Feature selection based on artificial bee colony and gradient boosting decision tree.
Haidi RaoXianzhang ShiAhoussou Kouassi RodrigueJuanjuan FengYingchun XiaMohamed ElhosenyXiaohui YuanLichuan GuPublished in: Appl. Soft Comput. (2019)
Keyphrases
- artificial bee colony
- gradient boosting
- feature selection
- decision trees
- optimization algorithm
- artificial bee colony algorithm
- genetic algorithm ga
- single feature
- loss function
- naive bayes
- swarm intelligence
- multi objective
- differential evolution
- classification models
- multiobjective optimization
- machine learning
- feature subset
- support vector
- base learners
- combinatorial optimization
- text categorization
- feature set
- feature space
- machine learning algorithms
- job shop scheduling problem
- meta learning
- classification accuracy
- random forest
- control parameters
- support vector machine
- ensemble methods
- training set
- feature ranking
- particle swarm optimization
- ensemble learning
- knn
- multi class
- text classification
- multi task
- high dimensionality
- optimization method
- evolutionary algorithm
- tabu search
- metaheuristic
- training data