Mixing classifiers to alleviate the accuracy-robustness trade-off.
Yatong BaiBrendon G. AndersonSomayeh SojoudiPublished in: L4DC (2024)
Keyphrases
- trade off
- high accuracy
- decision trees
- computational efficiency
- fold cross validation
- error rate
- classification rate
- roc curve
- prediction accuracy
- support vector
- bias variance
- computational cost
- confusion matrix
- training data
- ensemble pruning
- higher classification accuracy
- predictive accuracy
- data sets
- support vector machine classifier
- roc analysis
- highest accuracy
- linear classifiers
- svm classifier
- confusion matrices
- improving classification accuracy
- numerical stability
- unseen data
- multiple classifiers
- majority voting
- classification systems
- class labels
- test set
- naive bayes
- computational complexity
- feature selection