Description
Support Vector Machine (SVM) is a robust classification and regression technique that maximizes the predictive accuracy of a model without overfitting the training data. SVM is particularly suited to analyzing data with very large numbers (for example, thousands) of predictor fields.
Technical Details
| Framework | MITRE D3FEND |
| Ontology URI | d3f:SupportVectorMachineClassification |
| Local Identifier | SupportVectorMachineClassification |
| Publication Status | Exists in ontology only |