RF++ is a Random Forest-based classifier. It can classify cluster-correlated non-independent data in a statistically valid fashion. RF++ also identifies important variables (biomarkers) in datasets with large numbers of variables and few subjects.
Keywords for this software
References in zbMATH (referenced in 2 articles )
Showing results 1 to 2 of 2.
- Adler, Werner; Potapov, Sergej; Lausen, Berthold: Classification of repeated measurements data using tree-based ensemble methods (2011)
- Siroky, David S.: Navigating random forests and related advances in algorithmic modeling (2009)