New Ordering-Based Pruning Metrics for Ensembles of Classifiers in Imbalanced Datasets.
Mikel GalarAlberto FernándezEdurne BarrenecheaHumberto BustinceFrancisco HerreraPublished in: CORES (2015)
Keyphrases
- imbalanced datasets
- imbalanced data
- ensemble methods
- decision trees
- ensemble learning
- ensemble classifier
- minority class
- class distribution
- machine learning methods
- classification models
- feature selection algorithms
- sampling methods
- class imbalance
- linear regression
- naive bayes
- svm classifier
- base classifiers
- support vector machine
- random forests
- training set
- base learners
- random forest
- prediction accuracy
- cost sensitive learning
- support vector
- benchmark datasets
- training data
- generalization ability
- decision boundary
- feature selection
- training samples
- learning algorithm
- high dimensionality