GT Students and Verified, 2022/2023 update, Graded A+,

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GT Students and VeriÕed 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 ... space 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 veriÕed 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):   3/3/2020 GT Students and Verified | Midterm Quiz 1 | ISYE6501x Courseware | edX https://courses.edx.org/courses/course-v1:GTx+ISYE6501x+1T2020/courseware/a8e7783f3b6d4b21bbf5720bb6f02a92/5b27328248f3436fac8492b2… 2/27 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. x=1,y=7 x=2,y=3 x=1,y=43/3/2020 GT Students and Verified | Midterm Quiz 1 | ISYE6501x Courseware | edX https://courses.edx.org/courses/course-v1:GTx+ISYE6501x+1T2020/courseware/a8e7783f3b6d4b21bbf5720bb6f02a92/5b27328248f3436fac8492b2… 3/27 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. You have used 1 of 10 attempts.  Reset Submit  Show Answer Question 1 9/13 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, do not drag them. x=1,y=6 CUSUM Principal component analysis3/3/2020 GT Students and Verified | Midterm Quiz 1 | ISYE6501x Courseware | edX https://courses.edx.org/courses/course-v1:GTx+ISYE6501x+1T2020/courseware/a8e7783f3b6d4b21bbf5720bb6f02a92/5b27328248f3436fac8492b2… 4/27 FEEDBACK  Correctly placed 8 items.  Misplaced 4 items.  Good work! You have completed this drag and drop problem.  Final attempt was used, highest score is 9.0 Submit You have used 1 of 1 attempts.  Reset  Show Answer Support vector machine k-means ARIMA CART Exponential smoothing k-nearest-neighbor Linear regression Random forest Logistic regression Cross validation GARCH3/3/2020 GT Students and Verified | Midterm Quiz 1 | ISYE6501x Courseware | edX https://courses.edx.org/courses/course-v1:GTx+ISYE6501x+1T2020/courseware/a8e7783f3b6d4b21bbf5720bb6f02a92/5b27328248f3436fac8492b2… 5/27 Answers are displayed within the problem 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 k-nearest-neighbor Support vector machine Random forest GARCH Logistic regression Principal component analysis Exponential smoothing Linear regression CUSUM ARIMA k-means Submit 3/3/2020 GT Students and Verified | Midterm Quiz 1 | ISYE6501x Courseware | edX https://courses.edx.org/courses/course-v1:GTx+ISYE6501x+1T2020/courseware/a8e7783f3b6d4b21bbf5720bb6f02a92/5b27328248f3436fac8492b2… 6/27 Information for Questions 3a, 3b, 3c Figures A and B show the training data for a soft classiÕcation problem, using two predictors (x and x ) to separate between black and white points. The dashed lines are the classiÕers found using SVM. Figure A uses a linear kernel, and Figure B uses a nonlinear kernel that required Õtting 16 parameter values. Figure A Figure B Question 3a 3.0/3.0 points (graded) 3a. Select all of the following statements that are true. 1 2 Figure A's classiÕer is based only on the value of x1 . Figure A's classiÕer is more likely to be over-Õt than Figure B's classiÕer. Figure A's classiÕer has a narrower margin than Figure B's classiÕer in the training data. Figure A's classiÕer incorrectly classiÕes exactly 4 white points as black in the training data.3/3/2020 GT Students and Verified | Midterm Quiz 1 | ISYE6501x Courseware | edX https://courses.edx.org/courses/course-v1:GTx+ISYE6501x+1T2020/courseware/a8e7783f3b6d4b21bbf5720bb6f02a92/5b27328248f3436fac8492b2… 7/27 Answers are displayed within the problem Answers are displayed within the problem  You have used 1 of 1 attempt Question 3b 2.25/3.0 points (graded) 3b. Select all of the following statements that are true.  You have used 1 of 1 attempt Question 3c 3.0/3.0 points (graded) Figure A shows that the black point (7.2,1.4) is an outlier. Submit  Figure B's classiÕer is better than Figure A's classiÕer, because Figure B's classiÕer classiÕes more of the training data correctly. Figure B's classiÕer is more likely to be over-Õt than Figure A's classiÕer.  Figure B's classiÕer incorrectly classiÕes exactly 5 white points in the training data. Figure B shows that the black point (7.2,1.4) is colored incorrectly; it should actually be white. Submit 3/3/2020 GT Students and Verified | Midterm Quiz 1 | ISYE6501x Courseware | edX https://courses.edx.org/courses/course-v1:GTx+ISYE6501x+1T2020/courseware/a8e7783f3b6d4b21bbf5720bb6f02a92/5b27328248f3436fac8492b2… 8/27 Answers are displayed within the problem 3c. Select all of the following statements that are true.  You have used 1 of 1 attempt Question 3d 0.99/3.0 points (graded) In the soft classiÕcation SVM model where we select coeÞcients ... to minimize 3d. Select each of the following cases when we would want to increase the value of . A new point at (1,1) would be classiÕed as white by Figure A's classiÕer. A new point at (1,1) would be classiÕed as white by Figure B's classiÕer. A new point at (1,1) would be classiÕed as white by a -nearest-neighbor algorithm for . k 1 ≤ k ≤ 10 [Show More]

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