Figure 4
From: Random generalized linear model: a highly accurate and interpretable ensemble predictor
Continuous outcome prediction in empirical gene expression data sets. The boxplots show the test set prediction correlation in 700 applications. P-values result from using the two-sided Wilcoxon signed rank test for evaluating whether the median accuracy of RGLM is the same as that of the mentioned method. (A) summarizes the test set performance for predicting 100 continuous gene traits from each of the 7 expression data set. (B-H) show the results for individual data sets. RGLM is superior to other methods overall.