Skip to main content


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

Predictor performance information

Updated on July 5, 2022

View the Predictors tab to monitor the performance of individual predictors across all the models in the Adaptive Decision Manager (ADM) service. Check the number of models where the predictor is active or inactive. Identify which predictors are never used or are used often. This kind of information can be useful when you design new models or want to verify the newly introduced predictors.

You can use the following statistics to analyze predictor performance:

# Models active
The number of models in which this predictor is active.
# Models inactive
The number of models in which this predictor is not used.
Minimum performance
The lowest predictive univariate performance over all models.
Note: Even predictors with a low univariate performance can add value when they are active in any of the models.
Maximum performance
The highest predictive univariate performance over all models. This value is useful for identifying low performing predictors.
Average performance
The average predictive univariate performance over all models.

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.

Pega.com is not optimized for Internet Explorer. For the optimal experience, please use:

Close Deprecation Notice
Contact us