Learning Confidence Bounds for Classification with Imbalanced Data.
Matthew CliffordJonathan ErskineAlexander HepburnRaúl Santos-RodríguezDario García-GarcíaPublished in: CoRR (2024)
Keyphrases
- imbalanced data
- imbalanced data sets
- learning from imbalanced data
- supervised learning
- learning process
- unsupervised learning
- learning algorithm
- pattern classification
- classification models
- learning tasks
- learning scheme
- support vector machine
- image classification
- classification accuracy
- machine learning methods
- class distribution
- feature vectors
- high dimensional
- confidence bounds
- machine learning