> For the complete documentation index, see [llms.txt](https://docs.cloudeka.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.cloudeka.ai/guidance-for-enterprise/deka-gpu-mlops/experiments-automl.md).

# Experiments (AutoML)

The **Experiments (AutoML)** menu is used to automatically test various machine learning model configurations to identify the best-performing model. On the Cloudeka Deka MLOps Service Portal page, select the **Experiments (AutoML)** menu.

<figure><img src="/files/eX8AIKNbH3RpGHinzHUR" alt=""><figcaption></figcaption></figure>

You can also use the **Experiments (AutoML)** menu to submit experiments and monitor their results. Katib supports various AutoML algorithms, including Bayesian Optimization, Tree of Parzen Estimators (TPE), Random Search, Covariance Matrix Adaptation Evolution Strategy (CMA-ES), Hyperband, Efficient Neural Architecture Search (ENAS), Differentiable Architecture Search (DARTS), and many others.