# Feature (machine learning)

> An input variable to a ML model. An example consists of one or more features. For instance, suppose you are training a model to determine the influence of weather conditions on student test scores. The following table shows three examples, each of which contains three features and one label:[^1]

An input variable to a [ML model](https://wiki.g15e.com/pages/Model%20(machine%20learning.txt)). An [example](https://wiki.g15e.com/pages/Example%20(machine%20learning.txt)) consists of one or more features. For instance, suppose you are training a model to determine the influence of weather conditions on student test scores. The following table shows three examples, each of which contains three features and one label:[^1]

| Features    |          |          | Label      |
| ----------- | -------- | -------- | ---------- |
| Temperature | Humidity | Pressure | Test score |
| 15          | 47       | 998      | 92         |
| 19          | 34       | 1020     | 84         |
| 18          | 92       | 1012     | 87         |

## Footnotes

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