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Alteryx Analytics Cloud


Scheduled Maintenance: will be offline for maintenance at 3:00pm UTC on Tuesday March 28 for about 15 minutes.

All Access: This documentation applies to All Access releases of the Alteryx Analytics Cloud and some hosted applications. Other hosted applications may be separately available through our Early Access program. If you are interested in getting access, please contact your Alteryx representative.



During the Auto Model stage, we automatically train your models and rank them in a leaderboard, then you select what model you want to use. You can also see what features we’ve automatically created as part of the modeling and scoring process.

We automatically choose a performant model for you, but you can manually change what model you want to use from the dropdown.


The Leaderboard panel shows you information about the model you've selected, what models are available for you to select, and the ranking metric we've used to rank models in the leaderboard.

Selected Model

For any model you select, we show its score based on the ranking metric, how many features the model uses, how much better it has performed than a baseline model, and some highlights of the machine learning pipeline we've used to build the model.

The score differs based on the ranking metric you select. To learn more about specific ranking metrics, select the book icon in the header or Learn More from the Leaderboard panel.

The baseline model simulates a random guess.


The Features panel shows all the features we've used to create your machine learning models. We mark features we automatically engineered with an asterisk.

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