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Random forest versus logistic regression: a large-scale benchmark experiment
BACKGROUND AND GOAL: The Random Forest (RF) algorithm for regression and classification has considerably gained popularity since its introduction in 2001. Meanwhile, it has grown to a standard classification approach competing with logistic regression in many innovation-friendly scientific fields. R...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2018
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6050737/ https://www.ncbi.nlm.nih.gov/pubmed/30016950 http://dx.doi.org/10.1186/s12859-018-2264-5 |