This workflow is an example of how to train a basic machine learning model for a churn prediction task. In this case we use a Decision Tree algorithm. However, the Learner-Predictor construct is common to all supervised algorthms.
Workflow
Training a Churn Predictor
External resources
Used extensions & nodes
All required extensions are part of the default installation of KNIME Analytics Platform version 4.6.3
No known nodes available
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