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Bayes-Optimal BER and AUC: Estimation and Evaluation of Estimators

This story is from 2026-09-03. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.02304v1 Announce Type: cross Abstract: A fundamental quantity in machine learning is the optimal performance achievable by any model on a given task. Estimating this quantity allows us to distinguish the irreducible part of the error from a deficiency of the model, telling us how much ro…

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  1. 2026-09-03 04:00 · arXiv stat.ML
    Bayes-Optimal BER and AUC: Estimation and Evaluation of Estimators

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