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Updated: May 17, 2025

An R-Based Landscape Validation of a Competing Risk Model
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An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

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机器学习模型的外部验证 - 注册模型和自适应样本分割

Giuseppe Gallitto1,2, Robert Englert1,3, Balint Kincses1,2

  • 1Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Medicine Essen, Hufelandstraße 55, 45147, Essen, Germany.

GigaScience
|May 14, 2025
PubMed
概括

将模型发现与外部验证与公开披露分开,提高了可信度. 一种新的自适应分割方法优化了这种平衡,最大限度地提高了预测性能,而不会冒着不确定的验证风险.

关键词:
适应性分离方式 适应性分离方式通过外部验证.机器学习是机器学习.预测建模预测建模预注册 预注册 预注册 预注册

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