MLS-C01 Modeling Practice Question
A data scientist is building a binary classifier and obtains the following confusion matrix on the test set: TP=80, FP=20, TN=70, FN=30. What is the precision?
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
✓
0.8
Precision = TP / (TP+FP) = 80/(80+20)=0.8. Recall = TP/(TP+FN)=80/110≈0.727. Accuracy = (80+70)/200=0.75. F1 = 2*(0.8*0.727)/(0.8+0.727)≈0.762.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
0.727
Why it's wrong here
This is recall, not precision.
- ✓
0.8
Why this is correct
Precision = TP/(TP+FP) = 80/100 = 0.8.
- ✗
0.75
Why it's wrong here
This is accuracy.
- ✗
0.762
Why it's wrong here
This is the F1 score.
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