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Bias-variance tradeoff
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42.
Bagging and Variance Reduction
medium
Ensemble methods like bagging reduce prediction error primarily by targeting which component?
A
Irreducible error, by using multiple models to cancel out inherent noise in the data
B
Variance, by averaging predictions across many models trained on different bootstrap samples
C
Bias, by combining weak learners that each correct the errors of the previous model
D
Regularization error, by implicitly penalizing model complexity through averaging
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