摘要
文章利用加权组合、领域搜索等方法创新分箱,应用于标准评分卡建模流程形成新旧模型评价对比。结果发现:基于局部最优思想的分箱提升了模型局部效用,同时为该方法在其他建模中的应用奠定了基础,也为统计方法的优化提供新的发展方向。
This paper uses the weighted combination,domain search and other methods to create sub-box for an evaluation comparison between the new and the old models in the modeling process of standard scorecard.The results show that the sub-box based on the idea of local optimization improves the local utility of the model,and lays a foundation for the application of this method in other modeling,and also provides a new development direction for the optimization of statistical methods.
作者
夏晨琦
Xia Chenqi(Beijing Zhongguancun Ronghui Financial Information Service Co.,Ltd.,Beijing 100089,China)
出处
《统计与决策》
CSSCI
北大核心
2019年第7期63-67,共5页
Statistics & Decision
关键词
局部最优
评分卡
分箱
预测能力
local optimization
scorecard
sub-box
prediction ability