Support Vector Machine Classification

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.

References

About Support Vector Machine (SVM). IBM SPSS Modeler SaaS Documentation. Link.