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Accenture
Posted: March 21, 2019
Last activity: April 3, 2019
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Types of predictive models available in PAD
As far as I know, there are currently two main types of predictive models available in PAD:
- scoring (binary output)
- spectrum (prediction of continuous behavior)
However, would it be possible to create one single model for dependent variable having multiple classes, i.e.: predicting propensities of purchase for multiple products, or multiple models would need to be built for each product in order to get individual score for single products?
Thank you.
You are right, those are two main types of predictive models in Pega (there is another called extended scoring model which requires separate license (reference: https://community.pega.com/sites/default/files/help_v81/pxpredictionstudio/procomhelpmain.htm#dsm/da-portal/concepts/da-predictive-models-con.htm). I don't see why you cannot use 'product' as one of the dependent variables (or feature in data science term) for either model types.