DA0-002 Data Analysis Practice Question
A data analyst is building a binary classification model to predict customer churn. The dataset is imbalanced, with only 10% churners. The analyst wants to evaluate model performance with a focus on correctly identifying churners. Which metric is most appropriate?
⚠ Common exam trap
Many exam-takers default to accuracy as the default metric, failing to recognize that class imbalance renders accuracy misleading, and that the question's explicit focus on 'correctly identifying churners' points directly to recall, not precision or F1-score.
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 (sensitivity)
Recall (sensitivity) is the most appropriate metric because it measures the proportion of actual churners correctly identified by the model. Since the dataset is imbalanced (only 10% churners) and the analyst's focus is on correctly identifying churners, recall directly addresses the cost of missing positive cases (false negatives). Accuracy would be misleading due to class imbalance, while precision and F1-score prioritize different trade-offs.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Recall (sensitivity)
Why this is correct
Recall measures how many actual churners were correctly found, directly addressing the focus.
- ✗
F1-score
Why it's wrong here
F1 is harmonic mean of precision and recall; recall is more directly aligned with the goal.
- ✗
Precision
Why it's wrong here
Precision measures how many predicted churners are actually churners, not directly about finding churners.
- ✗
Accuracy
Why it's wrong here
Accuracy is high even if model predicts all non-churners, not useful for imbalanced data.
Go deeper
Related to this question
About these practice questions
Courseiva writes every DA0-002 question from scratch — 986 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or dumps. Learn why practice questions differ from exam dumps →
JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This DA0-002 practice question is part of Courseiva's free CompTIA certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the DA0-002 exam.