On the Use of Accuracy and Diversity Measures for Evaluating and Selecting Ensembles of Classifiers.
Tuve LöfströmUlf JohanssonHenrik BoströmPublished in: ICMLA (2008)
Keyphrases
- diversity measures
- classifier ensemble
- multiple classifier systems
- fusion framework
- classification models
- ensemble classifier
- individual classifiers
- classification accuracy
- majority voting
- decision trees
- prediction accuracy
- base classifiers
- naive bayes
- spam detection
- linear combination
- generalization ability
- feature selection
- classifier combination
- objective measures