Cross-validation Strategies for Balanced and Imbalanced Datasets.
Thomas V. FontanariTiago Comassetto FróesMariana Recamonde MendozaPublished in: BRACIS (1) (2022)
Keyphrases
- cross validation
- imbalanced datasets
- imbalanced class distribution
- model selection
- class distribution
- training set
- hyperparameters
- cost sensitive learning
- support vector
- regression problems
- class imbalance
- decision trees
- generalization error
- imbalanced data
- ensemble methods
- sample size
- training dataset
- feature space
- support vector machine
- meta learning
- knn
- training data
- data sets