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English(EN) One Curve, Different Weights: AUC, the Brier Score, Decision-Weighted AUC, and the Policy Youden Index

新的AUC指标提供细致的风险评分评估

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员引入了一种新颖的指标AUC$_ ext{pi}$，旨在比传统的AUC和Brier分数提供更细致的二元风险评分评估。该新指标根据决策者采取行动的概率$\pi$对观测对进行加权，从而提供更具针对性的评估。该论文表明，AUC、Brier分数和AUC$_ ext{pi}$都源自Youden指数的加权平均值，区别在于它们如何为特定截止值分配权重。 AI

影响 引入了一种评估二元风险评分的新指标，可能改进AI应用中的模型评估。

排序理由 该集群包含一篇详细介绍新统计方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv stat.ML 阅读 →

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

新的AUC指标提供细致的风险评分评估

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该集群包含一篇详细介绍新统计方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv stat.ML TIER_1 English(EN) · Yegor Baranovski ·

    一条曲线，不同权重：AUC、Brier分数、决策加权AUC和Policy Youden指数

    arXiv:2611.14465v1 Announce Type: cross Abstract: AUC and the Brier score are standard summaries of a binary risk score, yet they can rank models differently. We introduce a weighted AUC, AUC$_\pi$, which weights each pair of observations by how differently a decision maker with …

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