Decision Boundary

A decision boundary is a line or surface that separates different groups or categories in a dataset, based on the values of features. In machine learning, it helps classifiers determine how to categorize new, unseen data points. For example, if you're trying to distinguish between apples and oranges based on size and color, the decision boundary would be the dividing line where the features change from one fruit category to another. It visualizes the model’s way of separating different classes, showing where it predicts a data point belongs to one group or another.