Ensembles of Classifiers: a Bias-Variance Perspective.
Neha GuptaJamie SmithBen AdlamZelda E. MarietPublished in: Trans. Mach. Learn. Res. (2022)
Keyphrases
- bias variance
- bias variance decomposition
- trade off
- ensemble learning
- decision trees
- diversity measures
- ensemble classifier
- classifier ensemble
- combining classifiers
- weighted voting
- ensemble methods
- multiple classifier systems
- bias variance analysis
- majority voting
- machine learning algorithms
- training set
- classifier combination
- feature selection
- information retrieval
- classification models
- svm classifier
- naive bayes
- test set
- training data
- ensemble members
- base classifiers
- multiple classifiers
- imbalanced data
- feature ranking
- individual classifiers
- class labels
- variance reduction
- prediction accuracy
- low variance
- training samples
- trained classifiers
- support vector
- machine learning methods
- meta learning