Related Question 2
What does the term "bagging" refer to in ensemble learning?
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A.
A bag is placed around the dataset
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B.
Training multiple models on different random subsets and aggregating results
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C.
Sequentially training models to correct errors (boosting)
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D.
A feature engineering technique
Correct Answer: B
Explanation:
Bagging (Bootstrap Aggregating) trains multiple models on bootstrapped data samples and averages their predictions to reduce variance.