SVM for Regression using R

Support Vector Machine for Regression using R

Predictive Modelling problems are classified either as classification or Regression problem. Support Vector Machine (SVM) algorithm could be used for both classification and regression scenarios. In the earlier blog, we have explained SVM technique and its way of working using an example

In regression problems, the target variable is continuous and value of the target/decision variable is estimated using a set of independent variables.

In classification problems, the decision variable is discrete - Binary, Nominal or Ordinal. In the previous blog, we have applied Support Vector Machine (SVM) for Binary Predictive Modelling scenario and using R (an open source Statistical computing system).