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Group 2 Optional Steps

Predictive Analytics Machine Learning Cross Validation Scoring Bag of Models
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Solution to the optional tasks for Group 2 in KNIME Data Science Learnathon - Apply a cross validation loop to a classification model - Train a classification model with an external tool (H2O) - Train slightly different classification models using an interval loop

External resources

  • Cross-validation (statistics)
  • Models via External Integration
  • H2O Machine Learning
  • Original Airline Dataset

Used extensions & nodes

Created with KNIME Analytics Platform version 4.5.1
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    KNIME Base nodes Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.1

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    KNIME Excel Support Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.1

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    KNIME H2O Machine Learning Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

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    KNIME JavaScript Views (Labs) Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

  • Go to item
    KNIME Javasnippet Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

  • Go to item
    KNIME Math Expression (JEP) Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

  • Go to item
    KNIME Statistics Nodes Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

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