Predict Site Type Based on Improving Decision Tree Algorithm

摘要

This paper describes how to construct decision trees and improve. There are some improvement such as Working with Many States in a Variable、 Avoiding Overtraining、 Incorporating Continuous-Valued Attributes、 Handling Training Examples with Missing Attribute Values and Using it for Association Analysis. The model can predict the Site Type and find other factors associated with Site Type.