RUSDataBoost-IM: Improving Classification Performance in Imbalanced Data.
Satyam MaheshwariR. C. JainR. S. JadonPublished in: FICTA (2) (2020)
Keyphrases
- imbalanced data
- imbalanced datasets
- classification accuracy
- class imbalance
- imbalanced data sets
- classification models
- support vector machine
- decision boundary
- pattern recognition
- feature selection
- ensemble classifier
- class distribution
- image classification
- support vector
- decision rules
- linear regression
- text classification
- machine learning
- feature space
- multi class
- least squares
- svm classifier
- class labels
- high dimensionality
- classification algorithm
- cost sensitive
- supervised learning
- random forest
- benchmark datasets
- machine learning algorithms
- cost sensitive learning
- feature extraction
- face recognition
- model selection