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Why boosting reduces bias
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74.
Boosting and Bias Reduction
easy
Why does boosting primarily reduce bias rather than variance?
A
It reweights training samples at each step to ensure all regions of the feature space are covered equally
B
It trains many independent models and averages their predictions to smooth out individual errors
C
It applies strong regularization to each weak learner preventing any single model from overfitting
D
It sequentially corrects the errors of the ensemble by fitting new models to the residuals
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