Analyzing and Improving the Robustness of Tabular Classifiers using Counterfactual Explanations.
Peyman RasouliIngrid Chieh YuPublished in: ICMLA (2021)
Keyphrases
- decision trees
- training data
- support vector
- classification systems
- linear classifiers
- supervised classification
- feature selection
- training set
- naive bayes
- machine learning algorithms
- decision boundary
- machine learning approaches
- svm classifier
- classification algorithm
- class labels
- machine learning
- computational efficiency
- roc curve
- classification rate
- test set
- training samples
- classification accuracy
- pairwise
- binary classifiers
- k nearest neighbour
- multiple classifiers