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Related Questions
- What are the common methods for oversampling and undersampling, and how do they work?
- What are the differences between Random Oversampling, SMOTE, and Synthetic Minority Over-sampling Technique (SMOTE) when dealing with imbalanced datasets?
- When should I use oversampling versus undersampling, and what are the trade-offs between the two approaches?
- How can I evaluate the performance of different oversampling and undersampling methods on my dataset?
- Can you provide examples of datasets where oversampling or undersampling might be particularly useful?
- What are some common pitfalls or challenges when implementing oversampling or undersampling methods in practice?
- Are there any ensemble methods that combine oversampling and undersampling techniques for more effective class imbalance handling?
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