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Related Questions
- What are some common data augmentation techniques used to address class imbalance in machine learning models?
- How does data augmentation impact the performance of a model when dealing with class imbalance?
- Can you explain the concept of oversampling and undersampling in the context of data augmentation for class imbalance?
- What role does data augmentation play in reducing the effect of the curse of dimensionality in class imbalance problems?
- How can data augmentation be used to create synthetic minority classes in class imbalance problems?
- What are the key considerations when selecting data augmentation techniques for class imbalance?
- Can you provide examples of popular data augmentation techniques used to address class imbalance in real-world applications?
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