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

http://www.video-bookmark.com/user/joshuaclark05

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

Submitted on 2026-08-08 11:00:23

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