Addressing Class Imbalance and Cost Sensitivity in Software Defect Prediction by Combining Domain Costs and Balancing Costs.
Michael J. SiersMd Zahidul IslamPublished in: ADMA (2016)
Keyphrases
- class imbalance
- cost sensitive learning
- software defect prediction
- cost sensitive
- misclassification costs
- class distribution
- total cost
- active learning
- sample selection bias
- ensemble learning
- imbalanced data
- high dimensionality
- generalization ability
- bayesian networks
- prediction accuracy
- training data
- multi class
- data sets
- naive bayes
- feature selection
- support vector machine
- machine learning