Feature Selection Metric Using AUC Margin for Small Samples and Imbalanced Data Classification Problems.
Malak AlshawabkehJaved A. AslamJennifer G. DyDavid R. KaeliPublished in: ICMLA (1) (2011)
Keyphrases
- small samples
- imbalanced data
- feature selection
- support vector
- model selection
- information gain
- support vector machine
- classification accuracy
- class distribution
- classification models
- feature set
- text categorization
- naive bayes
- decision boundary
- feature selection algorithms
- dimensionality reduction
- high dimensionality
- multi class
- class imbalance
- machine learning
- svm classifier
- text classification
- feature extraction
- cross validation
- roc curve
- training set
- data sets
- ensemble learning
- generalization error
- logistic regression