Assessing One-Class and Binary Classification Approaches for Identifying Medicare Fraud.
Joffrey L. LeevyJohn T. HancockTaghi M. KhoshgoftaarPublished in: IRI (2023)
Keyphrases
- binary classification
- support vector
- binary classification problems
- fraud detection
- learning problems
- multi class
- data mining techniques
- cost sensitive
- multi label
- active learning strategies
- single class
- multi class classification
- generalization error
- machine learning methods
- sample size
- support vector machine
- learning process
- high dimensional