Cargando…
Alternative stopping rules to limit tree expansion for random forest models
Random forests are a popular type of machine learning model, which are relatively robust to overfitting, unlike some other machine learning models, and adequately capture non-linear relationships between an outcome of interest and multiple independent variables. There are relatively few adjustable h...
| Autores principales: | , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9448733/ https://www.ncbi.nlm.nih.gov/pubmed/36068261 http://dx.doi.org/10.1038/s41598-022-19281-7 |