> 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/auto-ml/creating-automl-experiments.md).

# Creating AutoML Experiments

A Data Scientist can create various Experiments based on specified algorithms.

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

* A Classification experiment can be created for discrete data when the user wants to predict one of the several categories.
* A Regression experiment can be created for continuous numeric values.
* A Forecasting experiment can be created for predicting future values based on the historical 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***](https://docs.bdb.ai/data-science-lab-4/data-science-lab-quick-start-flow) *page to get an overview of the **Data Science Lab** module in nutshell.*&#x20;
  {% endhint %}