In the context of supervised learning, a decision tree is a tree for predicting the output for a given input. We start from the root of the tree and ask a particular question about the input. Depending on the answer, we go down to one or another of its children. The child we visit is the root of another tree. So we repeat the process, i.e. ask another question here. Eventually, we reach a leaf, i.e. a node with no children. This node contains the final answer which we output and stop.

#ai & machine learning #decision trees #machine learning #regression tree #supervised learning