Support Vector Machine, Support Vector Classifier, Kernel Trick, Rbf, Polynomial.
complex. Max marginal classifier (MMC): Assumptions: 1. The data should be linearly separable. 2. In this technique we draw a hard margin ( which means we do not allow any misclassification across the border line). 3. It may be in 1D or 2D area. The model perform very well in training data but