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Fairness Scorer Component with AutoML

FairML XAI Fairness Fair EXplainableAI
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Adopting the verified component Fairnes Scorer with AutoML component. Steps: 1.Read the input data 2.Split the data into train and test set 3.Use Equal Size Sampling to balance the dataset (Undersampling the frequent creditworthy class) 4.Use AutoML component to best fit the data 5.Connect Fairness Scorer component to computes fairness metrics

External resources

  • Fairness Scorer - KNIME Community Hub
  • Verified Components - knime.com

Used extensions & nodes

Created with KNIME Analytics Platform version 4.6.1
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    KNIME Base nodes Trusted extension

    KNIME AG, Zurich, Switzerland

    Versions 4.5.1, 4.6.1

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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

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    KNIME H2O Machine Learning Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

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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 4.6.1

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    KNIME Javasnippet Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

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    KNIME Machine Learning Interpretability Extension Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

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    KNIME Math Expression (JEP) Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

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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

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

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    KNIME Quick Forms Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

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    KNIME XGBoost Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

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