Additional file 3 of Machine learning-based prediction of short-term outcomes in aneurysmal subarachnoid hemorrhage: a multicenter study integrating clinical and inflammatory indicators

Additional file 3. Fig S2: Ten-fold cross-validation ROC curves in the training set. ROC curves of six machine learning models under 10-fold cross-validation: (A) RF, (B) GBM, (C) SVM, (D) LR, (E) XGBoost, and (F) NN. Each curve corresponds to one fold; the mean ROC and 95% CI are also presented, and AUC values with 95% CIs are reported.