Training and assessing classification rules with imbalanced data.
Giovanna MenardiNicola TorelliPublished in: Data Min. Knowl. Discov. (2014)
Keyphrases
- classification rules
- imbalanced data
- decision trees
- genetic programming
- rule sets
- class distribution
- association rules
- nearest neighbor
- classification algorithm
- training set
- random forest
- ensemble methods
- feature selection
- rule extraction
- training process
- linear regression
- test set
- support vector machine
- svm classifier
- training samples
- pattern recognition
- fuzzy rules
- ensemble learning
- training examples
- class imbalance
- feature set