This workflow is an example of 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.
EXAMPLES Server: 50_Applications/18_Churn_Prediction/02_Deploying_the_Churn_Predictor50_Applications/18_Churn_Prediction/02_Deploying_the_Churn_Predictor*
Download a zip-archive
* 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