# True negative

> An example in which the model *correctly* predicts the negative class. For example, the model infers that a particular email message is *not spam*, and that email message really is *not spam*.[^1]

An example in which the [model](https://wiki.g15e.com/pages/Model%20(machine%20learning.txt)) *correctly* predicts the [negative class](https://wiki.g15e.com/pages/Negative%20class%20(machine%20learning.txt)). For example, the model infers that a particular email message is *not spam*, and that email message really is *not spam*.[^1]

## Footnotes

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