AI Associate AI Fundamentals Practice Question
A company is building a sentiment analysis model for customer reviews. They want to measure its performance. Which TWO metrics are most appropriate for evaluating a classification model?
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
✓
Recall
Precision and recall are key classification metrics. Accuracy can be misleading if classes are imbalanced. F1 is composite; but the question asks for two metrics, precision and recall are fundamental.
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 composite; the question asks for two metrics, and precision+recall are the components.
- ✗
R-squared
Why it's wrong here
For regression.
- ✗
Mean squared error
Why it's wrong here
For regression, not classification.
- ✓
Recall
Why this is correct
Measures coverage of actual positives.
- ✓
Precision
Why this is correct
Measures correctness of positive predictions.
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