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Related Questions
- What are the key differences between bagging and boosting ensemble methods in handling class imbalance?
- How do bagging methods like Random Forest handle minority class instances?
- Can you explain the concept of over-sampling and under-sampling in the context of class imbalance and ensemble methods?
- How do boosting methods like AdaBoost handle class imbalance and what are their limitations?
- What are some strategies for addressing class imbalance in datasets when using ensemble methods?
- Can you discuss the impact of class imbalance on the performance of ensemble methods like bagging and boosting?
- How can ensemble methods be modified to handle class imbalance and improve overall model performance?
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