Using SMOTE and Heterogeneous Stacking in Ensemble learning for Software Defect Prediction.
Sara Adel El-ShorbagyWael Mohamed El-GammalWalid M. AbdelmoezPublished in: ICSIE (2018)
Keyphrases
- ensemble learning
- software defect prediction
- imbalanced data
- ensemble methods
- generalization ability
- minority class
- base classifiers
- random forest
- class distribution
- concept drift
- class imbalance
- ensemble classifier
- feature selection
- base learners
- prediction accuracy
- unlabeled data
- data sets
- data streams
- pattern recognition
- neural network