Analyze Data by Training a Decision Tree Classifier for Churn Prediction

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 algorithms.

External resources

• KNIME Cheat Sheet : Building a KNIME Workflow for Beginners
• KNIME Self Paced Course
• Predict customer churn: A low-code machine learning example - KNIME Blog