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Why boosting reduces bias
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208.
Definition of Weak Learner
easy
Boosting uses weak learners as base models. What defines a weak learner?
A
A model that performs only slightly better than random chance on the training task
B
A model trained on less than 50% of the training data to ensure diversity in the ensemble
C
A model with high variance that is sensitive to small changes in the training data
D
A model with fewer than 10 parameters that cannot represent complex decision boundaries
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