Observe thoroughly the restaurant_dat.csv dataset and the corresponding decision tree shown in the below figure. Using the entropy E and information gain IG, show by hand calculation how the attributes such as Patrons (Pat), Hungry (Hun), Type (Type), and Fri/Sat (FriSat) are chosen as a root node or decision nodes respectively. Based on your comprehensive E and IG calculations, could we also get other decision tree representations? Please provide analysis on this matter
Observe thoroughly the restaurant_dat.csv dataset and the corresponding decision tree shown in the below figure. Using the entropy E and information gain IG, show by hand calculation how the attributes such as Patrons (Pat), Hungry (Hun), Type (Type), and Fri/Sat (FriSat) are chosen as a root node or decision nodes respectively. Based on your comprehensive E and IG calculations, could we also get other decision tree representations? Please provide analysis on this matter
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Observe thoroughly the restaurant_dat.csv dataset and the corresponding decision tree shown in the below figure. Using the entropy E and information gain IG, show by hand calculation how the attributes such as Patrons (Pat), Hungry (Hun), Type (Type), and Fri/Sat (FriSat) are chosen as a root node or decision nodes respectively. Based on your comprehensive E and IG calculations, could we also get other decision tree representations? Please provide analysis on this matter.
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