Application of random forest data mining method to the feature selection for female sub-health state.
Li-min WangJia-xu ChenMin FanXin ZhaoHua-ting CuiMei-jing QouShao-xian WangXiao-hong LiYou-ming JiangLi-qian ZhouXin PengPublished in: BIBM Workshops (2010)
Keyphrases
- association rules
- random forest
- data mining methods
- data mining techniques
- data mining
- feature selection
- feature set
- decision trees
- random forests
- fold cross validation
- selected features
- feature importance
- ensemble learning
- machine learning
- ensemble methods
- principal component analysis
- classification accuracy
- feature space
- feature extraction
- learning algorithm
- cancer classification