Ensembling over Classifiers: a Bias-Variance Perspective.
Neha GuptaJamie SmithBen AdlamZelda MarietPublished in: CoRR (2022)
Keyphrases
- bias variance
- bias variance decomposition
- trade off
- bias variance analysis
- classifier ensemble
- individual classifiers
- decision trees
- training data
- training set
- predictive accuracy
- machine learning
- test set
- low variance
- svm classifier
- support vector
- classification models
- naive bayes
- feature selection
- classification algorithm
- class labels
- machine learning algorithms
- combining multiple
- support vector machine svm
- k nearest neighbor
- feature extraction