Debiasing classifiers: is reality at variance with expectation?
Ashrya AgrawalFlorian PfistererBernd BischlJiahao ChenSrijan SoodSameena ShahFrancois Buet-GolfouseBilal A. MateenSebastian J. VollmerPublished in: CoRR (2020)
Keyphrases
- training data
- linear classifiers
- decision trees
- supervised classification
- naive bayes
- feature selection
- bias variance decomposition
- training set
- classification systems
- support vector
- machine learning algorithms
- majority voting
- neural network
- decision tree classifiers
- machine learning approaches
- multiple classifiers
- feature set
- classifier combination
- nearest neighbour
- decision boundary
- highest accuracy
- intra class
- classification algorithm
- feature extraction
- classification rate
- roc curve
- correlation coefficient