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Question5 Jeremy has a complex model named A. He split a dataset into 90% training data and 10% testing data. He trained his model on the training dataset and reported 80% accuracy. • Is the number Jeremy reported reliable? Why? Explain your answer. • Can Jeremy make his report more reliable by changing the split ratio? Why do you think the ratio you are suggesting is a good one? Explain your reasoning. • What trick/method can he use to make his trained model accuracy report less prone to data split randomness?

Question5 Jeremy has a complex model named A. He split a dataset into 90% training data and 10% testing data. He trained his model on the training dataset and reported 80% accuracy. • Is the number Jeremy reported reliable? Why? Explain your answer. • Can Jeremy make his report more reliable by changing the split ratio? Why do you think the ratio you are suggesting is a good one? Explain your reasoning. • What trick/method can he use to make his trained model accuracy report less prone to data split randomness?

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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Question5 Jeremy has a complex model named A. He split a dataset into 90% training data and 10% testing data. He trained his model on the training dataset and reported 80% accuracy. Is the number Jeremy reported reliable? Why? Explain your answer. • Can Jeremy make his report more reliable by changing the split ratio? Why do you think the ratio you are suggesting is a good one? Explain your reasoning. • What trick/method can he use to make his trained model accuracy report less prone to data split randomness?
Transcribed Image Text:Question5 Jeremy has a complex model named A. He split a dataset into 90% training data and 10% testing data. He trained his model on the training dataset and reported 80% accuracy. Is the number Jeremy reported reliable? Why? Explain your answer. • Can Jeremy make his report more reliable by changing the split ratio? Why do you think the ratio you are suggesting is a good one? Explain your reasoning. • What trick/method can he use to make his trained model accuracy report less prone to data split randomness?
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