The mechanisms underlying the interaction of miRNAs with their mRNA targets are quite complex,which makes miRNA target prediction be a hot issue in the field of miRNA research.The features of miRNA-target sites pairing sequences were proposed based on the CLASH dataset,and the random forest models were applied for modeling.The average values of Acc,Sen,Spe,Pre and Mcc are 90.05%，89.47%，90.56%，90.43% and 0.799 8,respectively,and the AUC of ROC and PRC are 0.954 and 0.958,respectively.The results indicated that the current method shows a better performance compared with the existed methods, and the features newly constructed have a very significant impact on the identification of miRNA target genes.