Elastic Net Regression

GPTKB entity

Statements (23)
Predicate Object
gptkbp:instanceOf statistical analysis
regression method
gptkbp:application feature selection
predictive modeling
gptkbp:category supervised learning
gptkbp:combines L1 regularization
L2 regularization
https://www.w3.org/2000/01/rdf-schema#label Elastic Net Regression
gptkbp:hyperparameter alpha
l1_ratio
gptkbp:implementedIn gptkb:scikit-learn
R
gptkbp:introduced gptkb:Zou_and_Hastie
gptkbp:introducedIn 2005
gptkbp:objective minimizes least squares with L1 and L2 penalties
gptkbp:relatedTo gptkb:Ridge_regression
gptkb:Lasso_regression
gptkbp:solvedBy variable selection
multicollinearity
gptkbp:usedIn gptkb:machine_learning
statistics
gptkbp:bfsParent gptkb:Regression_Models
gptkbp:bfsLayer 7