Random RotBoost: An Ensemble Classification Method Based on Rotation Forest and AdaBoost in Random Subsets and Its Application to Clinical Decision Support.
Shin-Jye LeeChing-Hsun TsengHui-Yu YangXin JinQian JiangBin PuWei-Huan HuDuen-Ren LiuYang HuangNa ZhaoPublished in: Entropy (2022)
Keyphrases
- ensemble methods
- rotation forest
- random forest
- classification method
- base classifiers
- machine learning methods
- clinical decision support
- decision trees
- ensemble learning
- prediction accuracy
- ensemble classifier
- benchmark datasets
- generalization ability
- support vector machine
- training data
- text classification
- support vector machine svm
- knn
- learning algorithm
- multi class
- feature selection
- machine learning
- multi label
- classification algorithm
- classifier ensemble
- feature set
- pattern recognition
- active learning
- computer vision