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Basic Question 7 of 8

Bootstrap aggregating is:

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

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Learning Outcome Statements

describe supervised machine learning algorithms - including penalized regression, support vector machine, k-nearest neighbor, classification and regression tree, ensemble learning, and random forest - and determine the problems for which they are best suited;

CFA® 2025 Level II Curriculum, Volume 1, Module 6.