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Related Questions
- What are some techniques for oversampling the minority class in imbalanced datasets?
- Can you explain the concept of undersampling the majority class in class imbalance problems?
- How does SMOTE (Synthetic Minority Over-sampling Technique) work to balance imbalanced datasets?
- What are the potential drawbacks of oversampling the minority class?
- Can you discuss the use of ensemble methods, such as bagging and boosting, to handle class imbalance?
- What is the role of cost-sensitive learning in class imbalance problems?
- How can data augmentation techniques be used to avoid class imbalance in image classification tasks?
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