Assessing the Robustness of Ordinal Classifiers against Imbalanced and Shifting Distributions.
Thomas BonnierBenjamin BoschPublished in: LIDTA (2022)
Keyphrases
- imbalanced data sets
- imbalanced data
- decision trees
- probability distribution
- machine learning algorithms
- minority class
- class imbalance
- training data
- supervised classification
- training set
- svm classifier
- binary classification problems
- class conditional
- linear classifiers
- class distribution
- highly skewed
- class conditional densities
- class imbalanced
- data sets
- classification models
- feature set
- test set
- feature selection
- support vector
- naive bayes
- classification algorithm
- classification method
- classifier ensemble
- random variables
- naive bayes classifier
- binary classifiers
- training samples
- multi class problems
- multi class
- rare class
- roc curve