Two Ways of Extending BRACID Rule-based Classifiers for Multi-class Imbalanced Data.
Maria NaklickaJerzy StefanowskiPublished in: LIDTA@ECML/PKDD (2021)
Keyphrases
- class imbalanced data
- feature selection
- decision trees
- svm classifier
- expert systems
- linear classifiers
- support vector
- classifier combination
- feature set
- decision boundary
- ensemble classifier
- data driven
- supervised classification
- training data
- classifier ensemble
- classifier systems
- data sets
- rule based systems
- majority voting
- classification systems
- multiple classifier systems
- classification rate
- roc curve
- ensemble learning
- classification algorithm
- test set
- machine learning algorithms
- training samples
- image classification
- supervised learning
- multi class
- training set