Extreme Binary Classification: Extreme Value Theory for Extreme Constraint on False Negative

arXiv:2610.09984 · stat.ML, cs.LG, stat.AP, stat.ME · Submitted 2026-10-07 · Read on arXiv

stat.ML, cs.LG, stat.AP, stat.ME

Submitted: 2026-10-07

Updated: 2026-10-07

Terminology

• Extreme Value Theory — 20× in this paper
• Benchmark — 8× in this paper · explained in 2 episodes
• Adaptation — 6× in this paper · explained in 1 episode
• Feature Selection — 6× in this paper · explained in 4 episodes
• Interpretability — 6× in this paper · explained in 15 episodes
• Data Augmentation — 5× in this paper · explained in 7 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Ensemble Approach — 2× in this paper · explained in 3 episodes
• Uncertainty Quantification — 2× in this paper · explained in 8 episodes
• AUC — 1× in this paper · explained in 2 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Conformal Prediction — 1× in this paper · explained in 5 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Illustration of the Generalized Extreme Value — 1× in this paper
• Multimodal Dataset — 1× in this paper · explained in 2 episodes
• Naive Threshold Adaptation — 1× in this paper
• Robustness — 1× in this paper · explained in 5 episodes
• Support Vector Classifier — 1× in this paper

Sources

• A general estimator for the right endpoint - with an application to supercentenarian women's records
• MAPIE: an open-source library for distribution-free uncertainty quantification

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