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Explain the decision tree classification?
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Answer / Kumari Arunima
Decision tree classification is a popular machine learning algorithm used for classifying data. It builds a model that predicts the class of an object by creating a tree where each internal node represents a feature, each branch represents a decision rule, and each leaf node represents a class.
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