Question #8
Reading: Reading 4 Big Data Projects
PDF File: Reading 4 Big Data Projects.pdf
Page: 3
Status: Unattempted
Correct Answer: B
Question
Under which of these conditions is a machine learning model said to be underfit?
Answer Choices:
A. The input data are not labelled
B. The model treats true parameters as noise
C. The model identifies spurious relationships
Explanation
Underfitting describes a machine learning model that is not complex enough to describe
the data it is meant to analyze. An underfit model treats true parameters as noise and fails
to identify the actual patterns and relationships. A model that is overfit (too complex) will
tend to identify spurious relationships in the data. Labelling of input data is related to the
use of supervised or unsupervised machine learning techniques.