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What is ID3 Decision Tree Algorithm Explained about?

The ID3 algorithm builds decision trees by selecting the attribute that is most useful for classifying examples at each step, starting with the root node. It recursively splits the examples into branches for each possible value of the selected attribute, calling itself on the examples in each branch with one less attribute, until the examples are all of the same class or there are no more attributes left to split on. The leaf nodes are then labeled with the most common class of the examples in that branch.

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d-fbuser-67397616

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