Training a Churn Predictor

This workflow is an example of how to build a basic PMML model for a churn prediction using a Decision Tree algorithm.

Training a Churn Predictor

 

Resources

EXAMPLES Server: 50_Applications/18_Churn_Prediction/01_Training_a_Churn_Predictor50_Applications/18_Churn_Prediction/01_Training_a_Churn_Predictor*
Download a zip-archive

References:

 

 


* Find more about the Examples Server here.
The link will open the workflow directly in KNIME Analytics Platform (requirements: Windows; KNIME Analytics Platform must be installed with the Installer version 3.2.0 or higher). In other cases, please use the link to a zip-archive or open the provided path manually