#AIGlossary
bagging
#GoogleCloud

A method to train an ensemble where each constituent model trains on a random subset of training examples sampled with replacement. For example, a random forest is a collection of decision trees trained with bagging.

The term bagging is short for bootstrap aggregating.

See Random forests in the Decision Forests course for more information.

https://developers.google.com/machine-learning/glossary#bagging