Mixing Classifiers to Alleviate the Accuracy-Robustness Trade-Off.
Yatong BaiBrendon G. AndersonSomayeh SojoudiPublished in: CoRR (2023)
Keyphrases
- trade off
- computational efficiency
- computational cost
- improving classification accuracy
- training data
- high accuracy
- individual classifiers
- supervised classification
- classification rate
- support vector
- confusion matrix
- bias variance
- highest accuracy
- decision trees
- fold cross validation
- roc curve
- extracted features
- predictive accuracy
- feature selection
- classification accuracy
- confusion matrices
- feature extraction
- training set
- active learning
- decision stumps
- discriminative classifiers
- multiple classifiers
- neural network
- k nearest neighbour
- classifier ensemble
- error rate
- accuracy rate
- prediction accuracy
- test set
- class labels