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Decision tree
The document describes the ID3 algorithm for building a decision tree to predict whether tennis will be played based on weather attributes. It explains that ID3 creates a decision tree by selecting the attribute that best splits the training data at each node, based on calculating the information gain of attributes. It then walks through applying ID3 to build a sample decision tree, calculating entropy and information gain for attributes like outlook, temperature, and humidity at each node.
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