Multiple Classifier Prediction Improvements against Imbalanced Datasets through Added Synthetic Examples.
Herna L. ViktorHongyu GuoPublished in: SSPR/SPR (2004)
Keyphrases
- imbalanced datasets
- cost sensitive learning
- training examples
- decision trees
- training data
- feature selection
- prediction accuracy
- learning from imbalanced data
- linear classifiers
- class imbalance
- class distribution
- class labels
- support vector machine
- cost sensitive
- feature selection algorithms
- training dataset
- model selection
- ensemble classifier
- imbalanced data
- classification accuracy
- learning algorithm