Mitigating Subgroup Unfairness in Machine Learning Classifiers: A Data-Driven Approach.
Yin LinSamika GuptaH. V. JagadishPublished in: ICDE (2024)
Keyphrases
- machine learning
- machine learning algorithms
- machine learning methods
- decision trees
- machine learning approaches
- supervised classification
- feature selection
- training data
- data driven
- support vector
- computer vision
- meta learning
- pattern recognition
- linear classifiers
- training samples
- support vector machine
- inductive learning
- svm classifier
- learning algorithm
- knowledge acquisition
- supervised learning
- classification rate
- rule induction algorithm
- statistical methods
- feature ranking
- classification systems
- ensemble classifier
- naive bayes
- class labels
- artificial intelligence
- model selection
- computational intelligence
- knowledge discovery
- active learning
- training set
- neural network
- roc analysis
- multiple classifiers
- classifier combination
- computer science
- learning classifier systems
- knowledge representation
- roc curve
- classification models
- unsupervised learning
- learning problems
- learning tasks