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ISYE Midterm Quiz 1 - Audit Learners 100 out of 100 points.
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ISYE Midterm Quiz 1 - Audit Learners 100 out of 100 points.
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5/28/2019 Midterm Quiz 1 - Audit Learners | Midterm Quiz 1 - Audit Learners | ISYE6501x Courseware | edXCourse Midterm Quiz 1 Midterm Quiz 1 - A… Midterm Quiz 1 - A…
Midterm Quiz 1 - Audit Learners
90 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 or scanned) notes
If any question seems ambiguous, use the most reasonable interpretation (i.e. don't be like Calvin):
https://courses.edx.org/courses/course-v1:GTx+ISYE6501x+1T2019/courseware/a8e7783f3b6d4b21bbf5720bb6f02a92/7244922e3d3a401994e816be1741097c/1?activate_block_id=block-v1%3AGTx%2BISYE6501x%2… 1/31
,5/28/2019 Midterm Quiz 1 - Audit Learners | Midterm Quiz 1 - Audit Learners | ISYE6501x Courseware | edX
Good Luck!
Question 1
13 points possible (graded)
Keyboard Help
Drag each model to a type of question it is commonly used for. For models that have more than one
correct answer, choose any one correct answer; for models that have no correct answer listed, do not
drag them.
ARIMA CART Cross validation CUSUM Exponential smoothing GARCH k-means
k-nearest-neighbor Linear regression Logistic regression Principal component analysis
https://courses.edx.org/courses/course-v1:GTx+ISYE6501x+1T2019/courseware/a8e7783f3b6d4b21bbf5720bb6f02a92/7244922e3d3a401994e816be1741097c/1?activate_block_id=block-v1%3AGTx%2BISYE6501x%2… 2/31
,5/28/2019 Midterm Quiz 1 - Audit Learners | Midterm Quiz 1 - Audit Learners | ISYE6501x Courseware | edX
Random forest Support vector machine
Submit You have used 0 of 1 attempts.
https://courses.edx.org/courses/course-v1:GTx+ISYE6501x+1T2019/courseware/a8e7783f3b6d4b21bbf5720bb6f02a92/7244922e3d3a401994e816be1741097c/1?activate_block_id=block-v1%3AGTx%2BISYE6501x%2… 3/31
, 5/28/2019 Midterm Quiz 1 - Audit Learners | Midterm Quiz 1 - Audit Learners | ISYE6501x Courseware | edX
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Question 2
0.0/3.0 points (graded)
Select all of the following models that are designed for use with time series data:
ARIMA
CUSUM
Exponential Smoothing
GARCH
k-nearest-neighbor
Submit You have used 0 of 1 attempt
https://courses.edx.org/courses/course-v1:GTx+ISYE6501x+1T2019/courseware/a8e7783f3b6d4b21bbf5720bb6f02a92/7244922e3d3a401994e816be1741097c/1?activate_block_id=block-v1%3AGTx%2BISYE6501x%2… 4/31
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