I'm looking at the different fitr-models and I'm wondering where the difference is between the default fitrkernel and fitrsvm with gaussian kernel. Both have the same hyperparameters. Fitrkernel is a gaussian kernel model, that uses an svm as a linear regression model and fitrsvm is an svm with a gauss kernel. Isn't that redundant?
Furthermore I do not understand the exact function of the hyperparameter "KernelScale" in both models. Are there any papers explaining the parameter used in Matlab?