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Updated: Sep 9, 2025

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
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Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

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通过设计以数据挖掘和机器学习技术为中心的替代的预测二元分类模型来评估污染风险

Aubin N'guessan1, Brice Dali1, Elvice Akori Esmel1

  • 1Fundamental Applied Physics Laboratory (FAPL), University of Abobo-Adjamé (Now Nangui ABROGOUA), Abidjan 02, Côte d'Ivoire.

Environmental science and pollution research international
|August 30, 2025
PubMed
概括

定量结构毒性关系 (QSTR) 模型快速评估化学安全性. 一个CART决策树模型有效地预测了Tetrahymena pyriformis对衍生物的毒性.

关键词:
这里是ClusOfVar形数据挖掘机器学习在 QSTR风险评估没有SMOTE替代的

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