> For the complete documentation index, see [llms.txt](https://docs.bdb.ai/data-science-lab-4/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.bdb.ai/data-science-lab-4/project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/dataset/dataset-list-page/create-experiment.md).

# Create Experiment

This option helps the users to create an Auto ML experiment on the selected Dataset.

*A user can create a supervised learning (data science) experiment by choosing the Create Experiment option.*

{% hint style="info" %}
*<mark style="color:green;">Please Note:</mark> The Create Experiment icon is provided on the **Dataset List** page under the **Dataset tab** of a Data Science Project.*&#x20;
{% endhint %}

* Navigate to the **Dataset List** page.
* Select a Dataset from the list.
* Click the ***Create Experiment*** icon.

<figure><img src="https://content.gitbook.com/content/1QeOywZjV1cHo55cMW8u/blobs/lTk7GcYGKvTtu4dJsCKS/image.png" alt=""><figcaption><p>Accessing the Create Experiment option for a Dataset</p></figcaption></figure>

{% hint style="info" %}
*<mark style="color:green;">Please Note:</mark> An experiment gets initiated in two steps:*

* ***Configure**: Enter Experiment name, Description, and Target column.*

* ***Select Experiment Typ**e: Classification for discrete data and Regression for continuous data (numeric value).*
  {% endhint %}

* The ***Configure*** tab opens (by default) while opening the ***Create Experiment form***.

* Provide the following information:
  * Provide a name for the experiment.
  * Provide Description (optional).
  * Select a Target Column.
  * Select a Data Preparation from the drop-down menu.
    * Use check-box to select a Data Preparation from the displayed drop-down.

<figure><img src="https://content.gitbook.com/content/1QeOywZjV1cHo55cMW8u/blobs/KHiisx3WBRhBogvgcPw6/image.png" alt=""><figcaption><p>Selecting Data Preparation</p></figcaption></figure>

* Select columns that need to be excluded from the experiment.
  * Use check-box to select a field to be excluded from the experiment.

{% hint style="info" %}
*<mark style="color:green;">Please Note:</mark> The selected fields will not be considered while training the Auto ML model experiment.*
{% endhint %}

<figure><img src="https://content.gitbook.com/content/1QeOywZjV1cHo55cMW8u/blobs/Ts4CXMsGntC4ffEH2pse/image.png" alt=""><figcaption><p><em><strong>Selecting Columns to be excluded from the model training</strong></em></p></figcaption></figure>

* Click the ***Next*** option.             &#x20;

<figure><img src="https://content.gitbook.com/content/1QeOywZjV1cHo55cMW8u/blobs/PKFG4rPucbWyX0wbH2sQ/image.png" alt=""><figcaption><p><em><strong>Configure tab with selected Data Preparations and excluded fields</strong></em></p></figcaption></figure>

* The user gets redirected to the ***Select Experiment Type*** tab.
* Select a prediction model using the checkbox.
* *Based on the selected experiment type a validation notification message appears.*
* Click the ***Done*** option.

<figure><img src="https://content.gitbook.com/content/1QeOywZjV1cHo55cMW8u/blobs/q4rT9DDFh9IKKpqajYFW/image.png" alt=""><figcaption><p><em><strong>Selecting Experiment Type</strong></em></p></figcaption></figure>

* A notification message appears.
* The user gets redirected to the Auto ML list page.
* The newly created experiment gets added to the list.

<figure><img src="https://content.gitbook.com/content/1QeOywZjV1cHo55cMW8u/blobs/NsdEvI5X912xfSrslcoS/image.png" alt=""><figcaption></figcaption></figure>

{% hint style="info" %}
*<mark style="color:green;">Please Note:</mark> Refer the **Data Science Lab Quick Start Flow** page to get an overview of the **Data Science Lab** module in nutshell.*&#x20;
{% endhint %}