SVM Regression
Metadata
Support Vector Machine Regression Support Vector Regression

Notes:

  • SVM, by using Kernel functions , allows non-linear decision boundary.
  • SVM is good for high-dimensional spaces and in cases where the number of features is greater than the number of observations.
  • SVM works with standardized data.