The Cascade Decision-Tree Improvement Algorithm Based on Unbalanced Data Set

摘要: In the past research, data mining that using single classifier can not obtain satisfactory results. This paper proposed an improved decision-tree classification algorithm MAdaBoost for solving customers’ chruning problem. The idea of this is cascaded structure to construct more decision tree based on AdaBoost. have a better results according experimental