Abstract: This paper analyzes myopia examination data at home and abroad. Statistics show that the incidence of myopia in Chinese adolescents far exceeds the international adolescents. 8 to 12 years old is a period when the number of myopia is increasing rapidly. About 20% of non-myopia students turn into myopia students every year in this period. The age of 10 to 14 is a dangerous period of suffering from high myopia. Time for outdoor activities and parents’ myopia have the greatest impact on the occurrence of myopia, higher than that of the time spent on computer and the time spent on watching TV. This paper uses five ensemble learning methods to predict people’s future vision. Considering the robustness and accuracy, the random forest model has the best prediction effect. The prediction accuracy of myopia is 92.8% in the case of 70% training set and 30% test set.