Fig. 11.

Confusion matrices of site prediction using CT and FD features in the LIFESPAN meta-dataset. Each confusion matrix was normalized for the number of subjects belonging to each site. In this way, the sum of the matrix cells of each row gives 1. The confusion matrix obtained using the harmonizer within the machine learning pipeline seems similar to that obtained by harmonizing all the data with neuroHarmonize before imaging site prediction, even though the model is built on training data only and then applied to test data.