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English(EN) When Are Scoring Rules Proper? Bridging Theory and Practice in Survival Model Evaluation

新研究质疑生存模型评估方法

作者 PulseAugur 编辑部 · [1 个来源] ·

一篇新发表在arXiv上的论文探讨了评分规则在生存模型评估中的恰当性，特别是在删失情况下的评估。由Raphael Sonabend领导的研究引入了边际恰当性的概念，并证明了像SBS和ISBS这样常用的规则在有限随访或治愈比例下可能变得不恰当。该研究强调了这些理论问题可能导致模型之间产生误导性比较，并强调了在生存分析中改进评估方法的必要性。 AI

影响 强调了在生存分析中评估AI模型时潜在的缺陷，影响了模型比较的可靠性。

排序理由 关于模型评估统计理论的学术论文。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.LG 阅读 →

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

新研究质疑生存模型评估方法

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关于模型评估统计理论的学术论文。[lever_c_demoted from research: ic=1 ai=0.7]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · John Zobolas, Raphael Sonabend, Riccardo De Bin, Johannes Piller, Philipp Kopper, Lukas Burk, Andreas Bender ·

    评分规则何时恰当？连接生存模型评估的理论与实践

    arXiv:2212.05260v4 Announce Type: replace-cross Abstract: Proper scoring rules encourage probabilistic predictions that match the true underlying distribution and are central to model evaluation, with increasing relevance in automated workflows such as AutoML. In survival analysi…

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