complex machine learning models?
- Can you provide an example of how to use local interpretability metrics to understand the predictions of a random forest model?
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