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Related Questions
- What are the main types of ensemble methods used in machine learning?
- How does bagging (Bootstrap Aggregating) reduce variance in model predictions?
- What is the difference between voting and averaging in ensemble methods?
- Can you provide examples of when to use bagging, boosting, and stacking?
- How does boosting (AdaBoost, Gradient Boosting) handle variance and bias?
- What is the role of meta-learning in ensemble methods?
- How can ensemble methods be used to improve the robustness of model predictions?
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