The imbalance problem: A comparison of sampling approaches using different parameters and feature selection methods in the context of classification.
José Luis Morillo-SalasVerónica Bolón-CanedoAmparo Alonso-BetanzosPublished in: Expert Syst. J. Knowl. Eng. (2024)
Keyphrases
- classification accuracy
- pattern recognition
- machine learning methods
- classification systems
- machine learning algorithms
- sampling strategies
- classification algorithm
- classification method
- text classification
- classification scheme
- decision trees
- class imbalance
- automatic classification
- classification models
- parameter space
- machine learning approaches
- imbalanced data
- neural networks and support vector machines
- machine learning
- preprocessing
- feature vectors
- support vector machine
- image classification
- data sets
- highly skewed
- multiple classifier systems
- sampling methods
- probabilistic model
- decision rules
- context aware
- class distribution
- semi supervised learning
- parameter values
- pattern classification
- parameter estimation
- benchmark datasets
- sample size