Improving random forest predictions in small datasets from two-phase sampling designs.
Sunwoo HanBrian D. WilliamsonYouyi FongPublished in: BMC Medical Informatics Decis. Mak. (2021)
Keyphrases
- random forest
- imbalanced data
- decision trees
- random forests
- sampling methods
- ensemble methods
- feature set
- feature importance
- small number
- decision tree learning algorithms
- rotation forest
- benchmark datasets
- multi label
- ensemble learning
- imbalanced datasets
- prediction accuracy
- ensemble classifier
- fold cross validation
- cancer classification
- feature selection
- base classifiers
- random sampling
- text categorization
- nearest neighbor
- pairwise
- neural network