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Auto feature engineering workflow

Feature Generation Regression Feature Engineering
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There are two workflows: One for data which is not large. Full (or 80% of data) can be used for training and rest for testing, feature generation and subsequent ML model building. IInd workflow is for large data where a fraction of it is used for 'autofeat' modeling and then this model is used to create features in the full training dataset. Two components have been used: auto feature generator I and auto feature generator II.

External resources

  • Automatic Feature Engineering and Selection
  • The autofeat Python Library for Automated Feature Engineering and Selection

Used extensions & nodes

Created with KNIME Analytics Platform version 4.0.2
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    KNIME Core Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.0.2

    knime
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    KNIME Python Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.0.0

    knime
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    KNIME Quick Forms Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.0.2

    knime
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