Deron Wan's Quiz History_ Module 1 - Lesson 2_ Knowledge Check

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DeVry University, Keller Graduate School of Management *

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312

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Industrial Engineering

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Dec 6, 2023

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pdf

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10/27/23, 8:15 AM Deron Wan's Quiz History: Module 1 - Lesson 2: Knowledge Check https://devryu.instructure.com/courses/100175/quizzes/355830/history?version=1 1/2 Module 1 - Lesson 2: Knowledge Check Results for Deron Wan Score for this attempt: 30 out of 30 Submitted Oct 27 at 6:15am This attempt took 2 minutes. 6 / 6 pts Question 1 In machine learning, you will need a _____ set of observational data and a(n) _____ set for evaluations. training; test Correct! Correct! half; full label; feature supervised; unsupervised Correct 6 / 6 pts Question 2 Your goal is to predict emergency room wait times based on information such as the day of the week, the staffing information at the hospital, the symptoms of the patient, and other factors. You have 2 years of past data from the hospital. What type of machine-learning technique would you use for this? Clustering Recommender Classification Regression Correct! Correct! Correct 6 / 6 pts Question 3 _____ states that the best models are simple models that fit the data well. Jenna's tweezers Matthew's toothbrush Sarah's hairdryer
10/27/23, 8:15 AM Deron Wan's Quiz History: Module 1 - Lesson 2: Knowledge Check https://devryu.instructure.com/courses/100175/quizzes/355830/history?version=1 2/2 Occam's razor Correct! Correct! Correct 6 / 6 pts Question 4 You have historical credit card data from a major company, including transaction data and fraud reports from customers. Your goal is to build a detector for credit card fraud that predicts a value of False for all legitimate accounts and a value of True when an account is subject to a potentially fraudulent transaction. What type of machine-learning technique would you use for this? Classification Correct! Correct! Recommender Clustering Regression Correct 6 / 6 pts Question 5 Which type of machine learning is considered unsupervised? Classification Clustering Correct! Correct! Recommender Regression Correct Quiz Score: 30 out of 30
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