An Empirical Study of Robustness and Stability of Machine Learning Classifiers in Software Defect Prediction.
Arvinder KaurKamaldeep KaurPublished in: ISI (1) (2014)
Keyphrases
- software defect prediction
- feature ranking
- machine learning
- ensemble learning
- feature selection
- imbalanced data
- machine learning algorithms
- decision trees
- machine learning methods
- random forest
- support vector machine
- support vector
- learning algorithm
- class imbalance
- text classification
- feature set
- ensemble methods
- training data
- fold cross validation
- ensemble classifier
- training set
- high dimensionality
- active learning
- semi supervised learning
- labeled training data
- generalization ability
- classification models
- feature subset
- learning tasks
- svm classifier
- training samples
- high dimensional
- text mining
- linear classifiers
- logistic regression
- feature space
- text categorization
- feature extraction