An Empirical Study for Software Fault-Proneness Prediction with Ensemble Learning Models on Imbalanced Data Sets.
Renqing LiShihai WangPublished in: J. Softw. (2014)
Keyphrases
- learning models
- imbalanced data sets
- imbalanced data
- learning algorithm
- prediction accuracy
- classification models
- loss function
- machine learning
- machine learning algorithms
- semi supervised learning
- ensemble methods
- ensemble classifier
- conditional random fields
- learning tasks
- learning problems
- neural network
- ensemble learning
- class imbalance
- high dimensional
- random forest
- decision trees
- class labels
- class distribution
- probabilistic model
- cost sensitive learning
- information retrieval
- rare events
- k nearest neighbor