Minimax Risk Classifiers with 0-1 Loss.
Santiago MazuelasMauricio RomeroPeter GrunwaldPublished in: J. Mach. Learn. Res. (2023)
Keyphrases
- training data
- decision trees
- support vector
- naive bayes
- feature selection
- ensemble learning
- linear classifiers
- majority vote
- classification systems
- risk management
- machine learning algorithms
- high risk
- svm classifier
- risk assessment
- supervised classification
- classification models
- classifier ensemble
- test set
- training examples
- training samples
- alpha beta
- training set
- machine learning
- risk factors
- data sets
- expected error
- extracted features
- information loss
- roc curve
- classification method
- classification algorithm
- feature set
- classification accuracy
- learning algorithm