Cluster-based sampling of multiclass imbalanced data.
Wanthanee PrachuabsupakijNuanwan SoonthornphisajPublished in: Intell. Data Anal. (2014)
Keyphrases
- multi class
- imbalanced data
- support vector machine
- feature selection
- base classifiers
- cost sensitive
- sampling methods
- class distribution
- class imbalance
- multi class classification
- linear regression
- svm classifier
- minority class
- ensemble classifier
- ensemble methods
- random forest
- machine learning
- binary classification
- decision trees
- support vector machine svm
- support vector
- classification models
- binary classifiers
- multi task
- ensemble learning
- linear classifiers
- pairwise
- feature space
- random sampling
- kernel function
- generalization ability
- feature extraction
- prediction accuracy
- feature vectors
- base learners
- hyperplane