Extreme Binary Classification: Extreme Value Theory for Extreme Constraint on False Negative
arXiv:2610.09984v1 Announce Type: new Abstract: While binary classification is one of the most extensively studied problems in machine learning, the regime in which the goal is to learn a classifier with an almost zero false negative rate remains largely unexplored. In this paper, we introduce the…
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- 2026-10-08 04:00 · arXiv stat.ML
Extreme Binary Classification: Extreme Value Theory for Extreme Constraint on False Negative