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Basic Question 7 of 8
Bootstrap aggregating is:
B. an aggregation of homogenous learners.
C. a collection of many decision trees.
A. an aggregation of heterogeneous learners.
B. an aggregation of homogenous learners.
C. a collection of many decision trees.
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I am using your study notes and I know of at least 5 other friends of mine who used it and passed the exam last Dec. Keep up your great work!
Barnes
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.