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. 2020 Nov 13;1(8):100129. doi: 10.1016/j.patter.2020.100129

Figure 2.

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.