Quickstart: Tabular Regression with the Graphical User Interface 
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Start NeurEco GUI and choose **Tabular Regression** template. 

.. figure:: ../../../images/ChooseProjectGUIRegression.png
    :width: 600
    :alt: Create a new NeurEco Regression project
    :align: center

    Create a new NeurEco Regression project

To build the **Regression** model, set the building parameters and provide at least the **Training data** (for more details about the building parameters, refer to :std:ref:`NeurEco Regression build parameters GUI`, for the data preparation, see :std:ref:`Data preparation for NeurEco Regression GUI`):

.. figure:: ../../../images/RegressionGUIBuildQuickTutorial.png
    :width: 600
    :alt: RegressionGUIBuildQuickTutorial
    :align: center

    Setting the building parameters for a tabular regression model using the GUI

Click the **BUILD** button, and the build will automatically start.

.. note:: 
    For detailed documentation on **Build**, see :std:ref:`Build NeurEco Regression model GUI`

To evaluate the created model, switch to the **Evaluation** panel, select the data set to evaluate, the sample to evaluate, and NeurEco will automatically update the evaluation:

.. figure:: ../../../images/RegressionGUIEvalQuickTutorial.png
    :width: 600
    :alt: RegressionGUIEvalQuickTutorial
    :align: center
    
    Evaluating a tabular regression model using the GUI
	
.. note::
    For detailed documentation on **Evaluate**, see :std:ref:`Evaluate NeurEco Regression model with GUI`

To export the model, switch to the **Export** panel, select the exporting format (Choose the exporting precision when applicable) then choose a name for the exported model:

.. figure:: ../../../images/RegressionGUIExportQuickTutorial.png
    :width: 400
    :alt: RegressionGUIExportQuickTutorial
    :align: center

    Exporting a tabular regression model using the GUI

.. note::
    For detailed documentation on **Export**, see :std:ref:`Export NeurEco Regression model with GUI`
	
.. note::
    For detailed documentation on Tabular Regression with the GUI, see :std:ref:`Tabular Regression with the GUI`.