The Decision Tree ID3 algorithm is a supervised machine learning technique used for classification problems. It builds a tree-like model by selecting the best attribute based on Information Gain, which measures how well an attribute separates the data. The algorithm recursively splits the dataset into smaller subsets until accurate classification is achieved. ID3 is easy to understand, efficient for decision-making tasks, and widely used in predictive analytics and data mining applications.
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