Document the type of a machine-learning task.
Use whether the output is a category or a continuous value.
Which use case is regression?
Regression predicts a continuous value, while classification predicts a discrete category.
Detailed explanation
A future numeric amount is a regression target.
A future numeric amount is a regression target.
A fixed class label is classification.
A fixed class label is classification.
Unlabeled grouping is clustering.
Unlabeled grouping is clustering.
Object detection handles positions and classes and is not this simple distinction.
Object detection handles positions and classes and is not this simple distinction.
Try it yourself
An example you can run in a temporary verification environment.
AWS公式AIF-C01ガイドDomain 1.1の機械学習タスク説明を確認する。Expected result
カテゴリ予測と連続値予測を分類・回帰として区別できる。Key points
- Categories
- Continuous values
- Output type
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.