Application of Ensemble Algorithm in Students' Performance Prediction

With data accumulating rapidly in education, it is possible for researchers to predict students academic performance. Among the prediction models, the machine learning model is outstanding. In this study, the model based on ensemble algorithm, AdaBoost was proposed to predict the classes of students. Experiments were carried out to compare the model to other models such as decision tree, neural network, random forests and SVM. The results showed the model presented the best prediction performance.