The Impact of Regularization on High-dimensional Logistic Regression.
Fariborz SalehiEhsan AbbasiBabak HassibiPublished in: NeurIPS (2019)
Keyphrases
- logistic regression
- high dimensional
- generalized linear models
- predictive power
- decision trees
- credit scoring
- logistic regression models
- support vector
- naive bayes
- loss function
- odds ratio
- chi square
- random forests
- dimensionality reduction
- breast cancer
- fold cross validation
- involving high dimensional data
- linear support vector machines
- data points
- classification trees
- low dimensional
- classification and regression trees
- logistic model
- training data
- input space
- high dimensional data
- feature space
- belief nets
- data mining