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Thresholding Gini variable importance with a single-trained random forest: An empirical Bayes approach
Random forests (RFs) are a widely used modelling tool capable of feature selection via a variable importance measure (VIM), however, a threshold is needed to control for false positives. In the absence of a good understanding of the characteristics of VIMs, many current approaches attempt to select...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Research Network of Computational and Structural Biotechnology
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10497997/ https://www.ncbi.nlm.nih.gov/pubmed/37711185 http://dx.doi.org/10.1016/j.csbj.2023.08.033 |