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	Large Unbalanced Credit Scoring Using Lasso-Logistic Regression Ensemble
	Wang, Hong; Xu, Qingsong; Zhou, Lifeng*
刊名	PLOS ONE
	2015
卷号	10期号:2页码:e0117844
关键词	Machine learning algorithms,Algorithms,Decision tree learning,Machine learning,Support vector machines,Neural networks,Finance,Test statistics
ISSN号	1932-6203
DOI	10.1371/journal.pone.0117844
URL标识	查看原文
WOS记录号	WOS:000350662100124
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/3337011
专题	中南大学
作者单位	1.[Xu, Qingsong 2.Zhou, Lifeng 3.Wang, Hong] Cent S Univ, Sch Math & Stat, Changsha, Hunan, Peoples R China.
推荐引用方式 GB/T 7714	Wang, Hong,Xu, Qingsong,Zhou, Lifeng*. Large Unbalanced Credit Scoring Using Lasso-Logistic Regression Ensemble[J]. PLOS ONE,2015,10(2):e0117844.
APA	Wang, Hong,Xu, Qingsong,&Zhou, Lifeng*.(2015).Large Unbalanced Credit Scoring Using Lasso-Logistic Regression Ensemble.PLOS ONE,10(2),e0117844.
MLA	Wang, Hong,et al."Large Unbalanced Credit Scoring Using Lasso-Logistic Regression Ensemble".PLOS ONE 10.2(2015):e0117844.

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