 This study aims to design a computational model to identify hemagglutinin, HA, using machine learning methods and achieve an accuracy of 95.85% in the 5-fold cross-validation with an area under the receiver operating characteristic curve of 0.9863. The proposed model will provide convenience for biochemical scholars for the study of HA. This article was authored by Shidonzo, Leipingren, Peelinkai, and others.