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What is ID3 Algorithm and Decision Trees Explained about?

This document discusses decision trees and the ID3 algorithm for constructing decision trees from a set of training data. It explains that decision trees classify data by sorting it down the tree from the root node to a leaf node. The ID3 algorithm uses information gain to select the attribute to test at each node, choosing the attribute that best separates the training examples. It provides an example of using ID3 to build a decision tree to predict whether someone will play tennis based on weather attribu

Author

Van Blizzard

Language

EN