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Related Questions
- What are the key differences between bagging and boosting ensemble methods?
- Can you explain how bagging works in the context of random forests?
- How do boosting algorithms, such as AdaBoost, handle class imbalance?
- What role does resampling play in reducing overfitting in bagging methods?
- How do boosting algorithms, such as Gradient Boosting, handle feature interactions?
- Can you provide an example of how bagging can improve the generalization of a model?
- How do ensemble methods, such as bagging and boosting, compare to stacking in terms of reducing overfitting?
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