Ensemble Logistic Regression for Feature Selection.
Roman ZakharovPierre DupontPublished in: PRIB (2011)
Keyphrases
- logistic regression
- feature selection
- support vector
- naive bayes
- random forests
- feature ranking
- fold cross validation
- decision trees
- linear support vector machines
- text categorization
- base classifiers
- loss function
- text classification
- ensemble learning
- feature set
- ensemble methods
- classification accuracy
- credit scoring
- support vector machine
- logistic regression models
- ensemble classifier
- machine learning
- odds ratio
- linear svm
- chi square
- feature extraction
- random forest
- information gain
- feature space
- multi class
- belief nets
- regression problems
- feature subset
- mutual information
- neural network
- dimensionality reduction
- training data
- classification and regression trees
- model selection
- chi square test
- logistic model
- training set
- knn
- bayesian classifier
- principal component analysis