I have a mix of two deep models, as follows:
if model A is YES --pass to B--> if model B is YES--> result = YES if model A is NO ---> result = NO
So basically model B validates if A is saying
YES. My models are actually the same, but trained on two different feature sets of same inputs.
What is this mix called in machine learning terminology? I just call them master/slave architecture, or primary/secondary model.