Grouped Variable Selection Using Area under the ROC with Imbalanced Data.
Yang LiYichen QinLimin WangJiaxu ChenShuangge MaPublished in: Commun. Stat. Simul. Comput. (2016)
Keyphrases
- variable selection
- imbalanced data
- feature selection
- receiver operating characteristic
- high dimensional
- cross validation
- linear regression
- class distribution
- model selection
- support vector machine
- ensemble methods
- dimension reduction
- random forest
- classification models
- roc curve
- decision trees
- high dimensionality
- class imbalance
- ensemble classifier
- data sets
- text classification
- ensemble learning
- machine learning methods
- image processing
- sampling methods
- neural network