CompTIA DataX (DY0-001) — Question 46
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?
Answer options
- A. Confusion matrix
- B. AUC/ROC curve
- C. Box plot
- D. Correlation plot
Correct answer: A
Explanation
The correct answer is A, the confusion matrix, as it provides a comprehensive breakdown of true positives, false positives, true negatives, and false negatives, which is essential for evaluating classification performance. The other options, such as AUC/ROC curve, box plot, and correlation plot, do not offer the same level of detail specifically related to classification errors in this context.