A hybrid algorithm to improve the accuracy of support vector machines on skewed data-sets Chapter uri icon

abstract

  • Over the past few years, has been shown that generalization power of Support Vector Machines (SVM) falls dramatically on imbalanced data-sets. In this paper, we propose a new method to improve accuracy of SVM on imbalanced data-sets. To get this outcome,