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Basic Question 2 of 8
Which statement is false?
B. In PCA, composite variables can be easily labeled as they come directly from the initial data set.
C. In practice, retained principal components should be able to explain 85% to 95% of total variance in the initial data set.
A. In PCA, composite variables are uncorrelated.
B. In PCA, composite variables can be easily labeled as they come directly from the initial data set.
C. In practice, retained principal components should be able to explain 85% to 95% of total variance in the initial data set.
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Learning Outcome Statements
describe neural networks, deep learning nets, and reinforcement learning.
CFA® 2025 Level II Curriculum, Volume 1, Module 6.