In this context, we believe that the performance of RF should be systematically investigated in a large-scale benchmarking experiment and compared to the current standard: logistic regression (LR). We make the—admittedly somewhat controversial—choice to consider the standard version of RF only with default parameters — as implemented in the widely used R package randomForest [3] version 4.6-12 — and logistic regression only as the standard approach which is very often used for low dimensional binary classification.
