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.

The simulation results show that the classification accuracy of ID3 decision tree was 6–7 percentage points higher than the other classification algorithms in this paper, meanwhile, the generation of ...