A Study on the Appropriateness of Repeating K-fold Cross Validation
碩士 === 國立成功大學 === 工業與資訊管理學系 === 105 === K-fold cross validation is a popular approach for evaluating the performance of classification algorithms. The variance of accuracy estimate resulting from this approach is generally relatively large for conservative inference. Several studies therefore sugges...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2017
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| Online Access: | http://ndltd.ncl.edu.tw/handle/6jc74q |