Evaluate a model forecasting next month's demand.
Future sales must not enter training.
Which split is appropriate?
Train on earlier periods and validate or test on later periods, preserving the time order.
Detailed explanation
This mirrors production forecasting and prevents future leakage.
This mirrors production forecasting and prevents future leakage.
Future values may leak into training.
Future values may leak into training.
The independent test period is lost.
The independent test period is lost.
Results cannot be reproduced or interpreted.
Results cannot be reproduced or interpreted.
Try it yourself
An example you can run in a temporary verification environment.
AWS公式AIF-C01ガイドDomain 1.3のデータ分割・リーケージを確認する。Expected result
時系列では無作為分割より時間順分割が必要な理由を説明できる。Key points
- Time order
- Future information
- Evaluation period
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.