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Automated Feature Selection

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Oct 6, 2020 12:08 PM
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This component applies an embedded feature selection algorithm. By default, a Random forest is used as model which could be changed inside the component.

Component details

Input ports
  1. Type: Table
    Train Data
    The algorithm will be performed on the train data.
  2. Type: Table
    Test Data
    The same columns that are filtered out for the train data will be filtered out for the test data.
Output ports
  1. Type: Table
    Selected Train Data
    The selected, i.e., filtered, train data.
  2. Type: Table
    Selected Test Data
    The selected, i.e., filtered, test data.
  3. Type: Table
    Metrics
    Performance metrics of the selected feature set.
  4. Type: Workflow Port Object
    Deployment
    A workflow port object that allows to deploy the performed actions.

Used extensions & nodes

Created with KNIME Analytics Platform version 4.2.2
  • Go to item
    KNIME Base nodesTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.2.2

    knime
  • Go to item
    KNIME Ensemble Learning WrappersTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.2.0

    knime
  • Go to item
    KNIME Integrated DeploymentTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.2.2

    knime
  • Go to item
    KNIME JavasnippetTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.2.0

    knime
  • Go to item
    KNIME Quick FormsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.2.2

    knime

This component does not have nodes, extensions, nested components and related workflows

Legal

By using or downloading the component, you agree to our terms and conditions.

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