Explain Decision Tree algorithm with the help of a suitable example.

The Decision Tree algorithm is a popular machine learning technique used for both classification and regression tasks. It works by recursively splitting the dataset into subsets based on the most significant attribute, creating a tree-like structure where each node represents a decision based on a feature. The goal is to create a tree that predicts the target variable _________ _____ _________ ______ _________ _____ _______.
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