Description
A gradient-boosted decision tree is, as in other bagging and boosting methods, a method where the relatively 'weak' machine learning model (a decision tree) is used in an ensemble to form a 'strong' machine learning model.
Technical Details
| Framework | MITRE D3FEND |
| Ontology URI | d3f:GradientBoostedDecisionTree |
| Local Identifier | GradientBoostedDecisionTree |
| Publication Status | Exists in ontology only |