What is the key difference between bagging and boosting in ensemble learning? - Study24x7
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What is the key difference between bagging and boosting in ensemble learning?

A

Bagging focuses on reducing bias

B

Boosting focuses on reducing variance

C

Bagging trains models in parallel

D

Boosting uses a single model

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