Over-sampling Algorithm Based on Adaboost in Unbalanced Data Set

To improve the classification performance of minority class,this paper combines the advantages of boosting and over-sampling,and presents an over-sampling algorithm based on MCMO-Boost of Adaboost.MCMO-Boost is compared with C4.5,Adaboost and SMOTE,and the results show that MCMO-Boost performs better than others for the classification performance of minority class and the whole data set.