Support vector machine (SVM)

In advanced machine learning, the classification is done by SVM. The SVMs aim to create a decision boundary using which we can identify boundary from two suitable output values. SVM is also used for classification purpose. It is a supervised algorithm with which we can the change the boundary position also. The points closer to the boundary are called support vectors, these are required for further analysis.