A Comparative Study on the Assessment of Personal Credit in Uncertain Environments

Qi Ruihua, Yang Deli, Hu Runbo
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Abstract

In this paper, we evaluated and contrasted several classifiers for credit scoring in the mobile environment. Taking into account the features of mobile environment, the classification performance is assessed by the precision and the area under Roc curve. Naive Credal Classifier is also introduced to deal with incomplete credit datasets in the mobile environment.
不确定环境下个人信用评估的比较研究
在本文中,我们评估和比较了几种分类器的信用评分在移动环境。考虑到移动环境的特点,通过精度和Roc曲线下面积来评价分类性能。引入朴素信用分类器来处理移动环境下的不完全信用数据集。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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