A Method of Random Forest Classification based on Fuzzy Comprehensive Evaluation.
Jing ZhuSong HuangYaqing ShiKaishun WuYanqiu WangPublished in: DSA (2021)
Keyphrases
- random forest
- feature set
- decision trees
- machine learning methods
- fuzzy comprehensive evaluation
- evaluation method
- support vector machine
- classification accuracy
- clustering method
- support vector machine svm
- text classification
- pairwise
- training samples
- machine learning
- multi class
- test data
- knowledge discovery
- cost sensitive
- bp neural network
- feature extraction
- random forests
- evaluation model
- multiple criteria
- genetic algorithm