How fair can we go in machine learning? Assessing the boundaries of fairness in decision trees.
Ana ValdiviaJavier Sánchez-MonederoJorge CasillasPublished in: CoRR (2020)
Keyphrases
- decision trees
- machine learning
- machine learning algorithms
- naive bayes
- feature construction
- decision tree construction
- predictive accuracy
- decision tree induction
- pattern recognition
- text classification
- learning tasks
- machine learning methods
- support vector machine
- training set
- training data
- text mining
- decision tree algorithm
- computational intelligence
- object boundaries
- inductive learning
- decision rules
- rule induction
- knowledge acquisition
- induction algorithms
- constructive induction
- learning algorithm
- decision tree induction algorithm
- data mining methods
- game theory
- classification rules
- transfer learning
- resource allocation
- learning systems
- genetic programming
- natural language processing
- information extraction
- knowledge representation
- active learning
- computer science
- feature selection