Study of CS-GE Classification Algorithm

In data mining, the classification algorithms usually pursue more highly accuracy. It is based on the assumption that all misclassifications have the same cost. Obvious, the assumption is not suitable. By improving the encode/decode methods and taking different misclassification cost into account, this paper concerns a new cost-sensitive algorithm called CS-GE based on Gene Expression. The experimental results show that the new algorithm is effective.