Decision Trees Part 2: Intro review, Entropy, Gain Explained, York University скачать в хорошем качестве

Decision Trees Part 2: Intro review, Entropy, Gain Explained, York University

This video is the recording of my lecture on Decision Trees (Part 2). This lecture includes: Review of previous lecture (Intro) Building a Decision Tree from a training set How to select best attribute for each node Entropy Information Gain How to handle different types of attributes Notes: 1) In the next videos (lectures), we'll explain other methods to select the best attribute (e.g., Gain Ratio and Gini Index) 2) This lecture does not include any hands-on or coding examples. Practical demonstrations will be covered in a separate, complementary lecture/video. Acknowledgment: The slides used in this lecture are mostly based on course materials kindly shared by Dr. Aijun An.