Figure 3From: Elastic SCAD as a novel penalization method for SVM classification tasks in high-dimensional dataROC plot for MAQC-II breast data set with ER as endpoint. The characteristics for the different feature selection methods were derived using ten-fold stratified 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.Back to article page