Explaining the Credit Scoring Model with the XAI View

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 XAI View component.

The XAI View component is then used for inspection of predictions for a group of loan applicants with SHAP Values, PDP, ICE, and Surrogate Decision Tree.

External resources

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