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Answer: Precision, recall, and F1 score.
When evaluating the performance of a prebuilt document intelligence model, the key metrics to consider are precision, recall, and F1 score. Precision measures the proportion of extracted data that is correct, while recall measures the proportion of relevant data that is extracted. The F1 score is a harmonic mean of precision and recall, providing a balanced assessment of the model's accuracy. Option B is incorrect because processing time and resource utilization are important for performance optimization but not for assessing accuracy. Option C is incorrect because the number of documents processed and throughput are related to scalability and efficiency, not accuracy. Option D is incorrect because only option A is correct.
Author: LeetQuiz Editorial Team
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You have been asked to evaluate the performance of a prebuilt document intelligence model on a set of test documents. What metrics should you consider while assessing the model's accuracy?
A
Precision, recall, and F1 score.
B
Processing time and resource utilization.
C
Number of documents processed and throughput.
D
All of the above.
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