A key difference between Bagging and

Boosting is that:

Question

A key difference between Bagging and 
 
Boosting is that:

Answer

Bagging focuses on reducing bias, while Boosting 
 
focuses on reducing variance.

Answer

Bagging can only be used with 
 
decision trees, while Boosting can use any model.

Answer

Bagging trains models in parallel, while 
 
Boosting trains them sequentially.

Answer

Bagging is an 
 
unsupervised method, while Boosting is supervised.

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