Statistical methods for comparing the performance of two classification algorithms on imbalanced data sets
碩士 === 國立成功大學 === 資訊管理研究所 === 104 === The performance of classification algorithms are generally evaluated by accuracy. However, when the numbers of instances or the misclassification costs for various class values are largely different, accuracy is no longer an appropriate measure for performance e...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2016
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| Online Access: | http://ndltd.ncl.edu.tw/handle/39398602168263993420 |