Answer-first summary for fast verification
Answer: Execution time
When evaluating the performance of a custom image model, metrics such as precision, recall, and accuracy are commonly used to measure the model's ability to correctly classify images. Precision measures the proportion of true positive predictions among all positive predictions, recall measures the proportion of true positive predictions among all actual positive instances, and accuracy measures the overall correctness of the model's predictions. Execution time, on the other hand, is not a metric for evaluating the model's performance but rather a measure of the model's efficiency in terms of processing time.
Author: LeetQuiz Editorial Team
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After labeling the images, you are ready to train a custom image model using Azure AI Vision. Which of the following is NOT a valid metric for evaluating the performance of the trained model?
A
Precision
B
Recall
C
Accuracy
D
Execution time
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