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Updated: Jul 1, 2025

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
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在多种物种分布模型中对分类过程中的模拟异质性进行建模可以提高预测性能的性能

Kwaku Peprah Adjei1,2,3, Anders Gravbrøt Finstad2,4, Wouter Koch2,5

  • 1Department of Mathematical Sciences Norwegian University of Science and Technology Trondheim Norway.

Ecology and evolution
|March 8, 2024
PubMed
概括

这项研究引入了一种新的模型,通过计算生物多样性数据中不同错误分类概率来改进物种分布映射. 这提高了保护工作的预测准确度.

关键词:
贝叶斯模型是贝叶斯模型.公民科学是公民科学.有错误的阳性结果.机器学习是机器学习.这是错误的分类错误.多种多种的分布模型.

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