Penalized regression models versus RGLM. The heatmap reports the median difference in accuracy between RGLM and 3 types of penalized regression models in (A) binary outcome prediction and (B) continuous outcome prediction. Each cell entry reports the paired median difference in accuracy (upper number) and the corresponding Wilcoxon signed rank test p-value (lower number). The cell color indicates the significance of the finding, where red implies that RGLM outperforms penalized regression model and green implies the opposite. The color panel on the right side shows how colors correspond to −log10(p-values). diff.Ridge =median(RGLM.accuracy −RidgeRegression.accuracy). diff.ElasticNet =median(RGLM.accuracy −ElasticNet.accuracy). diff.Lasso =median(RGLM.accuracy −Lasso.accuracy).
Song et al. BMC Bioinformatics 2013 14:5 doi:10.1186/1471-2105-14-5