DY0-001 · Question #69
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…
The correct answer is A. Confusion matrix. A confusion matrix directly shows true positives (cars correctly identified) and false positives (trucks misidentified as cars), giving you exactly the rates you're interested in.
Question
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?
Options
- AConfusion matrix
- BAUC/ROC curve
- CBox plot
- DCorrelation plot
How the community answered
(49 responses)- A84% (41)
- B4% (2)
- C2% (1)
- D10% (5)
Explanation
A confusion matrix directly shows true positives (cars correctly identified) and false positives (trucks misidentified as cars), giving you exactly the rates you're interested in.
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