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.

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

Shapley variable importance cloud for interpretable machine

A Comprehensive Guide into SHAP Values

Machine learning for prediction of the uniaxial compressive strength within carbonate rocks

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8 Shapley Additive Explanations (SHAP) for Average Attributions

SHAP(Shapley Additive exPlanations) in XAI with an example and its

SHapley Additive exPlanations(SHAP): A Simple Explainer

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

SHapley Additive exPlanations (SHAP) importance plots for the