A Performance Analysis of Classifiers on Imbalanced Data.
Nathan Formentin GarciaRômulo A. StrzodaGiancarlo LuccaEduardo N. BorgesPublished in: ICEIS (1) (2022)
Keyphrases
- imbalanced data
- imbalanced data sets
- ensemble classifier
- linear regression
- feature selection
- class distribution
- classification models
- imbalanced datasets
- sampling methods
- random forest
- decision trees
- support vector machine
- ensemble methods
- class imbalance
- minority class
- ensemble learning
- svm classifier
- training data
- data sets
- decision boundary
- cross validation
- test set
- naive bayes
- semi supervised learning
- least squares
- multi class