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Related Questions
- What are some strategies for oversampling the minority class in imbalanced datasets?
- How can undersampling the majority class be used to address class imbalance?
- What are the advantages and disadvantages of using SMOTE for oversampling the minority class?
- Can you explain the concept of cost-sensitive learning and how it can be applied to imbalanced datasets?
- What is the difference between random undersampling and synthetic minority oversampling technique (SMOTE) for addressing class imbalance?
- How can ensemble methods, such as bagging and boosting, be used to handle imbalanced datasets?
- What are some common evaluation metrics used to assess the performance of models on imbalanced datasets and how can they be interpreted?
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