Decision tree and artificial immune systems for stroke prediction in imbalanced data.
Laércio Ives SantosMurilo C. O. CamargosMarcos Flávio Silveira Vasconcelos D'AngeloJoão Batista MendesEgydio Emiliano Camargos de MedeirosAndré Luiz Sena GuimarãesReinaldo Martinez PalharesPublished in: Expert Syst. Appl. (2022)
Keyphrases
- imbalanced data
- artificial immune system
- decision trees
- ensemble methods
- ensemble classifier
- random forest
- prediction accuracy
- classification models
- computational intelligence
- genetic algorithm
- linear regression
- swarm intelligence
- class distribution
- machine learning
- machine learning algorithms
- naive bayes
- ensemble learning
- data sets
- class imbalance
- job shop scheduling problem
- feature selection
- sampling methods
- concept drift
- decision boundary