Over-sampling imbalanced datasets using the Covariance Matrix.
Ireimis Leguen-devaronaJulio MaderaYoan Martínez-LópezJosé Carlos Hernández-NietoPublished in: EAI Endorsed Trans. Energy Web (2020)
Keyphrases
- covariance matrix
- imbalanced datasets
- sampling methods
- sample size
- imbalanced data
- imbalanced class distribution
- random sampling
- class imbalance
- class distribution
- minority class
- sampling algorithm
- cost sensitive learning
- principal component analysis
- ensemble methods
- decision trees
- estimation error
- classification error
- cost sensitive
- objective function
- neural network
- original data
- model selection
- upper bound
- support vector machine
- pairwise
- machine learning