Exploring Fairness-Accuracy Trade-Offs in Binary Classification: A Comparative Analysis Using Modified Loss Functions.
Christina TrotterYixin ChenPublished in: ACM Southeast Regional Conference (2024)
Keyphrases
- loss function
- binary classification
- convex loss functions
- support vector
- hinge loss
- boosting algorithms
- prediction accuracy
- learning problems
- pairwise
- multi class
- classification accuracy
- multi class classification
- cost sensitive
- support vector machine
- binary classifiers
- kernel function
- multi label
- ensemble methods
- generalization error
- reproducing kernel hilbert space
- risk minimization
- kernel methods
- data sets
- cross validation
- feature selection
- class imbalance
- active learning
- decision trees
- gaussian kernels
- learning algorithm