02 Analyze Data by Applying a Churn Predictor

Analyze Data: Applying a Churn Predictor

This workflow demonstrates the use case of accessing a trained model and using it for churn prediction on new set of rows. The PMML Reader node is used to read the trained model that was written by the previous workflow in this workflow group.

Link to the training workflow: https://hub.knime.com/s/tqVpSXd1crC_Fes6

External resources

• KNIME Learning Center
• KNIME Cheat Sheet: Building a KNIME workflow for beginners
• KNIME Cheat Sheet: Machine learning with KNIME Analytics Platform
• YouTube: Training and Applying Decision Trees in KNIME
• YouTube: Behind the Scenes of the Decision Tree with KNIME
• Webinar: KNIME101: Machine Learning for Beginners with KNIME
• Training Workflow