Examining the performance of kernel methods for software defect prediction based on support vector machine.
Mohammad AzzehYousef ElsheikhAli Bou NassifLefteris AngelisPublished in: Sci. Comput. Program. (2023)
Keyphrases
- kernel methods
- software defect prediction
- support vector machine
- feature ranking
- imbalanced data
- ensemble learning
- support vector
- generalization ability
- kernel function
- learning problems
- feature selection
- kernel matrix
- multi class
- machine learning
- svm classifier
- support vector machine svm
- sample selection bias
- feature space
- class imbalance
- learning tasks
- feature vectors
- training data
- k nearest neighbor
- classification algorithm
- binary classification
- data sets
- decision boundary
- hyperplane
- class distribution
- model selection
- cost sensitive
- soft margin
- radial basis function
- prediction accuracy