# Multiclass Classification

Multiclass classification models predict one of more than two outcomes. In Aporia, these models are represented with the `multiclass` model type.

Examples of multiclass classification problems:

* Is this product a book, movie, or clothing?
* Is this movie a romantic comedy, documentary, or thriller?
* Which category of products is most interesting to this customer?

### Data Format In DB

If you have a model with one category prediction, then your database may look like the following:

<table><thead><tr><th width="76">id</th><th width="132">feature1 (numeric)</th><th width="141">feature2 (boolean)</th><th width="149">prediction (category)</th><th>label (category)</th><th width="191">timestamp (datetime)</th></tr></thead><tbody><tr><td>1</td><td>13.5</td><td>True</td><td>Cat</td><td>Cat</td><td>2014-10-19 10:23:54</td></tr><tr><td>2</td><td>-8</td><td>False</td><td>Dog</td><td>Cat</td><td>2014-10-19 10:24:24</td></tr></tbody></table>

To integrate this type of model follow our [Quickstart](https://docs.aporia.com/introduction/quickstart), and during the schema mapping remember to include a `categorical` prediction field and `categorical` actual field and linked them together.

Check out the [data sources section](https://docs.aporia.com/data-sources) for more information about how to connect from different data sources.