1.2Standard
False negatives are costly in an approval model.
Map scores to business decisions.
Choose two practices.
× Incorrect
Choose a classification threshold from validation precision, recall, group impact, and business costs rather than a fixed convention.
Detailed explanation
IncorrectA fixed 0.5 is optimal for every business
Costs and distributions differ.
IncorrectChanging a threshold cannot change performance
Precision and recall change.
CorrectCompare precision, recall, and error costs on validation data
Scores are mapped to business needs.
CorrectCheck performance and threshold effects by region or group
Bias is less likely to be missed.
Check official documentation
Compare the following points with the official documentation.
AWS公式AIF-C01 Domain 1.2の分類しきい値、適合率、再現率、公平性を確認する。
Official references
What to confirm
誤りのコストとグループ影響を考慮してしきい値を設定できる。
Key points
- Threshold
- Business cost
- Group gap
Notes
- Environment: AWS公式AIF-C01試験ガイドとAWS公式ドキュメントの確認
- Compare the definition with the AIF-C01 objective and the service documentation before applying it.
- Keep the concept separate from a particular answer choice or implementation step.
Foundation review
Classification threshold
A score boundary used to convert a prediction into a class decision.
False positive
A negative case incorrectly identified as positive.
Question IDAWS-AIF-452
EnvironmentAWS公式AIF-C01試験ガイドとAWS公式ドキュメントの確認
Last technical review2026-08-20
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