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

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