Fig. 3.

Model building and evaluation using the selected rCBV features (160 features). a, b ROC curve depicts the predictive model building using C5.0 (P-value 1.512e−11) and SVM methods (P-value 0.012) respectively. c, d 10-fold cross-validation ROC curve (P-value 1.512e−11) and Leave-One-Out Cross-Validation (LOOCV) ROC curve (P-value 0.012) depicts the performance of the model