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This project is based in the ID3 algorithm ... uses a top-down greedy approach to build a decision tree. Dataset: Tennis dataset is chosen. There are 4 attributes: Outlook, Temp, Humidity, Wind. The ...
The ID3 algorithm selects attributes based on information gain to form branches, creating a tree structure where each node represents a decision point. Tree Output: Once the tree is constructed, it’s ...
Abstract: The Decision Tree is an important classification method in data mining classification. Aiming at deficiency of ID3 algorism, a new improved classification algorism is proposed in this paper.
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