Addressing Fairness, Bias and Class Imbalance in Machine Learning: the FBI-loss.
Elisa FerrariDavide BacciuPublished in: CoRR (2021)
Keyphrases
- class imbalance
- machine learning
- active learning
- cost sensitive learning
- skewed data
- class distribution
- feature selection
- cost sensitive
- imbalanced class distribution
- imbalanced datasets
- machine learning algorithms
- pattern recognition
- decision trees
- learning algorithm
- high dimensionality
- sampling methods
- concept drift
- text classification
- small disjuncts
- inductive bias
- minority class
- support vector machine
- majority class
- test set
- semi supervised learning
- semi supervised
- supervised learning
- multi class
- imbalanced data
- misclassification costs
- learning tasks
- machine learning methods
- model selection
- data mining