Question #19
Reading: Reading 3 Machine Learning
PDF File: Reading 3 Machine Learning.pdf
Page: 7
Status: Unattempted
Correct Answer: A
Question
A random forest is least likely to:
Answer Choices:
A. reduce signal-to-noise ratio
B. provide a solution to overfitting problem
C. be a classification tree
Explanation
Random forest is a collection of randomly generated classification trees from the same
data set. A randomly selected subset of features is used in creating each tree and hence
each tree is slightly different from the others. Since each tree only uses a subset of
features, random forests can mitigate the problem of overfitting. Because errors across
different trees tend to cancel each other out, using random forests can increase the
signal-to-noise ratio.