AI0-001 Implementing AI Solutions Practice Question
A company is building an AI-powered document intelligence system to extract key fields from scanned invoices. The data contains 95% of invoices from one vendor and 5% from others. During model training, the F1 score is 0.95 on the overall test set, but the performance on the minority vendor invoices is very poor. What is the MOST likely cause?
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 dataset is imbalanced, and the model is biased toward the majority class
The imbalanced dataset causes the model to learn mostly from the majority class, leading to poor performance on the minority class. The other options are less likely given the high overall F1 score.
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 is overfitting on the minority class
Why it's wrong here
Overfitting on the minority class would lead to high performance on minority and poor on majority, which is not the case.
- ✓
The dataset is imbalanced, and the model is biased toward the majority class
Why this is correct
Imbalanced data causes the model to optimize for the majority class, ignoring minority classes.
- ✗
The data has a train/test leakage problem
Why it's wrong here
Train/test leakage usually causes inflated performance on both classes, not just one.
- ✗
The feature extraction is incorrect for the minority vendor invoices
Why it's wrong here
While possible, the most common and likely cause is class imbalance, especially when the overall F1 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.