Calculation of exact Shapley values for support vector machines with Tanimoto kernel enables model interpretation

The support vector machine (SVM) algorithm is popular in chemistry and drug discovery. SVM models have black box character. Their predictions can be interpreted through feature weighting or the model-agnostic Shapley additive explanations (SHAP) formalism that locally approximates Shapley values (SV...

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Detalles Bibliográficos
Autores principales: Feldmann, Christian, Bajorath, Jürgen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9464958/
https://www.ncbi.nlm.nih.gov/pubmed/36105596
http://dx.doi.org/10.1016/j.isci.2022.105023

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9464958/
https://www.ncbi.nlm.nih.gov/pubmed/36105596
http://dx.doi.org/10.1016/j.isci.2022.105023

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