Data Science, Machine Learning, Algorithms, Support Vector Machine, Supervised Learning.
has a quadratic shape. But if you train your model in the augmented feature space, you’ll find a linear decision boundary that separates the two classes. Because it is a transformation, the quadratic boundary in original feature space corresponds to a linear one in the augmented feature space. The