ISYE 6501 Midterm Quiz 1 - GT Students updated 2021

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GT Students and Veried View the Proctoring System Requirements to ensure that your set-up will work. Note that proctoring is only supported on MacOS and Windows machines. We recommend 2 GB of free s... pace on your machine, and a functioning Webcam is required. Your space should be clean, no writing visible on walls or surfaces, and you should be alone in the room. Please make sure that you have veried your ID before taking the exam. 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 or scanned) notes If any question seems ambiguous, use the most reasonable interpretation (i.e. don't be like Calvin): Good Luck! Question 0 -- Practice with Drag & Drop 0 points possible (ungraded)  Keyboard Help Some of the quiz questions are Drag-and-Drop. You'll need to drag one or more answers to a location. Some answers might not be used at all, and some answers will be used once. To get full credit you might need to drag more than one answer to some locations, just one answer to other locations, and some locations might not have any correct answers. Please do this quick practice question. The question will give you feedback to make sure you've done it correctly, but the real quiz questions will not. FEEDBACK  Correctly placed 3 items.  Good work! You have completed this drag and drop problem. Note that: (1) There are two places you could've put (x=2,y=3); either one would be correct. (2) One location (x+y=2) had nothing dragged to it. Another location had two answers dragged to it. (3) One choice (x=1,y=7) was not dragged anywhere, since it wasn't correct for anything.  Reset Submit You have used 2 of 10 attempts.  Show Answer Question 1 11/13 points (graded)  Keyboard Help Drag each of the 13 models/methods to one of the 5 categories of question it is commonly used for, unless no correct category is listed for it. For models/methods that have more than one correct category, choose any one correct category; for models/methods that have no correct category listed, x=1,y=7 x=2,y=3 x=1,y=4 x=1,y=6 5/1/2020 GT Students and Verified | Midterm Quiz 1 | ISYE6501x Courseware | edX https://courses.edx.org/courses/course-v1:GTx+ISYE6501x+1T2020/courseware/a8e7783f3b6d4b21bbf5720bb6f02a92/5b27328248f3436fac8492b25e8e8335/?activate_block_id=block-v1%3AGTx%2BISYE6501x%2B1T2020%2Btype%40sequential%2Bblock%405b27328248f3436fac8492b25e8e8335 2/11 Question 2 3.0/3.0 points (graded) Select all of the following models that are designed for use with attribute/feature data (i.e., not time-series data):  You have used 1 of 1 attempt Information for Questions 3a, 3b, 3c Figures A and B show the training data for a soft classication problem, using two predictors (x and x ) to separate between black and white points. The dashed lines are the classiers found using SVM. Figure A uses a linear kernel, and Figure B uses a nonlinear kernel that required tting 16 parameter values. do not drag them. FEEDBACK  Correctly placed 11 items.  Misplaced 2 items.  Good work! You have completed this drag and drop problem.  Final attempt was used, highest score is 11.0 Submit You have used 1 of 1 attempts.  Reset  Show Answer Exponential smoothing ARIMA k-means Principal component analysis Linear regression k-nearest-neighbor Random forest CUSUM Logistic regression Support vector machine GARCH Submit 1 2 CUSUM Principal component analysis Support vector machine k-means ARIMA CART Exponential smoothing k-nearest-neighbor Linear regression Logistic regression Random forest Cross validation GA [Show More]

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