Web: http://arxiv.org/abs/2206.01131

Sept. 23, 2022, 1:12 a.m. | Jamelle Watson-Daniels, David C. Parkes, Berk Ustun

cs.LG updates on arXiv.org arxiv.org

There may exist multiple models that perform almost equally well for any
given prediction task. We examine how predictions change across these competing
models. In particular, we study predictive multiplicity -- in probabilistic
classification. We formally define measures for our setting and develop
optimization-based methods to compute these measures for convex empirical risk
minimization problems. We apply our methodology to gain insight into why
predictive multiplicity arises. We demonstrate the incidence and prevalence of
predictive multiplicity in real-world risk assessment …

arxiv classification predictive

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