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c) For the above dataset, you have been asked to build a decision tree to predict if someone will be employed following graduation. Which attribute would be picked for the first split to build a decision tree? (Hint: Calculate information gain)

c) For the above dataset, you have been asked to build a decision tree to predict if someone will be employed following graduation. Which attribute would be picked for the first split to build a decision tree? (Hint: Calculate information gain)

Computer Networking: A Top-Down Approach (7th Edition)
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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c) For the above dataset, you have been asked to build a decision tree to predict if someone will be employed following graduation. Which attribute would be picked for the first split to build a decision tree? (Hint: Calculate information gain)
Transcribed Image Text:c) For the above dataset, you have been asked to build a decision tree to predict if someone will be employed following graduation. Which attribute would be picked for the first split to build a decision tree? (Hint: Calculate information gain)
Problem 2: ID Major Avg. project score Avg. exam score Employed? Salary Computer B. C Yes 90,000 2 Engineering Yes 75,000 Engineering D No Math B. No Computer Yes 95,000 a) Suppose that the data warehouse consists of the four dimensions Major, avg. project score, avg. exam score, and employed company, and the one that measures salary. Diagram a star schema containing employment statistics data for recent graduates. b) Describe how a data cube could be used (what specific OLAP operations should be performed) to determine, which employees earn the highest salaries?
Transcribed Image Text:Problem 2: ID Major Avg. project score Avg. exam score Employed? Salary Computer B. C Yes 90,000 2 Engineering Yes 75,000 Engineering D No Math B. No Computer Yes 95,000 a) Suppose that the data warehouse consists of the four dimensions Major, avg. project score, avg. exam score, and employed company, and the one that measures salary. Diagram a star schema containing employment statistics data for recent graduates. b) Describe how a data cube could be used (what specific OLAP operations should be performed) to determine, which employees earn the highest salaries?
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