Using Accuracy and Diversity to Select Classifiers to Build Ensembles.
Rodrigo G. F. SoaresAlixandre SantanaAnne M. P. CanutoMarcílio Carlos Pereira de SoutoPublished in: IJCNN (2006)
Keyphrases
- ensemble members
- diversity measures
- classifier ensemble
- multiple classifier systems
- ensemble methods
- ensemble learning
- individual classifiers
- classification accuracy
- decision trees
- high accuracy
- training set
- prediction accuracy
- decision stumps
- classification rate
- fold cross validation
- improving classification accuracy
- roc curve
- ensemble classifier
- generalization error
- multiple classifiers
- generalization ability
- computational cost
- confusion matrix
- ensemble pruning
- classifier combination
- selection algorithm
- higher classification accuracy
- highest accuracy
- classification models
- data sets