This workflow shows how to deploy a basic PMML model (built in workflow "01_Training_a_Churn_Predictor") for churn prediction.
Using PMML you only need 4 nodes for the whole workflow to export data for the report. PMML is transparent to the model type, be it a neural network or a decision tree, the PMML Predictor node understands all.
Workflow
Deploying the churn predictor
External resources
Used extensions & nodes
Created with KNIME Analytics Platform version 4.0.0
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KNIME AG, Zurich, Switzerland
Version 4.0.0
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KNIME AG, Zurich, Switzerland
Version 4.0.0
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