In this study, we propose a combination approach based on group decision-making method, using random forest, neural network and GBDT as individual learners, to assess credit risk of borrowers in P2P lending. To validate the proposed method, two real-world datasets from PPDai.com and renrendai.com are examined. The results show that, compared with the individual learners, the proposed method has made a better performance.