AI RESEARCH
Post-Selection Distributional Model Evaluation
arXiv CS.LG
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ArXi:2603.23055v1 Announce Type: cross Formal model evaluation methods typically certify that a model satisfies a prescribed target key performance indicator (KPI) level. However, in many applications, the relevant target KPI level may not be known a priori, and the user may instead wish to compare candidate models by analyzing the full trade-offs between performance and reliability achievable at test time by the models.