Study of selective ensemble algorithm based on classification problems
基于分类问题的选择性集成学习研究*

This paper introduced a new ensemble algorithm,SEC-AdaBoostBagging Trees ensemble algorithm,which was a combination of tree classifiers and was based on variational similarity cluster technology and greedy method,and it was also combined with the features of AdaBoost.M1 and Bagging. Compared with a series of other learning algorithms,it often has better generalization ability and higher efficiency.