a) Which attribute would information gain choose as the root of the tree? b) Draw the decision tree that would be constructed by recursively applying information gain to select roots of sub- trees, as in the Decision-Tree-Learning algorithm. c) Generate Decision rules from decision tree. S# Holiday Weather Paper Picnic (Category) Yes Rainy easy No 2 Yes Rainy Difficult No 3 Yes Rainy Difficult Yes Yes Sunny Difficult Yes Yes Sunny easy Yes Yes Sunny easy No Yes Rainy Difficult No Yes Sunny Difficult Yes No Sunny Difficult No No Rainy Difficult No 4 5 6 7 8 9 10

a) Which attribute would information gain choose as the root of the tree? b) Draw the decision tree that would be constructed by recursively applying information gain to select roots of sub- trees, as in the Decision-Tree-Learning algorithm. c) Generate Decision rules from decision tree. S# Holiday Weather Paper Picnic (Category) Yes Rainy easy No 2 Yes Rainy Difficult No 3 Yes Rainy Difficult Yes Yes Sunny Difficult Yes Yes Sunny easy Yes Yes Sunny easy No Yes Rainy Difficult No Yes Sunny Difficult Yes No Sunny Difficult No No Rainy Difficult No 4 5 6 7 8 9 10

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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