Counterfactual Explanations for scikit-learn (Python)

This application is a simple example of using Conterfactual Explanations (Python) component to identify the Counterfactual Instances for a Binary classification model trained with Scikit-learn in Python.

The Python object readers load the pickled model and the pickled Python object which is used for nomalisation of features. The component (in blue) can be used to select the instances to be used for Counterfactual Explanations.

External resources

• Counterfactual-Interpretable-ml-book
• KNIME Keras Extension
• How to set up KNIME.-Python extension
• Python Library for Counterfactual Instances