When models disagree on a prediction, it often signals tricky or risky inputs...

https://readharvesty.com/s/bIYthmAEI4EPkB-BS6BfK

When models disagree on a prediction, it often signals tricky or risky inputs worth paying attention to. Measuring ensemble variance or margin helps spot these disagreements. For example, you can route the top 1-2% of high-variance cases to expert review