Fig. 6From: Supervised learning methods in modeling of CD4+ T cell heterogeneityPerformance optimization of Random Forest (RF) model. The RF model was created using the randomForest package in R. To optimize the performance of the RF model, two main variables – mtry (numbers of variables randomly sampled as candidates at each split) and ntree (numbers of trees to grow) – were optimized. The RF model with 1000 trees and 4 variables randomly sampled as candidates at each split was identified to perform bestBack to article page