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Updated: Jan 11, 2026

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预测性能指标的行为与罕见事件的行为

Emily Minus1, R Yates Coley2, Susan M Shortreed3

  • 1Department of Biostatistics, University of Washington, Seattle, WA, USA.

Journal of clinical epidemiology
|November 12, 2025
PubMed
概括

接收器运行特征曲线 (AUC) 下的面积对于罕见事件是可靠的,如果至少有1000个事件. 这一发现对于在大型医疗保健数据集中评估自杀风险预测模型至关重要.

关键词:
接收器运行特征曲线下的区域.分类 分类 分类 分类.机器学习是机器学习.模型评价模型评价预测 预测 预测这是一个罕见的结果.

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