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
|