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Influence of Varying Training Set Composition and Size on Support Vector Machine-Based Prediction of Active Compounds
[Image: see text] Support vector machine (SVM) modeling is one of the most popular machine learning approaches in chemoinformatics and drug design. The influence of training set composition and size on predictions currently is an underinvestigated issue in SVM modeling. In this study, we have derive...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
American Chemical
Society
2017
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5417594/ https://www.ncbi.nlm.nih.gov/pubmed/28376613 http://dx.doi.org/10.1021/acs.jcim.7b00088 |