ENSEMBLE RESAMPLING SUPPORT VECTOR MACHINE, MULTINOMIAL REGRESSION TO MULTICLASS IMBALANCED DATA

ENSEMBLE RESAMPLING SUPPORT VECTOR MACHINE, MULTINOMIAL REGRESSION TO MULTICLASS IMBALANCED DATA

Imbalanced data is a commonly encountered issue in classification analysis. This issue gives rise to prediction errors in the classification process, which in turn affects the sensitivity, particularly in the minority class. Resampling techniques can be employed as a means to mitigate the issue of I...

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Bibliographic Details
Main Authors: Laila Qadrini, Hikmah Hikmah, Elviani Tande, Ignasius Presda, Aulia Atika Maghfirah, Nilawati Nilawati, Handayani Handayani
Format: Article
Language:English
Published: Universitas Pattimura 2024-03-01
Series:Barekeng
Subjects:
bagging
adasyn
svm
multinomial regression
Online Access:https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/10285
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https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/10285

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