# Labeled example

> An example that contains one or more features and a label. For example, the following table shows three labeled examples from a house valuation model, each with three features and one label:

An [example](https://wiki.g15e.com/pages/Example%20(machine%20learning.txt)) that contains one or more [features](https://wiki.g15e.com/pages/Feature%20(machine%20learning.txt)) and a [label](https://wiki.g15e.com/pages/Label%20(machine%20learning.txt)). For example, the following table shows three labeled examples from a house valuation model, each with three features and one label:

|Number of bedrooms|Number of bathrooms|House age|House price (label)|
|---|---|---|---|
|3|2|15|$345,000|
|2|1|72|$179,000|
|4|2|34|$392,000|

In [supervised machine learning](https://wiki.g15e.com/pages/Supervised%20learning.txt), models train on labeled examples and make predictions on [unlabeled examples](https://wiki.g15e.com/pages/Unlabeled%20example.txt)