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Let's say you have a labeled dataset of 2000 emails and you are trying to classify them as spam or ham, Your model comes with the following outputs: Your model has predicted that out of these 2000 emails, 1500 are ham and 500 are spam Of those 1500 emails predicted as ham, only 700 are actually labeled as ham Of those 500 emails predicted as spam, only 300 are actually labeled as spam What is the accuracy of your model? • Your choice: incorrect - 25% • Correct- 50% • Incorrect-

Let's say you have a labeled dataset of 2000 emails and you are trying to classify them as spam or ham, Your model comes with the following outputs: Your model has predicted that out of these 2000 emails, 1500 are ham and 500 are spam Of those 1500 emails predicted as ham, only 700 are actually labeled as ham Of those 500 emails predicted as spam, only 300 are actually labeled as spam What is the accuracy of your model? • Your choice: incorrect - 25% • Correct- 50% • Incorrect-

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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Let's say you have a labeled dataset of 2000 emails and you are trying to classify them as spam or ham, Your model comes with the following outputs: Your model has predicted that out of these 2000 emails, 1500 are ham and 500 are spam Of those 1500 emails predicted as ham, only 700 are actually labeled as ham Of those 500 emails predicted as spam, only 300 are actually labeled as spam What is the accuracy of your model? • Your choice: incorrect - 25% • Correct - 50% • Incorrect - 75% • Incorrect - 80%
Transcribed Image Text:Let's say you have a labeled dataset of 2000 emails and you are trying to classify them as spam or ham, Your model comes with the following outputs: Your model has predicted that out of these 2000 emails, 1500 are ham and 500 are spam Of those 1500 emails predicted as ham, only 700 are actually labeled as ham Of those 500 emails predicted as spam, only 300 are actually labeled as spam What is the accuracy of your model? • Your choice: incorrect - 25% • Correct - 50% • Incorrect - 75% • Incorrect - 80%
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