Kernel Based Simple Regularized Multiple Criteria Linear Programs for Binary Classification

Binary classification is the simplest case for classification problem. In this paper, we proposed a new kernel based regularized multiple criteria linear programs for binary classification. Modeling capability of original regularized model were improved by introducing nonlinear kernel, which made the model could identify nonlinear patterns in data. Experiments result showed our model is comparable with classical binary classifiers and suitable for real world application.