A new classifier based on combination of genetic programming and support vector machine in solving imbalanced classification problem
In supervised learning, class imbalanced data set is a state where the class distribution is not uniform among the classes. Many classifiers fail to properly identify pattern that belongs to minority class due to most of those classifiers are built in order to minimize error rate. Hence, a biased...
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| フォーマット: | 学位論文 |
| 言語: | English |
| 出版事項: |
2016
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| オンライン･アクセス: | http://psasir.upm.edu.my/id/eprint/69313/1/FSKTM%202016%204%20IR.pdf http://psasir.upm.edu.my/id/eprint/69313/ |
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