Question #11
Reading: Reading 4 Big Data Projects
PDF File: Reading 4 Big Data Projects.pdf
Page: 4
Status: Unattempted
Question
When evaluating the fit of a machine learning algorithm, it is most accurate to state that:
Answer Choices:
A. accuracy is the ratio of correctly predicted positive classes to all predicted positive classes
B. recall is the ratio of correctly predicted positive classes to all actual positive classes
C. precision is the percentage of correctly predicted classes out of total predictions
Explanation
Recall (also called sensitivity) is the ratio of correctly predicted positive classes to all actual
positive classes. Precision is the ratio of correctly predicted positive classes to all predicted
positive classes. Accuracy is the percentage of correctly predicted classes out of total
predictions.