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PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #49
You work for a social media company. You need to detect whether posted images contain cars. Each training example is a member of exactly one class. You have trained an object detection neural network
The correct answer is B. Decrease the recall.. To increase precision, you have to decrese recall, increse true positives, increse false negatives and decrease false positives. https://developers.google.com/machine-learning/crash-course/classification/precision-and-recall
Submitted by valeria.br· Apr 18, 2026Monitoring, optimizing, and maintaining ML solutions
Question
You work for a social media company. You need to detect whether posted images contain cars. Each training example is a member of exactly one class. You have trained an object detection neural network and deployed the model version to AI Platform Prediction for evaluation. Before deployment, you created an evaluation job and attached it to the AI Platform Prediction model version. You notice that the precision is lower than your business requirements allow. How should you adjust the model's final layer softmax threshold to increase precision?
Options
- AIncrease the recall.
- BDecrease the recall.
- CIncrease the number of false positives.
- DDecrease the number of false negatives.
How the community answered
(45 responses)- A7% (3)
- B76% (34)
- C2% (1)
- D16% (7)
Explanation
To increase precision, you have to decrese recall, increse true positives, increse false negatives and decrease false positives. https://developers.google.com/machine-learning/crash-course/classification/precision-and-recall
Topics
#Precision-Recall Trade-off#Classification Threshold#Model Evaluation Metrics#ML Model Optimization
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