Explain the concept of "bagging" in ensemble learning.
(A)
Combining predictions from multiple models
(B)
Creating diverse models by training each on a different subset of the data
(C)
Reducing model complexity
(D)
Fitting models sequentially to improve accuracy
Answer
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