Bounding the fairness and accuracy of classifiers from population statistics.
Sivan SabatoElad Yom-TovPublished in: ICML (2020)
Keyphrases
- high accuracy
- confusion matrix
- training data
- individual classifiers
- fold cross validation
- classification accuracy
- upper bound
- roc curve
- ensemble learning
- improving classification accuracy
- confusion matrices
- classification rate
- classification algorithm
- prediction accuracy
- game theory
- predictive accuracy
- evolutionary algorithm
- linear classifiers
- accuracy rate
- training set
- support vector
- multiple classifier systems
- roc analysis
- correctly classified
- training set size
- feature extraction
- decision trees
- genetic algorithm