SVGPM: evolving SVM decision function by using genetic programming to solve imbalanced classification problem
In supervised learning, imbalanced class dataset is a state where the class distribution is not uniform among the classes. Most standard classifiers fail to properly identify pattern that belongs to minority class because most of those classifiers are built to minimize the error rate. As a result, a...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English English English |
| Published: |
Springer Nature
2022
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/115974/1/115974_SVGPM%20evolving%20SVM%20decision.pdf http://irep.iium.edu.my/115974/7/115974_SVGPM%20evolving%20SVM%20decision_SCOPUS.pdf http://irep.iium.edu.my/115974/8/115974_SVGPM%20evolving%20SVM%20decision_WOS.pdf http://irep.iium.edu.my/115974/ https://link.springer.com/article/10.1007/s13748-021-00260-4 |
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http://irep.iium.edu.my/115974/1/115974_SVGPM%20evolving%20SVM%20decision.pdfhttp://irep.iium.edu.my/115974/7/115974_SVGPM%20evolving%20SVM%20decision_SCOPUS.pdf
http://irep.iium.edu.my/115974/8/115974_SVGPM%20evolving%20SVM%20decision_WOS.pdf
http://irep.iium.edu.my/115974/
https://link.springer.com/article/10.1007/s13748-021-00260-4