Description
Stacking is a method of using the results and predictions from one layer of ML models as inputs to another layer of ML models. Stacking (sometimes called stacked generalization) involves training a model to combine the predictions of several other learning algorithms.
Technical Details
| Framework | MITRE D3FEND |
| Ontology URI | d3f:Stacking |
| Local Identifier | Stacking |
| Publication Status | Exists in ontology only |