How does the process of tree splitting work in machine learning algorithms?

In machine learning algorithms, tree splitting involves dividing a dataset into smaller subsets based on certain criteria, such as the value of a specific feature. This process continues recursively until a stopping condition is met, resulting in a tree structure that can be used for making predictions.