Search over tree depth and regularization.
Do not overfit the final test set.
Choose two appropriate practices.
Use training and validation data for candidate selection, hold out the test set, and record the search space, seed, metric, and stopping rule.
Detailed explanation
Model selection remains separate from final evaluation.
Model selection remains separate from final evaluation.
The search can be reproduced and controlled.
The search can be reproduced and controlled.
The test set becomes part of development.
The test set becomes part of development.
Deployment conditions still need validation.
Deployment conditions still need validation.
Try it yourself
An example you can run in a temporary verification environment.
AWS公式AIF-C01 Domain 1.3のモデル選択、検証、再現性を確認する。Expected result
探索と最終テストの役割を分け、再現可能な条件を記録できる。Key points
- Validation
- Test
- Reproducibility
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.