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AI Implementation and OperationsmediumMultiple ChoiceObjective-mapped

AI0-001 AI Implementation and Operations Practice Question

An operations team monitors a classification model in production. The confusion matrix for the model shows the following values: TP=1500, FN=500, FP=600, TN=2400. Which metric should the team calculate to assess the model's ability to avoid false positives?

⚠ Common exam trap

CompTIA often tests the distinction between precision and recall by framing a question about 'avoiding false positives' or 'avoiding false negatives,' leading candidates to confuse precision with recall or to default to F1-score as a balanced metric.

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

Precision

Precision (TP / (TP + FP)) directly measures the proportion of positive identifications that were actually correct, making it the ideal metric to assess the model's ability to avoid false positives. With TP=1500 and FP=600, precision is 1500/(1500+600)=0.714, indicating that 71.4% of predicted positives are true positives, while 28.6% are false positives. The question explicitly asks about avoiding false positives, which is the inverse of precision's focus on the correctness of positive predictions.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Accuracy

    Why it's wrong here

    Accuracy = (TP+TN)/Total = 3900/5000 = 0.78, overall correctness.

  • F1-score

    Why it's wrong here

    F1 = 2*(Precision*Recall)/(Precision+Recall), combines both but not specific to false positives.

  • Recall

    Why it's wrong here

    Recall = TP/(TP+FN) = 1500/2000 = 0.75, measures false negatives, not false positives.

  • Precision

    Why this is correct

    Precision = TP/(TP+FP) = 1500/2100 = 0.714, directly relates to false positives.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

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