About this document
Decision Tree and Random Forest Guide by 11kc1-23-Lý Mẫn Nhi is a document available to read on EtoBox.
The document discusses the decision tree model and the random forest model, including concepts such as entropy, information gain, and overfitting. It outlines the structure of a decision tree, detailing the roles of root nodes, decision nodes, and leaf nodes in classification. Additionally, it covers the decision tree learning algorithm and the process of selecting features for the root node test.
- Author
- 11kc1-23-Lý Mẫn Nhi
- Language
- EN