decision boundaries

Decision boundaries are the lines or surfaces that separate different categories or groups in a space defined by data features. Imagine plotting data points on a graph; the decision boundary is like a fence or divider that helps a machine determine which side a new point belongs to. These boundaries are learned by algorithms to classify data accurately, based on patterns. They can be straight lines, curves, or more complex shapes, depending on the data and the method used. Essentially, decision boundaries guide decisions about how data points are grouped or labeled.