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Related Questions
- What are the primary advantages and disadvantages of oversampling minority classes in class imbalance problems?
- How does undersampling the majority class compare to oversampling the minority class in terms of maintaining model accuracy and generalizability?
- What are some common techniques used to oversample minority classes, and how do they address issues of overfitting?
- Can you explain the concept of SMOTE (Synthetic Minority Over-sampling Technique) and its application in class imbalance problems?
- What are the potential drawbacks of undersampling the majority class, and how can they be mitigated?
- How does the choice of sampling method impact the performance of ensemble methods in class imbalance problems?
- What are some alternative approaches to oversampling and undersampling, such as cost-sensitive learning and ensemble methods?
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