In this paper, we evaluate estimation methods of software development cost overrun in an early development phase. To discriminate cost overrun projects, we used collaborative filtering technique whose predictor variables are the evaluation values of risk factors which influence the excess of cost. Data of 45 projects were used in an evaluation experiment. The result showed that precision and recall of user-based collaborative filtering was higher than liner discriminant analysis.