To predict if a customer is likely to churn you use a model of type

To predict if a customer is likely to churn, you use a model of type decision tree. A decision tree is a

type of predictive model that uses a set of rules to classify customers into different categories based

on their attributes and behavior. A decision tree can predict a binary outcome (such as churn or not

churn) or a multi-class outcome (such as low risk, medium risk, or high risk). Reference:

https://academy.pega.com/module/predictive-analytics/topic/using-decision-tree-models