Using Recursive Feature Selection with Random Forest to Improve Protein Structural Class Prediction for Low-Similarity Sequences.
Yaoxin WangYingjie XuZhenyu YangXiaoqing LiuQi DaiPublished in: Comput. Math. Methods Medicine (2021)
Keyphrases
- random forest
- feature set
- feature selection
- selected features
- random forests
- decision trees
- fold cross validation
- feature space
- ensemble learning
- protein structural
- ensemble methods
- feature extraction
- text categorization
- text classification
- ensemble classifier
- similarity measure
- feature ranking
- classification accuracy
- sequence analysis