Machine Learning Based on a Multiparametric and Multiregional Radiomics Signature Predicts Radiotherapeutic Response in Patients with Glioblastoma

Figure 4

Receiver operating characteristic (ROC) curves of training (a) and validation (b) sets under different machine learning algorithms. It can be seen from the figure that the random forest algorithm performs best. KNN: -nearest neighbour; logistics: logistic regression; SVM: support vector machine; Xgboost: extreme gradient boosting; RF: random forest.

(a)

(b)