A novel bias-alleviated hybrid ensemble model based on over-sampling and post-processing for fair classification.
Fang HeXiaoxia WuWenyu ZhangXiaoling HuangPublished in: Connect. Sci. (2023)
Keyphrases
- post processing
- preprocessing
- classification algorithm
- imbalanced data
- training set
- classification accuracy
- support vector machine
- classification models
- feature vectors
- rule learning
- filtering method
- decision trees
- feature selection
- post processed
- pattern extraction
- classifier ensemble
- projections onto convex sets
- ensemble learning
- class labels
- feature space
- human experts
- ensemble classifier
- decision rules
- text classification
- data preprocessing
- denoising
- feature extraction
- machine learning