Decision trees are supervised learning algorithms, which can be used both for the purpose of classification and regression. However, more often it is used for solving Classification problems. It is a tree-structured classifier, where internal nodes represent the features of a dataset, branches represent the decision rules and each leaf node represents the outcome.
Decision Tree Algorithm: Supervised Learning
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