Boosting for class-imbalanced datasets using genetically evolved supervised non-linear projections.
Nicolás García-PedrajasCésar Ignacio García-OsorioPublished in: Prog. Artif. Intell. (2013)
Keyphrases
- imbalanced datasets
- ensemble methods
- cost sensitive learning
- class distribution
- learning algorithm
- learning from imbalanced data
- decision trees
- imbalanced data
- cost sensitive
- rare class
- sampling methods
- class imbalance
- feature selection
- prediction accuracy
- machine learning
- minority class
- feature selection algorithms
- ensemble learning
- binary classification
- training dataset
- base classifiers
- machine learning methods
- genetic programming
- text classification
- supervised learning
- data streams
- data sets