# Experiments (AutoML)

The Experiments (Auto ML) menu is used to automatically test various machine learning model configurations to find the best model. On the MLOps menu page, select the Experiments (AutoML) menu.

<figure><img src="https://lh7-rt.googleusercontent.com/docsz/AD_4nXdo_rLVezgHMjZeF--bRiS2eFvQtly0K-MWL0gdFukLw-C3j5LooL1XRLj6FJYNqBxzm3xeHPSgAQSSyajRwdAEvv9zbj7dG122X2_yKxV1pryZW7OA4Sr6XXt9hXVH5XKdOgbOfonUG9yjLntjfseT9Kyh?key=LVQ1qyxGTmR2_dnptAsYnQ" alt=""><figcaption><p> Experiments (Auto ML)</p></figcaption></figure>

You can also use the Experiments (AutoML) menu to submit Experiments and to monitor your Experiments results. Katib supports a lot of various AutoML algorithms, such as Bayesian optimization, Tree of Parzen Estimators, Random Search, Covariance Matrix Adaptation Evolution Strategy, Hyperband, Efficient Neural Architecture Search, Differentiable Architecture Search and many more.


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