MAHAKIL: Diversity Based Oversampling Approach to Alleviate the Class Imbalance Issue in Software Defect Prediction.
Kwabena Ebo BenninJacky KeungPassakorn PhannachittaAkito MondenSolomon MensahPublished in: IEEE Trans. Software Eng. (2018)
Keyphrases
- class imbalance
- software defect prediction
- class distribution
- active learning
- cost sensitive
- sampling methods
- high dimensionality
- imbalanced data
- cost sensitive learning
- feature selection
- concept drift
- minority class
- ensemble learning
- misclassification costs
- machine learning
- training set
- feature space
- learning algorithm