MLA-C01 ML Model Development Practice Question
A data scientist is evaluating a binary classification model. They have the confusion matrix and want to assess the model's performance comprehensively. Which THREE metrics should they consider? (Select THREE.)
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
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Precision
Why this is correct
Precision measures the accuracy of positive predictions.
- ✗
RMSE
Why it's wrong here
RMSE is a regression metric.
- ✓
Recall
Why this is correct
Recall measures the ability to find all positive instances.
- ✓
F1 score
Why this is correct
F1 is the harmonic mean of precision and recall.
- ✗
R²
Why it's wrong here
R² is a regression metric.
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