Calibration: Why Neural Networks Are Confident and Wrong - and How to Fix Them
A classifier that says it is 90% sure should be right about 90% of the time. That sounds like a low bar, and yet most modern neural networks fail it badly. They are routinely 99% confident and wrong, or 60% confident and right almost every time. Their accuracy can be excellent while their confidenc…
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- 2026-11-14 18:15 · DEV Community — Machine Learning
Calibration: Why Neural Networks Are Confident and Wrong - and How to Fix Them