Fig. 5

Quality assessment of the predictive model. A The AUC for the recomposed classifier is 0.924 and significantly improved over the previous version (AUC 0.59) resulting in a sensitivity of 93.3% and a specificity of 42.85% with a corresponding positive predictive (70%) and negative predictive value of 81.8% for the given results (B). C Final assessment via correction for multiple testing with .0632 + bootstrap resampling estimates reveal a misclassification error of 35% (C1) and a bootstrap estimation for the AUC of 0.77 (C2). ROC Receiver Operating Characteristic Curve. AUC Area under the curve. λ lambda, lasso penalty value