The impact of stratification on the performance of classification algorithms evaluated by k-fold cross validation
碩士 === 國立成功大學 === 資訊管理研究所 === 105 === K-fold cross validation is one of accuracy estimation methods used by many types of experimental research. Stratification method, however, is seldom performed in order to get more representative data in each partition. Stratification has the advantage of reducin...
| 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/xkvvzs |