Generating classifier outputs of fixed accuracy and diversity.
Ludmila KunchevaRoumen K. KounchevPublished in: Pattern Recognit. Lett. (2002)
Keyphrases
- data sets
- uci data sets
- training data
- training set
- high accuracy
- computational cost
- error rate
- classification accuracy
- computational complexity
- fold cross validation
- classification rate
- decision trees
- support vector machine
- classifier ensemble
- leave one out cross validation
- ensemble members
- diversity measures
- multiple classifier systems
- confusion matrix
- significantly improves the accuracy
- class labels
- individual classifiers
- ensemble learning
- ensemble methods
- classification algorithm
- support vector
- feature extraction
- feature selection
- neural network