Boosting Ensemble Accuracy by Revisiting Ensemble Diversity Metrics.
Yanzhao WuLing LiuZhongwei XieKa Ho ChowWenqi WeiPublished in: CVPR (2021)
Keyphrases
- ensemble methods
- ensemble members
- ensemble learning
- base classifiers
- prediction accuracy
- ensemble pruning
- classifier ensemble
- ensemble classifier
- generalization ability
- ensemble classification
- weak learners
- neural network
- ensemble feature selection
- learning algorithm
- individual classifiers
- random forest
- feature selection
- binary classification
- base learners
- majority voting
- multi class
- training data
- multiple classifier systems
- random forests
- diversity measures
- evaluation metrics
- concept drift
- decision trees
- computational cost
- multiple classifiers
- classification accuracy
- error rate
- machine learning methods
- precision and recall