Recursive Feature Elimination
GPTKB entity
Statements (23)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
feature selection algorithm
|
| gptkbp:abbreviation |
gptkb:RFE
|
| gptkbp:canBe |
support vector machines
linear models |
| https://www.w3.org/2000/01/rdf-schema#label |
Recursive Feature Elimination
|
| gptkbp:implementedIn |
gptkb:scikit-learn
|
| gptkbp:input |
dataset with features
|
| gptkbp:output |
selected subset of features
|
| gptkbp:parameter |
step size
number of features to select |
| gptkbp:relatedTo |
dimensionality reduction
feature ranking |
| gptkbp:requires |
estimator with feature importance
|
| gptkbp:step |
fit model
rank features remove least important feature repeat until desired number of features |
| gptkbp:supportsAlgorithm |
wrapper method
|
| gptkbp:usedFor |
feature selection
|
| gptkbp:usedIn |
gptkb:machine_learning
|
| gptkbp:worksWith |
recursively removing least important features
|
| gptkbp:bfsParent |
gptkb:Boruta
|
| gptkbp:bfsLayer |
5
|