What is the core idea behind the “Bagging” (Bootstrap

Aggregating) ensemble method?

Question

What is the core idea behind the “Bagging” (Bootstrap 
 
Aggregating) ensemble method?

Answer

Training multiple models 
 
in parallel on different random subsets of the training data.

Answer

Assigning 
 
weights to different models based on their individual performance.

Answer

Training models sequentially, with each 
 
one correcting the errors of the previous one.

Answer

Using a single deep decision tree.

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