R package Rborist: Extensible, Parallelizable Implementation of the Random Forest Algorithm. Scalable decision tree training and prediction.
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References in zbMATH (referenced in 4 articles )
Showing results 1 to 4 of 4.
- Arkajyoti Saha, Sumanta Basu, Abhirup Datta: RandomForestsGLS: An R package for Random Forests for dependent data (2022) not zbMATH
- Berk, Richard A.: Statistical learning from a regression perspective (2020)
- Genuer, Robin; Poggi, Jean-Michel: Random forests with R (2020)
- He Zhao and Graham Williams and Joshua Huang: wsrf: An R Package for Classification with Scalable Weighted Subspace Random Forests (2017) not zbMATH