Classification on Imbalanced Data Sets, Taking Advantage of Errors to Improve Performance.
Asdrúbal López ChauFarid García-LamontJair CervantesPublished in: ICIC (3) (2015)
Keyphrases
- imbalanced data sets
- class distribution
- pattern classification
- decision trees
- imbalanced data
- class imbalance
- machine learning
- feature extraction
- classification accuracy
- benchmark data sets
- support vector
- feature vectors
- classification algorithm
- rare events
- roc curve
- support vector machine svm
- supervised learning
- support vector machine
- training data
- machine learning methods
- machine learning algorithms
- linear regression
- generalization ability
- feature space
- data generation
- feature selection