Last activity: 25 Feb 2022 12:23 EST
Creating new Adaptive Model (ADM) vs Adding new predictors into existing one
We have matured Adaptive model (ADM) on production environment with 70 predictors. Now as per the new requirement we need to consider 10 more predictors conditionally, it means new predictors will have values only in a specific scenarios.
My questions is:
- Should we include new predictors into the existing Adaptive model (ADM) ?
- Or should we create new Adaptive model (ADM) by coping existing model rule/learning and include new predictors? and update BAU strategy to trigger new model in a specific scenario, and for rest of the scenario trigger the existing model.
As per my understanding, if we go with the option#1, then the new predictors will be inactivated in BAU scenario since it will not have any values.
However option# 2 will add extra overhead to maintain the new model, providing the feedback and to maintain two models instead of one.
Please suggest, which would be better approach to proceed ?
Thank you in advance.