FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data.
Zhun DengJiayao ZhangLinjun ZhangTing YeYates ColeyWeijie J. SuJames ZouPublished in: CoRR (2022)
Keyphrases
- imbalanced data
- svm classifier
- imbalanced data sets
- support vector machine
- class distribution
- training set
- ensemble classifier
- classification models
- sampling methods
- ensemble methods
- support vector
- feature selection
- imbalanced datasets
- linear regression
- minority class
- decision boundary
- support vector machine svm
- class imbalance
- training data
- decision trees
- high dimensionality
- linear classifiers
- training process
- ensemble learning
- random forest
- kernel function
- multilayer perceptron
- data sets
- test set
- training samples
- image classification
- classification accuracy
- feature vectors
- feature space
- data streams
- machine learning