Random feature selection using random subspace logistic regression.
Nuttanan WichitaksornYingyue KangFaqiang ZhangPublished in: Expert Syst. Appl. (2023)
Keyphrases
- logistic regression
- feature selection
- support vector
- naive bayes
- random forests
- feature subspace
- fold cross validation
- decision trees
- classification accuracy
- loss function
- text categorization
- support vector machine
- feature set
- feature ranking
- text classification
- classifier fusion
- feature space
- information gain
- random forest
- model selection
- ensemble learning
- ensemble methods
- feature extraction
- subspace methods
- classification models
- base classifiers
- machine learning
- dimensionality reduction
- cost sensitive
- knn
- feature subset
- cross validation
- kernel function
- multi class
- selective sampling