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2023 ISYE 6501 Midterm 1 A+ Already Graded
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2023 ISYE 6501 Midterm 1 A+ Already Graded
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lSummer 2021
ISYE 6501 Midterm 1 Submission Details:
Home
Time: 51 minutes
Due Jun 23 at 9am Points 100
Piazza
Questions 45 Current 89.05 out of
Announcements Available after Jun 10 at 9am Score: 100
Modules Time Limit 95 Minutes
89.05 out of
Kept Score:
Grades 100
Honorlock
Instructions
CIOS
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,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
, Calvin):
If you experience any technical issues (i.e. images
not loading) you may refresh the page without
interrupting your exam attempt. If the issue
persists, then please finish the exam and let the
Instructors know about the issue in a private
Piazza post afterwards.
Good luck!
Question 1 pts
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
, 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
Answer 1:
Co r r ec t ! Response prediction
Answer 2:
Co r r ec t ! Classification and Response prediction
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