AIF-C01 Fundamentals of AI and ML Practice Question
A team is evaluating a classification model. The confusion matrix shows: TP=80, FN=20, FP=10, TN=90. What is the precision?
⚠ Common exam trap
The AIF-C01 exam often tests the distinction between precision and recall by providing confusion matrix values that make one metric easy to miscalculate if you confuse the denominator (TP+FP vs TP+FN).
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
✓
0.89
Precision is calculated as TP / (TP + FP). Here, TP=80 and FP=10, so precision = 80 / (80 + 10) = 80 / 90 = 0.888..., which rounds to 0.89. This metric measures the proportion of positive identifications that were actually correct.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
0.89
Why this is correct
Precision measures the proportion of positive predictions that are truly positive, calculated as TP/(TP+FP). With TP=80 and FP=10, precision is 80/90 = 0.889, rounding to 0.89. This satisfies the stem's requirement to derive precision from the given confusion matrix values rather than recall or accuracy.
- ✗
0.75
Why it's wrong here
Precision is TP/(TP+FP) = 80/90 ≈ 0.89, not 0.75. The value 0.75 is tempting because it equals TP/(TP+FN), which is actually recall — the metric measuring how many real positives were captured, not how many predicted positives were correct.
- ✗
0.80
Why it's wrong here
Precision is TP/(TP+FP) = 80/90 ≈ 0.89, so 0.80 is wrong. It is tempting because 0.80 equals recall (TP/(TP+FN) = 80/100), and 80/100 also matches the TP count divided by total actual positives, so a candidate who confuses the denominator picks it.
- ✗
0.90
Why it's wrong here
Precision is TP/(TP+FP) = 80/90 ≈ 0.89, not 0.90. It is tempting because 0.90 equals accuracy (170/200), and the two metrics converge when false positives and false negatives are balanced, but here FP=10 and FN=20 differ, so they diverge.
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