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Related Questions
- What are some common local interpretability metrics used to evaluate the predictions of neural networks?
- Can you explain the concept of feature importance and how it's used in local interpretability?
- How do techniques like saliency maps and feature importance help with model interpretability?
- What's the difference between local and global interpretability in the context of neural networks?
- Can you provide examples of how local interpretability metrics can be used in real-world applications?
- How do local interpretability metrics like SHAP values and LIME scores help with model understanding?
- What are some challenges associated with using local interpretability metrics in complex neural networks?
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