
Answer-first summary for fast verification
Answer: Decrease the recall.
To increase precision, you typically need to decrease recall because precision and recall are inversely related metrics. Precision is defined as the ratio of true positives (TP) to the sum of true positives and false positives (FP), whereas recall is the ratio of true positives to the sum of true positives and false negatives (FN). By decreasing recall, you reduce the number of false positives (FP), which increases precision. Therefore, the correct answer is B.
Author: LeetQuiz Editorial Team
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You work for a social media company and are tasked with detecting whether posted images contain cars. You have developed an object detection neural network and deployed a model version to AI Platform Prediction for evaluation. For evaluation purposes, you attached an evaluation job to the model version before deployment. Each training example is classified within exactly one class. During evaluation, you observe that the model's precision is below the threshold required by your business standards. Knowing that there is a trade-off between precision and recall, how should you adjust the model's final layer softmax threshold to improve the precision of your model?
A
Increase the recall.
B
Decrease the recall.
C
Increase the number of false positives.
D
Decrease the number of false negatives.
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