Root mean squared error (RMSE), <i>R</i>² and corresponding standard deviation (<i>R</i>²SD) of the regression analysis (random forest model) for prediction classification errors of RF, SVM, LDA and KNN on the synthetic dataset.

Metrics were calculated on the training dataset for a different number of predictors (mtry) using 10-fold cross-validation.