An Ensemble Learning Framework for Student Academic Performance Prediction Using Hybrid Feature Selection and Hyperparameter Optimization
The need for predicting students' academic performance is increasing nowadays since it is necessary for making decisions based on data and applying intervention for academically at-risk students. The problem is that the redundancy of features and poor configuration of the models reduce the accuracy of predictions in tr...