> For the complete documentation index, see [llms.txt](https://docs.bdb.ai/data-science-lab-3/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-3/project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/auto-ml/creating-automl-experiments/creating-an-experiment.md).

# Creating an Experiment

Creating an Experiment is a two-step process that involves configuration and selection of the algorithm type as steps.

A user can create a supervised learning (data science) experiment by choosing the ***Create Experiment*** option.&#x20;

{% 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://2587201349-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FBLGYLEkBUnc8nVEBAuEI%2Fuploads%2FkxllMIhGlQp08zpipOhc%2Fimage.png?alt=media&amp;token=5b84a877-f292-49f8-ad83-0a0d006b8268" alt=""><figcaption><p>Accessing the Create Experiment option for a Dataset</p></figcaption></figure>

* 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://2587201349-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FBLGYLEkBUnc8nVEBAuEI%2Fuploads%2FA6dWp15T7JUkr7pMAA6Y%2Fimage.png?alt=media&amp;token=300c9da2-0ba1-4d37-970d-47a3e6470bf1" 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://2587201349-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FBLGYLEkBUnc8nVEBAuEI%2Fuploads%2FLcMf4sBE2eONXN74grry%2Fimage.png?alt=media&amp;token=b6e98e74-5cbf-4515-8dd6-90b64685165e" 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://2587201349-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FBLGYLEkBUnc8nVEBAuEI%2Fuploads%2FIKZWKE3MuExYJHfqmSy6%2Fimage.png?alt=media&amp;token=830a7f3d-d021-45af-a85b-ca2a75014f25" 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://2587201349-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FBLGYLEkBUnc8nVEBAuEI%2Fuploads%2FgeNA52KHwrTUR6wVmJfe%2Fimage.png?alt=media&amp;token=e0640422-d25b-4940-ba00-d22ae217c6d5" 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://2587201349-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FBLGYLEkBUnc8nVEBAuEI%2Fuploads%2F8VzcuszFCeMByQtmIU1l%2Fimage.png?alt=media&amp;token=a8a7db80-32bb-45b6-8ec0-c6c28697c2f7" alt=""><figcaption></figcaption></figure>

{% hint style="info" %}
*<mark style="color:green;">Please Note:</mark> Refer the* [***Data Science Lab Quick Start Flow*** ](https://docs.bdb.ai/data-science-lab-3/data-science-lab-quick-start-flow)*page to get an overview of the **Data Science Lab** module in nutshell.*&#x20;
{% endhint %}
