厦门大学学报（自然科学版）2017，Vol.56Issue(2)：231-236,6.DOI:10.6043/j.issn.0438-0479.201604043
一种新的多分类代价敏感算法
A New Multi-class Cost-sensitive Algorithm
摘要
Abstract
Cost-sensitive classification is an important research topic in the classification problem.In order to improve the accuracy of MetaCost,which serves as a cost-sensitive classification algorithm,and reduce its misclassification cost,we propose a new cost-sensitive algorithm,called D-MetaCost,for multi-class problems.In D-MetaCost algorithm,we can calculate the accuracy of multiple models generated in the beginning of MetaCost algorithm,and select first few base classifiers with higher accuracy,then integrate them together with the new model of the last stage to obtainthe final classification model.Experimental results show that the proposed algorithm enjoys obvious improvements in accuracy and cost in comparison with the classical MetaCost algorithm.关键词
分类代价/代价敏感/集成学习/MetaCost/D-MetaCostKey words
classification cost/cost-sensitive/ensemble learning/MetaCost/D-MetaCost分类
信息技术与安全科学引用本文复制引用
邓少军,冯少荣,林子雨..一种新的多分类代价敏感算法[J].厦门大学学报（自然科学版）,2017,56(2):231-236,6.基金项目
国家自然科学基金(61303004) （61303004）
国家社会科学基金重大项目(13ZD148) （13ZD148）
