RNA N4-acetylcytidine (ac4C) is the acetylation of cytidine at the nitrogen-4 position, which is a highly conserved RNA modification and involved in multiple biological processes. Hence, accurate identification of ac4C sites in genome-wide is vital for understanding gene expression regulation mechanism. The iRNA-ac4C is an excellent predictor which is based on gradient boosting decision tree (GBDT). We removed the redundant features by using and minimum-Redundancy-Maximum-Relevance Technology and improved the overall AUC to 0.875.