CART, C4.5, ID3 Algorithms CART: CART (Classification and Regression Trees). CART is a versatile algorithm that can be used for both classification and regression tasks. It constructs binary decision trees, where each internal node represents a splitting criterion on a feature, and each leaf node represents a class label or a regression value. The splitting criterion in CART is determined by optimizing a cost function, such as the Gini index for classification or the mean squared error for regression. The algorithm recursively partitions the data based on the selected feature and splits, creating branches until a stopping condition is met.

Read More