AI0-001 AI Concepts and Techniques Practice Question
A team is developing a sentiment analysis model and obtains the following performance on the test set: accuracy=0.92, precision=0.75, recall=0.80, F1=0.77. The baseline majority-class classifier achieves 0.85 accuracy. Which conclusion is MOST justified?
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
✓
The model likely suffers from class imbalance, as the gap between accuracy and precision suggests
Accuracy is high but precision and recall are notably lower, indicating class imbalance where the model biases toward the majority class, inflating accuracy.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
The model should use a different evaluation metric like BLEU
Why it's wrong here
BLEU is for text generation, not classification.
- ✓
The model likely suffers from class imbalance, as the gap between accuracy and precision suggests
Why this is correct
High accuracy with lower precision/recall is a classic sign of imbalance; the model predicts majority class too often.
- ✗
The model is excellent because accuracy is high
Why it's wrong here
Accuracy alone is insufficient; precision and recall tell a different story.
- ✗
The model has high variance and is overfitting
Why it's wrong here
Overfitting would show high training accuracy but low test accuracy; here test accuracy is high.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AI0-001 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 AI0-001 exam.