Fig. 1: Comparing 11 machine learning algorithms for predicting csPCa defined as grade group ≥2 prostate cancer using ROC AUC values.

ROC AUC values were compared using DeLong’s method. GBM: gradient-boosting machine, DA: discriminant analysis, RBF: radial basis function, SVM: support vector machines, KNN: k-nearest neighbors.