Comparison of Ensemble Models as Solutions for Imbalanced Class Classification of Datasets.
Yoga PristyantoAnggit Ferdita NugrahaRifda Faticha Alfa AzizaIbnu Hadi PurwantoMulia SulistiyonoAkhmad DahlanPublished in: IMCOM (2023)
Keyphrases
- binary classification problems
- imbalanced datasets
- imbalanced data
- ensemble methods
- training set
- classification models
- machine learning methods
- multi class problems
- class imbalance
- classification accuracy
- multi class
- class imbalanced
- cost sensitive learning
- class labels
- benchmark datasets
- decision trees
- accurate classifiers
- rare class
- single class
- binary classification
- feature selection
- training dataset
- support vector machine
- generalization ability
- machine learning
- multi class classification
- learning algorithm
- classification trees
- machine learning algorithms
- data sets
- final classification
- instance selection
- trained classifiers
- uci machine learning repository
- linear svm
- uci repository
- majority voting
- feature extraction
- multiclass classification
- model selection
- regression problems
- intra class
- training data
- support vector
- feature space
- probabilistic model
- image classification
- naive bayes