On the public SAPData student dataset, an MLP classifier reports 79.58% average test accuracy under 10-fold cross validation, the best among six models, but with a large 20 point gap between train and test accuracy.
Mining educational data to predict student’s academic performance using ensemble methods,
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Evaluation of Machine Learning Models in Student Academic Performance Prediction
On the public SAPData student dataset, an MLP classifier reports 79.58% average test accuracy under 10-fold cross validation, the best among six models, but with a large 20 point gap between train and test accuracy.