An empirical study on pareto based multi-objective feature selection for software defect prediction.
Chao NiXiang ChenFangfang WuYuxiang ShenQing GuPublished in: J. Syst. Softw. (2019)
Keyphrases
- multi objective
- software defect prediction
- feature selection
- feature ranking
- ensemble learning
- multi objective optimization
- imbalanced data
- multiobjective optimization
- evolutionary algorithm
- class imbalance
- optimization algorithm
- sample selection bias
- particle swarm optimization
- genetic algorithm
- objective function
- pareto optimal
- nsga ii
- feature subset selection
- classification models
- multi class
- support vector
- feature selection algorithms
- text categorization
- classification accuracy
- machine learning
- learning algorithm
- feature space
- gene selection
- support vector machine
- concept drift
- feature subset
- text classification