An improved random forest based on the classification accuracy and correlation measurement of decision trees.
Zhigang SunGuotao WangPengfei LiHui WangMin ZhangXiaowen LiangPublished in: Expert Syst. Appl. (2024)
Keyphrases
- random forest
- decision trees
- classification accuracy
- feature set
- naive bayes
- selected features
- training set
- random forests
- training data
- feature reduction
- fold cross validation
- feature selection
- ensemble methods
- base classifiers
- decision tree learning algorithms
- feature importance
- machine learning algorithms
- ensemble learning
- machine learning
- logistic regression
- support vector
- multi label
- multiple classifier systems
- feature ranking
- classification models
- image processing
- learning algorithm