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Updated: Sep 18, 2025

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
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使用多策略改进的优化算法在软件缺陷预测中的功能选择

Qi Fei1,2, Guisheng Yin1, Zhian Sun2

  • 1College of Computer Science and Technology, Harbin Engineering University, Harbin, China.

PeerJ. Computer science
|June 26, 2025
PubMed
概括

本研究介绍了一种增强的优化算法 (MEPO) 和二进制版本 (BMEPO),用于有效的软件缺陷预测和功能选择. 新型异质数据堆叠集体学习算法 (HEDSE) 显著提高了缺陷检测的准确性.

关键词:
没有平衡的数据集.机器学习是机器学习.的优化优化 的优化软件缺陷预测软件缺陷预测堆叠在一起的合奏.

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