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Related Questions
- What are some common techniques used to handle class imbalance in machine learning?
- How can oversampling be used to mitigate the effects of undersampling the majority class?
- What is the difference between random oversampling and synthetic oversampling in handling class imbalance?
- Can you explain the concept of SMOTE (Synthetic Minority Over-sampling TEchnique) and its application in handling class imbalance?
- What are some common pitfalls to avoid when using oversampling and undersampling techniques to handle class imbalance?
- How can ensemble methods be used to handle class imbalance, and what are some popular ensemble methods used for this purpose?
- What is the role of data augmentation in handling class imbalance, and how can it be used to mitigate the effects of undersampling the majority class?
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