Support Vector Machine, Machine Learning, Svm Algorithm, Svm, Classification Algorithms.
coordinate geometry. Now let’s form the hyperplane equation again. Let g(x, y) be the equation of the line. Analogously, g(x, y) = W^T.X + c. If you change the value of c, you are basically shifting the line closer and away from the origin. Example Basically, the support vectors lie on, But again,