Machine Learning Predicts Military Specialized High School Trainee Selection with High Accuracy, Enhancing Defense Personnel Quality.
The study used machine learning to predict and explore the characteristics of military specialized high school trainee selection. By analyzing data from graduates of a specific school, the researchers identified key factors influencing the selection of specialized soldiers. The Random Forest algorithm showed the best performance in predicting trainee selection, with variables related to professional skills and education playing a significant role. The study suggests that enhancing specialized training and education can improve the effectiveness of military personnel management.