The Impact of Cross-Validation Methods on the Performance Estimates of Classification Algorithms
碩士 === 國立成功大學 === 資訊管理研究所 === 106 === Cross validation is a popular approach for evaluating the performance of classification algorithms. The variance of the accuracy estimate resulting from k-fold cross validation is generally relatively large, and several evaluated methods are therefore developed...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2018
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| Online Access: | http://ndltd.ncl.edu.tw/handle/uj4ny9 |