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Explaining Multiclass Compound Activity Predictions Using Counterfactuals and Shapley Values
Most machine learning (ML) models produce black box predictions that are difficult, if not impossible, to understand. In pharmaceutical research, black box predictions work against the acceptance of ML models for guiding experimental work. Hence, there is increasing interest in approaches for explai...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10383571/ https://www.ncbi.nlm.nih.gov/pubmed/37513472 http://dx.doi.org/10.3390/molecules28145601 |