Fig. 1

a Performance of SVM classifiers independently trained on each sample – mean with 95% confidence interval. Each row denotes a site in the data set, whereas each column denotes a specific performance metric. b Meta-analytic (summary) receiver operating characteristic (SROC) curves. Site-level sensitivity (Sn) and specificity (Sp) are empty circles of radius proportional to sample size. The red point is the median estimate of Sn and Sp. The solid black line is the SROC curve. Dashed diagonal represents chance performance. The red ellipse is the 95% posterior credible region, and the blue dashed line is the 95% posterior predictive region. c Receiver operating characteristic (ROC) curves for the aggregate subject-level analysis. Faint gray lines are the ROC curves for individual validation folds, and blue lines represent the mean ROC curve