The development of machine learning (ML) provides new means and methods for accurate climate analysis prediction. This study focuses on summer precipitation prediction using ML algorithms. Based BCC CSM1.1, ECMWF SEAS5, NCEP CFSv2, JMA CPS2 model data, we conducted a multi-model ensemble (MME) experiment three tree-based algorithms: the decision tree (DT), random forest (RF), adaptive boosting ...