Cost-Sensitive Ensemble Learning for Highly Imbalanced Classification.
Justin M. JohnsonTaghi M. KhoshgoftaarPublished in: ICMLA (2022)
Keyphrases
- cost sensitive
- highly imbalanced
- ensemble learning
- class distribution
- base classifiers
- cost sensitive learning
- generalization ability
- multi class
- misclassification costs
- base learners
- class imbalance
- binary classification
- ensemble methods
- support vector machine
- imbalanced data
- naive bayes
- ensemble classifier
- active learning
- classification accuracy
- concept drift
- support vector
- data sets
- support vector machine svm
- feature selection
- classification error
- binary classifiers
- training set
- boosting algorithms
- training samples
- text mining
- minority class
- small number
- neural network