An efficient use of ensemble methods to predict students academic performance.
Pooja KumariPraphula Kumar JainRajendra PamulaPublished in: RAIT (2018)
Keyphrases
- ensemble methods
- prediction accuracy
- random forests
- machine learning methods
- learning experience
- decision trees
- benchmark datasets
- ensemble learning
- base classifiers
- generalization ability
- e learning
- bootstrap sampling
- drifting concepts
- special education
- random forest
- majority voting
- higher education
- ensemble feature selection
- learning process
- classifier ensemble
- decision tree ensembles
- machine learning
- multiple models
- ensemble members
- ensemble classifier
- ensemble pruning
- learning styles
- feature selection
- neural network