Published in Data Science and Engineering (DSE) Record 2023 Vol. 4 No. 1 pp. 153-163
Abstract
This study propose a comprehensive machine learning model for predicting the employment region choices of normal higher vocational college students. By undergoing meticulous data pre-processing, comparing diverse algorithms, and resampling methods, we developed an excellent predictive model whose F1-score can reach 0.991 ± 0.015. In addition, we also provide the application methods and scenarios of our model. As nations strive for educational equity, our findings offer a potent predictive framework to inform strategies for attracting capable graduates to rural teaching roles, thereby advancing educational parity and societal development.