Several teams label fraudulent transactions.
Reduce differences in judgments.
Choose two quality practices.
Document positive, negative, unknown, boundary, and priority rules, and monitor agreement, team differences, and review rates.
Detailed explanation
Labeling criteria are aligned.
Labeling criteria are aligned.
Label quality changes become visible.
Label quality changes become visible.
Definitions diverge.
Definitions diverge.
Data meaning cannot be traced.
Data meaning cannot be traced.
Try it yourself
An example you can run in a temporary verification environment.
AWS公式AIF-C01 Domain 1.2のラベル品質、データ準備、機械学習ライフサイクルを確認する。Expected result
ラベル定義の不一致を検知し、版付きの基準へ改善できる。Key points
- Label definition
- Agreement
- Boundary
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.