Answer / Aditya Kumar Gautam

Decision tree classification is a popular Machine Learning (ML) algorithm that works by recursively splitting a dataset into subsets based on the most significant feature or attribute, with the goal of pure classes in each subset. This process continues until all instances in a subset belong to the same class or there are no more splits possible.

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