Addressing the Classification with Imbalanced Data: Open Problems and New Challenges on Class Distribution.
Alberto FernándezSalvador GarcíaFrancisco HerreraPublished in: HAIS (1) (2011)
Keyphrases
- imbalanced data
- class distribution
- open problems
- class imbalance
- imbalanced data sets
- imbalanced datasets
- highly skewed
- majority class
- highly imbalanced
- minority class
- cost sensitive
- training set
- classification models
- feature selection
- support vector machine
- class labels
- test set
- training samples
- training data
- cost sensitive learning
- linear regression
- misclassification costs
- decision boundary
- sampling methods
- random forest
- svm classifier
- decision trees
- imbalanced class distribution
- support vector machine svm
- ensemble methods
- supervised learning
- classification error
- classification accuracy
- active learning
- machine learning
- high dimensional
- classification algorithm
- feature space
- feature extraction
- image classification