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Updated: Jun 16, 2025

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
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一种基于k-means和SVM算法的混合方法,用于为各个行业选择适当的风险评估方法

Fatih Topaloglu1

  • 1Computer Engineering/Faculty of Engineering, Malatya Turgut Ozal University, Malatya, Turkey.

PeerJ. Computer science
|August 15, 2024
PubMed
概括

本研究介绍了一种混合机器学习方法,用于为不同的工作环境选择最佳风险评估方法 (RAM). 这种新的方法实现了96.63%的准确性,改善了工作场所安全选择流程.

关键词:
K-意味着K的意思是K.机器学习是机器学习.风险分析 风险分析风险评估方法 风险评估方法支持矢量机器的支持矢量机器.

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