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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SHAP : A Comprehensive Guide to SHapley Additive exPlanations
Application of explainable artificial intelligence in the identification of Squamous Cell Carcinoma biomarkers - ScienceDirect
Motivation, preference, socioeconomic, and building features: New paradigm of analyzing electricity consumption in residential buildings - ScienceDirect
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Complete Guide to SHAP - SHAPley Additive exPlanations for
The beeswarm graph of SHAP values of each feature
8 Shapley Additive Explanations (SHAP) for Average Attributions
5.3 GLM, GAM and more Interpretable Machine Learning
8 Shapley Additive Explanations (SHAP) for Average Attributions
Interpretable Machine Learning: A Guide For Making Black Box Models Explainable: Molnar, Christoph: 9798411463330: : Books
Transparency of Machine Learning Models in Credit Scoring
Complete Guide to SHAP - SHAPley Additive exPlanations for
Transparency of Machine Learning Models in Credit Scoring
