首页> 外文会议>International Symposium on Information Technologies and Applications in Education >A Research on the Application of Simple Naive Bayesian Classifier on Personal Credit Evaluation
【24h】

A Research on the Application of Simple Naive Bayesian Classifier on Personal Credit Evaluation

机译:简单幼稚贝叶斯分类器在个人信用评估中的应用研究

获取原文

摘要

According to the specific advantages of Simple Naive Bayesian Classifier (SNBC) on classification problems, we adopted the combination of SNBC and Rough Set Theory to build personal credit evaluation model. Experiment was done on German Credit Database and showed that the model has a good prediction performance and has real world value upon application.
机译:根据简单的朴素贝叶斯分类器(SNBC)对分类问题的具体优势,我们采用了SNBC和粗糙集理论的组合来构建个人信用评估模型。实验在德国信用数据库上完成,并表明该模型具有良好的预测性能,并且在申请时具有真实的世界价值。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号