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Explain the Algorithm of Decision Trees in Machine Learning?
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Answer / Gaurav Kaushik
Decision tree algorithm is a popular supervised learning technique used for classification and regression tasks. It constructs a tree-like model where each internal node represents a test on an attribute, each branch represents the outcome of the test, and each leaf node (terminal node) represents a class label or a value. The tree is built recursively by selecting the best attribute to split the data at each step based on certain criteria.
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