Skip to main content
Fig. 2 | Radiation Oncology

Fig. 2

From: Development and validation of a model for temporal lobe necrosis for nasopharyngeal carcinoma patients with intensity modulated radiation therapy

Fig. 2

Feature selection using the least absolute shrinkage and selection operator (LASSO) binary logistic regression model. Tuning parameter (λ) selection in LASSO used 10-fold cross-validation via minimum criteria. The area under the receiver operating characteristic (AUC) was plotted versus log(λ). The red dot lines were draw at the optimal values by using minimum criteria. The best AUC is 0.6787 with standard deviation 0.05

Back to article page