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Related Questions
- What are the typical causes of annotation drift in machine learning models?
- How does annotation drift impact the performance of deep learning models?
- Can you provide an example of a real-world scenario where annotation drift led to decreased model accuracy?
- What are some strategies for detecting and mitigating the effects of annotation drift in machine learning models?
- How does annotation drift differ from concept drift in machine learning?
- Can annotation drift be prevented, or is it an inevitable consequence of working with real-world data?
- What are the implications of annotation drift on the explainability and transparency of machine learning models?
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