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  • 01_Global_Feature_Importance_Example
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Compute and Visualize Global Feature Importance Metrics

AutoML Automated machine learning Guided analytics Integrated deployment Interpretability
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This application is a simple example of inspecting global feature importance for binary and multiclass classification with KNIME Software. The key of this example is the Global Feature Importance component verified and developed by the KNIME Team. In this example, the Wine quality data set is partitioned to training and test samples. Then, the black box model (Neural Network) is trained on the standardly pre-processed training data using the AutoML component. The Workflow Object capturing the pre-processing and the model is provided as an input for the Global Feature Importance component together with the test data. The component provides the global feature importance according to four techniques: three interpretable Global Surrogate Models (GLM, Decision Tree, and Random Forest) and Permutation Feature Importance.

External resources

  • Wine quality data set (Kaggle)
  • Seven Techniques for Data Dimensionality Reduction (2015)
  • Molnar, Christoph. "Interpretable machine learning. A Guide for Making Black Box Models Explainable", 2019.
  • KNIME Integrated Deployment - KNIME.com

Used extensions & nodes

Created with KNIME Analytics Platform version 4.3.2
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    KNIME Base nodes Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.3.2

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    KNIME Data Generation Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.3.0

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    KNIME Deep Learning - Keras Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.3.1

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    KNIME Ensemble Learning Wrappers Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.3.0

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    KNIME H2O Machine Learning Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.3.0

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    KNIME Integrated Deployment Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.3.1

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    KNIME JavaScript Views Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.3.2

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    KNIME Javasnippet Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.3.0

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    KNIME Machine Learning Interpretability Extension Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.3.0

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    KNIME Math Expression (JEP) Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.3.0

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    KNIME Optimization extension Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.3.0

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    KNIME PMML Preprocessing Applier Nodes Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.3.0

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    KNIME Quick Forms Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.3.2

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    KNIME XGBoost Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.3.1

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