Genetic Algorithms Based Resampling for the Classification of Unbalanced Datasets.
Marco VannucciValentina CollaPublished in: KES-IDT (2) (2017)
Keyphrases
- genetic algorithm
- uci repository
- benchmark datasets
- uci machine learning repository
- pattern recognition
- feature selection
- data sets
- classification accuracy
- neural network
- text classification
- feature extraction
- simulated annealing
- classification systems
- object classification
- support vector machine svm
- evolutionary algorithm
- training dataset
- support vector
- machine learning
- classification scheme
- automatic classification
- classification models
- decision rules
- class labels
- imbalanced datasets
- genetic programming
- image classification
- preprocessing
- training set
- model selection
- feature vectors
- active learning
- accurate classifiers
- uci datasets
- learning algorithm
- decision trees
- microarray datasets
- hypothesis testing
- feature space
- artificial neural networks
- multi objective
- benchmark data sets
- classification rules
- machine learning methods
- support vector machine
- cross validation
- svm classifier
- database
- machine learning algorithms