Figure 2
From: Elastic SCAD as a novel penalization method for SVM classification tasks in high-dimensional data
ROC plot for MAQC-II breast data set with pCR as endpoint. The characteristics for the different feature selection methods were derived using ten-fold statrifierd cross validation. TPR and FPR values are presented as points (x axis: 1- specificity = FPR, y axis. sensitivity = TPR). RFE_256 is RFE SVM with 1024 top ranked features, ENet is Elastic Net SVM, ESCAD is Elastic SCAD SVM. Gray dashed lines depict isolines of the Youden index.