Figure 2.
Two Extensions of the EV: Convergent and Divergent
Convergent validation uses multiple features sets to train multiple models. Each model is, in turn, benchmarked on a gold standard validation dataset. Divergent validation uses a single feature set to train one model followed by repeated challenging with multiple datasets.