Data Science, Machine Learning, Algorithms, Support Vector Machine, Supervised Learning.
be confident about its class, even if the model has some error. But, what happens when we classify a vector and it is very close to decision boundary? How can we be sure about which class to assign? To tackle this issue, support vector machines also draws a margin around the decision boundary. The