关键词: SVM, 分类, PSVM

Abstract: Mangasarian and Wild proposed a new classification method PSVM to handle the classification of cross-data that the traditional support vector machine couldn’t overcome，but very litter work has been done for the multi-classification using PSVM.In this paper，based on PSVM，we propose a new multi-classification method（M-PSVM），and discuss the relationship between the rate of train data and the accuracy.Experimental results on UCI show that，the classification effect of M-PSVM method is as well as C-SVM，sometimes the smaller training data is，the better performance M-PSVM has；Experimental results in the intrusion detection datasets show that，M-PSVM can effectively improve the classification accuracy of the very small classes，hence which provides a new strategy for solving unbalanced data classification，further experimental testing is ongoing.

Key words: SVM, classification, PSVM