Bootstrap aggregating is:

A. an aggregation of heterogeneous learners.
B. an aggregation of homogenous learners.
C. a collection of many decision trees.

Correct Answer: B

It is also known as bagging. The original data set is used to generate n new training data sets, and the same algorithm is then trained on n data sets. Averaging or majority-vote classifier is then applied.