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: | Po-YangYeh, 葉柏揚 |
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Other Authors: | Tzu-Tsung Wong |
Format: | Others |
Language: | zh-TW |
Published: |
2017
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Online Access: | http://ndltd.ncl.edu.tw/handle/6jc74q |
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