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Training and Testing a Customer Churn Predictor with KNIME and Snowflake

Snowflake Customer Intelligence CI Churn Marketing Analytics
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This workflow is an example of how to train a machine learning model in KNIME with data sampled from Snowflake. Once the model is applied at scale to the rest of the data in Snowflake to evaluate its reliability.

Used extensions & nodes

Created with KNIME Analytics Platform version 4.5.2
  • KNIME Base nodes Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.2

    KNIME profile image
    knime
  • KNIME Database Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.2

    KNIME profile image
    knime
  • KNIME H2O Machine Learning Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

    KNIME profile image
    knime
  • KNIME H2O Machine Learning Integration - MOJO Extension Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

    KNIME profile image
    knime
  • KNIME H2O Snowflake Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.2

    KNIME profile image
    knime
  • KNIME JavaScript Views (Labs) Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

    KNIME profile image
    knime
  • KNIME Snowflake Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.2

    KNIME profile image
    knime
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