Categorical classifiers in multiclass classification with imbalanced datasets.
Maurizio CarpitaSilvia GoliaPublished in: Stat. Anal. Data Min. (2023)
Keyphrases
- kernel methods
- multiclass classification
- imbalanced datasets
- support vector machine
- binary classification
- multi class
- cost sensitive
- cost sensitive learning
- learning problems
- support vector
- class imbalance
- class distribution
- imbalanced data
- minority class
- feature space
- binary classifiers
- machine learning
- ensemble methods
- sampling methods
- machine learning algorithms
- feature selection
- feature selection algorithms
- decision trees
- base classifiers
- training data
- bayesian networks
- random sampling
- pairwise
- active learning
- high dimensional