9.6 SHAP (SHapley Additive exPlanations)

Machine learning algorithms usually operate as black boxes and it is unclear how they derived a certain decision. This book is a guide for practitioners to make machine learning decisions interpretable.

Shapley Additive Explanations (SHAP plot) showed the contribution

9.5 Shapley Values Interpretable Machine Learning

Complete Guide to SHAP - SHAPley Additive exPlanations for

SHAP : A Comprehensive Guide to SHapley Additive exPlanations

Transparency of Machine Learning Models in Credit Scoring

Interpretable Machine… by Christoph Molnar [PDF/iPad/Kindle]

Motivation, preference, socioeconomic, and building features: New paradigm of analyzing electricity consumption in residential buildings - ScienceDirect

Interpretable machine learning model for evaluating mechanical properties of concrete made with recycled concrete aggregate - Nguyen - Structural Concrete - Wiley Online Library

From local explanations to global understanding with explainable