Support Vector Machine, Support Vector Classifier, Kernel Trick, Rbf, Polynomial.
approach we call it SVM. The model takes lower dimension input space to transform it into higher dimensional so that the data becomes linearly separable in higher dimensions In above image in one example we can see the 1D data points have been transformed into 2D data points & in another example 2D