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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): Good Luck!    Question 1 12/13 points (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. Question 2 3.0/3.0 points (graded) Select all of the following models that are designed for use with time series data: FEEDBACK  Correctly placed 11 items.  Misplaced 1 item.  Good work! You have completed this drag and drop problem.  Final attempt was used, highest score is 12.0 You have used 1 of 1 attempts.  Show Answer Submit  Reset ARIMA CUSUM Exponential Smoothing CART k-nearest-neighbor Support vector machine k-means ARIMA Exponential smoothing Linear regression Logistic regression Principal component analysis Random forest Cross validation GARCH03/10/2019 Midterm Quiz 1 - Audit Learners | Midterm Quiz 1 - Audit Learners | ISYE6501x Courseware | edX https://courses.edx.org/courses/course-v1:GTx+ISYE6501x+3T2018/courseware/a8e7783f3b6d4b21bbf5720bb6f02a92/7244922e3d3a401994e816b… 3/16  You have used 1 of 1 attempt INFORMATION FOR QUESTIONS 3A, 3C FIGURES A AND B SHOW THE TRAINING DATA FOR A CLASSIFICATION PROBLEM, USING TWO PREDICTORS (X AND X ) TO SEPARATE BETWEEN BLACK AND WHITE POINTS. THE DASHED LINES ARE THE CLASSIFIERS. Figure A Figure B Question 3a 3.0/3.0 points (graded) Figure B shows an SVM classiÕcation using a complex nonlinear kernel. (To get this perfect Õt to the training data, it required Õtting 16 parameter values!) Which of the following is true?  You have used 1 of 1 attempt GARCH k-nearest-neighbor Submit 1 2 Figure B is a very good classiÕer, because it correctly classiÕes all of the training data. Figure B is a very good classiÕer, because the model’s complexity shows that it is a deep analysis. Figure B is a bad classiÕer to use, because it is overÕt. Figure B might or might not be a good classiÕer, because it is overÕt. Submit03/10/2019 Midterm Quiz 1 - Audit Learners | Midterm Quiz 1 - Audit Learners | ISYE6501x Courseware | edX https://courses.edx.org/courses/course-v1:GTx+ISYE6501x+3T2018/courseware/a8e7783f3b6d4b21bbf5720bb6f02a92/7244922e3d3a401994e816b… 4/16 INFORMATION FOR QUESTIONS 3B, 3C FIGURE C Question 3b 0.6/3 points (graded)  Keyboard Help PROBLEM Figure C shows a classiÕcation that was found by a classiÕcation tree model. Drag the components of the classiÕcation tree into their correct places so that your tree gives the same classiÕcation shown in Figure C. Submit You have used 1 of 1 attempts.03/10/2019 Midterm Quiz 1 - Audit Learners | Midterm Quiz 1 - Audit Learners | ISYE6501x Courseware | edX https://courses.edx.org/courses/course-v1:GTx+ISYE6501x+3T2018/courseware/a8e7783f3b6d4b21bbf5720bb6f02a92/7244922e3d3a401994e816b… 5/16 Question 3c 4.0/4.0 points (graded) Select all of the following models that would classify the point (3,3) as white:  You have used 1 of 1 attempt Question 3d 3.0/3.0 points (graded) In the soft classiÕcation SVM model where we select coeÞcients ... to minimize if we want to have a larger margin even though it means possibly having more classiÕcation error, the value of should get  You have used 1 of 1 attempt FEEDBACK  Correctly placed 1 item.  Misplaced 4 items.  Good work! You have completed this drag and drop problem.  Final attempt was used, highest score is 0.6  Show Answer  Reset Figure A Figure B Figure C k-nearest-neighbor classiÕcation with k=7 Submit a0 am ∑max{0, 1 − ( + ) } + C j−1 n m∑i=1 aixij a0 yj ∑ i=1 m a2 i C Larger Smaller It’s irrelevant Submit03/10/2019 Midterm Quiz 1 - Audit Learners | Midterm Quiz 1 - Audit Learners | ISYE6501x Courseware | edX https://courses.edx.org/courses/course-v1:GTx+ISYE6501x+3T2018/courseware/a8e7783f3b6d4b21bbf5720bb6f02a92/7244922e3d3a401994e816b… 6/16 INFORMATION FOR QUESTIONS 4A, 4B Seven diàerent regression models have been Õtted, using diàerent sets of variables. The Õgure below shows the resulting adjusted R-squared value for various models, as measured by cross-validation. [Show More]

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