A decision tree is a non-parametric supervised learning algorithm, which is utilized for both classification and regression tasks. It has hierarchical, tree structure, which consists of a root node, branches, internal nodes and leaf nodes. note: Parametric supervised learning refers to a type of machine learning where the model assumes a specific functional form and estimates […]