Statements (25)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
Ensemble learning method
|
| gptkbp:category |
gptkb:Supervised_learning
|
| gptkbp:commonBaseLearner |
gptkb:Decision_tree
|
| gptkbp:compatibleWith |
Stacking
Boosting |
| gptkbp:doesNotReduce |
Model bias
|
| gptkbp:firstPublished |
1994
|
| gptkbp:fullName |
gptkb:Bootstrap_Aggregating
|
| https://www.w3.org/2000/01/rdf-schema#label |
Bagging
|
| gptkbp:method |
Combines predictions from multiple models
Trains models on bootstrap samples |
| gptkbp:proposedBy |
gptkb:Leo_Breiman
|
| gptkbp:purpose |
Improve model stability
Prevent overfitting Reduce variance |
| gptkbp:reduces |
Model variance
|
| gptkbp:relatedTo |
gptkb:Random_Forest
Boosting |
| gptkbp:requires |
Multiple base models
|
| gptkbp:usedIn |
Machine learning
|
| gptkbp:uses |
Bootstrap sampling
|
| gptkbp:worksWith |
Averaging predictions for regression
Majority voting for classification |
| gptkbp:bfsParent |
gptkb:AdaBoost
|
| gptkbp:bfsLayer |
6
|