Support vector machine for solving imbalanced dataset problem
Most of machine learning classifiers such as Neural Network (NN), Naïve Bayes, and Decision Tree Method C4.5 are failed to classify the data when it deals with imbalanced data set. This is because; most of classifiers are biased to the majority class, tend to ignore minority class and treat the mino...
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主要作者: | Mohd. Khairuddin, Ismail |
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格式: | Thesis |
語言: | English |
出版: |
2012
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主題: | |
在線閱讀: | http://eprints.utm.my/id/eprint/32546/1/IsmailMohdKhairuddinMFKE2012.pdf |
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