BookmarkSubscribeRSS Feed

Asked & Answered: How can I override the champion model in a Model Studio machine learning project?

Started ‎11-08-2019 by
Modified ‎11-11-2019 by
Views 3,533



97403_banner_Asked&Answered_aqua.pngIn Model Studio, I have created a Data Mining and Machine Learning project with multiple pipelines. The overall champion model listed on the "Pipeline Comparison" tab is a model that I suspect is largely overfit, so I do not want to use that model. How can I set another model to be the champion for my project?


Model Studio automatically determines the best model from each pipeline (that is, a pipeline champion) based on the selection criterion set in the Model Comparison node properties (note that the default for this can be changed in the Project Settings). Then, the Pipeline Comparison tab automatically lists all pipeline champions, compares them, and select an overall project champion model, as shown here:


Comparison of models across all pipelinesComparison of models across all pipelines

You have complete control to override the selected champion model for the project. To do this, simply select a model in the table and choose "Set as champion" in the menu in the upper right just above the table (also available by right-clicking on the model in the table).


In the case where the model you want to choose is not the champion for a pipeline (and thus is not listed in the Pipeline Comparison table by default), go back to the pipeline that created that model, click on the menu button (3 dots) on that node (or right-click the node) and select "Add challenger model" as shown here:




This will then present this model to you in the Pipeline Comparison table and allow you to select it as the champion model for the project as described above.

Version history
Last update:
‎11-11-2019 09:59 AM
Updated by:



Registration is open! SAS is returning to Vegas for an AI and analytics experience like no other! Whether you're an executive, manager, end user or SAS partner, SAS Innovate is designed for everyone on your team. Register for just $495 by 12/31/2023.

If you are interested in speaking, there is still time to submit a session idea. More details are posted on the website. 

Register now!

Free course: Data Literacy Essentials

Data Literacy is for all, even absolute beginners. Jump on board with this free e-learning  and boost your career prospects.

Get Started

Article Tags