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《Anhui Agricultural Science Bulletin》 2018-11
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Application of Bias Classifier in Rural Finance in Data Classification

Pu Jingjing;College of Science,Northwest A&F University;  
According to the problem of farmers' property mortgage credit,the Bayes Network classification model was constructed which based on the investigation data related to the property mortgage in Gaoling,Lingtong and Yangling.We chosed the region,family type,level of education and other 7 factors as the independent variables,the property mortgage loan willingness as the independent variables.The analysis results show that Bayes Network classificationmodel which used ten-fold cross validation has good effect in solving these problems.Besides,the classification results provided the certain reference role in the household mortgage policy.
【Fund】: 2016年西北农林科技大学大学生创新训练项目(编号:201610712089)
【CateGory Index】: F832.35
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