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Explaining the Credit Scoring Model with Model Interpretability Components

AutoML Integrated deployment XAI MLI Machine learning interpretability
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This workflow demonstrates the usage of the verified components developed to interpret machine learning models. In the example, the Credit Scoring 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 one of the inputs for the model interpretability components. The components allow for both global (Global Surrogates, Permutation Feature Importance, Partial Dependence Plot) and local (Counterfactual Explanations, Local Surrogates, ICE, SHAP) explainability techniques.

External resources

  • KNIME Integrated Deployment - KNIME.com
  • Molnar, Christoph. "Interpretable machine learning. A Guide for Making Black Box Models Explainable", 2019.
  • Give Me Some Credit - Kaggle data set

Used extensions & nodes

Created with KNIME Analytics Platform version 4.4.0 Note: Not all extensions may be displayed.
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    KNIME Base nodes Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.0

    knime
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    KNIME Data Generation Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.0

    knime
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    KNIME Deep Learning - Keras Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.0

    knime
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    KNIME Ensemble Learning Wrappers Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.0

    knime
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    KNIME H2O Machine Learning Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.0

    knime
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    KNIME Integrated Deployment Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.0

    knime
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    KNIME JavaScript Views Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.0

    knime
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    KNIME Javasnippet Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.0

    knime
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    KNIME Machine Learning Interpretability Extension Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.0

    knime
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    KNIME Math Expression (JEP) Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.0

    knime
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    KNIME Optimization extension Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.0

    knime
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    KNIME Plotly Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.0

    knime
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    KNIME PMML Preprocessing Applier Nodes Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.0

    knime
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    KNIME Quick Forms Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.0

    knime
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    KNIME XGBoost Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.0

    knime
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