Data Science, Machine Learning, Algorithms, Support Vector Machine, Supervised Learning.
But, since we’re working in a 2-dimensional space, any hyperplane we define will always have (2–1) = 1 dimensions. So, we can represent the hyperplane with a simple regression line. With the decision boundary defined, we can now classify points based on where they fall in relation to it.