Undersampling is a Minimax Optimal Robustness Intervention in Nonparametric Classification.
Niladri S. ChatterjiSaminul HaqueTatsunori HashimotoPublished in: Trans. Mach. Learn. Res. (2023)
Keyphrases
- worst case
- decision trees
- classification accuracy
- neyman pearson
- machine learning
- classification process
- classification systems
- automatic classification
- data driven
- class imbalance
- classification rules
- support vector machine
- support vector
- pattern recognition
- neural network
- image classification
- text classification
- unsupervised learning
- support vector machine svm
- classification method
- preprocessing
- pattern classification
- feature space
- optimal solution
- classification scheme
- density estimation
- high dimensionality
- dynamic programming
- decision rules
- data sets
- feature vectors
- supervised learning