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	Margin based variable importance for random forest
	Fan, Yang ; Xuan, Li ; Qifeng, Zhou ; Linkai, Luo ; Yang F(杨帆) ; Zhou QF(周绮凤) ; Luo LK(罗林开)
	2011
关键词	Bioinformatics Computer science Decision trees Education computing Gene expression
英文摘要	Conference Name:6th International Conference on Computer Science and Education, ICCSE 2011. Conference Address: Singapore, Singapore. Time:August 3, 2011 - August 5, 2011.; Random forest variable importance measure (RF-VIM) has been widely used in many applications such as bioinformatics. The permutation based VIM accesses the variable importance with changes of the OOB accuracy caused by random permutation. In this paper a margin based variable importance measure was proposed, which use the changes in the margin distribution of training samples caused by random permutation to assess the importance of features. Experiments on gene expression data show that the method outperforms both the original RF-VIM and the Gini importance on some datasets. ? 2011 IEEE.
语种	英语
出处	http://dx.doi.org/10.1109/ICCSE.2011.6028885
出版者	IEEE Computer Society
内容类型	其他
源URL	[http://dspace.xmu.edu.cn/handle/2288/87053]
专题	信息技术－会议论文
推荐引用方式 GB/T 7714	Fan, Yang,Xuan, Li,Qifeng, Zhou,et al. Margin based variable importance for random forest. 2011-01-01.

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