A classification tree is a type of decision tree used for predicting the class or category of an object based on its features. It works by splitting the data into subsets based on different attribute values, forming a tree-like structure where each internal node represents a feature, each branch represents a decision rule, and each leaf node represents an outcome or class label. This model is fundamental in machine learning and statistical prediction, particularly when applied in ensemble methods like bagging and random forests.
congrats on reading the definition of classification tree. now let's actually learn it.