regularized logistic regression methods for variable selection.
Mohamed El GuideKhalide JbilouChristos KoukouvinosAngeliki LappaPublished in: Commun. Stat. Simul. Comput. (2022)
Keyphrases
- variable selection
- regression methods
- logistic regression
- sparsity inducing
- regression model
- linear regression
- model selection
- cross validation
- ridge regression
- high dimensional
- least squares
- input variables
- dimension reduction
- partial least squares
- support vector
- regression method
- group lasso
- decision trees
- ls svm
- naive bayes
- feature selection
- neural network
- loss function
- high dimensional data
- factor analysis
- prediction model
- k nearest neighbour
- pairwise
- machine learning