Fig. 3From: Supervised learning methods in modeling of CD4+ T cell heterogeneityRandom Forest Algorithm. Random Forest method is based on the aggregation of a large number of decision trees. Specifically, it is an ensemble of trees constructed from a training dataset and internally validated to yield a prediction of the response given the predictors for future observationsBack to article page