Reviving Threshold-Moving: a Simple Plug-in Bagging Ensemble for Binary and Multiclass Imbalanced Data.
Guillem CollellDrazen PrelecKaustubh R. PatilPublished in: CoRR (2016)
Keyphrases
- imbalanced data
- multi class
- base classifiers
- support vector machine
- feature selection
- ensemble methods
- multiclass learning
- binary classifiers
- class imbalance
- class distribution
- binary classification problems
- ensemble classifier
- cost sensitive
- ensemble learning
- random forest
- linear regression
- multi class classification
- multiclass problems
- binary classification
- svm classifier
- decision trees
- training set
- pairwise
- base learners
- support vector machine svm
- prediction accuracy
- classification error
- misclassification costs
- sampling methods
- support vector
- classification models
- linear classifiers
- decision boundary
- cost sensitive learning
- feature space
- test set