Handling Imbalanced Datasets Through Optimum-Path Forest.
Leandro Aparecido PassosDanilo S. JodasLuiz Carlos Felix RibeiroMarco AkioAndré Nunes de SouzaJoão Paulo PapaPublished in: CoRR (2022)
Keyphrases
- imbalanced datasets
- optimum path forest
- cost sensitive learning
- class imbalance
- class distribution
- imbalanced data
- decision boundary
- sampling methods
- decision trees
- ensemble methods
- training dataset
- minority class
- strongly connected
- feature selection algorithms
- support vector
- neural network
- cost sensitive
- multi class