Accuracy and diversity-aware multi-objective approach for random forest construction.
Nour El Islem KarabadjiAbdelaziz Amara KorbaAli AssiHassina SeridiSabeur AridhiWajdi DhifliPublished in: Expert Syst. Appl. (2023)
Keyphrases
- random forest
- multi objective
- fold cross validation
- random forests
- decision trees
- decision tree learning algorithms
- evolutionary algorithm
- multi objective optimization
- feature set
- multi label
- ensemble methods
- feature importance
- optimization algorithm
- particle swarm optimization
- nsga ii
- error rate
- ensemble classifier
- multi objective evolutionary algorithms
- rotation forest