Random Forest for Automatic Feature Importance Estimation and Selection for Explainable Postural Stability of a Multi-Factor Clinical Test.
Tomas MendozaChia-Hsuan LeeChien-Hua HuangTien-Lung SunPublished in: Sensors (2021)
Keyphrases
- feature importance
- random forest
- fold cross validation
- random forests
- decision trees
- feature set
- ensemble methods
- test data
- ensemble learning
- decision tree learning algorithms
- multi label
- evolutionary algorithm
- cancer classification
- computer vision
- base classifiers
- unsupervised learning
- relevance feedback
- training data
- feature selection