Cải thiện kết quả dự đoán điểm thi của sinh viên bằng Máy học với sự hỗ trợ của R

Tóm tắt

Predicting final exam scores of students is important to forecast student accomplishment in the learning process and functioned to help the students who might fail. This paper presents a method that based on machine learning techniques to enhance prediction results by handling the imbalanced data issues. The experimental results achieves the highest performance with 43.70% of Precision, 45.1% of Recall and 44.04% of F1.