Fig. 2From: Development and head-to-head comparison of machine-learning models to identify patients requiring prostate biopsyCalibration plot of observed vs predicted rick of prostate cancer (PCa) and clinically significant prostate cancer (CSPCa) using machine-learning and logistic regression models in the validation cohort. a: PCa: Gleason score ≥ 3 + 3; b CSPCa: Gleason score ≥ 3 + 4. Abbreviations ANN artificial neural network, SVM support vector machine, CART classification and regression tree, RF random forest, LR logistic regressionBack to article page