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Differences in learning characteristics between support vector machine and random forest models for compound classification revealed by Shapley value analysis
The random forest (RF) and support vector machine (SVM) methods are mainstays in molecular machine learning (ML) and compound property prediction. We have explored in detail how binary classification models derived using these algorithms arrive at their predictions. To these ends, approaches from ex...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10097675/ https://www.ncbi.nlm.nih.gov/pubmed/37045972 http://dx.doi.org/10.1038/s41598-023-33215-x |