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Related Questions
- How do rare but informative samples impact the overall performance of a machine learning model?
- What are the potential consequences of prioritizing common but noisy samples in a dataset?
- Can you explain the concept of 'data quality' in the context of machine learning and how it relates to rare and common samples?
- How does the inclusion of rare samples affect the robustness of a model to out-of-distribution data?
- What are some strategies for balancing the inclusion of rare and common samples in a dataset?
- In what scenarios might it be beneficial to prioritize rare samples over common ones, and vice versa?
- How do rare and common samples impact the interpretability of a machine learning model's predictions?
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