Experimental results after data augmentation using ADASYN.

<p>Experimental results after data augmentation using ADASYN.</p>

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Bibliographic Details
Main Author:	GaoXiang Zhao (21499525) (author)
Other Authors:	Lu Wang (45927) (author), Xiaoqiang Wang (194829) (author)
Published:	2025
Subjects:	Biotechnology Science Policy Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified random forest algorithm focal loss function empirical evaluations conducted conventional voting method mallows &# 8217 model averaging methods model averaging single model world datasets variability inherent results highlight rare instances paper proposes notable enhancement multiple models introduce uncertainty information security industrial production expected patterns effectively mitigate deviate significantly crucial role challenges posed base models anomaly detection adequately capture
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