English(EN) The Optimal Ranking Tradeoffs Between Two Ranking Scores in Two-Class Classification

新方法优化两类分类中的排序权衡

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-19 04:00

研究人员开发了一种在两类分类任务中寻找不同排序分数之间最优权衡的方法。所提出的方法识别出一个排序分数，该分数代表了任意两个给定分数之间的最佳折衷，将弗雷歇方差相对于肯德尔距离最小化。该解析解对于先验类别相等的案例是精确的，并且已经针对不同的性能分布进行了实验研究。 AI

影响为评估和比较分类任务中的机器学习模型提供了一种改进的方法。

排序理由该条目是一篇学术论文，详细介绍了用于优化分类中排序权衡的新解析解。[lever_c_demoted from research: ic=1 ai=1.0]

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

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Newsworthiness bucket: Tool; 该条目是一篇学术论文，详细介绍了用于优化分类中排序权衡的新解析解。[lever_c_demoted from research: ic=1 ai=1.0]
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arXiv cs.LG TIER_1 English(EN) · S\'ebastien Pi\'erard, Adrien Deli\`ege, Marc Van Droogenbroeck · 2026-10-19 04:00

二分类问题中两个排序得分之间的最优排序权衡

arXiv:2610.23294v1 Announce Type: cross Abstract: The accuracy, true negative rate (negative class recall), true positive rate (positive class recall), negative predictive value (negative class precision), positive predictive value (positive class precision), class-specific inter…