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Modified Mahalanobis Taguchi System for Imbalance Data Classification
The Mahalanobis Taguchi System (MTS) is considered one of the most promising binary classification algorithms to handle imbalance data. Unfortunately, MTS lacks a method for determining an efficient threshold for the binary classification. In this paper, a nonlinear optimization model is formulated...
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| 出版年: | Comput Intell Neurosci |
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| 第一著者: | |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Hindawi
2017
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5546084/ https://ncbi.nlm.nih.gov/pubmed/28811820 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2017/5874896 |
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