I have 60+ models (could be basic if-else rules or complex neural networks) that describe population risk. Each of the models has at least one output (often more). What is the technical term for the top-level model that summarises every risk by taking the 60+ model outputs as inputs? I don't want a name for the whole process ;)

I'm thinking 'summary' or 'integrated' model, but if there's an already existing term, that would be great.

  • 2
    $\begingroup$ ensemble would be my guess $\endgroup$ May 24, 2019 at 3:49
  • $\begingroup$ @probabilityislogic Yess perfect - thanks for that. I'll accept that if you make it an answer :) $\endgroup$
    – Josh
    May 24, 2019 at 4:30

1 Answer 1


The general term for such techniques is ensemble learning as suggested by @probabilityislogic. Specifically, if the level-1 model is also trained, it would be an example of Stacking.


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