Several R packages are used to implement the benchmarking study: mlr (version 2.10) for higher abstraction and a simpler way to conduct benchmark studies [32], OpenML (version 1.2) for loading the datasets [33], and batchtools (version 0.9.2) for parallel computing [34]. Note that the LR and RF learners called via mlr are wrappers on the functions glm and randomForest, respectively.
