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Related Questions
- What are the common techniques used for data augmentation in machine learning?
- How does data augmentation impact the model's ability to generalize to new data?
- Can data augmentation improve the interpretability of feature importance in a model?
- What are the potential drawbacks of relying on data augmentation to improve feature importance?
- How does the type of data augmentation (e.g. image rotation, text augmentation) affect feature importance?
- Can data augmentation be used to highlight the importance of specific features in a model?
- What is the relationship between data augmentation and the concept of feature interaction in machine learning?
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