Figure 3.

Machine learning model provides accurate age prediction in healthy training set. Predicted age for each healthy individual in the training set (n * 1,537) is shown, derived by running 10-fold cross-validation on the Gaussian Processes Regression model. (A) Chronological age (x-axis) is plotted against predicted age (y-axis), for gray matter (dark gray circles). (B) Chronological age and predicted age for white matter (light gray triangles). Diagonal dashed line represents the line of identity (x * y).