Machine Learning, Logistic Regression, Non Linear.
stick to 2 classes, in a 2-d feature space. A point [x, y] in the feature space can belong to only one of the classes, and the function f (x,y; c) = 0 defines the decision boundary as shown in Figure 1 below. Figure 1. The decision boundary f(x,y; c) = 0 in feature space, separates the observations