Practical Explainable AI Using Python: Artificial Intelligence Model Explanations Using Python-based Libraries, Extensions, and Frameworks

© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2022

P. MishraPractical Explainable AI Using Pythonhttps://doi.org/10.1007/978-1-4842-7158-2_10

10. Counterfactual Explanations for XAI Models

Pradeepta Mishra¹  

(1)

Sobha Silicon Oasis, Bangalore, Karnataka, India

 

This chapter explains the use of the What-If Tool (WIT) to explain counterfactual definitions in AI models, such as machine learning-based regression models, classification models, and multi-class classification models. As a data scientist, you don’t just develop a machine learning model; you make sure that your model is not biased and that it is fair about the decisions it makes for new observations that it predicts for the future. It is very important ...