Skip to main content

         This documentation site is for previous versions. Visit our new documentation site for current releases.      

This content has been archived and is no longer being updated.

Links may not function; however, this content may be relevant to outdated versions of the product.

Adaptive models have poor performance

Updated on March 11, 2021

Adaptive models that are displayed in the adaptive models reports have low performance.

For more information about adaptive model reports, see Viewing summarized adaptive model reports.


The performance of a model is an indication of its predictive power. If the performance is low, the scores of the model have a low statistical correlation with the outcome that is to be predicted. The minimum value for the Coefficient of Concordance is 50.

There are a number of reasons why adaptive models might have low performance:

  • Adaptive models miss some values for predictors.
  • The values for predictors are not set.
  • The values for parameterized predictors are not set.
  • No active predictors are in the adaptive models.
  • The adaptive models do not receive any responses or sufficient responses.
  • The potential predictors available to the models are not correlated to the outcome.


  1. Depending on the cause, a system architect can perform the following actions:
  • Previous topic Adaptive Decision Manager does not capture responses for adaptive models
  • Next topic No adaptive models are displayed in the adaptive model reports

Have a question? Get answers now.

Visit the Support Center to ask questions, engage in discussions, share ideas, and help others.

Did you find this content helpful?

Want to help us improve this content?

We'd prefer it if you saw us at our best. is not optimized for Internet Explorer. For the optimal experience, please use:

Close Deprecation Notice
Contact us