A Notion of Feature Importance by Decorrelation and Detection of Trends by Random Forest Regression.
Yannick GerstorferMax Hahn-KlimrothLena KriegPublished in: Data Sci. J. (2023)
Keyphrases
- random forest
- feature importance
- random forests
- decision trees
- feature set
- ensemble methods
- fold cross validation
- ensemble learning
- neural network
- semi supervised
- data mining
- rotation forest
- base classifiers
- multi label
- multi class
- independent component analysis
- k nearest neighbor
- markov random field
- relevance feedback
- knowledge discovery
- ensemble classifier
- support vector
- feature extraction
- feature selection