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Related Questions
- What are the common ensemble methods used to address class imbalance in machine learning models?
- How does stacking ensemble methods compare to other ensemble methods in handling imbalanced datasets?
- Can you explain the concept of synthetic sampling in ensemble methods and its application to imbalanced datasets?
- What is the role of undersampling in ensemble methods for handling class imbalance in machine learning models?
- How can ensemble methods be used to reduce the impact of noise in imbalanced datasets?
- What is the difference between bagging and boosting ensemble methods in the context of imbalanced datasets?
- Can you discuss the challenges of using ensemble methods on imbalanced datasets and potential solutions to overcome them?
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