# Majority class (machine learning)

> The more common label in a class-imbalanced dataset. For example, given a dataset containing 99% negative labels and 1% positive labels, the negative labels are the majority class.[^1]

The more common [label](https://wiki.g15e.com/pages/Label%20(machine%20learning.txt)) in a [class-imbalanced dataset](https://wiki.g15e.com/pages/Class-imbalanced%20dataset.txt). For example, given a [dataset](https://wiki.g15e.com/pages/Dataset%20(machine%20learning.txt)) containing 99% negative labels and 1% positive labels, the negative labels are the majority class.[^1]

## See also

- [Minority class](https://wiki.g15e.com/pages/Minority%20class%20(machine%20learning.txt))

## Footnotes

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