Multi-objective evolution of oblique decision trees for imbalanced data binary classification.
Marwa ChabbouhSlim BechikhChih-Cheng HungLamjed Ben SaidPublished in: Swarm Evol. Comput. (2019)
Keyphrases
- binary classification
- imbalanced data
- class imbalance
- ensemble methods
- support vector machine
- class distribution
- cost sensitive
- multi class
- prediction accuracy
- support vector
- active learning
- binary classifiers
- learning problems
- feature selection
- machine learning methods
- multi label
- high dimensionality
- decision trees
- random forest
- minority class
- sampling methods
- base classifiers
- random forests
- machine learning
- svm classifier
- classification models
- benchmark datasets
- evolutionary algorithm
- kernel function
- data sets
- generalization error
- classification error
- training data
- supervised learning
- genetic algorithm