The Impact of Regularization on High-dimensional Logistic Regression.
Fariborz SalehiEhsan AbbasiBabak HassibiPublished in: CoRR (2019)
Keyphrases
- logistic regression
- high dimensional
- generalized linear models
- decision trees
- support vector
- predictive power
- credit scoring
- random forests
- loss function
- odds ratio
- logistic regression models
- chi square
- naive bayes
- linear svm
- linear support vector machines
- breast cancer
- chi square test
- low dimensional
- involving high dimensional data
- input space
- information retrieval
- dimensionality reduction
- fold cross validation
- nearest neighbor
- logistic model
- variable selection
- classification trees
- pairwise