# Label (machine learning)

> In supervised machine learning, the "answer" or "result" portion of an example. Each labeled example consists of one or more features and a label. For example, in a spam detection dataset, the label would probably be either "spam" or "not spam." In a rainfall dataset, the label might be the amount of rain that fell during a certain period.[^1]

In [supervised machine learning](https://wiki.g15e.com/pages/Supervised%20learning.txt), the "answer" or "result" portion of an [example](https://wiki.g15e.com/pages/Example%20(machine%20learning.txt)). Each <labeled example> consists of one or more features and a label. For example, in a spam detection dataset, the label would probably be either "spam" or "not spam." In a rainfall dataset, the label might be the amount of rain that fell during a certain period.[^1]

## See also

- [Proxy label](https://wiki.g15e.com/pages/Proxy%20label.txt): Data used to approximate labels not directly available in a dataset.

## Footnotes

[^1]: https://developers.google.com/machine-learning/glossary#label