It is a longstanding goal of neuroimaging to produce reliable, generalizable models of brain behavior relationships. More recently, data driven predictive models have become popular. However, overfitting is a common problem with statistical models, which impedes model generalization. Cross validation (CV) is often used to estimate expected model pe...

Resample aggregating improves the generalizability of connectome predictive modeling

10.1016/j.neuroimage.2021.118044