Invoice Fraud Screening Confusion Matrix
This binary matrix separates invoices that were actually clear from those identified as fraud after review. A fraud invoice predicted clear is a false negative, while a clear invoice sent to review is a false positive. Both matter, but their business costs are different. The chart gives analysts a shared view of that trade-off before they adjust a model threshold or change review capacity. It does not establish an acceptable error rate on its own. That decision requires fraud-loss estimates, analyst capacity and governance. Use a fixed evaluation period and documented ground truth when comparing successive models.
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Scenario
Risk analysts review a screening model before changing its alert threshold.
Key decisions
- Identify false clears: Missed fraud can carry high risk.
- Identify false reviews: Extra reviews consume analyst time.
- Keep labels precise: Review is not the same as confirmed fraud.
When to reuse this
Use for threshold discussion with a documented labeling process.
Frequently asked questions
What is a false negative here?
What is a false positive?
Can a threshold change the matrix?
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