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Related Questions
- What are some common techniques for oversampling rare events in large datasets?
- How can I use semantic preserving augmentation to balance class distributions in imbalanced datasets?
- What are some strategies for undersampling the majority class in large datasets to handle rare events?
- Can you explain the concept of SMOTE (Synthetic Minority Over-sampling Technique) and how it can be used for rare event handling?
- How can I use data augmentation techniques such as rotation, flipping, and cropping to increase the representation of rare events?
- What are some techniques for handling class imbalance in text classification tasks using semantic preserving augmentation?
- Can you discuss the trade-offs between oversampling and undersampling in handling rare events in large datasets?
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