Imbalanced classification with tpg genetic programming: impact of problem imbalance and selection mechanisms.
Nicolas SourbierJustine BonnotFrédéric MajorczykOlivier GesnyThomas GuyetMaxime PelcatPublished in: GECCO Companion (2022)
Keyphrases
- genetic programming
- class imbalance
- imbalanced datasets
- classification rules
- regression problems
- imbalanced data
- fitness function
- classification accuracy
- class distribution
- feature vectors
- image classification
- pattern recognition
- decision trees
- imbalanced data sets
- text classification
- classification scheme
- minority class
- model selection
- binary classification
- pattern classification
- classification method
- support vector machine
- support vector
- feature extraction
- machine learning
- gene expression programming
- rare class
- symbolic regression
- selection algorithm
- classification models
- high dimensionality
- evolutionary computation
- machine learning methods
- machine learning algorithms
- support vector machine svm
- training samples
- training set
- data streams
- genetic algorithm