Leveraging Linear Independence of Component Classifiers: Optimizing Size and Prediction Accuracy for Online Ensembles.
Enes BektasFazli CanPublished in: CoRR (2023)
Keyphrases
- prediction accuracy
- ensemble methods
- ensemble learning
- majority voting
- ensemble classifier
- classifier ensemble
- ensemble members
- decision trees
- individual classifiers
- predictive accuracy
- base classifiers
- kernel svms
- predictive power
- improve the prediction accuracy
- random forest
- binary classification
- multiple classifier systems
- diversity measures
- random forests
- weighted voting
- imbalanced data
- training data
- machine learning algorithms
- online learning
- training set
- estimation accuracy
- linear classifiers
- multiple classifiers
- training samples
- support vector
- fusion methods
- improved accuracy
- classification models
- machine learning methods
- decision stumps
- feature set
- web page prediction