Comparison of ensemble hybrid sampling with bagging and boosting machine learning approach for imbalanced data

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Comparison of ensemble hybrid sampling with bagging and boosting machine learning approach for imbalanced data

Training an imbalanced dataset can cause classifiers to overfit the majority class and increase the possibility of information loss for the minority class. Moreover, accuracy may not give a clear picture of the classifier’s performance. This paper utilized decision tree (DT), support vector machine...

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Bibliographic Details
Published in:	Indonesian Journal of Electrical Engineering and Computer Science
Main Author:	Malek N.H.A.; Yaacob W.F.W.; Wah Y.B.; Md Nasir S.A.; Shaadan N.; Indratno S.W.
Format:	Article
Language:	English
Published:	Institute of Advanced Engineering and Science 2023
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85142097924&doi=10.11591%2fijeecs.v29.i1.pp598-608&partnerID=40&md5=61804174165e22ee4efed7401972f189

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