The stability of feature selection and class prediction from ensemble tree classifiers.
Jérôme PaulMichel VerleysenPierre DupontPublished in: ESANN (2012)
Keyphrases
- bias variance decomposition
- stability of feature selection
- feature ranking
- ensemble learning
- imbalanced data
- ensemble classifier
- feature selection
- feature selection algorithms
- training data
- training set
- variance reduction
- decision trees
- ensemble methods
- data sets
- base classifiers
- random forest
- machine learning algorithms
- feature set
- random forests
- test set
- weak classifiers
- support vector machine
- support vector
- classification models
- high dimensionality
- svm classifier
- feature subset selection
- small sample size
- neural network
- learning models
- base learners
- machine learning