Posted: 14 Jun 2021 7:47 EDT Last activity: 14 Jun 2021 10:59 EDT
Evidence, Performance and propensity
What is the difference between Propensity, Evidence and Performance in Adaptive model.?
Model Evidence and Model Performance are the actual outputs of the adaptive model (set on the Output mappings tab), pyPropensity is the main model output. This is not clear in pega academy tutorial. Can I have one example?
***Edited by Moderator Marissa to update Platform Capability tags****
Yes. But. First of all the responses are only attributed to the model if everything is wired correctly - most importantly the labels in the response must match the outcomes defined on the model. Also, the response count may not be updated immediately, that depends on some settings in the model and service configuration.
@Otto_Perdeck These are general questions only. If everything works correctly, then recorded responses count in the model management page is same as the Model Evidence count of Adaptive model in a strategy. Thanks.
Posted: 1 year ago
Posted: 14 Jun 2021 9:24 EDT
Otto Perdeck (Otto_Perdeck)
Director, Data Science, Machine Learning & AI