Decision Trees are a fundamental model in machine learning used for both classification and regression tasks. They are structured like a tree, with each internal node representing a test on an attribute (decision nodes), branches representing outcomes of the test, and leaf nodes indicating class labels or continuous values. Decision trees are intuitive and mimic