基于REAHCOR特征选择和GBDT的贫困等级评价模型

Poverty Rating Model Based on REAHCOR Feature Selection and GBDT

2013年11月习近平总书记到湖南湘西考察时首次提出了“精准扶贫”重要思想.要想实现精准扶贫中的“精准”要求,就需要精准识别贫困户.为了政府精准扶贫工作的有效进行,本文通过分析收集的家庭信息数据,综合考虑到以多维贫困为依据的信息数据含有离散型和连续型数值,并且该系列的特征数据具有层次性的特点,构建了基于REAHCOR新型特征选择算法与GBDT分类算法结合的模型.把该模型应用到贫困分级评价系统中,取得了不错效果.

In November 2013,General Secretary Xi Jinping first proposed the important idea of“precise poverty alleviation”when he visited West Hunan.In order to achieve the“precision”requirements,it is necessary to accurately identify poor households.For the convenience of the government to the precise poverty alleviation work effectively,this study analyzes the collected family information data and comprehensively considers that the information data based on multidimensional poverty contains discrete and continuous numerical values.And the characteristic data of the series has hierarchical characteristics.A model based on the new feature selection algorithm of REAHCOR and GBDT classification algorithm is constructed.The model is applied to the poverty rating evaluation system and has achieved sound results.