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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Elsevier
2022
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| 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 |