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Artificial Intelligence — CBSE Class 10 board question

Q1. [2]
Suppose you are developing an AI model to detect fraudulent financial transaction risk. Describe False Positives and False Negatives in this context.
Previously asked in CBSE board exam
2024 104 Q16
Generated by claude-sonnet-4-6 · 2026-06-21 03:19 · grounding rag
Model Answer

False Positive (FP): A legitimate transaction is incorrectly flagged as fraudulent. This causes inconvenience to genuine customers whose valid transactions are blocked unnecessarily.

False Negative (FN): A fraudulent transaction is incorrectly classified as legitimate. This is more dangerous as actual fraud goes undetected, causing financial loss.

Explanation

The examiner expects you to clearly define both terms in context (fraud detection), not in general. Always mention the real-world consequence — for fraud detection, FN is costlier because actual fraud is missed. This shows conceptual understanding, which CBSE rewards. Remember: FP = wrongly accused legitimate; FN = missed actual fraud.

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