# Create Experiment

*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="/files/FBGtXHNGhVx4lXYoznK6" alt=""><figcaption></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="/files/fCREoU0DAIwDbKdeWZrt" alt=""><figcaption><p>Selecting Data Preparation</p></figcaption></figure>

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

<figure><img src="/files/94CAms7XJ5QJWMuT3nzv" alt=""><figcaption><p>Selecting Columns to be excluded from the model training</p></figcaption></figure>

* The selected columns to be excluded from the model training process appear.
* Click the ***Next*** option.             &#x20;

<figure><img src="/files/iwDfmPbN64V3sXXJHPGT" alt=""><figcaption></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="/files/cG29GprQeLxd7jGbGnxz" alt=""><figcaption><p><em><strong>Configuring the Select Experiment Page</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="/files/8wbi6U5vylCIuIx5cBrr" 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.* [***Click here***](/data-science-lab-2/data-science-lab-quick-start-flow.md) *to get redirected to the quick start flow page.*
{% endhint %}


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.bdb.ai/data-science-lab-2/project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/dataset/dataset-list-page/create-experiment.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
