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Related Questions
- Can ensemble methods like bagging and boosting improve the accuracy of minority class predictions in imbalanced datasets?
- How do bagging and boosting techniques address the issue of class imbalance in machine learning models?
- Do bagging and boosting methods have any inherent advantages or disadvantages when dealing with imbalanced datasets?
- Can you explain how bagging and boosting handle class imbalance through data sampling and weighting?
- Are there any specific ensemble methods that are more effective than others in handling class imbalance?
- How do the performance metrics used to evaluate ensemble models change when dealing with imbalanced datasets?
- Can you provide examples of real-world applications where ensemble methods have been used to handle class imbalance in datasets?
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