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When models disagree on predictions, it’s a strong sign that an input might be...

https://seo.edu.rs/blog/counterfactual-augmentation-for-disputed-inputs-how-does-it-work-11189

When models disagree on predictions, it’s a strong sign that an input might be risky or unusual. Metrics like entropy or ensemble variance help measure this uncertainty

Submitted on 2026-08-08 11:03:23

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