# Creating Experiments

There can be different types of Experiments based on the algorithm type specified. In DS Lab we support Classification and Regression.

* A Classification experiment can be created for discrete data.
* A Regression experiment can be created for continuous data.

{% hint style="info" %}
*<mark style="color:green;">Please Note:</mark>*

* *AutoML experiments are running as Jobs and a new Job will get allocated for each experiment created in the AutoML tab.*
* *Jobs will spin up once Experiment is created and after models are trained and ready, it will get killed automatically.*&#x20;
* *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 %}


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# 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/auto-ml/creating-experiments.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.