Developing an Under-sampling Strategy for a Classification Model with Imbalanced Data using Cluster Analysis and GMDH
碩士 === 國立交通大學 === 工業工程與管理學系 === 99 === In real world, the class imbalanced problem exists in many of the binary classification models. The class imbalanced problem means that there is a remarkable difference between the amounts of the samples of the binary classification data. If we use the data...
| Main Authors: | , |
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2011
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| Online Access: | http://ndltd.ncl.edu.tw/handle/49227178346822573194 |