Random forest-based nonlinear improved feature extraction and selection for fault classification.
Radhia FezaiKais BouzraraMajdi MansouriHazem N. NounouMohamed N. NounouMohamed TrabelsiPublished in: SSD (2021)
Keyphrases
- random forest
- feature extraction and selection
- feature set
- decision trees
- fold cross validation
- pattern recognition
- cancer classification
- random forests
- feature extraction
- classification accuracy
- feature selection
- decision tree learning algorithms
- feature importance
- feature space
- classification algorithm
- support vector
- support vector machine
- ensemble classifier
- text classification
- image processing
- machine learning algorithms
- multi label
- ensemble learning
- data sets
- principal component analysis
- feature ranking
- training set
- base classifiers
- ensemble methods
- benchmark datasets
- unsupervised learning
- image classification