AI0-001 AI Models and Data Engineering Practice Question
A machine learning model for credit card fraud detection is deployed. The model's precision is 0.95 and recall is 0.60. The business cost of missing a fraud is very high. Which of the following should the team prioritize to reduce the number of false negatives?
⚠ Common exam trap
CompTIA often tests the misconception that improving model accuracy or changing algorithms is the primary fix, when in fact adjusting the decision threshold is the simplest and most effective way to address precision-recall trade-offs for high-cost false negatives.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Decrease the classification threshold.
Decreasing the classification threshold makes the model more sensitive, classifying more transactions as fraudulent. This increases recall (reducing false negatives) at the cost of precision. Given the high cost of missing fraud, lowering the threshold is the direct way to capture more true positives, even if it increases false positives.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use a different model algorithm.
Why it's wrong here
Changing algorithm may help but threshold adjustment is a more immediate and targeted action.
- ✗
Add more features.
Why it's wrong here
Adding features might improve recall but requires model retraining and is not a direct fix.
- ✗
Increase the classification threshold.
Why it's wrong here
Increasing threshold reduces false positives but increases false negatives.
- ✓
Decrease the classification threshold.
Why this is correct
Lower threshold classifies more cases as positive, thus catching more actual frauds (reducing false negatives).
About these practice questions
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AI0-001 practice question is part of Courseiva's free CompTIA certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI0-001 exam.