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  • Deploying a Churn Prediction Model
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Deploying the churn predictor

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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.

External resources

  • Churn Prediction

Used extensions & nodes

Created with KNIME Analytics Platform version 4.0.0 Note: Not all extensions may be displayed.
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    KNIME Core Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.0.0

    knime
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    KNIME Ensemble Learning Wrappers Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.0.0

    knime
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