Parametric methods for comparing the performance of two classification algorithms evaluated by k-fold cross validation on multiple data sets

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• 作者：Tzu-Tsung Wong ^{tzutsung@mail.ncku.edu.tw}Author Vitae
• 关键词：Classification ; k-fold cross validation ; Parametric method ; Sampling distribution
• 刊名：Pattern Recognition
• 出版年：2017
• 出版时间：May 2017
• 年：2017
• 卷：65
• 期：Complete
• 页码：97-107
• 全文大小：538 K
• 卷排序：65

文摘

Parametric methods for performance comparison of two classification algorithms are proposed. Both independent and matched samples are considered. The experimental results on twelve data sets demonstrate the effectiveness of our parametric methods.