FT4cip: A new functional tree for classification in class imbalance problems.
Leonardo Cañete-SifuentesRaúl MonroyMiguel Angel Medina-PérezPublished in: Knowl. Based Syst. (2022)
Keyphrases
- class imbalance
- high dimensionality
- binary classification problems
- multi class problems
- class distribution
- cost sensitive learning
- active learning
- cost sensitive
- majority class
- pattern recognition
- imbalanced datasets
- imbalanced class distribution
- imbalanced data sets
- imbalanced data
- class labels
- microarray
- machine learning
- training samples
- classification accuracy
- high dimensional
- support vector
- feature selection
- pattern classification
- principal component analysis
- multi class
- support vector machine
- learning process
- pairwise
- feature extraction