Two-Stage Sampling: A Framework for Imbalanced Classification With Overlapped Classes.
Neni Alya FirdausantiTirana Noor FatyanosaMahendra DataIsrael MendonçaMasayoshi AritsugiPublished in: Big Data (2022)
Keyphrases
- class labels
- pattern recognition
- error correcting output codes
- classification accuracy
- model selection
- rare class
- single class
- multiclass classification
- image classification
- supervised learning
- class imbalance
- binary classification problems
- imbalanced data
- majority class
- support vector
- probabilistic model
- classification method
- feature vectors
- multi class problems
- learning algorithm
- machine learning