Learning from Imbalanced Data Using an Evidential Undersampling-Based Ensemble.
Fares GrinaZied ElouediEric LefevrePublished in: SUM (2022)
Keyphrases
- learning from imbalanced data
- imbalanced data
- random forest
- class imbalance
- imbalanced datasets
- ensemble methods
- class distribution
- ensemble learning
- random forests
- sampling methods
- feature selection
- minority class
- classification models
- linear regression
- feature set
- ensemble classifier
- cost sensitive learning
- decision trees
- cost sensitive
- neural network
- support vector machine
- concept drift
- classification accuracy
- active learning
- bayesian networks
- machine learning
- high dimensionality
- data distribution
- naive bayes
- support vector machine svm
- least squares
- training set