Advantages of SVM

Support Vector Machine (SVM) implements solvers for scalability and handling large volumes of data.

Oracle Machine Learning for SQL SVM implementation includes two types of solvers, an Interior Point Method (IPM) solver and a Sub-Gradient Descent (SGD) solver. The IPM solver provides stable and accurate solutions, however, it may not be able to handle data of high dimensionality. For high-dimensional and/or large data, for example, text, ratings, and so on, the SGD solver is a better choice. Both solvers have highly scalable parallel implementations and can handle large volumes of data.