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Related Questions
- Can bagging improve the accuracy of a decision tree model in a classification task?
- How does bagging handle outliers in a regression task, and what are its implications?
- What are some common scenarios where bagging is particularly useful in classification tasks?
- Can you give examples of real-world applications of bagging in image classification?
- How does bagging compare to other ensemble methods, such as boosting, in terms of performance and stability?
- In what ways can bagging be used to reduce overfitting in a model, and what are the benefits of this approach?
- Can you explain the concept of bagging and how it relates to the concept of 'ensemble learning'?
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