Decision Tree (DT)
A decision tree is a non-parametric supervised learning algorithm used for classification and regression tasks. It is simple to use, to interpret and can be visualised as it has a hierarchical tree structure which consists of a root node, branches, internal nodes and leaf nodes. Decision trees are widely used due to their interpretability, flexibility and low preprocessing needs.
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