Improving Academic Performance Prediction by Dealing with Class Imbalance.
Nguyen Thai-NgheAndré BuscheLars Schmidt-ThiemePublished in: ISDA (2009)
Keyphrases
- class imbalance
- class distribution
- active learning
- prediction accuracy
- cost sensitive
- cost sensitive learning
- random subspaces
- imbalanced datasets
- sampling methods
- high dimensionality
- concept drift
- small disjuncts
- neural network
- majority class
- training set
- supervised learning
- minority class
- feature selection
- software defect prediction
- text classification
- semi supervised
- multi class
- support vector machine
- pairwise
- face recognition
- learning algorithm