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02_Deploying_a_Churn_Predictor

Customer IntelligenceCIChurnDeploymentData visualization
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Versionv5.4Latest, created on 
Mar 25, 2025 8:42 PM
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Deploying a churn predictor

This workflow is an example of how to deploy a basic machine learning model (built in workflow "01_Training_a_Churn_Predictor") for churn prediction.

Notice the component "Churn Visualization" at the end of the workflow, which performs the visualization of (1) the input customers in a tile view and (2) the churning probabilities in a bar chart.

If you use this workflow, please cite:
F. Villaroel Ordenes & R. Silipo, “Machine learning for marketing on the KNIME Hub: The development of a live repository for marketing applications”, Journal of Business Research 137(1):393-410, DOI: 10.1016/j.jbusres.2021.08.036.

External resources

  • Churn Prediction
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Used extensions & nodes

Created with KNIME Analytics Platform version 5.4.0
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    KNIME Base nodesTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.4.0

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    KNIME Ensemble Learning WrappersTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.4.0

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    KNIME JavaScript ViewsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.4.0

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    KNIME JavasnippetTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.4.0

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