Statements (24)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
Ensemble learning method
|
| gptkbp:aggregationMethod |
Majority voting
Averaging |
| gptkbp:alsoKnownAs |
gptkb:Bagging
|
| gptkbp:appliesTo |
Regression
Classification Decision trees |
| gptkbp:category |
gptkb:Supervised_learning
Statistical resampling method |
| gptkbp:citation |
Bagging predictors, Machine Learning, 1996
|
| https://www.w3.org/2000/01/rdf-schema#label |
Bootstrap Aggregating
|
| gptkbp:input |
Training dataset
|
| gptkbp:method |
Combines predictions from multiple models
Trains each model on a bootstrap sample |
| gptkbp:output |
Aggregated prediction
|
| gptkbp:proposedBy |
gptkb:Leo_Breiman
|
| gptkbp:purpose |
Improve model stability
Prevent overfitting Reduce variance |
| gptkbp:relatedTo |
gptkb:Random_Forest
|
| gptkbp:usedIn |
Machine learning
|
| gptkbp:yearProposed |
1994
|
| gptkbp:bfsParent |
gptkb:Bagging
|
| gptkbp:bfsLayer |
7
|