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Related Questions
- What is the concept of saliency maps in machine learning and how is it used for model interpretability?
- How does feature importance, such as permutation importance, relate to model interpretability?
- What are some common techniques used to visualize the decision-making process of a machine learning model?
- Can you explain the concept of partial dependence plots and how they are used to understand model behavior?
- How does model-agnostic interpretability, such as LIME, differ from model-specific interpretability techniques?
- What is the relationship between data augmentation and model interpretability, and how can they be combined?
- Can you discuss the role of attention mechanisms in model interpretability, particularly in transformer-based models?
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