Increasing the Interpretability of Rules Induced from Imbalanced Data by Using Bayesian Confirmation Measures.
Krystyna NapieralaJerzy StefanowskiIzabela SzczechPublished in: NFMCP@PKDD/ECML (2016)
Keyphrases
- imbalanced data
- class distribution
- linear regression
- class imbalance
- support vector machine
- association rules
- feature selection
- prediction accuracy
- decision rules
- ensemble methods
- sampling methods
- data sets
- classification models
- rule sets
- random forest
- classification rules
- bayesian networks
- test data
- feature space
- decision boundary
- rule extraction
- data mining