Fig. 4
From: Evaluation of tree-based statistical learning methods for constructing genetic risk scores
Mean AUC for random forests, random forests VIM, logic regression, logic bagging, elastic net, and the true underlying model in the second simulation scenario incorporating interactions of SNPs evaluated on the test data. The Designs 2.1, 2.2, and 2.3 describe the scenarios where both interacting SNPs also exhibit marginal effects, only one of both SNPs shows a marginal signal or none of them induce a main effect, i.e., (j, k) = (1, 2), (1, 4), or (4, 5) in Eq. (3), respectively