One classification threshold produces very different precision and recall across groups.
Consider fairness and business requirements together.
Choose two considerations.
Measure group-level errors and relevant legal or policy requirements, then reassess all groups after any threshold change.
Detailed explanation
A single metric cannot describe every impact.
A single metric cannot describe every impact.
An improvement for one metric can create another disparity.
An improvement for one metric can create another disparity.
Exclusion does not improve fairness.
Exclusion does not improve fairness.
Legal and ethical compliance cannot be concluded from accuracy alone.
Legal and ethical compliance cannot be concluded from accuracy alone.
Try it yourself
An example you can run in a temporary verification environment.
AWS公式AIF-C01ガイドDomain 4.1の公平性・バイアス評価を確認する。Expected result
指標、影響、方針、変更後評価を組み合わせた公平性検討を説明できる。Key points
- Group metrics
- Trade-offs
- Re-evaluation
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
- Command output formatting can vary slightly by distribution or tool version.
- Run the example in a temporary directory or process when possible.
Foundation review
Read the scope first
Check whether the command acts on the current shell, a new process, an existing process, or a file.
Verify the observable result
Use the supplied command and compare the output with the expected result.