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Related Questions
- What are the key differences between SMOTE and borderline SMOTE for oversampling minority classes?
- How does cost-sensitive learning address the issue of overfitting in imbalanced datasets?
- Can you explain the concept of ensemble methods for oversampling minority classes and how they mitigate overfitting?
- What is the main advantage of using random undersampling for oversampling minority classes, and how does it address overfitting?
- How does synthetic data generation using GANs address the issue of overfitting in imbalanced datasets?
- What is the relationship between oversampling and underfitting, and how can techniques like oversampling mitigate underfitting?
- Can you discuss the trade-offs between oversampling and undersampling in terms of overfitting and underfitting, and provide examples of when each approach is preferred?
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