Multi-split Optimized Bagging Ensemble Model Selection for Multi-class Educational Data Mining.
MohammadNoor InjadatAbdallah MoubayedAli Bou NassifAbdallah ShamiPublished in: CoRR (2020)
Keyphrases
- multi class
- model selection
- base classifiers
- educational data mining
- meta learning
- ensemble learning
- feature selection
- learning analytics
- ensemble methods
- cross validation
- generalization error
- random forest
- binary classification
- support vector machine
- hyperparameters
- random forests
- machine learning
- multi class classification
- regression model
- pairwise
- statistical learning
- cost sensitive
- student modeling
- base learners
- learning machines
- sample size
- linear classifiers
- binary classifiers
- decision trees
- bayesian methods
- boosting algorithms
- majority voting
- binary classification problems
- support vector
- generalization ability
- bayesian information criterion
- information criterion