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Related Questions
- What are the key factors that affect the quality of data annotation in machine learning?
- How does data annotation influence the model's performance in terms of accuracy and bias?
- Can you explain the role of data annotation in ensuring model interpretability and explainability?
- What are the common challenges faced during the data annotation process, and how can they be addressed?
- How does data annotation impact the model's ability to generalize to new, unseen data?
- What are the differences between active learning and weak supervision in data annotation, and how do they impact model interpretability?
- Can you discuss the importance of human-in-the-loop annotation for improving model performance and interpretability?
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