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Exam DY0-001 topic 1 question 47 discussion

Actual exam question from CompTIA's DY0-001
Question #: 47
Topic #: 1
[All DY0-001 Questions]

A data scientist has built an image recognition model that distinguishes cars from trucks. The data scientist now wants to measure the rate at which the model correctly identifies a car as a car versus when it misidentifies a truck as a car. Which of the following would best convey this information?

  • A. Confusion matrix
  • B. AUC/ROC curve
  • C. Box plot
  • D. Correlation plot
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Suggested Answer: A 🗳️
by SuntzuLegacy at May 19, 2025, 9:43 a.m.

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SuntzuLegacy
1 month, 1 week ago
Selected Answer: A
A confusion matrix directly shows how many examples of each actual class (car or truck) are assigned to each predicted class. From it, you can read off: The rate at which cars are correctly identified as cars (True Positives). The rate at which trucks are incorrectly identified as cars (False Positives). Hence, A. Confusion matrix is the best choice.
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