Synthetic Minority Over-sampling TEchnique(SMOTE) for Predicting Software Build Outcomes.
Russel PearsJacqui FinlayAndy M. ConnorPublished in: CoRR (2014)
Keyphrases
- class distribution
- minority class
- imbalanced data
- class imbalanced
- class imbalance
- majority class
- software maintenance
- classification error
- software development
- software tools
- real images are presented
- software systems
- nearest neighbour
- test set
- computer systems
- support vector machine
- misclassification costs
- imbalanced datasets
- imbalanced data sets
- software developers
- decision boundary
- software design
- unlabeled data
- rare events
- software architecture
- ensemble learning