On the design of Bayesian principled algorithms for imbalanced classification.
Alexander Benítez-BuenacheLorena Álvarez-PérezAníbal R. Figueiras-VidalPublished in: Knowl. Based Syst. (2021)
Keyphrases
- benchmark datasets
- classification algorithm
- machine learning algorithms
- pattern recognition
- decision trees
- classification models
- support vector
- high dimensional
- computational cost
- neural network
- multi class
- model selection
- nearest neighbour
- binary classification problems
- class labels
- imbalanced data sets
- classification accuracy
- computationally efficient
- worst case
- significant improvement
- feature space
- data structure
- case study
- learning algorithm
- data mining