Figure 4.

Multiethnic machine learning schemes. The mixture learning scheme indistinctly uses data from all subpopulations in model training. The independent learning scheme uses data from different subpopulations separately to train an independent model for each group. In the transfer learning scheme, knowledge learned from the data-rich subpopulation (source domain) is transferred to assist the learning task for the data-disadvantaged subpopulation (target domain).