Explain Decision Tree algorithm with the help of a suitable example.
A Decision Tree is a supervised machine learning algorithm used for both classification and regression tasks. It works by splitting the data into subsets based on feature values, creating a tree-like structure where each node represents a decision based on a specific feature. The _____ ________ __________ ______ ___ _________ _____ __________ __________ __________.
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