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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| Format: | Article |
| Language: | English |
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Hindawi Limited
2017-01-01
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| Series: | Computational Intelligence and Neuroscience |
| Online Access: | http://dx.doi.org/10.1155/2017/5874896 |