Minimax risk classifiers with 0-1 loss.
Santiago MazuelasMauricio RomeroPeter GrünwaldPublished in: CoRR (2022)
Keyphrases
- training data
- decision trees
- risk management
- test set
- decision making
- support vector
- training set
- linear classifiers
- expected loss
- risk assessment
- risk factors
- machine learning algorithms
- training examples
- naive bayes
- multiple classifiers
- risk measures
- weak classifiers
- high risk
- classification method
- machine learning methods
- classification algorithm
- training samples
- evaluation function
- ensemble learning
- extracted features
- data sets
- ensemble classifier
- feature set
- classifier combination
- worst case
- majority vote
- feature selection
- machine learning