Engineering > QUESTIONS & ANSWERS > ISYE_6501_Midterm_1 Latest Updated 2022 Rated A+ (All)
ISYE_6501_Midterm_1 Latest Updated 2022 Rated A+
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ISYE 6501 Midterm 1 Due Jun 21 at 9am Points 100 Questions 45 Available after Jun 10 at 9am Time Limit 95 Minutes Instructions Honorlock Chrome Extension This exam requires Google Chrome and t... he Honorlock Chrome Extension. Extension Added Please navigate back to your Learning Management System and begin your exam. Submission Details: Time: 51 minutes Current Score: 89.05 out of 100 Kept Score: 89.05 out of 100 Summer 2021 Home Piazza Announcements Modules Grades Honorlock CIOS Well-Being Connect Mental Health Resources Ed Discussion Need Help? Attempt History Attempt Time Score LATEST Attempt 1 51 minutes 89.05 out of 100 Score for this quiz: 89.05 out of 100 Submitted Jun 20 at 11:13am This attempt took 51 minutes. 95 Minute Time Limit Instructions Work alone. Do not collaborate with or copy from anyone else. You may use any of the following resources: One sheet (both sides) of handwritten (not photocopied, scanned, or printed) notes If any question seems ambiguous, use the most reasonable interpretation (i e don't be like reasonable interpretation (i.e., don t be like Calvin): If you experience any technical issues (i.e. images notloading) you may refresh the page without interrupting your exam attempt. Ifthe issue persists,then please finish the exam and letthe Instructors know aboutthe issue in a private Piazza post afterwards. Good luck! Que 12 / 13 pts stion 1 1. For each of the 13 models/methods, select the choice that includes the category of question it is commonly used for. For models/methods that have more than one correct category, the one it is most Answer 1: Answer 2: commonly used for; for models/methods that have no correct category listed, select"None". i. ARIMA Response prediction ii. CART Classification and Response prediction iii. Cross validation Validation iv. CUSUM None of the other choices v. Exponential smoothing Response prediction vi. GARCH Variance estimation vii. kmeans Clustering viii. k-nearest-neighbor Classification and Response prediction ix. Linear regression Response prediction x. Logistic regression Classification and Response prediction xi. Principal component analysis Classification and Response prediction xii. Random forest Classification and Response prediction xiii. Support vector machine Classification CCoorrrreecctt!! Response prediction CCoorrrreecctt!! Classification and Response prediction Answer 3: Answer 4: Answer 5: Answer 6: Answer 7: Answer 8: Answer 9: Answer 10: Answer 11: CCoorrrreecctt!! Validation CCoorrrreecctt!! None of the other choices CCoorrrreecctt!! Response prediction CCoorrrreecctt!! Variance estimation CCoorrrreecctt!! Clustering CCoorrrreecctt!! Classification and Response prediction CCoorrrreecctt!! Response prediction CCoorrrreecctt!! Classification and Response prediction Answer 12: Answer 13: YYoouu AAnnsswweerreedd Classification and Response prediction CCoorrrreecctt AAnnsswweerr None of the other choices CCoorrrreecctt!! Classificatio [Show More]
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