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Nguyen Ba Tiến,Hoai-Nam Nguyen,Hoang-Ha Le,Tran Thu Trang,Chau Van Dinh,Ha-Nam Nguyen,Gyoo Seok Choi 한국인터넷방송통신학회 2023 International Journal of Internet, Broadcasting an Vol.15 No.2
A common approach to the problem of predicting student test scores is based on the student's previous educational history. In this study, high school transcripts of about two thousand candidates, who took the High-school Student Assessment (HSA) were collected. The data were estimated through building a regression model - Random Forest and optimizing the model's parameters based on Genetic Algorithm (GA) to predict the HSA scores. The RMSE (Root Mean Square Error) measure of the predictive models was used to evaluate the model’s performance.