About this document
C4.5 Decision Tree Explained Step-by-Step by nayan jain is a document available to read on EtoBox.
The document discusses the C4.5 decision tree algorithm and provides a step-by-step example of building a decision tree model. It calculates the entropy, information gain, and gain ratio for various attributes in a sample weather dataset to determine the root node. Outlook had the highest gain and gain ratio, so it was selected as the root node. The tree then split on humidity levels for sunny days and always predicted yes for overcast days.
- Author
- nayan jain
- Language
- EN