Cost-sensitive feature selection using random forest: Selecting low-cost subsets of informative features.
Qifeng ZhouHao ZhouTao LiPublished in: Knowl. Based Syst. (2016)
Keyphrases
- random forest
- cost sensitive
- informative features
- selected features
- feature selection
- feature set
- base classifiers
- multi label
- multi class
- naive bayes
- decision trees
- cost sensitive learning
- text categorization
- active learning
- class distribution
- support vector machine
- class imbalance
- ensemble methods
- text classification
- feature selection algorithms
- selection algorithm
- feature weights
- data sets
- microarray data
- classification accuracy
- feature space
- feature subset
- svm classifier
- image segmentation
- gene expression data
- kernel function
- model selection
- image classification
- pairwise