Figure 2.

ROCs for EPLR model. (A) ROC curves for 51-factor and 72-factor EPLR models. ROC curves show performance of the 72-factor-EPLR model using both the internal validation set (green) and external validation set (yellow). ROC curves show performance of the 51-factor-EPLR model using both the internal validation set (red) and external validation set (blue). The AUC was improved in absolute terms by 4.5% and 8.5% using the 72-factor-EPLR model compared with the 51-factor-EPLR model in the internal and external validation sets, respectively. (B) ROC curves showing performance of the EPLR model using both the internal validation set (green) and external validation set (yellow). ROC curves showing performance of the BCRAM using both the internal validation set (green) and external validation set (blue). The AUC was improved in absolute terms by 10.9% and 6.8% using the EPLR model compared with the BCRAM in the internal and external validation sets, respectively. *Indicates the external validation set. AUC: Area under the receiver operating characteristic curve. EPLR: Ensemble penalized logistic regression; ROC: Receiver operating characteristic.