摘要
在决策树理论的指导下,通过信息增益的应用和公式的构造获取属性重要程度评价值,结合决策树的C5.0算法得到建筑企业的信用评价模型。经过对该模型进行测试和评价,取得了较好的预测效果。
Based on the theories of decision tree,this paper gets the importance assessment value among attributes by applying information gain and constructing formula. Combined with decision tree mining algorithm C5.0 algorithm, this paper gets credit evaluation model of construction companies, which has a high predictive accuracy when tested and evaluated.
出处
《石家庄铁道学院学报》
2008年第4期89-92,116,共5页
Journal of Shijiazhuang Railway Institute
关键词
决策树
信息增益
C5.0算法
信用评价
decision tree
information gain
C5.0 algorithm
credit evaluation
