MOESM4 of Random forest-based modelling to detect biomarkers for prostate cancer progression

Additional file 4: Figure S2. Performance of the random forest model. The plot shows the performance of the random forest model as a function of the trees built in the model, using the generalized OOB (black) and classification error for the good (red) and poor (green) prognosis groups.