Likelihood ratio equivalence and imbalanced binary classification.
Alexander Benítez-BuenacheLorena Álvarez-PérezV. John MathewsAníbal R. Figueiras-VidalPublished in: Expert Syst. Appl. (2019)
Keyphrases
- binary classification
- likelihood ratio
- class imbalance
- binary classification problems
- single class
- hypothesis testing
- multi class
- cost sensitive
- support vector
- class distribution
- learning problems
- multi label
- multi class classification
- support vector machine
- binary classifiers
- generalization error
- active learning
- ensemble methods
- minority class
- high dimensionality
- prediction accuracy
- feature selection
- concept drift
- data sets
- training data
- cross validation
- semi supervised learning
- learning algorithm