In this paper, we present a description of our research in the field of data mining. We describe a two level hybrid evolutionary approach for classification rule extraction. Our method is a mix of two classic approaches called respectively Michigan and Pittsburg approaches. The goal is to take advantage of both approaches while minimising their drawbacks. The result has been compared favourably to classical approaches.