Research on the Factors Influencing the Academic Output of Outstanding Teachers Based on XGBoost

This study, based on the XGBoost regression model, explores the key factors influencing the academic output of outstanding teachers. The research selects data from 123 outstanding teachers in the Beijing-Tianjin-Hebei region and analyzes the impact of seven factors on academic output, including administrative experience, expert training, and the number of awards received. The results show that the most significant factor affecting academic output is expert training experience, accounting for 50.20%, followed by the number of awards (30.80%) and administrative experience (17.50%). The study reveals the positive impacts of training experience, academic honors, and administrative roles on teachers academic output, providing educational management departments with scientific evidence for accurate evaluation and optimization of teacher resource allocation.