> For the complete documentation index, see [llms.txt](https://docs.cascade.io/cascade/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.cascade.io/cascade/tools/data_science/applymodel.md).

# Apply Model

{% hint style="info" %}
This tool is currently in Beta and is still being tested. Want to learn more? Like to provide feedback? Please reach out to <support@cascade.io>
{% endhint %}

Apply Model allows you to apply a trained model to a test dataset.

### Input/Output

| Inputs                                                                                                                                                                                                                                       | Outputs                                                                                                    |
| -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------- |
| <p><strong>Trained model</strong> - trained using the <strong>Build Model</strong> tool</p><p><strong>Test table</strong> - must include columns that match the <strong>Predictor Variables</strong> selected when the model was trained</p> | Table with a new column of predicted values based on the trained model and the columns in the test dataset |

### Options

<table data-header-hidden><thead><tr><th width="383">Option</th><th>Description</th></tr></thead><tbody><tr><td>Option</td><td>Description</td></tr><tr><td><strong>Predictor Variables</strong></td><td>Selection of columns that match the <strong>Predictor Variables</strong> of the trained model. Columns must be selected in the same order as the Predictor Variables when the model was trained</td></tr><tr><td><strong>Predictor Name</strong></td><td>Choose a name for the column with the predicted values</td></tr></tbody></table>


---

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