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Related Questions
- What are some common techniques used for data augmentation in machine learning to address class imbalance?
- How does data augmentation impact the performance of a model on minority classes in a classification problem?
- Can you provide examples of data augmentation techniques that can be used to generate new samples for underrepresented groups?
- What are some challenges associated with using data augmentation to address class imbalance, and how can they be mitigated?
- How does the choice of data augmentation technique affect the performance of a model on underrepresented classes?
- Can you discuss the relationship between data augmentation and overfitting, particularly in the context of class imbalance?
- What are some metrics that can be used to evaluate the effectiveness of data augmentation in addressing class imbalance?
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