> 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/buildmodel.md).

# Build 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 %}

Build Model allows you to train a predictive model based on training data.

### Input/Output

| Inputs                                                                                                                                                                                                                                  | Outputs       |
| --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------- |
| **Training table** - must include column to use as the Target Variable (the variable you want the model to predict) and at least one column to use as the Predictor Variable (the variables that you think predict the Target Variable) | Trained model |

### Options

| Option                  | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                |
| ----------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| **Model Type**          | <p>The type of algorithm used to predict your Target Variable. The best model type will depend on your Target Variable. Includes the following options:</p><ul><li><strong>Linear Regression</strong>: used with continuous, numeric Target Variables</li><li><strong>Logistic Regression</strong>: used with binary or categorical Target Variables</li><li><strong>Decision Tree Classifier</strong>: used with categorical Target Variables</li><li><strong>Decision Tree Regressor</strong>: used with continuous, numeric Target Variables.</li></ul> |
| **Target Variable**     | Column in the source table you want the model to predict                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   |
| **Predictor Variables** | Column(s) in the source table you think could predict your Target Variable                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 |


---

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