Post-boosting of classification boundary for imbalanced data using geometric mean.
Jie DuChi-Man VongChi-Man PunPak-Kin WongWeng-Fai IpPublished in: Neural Networks (2017)
Keyphrases
- imbalanced data
- ensemble methods
- ensemble classifier
- support vector machine
- feature selection
- imbalanced datasets
- imbalanced data sets
- classification models
- class imbalance
- pattern recognition
- decision trees
- decision boundary
- base classifiers
- base learners
- feature extraction
- benchmark datasets
- class distribution
- svm classifier
- ensemble learning
- high dimensionality
- pattern classification
- random forest
- machine learning methods
- cost sensitive
- decision rules
- feature set
- classification accuracy
- machine learning
- cross validation
- class labels
- random forests
- loss function
- support vector machine svm
- feature vectors
- feature space
- learning algorithm