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Training a Churn Predictor

Customer Intelligence CI Churn Decision tree Practicing Data Science
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This workflow is an example of how to train a basic machine learning model for a churn prediction task. In this case we use a Decision Tree algorithm. However, the Learner-Predictor construct is common to all supervised algorthms.

External resources

  • Churn Prediction

Used extensions & nodes

Created with KNIME Analytics Platform version 4.6.3
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    KNIME Base nodes Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.2

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    KNIME Data Generation Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

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    KNIME Deep Learning - Keras Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

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    KNIME Ensemble Learning Wrappers Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

    knime
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    KNIME Excel Support Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.2

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    KNIME H2O Machine Learning Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

    knime
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    KNIME Integrated Deployment Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

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    KNIME JavaScript Views Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.2

    knime
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    KNIME Javasnippet Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

    knime
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    KNIME Machine Learning Interpretability Extension Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

    knime
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    KNIME Math Expression (JEP) Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

    knime
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    KNIME Optimization extension Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

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    KNIME PMML Preprocessing Applier Nodes Trusted extension

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    Version 4.6.0

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    KNIME Quick Forms Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

    knime
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    KNIME XGBoost Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.2

    knime
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