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Related Questions
- What are the effects of data augmentation on the convergence rate of a classification model in a label-imbalanced dataset?
- How does data augmentation influence the accuracy of a classification model when dealing with rare class instances?
- Can data augmentation exacerbate or mitigate the issue of label imbalance in classification tasks?
- What are the implications of data augmentation on the performance of a classification model when the minority class has a small number of instances?
- How does data augmentation impact the F1-score of a classification model in the presence of label imbalance?
- What are the differences in the impact of data augmentation on classification models when dealing with balanced and imbalanced datasets?
- Can data augmentation be used as a technique to improve the performance of a classification model in the presence of label imbalance, and if so, how?
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