AI & LLM Evals / Quiz
Precision, Recall & F1 for QA Classifiers
Your hallucination detector is itself a classifier. If you can't read a confusion matrix, you can't tell whether your evaluator works.
- Difficulty
- Easy
- Format
- Quiz
- Points
- 100
- Estimate
- 9 min
// MISSION BRIEF
Your Mission
Half of AI-eval work is evaluating classifiers: a safety filter, a hallucination detector, a spam gate. Judging them requires precision, recall, F1, and a confusion matrix. This quiz drills the fundamentals every AI tester must own.
Scoring: equal weight per question.
// FIRST CONTACT
Battle teaser
A safety classifier flags 100 items as harmful; 80 truly are. Its precision is:
- A80% of all harmful items in the dataset
- B80% (true positives / all flagged positives)
- CThe false-negative rate
- DUndefined without latency
Answers, scoring, hints, and the full battle stay sealed.
// SKILL TAGS
ai-evalsprecision-recallf1confusion-matrixclassification