An Improved ID3 Decision Algorithm and Its Application
Abstract：ID3 decision tree algorithm is an important inductive learning method,which is often used in case-based learning and prediction. ID3 algorithm takes the concept of entropy in information theory as base station,and constructs decision tree by se?lecting attributes with high information content. However,the algorithm tends to take more attributes. This paper improves ID3 deci?sion-making algorithm from the point of setting attribute selection requirements,and illustrates the feasibility of the improved algo?rithm through an example.
Keywords：ID3decision treeinformation theory
Publication Date：2019-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：3( 2943-2945 )