Lessons Learned from Problem Gambling Classification: Indirect Discrimination and Algorithmic Fairness.
Christian PercyArtur S. d'Avila GarcezSimo DragicevicSanjoy SarkarPublished in: AI4SG@AAAI Fall Symposium (2020)
Keyphrases
- lessons learned
- future directions
- case study
- participatory design
- feature selection
- classification accuracy
- pattern recognition
- decision trees
- supervised classification
- support vector
- classification scheme
- text classification
- automatic classification
- benchmark datasets
- classification rules
- classification systems
- classification rate
- supervised learning
- support vector machine svm
- classification models
- classification algorithm
- machine learning algorithms
- cost sensitive
- grounded theory
- pattern classification
- classification method
- decision rules
- machine learning
- training samples
- support vector machine
- feature vectors
- training set
- feature space
- feature extraction
- information systems