AI Associate AI Fundamentals Practice Question
A company’s AI model recommends products to customers. The team wants to measure how often the recommended products are actually purchased. Which metric is most appropriate?
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 measures the proportion of recommended items that are relevant (purchased). For product recommendations, precision is key.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
F1 score
Why it's wrong here
F1 is harmonic mean of precision and recall; precision alone is more direct for recommendation quality.
- ✓
Precision
Why this is correct
Correct. Precision = TP/(TP+FP), focusing on the correctness of positive predictions.
- ✗
Recall
Why it's wrong here
Recall measures how many relevant items were recommended, not the accuracy of recommendations.
- ✗
Accuracy
Why it's wrong here
Accuracy is overall correctness but not specific to recommended items; it can be misleading for imbalanced data.
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