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Related Questions
- What are some common techniques for addressing class imbalance when fine-tuning a pre-trained model?
- How can I collect and annotate more data to balance the class distribution in my new domain?
- What are the trade-offs between oversampling the minority class, undersampling the majority class, and Synthetic Minority Over-sampling Technique (SMOTE) in class imbalance handling?
- Can you explain the concept of data augmentation and its role in handling class imbalance?
- How does transfer learning from a pre-trained model help in dealing with class imbalance, and what are its limitations?
- What are some evaluation metrics that are suitable for handling class imbalance, and how do they differ from traditional accuracy metrics?
- Can you discuss the relationship between class imbalance and overfitting, and how to mitigate overfitting in imbalanced datasets?
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