Ensemble meta classifier with sampling and feature selection for data with multiclass imbalance problem

Ensemble learning by combining several single classifiers or another ensemble classifier is one of the procedures to solve the imbalance problem in multiclass data. However, this approach still faces the question of how the ensemble methods obtain their higher performance. In this paper, an investig...

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Bibliographic Details
Main Authors: Mohd Shamrie Sainin, Rayner Alfred, Faudziah Ahmad
Format: Article
Language:English
English
Published: Universiti Utara Malaysia 2021
Subjects:
Online Access:https://eprints.ums.edu.my/id/eprint/29977/1/Ensemble%20meta%20classifier%20with%20sampling%20and%20feature%20selection%20for%20data%20with%20multiclass%20imbalance%20problem-Abstract.pdf
https://eprints.ums.edu.my/id/eprint/29977/2/Ensemble%20meta%20classifier%20with%20sampling%20and%20feature%20selection%20for%20data%20with%20multiclass%20imbalance%20problem.pdf
https://eprints.ums.edu.my/id/eprint/29977/
http://jict.uum.edu.my/images/Vol20No2April2021/103-133.pdf
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Institution: Universiti Malaysia Sabah
Language: English
English