Confidence Classifiers with Guaranteed Accuracy or Precision.
Ulf JohanssonCecilia SönströdTuwe LöfströmHenrik BoströmPublished in: COPA (2023)
Keyphrases
- confidence measures
- high precision
- precision and recall
- training data
- decision trees
- individual classifiers
- prediction accuracy
- fold cross validation
- confusion matrix
- computational cost
- roc curve
- improving classification accuracy
- ensemble pruning
- confidence measure
- linear classifiers
- classification rate
- error rate
- high accuracy
- classification method
- highest accuracy
- roc analysis
- confidence level
- classification accuracy
- classification systems
- training examples
- feature set
- machine learning algorithms
- data sets
- recall precision
- confusion matrices
- machine learning
- learning algorithm
- test set
- support vector machine classifier
- support vector
- multiple classifier systems
- multiple classifiers
- computational complexity
- classifier combination
- precision recall
- predictive accuracy
- training set
- induction algorithms
- generalization ability
- weak classifiers