The diversity-accuracy duality in ensembles of classifiers.
Rui P. CardosoEmma HartDavid Burth KurkaJeremy V. PittPublished in: GECCO Companion (2022)
Keyphrases
- diversity measures
- ensemble members
- classifier ensemble
- individual classifiers
- decision trees
- ensemble methods
- high accuracy
- multiple classifier systems
- roc curve
- ensemble learning
- classification rate
- support vector
- highest accuracy
- ensemble pruning
- training data
- error rate
- decision stumps
- computational cost
- linear programming
- multiple classifiers
- improving classification accuracy
- confusion matrices
- higher classification accuracy
- combining classifiers
- weighted voting
- feature selection
- classification models
- prediction accuracy
- majority voting
- models built
- training samples
- fold cross validation
- ensemble classifier
- naive bayes
- generalization ability
- detection rate
- machine learning methods