SVM stands for support vector machine. They are used for classification and prediction tasks. SVM consists of a separating plane that discriminates between the two classes of variables. This separating plane is known as hyperplane. Some of the kernels used in SVM are –
- Polynomial Kernel
- Gaussian Kernel
- Laplace RBF Kernel
- Sigmoid Kernel
- Hyperbolic Kernel