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.

ML Explainability - Shapley Values & SHAP Library

8.2 Accumulated Local Effects (ALE) Plot

5.6 RuleFit Interpretable Machine Learning

SHAP (SHapley Additive exPlanations), by Cory Maklin

8 Shapley Additive Explanations (SHAP) for Average Attributions

8 Shapley Additive Explanations (SHAP) for Average Attributions

5.3 GLM, GAM and more Interpretable Machine Learning

Understanding SHAP for Interpretable Machine Learning

Performance of Different Machine Learning Algorithms in Detecting Financial Fraud

Density scatter plot showing SHapley Additive exPlanation (SHAP

Materials, Free Full-Text

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

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

SHAP : A Comprehensive Guide to SHapley Additive exPlanations

An Introduction to SHAP Values and Machine Learning